CN116183845B

CN116183845B - Drinking water quality detection analysis evaluation method and system

Info

Publication number: CN116183845B
Application number: CN202211553463.1A
Authority: CN
Inventors: 冯峰
Original assignee: Hky Technology Co ltd
Current assignee: Hky Technology Co ltd
Priority date: 2022-12-06
Filing date: 2022-12-06
Publication date: 2023-09-22
Anticipated expiration: 2042-12-06
Also published as: CN116183845A

Abstract

The invention provides a method and a system for detecting, analyzing and evaluating the water quality of drinking water, which relate to the technical field of water quality detection, and are characterized in that a plurality of detection indexes and a plurality of index parameter standards of water quality detection are obtained, a water body sample is detected according to a plurality of detection frequency information to obtain a current detection result, a plurality of detection indexes are sequenced according to the water quality detection condition and a plurality of hazard information in the history time, and a multi-level detection index set is divided according to the sequencing; and respectively carrying out water quality evaluation according to the multi-level detection index set to obtain a water quality detection evaluation result. The invention solves the technical problems that whether the single reference to each water quality detection project index is qualified or not to carry out drinking water quality detection evaluation in the prior art, and the reference value of the water quality detection result to drinking water quality regulation is low. The scientificity and usability of the water quality detection result are improved, and the technical effects of timely knowing the current water quality condition of the drinking water and referencing the water quality regulation are achieved.

Description

Drinking water quality detection analysis evaluation method and system

Technical Field

The invention relates to the technical field of water quality detection, in particular to a drinking water quality detection analysis and evaluation method and system.

Background

Water is the basis of human existence and development, drinking water is an important resource for maintaining life of human life support residents, and along with continuous development of industrialization process, water quality pollution problems caused by organic pollution, heavy metal pollution and other pollution sources seriously affect life health of residents.

Meanwhile, compared with the occurrence of water pollution events, the water quality condition detection often has hysteresis, so that how to improve the water quality adjustment timeliness of the drinking water and effectively treat the drinking water becomes an important subject for guaranteeing the safety of the drinking water of residents at present.

In the prior art, water quality detection is often carried out by singly referencing whether each water quality detection project index is qualified or not to carry out drinking water quality detection evaluation, visual water quality evaluation cannot be carried out, and the technical problem that the reference value of a water quality detection result for drinking water quality regulation improvement is low exists.

Disclosure of Invention

The application provides a method and a system for detecting, analyzing and evaluating water quality of drinking water, which are used for detecting and evaluating the water quality of the drinking water according to whether single reference water quality detection project indexes are qualified or not in the prior art, and have the technical problem that the reference value of the water quality detection result to the water quality adjustment of the drinking water is low.

In view of the above problems, the application provides a method and a system for detecting, analyzing and evaluating the quality of drinking water.

In a first aspect of the present application, there is provided a method for detecting, analyzing and evaluating quality of drinking water, the method comprising:

acquiring a plurality of detection indexes and a plurality of index parameter standards for detecting the water quality of target drinking water; setting the detection frequencies of the detection indexes according to the water quality detection condition of the target drinking water in the historical time, and obtaining a plurality of detection frequency information; detecting the water body sample of the target drinking water according to the detection frequency information and the detection indexes to obtain a current index parameter serving as a current detection result; analyzing the harm of the multiple detection indexes, which affects human health after drinking, to obtain multiple harm information; sequencing the plurality of detection indexes according to the water quality detection condition of the target drinking water in the historical time and the plurality of hazard information to obtain a detection index sequence; according to the detection index sequence, a first-level detection index set, a second-level detection index set and a third-level detection index set are obtained; according to the current detection result, respectively carrying out water quality assessment according to the first-level detection index set, the second-level detection index set and the third-level detection index set to obtain a first-level index assessment result, a second-level index assessment result and a third-level index assessment result; inputting the primary index evaluation result, the secondary index evaluation result and the tertiary index evaluation result into a pre-constructed water quality evaluation model to obtain the current water quality detection evaluation result of the target drinking water.

In a second aspect of the present application, there is provided a drinking water quality detection analysis evaluation system, the system comprising: the water quality detection analysis module is used for acquiring a plurality of detection indexes and a plurality of index parameter standards for detecting the water quality of the target drinking water; the detection frequency setting module is used for setting the detection frequencies of the plurality of detection indexes according to the water quality detection condition of the target drinking water in the historical time to obtain a plurality of detection frequency information; the detection result generation module is used for detecting the water body sample of the target drinking water according to the plurality of detection frequency information and the plurality of detection indexes to obtain a plurality of current index parameters serving as a current detection result; the health hazard analysis module is used for analyzing the hazard affecting the human health after the plurality of detection indexes are drunk and obtaining a plurality of hazard information; the detection index sequencing module is used for sequencing the plurality of detection indexes according to the water quality detection condition of the target drinking water in the historical time and the plurality of hazard information to obtain a detection index sequence; the index sequence splitting module is used for obtaining a first-level detection index set, a second-level detection index set and a third-level detection index set according to the detection index sequence; the water quality evaluation execution module is used for respectively carrying out water quality evaluation according to the current detection result and the first-level detection index set, the second-level detection index set and the third-level detection index set to obtain a first-level index evaluation result, a second-level index evaluation result and a third-level index evaluation result; the evaluation result obtaining module is used for inputting the primary index evaluation result, the secondary index evaluation result and the tertiary index evaluation result into a pre-constructed water quality evaluation model to obtain the current water quality detection evaluation result of the target drinking water.

One or more technical schemes provided by the application have at least the following technical effects or advantages:

