Pipe network leakage analysis method and system based on online hydraulic model

Abstract

The invention relates to a pipe network leakage analysis method and system based on an online hydraulic model, and relates to the technical field of pipe network leakage analysis, and the method comprises the steps: collecting detection flow and detection water flow pressure; comparing the consistency between the detection flow and preset reference flow to calculate a flow deviation value; calculating a difference between the detected water flow pressure and a preset reference pressure as a pressure deviation value; obtaining a detection leakage range through the flow deviation value, the pressure deviation value and a preset hydraulic model; calling a pipe network connection range from the hydraulic model; when the detection leakage range falls into the pipe network connection range, a connection mode is obtained according to the hydraulic model and the detection leakage range; and combining the flow deviation value, the pressure deviation value and the connection mode to obtain an abnormal connection parameter, and uploading the abnormal connection parameter. The pipe network repairing method has the effect of improving the pipe network repairing efficiency.

Description

Technical Field

[0001] This invention relates to the technical field of pipeline network leakage analysis, and in particular to a pipeline network leakage analysis method and system based on an online hydraulic model. Background Technology

[0002] Pipeline leakage analysis is a process that uses monitoring, modeling, and intelligent diagnostic technologies to locate and quantify pipeline leakage in water supply networks.

[0003] In the process of pipeline leakage analysis, leakage management relies on online hydraulic models. By comparing the deviations between simulated and measured values ​​of water pressure and flow rate, online hydraulic models can pinpoint the leakage range to specific pipe sections or nodes and estimate the water volume.

[0004] During pipeline leakage analysis, online hydraulic models can only identify the location of pipeline leakage and estimate the water volume, but cannot analyze the causes of pipeline leakage. This leads to the need to prepare various tools for pipeline repair, reducing the efficiency of pipeline repair. Summary of the Invention

[0005] To improve the efficiency of pipeline repair, this invention provides a pipeline leakage analysis method and system based on an online hydraulic model.

[0006] In a first aspect, the present invention provides a method for analyzing pipeline network leakage based on an online hydraulic model, employing the following technical solution: A method for analyzing pipeline network leakage based on an online hydraulic model, comprising: S10: Collect and detect flow rate and water pressure; S11: Compare the detected flow rate with the preset baseline flow rate to calculate the flow rate deviation value; S12: Calculate the difference between the detected water flow pressure and the preset reference pressure as the pressure deviation value; S13: The leakage range is obtained by using the flow deviation value, pressure deviation value, and preset hydraulic model; S14: Retrieve the network connection range from the hydraulic model; S15: When the detected leakage range falls within the pipeline connection range, the connection method is determined based on the hydraulic model and the detected leakage range; S16: Combine the flow deviation value, pressure deviation value, and connection method to obtain abnormal connection parameters, and upload them as abnormal connection parameters.

[0007] By adopting the above technical solution, abnormal connection parameters are obtained by analyzing the detected flow rate, detected water pressure, and hydraulic model. These abnormal connection parameters are then uploaded, which allows us to understand the cause of leakage in the pipeline network and prepare various tools for repairing the network, thereby improving the efficiency of pipeline network repair.

[0008] Optionally, methods for obtaining abnormal connection parameters include: S20: Determine whether the connection method is the preset loose connection type; S21: When the connection method is not a loose connection type, the detection loss range will be used as an abnormal connection parameter and uploaded as an abnormal connection parameter; S22: When the connection method is a loose connection type, collect the detection vibration parameters of the leakage range; S23: Abnormal connection parameters are obtained by detecting vibration parameters, flow deviation values, pressure deviation values, and connection methods.

[0009] Optionally, methods for obtaining abnormal connection parameters also include: S30: Based on the hydraulic model and connection method, the reference vibration parameters are obtained; S31: Compare the consistency between the detected vibration parameters and the reference vibration parameters to calculate the vibration deviation parameters; S32: Loosening parameters of the connection method are obtained based on vibration deviation parameters; S33: The detected leakage is obtained from the hydraulic model by combining the flow rate deviation value and the pressure deviation value; S34: Obtain abnormal connection parameters based on loosening parameters and detected leakage.

[0010] By adopting the above technical solution, loosening parameters are obtained by detecting vibration parameters and benchmark vibration parameters, and abnormal connection parameters are obtained by detecting leakage through loosening parameters and leakage. This allows for a deeper understanding of the details of pipeline leakage and improves the accuracy of abnormal connection parameters.

