CN119539748A - An intelligent inspection method and device for online chemical instruments - Google Patents
An intelligent inspection method and device for online chemical instruments Download PDFInfo
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Abstract
The invention relates to an intelligent inspection method for an online chemical instrument, which comprises the steps of combining an intelligent online chemical instrument inspection device with a static structure with an inspection service delivery dynamic process taking a flow as a main line, determining an inspection service model aiming at personalized requirements of online chemical instrument customers, wherein the inspection service model is used for carrying out flow modeling on the intelligent inspection service, determining a specific inspection service with personalized requirements, adding description of information transmission and complex logic relation between service processes, carrying out the specific inspection service, developing and applying a hierarchical timed coloring Petri network based on the fact that the intelligent inspection of the current online chemical instrument is a specific inspection service in the specific inspection service, modeling and optimizing one or more response characteristics of the inspection service, and implementing the specific inspection service based on the inspection service response characteristics.
Description
Technical Field
The invention relates to the technical field of intelligent inspection maintenance of instruments and meters, in particular to an intelligent inspection method and device for an online chemical meter.
Background
In recent years, the power industry is continuously promoted and new, the capacity of a generator set is continuously improved, the operation index requirement of the generator set is higher and higher, an online chemical instrument is used as an important product for monitoring the water quality of a power plant, plays a role in preventing corrosion, salt accumulation and scaling of thermal equipment, and has an indispensable position in the power plant. However, how to ensure the accuracy of the online chemical meter so as to guide the production to make the generator set operate safely and economically has been a problem continuously discussed in the industry, especially the problem of hot spot in dynamic inspection and random problem judgment highly related to the intelligent level of the online chemical meter. In addition, the daily maintenance has very high requirements on personnel quality, skill level and labor cost, so that more urgent requirements are put forward for discarding the manual inspection mode and improving the intelligence of the online chemical instrument.
Therefore, an intelligent inspection device and method for an online chemical instrument are needed, and the problems of high labor cost, inaccurate and untimely fault judgment, unskilled and in-place maintenance processing mode and low inspection qualification rate of the online chemical instrument are solved.
Disclosure of Invention
The invention aims to provide an intelligent inspection method and device for an online chemical instrument, which are used for providing intelligent online chemical instrument inspection. Firstly, combining an intelligent online chemical instrument inspection device with a static structure with an inspection service delivery dynamic process taking a flow as a main line, providing an inspection service model aiming at personalized requirements of online chemical instrument customers, wherein the inspection service model is used for carrying out flow modeling on the intelligent inspection service, secondly, aiming at specific inspection service, carding the service process, carrying out specific inspection service based on the description after information transfer and complex logic relation between the service processes are described, thirdly, aiming at specific one specific inspection service, developing and applying hierarchical timed coloring Petri network, modeling and optimizing the inspection service response characteristic, and implementing the specific inspection service to be implemented based on the modeling and optimized inspection service response characteristic, thereby improving the quality and efficiency of the inspection service. The intelligent product service system is a static structure, however, delivery of the inspection service is a dynamic process taking the process as a main line, theory and method of modeling the service process are improved from the view point of the dynamic structure of the service, and the intelligent inspection process is improved respectively according to different granularities of modeling the service process, and different ecological characteristics of three layers of service activities at a microscopic level, service processes at a mesoscopic level and service packages at a macroscopic level.
The first aspect of the invention provides an intelligent inspection method for an online chemical instrument, comprising the following steps:
S1, combining an intelligent online chemical instrument inspection device with a static structure with an inspection service delivery dynamic process taking a flow as a main line, and determining an inspection service model aiming at personalized requirements of online chemical instrument customers, wherein the inspection service model is used for carrying out flow modeling on intelligent inspection service;
S2, determining a specific type of inspection service with personalized requirements, adding description of information transfer and complex logic relationship between service processes based on analysis of service processes of the specific inspection service, and performing the specific inspection service based on the description;
S3, developing an application layering timing coloring Petri network based on determining that intelligent inspection of the current online chemical instrument is a specific one of the specific inspection services, modeling and optimizing one or more response characteristics of the inspection service based on the application layering timing coloring Petri network, and implementing the specific one of the specific inspection services based on the one or more inspection service response characteristics after modeling and optimizing.
