CN118941207A

CN118941207A - A smart warehouse management system based on the Internet of Things

Info

Publication number: CN118941207A
Application number: CN202411010473.XA
Authority: CN
Inventors: 马丹; 王坤阳; 任雷; 任露泉; 王康平; 卢雪薇
Original assignee: Jilin University
Current assignee: Jilin University
Priority date: 2024-07-26
Filing date: 2024-07-26
Publication date: 2024-11-12

Abstract

The invention is applicable to the technical field of warehouse management, and provides an intelligent warehouse management system based on the Internet of things, which comprises an environment monitoring module, a reading and identifying module, a data communication module and a data processing module; the environment monitoring module is used for monitoring the environment state of the warehouse in real time and sending out an alarm when detecting the abnormal environment state; the reading and identifying module is used for realizing automatic identification, positioning and tracking of goods; the data communication module is used for transmitting the data collected by the environment monitoring module and the reading identification module to the data processing module; the data processing module is used for receiving, storing and analyzing the data from the environment monitoring module and the reading identification module and displaying the results. The invention realizes real-time monitoring, automatic processing and intelligent decision support of warehouse environment and goods through integrating various sensors, automatic identification technology, wireless communication modules, data processing, analysis software and user interaction interfaces.

Description

Intelligent warehouse management system based on Internet of things

Technical Field

The invention belongs to the technical field of warehouse management, and particularly relates to an intelligent warehouse management system based on the Internet of things.

Background

With the rapid development of informatization technology and the improvement of people's consumption level, the quantity of goods is continuously increased, and the demand for goods storage is also increasingly increased. The intelligent warehouse is taken as a new development direction, and can realize real-time monitoring of warehouse environment, cargo transportation and stored cargo, thereby realizing intelligent management. The warehouse is an important core part of intelligent manufacturing, and the problems that the traditional warehouse management is large in manual management duty ratio, low in random stacking utilization rate of products, out-of-compliance rules, careless in manual document information copying, undefined in handing-over contents of administrators with different responsibilities and the like are common, and the problems can cause difficult delivery and cause certain potential safety hazard. Therefore, the traditional warehouse management method can not meet the requirements, and the intelligent warehouse management system is applied to logistics management work, so that the working pressure can be greatly reduced, the operation speed and the management level are improved, and the logistics management work cost investment is effectively reduced.

The intelligent warehouse management system combines and applies the internet of things technology, achieves the intellectualization and reasonable standardization of warehouse management, reduces the investment of labor force to a certain extent, reduces the management cost of the warehouse, improves the working efficiency of the warehouse, and avoids human errors to a great extent. Overall, the intelligent warehouse management system increases the overall warehouse management level. Enterprises can know the states, positions and transportation conditions of goods through the intelligent warehouse management system, the transparency of logistics information is enhanced, and the intelligent warehouse management system is beneficial for warehouse managers to better coordinate work in all aspects in the warehouse, and improves the operation efficiency of the warehouse. Therefore, the investment in research and application of the intelligent warehouse management system is increased, and the application and development of the intelligent warehouse management system in more fields are promoted. Therefore, the invention provides an intelligent warehouse management system based on the Internet of things.

Disclosure of Invention

The invention aims to provide an intelligent warehouse management system based on the Internet of things, and aims to solve the problems in the background technology.

In order to achieve the above purpose, the present invention provides the following technical solutions:

An intelligent warehouse management system based on the Internet of things comprises an environment monitoring module, a reading identification module, a data communication module and a data processing module;

The environment monitoring module is used for monitoring the environment state of the warehouse in real time and sending out an alarm when detecting the abnormal environment state;

the reading and identifying module is used for realizing automatic identification, positioning and tracking of goods;

the data communication module is used for transmitting the data collected by the environment monitoring module and the reading identification module to the data processing module;

the data processing module is used for receiving, storing and analyzing the data from the environment monitoring module and the reading identification module and displaying the results.

