A water pollution treatment equipment operation and maintenance inspection method based on data analysis

Abstract

The present invention discloses a method for operating and maintaining water pollution treatment equipment based on data analysis, and relates to the technical field of equipment maintenance and inspection. The method for operating and maintaining water pollution treatment equipment based on data analysis outputs the number of water pollution treatment equipment that can be inspected by the current inspector in this inspection by analyzing the data of the current inspector and the inspection records of the sewage treatment plant inspection platform, and then marks the water pollution treatment equipment that needs maintenance and inspection in the current inspection according to the inspection demand degree of each equipment and the number of water pollution treatment equipment that can be inspected by the current inspector in this inspection, and then generates the inspection route of the current inspection based on data analysis, and adjusts the inspection route of the current inspection based on the real-time monitoring of the sewage treatment effect of each water pollution treatment equipment in the sewage treatment plant. This makes the inspection route targeted and efficient, and can provide timely feedback and maintenance for the situation in which the sewage treatment effect of the water pollution treatment equipment that occurs in real time has problems.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment maintenance and inspection, and in particular to a method for operation maintenance and inspection of water pollution treatment equipment based on data analysis. Background Art

[0002] With the increasing shortage of water resources and the intensification of water pollution problems, the operation and maintenance of water pollution treatment equipment has become increasingly important. Effective operation and maintenance inspection methods can help to timely detect equipment problems, improve equipment operating efficiency, and ensure the safety and sustainable development of the water environment.

[0003] Traditional maintenance and inspection methods for water pollution treatment equipment require a large amount of human resources, but resources are limited and costly. At the same time, traditional inspection routes are often based on fixed paths or periodic plans, lacking in specificity and efficiency. Therefore, it is impossible to obtain timely feedback and maintenance for real-time problems in the sewage treatment effect of water pollution treatment equipment.

[0004] With the development of sensor technology and data acquisition technology, it has become possible to monitor the operating status and water quality treatment effect of water pollution treatment equipment in real time. By adding equipment with poor sewage treatment effect that is monitored in real time to the inspection process, problems can be discovered and dealt with in a timely manner to ensure the water quality treatment effect. At the same time, through data analysis, it is expected to scientifically determine the number and allocation of inspection personnel based on factors such as the needs of the inspection task and the importance of the equipment, and achieve optimal allocation of human resources. It is also expected to generate optimized inspection routes based on the importance of the equipment, sewage treatment effect, and distance, making the inspection process more efficient and reasonable, thereby improving the operating efficiency and reliability of water pollution treatment equipment and ensuring the safety and sustainable development of the water environment.

[0005] Therefore, in response to the above problems, there is an urgent need for a water pollution treatment equipment operation and maintenance inspection method based on data analysis. Summary of the invention

[0006] In view of the shortcomings of the prior art, the present invention provides a water pollution treatment equipment operation and maintenance inspection method based on data analysis, which solves the problems that the water pollution equipment maintenance inspection method requires a large amount of human resource investment, the inspection route is based on a fixed path and cycle and lacks pertinence and efficiency, and the real-time water pollution treatment equipment sewage treatment effect The situation of problems cannot be fed back and maintained in time.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: a water pollution treatment equipment operation and maintenance inspection method based on data analysis, comprising the following steps: obtaining the current inspection personnel data based on the sewage treatment plant inspection platform, and outputting the number of water pollution treatment equipment that can be inspected by the current inspection personnel through analysis of the current inspection personnel data and the inspection records of the sewage treatment plant inspection platform; based on the historical inspection records and basic information analysis of each water pollution treatment equipment in the sewage treatment plant, evaluating the degree of demand for the current inspection of each water pollution treatment equipment, and then evaluating the water pollution treatment equipment that can be inspected by the current inspection personnel based on the degree of demand and the water pollution treatment equipment that can be inspected by the current inspection personnel. Analyze the number of equipment and mark the water pollution treatment equipment that needs maintenance and inspection during the current inspection; generate the inspection route for the current inspection based on the geographical location of the water pollution treatment equipment that needs maintenance and inspection during the current inspection and the geographical location of the current inspection personnel, combined with the sewage treatment process records of the sewage plant; obtain the sewage sample data after treatment by each water pollution treatment equipment in real time, combine the treatment effect requirements of each water pollution treatment equipment in the sewage plant with the sewage sample data analysis, monitor the sewage treatment effect of each water pollution treatment equipment in the sewage plant in real time, mark the water pollution treatment equipment whose sewage treatment effect does not meet the treatment effect requirements, and adjust the inspection route of the current inspection.

[0008] Furthermore, the specific analysis process for outputting the number of water pollution treatment equipment that the current inspector can inspect during the current inspection is as follows: based on the current inspector data analysis, the inspection capability characteristics of the current inspection are obtained, and then the mean of the inspection capability characteristics of the current inspection is obtained; based on the inspection record analysis of the sewage treatment plant inspection platform, the personnel data of each recorded inspection is obtained, and then the mean of the capability characteristics of each recorded inspection is obtained; based on the Euclidean distance analysis, the capability similarity value of the mean of the inspection capability characteristics of the current inspection and the mean of the capability characteristics of each recorded inspection is obtained, and the recorded inspection with the largest capability similarity value is marked as the corresponding inspection of the current inspection, and the number of inspection equipment of the corresponding inspection is obtained based on the sewage treatment plant inspection platform as the number of water pollution treatment equipment that the current inspector can inspect during the current inspection.

[0009] Further, the specific analysis process of obtaining the inspection capability characteristics of the current inspection is as follows: the current inspection personnel data specifically includes: the current number of inspection personnel, the inspection speed of each inspection personnel, and the inspection accuracy of each inspection personnel; based on the inspection speed of each inspection personnel and the inspection accuracy of each inspection personnel, the capability characteristic value of each inspection personnel is obtained, and then the inspection capability characteristics of the current inspection are obtained in combination with the current number of inspection personnel: A = (X1, X2, X3, ..., X n ), A represents the number of current inspectors, n represents the number of current inspectors, X n It represents the capability characteristic value of the nth current patrol personnel, and the mean value of the patrol capability characteristic of the current patrol is represented by Y A .