Preferably, the S1 includes:
s11, dividing a patrol service package based on personalized requirements for clients and a patrol service blueprint method;
S12, service plates are added among the divided service packets, and the service plates are internally provided with cross overlapping and serial-parallel connection relations among the connected service packets, so that the completeness of intelligent product service plate planning is improved.
Preferably, the S2 includes:
s21, determining a specific type of inspection service with personalized requirements;
S22, describing the process of the inspection service by using a BPMN graph based on analysis of the service process of the specific inspection service, and adding description of information transfer and complex logic relationship between the service processes so as to form an intelligent inspection process graphical model;
s23, carrying out the specific inspection service based on the intelligent inspection process graphical model.
Preferably, the S3 includes:
s31, establishing an application layering timed coloring Petri network based on determining that intelligent inspection of a current online chemical instrument is a specific inspection service in the specific inspection service;
S32, determining resource optimization configuration and scheduling based on the overall operation of the intelligent inspection process and the utilization rate condition of the guaranteed resources, so as to model and optimize one or more response characteristics of the inspection service;
And S33, implementing the specific one specific inspection service based on the one or more inspection service response characteristics after modeling and optimization.
Preferably, the step S11 includes:
(1) The method comprises the steps of taking a patrol service activity and user behavior as main lines, determining a patrol service supporting system for supporting the patrol service activity, wherein the patrol service supporting system divides basic elements of a patrol service package into dominant patrol service, recessive patrol service, support of a patrol process and support of patrol resources;
(2) Three lines, namely an inspection user interaction boundary, a foreground and background interaction visual boundary and an internal interaction boundary, are arranged, and divide the inspection service package into four areas through the three lines, wherein the four areas comprise a user activity domain corresponding to user demands and behaviors, a foreground service domain for providing explicit services, a background service domain for providing implicit services and a supporting process domain for supporting activities and supporting resources, so that different element layers of the inspection service package are expressed;
(3) Based on a longitudinal line of user behaviors, the intelligent product service packages are divided, and interaction and integration of multiple layers can be carried out among different service packages due to the association of elements, sharing of resources and succession of multiple related activities of inspection.
Preferably, the S22 includes:
(1) Providing standardized graphical marking elements for a service process based on a BPMN graph according to a BPMN2.0 standard system so as to form an intelligent inspection process graphical model, wherein the basic types of elements contained in the intelligent inspection process graphical model comprise four types, namely a stream object, a connection object, a lane and artificial information;
(2) The simplified intelligent patrol mechanism is embedded in the process of creating the service process model based on the BPMN graph, and can process the complexity from the intelligent patrol business process.
Preferably, the implementation process of S31 includes:
(1) The layering timing coloring Petri network is a time colored Petri network with priority, and an intelligent inspection guarantee resource management model of an online chemical instrument is built based on the time colored Petri network with priority;
(2) And simulating an intelligent patrol guarantee resource management model of the online chemical instrument by using CPN Tools, wherein the simulation process analyzes the overall operation of the intelligent patrol process and the utilization rate of the guarantee resources.
A second aspect of the present invention is to provide an intelligent inspection system for an on-line chemical meter for implementing the method of the first aspect, comprising:
The system comprises a routing inspection service model building module (101) for combining an intelligent online chemical instrument routing inspection device with a static structure with a routing inspection service delivery dynamic process taking a flow as a main line to determine a routing inspection service model aiming at personalized requirements of online chemical instrument customers, wherein the routing inspection service model is used for carrying out flow modeling on the intelligent routing inspection service;
the intelligent inspection process graphical model building module (102) is used for determining a specific inspection service with personalized requirements, adding description of information transfer and complex logic relationship between service processes based on analysis of service processes of the specific inspection service, and performing the specific inspection service based on the description;
And the intelligent patrol implementation module (103) is used for developing an application layering timed coloring Petri network based on determining that the intelligent patrol of the current online chemical instrument is a specific one of the specific patrol services, modeling and optimizing one or more response characteristics of the patrol services based on the application layering timed coloring Petri network, and implementing the specific one of the specific patrol services based on the response characteristics of the one or more patrol services after modeling and optimizing.