Further, the environment monitoring module comprises a Buzzer buzzer, at least one DHT-22 temperature and humidity sensor and at least one SnO ₂ resistance type gas sensor;

the temperature and humidity sensor is used for recording temperature and humidity data of goods and timely adjusting temperature and humidity values;

the resistance type gas sensor is used for monitoring the concentration of various gases in the warehouse environment;

The buzzer is used for giving an alarm when an abnormal environment state is detected.

Further, the read identification module includes at least one RFID reader and at least one RFID tag;

the RFID tag is attached to the goods and used for storing goods information;

The RFID reader is used to automatically identify an RFID tag of an article, and the RFID reader communicates with the RFID tag through radio waves.

Further, the data communication module comprises at least one Wi-Fi communication device for wireless transmission of data.

Further, the data processing module includes: visual Studio 2022 platform, java development language, C language, python language, mySQL database system and Web user interface;

The Java language is used for developing a Web interface and a data interaction program;

the C language is used for writing a hardware control program;

the Python language is used for carrying out data analysis;

The MySQL database system is used for storing inventory information and environment monitoring data of goods in the warehouse;

The Web user interface employs SSL/TLS encrypted transmissions.

A method of using the system described above, comprising the steps of:

step 1, monitoring the environmental state of a warehouse in real time by utilizing an environmental monitoring module and giving an alarm when detecting an abnormal environmental state;

step 2, automatically identifying, positioning and tracking goods by utilizing a reading identification module;

step 3, wirelessly transmitting monitoring data by utilizing a data communication module;

and 4, receiving, storing and analyzing the data by utilizing the data processing module, and displaying the result on a Web user interface for the administrator to inquire and operate.

Further, the method includes an automated alarm step, the system presets a series of safety thresholds including, but not limited to, an upper temperature limit, an upper humidity limit, an upper concentration limit of CO ₂, and an upper concentration limit of other harmful gases; when the monitored environmental parameter reaches or exceeds a threshold value, the environmental monitoring module automatically triggers an alarm step; after the alarm is triggered, a buzzer connected with the data processing module sounds the alarm, and the Web user interface displays emergency alarm information.

Further, the method comprises an inventory management step, wherein when the reading identification module identifies the RFID tag on the goods through the RFID reader, the system automatically captures the goods information, the identified goods information is transmitted to the data processing module, and the data processing module matches the received goods information with the existing inventory records in the MySQL database system so as to determine the type of inventory update required to be performed; when updating the stock information, the system records the time stamp of each transaction; the data processing module performs data verification after updating the inventory, and if any abnormality or error is encountered in the process of updating the inventory, the system automatically records error information and informs an administrator to perform verification;

The inventory update type is warehouse entry, warehouse exit or inventory checking; for warehousing, after the goods arrive at the warehouse and are confirmed by the reading and identifying module, the system increases the inventory quantity of the corresponding goods; for ex-warehouse, when the goods leave the warehouse, the system reduces the stock quantity of the corresponding goods; for inventory checking, inventory checking is carried out at regular time, so that the consistency of the physical inventory and the record in the MySQL database system is realized; the system is provided with an inventory early warning mechanism, and when the inventory level of some goods is lower than a preset threshold value, an administrator is automatically reminded to carry out replenishment.

Compared with the prior art, the invention has the beneficial effects that:

the invention realizes real-time monitoring, automatic processing and intelligent decision support of warehouse environment and goods through integrating various sensors, automatic identification technology, wireless communication modules, data processing, analysis software and user interaction interfaces.

Drawings

Fig. 1 is a block diagram of a system according to the present invention.

FIG. 2 is a block diagram of an environmental monitoring module according to the present invention.

FIG. 3 is a block diagram of a read identification module according to the present invention.

FIG. 4 is a block diagram of a data processing module according to the present invention.

Fig. 5 is a block diagram of hardware in the present invention.

FIG. 6 is a flowchart of the development and deployment of the system of the present invention.

In the figure: the environment monitoring module 100, the temperature and humidity sensor 110, the resistive gas sensor 120, the buzzer 130, the reading identification module 200, the RFID reader 210, the RFID tag 220, the data communication module 300, the data processing module 400, the Visual Studio 2022 platform 410, the Java development language 420, the C language 430, the Python language 440 and the MySQL database system 450.

