A method and system for generating a water supply strategy for a residential area water tank

Abstract

The present invention discloses a method and system for generating a water supply strategy for a water tank in a residential area, and relates to the technical field of water supply management for residents. Specifically, the present invention discloses that original data of water pressure sensing devices at nodes at different positions are collected to obtain an original water pressure change performance model that can reflect the water pressure change characteristics; timeline segments that meet the criticality standard are screened, and the corresponding original model segments are intercepted and combined into an original model segment group; the water tank variable frequency pump driving strategy corresponding to the original model segment group is adjusted; the real-time water pressure change of the water tank variable frequency pump is monitored in real time, and the original model segment group integration library is used for accurate adaptation and comparison, and the corresponding corrected water tank variable frequency pump driving strategy is selected for adjustment. The above technical scheme of the present invention realizes the optimized control of the water tank variable frequency pump and improves the stability of the water supply for residents.

Description

Technical Field

[0001] The present invention relates to the technical field of residential water supply management, and in particular to a method and system for generating a water supply strategy for a residential water tank. Background Art

[0002] In the water tank water supply system in residential areas, a long-standing technical challenge is the fluctuation of water pressure when residents use water in a concentrated manner. Due to the irregularity and concentration of residents' water use behavior, especially during peak hours in the morning and evening, water consumption will increase sharply, causing the water supply system to face huge pressure changes. This rapid pressure change will not only affect the stability of water supply, causing water pressure to fluctuate, but may also damage water supply pipes and water tank equipment, shortening their service life.

[0003] In addition, traditional water supply strategies are often unable to effectively cope with the pressure fluctuations caused by centralized water use, resulting in low water supply efficiency and poor water use experience for residents. Therefore, a method and system for generating a water supply strategy for residential water tanks is needed that can monitor water pressure changes in real time, effectively cope with pressure fluctuations caused by centralized water use by residents, and optimize water supply strategies. Summary of the invention

[0004] The purpose of the present invention is to provide a method and system for generating a water tank water supply strategy that can effectively alleviate the water pressure fluctuation problem caused by the centralized water use of residents.

[0005] The present invention discloses a method for generating a water supply strategy for a residential area water tank, comprising:

[0006] Obtaining the original water pressure change data of the water pressure sensing devices at different nodes in the residential area, and performing feature conversion on each original water pressure change data to obtain the original water pressure change representation model;

[0007] According to the unified characteristic performance of several original water pressure change performance models, the preset timeline is critically divided to obtain several timeline segments, the timeline segments that meet the preset criticality standards are screened out and recorded as key timeline segments, and the original model segments corresponding to the original water pressure change performance models corresponding to the key timeline segments are intercepted, and the intercepted original model segments are combined into original model segment groups;

[0008] The water tank variable frequency pump driving strategy corresponding to the original model section group is adjusted to obtain the adjusted water tank variable frequency pump driving strategy. During the adjustment process, the original model section group is corrected synchronously and proportionally based on the adjustment methods at different time nodes to obtain the adjusted model section group;

[0009] Performing feature dimensionality reduction on the original model segments in the original model segment group to obtain a number of original feature factors, recording the combination of the original feature factors as an original feature factor group, and integrating a number of original model segment groups to obtain an original model segment group integration library;

[0010] The real-time water pressure change data of the water tank variable frequency pump is feature converted to obtain a real-time water pressure change performance model, and different original characteristic factor groups are used to monitor the real-time water pressure change performance model. If the real-time water pressure change performance model conforms to the original characteristic factors, the corresponding original model segment group in the original model segment group integration library is used to accurately adapt and compare the real-time water pressure change performance model. If the degree of adaptation meets the preset standard, the corresponding revised water tank variable frequency pump drive strategy is selected to adjust the water tank variable frequency pump.

[0011] In some embodiments disclosed in the present invention, a method for performing feature conversion on each raw water pressure change data to obtain a raw water pressure change representation model includes:

[0012] Establish a time horizontal axis, and establish a water pressure vertical axis perpendicular to the time horizontal axis to form a water pressure change expression template, and based on the water pressure values ​​expressed by the water pressure change data at different time nodes, construct a number of water pressure mapping points on the water pressure change expression template, and perform linear fitting on the water pressure mapping points to obtain a single original water pressure change performance curve;

[0013] Aligning the single original water pressure change performance curves corresponding to different original water pressure change data in parallel at preset intervals to obtain an original water pressure change performance model;

[0014] Each original water pressure change performance curve is scanned and analyzed, and the time node where the curve fluctuation is greater than or equal to the preset value is recorded as the curve fluctuation focus node. If the curve fluctuation focus node greater than or equal to the preset value appears continuously within the first preset time period, or the time period when the continuous curve fluctuation is greater than or equal to the preset value is greater than or equal to the second preset time period, the corresponding curve segment will be marked and recorded as the pressure fluctuation curve segment.