the method provided by the embodiment of the application comprises the steps of obtaining a plurality of detection indexes and a plurality of index parameter standards for detecting the water quality of the target drinking water; setting the detection frequency of the detection indexes according to the water quality detection condition of the target drinking water in the historical time, obtaining a plurality of detection frequency information, and obtaining the water quality index detection frequency meeting the requirements of drinking water quality detection timeliness, so that the personnel in a drinking water plant can conveniently and timely adjust the drinking water quality to ensure the safety of resident drinking water; detecting a water body sample of the target drinking water according to the detection frequency information and the detection indexes to obtain a current index parameter, wherein the current index parameter is used as a current detection result for subsequent analysis and evaluation of the water quality detection of the target drinking water; analyzing the harm of the multiple detection indexes, which affects the health of the human body after drinking, to obtain multiple harm information, wherein the information is used for sequencing the multiple detection indexes according to the harm degree of the human body; sequencing the plurality of detection indexes according to the water quality detection condition of the target drinking water in the historical time and the plurality of hazard information to obtain a detection index sequence, and obtaining a plurality of pollution index sequencing results reflecting the hazard of the plurality of detection indexes and the probability of occurrence of pollution accidents, thereby providing index evaluation references for the follow-up accurate evaluation of the drinking water quality; according to the detection index sequence, a first-level detection index set, a second-level detection index set and a third-level detection index set are obtained, and scientific classification reference of the detection indexes is provided for the subsequent multi-level multi-dimension detection of the target drinking water quality; according to the current detection result, respectively carrying out water quality assessment according to the first-level detection index set, the second-level detection index set and the third-level detection index set to obtain a first-level index assessment result, a second-level index assessment result and a third-level index assessment result, obtaining a multi-level target drinking water pollution condition assessment result, and improving the accuracy and scientificity of target drinking water pollution condition assessment; inputting the primary index evaluation result, the secondary index evaluation result and the tertiary index evaluation result into a pre-constructed water quality evaluation model to obtain the current water quality detection evaluation result of the target drinking water. The scientificity and usability of the water quality detection result are improved, and the technical effects of timely knowing the current water quality condition of the drinking water and referencing the water quality regulation are achieved.

Drawings

FIG. 1 is a schematic flow chart of a method for analyzing and evaluating the quality of drinking water;

FIG. 2 is a schematic flow chart of obtaining detection frequency information in the method for analyzing and evaluating drinking water quality;

FIG. 3 is a schematic flow chart of sorting a plurality of detection indexes in the method for analyzing and evaluating the quality of drinking water;

fig. 4 is a schematic structural diagram of a drinking water quality detection analysis evaluation system provided by the application.

Reference numerals illustrate: the system comprises a water quality detection and analysis module 11, a detection frequency setting module 12, a detection result generation module 13, a health hazard analysis module 14, a detection index ordering module 15, an index sequence splitting module 16, a water quality evaluation execution module 17 and an evaluation result obtaining module 18.

Detailed Description

The application provides a method and a system for detecting, analyzing and evaluating water quality of drinking water, which are used for solving the technical problems that whether all water quality detection project indexes are qualified or not is often single reference in the prior art, and the reference value of a water quality detection result to the water quality adjustment of the drinking water is low. The scientificity and usability of the water quality detection result are improved, and the technical effects of timely knowing the current water quality condition of the drinking water and referencing the water quality regulation are achieved.

The technical scheme of the application obtains, stores, uses, processes and the like the data, which all meet the relevant regulations of national laws and regulations.

In the following, the technical solutions of the present application will be clearly and completely described with reference to the accompanying drawings, and it should be understood that the described embodiments are only some embodiments of the present application, but not all embodiments of the present application, and that the present application is not limited by the exemplary embodiments described herein. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application. It should be further noted that, for convenience of description, only some, but not all of the drawings related to the present application are shown.

Example 1

As shown in fig. 1, the application provides a method for detecting, analyzing and evaluating drinking water quality, which comprises the following steps:

s100, acquiring a plurality of detection indexes and a plurality of index parameter standards for detecting the water quality of target drinking water;

specifically, in this embodiment, the target drinking water is living drinking water, and the detection index for detecting water quality is formulated based on the "living drinking water sanitation standard", including but not limited to concentration index, pH index, hardness index, residual chlorine index, chromaticity index, etc., and can flow into the residential home along the drinking water pipeline if and only if each index of the detected target drinking water meets the parameter standard. In this embodiment, the multiple detection indexes and multiple index parameter standards for judging whether the target drinking water is qualified are set according to the sanitary standard of domestic drinking water, for example, the parameter standard of chromaticity index is equal to or less than 15,6.5 and equal to or less than pH value is equal to or less than 8.5.

S200, setting detection frequencies of the detection indexes according to the water quality detection condition of the target drinking water in the historical time, and obtaining a plurality of detection frequency information;

further, as shown in fig. 2, according to the water quality detection condition of the target drinking water in the history time, the detection frequencies of the plurality of detection indexes are set, and the method step S200 provided by the present application further includes:

s210, acquiring a preset time range;

s220, acquiring preset detection frequencies of the detection indexes;

s230, collecting a plurality of water quality detection results of the target drinking water in the preset time range in the historical time according to the plurality of detection indexes to obtain a plurality of historical index parameter sets;

s240, judging and acquiring a plurality of historical pollution index parameter sets in the plurality of historical index parameter sets according to the plurality of index parameter standards;

s250, calculating a plurality of historical pollution rates of the plurality of detection indexes according to the plurality of historical pollution index parameter sets and the plurality of historical index parameter sets;

s260, inputting the plurality of historical pollution rates into a pre-constructed detection frequency adjustment model to obtain a plurality of adjustment parameters;

And S270, respectively adjusting the preset detection frequency by adopting the plurality of adjustment parameters to obtain the plurality of detection frequency information.

Specifically, in this embodiment, the preset detection frequencies of the plurality of detection indexes are obtained according to the quality inspection standard of the drinking water plant, and the plurality of water quality detection results in the preset time range are obtained based on the collection of the big water quality inspection data of the drinking water plant, and the plurality of water quality detection results are classified according to the water quality inspection indexes to obtain a plurality of historical index parameter sets, and each historical index parameter set is a plurality of historical inspection data of one water quality inspection index.

And respectively traversing the corresponding historical index parameter sets by taking the plurality of index parameter standards as judgment references to obtain the plurality of historical pollution index parameter sets, wherein the existing historical parameter indexes in the plurality of historical index parameter sets do not meet the index parameter standards, and each historical index parameter set corresponding to each detection index has a corresponding historical pollution index set.

According to the percentage of the number of the pollution index parameters in the historical pollution index parameter set of each detection index to the number of the index parameters of the historical index parameter set, calculating to obtain the historical pollution rate of the corresponding detection index, calculating the percentage of the number of the index parameters of the historical pollution index parameter sets of the detection indexes one by one, and calculating to obtain the historical pollution rates of the detection indexes, wherein the historical pollution rate is the percentage of all data in the index parameters of the index parameter set which does not meet the index parameter standard in the historical index parameter set obtained by detection according to the preset detection frequency of the detection index in a preset time range.

In this embodiment, the historical pollution rate data is processed by constructing a detection frequency adjustment model to obtain adjustment parameters for performing detection frequency adjustment of a plurality of detection indexes, and in this embodiment, the description of the optimal embodiment of the detection frequency adjustment model is performed in the following description. And inputting the plurality of historical pollution rates into a pre-constructed detection frequency adjustment model to obtain a plurality of adjustment parameters, and respectively adjusting the preset detection frequency by adopting the plurality of adjustment parameters to obtain the plurality of detection frequency information.

