Water-saving intelligent control setting method and system for water supply equipment

Abstract

The invention belongs to the technical field of water-saving intelligent control, and discloses a water-saving intelligent control setting method and system for water supply equipment. Parameters such as outlet pressure of the water supply equipment and outlet pressure at the tail end in a coverage area of the water supply equipment are calculated by adopting algorithms such as polynomial linear regression, least square estimation and support vector machine prediction; finding out a change relation between parameters such as terminal monitoring pressure parameters and outlet pressure, establishing a corresponding correlation model, finally establishing a control model taking the most unfavorable point monitoring parameters as variables, collecting real-time data, inputting the model, calculating the running power of the water pump at the current moment, and adopting a machine learning algorithm to calculate the running power of the water pump. The water supply pressure of the water pump at the next time interval T is predicted, finally, a corresponding trend chart is generated, an instruction is given to the water supply pump, the water supply pump operates according to the trend chart, constant tail end pressure is guaranteed, and finally the aim of saving energy and water is achieved on the premise that water consumption of users in the area is guaranteed.

Description

Technical Field

[0001] The present invention belongs to the technical field of water-saving intelligent control, and in particular, relates to a method and system for setting water-saving intelligent control of water supply equipment. Background Art

[0002] With the rapid development of my country's economy and the improvement of people's living standards, people have higher and higher requirements for the amount, pressure and quality of drinking water. With the rapid urbanization in my country, the population is becoming more and more dense, and the development of industry and agriculture and people's daily life have a greater demand for various energy resources, and urban water resources are the first to bear the brunt. Water supply is the first issue that all urban development must pay attention to. In order to increase the economic benefits of the water supply industry and expand production capacity, energy conservation and consumption reduction in the water supply industry is imperative.

[0003] The operation mode of the traditional secondary booster pump station can achieve the peak water consumption, water pressure requirements of users through the peak load regulation of the water tank. However, this traditional water supply method wastes the potential energy of the municipal pipe network water and converts it into energy-free water, which is not in line with the current situation of energy conservation and emission reduction. The superimposed water supply technology studied in recent years adopts the vacuum compensation method, which can not only better avoid the negative pressure caused by direct series connection to the municipal water pipe, but also cancels the setting of the water tank to maintain a good energy-saving effect. Therefore, the superimposed water supply technology has been regarded as a very promising water supply technology. However, this water supply method also has certain limitations. It not only lacks the regulating and storage function of the water tank, but also the reliability of water supply cannot be guaranteed. In addition, because there is no effective isolation measure between the user and the municipal pipe network, the user's water use accident is likely to affect the water supply of the entire city.

[0004] With the continuous development of technology, especially the in-depth research and application of intelligent control algorithms and big data analysis technologies, if we can use intelligent algorithms, big data analysis and other technical means, according to the different coverage areas of water supply equipment, install pressure monitoring devices at the end of the water supply, collect corresponding parameters, and use polynomial linear regression, least squares estimation algorithm, support vector machine prediction algorithm, etc., to achieve accurate and intelligent control of water supply equipment.

[0005] Through the above analysis, the problems and defects of the prior art are as follows:

[0006] The existing water supply method has certain limitations. Not only does it lack the regulating and storage function of the water tank, the reliability of water supply cannot be guaranteed, but also because there are no effective isolation measures between users and the municipal pipeline network, water use accidents by users are likely to affect the water supply of the entire city. Summary of the invention

[0007] In view of the problems existing in the prior art, the present invention provides a method and system for setting water-saving intelligent control of water supply equipment.

[0008] The present invention is implemented in this way: a method for setting water-saving intelligent control of water supply equipment includes:

[0009] Step 1, setting the terminal outlet pressure P0;

[0010] Step 2, collect data for 30 seconds at a collection frequency of 1 Hz;

[0011] Step 3, input pipeline fixed parameters;

[0012] Step 4, calculate each coefficient in the model;

[0013] Step 5: Model building;

[0014] Step 6: The support vector machine predicts the outlet pressure value that the pump needs to reach at the next moment.

[0015] Further, the data collected for 30 seconds:

[0016] Water supply equipment water outlet pressure P1;

[0017] The most unfavorable point monitoring pressure P2;

[0018] The instantaneous flow rate Q1 at the outlet of the water supply equipment.

