A smart water supply system without negative pressure

Abstract

The present invention discloses a smart water service non-negative pressure water supply system, which belongs to the technical field of non-negative pressure water supply management, and comprises a regional analysis module, an optimization analysis module, a monitoring module and a water supply management module; the regional analysis module is used to analyze the target area and divide the target area into unit areas; obtain unit material data corresponding to each unit area; generate unit material curves; evaluate according to each unit material curve to determine each initial area; merge and analyze each initial area to obtain the merging mode of each initial area; the optimization analysis module is used to optimize and analyze each initial area, determine a target optimization plan, and optimize water supply according to the target optimization plan; the monitoring module is used to perform real-time water supply monitoring on the target area and obtain water supply monitoring data of each unit area; the water supply management module is used to perform water supply management, obtain water consumption forecast data of each unit area, and perform water supply management according to each water consumption forecast data.

Description

Technical Field

[0001] The present invention belongs to the technical field of non-negative pressure water supply management, and specifically is a smart water service non-negative pressure water supply system. Background Art

[0002] With the acceleration of urbanization and the continuous emergence of high-rise buildings, urban water supply systems are facing increasing pressure. Traditional water supply methods often rely on high-level water tanks or water towers for secondary pressurization. This method not only occupies a large area and has high maintenance costs, but also easily causes secondary pollution to water quality. Therefore, the non-negative pressure water supply system came into being as a new water supply method.

[0003] The non-negative pressure water supply system is directly connected to the municipal pipe network, using the pipe network's own pressure to supply water, and supplementing the pressure through the booster pump group when necessary. This system has the advantages of energy saving, environmental protection, and small footprint, so it has been widely used in the field of urban water supply.

[0004] However, although the existing non-negative pressure water supply system can use the pressure of the municipal pipeline network to supply water, its regulation ability is often insufficient when facing pipeline network pressure fluctuations, peak water use periods or sudden water demand. Since the system mainly relies on the pressure of the municipal pipeline network for water supply, when the pipeline network pressure fluctuates greatly or during peak water use periods, the system may not be able to meet the water needs of all users in a timely manner, resulting in unstable water pressure or insufficient water for some users.

[0005] Based on this, in order to solve the above problems, the present invention provides a smart water supply system without negative pressure. Summary of the invention

[0006] In order to solve the problems existing in the above-mentioned solutions, the present invention provides a smart water supply system without negative pressure.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] A smart water service non-negative pressure water supply system, comprising a regional analysis module, an optimization analysis module, a monitoring module and a water supply management module;

[0009] The regional analysis module is used to analyze the target area, obtain the historical water supply data of the target area, and mark it as regional material data; divide the target area according to the preset unit area definition to obtain each unit area; divide the regional material data according to each unit area to obtain the unit material data corresponding to each unit area;

[0010] Identify and analyze the material data of each unit to obtain the incompatible time periods and the corresponding shortfall values ​​of each time period;

[0011] Generate a unit material curve based on the non-matching time period and the shortfall value corresponding to the unit area, with the horizontal axis being time and the vertical axis being the shortfall value;

[0012] Evaluate the material curves of each unit and determine the initial areas;

[0013] A merging analysis is performed on each of the initial regions to obtain a merging method for each of the initial regions.

[0014] Furthermore, the method for identifying and analyzing each unit material data includes:

[0015] Set the water supply standard for each unit area, and establish a unit verification model based on the corresponding water supply standard. The expression of the unit verification model is: ;

[0016] Where: s is the input data, the input data is the unit material data; the output data is the material verification value DP(s);

[0017] Analyze the unit material data through the unit verification model to obtain the material verification value corresponding to each time;

[0018] Generate a material verification curve according to the verification value of each material, the horizontal axis of the material verification curve is time, and the vertical axis is the material verification value;

[0019] Mark the time period corresponding to the curve segment with a material verification value of 1 in the material verification curve as an inconsistent time period;

[0020] Calculate the corresponding shortfall value based on the material data of each unit corresponding to the inconsistent time period.