[0010] Furthermore, the specific analysis of the water pollution treatment equipment marked as needing maintenance and inspection during the current inspection is as follows: numbering each water pollution treatment equipment in the sewage treatment plant, and obtaining the inspection demand index of each water pollution treatment equipment based on the historical inspection records and basic information analysis of each water pollution treatment equipment, wherein the inspection demand index is used to numerically represent the urgency of the water pollution treatment equipment needing to be inspected; sorting each water pollution treatment equipment in the sewage treatment plant according to the size of the inspection demand index of each water pollution treatment equipment, and combining the number of water pollution treatment equipment that can be inspected by the current inspection personnel during the current inspection, selecting a corresponding number of water pollution treatment equipment in accordance with the order of the inspection demand index as the water pollution treatment equipment needing maintenance and inspection during the current inspection.

[0011] Furthermore, the specific analysis process for obtaining the inspection demand index of each water pollution treatment equipment is as follows: obtaining the historical inspection records and basic information of each water pollution treatment equipment in the sewage treatment plant, and preprocessing and feature extracting the historical inspection records and basic information to obtain the historical inspection record data set and basic information data set of each water pollution treatment equipment in the sewage treatment plant; the historical inspection record data set specifically includes: the time since the last inspection; the basic information data set specifically includes: the number of equipment failures, the remaining life of the equipment; obtaining the reference value of the inspection interval time, the reference value of the number of equipment failures, and the reference value of the remaining life of the equipment based on the sewage treatment plant inspection platform; comparing and analyzing the time since the last inspection, the number of equipment failures, and the remaining life of the equipment with the reference value of the inspection interval time, the reference value of the number of equipment failures, and the reference value of the remaining life of the equipment, respectively, and assigning weights to the time since the last inspection, the number of equipment failures, and the remaining life of the equipment for weighted synthesis to obtain the inspection demand index of each water pollution treatment equipment.

[0012] Furthermore, the specific analysis process of generating the inspection route of the current inspection is: numbering the water pollution treatment equipment that needs maintenance and inspection during the current inspection, and obtaining the initial inspection sequence evaluation value of the water pollution treatment equipment that needs maintenance and inspection during the current inspection, wherein the initial inspection sequence evaluation value is used to numerically represent the efficiency of the inspection personnel inspecting the water pollution treatment equipment that needs maintenance and inspection during the current inspection;

[0013] Select the water pollution treatment equipment with the largest initial inspection order evaluation value as the initial inspection equipment, and then obtain the geographical location of the initial inspection equipment, update the geographical location of the current inspection personnel to the geographical location of the initial inspection equipment, update the second inspection order evaluation values ​​of the remaining water pollution treatment equipment that need maintenance and inspection, select the water pollution treatment equipment with the largest second inspection order evaluation value as the second inspection equipment, and repeat the above steps until the inspection order of all water pollution treatment equipment that need maintenance and inspection during the current inspection is generated.

[0014] Furthermore, the specific analysis process for obtaining the initial inspection sequence evaluation value of the water pollution treatment equipment that needs maintenance and inspection during the current inspection is as follows: based on the geographical location of the water pollution treatment equipment that needs maintenance and inspection during the current inspection and the geographical location of the current inspection personnel, the distance between the water pollution treatment equipment that needs maintenance and inspection during the current inspection and the location of the current inspection personnel is generated; by analyzing the records of the sewage treatment process of the sewage treatment plant, the sewage treatment operation sequence of each water pollution treatment equipment that needs maintenance and inspection during the current inspection is obtained, and according to the sewage treatment operation sequence, each water pollution treatment equipment that needs maintenance and inspection during the current inspection is assigned a sewage treatment operation sequence score, and the sewage treatment operation sequence score is used to numerically represent the order of use of the water pollution treatment equipment in the sewage treatment process; by weighted analysis of the distance between the water pollution treatment equipment that needs maintenance and inspection during the current inspection and the current inspection personnel and the sewage treatment operation sequence scores of each water pollution treatment equipment that needs maintenance and inspection during the current inspection, the initial inspection sequence evaluation value of the water pollution treatment equipment that needs maintenance and inspection during the current inspection is obtained.

[0015] Furthermore, the specific analysis process of adjusting the inspection route of the current inspection is: marking the water pollution treatment equipment whose sewage treatment effect does not meet the treatment effect requirements marked by real-time monitoring as the water pollution treatment equipment that needs maintenance and inspection during the current inspection; obtaining the real-time geographic location of the inspection personnel, updating the inspection sequence evaluation value of the water pollution treatment equipment whose sewage treatment effect does not meet the treatment effect requirements marked by real-time monitoring, and further generating the inspection sequence of all water pollution treatment equipment whose sewage treatment effect does not meet the treatment effect requirements marked by real-time monitoring.

[0016] Furthermore, the specific analysis of the real-time monitoring of the sewage treatment effect of each water pollution treatment equipment in the sewage treatment plant is as follows: based on the analysis of the sewage sample data after treatment by each water pollution treatment equipment obtained in real time, the sewage treatment effect evaluation index of each water pollution treatment equipment is obtained, and the sewage treatment effect evaluation index is used to digitally display the sewage condition after the water pollution treatment equipment treats the sewage; based on the treatment effect demand analysis of each water pollution treatment equipment in the sewage treatment plant, the sewage treatment effect threshold of each water pollution treatment equipment is obtained; comparative analysis of the sewage treatment effect evaluation index of each water pollution treatment equipment and the sewage treatment effect threshold corresponding to the equipment, marking the water pollution treatment equipment whose sewage treatment effect evaluation index is less than the sewage treatment effect threshold corresponding to the equipment as the water pollution treatment equipment whose sewage treatment effect does not meet the treatment effect demand.

[0017] Furthermore, the specific analysis process for obtaining the sewage treatment effect evaluation index of each water pollution treatment equipment is as follows: the sewage sample data after treatment by each water pollution treatment equipment specifically includes: inorganic salt concentration, pH value, and conductivity; through weighted comprehensive analysis of inorganic salt concentration, pH value, and conductivity, the sewage treatment effect evaluation index of each water pollution treatment equipment is obtained.

