A comprehensive evaluation and star rating assessment method for water plants

Abstract

The present application provides a method for comprehensive evaluation and star rating of a water plant, which relates to the field of data processing technology. The method includes: constructing a multi-dimensional star rating evaluation index for a water plant; obtaining a water quality monitoring data set, a water plant equipment monitoring data set, and a water plant safety monitoring data set; conducting a water quality evaluation based on the water quality monitoring data set to obtain a first evaluation result; conducting an equipment operation management level evaluation based on the water plant equipment monitoring data set to obtain a second evaluation result; conducting a water plant operation level evaluation based on the water plant safety monitoring data set to obtain a third evaluation result; and obtaining a star rating evaluation result for the water plant. The present application can solve the technical problem in the prior art that the star rating evaluation results of a water plant are inaccurate due to a single evaluation dimension. By evaluating the water plant in multiple dimensions, a refined water plant star rating evaluation can be achieved, thereby achieving the technical effect of improving the accuracy of the star rating results.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to a method for comprehensive evaluation and star rating of water plants. Background Art

[0002] With the acceleration of urbanization and the continuous growth of population, the demand for water resources is increasing, and the problem of water pollution is becoming increasingly serious. As an important infrastructure for urban water supply, the operation status and water quality safety of water plants are directly related to the quality of life and health of residents. Therefore, it is of great practical significance and social value to conduct a comprehensive evaluation of water plants to ensure their safe, efficient and stable operation.

[0003] In the comprehensive evaluation of water plants, a variety of technical methods and means are involved. First of all, water quality testing technology is one of the core technologies for the comprehensive evaluation of water plants. By adopting various advanced water quality testing instruments and methods, the water quality of the water plant's inlet, process and outlet is monitored and analyzed in real time to ensure the water quality standards. Secondly, digitalization and automation technology are also important technical supports for the comprehensive evaluation of water plants. Through the application of digital technology and automation equipment, the intelligent management and operation of water plants can be realized, production efficiency and management level can be improved, and operating costs and energy consumption can be reduced. In addition, big data and artificial intelligence technology also provide new ideas and means for the comprehensive evaluation of water plants. By collecting, analyzing and mining the operating data of water plants, the laws and trends hidden behind the data can be revealed, providing a scientific basis for decision-making. At the same time, the use of artificial intelligence technology to simulate and optimize the operation process of water plants can further improve the operating efficiency and safety of water plants.

[0004] With the continuous advancement of science and technology and the development of intelligent and information technology, the management and operation of water plants are also facing new challenges and opportunities. Traditional evaluation methods can no longer meet the needs of modern water plants. Therefore, it is necessary to adopt a more scientific, comprehensive and objective comprehensive evaluation method to comprehensively evaluate all aspects of water plants in order to promote the sustainable development of water plants.

[0005] In summary, there is a technical problem in the prior art that the star rating results of water plants are inaccurate due to the single evaluation dimension. Summary of the invention

[0006] The purpose of this application is to provide a comprehensive evaluation and star rating assessment method for water plants, so as to solve the technical problem in the prior art that the star rating results of water plants are inaccurate due to the single evaluation dimension.

[0007] In view of the above problems, the present application provides a method for comprehensive evaluation and star rating assessment of water plants, the method comprising: constructing a multidimensional star rating evaluation index for the water plant, wherein the multidimensional star rating evaluation index includes water quality indicators, water plant equipment status indicators and water plant safety production indicators; monitoring the water plant based on the multidimensional star rating evaluation index to obtain a water quality monitoring data set, a water plant equipment monitoring data set and a water plant safety monitoring data set; performing water quality evaluation based on the water quality monitoring data set to obtain a first evaluation result; performing equipment operation management level evaluation based on the water plant equipment monitoring data set to obtain a second evaluation result; performing water plant operation level evaluation based on the water plant safety monitoring data set to obtain a third evaluation result; and integrating the first evaluation result, the second evaluation result and the third evaluation result to perform star rating, and obtain a star rating evaluation result of the water plant.

