A method, device, system and storage medium for hydraulic balance control of a pipeline network

Abstract

This application discloses a method, device, system, and storage medium for controlling the hydraulic balance of a pipeline network, thereby saving labor costs. The method includes: acquiring pipeline network operating parameters, including valve opening values ​​and pump operating parameters; inputting the pipeline network operating parameters into an offline optimization model to obtain valve opening values ​​and pump operating parameters under the condition that the pipeline network hydraulic balance meets preset requirements; and adjusting the valves and pumps according to the valve opening values ​​and pump operating parameters under the condition that the pipeline network hydraulic balance meets preset requirements. Using the solution provided in this application, no human intervention is required to ensure control effectiveness. Therefore, this application can achieve control of the hydraulic balance of the pipeline network without human intervention, saving labor costs.

Description

Technical Field

[0001] This application relates to the field of refrigeration / heating system control technology, and in particular to a method, device, system and storage medium for hydraulic balance control of a pipeline network. Background Technology

[0002] With the rapid development of the construction industry in recent years, the demand for heating / cooling has gradually increased. Simultaneously, the application of clean energy has led to a continuous increase in the complexity of HVAC systems. In most domestic projects, pricing is based on the area of ​​energy supplied, leaving users with little control over their heating / cooling needs. Users' demands for comfort in heating / cooling are becoming increasingly apparent. For a heating / cooling system, the most direct impact of hydraulic imbalance is uneven heating and cooling for end users, severely restricting the quality of heating / cooling and resulting in significant energy waste. Therefore, from technological innovation to application-driven demands, the hydraulic balance of the pipeline network faces enormous challenges.

[0003] Some countries have begun using computers to analyze the hydraulic conditions of heating networks. Existing methods for hydraulic balance control of heating networks involve simulating loop flow and node pressures in multi-loop networks for hydraulic calculations. However, these methods focus primarily on the early planning and design of the network, relying mainly on system simulation and often using specialized software such as Trnsys and Ansys for offline operations.

[0004] Existing hydraulic balance control methods for pipe networks are mainly based on system simulation of mechanistic models. However, existing simulation technologies cannot completely simulate the actual operation of pipe networks and have certain errors. Therefore, if adjustments are made directly based on simulation results, there will inevitably be adjustment deviations. Thus, existing hydraulic balance control methods for pipe networks still require human intervention to ensure the hydraulic balance effect after adjustment.

[0005] Therefore, it is necessary to provide a method for controlling the hydraulic balance of a pipeline network so as to achieve control of the hydraulic balance of the pipeline network without human intervention, thereby saving labor costs. Summary of the Invention

[0006] This application provides a method, device, system, and storage medium for hydraulic balance control of a pipeline network, in order to save labor costs.

[0007] This application provides a method for hydraulic balance control of a pipeline network, including:

[0008] Obtain pipeline operating parameters including valve opening values ​​and pump operating parameters;

[0009] The pipeline network operation parameters are input into the offline optimization model to obtain the valve opening value and water pump operation parameters when the pipeline hydraulics meet the preset balance requirements;

[0010] Adjust the valves and pumps according to the valve opening value and pump operating parameters under the condition that the hydraulic system of the pipeline network meets the preset balance requirements.

[0011] The beneficial effects of this application are as follows: it can automatically acquire the operating parameters of the pipeline network, and then automatically calculate the valve opening value and pump operating parameters under the condition that the hydraulic system of the pipeline network meets the preset balance requirements based on the operating parameters of the pipeline network. Since the valve opening value and pump operating parameters under the condition that the hydraulic system of the pipeline network meets the preset balance requirements are calculated based on the actual operating parameters of the pipeline network, rather than obtained through simulation, the accuracy of the calculation results is improved. Therefore, by adjusting the valves and pumps according to the valve opening value and pump operating parameters under the condition that the hydraulic system of the pipeline network meets the preset balance requirements, it is possible to ensure that the hydraulic system of the pipeline network meets the preset balance requirements without human intervention to ensure the control effect. Therefore, this application can achieve the control of the hydraulic balance of the pipeline network without human intervention, saving labor costs.

[0012] In one embodiment, obtaining the pipeline operating parameters, including valve opening values ​​and pump operating parameters, includes:

[0013] Obtain preset parameters of the pipeline network, wherein the preset parameters include: supply and return water temperature, pipeline flow rate, pipeline pressure, valve opening degree, and pump operating parameters within the pipeline network;

[0014] The preset parameters are preprocessed to obtain the pipeline network operation parameters.

[0015] In one embodiment, obtaining the preset parameters of the pipeline network includes:

[0016] The system obtains the supply and return water temperature, flow rate, and pressure in the pipeline network using sensors installed within the network, and obtains the valve opening degree and pump operating parameters based on valve opening signals and pump operating parameter signals.

[0017] In one embodiment, preprocessing the preset parameters to obtain the pipeline network operating parameters includes:

[0018] The supply and return water temperatures, flow rates, and pressures in the pipeline network are converted into a three-dimensional structure.

[0019] The valve opening, pump operating parameters, the fitting curve of pump operating frequency versus network flow, the fitting curve of pump operating frequency versus network temperature difference, and the fitting curve of pump operating frequency versus network pressure are added as hydraulic features to the three-dimensional structure to obtain the network operating parameters.

[0020] In one embodiment, inputting the pipeline network operating parameters into an offline optimization model to obtain valve opening values ​​and pump operating parameters under the condition that the pipeline network hydraulics meet preset balance requirements includes:

[0021] Input the pipeline operation parameters, including valve opening values ​​and pump operating parameters, into the offline optimization model;

[0022] Obtain the hydraulic balance information of the pipeline network output by the offline optimization model, wherein the offline optimization model is used to obtain the hydraulic balance information of the pipeline network based on the target parameters of the pipeline network;

[0023] Determine whether the pipeline hydraulic balance information output by the offline optimization model is within a preset range;

[0024] When the hydraulic balance information is within a preset range, the valve opening value and pump operating parameter in the current pipeline operating parameters are determined to be the valve opening value and pump operating parameter under the condition of meeting the preset balance requirements.