A third aspect of the invention provides an electronic device comprising a processor and a memory, the memory storing a plurality of instructions, the processor being for reading the instructions and performing the method according to the first aspect.
A fourth aspect of the invention provides a computer readable storage medium storing a plurality of instructions readable by a processor and for performing the method of the first aspect.
The method, the system, the electronic equipment and the computer readable storage medium have the beneficial effects that:
the intelligent inspection method and the intelligent inspection device for the online chemical instrument provide super-intelligent online chemical instrument inspection. Firstly, combining an intelligent online chemical instrument inspection device with a static structure with an inspection service delivery dynamic process taking a flow as a main line, providing an inspection service model aiming at personalized requirements of online chemical instrument customers, wherein the inspection service model is used for carrying out flow modeling on the intelligent inspection service, secondly, aiming at specific inspection service, carding the service process, carrying out specific inspection service based on the description after information transfer and complex logic relation between the service processes are described, thirdly, aiming at specific one specific inspection service, developing and applying hierarchical timed coloring Petri network, modeling and optimizing the inspection service response characteristic, and implementing the specific inspection service to be implemented based on the modeling and optimized inspection service response characteristic, thereby improving the quality and efficiency of the inspection service. The intelligent product service system is of a static structure, however, delivery of the inspection service is a dynamic process taking the process as a main line, theory and method of modeling the service process are improved from the view point of the dynamic structure of the service, and the intelligent inspection process is improved from different granularities of modeling the service process, different ecological characteristics of three layers of service activities at a microscopic level, service processes at a mesoscopic level and service packages at a macroscopic level, so that the intelligent level of inspection is greatly improved, and the problems of high labor cost, inaccurate fault judgment, unskilled maintenance processing mode and low inspection qualification rate of on-line chemical instrument operation and maintenance are solved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the related art, the drawings that are required to be used in the description of the embodiments or the related art will be briefly described, and it is apparent that the drawings in the description below are some embodiments of the present invention, and other drawings may be obtained according to the drawings without inventive effort for those skilled in the art.
FIG. 1 is a flow chart of an intelligent inspection method for an online chemical meter according to an embodiment of the invention;
FIG. 2 is a flowchart of the intelligent inspection method for on-line chemical meters according to the step S1 of the present invention;
fig. 3 is a schematic diagram of a basic structure model of a blueprint of a inspection service package according to an embodiment of the present invention;
FIG. 4 is a flowchart of a step S2 of an intelligent inspection method for an online chemical meter according to an embodiment of the present invention;
FIG. 5 (a) is a schematic diagram of a basic modeling framework of a BPMN diagram provided according to an embodiment of the present invention;
FIG. 5 (b) is a schematic diagram of the activity type of the BPMN diagram provided according to an embodiment of the present invention;
FIG. 5 (c) is a schematic diagram illustrating the activity behavior flags and task type flags of BMPN diagrams provided in accordance with an embodiment of the present invention;
FIG. 5 (d) is a schematic diagram of events in a BPMN diagram provided according to an embodiment of the present invention;
FIG. 6 is a flowchart of a step S3 of an intelligent inspection method for an online chemical meter according to an embodiment of the present invention;
FIG. 7 is a schematic diagram of an intelligent inspection system for on-line chemical meters according to an embodiment of the present invention;
FIG. 8 is a flow chart of an embodiment of an application provided in accordance with an embodiment of the present invention;
Fig. 9 is a block diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made apparent and fully in view of the accompanying drawings, in which some, but not all embodiments of the invention are shown. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings, are merely for convenience of describing the present invention and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, unless explicitly stated or limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected, mechanically connected, electrically connected, directly connected, indirectly connected via an intervening medium, or in communication between two elements. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.