[0015] In some embodiments disclosed in the present invention, for the unified characteristic expression of several original water pressure change expression models, a method for critically dividing a preset timeline includes:

[0016] A unified reference timeline is established for each original water pressure change performance model, and each original water pressure change performance model is scanned and analyzed. The analysis method includes determining the pressure fluctuation curve segments that exist simultaneously in the same time period. If the number of the determined pressure fluctuation curve segments is greater than or equal to a preset value, the segments corresponding to the timeline are critically divided to obtain the timeline segments;

[0017] Performing statistics on the fluctuation values ​​of the same time nodes for several pressure fluctuation curve segments corresponding to the timeline segment to obtain the sum of the fluctuation values, and performing continuity analysis on the sum of the fluctuation values ​​of each same time node to obtain the continuity result, and determining the criticality of the timeline segment based on the statistical results and the continuity results;

[0018] The expression for calculating the criticality of a timeline segment is:

[0019] ;

[0020] in, is the value corresponding to the criticality, is the criticality conversion coefficient, is the fluctuation value multiplier adjustment coefficient, For the The absolute value of the sum of fluctuation values ​​at equal time nodes, is the total number of nodes at the same time, Adjust the constant for the fluctuation value, It is the continuity judgment function of the fluctuation value statistical results corresponding to all equivalent time nodes. If the sum of the fluctuation values ​​of the equivalent time nodes is greater than or equal to the preset value, the equivalent time node is defined as a fluctuation time node. Based on the number of consecutive fluctuation time nodes, Outputs the preset criticality correction factor.

[0021] In some embodiments disclosed in the present invention, the method for adjusting the water tank variable frequency pump driving strategy corresponding to the original model section group includes:

[0022] Based on each original model segment in the original model segment group, find a corresponding pressure fluctuation curve segment in the corresponding original water pressure change performance curve;

[0023] Perform pressure synchronous change analysis on the pressure fluctuation curve sections belonging to the same original model section group. If the pressure fluctuations are all decreasing or increasing at the same time, it is determined that the water supply pipeline is normal. Otherwise, an abnormal alarm is issued for the water supply pipeline.

[0024] When the water supply pipeline is deemed to be normal, the power adjustment coefficient of the water tank variable frequency pump is determined based on the pressure fluctuation ratio of each pressure fluctuation curve section and the pipeline flow corresponding to the pressure fluctuation curve section;

[0025] Based on the product of the original driving power of the water tank variable frequency pump and the power adjustment coefficient, the adjusted driving power of the water tank variable frequency pump is determined, and the driving strategy of the water tank variable frequency pump is updated.

[0026] In some embodiments disclosed in the present invention, the method for determining the power adjustment coefficient of the water tank variable frequency pump includes:

[0027] Determine the water pressure sensing device corresponding to the pressure fluctuation curve section where the pressure fluctuation ratio is greater than or equal to the preset value, and record it as the concerned water pressure sensing device;

[0028] Obtaining the pipeline design information of the residential area, and based on the pipeline design information of the residential area, determining the pipeline corresponding to the location of the water pressure sensing device of interest, and the standard flow rate of each pipeline;

[0029] Based on the pressure fluctuation ratio of each pressure fluctuation curve section and the corresponding standard flow rate of the pipeline, the product of the two is calculated to obtain the relative pressure change parameter of a single pipeline block;

[0030] Based on the combined performance of the relative pressure change parameters of each pipeline block, the corresponding power adjustment coefficient is found in the preset relative pressure change parameter~power adjustment coefficient table.

[0031] In some embodiments disclosed in the present invention, a method for performing feature dimensionality reduction on an original model segment in an original model segment group includes:

[0032] Analyzing the fluctuation characteristics of the corresponding pressure fluctuation curve segments in the original model segment group to determine a primary original characteristic factor, the primary original characteristic factor including the curve segment marked as the pressure fluctuation curve segment;

[0033] Analyze the pressure fluctuation curve segment to determine the secondary original characteristic factor, the secondary original characteristic factor includes the time length corresponding to the pressure fluctuation curve segment and the average pressure fluctuation value of the pressure fluctuation curve segment;

[0034] The combination of the pressure fluctuation curve segment, the time length corresponding to the pressure fluctuation curve segment, and the average pressure fluctuation value of the pressure fluctuation curve segment is recorded as an original characteristic factor group.

[0035] In some embodiments disclosed in the present invention, the method for monitoring the real-time water pressure change performance model using different original characteristic factor groups includes:

[0036] Perform real-time feature dimension reduction on the real-time water pressure change performance model to obtain a real-time feature factor group, and compare the real-time feature factor group with different original feature factor groups in real time. If the first-level original feature factor and the first-level real-time feature factor are completely consistent, then continue to compare the second-level original feature factor and the second-level real-time feature factor. If the difference between the second-level original feature factor and the second-level real-time feature factor is within a preset range, it is determined that the real-time water pressure change performance model is consistent with the corresponding original feature factor group;

[0037] The identified matching original feature factor groups are recorded as label feature factor groups, and the corresponding original model segment groups are screened out in the original model segment group integration library.

[0038] In some embodiments disclosed in the present invention, the method of accurately matching the original model segment group with the real-time water pressure change representation model includes:

[0039] Analyze the real-time water pressure change performance model, determine the real-time model segment group, and compare the real-time model segment group with the original model segment group, the comparison method includes relatively shifting the corresponding real-time pressure fluctuation curve segment and the original pressure fluctuation curve segment several times;

[0040] Determine the real-time vertical mapping area of ​​the real-time pressure fluctuation curve segment relative to the time horizontal axis, determine the original vertical mapping area of ​​the original pressure fluctuation curve segment relative to the time horizontal axis, calculate the longitudinal overlap area of ​​the real-time pressure fluctuation curve segment and the original pressure fluctuation curve segment after each relative shift, and respectively calculate a first area ratio of the longitudinal overlap area to the real-time vertical mapping area, and a second area ratio of the longitudinal overlap area to the original vertical mapping area;

[0041] The sum of the area ratios of the first area ratio and the second area ratio is calculated, and the magnitude of the sum of the area ratios is determined as the degree of adaptation.