[0025] In one embodiment, the method further includes:

[0026] When the hydraulic balance information is not within the preset range, while other target parameters, except for the valve opening value and the pump operating parameters, remain unchanged, the valve opening value and the pump operating parameters in the target parameters are updated and continued to be input into the offline optimization model to obtain the hydraulic balance information output by the offline optimization model, until the hydraulic balance information output by the offline optimization model is within the preset range.

[0027] The valve opening value and pump operating parameters that are within the preset range when the hydraulic balance information output by the offline optimization model are determined to be the valve opening value and pump operating parameters that meet the preset balance requirements.

[0028] In one embodiment, determining whether the network hydraulic balance information output by the offline optimization model is within a preset range includes:

[0029] Obtain the dynamic hydraulic misalignment and hydraulic balance of the pipeline network output by the offline optimization model;

[0030] Determine whether the dynamic hydraulic imbalance of the pipeline network and the hydraulic balance of the pipeline network are both within the preset range;

[0031] When both the dynamic hydraulic misalignment and the hydraulic balance of the pipeline network are within a preset range, it is determined that the hydraulic balance information of the pipeline network output by the offline optimization model is within the preset range.

[0032] When at least one of the dynamic hydraulic misalignment of the pipeline network and the hydraulic balance of the pipeline network is not within a preset range, it is determined that the hydraulic balance information of the pipeline network output by the offline optimization model is not within the preset range.

[0033] This application provides a pipeline hydraulic balance control device, comprising:

[0034] The first acquisition module is used to acquire pipeline operating parameters, including valve opening values ​​and pump operating parameters;

[0035] The second acquisition module is used to input the pipeline network operation parameters into the offline optimization model to obtain the valve opening value and water pump operation parameters when the pipeline network hydraulics meet the preset balance requirements.

[0036] The adjustment module is used to adjust the valve opening value and pump operating parameters according to the preset balance requirements of the pipeline hydraulics.

[0037] In one embodiment, the first acquisition module includes:

[0038] The first acquisition submodule is used to acquire preset parameters of the pipeline network, wherein the preset parameters include: supply and return water temperature in the pipeline network, pipeline flow rate, pipeline pressure, valve opening degree, and water pump operating parameters;

[0039] The preprocessing submodule is used to preprocess the preset parameters to obtain the pipeline operation parameters.

[0040] In one embodiment, the first acquisition submodule is configured to:

[0041] The system obtains the supply and return water temperature, flow rate, and pressure in the pipeline network using sensors installed within the network, and obtains the valve opening degree and pump operating parameters based on valve opening signals and pump operating parameter signals.

[0042] In one embodiment, the preprocessing submodule is configured to:

[0043] The supply and return water temperatures, flow rates, and pressures in the pipeline network are converted into a three-dimensional structure.

[0044] The valve opening, pump operating parameters, the fitting curve of pump operating frequency versus network flow, the fitting curve of pump operating frequency versus network temperature difference, and the fitting curve of pump operating frequency versus network pressure are added as hydraulic features to the three-dimensional structure to obtain the network operating parameters.

[0045] In one embodiment, the second acquisition module includes:

[0046] The input submodule is used to input pipeline operating parameters, including valve opening values ​​and pump operating parameters, into the offline optimization model;

[0047] The second acquisition submodule is used to acquire the network hydraulic balance information output by the offline optimization model, wherein the offline optimization model is used to acquire the network hydraulic balance information according to the network target parameters;

[0048] The judgment submodule is used to determine whether the pipeline hydraulic balance information output by the offline optimization model is within a preset range;

[0049] The determination submodule is used to determine the valve opening value and water pump operating parameters in the current pipeline operating parameters when the hydraulic balance information is within a preset range, so that the valve opening value and water pump operating parameters meet the preset balance requirements.

[0050] In one embodiment, the apparatus further includes:

[0051] The update module is used to update the valve opening value and pump operating parameters in the target parameters when the hydraulic balance information is not within the preset range, while keeping other target parameters except for the valve opening value and pump operating parameters unchanged, and continue to input them into the offline optimization model to obtain the hydraulic balance information output by the offline optimization model until the hydraulic balance information output by the offline optimization model is within the preset range.

[0052] The determination module is used to determine the valve opening value and pump operating parameters when the hydraulic balance information output by the offline optimization model is within a preset range, and to determine the valve opening value and pump operating parameters that meet the preset balance requirements.

[0053] In one embodiment, the determining submodule is used for:

[0054] Obtain the dynamic hydraulic misalignment and hydraulic balance of the pipeline network output by the offline optimization model;

[0055] Determine whether the dynamic hydraulic imbalance of the pipeline network and the hydraulic balance of the pipeline network are both within the preset range;

[0056] When both the dynamic hydraulic misalignment and the hydraulic balance of the pipeline network are within a preset range, it is determined that the hydraulic balance information of the pipeline network output by the offline optimization model is within the preset range.

[0057] When at least one of the dynamic hydraulic misalignment of the pipeline network and the hydraulic balance of the pipeline network is not within a preset range, it is determined that the hydraulic balance information of the pipeline network output by the offline optimization model is not within the preset range.

[0058] This application also provides a pipeline hydraulic balance control system, including:

[0059] At least one processor; and,

[0060] A memory communicatively connected to the at least one processor; wherein,

[0061] The memory stores instructions that can be executed by the at least one processor to implement the pipeline hydraulic balance control method described in any of the above embodiments.

[0062] This application also provides a computer-readable storage medium, which, when the instructions in the storage medium are executed by the processor corresponding to the pipeline hydraulic balance control system, enables the pipeline hydraulic balance control system to implement the pipeline hydraulic balance control method described in any of the above embodiments.

[0063] Other features and advantages of this application will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the application. The objectives and other advantages of this application may be realized and obtained by means of the structures particularly pointed out in the written description, claims, and drawings.

