A wastewater treatment intelligent monitoring method, system and medium based on big data

Abstract

The present application provides a method, system and medium for intelligent monitoring of wastewater treatment based on big data. The method includes: real-time monitoring of wastewater at the water inlet and collecting characteristic information, extracting monitoring data and initial characteristic data of wastewater, and processing in combination with processing demand data to obtain a wastewater treatment characteristic index, and selecting adaptive treatment equipment parameters and adaptive treatment process parameters and adjusting and configuring the equipment and treatment process respectively, so as to perform wastewater treatment operation on the wastewater, further, obtaining characteristic data of water quality at the water outlet, and conducting quality assessment to obtain a water quality inspection index, obtaining actual operation data of the equipment, and processing to obtain an actual energy consumption index, combining the water quality inspection index to conduct effectiveness assessment, obtaining a wastewater treatment effectiveness index, and comparing it with a preset effectiveness threshold, evaluating the wastewater treatment effect according to the results, and adjusting the wastewater treatment plan, thereby realizing the technology of intelligent monitoring of wastewater treatment based on big data.

Description

Technical Field

[0001] The present application relates to the field of wastewater treatment technology, and more specifically, to a method, system and medium for intelligent monitoring of wastewater treatment based on big data. Background Art

[0002] Turning waste into treasure is a very important technology, and wastewater treatment is one of them.

[0003] However, the existing wastewater treatment process has some defects and faces multiple challenges. The traditional wastewater treatment process requires the addition of a large amount of chemicals, and the equipment is not maintained in a timely manner. In addition, the accuracy, intelligence and efficiency of wastewater treatment monitoring need to be improved.

[0004] In view of the above problems, effective technical solutions are urgently needed. Summary of the invention

[0005] The purpose of the present application is to provide a method, system and medium for intelligent monitoring of wastewater treatment based on big data. By processing the initial characteristic data of the wastewater, a wastewater treatment characteristic index can be obtained, and according to the wastewater treatment characteristic index, adaptation treatment equipment parameters and adaptation treatment process parameters can be selected. Furthermore, the water quality of the outlet and the actual energy consumption of the operation can be evaluated, and the effectiveness can be evaluated based on the two to obtain the wastewater treatment effectiveness index. The wastewater treatment plan can be adjusted accordingly according to the wastewater treatment effectiveness index, thereby realizing the technology of intelligent monitoring of wastewater treatment based on big data.

[0006] The present application also provides a wastewater treatment intelligent monitoring method based on big data, comprising the following steps:

[0007] Monitor the wastewater at the water inlet in real time and collect corresponding characteristic information, and extract monitoring data of the wastewater and initial characteristic data of the wastewater;

[0008] Acquire the wastewater treatment demand data, and process the wastewater in combination with the wastewater monitoring data and the wastewater initial characteristic data to obtain a wastewater treatment characteristic index;

[0009] Performing a threshold comparison between the wastewater treatment characteristic index and a preset wastewater treatment characteristic threshold, and selecting adaptive treatment equipment parameters and adaptive treatment process parameters according to the threshold comparison result;

[0010] According to the adapted treatment equipment parameters and the adapted treatment process parameters, the equipment and the treatment process are adjusted and configured respectively, and the wastewater is treated by the wastewater treatment operation;

[0011] Obtain characteristic data of water quality at the outlet, conduct quality assessment based on the characteristic data, and obtain a water quality inspection index;

[0012] Acquire the actual operation data of the equipment, and process it in combination with the monitoring data of the wastewater to obtain the actual energy consumption index of the wastewater treatment operation;

[0013] Performing effectiveness evaluation based on the water quality inspection index combined with the actual energy consumption index to obtain a wastewater treatment effectiveness index;

[0014] A threshold comparison is performed based on the wastewater treatment effectiveness index and a preset effectiveness threshold, and the wastewater treatment effect is evaluated based on the threshold comparison result, and the wastewater treatment plan is adjusted accordingly.

[0015] Optionally, in the intelligent monitoring method for wastewater treatment based on big data described in the present application, the real-time monitoring of wastewater at the water inlet and the collection of corresponding characteristic information, and the extraction of monitoring data of the wastewater and initial characteristic data of the wastewater include:

[0016] Real-time monitoring of wastewater at the water inlet and collection of corresponding characteristic information, including chemical composition information, physical property information and pollutant type information;

[0017] Processing the chemical composition information, physical property information, and pollutant type information through a preset wastewater feature recognition model to obtain monitoring data of the wastewater and initial wastewater feature data;

[0018] The monitoring data includes wastewater flow data, wastewater temperature data and wastewater turbidity data;

[0019] The initial wastewater characteristic data include wastewater pH value data, wastewater chemical oxygen demand data, wastewater biochemical oxygen demand data and heavy metal content data.

[0020] Optionally, in the intelligent monitoring method for wastewater treatment based on big data described in the present application, the processing demand data of the wastewater is obtained, and the wastewater treatment characteristic index is obtained by combining the monitoring data of the wastewater and the initial characteristic data of the wastewater for processing, including:

[0021] Obtaining the wastewater treatment demand data, including discharge standard record data and reuse requirement record data;

[0022] Processing the wastewater treatment characteristic index based on the discharge standard record data and the reuse requirement record data in combination with the wastewater monitoring data and the wastewater initial characteristic data;

[0023] The calculation formula of the wastewater treatment characteristic index is:

[0024] ;

[0025] in, is the wastewater treatment characteristic index, , , They are wastewater flow data, wastewater temperature data, and wastewater turbidity data. , , , They are wastewater pH data, wastewater chemical oxygen demand data, wastewater biochemical oxygen demand data, and heavy metal content data. , They are emission standard record data and reuse requirement record data. , , , , , is the preset characteristic coefficient.

[0026] Optionally, in the intelligent monitoring method for wastewater treatment based on big data described in the present application, the threshold comparison is performed according to the wastewater treatment characteristic index and a preset wastewater treatment characteristic threshold, and the adaptive treatment equipment parameters and the adaptive treatment process parameters are selected according to the threshold comparison result, including:

[0027] Performing a threshold comparison based on the wastewater treatment characteristic index and a preset wastewater treatment characteristic threshold;

[0028] Selecting the adaptive processing equipment parameters and the adaptive processing process parameters according to the threshold comparison result;

[0029] The adapted processing equipment parameters include equipment type record data, equipment operation power data and equipment operation speed data;

[0030] The treatment process parameters include hydraulic retention time data, sludge retention time data and volumetric load data.

