Return water treatment method and device for recycling drained water in drinking water production

Abstract

The invention provides a return water treatment method and device for recycling drained water in drinking water production, the method is executed by a return water treatment system, the return water treatment system comprises a return water treatment equipment group and a control equipment group, and the return water treatment equipment group at least comprises a recovery water tank, an ultraviolet decomposition device, fine filtration equipment, membrane filtration equipment and an ozone sterilization device. The control equipment group at least comprises water quality detection equipment, data processing equipment, control equipment and mobile equipment; water quality data and monitoring data of the running state of a backwater treatment equipment group are acquired; the water quality data and the monitoring data are analyzed, and the operation state of the backwater treatment equipment group is regulated and controlled, so that the treated water meets regulation and control parameters of set use requirements; and controlling the operation action of the backwater treatment equipment group according to the regulation and control parameters. The embodiment of the invention aims at improving the utilization rate of water and improving the intelligence, reliability and efficiency of the backwater treatment equipment group by means of the intelligent control system.

Description

Technical Field

[0001] The present application relates to the field of intelligent control technology, and in particular to a return water treatment method, device, electronic equipment and storage medium for recycling drainage water from drinking water production. Background Art

[0002] In the process of drinking water production, the recycling of wastewater has always been an important issue in the industry. Traditional drinking water production wastewater recycling and treatment technology has many drawbacks.

[0003] Existing return water treatment devices often have a simple structure and lack systematic integration. Each treatment link is relatively independent and cannot work together efficiently. For example, some treatment equipment simply performs physical filtration, which is not effective in removing complex organic matter, microorganisms and other pollutants in the water. As a result, the treated water quality is difficult to meet high usage standards and cannot meet diverse water needs, limiting the application scope of recycled water. Moreover, traditional technologies lack accurate water quality monitoring and control methods. During the treatment process, it is impossible to obtain water quality data and equipment operating status information in real time and accurately, and it is impossible to adjust the treatment process and parameters in time according to actual conditions, making the treatment process relatively blind and prone to waste of resources and inadequate treatment.

[0004] In addition, the traditional return water treatment system has a low level of intelligence and relies on manual operation and experience judgment. It is not only inefficient, but also prone to unstable equipment operation due to human errors, affecting the reliability and sustainability of the overall return water treatment, increasing operating costs and maintenance difficulties, and making it difficult to achieve efficient, stable and intelligent recycling of drinking water production and drainage, and unable to meet the growing demand for efficient utilization of water resources.

[0005] Based on this, it is necessary to provide a new return water treatment solution for drinking water production drainage recycling, aiming to effectively solve the defects of the above-mentioned existing technologies by optimizing the system architecture and introducing intelligent control, and improve the water utilization rate and the comprehensive performance of the treatment system. Summary of the invention

[0006] The purpose of this application is to provide a return water treatment method, device, electronic equipment and storage medium for recycling drinking water production drainage, which has the advantages of improving water resource utilization efficiency, optimizing treatment processes and realizing intelligent control.

[0007] The present application provides a method for treating backwater for recycling drainage water from drinking water production, and the technical scheme is as follows: the method is executed by a backwater treatment system, the backwater treatment system includes a backwater treatment equipment group and a control equipment group, the backwater treatment equipment group includes at least a recovery pool, an ultraviolet decomposition device, a fine filtration device, a membrane filtration device, and an ozone sterilization device, the control equipment group includes at least a water quality detection device, a data processing device, a control device, and a mobile device; the backwater treatment method includes at least the following steps: the water quality data reported by the water quality detection device and the monitoring data of the operating status of the backwater treatment equipment group can be obtained through the data processing device, and the backwater treatment equipment group can be monitored. The water quality data and the monitoring data are analyzed to obtain control parameters that can regulate the operating status of the return water treatment equipment group so that the treated water meets the set usage requirements; the water quality data, monitoring data, and control parameters sent by the data processing device can be synchronously received by the control device or the mobile device, and corresponding control instructions are generated according to the control parameters and sent to the water treatment equipment group, so that the water treatment equipment group performs operating actions according to the control instructions; wherein, under the condition that the control device or the mobile device is equipped with a display, the water quality data and the monitoring data can be dynamically displayed in the form of visual charts.

[0008] Furthermore, before dynamically displaying the water quality data and the monitoring data in the form of visual charts, it also includes: identifying and eliminating abnormal values ​​in the water quality data and the monitoring data, and performing data calibration and data conversion on the water quality data and the monitoring data after eliminating the abnormal values ​​in turn.

[0009] Furthermore, the water quality data and the monitoring data are dynamically displayed in the form of visual charts, including: presetting a gif module, and generating x-axis and y-axis data by calling a random module and a list derivation; initializing a matplotlib plug-in of the gif module, and presetting a frame rate of a dynamic image and a function of a visual chart; generating a plurality of different scatter plots by calling the function, and saving the scatter plots to obtain corresponding dynamic visual charts.

