A pipe network management system based on water sound monitoring

Abstract

The present invention relates to the technical field of pipe network monitoring, and in particular to a pipe network management system based on water sound monitoring, comprising: a data acquisition unit for collecting pipe network data and water sound data; a regional division unit for determining the regional division method of the pipe network area according to analysis conditions; a monitoring judgment unit for determining the regional type of the pipe network area according to a pressure shear value and an estimated variation coefficient, and determining the water sound monitoring point setting method according to the regional type; a setting optimization unit for determining the setting optimization method according to the judgment conditions; a troubleshooting analysis unit for determining the pipe network state according to the number of abnormal monitoring points and the distribution coefficient of the abnormal monitoring points, and determining the troubleshooting method according to the pipe network state; a troubleshooting optimization unit for determining the processing method of the area to be checked according to the regional influence coefficient; the present invention can accurately monitor leakage points in a heating pipe network.

Description

Technical Field

[0001] The present invention relates to the technical field of pipe network monitoring, and in particular to a pipe network management system based on water sound monitoring. Background Art

[0002] As an important part of the urban heating system, the safe and stable operation of the heating network is crucial to ensure that residents have a warm winter. However, due to the influence of various factors, such as natural aging, poor construction quality, geological changes, etc., the heating network may have leakage problems. However, due to the complex layout of the pipeline network and the long distance between the valve wells of the main network, the monitoring means are limited and it is impossible to detect and locate the leakage point in time. Once a leakage occurs, it will not only cause energy waste, but also may affect the heating quality and even threaten the surrounding environment and the safety of residents. Therefore, how to effectively and accurately monitor the leakage points in the heating network is a technical problem that technicians in this field need to solve urgently.

[0003] Chinese patent publication number CN106870955A discloses a monitoring point optimization arrangement method for inverting water demand at water supply network nodes, including: (1) selecting a reference working condition to perform network adjustment, obtaining node pressure and pipe flow, obtaining a pressure sensitivity matrix, and creating a pressure influence coefficient matrix; (2) using the monitoring values ​​of existing monitoring points to invert node water demand, obtain node pressure and pipe flow by adjustment, and create an error matrix; (3) multiplying the pressure influence coefficient matrix with the pressure error matrix, setting the node corresponding to the maximum element of the product as a new pressure monitoring point, and setting the pipe section corresponding to the maximum element of the flow error matrix as a new flow monitoring point; (4) terminating the iteration when the number of monitoring points reaches the upper limit, otherwise returning to step (2) to continue calculation and increase monitoring points. It can be seen that the above technical solution has the following problems: only based on the node pressure and pipe flow to set the monitoring point, it is impossible to adaptively adjust the location of the monitoring point according to the actual characteristics of the pipe network, resulting in poor monitoring effect of the leakage point of the pipe network. Summary of the invention

[0004] To this end, the present invention provides a pipe network management system based on water sound monitoring, which is used to overcome the problem that the setting method of the monitoring point location in the prior art is single and the monitoring point location cannot be adaptively adjusted according to the actual characteristics of the pipe network, resulting in poor monitoring effect of the pipe network leakage point.

[0005] To achieve the above object, the present invention provides a pipe network management system based on water sound monitoring, comprising:

[0006] Data collection unit, used to collect pipe network data and water sound data;

[0007] A region division unit connected to the data acquisition unit is used to determine a region division method of the pipe network area according to the analysis conditions, wherein the region division method is to perform associated division according to a distance reference value and an associated factor, or to perform uniform division according to an evaluation coefficient;

[0008] A monitoring and determination unit, which is connected to the data acquisition unit and the area division unit respectively, and is used to determine the area type of the pipe network area according to the pressure shear value and the estimated variation coefficient, and determine the water sound monitoring point setting method according to the area type, and the water sound monitoring point setting method is to determine the setting optimization method according to the determination conditions, or to set the water sound monitoring point according to the node connectivity;

[0009] An optimization unit is set, which is connected to the monitoring and determination unit, and is used to determine, according to the determination condition, whether to set a water sound monitoring point for a node corresponding to a redundant sub-area according to a redundancy threshold, or to set a water sound monitoring point according to a node influence coefficient;