[0042] In some embodiments disclosed in the present invention, there is also disclosed a residential area water tank water supply strategy generation system, comprising:

[0043] The first module is used to obtain the original water pressure change data of the water pressure sensor devices at different location nodes in the residential area, and perform feature conversion on each original water pressure change data to obtain the original water pressure change performance model;

[0044] The second module is used to perform critical division on the preset timeline according to the unified characteristic expression of several original water pressure change expression models, obtain several timeline segments, screen out the timeline segments that meet the preset criticality standards, record them as key timeline segments, and intercept the original model segments corresponding to the original water pressure change expression models corresponding to the key timeline segments, and combine the intercepted original model segments into original model segment groups;

[0045] The third module is used to adjust the water tank variable frequency pump driving strategy corresponding to the original model section group to obtain the adjusted water tank variable frequency pump driving strategy. During the adjustment process, the original model section group is synchronously corrected in the same proportion based on the adjustment methods at different time nodes to obtain the adjusted model section group;

[0046] The fourth module is used to perform feature dimensionality reduction on the original model segments in the original model segment group to obtain several original feature factors, record the combination of the original feature factors as the original feature factor group, integrate several original model segment groups to obtain the original model segment group integration library, perform feature conversion on the real-time water pressure change data of the water tank variable frequency pump to obtain the real-time water pressure change performance model, and use different original feature factor groups to monitor the real-time water pressure change performance model. If the real-time water pressure change performance model meets the original feature factors, the corresponding original model segment group in the original model segment group integration library is used to accurately adapt and compare the real-time water pressure change performance model. If the degree of adaptation meets the preset standard, the corresponding revised water tank variable frequency pump drive strategy is selected to adjust the water tank variable frequency pump.

[0047] The present invention discloses a method and system for generating a water supply strategy for a water tank in a residential area, and relates to the technical field of water supply management for residents. Specifically, the present invention discloses that original data of water pressure sensing devices at nodes at different positions are collected to obtain an original water pressure change performance model that can reflect the water pressure change characteristics; timeline segments that meet the criticality standard are screened, and the corresponding original model segments are intercepted and combined into an original model segment group; the water tank variable frequency pump driving strategy corresponding to the original model segment group is adjusted; the real-time water pressure change of the water tank variable frequency pump is monitored in real time, and the original model segment group integration library is used for accurate adaptation and comparison, and the corresponding corrected water tank variable frequency pump driving strategy is selected for adjustment. The above technical scheme of the present invention realizes the optimized control of the water tank variable frequency pump and improves the stability of the water supply for residents.

[0048] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 A method step diagram of a residential area water tank strategy generation method disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0050] The technical solution of the present invention is further described below through the accompanying drawings and embodiments.

[0051] The following will be combined with the accompanying drawings and specific embodiments to clearly and completely describe the technical solution of the present invention. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention and cannot be understood as limiting the scope of protection of the present invention. Those skilled in the art in this field can make some non-essential improvements and adjustments based on the content of the present invention described below. In the present invention, unless otherwise clearly specified and limited, the technical terms used in the present invention should be the common meanings understood by the technical personnel described in the present invention.

[0052] Example

[0053] The purpose of the present invention is to provide a method and system for generating a water tank water supply strategy that can effectively alleviate the water pressure fluctuation problem caused by the centralized water use of residents.

[0054] The present invention discloses a method for generating a water supply strategy for a residential area water tank, comprising:

[0055] Step S100, obtaining the original water pressure change data of the water pressure sensor devices at different location nodes in the residential area, and performing feature conversion on each original water pressure change data to obtain an original water pressure change representation model.

[0056] This step is the data collection and preprocessing stage. The original water pressure change data is obtained from the water pressure sensing devices at different nodes in the residential area. These data are real-time and continuous, reflecting the actual water pressure conditions of the water supply system during operation. In order to facilitate subsequent analysis and processing, each original water pressure change data is feature-converted and converted into an original water pressure change performance model that can more intuitively and accurately reflect the characteristics of water pressure changes. In this way, more in-depth analysis and mining can be carried out based on these models.

[0057] Water pressure data is obtained from various water pressure sensing devices in residential areas on a regular or real-time basis through a preset interface or protocol. These data are usually expressed in digital form and may contain timestamps. The program then processes these raw data, such as cleaning, denoising, and normalization, to eliminate errors and outliers. Then, the program uses algorithms to convert these processed data into models that can reflect the characteristics of water pressure changes, such as time series models or statistical models. These models can more intuitively show the changing trends and characteristics of water pressure.

[0058] In some embodiments disclosed in the present invention, a method for performing feature conversion on each raw water pressure change data to obtain a raw water pressure change representation model includes:

[0059] Step S101, establish a time horizontal axis, and establish a water pressure vertical axis perpendicular to the time horizontal axis to form a water pressure change expression template, and based on the water pressure values ​​expressed by the water pressure change data at different time nodes, construct a number of water pressure mapping points on the water pressure change expression template, and perform linear fitting on the water pressure mapping points to obtain a single original water pressure change expression curve.