[0008] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0009] Construct a multi-dimensional star rating index for a water plant, wherein the multi-dimensional star rating index includes water quality index, water plant equipment status index and water plant safety production index; monitor the water plant based on the multi-dimensional star rating index to obtain a water quality monitoring data set, a water plant equipment monitoring data set and a water plant safety monitoring data set; evaluate water quality based on the water quality monitoring data set to obtain a first evaluation result; evaluate the equipment operation management level based on the water plant equipment monitoring data set to obtain a second evaluation result; evaluate the water plant operation level based on the water plant safety monitoring data set to obtain a third evaluation result; integrate the first evaluation result, the second evaluation result and the third evaluation result to perform star rating certification and obtain the star rating evaluation result of the water plant. By evaluating the water plant in multiple dimensions, a refined water plant star rating can be achieved, thereby achieving the technical effect of improving the accuracy of the star rating results.

[0010] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented according to the contents of the specification, and in order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are specifically cited below. It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easy to understand through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the technical solutions in the present application or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0012] Figure 1 This application provides a flow chart of a comprehensive evaluation and star rating assessment method for a water plant. DETAILED DESCRIPTION

[0013] This application provides a comprehensive evaluation and star rating assessment method for water plants, which solves the technical problem in the prior art that the star rating results of water plants are inaccurate due to the single evaluation dimension. By evaluating water plants in multiple dimensions, a refined water plant star rating is achieved, achieving the technical effect of improving the accuracy of star rating results.

[0014] Below, the technical solutions in the present application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments of the present application. It should be understood that the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application. It should also be noted that, for the convenience of description, only the parts related to the present application are shown in the accompanying drawings, rather than all of them.

[0015] Please see attached Figure 1 The present application provides a method for comprehensive evaluation and star rating of a water plant, which specifically includes the following steps:

[0016] Step 1: construct a multi-dimensional star rating index for a water plant, wherein the multi-dimensional star rating index includes water quality index, water plant equipment status index and water plant safety production index;

[0017] Specifically, water quality indicators are the core indicators for evaluating the performance of water plants, which are directly related to the quality of water supply. The water quality indicators include multi-stage water treatment node detection indicators, which include raw water nodes, treatment process nodes and factory water nodes. The raw water node is the starting point of tap water treatment. The main detection indicators focus on the basic water quality of raw water, including pH value, temperature, turbidity, chromaticity, dissolved oxygen, total hardness, ammonia nitrogen, heavy metal content, total bacteria, coliform group and other indicators. The treatment process node is the core link of tap water treatment, involving multiple treatment steps and processes. The detection indicators of this stage mainly include coagulation effect, sedimentation effect, filtration performance, disinfection effect and other indicators. The factory water node is the last stage of tap water treatment and the last checkpoint of water quality control. The detection indicators of this stage are the most stringent, including conventional water quality indicators (such as turbidity, chromaticity, pH value, total coliform group, residual chlorine, etc.) and trace organic matter indicators (such as volatile organic matter, pesticide residues, etc.).

[0018] The water plant equipment status indicators reflect the operating status and maintenance level of the water plant equipment, including the water plant equipment operating status indicators; the water plant production safety indicators reflect the safety management level of the water plant, including the water quality safety indicators of the water plant.

[0019] Step 2: Monitor the water plant based on the multi-dimensional star rating index to obtain a water quality monitoring data set, a water plant equipment monitoring data set, and a water plant safety monitoring data set;

[0020] Specifically, according to the multi-dimensional star rating indicators including water quality indicators, water plant equipment status indicators and water plant safety production indicators, data collection is carried out on the water plant based on the existing technology to obtain water quality monitoring data sets, water plant equipment monitoring data sets and water plant safety monitoring data sets. Among them, the water quality monitoring data set includes monitoring data sets corresponding to the raw water node, the treatment process node and the outgoing water node respectively; the water plant equipment monitoring data set includes the equipment operation data in the water plant; the water plant safety monitoring data set includes the water quality accident record data in the water plant.