[0064] The technical solution of this application will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0065] The accompanying drawings are provided to further illustrate the present application and form part of the specification. They are used together with the embodiments of the present application to explain the application and do not constitute a limitation thereof. In the drawings:

[0066] Figure 1 This is a flowchart of a pipeline hydraulic balance control method according to an embodiment of this application;

[0067] Figure 2 This is a flowchart of a pipeline hydraulic balance control method according to another embodiment of this application;

[0068] Figure 3 This is an exemplary schematic diagram of converting the supply and return water temperature, flow rate, and pressure in the pipeline network into a three-dimensional structure in one embodiment of this application.

[0069] Figure 4 This is an exemplary schematic diagram illustrating the addition of hydraulic features to a three-dimensional structure to form pipeline network operating parameters in one embodiment of this application;

[0070] Figure 5 This is a block diagram of a pipeline hydraulic balance control device according to an embodiment of this application;

[0071] Figure 6This is a schematic diagram of the hardware structure of a pipeline hydraulic balance control system according to one embodiment of this application. Detailed Implementation

[0072] The preferred embodiments of this application are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit this application.

[0073] Figure 1 This is a flowchart of a pipeline hydraulic balance control method according to an embodiment of this application, such as... Figure 1 As shown, the method can be implemented as follows: S101-S103:

[0074] In step S101, the pipeline operating parameters, including valve opening values ​​and pump operating parameters, are obtained;

[0075] In step S102, the pipeline operation parameters are input into the offline optimization model to obtain the valve opening value and pump operation parameters when the pipeline hydraulics meet the preset balance requirements;

[0076] In step S103, the valves and pumps are adjusted according to the valve opening value and pump operating parameters under the condition that the hydraulic system of the pipeline network meets the preset balance requirements.

[0077] In this application, pipeline operating parameters, including valve opening values ​​and pump operating parameters, are obtained. Specifically, the supply and return water temperatures, flow rates, and pressures in the pipeline network can be obtained from sensors installed within the network. Valve opening and pump operating parameters can be obtained from valve opening signals and pump operating parameter signals. Then, the supply and return water temperatures, flow rates, pressures, valve openings, and pump operating parameters in the pipeline network are preprocessed. The preprocessed supply and return water temperatures, flow rates, pressures, valve openings, and pump operating parameters are the pipeline operating parameters.

[0078] The specific preprocessing process is as follows:

[0079] Figure 3 This is an exemplary schematic diagram illustrating the conversion of supply and return water temperature, flow rate, and pressure in a pipeline network into a three-dimensional structure, as described in this application. Figure 4 This is an exemplary schematic diagram illustrating how valve opening, pump operating parameters, the fitting curve of pump operating frequency versus pipe network flow rate, the fitting curve of pump operating frequency versus pipe network temperature difference, and the fitting curve of pump operating frequency versus pipe network pressure are added as hydraulic features to the three-dimensional structure to form pipe network operating parameters. Figure 3 The method shown categorizes pipeline flow (i.e.,) according to three factors: time, number of node layers, and association weight. Figure 3 The flow rate value shown), and the pipeline pressure (i.e. Figure 3The pressure values ​​shown) and supply and return water temperatures (i.e. Figure 3 The temperature values ​​shown are converted into a three-dimensional structure, recording the flow, pressure, and temperature values ​​in the pipeline network from three dimensions: time, number of node layers, and correlation weights. The correlation weights are pre-calibrated based on the pipeline network topology and follow a normal distribution with the master node 1 as the "origin." The time granularity can be 10 seconds, with a data cluster formed every minute. That is, supply and return water temperatures, pipeline flow, and pipeline pressure are collected every 10 seconds, and every 6 collections form a data cluster. The supply and return water temperatures, pipeline flow, and pipeline pressure in the pipeline network are then converted into a three-dimensional structure as shown below. Figure 3 The three-dimensional structure shown; according to Figure 4 As shown, the valve opening, pump operating parameters, the fitting curves of pump operating frequency and network flow rate, the fitting curves of pump operating frequency and network temperature difference, and the fitting curves of pump operating frequency and network pressure are added as hydraulic features to the three-dimensional structure to obtain the network operating parameters. Since the pump frequency and valve opening have low change frequencies, the time granularity can be set to a longer value, for example, 5 minutes, meaning the pump frequency and valve opening are collected every 5 minutes. Because the pump frequency and valve opening are collected every 5 minutes, five data clusters can be considered as a subset, ensuring that the supply and return water temperatures, network flow rate, and network pressure collected every 5 minutes correspond temporally to the parameters (pump frequency and valve opening) collected every 5 minutes. This method yields the following... Figure 4 The parameters shown are the pre-processed pipeline operating parameters, meaning that in the formation of... Figure 4 Only after obtaining the pipeline network operating parameters shown can they be used as input data into the offline optimization model. By converting the supply and return water temperatures, flow rates, and pressures in the pipeline network into a three-dimensional structure, and by adding the fitting curves of valve opening, pump operating parameters, pump operating frequency and pipeline flow rate, pump operating frequency and pipeline temperature difference, and pump operating frequency and pipeline pressure as hydraulic features to the three-dimensional structure, standard data that is easier for the offline optimization model to read is obtained.

[0080] The pipeline network operating parameters are input into the offline optimization model to obtain the valve opening value and pump operating parameters under the condition that the pipeline hydraulics meet the preset balance requirements.

[0081] Specifically, the pipeline operating parameters, including valve opening values ​​and pump operating parameters, are input into the offline optimization model; the pipeline hydraulic balance information output by the offline optimization model is obtained, wherein the offline optimization model is used to obtain the pipeline hydraulic balance information based on the pipeline target parameters; and it is determined whether the pipeline hydraulic balance information output by the offline optimization model is within a preset range.

[0082] When determining whether the hydraulic balance information of the pipeline network output by the offline optimization model is within a preset range, the dynamic hydraulic misalignment and hydraulic balance degree of the pipeline network output by the offline optimization model are obtained; wherein, the dynamic hydraulic misalignment of the pipeline network can be determined according to the following formula:

[0083] X = QS / QJ;

[0084] Where X represents the dynamic hydraulic outage of the pipeline network, QS represents the actual flow rate, and QJ represents the design required flow rate.