[0018] The present invention has the following beneficial effects:

[0019] (1) This method for operating and maintaining water pollution treatment equipment based on data analysis can reasonably allocate the inspection tasks of the inspection personnel by analyzing the data of the current inspection personnel and the historical inspection records of each water pollution treatment equipment in the sewage treatment plant, optimize the utilization of human resources, and ensure that each water pollution treatment equipment can be inspected and maintained in a timely manner; by evaluating the current inspection demand level of each water pollution treatment equipment and combining the number of inspection personnel and geographical location, a reasonable inspection route can be formulated to minimize the inspection time and distance and improve the operation efficiency; by obtaining the sewage sample data after treatment by the water pollution treatment equipment in real time and analyzing it in combination with the treatment effect requirements, the sewage treatment effect of the water pollution treatment equipment can be monitored in real time, and the equipment with substandard treatment effect can be found in time, and corresponding adjustment and maintenance measures can be taken to ensure that the water quality meets the standard; by marking the water pollution treatment equipment with substandard treatment effect and adjusting the inspection route, problems in the operation of the equipment can be found and solved in time, the level of equipment maintenance and management can be improved, and the service life of the equipment can be extended; optimizing the inspection route and timely finding the equipment with substandard treatment effect can reduce failures and downtime in operation, reduce maintenance costs and additional costs caused by equipment damage, thereby reducing operating costs.

[0020] (2) This method of operating, maintaining and inspecting water pollution treatment equipment based on data analysis can use data analysis technology to obtain and process the operation, inspection and sewage sample data of sewage treatment equipment in real time, so that monitoring and maintenance can respond in the shortest time. Data processing technology can realize automatic integration, analysis and processing of large amounts of data, reduce the need for manual intervention, improve efficiency and reduce the possibility of errors. It can analyze and compare data with high precision, so as to more accurately evaluate the operating status and treatment effect of water pollution treatment equipment, help to timely discover problems and propose solutions. Based on the data analysis results, inspection route planning and equipment maintenance scheduling can be carried out intelligently, making inspection and maintenance more targeted and efficient, reducing operating costs and maintenance costs, and reducing waste of resources.

[0021] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 This is a flow chart of a water pollution treatment equipment operation, maintenance and inspection method based on data analysis according to the present invention. DETAILED DESCRIPTION

[0023] The embodiment of the present application solves the problem that the water pollution treatment equipment maintenance and inspection method requires a large amount of human resources investment, the inspection route is based on a fixed path and cycle and lacks specificity and efficiency, and the real-time water pollution treatment equipment sewage treatment effect The problems of problems cannot be fed back and maintained in time.

[0024] The overall idea of ​​the problem in the embodiment of this application is as follows:

[0025] By analyzing the data of current inspection personnel and historical inspection records, the current inspection demand level of each water pollution treatment equipment is evaluated, and the water pollution treatment equipment that needs maintenance and inspection is determined according to the degree of demand; the optimal inspection route for the current inspection is generated based on the geographical location of the current inspection personnel and the geographical location of the water pollution treatment equipment that needs maintenance and inspection, as well as the sewage treatment process records, to ensure the efficiency and comprehensiveness of the inspection; the sewage sample data after treatment of each water pollution treatment equipment is obtained in real time, and the sewage treatment effect of the water pollution treatment equipment is monitored in real time in combination with the treatment effect requirements and sewage sample data analysis, and the equipment that does not meet the treatment effect requirements is marked, and the current inspection route is adjusted as needed to ensure timely maintenance and adjustment.

[0026] See also Figure 1 The embodiment of the present invention provides a technical solution: a method for operation and maintenance inspection of water pollution treatment equipment based on data analysis, comprising the following steps: obtaining the data of current inspection personnel based on the inspection platform of a sewage treatment plant, and outputting the number of water pollution treatment equipment that can be inspected by the current inspection personnel in the current inspection by analyzing the data of the current inspection personnel and the inspection records of the inspection platform of the sewage treatment plant; evaluating the demand degree of the current inspection of each water pollution treatment equipment based on the historical inspection records and basic information analysis of each water pollution treatment equipment in the sewage treatment plant, and then marking the water pollution treatment equipment that needs maintenance inspection in the current inspection according to the demand degree and the number of water pollution treatment equipment that can be inspected by the current inspection personnel in the current inspection; generating the inspection route of the current inspection based on the geographical location of the water pollution treatment equipment that needs maintenance inspection in the current inspection and the geographical location analysis of the current inspection personnel, combined with the sewage treatment process records of the sewage treatment plant; obtaining the sewage sample data after treatment of each water pollution treatment equipment in real time, combining the treatment effect requirements of each water pollution treatment equipment in the sewage treatment plant with the sewage sample data analysis, monitoring the sewage treatment effect of each water pollution treatment equipment in the sewage treatment plant in real time, marking the water pollution treatment equipment whose sewage treatment effect does not meet the treatment effect requirements, and adjusting the inspection route of the current inspection.

[0027] Specifically, the specific analysis process for outputting the number of water pollution treatment equipment that the current inspector can inspect during the current inspection is as follows: based on the current inspector data analysis, the inspection capability characteristics of the current inspection are obtained, and then the mean value of the inspection capability characteristics of the current inspection is obtained; based on the inspection record analysis of the sewage treatment plant inspection platform, the personnel data of each recorded inspection is obtained, and then the mean value of the capability characteristics of each recorded inspection is obtained; based on the Euclidean distance analysis, the capability similarity value of the mean value of the inspection capability characteristics of the current inspection and the mean value of the capability characteristics of each recorded inspection is obtained, and the recorded inspection with the largest capability similarity value is marked as the corresponding inspection of the current inspection, and the number of inspection equipment of the corresponding inspection is obtained based on the sewage treatment plant inspection platform as the number of water pollution treatment equipment that the current inspector can inspect during the current inspection.

[0028] In this implementation scheme, the specific analysis process of obtaining the inspection capability characteristics of the current inspection is as follows: the current inspection personnel data specifically includes: the current number of inspectors, the inspection speed of each inspector, and the inspection accuracy of each inspector; based on the inspection speed of each inspector and the inspection accuracy of each inspector, the capability characteristic value of each inspector is obtained, and then the inspection capability characteristics of the current inspection are obtained in combination with the current number of inspectors: A = (X1, X2, X3, ..., X n ), A represents the number of current inspectors, n represents the number of current inspectors, X n It represents the capability characteristic value of the nth current patrol personnel, and the mean value of the patrol capability characteristic of the current patrol is represented by Y A .