[0031] Optionally, in the intelligent monitoring method for wastewater treatment based on big data described in the present application, the step of obtaining characteristic data of water quality at the water outlet, performing quality assessment based on the characteristic data, and obtaining a water quality inspection index includes:

[0032] Obtain characteristic data of water quality at the outlet, including chemical oxygen demand data, biochemical oxygen demand data and heavy metal content data of the outlet water quality;

[0033] Perform a quality assessment based on the effluent water quality chemical oxygen demand data, effluent water quality biochemical oxygen demand data, effluent water quality suspended solids content data, and effluent water quality heavy metal content data to obtain a water quality inspection index;

[0034] The calculation formula of the water quality inspection index is:

[0035] ;

[0036] in, is the water quality inspection index, , , , They are the chemical oxygen demand data of effluent water quality, the biochemical oxygen demand data of effluent water quality, the suspended solids content data of effluent water quality, and the heavy metal content data of effluent water quality. To preset the water quality treatment compensation factor, , , , is the preset characteristic coefficient.

[0037] Optionally, in the intelligent monitoring method for wastewater treatment based on big data described in the present application, the actual operation data of the equipment is obtained, and the actual energy consumption index of the wastewater treatment operation is obtained by processing the data in combination with the monitoring data of the wastewater, including:

[0038] Obtaining actual operation data of the device, including actual operation duration data, actual operation average power data, and actual average operation speed data;

[0039] According to the actual operation time data, the actual operation average power and the actual average operation speed data, and in combination with the wastewater monitoring data, an actual energy consumption index of the wastewater treatment operation is obtained;

[0040] The calculation formula of the actual energy consumption index is:

[0041] ;

[0042] in, is the actual energy consumption index, , , They are actual operation time data, actual operation average power data, and actual average operation speed data. , , They are wastewater flow data, wastewater temperature data, and wastewater turbidity data. , , , , , is the preset characteristic coefficient.

[0043] Optionally, in the intelligent monitoring method for wastewater treatment based on big data described in the present application, the effectiveness evaluation is performed according to the water quality inspection index combined with the actual energy consumption index to obtain the wastewater treatment effectiveness index, including:

[0044] According to the water quality inspection index and the actual energy consumption index, the effectiveness evaluation is performed through a preset water quality benefit evaluation model to obtain a wastewater treatment effectiveness index;

[0045] The calculation formula of the wastewater treatment effectiveness index is:

[0046] ;

[0047] in, is the wastewater treatment effectiveness index, , They are water quality inspection index and actual energy consumption index. , is the preset characteristic coefficient.

[0048] In a second aspect, the present application provides a wastewater treatment intelligent monitoring system based on big data, the system comprising: a memory and a processor, the memory comprising a program of a wastewater treatment intelligent monitoring method based on big data, the program of the wastewater treatment intelligent monitoring method based on big data being executed by the processor to implement the following steps:

[0049] Monitor the wastewater at the water inlet in real time and collect corresponding characteristic information, and extract monitoring data of the wastewater and initial characteristic data of the wastewater;

[0050] Acquire the wastewater treatment demand data, and process the wastewater in combination with the wastewater monitoring data and the wastewater initial characteristic data to obtain a wastewater treatment characteristic index;

[0051] Performing a threshold comparison between the wastewater treatment characteristic index and a preset wastewater treatment characteristic threshold, and selecting adaptive treatment equipment parameters and adaptive treatment process parameters according to the threshold comparison result;

[0052] According to the adapted treatment equipment parameters and the adapted treatment process parameters, the equipment and the treatment process are adjusted and configured respectively, and the wastewater is treated by the wastewater treatment operation;

[0053] Obtain characteristic data of water quality at the outlet, conduct quality assessment based on the characteristic data, and obtain a water quality inspection index;

[0054] Acquire the actual operation data of the equipment, and process it in combination with the monitoring data of the wastewater to obtain the actual energy consumption index of the wastewater treatment operation;

[0055] Performing effectiveness evaluation based on the water quality inspection index combined with the actual energy consumption index to obtain a wastewater treatment effectiveness index;

[0056] A threshold comparison is performed based on the wastewater treatment effectiveness index and a preset effectiveness threshold, and the wastewater treatment effect is evaluated based on the threshold comparison result, and the wastewater treatment plan is adjusted accordingly.

[0057] Optionally, in the wastewater treatment intelligent monitoring system based on big data described in the present application, the real-time monitoring of the wastewater at the water inlet and the collection of corresponding characteristic information, and the extraction of the monitoring data of the wastewater and the initial characteristic data of the wastewater include:

[0058] Real-time monitoring of wastewater at the water inlet and collection of corresponding characteristic information, including chemical composition information, physical property information and pollutant type information;

[0059] Processing the chemical composition information, physical property information, and pollutant type information through a preset wastewater feature recognition model to obtain monitoring data of the wastewater and initial wastewater feature data;

[0060] The monitoring data includes wastewater flow data, wastewater temperature data and wastewater turbidity data;

[0061] The initial wastewater characteristic data include wastewater pH value data, wastewater chemical oxygen demand data, wastewater biochemical oxygen demand data and heavy metal content data.

[0062] In the third aspect, the present application also provides a computer-readable storage medium, which stores a program for an intelligent monitoring method for wastewater treatment based on big data. When the program for the intelligent monitoring method for wastewater treatment based on big data is executed by a processor, the steps of the intelligent monitoring method for wastewater treatment based on big data as described in any one of the above items are implemented.

[0063] As can be seen from the above, the intelligent monitoring method, system and medium for wastewater treatment based on big data provided by the present application monitor the wastewater at the water inlet in real time and collect the corresponding characteristic information, extract the monitoring data and the initial characteristic data of the wastewater, and process it in combination with the wastewater treatment demand data to obtain the wastewater treatment characteristic index, select the adaptation treatment equipment parameters and the adaptation treatment process parameters according to the wastewater treatment characteristic index, and adjust and configure the equipment and the treatment process respectively, so as to perform wastewater treatment operation on the wastewater, and further, obtain the characteristic data of the water quality at the outlet, and conduct a quality assessment to obtain the water quality inspection index; obtain the actual operation data of the equipment, and process it in combination with the monitoring data to obtain the actual energy consumption index of the wastewater treatment operation, conduct an effectiveness assessment based on the water quality inspection index combined with the actual energy consumption index, obtain the wastewater treatment effectiveness index, and compare the threshold with the preset effectiveness threshold, evaluate the wastewater treatment effect according to the threshold comparison result, and adjust the wastewater treatment plan accordingly, thereby realizing the technology of intelligent monitoring of wastewater treatment based on big data.