[0085] The hydraulic balance of the pipe network can be determined using the following formula:

[0086] r = QJ / Qmax;

[0087] Where r is the hydraulic balance of the pipeline network, QJ is the design required flow rate, and Qmax is the actual maximum flow rate.

[0088] The system determines whether both the dynamic hydraulic misalignment and the hydraulic balance of the pipeline network are within a preset range. If both are within the preset range, the hydraulic balance information output by the offline optimization model is determined to be within the preset range. If at least one of these two parameters is not within the preset range, the hydraulic balance information output by the offline optimization model is determined to be outside the preset range. Specifically, the preset range for dynamic hydraulic misalignment can be [95%, 99%]. That is, if X is less than 95%, it indicates that the dynamic hydraulic misalignment is not within its corresponding preset range. The preset range for the hydraulic balance of the pipeline network can also be [95%, 99%]. That is, if r is less than 95%, it indicates that the dynamic hydraulic balance is not within its corresponding preset range.

[0089] When the hydraulic balance information is within a preset range, the valve opening value and pump operating parameter in the current pipeline operating parameters are determined to be the valve opening value and pump operating parameter under the condition of meeting the preset balance requirements.

[0090] When the hydraulic balance information is not within the preset range, with all target parameters except valve opening value and pump operating parameters remaining unchanged, the valve opening value and pump operating parameters in the target parameters are updated and continued to be input into the offline optimization model to obtain the hydraulic balance information output by the offline optimization model, until the hydraulic balance information output by the offline optimization model is within the preset range; the valve opening value and pump operating parameters when the hydraulic balance information output by the offline optimization model is within the preset range are determined to be the valve opening value and pump operating parameters that meet the preset balance requirements.

[0091] Adjust the valves and pumps according to the valve opening value and pump operating parameters under the condition that the hydraulic system of the pipeline network meets the preset balance requirements.

[0092] Multiple flow sensors and pressure sensors can be installed in the pipeline network. Specifically, one flow sensor and one pressure sensor can be installed in each pipe to obtain accurate flow and pressure values ​​in each pipe.

[0093] Furthermore, due to the vast number of pipes constituting the pipeline network, the method of placing sensors on each pipe for measurement is not only costly, but the large number of sensors themselves also requires maintenance and repair, resulting in a huge workload and low testing efficiency. Therefore, in this application, a limited number of flow sensors and pressure sensors can be sparsely deployed in the pipeline network. When the pump frequency and valve opening are fixed, the measured flow and pressure values ​​in some specific pipes can be obtained through a limited number of flow sensors and pressure sensors. Then, the impedance values ​​of each pipe in the pipeline network are identified according to the following steps 1-13:

[0094] Step 1: Set the initial impedance value of the pipeline and calculate the corresponding pipeline flow rate using the basic loop method;

[0095] Step 2: Increase the impedance value of a certain pipe by a certain factor (for example, increase it to 5 times), and then use the basic loop method to calculate the corresponding pipe flow rate. Compare the pipe flow rate calculated this time with the pipe flow rate initially calculated to obtain the comparison value of the change in pipe impedance and the change in flow rate of other pipes.

[0096] Step 3: Perform the calculations from Step 2 on each pipe to obtain a comparison value of the flow rate changes in other pipes when the impedance of each pipe changes. For a specific pipe A, the order of other pipes affecting its flow rate can be determined based on the magnitude of the comparison value. That is, the pipe with the higher order has a greater impact on the flow rate of pipe A when its impedance changes. By summarizing and statistically analyzing this data, a (n-1)×(n-1) pipe flow rate influence matrix can be obtained.

[0097] Step 4: Based on steps 2 and 3, a (n-1)×(n-1) pipeline pressure influence matrix can also be obtained. This pressure can be the inlet or outlet pressure of the pipeline. The elements of the flow rate influence matrix are comparative values ​​of the flow rate change in a specific pipeline when the impedance of each pipeline changes. The elements of the pressure influence matrix are comparative values ​​of the pressure change in a specific pipeline when the impedance of each pipeline changes. The elements in the flow rate influence matrix and the pressure influence matrix are arranged sequentially according to the pipeline's serial number in the pipe network.

[0098] Step 5: For a specific operating condition C measured in the actual test, calculate the basic loop valve using the pipeline design impedance to obtain the flow rate and pressure of the pipeline under that operating condition.

[0099] Step 6: For operating condition C, compare the measured values ​​of the pressure or flow measurement points under this condition with the calculated values ​​in step 5 to obtain the corresponding absolute and relative deviations of these pipelines.

[0100] Step 7: Based on the relative deviation obtained in Step 6, if measuring points are arranged on pipe D and its relative deviation has not reached the accuracy range, adjust the impedance of other pipes according to the absolute deviation of the pipe and the comparison value in the influence matrix of the pipe. The adjustment operation is to increase or decrease a certain value. The absolute value of each adjustment is called the step size, and the positive or negative sign is called the direction. The step size can be a fixed value or a variable value. The main content of the adjustment method is the direction. The adjustment methods are: 1. When the comparison value is positive and the absolute deviation is positive: the direction is positive; 2. When the comparison value is positive and the absolute deviation is negative: the direction is negative; 3. When the comparison value is negative and the absolute deviation is positive: the direction is negative; 4. When the comparison value is negative and the absolute deviation is negative: the direction is positive. If the relative deviation of pipe D has reached the accuracy range, then no adjustment is needed for this pipe.

[0101] Step 8: Perform the operation in Step 7 on each pipe with measuring points, adjusting the impedance value of each pipe. If the impedance of a certain pipe is known, no adjustment is needed;

[0102] Step 9: Calculate the adjusted impedance value using the basic loop method to obtain the corresponding flow rate and pressure distribution;

[0103] Step 10: Replace the flow rate and pressure from step 5 with the flow rate and pressure from step 9, and repeat steps 6, 7, 8, and 9 until the relative deviation of each pressure and flow rate measurement point is within the allowable accuracy range. This situation is called calculation convergence under operating condition C;

[0104] Step 11: For the next operating condition, replace the flow pressure in step 5 with the flow pressure obtained in step 10, and repeat steps 6, 7, 8, 9, and 10 until the relative deviation of each pressure and flow measurement point is within the allowable accuracy range.