[0019] Further, the calculation method of each coefficient in the model is as follows:

[0020] The objective function is that the pressure at the most unfavorable monitoring point is constant;

[0021] From the pipeline characteristic curve, we can know that:

[0022] H=H0+SQ 2 (1)

[0023] Where: H——head (mH2O)

[0024] S——Pipeline impedance (m -5 s 2 )

[0025] Q——Pipeline flow (m 3 / s)

[0026] H0——static head at the most unfavorable point (mH2O)

[0027] Among them, for S and H0, for the water supply area where the system design has been completed and has been in operation, they remain unchanged in the pipe network system. Therefore, the pressure value required at the most unfavorable point of the pipeline can be calculated based on the flow parameters;

[0028] The area W of the area enclosed by the pipeline characteristic curve H0 and its (H, Q) coordinate system 理论 This is the theoretical electrical power consumed by the pump station within 24 hours:

[0029]

[0030] Where W 理论 ——Theoretically required electrical power consumption (W);

[0031] H a ——The head of the pumping station at the highest water consumption day (mH2O);

[0032] Q A ——Water flow rate of the pump station at the highest point on the day of maximum water consumption (m 3 / s);

[0033] The actual electrical power W of the pump in one day when the outlet is variable-speed controlled and variable-pressure water supply a1 for:

[0034] W a1 =Q A H (3)

[0035] When the water pump is variable frequency speed regulation and variable pressure water supply, the power loss of the pump station in one day is W Δ1 for:

[0036]

[0037] When the water pump uses variable frequency speed regulation and variable pressure water supply, the power loss rate of the pump station within one day is:

[0038] δ1=(W Δ1 / W 理论 )*100%=(H a -H0) / (H a +H0)×100% (5)

[0039] It can be seen from equations (4) and (5) that the power loss of the pump station is W Δ1 Compared with the most unfavorable point still water head H0, head H a , Pump station flow Q A In a given piping system, H0, H a unchanged, at this time the power loss increases with the flow rate Q A At the same time, the power loss rate of the pump station is only related to the static head H0 and the head H a Related to flow Q A Not relevant;

[0040] Therefore, based on the above analysis, in order to achieve the most unfavorable monitoring pressure constant and the minimum power consumed by the pump unit, it can be converted into the following equation:

[0041]

[0042] That is, when the power loss rate δ1 approaches 0 infinitely, the relationship between the pressure at the most unfavorable point and the outlet pressure and outlet flow of the water pump is obtained; in actual situations, as long as someone uses water, the power loss rate δ1 cannot be zero, so the solution to this problem is further transformed into:

[0043]

[0044] At the same time, the relationship between pressure and flow in the pipeline can be known:

[0045]

[0046] Where: Q - pump outlet flow;

[0047] μ——discharge coefficient, related to the pipeline, 0.6~0.65;

[0048] P0——pipeline system end pressure;

[0049] P——water pump outlet pressure;

[0050] ρ——medium density;

[0051] A——pipeline cross-sectional area;

[0052] The conversion relationship between pressure and lift:

[0053] H=P / ρg (9)

[0054] Where: H——lift;

[0055] P——pressure;

[0056] ρ——medium density;

[0057] g——acceleration due to gravity;

[0058] Substituting equations (8) and (9) into equation (7), and considering the minimum value of δ1, equation (7) can be transformed into:

[0059]

[0060] Where: P0——pressure value monitored at the most unfavorable point;

[0061] S——Pipeline impedance (m -5 s 2 );

[0062] ρ——medium density;

[0063] g——acceleration due to gravity;

[0064] μ——discharge coefficient, related to the pipeline, 0.6~0.65;

[0065] A——pipeline cross-sectional area;

[0066] P a ——Pump outlet pressure value;

[0067] In order to ensure that the pressure at the most unfavorable point is constant, it is necessary to add the corresponding correction coefficient. The energy-saving intelligent control model of water supply equipment with the goal of keeping the pressure at the most unfavorable monitoring point constant is as follows:

[0068]

[0069] Where: P0——pressure value monitored at the most unfavorable point;

[0070] S——Pipeline impedance (m -5 s 2 );

[0071] ρ——medium density;

[0072] g——acceleration due to gravity;

[0073] μ——discharge coefficient, related to the pipeline, 0.6~0.65;

[0074] A——pipeline cross-sectional area;

[0075] P a ——Pump outlet pressure value;

[0076] P s ——Ideal pressure value at the most unfavorable monitoring point;

[0077] P0 * ——The most unfavorable pressure value of the monitoring point at the previous moment.