[0010] Furthermore, after dynamically displaying the water quality data and the monitoring data in the form of visual charts, it also includes: judging whether the water quality data and the monitoring data meet preset warning conditions; if the preset warning conditions are met, automatically triggering warning information, and analyzing the warning information to determine the cause and location of the abnormality; and automatically generating a corresponding maintenance strategy based on the cause and location of the abnormality.

[0011] Furthermore, after the warning information is automatically triggered, it also includes: reminding the operator of the warning information through sound, light, text message, WeChat and email.

[0012] Furthermore, after the corresponding maintenance strategy is automatically generated based on the abnormal cause and the abnormal position, the method further includes: generating a corresponding maintenance work order based on the maintenance strategy, and allocating the maintenance work order to an operator.

[0013] Furthermore, the present application also proposes a return water treatment device for recycling drinking water production drainage, which is used to execute the above-mentioned return water treatment method, including a data acquisition module, used to obtain the water quality data reported by the water quality detection equipment, and the monitoring data of the operating status of the return water treatment equipment group; a data analysis module, used to analyze the water quality data and the monitoring data to obtain the control parameters that can regulate the operating status of the return water treatment equipment group so that the treated water meets the set usage requirements; a control module, used to generate corresponding control instructions according to the control parameters and send them to the water treatment equipment group, so that the water treatment equipment group performs the operating action according to the control instructions, and dynamically displays the water quality data and the monitoring data in the form of visual charts.

[0014] Furthermore, the control module is used to preset the gif module, and generate x-axis and y-axis data by calling the random module and list derivation; initialize the matplotlib plug-in of the gif module, and preset the frame rate of the dynamic image and the function of the visualization chart; generate multiple different scatter plots by calling the function, and save the scatter plots to obtain corresponding dynamic visualization charts.

[0015] Furthermore, the present application also proposes an electronic device, which includes a memory and a processor, wherein the memory stores a computer program, and the processor implements the above-mentioned backwater processing method when executing the computer program.

[0016] Furthermore, the present application also proposes a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the above-mentioned return water processing method is implemented.

[0017] From the above, it can be seen that the present application provides a return water treatment method, device, electronic device and storage medium for recycling drinking water production drainage. The return water treatment method is executed through a return water treatment system. The system includes a return water treatment equipment group and a control equipment group. Water quality data and monitoring data are obtained through data processing equipment, and control parameters are obtained through analysis. Control instructions are generated according to the control parameters through control equipment or mobile equipment to realize intelligent control of the return water treatment equipment group. At the same time, water quality data and monitoring data can be dynamically displayed in the form of visual charts, thereby effectively solving the problems of low processing efficiency, lack of precise monitoring and regulation, and low degree of intelligence existing in traditional technologies. It has the advantages of improving water resource utilization efficiency, optimizing processing procedures, and realizing intelligent control. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a schematic flow chart of the return water treatment method provided in the embodiment of the present application;

[0019] Figure 2 It is a structural schematic diagram of a return water treatment device provided in an embodiment of the present application;

[0020] Figure 3 It is a schematic diagram of the hardware structure of the electronic device provided in the embodiment of the present application. DETAILED DESCRIPTION

[0021] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0022] It should be noted that, although the functional modules are divided in the device schematic diagram and the logical order is shown in the flowchart, in some cases, the steps shown or described may be performed in a different order than the module division in the device or the order in the flowchart. The terms "first", "second", etc. in the specification, claims and the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence.

[0023] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used herein are only for the purpose of describing the embodiments of this application and are not intended to limit this application.

[0024] In the process of drinking water production, the recycling of drainage has always been an important issue of concern in the industry. Traditional drinking water production drainage recycling and treatment technology has many disadvantages. Existing backwater treatment devices often have a single structure, lack of systematic integration, and each treatment link is relatively independent and cannot work together efficiently. For example, some treatment equipment only performs physical filtration, which is not effective in removing complex organic matter, microorganisms and other pollutants in the water, resulting in the water quality after treatment being difficult to reach a high standard of use, unable to meet the diverse water demand, and limiting the application scope of recycled water. Moreover, traditional technologies lack accurate water quality monitoring and control means. During the treatment process, it is impossible to obtain water quality data and equipment operation status information in real time and accurately, and it is impossible to adjust the treatment process and parameters in time according to the actual situation, making the treatment process relatively blind, which is prone to waste of resources and insufficient treatment. In addition, the traditional backwater treatment system has a low degree of intelligence and relies on manual operation and experience judgment. It is not only inefficient, but also prone to unstable equipment operation due to human errors, affecting the reliability and sustainability of the overall backwater treatment, increasing the operating cost and maintenance difficulty, and it is difficult to achieve efficient, stable and intelligent recycling of drinking water production drainage, and unable to meet the growing demand for efficient utilization of water resources.