Example 1
As shown in fig. 1, a first aspect of the present invention is to provide an intelligent inspection method for an online chemical meter, including:
S1, combining an intelligent online chemical instrument inspection device with a static structure with an inspection service delivery dynamic process taking a flow as a main line, and determining an inspection service model aiming at personalized requirements of online chemical instrument customers, wherein the inspection service model is used for carrying out flow modeling on intelligent inspection service;
as shown in fig. 2, as a preferred embodiment, the S1 includes:
s11, dividing a patrol service package based on personalized requirements for clients and a patrol service blueprint method;
As shown in fig. 3, in this embodiment, the inspection service package (SERVICE PACKAGE, SP) refers to a combination of a series of products and services provided for specific requirements of inspection. The physical and intangible aspects are the characteristics of the inspection service package, and the advantages and disadvantages of the service package are described by the degree of meeting the inspection requirements in physical and intangible factors. The invention classifies the basic elements of the inspection service package into four major categories of dominant inspection service, recessive inspection service, inspection supporting process and inspection supporting resource, improves based on a general service blueprint model to form a basic model applied to inspection service package analysis, has good matching performance for macroscopic inspection service package division supporting intelligent inspection service of the online chemical instrument, and comprises the following steps:
(1) The method comprises the steps of taking a patrol service activity and user behavior as main lines, determining a patrol service supporting system for supporting the patrol service activity, wherein the patrol service supporting system divides basic elements of a patrol service package into dominant patrol service, recessive patrol service, support of a patrol process and support of patrol resources;
(2) Three lines, namely an inspection user interaction boundary, a foreground and background interaction visual boundary and an internal interaction boundary, are arranged, and divide the inspection service package into four areas through the three lines, wherein the four areas comprise a user activity domain corresponding to user demands and behaviors, a foreground service domain for providing explicit services, a background service domain for providing implicit services and a supporting process domain for supporting activities and supporting resources, so that different element layers of the inspection service package are expressed;
(3) And dividing the intelligent product service package by taking a longitudinal line of the user behavior as a reference. The interaction and integration of multiple layers can be performed between different service packages due to the association of elements, the sharing of resources, the inheritance of multiple sequential activities related to inspection, and the like.
S12, service plates are added among the divided service packets, and the service plates are internally provided with cross overlapping and serial-parallel connection relations among the connected service packets, so that the completeness of intelligent product service plate planning is improved.
The technical effect of the step S1 is that the production value relevance among the inspection service packages is reflected from the macro analysis level.
S2, determining a specific type of inspection service with personalized requirements, adding description of information transfer and complex logic relationship between service processes based on analysis of service processes of the specific inspection service, and performing the specific inspection service based on the description;
As shown in fig. 4, as a preferred embodiment, the S2 includes:
s21, determining a specific type of inspection service with personalized requirements;
S22, describing the process of the inspection service by using a BPMN graph based on analysis of the service process of the specific inspection service, and adding description of information transfer and complex logic relationship between the service processes so as to form an intelligent inspection process graphical model;
The general service flow design is often focused on the analysis of macroscopic service packages and the response analysis of service delivery activities, and the service packages are converted into the modeling of service activities, and a process of service information flow and logic relation carding among different links is absent in the middle. In order to make up the gap in the technical method, the invention develops a graphical modeling method of the service process based on the BPMN diagram. The basic modeling framework of the BPMN diagram is shown in fig. 5 (a). Exemplary illustrations and descriptions thereof are shown in fig. 5 (b) -5 (d).
As a preferred embodiment, the S22 includes:
(1) According to a BPMN2.0 standard system, standardized graphical marking elements are provided for a service process based on a BPMN diagram so as to form an intelligent inspection process graphical model, wherein the basic types of the elements contained in the intelligent inspection process graphical model comprise four types, namely a Flow object (Flow), a Connection object (Connection), a lane (Swinline) and artificial information (artificial);
(2) The simplified intelligent patrol mechanism is embedded in the process of creating the service process model based on the BPMN graph, and can process the complexity from the intelligent patrol business process.