Detailed Description

The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.

Specific implementations of the invention are described in detail below in connection with specific embodiments.

As shown in fig. 1, an intelligent warehouse management system based on the internet of things according to an embodiment of the present invention includes an environment monitoring module 100, a reading identification module 200, a data communication module 300 and a data processing module 400;

the environment monitoring module 100 is used for monitoring the environment state of the warehouse in real time and giving an alarm when detecting the abnormal environment state;

The reading and identifying module 200 is used for automatically identifying, positioning and tracking goods and automatically updating inventory information;

the data communication module 300 is configured to transmit the data collected by the environmental monitoring module 100 and the reading identification module 200 to the data processing module 400;

The data processing module 400 is configured to receive, store and analyze data from the environmental monitoring module 100 and the read identification module 200, and display the results.

In the embodiment of the present invention, the environmental monitoring module 100 is a part of the whole hardware system, and belongs to the technical bottom layer of the whole system. The monitoring of environmental conditions within the warehouse, such as temperature and humidity, gas concentration, etc., is focused on ensuring that the goods are stored in a suitable environment, reducing the risk of damage to the goods. The environment monitoring module 100 is used as a feedback mechanism of the system to adjust the microenvironment of the warehouse according to the monitoring result. After receiving the abnormal signal alarm information, the system rapidly responds. The read identification module 200 may then provide the necessary control information, such as adjusting the cargo storage location to optimize storage space. Under normal conditions, each time the goods change, the reading identification module 200 automatically tracks the information of the storage location, the quantity, the batch and the like of the goods by using the RFID technology. The method realizes automation of the warehouse-in and warehouse-out processes of goods and improves the management efficiency and accuracy. The data collected by the two modules will typically be integrated into the same database for unified management and analysis. The environmental data may help identify the storage needs of a particular good, while the data provided by the read identification module 200 may be used to monitor the flow and storage status of the good. The Web user interface comprehensively displays the environment monitoring data and the read identification information, so that a manager can monitor the warehouse state in real time and respond.

When an emergency situation, such as fire or toxic gas leakage, is encountered, the environment monitoring module 100 detects that the environmental parameter exceeds the preset range, the system may trigger an alarm, and the reading and identifying module 200 can quickly determine the real-time position information of all people and goods in the warehouse for rapid evacuation and protection.

As shown in fig. 2, as a preferred embodiment of the present invention, the environmental monitoring module 100 includes at least one DHT-22 temperature and humidity sensor 110 and at least one SnO ₂ resistive gas sensor 120, and a Buzzer buzzer 130;

The DHT-22 temperature and humidity sensor 110 employs a standard single bus interface, which helps to simplify system integration. The product is divided into 3 leads and 4 leads which are connected, and any bus mode can be freely selected. Is used for recording the temperature and humidity data of the goods, the temperature and humidity value is timely adjusted, and the state of the goods is guaranteed; comparing the acquired data with preset temperature and humidity range data, and determining the optimal temperature at the time; according to the storage requirements of different goods, the system allows an administrator to set upper and lower limit thresholds of temperature and humidity so as to ensure the safety and quality of the goods. When the monitored temperature and humidity data exceeds a preset threshold, the system automatically triggers regulation measures, such as starting an air conditioner, a dehumidifier or a humidifier, so as to adjust the temperature and humidity in the warehouse. The system records the history of all temperature and humidity data and regulation measures, and generates reports for inspection and analysis by an administrator to optimize warehouse environment management.