[0025] In order to solve the above problems, the present application proposes a backwater treatment method for recycling drinking water production drainage. The method is executed by a backwater treatment system, which includes a backwater treatment equipment group and a control equipment group. The backwater treatment equipment group includes at least a recovery pool, an ultraviolet decomposition device, a fine filtration device, a membrane filtration device, and an ozone sterilization device. The control equipment group includes at least water quality detection equipment, data processing equipment, control equipment, and mobile equipment.

[0026] In this embodiment:

[0027] Recycling pool: As the starting storage unit of the entire backwater treatment process, it is used to collect drainage generated in the drinking water production process, temporarily store these wastewaters, and provide a stable water source for subsequent treatment processes. Its capacity is determined according to the production scale and drainage conditions to ensure that it can accommodate the amount of wastewater generated within a certain period of time. At the same time, it has basic functions such as leakage prevention and pollution prevention to ensure that the water quality of recycled water will not deteriorate before entering the subsequent treatment link.

[0028] Ultraviolet decomposition device: The water discharged from filling machines, oxidation water tanks, etc. contains ozone. Through the ultraviolet decomposition device, ozone absorbs ultraviolet rays, decomposes into oxygen molecules and oxygen atoms, and escapes into the air and is discharged, so that the water no longer contains ozone. This is to protect the subsequent equipment processing process from the oxidation of ozone on the equipment and filter element. At the same time, the radiation energy of ultraviolet rays is used to decompose and inactivate organic matter, microorganisms, etc. in the recycled water. Ultraviolet rays can destroy the DNA structure of microorganisms, prevent their reproduction and growth, thereby effectively reducing the content of bacteria, viruses and other microorganisms in the water. At the same time, for some simple organic compounds, they can also be decomposed into harmless small molecules through photochemical reactions, improve the purity and safety of water, and reduce the risk of biological contamination in subsequent treatment.

[0029] Fine filtration equipment: usually uses high-precision filter media, such as stainless steel, activated carbon, PP cotton, ceramics, etc., to further filter the water after UV decomposition. These filter media can remove impurities such as fine particles, suspended matter, colloids, etc. in the water, further improve the clarity and transparency of the water, reduce turbidity, prevent these impurities from clogging subsequent membrane filtration equipment, extend the service life of the membrane, and ensure the stable operation of the entire treatment system.

[0030] Membrane filtration equipment: generally uses advanced membrane separation technologies such as ultrafiltration membrane or reverse osmosis membrane. Ultrafiltration membrane can intercept macromolecular organic matter, bacteria, viruses, etc. in water according to molecular size, while reverse osmosis membrane can remove almost all soluble salts, heavy metal ions, small molecular organic matter, etc. in water under higher pressure, so that the treated water reaches a higher purity standard and meets some reuse scenarios with more stringent water quality requirements, such as supplementary water in production processes or non-drinking domestic water.

[0031] Ozone sterilization device: by generating ozone gas and dissolving it in water, the strong oxidizing property of ozone is used to deeply sterilize and disinfect water. Ozone can react with bacteria, viruses, algae and other microorganisms in water to destroy their cell structure and metabolic function, and completely kill them. At the same time, it can also oxidize and decompose some organic pollutants in water, such as odor substances and pesticide residues, further improving the quality and safety of water. After ozone is decomposed in water, it will produce oxygen and will not cause secondary pollution to the water quality.

[0032] Water quality testing equipment: equipped with a variety of high-precision sensors, capable of real-time online testing of key water quality indicators of recycled water, such as pH, dissolved oxygen (DO), chemical oxygen demand (COD), biochemical oxygen demand (BOD), turbidity, conductivity, heavy metal ion concentration, microbial count, etc. These sensors convert the detected water quality data into electrical signals or digital signals and transmit them to data processing equipment, providing accurate water quality information basis for the operation and control of the entire return water treatment system, so as to adjust the treatment process and equipment parameters in a timely manner to ensure that the treated water quality meets the set usage requirements.

[0033] Data processing equipment: Receives real-time data from water quality testing equipment, and analyzes, processes and stores the data. Using advanced data processing algorithms and software, it can quickly analyze a large amount of water quality data, determine the changing trend of water quality and the treatment effect, and generate corresponding control instructions based on the preset water quality standards and treatment models, and send them to the control equipment to achieve intelligent and precise control of the return water treatment equipment group. In addition, the data processing equipment also has data recording and report generation functions, which can record historical water quality data and equipment operating parameters, and provide data support for system optimization and maintenance.

[0034] Control equipment: As the control core of the entire return water treatment system, it automatically controls each device in the return water treatment equipment group according to the control instructions sent by the data processing equipment. It can control the start and stop, operating speed, pressure, flow, temperature and other parameters of the equipment, realize the coordinated operation and seamless connection between the various treatment equipment, and ensure that the entire treatment process is carried out efficiently and stably according to the predetermined plan. For example, according to the water quality, the ultraviolet intensity of the ultraviolet decomposition device, the backwash frequency of the fine filtration equipment and membrane filtration equipment, and the ozone dosage of the ozone disinfection device are automatically adjusted to ensure that the treated water quality is stable and meets the standards, while optimizing the operating energy consumption of the equipment and reducing the operating cost.