According to the embodiment, the preset detection frequency of each drinking water detection index of the drinking water plant is obtained according to the working data of the drinking water plant, the index parameter sets of a plurality of water quality detection indexes within a certain time are obtained based on the historical data acquisition of the drinking water plant, the numerical qualification rate judgment and calculation of the index parameter sets are carried out in combination with the qualified standard of the water quality detection indexes, the historical pollution rate information of each water quality detection index is obtained, the original water quality detection frequency is adjusted based on the historical pollution rate information, the water quality index detection frequency meeting the requirement of the drinking water quality detection timeliness is achieved, and the drinking water quality adjustment is conveniently carried out by the staff of the drinking water plant in time, so that the safety of resident drinking water is guaranteed.

S300, detecting a water body sample of the target drinking water according to the detection frequency information and the detection indexes to obtain a plurality of index parameters at present, wherein the index parameters are used as a current detection result;

specifically, in this embodiment, a detection period of a plurality of water quality detection indexes is obtained according to the plurality of detection frequency information, so that periodic water sample collection and detection are performed on the target drinking water, a plurality of index parameters mapped with the plurality of detection indexes are obtained currently, and the plurality of index parameters are used as current water quality detection results, and the detection results are used for subsequent analysis and evaluation of water quality detection of the target drinking water.

S400, analyzing the harm of the plurality of detection indexes, which affects human health after drinking, to obtain a plurality of harm information;

in particular, it is understood that controlling the various detection indexes of the drinking water within the index parameter standards can ensure that the health of the residents is not affected after drinking. For example, the heavy metal index of the drinking water exceeds the standard, the toxicity of the drinking water is increased after the drinking water is drunk by a person, and the drinking water is combined with other toxins in the water to generate harmful substances with larger toxicity. Heavy metals can cause headache, dizziness, insomnia, arthralgia, and calculus; the drinking water has excessive bacteria, and can easily cause bacterial infection and parasitic disease after drinking, so that digestive tract symptoms such as abdominal pain, diarrhea and the like can appear in people.

Therefore, in the embodiment, based on the drinking water quality detection and the hazard analysis of the plurality of detection indexes, which affects the human health after the drinking, by the medical field expert, a plurality of hazard information is obtained, and the hazard information is used for sorting the plurality of detection indexes according to the hazard degree of the human body.

S500, sequencing the plurality of detection indexes according to the water quality detection condition of the target drinking water in the historical time and the plurality of hazard information to obtain a detection index sequence;

further, as shown in fig. 3, the method step S500 provided by the present application further includes:

s510, distributing a plurality of preset ordering indexes of the plurality of detection indexes, wherein the preset ordering indexes of the plurality of detection indexes are the same;

s520, carrying out weight distribution according to the jeopardy sizes of the jeopardy information to obtain a first weight distribution result;

s530, carrying out weight distribution according to the plurality of historical pollution rates to obtain a second weight distribution result;

s540, carrying out weighted calculation on the plurality of preset ordering indexes by adopting the first weight distribution result and the second weight distribution result to obtain a plurality of weighted ordering indexes;

S550, sorting the plurality of detection indexes according to the size of the plurality of weighted sorting indexes from large to small to obtain the detection index sequence.

Specifically, in this embodiment, the preset ranking index is an assignment to a plurality of detection indexes, and is used to rank the plurality of detection indexes, and a plurality of preset ranking indexes are allocated to the plurality of detection indexes correspondingly, where the preset ranking indexes of the plurality of detection indexes are the same, and the preset ranking indexes may be set to any number of 100, 1000, 1, etc.

And carrying out weight distribution of a plurality of detection indexes according to the jeopardy sizes of the plurality of jeopardy information to obtain a first weight distribution result, wherein the greater the jeopardy is, the greater the weight value is. And carrying out weight distribution of a plurality of detection indexes according to the sizes of the plurality of historical pollution rates, wherein the larger the historical pollution rate is, the larger the weight value is, and a second weight distribution result is obtained, and the weight distribution of the hazard size and the weight distribution determining method of the pollution rate size are consistent.

Specifically, through letter connection or published information, a weight distribution relation of a plurality of water quality field experts on the basis of the harmfulness information on a plurality of detection indexes is obtained, and a weight distribution relation of a plurality of water quality field experts on the basis of the historical pollution rate on a plurality of detection indexes is obtained.

The first weight distribution result is obtained by taking a water quality detection field expert as a unit, wherein one expert corresponds to one weight distribution channel, and the weight distribution relation of each water quality detection field expert on a plurality of detection indexes based on the harmfulness of the harmfulness information is respectively put into the weight distribution channels of the corresponding experts to carry out information isolation.

Based on the information isolation channel, extracting and obtaining weight distribution results of a plurality of experts on the same detection index, solving a mean value as a weight value of the detection index, and obtaining the first weight distribution result by processing and calculating the weight distribution results of a plurality of detection indexes according to the hazard size.

The second weight distribution result is obtained by taking a water quality detection field expert as a unit, wherein one expert corresponds to one weight distribution channel, and the weight distribution relation of each water quality detection field expert on a plurality of detection indexes based on the historical pollution rate of water quality historical detection is respectively put into the weight distribution channels of the corresponding experts to carry out information isolation.

Based on the information isolation channel, extracting and obtaining weight distribution results of a plurality of experts on the same detection index, solving a mean value to serve as a weight value of the detection index, and obtaining weight distribution results of a plurality of detection indexes according to the historical pollution rate through processing calculation as a second weight distribution result.

And carrying out weighted calculation on the plurality of preset sequencing indexes by adopting the first weight distribution result and the second weight distribution result to obtain a plurality of weighted sequencing indexes, wherein the plurality of weighted sequencing indexes have mapping relations with a plurality of detection indexes. And sorting the plurality of detection indexes according to the size of the weighted sorting indexes from large to small to obtain the detection index sequence, wherein the detection index with higher pollution exceeding probability is higher in the greater hazard to human health and is higher in the sequence.

According to the embodiment, the technical effects of obtaining the sequencing results of the plurality of pollution indexes reflecting the harmfulness of the plurality of detection indexes and the probability of pollution accidents are achieved by respectively carrying out weight distribution on the human health harmfulness and the historical pollution rate of the plurality of detection indexes based on the plurality of detection indexes, carrying out multiple weighted calculation on the weights and the preset sequencing index assignment of the plurality of detection indexes and training the calculation results, and index evaluation references are provided for follow-up accurate evaluation of the quality of drinking water.