[0010] An investigation and analysis unit, which is respectively connected to the data acquisition unit, the monitoring and determination unit and the setting optimization unit, and is used to determine the state of the pipe network according to the number of abnormal monitoring points and the distribution coefficient of the abnormal monitoring points, and determine the investigation method according to the state of the pipe network, the investigation method is to determine the processing method of the area to be investigated according to the regional influence coefficient, or to determine the investigation priority coefficient of the abnormal monitoring point according to the abnormal coefficient;

[0011] The investigation optimization unit is respectively connected to the data acquisition unit and the investigation analysis unit, and is used to determine the processing method of the area to be investigated according to the regional influence coefficient. The processing method is to determine whether to investigate the area to be investigated according to the difference in influence ratio, or to determine the investigation point of the area to be investigated according to the similarity of the wave distance ratio and the anomaly coefficient.

[0012] Further, the area division unit responds to the analysis conditions to determine the area division method of the pipe network area;

[0013] The analysis condition of the regional division unit response is that the node radiation coefficient is greater than or equal to the preset node radiation coefficient or the heat source influence threshold is less than the preset heat source influence threshold, and the regional division method is to perform associated division according to the distance reference value and the associated factor;

[0014] In the association division, the association node combination is determined according to the distance reference value and the association factor, and the smallest rectangular area that can contain each node in a single association node combination is recorded as a pipe network area.

[0015] Furthermore, the monitoring and determination unit determines the area type of the pipe network area according to the pressure shear value and the estimated variation coefficient, and the area type includes:

[0016] A type of area where the pressure shear value is greater than or equal to the preset pressure shear value or the estimated coefficient of variation is greater than or equal to the preset estimated coefficient of variation;

[0017] The second type of area is where the pressure shear value is less than the preset pressure shear value and the estimated coefficient of variation is less than the preset estimated coefficient of variation.

[0018] Furthermore, the monitoring and determination unit is used to determine the water sound monitoring point setting method according to the area type;

[0019] The monitoring and judging unit executes a water sound monitoring point setting method corresponding to a type of area and determines a setting optimization method according to a judging condition;

[0020] The monitoring and judging unit executes a water sound monitoring point setting method for setting water sound monitoring points according to node connectivity corresponding to the second type of area.

[0021] Further, the setting optimization unit responds to the determination condition to determine the setting optimization mode;

[0022] The judgment condition for the response of the optimization unit is set to be that the number of redundant nodes is greater than or equal to the preset number of redundant nodes and the sub-region domain variation value is less than the preset sub-region domain variation value, and the optimization method is set to determine whether to set a water sound monitoring point for the redundant node according to the redundancy threshold;

[0023] The judgment condition for setting the optimized unit response is that the number of redundant nodes is less than the preset number of redundant nodes or the sub-region domain variation value is greater than or equal to the preset sub-region domain variation value, and the optimization method is set to set the water sound monitoring point according to the node influence coefficient.

[0024] Furthermore, the setting optimization unit sets the water sound monitoring point according to the node influence coefficient, including:

[0025] Each pipeline section is divided for detection. When a single pipeline section is divided for detection, the pipeline section is recorded as the target pipeline section. When the node influence coefficient of the two nodes corresponding to the target pipeline section is less than the preset node influence coefficient, a preset number of equal division points are evenly set, and water sound monitoring points are set at each equal division point and the two nodes corresponding to the target pipeline section;

[0026] The preset equal division number is negatively correlated with the node influence coefficient.

[0027] Furthermore, the investigation and analysis unit determines the status of the pipe network according to the number of abnormal monitoring points and the distribution coefficient of the abnormal monitoring points. The status of the pipe network includes:

[0028] A first pipe network state in which the number of abnormal monitoring points is greater than or equal to the preset number of abnormal monitoring points or the distribution coefficient of the abnormal monitoring points is less than the preset distribution coefficient of the abnormal monitoring points;

[0029] A second pipe network state in which the number of abnormal monitoring points is less than a preset number of abnormal monitoring points and the distribution coefficient of the abnormal monitoring points is greater than or equal to the preset distribution coefficient of the abnormal monitoring points.

[0030] Further, the troubleshooting analysis unit responds to the pipe network status to determine the troubleshooting method;

[0031] The investigation and analysis unit responds to the first pipe network state, and the investigation method is to determine the processing method of the area to be investigated according to the regional influence coefficient;

[0032] The troubleshooting analysis unit responds to the second pipe network status, and the troubleshooting method is to determine the troubleshooting priority coefficient of the abnormal monitoring point according to the abnormal coefficient;

[0033] The abnormality coefficient is positively correlated with the screening priority coefficient of the abnormal monitoring point.