[0035] Mobile devices: connected to data processing equipment through wireless communication technology, providing remote monitoring and management functions for operators. Operators can view the operating status, water quality data, equipment failure alarm and other information of the return water treatment system anytime and anywhere through mobile devices such as mobile phones and tablets, and can remotely perform some basic operation controls on the system, such as equipment start and stop in emergency situations, parameter adjustment, etc., which improves the system's operational convenience and emergency response capabilities, and facilitates managers to monitor and manage the entire treatment process in real time, discover and solve problems in a timely manner, and ensure the normal operation of the system.

[0036] See also Figure 1 , Figure 1 It is a schematic flow chart of the return water treatment method provided in the embodiment of the present application.

[0037] S100. The water quality data reported by the water quality detection equipment and the monitoring data on the operating status of the return water treatment equipment group can be obtained through the data processing equipment, and the water quality data and the monitoring data are analyzed to obtain control parameters that can regulate the operating status of the return water treatment equipment group so that the treated water meets the set usage requirements.

[0038] S200. The control device or mobile device can synchronously receive the water quality data, monitoring data, and control parameters sent by the data processing device, and generate corresponding control instructions according to the control parameters and send them to the water treatment equipment group, so that the water treatment equipment group performs operating actions according to the control instructions; wherein, under the condition that the control device or mobile device is equipped with a display, the water quality data and the monitoring data can be dynamically displayed in the form of visual charts.

[0039] The return water treatment method of the present application solves many problems in traditional technologies through the collaborative work of multiple technical means. First, by obtaining water quality data and monitoring data through data processing equipment and analyzing them, the water quality status and equipment operation status can be grasped in real time and accurately, so as to adjust the treatment process and parameters according to the actual situation, avoiding the problems of blind treatment process and waste of resources in traditional technologies. Secondly, by receiving the information sent by the data processing equipment through control equipment or mobile devices, and generating control instructions to be sent to the water treatment equipment group, the intelligent control of the treatment equipment is realized, avoiding the low efficiency and instability caused by relying on manual operation in traditional technologies. In addition, by dynamically displaying water quality data and monitoring data through visual charts, operators can intuitively and timely understand the water quality status and equipment operation status, which improves the convenience and accuracy of operation.

[0040] The data processing device obtains the water quality data reported by the water quality detection device and the monitoring data of the operating status of the return water treatment equipment group, and analyzes these data to obtain the control parameters. The control device or mobile device receives the water quality data, monitoring data and control parameters sent by the data processing device, and generates control instructions based on the control parameters and sends them to the water treatment equipment group. The water treatment equipment group performs the operation according to the control instructions. If the control device or mobile device is equipped with a display, the water quality data and monitoring data can be dynamically displayed in the form of visual charts.

[0041] The return water treatment method of the present application realizes real-time monitoring and intelligent control of water quality data and equipment operation status through the collaborative work of data processing equipment, water quality detection equipment, control equipment and mobile equipment, solving the problems of inaccurate water quality monitoring, blind processing and low intelligence in traditional technologies. By dynamically displaying water quality data and monitoring data through visual charts, operators can intuitively and timely understand the water quality status and equipment operation status, improving the convenience and accuracy of operation.

[0042] Before dynamically displaying the water quality data and the monitoring data in the form of visual charts, the method further includes:

[0043] Identify and remove abnormal values ​​in the water quality data and the monitoring data, and perform data calibration and data conversion on the water quality data and the monitoring data after the abnormal values ​​are removed.

[0044] The technical solution of this application aims to solve the problem that the existing technology cannot obtain water quality data and equipment operation status information in real time and accurately, and ensure the accuracy and reliability of the data by identifying and eliminating outliers. The data calibration and data conversion steps further optimize the quality of the data, making the subsequent visualization more accurate and meaningful.

[0045] The identification of outliers can be achieved by setting a reasonable threshold range or using statistical methods, such as the standard deviation method, box plot method, etc. After removing outliers, the data calibration step can use linear regression, interpolation and other methods to correct the data to reduce measurement errors. The data conversion step can convert the data into a format suitable for visual display according to actual needs, such as standardizing or normalizing the original data.

[0046] Therefore, by introducing the data preprocessing step, this application significantly improves the accuracy and reliability of water quality data and monitoring data, ensuring the accuracy and real-time performance of dynamic display. Compared with the prior art, this application can not only better monitor and control the operating status of the return water treatment equipment, but also provide operators with more intuitive and reliable data support, thereby improving the intelligence and efficiency of the overall return water treatment system.

