Intelligent water affair management method and system based on Internet of Things and artificial intelligence

Abstract

The invention discloses an intelligent water affair management method and system based on Internet of Things and artificial intelligence, and relates to the technical field of Internet of Things and artificial intelligence application, and the method comprises the steps: collecting first data based on first equipment, and transmitting the first data; monitoring the health state of the equipment and performing intelligent diagnosis; and comprehensive environmental protection supervision and automatic management are carried out based on the Internet of Things technology. According to the intelligent water affair management method based on the Internet of Things and artificial intelligence, the Internet of Things technology is utilized, all devices and facilities in an intelligent water affair management system are interconnected and intercommunicated through sensors and acquisition devices, key data such as a water source, water consumption and sewage discharge are acquired in real time, the timeliness and accuracy of water affair management are improved, and the water affair management efficiency is improved. Through the predictive maintenance model of the AI, the efficiency and accuracy of equipment maintenance are improved, the non-planned shutdown of equipment is reduced, and the overall operation stability and efficiency of the system are further improved. The method has better effects in the aspects of management efficiency, cost and operation stability.

Description

Technical Field

[0001] The present invention relates to the field of Internet of Things and artificial intelligence application technology, and specifically to a smart water management method and system based on Internet of Things and artificial intelligence. Background Art

[0002] With the rapid advancement of urbanization and the expansion of industrial production, the management and dispatch of water resources have become increasingly complex, and smart water management technology has gradually become the focus of attention. The application of Internet of Things (IoT) technology in water management makes remote real-time monitoring, automatic data collection and intelligent control possible. Through sensors and intelligent devices, water management has achieved monitoring and management of the entire process of water supply, drainage and sewage treatment. At the same time, the rapid development of artificial intelligence (AI) technology has further promoted the intelligence of water systems, especially in equipment health diagnosis and maintenance, pollutant emission supervision, etc. AI technology can achieve more efficient management through big data analysis, prediction of equipment status and emission indicators. The current water management system plays an important role in improving resource utilization, reducing pollution, and optimizing operation efficiency.

[0003] Although the Internet of Things and artificial intelligence technologies have been gradually applied to water management systems, the existing related technologies still have deficiencies in many aspects. First, traditional water management systems often rely on decentralized monitoring equipment, making it difficult to achieve real-time interconnection of multiple data sources, resulting in serious information island problems and the inability to achieve all-round and full-process monitoring of water systems. Secondly, the existing equipment health monitoring mainly relies on manual inspections or simple status detection technologies. This method cannot timely warn of equipment failures or efficiency declines, and cannot achieve data-based predictive maintenance. The equipment's operating safety and maintenance efficiency are low. In addition, most of the existing environmental monitoring and management technologies rely on manual collection and regular reporting, and the real-time and accuracy of monitoring data are insufficient. Environmental protection reports cannot be automatically generated and submitted in real time, which easily leads to hidden dangers in environmental protection for enterprises. Moreover, the existing system lacks intelligent analysis functions and cannot automatically analyze and make decisions on environmental protection indicators and equipment operating status based on big data. In contrast, the present invention, by combining the Internet of Things and artificial intelligence technologies, not only solves the problems of information islands and equipment predictive maintenance, but also has significant advantages in the real-time and automation of environmental management, and achieves the technical effect of all-round intelligent water management. Summary of the invention

[0004] In view of the above-mentioned problems, the present invention is proposed.

[0005] Therefore, the technical problems solved by the present invention are: the existing water management methods have the problem of information islands, the equipment cannot be predictively maintained, the environmental data cannot be monitored and processed in real time, and how to achieve all-round intelligent water management based on the Internet of Things and artificial intelligence.

[0006] To solve the above technical problems, the present invention provides the following technical solutions: a smart water management method based on the Internet of Things and artificial intelligence, including collecting and transmitting first data based on a first device; monitoring equipment health status and intelligent diagnosis; and performing all-round environmental protection supervision and automated management based on the Internet of Things technology.

[0007] As a preferred solution of the smart water management method based on the Internet of Things and artificial intelligence described in the present invention, wherein: the first data collected based on the first device includes installing the first device, covering the entire water supply, drainage, and sewage treatment links;

[0008] Connect the first device to the wireless network.

[0009] As a preferred solution of the smart water management method based on the Internet of Things and artificial intelligence described in the present invention, wherein: the collection of first data based on the first device includes collecting the first data in real time through the first device, and transmitting the first data to the central control platform through a wireless network for processing.