[0060] Step S102 , aligning the single original water pressure change performance curves corresponding to different original water pressure change data in parallel at preset intervals to obtain an original water pressure change performance model.

[0061] Step S103, scan and analyze each original water pressure change performance curve, and record the time node where the curve fluctuation is greater than or equal to the preset value as the curve fluctuation focus node. If the curve fluctuation focus node greater than or equal to the preset value appears continuously within the first preset time period, or the time period when the continuous curve fluctuation is greater than or equal to the preset value is greater than or equal to the second preset time period, the corresponding curve segment will be marked and recorded as the pressure fluctuation curve segment.

[0062] Step S200, for the unified characteristic expression of several original water pressure change expression models, the preset timeline is critically divided to obtain several timeline segments, the timeline segments that meet the preset criticality standards are screened out and recorded as key timeline segments, and the original model segments corresponding to the original water pressure change expression models corresponding to the key timeline segments are intercepted, and the intercepted original model segments are combined into original model segment groups.

[0063] At this step, we enter the data analysis stage. Based on the unified characteristic performance of several original water pressure change performance models, the preset timeline is critically divided. The purpose of this is to identify the critical time periods of water pressure changes, that is, those time periods with large water pressure fluctuations and greater impact on water supply stability. By dividing the timeline, we can get several timeline segments, and filter out the timeline segments that meet the preset criticality standards and record them as critical timeline segments. Then, the original model segments corresponding to the original water pressure change performance models corresponding to these critical timeline segments are intercepted, and the intercepted original model segments are combined into original model segment groups. In this way, we get a model group containing critical water pressure change information, which provides a basis for subsequent strategy adjustments.

[0064] The timeline is divided into several time segments according to preset rules or algorithms. These rules can be based on factors such as timestamps, the magnitude or frequency of water pressure changes, etc. Next, the program selects the key timeline segments that meet the criteria based on preset criticality standards, such as thresholds or frequencies of water pressure changes. These segments are considered to be important periods of water pressure changes and have a significant impact on water supply stability. Finally, the program intercepts the original model segments corresponding to these key timeline segments and combines them into a new data set, the original model segment group, for subsequent analysis and processing.

[0065] In some embodiments disclosed in the present invention, for the unified characteristic expression of several original water pressure change expression models, a method for critically dividing a preset timeline includes:

[0066] Step S201, a unified reference timeline is established for each original water pressure change performance model, and each original water pressure change performance model is scanned and analyzed. The analysis method includes determining the pressure fluctuation curve segments that exist simultaneously in the same time period. If the number of determined pressure fluctuation curve segments is greater than or equal to a preset value, the segments corresponding to the timeline are critically divided to obtain timeline segments.

[0067] Step S202, performing fluctuation value statistics of equivalent time nodes for several pressure fluctuation curve segments corresponding to the timeline segment to obtain the sum of fluctuation values, and performing continuity analysis on the sum of fluctuation values ​​of each equivalent time node to obtain continuity results, and determining the criticality of the timeline segment based on the statistical results and the continuity results.

[0068] The expression for calculating the criticality of a timeline segment is:

[0069] .

[0070] in, is the value corresponding to the criticality, is the criticality conversion coefficient, is the fluctuation value multiplier adjustment coefficient, For the The absolute value of the sum of fluctuation values ​​at equal time nodes, is the total number of nodes at the same time, Adjust the constant for the fluctuation value, It is the continuity judgment function of the fluctuation value statistical results corresponding to all equivalent time nodes. If the sum of the fluctuation values ​​of the equivalent time nodes is greater than or equal to the preset value, the equivalent time node is defined as a fluctuation time node. Based on the number of consecutive fluctuation time nodes, Outputs the preset criticality correction factor.

[0071] Step S300, adjust the water tank variable frequency pump driving strategy corresponding to the original model section group to obtain the adjusted water tank variable frequency pump driving strategy. During the adjustment process, based on the adjustment method at different time nodes, the original model section group is synchronously and proportionally corrected to obtain the adjusted model section group.

[0072] This step is the strategy adjustment stage. The water tank variable frequency pump drive strategy corresponding to the original model section group is adjusted to obtain the adjusted water tank variable frequency pump drive strategy. During the adjustment process, the water pressure change characteristics at different time nodes are considered, and the original model section group is synchronously corrected in the same proportion to obtain the adjusted model section group. In this way, an optimized drive strategy that can adapt to water pressure changes in different time periods is obtained.

[0073] Based on the analysis results of the original model segment group, the drive strategy of the water tank variable frequency pump is adjusted. This may involve changing parameters such as the pump speed, switching time or working mode to optimize the water supply effect. During the adjustment process, the program will consider the water pressure change characteristics at different time nodes and make synchronous and proportional corrections to the original model segment group. This means that the program will make corresponding adjustments to the model segment according to the water pressure change pattern at the time node to ensure the consistency of the adjusted strategy with the original data. The corrected model segment group will be used for subsequent real-time monitoring and precise adaptation.

[0074] In some embodiments disclosed in the present invention, the method for adjusting the water tank variable frequency pump driving strategy corresponding to the original model section group includes:

[0075] Step S301 : based on each original model segment in the original model segment group, find a corresponding pressure fluctuation curve segment in the corresponding original water pressure change performance curve.