[0021] Step 3: Performing water quality evaluation based on the water quality monitoring data set to obtain a first evaluation result;

[0022] Specifically, based on the water quality monitoring data set, water quality evaluations are performed on raw water nodes, treatment process nodes, and outgoing water nodes, and a water quality evaluation result on the water plant is obtained as a first evaluation result.

[0023] Step 4: Evaluate the equipment operation management level based on the water plant equipment monitoring data set to obtain a second evaluation result;

[0024] Specifically, the equipment operation management level evaluation based on the water plant equipment monitoring data set is to evaluate the water plant's equipment operation and maintenance management, including the equipment's energy utilization, failure rate, etc., thereby obtaining a second evaluation result reflecting the water plant's operation and maintenance level.

[0025] Step 5: Evaluate the water plant operation level based on the water plant safety monitoring data set to obtain the third evaluation result;

[0026] Specifically, the water plant operation level evaluation is to identify water quality accidents that occur during the operation of the water plant based on the water plant safety monitoring data set, and then conduct an evaluation. The more water quality accidents that occur and the higher the accident level, the worse the third evaluation result.

[0027] Step six: Integrate the first evaluation result, the second evaluation result and the third evaluation result to perform star rating, and obtain the star rating evaluation result of the water plant.

[0028] Specifically, the first evaluation result, the second evaluation result and the third evaluation result are weighted and calculated to obtain a comprehensive evaluation result, and then the star rating of the water plant is assigned to obtain the star rating result of the water plant.

[0029] Furthermore, step 2 of this application also includes:

[0030] Based on the water quality index, a sample collection unit collects multi-stage water treatment samples to obtain multi-stage water treatment samples; a water quality detection device detects the multi-stage water treatment samples to obtain the water quality monitoring data set.

[0031] Specifically, water quality indicators are an important basis for evaluating the water quality of water plants, including but not limited to turbidity, pH value, residual chlorine content, total bacteria, coliform group, etc. at multi-stage water treatment nodes. Multi-stage water treatment nodes include raw water nodes, treatment process nodes, and factory water nodes. Each stage may have an impact on water quality, so samples need to be collected at different nodes to comprehensively evaluate water quality. The sample collection unit is an existing device or tool specifically used to collect water treatment samples. It can automatically or manually collect water samples from different water treatment nodes according to the preset sampling plan and sampling frequency. During the sampling process, it is necessary to ensure the representativeness of the sample to avoid external contamination or interference. At the same time, the sampling containers and tools also need to be strictly cleaned and disinfected to ensure the accuracy of the sampling results.

[0032] Water quality testing equipment is used to analyze various water quality indicators in water samples. It can use corresponding testing methods and technologies according to different water quality indicators, such as colorimetry, electrochemical method, spectroscopy, etc. By testing multi-stage water treatment samples with water quality testing equipment, the specific values ​​of each water quality indicator in each sample can be obtained, which can be used as a water quality monitoring data set to provide data support for subsequent water quality evaluation.

[0033] Furthermore, step three of this application also includes:

[0034] A stage weight coefficient is set for the multi-stage water treatment node; standard water quality monitoring data of the multi-stage water treatment node is obtained; the water quality monitoring data set is analyzed with the standard water quality monitoring data as a reference benchmark to obtain a multi-stage water quality score; and the multi-stage water quality score is weightedly calculated according to the stage weight coefficient to obtain the first evaluation result.

[0035] Specifically, the stage weight coefficients are set according to the importance and impact of the multi-stage water treatment nodes. These coefficients reflect the importance of water quality at different stages to the overall water quality evaluation. The weight coefficients are set by professional and technical personnel in this field based on professional knowledge and experience, and in combination with the actual situation of the water plant. Generally, stages with greater impact on water quality are given higher weight coefficients, while stages with less impact are given lower weight coefficients. Standard water quality monitoring data is an important reference benchmark for evaluating water quality conditions, and is usually set according to relevant water quality standards in the area where the water plant is located. Standard water quality monitoring data covers the standard limits or target values ​​of various water quality indicators, which are used for comparison with the water quality monitoring data obtained from actual testing.