SnO ₂ resistive gas sensor 120 typically employs a sintering process. Porous SnO ₂ ceramic is used as a base material, then a plurality of different substances are added, and the ceramic is sintered by a ceramic process, and heating resistance wires and measuring electrodes are embedded during sintering. The monitoring system is used for monitoring the concentration of various gases in a warehouse environment, ensuring the air quality and preventing the safety risk caused by gas accumulation. The sensor generally has high sensitivity to a specific type of gas, such as carbon monoxide (CO), methane (CH ₄), alcohol vapors, etc., and can be used to detect hazardous or flammable gases in a warehouse. The resistive gas sensor 120 is installed at a critical location, such as a cargo stacking area, a aisle, an doorway, etc., according to the specific environment and gas distribution characteristics of the warehouse. The resistive gas sensor 120 continuously monitors the gas concentration in the environment and transmits data in real time to the data processing module 400. The resistive gas sensor 120 typically transmits the detected gas concentration information to a control unit (e.g., STM32F103C8T6 single-chip microcomputer) via analog or digital signal output.

Buzzer buzzer 130 can produce 2KHz-5KHz frequency control through the singlechip, and can make different sounds by changing the empty control frequency. The primary function is to emit an audible signal for alerting, alerting or informing the user of certain events or changes in status. The buzzer 130 is typically connected to a control unit (e.g., STM32F103C8T6 singlechip) via a simple electrical interface (e.g., GPIO pins). The buzzer 130 may sound a continuous tone, intermittent tone, or a specific pattern to distinguish between different types of alarms or signals. The volume can be adjusted at will to adapt to different environments and user demands. Integrated in a control panel or system, installed in a location that is convenient for staff to hear, such as an entrance to a warehouse, a aisle, or a management center.

In the embodiment of the invention, an environmental monitoring module 100 is integrated on an STM32F103C8T6 singlechip, the data collected by the temperature and humidity sensor 110 and the resistive gas sensor 120 are kept within the normal value range, the buzzer 130 does not generate any alarm prompt tone, and when one sensor receives dangerous data information, the buzzer 130 starts to work, so that one cycle of the module is completed. And the operation is performed in this way.

As shown in fig. 3, as a preferred embodiment of the present invention, the read identification module 200 includes at least one RFID reader 210 and at least one RFID tag 220;

The RFID reader 210 is used to automatically identify the RFID tag 220 of the article, and the RFID reader 210 communicates with the RFID tag 220 through radio waves. The RFID reader 210 selects an MFRC-522 radio frequency identification reader, is a high-performance RFID read-write device, has low cost and high flexibility, can be quickly compatible with various devices, and can be widely applied to the internet of things, smart cards, access control systems and various automatic identification systems by using an advanced modulation and demodulation method. The reader implements a read or write operation of tag data. RFID tag 220 is compatible with the reader, ensuring that the data is properly transmitted.

The RFID tag 220 is attached to an article for storing article information; the related information data such as various names, types, production dates and the like of goods stored in the warehouse can be quickly transmitted to the system for recording, and the system is waterproof and has a large reading range.

RFID technology has a degree of sensitivity to metals and liquids, etc., which can affect the performance of the tag. The environmental monitoring module 100 ensures that the temperature and humidity sensor 110 monitors that the collected data is in a normal data range, and the reading and identifying module 200 normally reads the identification tag information, locates the cargo position, and the like by using the RFID technology.

In the embodiment of the present invention, the environment monitoring module 100 and the reading identification module 200 are used cooperatively, and the specific scenarios are as follows:

Intelligent warehouses are an important task for the individual storage and management of special goods. Special goods may include: fragile products, high value products, dangerous products or goods with special requirements for environmental conditions. And identifying the special goods and the environmental requirements thereof according to the goods information stored in the database. A specific monitoring plan is customized for a particular item, including monitoring frequency, parameter ranges, and alarm thresholds. Dedicated environmental monitoring sensors, such as temperature and humidity sensors 110, gas sensors 120, etc., are deployed in a particular item storage area. Environmental data of the special storage area is continuously collected, and storage requirements of special goods are met. And analyzing the collected data in real time, and comparing the collected data with preset environmental standards. Upon detecting that the environmental parameter exceeds the preset range, the buzzer 130 is triggered to alarm immediately, and the administrator is notified through the system. Recording all monitoring data and the occurred events, and generating a report of the special goods storage environment. The tag of the particular item is identified using RFID technology or other automatic identification technology in the read identification module 200. And track the location of the particular item in the warehouse to ensure that it is stored in the designated area. Access control is performed to the storage area of the particular item, and only authorized personnel can operate it. If a particular item is not authorized to be moved or stored, the system will alert and notify the relevant personnel. The inventory information is automatically updated as the particular items are put in and out of inventory and ensure that specific operating procedures are followed. All activities of the particular item, including movement, inspection, and environmental changes, are recorded to facilitate traceability and auditing. The read identification module 200 is integrated with the data of the environmental monitoring module 100 to provide a comprehensive view of the special goods, and the two modules together ensure safe storage and accurate management of the special goods, reduce human errors and potential goods loss risks, and improve the intelligent and automatic level of warehouse management.