[0047] The water quality data and the monitoring data are dynamically displayed in the form of visual charts, including:

[0048] Preset the gif module and generate x-axis and y-axis data by calling the random module and list derivation;

[0049] Initialize the matplotlib plug-in of the gif module and preset the frame rate of the dynamic image and the function of visualizing the chart;

[0050] A plurality of different scatter plots are generated by calling the function, and the scatter plots are saved to obtain corresponding dynamic visualization charts.

[0051] Specifically, the gif module is used to generate dynamic images, and random x-axis and y-axis data are generated by calling the random module. List derivation is used to efficiently generate these data points. After the matplotlib plug-in is initialized, the frame rate of the dynamic image and the specific display function of the chart can be set. By calling this function, a series of scatter plots can be generated, which are saved as dynamic charts in gif format.

[0052] In this way, the dynamic display of water quality data and monitoring data can be realized, providing intuitive visualization effects, so that operators can more clearly understand the changes in water quality and the operating status of equipment. Compared with existing technologies, this method can more accurately reflect data changes, facilitate real-time monitoring and decision-making, and improve the intelligence and automation level of the system.

[0053] After dynamically displaying the water quality data and the monitoring data in the form of visual charts, the method further includes:

[0054] Determine whether the water quality data and the monitoring data meet preset warning conditions;

[0055] If the preset warning conditions are met, the warning information is automatically triggered, and the warning information is analyzed to determine the cause and location of the abnormality;

[0056] A corresponding maintenance strategy is automatically generated based on the abnormal cause and the abnormal location.

[0057] Through the above scheme, the present application can realize real-time monitoring and dynamic display of water quality data and monitoring data. When the preset warning conditions are met, the warning information is automatically triggered, and the warning information is analyzed to determine the cause and location of the abnormality, so as to generate the corresponding maintenance strategy. Specifically, firstly, the water quality data reported by the water quality detection equipment and the operating status monitoring data of the return water treatment equipment group are obtained through the data processing equipment, and these data are analyzed and processed. After the processed data is displayed through a visual chart, the system further determines whether these data meet the preset warning conditions. If the warning conditions are met, the system will automatically trigger the warning information and analyze the warning information in detail to determine the specific cause and location of the abnormality. Subsequently, based on the analysis results, the system will automatically generate the corresponding maintenance strategy to quickly solve the problem and ensure the normal operation of the return water treatment system.

[0058] In the process of realizing the above functions, a variety of technical means can be used. For example, the preset warning conditions can be set based on historical data and experience values, or they can be dynamically adjusted through machine learning algorithms. The triggering of warning information can be achieved by writing corresponding algorithms, and data mining and pattern recognition technology can be used to analyze warning information. For the generation of maintenance strategies, expert systems and artificial intelligence technologies can be combined to automatically generate the optimal maintenance plan. In addition, the system can also remind operators of warning information through various forms such as sound, light, text messages, WeChat and emails to ensure that problems can be handled in a timely manner.

[0059] Therefore, this application can effectively solve the problems of untimely water quality monitoring, inadequate treatment, and low efficiency caused by reliance on manual operation in traditional technologies by introducing intelligent monitoring and automatic early warning mechanisms. By automatically generating maintenance strategies, the need for manual intervention is reduced, and the intelligence level and operating efficiency of the system are improved. Compared with the existing technology, this application has significant advantages in improving water quality treatment effects, intelligence levels, and system reliability.

[0060] After the automatic triggering of the warning information, the method further includes:

[0061] The warning information is used to alert the operator via sound, light, text message, WeChat and email.

[0062] In the process of drinking water production, the recycling of drainage has always been an important issue of concern in the industry. Traditional drinking water production drainage recycling and treatment technology has many disadvantages. Existing backwater treatment devices often have a single structure, lack of systematic integration, and each treatment link is relatively independent and cannot work together efficiently. For example, some treatment equipment only performs physical filtration, which is not effective in removing complex organic matter, microorganisms and other pollutants in the water, resulting in the water quality after treatment being difficult to reach a high standard of use, unable to meet the diverse water demand, and limiting the application scope of recycled water. Moreover, traditional technologies lack accurate water quality monitoring and control means. During the treatment process, it is impossible to obtain water quality data and equipment operation status information in real time and accurately, and it is impossible to adjust the treatment process and parameters in time according to the actual situation, making the treatment process relatively blind, which is prone to waste of resources and insufficient treatment. In addition, the traditional backwater treatment system has a low degree of intelligence and relies on manual operation and experience judgment. It is not only inefficient, but also prone to unstable equipment operation due to human errors, affecting the reliability and sustainability of the overall backwater treatment, increasing the operating cost and maintenance difficulty, and it is difficult to achieve efficient, stable and intelligent recycling of drinking water production drainage, and unable to meet the growing demand for efficient utilization of water resources. Based on this, it is necessary to provide a new return water treatment solution for drinking water production drainage recycling, aiming to effectively solve the defects of the above-mentioned existing technologies by optimizing the system architecture and introducing intelligent control, and improve the water utilization rate and the comprehensive performance of the treatment system.

