Water treatment control method for domestic water supply storage tank and water supply tank

Abstract

The invention discloses a water treatment control method for a domestic water supply storage tank and a water supply tank, and relates to the technical field of water treatment.The method comprises the steps that water use data in the water supply storage tank within a preset time range is collected; acquiring a storage duration parameter; optimizing the flowing filtration and disinfection parameters to obtain a stage optimization result; carrying out supplementary analysis on dissolved oxygen in water, and carrying out correction calculation on the treatment fitness of multiple stages according to a result; and based on the multiple correction fitness degrees, discriminant optimization updating is performed on the stage optimization result, optimization continues to be performed until convergence is achieved, optimal filtering and disinfection parameters are obtained, and water control treatment is performed in the water supply storage tank. The technical problem that in the prior art, due to the fact that the fluctuation condition of the water quality in the water supply storage tank is not clearly recognized due to the water supply and supplement operation, water treatment control is inaccurate is solved, and the technical effects of reliably analyzing the water quality change in the water supply storage tank and improving the water treatment control accuracy are achieved.

Description

Technical Field

[0001] The invention relates to the technical field of water treatment, and in particular to a water treatment control method for a domestic water supply storage tank and a water supply tank. Background Art

[0002] The water quality of water supply storage tanks is directly related to people's health. If the water quality is substandard or contaminated, drinking it may cause various health problems, including gastrointestinal diseases, waterborne infectious diseases, etc. Therefore, ensuring the safety of water quality in water supply storage tanks is crucial to the health of residents.

[0003] At present, when water supply storage tanks are used for water treatment, the water in the tanks is mainly filtered and disinfected by means of a preset disinfection scheme, and disinfectants that do not meet the actual water quality of the water supply storage tanks are often added, affecting the water quality of the water supply. The prior art has a technical problem of not being able to clearly identify the fluctuations in the water quality in the water supply storage tanks caused by the water replenishment operation, resulting in inaccurate water treatment control. Summary of the invention

[0004] The present application provides a water treatment control method and a water supply tank for a domestic water supply storage tank, which are used to solve the technical problem in the prior art that the fluctuation of the water quality in the water supply storage tank caused by water replenishment operation is not clearly identified, resulting in inaccurate water treatment control.

[0005] In view of the above problems, the present application provides a water treatment control method for a domestic water supply storage tank and a water supply tank.

[0006] In a first aspect of the present application, a water treatment control method for a domestic water supply storage tank is provided, the method comprising: collecting water usage data in the water supply storage tank within a preset time range;

[0007] Performing water storage continuity analysis based on the water usage data to obtain storage continuity parameters;

[0008] According to the storage duration parameter, the flow filtration disinfection parameter is optimized to obtain a stage optimization result, wherein the optimization is performed for the purpose of reducing the content of microorganisms and impurities in water, and the stage optimization result includes multiple stage filtration disinfection parameters and multiple stage processing fitness;

[0009] Performing dissolved oxygen supplementation analysis in water according to the multiple stage filtration and disinfection parameters, and performing correction calculation on the multiple stage treatment fitness according to the multiple dissolved oxygen supplementation analysis results to obtain multiple corrected fitness;

[0010] Based on the multiple corrected fitnesses, the stage optimization results are discriminated and optimized and updated, and the optimization is continued until convergence to obtain the final optimization result, and the final filtration and disinfection parameters with the largest corrected fitness in the final optimization result are output to obtain the optimal filtration and disinfection parameters, and the water is controlled and processed in the water supply storage tank.

[0011] In a second aspect of the present application, a water supply storage tank is provided, wherein the water supply storage tank comprises a water treatment control system for a domestic water supply storage tank, the system comprising:

[0012] A water usage data collection module, used to collect water usage data in the water supply storage tank within a preset time range;

[0013] A storage duration parameter acquisition module, used to perform water storage duration analysis based on the water usage data and obtain storage duration parameters;

[0014] A stage optimization result acquisition module is used to optimize the flow filtration disinfection parameters according to the storage duration parameters to obtain the stage optimization results, wherein the optimization is performed for the purpose of reducing the content of microorganisms and impurities in the water, and the stage optimization results include multiple stage filtration disinfection parameters and multiple stage processing fitness, and the flow filtration disinfection parameters are used to perform flow filtration disinfection treatment on the water in the water supply storage tank;

[0015] A modified fitness acquisition module is used to perform dissolved oxygen supplementation analysis in water according to the multiple stage filtration and disinfection parameters, and perform correction calculation on the multiple stage processing fitness according to the multiple dissolved oxygen supplementation analysis results to obtain multiple modified fitness;

[0016] The control processing module is used to perform discriminative optimization and update on the stage optimization results based on the multiple corrected fitnesses, continue to optimize until convergence, obtain the final optimization result, output the final filtration and disinfection parameters with the largest corrected fitness in the final optimization result, obtain the optimal filtration and disinfection parameters, and control the water in the water supply storage tank.