[0105] Step 12: Repeat step 11 until all other operating conditions have been calculated;

[0106] Step 13: Return to operating condition C in step 6, replace the flow pressure in step 6 with the flow pressure obtained in step 12, and restart steps 6, 7, 8, 9, 10, 11, and 12 until the relative deviation of each pressure and flow measurement point in each operating condition is within the allowable accuracy range.

[0107] In this way, the impedance value of all pipes in the pipeline network can be made infinitely close to the true value, or even consistent with the true value.

[0108] After the impedance is identified, the flow rate and pressure of each pipe corresponding to the identified impedance can be calculated using the basic loop algorithm, thereby obtaining the flow rate and pressure of the entire pipeline network. Since the calculation of flow rate and pressure using the basic loop method is a technique well known to those skilled in the art, it will not be elaborated here.

[0109] The beneficial effects of this application are as follows: it can automatically acquire the operating parameters of the pipeline network, and then automatically calculate the valve opening value and pump operating parameters under the condition that the hydraulic system of the pipeline network meets the preset balance requirements based on the operating parameters of the pipeline network. Since the valve opening value and pump operating parameters under the condition that the hydraulic system of the pipeline network meets the preset balance requirements are calculated based on the actual operating parameters of the pipeline network, rather than obtained through simulation, the accuracy of the calculation results is improved. Therefore, by adjusting the valves and pumps according to the valve opening value and pump operating parameters under the condition that the hydraulic system of the pipeline network meets the preset balance requirements, it is possible to ensure that the hydraulic system of the pipeline network meets the preset balance requirements without human intervention to ensure the control effect. Therefore, this application can achieve the control of the hydraulic balance of the pipeline network without human intervention, saving labor costs.

[0110] In one embodiment, step S101 can be implemented as the following steps S201-S202:

[0111] In step S201, preset parameters of the pipeline network are obtained, including: supply and return water temperature, pipeline flow rate, pipeline pressure, valve opening degree, and water pump operating parameters.

[0112] In step S202, the preset parameters are preprocessed to obtain the pipeline operation parameters.

[0113] In one embodiment, step S201 above can be implemented as the following steps:

[0114] The system obtains the supply and return water temperature, flow rate, and pressure in the pipeline network using sensors installed within the network, and obtains the valve opening degree and pump operating parameters based on valve opening signals and pump operating parameter signals.

[0115] In one embodiment, step S202 above can be implemented as the following steps A1-A2:

[0116] In step A1, the supply and return water temperatures, flow rates, and pressures in the pipeline network are converted into a three-dimensional structure.

[0117] In step A2, the valve opening degree, pump operating parameters, the fitting curve of pump operating frequency and pipeline flow rate, the fitting curve of pump operating frequency and pipeline temperature difference, and the fitting curve of pump operating frequency and pipeline pressure are added as hydraulic features to the three-dimensional structure to obtain the pipeline operating parameters.

[0118] In this application, the specific processing steps for preprocessing the preset parameters to obtain the pipeline operation parameters are as follows:

[0119] Figure 3 This is an exemplary schematic diagram illustrating the conversion of supply and return water temperature, flow rate, and pressure in a pipeline network into a three-dimensional structure, as described in this application. Figure 4 This is an exemplary schematic diagram illustrating how valve opening, pump operating parameters, the fitting curve of pump operating frequency versus pipe network flow rate, the fitting curve of pump operating frequency versus pipe network temperature difference, and the fitting curve of pump operating frequency versus pipe network pressure are added as hydraulic features to the three-dimensional structure to form pipe network operating parameters. Figure 3 The method shown categorizes pipeline flow (i.e.,) according to three factors: time, number of node layers, and association weight. Figure 3 The flow rate value shown), and the pipeline pressure (i.e. Figure 3 The pressure values ​​shown) and supply and return water temperatures (i.e. Figure 3 The temperature values ​​shown are converted into a three-dimensional structure, recording the flow, pressure, and temperature values ​​in the pipeline network from three dimensions: time, number of node layers, and correlation weights. The correlation weights are pre-calibrated based on the pipeline network topology and follow a normal distribution with the master node 1 as the "origin." The time granularity can be 10 seconds, with a data cluster formed every minute. That is, supply and return water temperatures, pipeline flow, and pipeline pressure are collected every 10 seconds, and every 6 collections form a data cluster. The supply and return water temperatures, pipeline flow, and pipeline pressure in the pipeline network are then converted into a three-dimensional structure as shown below. Figure 3 The three-dimensional structure shown; according to Figure 4 As shown, the valve opening, pump operating parameters, the fitting curves of pump operating frequency and network flow rate, the fitting curves of pump operating frequency and network temperature difference, and the fitting curves of pump operating frequency and network pressure are added as hydraulic features to the three-dimensional structure to obtain the network operating parameters. Since the pump frequency and valve opening have low change frequencies, the time granularity can be set to a longer value, for example, 5 minutes, meaning the pump frequency and valve opening are collected every 5 minutes. Because the pump frequency and valve opening are collected every 5 minutes, five data clusters can be considered as a subset, ensuring that the supply and return water temperatures, network flow rate, and network pressure collected every 5 minutes correspond temporally to the parameters (pump frequency and valve opening) collected every 5 minutes. This method yields the following... Figure 4 The parameters shown are the pre-processed pipeline operating parameters, meaning that in the formation of... Figure 4 Only after obtaining the network operation parameters shown can they be used as input data into the offline optimization model. By converting the supply and return water temperatures, flow rates, and pressures of the network into a three-dimensional structure, and by adding the fitting curves of valve opening, pump operation parameters, pump operating frequency versus network flow rate, pump operating frequency versus network temperature difference, and pump operating frequency versus network pressure as hydraulic features to this three-dimensional structure, standard data that is easier for the offline optimization model to read is obtained. The pump operation parameters may include the pump operating frequency and the number of pumps in operation.