[0078] Another object of the present invention is to provide a water-saving intelligent control setting system for water supply equipment, comprising:

[0079] Setting module, used to set the terminal outlet pressure P0;

[0080] The acquisition module is used to collect 30s of data at an acquisition frequency of 1Hz;

[0081] An input module, used to input pipeline fixed parameters;

[0082] The calculation module is used to calculate the various coefficients in the model;

[0083] Building modules for model building;

[0084] The prediction module is used to support vector machine to predict the outlet pressure value that the water pump needs to reach at the next moment.

[0085] Another object of the present invention is to provide a computer device, which includes a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the method for setting water-saving intelligent control of water supply equipment.

[0086] Another object of the present invention is to provide a computer-readable storage medium storing a computer program, which, when executed by a processor, enables the processor to execute the steps of the method for setting up water-saving intelligent control for water supply equipment.

[0087] Another object of the present invention is to provide an information data processing terminal, which is used to implement the water-saving intelligent control setting system for water supply equipment.

[0088] In combination with the above technical solutions and the technical problems solved, the advantages and positive effects of the technical solutions to be protected by the present invention are as follows:

[0089] First, the present invention is a method for setting water-saving intelligent control for water supply equipment. It is mainly based on the outlet pressure of the water supply equipment, the outlet pressure at the end of the water supply equipment coverage area and other parameters, and uses polynomial linear regression, least squares estimation, support vector machine prediction and other algorithms to find the change relationship between the terminal monitoring pressure parameters and the outlet pressure and other parameters, establish a corresponding association model, and finally build a control model with the most unfavorable point monitoring parameters as variables. The sampling frequency is 1Hz, and the time interval of the set time T is used to collect real-time data, input the model, calculate the operating power of the water pump at the current moment, and use the machine learning algorithm-support vector machine prediction algorithm to predict the water supply pressure of the water pump at the next time interval T. Finally, the corresponding trend chart is generated, and the water supply pump is instructed to operate according to the trend chart to ensure the constant pressure at the end, and finally achieve the goal of energy saving and water saving on the premise of ensuring the water use of users in the area. The patent of the present invention has the advantages of intelligence, real-time, human-computer interaction, strong resistance to environmental interference, and strong versatility.

[0090] Second, the present invention solves the problems of high energy consumption, low efficiency and lack of real-time performance in the operation of water supply systems in the prior art by intelligently controlling water supply equipment to save water. When faced with complex water demands, traditional water supply systems are unable to dynamically adjust the water supply pressure, which often causes the water pump to operate overloaded for a long time, increasing unnecessary energy consumption. By adopting real-time data acquisition and a prediction model based on a support vector machine, the present invention can intelligently adjust the outlet pressure of the water pump to ensure that the pressure at the most unfavorable point is constant, thereby significantly reducing energy consumption and achieving efficient water saving.

[0091] When faced with the complexity of different pipeline systems, the existing technology often finds it difficult to adapt to the pressure fluctuations caused by different pipeline characteristics, which affects the stability of the system. The present invention introduces pipeline characteristic curves and dynamic calculation models, and effectively solves the problem of system instability through real-time monitoring and analysis of key parameters such as pipeline impedance, flow, and pressure. The system can perform adaptive adjustments based on the specific parameters of different pipeline networks to ensure the operational stability and efficiency of the water supply system in complex pipeline networks.

[0092] Traditional water supply systems usually lack intelligent prediction and control capabilities, resulting in low pump operation efficiency, high maintenance costs and other problems. The present invention achieves accurate prediction and dynamic control of the pump outlet pressure by introducing the support vector machine (SVM) algorithm. Compared with the existing traditional methods, SVM can quickly respond to changes in pipeline pressure in a short period of time, and predict the pump outlet pressure value required at the next moment in real time, so that the water supply equipment can operate intelligently, improving the accuracy and intelligence level of the overall control.

[0093] Through the intelligent control method of the present invention, not only the energy-saving operation of the water supply system is achieved, but also the maintenance cost of the equipment is greatly reduced. Through the accurate calculation of the power loss and pressure loss of the water supply equipment, the system can optimize the operating state of the water pump, extend the service life of the equipment, and reduce the loss caused by the overload operation of the equipment. Overall, the present invention significantly improves the energy-saving efficiency and intelligence of the water supply system, and promotes the application and progress of water supply equipment technology in the industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0094] Figure 1 It is a flow chart of a method for setting water-saving intelligent control for water supply equipment provided by an embodiment of the present invention.