[0064] Other features and advantages of the present application will be described in the following description, and partly become apparent from the description, or understood by practicing the embodiments of the present application. The purpose and other advantages of the present application can be realized and obtained by the structures specifically pointed out in the written description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0066] Figure 1 A flowchart of a wastewater treatment intelligent monitoring method based on big data provided in an embodiment of the present application;

[0067] Figure 2 A flowchart of extracting monitoring data and initial characteristic data of wastewater according to the intelligent monitoring method for wastewater treatment based on big data provided in an embodiment of the present application;

[0068] Figure 3 A flow chart of obtaining a wastewater treatment characteristic index in a wastewater treatment intelligent monitoring method based on big data provided in an embodiment of the present application;

[0069] Figure 4 A flowchart of selecting and adapting treatment equipment parameters and treatment process parameters for the big data-based intelligent monitoring method for wastewater treatment provided in an embodiment of the present application. DETAILED DESCRIPTION

[0070] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0071] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0072] Please refer to Figure 1 , Figure 1 The flowchart of the intelligent monitoring method for wastewater treatment based on big data in some embodiments of the present application. The intelligent monitoring method for wastewater treatment based on big data is used in terminal devices, such as computers, mobile terminals, etc. The intelligent monitoring method for wastewater treatment based on big data includes the following steps:

[0073] S11, real-time monitoring of wastewater at the water inlet and collection of corresponding characteristic information, and extraction of monitoring data of the wastewater and initial characteristic data of the wastewater;

[0074] S12, obtaining the wastewater treatment demand data, and processing the wastewater in combination with the wastewater monitoring data and the wastewater initial characteristic data to obtain a wastewater treatment characteristic index;

[0075] S13, performing a threshold comparison between the wastewater treatment characteristic index and a preset wastewater treatment characteristic threshold, and selecting an adaptive treatment equipment parameter and an adaptive treatment process parameter according to the threshold comparison result;

[0076] S14, adjusting and configuring the equipment and the treatment process according to the adapted treatment equipment parameters and the adapted treatment process parameters, and performing wastewater treatment operations on the wastewater;

[0077] S15, obtaining characteristic data of water quality at the water outlet, performing quality assessment based on the characteristic data, and obtaining a water quality inspection index;

[0078] S16, obtaining actual operation data of the equipment, and processing the data in combination with the monitoring data of the wastewater to obtain an actual energy consumption index of the wastewater treatment operation;

[0079] S17, performing effectiveness evaluation based on the water quality inspection index and the actual energy consumption index to obtain a wastewater treatment effectiveness index;

[0080] S18. Perform a threshold comparison between the wastewater treatment effectiveness index and a preset effectiveness threshold, evaluate the wastewater treatment effect according to the threshold comparison result, and adjust the wastewater treatment plan accordingly.

[0081] It should be noted that turning waste into treasure is a vital technology. Therefore, wastewater treatment technology plays a very important role in industry. In order to reduce the dependence on the means of adding chemical agents, a more environmentally friendly process is adopted to achieve wastewater treatment, and at the same time, the accuracy and intelligence of wastewater treatment process monitoring are greatly improved. First, the wastewater at the water inlet is monitored in real time and the corresponding characteristic information is collected, and the monitoring data and the initial characteristic data of the wastewater are extracted, and the wastewater treatment demand data is combined for processing to obtain the wastewater treatment characteristic index. According to the wastewater treatment characteristic index, the adaptation treatment equipment parameters and the adaptation treatment process parameters are selected and respectively The equipment and treatment process are adjusted and configured to carry out wastewater treatment operations. Furthermore, the characteristic data of the water quality at the outlet is obtained, and the quality is evaluated to obtain the water quality inspection index. The actual operation data of the equipment is obtained and processed in combination with the monitoring data to obtain the actual energy consumption index of the wastewater treatment operation. The effectiveness is evaluated based on the water quality inspection index combined with the actual energy consumption index to obtain the wastewater treatment effectiveness index, and a threshold comparison is made with the preset effectiveness threshold. The wastewater treatment effect is evaluated based on the threshold comparison results, and the wastewater treatment plan is adjusted accordingly, thereby realizing the technology of intelligent monitoring of wastewater treatment based on big data.

[0082] Please refer to Figure 2 , Figure 2 The present invention is a flowchart of extracting monitoring data and initial characteristic data of wastewater in a method for intelligent monitoring of wastewater treatment based on big data in some embodiments of the present application. According to an embodiment of the present invention, the real-time monitoring of wastewater at the water inlet and the collection of corresponding characteristic information, and the extraction of monitoring data and initial characteristic data of the wastewater include:

[0083] S21. Real-time monitoring of wastewater at the water inlet and collection of corresponding characteristic information, including chemical composition information, physical property information, and pollutant type information;

[0084] S22, processing the chemical composition information, physical property information and pollutant type information through a preset wastewater feature recognition model to obtain monitoring data of the wastewater and initial wastewater feature data;

[0085] S23, the monitoring data includes wastewater flow data, wastewater temperature data and wastewater turbidity data;

[0086] S24. The initial characteristic data of the wastewater include wastewater pH value data, wastewater chemical oxygen demand data, wastewater biochemical oxygen demand data and heavy metal content data.

[0087] It should be noted that in order to better treat wastewater and make the process more effective, it is crucial to select suitable treatment equipment and processes. Therefore, it is necessary to monitor the wastewater at the water inlet in real time and collect corresponding characteristic information, including chemical composition information, physical property information and pollutant type information, and process it through a preset wastewater characteristic recognition model to obtain wastewater monitoring data and initial wastewater characteristic data. Among them, the wastewater characteristic recognition model is a neural network model. The initialized wastewater characteristic recognition model is trained based on a large amount of historical wastewater characteristic information to obtain a trained wastewater characteristic recognition model. The monitoring data includes wastewater flow data, wastewater temperature data and wastewater turbidity data. The initial wastewater characteristic data includes wastewater pH value data, wastewater chemical oxygen demand data, wastewater biochemical oxygen demand data and heavy metal content data.