[0029] The specific analysis of the capability similarity values ​​of the mean inspection capability characteristics of the current inspection and the mean capability characteristics of each recorded inspection based on Euclidean distance analysis is as follows: The specific formula for cluster analysis is:

[0030] Where i represents the inspection record number of the sewage treatment plant inspection platform, i = 1, 2, 3, ..., i', Y A represents the mean value of the inspection capability characteristics of the current inspection, Y B represents the mean value of the capability characteristics of each inspection record of the sewage treatment plant inspection platform, Y B =(Y B1 , Y B2 , Y B3 , ..., Y Bi ), d(Y A , Y B ) represents the Euclidean distance between the mean of the inspection capability characteristics of the current inspection and the mean of the capability characteristics of each inspection recorded on the sewage treatment plant inspection platform, Y BiThe specific algorithm formula for the capability similarity between the mean inspection capability characteristic of the inspection record numbered i and the mean inspection capability characteristic of the current inspection and the mean capability characteristic of each inspection record is: Where sim(Y A , Y B ) represents the capability similarity value between the mean of the inspection capability characteristics of the current inspection and the mean of the capability characteristics of each recorded inspection, sim(Y A , Y B ) ranges from 0 to 1, sim(Y A , Y B ) indicates a higher similarity.

[0031] The specific method for obtaining the current number of inspectors, the inspection speed and accuracy of each inspector is as follows: the sewage treatment plant inspection platform stores the relevant information of each inspection, including the identity information of the inspectors, the start and end time of the inspection, the specific equipment or area inspected, and the operation records during the inspection. At the same time, a communication connection is set up with the inspectors. The inspectors punch in through the sewage treatment plant inspection platform before going to work. The platform counts the number of inspectors and obtains the inspection speed and inspection accuracy stored by the inspectors on the platform. The inspectors are equipped with GPS positioning devices, and the sewage treatment plant inspection platform obtains the geographic location information of the inspectors in real time, thereby determining their actual inspection scope and route, and then obtaining the inspection speed. According to the data recorded by the inspection platform, combined with the inspection content and inspection results of the inspectors, the accuracy of each inspector is counted and analyzed.

[0032] By analyzing the data of patrol inspectors, their patrol capability characteristics can be objectively evaluated, including patrol speed and accuracy indicators, to avoid the deviation caused by subjective evaluation. According to the patrol capability characteristics of each patrol inspector, patrol tasks can be customized so that each patrol inspector can give full play to his or her advantages and improve patrol efficiency and accuracy. By analyzing the historical patrol records of the sewage treatment plant patrol platform, the mean of the capability characteristics of each recorded patrol can be obtained, so as to understand the average capability level of patrol inspectors and provide a reference for the capability evaluation of the current patrol. By analyzing the similarity between the capability characteristic means through Euclidean distance, the historical patrol inspection with the most similar capability to the current patrol inspector can be found, so as to determine the corresponding patrol inspection, which improves the accuracy and reliability of the evaluation. According to the number of water pollution treatment equipment that the current patrol inspector can inspect during the patrol, patrol inspectors can be reasonably deployed, resource allocation can be optimized, and patrol efficiency and coverage can be improved.

[0033] Specifically, the specific analysis of marking the water pollution treatment equipment that needs maintenance and inspection during the current inspection is as follows: numbering each water pollution treatment equipment in the sewage plant, and based on the historical inspection records and basic information analysis of each water pollution treatment equipment, obtaining the inspection demand index of each water pollution treatment equipment, the inspection demand index is used to numerically represent the urgency of the water pollution treatment equipment for inspection; sorting each water pollution treatment equipment in the sewage plant according to the size of the inspection demand index of each water pollution treatment equipment, and combining the number of water pollution treatment equipment that can be inspected by the current inspection personnel during the inspection, a corresponding number of water pollution treatment equipment are selected in order of the size of the inspection demand index as the water pollution treatment equipment that needs maintenance and inspection during the current inspection.

[0034] In this implementation plan, the specific analysis process for obtaining the inspection demand index of each water pollution treatment equipment is as follows: obtaining the historical inspection records and basic information of each water pollution treatment equipment in the sewage treatment plant, and preprocessing and feature extraction of the historical inspection records and basic information to obtain the historical inspection record data set and basic information data set of each water pollution treatment equipment in the sewage treatment plant; the historical inspection record data set specifically includes: the time since the last inspection; the basic information data set specifically includes: the number of equipment failures, the remaining life of the equipment; obtaining the reference value of the inspection interval time, the reference value of the number of equipment failures, and the reference value of the remaining life of the equipment based on the sewage treatment plant inspection platform; comparing and analyzing the time since the last inspection, the number of equipment failures, and the remaining life of the equipment with the reference value of the inspection interval time, the reference value of the number of equipment failures, and the reference value of the remaining life of the equipment, respectively, and assigning weights to the time since the last inspection, the number of equipment failures, and the remaining life of the equipment for weighted synthesis to obtain the inspection demand index of each water pollution treatment equipment.

[0035] The specific calculation formula for the inspection demand index of each water pollution treatment equipment is: Where j represents the serial number of each water pollution treatment equipment in the sewage plant, j = 1, 2, 3, ..., j', j' represents the total number of water pollution treatment equipment in the sewage plant, XZB j represents the inspection demand index of the water pollution treatment equipment of the jth sewage plant, φ 1j represents the time from the last inspection of the water pollution treatment equipment of the jth sewage plant, and represents the time interval from the last inspection to the current one, φ 2j represents the number of equipment failures of the water pollution treatment equipment of the jth sewage plant, and represents the number of equipment failures within a certain period of time, φ 3jIt represents the remaining life of the water pollution treatment equipment of the jth sewage plant, and it represents the time the equipment is expected to operate normally. Δφ1 represents the reference value of the inspection interval, Δφ2 represents the reference value of the number of equipment failures, Δφ3 represents the reference value of the remaining life of the equipment, ω1 represents the weight factor of the time from the last inspection, ω2 represents the weight factor of the number of equipment failures, and ω3 represents the weight factor of the remaining life of the equipment.

[0036] The time since the last inspection is obtained by recording the timestamp of each inspection and then calculating the time interval using the current time and the timestamp of the last inspection. The number of equipment failures is obtained by recording the timestamp of each equipment failure and then counting the number of failures within a certain period of time. The remaining life of the equipment is obtained by estimating the remaining life of the equipment based on the design life and historical maintenance records of the equipment, combined with the current status and operation of the equipment, using a predictive model or professional knowledge.

