CN116773762B - Heterogeneous catalytic wastewater treatment monitoring system and method - Google Patents

Abstract

The invention provides a heterogeneous catalytic wastewater treatment monitoring system and a heterogeneous catalytic wastewater treatment monitoring method, which are used for detecting the in-situ generation process of heterogeneous catalytic nano particles modified on the surface of a separation membrane and obtaining parameters of the in-situ generation process of the heterogeneous catalytic nano particles of the separation membrane; detecting the water quality of the multiphase catalytic wastewater treatment process in real time according to the in-situ generation process parameters of the multiphase catalytic nano particles of the separation membrane, and obtaining water quality data of the multiphase catalytic wastewater treatment process; analyzing the relationship between the water quality data of the multiphase catalytic wastewater treatment process and the in-situ generation process parameters of the multiphase catalytic nanoparticles of the separation membrane, and training a neural network by utilizing the relationship between the wastewater treatment water quality and the multiphase catalytic process to obtain a wastewater treatment multiphase catalytic relationship model; according to the multiphase catalysis relation model for wastewater treatment, the final water quality of the multiphase catalysis wastewater treatment is intelligently predicted and judged, the multiphase catalysis wastewater treatment process is adjusted, and the water quality of the wastewater treatment process is intelligently judged and monitored in real time.

Description

A heterogeneous catalytic wastewater treatment monitoring system and method

Technical field

The present invention relates to the technical field of environmentally friendly wastewater treatment and monitoring. More specifically, the invention relates to a heterogeneous catalytic wastewater treatment monitoring system and method.

Background technique

At present, with the development of industrial, agricultural production and life, the types and contents of refractory organic pollutants and new pollutants in the water environment are becoming increasingly diversified, and the wastewater pollution situation is becoming more and more complex, bringing new technologies to the field of environmentally friendly wastewater treatment. Problems and challenges; Conventional wastewater treatment processes usually focus on removing suspended and colloidal pollutants in water, and their ability to remove refractory organic pollutants is very limited; therefore, heterogeneous catalytic oxidation plays an important role in diverse and complex wastewater treatment processes. Its application prospects are becoming more and more important; heterogeneous catalysis can not only remove suspended and colloidal pollutants in water, but also comprehensively remove refractory organic pollutants without introducing other toxic and harmful chemicals. The catalyst can be filled in one time. There are very extensive technical advantages in the wastewater treatment process; however, at this stage, the monitoring of the heterogeneous catalytic process of wastewater treatment and the real-time monitoring of water quality still need to be improved; the accuracy of the monitoring of the catalytic process of heterogeneous catalytic wastewater treatment still needs to be improved. Specific problems include : How to detect the in-situ generation process of separation membrane surface-modified heterogeneous catalytic nanoparticles, how to detect the water quality of heterogeneous catalytic wastewater treatment process, how to analyze the water quality data of heterogeneous catalytic wastewater treatment process and the in-situ generation process parameters of separation membrane heterogeneous catalytic nanoparticles The relationship between the two, how to predict and determine the final water quality of wastewater treatment, adjust the wastewater treatment process, and intelligently determine the real-time monitoring of water quality have yet to be solved; therefore, it is necessary to propose a heterogeneous catalytic wastewater treatment monitoring system and method to at least partially Solve the problems existing in the existing technology.

Contents of the invention

The summary of the invention introduces a series of concepts in simplified form, which will be further described in detail in the detailed description of the invention; the summary of the invention is not meant to attempt to define the key features and essential features of the claimed technical solution. technical features, let alone an attempt to determine the scope of protection of the claimed technical solution.

In order to at least partially solve the above problems, the present invention provides a heterogeneous catalytic wastewater treatment monitoring system, including:

Nanoparticle heterogeneous catalytic detection subsystem is used to detect the in-situ generation process of separation membrane surface-modified heterogeneous catalytic nanoparticles and obtain the in-situ generation process parameters of separation membrane heterogeneous catalytic nanoparticles;

The multiphase catalytic wastewater treatment detection subsystem is used to detect the water quality of the multiphase catalytic wastewater treatment process in real time based on the in-situ generation process parameters of the separation membrane multiphase catalytic nanoparticles, and obtain the water quality data of the multiphase catalytic wastewater treatment process;

The detection data analysis subsystem is used to analyze the relationship between the water quality data of the heterogeneous catalytic wastewater treatment process and the in-situ generation process parameters of the separation membrane heterogeneous catalytic nanoparticles, and use the relationship between wastewater treatment water quality and heterogeneous catalysis to train the neural network , obtain the heterogeneous catalytic relationship model for wastewater treatment;

The intelligent judgment and real-time monitoring subsystem is used to intelligently predict and judge the final water quality of multiphase catalytic wastewater treatment based on the multiphase catalytic relationship model of wastewater treatment, adjust the multiphase catalytic wastewater treatment process, and perform intelligent judgment and real-time monitoring of water quality in the wastewater treatment process.

Preferably, the nanoparticle heterogeneous catalytic detection subsystem includes:

The separation membrane detection subsystem is used to detect the basic parameters of the basic separation membrane and obtain the basic detection parameters of the separation membrane;

The modification process detection subsystem is used to perform surface modification on the basic separation membrane based on the basic detection parameters of the separation membrane and detect the surface modification parameters of the separation membrane;

The in-situ generation and detection subsystem of nanoparticles is used to generate in-situ heterogeneous catalytic nanoparticles based on the surface modification parameters of the separation membrane, and detect the in-situ generation process parameters of the surface-modified heterogeneous catalytic nanoparticles of the separation membrane to obtain the multi-phase properties of the separation membrane. Process parameters for in situ generation of catalytic nanoparticles.

Preferably, the heterogeneous catalytic wastewater treatment detection subsystem includes:

The separation membrane heterogeneous catalytic sampling subsystem is used to sample a small amount of the separation membrane heterogeneous catalytic nanoparticles in real time during the wastewater treatment process, and automatically adds a preset proportion of distilled water to dilute and mix according to the sampling amount, and quantitatively pipettes the liquid into the mixture to be detected. Suspension container to obtain a quantitative suspension sample to be tested;

The suspension sample classification subsystem is used to classify the quantitative suspension samples to be tested based on the wastewater empirical model to obtain the suspension sample classification to be tested;

The wastewater treatment process water quality detection subsystem is used to conduct water quality detection on quantitative suspension samples to be detected based on the classification of the suspension samples to be detected, detect the water quality of the multiphase catalytic wastewater treatment process, and obtain water quality data of the multiphase catalytic wastewater treatment process. .

