Factory water pressure control method system and medium for multi-pump combined water supply

Abstract

The present invention discloses a method system and medium for regulating and controlling the water pressure at a factory for multi-pump combined water supply, and relates to the technical field of water pressure regulation. A water demand model of a target water supply area is established based on hydraulic distribution data, and an optimal pressure interval model of the target water supply area is constructed according to pressure monitoring data. The factory water pressure of the target water supply area is reversely calculated according to the water demand model and the optimal pressure interval model. The optimal operating frequency of each pump is calculated with the factory water pressure as the target and the optimal efficiency of the multi-pump combination as a constraint condition. This scheme improves the method on the basis of traditional water pressure regulation technology, utilizes the pressure and hydraulic distribution data of the terminal node, simulates the water use characteristics of the water supply area, and constructs the optimal pressure interval model of the target water supply area according to the pressure monitoring data, thereby reducing the energy consumption of the water supply pump room, making the water pump always operate in the optimal efficiency interval, reducing the power consumption of the pump station operation, and reducing the cost of tap water supply.

Description

Technical Field

[0001] The present invention relates to the technical field of water pressure regulation, and in particular to a method system and medium for regulating water pressure at a factory for multi-pump combined water supply. Background Art

[0002] The urban water supply network and hilly irrigation system are equipped with a large number of booster pump stations, and the power consumption of water pumps accounts for about 50% to 80% of the overall water supply system. The water delivery pump is used to pressurize the clean water in the water storage tank to the urban water supply network, so that it can reach thousands of households at a certain pressure to meet the water needs of residents;

[0003] At present, water plants reduce energy consumption in water pump rooms mainly through the following two methods: using energy-saving devices at the power configuration end to reduce power loss in the transmission and distribution link; using more efficient water pumps and motors to reduce power loss in the constant pressure water delivery link.

[0004] Both of the above energy-saving methods can effectively reduce energy consumption, but due to the constraints of the theoretical upper limit, the efficiency improvement is small, generally within 20%. At present, there are few methods to reduce energy consumption by optimizing the pump room control system, and all of them are simple water pump operation scheduling and variable frequency constant pressure water delivery. Summary of the invention

[0005] The technical problem to be solved by the present invention is: in the traditional water supply mode, although the pump can meet the water supply demand, it cannot maximize the efficiency of the pump, resulting in waste of resources, especially under low flow and excess flow conditions, the decrease in water pump efficiency further increases the waste of resources; the purpose of the present invention is to provide a factory water pressure control method system and medium for multi-pump combined water supply, to improve the method on the basis of traditional water pressure control technology, to use the pressure and hydraulic distribution data of the terminal node to simulate the water use characteristics of the water supply area, and to construct an optimal pressure range model for the target water supply area according to the pressure monitoring data, to reduce the energy consumption of the water supply pump room, to make the water pump always operate in the optimal efficiency range, to reduce the operating power consumption of the pump station, and to reduce the cost of tap water supply.

[0006] The present invention is achieved through the following technical solutions:

[0007] This solution provides a factory water pressure control method for multi-pump combined water supply, including:

[0008] Obtain multiple terminal nodes in the target water supply area, and obtain pressure monitoring data and hydraulic distribution data of each terminal node;

[0009] Establish a water demand model for the target water supply area based on hydraulic distribution data, and construct an optimal pressure range model for the target water supply area based on pressure monitoring data;

[0010] Reversely calculate the outgoing water pressure of the target water supply area based on the water demand model and the optimal pressure range model;

[0011] Taking the factory water pressure as the target and the optimal efficiency of the multi-pump combination as the constraint condition, the optimal operating frequency of each pump is calculated;

[0012] Adjust each pump to the corresponding optimal operating frequency.

[0013] Working principle of this scheme: Under the traditional water supply mode, although the pump can meet the water supply demand, it cannot maximize the efficiency of the pump, resulting in waste of resources, especially under low flow and excess flow conditions, the decrease in water pump efficiency further increases resource waste; the purpose of the present invention is to provide a factory water pressure control method system and medium for multi-pump combined water supply, and to improve the method on the basis of traditional water pressure control technology, and use the pressure and hydraulic distribution data of the terminal node to simulate the water use characteristics of the water supply area, and construct the optimal pressure range model of the target water supply area according to the pressure monitoring data, so as to reduce the energy consumption of the water supply pump room, make the water pump always operate in the optimal efficiency range, reduce the operating power consumption of the pump station, and reduce the cost of tap water supply.

