Intelligent water quality control method and system

Abstract

The invention belongs to the technical field of water affair management, and particularly relates to an intelligent water quality control method and system, and the system comprises a sensor, a data transmission module, a database, a data processing module and an instruction issuing module. According to the intelligent water quality control method, the water quality data, the equipment operation information and the water production process parameter information are monitored in real time in the water production process by constructing the water production regulation and control intelligent model; the normal water production information and the early warning information are integrated by constructing a visual platform, and the normal water production information and the early warning information are sent to an operator so as to execute water production monitoring operation. According to the water quality intelligent control method and system, operation of a water supply plant station can be managed more efficiently, timely and accurate alarming can be achieved, false alarm is avoided, water quality pollution is prevented, water supply efficiency and water supply safety are improved, and the water quality intelligent control method and system have good market application prospects.

Description

Technical Field

[0001] The present invention belongs to the technical field of water management, and specifically relates to a water quality intelligent control method and system. Background Art

[0002] With the increase in urbanization, the city's water supply network has become complex, water users are widely and scattered geographically, the water quality is difficult to control, and traditional water quality control methods are no longer sufficient to meet the growing water demand. The problem of water pollution has become increasingly prominent.

[0003] This situation highlights the limitations of water quality control and the urgency of improving intelligence, especially the water supply industry needs to ensure water safety and timely water supply. In order to solve the above problems, this application provides a water quality intelligent control method and system to achieve more efficient management of the operation of water supply plants, timely and accurate alarms, avoid false alarms, prevent water pollution, and improve water supply efficiency and safety.

[0004] The information disclosed in this background technology section is only intended to enhance the understanding of the overall background of the invention and should not be regarded as an acknowledgment or any form of suggestion that the information constitutes the prior art already known to a person skilled in the art. Summary of the invention

[0005] The purpose of the present invention is to provide a water quality intelligent control method and system to solve the problem that water quality of water supply is difficult to control and water pollution is becoming increasingly prominent.

[0006] In order to achieve the above object, the present invention provides the following technical solutions:

[0007] A water quality intelligent control method comprises the following steps:

[0008] S1. Obtain water quality data from all links of water supply, perform parameter anomaly analysis on the water quality data, and obtain water quality parameter analysis data; use preset standard water quality parameter thresholds to mark the water quality parameter analysis data and generate water quality exceeding standard data;

[0009] S2. Obtaining the operation information of the water plant's water production equipment, performing parameter abnormality analysis on the equipment operation information, and obtaining equipment operation analysis data; marking the equipment operation analysis data using a preset standard equipment operation parameter threshold, and generating equipment operation abnormality data;

[0010] S3, integrating abnormal data of equipment operation and data of water quality exceeding the standard to generate abnormal exceeding standard data;

[0011] S4, obtaining water production process parameter information, and performing process adjustment analysis on the water production process parameter information in combination with abnormal exceeding standard data to obtain process analysis data;

[0012] S5. Perform intelligent water production control on the process analysis data and abnormal exceeding standard data to generate water production control data; construct an intelligent water production control model based on the water production control data to obtain an intelligent water production control model;

[0013] S6. Perform real-time monitoring of the water production process based on the water quality data, equipment operation information and water production process parameter information according to the water production control intelligent model, and generate a normal water production information monitoring report; perform early warning analysis on the normal water production information monitoring report to obtain early warning information;

[0014] S7. By building a visualization platform to integrate normal water production information and warning information, a real-time water production monitoring visualization platform is obtained; the platform sends the normal water production information and warning information to the operating personnel to perform water production monitoring operations.

[0015] Preferably, the water quality data of each link of water supply collected in S1 is turbidity; the abnormal exceeding standard data generated in S3 include: the type of equipment operation abnormality, the type of water quality exceeding standard and the duration of the abnormality.

[0016] Preferably, the specific steps of obtaining the process analysis data in S3 include:

[0017] S31, generating water production process-water quality parameter visualization data by analyzing water production process and water quality parameters;

[0018] S32, using the water production process-water quality parameter visualization data to evaluate the water production process impact on the water production process parameters, and generate water production process impact data;

[0019] S33. Perform process adjustment analysis on the water production process impact data, equipment operation abnormality data and water quality exceeding standard data to obtain process analysis data.