[0034] Furthermore, the troubleshooting and analysis unit determines an abnormality coefficient according to the flow change value;

[0035] If the flow change value is greater than or equal to the preset flow change value, the abnormal coefficient is determined according to the noise mean and the frequency-flow correlation value;

[0036] If the flow change value is less than the preset flow change value, the abnormal coefficient is determined according to the noise mean and noise fluctuation value.

[0037] Furthermore, the screening optimization unit determines a processing method for the area to be screened according to the regional impact coefficient;

[0038] If the regional influence coefficient is greater than or equal to the preset regional influence coefficient, the processing method is to determine whether to conduct an investigation on the area to be investigated according to the difference in influence ratios. When the difference in influence ratios of a single area to be investigated is less than the preset difference in influence ratios, the abnormal monitoring points in the area to be investigated are investigated.

[0039] If the regional influence coefficient is less than the preset regional influence coefficient, the processing method is to determine the inspection points of the area to be inspected according to the wavelength ratio similarity and the anomaly coefficient, among which the abnormal monitoring points whose wavelength ratio difference is less than the preset wavelength ratio difference and the anomaly coefficient is greater than the preset anomaly coefficient are inspected.

[0040] Compared with the prior art, the beneficial effect of the present invention lies in that, in the technical scheme of the present invention, the heat source influence of the heating network and the distribution of nodes are effectively reflected through analysis conditions, and then the regional division method of different network areas is adaptively selected according to the analysis conditions, so that the determination of the regional division method is more in line with the actual application scenario, avoiding the problem that the set water sound monitoring points cannot meet the early warning effect due to unreasonable regional division, and thus being able to timely discover and locate leakage points, thereby improving leak detection efficiency.

[0041] Furthermore, the present invention effectively reflects the pressure changes of nodes in the pipeline area and the probability of leakage in the pipeline area through the pressure shear value and the estimated variation coefficient, and then determines the regional type of the pipeline area according to the pressure shear value and the estimated variation coefficient, and then selects different water sound monitoring point setting methods according to the regional type, so that the determination of the water sound monitoring point setting method is more in line with the actual application scenario, thereby improving the accuracy and efficiency of pipeline network monitoring.

[0042] Furthermore, the present invention effectively reflects the number of redundant nodes and the degree of influence of each node in a type of area through judgment conditions, and then adaptively selects different setting optimization methods according to the judgment conditions, so that the selection of setting optimization methods is more in line with the actual application scenario, while ensuring that the water sound monitoring points cover the key areas, it also avoids the problem of resource waste caused by too many water sound monitoring points, helps to cope with different monitoring needs and environmental changes, and improves the reliability and stability of water sound monitoring.

[0043] Furthermore, in the present invention, the status of the pipeline network is determined according to the number of abnormal monitoring points and the distribution coefficient of the abnormal monitoring points. The number and distribution of water sound monitoring points are effectively reflected by the number of abnormal monitoring points and the distribution coefficient of the abnormal monitoring points. Then, different troubleshooting methods are adaptively selected according to the status of the pipeline network, so that the selection of the troubleshooting method is more in line with the actual application scenario, and the leakage area of ​​the pipeline network can be located more accurately, thereby improving the accuracy of the troubleshooting and reducing the impact of the fault on the stability and safety of the pipeline network.

[0044] Furthermore, the present invention is used to determine the processing method of the area to be investigated according to the regional influence coefficient. The regional influence coefficient effectively reflects the degree of influence between the areas to be investigated, and then different processing methods are adaptively selected according to the regional influence coefficient, so that the selection of processing method is more in line with the actual application scenario, avoiding the problem of too large an investigation scope when the degree of influence between the areas to be investigated is large, and can accurately locate the problem area to reduce unnecessary investigation scope, thereby improving the investigation efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 This is a unit connection diagram of the pipe network management system based on water sound monitoring of the present invention;

[0046] Figure 2 A flow chart of a method for determining the regional division of a pipe network area according to analysis conditions in the present invention;