Preferably, the detection data analysis subsystem includes:

The process water quality reference standard subsystem is used to calculate the water quality reference standard of the wastewater treatment process through historical wastewater treatment data and obtain the water quality reference standard data of the wastewater treatment process;

The processing catalytic data training subsystem is used to use the reference standard data of water quality in the wastewater treatment process, the parameter data of the in-situ generation process of the separation membrane multi-phase catalytic nanoparticles as input, and the water quality data of the multi-phase catalytic wastewater treatment process as the output. The phase catalysis relationship data is trained through neural network to obtain the neural network training results of wastewater treatment multi-phase catalysis relationship data;

The wastewater treatment heterogeneous catalysis model subsystem is used to analyze the wastewater treatment heterogeneous catalysis relationship data neural network training results until the wastewater treatment heterogeneous catalysis relationship data neural network training results stabilize at the setting reference comparison of the wastewater treatment process water quality reference standard data. Scope, obtain the heterogeneous catalytic relationship model for wastewater treatment.

Preferably, the intelligent judgment real-time monitoring subsystem includes:

The final water quality result prediction subsystem is used to predict the final water quality result of wastewater treatment based on the multiphase catalytic relationship model of wastewater treatment, and obtain the final water quality prediction information of wastewater treatment;

The final water quality prediction and determination subsystem is used to determine whether the final water quality prediction of wastewater treatment meets the final water quality standard of wastewater treatment based on the final water quality prediction information of wastewater treatment, and obtain the final water quality prediction and determination result of wastewater treatment;

The intelligent determination real-time monitoring subsystem is used to adjust the multi-phase catalytic wastewater treatment process based on the final water quality prediction and determination results of wastewater treatment, and perform real-time monitoring of the intelligent determination of water quality in the wastewater treatment process.

The invention provides a heterogeneous catalytic wastewater treatment monitoring method, which includes:

S100, detect the in-situ generation process of the separation membrane surface-modified heterogeneous catalytic nanoparticles, and obtain the in-situ generation process parameters of the separation membrane multi-phase catalytic nanoparticles;

S200, based on the in-situ generation process parameters of multi-phase catalytic nanoparticles of the separation membrane, detects the water quality of the multi-phase catalytic wastewater treatment process in real time, and obtains the water quality data of the multi-phase catalytic waste water treatment process;

S300, analyze the relationship between the water quality data of the heterogeneous catalytic wastewater treatment process and the in-situ generation process parameters of the separation membrane heterogeneous catalytic nanoparticles, and use the relationship between wastewater treatment water quality and heterogeneous catalysis to train the neural network to obtain the multiphase wastewater treatment Catalytic relationship model;

S400, based on the multiphase catalytic relationship model of wastewater treatment, intelligently predicts and determines the final water quality of multiphase catalytic wastewater treatment, adjusts the multiphase catalytic wastewater treatment process, and performs real-time monitoring of the intelligent determination of water quality in the wastewater treatment process.

Preferably, S100 includes:

S101, detect the basic parameters of the basic separation membrane and obtain the basic detection parameters of the separation membrane;

S102, perform surface modification on the basic separation membrane according to the basic detection parameters of the separation membrane, and detect the surface modification parameters of the separation membrane;

S103, perform in-situ generation of heterogeneous catalytic nanoparticles based on the separation membrane surface modification parameters, and detect the in-situ generation process parameters of the separation membrane surface-modified heterogeneous catalytic nanoparticles to obtain the in-situ generation process parameters of the separation membrane multi-phase catalytic nanoparticles.

Preferably, S200 includes:

S201, during the wastewater treatment process, a small amount of heterogeneous catalytic nanoparticles on the separation membrane are sampled in real time, and a preset proportion of distilled water is added to dilute and mix automatically according to the sampling amount, and the liquid is quantitatively transferred to the suspension container to be detected to obtain a quantitative suspension to be detected. liquid sample;

S202. According to the wastewater empirical model, classify the quantitative suspension sample to be detected to obtain the classification of the suspension sample to be detected;

S203. According to the classification of the suspension sample to be detected, perform water quality testing on the quantitative suspension sample to be detected, detect the water quality of the multi-phase catalytic wastewater treatment process, and obtain the water quality data of the multi-phase catalytic wastewater treatment process.

Preferably, S300 includes:

S301, calculate the water quality reference standard of the wastewater treatment process through historical wastewater treatment data, and obtain the water quality reference standard data of the wastewater treatment process;

S302, according to the water quality reference standard data of the wastewater treatment process, the parameter data of the in-situ generation process of the separation membrane multi-phase catalytic nanoparticles is used as input, the water quality data of the multi-phase catalytic waste water treatment process is used as the output, and the multi-phase catalytic relationship data of the waste water treatment is passed through the neural network Conduct data training to obtain the neural network training results of wastewater treatment heterogeneous catalysis relationship data;

S303, analyze the neural network training results of the wastewater treatment multiphase catalytic relationship data until the wastewater treatment multiphase catalytic relationship data neural network training results stabilize within the set reference comparison range of the wastewater treatment process water quality reference standard data, and obtain the wastewater treatment multiphase catalytic relationship. Model.

Preferably, S400 includes:

S401, predict the final water quality results of wastewater treatment based on the multiphase catalytic relationship model of wastewater treatment, and obtain the final water quality prediction information of wastewater treatment;

S402, based on the final water quality prediction information of wastewater treatment, determine whether the final water quality prediction of wastewater treatment meets the final water quality standard of wastewater treatment, and obtain the final water quality prediction judgment result of wastewater treatment;

S403: Adjust the multiphase catalytic wastewater treatment process according to the final water quality prediction and determination results of wastewater treatment, and perform real-time monitoring of the intelligent water quality determination of the wastewater treatment process.

Compared with the prior art, the present invention at least includes the following beneficial effects:

The present invention is a multi-phase catalytic wastewater treatment monitoring system and method, which has obvious technical advantages in the wastewater treatment process; it can treat multiple types of pollutants in wastewater, greatly improves the processing capacity of refractory organic pollutants, and can remove suspended matter in the water. and colloidal pollutants, which can comprehensively remove refractory organic pollutants, effectively improve the detection ability of toxic and harmful chemical components, and significantly improve the utilization efficiency of catalysts; the accuracy of monitoring heterogeneous catalytic parameters of wastewater treatment has been significantly improved, and accurate detection can be achieved The in-situ generation process of separation membrane surface-modified heterogeneous catalytic nanoparticles solves the problem of real-time water quality monitoring in the heterogeneous catalytic wastewater treatment process. The water quality data of the heterogeneous catalytic wastewater treatment process and the in-situ generation process parameters of the separation membrane heterogeneous catalytic nanoparticles The comprehensiveness of the analysis of the relationship between them has been significantly improved, enabling innovative intelligent data processing in the wastewater treatment process. The data is clearer, more accurate, has large-scale versatility in the future, and can be replicated for large-scale applications.