S600, obtaining a primary detection index set, a secondary detection index set and a tertiary detection index set according to the detection index sequence;

Specifically, in this embodiment, the detection index sequence is classified according to the detection index sequence, trisection is performed according to the number of detection indexes, 1/3 of the detection index sequence is a first-stage detection index set, 1/3 of the detection index sequence is a second-stage detection index set, and 1/3 of the detection index sequence is a third-stage detection index set. The over-standard human body harmfulness and pollution over-standard probability of a plurality of detection indexes in the first-level detection index set is higher, the over-standard human body harmfulness and pollution over-standard probability of a plurality of detection indexes in the second-level detection index set is lower, and the over-standard human body harmfulness and pollution over-standard probability of a plurality of detection indexes in the third-level detection index set is extremely low. And carrying out detection index grading based on the detection index sequence, and providing scientific grading reference for detection index for carrying out target drinking water quality detection in multiple dimensions of subsequent multi-level.

S700, respectively carrying out water quality evaluation according to the current detection result and the first-level detection index set, the second-level detection index set and the third-level detection index set to obtain a first-level index evaluation result, a second-level index evaluation result and a third-level index evaluation result;

Further, according to the current detection result, performing water quality assessment according to the first-level detection index set, the second-level detection index set and the third-level detection index set respectively to obtain a first-level index assessment result, a second-level index assessment result and a third-level index assessment result, and the method step S700 provided by the application further comprises:

s710, judging pollution index parameters according to the current detection result and the index parameter standards to obtain a plurality of pollution index parameters;

s720, calculating the pollution exceeding degree of the plurality of pollution index parameters according to the plurality of index parameter standards to obtain a plurality of pollution degree information;

s730, dividing the pollution degree information to obtain a first-level pollution degree information set, a second-level pollution degree information set and a third-level pollution degree information set, and obtaining a first-level pollution index set, a second-level pollution index set and a third-level pollution index set;

s740, according to the plurality of hazard information, carrying out weight distribution based on the magnitude of hazard information of the pollution indexes in the first-level pollution index set, the second-level pollution index set and the third-level pollution index set to obtain a first-level weight value set, a second-level weight value set and a third-level weight value set;

And S750, respectively adopting the primary weight value set, the secondary weight value set and the tertiary weight value set to carry out weighted calculation on pollution degree information in the primary pollution degree information set, the secondary pollution degree information set and the tertiary pollution degree information set, so as to obtain the primary index evaluation result, the secondary index evaluation result and the tertiary index evaluation result.

Specifically, in this embodiment, according to the current detection result, water quality assessment is performed according to the first-level detection index set, the second-level detection index set, and the third-level detection index set, respectively.

And judging whether pollution index parameters which do not meet the index parameter standards exist in the current detection result based on the index parameter standards of the detection indexes, and obtaining the pollution index parameters.

And calculating the pollution exceeding degree of the plurality of pollution index parameters according to the plurality of index parameter standards to obtain a plurality of pollution degree information, wherein the plurality of pollution degree information has detection indexes corresponding to the pollution degree information.

And dividing the plurality of pollution degree information according to detection indexes corresponding to the pollution degree information by combining the first-level detection index set, the second-level detection index set and the third-level detection index set to obtain a first-level pollution degree information set, a second-level pollution degree information set and a third-level pollution degree information set, and obtaining a first-level pollution index set, a second-level pollution index set and a third-level pollution index set.

Extracting and obtaining a plurality of pieces of hazard information of detection indexes corresponding to the plurality of pieces of pollution degree information according to the plurality of pieces of hazard information, and carrying out weight assignment and weight distribution based on water quality detection experience or expert evaluation methods based on the magnitudes of the hazard information of the pollution indexes in the primary pollution index set, the secondary pollution index set and the tertiary pollution index set to obtain a primary weight value set, a secondary weight value set and a tertiary weight value set.

And respectively adopting the primary weight value set, the secondary weight value set and the tertiary weight value set to carry out weighted calculation on the pollution degree information in the primary pollution degree information set, the secondary pollution degree information set and the tertiary pollution degree information set, so as to obtain the primary index evaluation result, the secondary index evaluation result and the tertiary index evaluation result.

According to the embodiment, the pollution degree information of the pollution index with pollution in the current detection result is obtained by comparing the detection index parameter standard with the current detection result, the pollution index is classified according to the level of the pollution index in the multi-level pollution degree set, the pollution index weight is distributed according to the hazard level, and the pollution degree information is weighted and calculated, so that the technical effects of obtaining a multi-level target drinking water pollution condition assessment result and improving the accuracy and scientificity of the target drinking water pollution condition assessment are achieved.

S800, inputting the primary index evaluation result, the secondary index evaluation result and the tertiary index evaluation result into a pre-constructed water quality evaluation model to obtain the current water quality detection evaluation result of the target drinking water.

Further, the primary index evaluation result, the secondary index evaluation result and the tertiary index evaluation result are input into a pre-constructed water quality evaluation model to obtain the current water quality detection evaluation result of the target drinking water, and the method step S800 provided by the application further comprises the following steps:

s810, acquiring a first-level index evaluation result set, a second-level index evaluation result set and a third-level index evaluation result set of a sample according to the water quality detection condition of the target drinking water in the historical time;

s820, constructing a three-dimensional coordinate space based on the primary index evaluation result, the secondary index evaluation result and the tertiary index evaluation result;

s830, dividing the sample primary index evaluation result set, the sample secondary index evaluation result set and the sample tertiary index evaluation result set to obtain a plurality of sample input data;

s840, inputting the plurality of sample input data into the three-dimensional coordinate space to obtain a plurality of sample coordinate points;

S850, carrying out cluster analysis on the plurality of sample coordinate points to obtain a plurality of cluster results;

s860, evaluating the water quality grade according to the water quality detection condition of the target drinking water in the historical time to obtain a plurality of sample water quality detection evaluation results;

s870, marking the clustering results by adopting the water quality detection and evaluation results of the samples to obtain the constructed water quality evaluation model;

s880, inputting the primary index evaluation result, the secondary index evaluation result and the tertiary index evaluation result into the water quality evaluation model to obtain the water quality detection evaluation result.

Further, the primary index evaluation result, the secondary index evaluation result and the tertiary index evaluation result are input into the water quality evaluation model to obtain the water quality detection evaluation result, and the method step S880 provided by the application further comprises:

s881, taking the primary index evaluation result, the secondary index evaluation result and the tertiary index evaluation result as input data, and inputting the input data into the water quality evaluation model to obtain a current coordinate point;

s882, obtaining a clustering result corresponding to the current coordinate point as a current clustering result;

And S883, obtaining the water quality detection evaluation result according to the current clustering result.