[0076] Step S302, analyzing the synchronous pressure changes of the pressure fluctuation curve sections belonging to the same original model section group. If the pressure fluctuations decrease or increase at the same time, it is determined that the water supply pipeline is normal. Otherwise, an abnormal alarm is issued for the water supply pipeline.

[0077] Step S303, when it is determined that the water supply pipeline is normal, the power adjustment coefficient of the water tank variable frequency pump is determined based on the pressure fluctuation ratio of each pressure fluctuation curve segment and the pipeline flow corresponding to the pressure fluctuation curve segment.

[0078] Step S304: determining the adjusted driving power of the water tank variable frequency pump based on the product of the original driving power of the water tank variable frequency pump and the power adjustment coefficient, and updating the driving strategy of the water tank variable frequency pump.

[0079] In some embodiments disclosed in the present invention, the method for determining the power adjustment coefficient of the water tank variable frequency pump includes:

[0080] Step S3031, determining the water pressure sensing device corresponding to the pressure fluctuation curve section with a pressure fluctuation ratio greater than or equal to a preset value, and recording it as the concerned water pressure sensing device.

[0081] Step S3032, obtaining the residential area pipeline design information, and based on the residential area pipeline design information, determining the pipeline corresponding to the location of the water pressure sensor device of interest, and the standard flow of each pipeline.

[0082] Step S3033, based on the pressure fluctuation ratio of each pressure fluctuation curve section and the standard flow rate of the corresponding pipeline, the product of the two is calculated to obtain the relative pressure change parameter of the single pipeline block.

[0083] Step S3034, based on the combined performance of the relative pressure change parameters of each pipeline block, find the corresponding power adjustment coefficient in the preset relative pressure change parameter~power adjustment coefficient table.

[0084] Step S400, performing feature dimensionality reduction on the original model segments in the original model segment group to obtain a number of original feature factors, recording the combination of the original feature factors as an original feature factor group, and integrating a number of original model segment groups to obtain an original model segment group integration library.

[0085] In this step, feature dimension reduction and integrated library construction were performed. The original model segments in the original model segment group were subjected to feature dimension reduction to obtain several original feature factors. These original feature factors are key information reflecting the characteristics of water pressure changes. Then, the combination of these original feature factors is recorded as the original feature factor group, and several original model segment groups are integrated to obtain the original model segment group integrated library. This integrated library contains rich water pressure change information and corresponding model segments, which provides a basis for subsequent real-time monitoring and precise adaptation.

[0086] The models in the original model segment group are processed by feature dimensionality reduction to extract the characteristic factors that are most critical to the adjustment of water supply strategy. Representative features are extracted from the original model. Then, the program combines these characteristic factors into a new data set, namely the original characteristic factor group, for subsequent real-time monitoring and precise adaptation. At the same time, the program also integrates several original model segment groups to build an integrated library containing rich water pressure change information and corresponding models. This integrated library will serve as a reference data set for subsequent adaptation and comparison.

[0087] In some embodiments disclosed in the present invention, a method for performing feature dimensionality reduction on an original model segment in an original model segment group includes:

[0088] Step S401 , analyzing the fluctuation characteristics of the corresponding pressure fluctuation curve segments in the original model segment group, and determining a primary original characteristic factor, wherein the primary original characteristic factor includes a curve segment marked as a pressure fluctuation curve segment.

[0089] Step S402, analyzing the pressure fluctuation curve segment to determine the secondary original characteristic factor, the secondary original characteristic factor includes the time length corresponding to the pressure fluctuation curve segment and the average pressure fluctuation value of the pressure fluctuation curve segment.

[0090] Step S403: Record the combination of the pressure fluctuation curve segment, the time length corresponding to the pressure fluctuation curve segment, and the average pressure fluctuation value of the pressure fluctuation curve segment as an original characteristic factor group.

[0091] Step S500, perform feature conversion on the real-time water pressure change data of the water tank variable frequency pump to obtain a real-time water pressure change performance model, and use different original feature factor groups to monitor the real-time water pressure change performance model. If the real-time water pressure change performance model meets the original feature factors, the corresponding original model segment group in the original model segment group integration library is used to accurately adapt and compare the real-time water pressure change performance model. If the degree of adaptation meets the preset standard, the corresponding revised water tank variable frequency pump drive strategy is selected to adjust the water tank variable frequency pump.

[0092] This step is the real-time monitoring and strategy adjustment stage. The real-time water pressure change data of the water tank variable frequency pump is transformed into a real-time water pressure change performance model. Then, the real-time water pressure change performance model is monitored using different original characteristic factor groups. If the real-time water pressure change performance model is consistent with the original characteristic factors, it means that the current water pressure change is similar to a previous key time period. At this point, the corresponding original model segment group in the original model segment group integration library can be used to accurately adapt and compare the real-time water pressure change performance model. If the degree of adaptation meets the preset standard, it means that a model group that matches the current water pressure change has been found. At this point, the corresponding corrected water tank variable frequency pump drive strategy can be selected to adjust the water tank variable frequency pump to ensure the stability and reliability of water supply.