[0020] A water quality intelligent control system, comprising:

[0021] Sensors are used to collect water quality data, equipment operation information, and water production process parameter information, and perform analog-to-digital conversion to convert analog signals into digital signals;

[0022] Data transmission module, used to transmit the digital signal generated by the sensor to the database via NB-IOT;

[0023] Database, used to store and send and receive data that various modules need to retrieve and process;

[0024] The data processing module retrieves the collected water quality data, equipment operation information, and water production process parameter information from the database, makes judgments based on the preset standard water quality parameter thresholds and standard equipment operation parameter thresholds, and marks the water quality exceeding standard data and equipment operation abnormality data; integrates the abnormal equipment operation data and water quality exceeding standard data to generate abnormal exceeding standard data; performs process adjustment analysis on the water production process parameter information based on the abnormal exceeding standard data to obtain process analysis data; sends intelligent water production control instructions to the instruction sending module to generate water production control data;

[0025] The instruction issuing module is used to perform intelligent water production control on process analysis data and abnormal exceeding standard data.

[0026] Compared with the prior art, the present invention has the following beneficial effects:

[0027] (1) The intelligent water quality control method of the present invention can effectively prevent excessive water quality from leaving the factory by setting water quality parameter thresholds; in-depth analysis of abnormal situations enables the operation team to quickly respond to equipment failures and water quality problems, optimize maintenance strategies and improve water production processes, which is conducive to improving the stability and efficiency of water production.

[0028] (2) The intelligent water quality control system of the present invention forms a database by acquiring a large amount of water quality data, providing a solid data foundation for subsequent quality control and process optimization; preprocessing the water quality data can significantly improve the accuracy and consistency of the water quality data, reduce the deviation caused by different data sources and influencing factors, improve the efficiency of water quality detection, and provide intuitive decision-making support for operation and management personnel, which helps to timely discover and solve water quality problems. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 is a schematic diagram of system module connection of the present invention;

[0030] Figure 2 and Figure 3 It is a schematic flow chart of the method of the present invention. DETAILED DESCRIPTION

[0031] The following is a clear and complete description of the technical solution of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by technicians in this field without creative work are within the scope of protection of the present invention.

[0032] See attached Figure 2-3 , a water quality intelligent control method, comprising the following steps:

[0033] S1. The sensor obtains water quality data (turbidity) of each link of water supply, and converts it into digital signals and transmits it to the data transmission module; the data processing module performs parameter abnormality analysis on the water quality data, obtains water quality parameter analysis data, and determines whether the conditions are met to reach the preset standard water quality parameter threshold; if so, it is marked as water quality exceeding the standard data;

[0034] S2. The sensor obtains the operation information of the water plant's water-making equipment and converts it into a digital signal and transmits it to the data transmission module; the data processing module performs parameter abnormality analysis on the equipment operation information, obtains equipment operation analysis data, and determines whether the conditions are met to reach the preset standard equipment operation parameter threshold; if so, it is marked as equipment operation abnormality data;

[0035] S3, the data processing module integrates the abnormal situation of equipment operation data and water quality exceeding standard data to generate abnormal exceeding standard data;

[0036] S4, the sensor obtains water production process parameter information, converts it into digital signals and transmits it to the data transmission module; the data processing module performs process adjustment analysis on the water production process parameter information in combination with the abnormal exceeding standard data to obtain process analysis data;

[0037] S5. The instruction issuing module performs intelligent water production control on the process analysis data and the abnormal exceeding standard data to generate water production control data; constructs an intelligent water production control model based on the water production control data to obtain an intelligent water production control model;

[0038] S6. Perform real-time monitoring of the water production process based on the water quality data, equipment operation information and water production process parameter information according to the water production control intelligent model, and generate a normal water production information monitoring report; perform early warning analysis on the normal water production information monitoring report to obtain early warning information;

[0039] S7. By building a visualization platform to integrate normal water production information and warning information, a real-time water production monitoring visualization platform is obtained; the platform sends the normal water production information and warning information to the operating personnel to perform water production monitoring operations.

[0040] The intelligent water quality control method of the present invention effectively prevents excessive water quality from leaving the factory by setting a water quality parameter (turbidity) threshold; obtains equipment operation information through sensors, extracts data of equipment operation information, so that the operating status of the equipment can be evaluated in a quantitative manner, providing real-time data support for subsequent analysis; makes abnormal judgments on equipment operation work data, can timely discover abnormal conditions in equipment operation, and generate equipment operation abnormality data, integrates equipment operation abnormality data and water quality (turbidity) excessive data for abnormal conditions, and generates abnormal excessive data, which includes not only the abnormal type of equipment and the type of water quality excessive, but also the duration of the abnormality, thereby providing a more comprehensive abnormal situation perspective, enabling the operation team to quickly respond to equipment failures and water quality problems, and reduce the occurrence of water production interruptions and water quality accidents; at the same time, in-depth analysis of abnormal conditions can optimize maintenance strategies and improve water production processes, thereby improving the stability and efficiency of water production.