[0063] The technical solution proposed in this application can automatically trigger the warning information and then remind the operator through sound, light, text message, WeChat and email, so that the operator can be informed of the abnormal situation of the system in time and take corresponding measures quickly. Specifically, when the system detects that the water quality data and monitoring data meet the preset warning conditions, the warning information is automatically triggered and the operator is reminded in various forms. This diversified reminder method can ensure that the operator can receive the warning information in time under different environments and conditions, thereby improving the reliability and response speed of the system.

[0064] For example, through sound reminders, operators can quickly hear the alarm in the on-site environment and immediately check the system status; through light reminders, anomalies can be quickly identified through visual signals in a noisy environment; through SMS, WeChat and email reminders, operators can receive early warning information in a timely manner even when they are remote or not on-site, ensuring that the processing process is not restricted by time and space.

[0065] Therefore, the technical solution proposed in this application solves the problems of single warning information transmission and untimely operator response in traditional technology through various forms of early warning reminders, improves the intelligence and operation efficiency of the system, and ensures the stability and reliability of the drinking water production and drainage recycling process.

[0066] After the corresponding maintenance strategy is automatically generated based on the abnormal cause and the abnormal location, the method further includes:

[0067] A corresponding maintenance work order is generated based on the maintenance strategy, and the maintenance work order is allocated to an operator.

[0068] During the processing, the water quality data reported by the water quality detection equipment and the operating status monitoring data of the return water treatment equipment group are obtained through the data processing equipment, and these data are analyzed to generate control parameters. The water quality data, monitoring data and control parameters sent by the data processing equipment are received through the control device or mobile device, and the corresponding control instructions are generated according to the control parameters to command the water treatment equipment group to perform the operation action. The water quality data and monitoring data can be dynamically displayed through visual charts so that the operator can monitor and adjust in real time.

[0069] During the production process, when the water quality data and monitoring data meet the preset warning conditions, the system will automatically trigger the warning information and analyze the warning information to determine the cause and location of the abnormality. Based on the cause and location of the abnormality, the system automatically generates the corresponding maintenance strategy. Furthermore, the system will generate the corresponding maintenance work order based on the maintenance strategy and assign the maintenance work order to the operator for processing.

[0070] The generation and distribution of maintenance work orders can be achieved in a variety of ways. For example, the system can automatically fill in the details of the maintenance work order, including the cause of the abnormality, the location of the abnormality, and the maintenance suggestions, and distribute the work order to the corresponding operator through the internal network system. The operator can receive the work order through a mobile device or control device and perform the maintenance operation according to the instructions on the work order. The system can also track the progress of the maintenance work order to ensure that the problem is solved in a timely manner.

[0071] In this way, the automation and intelligent management of the return water treatment system is realized, the operating efficiency and reliability of the system are improved, and the reliance on manual operation and the possibility of human error are reduced. Compared with the prior art, the solution of this application can more effectively deal with the problem of drainage recycling in drinking water production, so that the treated water quality is more in line with the use requirements, and the overall performance of the system is significantly improved.

[0072] See also Figure 2 , Figure 2 It is a schematic diagram of the structure of the return water treatment device provided in the embodiment of the present application.

[0073] A backwater treatment device for recycling drinking water production drainage, used to execute the backwater treatment method as described in claims 1-6.

[0074] The data acquisition module 100 is used to obtain the water quality data reported by the water quality detection equipment and the monitoring data of the operation status of the return water treatment equipment group;

[0075] The data analysis module 200 is used to analyze the water quality data and the monitoring data to obtain control parameters that can control the operating status of the return water treatment equipment group so that the treated water meets the set use requirements;

[0076] The control module 300 is used to generate corresponding control instructions according to the control parameters and send them to the water treatment equipment group, so that the water treatment equipment group performs operation actions according to the control instructions, and dynamically displays the water quality data and the monitoring data in the form of visual charts.

[0077] The device acquires water quality data and equipment operation status data in real time through the data acquisition module, and these data will be transmitted to the data analysis module for processing and analysis. The data analysis module generates control parameters by analyzing the data, and these parameters will be used to optimize the operation status of the return water treatment equipment group. The control module generates control instructions based on these control parameters and sends them to each treatment equipment to ensure that the treated water quality meets the set usage requirements. In addition, the control module also dynamically displays water quality data and monitoring data through visual charts, so that the operator can intuitively understand the operation status of the system.

[0078] The data acquisition module can include various sensors and detection equipment to accurately obtain data on water quality and equipment operating status. The data analysis module can use advanced data analysis algorithms and models to ensure the accuracy and reliability of the analysis results. The control module can achieve automatic control through programming, reduce manual intervention, and improve the intelligence level of the system. The dynamic display function of the visualization chart can be achieved by calling a graphics processing library such as matplotlib to improve data visualization and user experience.