[0017] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0018] The present application collects water usage data in a water supply storage tank within a preset time range, and then performs continuous water storage analysis based on the water usage data, obtains storage continuity parameters, and then optimizes the flow filtration disinfection parameters based on the storage continuity parameters to obtain stage optimization results, wherein the optimization is performed for the purpose of reducing the content of microorganisms and impurities in water, and the stage optimization results include multiple stage filtration disinfection parameters and multiple stage processing fitness, the flow filtration disinfection parameters are used to perform flow filtration disinfection treatment on the water in the water supply storage tank, and then the dissolved oxygen supplementation analysis in the water is performed based on the multiple stage filtration disinfection parameters, and the multiple stage processing fitness is corrected and calculated based on the multiple dissolved oxygen supplementation analysis results to obtain multiple corrected fitness, and then based on the multiple corrected fitness, the stage optimization results are discriminated and optimized and updated, and the optimization is continued until convergence to obtain the final optimization result, and the final filtration disinfection parameter with the largest corrected fitness in the final optimization result is output, and the optimal filtration disinfection parameter is obtained, and the water control treatment is performed in the water supply storage tank. The technical effect of improving the accuracy of water treatment control and improving the degree of fit between water treatment and the actual water quality of the water supply storage tank is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0020] Figure 1 A schematic flow chart of a water treatment control method for a domestic water supply storage tank provided in an embodiment of the present application;

[0021] Figure 2 A schematic diagram of the structure of a water treatment control system for a domestic water supply storage tank provided in an embodiment of the present application.

[0022] Explanation of the reference numerals: water usage data acquisition module 11 , storage continuous parameter acquisition module 12 , stage optimization result acquisition module 13 , correction fitness acquisition module 14 , control processing module 15 . DETAILED DESCRIPTION

[0023] The present application provides a water treatment control method and a water supply tank for a domestic water supply storage tank, aiming to solve the technical problem in the prior art of unclear identification of fluctuations in water quality in the water supply storage tank caused by water replenishment operations, resulting in inaccurate water treatment control.

[0024] The technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0025] It should be noted that the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or modules that are not explicitly listed or inherent to these processes, methods, products or devices.

[0026] Embodiment 1

[0027] like Figure 1 As shown, the present application provides a water treatment control method for a domestic water supply storage tank, wherein the method comprises:

[0028] S100: Collecting water usage data in the water supply storage tank within a preset time range;

[0029] Furthermore, water usage data in the water supply storage tank within a preset time range is collected. Step S100 in the embodiment of the present application further includes:

[0030] The time from the last water filtration and disinfection treatment to the current time is used as the preset time range;

[0031] The accumulated water use information and accumulated water replenishment information of the water supply storage tank within the preset time range are collected as the water usage data, wherein the accumulated water use information includes accumulated multiple water use time information and water consumption information.

[0032] In a possible embodiment, the domestic water supply storage tank is a container or water storage tank for storing domestic water, which can be made of plastic, fiberglass or metal. As the domestic water supply storage tank is used and replenished, the water quality in the water supply storage tank will change. Therefore, it is necessary to collect the water usage in the water supply storage tank within a preset time range to obtain the water usage data. The water usage data is obtained to provide reliable data support for the subsequent processing of the water quality in the water supply storage tank.

[0033] Optionally, the preset time range is the time from the last water filtration and disinfection treatment to the current moment, which can be one day, three days, etc. By collecting multiple water use situations and multiple water replenishment situations in the water supply storage tank within the preset time range, cumulative water use information and cumulative water replenishment information are obtained, and the cumulative water use information and cumulative water replenishment information are used as the water usage data. Among them, the cumulative water use information is multiple water use time information and water consumption information accumulated in the water supply storage tank within the preset time range. The cumulative water replenishment information is multiple water replenishment time information and multiple water replenishment quantity information accumulated in the water supply storage tank within the preset time range.

[0034] S200: Performing water storage continuity analysis based on the water usage data to obtain storage continuity parameters;

[0035] Further, based on the water usage data, water continuous storage analysis is performed to obtain storage continuity parameters. Step S200 of the embodiment of the present application further includes:

[0036] Collect a set of sample water usage data, and collect a set of sample storage duration parameters according to the storage composition information of water in the water supply storage tank under different sample water usage data;

[0037] Based on the sample water usage data set and the sample storage duration parameter set, a water storage analyzer is trained to perform water storage duration analysis on the water usage data to obtain storage duration parameters.

[0038] In a possible embodiment, after obtaining the water usage data, a cumulative water usage change curve is constructed based on multiple water usage time information and water usage information accumulated in the cumulative water usage information. The cumulative water usage change curve reflects the fluctuation of the cumulative water usage of the water supply storage tank within the preset time range. By constructing the cumulative water usage change curve, the data fluctuation in the cumulative water usage information is converted into an intuitive curve fluctuation, eliminating the influence of the specific time point of water usage on the data, and paving the way for subsequent continuous water storage analysis.

[0039] Construct a cumulative water use coordinate system, in which the horizontal axis is the water use time and the vertical axis is the water consumption. Multiple accumulated water use time information and water consumption information are input into the cumulative water use coordinate system to obtain multiple coordinate points. The multiple coordinate points are connected in chronological order to obtain the cumulative water use change curve.