[0041] On the other hand, the present invention analyzes the water production process and water quality parameters (turbidity) through process parameter information, generates water production process-water quality data (turbidity) visualization data, uses the water production process-water quality data (turbidity) visualization data to evaluate the impact of water production process parameters on the water production process, generates water production process impact data, and sends responsive intelligent water production control instructions to the process equipment, which is beneficial to improving the quality and efficiency of water production.

[0042] See attached Figure 1 The present invention constructs a water quality intelligent control system, including: a sensor, a data transmission module, a database, a data processing module and an instruction issuing module; wherein,

[0043] The sensor sets a timing task to collect water quality data (turbidity), equipment operation information, and water production process parameter information, and performs analog-to-digital conversion to convert analog signals into digital signals.

[0044] The data transmission module transmits the digital signals generated by the sensor to the database through NB-IOT; the database standardizes and stores the collected data, and sends and receives the required data to each module.

[0045] The operation process of the data processing module is as follows:

[0046] The collected water quality data (turbidity), equipment operation information, and water production process parameter information are retrieved through the database; if the water quality data (turbidity) reaches the preset standard water quality parameter threshold, it is marked as water quality exceeding standard data; if the equipment operation information reaches the preset standard equipment operation parameter threshold, it is marked as equipment operation abnormality data; the abnormal situation integration of equipment operation abnormality data and water quality exceeding standard data is performed to generate abnormal exceeding standard data, wherein the abnormal situation integration includes the type of equipment operation abnormality, the type of water quality exceeding standard, and the duration of the abnormality; the process adjustment analysis of the water production process parameter information is performed, and the water production process and water quality parameter (turbidity) visualization data are generated through the analysis of the water production process and water quality parameters (turbidity), and the water production process impact assessment of the water production process parameters is performed using the water production process-water quality parameter (turbidity) visualization data to generate water production process impact data; the process adjustment analysis of the water production process impact data, equipment operation abnormality data, and water quality exceeding standard data is performed to obtain process analysis data; the intelligent water production control command is issued to the command issuing module to generate water production control data.

[0047] The instruction issuing module performs intelligent water production control on process analysis data and abnormal exceeding standard data, and issues control instructions to corresponding equipment.

[0048] The water quality intelligent control system of the present invention forms a database by acquiring a large amount of data, which provides a solid data foundation for subsequent quality control and process optimization; preprocessing of water quality data can significantly improve the accuracy and consistency of water quality data, reduce the deviation caused by different data sources and influencing factors, improve the efficiency of water quality detection, provide intuitive decision-making support for operation and management personnel, and help to timely discover and solve water quality problems; through parameter anomaly analysis of water quality data and marking with preset water quality parameter thresholds, it can timely discover and mark water quality data that does not meet the standards, thereby avoiding the shipment of water with excessive quality, reducing water production risks and costs; the generated water quality exceeding standard data provides a direct reference for subsequent water quality control and process optimization, and enhances the transparency and predictability of the water production process; abnormal exceeding standard data realizes real-time monitoring of equipment status by acquiring water production equipment operation information, performs abnormality detection on equipment operation information, and generates equipment The abnormal operation data of the equipment can timely discover and mark the abnormal conditions in the operation of the equipment, which helps to prevent water production interruptions and equipment failures, reduce downtime and maintenance costs; the abnormal conditions of the equipment operation abnormal data and the water quality exceeding standard data are integrated to generate abnormal exceeding standard data, which provides abnormal exceeding standard data for the water production process; by obtaining the process parameter information, the accuracy of the process of the water production process can be mastered, providing a data basis for subsequent process optimization; the process parameter information is analyzed for process adjustment to obtain process analysis data to ensure that the water production process can be dynamically adjusted according to real-time feedback, thereby improving water production efficiency and water quality; combining process analysis data and abnormal exceeding standard data for intelligent water production control, it can respond to various changes in water production in a timely manner and generate water production control data; based on the water production control data, an intelligent model for water production regulation is constructed to obtain an intelligent model for water production regulation, which provides scientific and systematic decision-making support for the water production process, making water production regulation more accurate and efficient.

[0049] The system of the present invention also includes a real-time monitoring module. The real-time monitoring module monitors the water production process in real time by applying an intelligent water production control model to water quality data, equipment operation information and process parameter information, thereby ensuring the continuity of water production activities. The real-time water production monitoring report is generated to provide the operation team with immediate water production status feedback, so that water production problems can be quickly identified and responded to; early warning analysis is performed on the real-time water production monitoring report to obtain early warning information, which can inform the operation team of water production risks so that measures can be taken to reduce production interruptions and quality accidents; at the same time, normal water production data of the real-time water production monitoring report is extracted to obtain normal water production information, which helps the operation team to know the current water production information, thereby optimizing the water production process and improving efficiency.