[0037] The specific method for obtaining reference values ​​of inspection interval duration, number of equipment failures and remaining life of equipment is analyzed as follows: by analyzing the historical data of the sewage treatment plant inspection platform, including inspection records, maintenance records, and equipment operation conditions, reference values ​​of inspection interval duration, number of equipment failures and remaining life of equipment are obtained; experts or practitioners in the field of sewage treatment equipment can also provide reference values ​​of inspection interval duration, number of equipment failures and remaining life of equipment based on their experience and knowledge; or data analysis techniques and models can be used to predict and analyze the operation of sewage treatment equipment to obtain reference values ​​of inspection interval duration, number of equipment failures and remaining life of equipment.

[0038] The setting of weight factors in the calculation of inspection demand indicators determines the importance of the time since the last inspection, the number of equipment failures, and the remaining life of the equipment in the overall assessment. The specific design method is: for the time since the last inspection, the number of equipment failures, and the remaining life of the equipment, their relative importance in the inspection demand assessment is determined through expert opinions, historical data analysis, and risk assessment. According to the determined relative importance, a weight ratio is assigned to each indicator. If the equipment failure has a greater impact on the equipment operation, then a higher weight can be assigned to the number of equipment failures. If the remaining life of the equipment is more important for preventive maintenance, then a higher weight can be assigned to the remaining life of the equipment. In addition to considering the importance of the indicators, it is also necessary to comprehensively consider management needs and resource allocation. For example, if the remaining life of the equipment has a greater impact on management decisions, then a higher weight can be assigned to the remaining life of the equipment.

[0039] By sorting the water pollution treatment equipment according to the size of the inspection demand index, we can clearly understand the inspection urgency of each equipment, which helps to reasonably arrange the execution order of the inspection tasks; combined with the number of water pollution treatment equipment that can be inspected by the current inspection personnel, the corresponding number of equipment can be selected for inspection according to the size of the inspection demand index, thereby achieving optimal allocation of inspection resources, ensuring that key equipment is inspected and maintained in a timely manner, improving inspection efficiency, and reducing potential risks and losses. The numerical representation of the inspection demand index makes the assessment of equipment inspection needs more scientific and objective, provides managers with scientific decision-making support, and helps to reasonably arrange resources and improve management efficiency.

[0040] Specifically, the specific analysis process for generating the inspection route of the current inspection is as follows: number the water pollution treatment equipment that needs maintenance and inspection during the current inspection, and obtain the initial inspection sequence evaluation value of the water pollution treatment equipment that needs maintenance and inspection during the current inspection, the initial inspection sequence evaluation value is used to numerically represent the effectiveness of the inspection personnel in inspecting the water pollution treatment equipment that needs maintenance and inspection during the current inspection; select the water pollution treatment equipment with the largest initial inspection sequence evaluation value as the initial inspection equipment, and then obtain the geographical location of the initial inspection equipment, update the geographical location of the current inspection personnel to the geographical location of the initial inspection equipment, update the second inspection sequence evaluation value of the remaining water pollution treatment equipment that needs maintenance and inspection, select the water pollution treatment equipment with the largest second inspection sequence evaluation value as the second inspection equipment, and repeat the above steps until the inspection sequence of all water pollution treatment equipment that need maintenance and inspection during the current inspection is generated.

[0041] In this implementation scheme, the specific analysis process for obtaining the initial inspection sequence evaluation value of the water pollution treatment equipment that needs maintenance and inspection during the current inspection is as follows: based on the geographical location of the water pollution treatment equipment that needs maintenance and inspection during the current inspection and the geographical location of the current inspection personnel, the distance between the water pollution treatment equipment that needs maintenance and inspection during the current inspection and the current inspection personnel's location is generated; by analyzing the records of the sewage treatment process of the sewage treatment plant, the sewage treatment operation sequence of each water pollution treatment equipment that needs maintenance and inspection during the current inspection is obtained, and according to the sewage treatment operation sequence, each water pollution treatment equipment that needs maintenance and inspection during the current inspection is assigned a sewage treatment operation sequence score, and the sewage treatment operation sequence score is used to numerically represent the order in which the water pollution treatment equipment is used in the sewage treatment process; by performing a weighted analysis on the distance between the water pollution treatment equipment that needs maintenance and inspection during the current inspection and the current inspection personnel and the sewage treatment operation sequence scores of each water pollution treatment equipment that needs maintenance and inspection during the current inspection, the initial inspection sequence evaluation value of the water pollution treatment equipment that needs maintenance and inspection during the current inspection is obtained.

[0042] The calculation formula for the initial inspection sequence evaluation value is:

[0043] Where h represents the number of the water pollution treatment equipment that needs to be maintained and inspected during the current inspection, h = 1, 2, 3, ..., h′, h′ represents the total number of water pollution treatment equipment that needs to be maintained and inspected during the current inspection, SXJ h represents the initial inspection order evaluation value of the water pollution treatment equipment that needs maintenance inspection at the hth current inspection, β 1h represents the distance between the hth water pollution treatment equipment that needs maintenance and inspection and the current inspector, β 2h It represents the sewage treatment operation sequence score of the h-th water pollution treatment equipment that needs maintenance and inspection during the current inspection. Δβ1 represents the reference value of the distance between the water pollution treatment equipment and the inspection personnel. r1 represents the weight factor of the distance between the water pollution treatment equipment that needs maintenance and inspection during the current inspection and the current inspection personnel. r2 represents the weight factor of the sewage treatment operation sequence score.

[0044] The geographical location of the water pollution treatment equipment is obtained by using a GPS device or a built-in GPS function to obtain the precise geographical location information of the water pollution treatment equipment using satellite signals; the current geographical location of the inspector is obtained by using the inspector's mobile phone or a dedicated GPS device to obtain his or her current geographical location information; the sewage treatment operation sequence of the water pollution treatment equipment is obtained by consulting the sewage treatment process records of the sewage treatment plant to understand the operation sequence of each water pollution treatment equipment during the treatment process, and the historical operation records or production logs can also be consulted to understand the actual use sequence and operation process of the equipment. to obtain; the reference value of the distance between the water pollution treatment equipment and the inspection personnel is obtained by analyzing historical inspection records or inspection routes, understanding the location data between the water pollution treatment equipment and the inspection personnel, and based on the location data, determining a reference average distance value as a reference value for future inspections; the weight factor of the distance between the water pollution treatment equipment that needs to be maintained and inspected during the current inspection and the current inspection personnel and the sewage treatment operation sequence score is obtained by evaluating these two factors through experts in the field of water pollution treatment, and determining the weight factor based on their experience and expertise. Historical inspection records and equipment operation data can also be used for data analysis. Statistical analysis or machine learning algorithms and other methods can be used to determine the degree of influence of the distance between the water pollution treatment equipment and the inspection personnel and the sewage treatment operation sequence score on the inspection effect, thereby obtaining the weight factor.