A heterogeneous catalytic wastewater treatment monitoring system and method according to the present invention. Other advantages, objectives and characteristics of the present invention will be partly reflected by the following description, and partly will also be revealed by the research and practice of the present invention. understood by personnel.

Description of the drawings

The drawings are used to provide a further understanding of the present invention and constitute a part of the specification. They are used to explain the present invention together with the embodiments of the present invention and do not constitute a limitation of the present invention. In the attached picture:

Figure 1 is a schematic diagram of the framework of a multi-phase catalytic wastewater treatment monitoring system in an embodiment of the present invention.

Figure 2 is a schematic diagram of the steps of a heterogeneous catalytic wastewater treatment monitoring method in an embodiment of the present invention.

Figure 3 is a schematic diagram of the steps of a heterogeneous catalytic wastewater treatment monitoring method in another embodiment of the present invention.

Detailed ways

The present invention will be further described in detail below in conjunction with the accompanying drawings and examples, so that those skilled in the art can implement it with reference to the description; as shown in Figures 1-3, the present invention provides a heterogeneous catalytic wastewater treatment monitoring system ,include:

Nanoparticle heterogeneous catalytic detection subsystem is used to detect the in-situ generation process of separation membrane surface-modified heterogeneous catalytic nanoparticles and obtain the in-situ generation process parameters of separation membrane heterogeneous catalytic nanoparticles;

The multiphase catalytic wastewater treatment detection subsystem is used to detect the water quality of the multiphase catalytic wastewater treatment process in real time based on the in-situ generation process parameters of the separation membrane multiphase catalytic nanoparticles, and obtain the water quality data of the multiphase catalytic wastewater treatment process;

The detection data analysis subsystem is used to analyze the relationship between the water quality data of the heterogeneous catalytic wastewater treatment process and the in-situ generation process parameters of the separation membrane heterogeneous catalytic nanoparticles, and use the relationship between wastewater treatment water quality and heterogeneous catalysis to train the neural network , obtain the heterogeneous catalytic relationship model for wastewater treatment;

The intelligent judgment and real-time monitoring subsystem is used to intelligently predict and judge the final water quality of multiphase catalytic wastewater treatment based on the multiphase catalytic relationship model of wastewater treatment, adjust the multiphase catalytic wastewater treatment process, and perform intelligent judgment and real-time monitoring of water quality in the wastewater treatment process.

The principle and effect of the above technical solution are: the present invention provides a heterogeneous catalytic wastewater treatment monitoring system, which detects the in-situ generation process of the separation membrane surface-modified heterogeneous catalytic nanoparticles, and obtains the in-situ generation of the separation membrane multi-phase catalytic nanoparticles. Process parameters; soak the basic separation membrane in the buffer solution with the first set concentration and the first hydrogen ion concentration index, detect the first set concentration and the first hydrogen ion concentration index parameters; catalytically modify the first set concentration through the first oxidant group Preset time, detect the first oxidant composition and the first preset time; form a polymerization layer on the surface of the basic separation membrane, obtain the surface polymerization layer basic separation membrane, detect the surface polymerization layer thickness; soak the surface polymerization layer basic separation membrane in the third In two set concentration metal salt solutions, detect the concentration of the second set concentration metal salt solution; use the second reducing agent to modify the second preset time to generate nanoparticles in situ, and detect the second reducing agent concentration and the second preset time; Cycle the above steps to perform in-situ generation of separation membrane surface-modified heterogeneous catalytic nanoparticles, detect the in-situ generation process of separation membrane surface-modified heterogeneous catalytic nanoparticles, and obtain the parameters of the in-situ generation process of separation membrane heterogeneous catalytic nanoparticles; through heterogeneous catalysis During the wastewater treatment process, the water quality of the heterogeneous catalytic wastewater treatment process is detected in real time to obtain the water quality data of the heterogeneous catalytic wastewater treatment process; the water quality data of the heterogeneous catalytic wastewater treatment process is used as the first analysis parameter, and the separation membrane is used to generate in-situ multiphase catalytic nanoparticles. The process parameters are used as the second analysis parameters to analyze the relationship between the water quality data of the heterogeneous catalytic wastewater treatment process and the in-situ generation process parameters of the separation membrane multiphase catalytic nanoparticles, and use the relationship between wastewater treatment water quality and heterogeneous catalysis to train the neural network , the training is carried out in stages as the heterogeneous catalytic wastewater treatment process is completed. Each stage is completed as a sub-model of a wastewater treatment process stage, and a series of models of the relationship between water quality and heterogeneous catalysis in the wastewater treatment process are formed to obtain the heterogeneous catalytic relationship in wastewater treatment. Model; According to the wastewater treatment heterogeneous catalytic relationship model, in the heterogeneous catalytic wastewater treatment process, the water quality of the next wastewater treatment process stage of the heterogeneous catalytic wastewater treatment is predicted, and the water quality of each wastewater treatment process stage of the heterogeneous catalytic wastewater treatment is predicted in turn, Intelligent prediction determines the final water quality of multi-phase catalytic wastewater treatment, adjusts the multi-phase catalytic wastewater treatment process, carries out real-time monitoring of the intelligent determination of water quality in the wastewater treatment process, and multi-stage intelligent prediction real-time cycle accurate monitoring; the present invention has obvious technology in the wastewater treatment process Advantages: It can handle many types of pollutants in wastewater, and its processing capacity for refractory organic pollutants has been greatly improved. It can remove suspended and colloidal pollutants in water, can comprehensively remove refractory organic pollutants, and has the ability to detect toxic and harmful chemical components. Effectively improved, the utilization efficiency of the catalyst has been significantly improved; the accuracy of heterogeneous catalytic parameter monitoring of wastewater treatment has been significantly improved, and the in-situ generation process of multiphase catalytic nanoparticles modified on the surface of the separation membrane can be accurately detected, which is useful for water quality monitoring in the heterogeneous catalytic wastewater treatment process. The real-time nature of the problem has been solved, and the comprehensive analysis of the relationship between the water quality data of the multiphase catalytic wastewater treatment process and the in-situ generation process parameters of the separation membrane multiphase catalytic nanoparticles has been significantly improved, enabling the wastewater treatment process to achieve innovative intelligent data processing, and the data is more accurate. Clear, accurate, future large-scale versatility, can be replicated for large-scale applications.