[0088] Please refer to Figure 3 , Figure 3 The present invention is a flowchart of obtaining a wastewater treatment characteristic index in a wastewater treatment intelligent monitoring method based on big data in some embodiments of the present application. According to an embodiment of the present invention, obtaining the wastewater treatment demand data and processing the wastewater in combination with the wastewater monitoring data and the wastewater initial characteristic data to obtain the wastewater treatment characteristic index includes:

[0089] S31, obtaining the wastewater treatment requirement data, including discharge standard record data and reuse requirement record data;

[0090] S32, processing the wastewater treatment characteristic index according to the discharge standard record data and the reuse requirement record data in combination with the wastewater monitoring data and the wastewater initial characteristic data;

[0091] The calculation formula of the wastewater treatment characteristic index is:

[0092] ;

[0093] in, is the wastewater treatment characteristic index, , , They are wastewater flow data, wastewater temperature data, and wastewater turbidity data. , , , They are wastewater pH data, wastewater chemical oxygen demand data, wastewater biochemical oxygen demand data, and heavy metal content data. , They are emission standard record data and reuse requirement record data. , , , , , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset wastewater treatment monitoring platform database).

[0094] It should be noted that further wastewater treatment demand data is obtained, including discharge standard record data and reuse requirement record data, and then combined with wastewater monitoring data and wastewater initial characteristic data for processing to obtain the wastewater treatment characteristic index.

[0095] Please refer to Figure 4 , Figure 4 The present invention is a flowchart of selecting and adapting treatment equipment parameters and treatment process parameters of the intelligent monitoring method for wastewater treatment based on big data in some embodiments of the present application. According to an embodiment of the present invention, the threshold comparison is performed based on the wastewater treatment characteristic index and the preset wastewater treatment characteristic threshold, and the selection of the adaptation treatment equipment parameters and the adaptation treatment process parameters according to the threshold comparison result includes:

[0096] S41, performing a threshold comparison between the wastewater treatment characteristic index and a preset wastewater treatment characteristic threshold;

[0097] S42, selecting adaptation processing equipment parameters and adaptation processing process parameters according to the threshold comparison result;

[0098] S43, the adaptation and processing equipment parameters include equipment type record data, equipment operation power data and equipment operation speed data;

[0099] S44. The treatment process parameters include hydraulic retention time data, sludge retention time data and volumetric load data.

[0100] It should be noted that a threshold comparison is performed between the obtained wastewater treatment characteristic index and the preset wastewater treatment characteristic threshold, and the adaptive treatment equipment parameters and the adaptive treatment process parameters are selected according to the threshold comparison results, wherein the adaptive treatment equipment parameters include data on equipment type, equipment operating power and equipment operating speed, and the treatment process parameters include data on hydraulic retention time, sludge retention time and volumetric load, and these parameters play an important role and play a key role in the subsequent wastewater treatment process.

[0101] According to an embodiment of the present invention, the step of obtaining characteristic data of water quality at the water outlet, performing quality assessment based on the characteristic data, and obtaining a water quality inspection index includes:

[0102] Obtain characteristic data of water quality at the outlet, including chemical oxygen demand data, biochemical oxygen demand data and heavy metal content data of the outlet water quality;

[0103] Perform a quality assessment based on the effluent water quality chemical oxygen demand data, effluent water quality biochemical oxygen demand data, effluent water quality suspended solids content data, and effluent water quality heavy metal content data to obtain a water quality inspection index;

[0104] The calculation formula of the water quality inspection index is:

[0105] ;

[0106] in, is the water quality inspection index, , , , They are the chemical oxygen demand data of effluent water quality, the biochemical oxygen demand data of effluent water quality, the suspended solids content data of effluent water quality, and the heavy metal content data of effluent water quality. To preset the water quality treatment compensation factor, , , , It is the preset characteristic coefficient (the compensation factor and characteristic coefficient are obtained by querying the preset wastewater treatment monitoring platform database).

[0107] It should be noted that before the wastewater treatment process is completed, the water quality at the outlet is monitored and characteristic data of the water quality is obtained, including the chemical oxygen demand data of the effluent water quality, the biochemical oxygen demand data of the effluent water quality and the heavy metal content data of the effluent water quality. A quality assessment is carried out based on the above data to obtain the water quality inspection index, in preparation for the next step of judging the water quality treatment effect.

[0108] According to an embodiment of the present invention, the actual operation data of the equipment is obtained, and the actual energy consumption index of the wastewater treatment operation is obtained by processing the data in combination with the monitoring data of the wastewater, including:

[0109] Obtaining actual operation data of the device, including actual operation duration data, actual operation average power data, and actual average operation speed data;

[0110] According to the actual operation time data, the actual operation average power and the actual average operation speed data, and in combination with the wastewater monitoring data, an actual energy consumption index of the wastewater treatment operation is obtained;

[0111] The calculation formula of the actual energy consumption index is:

[0112] ;

[0113] in, is the actual energy consumption index, , , They are actual operation time data, actual operation average power data, and actual average operation speed data. , , They are wastewater flow data, wastewater temperature data, and wastewater turbidity data. , , , , , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset wastewater treatment monitoring platform database).

[0114] It should be noted that the energy consumption of the entire wastewater treatment process needs to be paid special attention to. Therefore, it is necessary to obtain the actual operation data of the equipment, including the actual operation time data, the actual operation average power and the actual average operation speed data. Then, based on the above data and the wastewater monitoring data, the actual energy consumption index of the wastewater treatment operation is obtained.

[0115] According to an embodiment of the present invention, the effectiveness evaluation is performed based on the water quality inspection index in combination with the actual energy consumption index to obtain the wastewater treatment effectiveness index, including:

[0116] According to the water quality inspection index and the actual energy consumption index, the effectiveness evaluation is performed through a preset water quality benefit evaluation model to obtain a wastewater treatment effectiveness index;

[0117] The calculation formula of the wastewater treatment effectiveness index is:

[0118] ;

[0119] in, is the wastewater treatment effectiveness index, , They are water quality inspection index and actual energy consumption index. , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset wastewater treatment monitoring platform database).