[0014] A further optimization scheme is that the method of obtaining multiple terminal nodes in the target water supply area and obtaining pressure monitoring data and hydraulic distribution data of each terminal node includes:

[0015] Obtain the pipe network topology of the target water supply area;

[0016] Set the pipe diameter threshold to filter out some topologies in the pipe network topology whose pipe diameter is greater than or equal to the pipe diameter threshold;

[0017] Determine terminal nodes from the partial topology, the terminal nodes including water-using terminal nodes and pipeline nodes; collect hydraulic distribution data of the terminal nodes; and collect pressure data and flow data of the terminal nodes and pipeline nodes.

[0018] A further optimization scheme is to establish a water demand model for the target water supply area based on hydraulic distribution data, and to construct an optimal pressure interval model for the target water supply area based on pressure monitoring data; including methods:

[0019] Divide each terminal node and pipeline node into water use type areas; the water use type areas include: industrial water use areas, commercial water use areas and residential water use areas;

[0020] According to different water use types and areas, a water demand time series model of the target water supply area is constructed based on hydraulic distribution data, and the water demand time series model is calibrated;

[0021] According to different water use areas, the optimal pressure range model of the target water supply area is constructed based on pressure monitoring data.

[0022] A further optimization scheme is to construct a water demand time series model for the target water supply area based on hydraulic distribution data according to different water use type areas, and calibrate the water demand time series model; including methods:

[0023] Obtain all water use type areas in the target water supply area, and estimate the water use value of the target water supply area; the water use estimate value includes comprehensive domestic water use and industrial enterprise water use;

[0024] Based on the estimated water consumption, a daily variation model of the target water supply area is established as a water demand time series model;

[0025] According to the characteristics of each water-using area, the water flow in each water-using area is subjected to noise reduction and difference processing to correct the water demand time series model.

[0026] A further optimization scheme is that the comprehensive domestic water consumption is calculated according to the following formula:

[0027] Q1= q1*N*f;

[0028] N=N0(1+a)n;

[0029] Q1 represents the comprehensive domestic water consumption in the target water supply area; q1 represents the maximum daily comprehensive water quota in the target water supply area within n years; N represents the planned permanent population in the target water supply area within n years; N0 represents the population of the target water supply area in that year; a represents the natural population growth rate in the target water supply area; f represents the tap water penetration rate;

[0030] The water consumption of industrial enterprises is calculated according to the following formula:

[0031] Q2= Q2a+Q2b;

[0032] Q2a=q2a*N2a+q2b*N2b;

[0033] Q2b=q 2b *B(1-u);

[0034] Among them, Q2a represents the domestic water consumption of industrial enterprises; Q2b represents the industrial production water consumption; q2a represents the living water quota of employees; N2a represents the total number of employees using living water; q2b represents the employee shower water quota; N2b represents the total number of employees using shower water; q 2b represents the water volume per 10,000 yuan of industrial output value; u represents the reuse rate of production water; B represents the total industrial output value of the region on the highest day.

[0035] A further optimization scheme is to construct an optimal pressure interval model for the target water supply area based on pressure monitoring data according to different water use type areas, including the following methods:

[0036] Draw the pressure curve and water demand curve of each terminal node, and select the terminal nodes to be optimized according to the pressure fluctuation conditions based on the random forest regression model;

[0037] A correlation analysis is performed on the pressure and water demand of the terminal node to be optimized, and the minimum pressure requirement of the current terminal node to be optimized is used as the standard, and the pressure of the current terminal node to be optimized is adjusted according to the correlation analysis results.

[0038] A further optimization scheme is that the method for determining the minimum pressure requirement of the terminal node to be optimized currently includes:

[0039] For the terminal nodes in the industrial water use area, the minimum pressure requirements include ensuring that the water supply pressure remains stable within the threshold range;

[0040] For terminal nodes in commercial water use areas, the minimum pressure requirements include meeting daytime water pressure;

[0041] For terminal nodes in residential water use areas, the minimum pressure requirement includes the pressure to meet peak water use.

[0042] A further optimization scheme is to calculate the optimal operating frequency of each pump with the factory water pressure as the target and the optimal efficiency of the multi-pump combination as the constraint condition; including the method:

[0043] Get the efficiency parameters of all water pumps;

[0044] The multi-pump combination calculation equation is constructed based on the efficiency parameters of all water pumps and the factory water pressure:

[0045] Q 总 = q1+ q2+ q3+···+ q k ;

[0046] P 总 = p1+ p2+ p3+···+ p k ;

[0047] E 总 = e1+ e2+ e3+···+e k ;

[0048] Among them, Q 总 Indicates the total flow rate out of the factory; q k represents the water supply of the kth water pump; P 总 Indicates factory water pressure; p k represents the water supply of the kth water pump; E 总 Indicates total power consumption; e k represents the power consumption of the kth water pump;

[0049] Based on fuzzy-genetic algorithm calculation, configure the total factory flow Q 总 And the total power consumption E 总 When they are fixed values, the total power consumption E 总 Minimum water supply of each pump.