[0040] Based on the same construction principle as the cumulative water usage variation curve, a cumulative water replenishment variation curve is constructed according to the cumulative water replenishment information in the water usage data (multiple water replenishment time information and multiple water replenishment amount information accumulated in the water supply storage tank within a preset time range).

[0041] The cumulative water consumption change curve and the cumulative water replenishment change curve are input into the water storage analyzer for identification to obtain a storage duration parameter. The storage duration parameter is used to describe the change in the storage water quality of the water supply storage tank within the preset time range, and can be the water quality change amplitude, etc.

[0042] Optionally, the sample water usage data set is collected, and water quality test data of water supply tanks under different sample water usage data are extracted, and the difference between the extraction result and the initial water quality test data of the water supply tanks corresponding to the different sample water usage data is calculated to obtain multiple sample water quality change ranges. The multiple sample water quality change ranges are used as the sample storage persistence parameter set.

[0043] Optionally, a plurality of sample cumulative water use change curves and a plurality of sample cumulative water replenishment change curves are constructed according to a plurality of sample cumulative water use information and a plurality of sample cumulative water replenishment information included in the sample water use data set.

[0044] The multiple sample cumulative water use change curves, the multiple sample cumulative water replenishment change curves and the sample storage duration parameter set are used as training data, and supervised training is performed on the model built based on the convolutional neural network. The many-to-one mapping relationship between the cumulative water use change curve and the cumulative water replenishment change curve and the storage duration parameter is learned, so as to intelligently identify the storage duration parameter, until the model converges and / or reaches the maximum number of iterations, the training is stopped, and the trained water storage analyzer is obtained.

[0045] S300: Optimizing the flow filtration disinfection parameters according to the storage duration parameters to obtain stage optimization results, wherein the optimization is performed for the purpose of reducing the content of microorganisms and impurities in the water, and the stage optimization results include multiple stage filtration disinfection parameters and multiple stage processing fitness, and the flow filtration disinfection parameters are used to perform flow filtration disinfection treatment on the water in the water supply storage tank;

[0046] Further, according to the storage duration parameter, the flow filtration disinfection parameter is optimized to obtain a stage optimization result. Step S300 of the embodiment of the present application further includes:

[0047] Establish filtration and disinfection constraints based on the microbial content and impurity content requirements in domestic water;

[0048] In order to reduce the content of microorganisms and impurities in water, a disinfection filtration function is constructed to optimize the filtration and disinfection parameters, as shown in the following formula:

[0049] DFF=w d log 0.2 M+w f log 0.2 P+w Qlog 0.2 Q;

[0050] Among them, DFF is the processing fitness, w d 、w f and w Q are disinfection weight, filtration weight and cost weight respectively, M is the microbial content after disinfection filtration, P is the impurity content after disinfection filtration, and Q is the ratio of the cost of filtration and disinfection parameters to the preset cost;

[0051] Acquire a filtering and disinfection parameter space, and randomly generate a plurality of first filtering and disinfection parameters in the filtering and disinfection parameter space;

[0052] According to a plurality of first filtration and disinfection parameters, combined with the storage duration parameter, a disinfection and filtration prediction is performed to obtain a plurality of first microorganism contents and a plurality of first impurity contents. When the filtration and disinfection constraints are met, a plurality of first processing fitnesses are calculated and obtained in combination with a plurality of cost ratios. When the filtration and disinfection constraints are not met, the first filtration and disinfection parameters are regenerated;

[0053] According to multiple first processing fitnesses, multiple first filtering and disinfection parameters are divided to obtain stage optimized filtering and disinfection parameters and other multiple stage common filtering and disinfection parameters as multiple stage filtering and disinfection parameters, and multiple first processing fitnesses are used as multiple stage processing fitnesses to obtain stage optimization results.

[0054] Further, according to the plurality of first filtration and disinfection parameters, combined with the storage duration parameter, disinfection and filtration prediction is performed, and step S300 of the embodiment of the present application further includes:

[0055] According to the water treatment data log of the water supply storage tank, collect the sample storage continuous parameter set, and collect the sample filtration and disinfection parameter set, the sample microbial content information set and the sample impurity content information set;

[0056] The sample storage duration parameter set, sample filtration and disinfection parameter set, sample microbial content information set and sample impurity content information set are used to train a disinfection filtration predictor, predict the multiple first filtration and disinfection parameters and storage duration parameters, and obtain multiple first microbial contents and multiple first impurity contents.

[0057] In a possible embodiment, the storage duration parameter reflects the degree of influence on the water quality of the water supply tank after the water supply tank performs water use / water replenishment operations within a preset time range. Therefore, according to the size of the storage duration parameter, the flow filtration disinfection parameter is optimized for the purpose of reducing the content of microorganisms and impurities in the water to obtain the stage optimization result. Among them, the stage optimization result reflects the corresponding effect when the water in the water supply tank is flow filtered and disinfected according to different filtration and disinfection parameters, including multiple stage filtration and disinfection parameters and multiple stage processing fitness.