[0093] The real-time water pressure change data of the water tank variable frequency pump is monitored in real time, and converted into a real-time water pressure change performance model through feature conversion. Then, the program uses the original feature factor group to monitor the real-time water pressure change performance model to detect whether it conforms to the known feature pattern. This usually involves the use of machine learning algorithms or pattern matching techniques. If the real-time water pressure change conforms to a certain original feature factor group, the program will use the corresponding original model segment group in the original model segment group integration library for precise adaptation and comparison. This involves calculating the similarity or matching degree between the real-time model and the model in the integration library. If the degree of adaptation meets the preset standard, the program will select the corresponding modified water tank variable frequency pump drive strategy to adjust the water tank variable frequency pump to ensure the stability and reliability of water supply.

[0094] In some embodiments disclosed in the present invention, the method for monitoring the real-time water pressure change performance model using different original characteristic factor groups includes:

[0095] Step S501, performing real-time feature dimension reduction on the real-time water pressure change performance model to obtain a real-time feature factor group, and comparing the real-time feature factor group with different original feature factor groups in real time. If the first-level original feature factor and the first-level real-time feature factor are completely consistent, then continue to compare the second-level original feature factor and the second-level real-time feature factor. If the difference between the second-level original feature factor and the second-level real-time feature factor is within a preset range, it is determined that the real-time water pressure change performance model is consistent with the corresponding original feature factor group;

[0096] Step S502: record the identified matching original feature factor groups as label feature factor groups, and select the corresponding original model segment groups from the original model segment group integration library.

[0097] In some embodiments disclosed in the present invention, the method of accurately matching the original model segment group with the real-time water pressure change representation model includes:

[0098] Step S503, analyzing the real-time water pressure variation performance model, determining the real-time model segment group, and comparing the real-time model segment group with the original model segment group. The comparison method includes relatively shifting the corresponding real-time pressure fluctuation curve segment and the original pressure fluctuation curve segment several times.

[0099] Step S504, determine the real-time vertical mapping area of ​​the real-time pressure fluctuation curve segment relative to the time horizontal axis, determine the original vertical mapping area of ​​the original pressure fluctuation curve segment relative to the time horizontal axis, calculate the longitudinal overlapping area of ​​the real-time pressure fluctuation curve segment and the original pressure fluctuation curve segment after each relative shift, and respectively calculate the first area ratio of the longitudinal overlapping area to the real-time vertical mapping area, and the second area ratio of the longitudinal overlapping area to the original vertical mapping area.

[0100] Step S505: Calculate the sum of the first area ratio and the second area ratio, and determine the size of the sum of the area ratios as the degree of adaptation.

[0101] In some embodiments disclosed in the present invention, there is also disclosed a residential area water tank water supply strategy generation system, comprising:

[0102] The first module is used to obtain the original water pressure change data of the water pressure sensor devices at different location nodes in the residential area, and perform feature conversion on each original water pressure change data to obtain the original water pressure change representation model.

[0103] The second module is used to perform critical division on the preset timeline according to the unified characteristic expression of several original water pressure change expression models, obtain several timeline segments, screen out the timeline segments that meet the preset criticality standards and record them as critical timeline segments, and intercept the original model segments corresponding to the original water pressure change expression models corresponding to the critical timeline segments, and combine the intercepted original model segments into original model segment groups.

[0104] The third module is used to adjust the water tank variable frequency pump driving strategy corresponding to the original model section group to obtain the adjusted water tank variable frequency pump driving strategy. During the adjustment process, the original model section group is synchronously and proportionally corrected based on the adjustment method at different time nodes to obtain the adjusted model section group.

[0105] The fourth module is used to perform feature dimensionality reduction on the original model segments in the original model segment group to obtain several original feature factors, record the combination of the original feature factors as the original feature factor group, integrate several original model segment groups to obtain the original model segment group integration library, perform feature conversion on the real-time water pressure change data of the water tank variable frequency pump to obtain the real-time water pressure change performance model, and use different original feature factor groups to monitor the real-time water pressure change performance model. If the real-time water pressure change performance model meets the original feature factors, the corresponding original model segment group in the original model segment group integration library is used to accurately adapt and compare the real-time water pressure change performance model. If the degree of adaptation meets the preset standard, the corresponding revised water tank variable frequency pump drive strategy is selected to adjust the water tank variable frequency pump.

[0106] The present invention discloses a method and system for generating a water supply strategy for a water tank in a residential area, and relates to the technical field of water supply management for residents. Specifically, the present invention discloses that original data of water pressure sensing devices at nodes at different positions are collected to obtain an original water pressure change performance model that can reflect the water pressure change characteristics; timeline segments that meet the criticality standard are screened, and the corresponding original model segments are intercepted and combined into an original model segment group; the water tank variable frequency pump driving strategy corresponding to the original model segment group is adjusted; the real-time water pressure change of the water tank variable frequency pump is monitored in real time, and the original model segment group integration library is used for accurate adaptation and comparison, and the corresponding corrected water tank variable frequency pump driving strategy is selected for adjustment. The above technical scheme of the present invention realizes the optimized control of the water tank variable frequency pump and improves the stability of the water supply for residents.

[0107] Through the description of the above implementation methods, those skilled in the art can clearly understand that the present invention can be implemented by hardware, or by software plus a necessary general hardware platform. Based on such an understanding, the technical solution of the present invention can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.), including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each implementation scenario of the present invention.