[0011] Optional methods for validating abnormal connection parameters include: S40: Based on the loosening parameters and hydraulic model, the loosening leakage volume is obtained; S41: Compare the loose leakage amount with the detected leakage amount to determine whether to use the loose parameter as the abnormal connection parameter or to calculate the leakage deviation. S42: Update the detection range of leakage based on the leakage deviation and hydraulic model; S43: Use the detection leakage range and loosening parameters as abnormal connection parameters.

[0012] Optionally, methods for validating abnormal connection parameters may also include: S50: Connection material for data acquisition connection method; S51: When the connection material is the preset rubber material, the detection pipe is obtained based on the hydraulic model and the detection leakage range; S52: Close the detection pipe to collect the detection water volume; S53: Obtain abnormal connection parameters based on detected water volume, detected leakage volume, and preset detection methods.

[0013] By adopting the above technical solution, the detected water volume and detected leakage volume are analyzed through detection methods to obtain the abnormal connection parameters corresponding to the connection method of the rubber material, thereby enabling the analysis of the leakage causes of other materials corresponding to the leakage location in the pipeline network.

[0014] Optional, preset detection methods include: S60: Heat the detection pipe at a preset marked detection temperature and collect the temperature detection value and the ambient temperature. S61: When the temperature detection value matches the marked detection temperature, stop heating and update the temperature detection value; S62: Obtain the temperature change value by updating the temperature detection values ​​before and after the update; S63: Calculate the difference between the marker detection temperature and the ambient temperature to obtain the ambient deviation temperature; S64: Combine the detected water volume, hydraulic model, detected leakage volume, and ambient temperature deviation to obtain the baseline heat change; S65: Obtain the marked change in heat based on the temperature change value and the detected water volume; S66: Obtain abnormal connection parameters based on the marked change in heat and the baseline change in heat.

[0015] Optional, also includes: S70: Determine whether the marked change in heat is consistent with the baseline change in heat; S71: Duration of data acquisition connection when the marked change in heat is consistent with the baseline change in heat; S72: Aging parameters are obtained based on usage duration; S73: The damaged area is obtained based on the hydraulic model, aging parameters, and the detected leakage, and the aging parameters and the damaged area are used as abnormal connection parameters.

[0016] Optional, also includes: S80: When the marked heat change is inconsistent with the reference heat change, the temperature change value is obtained based on the connection material; S81: The connection method of the detection pipeline is heated by changing the temperature value and the preset detection position, and the reference change in water volume and the damaged area are obtained by changing the temperature value and the connection method. S82: Update the detected water volume to obtain the changed water volume; S83: Compare the consistency of the changed water volume with the baseline changed water volume to select the detection leakage range and the damaged area as anomaly connection parameters, or combine the changed temperature value to obtain the change range; S84: Obtain the marked change in water volume based on the range of change; S85: Based on the marked change in water volume, the change in water volume, and the baseline change in water volume, obtain the damaged area, the connection damaged area, and the connection damaged location, and use the detected leakage range, damaged area, connection damaged area, and connection damaged location as abnormal connection parameters.

[0017] Optionally, methods for determining the baseline flow rate include: S90: Collect historical device parameters and historical flow rates; S91: Update historical traffic based on historical device parameters to obtain changed traffic; S92: Update historical device parameters to obtain changed device parameters; S93: Historical marked flow rates are obtained by varying equipment parameters and hydraulic models; S94: Compare the consistency between the changed flow rate and the historical marked flow rate, and combine the historical flow rate to obtain the baseline flow rate.

[0018] Secondly, this application provides a pipeline network leakage analysis system based on an online hydraulic model, employing the following technical solution: A pipeline network leakage analysis system based on an online hydraulic model includes: The acquisition module is used to acquire the detected flow rate and the detected water pressure; The memory is used to store the program for the pipeline network leakage analysis method based on the online hydraulic model; The processor is used to load and execute programs stored in memory.

[0019] In summary, this application includes at least one of the following beneficial technical effects: 1. By analyzing the detected flow rate, detected water pressure, and hydraulic model, abnormal connection parameters are obtained and uploaded. This allows us to understand the cause of leakage in the pipeline network and prepare various tools for repairing the network, thereby improving the efficiency of pipeline repair. 2. By detecting vibration parameters and benchmark vibration parameters, loosening parameters are obtained. Then, by combining the loosening parameters with the detected leakage, abnormal connection parameters are obtained. This allows for a deeper understanding of the details of pipeline leakage and improves the accuracy of abnormal connection parameters. 3. By analyzing the detected water volume and the detected leakage volume through detection methods, abnormal connection parameters corresponding to the connection method of the rubber material can be obtained, thereby enabling the analysis of the leakage causes of other materials corresponding to the leakage location in the pipeline network. Attached Figure Description

[0020] Figure 1 This is a flowchart of a pipeline leakage analysis method based on an online hydraulic model according to an embodiment of the present invention; Figure 2 This is a flowchart of a method for obtaining abnormal connection parameters according to an embodiment of the present invention. Detailed Implementation

[0021] The present invention will now be described in further detail with reference to the accompanying drawings and embodiments.