[0058] In one embodiment, the microbial content requirements and impurity content requirements of the domestic water stored in the domestic water supply storage tank are extracted as necessary conditions that the water quality after flow filtration and disinfection treatment needs to meet, and the filtration and disinfection constraints are constructed. Furthermore, with the purpose of reducing the content of microorganisms and impurities in the water, a disinfection filtration function is constructed to optimize the filtration and disinfection parameters.

[0059] Optionally, the disinfection filtration function is used to quantitatively analyze the adaptability of the water supply tank to the treatment according to the filtration and disinfection parameters from three dimensions: the microbial content after disinfection filtration, the impurity content after disinfection filtration, and the cost required for disinfection filtration treatment using the filtration and disinfection parameters and the preset cost (the cost required for disinfection filtration treatment pre-set by technicians in this field). The greater the treatment fitness obtained after the disinfection filtration function analysis, the better the effect of the disinfection filtration treatment of the water supply tank according to the corresponding filtration and disinfection parameters.

[0060] Preferably, DFF in the disinfection filter function is the processing fitness, w d 、w f and w Q They are disinfection weight, filtration weight and cost weight respectively. M is the microbial content after disinfection filtration, P is the impurity content after disinfection filtration, and Q is the ratio of the cost of filtration and disinfection parameters to the preset cost.

[0061] In a possible embodiment, the filtration and disinfection parameter space is a parameter interval that can be selected when the water supply storage tank is disinfected and filtered, including a disinfectant treatment time interval, a disinfectant concentration interval, a water temperature control interval, a filter flow rate interval, a filtration number interval, and a filter pressure interval. By randomly selecting parameters in the filtration and disinfection parameter interval, a plurality of first filtration and disinfection parameters are obtained. Optionally, the first filtration and disinfection parameters include disinfectant treatment time, disinfectant concentration, water temperature control, filter flow rate, filtration number, and filter pressure.

[0062] The disinfection filtration predictor is used to predict the water quality after disinfection filtration based on the multiple first filtration and disinfection parameters and the storage duration parameters, and generate multiple first microbial contents and multiple first impurity contents.

[0063] Optionally, according to the water treatment data log of the water supply storage tank, a sample storage persistence parameter set is collected, and a sample filtration and disinfection parameter set, a sample microbial content information set, and a sample impurity content information set are collected. The water treatment data log is used to describe the record of water treatment of the water supply storage tank.

[0064] Furthermore, according to the sample storage duration parameter set, the sample filtration and disinfection parameter set, the sample microbial content information set and the sample impurity content information set, a many-to-many mapping relationship between the filtration and disinfection parameters and the storage duration parameters and the microbial content and the impurity content is constructed. The sample storage duration parameter set, the sample filtration and disinfection parameter set, the sample microbial content information set and the sample impurity content information set are used as construction data, and the convolutional neural network is supervised and trained to learn the many-to-many mapping relationship until the model output reaches convergence, thereby obtaining the trained disinfection and filtration predictor.

[0065] After obtaining the multiple first microbial contents and the multiple first impurity contents, the filtration and disinfection constraints are used to perform constraint identification to determine whether the multiple first microbial contents and the multiple first impurity contents meet the microbial content requirements and impurity content requirements in domestic water. When the disinfection and filtration constraints are met, the multiple cost ratios are combined and input into the disinfection and filtration function to generate multiple first processing fitnesses.

[0066] When the filtration and disinfection constraints are not met, the multiple first filtration and disinfection parameters are divided, and the first filtration and disinfection parameters corresponding to the maximum value of the multiple first processing fitnesses are used as the stage optimization filtration and disinfection parameters, and the first filtration and disinfection parameters corresponding to the other multiple first processing fitnesses are used as multiple stage common filtration and disinfection parameters. The stage optimization filtration and disinfection parameters and the multiple stage common filtration and disinfection parameters are used as multiple stage filtration and disinfection parameters.

[0067] The plurality of first processing fitnesses are used as a plurality of stage processing fitnesses. Furthermore, the plurality of stage filtration and disinfection parameters and the plurality of stage processing fitnesses are used as stage optimization results.

[0068] S400: performing dissolved oxygen supplementation analysis in water according to the multiple stage filtration and disinfection parameters, and performing correction calculation on the multiple stage treatment fitness according to the multiple dissolved oxygen supplementation analysis results to obtain multiple corrected fitness;

[0069] Further, according to the multiple stage filtration and disinfection parameters, the dissolved oxygen supplementation analysis in the water is performed, and according to the multiple dissolved oxygen supplementation analysis results, the multiple stage processing fitness is corrected and calculated to obtain multiple corrected fitness. The step S400 of the embodiment of the present application also includes:

[0070] According to the multiple stage filtration and disinfection parameters, a prediction analysis of dissolved oxygen replenishment in water is performed to obtain multiple dissolved oxygen replenishment analysis results, wherein a dissolved oxygen replenishment predictor is trained by collecting sample filtration and disinfection parameters, sample storage duration parameters and sample dissolved oxygen replenishment information to perform prediction analysis of dissolved oxygen replenishment in water;

[0071] According to multiple dissolved oxygen supplementation analysis results and preset dissolved oxygen concentrations, multiple fitness correction coefficients are calculated, and correction calculations are performed on the fitness of multiple stage treatments to obtain multiple corrected fitnesses.