[0047] Figure 3 It is a flow chart of determining the regional type of the pipe network area according to the pressure shear value and the estimated coefficient of variation of the present invention;

[0048] Figure 4 The present invention is a flow chart of determining the setting method of water sound monitoring points according to the area type. DETAILED DESCRIPTION

[0049] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0050] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0051] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0052] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0053] See also Figures 1 to 4 As shown, the present invention provides a pipe network management system based on water sound monitoring, comprising:

[0054] Data collection unit, used to collect pipe network data and water sound data;

[0055] A region division unit connected to the data acquisition unit is used to determine a region division method of the pipe network area according to the analysis conditions, wherein the region division method is to perform associated division according to a distance reference value and an associated factor, or to perform uniform division according to an evaluation coefficient;

[0056] A monitoring and determination unit, which is connected to the data acquisition unit and the area division unit respectively, and is used to determine the area type of the pipe network area according to the pressure shear value and the estimated variation coefficient, and determine the water sound monitoring point setting method according to the area type, and the water sound monitoring point setting method is to determine the setting optimization method according to the determination conditions, or to set the water sound monitoring point according to the node connectivity;

[0057] An optimization unit is set, which is connected to the monitoring and determination unit, and is used to determine, according to the determination condition, whether to set a water sound monitoring point for a node corresponding to a redundant sub-area according to a redundancy threshold, or to set a water sound monitoring point according to a node influence coefficient;

[0058] An investigation and analysis unit, which is respectively connected to the data acquisition unit, the monitoring and determination unit and the setting optimization unit, and is used to determine the state of the pipe network according to the number of abnormal monitoring points and the distribution coefficient of the abnormal monitoring points, and determine the investigation method according to the state of the pipe network, the investigation method is to determine the processing method of the area to be investigated according to the regional influence coefficient, or to determine the investigation priority coefficient of the abnormal monitoring point according to the abnormal coefficient;

[0059] The investigation optimization unit is respectively connected to the data acquisition unit and the investigation analysis unit, and is used to determine the processing method of the area to be investigated according to the regional influence coefficient. The processing method is to determine whether to investigate the area to be investigated according to the difference in influence ratio, or to determine the investigation point of the area to be investigated according to the similarity of the wave distance ratio and the anomaly coefficient.

[0060] The application scenario of the present invention is to use water sound monitoring to check for leakage points in a heating pipe network. The present invention is further provided with an information response unit, which is respectively connected to the monitoring and determination unit, the setting optimization unit, the investigation and analysis unit and the investigation optimization unit, and is used to send the location of the water sound monitoring point and the area to be investigated to the user, so as to install the water sound early warning instrument and excavate and repair the area to be investigated; the pipe network data includes but is not limited to the node location, the heat source location and the number of pipe sections, the water sound data includes the noise value monitored by each water sound monitoring point, the heating pipe network includes a number of pipe sections, a number of nodes and a number of heat sources, the pipe section is a continuous pipe section whose direction has not changed, the node is a connection point of two or more pipe sections, the heat source is but is not limited to a thermal power plant, a boiler room and a geothermal heat pump, which is easy for technicians in this field to understand and will not be described in detail;

[0061] In the present invention, after the location of the water sound monitoring point is determined, the water sound early warning device is installed at each water sound monitoring point, and the installation steps include:

[0062] 1) Prepare installation materials: The installation materials include water sound warning instrument, 1-inch female thread valve, connectors, sealing tape and wrench.

[0063] 2) Pipeline opening: Before starting work, close the main valve on the main pipeline to ensure that no water flows through during work.

[0064] 3) Install a 1-inch female thread valve: At the location of the water sound monitoring point, use appropriate tools to drill a hole in the pipe to install the valve, clean the pipe incision to ensure that there are no impurities and burrs, connect the 1-inch female thread valve to the main pipe, tighten it with a wrench, and use sealing tape or sealant to seal the interface to prevent leakage.

[0065] 5) Install the water sound early warning device: Fix the water sound early warning device on the pipeline and fix the remote transmission terminal to the top of the well wall, usually through straps or clamps, and connect the power supply and communication lines of the water sound early warning device to ensure that it can operate normally.