[0120] It should be noted that in order to monitor the wastewater treatment process more intelligently, the effectiveness index can be obtained by evaluating the water quality inspection index in combination with the actual energy consumption index through the calculation formula of the preset water quality benefit evaluation model.

[0121] According to an embodiment of the present invention, it also includes:

[0122] Obtaining the operation data of the equipment since the last maintenance, including the total operation time data after maintenance, the use frequency data after maintenance, the total number of failures data after maintenance, and the maximum vibration data after maintenance;

[0123] Obtain environmental characteristic data of the area where the equipment is located since the last maintenance, including average temperature data, average humidity data, and average PM2.5 data;

[0124] According to the total operation time data after maintenance, the use frequency data after maintenance, the total number of failures after maintenance and the maximum vibration data after maintenance, the equipment reliability is evaluated in combination with the average temperature data, the average humidity data and the PM2.5 average value data to obtain the equipment status reliability index;

[0125] Comparing the equipment status reliability index with a preset status reliability threshold, and judging whether the equipment needs maintenance work according to the comparison result;

[0126] The calculation formula of the equipment status reliability index is:

[0127] ;

[0128] in, is the equipment status reliability index, , , , They are the total operation time data after maintenance, the frequency of use data after maintenance, the total number of failures data after maintenance, and the maximum vibration data after maintenance. , , They are average temperature data, average humidity data, and average PM2.5 data. , , , , , , , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset wastewater treatment monitoring platform database).

[0129] It should be noted that in order to discover potential equipment failure hazards in advance and perform maintenance and servicing in a timely manner, the equipment's operating data is analyzed to obtain the equipment's operating data since the last maintenance, including total operating time data after maintenance, frequency of use data after maintenance, total number of failures data after maintenance, and maximum vibration data after maintenance. In addition, the impact of environmental factors on the equipment needs to be considered. Therefore, the environmental characteristic data of the area where the equipment is located since the last maintenance is also obtained, including average temperature data, average humidity data, and PM2.5 average value data. The equipment reliability is evaluated based on the above operating data combined with the environmental characteristic data to obtain the equipment status reliability index. The equipment status reliability index is compared with the preset status reliability threshold, and the comparison result determines whether the equipment needs maintenance.

[0130] In a second aspect, the present invention further discloses a wastewater treatment intelligent monitoring system based on big data, comprising a memory and a processor, wherein the memory comprises a wastewater treatment intelligent monitoring method program based on big data, and when the wastewater treatment intelligent monitoring method program based on big data is executed by the processor, the following steps are implemented:

[0131] Monitor the wastewater at the water inlet in real time and collect corresponding characteristic information, and extract monitoring data of the wastewater and initial characteristic data of the wastewater;

[0132] Acquire the wastewater treatment demand data, and process the wastewater in combination with the wastewater monitoring data and the wastewater initial characteristic data to obtain a wastewater treatment characteristic index;

[0133] Performing a threshold comparison between the wastewater treatment characteristic index and a preset wastewater treatment characteristic threshold, and selecting adaptive treatment equipment parameters and adaptive treatment process parameters according to the threshold comparison result;

[0134] According to the adapted treatment equipment parameters and the adapted treatment process parameters, the equipment and the treatment process are adjusted and configured respectively, and the wastewater is treated by the wastewater treatment operation;

[0135] Obtain characteristic data of water quality at the outlet, conduct quality assessment based on the characteristic data, and obtain a water quality inspection index;

[0136] Acquire the actual operation data of the equipment, and process it in combination with the monitoring data of the wastewater to obtain the actual energy consumption index of the wastewater treatment operation;

[0137] Performing effectiveness evaluation based on the water quality inspection index combined with the actual energy consumption index to obtain a wastewater treatment effectiveness index;

[0138] A threshold comparison is performed based on the wastewater treatment effectiveness index and a preset effectiveness threshold, and the wastewater treatment effect is evaluated based on the threshold comparison result, and the wastewater treatment plan is adjusted accordingly.

[0139] It should be noted that turning waste into treasure is a vital technology. Therefore, wastewater treatment technology plays a very important role in industry. In order to reduce the dependence on the means of adding chemical agents, a more environmentally friendly process is adopted to achieve wastewater treatment, and at the same time, the accuracy and intelligence of wastewater treatment process monitoring are greatly improved. First, the wastewater at the water inlet is monitored in real time and the corresponding characteristic information is collected, and the monitoring data and the initial characteristic data of the wastewater are extracted, and the wastewater treatment demand data is combined for processing to obtain the wastewater treatment characteristic index. According to the wastewater treatment characteristic index, the adaptation treatment equipment parameters and the adaptation treatment process parameters are selected and respectively The equipment and treatment process are adjusted and configured to carry out wastewater treatment operations. Furthermore, the characteristic data of the water quality at the outlet is obtained, and the quality is evaluated to obtain the water quality inspection index. The actual operation data of the equipment is obtained and processed in combination with the monitoring data to obtain the actual energy consumption index of the wastewater treatment operation. The effectiveness is evaluated based on the water quality inspection index combined with the actual energy consumption index to obtain the wastewater treatment effectiveness index, and a threshold comparison is made with the preset effectiveness threshold. The wastewater treatment effect is evaluated based on the threshold comparison results, and the wastewater treatment plan is adjusted accordingly, thereby realizing the technology of intelligent monitoring of wastewater treatment based on big data.

[0140] According to an embodiment of the present invention, the real-time monitoring of wastewater at the water inlet and the collection of corresponding characteristic information, and the extraction of monitoring data of the wastewater and initial characteristic data of the wastewater include:

[0141] Real-time monitoring of wastewater at the water inlet and collection of corresponding characteristic information, including chemical composition information, physical property information and pollutant type information;

[0142] Processing the chemical composition information, physical property information, and pollutant type information through a preset wastewater feature recognition model to obtain monitoring data of the wastewater and initial wastewater feature data;

[0143] The monitoring data includes wastewater flow data, wastewater temperature data and wastewater turbidity data;

[0144] The initial wastewater characteristic data include wastewater pH value data, wastewater chemical oxygen demand data, wastewater biochemical oxygen demand data and heavy metal content data.