[0045] Study the sewage treatment process records of the sewage treatment plant, understand the usage order and operation steps of each water pollution treatment equipment in the treatment process, and assign sewage treatment operation order scores to each water pollution treatment equipment that currently needs maintenance and inspection according to the usage order of the equipment in the sewage treatment process records. The equipment that is used earlier is assigned a higher score, indicating its importance and priority in the sewage treatment process. According to the sewage treatment operation order score assigned to each equipment, the water pollution treatment equipment that currently needs maintenance and inspection is sorted, which ensures the logic and effectiveness of the inspection, makes the inspection route more reasonable and efficient, reduces the inspection time and distance, and improves the inspection efficiency.

[0046] The water pollution treatment equipment that currently needs maintenance and inspection is numbered for subsequent evaluation and selection. For each numbered water pollution treatment equipment, the maintenance benefit is evaluated according to its location distance and sewage treatment operation process, and an initial inspection sequence evaluation value is given. The water pollution treatment equipment with the largest initial inspection sequence evaluation value is selected as the initial inspection equipment. After the initial inspection equipment is selected, the geographical location of the current inspection personnel is updated to the geographical location of the initial inspection equipment to ensure the rationality and efficiency of the inspection route. According to the selection result of the initial inspection equipment, the second inspection sequence evaluation value of the remaining water pollution treatment equipment that needs maintenance and inspection is updated. Repeat the above steps and select the water pollution treatment equipment with the largest second inspection sequence evaluation value as the next inspection equipment until the inspection sequence of all equipment is determined, making the inspection route more reasonable and efficient, and ensuring that the equipment with a large inspection benefit and an advantageous distance location is first maintained and inspected, thereby maximizing the equipment's operating efficiency and water quality management level.

[0047] Specifically, the specific analysis process of adjusting the inspection route of the current inspection is: marking the water pollution treatment equipment whose sewage treatment effect does not meet the treatment effect requirements marked by real-time monitoring as the water pollution treatment equipment that needs maintenance and inspection during the current inspection; obtaining the real-time geographic location of the inspection personnel, updating the inspection sequence evaluation value of the water pollution treatment equipment whose sewage treatment effect does not meet the treatment effect requirements marked by real-time monitoring, and further generating the inspection sequence of all water pollution treatment equipment whose sewage treatment effect does not meet the treatment effect requirements marked by real-time monitoring.

[0048] In this implementation plan, based on the real-time monitored sewage treatment effect data, water pollution treatment equipment that has not met the treatment effect requirements will be marked. These equipment will be regarded as targets that need maintenance and inspection in the current inspection. The GPS positioning system or other geographic location acquisition tools will be used to obtain the real-time geographic location information of the inspectors. According to the real-time geographic location of the inspectors, the inspection order evaluation value of the marked water pollution treatment equipment will be updated. Considering that equipment closer to the inspectors has a higher inspection priority, according to the updated inspection order evaluation value, inspection routes for all water pollution treatment equipment that need maintenance and inspection are generated, which improves the efficiency and accuracy of the inspection, can ensure the water quality treatment effect, and improve the operating stability of the water pollution treatment system and the water quality management level.

[0049] Specifically, the specific analysis of the sewage treatment effect of each water pollution treatment equipment in the sewage treatment plant is monitored in real time as follows: based on the analysis of sewage sample data after treatment by each water pollution treatment equipment obtained in real time, the sewage treatment effect evaluation index of each water pollution treatment equipment is obtained, and the sewage treatment effect evaluation index is used to digitally display the sewage condition after the sewage is treated by the water pollution treatment equipment; based on the treatment effect demand analysis of each water pollution treatment equipment in the sewage treatment plant, the sewage treatment effect threshold of each water pollution treatment equipment is obtained; comparative analysis of the sewage treatment effect evaluation index of each water pollution treatment equipment and the sewage treatment effect threshold corresponding to the equipment, marking the water pollution treatment equipment whose sewage treatment effect evaluation index is less than the sewage treatment effect threshold corresponding to the equipment as the water pollution treatment equipment whose sewage treatment effect does not meet the treatment effect demand.

[0050] In this implementation scheme, the specific analysis process for obtaining the sewage treatment effect evaluation index of each water pollution treatment equipment is as follows: the sewage sample data after treatment by each water pollution treatment equipment specifically includes: inorganic salt concentration, pH value, and conductivity; through weighted comprehensive analysis of inorganic salt concentration, pH value, and conductivity, the sewage treatment effect evaluation index of each water pollution treatment equipment is obtained.

[0051] The specific calculation formula for the sewage treatment effect evaluation index of each water pollution treatment equipment is: ;Formula WXG j represents the sewage treatment effect evaluation index of the jth sewage treatment plant water pollution treatment equipment, μ 1j It represents the inorganic salt concentration of sewage after the sewage is treated by the water pollution treatment equipment of the jth sewage plant, and is an indicator of the acidity and alkalinity of the aqueous solution, μ 2j It represents the pH value of the sewage after the sewage is treated by the water pollution treatment equipment of the jth sewage plant, and is an indicator of the acidity and alkalinity of the aqueous solution. 3jIt represents the conductivity of sewage after the sewage is treated by the water pollution treatment equipment of the jth sewage plant. It represents the measure of the conductivity of the water sample. Δμ1 represents the reference value of sewage inorganic salt concentration. Δμ2 represents the reference value of sewage pH. Δμ3 represents the reference value of sewage conductivity. τ1 represents the weight factor of inorganic salt concentration. τ2 represents the weight factor of pH value. τ3 represents the weight factor of conductivity.