[0079] Compared with the prior art, the return water treatment device proposed in this application improves the treatment efficiency and water quality stability through systematic integration and intelligent control. Through real-time data collection and analysis, precise control of the return water treatment process is achieved, reducing resource waste and insufficient treatment. The dynamic display function allows operators to monitor and manage the system operation status more intuitively, further improving the reliability and maintenance efficiency of the system. Therefore, the return water treatment device of this application has significant advantages in improving water resource utilization and the comprehensive performance of the treatment system.

[0080] The control module is used to preset the gif module and generate x-axis and y-axis data by calling the random module and list derivation; initialize the matplotlib plug-in of the gif module and preset the frame rate of the dynamic image and the function of the visualization chart; generate multiple different scatter plots by calling the function, and save the scatter plots to obtain the corresponding dynamic visualization chart.

[0081] The technical solution of the present application solves the problem of lack of effective dynamic data display and analysis in traditional backwater treatment systems. By presetting the gif module and calling the random module and list derivation to generate x-axis and y-axis data, random generation and dynamic display of data can be achieved. Initialize the matplotlib plug-in of the gif module, and preset the frame rate of the dynamic image and the function of the visualization chart, so that the data display is more intuitive and dynamic. By calling the function to generate multiple different scatter plots and saving these scatter plots, dynamic visualization charts are obtained, which can display the changes of water quality data and monitoring data in real time.

[0082] Furthermore, the control module generates x-axis and y-axis data by calling the random module and list derivation. These data can be real-time data of water quality parameters and equipment operation status. The matplotlib plug-in of the gif module is initialized, and the frame rate of the dynamic image and the function of the visualization chart are preset so that the dynamic image can be displayed at the set frame rate. By calling these functions to generate multiple different scatter plots and saving these scatter plots as dynamic visualization charts, the changing trends of water quality data and monitoring data can be intuitively displayed.

[0083] The technical solution of this application displays water quality data and monitoring data in the form of dynamic visual charts, solving the problem that traditional backwater treatment systems cannot intuitively display and analyze data. As a result, operators can understand the water quality and equipment operating status in real time through dynamic visual charts, detect abnormalities in a timely manner and make adjustments, thereby improving the intelligence and efficiency of the backwater treatment system. Compared with the existing technology, the solution of this application has obvious advantages in data display and analysis, and improves the overall performance and reliability of the system.

[0084] It should be noted that, in some embodiments, the functions or modules included in the device provided in the embodiments of the present application can be used to execute the method described in the above method embodiments. The specific implementation thereof can refer to the description of the above method embodiments. For the sake of brevity, it will not be repeated here.

[0085] See also Figure 3 , Figure 3 A schematic diagram of the hardware structure of a return water treatment device provided in one embodiment of the present application.

[0086] The device 2 includes a processor 21, a memory 24, an input device 22, and an output device 23. The processor 21, the memory 24, the input device 22, and the output device 23 are coupled via a connector, and the connector includes various interfaces, transmission lines, or buses, etc., which are not limited in the embodiments of the present application. It should be understood that in each embodiment of the present application, coupling refers to mutual connection in a specific manner, including direct connection or indirect connection through other devices, for example, through various interfaces, transmission lines, buses, etc.

[0087] The processor 21 may be one or more graphics processing units (GPUs). When the processor 21 is a GPU, the GPU may be a single-core GPU or a multi-core GPU. Optionally, the processor 21 may be a processor group consisting of multiple GPUs, and the multiple processors are coupled to each other via one or more buses. Optionally, the processor may also be other types of processors, etc., which are not limited in the embodiments of the present application.

[0088] The memory 24 can be used to store computer program instructions and various computer program codes including the program code for executing the program code of the present application. Optionally, the memory includes but is not limited to random access memory (RAM), read-only memory (ROM), erasable programmable read only memory (EPROM), or portable read only memory (CD-ROM), which is used for related instructions and data.

[0089] The input device 22 is used to input data and / or signals, and the output device 23 is used to output data and / or signals. The output device 23 and the input device 22 may be independent devices or an integrated device.

[0090] It is understandable that in the embodiment of the present application, the memory 24 can not only be used to store related instructions, and the embodiment of the present application does not limit the specific data stored in the memory.

[0091] Understandably, Figure 3 Only a simplified design of the return water treatment device is shown. In practical applications, the device may also include other necessary components, including but not limited to any number of input / output devices, processors, memories, etc., and all devices that can implement the embodiments of the present application are within the scope of protection of the present application.

[0092] A third aspect of an embodiment of the present application provides an electronic device, which includes a memory and a processor, wherein the memory stores a computer program, and the processor implements the above-mentioned backwater processing method when executing the computer program.

[0093] A fourth aspect of the embodiments of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the above-mentioned backwater processing method is implemented.

[0094] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0095] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments, and will not be repeated here. Those skilled in the art can also clearly understand that the descriptions of the various embodiments of the present application have different focuses. For the convenience and brevity of description, the same or similar parts may not be repeated in different embodiments. Therefore, for parts not described or not described in detail in a certain embodiment, refer to the records of other embodiments.