[0120] In one embodiment, step S102 above can be implemented as the following steps B1-B4:

[0121] In step B1, the pipeline operation parameters, including valve opening values ​​and pump operating parameters, are input into the offline optimization model;

[0122] In step B2, the hydraulic balance information of the pipeline network output by the offline optimization model is obtained, wherein the offline optimization model is used to obtain the hydraulic balance information of the pipeline network based on the target parameters of the pipeline network;

[0123] In step B3, it is determined whether the network hydraulic balance information output by the offline optimization model is within a preset range;

[0124] In step B4, when the hydraulic balance information is within a preset range, the valve opening value and pump operating parameters in the current pipeline operating parameters are determined to be the valve opening value and pump operating parameters that meet the preset balance requirements.

[0125] In one embodiment, the method may also be implemented as the following steps C1-C2:

[0126] In step C1, when the hydraulic balance information is not within the preset range, while other target parameters except for the valve opening value and the pump operating parameters remain unchanged, the valve opening value and the pump operating parameters in the target parameters are updated and continued to be input into the offline optimization model to obtain the hydraulic balance information output by the offline optimization model until the hydraulic balance information output by the offline optimization model is within the preset range.

[0127] In step C2, the valve opening value and pump operating parameters when the hydraulic balance information output by the offline optimization model is within a preset range are determined to be the valve opening value and pump operating parameters that meet the preset balance requirements.

[0128] In one embodiment, step B3 above can be implemented as the following steps D1-D4:

[0129] In step D1, the dynamic hydraulic misalignment and hydraulic balance of the pipeline network output by the offline optimization model are obtained.

[0130] In step D2, it is determined whether the dynamic hydraulic misalignment of the pipeline network and the hydraulic balance of the pipeline network are both within the preset range;

[0131] In step D3, when the dynamic hydraulic misalignment of the pipeline network and the hydraulic balance of the pipeline network are both within a preset range, it is determined that the hydraulic balance information of the pipeline network output by the offline optimization model is within the preset range.

[0132] In step D4, if at least one of the dynamic hydraulic misalignment of the pipeline network and the hydraulic balance of the pipeline network is not within a preset range, it is determined that the hydraulic balance information of the pipeline network output by the offline optimization model is not within the preset range.

[0133] In this embodiment, when determining whether the hydraulic balance information of the pipeline network output by the offline optimization model is within a preset range, the dynamic hydraulic misalignment and hydraulic balance degree of the pipeline network output by the offline optimization model are obtained; wherein, the dynamic hydraulic misalignment of the pipeline network can be determined according to the following formula:

[0134] X = QS / QJ;

[0135] Where X represents the dynamic hydraulic outage of the pipeline network, QS represents the actual flow rate, and QJ represents the design required flow rate.

[0136] The hydraulic balance of the pipe network can be determined using the following formula:

[0137] r = QJ / Qmax;

[0138] Where r is the hydraulic balance of the pipeline network, QJ is the design required flow rate, and Qmax is the actual maximum flow rate.

[0139] The system determines whether both the dynamic hydraulic misalignment and the hydraulic balance of the pipeline network are within a preset range. If both are within the preset range, the hydraulic balance information output by the offline optimization model is determined to be within the preset range. If at least one of these two parameters is not within the preset range, the hydraulic balance information output by the offline optimization model is determined to be outside the preset range. Specifically, the preset range for dynamic hydraulic misalignment can be [95%, 99%]. That is, if X is less than 95%, it indicates that the dynamic hydraulic misalignment is not within its corresponding preset range. The preset range for the hydraulic balance of the pipeline network can also be [95%, 99%]. That is, if r is less than 95%, it indicates that the dynamic hydraulic balance is not within its corresponding preset range.

[0140] Figure 5 A block diagram of a pipeline hydraulic balance control device provided in this application, such as Figure 5 As shown, it includes:

[0141] The first acquisition module 51 is used to acquire pipeline operating parameters including valve opening values ​​and water pump operating parameters;

[0142] The second acquisition module 52 is used to input the pipeline network operation parameters into the offline optimization model to obtain the valve opening value and water pump operation parameters when the pipeline network hydraulics meet the preset balance requirements.

[0143] The adjustment module 53 is used to adjust the valve and pump based on the valve opening value and pump operating parameters when the hydraulic system of the pipeline meets the preset balance requirements.

[0144] In one embodiment, the first acquisition module includes:

[0145] The first acquisition submodule is used to acquire preset parameters of the pipeline network, wherein the preset parameters include: supply and return water temperature in the pipeline network, pipeline flow rate, pipeline pressure, valve opening degree, and water pump operating parameters;

[0146] The preprocessing submodule is used to preprocess the preset parameters to obtain the pipeline operation parameters.

[0147] In one embodiment, the first acquisition submodule is configured to:

[0148] The system obtains the supply and return water temperature, flow rate, and pressure in the pipeline network using sensors installed within the network, and obtains the valve opening degree and pump operating parameters based on valve opening signals and pump operating parameter signals.

[0149] In one embodiment, the preprocessing submodule is configured to:

[0150] The supply and return water temperatures, flow rates, and pressures in the pipeline network are converted into a three-dimensional structure.

[0151] The valve opening, pump operating parameters, the fitting curve of pump operating frequency versus network flow, the fitting curve of pump operating frequency versus network temperature difference, and the fitting curve of pump operating frequency versus network pressure are added as hydraulic features to the three-dimensional structure to obtain the network operating parameters.