Specifically, in this embodiment, the detection index classification result of step S600 is used, multiple sample water quality detection results are obtained according to the water quality detection condition of the target drinking water in the historical time, and the water quality detection evaluation of the multiple sample water quality detection results is performed by using the same method of step S700, so as to generate a sample primary index evaluation result set, a secondary index evaluation result set and a tertiary index evaluation result set.

Based on the primary index evaluation result, the secondary index evaluation result and the tertiary index evaluation result, three coordinate axes are constructed, a three-dimensional coordinate space is further constructed, the primary index evaluation result set, the secondary index evaluation result set and the tertiary index evaluation result set of the sample are divided according to the collected samples for actually carrying out water quality detection, a plurality of sample input data are obtained, and each sample input data corresponds to a specific water sample in the plurality of sample input data.

And inputting the plurality of sample input data into the three-dimensional coordinate space to obtain a plurality of sample coordinate points, and performing cluster analysis on the plurality of sample coordinate points to obtain a plurality of cluster results, wherein each cluster result comprises a plurality of sample coordinate points. The specific cluster analysis can be based on calculating Euclidean distance between every two sample coordinate points, classifying the sample coordinate points with Euclidean distance smaller than a preset threshold value into one class, and thus completing the cluster analysis. The preset threshold value can be set according to the distribution of a plurality of sample coordinate points in practice.

According to the water quality detection condition of the target drinking water in the historical time, correspondingly calling the national standard for water quality detection according to the water source of the target drinking water to carry out water quality registration evaluation, for example, carrying out scientific standardability evaluation of water quality grade based on the quality standard of the surface water environment of the people's republic of China, obtaining a plurality of sample water quality detection evaluation results, and marking the plurality of clustering results by adopting the plurality of sample water quality detection evaluation results to obtain the constructed water quality evaluation model.

And inputting the current primary index evaluation result, the secondary index evaluation result and the tertiary index evaluation result into the water quality evaluation model to obtain a current coordinate point, obtaining a corresponding clustering result which the current coordinate point falls into as a current clustering result, obtaining a corresponding sample water quality detection evaluation result according to the current clustering result, and taking the corresponding sample water quality detection evaluation result as the current water quality detection evaluation result as a data base for subsequent water quality analysis and water body purification, so that the water quality detection evaluation model is more visual.

According to the embodiment, the three-dimensional coordinate space is optimized based on the sample water quality data by constructing the three-dimensional coordinate space, and the water quality evaluation model is obtained by clustering the sample water quality data, so that the water quality detection evaluation result can be obtained based on the multi-stage water quality evaluation result, the acquisition efficiency of the water quality detection result is improved, and the technical effect of indirectly improving the response efficiency of drinking water quality adjustment of a drinking water plant is achieved.

Further, the construction process of the detection frequency adjustment model includes:

s261, acquiring a plurality of sample pollution rates of the plurality of detection indexes, and acquiring a plurality of sample pollution rate sets;

s262, setting and obtaining a plurality of sample detection frequency adjustment parameter sets according to the plurality of sample pollution rate sets;

s263, randomly selecting a first sample pollution rate from a first sample pollution rate set, and constructing a first classification node of a first detection frequency adjustment sub-model, wherein the first sample pollution rate set belongs to the plurality of sample pollution rate sets;

s264, randomly selecting a first sample pollution rate from the first sample pollution rate set again, and constructing a second classification node of the first detection frequency adjustment sub-model;

s265, continuously constructing a multi-stage classification node of the first detection frequency adjustment sub-model, and obtaining a plurality of final classification results of the multi-stage classification node;

s266, marking a plurality of sample detection frequency adjustment parameters in a first sample detection frequency adjustment parameter set as a plurality of decision results and a plurality of final classification results to obtain a constructed first detection frequency adjustment sub-model;

And S267, continuing to construct and obtain other multiple detection frequency adjustment sub-models, and combining the first detection frequency adjustment sub-model to obtain the detection frequency adjustment model.

Specifically, in this embodiment, the method for constructing the detection frequency adjustment model is refinement of step S200, and is also an optimal embodiment for constructing the detection frequency adjustment model in step S200. The detection frequency adjustment model is a combined model formed by a plurality of detection frequency adjustment sub-models of a plurality of water quality detection indexes. In this embodiment, the construction of the detection frequency adjustment model is described by the construction of any detection frequency adjustment sub-model.

In this embodiment, the preset time range is taken as a data acquisition period, a plurality of sample water quality monitoring data are obtained based on historical water quality detection data of a drinking water plant, the plurality of sample water quality monitoring data are processed by adopting the same method of steps S210 to S250, a plurality of sample pollution rates for obtaining the plurality of detection indexes are calculated, and a plurality of sample pollution rate sets are obtained.

Based on big data or historical pollution detection frequency adjustment information of a plurality of water plants, a historical water pollution detection frequency adjustment parameter set is obtained, and the historical water pollution detection frequency adjustment parameter set consists of a plurality of groups of high-reliability historical pollution rate sets-historical detection frequency adjustment parameters.

And calling a historical water pollution detection frequency adjustment parameter set according to the plurality of sample pollution rate sets, and acquiring historical detection frequency adjustment parameters corresponding to the historical water pollution rate sets with consistency or similarity of the sample pollution rate information in each sample pollution rate set based on the historical water pollution detection frequency adjustment parameter set to form a plurality of sample detection frequency adjustment parameter sets. It should be understood that the higher the pollution rate, the larger the corresponding inspection frequency adjustment parameter is to increase the detection frequency of the corresponding water quality index.

The first sample pollution rate set belongs to the plurality of sample pollution rate sets, corresponds to a certain water quality detection index, and comprises a plurality of sample pollution rate data, and each sample pollution rate data has a sample detection frequency adjustment parameter corresponding to the sample pollution rate data. Randomly selecting a first sample pollution rate from a first sample pollution rate set, constructing a first classification node of a first detection frequency adjustment sub-model, randomly selecting a first sample pollution rate from the first sample pollution rate set again, and constructing a second classification node of the first detection frequency adjustment sub-model; and continuously constructing the multi-stage classification nodes of the first detection frequency adjustment sub-model by adopting the same method as the first classification nodes and the second classification nodes, and obtaining a plurality of final classification results of the multi-stage classification nodes, namely a plurality of sample pollution rates correspond to a plurality of classification nodes.