[0021] Furthermore, the method of evaluating according to each unit material curve includes:

[0022] Fit the unit material curve to obtain the unit material curve function, and mark the unit material curve function as DH (t), where t is time; according to the formula Calculate the corresponding unit material value;

[0023] Where: PA is the unit material value;

[0024] Each unit area whose unit material value is greater than the threshold value X1 is marked as an initial area.

[0025] Furthermore, the method for merging and analyzing the initial regions is as follows:

[0026] Conduct a merger assessment on each initial region to determine whether the initial regions meet the merger requirements, and classify the initial regions that meet the merger requirements into one category, which is marked as a merger category;

[0027] Arbitrarily combine the initial regions in the merged classification to obtain several candidate combinations; evaluate each candidate combination, and mark the candidate combinations that meet the evaluation criteria as merged modes for output.

[0028] The optimization analysis module is used to optimize and analyze each initial region, identify each merging method, and form each initial combination scheme according to each merging method;

[0029] According to each initial combination scheme, each candidate optimization scheme is set, each candidate optimization scheme is evaluated, a target optimization scheme is determined, and water supply optimization is performed according to the target optimization scheme.

[0030] Furthermore, the method for evaluating each candidate optimization scheme includes:

[0031] Verification data is set according to the historical water supply records of the target area, and the verification data includes front-end data and back-end data;

[0032] Optimize and verify each candidate optimization scheme through the front-end data in the verification data to obtain the corresponding verification results; compare the verification results with the back-end data in the verification data to determine the water supply increase value corresponding to each initial area;

[0033] Estimate the optimization cost corresponding to each candidate optimization solution;

[0034] According to the formula Calculate the corresponding optimization value;

[0035] Where: PB is the optimized value; TYi is the water supply increase value of the corresponding initial area; i represents the corresponding initial area, i=1, 2, ..., n, n is a positive integer; μi is the weight coefficient of the corresponding initial area, and the value range is (0, 1]; CB is the optimization cost;

[0036] Sort the candidate optimization schemes in descending order according to the optimization value, and send the candidate optimization schemes with the highest W in the sorting to the management personnel, where W is a positive integer; the management personnel determine the target optimization scheme based on the candidate optimization schemes sent.

[0037] The monitoring module is used to perform real-time water supply monitoring on the target area and obtain water supply monitoring data of each unit area; establish a water supply monitoring model, and input the water supply monitoring data of each unit area into the water supply monitoring model for display.

[0038] The water supply management module is used to perform water supply management, establish a water use prediction model, obtain water supply condition data of each unit area in real time, analyze the water supply condition data of each unit area through the water use prediction model, obtain water use prediction data of each unit area, and integrate the water use prediction data of each unit area into regional water use prediction data; perform water supply management according to the regional water use prediction data.

[0039] Furthermore, it also includes a redundancy module, which is used to perform redundancy management, simulate the failure of each water supply equipment, obtain the impact value corresponding to each unit area, and obtain the failure probability of the water supply equipment;

[0040] The redundancy value of the corresponding water supply equipment is calculated according to the impact value of each unit area and the failure probability of the water supply equipment; the water supply equipment with a redundancy value greater than a threshold value X2 is marked as a redundant adjustment equipment; and redundancy adjustment is performed according to each redundant adjustment equipment.

[0041] Furthermore, the calculation method of the redundancy value includes:

[0042] According to the formula Calculate the corresponding redundancy value;

[0043] Where: KY is the redundancy value; e is the natural constant; σ is the failure probability; bj is the proportional coefficient of the corresponding unit area, and its value range is (0, 1], j represents the corresponding unit area, j = 1, 2, ..., m, m is a positive integer; YPj is the impact value of the corresponding unit area.

[0044] Compared with the prior art, the present invention has the following beneficial effects:

[0045] Through the mutual cooperation among the regional analysis module, optimization analysis module, monitoring module and water supply management module, intelligent management and optimized management of water supply can be realized; it has strong adaptability and can be applied to water supply scenarios of different scales and types, whether it is high-rise buildings, residential communities or enterprises and institutions, its water supply needs can be met through customized solutions. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings 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 paying creative work.