As shown in fig. 1, the data communication module 300 includes at least one Wi-Fi communication device for wirelessly transmitting data, as a preferred embodiment of the present invention. The data communication module 300 is of a software design. The software implementation adopts a B/S architecture, an administrator can inquire data information of goods in a warehouse and manage and record inventory of the goods through a Web user interface, and the enterprise can also input the goods into the system through RFID and store the goods in a database. The module for wireless communication finally transmits the transmitted data to the system through wireless network Wi-Fi and displays the data.

Data from the temperature and humidity sensor 110, the resistive gas sensor 120, and the RFID reader 210 are processed through the Wi-Fi sensor of the integrated chip and transmitted to the data communication module 300. ESP8266 is a low-cost Wi-Fi chip, and can work together with Wemos D Mini to expand the communication capacity of the system. ESP8266 is responsible for processing data from sensors and RFID reader 210 and transmitting it to Wemos D Mini.

The Wi-Fi module on Wemos D Mini supports the 802.11b/g/n standard, so that compatibility with the existing network infrastructure is ensured. By configuration, the module can be connected to a local network of a warehouse to realize remote transmission of data. The system monitors the signal intensity and quality of Wemos D Mini in real time, and ensures the stability of data transmission. If necessary, the system automatically adjusts the Wi-Fi module parameters to optimize communication performance. The Wi-Fi connection is encrypted through a WPA/WPA2 and other security protocols, so that the security in the data transmission process is protected, and the data is prevented from being intercepted or tampered.

As shown in fig. 4, the data processing module 400 is a core component of the intelligent warehouse management system, and is responsible for receiving, storing, and analyzing data from the environmental monitoring module 100 and the read identification module 200, as a preferred embodiment of the present invention. The data processing module 400 is primarily a software design, including a Visual Studio 2022 platform 410, a Java development language 420, a C language 430, a Python language 440, a MySQL database system 450, and a Web user interface; the data processing module 400 uses a program development language on the Visual Studio 2022 platform 410;

java development language 420 has a powerful ecosystem, its security model can prevent malicious code from accessing the underlying resources of the operating system and has good performance, so Java is an ideal structure for developing the Web.

The C language 430 can be used on different software and hardware platforms with different architectures in a rapid operation mode, and has high operation efficiency and can directly access the hardware.

The Python language 440 is used for data analysis, and the system can run in a cross-platform mode and has high compatibility, expandability and small code quantity due to the strong library and the support of a framework; the readability is high, and the codes are convenient for updating and maintaining in the future; the open source library covers the fields of data analysis, machine intelligence and the like, and can help users complete data processing in a short time.

The MySQL database system 450 is used to store inventory information and environmental monitoring data of items in a warehouse, and the MySQL database system 450 adopts a secure access control mechanism to ensure that only authorized users can access sensitive data, and all data accesses are authenticated and authorized.

The Web user interface allows an administrator to perform queries, operations, and administrative tasks. In order to ensure the data security, the Web user interface adopts SSL/TLS encryption transmission to protect the security of the data in the transmission process.

In an embodiment of the present invention, the data processing module 400 receives data from various sensors and RFID readers 210 within the warehouse via wired or wireless communication. The received raw data is cleaned, formatted and standardized for subsequent analysis and storage. The processed data is stored in a database system, such as MySQL database system 450, to ensure the security, reliability and consistency of the data. The data from the different sensors and RFID readers 210 are integrated, and an association between the data is established, forming a complete warehouse data view. And deep analysis is carried out on the data by using methods such as statistical analysis, machine learning and the like, and modes and trends in the data are mined. By data analysis, abnormal conditions in the data, such as environment parameters exceeding a preset range or stock abnormal fluctuation, are identified. The database is backed up periodically to prevent data loss or corruption. The data can be quickly restored when needed.