[0095] Figure 2 It is a structural block diagram of a system for setting water-saving intelligent control for water supply equipment provided by an embodiment of the present invention.

[0096] Figure 3 It is a schematic diagram of the layout of monitoring parameters of water supply equipment provided by an embodiment of the present invention.

[0097] Figure 4It is a detailed implementation process flowchart of the water-saving intelligent control setting method for water supply equipment provided by the embodiment of the present invention. DETAILED DESCRIPTION

[0098] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0099] like Figure 1 As shown, an embodiment of the present invention provides a method for setting water-saving intelligent control for water supply equipment, comprising the following steps:

[0100] S101, setting the terminal outlet pressure P0;

[0101] S102, collecting data for 30 seconds at a collection frequency of 1 Hz;

[0102] S103, input pipeline fixed parameters;

[0103] S104, calculating each coefficient in the model;

[0104] S105, model building;

[0105] S106, the support vector machine predicts the outlet pressure value that the water pump needs to reach at the next moment.

[0106] The data collected for 30 seconds provided in the embodiment of the present invention is as follows:

[0107] Water supply equipment water outlet pressure P1;

[0108] The most unfavorable point monitoring pressure P2;

[0109] The instantaneous flow rate Q1 at the outlet of the water supply equipment.

[0110] The calculation methods of various coefficients in the model provided in the embodiment of the present invention are as follows:

[0111] The intelligent regulation process of water supply equipment can be regarded as a multivariate linear regression model, and the objective function is the constant pressure at the most unfavorable monitoring point;

[0112] From the pipeline characteristic curve, we can know that:

[0113] H=H0+SQ 2 (1)

[0114] Where: H——head (mH2O)

[0115] S——Pipeline impedance (m -5 s 2 )

[0116] Q——Pipeline flow (m 3 / s)

[0117] H0——static head at the most unfavorable point (mH2O)

[0118] Among them, for S and H0, for the water supply area where the system design has been completed and has been in operation, they remain unchanged in the pipe network system. Therefore, the pressure value required at the most unfavorable point of the pipeline can be calculated based on the flow parameters;

[0119] The area W of the area enclosed by the pipeline characteristic curve H0 and its (H, Q) coordinate system 理论 This is the theoretical electrical power consumed by the pump station within 24 hours:

[0120]

[0121] Where W 理论 ——Theoretically required electrical power consumption (W);

[0122] H a ——The head of the pumping station at the highest water consumption day (mH2O);

[0123] Q A ——Water flow rate of the pump station at the highest point on the day of maximum water consumption (m 3 / s);

[0124] The actual electrical power W of the pump in one day when the outlet is variable-speed controlled and variable-pressure water supply a1 for:

[0125] W a1 =Q A H (3)

[0126] When the water pump is variable frequency speed regulation and variable pressure water supply, the power loss of the pump station in one day is W Δ1 for:

[0127]

[0128] When the water pump uses variable frequency speed regulation and variable pressure water supply, the power loss rate of the pump station within one day is:

[0129] δ1=(W Δ1 / W 理论 )*100%=(H a -H0) / (H a +H0)×100% (5)

[0130] It can be seen from equations (4) and (5) that the power loss of the pump station is W Δ1 Compared with the most unfavorable point still water head H0, head H a , Pump station flow Q AIn a given piping system, H0, H a unchanged, at this time the power loss increases with the flow rate Q A At the same time, the power loss rate of the pump station is only related to the static head H0 and the head H a Related to flow Q A Not relevant;

[0131] Therefore, based on the above analysis, in order to achieve the most unfavorable monitoring pressure constant and the minimum power consumed by the pump unit, it can be converted into the following equation:

[0132]

[0133] That is, when the power loss rate δ1 approaches 0 infinitely, the relationship between the pressure at the most unfavorable point and the outlet pressure and outlet flow of the water pump is obtained; in actual situations, as long as someone uses water, the power loss rate δ1 cannot be zero, so the solution to this problem is further transformed into:

[0134]

[0135] At the same time, the relationship between pressure and flow in the pipeline can be known:

[0136]

[0137] Where: Q - pump outlet flow;

[0138] μ——discharge coefficient, related to the pipeline, 0.6~0.65;

[0139] P0——pipeline system end pressure;

[0140] P——water pump outlet pressure;

[0141] ρ——medium density;

[0142] A——pipeline cross-sectional area;

[0143] The conversion relationship between pressure and lift:

[0144] H=P / ρg (9)

[0145] Where: H——lift;