[0022] Reference Figure 1 This application discloses a method for analyzing pipeline leakage based on an online hydraulic model, comprising the following steps: S10: Collect and detect flow rate and water pressure.

[0023] Flow rate detection refers to the flow rate within the water supply pipeline, while water pressure detection refers to the pressure of the water flow within the pipeline. The parameters detected by preset flow sensors and pressure sensors can be used as the flow rate and water pressure detection parameters.

[0024] S11: Compare the detected flow rate with the preset baseline flow rate to calculate the flow rate deviation value.

[0025] The reference flow rate refers to the normal flow rate of water in the water supply pipeline, which can be obtained through subsequent analysis methods. The flow deviation value refers to the deviation between the detected flow rate and the reference flow rate. By analyzing the consistency between the detected flow rate and the reference flow rate, when the detected flow rate is inconsistent with the reference flow rate, it indicates that there is leakage in the water supply pipeline. The difference between the detected flow rate and the reference flow rate is then calculated as the flow deviation value.

[0026] S12: Calculate the difference between the detected water flow pressure and the preset reference pressure as the pressure deviation value.

[0027] The reference pressure is the pressure of normal water flow in the water supply pipeline set by technicians. The reference pressure and reference flow rate correspond to each other, and will not be elaborated here. The pressure deviation value refers to the deviation between the detected water flow pressure and the reference pressure. It is calculated as the difference between the detected water flow pressure and the reference pressure.

[0028] S13: The leakage range is obtained by using the flow deviation value, pressure deviation value, and preset hydraulic model.

[0029] A hydraulic model is a three-dimensional virtual data model of water flow within a water supply pipeline, created by technicians. The hydraulic model includes the size of the pipeline and the parameters of the corresponding water-using equipment (faucets, valves, etc.). Technicians import data into a finite element model beforehand to create the hydraulic model.

[0030] The leak detection range refers to the location range of a leak in the water supply pipeline simulated by a hydraulic model. The pipeline with a leak is located by the flow deviation value and pressure deviation value. The flow deviation value and pressure deviation value under various damage conditions are simulated in the hydraulic model. The simulated values ​​(flow deviation value and pressure deviation value) are compared with the measured values ​​(flow deviation value and pressure deviation value). The range of leakage corresponding to the simulated value that matches the measured value is taken as the leak detection range.

[0031] S14: Retrieve the network connection range from the hydraulic model.

[0032] The pipeline connection range refers to the area where the water supply pipeline is connected to other equipment, such as flanges, bolts, sealing rings, and welding. The pipeline connection range is determined by retrieving the area where other equipment is connected from the hydraulic model.

[0033] S15: When the detected leakage range falls within the pipeline connection range, the connection method is determined based on the hydraulic model and the detected leakage range.

[0034] The connection method refers to the specific mechanical connection form used at the connection point of the water supply pipeline. When the detected leakage range falls within the pipeline connection range, it indicates that there are abnormalities such as loosening of other equipment. In this case, the specific mechanical connection form is retrieved from the detected leakage range based on the hydraulic model as the connection method.

[0035] S16: Combine the flow deviation value, pressure deviation value, and connection method to obtain abnormal connection parameters, and upload them as abnormal connection parameters.

[0036] Abnormal connection parameters refer to parameters that indicate other causes of water leakage in the water supply pipeline, such as a flange being 3 turns loose. Abnormal connection parameters are obtained by analyzing flow deviation, pressure deviation, and connection method, and are then uploaded to the terminal held by the operator.

[0037] Methods for obtaining abnormal connection parameters include: S20: Determine whether the connection method is the preset loose connection type.

[0038] Loose connection type refers to connection methods set by technicians that are prone to loosening; therefore, the welding in S14 above is not a loose connection type. By determining whether the connection method is a loose connection type, it is possible to determine whether a loose connection is causing a leak in the water supply pipe.

[0039] S21: When the connection method is not a loose connection type, the detected leakage range will be used as an abnormal connection parameter and uploaded as an abnormal connection parameter.