S23, carrying out the specific inspection service based on the intelligent inspection process graphical model.
The technical effect of step S2 is that ecological cooperativity of the service business process is embodied from the mesoscopic level.
S3, developing an application layering timing coloring Petri network (HIERARCHY TEMPORAL COLORED PETRI-Net, HTCP-Net) based on determining that intelligent inspection of a current online chemical instrument is a specific one of the specific inspection services, modeling and optimizing one or more response characteristics of the inspection service based on the application layering timing coloring Petri network, and implementing the specific one of the specific inspection services based on the response characteristics of the one or more inspection services after modeling and optimization;
As shown in fig. 6, as a preferred embodiment, the S3 includes:
s31, establishing an application layering timed coloring Petri network (HIERARCHY TEMPORAL COLORED PETRI-Net, HTCP-Net) based on determining that the intelligent inspection of the current online chemical instrument is a specific inspection service of the specific inspection service;
As an important means for solving the large-scale computing problem, high-performance computing technology is increasingly widely applied to the scientific and engineering fields of online chemical meters. However, with the continuous expansion of the scale of high-performance computers, the peak performance of the system is rapidly improved, the continuous performance of the application program is not improved in the same proportion, and the gap between the two is expanding. Therefore, how to find the system performance bottleneck of the online chemical instrument, improving the system continuous performance becomes an important problem to be solved in the field of high-performance computing research, and a method for applying the hierarchical timed coloring Petri net becomes the best.
In this embodiment, the implementation process of S31 includes:
(1) The layering timing coloring Petri network is a time colored Petri network with priority, and an intelligent inspection guarantee resource management model of an online chemical instrument is built based on the time colored Petri network with priority;
(2) And simulating an intelligent patrol guarantee resource management model of the online chemical instrument by using CPN Tools, wherein the simulation process analyzes the overall operation of the intelligent patrol process and the utilization rate of the guarantee resources.
S32, determining resource optimization configuration and scheduling based on the overall operation of the intelligent inspection process and the utilization rate condition of the guaranteed resources, so as to model and optimize one or more response characteristics of inspection service;
And S33, implementing the specific one specific inspection service based on the one or more inspection service response characteristics after modeling and optimization.
The technical effect of step S3 is that the high efficiency and high quality of service activities are embodied from the microscopic level.
Example two
As shown in fig. 7, the present embodiment provides an intelligent inspection system for an online chemical meter, for implementing the method of the first embodiment, including:
The inspection service model building module 101 is configured to combine an intelligent online chemical meter inspection device with a static structure with an inspection service delivery dynamic process taking a flow as a main line, and determine an inspection service model for personalized requirements of online chemical meter customers, where the inspection service model is used for performing flow modeling on the intelligent inspection service;
the intelligent inspection process graphical model building module 102 is used for determining a specific type of inspection service with personalized requirements, adding description of information transfer and complex logic relationship between service processes based on analysis of service processes of the specific inspection service, and performing the specific inspection service based on the description;
The intelligent patrol implementation module 103 is configured to develop an application-layering timed coloring Petri network (HIERARCHY TEMPORAL COLORED PETRI-Net, HTCP-Net) based on determining that intelligent patrol of the current online chemical meter is a specific one of the specific patrol services, model and optimize one or more response characteristics of the patrol services based on the application-layering timed coloring Petri network, and implement the specific one of the specific patrol services based on the one or more response characteristics after modeling and optimization.