[0145] It should be noted that in order to better treat wastewater and make the process more effective, it is crucial to select suitable treatment equipment and processes. Therefore, it is necessary to monitor the wastewater at the water inlet in real time and collect corresponding characteristic information, including chemical composition information, physical property information and pollutant type information, and process it through a preset wastewater characteristic recognition model to obtain wastewater monitoring data and initial wastewater characteristic data. Among them, the wastewater characteristic recognition model is a neural network model. The initialized wastewater characteristic recognition model is trained based on a large amount of historical wastewater characteristic information to obtain a trained wastewater characteristic recognition model. The monitoring data includes wastewater flow data, wastewater temperature data and wastewater turbidity data. The initial wastewater characteristic data includes wastewater pH value data, wastewater chemical oxygen demand data, wastewater biochemical oxygen demand data and heavy metal content data.

[0146] According to an embodiment of the present invention, the step of obtaining the wastewater treatment demand data and processing the wastewater in combination with the wastewater monitoring data and the wastewater initial characteristic data to obtain the wastewater treatment characteristic index includes:

[0147] Obtaining the wastewater treatment demand data, including discharge standard record data and reuse requirement record data;

[0148] Processing the wastewater treatment characteristic index based on the discharge standard record data and the reuse requirement record data in combination with the wastewater monitoring data and the wastewater initial characteristic data;

[0149] The calculation formula of the wastewater treatment characteristic index is:

[0150] ;

[0151] in, is the wastewater treatment characteristic index, , , They are wastewater flow data, wastewater temperature data, and wastewater turbidity data. , , , They are wastewater pH data, wastewater chemical oxygen demand data, wastewater biochemical oxygen demand data, and heavy metal content data. , They are emission standard record data and reuse requirement record data. , , , , , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset wastewater treatment monitoring platform database).

[0152] It should be noted that further wastewater treatment demand data is obtained, including discharge standard record data and reuse requirement record data, and then combined with wastewater monitoring data and wastewater initial characteristic data for processing to obtain the wastewater treatment characteristic index.

[0153] According to an embodiment of the present invention, performing a threshold comparison between the wastewater treatment characteristic index and a preset wastewater treatment characteristic threshold, and selecting an adaptive treatment equipment parameter and an adaptive treatment process parameter according to the threshold comparison result, includes:

[0154] Performing a threshold comparison based on the wastewater treatment characteristic index and a preset wastewater treatment characteristic threshold;

[0155] Selecting the adaptive processing equipment parameters and the adaptive processing process parameters according to the threshold comparison result;

[0156] The adapted processing equipment parameters include equipment type record data, equipment operation power data and equipment operation speed data;

[0157] The treatment process parameters include hydraulic retention time data, sludge retention time data and volumetric load data.

[0158] It should be noted that a threshold comparison is performed between the obtained wastewater treatment characteristic index and the preset wastewater treatment characteristic threshold, and the adaptive treatment equipment parameters and the adaptive treatment process parameters are selected according to the threshold comparison results, wherein the adaptive treatment equipment parameters include data on equipment type, equipment operating power and equipment operating speed, and the treatment process parameters include data on hydraulic retention time, sludge retention time and volumetric load, and these parameters play an important role and play a key role in the subsequent wastewater treatment process.

[0159] According to an embodiment of the present invention, the step of obtaining characteristic data of water quality at the water outlet, performing quality assessment based on the characteristic data, and obtaining a water quality inspection index includes:

[0160] Obtain characteristic data of water quality at the outlet, including chemical oxygen demand data, biochemical oxygen demand data and heavy metal content data of the outlet water quality;

[0161] Perform a quality assessment based on the effluent water quality chemical oxygen demand data, effluent water quality biochemical oxygen demand data, effluent water quality suspended solids content data, and effluent water quality heavy metal content data to obtain a water quality inspection index;

[0162] The calculation formula of the water quality inspection index is:

[0163] ;

[0164] in, is the water quality inspection index, , , , They are the chemical oxygen demand data of effluent water quality, the biochemical oxygen demand data of effluent water quality, the suspended solids content data of effluent water quality, and the heavy metal content data of effluent water quality. To preset the water quality treatment compensation factor, , , , It is the preset characteristic coefficient (the compensation factor and characteristic coefficient are obtained by querying the preset wastewater treatment monitoring platform database).

[0165] It should be noted that before the wastewater treatment process is completed, the water quality at the outlet is monitored and characteristic data of the water quality is obtained, including the chemical oxygen demand data of the effluent water quality, the biochemical oxygen demand data of the effluent water quality and the heavy metal content data of the effluent water quality. A quality assessment is carried out based on the above data to obtain the water quality inspection index, in preparation for the next step of judging the water quality treatment effect.

[0166] According to an embodiment of the present invention, the actual operation data of the equipment is obtained, and the actual energy consumption index of the wastewater treatment operation is obtained by processing the data in combination with the monitoring data of the wastewater, including:

[0167] Obtaining actual operation data of the device, including actual operation duration data, actual operation average power data, and actual average operation speed data;

[0168] According to the actual operation time data, the actual operation average power and the actual average operation speed data, and in combination with the wastewater monitoring data, an actual energy consumption index of the wastewater treatment operation is obtained;

[0169] The calculation formula of the actual energy consumption index is:

[0170] ;

[0171] in, is the actual energy consumption index, , , They are actual operation time data, actual operation average power data, and actual average operation speed data. , , They are wastewater flow data, wastewater temperature data, and wastewater turbidity data. , , , , , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset wastewater treatment monitoring platform database).

[0172] It should be noted that the energy consumption of the entire wastewater treatment process needs to be paid special attention to. Therefore, it is necessary to obtain the actual operation data of the equipment, including the actual operation time data, the actual operation average power and the actual average operation speed data. Then, based on the above data and the wastewater monitoring data, the actual energy consumption index of the wastewater treatment operation is obtained.

[0173] According to an embodiment of the present invention, the effectiveness evaluation is performed based on the water quality inspection index in combination with the actual energy consumption index to obtain the wastewater treatment effectiveness index, including:

[0174] According to the water quality inspection index and the actual energy consumption index, the effectiveness evaluation is performed through a preset water quality benefit evaluation model to obtain a wastewater treatment effectiveness index;

[0175] The calculation formula of the wastewater treatment effectiveness index is:

[0176] ;

[0177] in, is the wastewater treatment effectiveness index, , They are water quality inspection index and actual energy consumption index. , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset wastewater treatment monitoring platform database).