[0050] This solution also provides a factory water pressure control system for multi-pump combined water supply, which is used to implement the above-mentioned factory water pressure control method for multi-pump combined water supply; the system includes:

[0051] The acquisition module is used to obtain multiple terminal nodes in the target water supply area and obtain the pressure monitoring data and hydraulic distribution data of each terminal node;

[0052] A model building module is used to establish a water demand model for a target water supply area based on hydraulic distribution data, and to build an optimal pressure range model for the target water supply area based on pressure monitoring data;

[0053] The first calculation module is used to reversely calculate the factory water pressure of the target water supply area according to the water demand model and the optimal pressure range model;

[0054] The second calculation module is used to calculate the optimal operating frequency of each pump with the factory water pressure as the target and the optimal efficiency of the multi-pump combination as the constraint condition;

[0055] The regulating module is used to regulate each pump to the corresponding optimal operating frequency.

[0056] The present solution also provides a computer-readable medium on which a computer program is stored. The computer program is executed by a processor to implement the factory water pressure control method for multi-pump combined water supply as described above.

[0057] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0058] The factory water pressure control method system and medium for multi-pump combined water supply provided by the present invention make methodological improvements on the basis of traditional water pressure control technology, utilize the pressure and hydraulic distribution data of the terminal node to simulate the water use characteristics of the water supply area, and construct an optimal pressure range model for the target water supply area based on the pressure monitoring data, thereby reducing the energy consumption of the water delivery pump room, allowing the water pump to always operate in the optimal efficiency range, reducing the operating power consumption of the pump station, and reducing the cost of tap water supply. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] In order to more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments. It should be understood that the following drawings only illustrate certain embodiments of the present invention and should not be regarded as limiting the scope. For those of ordinary skill in the art, other relevant drawings can be obtained based on these drawings without creative work. In the drawings:

[0060] Figure 1 The figure is a flow chart of the factory water pressure control method for multi-pump combined water supply. DETAILED DESCRIPTION

[0061] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with embodiments and drawings. The exemplary embodiments of the present invention and their description are only used to explain the present invention and are not intended to limit the present invention.

[0062] In the traditional water supply mode, although the pump can meet the water supply demand, it cannot maximize the efficiency of the pump, resulting in waste of resources, especially under low flow and excess flow conditions, the decrease in water pump efficiency further increases resource waste; in view of this, the present solution provides the following embodiments to solve the above technical problems.

[0063] Embodiment 1: This embodiment provides a method for regulating the factory water pressure for multi-pump combined water supply, such as Figure 1 As shown, including:

[0064] Step 1: Obtain multiple terminal nodes in the target water supply area, and obtain pressure monitoring data and hydraulic distribution data of each terminal node; this step specifically includes the following methods:

[0065] S11, obtaining the pipe network topology of the target water supply area;

[0066] S12, setting a pipe diameter threshold, and screening out some topologies in the pipe network topology whose pipe diameter is greater than or equal to the pipe diameter threshold;

[0067] The pipe diameter threshold is set to DN100, which is the water demand of the largest pipe diameter node where the total flow meter is last installed. Branch pipes smaller than this diameter are considered to be household pipes and are no longer subdivided and counted.

[0068] S13, determining terminal nodes from the partial topology, the terminal nodes including water-using terminal nodes and pipeline nodes; collecting hydraulic distribution data of the terminal nodes; collecting pressure data and flow data of the terminal nodes and pipeline nodes.

[0069] Specifically, basic data such as the water pump curve, pipeline start and end nodes, and pipeline length corresponding to each terminal node are collected, and the basic data are input into the hydraulic calculation model to calculate the hydraulic distribution data of each terminal node; the pressure data and flow data of the terminal nodes and pipeline nodes can be obtained from the pressure testing station.