Application examples
Intelligent inspection device
The system comprises an information collection end, an operation processing end, a diagnosis database, a fault analysis and feedback end and a maintenance and processing end. The following description is made:
1. The information collection end is used for carrying out information collection by the device through externally transmitting information such as display graphics, historical curves, operation data, fault alarms and the like of the online chemical instrument;
2. The operation processing end calls the knowledge of the diagnosis database to analyze and process according to the collected information, judges and gives out a reasonable solution;
3. the diagnosis database is used for embedding fault analysis and solution, and has programmable input, voice input and automatic learning functions;
4. The fault analysis and feedback end calls the database information to analyze and judge, avoids misjudgment caused by personnel level or quality reasons, and feeds back the analysis judgment or processed opinion and operation through a man-machine interaction interface to guide fault treatment;
5. the maintenance and processing end is used for carrying out fixed operation and maintenance on the online instrument according to the knowledge information of the database by analyzing, judging or processing the opinion, so that the workload of personnel is reduced;
And (II) related workflow, namely placing the intelligent inspection device in an on-line chemical instrument work site to perform unattended operation. The intelligent patrol device can be designed to carry out regular patrol and call inspection.
1. The timing inspection device is designed to automatically enter a working state according to a set time, an online chemical instrument is checked and analyzed one by one through an information collecting end according to a program route and inspection requirements, if the operation data and the operation conditions are normally recorded, if the failure information is abnormally collected and tidied, the comprehensive judgment and analysis are carried out by calling the diagnosis database stock information through an operation processing end, if the analysis and judgment can be carried out, the processing opinion is output through a failure analysis and feedback end or the automatic maintenance operation is carried out through a maintenance and processing end, if the analysis and processing opinion can not be given, the recorded problem content is simultaneously and independently learned and timely notified to an operator through a remote transmission system, and finally the recording and the alarm are carried out.
2. When the wake-up function is designed to alarm faults of the online chemical instrument or has a test requirement, the intelligent patrol device is required to be nearby or remotely awakened through the alarm function or initiative to carry out test analysis, the online chemical instrument is checked and analyzed through the information collecting end, if the fault information is collected and tidied up normally, the diagnosis data inventory information is called through the operation processing end to carry out comprehensive judgment and analysis, if the analysis and judgment can be carried out, the processing opinion is given through the fault analysis and feedback end or the automatic maintenance operation is carried out through the maintenance and processing end, if the analysis and processing opinion cannot be given, the recorded problem content is independently learned and timely notified to an operator through the remote transmission system, and finally the record and the alarm are carried out.
The flow chart is shown in fig. 8.
Taking an online silicate monitor as an example, how the intelligent inspection device solves the inspection fault of inaccurate measurement at present. Based on the diagnosis database, the analysis logic program is embedded in advance. The logic program is that the working principle of the on-line silicate monitor is based on the beer-lambert-Boguer law, and belongs to photoelectric colorimetric instrument, so long as the stability and the certainty of the blank voltage value of the light path are ensured, the normal measurement condition of the on-line silicate monitor basically only comprises three aspects of the effectiveness of the chromogenic medicament, the effectiveness of the hardware electromagnetic valve and the correct calibration.
1. The intelligent inspection device can carry out operation processing according to a database through information collection, and can carry out the hardware test function of the linear silicate monitor through linkage when judging that measurement errors occur, and respectively carry out analysis and judgment on whether the electromagnetic valve is blocked or leaked, so that the blank voltage value of an optical path is ensured to be stable and kept within a certain index range. The diagnosis content is that all electromagnetic valves are closed according to operation description, then (1) -a channel valve N, (2) -a metering valve, (3) -a mixing valve, (4) -a blow-down valve and (5) -a calibration valve are sequentially executed through program operation, namely, the two states of closing and opening are respectively observed and judged, if various electromagnetic valves are in the working state of opening, the water sample cannot be rapidly circulated, the electromagnetic valves are primarily diagnosed as being blocked, an intelligent inspection device prompts errors or alarm notification, and if the water sample is in the working state of closing, the water sample cannot be kept. And if the intelligent inspection device works normally, ensuring that the blank voltage value of the light path is stable and kept within a certain index range through the light path intelligent regulation system.