[0052] The organic salt concentration is obtained by collecting sewage samples and then using chemical analysis methods, such as ion chromatography and atomic absorption spectrometry, to determine the concentration of salt substances in the water, or by testing the sewage samples with a conductivity instrument. Since conductivity is related to the concentration of salt substances, the organic salt concentration can be indirectly estimated based on the conductivity measurement results; the pH value is obtained by testing the sewage samples with a pH electrode and a pH instrument, directly measuring the pH value of the water sample, or using pH test paper to drop the sewage sample on the test paper and estimate the pH value based on the color change of the test paper; the conductivity is obtained by testing the sewage samples with a dedicated conductivity instrument, directly measuring the conductivity of the water sample, or using a conductivity meter to test the sewage samples to obtain the conductivity value of the water sample; obtaining reference values ​​for inorganic salt concentration, pH value and conductivity The method is: according to relevant laws and regulations or government regulations, obtain reference values ​​of inorganic salt concentration, pH value and conductivity, or according to the standards or guidelines of the water treatment industry, obtain reference values ​​of inorganic salt concentration, pH value and conductivity. Historical water quality monitoring data can also be analyzed to obtain reference values ​​of inorganic salt concentration, pH value and conductivity. The weight factors of inorganic salt concentration, pH value and conductivity are obtained specifically as follows: experts in the field of water treatment evaluate the importance of each parameter in water quality monitoring and treatment based on their experience and knowledge, determine the importance and weight factor of each parameter, consider the degree of influence of each parameter on water quality and the different requirements of different sewage treatment processes for parameters, and adjust them. Historical data analysis or simulation experimental methods can also be used to evaluate the degree of influence of different parameters on water quality and determine the weight factors accordingly.

[0053] By analyzing the sewage treatment effect in real time, it is possible to promptly discover equipment that does not meet the treatment standards, which helps to take timely measures to make adjustments and improvements to ensure the water quality treatment effect; based on the sewage treatment effect demand analysis, the maintenance strategy can be optimized according to the actual operation and effect of the equipment, and the stability and treatment efficiency of the equipment can be improved; digital evaluation and monitoring of sewage treatment effects can improve the level of water quality management, ensure water quality safety, and meet the needs of environmental protection and water resources management.

[0054] In summary, this application has at least the following effects:

[0055] By analyzing the inspection personnel data and the equipment demand level, the inspection routes and inspection quantity are optimized, the inspection efficiency is improved, the redundant inspection work is reduced, and time and labor costs are saved; by evaluating the historical inspection records and the equipment demand level, it is possible to more accurately determine which equipment requires priority maintenance and inspection, thereby optimizing the equipment maintenance strategy, reducing maintenance costs, and extending the equipment life; by acquiring the treated sewage sample data in real time and analyzing it in combination with the treatment effect requirements, the sewage treatment effect of each water pollution treatment equipment can be monitored in real time, and equipment with substandard treatment effects can be discovered in time, which helps to adjust and optimize the treatment process in time and ensure water quality safety; timely discovery and marking of equipment with substandard treatment effects can effectively reduce environmental risks that may be caused by poor treatment effects, and protect the surrounding environment and people's health; integrating inspection data and equipment operation data for analysis can help improve the management level of sewage treatment plants and make management more scientific and efficient.

[0056] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0057] The present invention is described with reference to a flowchart of a method according to an embodiment of the present invention. It should be understood that the combination of each process in the flowchart can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the steps in the flowchart. Figure 1 A device that specifies functions in a process or multiple processes.

[0058] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A function specified in a process or multiple processes.

[0059] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 The steps of a specified function in a process or multiple processes.

[0060] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0061] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A water pollution treatment equipment operation maintenance inspection method based on data analysis, characterized in that: The following steps are involved: Based on the sewage treatment plant inspection platform, the current inspection personnel data is obtained, and by analyzing the current inspection personnel data and the inspection records of the sewage treatment plant inspection platform, the number of water pollution treatment equipment that the current inspection personnel can inspect during the inspection is output; Among them, the specific analysis process of outputting the number of water pollution treatment equipment that the current inspector can inspect during the inspection is: Based on the data analysis of the current patrol personnel, the patrol capability characteristics of the current patrol are obtained, and then the mean value of the patrol capability characteristics of the current patrol is obtained; Based on the inspection record analysis of the sewage treatment plant inspection platform, the personnel data of each inspection record is obtained, and then the mean value of the capability characteristics of each inspection record is obtained; Based on Euclidean distance analysis, the capability similarity value of the mean inspection capability characteristic of the current inspection and the mean capability characteristic of each recorded inspection is obtained, and the recorded inspection with the largest capability similarity value is marked as the corresponding inspection of the current inspection. Based on the sewage plant inspection platform, the number of inspection equipment of the corresponding inspection is obtained as the number of water pollution treatment equipment that the current inspector can inspect during the inspection; The specific analysis process for obtaining the inspection capability characteristics of the current inspection is as follows: The current patrol personnel data specifically includes: the current number of patrol personnel, the patrol speed of each patrol personnel, and the patrol accuracy of each patrol personnel; Based on the inspection speed and inspection accuracy of each inspector, the capability characteristic value of each inspector is obtained, and then combined with the current number of inspectors, the inspection capability characteristics of the current inspection are obtained: , Indicates the current number of inspectors to obtain the inspection capability characteristics of the current inspection. Indicates the current number of inspections. Indicates The capability characteristic values ​​of the current patrol personnel, and the mean value of the patrol capability characteristic of the current patrol is expressed as ; Based on the historical inspection records and basic information analysis of each water pollution treatment equipment in the sewage plant, the current inspection demand of each water pollution treatment equipment is evaluated, and then according to the demand level and the number of water pollution treatment equipment that can be inspected by the current inspection personnel, the water pollution treatment equipment that needs maintenance and inspection is marked; Based on the geographical location of the water pollution treatment equipment that needs to be maintained and inspected during the current inspection and the geographical location analysis of the current inspection personnel, combined with the sewage treatment process records of the sewage plant, the inspection route of the current inspection is generated; The specific analysis process for generating the inspection route of the current inspection is as follows: The water pollution treatment equipment that needs maintenance and inspection during the current inspection is numbered, and an initial inspection sequence evaluation value of the water pollution treatment equipment that needs maintenance and inspection during the current inspection is obtained, wherein the initial inspection sequence evaluation value is used to numerically represent the efficiency of the inspection personnel inspecting the water pollution treatment equipment that needs maintenance and inspection during the current inspection; Select the water pollution treatment equipment with the largest initial inspection order evaluation value as the initial inspection equipment, and then obtain the geographical location of the initial inspection equipment, update the geographical location of the current inspection personnel to the geographical location of the initial inspection equipment, update the second inspection order evaluation values ​​of the remaining water pollution treatment equipment that need maintenance and inspection, select the water pollution treatment equipment with the largest second inspection order evaluation value as the second inspection equipment, and repeat the above steps until the inspection order of all water pollution treatment equipment that need maintenance and inspection during the current inspection is generated; The specific analysis process for obtaining the initial inspection sequence evaluation value of the water pollution treatment equipment that needs maintenance inspection at the current inspection is as follows: Based on the geographical location of the water pollution treatment equipment that needs maintenance and inspection during the current inspection and the geographical location of the current inspection personnel, the distance between the water pollution treatment equipment that needs maintenance and inspection during the current inspection and the location of the current inspection personnel is generated; By analyzing the records of the sewage treatment process of the sewage treatment plant, the sewage treatment operation sequence of each water pollution treatment equipment that needs maintenance and inspection during the current inspection is obtained, and the sewage treatment operation sequence score is assigned to each water pollution treatment equipment that needs maintenance and inspection during the current inspection according to the sewage treatment operation sequence. The sewage treatment operation sequence score is used to numerically represent the order of use of the water pollution treatment equipment in the sewage treatment process; By performing a weighted analysis on the distance between the water pollution treatment equipment that needs maintenance and inspection during the current inspection and the location of the current inspection personnel and the sewage treatment operation sequence scores of each water pollution treatment equipment that needs maintenance and inspection during the current inspection, an initial inspection sequence evaluation value of the water pollution treatment equipment that needs maintenance and inspection during the current inspection is obtained; Obtain the sewage sample data after treatment by each water pollution treatment equipment in real time, combine the treatment effect requirements of each water pollution treatment equipment in the sewage plant with the sewage sample data analysis, monitor the sewage treatment effect of each water pollution treatment equipment in the sewage plant in real time, mark the water pollution treatment equipment whose sewage treatment effect does not meet the treatment effect requirements, and adjust the current inspection route; Among them, the specific analysis process of adjusting the inspection route of the current inspection is: The water pollution treatment equipment whose sewage treatment effect does not meet the treatment effect requirement marked by real-time monitoring is marked as the water pollution treatment equipment that needs maintenance and inspection during the current inspection; The real-time geographic location of the inspection personnel is obtained, and the inspection order evaluation value of the water pollution treatment equipment whose sewage treatment effect does not meet the treatment effect requirements marked by real-time monitoring is updated, and the inspection order of all water pollution treatment equipment whose sewage treatment effect does not meet the treatment effect requirements marked by real-time monitoring is further generated.