[0070] Step 2: Establish a water demand model for the target water supply area based on hydraulic distribution data, and construct an optimal pressure range model for the target water supply area based on pressure monitoring data; this step specifically includes the following methods:

[0071] S21, dividing each terminal node and pipeline node into water use type areas; the water use type areas include: industrial water use areas, commercial water use areas and residential water use areas;

[0072] S22, according to different water use type areas, build a water demand time series model for the target water supply area based on hydraulic distribution data, and calibrate the water demand time series model; the water demand of different terminal nodes in the target water supply area is different. For example, for residential water terminal nodes, there will be morning peak, noon peak and evening peak. For office water terminal nodes, there may be almost no water use at night. For factory water terminal nodes with a high degree of unmanned operation, the water demand at each moment is almost unchanged. In this way, a curve of water demand changing with time will be formed for each water terminal node;

[0073] This step specifically includes the following methods:

[0074] S221, obtaining all water use type areas in the target water supply area, and estimating the water use estimated value of the target water supply area; the water use estimated value includes comprehensive domestic water use and industrial enterprise water use; the comprehensive domestic water use is calculated according to the following formula:

[0075] Q1=q1*N*f;

[0076] N=N0(1+a)n;

[0077] Q1 represents the comprehensive domestic water consumption in the target water supply area; q1 represents the maximum daily comprehensive water quota in the target water supply area within n years; N represents the planned permanent population in the target water supply area within n years; N0 represents the population of the target water supply area in that year; a represents the natural population growth rate in the target water supply area; f represents the tap water penetration rate;

[0078] The water consumption of industrial enterprises is calculated according to the following formula:

[0079] Q2=Q2a+Q2b;

[0080] Q2a=q2a*N2a+q2b*N2b;

[0081] Q2b=q2b *B(1-u);

[0082] Among them, Q2a represents the domestic water consumption of industrial enterprises; Q2b represents the industrial production water consumption; q2a represents the living water quota of employees; N2a represents the total number of employees using living water; q2b represents the employee shower water quota; N2b represents the total number of employees using shower water; q 2b represents the water volume per 10,000 yuan of industrial output value; u represents the reuse rate of production water; B represents the total industrial output value of the region on the highest day.

[0083] S222, based on the estimated water consumption value, establishing a daily variation model of the target water supply area as a water demand time series model;

[0084] The daily variation model is established based on historical data. One part of the historical data is the data measured by the main flow meter reserved when the pipe network is designed, and the other part is the data measured by the smart water meter and mechanical meter installed at the terminal water use node. Based on historical data and real-time data, the average daily water demand of the population, factory production needs, shopping mall merchant needs, etc. are estimated, and the 15-day average of the activity is calculated based on the daily change of flow, that is, the average water consumption at that time within 15 days before the current day. If the difference with the estimated value is less than 30%, it is directly used. If it is greater than 30%, it is considered that the recent data is abnormal, and feedback is given and the estimated value is used.

[0085] Specifically, based on the estimated water consumption, the mean flow rate at each moment 15 days ago is calculated to obtain the daily variation model, and a judgment is made at the same time. If the mean deviates from the estimated value by 30%, the water consumption at that point is considered abnormal and needs to be recorded and verified.

[0086] The special daily variation model is calculated based on the historical data of the previous 15 days. However, there may be abnormal water consumption in the area on some days in the previous 15 days due to fire or sudden pipe burst, and these abnormal data need to be excluded. For example, if the daily water consumption model for September 21 needs to be calculated, the total regional flow on September 20 is 500 cubic meters, and the estimated value is Q1 is 240 cubic meters to 360 cubic meters; Q2 is 60 cubic meters to 100 cubic meters, then the total range Q is 300 cubic meters to 460 cubic meters, with a fluctuation of 5%, that is, the range is 285 cubic meters to 483 cubic meters. The water consumption of 500 cubic meters on the current date exceeds the calculation range, which is judged to be abnormal. It is necessary to calculate forward one more day. If the water consumption on September 19 is 350 cubic meters, the current date is judged to be normal. Continue to calculate forward to the 18th and 17th, until 15 normal days are recorded. Retrieve the daily water consumption of these 15 normal days, calculate the average, and obtain the daily water consumption model for the 21st.

[0087] S223, according to the characteristics of each water use type area, the water flow of each water use type area is subjected to noise reduction and difference processing to correct the water demand time series model.

[0088] According to the characteristics of each water use type area, the flow of each zone is subjected to noise reduction and differential processing to split its seasonal part and trend part; the water flow of a single terminal node is also subjected to noise reduction and differential processing, and its trend is superimposed on the seasonal part of the area. In this way, the trend of some nodes, that is, characteristics such as population growth, can be retained, and the irrationality of seasonal changes in the area due to the small population sample can also be reduced; for example, the trend within a small area, the water use changes caused by holidays, customs, etc. are not much different from those of the entire urban area, so when calibrating, the water use trend within a large area is superimposed on the water use seasonality within a small area to obtain a more reasonable water demand time series model. Water use trends and water use seasonality are obtained through noise reduction and differential processing.