2. And secondly, failure of the chromogenic reagent, namely judging that measurement is not right through information collection by the intelligent inspection device according to database operation processing, further confirming that the hardware electromagnetic valve is normal through first failure diagnosis, and preliminarily diagnosing that the chromogenic reagent is failed on the premise that the blank voltage value of the light path is stable and kept within a certain index range. The intelligent inspection device is used for extracting the color-developing agent from the color-developing agent bottle, the color-developing agent is respectively added into a solution with high silicon content in sequence according to the working principle flow (under the condition that the acidity is 1.1-1.3 </SUB >), the soluble silicon in the sample water and the ammonium molybdate generate a yellow silicon-molybdenum complex, the silicon-molybdenum complex is reduced into silicon-molybdenum blue by a reducing agent, if the color-developing reaction can be normal to be deep blue, the color-developing agent is proved to be normal, and if the color-developing reaction is light blue or colorless, the color-developing agent is proved to be invalid. The intelligent inspection device can complete failure diagnosis of the color-developing agent, and prompt replacement or automatic configuration replacement.
3. And thirdly, calibrating and expiring, namely judging that measurement inaccuracy occurs by the intelligent inspection device through information collection according to database operation processing, further confirming that the first and second fault diagnosis are normal, and preliminarily diagnosing to be calibrating and expiring on the premise that the blank voltage value of the light path is stable and kept within a certain index range. The intelligent inspection device can complete calibration expiration diagnosis, prompt calibration or autonomously carry out liquid preparation standard.
The invention also provides a memory storing a plurality of instructions for implementing the method according to the first embodiment.
As shown in fig. 9, the present invention further provides an electronic device, including a processor 301 and a memory 302 connected to the processor 301, where the memory 302 stores a plurality of instructions, and the instructions may be loaded and executed by the processor, so that the processor can execute the method according to the first embodiment.
From the description of the above embodiments, it will be apparent to those skilled in the art that the above embodiments may be implemented in software, or may be implemented by means of software plus a necessary general hardware platform. With such understanding, the technical solutions of the foregoing embodiments may be embodied in a software product, where the software product may be stored in a nonvolatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.), and include several instructions for causing a computer device (may be a personal computer, a server, or a network device, etc.) to perform the methods of the embodiments of the present invention.
It should be noted that the above embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the above embodiments, it should be understood by those skilled in the art that the technical solution described in the above embodiments may be modified or some or all of the technical features may be equivalently replaced, and these modifications or substitutions do not make the essence of the corresponding technical solution deviate from the scope of the technical solution of the embodiments of the present invention.
Claims (10)
1. An intelligent inspection method for an online chemical instrument, comprising the following steps:
S1, combining an intelligent online chemical instrument inspection device with a static structure with an inspection service delivery dynamic process taking a flow as a main line, and determining an inspection service model aiming at personalized requirements of online chemical instrument customers, wherein the inspection service model is used for carrying out flow modeling on intelligent inspection service;
S2, determining a specific type of inspection service with personalized requirements, adding description of information transfer and complex logic relationship between service processes based on analysis of service processes of the specific inspection service, and performing the specific inspection service based on the description;
S3, developing an application layering timing coloring Petri network based on determining that intelligent inspection of the current online chemical instrument is a specific one of the specific inspection services, modeling and optimizing one or more response characteristics of the inspection service based on the application layering timing coloring Petri network, and implementing the specific one of the specific inspection services based on the one or more inspection service response characteristics after modeling and optimizing.
2. The intelligent patrol method for an on-line chemical meter according to claim 1, wherein S1 comprises:
s11, dividing a patrol service package based on personalized requirements for clients and a patrol service blueprint method;
S12, service plates are added among the divided service packets, and the service plates are internally provided with cross overlapping and serial-parallel connection relations among the connected service packets, so that the completeness of intelligent product service plate planning is improved.
3. The intelligent patrol method for an on-line chemical meter according to claim 2, wherein S2 comprises:
s21, determining a specific type of inspection service with personalized requirements;
S22, describing the process of the inspection service by using a BPMN graph based on analysis of the service process of the specific inspection service, and adding description of information transfer and complex logic relationship between the service processes so as to form an intelligent inspection process graphical model;
s23, carrying out the specific inspection service based on the intelligent inspection process graphical model.