[0047] Figure 1 This is a principle block diagram of the present invention. DETAILED DESCRIPTION

[0048] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0049] As Figure 1 As shown, a smart water supply system without negative pressure includes a regional analysis module, an optimization analysis module, a monitoring module, a water supply management module and a redundancy module;

[0050] The regional analysis module is used to analyze the target area, which is the area that needs water supply management; obtain the historical water supply data of the target area and mark it as regional material data; define the unit area, which is the smallest area that can be divided, and the smallest area is the area corresponding to the whole of the community, shopping mall, hospital, office building, etc.; divide the target area according to the unit area definition to obtain each unit area; divide the regional material data according to each unit area to obtain the unit material data corresponding to each unit area;

[0051] Identify each unit material data, identify each time period when the water use of the unit area does not meet the use requirements and the corresponding shortage value of each time in the corresponding time period; that is, determine the time periods when the water supply of the unit area cannot meet the water use demand of the unit area according to the unit material data, form corresponding time periods, and mark the corresponding time periods as non-compliant time periods for distinction; then compare the corresponding unit material data with the normal water use demand to determine the lack of water supply and mark it as the shortage value; specifically, set corresponding water supply standards for various types of unit areas according to water supply management regulations and requirements, such as what level of water supply is considered to be unable to meet the water use demand of the unit area; subsequently check the unit material data according to the water supply standards, determine the non-compliant unit material data, and identify the corresponding time;

[0052] Generate a unit material curve according to the non-matching time period and the shortage value corresponding to the unit area, where the horizontal axis is the time corresponding to the non-matching time period, and the horizontal axis is set in time order; the vertical axis is the corresponding shortage value; fit the unit material curve to obtain the unit material curve function, and mark the unit material curve function as DH(t), where t is time;

[0053] According to the formula Calculate the corresponding unit material value;

[0054] Where: PA is the unit material value;

[0055] Each unit area with a unit material value greater than the threshold X1 is marked as an initial area; the initial area is the unit area that needs to be adjusted and optimized for water supply; that is, the threshold X1 is set according to the cumulative shortage requirements, relevant regulations, etc., and it can also be analyzed based on the historical shortage situation of each area, and a standard can be selected as the requirement for subsequent water supply adjustments, and then the corresponding unit material value can be determined as the threshold X1.

[0056] A merging analysis is performed on each initial region to obtain a merging method for each initial region.

[0057] In one embodiment, the method for identifying and analyzing each unit material data includes:

[0058] Set the water supply standard for each unit area, and establish a unit verification model based on the water supply standard. The unit verification model is used to analyze the corresponding unit material data to determine whether it meets the water supply standard. The expression of the unit verification model is: ; In the formula: s is the input data, the input data is the unit material data; the output data is the material verification value DP(s);

[0059] The unit material data is analyzed through the unit verification model to obtain the material verification value corresponding to each time; a material verification curve is generated according to each material verification value, where the horizontal axis of the material verification curve is time and the vertical axis is the material verification value;

[0060] Mark the time period corresponding to the curve segment with a material verification value of 1 in the material verification curve as an inconsistent time period;

[0061] The corresponding shortage value is calculated based on the material data of each unit corresponding to the inconsistent time period; in the case of multiple shortage values ​​at the same time, a representative value can be determined by using the average value, mode, maximum value, etc.

[0062] In one embodiment, the method for merging the initial regions is: merging by existing methods such as manual merging, and the optimized region is composed of corresponding unit regions for unified adjustment during subsequent optimization and adjustment.