[0089] S23, according to different water use types and areas, build an optimal pressure range model for the target water supply area based on pressure monitoring data. This step specifically includes the following methods:

[0090] S231, drawing the pressure curve and water demand curve of each terminal node, and selecting the terminal nodes to be optimized according to the pressure fluctuation conditions based on the random forest regression model;

[0091] The terminal nodes are divided into two categories. One category is the points that do not need to be optimized. These are mainly factories that use water 24 hours a day, and the pressure in this part needs to be guaranteed. The other category is the terminal nodes to be optimized. These are mainly residential areas, commercial areas, and office buildings. When the water demand decreases, the pressure in this part will increase significantly.

[0092] Specifically, each terminal node is abstracted into a three-classification problem; first, the water-using nodes in the database are labeled, and the judgment basis is whether there is an obvious fluctuation in the daily water supply. As shown in Table 1:

[0093] Table 1 Daily water supply fluctuation statistics

[0094]

[0095] Specifically, G1, similar manual annotation is performed on historical data. The annotation can be distinguished by image judgment to distinguish between daytime fluctuations related to biological activities and day-night fluctuations related to working hours. The specific water demand model of each terminal node is displayed at every 3-hour time point. Divide 24 hours into daytime from 6:00 to 18:00 and nighttime from 18:00 to 6:00 the next day, and then get two arrays. Calculate the standard deviation of these two arrays. If the standard deviation is greater than 20% of the mean, it is considered to be a significant fluctuation. For example, the daytime mean of terminal node number 1 is 118.75, standard deviation 4.14, daytime mean 113.6, and standard deviation 7.41, which is considered to be not obvious in day-night fluctuations; the daytime mean of terminal node number 2 is 101.25, standard deviation 20.1, and daytime mean 74.4, standard deviation 37.9, which is considered to be obvious in day-night fluctuations and obvious daytime fluctuations; the daytime mean of terminal node number 2 is 113.75, standard deviation 8.19, daytime mean 66.88, and standard deviation 41.7 It is determined that the day-night fluctuation is obvious, while the daytime fluctuation is not obvious; based on the above calculation results, the terminal nodes are divided into three categories: terminal node number 1 belongs to the non-regulation area, and the water supply pressure needs to be calculated according to the historical pressure conditions; terminal node number 2 belongs to the peak-valley regulation area, and only needs to meet the peak water use pressure; terminal node number 3 belongs to the day-night regulation area, and only needs to meet the daytime water use pressure.

[0096] G2, splits the labeled historical data set and trains a random forest regression model to determine whether the water-using area needs pressure regulation.

[0097] G3 refreshes the database once a day and inputs the flow data of each point into the random forest regression model to avoid untimely or unreasonable pressure adjustments caused by seasonal changes.

[0098] G4, input the pressure of the point marked to be adjusted into the pressure reduction algorithm. When the water demand decreases and the pressure increases at the same time, that is, when a negative value appears when calculating the correlation coefficient, adjust the pressure value within the range.

[0099] First, retrieve the daily pressure change of the area. Since the number of installed pressure gauges is generally less than that of flow meters, several areas may be merged. We intercept 8 time points and obtain the following data as shown in Table 2:

[0100] Table 2 Statistics of daily pressure changes

[0101]

[0102] The terminal node 1 represented by the first row belongs to the non-pressure regulation area, and its demand pressure is calculated by the mean as the final pressure, and its curve is a straight line;

[0103] The terminal node 2 represented by the second row belongs to the peak-valley pressure adjustment area. The pressure during the peak water consumption time of local residents is used as the control pressure (the peak water consumption time of residents here can be changed, generally speaking, it is three time periods of 6:00-9:00, 12:00-14:00, and 18:00-22:00). The pressure is adjusted at other times. The peak-valley pressure difference is obtained by subtracting the mean value of the low-peak water consumption time period from the mean value of the peak water consumption time period. The peak-valley water consumption difference is calculated in the same way. The quotient of the two is used as the influencing factor of the terminal node. By adjusting this influencing factor and the time period of action, the pressure of the terminal node is adjusted. For example, the average pressure of terminal node 2 during peak time is 42.8, and the average pressure during trough time is 58.8; the difference is 16; the average water consumption during peak time is 110, and the average water consumption during trough time is 48.8; the difference is 61.2; the impact factor is -0.26, which means that on average, if the water consumption of terminal node 2 decreases by 100 cubic meters / day, the pressure will increase by 26 meters. Taking a certain proportion of the opposite number, such as 50%, that is, 0.13, it means that during the trough period of water consumption, every 100 cubic meters / day of water consumption decrease can reduce the pressure by 13 meters. This method can be used to obtain a pressure peak-valley curve that roughly corresponds to the peak-valley period of water demand (the fluctuation during the trough period will be much smaller than the corresponding area of ​​the water demand curve).