Through the functions, the data processing module 400 provides powerful data processing capability for the intelligent warehouse management system, improves the automation and intelligence level of warehouse management, reduces the operation cost and enhances the decision support capability.

As shown in fig. 5, as a preferred embodiment of the present invention, the hardware device diagram of the intelligent warehouse management system includes all the combinations of hardware in each functional module of the whole system, and based on the successful establishment of the hardware environment and the processing of the software, a complete system design is formed.

All hardware devices are shown in a modular fashion, with each module representing a functional area in the system. STM32F103C8T6 singlechip is used as a main controller of the system; the DHT-22 temperature and humidity sensor 110 and the SnO ₂ resistive gas sensor 120 are placed in strategic locations in the warehouse; MFRC-522RFID reader 210 covers a particular area of the warehouse; wemos D1 Mini and ESP 8236 Wi-Fi modules are shown to be connected to an STM32F103C8T6 singlechip and are responsible for wireless transmission of data; buzzer the buzzer 130 is used to sound an alarm in case of an abnormality.

As shown in fig. 6, a flowchart of the development and deployment of the intelligent warehouse management system based on the internet of things is shown. The various stages and steps from start to end, as well as the logical relationships between these steps, are described. The method comprises the following specific steps:

starting: a starting point of the system;

Demand analysis: determining a target and a user demand;

And (3) system design: designing a system architecture and detailed design based on demand analysis;

and (3) module development: respectively developing each module of the system, such as an environment monitoring module, a reading identification module, a data communication module and a data processing module;

and (3) testing and verifying: separate testing and verification of each module ensures that they work as intended;

and (3) system integration: integrating all modules into a complete system;

And (3) system testing: performing comprehensive tests on the integrated system, including functional tests, performance tests and user acceptance tests;

deployment implementation: deploying the system into a production environment, and starting actual operation;

Maintenance and upgrading: after the system is on line, continuous maintenance and upgrading are carried out to repair problems and improve functions;

Ending: end of system lifecycle.

In the embodiment of the invention, in the intelligent warehouse management system, the whole flow chart can help to know the project progress, the task and responsibility allocation of each stage and each key step of system development. By following this flow, it can be ensured that the development and implementation of the system is orderly, controllable and efficient.

An embodiment of the present invention provides a method for using the intelligent warehouse management system based on the internet of things, which comprises the following steps:

step 1, monitoring the environmental state of a warehouse in real time by utilizing an environmental monitoring module 100 and giving an alarm when detecting an abnormal environmental state;

step 2, automatically identifying, positioning and tracking the goods by using the reading identification module 200;

Step 3, wirelessly transmitting monitoring data by using the data communication module 300;

Step 4, the data processing module 400 is utilized to receive, store and analyze the data, and the result is displayed on the Web user interface for the administrator to query and operate.

As shown in fig. 1 and 2, as a preferred embodiment of the present invention, the method includes an automated alarm step, the system presets a series of safety thresholds including, but not limited to, upper temperature limit, upper humidity limit, upper CO ₂ concentration limit, and upper concentration limit of other harmful gases; when the monitored environmental parameter reaches or exceeds the threshold value, the environmental monitoring module 100 automatically triggers an alarm step without manual intervention; upon triggering the alarm, a buzzer 130 connected to the data processing module 400 sounds the alarm to immediately alert personnel in the warehouse to the potential hazard. At the same time, the system will display emergency alert information, possibly including alert type, location, time, and suggested countermeasures, through the Web user interface. The system provides a user-friendly configuration interface that allows an administrator to easily set and manage alarm thresholds, notification lists, and response measures.