[0050] The system of the present invention also includes a visualization module. By constructing a real-time water production monitoring visualization platform, the visualization module can significantly improve the intuitiveness and convenience of water production monitoring, so that the operation team can intuitively obtain complex water production data and status through a visualization interface, thereby making decisions more quickly. Based on the real-time water production monitoring visualization platform, early warning information and normal water production information are sent to the equipment designated by the operation team, ensuring the timeliness and accuracy of information transmission and enhancing the operation team's ability to control the water production process. Therefore, the present invention uses the Internet of Things technology, machine learning technology, intelligent control technology and visualization technology to achieve real-time monitoring and early warning of the water production process, reducing the risk of water production interruption; and intelligent water production control is performed on the water production process to enhance flexibility and adaptability.

[0051] The foregoing description of specific exemplary embodiments of the present invention is for the purpose of illustration and demonstration. These descriptions are not intended to limit the present invention to the precise form disclosed, and it is clear that many changes and variations can be made based on the above teachings. The purpose of selecting and describing the exemplary embodiments is to explain the specific principles of the present invention and its practical application, so that those skilled in the art can realize and utilize various different exemplary embodiments of the present invention and various different selections and changes. The scope of the present invention is intended to be limited by the claims and their equivalents.

Claims

1. A water quality intelligent control method, characterized in that: The following steps are involved: S1. Obtain water quality data from all links of water supply, perform parameter anomaly analysis on the water quality data, and obtain water quality parameter analysis data; use preset standard water quality parameter thresholds to mark the water quality parameter analysis data and generate water quality exceeding standard data; S2. Obtaining the operation information of the water plant's water production equipment, performing parameter abnormality analysis on the equipment operation information, and obtaining equipment operation analysis data; marking the equipment operation analysis data using a preset standard equipment operation parameter threshold, and generating equipment operation abnormality data; S3, integrating abnormal data of equipment operation and data of water quality exceeding the standard to generate abnormal exceeding standard data; S4, obtaining water production process parameter information, and performing process adjustment analysis on the water production process parameter information in combination with abnormal exceeding standard data to obtain process analysis data; S5. Perform intelligent water production control on process analysis data and abnormal exceeding standard data to generate water production control data; The water production control intelligent model is constructed according to the water production control data to obtain the water production control intelligent model; S6. Monitor the water quality data, equipment operation information and water production process parameter information in real time according to the water production control intelligent model, and generate a normal water production information monitoring report; Conduct early warning analysis on normal water production information monitoring reports to obtain early warning information; S7, integrating normal water production information and early warning information by building a visualization platform to obtain a real-time water production monitoring visualization platform; The platform sends normal water production information and warning information to operators to perform water production monitoring operations.

2. The water quality intelligent control method according to claim 1, characterized in that: The water quality data collected in S1 for each link of water supply is turbidity; the abnormal exceeding standard data generated in S3 include: type of equipment operation abnormality, type of water quality exceeding standard and duration of abnormality.

3. The water quality intelligent control method according to claim 1, characterized in that: The specific steps of obtaining process analysis data in S3 include: S31, generating water production process-water quality parameter visualization data by analyzing water production process and water quality parameters; S32, using the water production process-water quality parameter visualization data to evaluate the water production process impact on the water production process parameters, and generate water production process impact data; S33. Perform process adjustment analysis on the water production process impact data, equipment operation abnormality data and water quality exceeding standard data to obtain process analysis data.

4. A water quality intelligent control system, characterized in that: include: Sensors are used to collect water quality data, equipment operation information, and water production process parameter information, and perform analog-to-digital conversion to convert analog signals into digital signals; Data transmission module, used to transmit the digital signal generated by the sensor to the database via NB-IOT; Database, used to store and send and receive data that various modules need to retrieve and process; The data processing module retrieves the collected water quality data, equipment operation information, and water production process parameter information from the database, makes judgments based on the preset standard water quality parameter thresholds and standard equipment operation parameter thresholds, and marks the water quality exceeding the standard data and the equipment operation abnormality data; Integrate abnormal data of equipment operation and data of water quality exceeding the standard to generate abnormal exceeding standard data; Combine the abnormal exceeding standard data to conduct process adjustment analysis on water production process parameter information to obtain process analysis data; Send intelligent water production control instructions to the instruction issuing module to generate water production control data; The instruction issuing module is used to perform intelligent water production control on process analysis data and abnormal exceeding standard data.

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