[0036] The standard water quality monitoring data is used as a reference benchmark to analyze the water quality monitoring data set actually collected. That is, the various water quality indicators in the water quality monitoring data set are compared and evaluated to determine whether they reach or exceed the standard limit or target value. Scores are given based on factors such as the gap between the water quality monitoring data set and the standard water quality data, and the compliance rate, to obtain a multi-stage water quality score. The higher the score, the better the water quality at that stage.

[0037] Finally, the multi-stage water quality scores are weighted according to the previously set stage weight coefficients. The weighted calculation takes into account the relative importance of different stages, making the final first evaluation result more scientific and objective. Through weighted calculation, an evaluation result that comprehensively reflects the overall water quality status of the water plant can be obtained, that is, the first evaluation result. The water quality status of the water plant can be comprehensively and objectively evaluated, providing support for the subsequent star rating.

[0038] Furthermore, step 4 of this application also includes:

[0039] The water plant equipment monitoring data set includes water plant equipment operating status data records within a predetermined time interval; based on the water plant equipment operating status data records, equipment energy utilization analysis is performed to obtain energy utilization rate; based on the water plant equipment operating status data records, equipment failure rate identification is performed to obtain equipment failure rate; based on the energy utilization rate and the equipment failure rate, a comprehensive evaluation is performed to generate the second evaluation result.

[0040] Specifically, the water plant equipment monitoring data set records the operating status data of various equipment within a predetermined time interval, including key indicators such as equipment operating time, energy consumption, and production efficiency. These data are collected through the equipment's own sensors or a dedicated monitoring system to ensure the accuracy and real-time nature of the data.

[0041] Based on the data records of the operating status of water plant equipment, equipment energy utilization analysis is carried out, that is, by processing and analyzing the energy consumption data of the equipment, the energy utilization rate of the equipment is calculated. Energy utilization rate is an important indicator for evaluating the operating efficiency of equipment. It reflects the proportional relationship between the energy consumed by the equipment in a given time and the actual work output. In addition to energy utilization analysis, it is also necessary to identify the equipment failure rate based on the data records of the operating status of water plant equipment. Failure rate identification is to detect and identify the failure probability of the equipment by analyzing the operating status data of the equipment. Specifically, based on the operating status data of various equipment within a predetermined time interval, the ratio of equipment failure time to the total equipment operation time can be calculated, and this can be used as the equipment failure rate.

[0042] Finally, a comprehensive evaluation is conducted based on energy utilization and equipment failure rate to generate the second evaluation result. Specifically, by setting appropriate weights, a quantitative evaluation of the equipment operation and management level is conducted based on energy utilization and equipment failure rate. The evaluation result can be a specific score or grade, which is used to reflect the performance of the water plant in equipment operation and management, comprehensively and objectively evaluate the operation and management level of the water plant equipment, and provide a reference for the comprehensive evaluation and star rating of the water plant.

[0043] Furthermore, step five of this application also includes:

[0044] The water plant safety monitoring data set includes the water quality safety record data of the water plant; the water quality safety record data is clustered and divided according to the water quality accident level to obtain a multi-level water quality accident data set; the water plant operation level is evaluated based on the multi-level water quality accident data set to generate the third evaluation result.

[0045] Furthermore, the present application also includes the following steps:

[0046] The number of accidents is extracted from the multi-level water quality accident data set to obtain the number of multi-level accidents; based on the multi-level accident number, a first accident proportion coefficient whose accident level is greater than a predetermined level is calculated; based on the multi-level water quality accident data set, accident frequency is identified; and the third evaluation result is generated based on the first accident proportion coefficient and the accident frequency.

[0047] Specifically, the water plant safety monitoring data set contains the water quality safety record data of the water plant during operation. These data may include water quality test results, water source pollution incidents, water quality accident reports, etc., reflecting the water quality safety status of the water plant at different times and different links. In order to better analyze and evaluate the water quality safety situation, it is necessary to cluster the water quality safety record data according to the level of water quality accidents. Clustering can be based on factors such as the severity, scope of impact, and duration of water quality accidents. Through clustering, water quality safety record data can be divided into multi-level water quality accident data sets, such as serious accidents, general accidents, minor accidents, etc.