[0040] If the connection method is not a loose connection type, it means that the connection method is not loose and the water supply pipe is damaged, causing water leakage. In this case, the detected leakage range is directly used as the abnormal connection parameter and the abnormal connection parameter is uploaded to the terminal held by the operator.

[0041] S22: When the connection method is a loose connection type, collect the detection vibration parameters of the leakage range.

[0042] Vibration detection parameters refer to the parameters (vibration frequency and amplitude) of vibration occurring within the detection leakage range. When the connection method is a loose connection type, it indicates that the loose connection is causing water leakage. The vibration frequency and amplitude within the leakage range detected by the preset vibration sensor are then used as the vibration detection parameters.

[0043] S23: Abnormal connection parameters are obtained by detecting vibration parameters, flow deviation values, pressure deviation values, and connection methods.

[0044] Abnormal connection parameters are obtained by analyzing the detected vibration parameters, flow deviation values, pressure deviation values, and connection methods.

[0045] Reference Figure 2 Other methods for obtaining abnormal connection parameters include: S30: Based on the hydraulic model and connection method, the reference vibration parameters are obtained.

[0046] The reference vibration parameters refer to the standard vibration parameters corresponding to different connection states of the hydraulic model during water supply. Vibration simulation is performed using the hydraulic model and the connection methods, and the simulated vibration values ​​corresponding to the normal connection method are used as the reference vibration parameters. The method of vibration simulation using the model is common knowledge to those skilled in the art and will not be elaborated here. In this embodiment, multiple simulated values ​​are integrated with the loosening conditions of the corresponding connection methods to obtain a mapping table.

[0047] S31: Compare the vibration parameters detected with the reference vibration parameters to calculate the vibration deviation parameters.

[0048] Vibration deviation parameter refers to the deviation value between the detected vibration parameter and the reference vibration parameter. By analyzing the consistency between the detected vibration parameter and the reference vibration parameter, when the detected vibration parameter is inconsistent with the reference vibration parameter, it indicates that the connection is loose. The difference between the detected vibration parameter and the reference vibration parameter is then calculated as the vibration deviation parameter.

[0049] S32: Loosening parameters of the connection method are obtained based on vibration deviation parameters.

[0050] Loosening parameters refer to the parameters that indicate a loose connection method under the minimum condition of no leakage. For example, if the flange needs to be rotated 2 turns to make the connection normal, the loosening parameters are matched with the vibration deviation parameters and the connection method from the preset connection reference table.

[0051] Referring to S30, the connection comparison table stores vibration deviation parameters and loosening parameters corresponding to connection methods. The larger the vibration deviation parameter, the larger the loosening parameter. The parameters in the connection comparison table are set in advance by those skilled in the art based on actual conditions, and will not be elaborated here.

[0052] S33: The detected leakage amount is obtained from the hydraulic model by combining the flow deviation value and the pressure deviation value.

[0053] The detected leakage rate refers to the estimated flow rate within the detected leakage range calculated by the hydraulic model. By using flow rate deviation and pressure deviation as input conditions, the online hydraulic model is driven to perform state estimation, thereby calculating the equivalent leakage flow rate within the detected leakage range corresponding to the current hydraulic deviation as the detected leakage rate. The method for state estimation using the online hydraulic model is common knowledge to those skilled in the art and will not be elaborated upon here.

[0054] S34: Obtain abnormal connection parameters based on loosening parameters and detected leakage.

[0055] Abnormal connection parameters are obtained by analyzing the loosening parameters and the detected leakage.

[0056] Methods for verifying abnormal connection parameters include: S40: Based on the loosening parameters and hydraulic model, the loosening leakage amount is obtained.

[0057] Loosening leakage refers to the leakage caused solely by loosening parameters in the connection method. Referring to S33, the loosening parameters are used as input conditions, and the leakage simulated by the hydraulic model is taken as the loosening leakage.

[0058] S41: Compare the loose leakage amount with the detected leakage amount to select the loose parameter as the abnormal connection parameter or calculate the leakage deviation.

[0059] Leakage deviation refers to the deviation between the loose leakage and the detected leakage. By analyzing the consistency between the loose leakage and the detected leakage, when the loose leakage and the detected leakage are consistent, it indicates that the leakage in the water supply pipe is caused only by the loose parameters of the connection method. In this case, the loose parameters are regarded as abnormal connection parameters.

[0060] When the amount of loose leakage is inconsistent with the amount of detected leakage, it indicates that there is a loose parameter in the connection method and there is also damage to the water supply pipe causing leakage. The difference between the amount of loose leakage and the amount of detected leakage is then calculated as the leakage deviation.