[0063] In one embodiment, the method for merging and analyzing the initial regions is:

[0064] Determine whether the initial areas can be merged according to the connection of the water supply pipelines corresponding to each initial area. The prerequisite for merging is that a certain optimization device can be set up to make unified adjustments, such as a small water storage tank, a buffer water tank, a booster pump group, etc.; the specific determination is based on the optional or available optimization equipment; determine whether each initial area can be merged with other initial areas, and classify the initial areas that can be merged into one category, marked as merged category;

[0065] Arbitrarily combine the initial areas in the merged classification to obtain several candidate combinations. For example, if the merged classification is (A, B, C), A, B, C are the corresponding initial combinations, and there are A, B, C, AB, AC, BC, ABC candidate combinations, which are determined using existing mathematical combination methods, such as enumeration method, that is, combinations can be formed separately; each candidate combination is evaluated to determine whether it exceeds the optimization adjustment upper limit, and the adjustment upper limit is determined based on the optimization equipment and the shortage value, that is, it is necessary to ensure that there is at least one optimization adjustment method that can enable the candidate combination to meet the water supply standard; the qualified candidate combination is marked as a merge method for output.

[0066] The optimization analysis module is used to optimize and analyze each initial region, identify each merging method, and form each initial combination scheme according to each merging method. The initial combination scheme is a scheme formed by the combination of each merging method; each initial combination scheme is a combination of each merging method, and the combination includes all the initial regions, and the initial regions are not repeated; for example, A, B, C, AB, AC, BC, ABC are the candidate combinations, and the initial combination scheme can be A, B, C or AB, C or ABC or A, BC, etc.;

[0067] Set up each candidate optimization scheme according to each initial combination scheme, that is, determine the optional optimization equipment and optimization method for each merging method in the initial combination scheme, match them according to the alternative optimization equipment, optimization method, etc., and generate multiple candidate optimization schemes according to the possibility, that is, one initial combination scheme may correspond to multiple candidate optimization schemes; that is, the management party will pre-set the optimization equipment, optimization method, etc. that can be adopted.

[0068] Verification data is set according to the historical water supply records of the target area, that is, representative data is set as verification data according to the historical water supply records, and each candidate optimization scheme is simulated and verified to simulate the water supply situation after the candidate optimization scheme is applied; the verification data includes front-end data and back-end data, the front-end data is the conditional data of water supply, such as time, temperature, pressure and other related data; the back-end data is the water supply result data under the front-end data;

[0069] Through the front-end data in the verification data, each candidate optimization scheme is optimized and verified to obtain the corresponding verification result, that is, the operation simulation is performed according to the optimization method corresponding to the candidate optimization scheme to determine the water supply result, which is marked as the verification result; the verification result is compared with the back-end data in the verification data to determine the water supply improvement value corresponding to each initial area, that is, the water supply satisfaction rate of the initial area according to the back-end data is compared with the water supply satisfaction rate of the verification result to determine the improved satisfaction rate, which is marked as the water supply improvement value;

[0070] Estimate the cost of implementing each candidate optimization solution, marked as optimization cost;

[0071] According to the formula Calculate the corresponding optimization value;

[0072] Where: PB is the optimization value; TYi is the water supply increase value of the corresponding initial area; i represents the corresponding initial area, i=1, 2, ..., n, n is a positive integer; μi is the weight coefficient of the corresponding initial area, which is set according to the type and scale of the unit area. If the management personnel do not set it, it is calculated as 1; CB is the optimization cost;

[0073] Sort the candidate optimization schemes in descending order according to the optimization value, and send the top W candidate optimization schemes to the management personnel, where W is a positive integer, such as 5, 6, 7, etc. The management personnel determine the target optimization scheme based on the sent candidate optimization schemes, including selection, expert demonstration and adjustment, etc.

[0074] Optimize water supply according to the target optimization plan.

[0075] The monitoring module is used to perform real-time water supply monitoring of the target area and obtain water supply monitoring data of each unit area; establish a water supply monitoring model based on existing visualization technology to display the water supply monitoring data in a preset display mode; input the water supply monitoring data of each unit area into the water supply monitoring model for display.