In one embodiment, the nanoparticle heterogeneous catalytic detection subsystem includes:

The separation membrane detection subsystem is used to detect the basic parameters of the basic separation membrane and obtain the basic detection parameters of the separation membrane;

The modification process detection subsystem is used to perform surface modification on the basic separation membrane based on the basic detection parameters of the separation membrane and detect the surface modification parameters of the separation membrane;

The in-situ generation and detection subsystem of nanoparticles is used to generate in-situ heterogeneous catalytic nanoparticles based on the surface modification parameters of the separation membrane, and detect the in-situ generation process parameters of the surface-modified heterogeneous catalytic nanoparticles of the separation membrane to obtain the multi-phase properties of the separation membrane. Process parameters for in situ generation of catalytic nanoparticles.

The principle and effect of the above technical solution are: detect the basic parameters of the basic separation membrane and obtain the basic detection parameters of the separation membrane; the basic parameters of the separation membrane include: permeability permeability rate parameters and separation characterization parameters; the separation characterization parameters include: separation rejection rate Characterization parameters, ultrafiltration rejection rate characterization parameters, gas separation coefficient characterization parameters; separation membrane basic detection parameters include: permeability permeability detection parameters and separation detection parameters; separation detection parameters include: separation rejection rate detection parameters, ultrafiltration Rejection rate detection parameters and gas separation coefficient detection parameters; according to the basic detection parameters of the separation membrane, surface modification is performed on the basic separation membrane, and the surface modification parameters of the separation membrane are detected; surface modification of the basic separation membrane includes: at the first set concentration and the second Soaking the basic separation membrane in a buffer solution with a hydrogen ion concentration index; catalytically modifying the first preset time through the first oxidant group; forming a polymerization layer on the surface of the basic separation membrane to obtain the surface polymerization layer of the basic separation membrane; setting the first setting Concentration and the first hydrogen ion concentration index, detect the first set concentration and the first hydrogen ion concentration index parameters in real time; select the first oxidant group and the first preset time, and detect the components of the first oxidant group and the first preset time; Detect the thickness of the surface polymerization layer and detect the surface modification parameters of the separation membrane;

According to the surface modification parameters of the separation membrane, perform in-situ generation of multi-phase catalytic nanoparticles, soak the basic separation membrane of the surface polymerization layer in a second set concentration metal salt solution; use a second reducing agent to modify the second preset time for in-situ generation Nanoparticles; perform in-situ generation of separation membrane surface-modified heterogeneous catalytic nanoparticles; and detect the in-situ generation process parameters of separation membrane surface-modified heterogeneous catalytic nanoparticles to obtain the in-situ generation process parameters of separation membrane multi-phase catalytic nanoparticles; set the Two set concentration metal salt solution concentrations, real-time detection of the second set concentration metal salt solution concentration; select the second reducing agent and the second preset time, real-time detection of the second reducing agent concentration and the second preset time; wastewater treatment The accuracy of heterogeneous catalytic parameter monitoring has been significantly improved, and the in-situ generation process of heterogeneous catalytic nanoparticles modified on the surface of the separation membrane can be accurately detected.

In one embodiment, the heterogeneous catalytic wastewater treatment detection subsystem includes:

The separation membrane heterogeneous catalytic sampling subsystem is used to sample a small amount of the separation membrane heterogeneous catalytic nanoparticles in real time during the wastewater treatment process, and automatically adds a preset proportion of distilled water to dilute and mix according to the sampling amount, and quantitatively pipettes the liquid into the mixture to be detected. Suspension container to obtain a quantitative suspension sample to be tested;

The suspension sample classification subsystem is used to classify the quantitative suspension samples to be tested based on the wastewater empirical model to obtain the suspension sample classification to be tested;

The wastewater treatment process water quality detection subsystem is used to conduct water quality detection on quantitative suspension samples to be detected based on the classification of the suspension samples to be detected, detect the water quality of the multiphase catalytic wastewater treatment process, and obtain water quality data of the multiphase catalytic wastewater treatment process. .

The principle and effect of the above technical solution are: sampling, typing and process water quality testing of the multiphase catalytic wastewater treatment process; setting the sampling volume, through the separation membrane multiphase catalytic sampler, during the wastewater treatment process, according to the sampling volume The separation membrane multi-phase catalytic nanoparticles are sampled in real time, and distilled water is automatically added quantitatively. According to the sampling volume, a preset ratio of distilled water is automatically added for dilution and mixing. Through an automatic pipette, the liquid is quantitatively transferred to the suspension container to be detected, and the quantitative quantity to be detected is obtained. Suspension samples; use historical wastewater experimental data to conduct empirical prediction and classification of suspensions, and establish a wastewater experience model; based on the wastewater experience model, classify quantitative suspension samples to be detected to obtain the mixture to be detected Classification of suspension samples; according to the classification of suspension samples to be tested, water quality testing is performed on quantitative suspension samples to be tested, the water quality of the multi-phase catalytic wastewater treatment process is detected, and the water quality data of the multi-phase catalytic wastewater treatment process is obtained; for multi-phase Real-time monitoring of water quality in the catalytic wastewater treatment process is solved.

In one embodiment, the detection data analysis subsystem includes:

The process water quality reference standard subsystem is used to calculate the water quality reference standard of the wastewater treatment process through historical wastewater treatment data and obtain the water quality reference standard data of the wastewater treatment process;

The processing catalytic data training subsystem is used to use the reference standard data of water quality in the wastewater treatment process, the parameter data of the in-situ generation process of the separation membrane multi-phase catalytic nanoparticles as input, and the water quality data of the multi-phase catalytic wastewater treatment process as the output. The phase catalysis relationship data is trained through neural network to obtain the neural network training results of wastewater treatment multi-phase catalysis relationship data;

The wastewater treatment heterogeneous catalysis model subsystem is used to analyze the wastewater treatment heterogeneous catalysis relationship data neural network training results until the wastewater treatment heterogeneous catalysis relationship data neural network training results stabilize at the setting reference comparison of the wastewater treatment process water quality reference standard data. Scope, obtain the heterogeneous catalytic relationship model for wastewater treatment.