[0104] S232, performing a correlation analysis on the pressure and water demand of the terminal node to be optimized, and taking the minimum pressure requirement of the terminal node to be optimized as the standard, adjusting the pressure of the terminal node to be optimized according to the correlation analysis result. The method for determining the minimum pressure requirement of the terminal node to be optimized includes:

[0105] For the terminal nodes in the industrial water use area, the minimum pressure requirements include ensuring that the water supply pressure remains stable within the threshold range;

[0106] For terminal nodes in commercial water use areas, the minimum pressure requirements include meeting daytime water pressure;

[0107] For terminal nodes in residential water use areas, the minimum pressure requirement includes the pressure to meet peak water use.

[0108] Specifically, the correlation between the pressure and water demand of the terminal node to be optimized is calculated. Theoretically, the calculated correlation should be a negative value, that is, the water demand decreases and the pressure increases, but the actual situation is the opposite; the adjustment value cannot be adjusted too high, that is, during the peak water usage, the pressure does not need to be adjusted as much as during the trough, otherwise it will cause the peak pressure to be too high. The drop in pressure during the peak is obviously lower than the increase in pressure during the trough. Therefore, when calculating the pressure optimization interval, it is necessary to adjust the area where the pressure increases significantly, and do not adjust other situations.

[0109] For example, after first selecting the terminal nodes to be optimized, the pressure rise and fall calculation is performed. It is calculated that the pressure rises significantly at 2-6pm and 2-5pm and needs to be adjusted. A correlation analysis is performed on the pressure and water demand data for these two time periods to obtain a correlation coefficient after removing the mean. Assuming this coefficient is 0.02, it is assumed that every additional 100 cubic meters of water demand will cause the pressure to drop by 2 meters. The coefficient is adjusted according to the actual needs of the optimization, for example, a certain proportion of its opposite number is taken, assuming it is adjusted to -0.01, then the pressure is adjusted to the mean, and the pressure demand is reduced by 1 meter for every 100 cubic meters of water demand reduction.

[0110] Step 3: Reversely calculate the factory water pressure of the target water supply area based on the water demand model and the optimal pressure interval model; the basic principles of pipe network adjustment and fluid mechanics, as well as the calculation methods of simple and complex pipelines in chemical engineering principles are used. The output value is the pressure of each point, etc., and the trial and error method is used for calculation. The hydraulic model calculation core currently available on the market can generally only be calculated forward, that is, the factory pressure and the water demand of each node are input, and the theoretical pressure of each node can be calculated. However, this solution needs to perform reverse calculations, and it is necessary to assume the factory water pressure X, and iterate the value of X to make the pressure of each water node meet the minimum pressure requirement at the time. The iterative process can be optimized, but because the amount of calculation is not that large, conclusions can be drawn even if all calculations are performed.

[0111] Step 4: Taking the factory water pressure as the target and the optimal efficiency of the multi-pump combination as the constraint condition, the optimal operating frequency of each pump is calculated; this step specifically includes the following methods:

[0112] S41, obtaining efficiency parameters of all water pumps;

[0113] S42, based on the efficiency parameters of all water pumps and the factory water pressure, construct the multi-pump combination calculation equation:

[0114] Q 总 = q1+ q2+q3+···+q k ;

[0115] P 总 = p1+p2+p3+···+p k ;

[0116] E 总 = e1+e2+e3+···+e k ;

[0117] Among them, Q 总 Indicates the total flow rate out of the factory; q k represents the water supply of the kth water pump; P 总 Indicates factory water pressure; p krepresents the head of the kth water pump; E 总 Indicates total power consumption; e k represents the power consumption of the kth water pump;

[0118] S43, based on fuzzy-genetic algorithm calculation, configure the total factory flow Q 总 And the total power consumption E 总 When they are fixed values, the total power consumption E 总 The minimum water supply and lift of each water pump. Step S43 specifically includes the following sub-steps:

[0119] S431, set the genetic algorithm problem to find the appropriate water supply q of the water pump k And pump head p k To minimize the total power consumption E 总 , and meet the total factory flow Q 总 And the total power consumption E 总 When they are fixed values ​​respectively; given genetic individual s is composed of 5 water supply q k and 5 pump heads p k composition;

[0120] S432, randomly generate a series of genetic individuals s1, s2, s3, ..., assuming that 1000 non-repetitive genetic individuals are randomly generated to ensure that the total factory flow Q 总 And the total power consumption E 总 is the case of a given value;