[0061] S42: Update the detection range of leakage based on the leakage deviation and hydraulic model.

[0062] The hydraulic model is re-simulated using the leakage deviation to obtain a new detection range for leakage.

[0063] S43: Use the detection leakage range and loosening parameters as abnormal connection parameters.

[0064] The detection range of leakage and the loosening parameters are used as abnormal connection parameters.

[0065] Methods for verifying abnormal connection parameters also include: S50: Connection material for data acquisition connection method.

[0066] The connection material refers to the material used in the connection method, which can be obtained through pre-input by the operator.

[0067] S51: When the connection material is the preset rubber material, the detection pipe is obtained based on the hydraulic model and the detection leakage range.

[0068] The connection material is set to rubber by the technicians. If the connection material is the preset rubber material, it indicates that the connection material itself is damaged. In this case, based on the hydraulic model, the upstream and downstream pipe sections associated with the leak detection area will be selected as the pipelines to be inspected.

[0069] S52: Close the detection pipe to collect the detection water volume.

[0070] Close the valves at both ends of the test pipeline to form an independent, closed pipe section. After closure, measure the static water volume within this pipe section as the test water volume.

[0071] S53: Obtain abnormal connection parameters based on detected water volume, detected leakage volume, and preset detection methods.

[0072] The detection method is a set of parameters designed by technicians to detect abnormal connections in rubber-material water supply pipes. Abnormal connection parameters are obtained by analyzing the detected water volume, leakage volume, and detection method.

[0073] The preset detection methods include: S60: Heat the detection pipeline at a preset marked detection temperature and collect the temperature detection value and the ambient temperature.

[0074] The marked detection temperature is the temperature value set by the technicians to heat the water inside the detection pipeline.

[0075] The temperature reading refers to the temperature of the water inside the pipe after heating, while the ambient temperature refers to the ambient temperature around the pipe.

[0076] A semiconductor temperature control device is used to heat the detection pipe, and the temperature is measured by a temperature sensor pre-installed in the detection pipe. The ambient temperature around the detection pipe is measured by an environmental sensor.

[0077] S61: When the temperature detection value matches the marked detection temperature, stop heating and update the temperature detection value.

[0078] When the temperature reading matches the marked temperature, it indicates that the water in the detection pipe has been heated. Heating should then be stopped and the temperature readings should be collected again.

[0079] S62: Obtain the temperature change value by analyzing the temperature readings before and after the update.

[0080] The temperature change value refers to the change in temperature of the water in the detection pipe after heating of the detection pipe is stopped. The temperature change value is calculated by the difference between the temperature detection values ​​before and after the update.

[0081] S63: Calculate the difference between the marked detection temperature and the ambient temperature to obtain the ambient deviation temperature.

[0082] Ambient deviation temperature refers to the deviation between the marked detection temperature and the surrounding ambient temperature. It is obtained by calculating the difference between the marked detection temperature and the surrounding ambient temperature.

[0083] S64: Combine the detected water volume, hydraulic model, detected leakage volume, and ambient temperature deviation to obtain the baseline heat change.

[0084] The baseline heat change refers to the heat lost under normal water supply pipeline conditions. It is obtained through comprehensive thermodynamic simulation of the detected water volume, hydraulic model, detected leakage volume, and ambient temperature deviation, serving as the baseline heat change. Thermodynamic simulation is common knowledge to those skilled in the art and will not be elaborated upon here.

[0085] S65: The marked change in heat is obtained based on the temperature change value and the detected water volume.

[0086] The labeled heat change refers to the actual heat loss of the water in the pipeline during that time period, calculated by combining the actual temperature change value with the detected water volume and the specific heat capacity of water.

[0087] S66: Obtain abnormal connection parameters based on the marked change in heat and the baseline change in heat.

[0088] Abnormal connection parameters are obtained by analyzing the marked change in heat and the baseline change in heat.

[0089] Also includes: S70: Determine whether the marked change in heat is consistent with the baseline change in heat.

[0090] By determining whether the change in heat indicated by the mark is consistent with the change in heat indicated by the baseline, it can be determined whether the damage is to the connection method or the water supply pipe.

[0091] S71: Duration of data acquisition connection when the marked change in heat is consistent with the baseline change in heat.

[0092] Usage duration refers to the length of time a connection method is used. When the marked change in heat is consistent with the baseline change in heat, it indicates that the sealing ring is not damaged but has aged, leading to changes in water leakage. From the pipeline asset management system or historical maintenance records, find the installation date of this connection method (such as the sealing ring number) or the date of the last seal replacement. Subtract that date from the current time to obtain the usage duration.