The principle and effect of the above technical solution are: use data to count the water quality of the historical wastewater treatment process, select the optimal data of the water quality of the wastewater treatment process and the allowable difference range of the water quality of the wastewater treatment process, count the water quality reference standards of the wastewater treatment process, and obtain the water quality reference standards of the wastewater treatment process. Data; According to the water quality reference standard data of the wastewater treatment process, the parameter data of the in-situ generation process of the separation membrane multi-phase catalytic nanoparticles is used as input, the water quality data of the multi-phase catalytic waste water treatment process is used as the output, and the multi-phase catalytic relationship data of the waste water treatment is passed through the neural network Conduct data training to obtain the neural network training results of wastewater treatment multiphase catalytic relationship data; analyze the wastewater treatment multiphase catalytic relationship data neural network training results until the wastewater treatment multiphase catalytic relationship data neural network training results stabilize within the wastewater treatment process water quality reference standard The data is set with reference to the comparison range to obtain the heterogeneous catalytic relationship model for wastewater treatment; the comprehensive analysis of the relationship between the water quality data of the heterogeneous catalytic wastewater treatment process and the in-situ generation process parameters of the separation membrane multiphase catalytic nanoparticles is significantly improved.

In one embodiment, the intelligent decision real-time monitoring subsystem includes:

The final water quality result prediction subsystem is used to predict the final water quality result of wastewater treatment based on the multiphase catalytic relationship model of wastewater treatment, and obtain the final water quality prediction information of wastewater treatment;

The final water quality prediction and determination subsystem is used to determine whether the final water quality prediction of wastewater treatment meets the final water quality standard of wastewater treatment based on the final water quality prediction information of wastewater treatment, and obtain the final water quality prediction and determination result of wastewater treatment;

The intelligent determination real-time monitoring subsystem is used to adjust the multi-phase catalytic wastewater treatment process based on the final water quality prediction and determination results of wastewater treatment, and perform real-time monitoring of the intelligent determination of water quality in the wastewater treatment process.

The principle and effect of the above technical solution are: use the model to predict the final water quality results of wastewater treatment based on the multiphase catalytic relationship model of wastewater treatment, and obtain the final water quality prediction information of wastewater treatment; preset the final water quality standard of wastewater treatment, and compare and determine whether the final water quality prediction of wastewater treatment is Comply with the final water quality standard of wastewater treatment, and obtain the final water quality prediction and determination result of wastewater treatment; the final water quality standard of wastewater treatment is preset through the model parameters; according to the final water quality prediction and determination result of wastewater treatment, when the final water quality prediction and determination result of wastewater treatment is the final water quality of wastewater treatment When the prediction does not meet the final water quality standards for wastewater treatment, the multi-phase catalytic wastewater treatment process is reversed and adjusted in advance, and the final water quality prediction information of wastewater treatment is corrected until the final water quality prediction of wastewater treatment meets the final water quality standards for wastewater treatment, and water quality intelligence of the wastewater treatment process is carried out. Determine real-time monitoring; enable innovative intelligent data processing in the wastewater treatment process, making the data clearer, more accurate, and more versatile in the future.

The invention provides a heterogeneous catalytic wastewater treatment monitoring method, which includes:

S100, detect the in-situ generation process of the separation membrane surface-modified heterogeneous catalytic nanoparticles, and obtain the in-situ generation process parameters of the separation membrane multi-phase catalytic nanoparticles;

S200, based on the in-situ generation process parameters of multi-phase catalytic nanoparticles of the separation membrane, detects the water quality of the multi-phase catalytic wastewater treatment process in real time, and obtains the water quality data of the multi-phase catalytic waste water treatment process;

S300, analyze the relationship between the water quality data of the heterogeneous catalytic wastewater treatment process and the in-situ generation process parameters of the separation membrane heterogeneous catalytic nanoparticles, and use the relationship between wastewater treatment water quality and heterogeneous catalysis to train the neural network to obtain the multiphase wastewater treatment Catalytic relationship model;

S400, based on the multiphase catalytic relationship model of wastewater treatment, intelligently predicts and determines the final water quality of multiphase catalytic wastewater treatment, adjusts the multiphase catalytic wastewater treatment process, and performs real-time monitoring of the intelligent determination of water quality in the wastewater treatment process.

The principle and effect of the above technical solution are: the present invention provides a heterogeneous catalytic wastewater treatment monitoring method, which detects the in-situ generation process of the separation membrane surface-modified heterogeneous catalytic nanoparticles, and obtains the in-situ generation of the separation membrane multi-phase catalytic nanoparticles. Process parameters; soak the basic separation membrane in the buffer solution with the first set concentration and the first hydrogen ion concentration index, detect the first set concentration and the first hydrogen ion concentration index parameters; catalytically modify the first set concentration through the first oxidant group Preset time, detect the first oxidant composition and the first preset time; form a polymerization layer on the surface of the basic separation membrane, obtain the surface polymerization layer basic separation membrane, detect the surface polymerization layer thickness; soak the surface polymerization layer basic separation membrane in the third In two set concentration metal salt solutions, detect the concentration of the second set concentration metal salt solution; use the second reducing agent to modify the second preset time to generate nanoparticles in situ, and detect the second reducing agent concentration and the second preset time; Cycle the above steps to perform in-situ generation of separation membrane surface-modified heterogeneous catalytic nanoparticles, detect the in-situ generation process of separation membrane surface-modified heterogeneous catalytic nanoparticles, and obtain the parameters of the in-situ generation process of separation membrane heterogeneous catalytic nanoparticles; through heterogeneous catalysis During the wastewater treatment process, the water quality of the heterogeneous catalytic wastewater treatment process is detected in real time to obtain the water quality data of the heterogeneous catalytic wastewater treatment process; the water quality data of the heterogeneous catalytic wastewater treatment process is used as the first analysis parameter, and the separation membrane is used to generate in-situ multiphase catalytic nanoparticles. The process parameters are used as the second analysis parameters to analyze the relationship between the water quality data of the heterogeneous catalytic wastewater treatment process and the in-situ generation process parameters of the separation membrane multiphase catalytic nanoparticles, and use the relationship between wastewater treatment water quality and heterogeneous catalysis to train the neural network , the training is carried out in stages as the heterogeneous catalytic wastewater treatment process is completed. Each stage is completed as a sub-model of a wastewater treatment process stage, and a series of models of the relationship between water quality and heterogeneous catalysis in the wastewater treatment process are formed to obtain the heterogeneous catalytic relationship in wastewater treatment. Model; According to the wastewater treatment heterogeneous catalytic relationship model, in the heterogeneous catalytic wastewater treatment process, the water quality of the next wastewater treatment process stage of the heterogeneous catalytic wastewater treatment is predicted, and the water quality of each wastewater treatment process stage of the heterogeneous catalytic wastewater treatment is predicted in turn, Intelligent prediction determines the final water quality of multi-phase catalytic wastewater treatment, adjusts the multi-phase catalytic wastewater treatment process, performs real-time monitoring of the intelligent determination of water quality in the wastewater treatment process, and multi-stage intelligent prediction real-time cycle accurate monitoring; the present invention has obvious technology in the wastewater treatment process Advantages: It can handle many types of pollutants in wastewater, and its processing capacity for refractory organic pollutants is greatly improved. It can remove suspended and colloidal pollutants in water, it can comprehensively remove refractory organic pollutants, and it has the ability to detect toxic and harmful chemical components. Effectively improved, the utilization efficiency of the catalyst has been significantly improved; the accuracy of heterogeneous catalytic parameter monitoring of wastewater treatment has been significantly improved, and the in-situ generation process of multiphase catalytic nanoparticles modified on the surface of the separation membrane can be accurately detected, which is useful for water quality monitoring in the heterogeneous catalytic wastewater treatment process. The real-time nature of the problem has been solved, and the comprehensive analysis of the relationship between the water quality data of the multiphase catalytic wastewater treatment process and the in-situ generation process parameters of the separation membrane multiphase catalytic nanoparticles has been significantly improved, enabling innovative intelligent data processing in the wastewater treatment process, and the data is more accurate. Clear, accurate, future large-scale versatility, can be replicated for large-scale applications.