And marking a plurality of final classification results by taking a plurality of sample detection frequency adjustment parameters in a first sample detection frequency adjustment parameter set as a plurality of decision results to obtain the constructed first detection frequency adjustment sub-model.

And (3) continuing to construct and obtain other multiple detection frequency adjustment submodels by adopting the same method as the steps S261-S266, and combining the first detection frequency adjustment submodel to obtain the detection frequency adjustment model.

According to the embodiment, the plurality of sample water quality monitoring data are obtained based on historical water quality detection data of a drinking water plant, the plurality of sample pollution rates for obtaining the plurality of detection indexes are calculated, the sample detection frequency adjustment parameters which correspond to each water quality detection index and are given by the sample pollution rate set based on manual experience are obtained, the construction of a plurality of detection frequency adjustment sub-models of multi-level classification multi-nodes and the generation of the detection frequency adjustment model are carried out, the real-time water quality index pollution rate data are obtained, the corresponding detection frequency adjustment parameters can be obtained based on the traversal of the detection frequency adjustment model, the adjustment of the detection frequency of the corresponding water quality detection index is carried out, and the technical effects of real-time accurate detection and water quality optimization of the drinking water quality condition are achieved.

Example two

Based on the same inventive concept as the method for analyzing and evaluating the quality of drinking water in the foregoing embodiments, as shown in fig. 4, the present application provides a system for analyzing and evaluating the quality of drinking water, wherein the system comprises:

the water quality detection analysis module 11 is used for acquiring a plurality of detection indexes and a plurality of index parameter standards for detecting the water quality of the target drinking water;

a detection frequency setting module 12, configured to set detection frequencies of the plurality of detection indexes according to water quality detection conditions of the target drinking water in a historical time, and obtain a plurality of detection frequency information;

the detection result generating module 13 is configured to detect a water body sample of the target drinking water according to the plurality of detection frequency information and the plurality of detection indexes, and obtain a plurality of current index parameters as a current detection result;

a health hazard analysis module 14, configured to analyze the plurality of detection indicators for harmfulness affecting human health after drinking, and obtain a plurality of hazard information;

the detection index sequencing module 15 is configured to sequence the plurality of detection indexes according to the water quality detection condition of the target drinking water in the historical time and the plurality of hazard information, so as to obtain a detection index sequence;

An index sequence splitting module 16, configured to obtain a first-level detection index set, a second-level detection index set, and a third-level detection index set according to the detection index sequence;

the water quality evaluation execution module 17 is configured to perform water quality evaluation according to the current detection result and the first-level detection index set, the second-level detection index set, and the third-level detection index set, to obtain a first-level index evaluation result, a second-level index evaluation result, and a third-level index evaluation result;

the evaluation result obtaining module 18 is configured to input the first-level index evaluation result, the second-level index evaluation result, and the third-level index evaluation result into a pre-constructed water quality evaluation model, so as to obtain a current water quality detection evaluation result of the target drinking water.

Further, the detection frequency setting module 12 further includes:

the time range obtaining unit is used for obtaining a preset time range;

a detection frequency obtaining unit, configured to obtain preset detection frequencies of the plurality of detection indexes;

the historical data acquisition unit is used for acquiring a plurality of water quality detection results of the target drinking water in the preset time range in the historical time according to the plurality of detection indexes to obtain a plurality of historical index parameter sets;

The historical data judging unit is used for judging and acquiring a plurality of historical pollution index parameter sets in the plurality of historical index parameter sets according to the plurality of index parameter standards;

a historical data calculation unit, configured to calculate a plurality of historical pollution rates for obtaining the plurality of detection indexes according to the plurality of historical pollution index parameter sets and the plurality of historical index parameter sets;

the adjustment parameter obtaining unit is used for inputting the plurality of historical pollution rates into a pre-constructed detection frequency adjustment model to obtain a plurality of adjustment parameters;

and the detection frequency obtaining unit is used for respectively adjusting the preset detection frequency by adopting the plurality of adjustment parameters to obtain the plurality of detection frequency information.

Further, the adjustment parameter obtaining unit includes:

the sample pollution obtaining unit is used for obtaining a plurality of sample pollution rates of the plurality of detection indexes and obtaining a plurality of sample pollution rate sets;

a sample parameter obtaining unit, configured to obtain a plurality of sample detection frequency adjustment parameter sets according to the plurality of sample pollution rate sets;

a classification node generating unit, configured to randomly select a first sample pollution rate from a first sample pollution rate set, and construct a first classification node of a first detection frequency adjustment sub-model, where the first sample pollution rate set belongs to the plurality of sample pollution rate sets;

A classification node selecting unit, configured to randomly select a first sample pollution rate from the first sample pollution rate set again, and construct a second classification node of the first detection frequency adjustment sub-model;

the classification result generation unit is used for continuously constructing a multi-stage classification node of the first detection frequency adjustment sub-model and obtaining a plurality of final classification results of the multi-stage classification node;

the model construction generating unit is used for marking a plurality of final classification results by taking a plurality of sample detection frequency adjustment parameters in a first sample detection frequency adjustment parameter set as a plurality of decision results to obtain a constructed first detection frequency adjustment sub-model;

and the adjustment model generating unit is used for continuously constructing and obtaining a plurality of other detection frequency adjustment sub-models, and combining the first detection frequency adjustment sub-model to obtain the detection frequency adjustment model.

Further, the detection index sorting module 15 further includes:

a ranking index obtaining unit, configured to allocate a plurality of preset ranking indexes of the plurality of detection indexes, where the preset ranking indexes of the plurality of detection indexes are the same;

the weight distribution assignment unit is used for carrying out weight distribution according to the harm sizes of the plurality of harm information to obtain a first weight distribution result;

The weight distribution execution unit is used for carrying out weight distribution according to the plurality of historical pollution rates to obtain a second weight distribution result;

the weighting calculation processing unit is used for carrying out weighting calculation on the plurality of preset ordering indexes by adopting the first weight distribution result and the second weight distribution result to obtain a plurality of weighted ordering indexes;

and the detection index sorting unit is used for sorting the plurality of detection indexes according to the sizes of the plurality of weighted sorting indexes from large to small to obtain the detection index sequence.