[0072] In a possible embodiment, when water is stored for a long time, the dissolved oxygen in the water may gradually decrease, which is conducive to the growth of anaerobic microorganisms, and may further lead to deterioration of water quality. When filtering and flowing, the dissolved oxygen in the water will increase again. Therefore, the fitness of the treatment in the multiple stages can be corrected and calculated from the perspective of the degree of dissolved oxygen replenishment in the water, so as to achieve the goal of fitness correction and adjustment optimization of the stage optimization results. The technical effect of improving the reliability of analysis and the accuracy of water treatment control is achieved.

[0073] Optionally, the replenishment degree of dissolved oxygen in the water after the water supply tank is disinfected and filtered according to the multiple stage filtration and disinfection parameters is analyzed, and the multiple stage processing fitness is corrected and calculated from the perspective of the replenishment degree of dissolved oxygen in the water, thereby obtaining the multiple corrected fitness. Among them, the multiple corrected fitness reflects the effect of disinfection and filtration of the water supply tank after comprehensive analysis of multiple dimensions by the multiple stage filtration and disinfection parameters. The larger the corrected fitness, the better the disinfection and filtration effect.

[0074] In a possible embodiment, a prediction analysis of dissolved oxygen replenishment in water is performed according to the multiple stage filtration and disinfection parameters to obtain multiple dissolved oxygen replenishment analysis results. In particular, by collecting sample filtration and disinfection parameters, sample storage duration parameters and sample dissolved oxygen replenishment information, a dissolved oxygen replenishment predictor is trained to perform prediction analysis of dissolved oxygen replenishment in water.

[0075] Optionally, by using sample filtration and disinfection parameters, sample storage duration parameters and sample dissolved oxygen replenishment information as predictor training data, the predictor training data is equally divided into n groups, the convolutional neural network is trained using each of the n groups of data, and the network parameters of the dissolved oxygen replenishment predictor are updated and adjusted according to the output results of the previous group of data until the output results meet the requirements, thereby obtaining the trained dissolved oxygen replenishment predictor.

[0076] Optionally, the ratio of multiple dissolved oxygen supplementation analysis results to a preset dissolved oxygen concentration (the dissolved oxygen concentration in the water supply storage tank set by a person skilled in the art) is used as multiple fitness correction coefficients. The multiple fitness correction coefficients are multiplied by the multiple stage processing fitnesses to complete the correction calculation operation and obtain multiple corrected fitnesses.

[0077] S500: Based on the multiple corrected fitnesses, the stage optimization results are discriminated and optimized and updated, and the optimization is continued until convergence to obtain the final optimization result, and the final filtration and disinfection parameters with the largest corrected fitness in the final optimization result are output to obtain the optimal filtration and disinfection parameters, and the water is controlled and processed in the water supply storage tank.

[0078] Further, based on the multiple corrected fitnesses, the stage optimization results are discriminated and optimized and updated. Step S500 of the embodiment of the present application further includes:

[0079] According to multiple modified fitnesses, the phase-optimized filtering and disinfection parameters and the multiple phase-normal filtering and disinfection parameters are judged and updated;

[0080] Taking the optimized filtering and disinfection parameters of the updated stage as the adjustment direction, adjusting the common filtering and disinfection parameters of multiple updated stages to obtain multiple iterative filtering and disinfection parameters;

[0081] Process and calculate to obtain multiple iterative processing fitness of multiple iterative filtering and disinfection parameters, regenerate the stage optimization results, and continue to correct and optimize the fitness;

[0082] Continue to optimize until convergence and obtain the final optimization result.

[0083] In one possible embodiment, based on the multiple corrected fitnesses, the stage optimization results are discriminated and optimized and updated to determine the direction of iterative adjustment. After multiple optimizations until convergence, the final optimization result is obtained, and the final filtration and disinfection parameters with the largest corrected fitness in the final optimization result are output. The final filtration and disinfection parameters are used as the optimal filtration and disinfection parameters to control water in the water supply storage tank.

[0084] In a possible embodiment, the stage-optimized filtration and disinfection parameters and the multiple-stage common filtration and disinfection parameters are distinguished and updated according to a plurality of corrected fitnesses, and the stage-optimized filtration and disinfection parameters and the multiple-stage common filtration and disinfection parameters are updated from the perspective of dissolved oxygen supplementation. Preferably, the stage-optimized filtration and disinfection parameters are updated according to the filtration and disinfection parameters corresponding to the maximum value among the multiple corrected fitnesses, and the multiple-stage common filtration and disinfection parameters are updated according to the remaining filtration and disinfection parameters.

[0085] Optionally, according to the first adjustment step (the amplitude of a single adjustment of the filtration and disinfection parameters) pre-set by a technician in this field, the updated stage optimized filtration and disinfection parameters are used as the adjustment direction, and the updated multiple stage ordinary filtration and disinfection parameters are adjusted to obtain multiple iterative filtration and disinfection parameters.