[0152] In one embodiment, the second acquisition module includes:

[0153] The input submodule is used to input pipeline operating parameters, including valve opening values ​​and pump operating parameters, into the offline optimization model;

[0154] The second acquisition submodule is used to acquire the network hydraulic balance information output by the offline optimization model, wherein the offline optimization model is used to acquire the network hydraulic balance information according to the network target parameters;

[0155] The judgment submodule is used to determine whether the pipeline hydraulic balance information output by the offline optimization model is within a preset range;

[0156] The determination submodule is used to determine the valve opening value and water pump operating parameters in the current pipeline operating parameters when the hydraulic balance information is within a preset range, so that the valve opening value and water pump operating parameters meet the preset balance requirements.

[0157] In one embodiment, the apparatus further includes:

[0158] The update module is used to update the valve opening value and pump operating parameters in the target parameters when the hydraulic balance information is not within the preset range, while keeping other target parameters except for the valve opening value and pump operating parameters unchanged, and continue to input them into the offline optimization model to obtain the hydraulic balance information output by the offline optimization model until the hydraulic balance information output by the offline optimization model is within the preset range.

[0159] The determination module is used to determine the valve opening value and pump operating parameters when the hydraulic balance information output by the offline optimization model is within a preset range, and to determine the valve opening value and pump operating parameters that meet the preset balance requirements.

[0160] In one embodiment, the determining submodule is used for:

[0161] Obtain the dynamic hydraulic misalignment and hydraulic balance of the pipeline network output by the offline optimization model;

[0162] Determine whether the dynamic hydraulic imbalance of the pipeline network and the hydraulic balance of the pipeline network are both within the preset range;

[0163] When both the dynamic hydraulic misalignment and the hydraulic balance of the pipeline network are within a preset range, it is determined that the hydraulic balance information of the pipeline network output by the offline optimization model is within the preset range.

[0164] When at least one of the dynamic hydraulic misalignment of the pipeline network and the hydraulic balance of the pipeline network is not within a preset range, it is determined that the hydraulic balance information of the pipeline network output by the offline optimization model is not within the preset range.

[0165] Figure 6 This is a schematic diagram of the hardware structure of a pipeline hydraulic balance control system according to this application, as shown below. Figure 6 As shown, it includes:

[0166] At least one processor 620; and,

[0167] Memory 604 communicatively connected to the at least one processor 620; wherein,

[0168] The memory 604 stores instructions that can be executed by the at least one processor 620 to implement the pipeline hydraulic balance control method described in any of the above embodiments.

[0169] Reference Figure 6 The pipeline hydraulic balance control system 600 may include one or more of the following components: processing component 602, memory 604, power supply component 606, multimedia component 608, audio component 610, input / output (I / O) interface 612, sensor component 614, and communication component 616.

[0170] Processing component 602 typically controls the overall operation of the network hydraulic balance control system 600. Processing component 602 may include one or more processors 620 to execute instructions to complete all or part of the steps of the method described above. Furthermore, processing component 602 may include one or more modules to facilitate interaction between processing component 602 and other components. For example, processing component 602 may include a multimedia module to facilitate interaction between multimedia component 608 and processing component 602.

[0171] Memory 604 is configured to store various types of data to support the operation of the network hydraulic balance control system 600. Examples of this data include instructions for any application or method operating on the network hydraulic balance control system 600, such as text, images, videos, etc. Memory 604 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0172] Power supply component 606 provides power to various components of the network hydraulic balance control system 600. Power supply component 606 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to the on-board control system 600.

[0173] The multimedia component 608 includes a screen that provides an output interface between the network hydraulic balance control system 600 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touchscreen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensors may sense not only the boundaries of touch or swipe actions but also the duration and pressure associated with the touch or swipe operation. In some embodiments, the multimedia component 608 may also include a front-facing camera and / or a rear-facing camera. When the network hydraulic balance control system 600 is in an operating mode, such as a shooting mode or a video mode, the front-facing camera and / or the rear-facing camera may receive external multimedia data. Each front-facing camera and rear-facing camera may be a fixed optical lens system or have focal length and optical zoom capabilities.

[0174] Audio component 610 is configured to output and / or input audio signals. For example, audio component 610 includes a microphone (MIC) configured to receive external audio signals when the network hydraulic balance control system 600 is in an operating mode, such as alarm mode, recording mode, voice recognition mode, and voice output mode. The received audio signals may be further stored in memory 604 or transmitted via communication component 616. In some embodiments, audio component 610 also includes a speaker for outputting audio signals.

[0175] I / O interface 612 provides an interface between processing component 602 and peripheral interface modules, such as keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to, home buttons, volume buttons, power buttons, and lock buttons.

[0176] Sensor assembly 614 includes one or more sensors for providing status assessments of various aspects of the network hydraulic balance control system 600. For example, sensor assembly 614 may include a sound sensor. Additionally, sensor assembly 614 can detect the on / off state of the network hydraulic balance control system 600, the relative positioning of components (e.g., the display and keypad of the network hydraulic balance control system 600), the operating status of the network hydraulic balance control system 600 or its components, the orientation or acceleration / deceleration of the network hydraulic balance control system 600, and temperature changes of the network hydraulic balance control system 600. Sensor assembly 614 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. Sensor assembly 614 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, sensor assembly 614 may also include an accelerometer, a gyroscope, a magnetometer, a pressure sensor, and a temperature sensor.

[0177] Communication component 616 is configured to enable the pipe network hydraulic balance control system 600 to provide wired or wireless communication capabilities with other devices and cloud platforms. The pipe network hydraulic balance control system 600 can access wireless networks based on communication standards, such as WiFi, 2G, or 3G, or combinations thereof. In one exemplary embodiment, communication component 616 receives broadcast signals or broadcast-related information from an external broadcast management system via a broadcast channel. In one exemplary embodiment, communication component 616 also includes a near-field communication (NFC) module to facilitate short-range communication. For example, the NFC module may be implemented based on radio frequency identification (RFID) technology, Infrared Data Association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

[0178] In an exemplary embodiment, the pipeline hydraulic balance control system 600 may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to perform the pipeline hydraulic balance control method described in any of the above embodiments.

[0179] This application also provides a computer-readable storage medium, which, when the instructions in the storage medium are executed by the processor corresponding to the pipeline hydraulic balance control system, enables the pipeline hydraulic balance control system to implement the pipeline hydraulic balance control method described in any of the above embodiments.