[0010] As a preferred solution of the smart water management method based on the Internet of Things and artificial intelligence described in the present invention, wherein: the health status of the monitoring equipment and intelligent diagnosis include using artificial intelligence technology to perform health monitoring on various types of equipment in the water system;

[0011] Collect equipment operation data in real time, monitor the working status of equipment, and detect whether the equipment has faults or reduced efficiency.

[0012] As a preferred solution of the smart water management method based on the Internet of Things and artificial intelligence described in the present invention, wherein: the health status of the monitoring equipment and intelligent diagnosis include performing health analysis on the equipment in the water system through an artificial intelligence diagnostic tool;

[0013] Based on historical operating data and current equipment status, equipment failures are predicted, and maintenance plans are generated for inspections.

[0014] As a preferred solution of the smart water management method based on the Internet of Things and artificial intelligence described in the present invention, the all-round environmental protection supervision and automated management based on the Internet of Things technology includes using the Internet of Things technology to collect environmental protection data in the water system and monitor various emission indicators in the sewage treatment process.

[0015] As a preferred solution of the smart water management method based on the Internet of Things and artificial intelligence described in the present invention, wherein: the all-round environmental protection supervision and automated management based on the Internet of Things technology includes the system automatically analyzing the emission situation based on the collected environmental protection data and generating an environmental protection report;

[0016] At the same time, the system automatically submits the report.

[0017] Another object of the present invention is to provide a smart water management system based on the Internet of Things and artificial intelligence, which can interconnect various equipment and facilities in the smart water management system through sensors and collection equipment by utilizing the Internet of Things technology, thereby solving the problem of information islands in current water management methods.

[0018] As a preferred solution of the smart water management system based on the Internet of Things and artificial intelligence described in the present invention, it includes: a real-time data collection and processing module, an equipment health status monitoring and intelligent diagnosis module, and a comprehensive environmental protection supervision and automation management module; the real-time data collection and processing module is used to interconnect various data points in water production; the equipment health status monitoring and intelligent diagnosis module is used to analyze the data in real time and detect equipment failures; the comprehensive environmental protection supervision and automation management module is used to systematically manage sewage data.

[0019] A computer device includes a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement a step of a smart water management method based on the Internet of Things and artificial intelligence.

[0020] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of a smart water management method based on the Internet of Things and artificial intelligence.

[0021] Beneficial effects of the present invention: The smart water management method based on the Internet of Things and artificial intelligence provided by the present invention utilizes the Internet of Things technology to interconnect various equipment and facilities in the smart water management system through sensors and collection equipment, collect key data such as water source, water consumption, and sewage discharge in real time, improve the timeliness and accuracy of water management, and improve the efficiency and accuracy of equipment maintenance through the predictive maintenance model of AI, reduce the unplanned downtime of equipment, and thus improve the overall operation stability and efficiency of the system. The life of the equipment is extended, the maintenance cost is reduced, and the operation reliability of the system is greatly improved, avoiding problems such as water supply interruption caused by equipment failure, ensuring the stable operation of the water system, and through the mechanism of real-time monitoring and automatic reporting, the enterprise can ensure the compliance of sewage discharge operations and the transparency of environmental protection data, avoiding the economic and legal risks caused by environmental violations. The automated analysis and reporting function of the system reduces the labor cost and operation complexity of enterprises in environmental management, and at the same time, through instant compliance inspection, avoids potential environmental problems, and realizes all-round and no-dead-angle supervision of environmental protection work. The present invention achieves better results in management efficiency, cost and operation stability. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0023] Figure 1 An overall flow chart of a smart water management method based on the Internet of Things and artificial intelligence provided for the first embodiment of the present invention.

[0024] Figure 2 An overall architecture diagram of a smart water management method based on the Internet of Things and artificial intelligence provided for the second embodiment of the present invention.

[0025] Figure 3 An overall flow chart of a smart water management system based on the Internet of Things and artificial intelligence provided by the third embodiment of the present invention. DETAILED DESCRIPTION

[0026] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0027] Example 1, reference Figure 1 , is an embodiment of the present invention, and provides a smart water management method based on the Internet of Things and artificial intelligence, including:

[0028] Collecting and transmitting first data based on the first device;

[0029] Monitor equipment health status and intelligent diagnosis;

[0030] Carry out all-round environmental supervision and automated management based on Internet of Things technology.

[0031] Among them, the first device can be a flow sensor, a water quality monitoring sensor, a pressure sensor, a liquid level sensor, a temperature sensor, a humidity sensor, etc.; the first data includes water volume data, water quality data, pressure data, equipment operation data, environmental protection data, historical data, quota management data and alarm data.