[0121] S433, the following formula is used as a fitness function to calculate the fitness and screen genetic individuals;

[0122]

[0123] Among them, f represents the fitness function; c represents the total power consumption E 总 The threshold value; P′ represents the total power consumption E 总 The iterative result; e(t) represents the total power consumption E 总 Deviation;

[0124] S434, exchange information on the screened genetic individuals, for example, after forming an sx (qs1, qs1, qs2, qs2, qs2, ps1, ps1, ps2, ps2, ps2), randomly form (200*199 / 2) 19900 individuals again, and the second iteration has 316410 individuals;

[0125] S435, mutation operation, randomly configures 1% variation for the value of each selected genetic individual;

[0126] S436, check whether each genetic individual after mutation meets the total factory flow Q总 And the total power consumption E 总 They are respectively the constraints of fixed values. If they are not satisfied, the overall proportion is adjusted;

[0127] S437, iterate the above steps until the optimal solution is obtained after 10 iterations.

[0128] Step 5: Adjust each pump to the corresponding optimal operating frequency.

[0129] Embodiment 2: This embodiment provides a factory water pressure control system for multi-pump combined water supply, which is used to implement the factory water pressure control method for multi-pump combined water supply in embodiment 1; the system includes:

[0130] The acquisition module is used to obtain multiple terminal nodes in the target water supply area and obtain the pressure monitoring data and hydraulic distribution data of each terminal node;

[0131] A model building module is used to establish a water demand model for a target water supply area based on hydraulic distribution data, and to build an optimal pressure range model for the target water supply area based on pressure monitoring data;

[0132] The first calculation module is used to reversely calculate the factory water pressure of the target water supply area according to the water demand model and the optimal pressure range model;

[0133] The second calculation module is used to calculate the optimal operating frequency of each pump with the factory water pressure as the target and the optimal efficiency of the multi-pump combination as the constraint condition;

[0134] The regulating module is used to regulate each pump to the corresponding optimal operating frequency.

[0135] Embodiment 3: A computer readable medium having a computer program stored thereon, wherein the computer program is executed by a processor to implement the factory water pressure control method for multi-pump combined water supply as described in Embodiment 1; specifically, the following steps are performed:

[0136] Step 1: Obtain multiple terminal nodes in the target water supply area, and obtain pressure monitoring data and hydraulic distribution data of each terminal node;

[0137] Step 2: Establish a water demand model for the target water supply area based on hydraulic distribution data, and construct an optimal pressure range model for the target water supply area based on pressure monitoring data;

[0138] Step 3: Reversely calculate the factory water pressure of the target water supply area based on the water demand model and the optimal pressure range model;

[0139] Step 4: Taking the factory water pressure as the target and the optimal efficiency of the multi-pump combination as the constraint condition, calculate the optimal operating frequency of each pump;

[0140] Step 5: Adjust each pump to the corresponding optimal operating frequency.

[0141] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for regulating the factory water pressure of a multi-pump combined water supply, characterized in that: include: Acquire multiple terminal nodes of the target water supply area, and obtain pressure monitoring data and hydraulic distribution data of each terminal node; specifically include the following methods: acquire the pipe network topology of the target water supply area; Setting a pipe diameter threshold, screening out a portion of the topology in the pipe network topology where the pipe diameter is greater than or equal to the pipe diameter threshold; determining terminal nodes from the portion of the topology, the terminal nodes including water use terminal nodes and pipeline nodes; Collect hydraulic distribution data of terminal nodes; collect pressure data and flow data of terminal nodes and pipeline nodes; Establish a water demand model for the target water supply area based on hydraulic distribution data, and construct an optimal pressure range model for the target water supply area based on pressure monitoring data; The method includes: dividing each terminal node and pipeline node into water use type areas; the water use type areas include: industrial water use areas, commercial water use areas and residential water use areas; according to different water use type areas, a water demand time series model of the target water supply area is constructed based on hydraulic distribution data, and the water demand time series model is corrected; according to different water use type areas, an optimal pressure interval model of the target water supply area is constructed based on pressure monitoring data; The method comprises the following steps: constructing a water demand time series model of a target water supply area based on hydraulic distribution data according to different water use type areas, and correcting the water demand time series model; the method comprises the following steps: obtaining all water use type areas of a target water supply area, and estimating water use estimates of the target water supply area; the water use estimates include comprehensive domestic water use and industrial water use; based on the water use estimates, establishing a daily variation model of the target water supply area as a water demand time series model; and performing noise reduction and differential processing on the water flow of each water use type area according to the characteristics of each water use type area to correct the water demand time series model; The optimal pressure interval model of the target water supply area is constructed based on pressure monitoring data according to different water use type areas, including methods: drawing pressure curves and water demand curves of each terminal node, screening out terminal nodes to be optimized according to pressure fluctuation conditions based on a random forest regression model; performing correlation analysis on the pressure and water demand of the terminal node to be optimized, and taking the minimum pressure requirement of the current terminal node to be optimized as the standard, adjusting the pressure of the current terminal node to be optimized according to the correlation analysis results; Reversely calculate the outgoing water pressure of the target water supply area based on the water demand model and the optimal pressure range model; Taking the factory water pressure as the target and the optimal efficiency of the multi-pump combination as the constraint condition, the optimal operating frequency of each pump is calculated; Adjust each pump to the corresponding optimal operating frequency.