[0093] S72: Aging parameters are obtained based on usage time.

[0094] Aging parameters refer to parameters indicating aging of the connection method (such as the elasticity of rubber sealing rings). The aging parameters of the connection method are matched from a preset aging reference table based on the usage time.

[0095] The aging comparison table stores aging parameters for different usage durations corresponding to different connection methods. The longer the usage duration, the higher the aging parameters for the connection method. The parameters in the aging comparison table are set in advance by those skilled in the art based on actual conditions, and will not be elaborated here.

[0096] S73: The damaged area is obtained based on the hydraulic model, aging parameters, and the detected leakage, and the aging parameters and the damaged area are used as abnormal connection parameters.

[0097] Damaged area refers to the area of ​​the water supply pipe that has been damaged and is leaking. The damaged area is simulated by using a hydraulic model and the aging parameters corresponding to the detected leakage and connection method. The aging parameters and the damaged area are used as abnormal connection parameters.

[0098] Also includes: S80: When the marked heat change is inconsistent with the reference heat change, the temperature change value is obtained based on the connection material.

[0099] The variable temperature value refers to the temperature required for the connecting material to undergo a change (thermal expansion and contraction). When the marked variable temperature value is inconsistent with the baseline variable temperature value, it indicates that the sealing ring is damaged, leading to a change in the amount of water leakage. In this case, the variable temperature value should be matched with the connecting material from the connection reference table.

[0100] The connection reference table stores the temperature variation values ​​corresponding to different connection materials. The parameters in the connection reference table are set in advance by those skilled in the art based on actual conditions, and will not be elaborated here.

[0101] S81: The connection method of the detection pipeline is heated by changing the temperature value and the preset detection position, and the reference change in water volume and the damaged area are obtained by changing the temperature value and the connection method.

[0102] The detection location is a position set by technicians to heat the part of the pipeline corresponding to the connection method being tested. In this embodiment, the detection location is below the water supply pipeline, that is, below the connection method.

[0103] The baseline water change refers to the change in water volume in the detection pipe after the connection method is not heated. The connection method of the detection pipe is heated by a movable (guide rail) semiconductor temperature control device that controls the temperature change value and the detection position. By substituting the temperature change value and the connection method into the hydraulic model, the theoretical change value of the leakage under this specific thermal disturbance can be simulated and calculated as the baseline water change. The damaged area of ​​the water supply pipe is simulated by referring to the S73 hydraulic model, the detected leakage volume, and the changes of the connection method under the temperature change.

[0104] In this embodiment, when using the heating connection method, if the connection method is not damaged, thermal expansion will theoretically reduce the amount of water leakage. If the connection method is damaged, the area of ​​thermal expansion will reduce the amount of damage to the connection method, thereby further reducing the amount of water leakage under theoretical conditions.

[0105] S82: Update the detected water volume to obtain the changed water volume.

[0106] The variable water volume refers to the amount of water that leaks continuously when the pipe is closed. The variable water volume is calculated as the difference between the measured water volume before and after the update.

[0107] S83: Compare the consistency between the changed water volume and the baseline changed water volume to select the detection leakage range and damage area as abnormal connection parameters, or combine the changed temperature value to obtain the change range.

[0108] By analyzing the change in water volume and the baseline change in water volume, if the change in water volume is consistent with the baseline change in water volume, it indicates that the connection method is not damaged. In this case, the detection range of leakage and the damaged area are used as abnormal connection parameters.

[0109] When the change in water volume is inconsistent with the reference change in water volume, it indicates that the connection method is damaged. First, calculate the difference between the change in water volume and the reference change in water volume as the deviation water volume. Then, use the deviation water volume and the change in temperature value to simulate the connection method using a hydraulic model to obtain the range of change of the damaged area when damage occurs at each location as the range of change.

[0110] S84: Obtain the marked change in water volume based on the range of change.

[0111] The marked change in water volume refers to the amount of leakage that can be reduced by the change range at each location. Referring to S83, the change in the water volume detected in the pipeline is simulated for each change range, and the simulated change in water volume is used as the marked change in water volume.

[0112] S85: Based on the marked change in water volume, the change in water volume, and the baseline change in water volume, obtain the damaged area, the connection damaged area, and the connection damaged location, and use the detected leakage range, damaged area, connection damaged area, and connection damaged location as abnormal connection parameters.