[0066] In the present invention, several historical records are set up accordingly, and any historical record records the node radiation coefficient, heat source influence threshold, correlation factor, pressure shear value, estimated variation coefficient, node influence coefficient and number of abnormal monitoring points in at least one historical process of water sound monitoring, and each historical record corresponds to a qualified mark, which records whether the accuracy of water sound monitoring meets user requirements, and the qualified mark can be recorded manually.

[0067] Specifically, the area division unit responds to the analysis conditions to determine the area division method of the pipe network area;

[0068] The analysis condition of the regional division unit response is that the node radiation coefficient is greater than or equal to the preset node radiation coefficient or the heat source influence threshold is less than the preset heat source influence threshold, and the regional division method is to perform associated division according to the distance reference value and the associated factor;

[0069] In the association division, the association node combination is determined according to the distance reference value and the association factor, and the smallest rectangular area that can contain each node in a single association node combination is recorded as a pipe network area.

[0070] The analysis conditions include a first analysis condition and a second analysis condition. The first analysis condition is that the node radiation coefficient is greater than or equal to a preset node radiation coefficient or the heat source influence threshold is less than a preset heat source influence threshold; the second analysis condition is that the node radiation coefficient is less than the preset node radiation coefficient and the heat source influence threshold is greater than or equal to the preset heat source influence threshold;

[0071] It should be noted that the analysis condition of the regional division unit response is that the node radiation coefficient is less than the preset node radiation coefficient and the heat source influence threshold is greater than or equal to the preset heat source influence threshold. The regional division method is uniform division according to the evaluation coefficient. In the uniform division, the smallest rectangle that can contain all the nodes in the pipe network is recorded as the influence area, and the influence area is divided into a preset number of rectangular areas with the same area and shape. Each rectangular area is recorded as a pipe network area. The preset number is positively correlated with the evaluation coefficient. The evaluation coefficient = node radiation coefficient + heat source influence threshold;

[0072] The node radiation coefficient is the average value of the reference distances corresponding to each node. The reference distance is confirmed by recording a single node as the target node, recording each node other than the target node as a reference node, and the minimum value of the shortest distances from the target node to each reference node is the reference distance corresponding to the target node.

[0073] The heat source impact threshold is confirmed by:

[0074] If the number of heat sources is equal to the standard number, the heat source impact threshold is the average value of the shortest distance from the heat source to each node;

[0075] If the number of heat sources is greater than the standard number, the heat source impact threshold = heat source impact distance + node impact distance;

[0076] The heat source influence distance is the average value of the first influence distances corresponding to each heat source. The first influence distance is confirmed by recording a single heat source as the target heat source, recording each heat source other than the target heat source as a reference heat source, and the average value of the shortest distance from the target heat source to each reference heat source is the first influence distance corresponding to the target heat source; the node influence distance is the average value of the second influence distances corresponding to each heat source, and the second influence distance is the average value of the shortest distance from a single heat source to each node, and the standard number is 1;

[0077] The values ​​of the preset node radiation coefficient and the preset heat source influence threshold can be determined by the user according to the actual application scenario. The larger the value of the preset node radiation coefficient and the smaller the value of the preset heat source influence threshold, the greater the user's demand for uniform division according to the evaluation coefficient. A value of the preset node radiation coefficient and the preset heat source influence threshold is provided, and the historical records of uniform division according to the evaluation coefficient are detected, and the average value of the node radiation coefficient corresponding to the historical records that can meet the user's needs is recorded as the preset node radiation coefficient, and the average value of the heat source influence threshold corresponding to the historical records that can meet the user's needs is recorded as the preset heat source influence threshold;

[0078] Determining the associated node combination according to the distance reference value and the associated factor, including: performing an associated analysis on each node, when performing an associated analysis on a single node, recording the node as a target node, recording each node other than the target node that is not recorded in the associated node combination as a reference node, recording a set of reference nodes whose distance reference values ​​to the target node are less than a preset distance reference value and whose associated factors are greater than a preset associated factor and the target node as an associated node combination, and continuing to perform an associated analysis on nodes that are not recorded as the associated node combination until each node is recorded in the associated node combination, then stopping the associated analysis;

[0079] The distance reference value is the shortest distance between two nodes. For any two nodes, the correlation factor is confirmed in the following way: if the total amount of the loop pipeline is greater than or equal to the standard amount, the correlation factor = loop influence coefficient - flow difference; if the total amount of the loop pipeline is less than the standard amount, the correlation factor is negatively correlated with the flow difference.