[0086] Then, based on the same method of obtaining the fitness of the multiple first processing, the multiple iterative filtering and disinfection parameters are identified by using the disinfection filtering function, multiple iterative processing fitness of the multiple iterative filtering and disinfection parameters are obtained, the stage optimization results are regenerated, and fitness correction and optimization are continued. After multiple iterative optimizations, until the preset number of iterations is met, the final optimization result is obtained.

[0087] In summary, the embodiments of the present application have at least the following technical effects:

[0088] This application collects water usage data in a water supply storage tank within a preset time range, and then performs continuous water storage analysis based on the water usage data to obtain storage continuity parameters, thereby achieving the goal of mastering water quality changes, and then optimizes the flow filtration and disinfection parameters based on the storage continuity parameters to obtain stage optimization results, thereby achieving the goal of determining stage filtration and disinfection parameters based on water quality conditions, and then performs dissolved oxygen supplementation analysis in water based on multiple stage filtration and disinfection parameters, and performs correction calculations on multiple stage processing fitness based on multiple dissolved oxygen supplementation analysis results to obtain multiple corrected fitnesses, and then based on multiple corrected fitnesses, performs discriminative optimization and update on the stage optimization results, continues to optimize until convergence, obtains the final optimization result, outputs the final filtration and disinfection parameters with the largest corrected fitness within the final optimization result, obtains the optimal filtration and disinfection parameters, and performs water control processing in the water supply storage tank. The technical effect of improving the accuracy of water treatment control and improving the degree of fit between water treatment and the actual water quality of the water supply storage tank is achieved.

[0089] Embodiment 2

[0090] The present application provides a water supply storage tank, which includes a water treatment control system for a domestic water supply storage tank, and the infrastructure of the water supply storage tank includes a water source and a water pump system, a water pipeline system, water treatment equipment, a control system, and maintenance facilities.

[0091] Based on the same inventive concept as the water treatment control method for the domestic water supply storage tank in the aforementioned embodiment, Figure 2 As shown, the present application provides a water treatment control system for a domestic water supply storage tank, and the system and method embodiments in the present application embodiments are based on the same inventive concept. The system includes:

[0092] The water usage data collection module 11 is used to collect water usage data in the water supply storage tank within a preset time range;

[0093] A storage duration parameter acquisition module 12, for performing water storage duration analysis based on the water usage data to obtain storage duration parameters;

[0094] The stage optimization result obtaining module 13 is used to optimize the flow filtration disinfection parameters according to the storage duration parameters to obtain the stage optimization results, wherein the optimization is performed for the purpose of reducing the content of microorganisms and impurities in the water, and the stage optimization results include multiple stage filtration disinfection parameters and multiple stage processing fitness, and the flow filtration disinfection parameters are used to perform flow filtration disinfection treatment on the water in the water supply storage tank;

[0095] A modified fitness obtaining module 14 is used to perform dissolved oxygen supplementation analysis in water according to the multiple stage filtration and disinfection parameters, and perform correction calculation on the multiple stage processing fitness according to the multiple dissolved oxygen supplementation analysis results to obtain multiple modified fitness;

[0096] The control processing module 15 is used to perform discrimination optimization and update on the stage optimization results based on the multiple corrected fitnesses, continue to optimize until convergence, obtain the final optimization result, output the final filtration and disinfection parameters with the largest corrected fitness in the final optimization result, obtain the optimal filtration and disinfection parameters, and perform water control processing in the water supply storage tank.

[0097] Furthermore, the water usage data collection module 11 is used to perform the following steps:

[0098] The time from the last water filtration and disinfection treatment to the current time is used as the preset time range;

[0099] The accumulated water use information and accumulated water replenishment information of the water supply storage tank within the preset time range are collected as the water usage data, wherein the accumulated water use information includes accumulated multiple water use time information and water consumption information.

[0100] Furthermore, the storage duration parameter obtaining module 12 is used to perform the following steps:

[0101] Collect a set of sample water usage data, and collect a set of sample storage duration parameters according to the storage composition information of water in the water supply storage tank under different sample water usage data;

[0102] Based on the sample water usage data set and the sample storage duration parameter set, a water storage analyzer is trained to perform water storage duration analysis on the water usage data to obtain storage duration parameters.

[0103] Furthermore, the stage optimization result obtaining module 13 is used to perform the following steps:

[0104] Establish filtration and disinfection constraints based on the microbial content and impurity content requirements in domestic water;

[0105] In order to reduce the content of microorganisms and impurities in water, a disinfection filtration function is constructed to optimize the filtration and disinfection parameters, as shown in the following formula:

[0106] DFF=w d log 0.2 M+w f log 0.2 P+w Q log 0.2 Q;

[0107] Among them, DFF is the processing fitness, w d 、w f and w Q are disinfection weight, filtration weight and cost weight respectively, M is the microbial content after disinfection filtration, P is the impurity content after disinfection filtration, and Q is the ratio of the cost of filtration and disinfection parameters to the preset cost;

[0108] Acquire a filtering and disinfection parameter space, and randomly generate a plurality of first filtering and disinfection parameters in the filtering and disinfection parameter space;

[0109] According to a plurality of first filtration and disinfection parameters, combined with the storage duration parameter, a disinfection and filtration prediction is performed to obtain a plurality of first microorganism contents and a plurality of first impurity contents. When the filtration and disinfection constraints are met, a plurality of first processing fitnesses are calculated and obtained in combination with a plurality of cost ratios. When the filtration and disinfection constraints are not met, the first filtration and disinfection parameters are regenerated;

[0110] According to multiple first processing fitnesses, multiple first filtering and disinfection parameters are divided to obtain stage optimized filtering and disinfection parameters and other multiple stage common filtering and disinfection parameters as multiple stage filtering and disinfection parameters, and multiple first processing fitnesses are used as multiple stage processing fitnesses to obtain stage optimization results.