[0076] The water supply management module is used to perform water supply management, establish a water use prediction model based on historical water use data and existing prediction technology, and predict the water use of each unit area in the future, and obtain the water supply condition data of each unit area in real time, that is, collect the front-end data in the above-mentioned verification data, analyze the water supply condition data of each unit area through the water use prediction model, obtain the water use prediction data of each unit area, and integrate the water use prediction data of each unit area into the regional water use prediction data;

[0077] Carry out water supply management based on regional water consumption forecast data, such as pre-storage, water transfer, pressure boosting, pressure reduction, etc.; carry out water supply management based on target optimization plan and in accordance with existing management measures.

[0078] The redundant module is used for redundant management, such as parallel connection of multiple pump groups, standby pump groups and other redundant settings, so that when some equipment fails, the system can continue to operate stably to ensure the continuity and safety of water supply; fault simulation is performed on each unit area, that is, the impact of each water supply equipment failure on each unit area is simulated, and the added shortage value of each unit area is expressed and marked as the impact value; and the failure probability of the corresponding water supply equipment is determined according to the historical relevant data; corresponding estimates can be made in combination with historical water supply data to achieve corresponding simulations; simulations can also be performed based on other existing technologies;

[0079] Calculate the redundancy value of the corresponding water supply equipment according to the impact value of each unit area and the failure probability of the water supply equipment;

[0080] The calculation formula is: ;

[0081] Where: KY is the redundancy value; e is the natural constant; σ is the failure probability; bj is the proportional coefficient of the corresponding unit area, and its value range is (0, 1]. It is mainly set according to the type of unit area. If the management personnel does not set it, it is calculated as 1; j represents the corresponding unit area, j = 1, 2, ..., m, where m is a positive integer; YPj is the impact value of the corresponding unit area.

[0082] Mark the water supply equipment with a redundancy value greater than a threshold value X2 as a redundant adjustment equipment;

[0083] Redundancy adjustment is performed according to the adjustment target, such as adjustment by adding, parallel connection, etc., so that the adjusted redundancy value is not greater than the threshold value X2; the existing technology is used to perform redundancy adjustment; illustratively, the threshold value X2 is set according to the identification of the redundant adjustment equipment, and the redundancy value in various situations in reality can be calculated according to the redundant value formula. According to the redundant management requirements and user needs, several water supply equipment are designated as redundant adjustment equipment, and their corresponding redundancy values ​​are identified. The redundant values ​​are summarized to form a representative limited redundancy value as the threshold value X2, such as the average value, the mode, etc., and subsequent verification simulation is performed until the user requirements are met.

[0084] The above formulas are all calculated by removing dimensions and taking numerical values. The formula is a formula that is closest to the actual situation obtained by collecting a large amount of data and performing software simulation. The preset parameters and preset thresholds in the formula are set by technical personnel in this field according to actual conditions or obtained by simulating a large amount of data.