[0113] The broken area refers to the area where the connection is damaged, and the broken location refers to the location where the connection is damaged. The difference between the changed water volume and the baseline changed water volume is calculated as the deviation water volume. The area corresponding to the marked changed water volume, consistent with the deviation water volume, is used to simulate the damaged area when the connection is damaged. The area and location retrieved from this damaged area are used as the broken area and location of the connection. Since the broken area is known, the area of ​​damage to the water supply pipe is simulated in reverse based on the broken area of ​​the hydraulic model and the connection method, and this is used as the broken area. The detected leakage range, broken area, broken area, and broken location are used as abnormal connection parameters.

[0114] Methods for determining the baseline flow rate include: S90: Collect historical device parameters and historical flow.

[0115] Historical equipment parameters refer to the equipment parameters that drive the water flow in the water supply pipeline, such as the power of the water pump, the number of pumps in operation, and the opening angle of the valves. These parameters can be retrieved from the hydraulic model.

[0116] Historical flow refers to the historical flow rate detected in the water supply pipeline. It can be obtained by using the flow rate detected by the flow sensor between the current time and the historical flow rate. The historical flow rate corresponds one-to-one with the acquisition time of the historical equipment parameters.

[0117] S91: Update historical traffic based on historical device parameters to obtain changed traffic.

[0118] Variable flow refers to the flow that changes when historical device parameters are in operation. When historical device parameters are in operation, the historical flow of the corresponding time series is retrieved, and the difference between the historical flow and the updated historical flow (when historical device parameters are in operation) is calculated as the variable flow.

[0119] S92: Update historical device parameters to obtain changed device parameters.

[0120] Changed equipment parameters refer to parameters that change when the equipment is running or being adjusted, such as power changes or changes in the number of units in operation. By re-collecting historical equipment parameters and comparing them before and after the update, the parameters that deviate are identified as changed equipment parameters.

[0121] S93: Historical marked flow rates are obtained by changing equipment parameters and hydraulic models.

[0122] Historical marked flow refers to the baseline parameter that shows changes in water flow in the water supply pipeline when the equipment is running or being adjusted. By changing the equipment parameters and simulating the hydraulic model, the simulated changes in water flow in the pipeline are used as historical marked flow.

[0123] S94: Compare the consistency between the changed flow rate and the historical marked flow rate, and combine the historical flow rate to obtain the baseline flow rate.

[0124] By analyzing the consistency between the variable flow rate and the historical marked flow rate, the historical flow rate of the variable flow rate and the historical marked flow rate are used as the reference flow rate of the pipeline corresponding to the historical equipment parameters.

[0125] Based on the same inventive concept, embodiments of the present invention provide a pipeline network leakage analysis system based on an online hydraulic model, comprising: The acquisition module is used to acquire the detected flow rate, detected water pressure, detected vibration parameters, connection material, detected water volume, temperature detection value, ambient temperature, usage time, historical equipment parameters, and historical flow rate. The memory is used to store the program for the pipeline network leakage analysis method based on the online hydraulic model; The processor is used to load and execute programs stored in memory.

[0126] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0127] The above description is merely a preferred embodiment of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the scope of protection of the present invention. It should be noted that for those skilled in the art, any improvements and modifications made without departing from the principles of the present invention should also be considered within the scope of protection of the present invention.

Claims

1. A method for analyzing pipeline network leakage based on an online hydraulic model, characterized in that, include: S10: Collect and detect flow rate and water pressure; S11: Compare the detected flow rate with the preset baseline flow rate to calculate the flow rate deviation value; S12: Calculate the difference between the detected water flow pressure and the preset reference pressure as the pressure deviation value; S13: The leakage range is obtained by using the flow deviation value, pressure deviation value, and preset hydraulic model; S14: Retrieve the network connection range from the hydraulic model; S15: When the detected leakage range falls within the pipeline connection range, the connection method is determined based on the hydraulic model and the detected leakage range; S16: Combine the flow deviation value, pressure deviation value, and connection method to obtain abnormal connection parameters, and upload them as abnormal connection parameters.

2. The pipeline leakage analysis method based on an online hydraulic model according to claim 1, characterized in that, Methods for obtaining abnormal connection parameters include: S20: Determine whether the connection method is the preset loose connection type; S21: When the connection method is not a loose connection type, the detection loss range will be used as an abnormal connection parameter and uploaded as an abnormal connection parameter; S22: When the connection method is a loose connection type, collect the detection vibration parameters of the leakage range; S23: Abnormal connection parameters are obtained by detecting vibration parameters, flow deviation values, pressure deviation values, and connection methods.