In one embodiment, S100 includes:

S101, detect the basic parameters of the basic separation membrane and obtain the basic detection parameters of the separation membrane;

S102, perform surface modification on the basic separation membrane according to the basic detection parameters of the separation membrane, and detect the surface modification parameters of the separation membrane;

S103, perform in-situ generation of heterogeneous catalytic nanoparticles based on the separation membrane surface modification parameters, and detect the in-situ generation process parameters of the separation membrane surface-modified heterogeneous catalytic nanoparticles to obtain the in-situ generation process parameters of the separation membrane multi-phase catalytic nanoparticles.

The principle and effect of the above technical solution are: detect the basic parameters of the basic separation membrane and obtain the basic detection parameters of the separation membrane; the basic parameters of the separation membrane include: permeability permeability rate parameters and separation characterization parameters; the separation characterization parameters include: separation rejection rate Characterization parameters, ultrafiltration rejection rate characterization parameters, gas separation coefficient characterization parameters; separation membrane basic detection parameters include: permeability permeability detection parameters and separation detection parameters; separation detection parameters include: separation rejection rate detection parameters, ultrafiltration Rejection rate detection parameters and gas separation coefficient detection parameters; according to the basic detection parameters of the separation membrane, surface modification is performed on the basic separation membrane, and the surface modification parameters of the separation membrane are detected; surface modification of the basic separation membrane includes: at the first set concentration and the second Soaking the basic separation membrane in a buffer solution with a hydrogen ion concentration index; catalytically modifying the first preset time through the first oxidant group; forming a polymerization layer on the surface of the basic separation membrane to obtain the surface polymerization layer of the basic separation membrane; setting the first setting Concentration and the first hydrogen ion concentration index, detect the first set concentration and the first hydrogen ion concentration index parameters in real time; select the first oxidant group and the first preset time, and detect the components of the first oxidant group and the first preset time; Detect the thickness of the surface polymerization layer and detect the surface modification parameters of the separation membrane;

According to the surface modification parameters of the separation membrane, perform in-situ generation of multi-phase catalytic nanoparticles, soak the basic separation membrane of the surface polymerization layer in a second set concentration metal salt solution; use a second reducing agent to modify the second preset time for in-situ generation Nanoparticles; perform in-situ generation of separation membrane surface-modified heterogeneous catalytic nanoparticles; and detect the in-situ generation process parameters of separation membrane surface-modified heterogeneous catalytic nanoparticles to obtain the in-situ generation process parameters of separation membrane multi-phase catalytic nanoparticles; set the Two set concentration metal salt solution concentrations, real-time detection of the second set concentration metal salt solution concentration; select the second reducing agent and the second preset time, real-time detection of the second reducing agent concentration and the second preset time; wastewater treatment The accuracy of heterogeneous catalytic parameter monitoring has been significantly improved, and the in-situ generation process of heterogeneous catalytic nanoparticles modified on the surface of the separation membrane can be accurately detected.

In one embodiment, S200 includes:

S201, during the wastewater treatment process, a small amount of heterogeneous catalytic nanoparticles on the separation membrane are sampled in real time, and a preset proportion of distilled water is added to dilute and mix automatically according to the sampling amount, and the liquid is quantitatively transferred to the suspension container to be detected to obtain a quantitative suspension to be detected. liquid sample;

S202. According to the wastewater empirical model, classify the quantitative suspension sample to be detected to obtain the classification of the suspension sample to be detected;

S203. According to the classification of the suspension sample to be detected, perform water quality testing on the quantitative suspension sample to be detected, detect the water quality of the multi-phase catalytic wastewater treatment process, and obtain the water quality data of the multi-phase catalytic wastewater treatment process.

The principle and effect of the above technical solution are: sampling, typing and process water quality testing of the multiphase catalytic wastewater treatment process; setting the sampling volume, through the separation membrane multiphase catalytic sampler, during the wastewater treatment process, according to the sampling volume The separation membrane multi-phase catalytic nanoparticles are sampled in real time, and distilled water is automatically added quantitatively. According to the sampling volume, a preset ratio of distilled water is automatically added for dilution and mixing. Through an automatic pipette, the liquid is quantitatively transferred to the suspension container to be detected, and the quantitative quantity to be detected is obtained. Suspension samples; use historical wastewater experimental data to conduct empirical prediction and classification of suspensions, and establish a wastewater experience model; based on the wastewater experience model, classify quantitative suspension samples to be detected to obtain the mixture to be detected Classification of suspension samples; according to the classification of suspension samples to be tested, water quality testing is performed on quantitative suspension samples to be tested, the water quality of the multi-phase catalytic wastewater treatment process is detected, and the water quality data of the multi-phase catalytic wastewater treatment process is obtained; for multi-phase Real-time monitoring of water quality in the catalytic wastewater treatment process is solved.