[0178] It should be noted that in order to monitor the wastewater treatment process more intelligently, the effectiveness index can be obtained by evaluating the water quality inspection index in combination with the actual energy consumption index through the calculation formula of the preset water quality benefit evaluation model.

[0179] According to an embodiment of the present invention, it also includes:

[0180] Obtaining the operation data of the equipment since the last maintenance, including the total operation time data after maintenance, the use frequency data after maintenance, the total number of failures data after maintenance, and the maximum vibration data after maintenance;

[0181] Obtain environmental characteristic data of the area where the equipment is located since the last maintenance, including average temperature data, average humidity data, and average PM2.5 data;

[0182] According to the total operation time data after maintenance, the use frequency data after maintenance, the total number of failures after maintenance and the maximum vibration data after maintenance, the equipment reliability is evaluated in combination with the average temperature data, the average humidity data and the PM2.5 average value data to obtain the equipment status reliability index;

[0183] Comparing the equipment status reliability index with a preset status reliability threshold, and judging whether the equipment needs maintenance work according to the comparison result;

[0184] The calculation formula of the equipment status reliability index is:

[0185] ;

[0186] in, is the equipment status reliability index, , , , They are the total operation time data after maintenance, the frequency of use data after maintenance, the total number of failures data after maintenance, and the maximum vibration data after maintenance. , , They are average temperature data, average humidity data, and average PM2.5 data. , , , , , , , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset wastewater treatment monitoring platform database).

[0187] It should be noted that in order to discover potential equipment failure hazards in advance and perform maintenance and servicing in a timely manner, the equipment's operating data is analyzed to obtain the equipment's operating data since the last maintenance, including total operating time data after maintenance, frequency of use data after maintenance, total number of failures data after maintenance, and maximum vibration data after maintenance. In addition, the impact of environmental factors on the equipment needs to be considered. Therefore, the environmental characteristic data of the area where the equipment is located since the last maintenance is also obtained, including average temperature data, average humidity data, and PM2.5 average value data. The equipment reliability is evaluated based on the above operating data combined with the environmental characteristic data to obtain the equipment status reliability index. The equipment status reliability index is compared with the preset status reliability threshold, and the comparison result determines whether the equipment needs maintenance.

[0188] A third aspect of the present invention provides a readable storage medium, which stores a program for an intelligent monitoring method for wastewater treatment based on big data. When the program for the intelligent monitoring method for wastewater treatment based on big data is executed by a processor, the steps of the intelligent monitoring method for wastewater treatment based on big data as described in any one of the above items are implemented.

[0189] The invention discloses a method, system and medium for intelligent monitoring of wastewater treatment based on big data. The method monitors the wastewater at the water inlet in real time and collects the corresponding characteristic information, extracts the monitoring data and the initial characteristic data of the wastewater, and processes the data in combination with the treatment demand data of the wastewater to obtain the wastewater treatment characteristic index. According to the wastewater treatment characteristic index, the parameters of the adaptive treatment equipment and the adaptive treatment process parameters are selected, and the equipment and the treatment process are adjusted and configured respectively, so as to perform wastewater treatment operation on the wastewater. Furthermore, the characteristic data of the water quality at the water outlet is obtained, and the quality is evaluated to obtain the water quality inspection index. The actual operation data of the equipment is obtained, and the data is processed in combination with the monitoring data to obtain the actual energy consumption index of the wastewater treatment operation. The effectiveness is evaluated in combination with the water quality inspection index and the actual energy consumption index to obtain the wastewater treatment effectiveness index, and the threshold is compared with the preset effectiveness threshold. The wastewater treatment effect is evaluated according to the threshold comparison result, and the wastewater treatment plan is adjusted accordingly, thereby realizing the technology of intelligent monitoring of wastewater treatment based on big data.

[0190] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0191] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0192] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0193] Those skilled in the art can understand that: all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, the aforementioned program can be stored in a readable storage medium, and when the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), disks or optical disks, and other media that can store program codes.

[0194] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

Claims

1. A wastewater treatment intelligent monitoring method based on big data, characterized in that: The following steps are involved: Monitor the wastewater at the water inlet in real time and collect corresponding characteristic information, and extract monitoring data of the wastewater and initial characteristic data of the wastewater; Acquire the wastewater treatment demand data, and process the wastewater in combination with the wastewater monitoring data and the wastewater initial characteristic data to obtain a wastewater treatment characteristic index; Performing a threshold comparison between the wastewater treatment characteristic index and a preset wastewater treatment characteristic threshold, and selecting adaptive treatment equipment parameters and adaptive treatment process parameters according to the threshold comparison result; According to the adapted treatment equipment parameters and the adapted treatment process parameters, the equipment and the treatment process are adjusted and configured respectively, and the wastewater is treated by the wastewater treatment operation; Obtain characteristic data of water quality at the outlet, conduct quality assessment based on the characteristic data, and obtain a water quality inspection index; Acquire the actual operation data of the equipment, and process it in combination with the monitoring data of the wastewater to obtain the actual energy consumption index of the wastewater treatment operation; Performing effectiveness evaluation based on the water quality inspection index combined with the actual energy consumption index to obtain a wastewater treatment effectiveness index; Performing a threshold comparison between the wastewater treatment effectiveness index and a preset effectiveness threshold, evaluating the wastewater treatment effect according to the threshold comparison result, and adjusting the wastewater treatment plan accordingly; The effectiveness evaluation is performed based on the water quality inspection index and the actual energy consumption index to obtain the wastewater treatment effectiveness index, including: According to the water quality inspection index and the actual energy consumption index, the effectiveness evaluation is performed through a preset water quality benefit evaluation model to obtain a wastewater treatment effectiveness index; The calculation formula of the wastewater treatment effectiveness index is: ； in, is the wastewater treatment effectiveness index, , They are water quality inspection index and actual energy consumption index. , is the preset characteristic coefficient.