[0146] P——pressure;

[0147] ρ——medium density;

[0148] g——acceleration due to gravity;

[0149] Substituting equations (8) and (9) into equation (7), and considering the minimum value of δ1, equation (7) can be transformed into:

[0150]

[0151] Where: P0——pressure value monitored at the most unfavorable point;

[0152] S——Pipeline impedance (m -5 s 2 );

[0153] ρ——medium density;

[0154] g——acceleration due to gravity;

[0155] μ——discharge coefficient, related to the pipeline, 0.6~0.65;

[0156] A——pipeline cross-sectional area;

[0157] P a ——Pump outlet pressure value;

[0158] In order to ensure that the pressure at the most unfavorable point is constant, it is necessary to add the corresponding correction coefficient. The energy-saving intelligent control model of water supply equipment with the goal of keeping the pressure at the most unfavorable monitoring point constant is as follows:

[0159]

[0160] Where: P0——pressure value monitored at the most unfavorable point;

[0161] S——Pipeline impedance (m -5 s 2 );

[0162] ρ——medium density;

[0163] g——acceleration due to gravity;

[0164] μ——discharge coefficient, related to the pipeline, 0.6~0.65;

[0165] A——pipeline cross-sectional area;

[0166] P a ——Pump outlet pressure value;

[0167] P s ——Ideal pressure value at the most unfavorable monitoring point;

[0168] P0 * ——The most unfavorable pressure value of the monitoring point at the previous moment.

[0169] According to the above model, on the basis of mastering the monitoring parameters at the most unfavorable point, the outlet pressure value that the water pump should reach can be fed back in real time, thereby intelligently controlling the operation of the water pump.

[0170] like Figure 2 As shown, an embodiment of the present invention provides a water-saving intelligent control setting system for water supply equipment, comprising:

[0171] Setting module, used to set the terminal outlet pressure P0;

[0172] The acquisition module is used to collect 30s of data at an acquisition frequency of 1Hz;

[0173] An input module, used to input pipeline fixed parameters;

[0174] The calculation module is used to calculate the various coefficients in the model;

[0175] Building modules for model building;

[0176] The prediction module is used to support vector machine to predict the outlet pressure value that the water pump needs to reach at the next moment.

[0177] Another object of the present invention is to provide a computer device, which includes a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the method for setting water-saving intelligent control of water supply equipment.

[0178] Another object of the present invention is to provide a computer-readable storage medium storing a computer program, which, when executed by a processor, enables the processor to execute the steps of the method for setting up water-saving intelligent control for water supply equipment.

[0179] Another object of the present invention is to provide an information data processing terminal, which is used to implement the water-saving intelligent control setting system for water supply equipment.

[0180] Figure 3 It is a schematic diagram of the layout of monitoring parameters of water supply equipment provided by an embodiment of the present invention.

[0181] Figure 4 It is a detailed implementation process flowchart of the water-saving intelligent control setting method for water supply equipment provided by the embodiment of the present invention.

[0182] Industrial application example 1: Energy saving optimization of urban water supply system

[0183] In modern urban water supply systems, due to the large fluctuations in water demand, water supply equipment needs to frequently adjust the water outlet pressure according to changes in demand. In traditional water supply systems, water pumps often operate at a fixed pressure, resulting in energy waste. The water-saving intelligent control method of the present invention collects water pressure, flow and other data at different locations in the water supply system in real time, combines the support vector machine algorithm to predict the water supply demand at the next moment, and dynamically adjusts the operating pressure of the water pump, thereby reducing energy consumption.

[0184] In actual application, after a city's water supply system introduced this water-saving intelligent control technology, it achieved precise control of water supply equipment and significantly reduced the operating power consumption of the water supply pump station. After 6 months of operation testing, the energy consumption of the pump station was reduced by about 15%, saving a lot of operating costs, and the maintenance cycle of the water supply equipment was also extended, while ensuring the stability and reliability of users' water use.

[0185] Industrial application example 2: Water-saving control in agricultural irrigation systems

[0186] Agricultural irrigation systems usually use large water pumps to pump water from rivers or reservoirs to irrigate farmland. Traditional irrigation systems are often unable to dynamically adjust the water supply according to real-time soil moisture or crop demand, which easily leads to waste of water resources. The water-saving intelligent control system of the present invention monitors real-time data such as water pressure and soil moisture in the irrigation area, and combines support vector machines to predict the water demand at the next moment to achieve intelligent adjustment of the water pump.