[0111] Furthermore, the stage optimization result obtaining module 13 is used to perform the following steps:

[0112] According to the water treatment data log of the water supply storage tank, collect the sample storage continuous parameter set, and collect the sample filtration and disinfection parameter set, the sample microbial content information set and the sample impurity content information set;

[0113] The sample storage duration parameter set, sample filtration and disinfection parameter set, sample microbial content information set and sample impurity content information set are used to train a disinfection filtration predictor, predict the multiple first filtration and disinfection parameters and storage duration parameters, and obtain multiple first microbial contents and multiple first impurity contents.

[0114] Furthermore, the modified fitness obtaining module 14 is used to perform the following steps:

[0115] According to the multiple stage filtration and disinfection parameters, a prediction analysis of dissolved oxygen replenishment in water is performed to obtain multiple dissolved oxygen replenishment analysis results, wherein a dissolved oxygen replenishment predictor is trained by collecting sample filtration and disinfection parameters, sample storage duration parameters and sample dissolved oxygen replenishment information to perform prediction analysis of dissolved oxygen replenishment in water;

[0116] According to multiple dissolved oxygen supplementation analysis results and preset dissolved oxygen concentrations, multiple fitness correction coefficients are calculated, and correction calculations are performed on the fitness of multiple stage treatments to obtain multiple corrected fitnesses.

[0117] Furthermore, the control processing module 15 is used to perform the following steps:

[0118] According to multiple modified fitnesses, the phase-optimized filtering and disinfection parameters and the multiple phase-normal filtering and disinfection parameters are judged and updated;

[0119] Taking the optimized filtering and disinfection parameters of the updated stage as the adjustment direction, adjusting the common filtering and disinfection parameters of multiple updated stages to obtain multiple iterative filtering and disinfection parameters;

[0120] Process and calculate to obtain multiple iterative processing fitness of multiple iterative filtering and disinfection parameters, regenerate the stage optimization results, and continue to correct and optimize the fitness;

[0121] Continue to optimize until convergence and obtain the final optimization result.

[0122] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description and does not represent the advantages and disadvantages of the embodiments. And the above-mentioned specific embodiments of this specification are described. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0123] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.

[0124] This specification and drawings are merely exemplary illustrations of the present application and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

Claims

1. A water treatment control method for a domestic water storage tank, characterized in that: The method comprises: Collect water usage data in the water supply storage tank within a preset time range; Performing water storage continuity analysis based on the water usage data to obtain storage continuity parameters; According to the storage duration parameter, the flow filtration disinfection parameter is optimized to obtain a stage optimization result, wherein the optimization is performed for the purpose of reducing the content of microorganisms and impurities in the water, and the stage optimization result includes multiple stage filtration disinfection parameters and multiple stage processing fitness, and the flow filtration disinfection parameter is used to perform flow filtration disinfection treatment on the water in the water supply storage tank; Performing dissolved oxygen supplementation analysis in water according to the multiple stage filtration and disinfection parameters, and performing correction calculation on the multiple stage treatment fitness according to the multiple dissolved oxygen supplementation analysis results to obtain multiple corrected fitness; Based on the multiple corrected fitnesses, the stage optimization results are discriminated and optimized and updated, and the optimization is continued until convergence to obtain the final optimization result, and the final filtration and disinfection parameters with the largest corrected fitness in the final optimization result are output to obtain the optimal filtration and disinfection parameters, and the water is controlled and processed in the water supply storage tank.

2. The method according to claim 1, characterized in that Collect water usage data in the water supply tank within a preset time range, including: The time from the last water filtration and disinfection treatment to the current time is used as the preset time range; The accumulated water use information and accumulated water replenishment information of the water supply storage tank within the preset time range are collected as the water usage data, wherein the accumulated water use information includes accumulated multiple water use time information and water consumption information.

3. The method according to claim 2, characterized in that Based on the water usage data, water continuous storage analysis is performed to obtain storage continuity parameters, including: Collect a set of sample water usage data, and collect a set of sample storage duration parameters according to the storage composition information of water in the water supply storage tank under different sample water usage data; Based on the sample water usage data set and the sample storage duration parameter set, a water storage analyzer is trained to perform water storage duration analysis on the water usage data to obtain storage duration parameters.