2. The method for regulating and controlling the factory water pressure for multi-pump combined water supply according to claim 1, characterized in that: The comprehensive domestic water consumption Q1 is calculated according to the following formula: Q1= q1*N*f; N=N0(1+a)n; Q1 represents the comprehensive domestic water consumption in the target water supply area; q1 represents the maximum daily comprehensive water quota in the target water supply area within n years; N represents the planned permanent population in the target water supply area within n years; N0 represents the population of the target water supply area in that year; a represents the natural population growth rate in the target water supply area; f represents the tap water penetration rate; The water consumption Q2 of the industrial enterprise is calculated according to the following formula: Q2= Q2a+Q2b; Q2a=q2a*N2a+q2b*N2b; Q2b=q 2b *B(1-u); Among them, Q2a represents the domestic water consumption of industrial enterprises; Q2b represents the industrial production water consumption; q2a represents the living water quota of employees; N2a represents the total number of employees using living water; q2b represents the employee shower water quota; N2b represents the total number of employees using shower water; q 2b represents the water volume per 10,000 yuan of industrial output value; u represents the reuse rate of production water; B represents the total industrial output value of the region on the highest day.

3. The method for regulating and controlling the factory water pressure for multi-pump combined water supply according to claim 1, characterized in that: The method for determining the minimum pressure requirement of the terminal node to be optimized currently includes: For the terminal nodes in the industrial water use area, the minimum pressure requirements include ensuring that the water supply pressure remains stable within the threshold range; For terminal nodes in commercial water use areas, the minimum pressure requirements include meeting daytime water pressure; For terminal nodes in residential water use areas, the minimum pressure requirement includes the pressure to meet peak water use.

4. The method for regulating and controlling the factory water pressure for multi-pump combined water supply according to claim 1, characterized in that: Taking the factory water pressure as the target and the optimal efficiency of the multi-pump combination as the constraint condition, the optimal operating frequency of each pump is calculated; including method: Get the efficiency parameters of all water pumps; The multi-pump combination calculation equation is constructed based on the efficiency parameters of all water pumps and the factory water pressure: Q 总 = q1+ q2+ q3+···+ q k ; P 总 = p1+ p2+ p3+···+ p k ; AND 总 = e1+ e2+ e3+···+e k ; Among them, Q 总 Indicates the total flow rate out of the factory; q k represents the water supply of the kth water pump; P 总 Indicates factory water pressure; p k represents the head of the kth water pump; E 总 Indicates total power consumption; e k represents the power consumption of the kth water pump; Based on fuzzy-genetic algorithm calculation, configure the total factory flow Q 总 And the total power consumption E 总 When they are fixed values, the total power consumption E 总 Minimum water supply of each pump.

5. The factory water pressure control system for multi-pump combined water supply is characterized by: Used to implement the factory water pressure control method for multi-pump combined water supply according to any one of claims 1 to 4; the system comprises: The acquisition module is used to obtain multiple terminal nodes in the target water supply area and obtain the pressure monitoring data and hydraulic distribution data of each terminal node; A model building module is used to establish a water demand model for a target water supply area based on hydraulic distribution data, and to build an optimal pressure range model for the target water supply area based on pressure monitoring data; The first calculation module is used to reversely calculate the factory water pressure of the target water supply area according to the water demand model and the optimal pressure range model; The second calculation module is used to calculate the optimal operating frequency of each pump with the factory water pressure as the target and the optimal efficiency of the multi-pump combination as the constraint condition; The regulating module is used to regulate each pump to the corresponding optimal operating frequency.

6. A computer readable medium having a computer program stored thereon, characterized in that: The computer program is executed by a processor to implement the factory water pressure control method for multi-pump combined water supply as described in any one of claims 1 to 4.

Images