[0187] In a large agricultural planting base, the irrigation system using this technology can automatically adjust the irrigation amount according to the soil moisture and crop needs of different plots to avoid over-watering. After the application of this system, irrigation water was reduced by about 20%, while crop yield and quality were significantly improved, promoting the sustainable development of agricultural production.

[0188] The working principle of the present invention is based on the water pump variable frequency speed regulation system and pipe network pressure control, and adopts a data-driven method to perform water-saving intelligent control on water supply equipment. Through the real-time collection of key parameters and the application of support vector machine algorithm, the system can dynamically adjust the operating status of the water supply equipment to ensure the optimal water supply efficiency and energy consumption.

[0189] 1. Data collection and input

[0190] The system first collects 30 seconds of data on the outlet pressure (P1) of the water supply equipment, the most unfavorable point monitoring pressure (P2), and the outlet instantaneous flow rate (Q1) of the water supply equipment through the data acquisition module at a collection frequency of 1 Hz. These data can reflect the operating status of the water supply system in real time, especially the pressure changes and instantaneous flow rate in the pipeline, as the basic input for subsequent control calculations.

[0191] 2. Model coefficient calculation

[0192] According to the collected data, the system calculates the coefficients of each model based on the pipeline characteristic curve through the model calculation module. Specifically, parameters such as head, pipeline impedance, flow rate, and static head at the most unfavorable point are calculated through formulas. In order to ensure that the monitoring pressure at the most unfavorable point is constant, the system needs to calculate the key coefficients that affect pressure and power loss, and ultimately ensure the optimal operating efficiency of the water supply system.

[0193] 3. Calculation of power loss and pressure loss

[0194] The model calculation module determines the power loss and pressure loss of the water pump in one day when the water pump is variable frequency speed regulation based on the flow rate, head and pipeline impedance. The calculation of this part involves multiple formulas (such as formula (4) and formula (5)), which can be used to calculate the power loss of the water pump during actual operation, and then calculate the power loss rate. This calculation process ensures that the power consumption of the water pump is minimized under the condition of variable pressure water supply, while ensuring the stable operation of the system.

[0195] 4. Support Vector Machine Prediction

[0196] The prediction module in the system uses the support vector machine (SVM) algorithm to predict the outlet pressure value that the pump needs to reach at the next moment based on known operating data. The SVM model learns from historical data and identifies the pattern of pressure changes, thereby accurately predicting future pressure requirements. Through this prediction, it can ensure that when the pressure of the water supply system changes, the pump can respond quickly and keep the monitoring pressure at the most unfavorable point constant.

[0197] 5. Intelligent control of water supply equipment

[0198] Based on the pump outlet pressure predicted by the support vector machine, the system can intelligently adjust the working state of the pump and dynamically adjust the variable frequency speed regulation to meet the real-time water supply demand. The pump outlet pressure will be adjusted in real time according to the changes in the pressure monitored at the most unfavorable point, ensuring that the water supply system is always in a stable and energy-saving operating state.

[0199] 6. Energy saving optimization and feedback

[0200] Finally, the system further optimizes the operation of the water supply equipment by providing feedback on the model calculation results and SVM prediction results. By dynamically adjusting the outlet pressure and flow of the water pump, the system saves electricity while ensuring the water supply pressure. The entire control process is completed through a closed-loop feedback system, realizing intelligent and energy-saving management of water supply equipment.

[0201] Example 1: Energy-saving application of urban water supply system

[0202] In the water supply system of a large city, the present invention is applied to the main water supply network of the city, aiming to improve the water-saving and energy-saving efficiency of the water supply system. The system installs high-precision pressure sensors and flow monitoring devices at multiple key nodes (such as the main pump station and regional water pressure control points) to collect real-time data at a collection frequency of 1Hz. By analyzing these data, the support vector machine (SVM) algorithm is used to predict the water supply demand at future times. The system can accurately control the variable frequency speed regulation of the water pump to ensure the pressure stability at the end of the water supply network.

[0203] This intelligent control method greatly reduces the overload of water pumps. During peak water supply periods, the water pumps can flexibly adjust their output to avoid unnecessary energy consumption. After long-term operation, the energy consumption of the city's water supply system has been reduced by about 20%, and the operating life of the water pump equipment has been effectively extended. This energy-saving technology has been widely recognized and has effectively promoted the intelligent transformation of urban water supply systems.