[0180] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk storage and optical storage) containing computer-usable program code.

[0181] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0182] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0183] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0184] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of the claims of this application and their equivalents, this application also intends to include such modifications and variations.

Claims

1. A method for hydraulic balance control of a pipe network, characterized in that, include: Obtain pipeline operating parameters including valve opening values ​​and pump operating parameters; The pipeline network operation parameters are input into the offline optimization model to obtain the valve opening value and water pump operation parameters when the pipeline network hydraulics meet the preset balance requirements; Adjust the valves and pumps according to the valve opening values ​​and pump operating parameters under the condition that the hydraulics of the pipeline network meet the preset balance requirements; The acquisition of pipeline operating parameters, including valve opening values ​​and pump operating parameters, includes: Obtain preset parameters of the pipeline network, wherein the preset parameters include: supply and return water temperature, pipeline flow rate, pipeline pressure, valve opening degree, and water pump operating parameters within the pipeline network; The preset parameters are preprocessed to obtain the pipeline network operation parameters; The preprocessing of the preset parameters to obtain the pipeline network operating parameters includes: The supply and return water temperatures, flow rates, and pressures in the pipeline network are converted into a three-dimensional structure. The valve opening, pump operating parameters, the fitting curve of pump operating frequency and pipeline flow rate, the fitting curve of pump operating frequency and pipeline temperature difference, and the fitting curve of pump operating frequency and pipeline pressure are added as hydraulic features to the three-dimensional structure to obtain the pipeline operating parameters. The process of converting the supply and return water temperatures, flow rates, and pressures in the pipeline network into a three-dimensional structure includes: The supply and return water temperatures, flow rates, and pressures in the pipeline network are converted into a three-dimensional structure based on three dimensions: time, number of node layers, and correlation weights. The correlation weights are pre-calibrated according to the topology of the pipeline network.

2. The method as described in claim 1, characterized in that, The acquisition of preset parameters of the pipeline network includes: The system obtains the supply and return water temperature, flow rate, and pressure in the pipeline network using sensors installed within the network, and obtains the valve opening degree and pump operating parameters based on valve opening signals and pump operating parameter signals.

3. The method as described in claim 1, characterized in that, The step of inputting the pipeline network operating parameters into the offline optimization model to obtain the valve opening values ​​and pump operating parameters under the condition that the pipeline network hydraulics meet the preset balance requirements includes: Input the pipeline operation parameters, including valve opening values ​​and pump operating parameters, into the offline optimization model; Obtain the hydraulic balance information of the pipeline network output by the offline optimization model, wherein the offline optimization model is used to obtain the hydraulic balance information of the pipeline network based on the target parameters of the pipeline network; Determine whether the pipeline hydraulic balance information output by the offline optimization model is within a preset range; When the hydraulic balance information is within a preset range, the valve opening value and pump operating parameter in the current pipeline operating parameters are determined to be the valve opening value and pump operating parameter under the condition of meeting the preset balance requirements.

4. The method as described in claim 3, characterized in that, The method further includes: When the hydraulic balance information is not within the preset range, while other target parameters, except for the valve opening value and the pump operating parameters, remain unchanged, the valve opening value and the pump operating parameters in the target parameters are updated and continued to be input into the offline optimization model to obtain the hydraulic balance information output by the offline optimization model, until the hydraulic balance information output by the offline optimization model is within the preset range. The valve opening value and pump operating parameters that are within the preset range when the hydraulic balance information output by the offline optimization model are determined to be the valve opening value and pump operating parameters that meet the preset balance requirements.

5. The method as described in claim 4, characterized in that, The step of determining whether the network hydraulic balance information output by the offline optimization model is within a preset range includes: Obtain the dynamic hydraulic misalignment and hydraulic balance of the pipeline network output by the offline optimization model; Determine whether the dynamic hydraulic imbalance of the pipeline network and the hydraulic balance of the pipeline network are both within the preset range; When both the dynamic hydraulic misalignment and the hydraulic balance of the pipeline network are within a preset range, it is determined that the hydraulic balance information of the pipeline network output by the offline optimization model is within the preset range. When at least one of the dynamic hydraulic misalignment of the pipeline network and the hydraulic balance of the pipeline network is not within a preset range, it is determined that the hydraulic balance information of the pipeline network output by the offline optimization model is not within the preset range.

6. A hydraulic balance control device for a pipe network, characterized in that, include: The first acquisition module is used to acquire pipeline operating parameters, including valve opening values ​​and pump operating parameters; The second acquisition module is used to input the pipeline network operation parameters into the offline optimization model to obtain the valve opening value and water pump operation parameters when the pipeline network hydraulics meet the preset balance requirements. The adjustment module is used to adjust the valve opening value and pump operating parameters according to the preset balance requirements of the pipeline hydraulics. The first acquisition module includes: The first acquisition submodule is used to acquire preset parameters of the pipeline network, wherein the preset parameters include: supply and return water temperature in the pipeline network, pipeline flow rate, pipeline pressure, valve opening degree, and water pump operating parameters; The preprocessing submodule is used to preprocess the preset parameters to obtain the pipeline network operating parameters; The preprocessing submodule is used for: The supply and return water temperatures, flow rates, and pressures in the pipeline network are converted into a three-dimensional structure. The valve opening, pump operating parameters, the fitting curve of pump operating frequency versus network flow, the fitting curve of pump operating frequency versus network temperature difference, and the fitting curve of pump operating frequency versus network pressure are added as hydraulic features to the three-dimensional structure to obtain the network operating parameters.

7. A hydraulic balance control system for a pipe network, characterized in that, include: At least one processor; as well as, A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to implement the pipeline hydraulic balance control method as described in any one of claims 1-5.

8. A computer-readable storage medium, characterized in that, When the instructions in the storage medium are executed by the processor corresponding to the pipeline hydraulic balance control system, the pipeline hydraulic balance control system is able to implement the pipeline hydraulic balance control method as described in any one of claims 1-5.

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