[0108] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that they can still modify or replace the technical solution of the present invention with equivalents, and these modifications or equivalent replacements cannot cause the modified technical solution to deviate from the spirit and scope of the technical solution of the present invention.

Claims

1. A method for generating a water supply strategy for a residential area water tank, characterized in that: include: Obtaining the original water pressure change data of the water pressure sensing devices at different nodes in the residential area, and performing feature conversion on each original water pressure change data to obtain the original water pressure change representation model; According to the unified characteristic performance of several original water pressure change performance models, the preset timeline is critically divided to obtain several timeline segments, the timeline segments that meet the preset criticality standards are screened out and recorded as key timeline segments, and the original model segments corresponding to the original water pressure change performance models corresponding to the key timeline segments are intercepted, and the intercepted original model segments are combined into original model segment groups; The water tank variable frequency pump driving strategy corresponding to the original model section group is adjusted to obtain the adjusted water tank variable frequency pump driving strategy. During the adjustment process, the original model section group is corrected synchronously and proportionally based on the adjustment methods at different time nodes to obtain the adjusted model section group; Performing feature dimensionality reduction on the original model segments in the original model segment group to obtain a number of original feature factors, recording the combination of the original feature factors as an original feature factor group, and integrating a number of original model segment groups to obtain an original model segment group integration library; The real-time water pressure change data of the water tank variable frequency pump is feature converted to obtain a real-time water pressure change performance model, and different original feature factor groups are used to monitor the real-time water pressure change performance model. If the real-time water pressure change performance model conforms to the original feature factors, the corresponding original model segment group in the original model segment group integration library is used to accurately adapt and compare the real-time water pressure change performance model. If the degree of adaptation meets the preset standard, the corresponding revised water tank variable frequency pump drive strategy is selected to adjust the water tank variable frequency pump.

2. A method for generating a water supply strategy for a residential area water tank according to claim 1, characterized in that: The method of performing feature conversion on each raw water pressure change data to obtain the raw water pressure change representation model includes: Establish a time horizontal axis, and establish a water pressure vertical axis perpendicular to the time horizontal axis to form a water pressure change expression template, and based on the water pressure values ​​expressed by the water pressure change data at different time nodes, construct a number of water pressure mapping points on the water pressure change expression template, and perform linear fitting on the water pressure mapping points to obtain a single original water pressure change performance curve; Aligning the single original water pressure change performance curves corresponding to different original water pressure change data in parallel at preset intervals to obtain an original water pressure change performance model; Each original water pressure change performance curve is scanned and analyzed, and the time node where the curve fluctuation is greater than or equal to the preset value is recorded as the curve fluctuation focus node. If the curve fluctuation focus node greater than or equal to the preset value appears continuously within the first preset time period, or the time period when the continuous curve fluctuation is greater than or equal to the preset value is greater than or equal to the second preset time period, the corresponding curve segment will be marked and recorded as the pressure fluctuation curve segment.

3. A method for generating a water supply strategy for a residential area water tank according to claim 2, characterized in that: For the unified characteristic expression of several original water pressure change expression models, the method of critical division of the preset timeline includes: A unified reference timeline is established for each original water pressure change performance model, and each original water pressure change performance model is scanned and analyzed. The analysis method includes determining the pressure fluctuation curve segments that exist simultaneously in the same time period. If the number of the determined pressure fluctuation curve segments is greater than or equal to a preset value, the segments corresponding to the timeline are critically divided to obtain the timeline segments; Performing statistics on the fluctuation values ​​of the same time nodes for several pressure fluctuation curve segments corresponding to the timeline segment to obtain the sum of the fluctuation values, and performing continuity analysis on the sum of the fluctuation values ​​of each same time node to obtain the continuity result, and determining the criticality of the timeline segment based on the statistical results and the continuity results; The expression for calculating the criticality of a timeline segment is: ； in, is the value corresponding to the criticality, is the criticality conversion coefficient, is the fluctuation value multiplier adjustment coefficient, For the The absolute value of the sum of fluctuation values ​​at equal time nodes, is the total number of nodes at the same time, Adjust the constant for the fluctuation value, It is the continuity judgment function of the fluctuation value statistical results corresponding to all equivalent time nodes. If the sum of the fluctuation values ​​of the equivalent time nodes is greater than or equal to the preset value, the equivalent time node is defined as a fluctuation time node. Based on the number of consecutive fluctuation time nodes, Outputs the preset criticality correction factor.

4. A method for generating a water supply strategy for a residential area water tank according to claim 2, characterized in that: The method for adjusting the water tank variable frequency pump driving strategy corresponding to the original model section group includes: Based on each original model segment in the original model segment group, find a corresponding pressure fluctuation curve segment in the corresponding original water pressure change performance curve; Perform pressure synchronous change analysis on the pressure fluctuation curve sections belonging to the same original model section group. If the pressure fluctuations are all decreasing or increasing at the same time, it is determined that the water supply pipeline is normal. Otherwise, an abnormal alarm is issued for the water supply pipeline. When the water supply pipeline is deemed to be normal, the power adjustment coefficient of the water tank variable frequency pump is determined based on the pressure fluctuation ratio of each pressure fluctuation curve section and the pipeline flow corresponding to the pressure fluctuation curve section; Based on the product of the original driving power of the water tank variable frequency pump and the power adjustment coefficient, the adjusted driving power of the water tank variable frequency pump is determined, and the driving strategy of the water tank variable frequency pump is updated.