[0032] Furthermore, collecting the first data based on the first device and transmitting it includes installing IoT sensors and smart devices in the water management system to cover the entire water supply, drainage, and sewage treatment process. It includes flow meters, pressure sensors, water quality monitors and other equipment, and connecting the equipment to the wireless network so that data can be transmitted to the central control system in real time. Through the installed sensors and monitoring equipment, various data such as water production, water use, and drainage are collected in real time, including water quality, flow, pressure, pollutant content, etc., and these data are transmitted to the central control platform through the wireless network for processing.

[0033] Example 2, reference Figure 2 , is an embodiment of the present invention, and provides a smart water management method based on the Internet of Things and artificial intelligence, including:

[0034] S1: Collecting and transmitting first data based on a first device.

[0035] Furthermore, IoT sensors and smart devices are installed in the water management system to cover the entire water supply, drainage and sewage treatment process, including flow meters, pressure sensors, water quality monitors and other equipment, and the equipment is connected to the wireless network so that data can be transmitted to the central control system in real time.

[0036] It should be noted that various data on water production, water use, and drainage, including water quality, flow, pressure, and pollutant content, are collected in real time through the installed sensors and monitoring equipment, and these data are transmitted to the central control platform for processing via the wireless network.

[0037] Furthermore, the combination of IoT sensors and smart devices with wireless networks ensures real-time data transmission. Flow meters, pressure sensors, water quality monitors and other equipment are standard water management system equipment. They cover water supply, drainage, sewage treatment and other links, and can obtain key data in water management in real time. The selection and layout of these devices determine the accuracy and breadth of data collection, and the application of IoT technology ensures that these devices can be seamlessly connected to the data platform to form a stable network.

[0038] During the installation and deployment process, rationally selecting the installation point of the equipment and connecting the equipment to the data platform through the Internet of Things technology can solve the problems of incomplete monitoring and data lag caused by "scattered data and manual monitoring" in the traditional water management system. Compared with traditional equipment, IoT devices can collect and transmit data in real time and efficiently, ensuring comprehensive control of the operating status of the water system. This step provides a basic guarantee for subsequent intelligent management by building a real-time data collection network.

[0039] It should be noted that the rationality of real-time data collection and wireless network transmission is reflected in the fact that the water management system needs to continuously and without delay monitor and feedback multi-dimensional data such as water quality, water quantity, pressure, etc. The application of wireless network not only improves the convenience of data transmission, but also ensures that the equipment can feedback data to the central control platform in real time under remote conditions, avoiding the limitations of cable transmission in traditional systems.

[0040] Real-time data collection through sensors and transmission through wireless networks solves the problems of "data lag" and "manual operation" in existing technologies. This step ensures the integrity and real-time nature of water system operation data, providing effective support for subsequent data analysis and decision-making. Especially in large areas, this wireless real-time transmission method can cover more data points, form an efficient data collection network, and improve the intelligent management level of the system.

[0041] S2: Monitor equipment health status and intelligent diagnosis.

[0042] Furthermore, artificial intelligence technology is used to monitor the health of various equipment in the water system, including the status of water pumps, pipes, valves, etc. The operation data of the equipment is collected in real time, the working status of the equipment is monitored, and whether there are any abnormalities in the equipment, such as failure or reduced efficiency.

[0043] It should be noted that AI-based diagnostic tools are used to analyze the health of key equipment in the water system. Based on historical operating data and current equipment status, possible equipment failures are predicted and maintenance plans are generated. Through intelligent diagnosis, the frequency of manual inspections is reduced and maintenance efficiency is improved.

[0044] Furthermore, it is highly reasonable to use artificial intelligence technology to monitor the health status of equipment in real time and detect anomalies. By collecting equipment operation data in real time and combining it with AI algorithms for analysis, it is not only possible to accurately identify abnormal equipment conditions, but also to provide early warning of possible failures. Compared with traditional manual inspections and regular maintenance, AI monitoring can provide real-time feedback on equipment status, greatly reducing the frequency of manual maintenance.

[0045] Real-time monitoring of equipment operation through AI algorithms solves the problem of "delayed detection of equipment failures" in traditional water systems. Compared with existing technologies, AI can analyze equipment operation data in real time, identify potential problems and provide early warnings, greatly improving the efficiency and accuracy of equipment maintenance. This intelligent monitoring and anomaly detection can effectively avoid the impact of equipment failures on the operation of the entire water system, and improve the overall stability and operating efficiency of the system.

[0046] It should be noted that AI diagnostic tools can predict the health of equipment based on historical data and current status, which is a standard practice in modern equipment maintenance. In water systems, the continuous operation of equipment is critical to the stability of the system, and intelligent diagnosis through AI tools can identify equipment failure trends in advance and generate maintenance plans.