4. An intelligent patrol method for an on-line chemical meter according to claim 3, wherein S3 comprises:
s31, establishing an application layering timed coloring Petri network based on determining that intelligent inspection of a current online chemical instrument is a specific inspection service in the specific inspection service;
S32, determining resource optimization configuration and scheduling based on the overall operation of the intelligent inspection process and the utilization rate condition of the guaranteed resources, so as to model and optimize one or more response characteristics of the inspection service;
And S33, implementing the specific one specific inspection service based on the one or more inspection service response characteristics after modeling and optimization.
5. The intelligent patrol method for an on-line chemical meter according to claim 4, wherein S11 comprises:
(1) The method comprises the steps of taking a patrol service activity and user behavior as main lines, determining a patrol service supporting system for supporting the patrol service activity, wherein the patrol service supporting system divides basic elements of a patrol service package into dominant patrol service, recessive patrol service, support of a patrol process and support of patrol resources;
(2) Three lines, namely an inspection user interaction boundary, a foreground and background interaction visual boundary and an internal interaction boundary, are arranged, and divide the inspection service package into four areas through the three lines, wherein the four areas comprise a user activity domain corresponding to user demands and behaviors, a foreground service domain for providing explicit services, a background service domain for providing implicit services and a supporting process domain for supporting activities and supporting resources, so that different element layers of the inspection service package are expressed;
(3) Based on a longitudinal line of user behaviors, the intelligent product service packages are divided, and interaction and integration of multiple layers can be carried out among different service packages due to the association of elements, sharing of resources and succession of multiple related activities of inspection.
6. The intelligent patrol method for an on-line chemical meter according to claim 5, wherein S22 comprises:
(1) Providing standardized graphical marking elements for a service process based on a BPMN graph according to a BPMN2.0 standard system so as to form an intelligent inspection process graphical model, wherein the basic types of elements contained in the intelligent inspection process graphical model comprise four types, namely a stream object, a connection object, a lane and artificial information;
(2) The simplified intelligent patrol mechanism is embedded in the process of creating the service process model based on the BPMN graph, and can process the complexity from the intelligent patrol business process.
7. The intelligent inspection method for an on-line chemical meter according to claim 6, wherein the implementation process of S31 comprises:
(1) The layering timing coloring Petri network is a time colored Petri network with priority, and an intelligent inspection guarantee resource management model of an online chemical instrument is built based on the time colored Petri network with priority;
(2) And simulating an intelligent patrol guarantee resource management model of the online chemical instrument by using CPN Tools, wherein the simulation process analyzes the overall operation of the intelligent patrol process and the utilization rate of the guarantee resources.
8. An intelligent inspection system for an on-line chemical meter for implementing the method of any of claims 1-7, comprising:
The system comprises a routing inspection service model building module (101) for combining an intelligent online chemical instrument routing inspection device with a static structure with a routing inspection service delivery dynamic process taking a flow as a main line to determine a routing inspection service model aiming at personalized requirements of online chemical instrument customers, wherein the routing inspection service model is used for carrying out flow modeling on the intelligent routing inspection service;
the intelligent inspection process graphical model building module (102) is used for determining a specific inspection service with personalized requirements, adding description of information transfer and complex logic relationship between service processes based on analysis of service processes of the specific inspection service, and performing the specific inspection service based on the description;
And the intelligent patrol implementation module (103) is used for developing an application layering timed coloring Petri network based on determining that the intelligent patrol of the current online chemical instrument is a specific one of the specific patrol services, modeling and optimizing one or more response characteristics of the patrol services based on the application layering timed coloring Petri network, and implementing the specific one of the specific patrol services based on the response characteristics of the one or more patrol services after modeling and optimizing.
9. An electronic device comprising a processor and a memory, the memory storing a plurality of instructions, the processor configured to read the instructions and perform the method of any of claims 1-7.
10. A computer readable storage medium storing a plurality of instructions readable by a processor and for performing the method of any one of claims 1-7.
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