5. A method for generating a water supply strategy for a residential area water tank according to claim 4, characterized in that: Methods for determining the power adjustment factor for the water tank variable frequency pump include: Determine the water pressure sensing device corresponding to the pressure fluctuation curve section where the pressure fluctuation ratio is greater than or equal to the preset value, and record it as the concerned water pressure sensing device; Obtaining the pipeline design information of the residential area, and based on the pipeline design information of the residential area, determining the pipeline corresponding to the location of the water pressure sensing device of interest, and the standard flow rate of each pipeline; Based on the pressure fluctuation ratio of each pressure fluctuation curve section and the corresponding standard flow rate of the pipeline, the product of the two is calculated to obtain the relative pressure change parameter of a single pipeline block; Based on the combined performance of the relative pressure change parameters of each pipeline block, the corresponding power adjustment coefficient is found in the preset relative pressure change parameter~power adjustment coefficient table.

6. A method for generating a water supply strategy for a residential area water tank according to claim 4, characterized in that: The method for performing feature dimension reduction on the original model segments in the original model segment group includes: Analyzing the fluctuation characteristics of the corresponding pressure fluctuation curve segments in the original model segment group to determine a primary original characteristic factor, the primary original characteristic factor including the curve segment marked as the pressure fluctuation curve segment; Analyze the pressure fluctuation curve segment to determine the secondary original characteristic factor, the secondary original characteristic factor includes the time length corresponding to the pressure fluctuation curve segment and the average pressure fluctuation value of the pressure fluctuation curve segment; The combination of the pressure fluctuation curve segment, the time length corresponding to the pressure fluctuation curve segment, and the average pressure fluctuation value of the pressure fluctuation curve segment is recorded as an original characteristic factor group.

7. A method for generating a water supply strategy for a residential area water tank according to claim 6, characterized in that: Methods for monitoring the real-time water pressure change performance model using different original characteristic factor groups include: Perform real-time feature dimension reduction on the real-time water pressure change performance model to obtain a real-time feature factor group, and compare the real-time feature factor group with different original feature factor groups in real time. If the first-level original feature factor and the first-level real-time feature factor are completely consistent, then continue to compare the second-level original feature factor and the second-level real-time feature factor. If the difference between the second-level original feature factor and the second-level real-time feature factor is within a preset range, it is determined that the real-time water pressure change performance model is consistent with the corresponding original feature factor group; The identified matching original feature factor groups are recorded as label feature factor groups, and the corresponding original model segment groups are screened out in the original model segment group integration library.

8. A method for generating a water supply strategy for a residential area water tank according to claim 4, characterized in that: The method of accurately matching the original model segment group with the real-time water pressure change representation model includes: Analyze the real-time water pressure change performance model, determine the real-time model segment group, and compare the real-time model segment group with the original model segment group, the comparison method includes relatively shifting the corresponding real-time pressure fluctuation curve segment and the original pressure fluctuation curve segment several times; Determine the real-time vertical mapping area of ​​the real-time pressure fluctuation curve segment relative to the time horizontal axis, determine the original vertical mapping area of ​​the original pressure fluctuation curve segment relative to the time horizontal axis, calculate the longitudinal overlap area of ​​the real-time pressure fluctuation curve segment and the original pressure fluctuation curve segment after each relative shift, and respectively calculate a first area ratio of the longitudinal overlap area to the real-time vertical mapping area, and a second area ratio of the longitudinal overlap area to the original vertical mapping area; The sum of the area ratios of the first area ratio and the second area ratio is calculated, and the magnitude of the sum of the area ratios is determined as the degree of adaptation.

9. A residential area water tank water supply strategy generation system, characterized in that: include: The first module is used to obtain the original water pressure change data of the water pressure sensor devices at different location nodes in the residential area, and perform feature conversion on each original water pressure change data to obtain the original water pressure change performance model; The second module is used to perform critical division on the preset timeline according to the unified characteristic expression of several original water pressure change expression models, obtain several timeline segments, screen out the timeline segments that meet the preset criticality standards, record them as key timeline segments, and intercept the original model segments corresponding to the original water pressure change expression models corresponding to the key timeline segments, and combine the intercepted original model segments into original model segment groups; The third module is used to adjust the water tank variable frequency pump driving strategy corresponding to the original model section group to obtain the adjusted water tank variable frequency pump driving strategy. During the adjustment process, the original model section group is synchronously corrected in the same proportion based on the adjustment methods at different time nodes to obtain the adjusted model section group; The fourth module is used to perform feature dimensionality reduction on the original model segments in the original model segment group to obtain several original feature factors, record the combination of the original feature factors as the original feature factor group, integrate several original model segment groups to obtain the original model segment group integration library, perform feature conversion on the real-time water pressure change data of the water tank variable frequency pump to obtain the real-time water pressure change performance model, and use different original feature factor groups to monitor the real-time water pressure change performance model. If the real-time water pressure change performance model meets the original feature factors, the corresponding original model segment group in the original model segment group integration library is used to accurately adapt and compare the real-time water pressure change performance model. If the degree of adaptation meets the preset standard, the corresponding revised water tank variable frequency pump drive strategy is selected to adjust the water tank variable frequency pump.

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