[0096] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted through the computer-readable storage medium. The computer instructions can be transmitted from a website site, computer, server or data center to another website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (digital subscriber line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more available media integrated. The available medium may be a magnetic medium (eg, a floppy disk, a hard disk, a magnetic tape), an optical medium (eg, a digital versatile disc (DVD)), or a semiconductor medium (eg, a solid state disk (SSD)).

[0097] A person skilled in the art can understand that to implement all or part of the processes in the above-mentioned embodiments, the processes can be completed by a computer program to instruct the relevant hardware, and the program can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the above-mentioned method embodiments. The aforementioned storage medium includes: a read-only memory (ROM) or a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

Claims

1. A method for treating backwater for recycling drinking water production drainage, characterized in that: The method is performed by a backwater treatment system, which includes a backwater treatment equipment group and a control equipment group. The backwater treatment equipment group includes at least a recovery pool, an ultraviolet decomposition device, a fine filtration device, a membrane filtration device, and an ozone sterilization device. The control equipment group includes at least a water quality detection device, a data processing device, a control device, and a mobile device. The return water treatment method at least comprises the following steps: The data processing device can obtain the water quality data reported by the water quality detection device and the monitoring data of the operating status of the return water treatment equipment group, and analyze the water quality data and the monitoring data to obtain the control parameters that can regulate the operating status of the return water treatment equipment group so that the treated water meets the set use requirements; The control device or mobile device can synchronously receive the water quality data, monitoring data, and control parameters sent by the data processing device, and generate corresponding control instructions according to the control parameters and send them to the water treatment equipment group, so that the water treatment equipment group performs operating actions according to the control instructions; wherein, under the condition that the control device or mobile device is equipped with a display, the water quality data and the monitoring data can be dynamically displayed in the form of visual charts.

2. The method for treating backwater for recycling drinking water production drainage according to claim 1, characterized in that: Before dynamically displaying the water quality data and the monitoring data in the form of visual charts, the method further includes: Identify and remove abnormal values ​​in the water quality data and the monitoring data, and perform data calibration and data conversion on the water quality data and the monitoring data after the abnormal values ​​are removed.

3. The method for treating backwater for recycling drinking water production drainage according to claim 1, characterized in that: The water quality data and the monitoring data are dynamically displayed in the form of visual charts, including: Preset the gif module and generate x-axis and y-axis data by calling the random module and list derivation; Initialize the matplotlib plug-in of the gif module and preset the frame rate of the dynamic image and the function of visualizing the chart; A plurality of different scatter plots are generated by calling the function, and the scatter plots are saved to obtain corresponding dynamic visualization charts.

4. The method for treating backwater for recycling drinking water production drainage according to claim 1, characterized in that: After dynamically displaying the water quality data and the monitoring data in the form of visual charts, the method further includes: Determine whether the water quality data and the monitoring data meet preset warning conditions; If the preset warning conditions are met, the warning information is automatically triggered, and the warning information is analyzed to determine the cause and location of the abnormality; A corresponding maintenance strategy is automatically generated based on the abnormal cause and the abnormal location.

5. The method for treating backwater for recycling drinking water production drainage according to claim 4, characterized in that: After the automatic triggering of the warning information, the method further includes: The warning information is used to alert the operator via sound, light, text message, WeChat and email.

6. The method for treating backwater for recycling drinking water production drainage according to claim 4, characterized in that: After the corresponding maintenance strategy is automatically generated based on the abnormal cause and the abnormal location, the method further includes: A corresponding maintenance work order is generated based on the maintenance strategy, and the maintenance work order is allocated to an operator.

7. A backwater treatment device for recycling drinking water production drainage, used to perform the backwater treatment method according to claims 1-6, characterized in that: include A data acquisition module, used to obtain water quality data reported by the water quality detection equipment, and monitoring data on the operating status of the return water treatment equipment group; A data analysis module, used for analyzing the water quality data and the monitoring data to obtain control parameters that can regulate the operating status of the return water treatment equipment group so that the treated water meets the set use requirements; The control module is used to generate corresponding control instructions according to the control parameters and send them to the water treatment equipment group, so that the water treatment equipment group performs operation actions according to the control instructions, and dynamically displays the water quality data and the monitoring data in the form of visual charts.

8. The backwater treatment device for recycling drinking water production drainage according to claim 7, characterized in that: The control module is used to preset the gif module and generate x-axis and y-axis data by calling the random module and list derivation; initialize the matplotlib plug-in of the gif module and preset the frame rate of the dynamic image and the function of the visualization chart; generate multiple different scatter plots by calling the function, and save the scatter plots to obtain the corresponding dynamic visualization chart.

9. An electronic device, characterized in that: The electronic device comprises a memory and a processor, the memory stores a computer program, and the processor implements the return water treatment method according to any one of claims 1 to 6 when executing the computer program.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the return water treatment method according to any one of claims 1 to 6 is implemented.

Images