In one embodiment, S300 includes:

S301, calculate the water quality reference standard of the wastewater treatment process through historical wastewater treatment data, and obtain the water quality reference standard data of the wastewater treatment process;

S302, according to the water quality reference standard data of the wastewater treatment process, the parameter data of the in-situ generation process of the separation membrane multi-phase catalytic nanoparticles is used as input, the water quality data of the multi-phase catalytic waste water treatment process is used as the output, and the multi-phase catalytic relationship data of the waste water treatment is passed through the neural network Conduct data training to obtain the neural network training results of wastewater treatment heterogeneous catalysis relationship data;

S303, analyze the neural network training results of the wastewater treatment multiphase catalytic relationship data until the wastewater treatment multiphase catalytic relationship data neural network training results stabilize within the set reference comparison range of the wastewater treatment process water quality reference standard data, and obtain the wastewater treatment multiphase catalytic relationship. Model.

The principle and effect of the above technical solution are: use data to count the water quality of the historical wastewater treatment process, select the optimal data of the water quality of the wastewater treatment process and the allowable difference range of the water quality of the wastewater treatment process, count the water quality reference standards of the wastewater treatment process, and obtain the water quality reference standards of the wastewater treatment process. Data; According to the water quality reference standard data of the wastewater treatment process, the parameter data of the in-situ generation process of the separation membrane multi-phase catalytic nanoparticles is used as input, the water quality data of the multi-phase catalytic waste water treatment process is used as the output, and the multi-phase catalytic relationship data of the waste water treatment is passed through the neural network Conduct data training to obtain the neural network training results of wastewater treatment multiphase catalytic relationship data; analyze the wastewater treatment multiphase catalytic relationship data neural network training results until the wastewater treatment multiphase catalytic relationship data neural network training results stabilize within the wastewater treatment process water quality reference standard The data is set with reference to the comparison range to obtain the heterogeneous catalytic relationship model for wastewater treatment; the comprehensive analysis of the relationship between the water quality data of the heterogeneous catalytic wastewater treatment process and the in-situ generation process parameters of the separation membrane multiphase catalytic nanoparticles is significantly improved.

In one embodiment, S400 includes:

S401, predict the final water quality results of wastewater treatment based on the multiphase catalytic relationship model of wastewater treatment, and obtain the final water quality prediction information of wastewater treatment;

S402, based on the final water quality prediction information of wastewater treatment, determine whether the final water quality prediction of wastewater treatment meets the final water quality standard of wastewater treatment, and obtain the final water quality prediction judgment result of wastewater treatment;

S403: Adjust the multiphase catalytic wastewater treatment process according to the final water quality prediction and determination results of wastewater treatment, and perform real-time monitoring of the intelligent water quality determination of the wastewater treatment process.

The principle and effect of the above technical solution are: use the model to predict the final water quality results of wastewater treatment based on the multiphase catalytic relationship model of wastewater treatment, and obtain the final water quality prediction information of wastewater treatment; preset the final water quality standard of wastewater treatment, and compare and determine whether the final water quality prediction of wastewater treatment is Comply with the final water quality standard of wastewater treatment, and obtain the final water quality prediction and determination result of wastewater treatment; the final water quality standard of wastewater treatment is preset through the model parameters; according to the final water quality prediction and determination result of wastewater treatment, when the final water quality prediction and determination result of wastewater treatment is the final water quality of wastewater treatment When the prediction does not meet the final water quality standards for wastewater treatment, the multi-phase catalytic wastewater treatment process is reversed and adjusted in advance, and the final water quality prediction information of wastewater treatment is corrected until the final water quality prediction of wastewater treatment meets the final water quality standards for wastewater treatment, and water quality intelligence of the wastewater treatment process is carried out. Determine real-time monitoring; enable innovative intelligent data processing in the wastewater treatment process, making the data clearer, more accurate, and more versatile in the future.

Although the embodiments of the present invention have been disclosed above, they are not limited to the applications listed in the description and embodiments. They can be applied to various fields suitable for the present invention. For those familiar with the art, they can easily Additional modifications may be made, and the invention is therefore not limited to the specific details and illustrations shown and described herein without departing from the general concept defined by the claims and equivalent scope.

Claims (8)