[0080] The total amount of the loop pipeline is confirmed by performing pipeline analysis on each node. When performing pipeline analysis on a single node, the node is recorded as the target node, and the path from the target node through several nodes to the target node is recorded as a loop pipeline. The total amount of the loop pipeline is the maximum value of the number of loop pipelines corresponding to each node.

[0081] The present invention is provided with a continuous cycle monitoring cycle, and the data status is determined once at the end of each monitoring cycle. The duration of the monitoring cycle can be set according to the needs of the user. The greater the user's demand for the accuracy of data status monitoring, the shorter the monitoring cycle duration. A value of the monitoring cycle is provided, and the monitoring cycle is 24h;

[0082] The flow difference and loop influence coefficient are confirmed by taking any two nodes as analysis nodes, and recording the maximum flow values ​​passing through the two analysis nodes in the current monitoring period as Q1 and Q2 respectively. The flow difference = |Q1-Q2| / (the larger value of Q1 and Q2), and the loop influence coefficient is the number of loop pipelines that contain two analysis nodes at the same time.

[0083] The values ​​of the preset distance reference value and the preset association factor can be determined by the user according to the actual application scenario. The higher the user's demand for the degree of node association in the associated node combination, the smaller the values ​​of the preset distance reference value and the preset association factor. A preset distance reference value and a preset association factor are provided. The preset distance reference value is 100m. The historical records of the associated node combination are determined based on the distance reference value and the association factor, and the average value of the association factors corresponding to the historical records that can meet the user's needs is recorded as the preset association factor.

[0084] Specifically, the monitoring and determination unit determines the regional type of the pipe network area according to the pressure shear value and the estimated variation coefficient, and the regional type includes:

[0085] A type of area where the pressure shear value is greater than or equal to the preset pressure shear value or the estimated coefficient of variation is greater than or equal to the preset estimated coefficient of variation;

[0086] The second type of area is where the pressure shear value is less than the preset pressure shear value and the estimated coefficient of variation is less than the preset estimated coefficient of variation.

[0087] Among them, the pressure shear value is the standard value of the pressure value corresponding to each node in a single pipe network area. The pressure value corresponding to a single node is the maximum pressure monitored in the current monitoring period, which can be measured by a pressure sensor. It is estimated that the coefficient of variation is positively correlated with the service life of the pipe network. The service life of the pipe network is the time the heating pipe network is used.

[0088] The values ​​of the preset pressure shear value and the preset estimated variation coefficient can be determined by the user according to the actual application scenario. The greater the user's demand for setting water sound monitoring points according to the node connectivity, the larger the values ​​of the preset pressure shear value and the preset estimated variation coefficient. A value detection method for the preset pressure shear value and the preset estimated variation coefficient is provided. According to the historical records of setting water sound monitoring points according to the node connectivity, the average value of the pressure shear values ​​corresponding to the historical records that can meet the user's needs is recorded as the preset pressure shear value, and the average value of the estimated variation coefficient corresponding to the historical records that can meet the user's needs is recorded as the preset estimated variation coefficient.

[0089] Specifically, the monitoring and determination unit is used to determine the water sound monitoring point setting method according to the area type;

[0090] The monitoring and judging unit executes a water sound monitoring point setting method corresponding to a type of area and determines a setting optimization method according to a judging condition;

[0091] The monitoring and judging unit executes a water sound monitoring point setting method for setting water sound monitoring points according to node connectivity corresponding to the second type of area.

[0092] The determination condition includes a first determination condition and a second determination condition. The first determination condition is that the number of redundant nodes is greater than or equal to the preset number of redundant nodes and the sub-region domain change value is less than the preset sub-region domain change value. The second determination condition is that the number of redundant nodes is less than the preset number of redundant nodes or the sub-region domain change value.

[0093] For the second type of area, the water sound monitoring point is set according to the node connectivity, wherein the water sound monitoring point is set at the node whose node connectivity is greater than the preset node connectivity, and the node connectivity = the number of ring pipes corresponding to the node + the number of pipeline sections corresponding to the node. The value of the preset node connectivity can be determined by the user according to the actual application scenario. The greater the user's demand for improving the monitoring accuracy, the smaller the value of the preset node connectivity. A value of the preset node connectivity is provided, and the historical records of setting water sound monitoring points according to the node connectivity are detected, and the average value of the node connectivity corresponding to the historical records that can meet the user's needs is recorded as the preset node connectivity.