According to the embodiment of the invention, through the implementation of the automatic alarm step, the intelligent warehouse management system can timely respond to environmental changes, so that the safety and the operation efficiency of the warehouse are improved, and meanwhile, the goods loss and the personnel risk caused by environmental problems are reduced.

As shown in fig. 3 and 4, the method includes an inventory management step, as a preferred embodiment of the present invention, when the read identification module 200 identifies the RFID tag 220 on the item through the RFID reader 210, the system automatically captures item information such as item ID, type, quantity, etc. The identified item information is transmitted to the data processing module 400, which data processing module 400 is responsible for processing the data and updating the inventory status.

The data processing module 400 matches the received item information with the existing inventory records in the MySQL database system 450 to determine the type of inventory update that needs to be made, such as in-store, out-of-store, or inventory. The system supports batch processing, can process the identification and inventory updating of a plurality of goods at the same time, and improves the efficiency of warehouse operation.

When updating inventory information, the system records the time stamp of each transaction to facilitate historical tracking and inventory change analysis. The data processing module 400 performs data verification after updating the inventory to ensure the accuracy of inventory changes. If any anomalies or errors are encountered during the update inventory, the system will automatically record an error message and notify the administrator to check.

For warehousing, after the goods arrive at the warehouse and are confirmed by the reading and identifying module 200, the system increases the inventory quantity of the corresponding goods; for ex-warehouse, when the goods leave the warehouse, the system reduces the stock quantity of the corresponding goods; for inventory checking, inventory checking is carried out at regular time, so that the physical inventory is kept consistent with the record in the MySQL database system 450; the system is provided with an inventory early warning mechanism, and when the inventory level of some goods is lower than a preset threshold value, an administrator is automatically reminded to carry out replenishment.

In the embodiment of the invention, the inventory management step is tightly integrated with a Web user interface, and an administrator can check the real-time inventory state through Web to execute inventory inquiry and report generation.

The foregoing is merely a preferred embodiment of the present invention, and it should be noted that modifications and improvements can be made by those skilled in the art without departing from the spirit of the present invention, and these should also be considered as the scope of the present invention, which does not affect the effect of the implementation of the present invention and the utility of the patent.

Claims

1. The intelligent warehouse management system based on the Internet of things is characterized by comprising an environment monitoring module, a reading and identifying module, a data communication module and a data processing module;

2. The system of claim 1, wherein the environmental monitoring module comprises one Buzzer buzzer, at least one DHT-22 temperature and humidity sensor, and at least one SnO ₂ resistive gas sensor;

3. The system of claim 1, wherein the read identification module comprises at least one RFID reader and at least one RFID tag;

the RFID tag is attached to the goods and used for storing goods information;

4. The system of claim 1, wherein the data communication module comprises at least one Wi-Fi communication device for wirelessly transmitting data.

5. The system of claim 1, wherein the data processing module comprises: visual Studio 2022 platform, java development language, C language, python language, mySQL database system and Web user interface;

the C language is used for writing a hardware control program;

the Python language is used for carrying out data analysis;

The Web user interface employs SSL/TLS encrypted transmissions.

6. A method of using the system of any of claims 1-5, comprising the steps of:

7. The method of claim 6, comprising an automated alarm step, the system presets a series of safety thresholds including, but not limited to, upper temperature, upper humidity, upper CO ₂ concentration, and upper concentration of other hazardous gases; when the monitored environmental parameter reaches or exceeds a threshold value, the environmental monitoring module automatically triggers an alarm step; after the alarm is triggered, a buzzer connected with the data processing module sounds the alarm, and the Web user interface displays emergency alarm information.

8. The method of claim 6, wherein the method includes an inventory management step, when the reading identification module identifies an RFID tag on the item by an RFID reader, the system automatically captures item information, the identified item information is transmitted to the data processing module, and the data processing module matches the received item information with an existing inventory record in the MySQL database system to determine the type of inventory update that needs to be performed; when updating the stock information, the system records the time stamp of each transaction; the data processing module performs data verification after updating the inventory, and if any abnormality or error is encountered in the process of updating the inventory, the system automatically records error information and informs an administrator to perform verification;