[0204] Example 2: Intelligent control application of water supply system in industrial park

[0205] In a certain industrial park, water supply demand is highly volatile, especially when water consumption varies greatly among different enterprises. It is difficult for traditional water supply systems to ensure balanced water supply pressure in various areas. The present invention installs pressure and flow monitoring devices at key pipeline nodes in the park, combines pipeline characteristic curves and SVM algorithm models, and monitors and predicts water supply demand in different areas in real time.

[0206] The system dynamically adjusts the outlet pressure and flow of the water pump according to the water usage of different enterprises to ensure that the monitoring pressure at the most unfavorable point remains constant. At the same time, the energy consumption management of the water pump is optimized by calculating the power loss and pressure loss. After the implementation of the present invention, the energy consumption of the water pump in the industrial park has been reduced by about 15%, and the water supply stability of each enterprise during the peak water usage period has been significantly improved, which has greatly improved the intelligence level and operation efficiency of the park's water supply system.

[0207] These two embodiments demonstrate the wide application of the present invention in urban water supply systems and industrial parks, and prove its significant advantages in energy saving, intelligent control and system optimization.

[0208] It should be noted that the embodiments of the present invention can be implemented by hardware, software, or a combination of software and hardware. The hardware part can be implemented using dedicated logic; the software part can be stored in a memory and executed by an appropriate instruction execution system, such as a microprocessor or dedicated design hardware. A person of ordinary skill in the art will appreciate that the above-mentioned devices and methods can be implemented using computer executable instructions and / or contained in a processor control code, such as a carrier medium such as a disk, CD or DVDROM, a programmable memory such as a read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. Such code is provided on the carrier medium. The device and its modules of the present invention can be implemented by hardware circuits such as very large-scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, etc., or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., can also be implemented by software executed by various types of processors, and can also be implemented by a combination of the above-mentioned hardware circuits and software, such as firmware.

[0209] The above description is only a specific implementation mode of the present invention, but the protection scope of the present invention is not limited thereto. Any modifications, equivalent substitutions and improvements made by any technician familiar with the technical field within the technical scope disclosed by the present invention and within the spirit and principle of the present invention should be covered by the protection scope of the present invention.

Claims

1. A method for setting water-saving intelligent control for water supply equipment, characterized in that: The following steps are involved: The data acquisition module collects 30 seconds of data on the outlet pressure (P1), the most unfavorable point monitoring pressure (P2) and the instantaneous outlet flow (Q1) of the water supply equipment at a collection frequency of 1 Hz; based on the pipeline characteristic curve, the fixed parameters of the pipeline are used to calculate the head, pipeline impedance and flow coefficient; through the support vector machine (SVM) algorithm, based on historical data and current data, the outlet pressure value that the water pump needs to reach at the next moment is predicted; the variable frequency speed regulation of the water pump is adjusted in real time to ensure that the monitoring pressure at the most unfavorable point is constant, and to optimize the energy consumption of the water supply system, reduce electrical loss power, and realize intelligent control of water saving and energy saving.

2. The method for setting water-saving intelligent control for water supply equipment according to claim 1, characterized in that: The data collected for 30 seconds: Water supply equipment water outlet pressure P1; The most unfavorable point monitoring pressure P2; The instantaneous flow rate Q1 at the outlet of the water supply equipment.