4. The method according to claim 1, characterized in that According to the storage duration parameters, the flow filtration disinfection parameters are optimized to obtain stage optimization results, including: Establish filtration and disinfection constraints based on the microbial content and impurity content requirements in domestic water; In order to reduce the content of microorganisms and impurities in water, a disinfection filtration function is constructed to optimize the filtration and disinfection parameters, as shown in the following formula: DFF=w d log 0.2 M+w f log 0.2 P+w Q log 0.2 Q; Among them, DFF is the processing fitness, w d 、w f and w Q are disinfection weight, filtration weight and cost weight respectively, M is the microbial content after disinfection filtration, P is the impurity content after disinfection filtration, and Q is the ratio of the cost of filtration and disinfection parameters to the preset cost; Acquire a filtering and disinfection parameter space, and randomly generate a plurality of first filtering and disinfection parameters in the filtering and disinfection parameter space; According to a plurality of first filtration and disinfection parameters, combined with the storage duration parameter, a disinfection and filtration prediction is performed to obtain a plurality of first microorganism contents and a plurality of first impurity contents. When the filtration and disinfection constraints are met, a plurality of first processing fitnesses are calculated and obtained in combination with a plurality of cost ratios. When the filtration and disinfection constraints are not met, the first filtration and disinfection parameters are regenerated; According to multiple first processing fitnesses, multiple first filtering and disinfection parameters are divided to obtain stage optimized filtering and disinfection parameters and other multiple stage common filtering and disinfection parameters as multiple stage filtering and disinfection parameters, and multiple first processing fitnesses are used as multiple stage processing fitnesses to obtain stage optimization results.

5. The method according to claim 4, characterized in that According to the plurality of first filtration and disinfection parameters, combined with the storage duration parameter, disinfection and filtration prediction is performed, including: According to the water treatment data log of the water supply storage tank, collect the sample storage continuous parameter set, and collect the sample filtration and disinfection parameter set, the sample microbial content information set and the sample impurity content information set; The sample storage duration parameter set, sample filtration and disinfection parameter set, sample microbial content information set and sample impurity content information set are used to train a disinfection filtration predictor, predict the multiple first filtration and disinfection parameters and storage duration parameters, and obtain multiple first microbial contents and multiple first impurity contents.

6. The method according to claim 4, characterized in that Performing dissolved oxygen supplementation analysis in water according to the multiple stage filtration and disinfection parameters, and performing correction calculation on the multiple stage treatment fitness according to the multiple dissolved oxygen supplementation analysis results to obtain multiple corrected fitness, including: According to the multiple stage filtration and disinfection parameters, a prediction analysis of dissolved oxygen replenishment in water is performed to obtain multiple dissolved oxygen replenishment analysis results, wherein a dissolved oxygen replenishment predictor is trained by collecting sample filtration and disinfection parameters, sample storage duration parameters and sample dissolved oxygen replenishment information to perform prediction analysis of dissolved oxygen replenishment in water; According to multiple dissolved oxygen supplementation analysis results and preset dissolved oxygen concentrations, multiple fitness correction coefficients are calculated, and correction calculations are performed on the fitness of multiple stage treatments to obtain multiple corrected fitnesses.

7. The method according to claim 6, based on the multiple modified fitnesses, performing discriminative optimization update on the stage optimization results, comprising: According to multiple modified fitnesses, the phase-optimized filtering and disinfection parameters and the multiple phase-normal filtering and disinfection parameters are judged and updated; Taking the optimized filtering and disinfection parameters of the updated stage as the adjustment direction, adjusting the common filtering and disinfection parameters of multiple updated stages to obtain multiple iterative filtering and disinfection parameters; Process and calculate to obtain multiple iterative processing fitness of multiple iterative filtering and disinfection parameters, regenerate the stage optimization results, and continue to correct and optimize the fitness; Continue to optimize until convergence and obtain the final optimization result.

8. A water supply storage tank, characterized in that: The water supply tank includes a water treatment control system for a domestic water supply tank, and the water treatment control system is used to implement the water treatment control method for a domestic water supply tank according to any one of claims 1 to 7, and the system includes: A water usage data collection module, used to collect water usage data in the water supply storage tank within a preset time range; A storage duration parameter acquisition module, used to perform water storage duration analysis based on the water usage data and obtain storage duration parameters; A stage optimization result acquisition module is used to optimize the flow filtration disinfection parameters according to the storage duration parameters to obtain the stage optimization results, wherein the optimization is performed for the purpose of reducing the content of microorganisms and impurities in the water, and the stage optimization results include multiple stage filtration disinfection parameters and multiple stage processing fitness, and the flow filtration disinfection parameters are used to perform flow filtration disinfection treatment on the water in the water supply storage tank; A modified fitness acquisition module is used to perform dissolved oxygen supplementation analysis in water according to the multiple stage filtration and disinfection parameters, and perform correction calculation on the multiple stage processing fitness according to the multiple dissolved oxygen supplementation analysis results to obtain multiple modified fitness; The control processing module is used to perform discriminative optimization and update on the stage optimization results based on the multiple corrected fitnesses, continue to optimize until convergence, obtain the final optimization result, output the final filtration and disinfection parameters with the largest corrected fitness in the final optimization result, obtain the optimal filtration and disinfection parameters, and control the water in the water supply storage tank.

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