[0085] The above embodiments are only used to illustrate the technical method 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 the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A smart water supply system without negative pressure, characterized in that: It includes regional analysis module, optimization analysis module, monitoring module and water supply management module; The regional analysis module is used to analyze the target area, obtain the historical water supply data of the target area, and mark it as regional material data; divide the target area according to the preset unit area definition to obtain each unit area; divide the regional material data according to each unit area to obtain the unit material data corresponding to each unit area; Identify and analyze the material data of each unit to obtain the incompatible time periods and the corresponding shortfall values ​​of each time period; Generate a unit material curve based on the non-matching time period and the shortfall value corresponding to the unit area, with the horizontal axis being time and the vertical axis being the shortfall value; Evaluate the material curves of each unit and determine the initial areas; Performing a merging analysis on each of the initial regions to obtain a merging method for each of the initial regions; The optimization analysis module is used to optimize and analyze each initial region, identify each merging method, and form each initial combination scheme according to each merging method; Set each candidate optimization scheme according to each initial combination scheme, evaluate each candidate optimization scheme, determine the target optimization scheme, and optimize the water supply according to the target optimization scheme; The monitoring module is used to perform real-time water supply monitoring on the target area and obtain water supply monitoring data of each unit area; establish a water supply monitoring model, and input the water supply monitoring data of each unit area into the water supply monitoring model for display; The water supply management module is used to perform water supply management, establish a water use prediction model, obtain water supply condition data of each unit area in real time, analyze the water supply condition data of each unit area through the water use prediction model, obtain water use prediction data of each unit area, and integrate the water use prediction data of each unit area into regional water use prediction data; Manage water supply based on regional water use forecast data; Methods for evaluating based on the material curves of each unit include: Fitting the unit material curve to obtain the unit material curve function, marking the unit material curve function as DH(t), where t is time; According to the formula Calculate the corresponding unit material value; Where: PA is the unit material value; Mark each unit area whose unit material value is greater than the threshold value X1 as the initial area; Methods for evaluating each candidate optimization solution include: Verification data is set according to the historical water supply records of the target area, and the verification data includes front-end data and back-end data; Optimize and verify each candidate optimization scheme through the front-end data in the verification data to obtain the corresponding verification results; compare the water supply satisfaction rate of the initial area based on the back-end data with the water supply satisfaction rate of the verification result to determine the improved water supply satisfaction rate, which is marked as the water supply improvement value; Estimate the optimization cost corresponding to each candidate optimization solution; According to the formula Calculate the corresponding optimization value; Where: PB is the optimized value; TYi is the water supply increase value of the corresponding initial area; i represents the corresponding initial area, i = 1, 2, ..., n, n is a positive integer; μi is the weight coefficient of the corresponding initial area, and the value range is (0, 1]; CB is the optimization cost; Sort the candidate optimization schemes in descending order according to the optimization value, and send the candidate optimization schemes with the highest W in the sorting to the management personnel, where W is a positive integer; the management personnel determine the target optimization scheme based on the candidate optimization schemes sent.

2. According to claim 1, a smart water supply system without negative pressure is characterized in that: The method for identifying and analyzing the material data of each unit includes: Set the water supply standard for each unit area, and establish a unit verification model based on the corresponding water supply standard. The expression of the unit verification model is: Where: s is the input data, the input data is the unit material data; the output data is the material verification value DP(s); Analyze the unit material data through the unit verification model to obtain the material verification value corresponding to each time; Generate a material verification curve according to the verification value of each material, the horizontal axis of the material verification curve is time, and the vertical axis is the material verification value; Mark the time period corresponding to the curve segment with a material verification value of 1 in the material verification curve as an inconsistent time period; Calculate the corresponding shortfall value based on the material data of each unit corresponding to the inconsistent time period.

3. The smart water supply system without negative pressure according to claim 1 is characterized in that: The method for merging and analyzing the initial regions is as follows: Conduct a merger assessment on each initial region to determine whether the initial regions meet the merger requirements, and classify the initial regions that meet the merger requirements into one category, which is marked as a merger category; Arbitrarily combine the initial regions in the merged classification to obtain several candidate combinations; evaluate each candidate combination, and mark the candidate combinations that meet the evaluation criteria as merged modes for output.

4. The smart water supply system without negative pressure according to claim 1 is characterized in that: It also includes a redundancy module, which is used to perform redundancy management, simulate failures in each unit area, simulate the increased shortfall value in the unit area when each water supply device fails, and mark it as an impact value; and count the corresponding failure probability according to the historical data of each water supply device; The redundancy value of the corresponding water supply equipment is calculated according to the impact value of each unit area and the failure probability of the water supply equipment; the water supply equipment with a redundancy value greater than a threshold value X2 is marked as a redundant adjustment equipment; and redundancy adjustment is performed according to each redundant adjustment equipment.

5. The smart water supply system without negative pressure according to claim 4 is characterized in that: The calculation method of the redundancy value includes: According to the formula Calculate the corresponding redundancy value; Where: KY is the redundancy value; e is the natural constant; σ is the failure probability; bj is the proportional coefficient of the corresponding unit area, and its value range is (0, 1], j represents the corresponding unit area, j = 1, 2, ..., m, m is a positive integer; YPj is the impact value of the corresponding unit area.

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