3. The method for setting water-saving intelligent control for water supply equipment according to claim 1, characterized in that: The calculation method of each coefficient in the model is as follows: The objective function is that the pressure at the most unfavorable monitoring point is constant; From the pipeline characteristic curve, we can know that: H=H0+SQ 2 (1) Where: H——head (mH2O) S——Pipeline impedance (m -5 s 2 ) Q——Pipeline flow (m 3 / s) H0——static head at the most unfavorable point (mH2O) Among them, for S and H0, for the water supply area where the system design has been completed and has been in operation, they remain unchanged in the pipe network system. Therefore, the pressure value required at the most unfavorable point of the pipeline can be calculated based on the flow parameters; The area W of the area enclosed by the pipeline characteristic curve H0 and its (H, Q) coordinate system 理论 This is the theoretical electrical power consumed by the pump station within 24 hours: Where W 理论 ——Theoretically required electrical power consumption (W); H a ——The head of the pumping station at the highest water consumption day (mH2O); Q A ——Water flow rate of the pump station at the highest point on the day of maximum water consumption (m 3 / s); The actual electrical power W of the pump in one day when the outlet is variable-speed controlled and variable-pressure water supply a1 for: W a1 =Q A H (3) When the water pump is variable frequency speed regulation and variable pressure water supply, the power loss of the pump station in one day is W Δ1 for: When the water pump uses variable frequency speed regulation and variable pressure water supply, the power loss rate of the pump station within one day is: δ1=(W Δ1 / IN 理论 )*100%=(H a -H0) / (H a +H0)×100% (5) It can be seen from equations (4) and (5) that the power loss of the pump station is W Δ1 Compared with the most unfavorable point still water head H0, head H a , Pump station flow Q A In a given piping system, H0, H a unchanged, at this time the power loss increases with the flow rate Q A At the same time, the power loss rate of the pump station is only related to the static head H0 and the head H a Related to flow Q A Not relevant; Therefore, based on the above analysis, in order to achieve the most unfavorable monitoring pressure constant and the minimum power consumed by the pump unit, it can be converted into the following equation: That is, when the power loss rate δ1 approaches 0 infinitely, the relationship between the pressure at the most unfavorable point and the outlet pressure and outlet flow of the water pump is obtained; in actual situations, as long as someone uses water, the power loss rate δ1 cannot be zero, so the solution to this problem is further transformed into: At the same time, the relationship between pressure and flow in the pipeline can be known: Where: Q - pump outlet flow; μ——discharge coefficient, related to the pipeline, 0.6~0.65; P0——pipeline system end pressure; P——water pump outlet pressure; ρ——medium density; A——pipeline cross-sectional area; The conversion relationship between pressure and lift: H=P / ρg (9) Where: H——lift; P——pressure; ρ——medium density; g——acceleration due to gravity; Substituting equations (8) and (9) into equation (7), and considering the minimum value of δ1, equation (7) can be transformed into: Where: P0——pressure value monitored at the most unfavorable point; S——Pipeline impedance (m -5 s 2 ); ρ——medium density; g——acceleration due to gravity; μ——discharge coefficient, related to the pipeline, 0.6~0.65; A——pipeline cross-sectional area; P a ——Pump outlet pressure value; In order to ensure that the pressure at the most unfavorable point is constant, it is necessary to add the corresponding correction coefficient. The energy-saving intelligent control model of water supply equipment with the goal of keeping the pressure at the most unfavorable monitoring point constant is as follows: Where: P0——pressure value monitored at the most unfavorable point; S——Pipeline impedance (m -5 s 2 ); ρ——medium density; g——acceleration due to gravity; μ——discharge coefficient, related to the pipeline, 0.6~0.65; A——pipeline cross-sectional area; P a ——Pump outlet pressure value; P s ——Ideal pressure value at the most unfavorable monitoring point; P0 * ——The most unfavorable pressure value of the monitoring point at the previous moment.

4. A system for setting water-saving intelligent control for water supply equipment, which implements the method for setting water-saving intelligent control for water supply equipment as claimed in any one of claims 1 to 3, characterized in that: include: The data acquisition module is used to collect 30s data of the outlet pressure (P1) of the water supply equipment, the most unfavorable point monitoring pressure (P2), and the outlet instantaneous flow rate (Q1) of the water supply equipment at a collection frequency of 1Hz; Parameter input module, used to input fixed parameters of pipeline; The model calculation module calculates each model coefficient based on the pipeline characteristic curve and determines the electrical power loss and pressure loss of the water pump variable frequency speed regulation; The prediction module, based on the support vector machine algorithm, predicts the outlet pressure value that the water pump needs to reach at the next moment to ensure that the pressure at the most unfavorable point is constant.

5. The water-saving intelligent control system for water supply equipment according to claim 4, characterized in that: The data collected by the data acquisition module include the water outlet pressure (P1) of the water supply equipment, the most unfavorable point monitoring pressure (P2), and the instantaneous flow rate (Q1) at the outlet of the water supply equipment, which are used to calculate the pressure loss and power loss in the pipeline system.

6. The water-saving intelligent control system for water supply equipment according to claim 4, characterized in that: The model calculation module calculates the head (H), pipeline impedance (Z) and pump station flow (Q) based on the pipeline characteristic curve, and obtains the relationship between the most unfavorable point pressure and the pump outlet pressure by minimizing the electrical loss rate.

7. The water-saving intelligent control system for water supply equipment according to claim 4, characterized in that: The prediction module uses the support vector machine algorithm to predict the outlet pressure value of the water pump at the next moment by inputting the monitoring pressure data of the previous moment, and dynamically adjusts the operating state of the water pump to ensure energy saving and stability of water supply pressure.

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