[0048] The water plant operation level is evaluated based on the multi-level water quality accident data set, and the third evaluation result is generated to understand the performance of the water plant in safe operation, providing strong support for the comprehensive evaluation and star rating of the water plant.

[0049] Among them, the specific process of evaluating the water plant operation level based on the multi-level water quality accident data set and generating the third evaluation result is as follows: First, the number of accidents of each level is extracted from the multi-level water quality accident data set to obtain the number of multi-level accidents. These numbers reflect the distribution of water quality accidents of different levels during the operation of the water plant. Next, it is necessary to count the first accident proportion coefficient whose accident level is greater than the predetermined level. The predetermined level can be set according to the actual situation and evaluation criteria of the water plant, for example, it can be set to "serious accident" or "major accident". When counting, the number of accidents greater than the predetermined level is accumulated, and its ratio to the total number of accidents is calculated to obtain the first accident proportion coefficient. This coefficient reflects the proportion of serious or major water quality accidents that occur in the water plant during operation, and is one of the important indicators for evaluating the safe operation level of the water plant.

[0050] In addition to the accident proportion coefficient, it is also necessary to identify the accident frequency of the multi-level water quality accident data set. The accident frequency refers to the number of water quality accidents that occur per unit time, which can be obtained by calculating the ratio of the number of accidents to the operating time. Finally, the third evaluation result is generated based on the first accident proportion coefficient and the accident frequency. When generating the evaluation result, the importance and weight of these two factors can be considered comprehensively. For example, the first accident proportion coefficient and the accident frequency can be multiplied by the corresponding weight coefficient respectively, and then the sum is obtained to obtain the final evaluation result. The setting of the weight coefficient can be determined according to the actual situation of the water plant and the evaluation criteria. In this way, a quantitative and objective third evaluation result can be obtained to reflect the safety performance and management level of the water plant during operation.

[0051] Furthermore, step six of this application also includes:

[0052] Setting evaluation weights for the first evaluation result, the second evaluation result, and the third evaluation result; performing weighted calculation on the first evaluation result, the second evaluation result, and the third evaluation result based on the evaluation weights to obtain a comprehensive evaluation index; and performing star rating assignment based on the comprehensive evaluation index to generate the star rating evaluation result.

[0053] Specifically, the evaluation weight reflects the importance and influence of different evaluation results in the overall evaluation. The weights of the first evaluation result, the second evaluation result and the third evaluation result can be determined through expert consultation, historical data analysis or relevant standards and specifications. The first evaluation result, the second evaluation result and the third evaluation result are multiplied by the corresponding weights, and then the results are added to obtain a comprehensive evaluation index. Finally, star ratings are assigned according to the comprehensive evaluation index to generate a star rating evaluation result. Star rating assignment is to determine the star rating of the water plant based on the level of the comprehensive evaluation index. Usually, a series of thresholds or scoring ranges can be set to map the comprehensive evaluation index to the corresponding star rating. For example, a water plant with a comprehensive evaluation index within a certain range can be set as a five-star rating, a slightly lower one as a four-star rating, and so on, to obtain the star rating evaluation result.

[0054] Through star rating assignment, complex comprehensive evaluation indicators can be converted into intuitive and easy-to-understand star ratings, providing strong support for the rating, improvement and management of water plants.

[0055] In summary, the comprehensive evaluation and star rating assessment method for water plants provided in this application has the following technical effects:

[0056] Construct a multi-dimensional star rating index for a water plant, wherein the multi-dimensional star rating index includes water quality index, water plant equipment status index and water plant safety production index; monitor the water plant based on the multi-dimensional star rating index to obtain a water quality monitoring data set, a water plant equipment monitoring data set and a water plant safety monitoring data set; evaluate water quality based on the water quality monitoring data set to obtain a first evaluation result; evaluate the equipment operation management level based on the water plant equipment monitoring data set to obtain a second evaluation result; evaluate the water plant operation level based on the water plant safety monitoring data set to obtain a third evaluation result; integrate the first evaluation result, the second evaluation result and the third evaluation result to perform star rating certification and obtain the star rating evaluation result of the water plant. By evaluating the water plant in multiple dimensions, a refined water plant star rating can be achieved, thereby achieving the technical effect of improving the accuracy of the star rating results.