2. According to a data analysis-based water pollution treatment equipment operation and maintenance inspection method according to claim 1, it is characterized in that: The specific analysis of the water pollution treatment equipment marked as requiring maintenance inspection during the current inspection is as follows: Number each water pollution treatment equipment in the sewage plant, and obtain the inspection demand index of each water pollution treatment equipment based on the historical inspection records and basic information analysis of each water pollution treatment equipment. The inspection demand index is used to numerically indicate the urgency of the water pollution treatment equipment to be inspected; According to the inspection demand index of each water pollution treatment equipment, the various water pollution treatment equipment in the sewage plant are ranked, and combined with the number of water pollution treatment equipment that can be inspected by the current inspection personnel during the inspection, the corresponding number of water pollution treatment equipment are selected in order of the inspection demand index as the water pollution treatment equipment that needs to be maintained and inspected during the inspection.

3. A water pollution treatment equipment operation maintenance inspection method based on data analysis according to claim 2, characterized in that: The specific analysis process of obtaining the inspection demand index of each water pollution treatment equipment is as follows: Obtain the historical inspection records and basic information of each water pollution treatment equipment in the sewage plant, and pre-process and extract features of the historical inspection records and basic information to obtain the historical inspection record data set and basic information data set of each water pollution treatment equipment in the sewage plant; The historical inspection record data set specifically includes: the time since the last inspection; The basic information data set specifically includes: number of equipment failures, remaining equipment life; Based on the sewage plant inspection platform, obtain reference values ​​for inspection intervals, equipment failure times, and equipment remaining life; The time since the last inspection, the number of equipment failures, and the remaining life of the equipment are compared and analyzed with the reference value of the inspection interval, the reference value of the number of equipment failures, and the reference value of the remaining life of the equipment, and weights are assigned to the time since the last inspection, the number of equipment failures, and the remaining life of the equipment, respectively, for weighted comprehensive analysis to obtain the inspection demand indicators for each water pollution treatment equipment.

4. The method for operation, maintenance and inspection of water pollution treatment equipment based on data analysis according to claim 1 is characterized in that: The specific analysis of the real-time monitoring of the sewage treatment effect of each water pollution treatment equipment in the sewage plant is as follows: Based on the real-time acquired sewage sample data analysis after being treated by each water pollution treatment equipment, the sewage treatment effect evaluation index of each water pollution treatment equipment is obtained, and the sewage treatment effect evaluation index is used to digitally display the sewage condition after being treated by the water pollution treatment equipment; Based on the treatment effect demand analysis of each water pollution treatment equipment in the sewage plant, the sewage treatment effect threshold of each water pollution treatment equipment is obtained; Compare and analyze the sewage treatment effect evaluation index of each water pollution treatment equipment with the sewage treatment effect threshold corresponding to the equipment, and mark the water pollution treatment equipment whose sewage treatment effect evaluation index is less than the sewage treatment effect threshold corresponding to the equipment as water pollution treatment equipment whose sewage treatment effect does not meet the treatment effect requirements.

5. A water pollution treatment equipment operation maintenance inspection method based on data analysis according to claim 4, characterized in that: The specific analysis process of obtaining the sewage treatment effect evaluation index of each water pollution treatment equipment is as follows: The data of wastewater samples after treatment by each water pollution treatment equipment specifically include: inorganic salt concentration, pH value, and conductivity; Through weighted comprehensive analysis of inorganic salt concentration, pH value and conductivity, the sewage treatment effect evaluation index of each water pollution treatment equipment is obtained.

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