2. The intelligent monitoring method for wastewater treatment based on big data according to claim 1 is characterized in that: The real-time monitoring of the wastewater at the water inlet and the collection of corresponding characteristic information, and the extraction of the monitoring data of the wastewater and the initial characteristic data of the wastewater include: Real-time monitoring of wastewater at the water inlet and collection of corresponding characteristic information, including chemical composition information, physical property information and pollutant type information; Processing the chemical composition information, physical property information, and pollutant type information through a preset wastewater feature recognition model to obtain monitoring data of the wastewater and initial wastewater feature data; The monitoring data includes wastewater flow data, wastewater temperature data and wastewater turbidity data; The initial wastewater characteristic data include wastewater pH value data, wastewater chemical oxygen demand data, wastewater biochemical oxygen demand data and heavy metal content data.

3. The intelligent monitoring method for wastewater treatment based on big data according to claim 2 is characterized in that: The obtaining of the wastewater treatment demand data and processing in combination with the wastewater monitoring data and the wastewater initial characteristic data to obtain the wastewater treatment characteristic index includes: Obtaining the wastewater treatment demand data, including discharge standard record data and reuse requirement record data; The wastewater treatment characteristic index is obtained by processing the wastewater according to the emission standard record data and the reuse requirement record data in combination with the wastewater monitoring data and the wastewater initial characteristic data.

4. The intelligent monitoring method for wastewater treatment based on big data according to claim 3 is characterized in that: The step of comparing the wastewater treatment characteristic index with a preset wastewater treatment characteristic threshold, and selecting an adaptive treatment equipment parameter and an adaptive treatment process parameter according to the threshold comparison result, includes: Performing a threshold comparison based on the wastewater treatment characteristic index and a preset wastewater treatment characteristic threshold; Selecting the adaptive processing equipment parameters and the adaptive processing process parameters according to the threshold comparison result; The adapted processing equipment parameters include equipment type record data, equipment operation power data and equipment operation speed data; The treatment process parameters include hydraulic retention time data, sludge retention time data and volumetric load data.

5. The intelligent monitoring method for wastewater treatment based on big data according to claim 4 is characterized in that: The method of obtaining characteristic data of water quality at the water outlet, performing quality assessment based on the characteristic data, and obtaining a water quality inspection index includes: Obtain characteristic data of water quality at the outlet, including chemical oxygen demand data of outlet water quality, biochemical oxygen demand data of outlet water quality, suspended solids content data of outlet water quality, and heavy metal content data of outlet water quality; A quality assessment is performed based on the effluent water quality chemical oxygen demand data, effluent water quality biochemical oxygen demand data, effluent water quality suspended solids content data and effluent water quality heavy metal content data to obtain a water quality inspection index.

6. The intelligent monitoring method for wastewater treatment based on big data according to claim 5 is characterized in that: The actual operation data of the equipment is obtained and processed in combination with the monitoring data of the wastewater to obtain the actual energy consumption index of the wastewater treatment operation, including: Obtaining actual operation data of the device, including actual operation duration data, actual operation average power data, and actual average operation speed data; The actual energy consumption index of the wastewater treatment operation is obtained by processing the actual operation duration data, the actual operation average power and the actual average operation speed data in combination with the wastewater monitoring data.

7. A wastewater treatment intelligent monitoring system based on big data, characterized in that: The system includes: a memory and a processor, wherein the memory includes a program of a wastewater treatment intelligent monitoring method based on big data, and when the program of the wastewater treatment intelligent monitoring method based on big data is executed by the processor, the following steps are implemented: Monitor the wastewater at the water inlet in real time and collect corresponding characteristic information, and extract monitoring data of the wastewater and initial characteristic data of the wastewater; Acquire the wastewater treatment demand data, and process the wastewater in combination with the wastewater monitoring data and the wastewater initial characteristic data to obtain a wastewater treatment characteristic index; Performing a threshold comparison between the wastewater treatment characteristic index and a preset wastewater treatment characteristic threshold, and selecting adaptive treatment equipment parameters and adaptive treatment process parameters according to the threshold comparison result; According to the adapted treatment equipment parameters and the adapted treatment process parameters, the equipment and the treatment process are adjusted and configured respectively, and the wastewater is treated by the wastewater treatment operation; Obtain characteristic data of water quality at the outlet, conduct quality assessment based on the characteristic data, and obtain a water quality inspection index; Acquire the actual operation data of the equipment, and process it in combination with the monitoring data of the wastewater to obtain the actual energy consumption index of the wastewater treatment operation; Performing effectiveness evaluation based on the water quality inspection index combined with the actual energy consumption index to obtain a wastewater treatment effectiveness index; Performing a threshold comparison between the wastewater treatment effectiveness index and a preset effectiveness threshold, evaluating the wastewater treatment effect according to the threshold comparison result, and adjusting the wastewater treatment plan accordingly; The effectiveness evaluation is performed based on the water quality inspection index and the actual energy consumption index to obtain the wastewater treatment effectiveness index, including: According to the water quality inspection index and the actual energy consumption index, the effectiveness evaluation is performed through a preset water quality benefit evaluation model to obtain a wastewater treatment effectiveness index; The calculation formula of the wastewater treatment effectiveness index is: ； in, is the wastewater treatment effectiveness index, , They are water quality inspection index and actual energy consumption index. , is the preset characteristic coefficient.

8. The wastewater treatment intelligent monitoring system based on big data according to claim 7 is characterized in that: The real-time monitoring of the wastewater at the water inlet and the collection of corresponding characteristic information, and the extraction of the monitoring data of the wastewater and the initial characteristic data of the wastewater include: Real-time monitoring of wastewater at the water inlet and collection of corresponding characteristic information, including chemical composition information, physical property information and pollutant type information; Processing the chemical composition information, physical property information, and pollutant type information through a preset wastewater feature recognition model to obtain monitoring data of the wastewater and initial wastewater feature data; The monitoring data includes wastewater flow data, wastewater temperature data and wastewater turbidity data; The initial wastewater characteristic data include wastewater pH value data, wastewater chemical oxygen demand data, wastewater biochemical oxygen demand data and heavy metal content data.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a program for an intelligent monitoring method for wastewater treatment based on big data. When the program for the intelligent monitoring method for wastewater treatment based on big data is executed by a processor, the steps of the intelligent monitoring method for wastewater treatment based on big data as described in any one of claims 1 to 6 are implemented.

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