[0057] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

[0058] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application belong to the scope of the present application and its equivalent technology, the present application is also intended to include these modifications and variations.

Claims

1. A method for comprehensive evaluation and star rating of a water plant, characterized in that: The method comprises: Constructing a multi-dimensional star rating index for a water plant, wherein the multi-dimensional star rating index includes water quality index, water plant equipment status index and water plant safety production index; The water plant is monitored based on the multi-dimensional star rating index to obtain a water quality monitoring data set, a water plant equipment monitoring data set, and a water plant safety monitoring data set; Performing water quality evaluation based on the water quality monitoring data set to obtain a first evaluation result; Performing an equipment operation management level evaluation based on the water plant equipment monitoring data set to obtain a second evaluation result; The water plant operation level is evaluated based on the water plant safety monitoring data set to obtain the third evaluation result; The first evaluation result, the second evaluation result and the third evaluation result are integrated to perform star rating, and obtain a star rating evaluation result of the water plant; The water quality indicators include multi-stage water treatment node detection indicators; The multi-stage water treatment nodes include raw water nodes, treatment process nodes and factory water nodes; The water plant is monitored based on the multi-dimensional star rating index to obtain a water quality monitoring data set, a water plant equipment monitoring data set and a water plant safety monitoring data set, including: Based on the water quality index, a multi-stage water treatment sample is collected by a sample collection unit to obtain a multi-stage water treatment sample; Performing water quality testing on the multi-stage water treatment samples by using water quality testing equipment to obtain the water quality monitoring data set; Performing water quality evaluation based on the water quality monitoring data set to obtain a first evaluation result includes: Setting a stage weight coefficient for the multi-stage water treatment node; Obtaining standard water quality monitoring data of the multi-stage water treatment nodes; Using the standard water quality monitoring data as a reference benchmark, analyzing the water quality monitoring data set to obtain a multi-stage water quality score; Performing weighted calculation on the multi-stage water quality scores according to the stage weight coefficients to obtain the first evaluation result; The first evaluation result, the second evaluation result and the third evaluation result are integrated to perform star rating determination, and obtain the star rating evaluation result of the water plant, including: Setting evaluation weights of the first evaluation result, the second evaluation result, and the third evaluation result; Performing weighted calculation on the first evaluation result, the second evaluation result and the third evaluation result based on the evaluation weight to obtain a comprehensive evaluation index; Star rating is assigned based on the comprehensive evaluation index to generate the star rating evaluation result.

2. The method according to claim 1, characterized in that Based on the water plant equipment monitoring data set, the equipment operation management level is evaluated to obtain a second evaluation result, including: The water plant equipment monitoring data set includes water plant equipment operation status data records within a predetermined time interval; According to the data records of the water plant equipment operation status, equipment energy utilization analysis is performed to obtain energy utilization rate; According to the data record of the running status of the water plant equipment, the equipment failure rate is identified to obtain the equipment failure rate; A comprehensive evaluation is performed based on the energy utilization rate and the equipment failure rate to generate the second evaluation result.

3. The method according to claim 1, characterized in that Based on the water plant safety monitoring data set, the water plant operation level is evaluated and the third evaluation results are obtained, including: The water plant safety monitoring data set includes water quality safety record data of the water plant; Clustering the water quality safety record data according to the water quality accident levels to obtain a multi-level water quality accident data set; The water plant operation level is evaluated based on the multi-level water quality accident data set to generate the third evaluation result.

4. The method according to claim 3, characterized in that The water plant operation level is evaluated based on the multi-level water quality accident data set to generate the third evaluation result, including: Extracting the number of accidents from the multi-level water quality accident data set to obtain the number of multi-level accidents; Counting a first accident proportion coefficient whose accident level is greater than a predetermined level based on the number of accidents of the multiple levels; Perform accident frequency identification based on the multi-level water quality accident data set; The third evaluation result is generated based on the first accident proportion coefficient and the accident frequency.

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