[0047] Compared with traditional preventive maintenance, predictive maintenance is more targeted and efficient. Predictive maintenance recommendations generated by AI diagnostic tools can effectively reduce unnecessary equipment downtime and extend equipment life. This intelligent diagnostic technology not only improves maintenance efficiency, but also reduces system interruptions caused by unexpected downtime, ensuring the continued stable operation of the water system.

[0048] S3: Comprehensive environmental supervision and automated management based on IoT technology.

[0049] Furthermore, the Internet of Things technology is used to collect environmental data in the water system and monitor various emission indicators in the sewage treatment process, such as the pollutant content in the water, the quality of the discharged water, etc. All environmental data are connected to the national pollutant discharge permit system to ensure that the company's pollutant discharge behavior complies with regulations.

[0050] It should be noted that based on the collected environmental data, the system automatically analyzes the discharge situation and generates an environmental report. The report will list in detail the various indicators of the discharged water quality, the total amount of discharge, and whether it meets the environmental protection requirements. At the same time, the system will automatically submit the report to the relevant departments to achieve full automation of environmental protection supervision.

[0051] Furthermore, the real-time collection and monitoring of environmental data, especially the monitoring of emission indicators, meets the strict requirements of current environmental laws and regulations on corporate pollution discharge. The use of Internet of Things technology to connect environmental data with the pollution discharge permit system ensures that the company's pollution discharge behavior is always under supervision to prevent illegal emissions.

[0052] By collecting and monitoring environmental data in real time, this step solves the problem of data errors caused by delayed environmental supervision and manual operation in existing technologies. Real-time monitoring of IoT devices can ensure the continuity and accuracy of emission data, and companies can respond quickly to excessive emissions to avoid administrative penalties. In addition, transparent management of environmental data also makes companies more proactive and operational in environmental compliance.

[0053] It should be noted that by automatically analyzing environmental data and generating reports, manual errors can be significantly reduced and data can be ensured to comply with national standards. Environmental reports automatically generated by the system can be submitted to relevant regulatory authorities on a regular basis, avoiding the risk of delays or inaccurate data that may occur when manually generating reports.

[0054] Automated analysis and report generation reduces manual workload, improves the accuracy and efficiency of reports, and ensures that companies always meet government requirements in terms of environmental compliance. Compared with traditional manual data collation and report generation, the automated system significantly shortens working time, while enhancing the traceability of the system and effectively avoiding environmental risks.

[0055] Example 2, an embodiment of the present invention, provides a smart water management method based on the Internet of Things and artificial intelligence. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiments.

[0056] First, in order to verify the innovation and effectiveness of the water management method, a comprehensive monitoring experiment of the water system was implemented. This experiment involves multiple core steps, including data collection, equipment monitoring, intelligent diagnosis and environmental supervision. The experimental scenario was selected in a medium-sized sewage treatment plant, which has water supply, drainage and sewage treatment systems. A total of six key monitoring objects were selected for the experiment, namely: water flow sensor, water quality sensor, pressure sensor, water pump health monitoring, AI intelligent diagnosis and environmental monitoring equipment.

[0057] First, flow meters, water quality monitors and pressure sensors were installed in the sewage treatment system. These devices are connected to the central control platform through the Internet of Things technology, collecting data in real time and transmitting it to the platform for processing. The water flow sensor is responsible for monitoring the real-time changes in the water flow, the pressure sensor monitors the pressure level in the water pipe, and the water quality sensor records water quality parameters such as the pH value of the water, ensuring that key data in the water supply and sewage treatment process are complete and visible.

[0058] Next, the operating status of the water pump was monitored. The water pump health monitoring equipment collected the water pump efficiency data, and the artificial intelligence tool was used for real-time diagnosis to detect the water pump's operating efficiency and fault prediction. Combined with historical operating data, the AI ​​tool predicted possible water pump failures and generated a maintenance plan.

[0059] Finally, an environmental monitoring system based on the Internet of Things technology was deployed to collect emission indicators in the sewage treatment process in real time and generate automated reports through big data analysis. These environmental data are connected to the national pollutant discharge permit system to ensure that all emissions meet environmental standards. Once it is detected that the pollutant discharge exceeds the standard, the system will immediately issue an alarm to remind the operator to take emergency measures.

[0060] Table 1 Experimental data table

[0061]

[0062] The above experimental data clearly show the innovation and advantages of the invention in water management. First, the data of the water flow sensor shows that the real-time monitored water flow is 120m 3 / h, and the water quality sensor provides a pH value of 7.2. These data are automatically transmitted to the central platform to ensure the integrity and real-time nature of the data. Compared with the traditional manual recording and regular monitoring methods, the invented IoT sensor realizes full automation of data collection, significantly improves efficiency, and avoids delays or errors caused by human factors.