1. A heterogeneous catalytic wastewater treatment monitoring system, characterized by including: Nanoparticle heterogeneous catalytic detection subsystem is used to detect the in-situ generation process of separation membrane surface-modified heterogeneous catalytic nanoparticles and obtain the in-situ generation process parameters of separation membrane heterogeneous catalytic nanoparticles; The multiphase catalytic wastewater treatment detection subsystem is used to detect the water quality of the multiphase catalytic wastewater treatment process in real time based on the in-situ generation process parameters of the separation membrane multiphase catalytic nanoparticles, and obtain the water quality data of the multiphase catalytic wastewater treatment process; The detection data analysis subsystem is used to analyze the relationship between the water quality data of the heterogeneous catalytic wastewater treatment process and the in-situ generation process parameters of the separation membrane heterogeneous catalytic nanoparticles, and use the relationship between wastewater treatment water quality and heterogeneous catalysis to train the neural network , obtain the heterogeneous catalytic relationship model for wastewater treatment; The intelligent judgment and real-time monitoring subsystem is used to intelligently predict and judge the final water quality of multiphase catalytic wastewater treatment based on the multiphase catalytic relationship model of wastewater treatment, adjust the multiphase catalytic wastewater treatment process, and perform intelligent judgment and real-time monitoring of water quality in the wastewater treatment process; The detection data analysis subsystem includes: The process water quality reference standard subsystem is used to calculate the water quality reference standard of the wastewater treatment process through historical wastewater treatment data and obtain the water quality reference standard data of the wastewater treatment process; The processing catalytic data training subsystem is used to use the reference standard data of water quality in the wastewater treatment process, the parameter data of the in-situ generation process of the separation membrane multi-phase catalytic nanoparticles as input, and the water quality data of the multi-phase catalytic wastewater treatment process as the output. The phase catalysis relationship data is trained through neural network to obtain the neural network training results of wastewater treatment multi-phase catalysis relationship data; The wastewater treatment heterogeneous catalysis model subsystem is used to analyze the wastewater treatment heterogeneous catalysis relationship data neural network training results until the wastewater treatment heterogeneous catalysis relationship data neural network training results stabilize at the setting reference comparison of the wastewater treatment process water quality reference standard data. Scope, obtain the heterogeneous catalytic relationship model for wastewater treatment. 2. A heterogeneous catalytic wastewater treatment monitoring system according to claim 1, characterized in that the nanoparticle heterogeneous catalytic detection subsystem includes: The separation membrane detection subsystem is used to detect the basic parameters of the basic separation membrane and obtain the basic detection parameters of the separation membrane; The modification process detection subsystem is used to perform surface modification on the basic separation membrane based on the basic detection parameters of the separation membrane and detect the surface modification parameters of the separation membrane; The in-situ generation and detection subsystem of nanoparticles is used to generate in-situ heterogeneous catalytic nanoparticles based on the surface modification parameters of the separation membrane, and detect the in-situ generation process parameters of the surface-modified heterogeneous catalytic nanoparticles of the separation membrane to obtain the multi-phase properties of the separation membrane. Process parameters for in situ generation of catalytic nanoparticles. 3. A heterogeneous catalytic wastewater treatment monitoring system according to claim 1, characterized in that the heterogeneous catalytic wastewater treatment detection subsystem includes: The separation membrane heterogeneous catalytic sampling subsystem is used to sample a small amount of the separation membrane heterogeneous catalytic nanoparticles in real time during the wastewater treatment process, and automatically adds a preset proportion of distilled water to dilute and mix according to the sampling amount, and quantitatively pipettes the liquid into the mixture to be detected. Suspension container to obtain a quantitative suspension sample to be tested; The suspension sample classification subsystem is used to classify the quantitative suspension samples to be tested based on the wastewater empirical model to obtain the suspension sample classification to be tested; The wastewater treatment process water quality detection subsystem is used to conduct water quality detection on quantitative suspension samples to be detected based on the classification of the suspension samples to be detected, detect the water quality of the multiphase catalytic wastewater treatment process, and obtain water quality data of the multiphase catalytic wastewater treatment process. . 4. A heterogeneous catalytic wastewater treatment monitoring system according to claim 1, characterized in that the intelligent judgment real-time monitoring subsystem includes: The final water quality result prediction subsystem is used to predict the final water quality result of wastewater treatment based on the multiphase catalytic relationship model of wastewater treatment, and obtain the final water quality prediction information of wastewater treatment; The final water quality prediction and determination subsystem is used to determine whether the final water quality prediction of wastewater treatment meets the final water quality standard of wastewater treatment based on the final water quality prediction information of wastewater treatment, and obtain the final water quality prediction and determination result of wastewater treatment; The intelligent determination real-time monitoring subsystem is used to adjust the multi-phase catalytic wastewater treatment process based on the final water quality prediction and determination results of wastewater treatment, and perform real-time monitoring of the intelligent determination of water quality in the wastewater treatment process. 5. A heterogeneous catalytic wastewater treatment monitoring method, characterized by including: S100, detect the in-situ generation process of the separation membrane surface-modified heterogeneous catalytic nanoparticles, and obtain the in-situ generation process parameters of the separation membrane multi-phase catalytic nanoparticles; S200, based on the in-situ generation process parameters of multi-phase catalytic nanoparticles of the separation membrane, detects the water quality of the multi-phase catalytic wastewater treatment process in real time, and obtains the water quality data of the multi-phase catalytic waste water treatment process; S300, analyze the relationship between the water quality data of the heterogeneous catalytic wastewater treatment process and the in-situ generation process parameters of the separation membrane heterogeneous catalytic nanoparticles, and use the relationship between wastewater treatment water quality and heterogeneous catalysis to train the neural network to obtain the multiphase wastewater treatment Catalytic relationship model; S400, based on the multiphase catalytic relationship model of wastewater treatment, intelligently predicts and determines the final water quality of multiphase catalytic wastewater treatment, adjusts the multiphase catalytic wastewater treatment process, and performs real-time monitoring of the intelligent determination of water quality in the wastewater treatment process; S300 includes: S301, calculate the water quality reference standard of the wastewater treatment process through historical wastewater treatment data, and obtain the water quality reference standard data of the wastewater treatment process; S302, according to the water quality reference standard data of the wastewater treatment process, the parameter data of the in-situ generation process of the separation membrane multi-phase catalytic nanoparticles is used as input, the water quality data of the multi-phase catalytic waste water treatment process is used as the output, and the multi-phase catalytic relationship data of the waste water treatment is passed through the neural network Conduct data training to obtain the neural network training results of wastewater treatment heterogeneous catalysis relationship data; S303, analyze the neural network training results of the wastewater treatment multiphase catalytic relationship data until the wastewater treatment multiphase catalytic relationship data neural network training results stabilize within the set reference comparison range of the wastewater treatment process water quality reference standard data, and obtain the wastewater treatment multiphase catalytic relationship. Model. 6. A heterogeneous catalytic wastewater treatment monitoring method according to claim 5, characterized in that S100 includes: S101, detect the basic parameters of the basic separation membrane and obtain the basic detection parameters of the separation membrane; S102, perform surface modification on the basic separation membrane according to the basic detection parameters of the separation membrane, and detect the surface modification parameters of the separation membrane; S103, perform in-situ generation of heterogeneous catalytic nanoparticles based on the separation membrane surface modification parameters, and detect the in-situ generation process parameters of the separation membrane surface-modified heterogeneous catalytic nanoparticles to obtain the in-situ generation process parameters of the separation membrane multi-phase catalytic nanoparticles. 7. A heterogeneous catalytic wastewater treatment monitoring method according to claim 5, characterized in that S200 includes: S201, during the wastewater treatment process, a small amount of heterogeneous catalytic nanoparticles on the separation membrane are sampled in real time, and a preset proportion of distilled water is added to dilute and mix automatically according to the sampling amount, and the liquid is quantitatively transferred to the suspension container to be detected to obtain a quantitative suspension to be detected. liquid sample; S202. According to the wastewater empirical model, classify the quantitative suspension sample to be detected to obtain the classification of the suspension sample to be detected; S203. According to the classification of the suspension sample to be detected, perform water quality testing on the quantitative suspension sample to be detected, detect the water quality of the multi-phase catalytic wastewater treatment process, and obtain the water quality data of the multi-phase catalytic wastewater treatment process. 8. A heterogeneous catalytic wastewater treatment monitoring method according to claim 5, characterized in that S400 includes: S401, predict the final water quality results of wastewater treatment based on the multiphase catalytic relationship model of wastewater treatment, and obtain the final water quality prediction information of wastewater treatment; S402, based on the final water quality prediction information of wastewater treatment, determine whether the final water quality prediction of wastewater treatment meets the final water quality standard of wastewater treatment, and obtain the final water quality prediction judgment result of wastewater treatment; S403: Adjust the multiphase catalytic wastewater treatment process according to the final water quality prediction and determination results of wastewater treatment, and perform real-time monitoring of the intelligent water quality determination of the wastewater treatment process.