Further, the water quality evaluation execution module 17 further includes:

the index parameter obtaining unit is used for judging the pollution index parameter according to the current detection result and the index parameter standards to obtain a plurality of pollution index parameters;

the pollution degree obtaining unit is used for calculating the pollution exceeding degree of the plurality of pollution index parameters according to the plurality of index parameter standards to obtain a plurality of pollution degree information;

the pollution degree dividing unit is used for dividing the plurality of pollution degree information to obtain a first-level pollution degree information set, a second-level pollution degree information set and a third-level pollution degree information set, and to obtain a first-level pollution index set, a second-level pollution index set and a third-level pollution index set;

The weight distribution execution unit is used for carrying out weight distribution according to the plurality of hazard information and based on the magnitudes of hazard information of the pollution indexes in the primary pollution index set, the secondary pollution index set and the tertiary pollution index set to obtain a primary weight value set, a secondary weight value set and a tertiary weight value set;

the weighted calculation execution unit is used for respectively adopting the primary weight value set, the secondary weight value set and the tertiary weight value set to carry out weighted calculation on the pollution degree information in the primary pollution degree information set, the secondary pollution degree information set and the tertiary pollution degree information set, so as to obtain the primary index evaluation result, the secondary index evaluation result and the tertiary index evaluation result.

Further, the evaluation result obtaining module 18 further includes:

the evaluation result generation unit is used for acquiring a first-level index evaluation result set, a second-level index evaluation result set and a third-level index evaluation result set of a sample according to the water quality detection condition of the target drinking water in the historical time;

the three-dimensional coordinate construction unit is used for constructing a three-dimensional coordinate space based on the primary index evaluation result, the secondary index evaluation result and the tertiary index evaluation result;

The input data generation unit is used for dividing the first-level index evaluation result set, the second-level index evaluation result set and the third-level index evaluation result set of the sample to obtain a plurality of sample input data;

a sample coordinate generating unit, configured to input the plurality of sample input data into the three-dimensional coordinate space, and obtain a plurality of sample coordinate points;

the cluster analysis execution unit is used for carrying out cluster analysis on the plurality of sample coordinate points to obtain a plurality of cluster results;

the water quality grade evaluation unit is used for performing water quality grade evaluation according to the water quality detection condition of the target drinking water in the historical time to obtain a plurality of sample water quality detection evaluation results;

the evaluation model generation unit is used for identifying the clustering results by adopting the water quality detection evaluation results of the samples to obtain the constructed water quality evaluation model;

the evaluation result obtaining unit is used for inputting the primary index evaluation result, the secondary index evaluation result and the tertiary index evaluation result into the water quality evaluation model to obtain the water quality detection evaluation result.

Further, the evaluation result obtaining unit further includes:

The coordinate point obtaining unit is used for taking the primary index evaluation result, the secondary index evaluation result and the tertiary index evaluation result as input data, inputting the input data into the water quality evaluation model, and obtaining a current coordinate point;

the clustering result determining unit is used for obtaining a clustering result corresponding to the current coordinate point and taking the clustering result as a current clustering result;

and the clustering result processing unit is used for obtaining the water quality detection evaluation result according to the current clustering result.

Any of the methods or steps described above may be stored as computer instructions or programs in various non-limiting types of computer memories, and identified by various non-limiting types of computer processors, thereby implementing any of the methods or steps described above.

Based on the above-mentioned embodiments of the present invention, any improvements and modifications to the present invention without departing from the principles of the present invention should fall within the scope of the present invention.

Claims

1. A method for detecting, analyzing and evaluating the quality of drinking water, which is characterized by comprising the following steps:

acquiring a plurality of detection indexes and a plurality of index parameter standards for detecting the water quality of target drinking water;

Setting the detection frequencies of the detection indexes according to the water quality detection condition of the target drinking water in the historical time, and obtaining a plurality of detection frequency information;

detecting the water body sample of the target drinking water according to the detection frequency information and the detection indexes to obtain a current index parameter serving as a current detection result;

analyzing the harm of the multiple detection indexes, which affects human health after drinking, to obtain multiple harm information;

sequencing the plurality of detection indexes according to the water quality detection condition of the target drinking water in the historical time and the plurality of hazard information to obtain a detection index sequence;

according to the detection index sequence, a first-level detection index set, a second-level detection index set and a third-level detection index set are obtained;

according to the current detection result, respectively carrying out water quality assessment according to the first-level detection index set, the second-level detection index set and the third-level detection index set to obtain a first-level index assessment result, a second-level index assessment result and a third-level index assessment result;

inputting the primary index evaluation result, the secondary index evaluation result and the tertiary index evaluation result into a pre-constructed water quality evaluation model to obtain a current water quality detection evaluation result of the target drinking water;

Wherein the setting of the detection frequencies of the plurality of detection indexes according to the water quality detection condition of the target drinking water in the history time includes:

acquiring a preset time range;

acquiring preset detection frequencies of the detection indexes;

collecting a plurality of water quality detection results of the target drinking water in the preset time range in the historical time according to the plurality of detection indexes to obtain a plurality of historical index parameter sets;

judging and acquiring a plurality of historical pollution index parameter sets in the plurality of historical index parameter sets according to the plurality of index parameter standards;

calculating a plurality of historical pollution rates of the plurality of detection indexes according to the plurality of historical pollution index parameter sets and the plurality of historical index parameter sets, wherein the historical pollution rates are all data percentages in index parameters, which are not met by index parameter standards, in the historical index parameter sets obtained by detection according to the preset detection frequency of the detection indexes within a preset time range;

inputting the plurality of historical pollution rates into a pre-constructed detection frequency adjustment model to obtain a plurality of adjustment parameters;

respectively adjusting the preset detection frequency by adopting the plurality of adjustment parameters to obtain the plurality of detection frequency information;

The sequencing the detection indexes according to the water quality detection condition of the target drinking water in the historical time and the hazard information comprises the following steps:

distributing a plurality of preset ordering indexes of the plurality of detection indexes, wherein the preset ordering indexes of the plurality of detection indexes are the same;

according to the harm sizes of the plurality of harm information, weight distribution is carried out, and a first weight distribution result is obtained;

according to the magnitude of the plurality of historical pollution rates, weight distribution is carried out, and a second weight distribution result is obtained;

performing weighted calculation on the plurality of preset ranking indexes by adopting the first weight distribution result and the second weight distribution result to obtain a plurality of weighted ranking indexes;

sorting the plurality of detection indexes according to the size of the plurality of weighted sorting indexes from large to small to obtain the detection index sequence;

and respectively carrying out water quality evaluation according to the current detection result and the first-level detection index set, the second-level detection index set and the third-level detection index set to obtain a first-level index evaluation result, a second-level index evaluation result and a third-level index evaluation result, wherein the method comprises the following steps:

According to the current detection result and the index parameter standards, carrying out pollution index parameter judgment to obtain a plurality of pollution index parameters;

calculating the pollution exceeding degree of the plurality of pollution index parameters according to the plurality of index parameter standards to obtain a plurality of pollution degree information;

dividing the pollution degree information to obtain a first-level pollution degree information set, a second-level pollution degree information set and a third-level pollution degree information set, and obtaining a first-level pollution index set, a second-level pollution index set and a third-level pollution index set;

according to the plurality of hazard information, carrying out weight distribution based on the magnitude of hazard information of the pollution indexes in the primary pollution index set, the secondary pollution index set and the tertiary pollution index set to obtain a primary weight value set, a secondary weight value set and a tertiary weight value set;

the first-level weight value set, the second-level weight value set and the third-level weight value set are adopted to carry out weighted calculation on pollution degree information in the first-level pollution degree information set, the second-level pollution degree information set and the third-level pollution degree information set respectively, and the first-level index evaluation result, the second-level index evaluation result and the third-level index evaluation result are obtained;

Inputting the primary index evaluation result, the secondary index evaluation result and the tertiary index evaluation result into a pre-constructed water quality evaluation model to obtain the current water quality detection evaluation result of the target drinking water, wherein the method comprises the following steps:

acquiring a first-level index evaluation result set, a second-level index evaluation result set and a third-level index evaluation result set of a sample according to the water quality detection condition of the target drinking water in the historical time;

constructing a three-dimensional coordinate space based on the first-level index evaluation result, the second-level index evaluation result and the third-level index evaluation result;

dividing the sample primary index evaluation result set, the sample secondary index evaluation result set and the sample tertiary index evaluation result set to obtain a plurality of sample input data;

inputting the plurality of sample input data into the three-dimensional coordinate space to obtain a plurality of sample coordinate points;

performing cluster analysis on the plurality of sample coordinate points to obtain a plurality of cluster results;

according to the water quality detection condition of the target drinking water in the historical time, performing water quality grade assessment to obtain a plurality of sample water quality detection assessment results;

marking the clustering results by adopting the water quality detection and evaluation results of the samples to obtain the constructed water quality evaluation model;

Inputting the primary index evaluation result, the secondary index evaluation result and the tertiary index evaluation result into the water quality evaluation model to obtain the water quality detection evaluation result;

inputting the first-level index evaluation result, the second-level index evaluation result and the third-level index evaluation result into the water quality evaluation model to obtain the water quality detection evaluation result, wherein the method comprises the following steps of:

inputting the primary index evaluation result, the secondary index evaluation result and the tertiary index evaluation result into the water quality evaluation model to obtain a current coordinate point;

obtaining a clustering result corresponding to the current coordinate point as a current clustering result;

obtaining the water quality detection evaluation result according to the current clustering result;

the construction process of the detection frequency adjustment model comprises the following steps:

obtaining a plurality of sample pollution rates of the plurality of detection indexes, and obtaining a plurality of sample pollution rate sets;

setting and obtaining a plurality of sample detection frequency adjustment parameter sets according to the plurality of sample pollution rate sets;

randomly selecting a first sample pollution rate from a first sample pollution rate set, and constructing a first classification node of a first detection frequency adjustment sub-model, wherein the first sample pollution rate set belongs to the plurality of sample pollution rate sets;

Randomly selecting a first sample pollution rate from the first sample pollution rate set again, and constructing a second classification node of the first detection frequency adjustment sub-model;

continuously constructing a multi-stage classification node of the first detection frequency adjustment sub-model, and obtaining a plurality of final classification results of the multi-stage classification node;

marking a plurality of sample detection frequency adjustment parameters in a first sample detection frequency adjustment parameter set as a plurality of decision results and a plurality of final classification results to obtain a constructed first detection frequency adjustment sub-model;

and continuing to construct and obtain a plurality of other detection frequency adjustment sub-models, and combining the first detection frequency adjustment sub-model to obtain the detection frequency adjustment model.

2. A potable water quality testing analysis evaluation system, the system comprising:

the water quality detection analysis module is used for acquiring a plurality of detection indexes and a plurality of index parameter standards for detecting the water quality of the target drinking water;

the detection frequency setting module is used for setting the detection frequencies of the plurality of detection indexes according to the water quality detection condition of the target drinking water in the historical time to obtain a plurality of detection frequency information;

The detection result generation module is used for detecting the water body sample of the target drinking water according to the plurality of detection frequency information and the plurality of detection indexes to obtain a plurality of current index parameters serving as a current detection result;

the health hazard analysis module is used for analyzing the hazard affecting the human health after the plurality of detection indexes are drunk and obtaining a plurality of hazard information;

the detection index sequencing module is used for sequencing the plurality of detection indexes according to the water quality detection condition of the target drinking water in the historical time and the plurality of hazard information to obtain a detection index sequence;

the index sequence splitting module is used for obtaining a first-level detection index set, a second-level detection index set and a third-level detection index set according to the detection index sequence;

the water quality evaluation execution module is used for respectively carrying out water quality evaluation according to the current detection result and the first-level detection index set, the second-level detection index set and the third-level detection index set to obtain a first-level index evaluation result, a second-level index evaluation result and a third-level index evaluation result;

the evaluation result obtaining module is used for inputting the primary index evaluation result, the secondary index evaluation result and the tertiary index evaluation result into a pre-constructed water quality evaluation model to obtain the current water quality detection evaluation result of the target drinking water;

The time range obtaining unit is used for obtaining a preset time range;

the historical data calculation unit is used for calculating and obtaining a plurality of historical pollution rates of the plurality of detection indexes according to the plurality of historical pollution index parameter sets and the plurality of historical index parameter sets, wherein the historical pollution rates are all data percentages in index parameters, which are not met by index parameter standards, in the historical index parameter sets obtained by detection according to the preset detection frequency of the detection indexes within a preset time range;

The detection frequency obtaining unit is used for respectively adjusting the preset detection frequency by adopting the plurality of adjustment parameters to obtain the plurality of detection frequency information;

the detection index sorting unit is used for sorting the plurality of detection indexes according to the sizes of the plurality of weighted sorting indexes from large to small to obtain the detection index sequence;

the weighted calculation execution unit is used for respectively adopting the primary weight value set, the secondary weight value set and the tertiary weight value set to carry out weighted calculation on the pollution degree information in the primary pollution degree information set, the secondary pollution degree information set and the tertiary pollution degree information set to obtain the primary index evaluation result, the secondary index evaluation result and the tertiary index evaluation result;

The evaluation result obtaining unit is used for inputting the primary index evaluation result, the secondary index evaluation result and the tertiary index evaluation result into the water quality evaluation model to obtain the water quality detection evaluation result;

the clustering result processing unit is used for obtaining the water quality detection evaluation result according to the current clustering result;