[0063] In terms of equipment operating status monitoring, the operating efficiency of the water pump reached 95%, and the AI ​​intelligent diagnostic tool provided a 98% fault prediction accuracy rate. This shows that the AI ​​diagnostic tool in the present invention can identify potential equipment problems in advance through historical data and real-time monitoring data, effectively reducing the risk of unexpected downtime. Compared with traditional preventive maintenance, predictive maintenance not only saves unnecessary maintenance time, but also extends the service life of the equipment.

[0064] In terms of environmental supervision, the pH value of the discharged water quality data collected by the environmental monitoring equipment was 6.9, the discharge pressure was 2.1 bar, and the environmental compliance rate of the system reached 99%. This shows that the present invention can monitor emissions in real time through Internet of Things technology and big data analysis, and issue early warnings in time when the emission standards are exceeded to prevent environmental pollution. Compared with the existing manual monitoring methods, this system greatly improves the transparency and timeliness of environmental supervision and reduces the risk of enterprises being punished for non-compliance with emission standards.

[0065] By comparing the experimental data, it can be proved that the invention has significant advantages in the comprehensive automation of water management, accurate prediction of equipment operation, and real-time monitoring of environmental data, solving the problems of cumbersome manual operation, delayed monitoring, and difficult to predict failures in the existing technology. The innovation of the system is reflected in the deep integration of the Internet of Things and AI technology, making the entire water management process more intelligent, data-based, and highly stable and reliable.

[0066] Example 3, reference Figure 3 , which is an embodiment of the present invention, provides a smart water management system based on the Internet of Things and artificial intelligence, including a real-time data collection and processing module, an equipment health status monitoring and intelligent diagnosis module, and a comprehensive environmental protection supervision and automation management module.

[0067] The real-time data collection and processing module is used to interconnect various data points in water production, the equipment health status monitoring and intelligent diagnosis module is used to analyze the data in real time and detect equipment failures, and the comprehensive environmental protection supervision and automation management module is used to systematically manage sewage data.

[0068] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0069] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0070] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering, or processing in another suitable manner as necessary, and then stored in a computer memory.

[0071] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc. It should be noted that the above embodiments are only used to illustrate the technical solution of the present invention and are not limited. Although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention, which should be included in the scope of the claims of the present invention.

[0072] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A water management method, characterized in that: include: Collecting first data based on the first device and transmitting the first data; Monitor equipment health status and intelligent diagnosis; Carry out all-round environmental supervision and automated management based on Internet of Things technology.

2. The water management method according to claim 1, characterized in that: The collecting of the first data based on the first device includes installing the first device, covering the entire water supply, drainage, and sewage treatment process; Connect the first device to the wireless network.

3. The water management method according to claim 2, characterized in that: The collecting of the first data based on the first device includes collecting the first data in real time through the first device, and transmitting the first data to the central control platform through a wireless network for processing.

4. The water management method according to claim 3, characterized in that: The monitoring equipment health status and intelligent diagnosis include using artificial intelligence technology to perform health monitoring on various equipment in the water system; Collect equipment operation data in real time, monitor the working status of equipment, and detect whether the equipment has faults or reduced efficiency.

5. The water management method according to claim 4, characterized in that: The monitoring equipment health status and intelligent diagnosis include performing health analysis on equipment in the water system through artificial intelligence diagnostic tools; Based on historical operating data and current equipment status, equipment failures are predicted, and maintenance plans are generated for inspections.

6. The water management method according to claim 5, characterized in that: The all-round environmental protection supervision and automated management based on Internet of Things technology includes using Internet of Things technology to collect environmental protection data in the water system and monitor various emission indicators in the sewage treatment process.

7. The water management method according to claim 6, characterized in that: The all-round environmental supervision and automated management based on the Internet of Things technology includes the system automatically analyzing the emission situation and generating an environmental report based on the collected environmental data; At the same time, the system automatically submits the report.

8. A system using the water management method according to any one of claims 1 to 7, characterized in that: It includes real-time data collection and processing modules, equipment health status monitoring and intelligent diagnosis modules, and comprehensive environmental protection supervision and automation management modules; The real-time data collection and processing module is used to interconnect various data points in water production; The equipment health status monitoring and intelligent diagnosis module is used to analyze data in real time and detect equipment failures; The comprehensive environmental monitoring and automation management module is used to systematically manage pollution data.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the water management method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the water management method according to any one of claims 1 to 7 are implemented.

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