3. The pipeline leakage analysis method based on an online hydraulic model according to claim 2, characterized in that, Other methods for obtaining abnormal connection parameters include: S30: Based on the hydraulic model and connection method, the reference vibration parameters are obtained; S31: Compare the consistency between the detected vibration parameters and the reference vibration parameters to calculate the vibration deviation parameters; S32: Loosening parameters of the connection method are obtained based on vibration deviation parameters; S33: The detected leakage is obtained from the hydraulic model by combining the flow rate deviation value and the pressure deviation value; S34: Obtain abnormal connection parameters based on loosening parameters and detected leakage.

4. The pipeline leakage analysis method based on an online hydraulic model according to claim 3, characterized in that, Methods for verifying abnormal connection parameters include: S40: Based on the loosening parameters and hydraulic model, the loosening leakage volume is obtained; S41: Compare the loose leakage amount with the detected leakage amount to determine whether to use the loose parameter as the abnormal connection parameter or to calculate the leakage deviation. S42: Update the detection range of leakage based on the leakage deviation and hydraulic model; S43: Use the detection leakage range and loosening parameters as abnormal connection parameters.

5. The pipeline leakage analysis method based on an online hydraulic model according to claim 4, characterized in that, Methods for verifying abnormal connection parameters also include: S50: Connection material for data acquisition connection method; S51: When the connection material is the preset rubber material, the detection pipe is obtained based on the hydraulic model and the detection leakage range; S52: Close the detection pipe to collect the detection water volume; S53: Obtain abnormal connection parameters based on detected water volume, detected leakage volume, and preset detection methods.

6. The pipeline leakage analysis method based on an online hydraulic model according to claim 5, characterized in that, The preset detection methods include: S60: Heat the detection pipe at a preset marked detection temperature and collect the temperature detection value and the ambient temperature. S61: When the temperature detection value matches the marked detection temperature, stop heating and update the temperature detection value; S62: Obtain the temperature change value by updating the temperature detection values ​​before and after the update; S63: Calculate the difference between the marker detection temperature and the ambient temperature to obtain the ambient deviation temperature; S64: Combine the detected water volume, hydraulic model, detected leakage volume, and ambient temperature deviation to obtain the baseline heat change; S65: Obtain the marked change in heat based on the temperature change value and the detected water volume; S66: Obtain abnormal connection parameters based on the marked change in heat and the baseline change in heat.

7. The pipeline leakage analysis method based on an online hydraulic model according to claim 6, characterized in that, Also includes: S70: Determine whether the marked change in heat is consistent with the baseline change in heat; S71: Duration of data acquisition connection when the marked change in heat is consistent with the baseline change in heat; S72: Aging parameters are obtained based on usage duration; S73: The damaged area is obtained based on the hydraulic model, aging parameters, and the detected leakage, and the aging parameters and the damaged area are used as abnormal connection parameters.

8. The pipeline leakage analysis method based on an online hydraulic model according to claim 7, characterized in that, Also includes: S80: When the marked heat change is inconsistent with the reference heat change, the temperature change value is obtained based on the connection material; S81: The connection method of the detection pipeline is heated by changing the temperature value and the preset detection position, and the reference change in water volume and the damaged area are obtained by changing the temperature value and the connection method. S82: Update the detected water volume to obtain the changed water volume; S83: Compare the consistency of the changed water volume with the baseline changed water volume to select the detection leakage range and the damaged area as anomaly connection parameters, or combine the changed temperature value to obtain the change range; S84: Obtain the marked change in water volume based on the range of change; S85: Based on the marked change in water volume, the change in water volume, and the baseline change in water volume, obtain the damaged area, the connection damaged area, and the connection damaged location, and use the detected leakage range, damaged area, connection damaged area, and connection damaged location as abnormal connection parameters.

9. The pipeline leakage analysis method based on an online hydraulic model according to claim 1, characterized in that, Methods for determining the baseline flow rate include: S90: Collect historical device parameters and historical flow rates; S91: Update historical traffic based on historical device parameters to obtain changed traffic; S92: Update historical device parameters to obtain changed device parameters; S93: Historical marked flow rates are obtained by varying equipment parameters and hydraulic models; S94: Compare the consistency between the changed flow rate and the historical marked flow rate, and combine the historical flow rate to obtain the baseline flow rate.

10. A pipeline network leakage analysis system based on an online hydraulic model, characterized in that, include: The acquisition module is used to acquire the detected flow rate and the detected water pressure; A memory for storing programs that implement the pipeline network leakage analysis method based on an online hydraulic model as described in any one of claims 1 to 9; The processor is used to load and execute programs stored in memory.

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