[0094] Specifically, the setting optimization unit responds to the determination condition to determine the setting optimization mode;

[0095] The judgment condition for the response of the optimization unit is set to be that the number of redundant nodes is greater than or equal to the preset number of redundant nodes and the sub-region domain variation value is less than the preset sub-region domain variation value, and the optimization method is set to determine whether to set a water sound monitoring point for the redundant node according to the redundancy threshold;

[0096] The judgment condition for setting the optimized unit response is that the number of redundant nodes is less than the preset number of redundant nodes or the sub-region domain variation value is greater than or equal to the preset sub-region domain variation value, and the optimization method is set to set the water sound monitoring point according to the node influence coefficient.

[0097] Among them, when determining whether to set a water sound monitoring point for a redundant node according to the redundancy threshold, a water sound monitoring point is set at each non-redundant node. For a single redundant node, if the redundancy threshold corresponding to the redundant node is less than the preset redundancy threshold, a water sound monitoring point is set at the redundant node. If the redundancy threshold corresponding to the redundant node is greater than or equal to the preset redundancy threshold, no water sound monitoring point is set at the redundant node.

[0098] For a single sub-region, the redundancy threshold = the number of nodes in the area where the sub-region overlaps with other sub-regions / the total number of nodes in the sub-region;

[0099] The sub-region is a circle with a single node as the center and the branch length as the radius. The branch length corresponding to a single node is positively correlated with the maximum flow value of the node in the current monitoring period. The redundant node is the node corresponding to the redundant sub-region, and the non-redundant node is other nodes other than the redundant node. The redundant sub-region is a sub-region whose overlapping area is larger than the preset overlapping area. The overlapping area is the area of ​​the area where a single sub-region overlaps with other sub-regions. The number of redundant nodes is the total number of redundant nodes in a single first-class region. The method for confirming the sub-region domain variable value is that for a single first-class region, the first-class region is recorded as the target region, and the sub-region domain variable value corresponding to the target region = the sum of the areas of the sub-regions in the target region / the area of ​​the target region;

[0100] The user can determine the values ​​of the preset number of redundant nodes, the preset sub-region domain variation value, the preset overlapping area and the preset redundant threshold value according to the actual application scenario. The larger the value of the redundant node number and the smaller the value of the sub-region domain variation value, the greater the user's demand for setting water sound monitoring points according to the node influence coefficient. A preset number of redundant nodes and a preset sub-region domain variation value are provided. The preset number of redundant nodes is 25, and the preset sub-region domain variation value is 70%. The smaller the value of the preset overlapping area is, the greater the user's demand for determining the sub-region as a redundant sub-region. A value of the preset overlapping area is provided, and the preset overlapping area is 15㎡; the higher the user's demand for the accuracy of leakage monitoring, the larger the value of the preset redundant threshold. A value of the preset redundant threshold is provided, and the preset redundant threshold is 60%.

[0101] Specifically, the setting optimization unit sets the water sound monitoring point according to the node influence coefficient, including:

[0102] Each pipeline section is divided for detection. When a single pipeline section is divided for detection, the pipeline section is recorded as the target pipeline section. When the node influence coefficient of the two nodes corresponding to the target pipeline section is less than the preset node influence coefficient, a preset number of equal division points are evenly set, and water sound monitoring points are set at each equal division point and the two nodes corresponding to the target pipeline section;

[0103] The preset equal division number is negatively correlated with the node influence coefficient.

[0104] It should be noted that when the node influence coefficients of the two nodes corresponding to the target pipeline section are greater than or equal to the preset node influence coefficients, water sound monitoring points are only set at the two nodes corresponding to the target pipeline section;

[0105] The node influence coefficient is confirmed as follows:

[0106] If the distance reference value between the two nodes corresponding to the target pipeline section is greater than or equal to the preset distance reference value, the node influence coefficient = slope reference value + distance reference value;

[0107] If the distance reference value between the two nodes corresponding to the target pipeline section is less than the preset distance reference value, the node influence coefficient is negatively correlated with the number of influenced nodes, and the number of influenced nodes is the total number of nodes in the sub-area corresponding to the two nodes of the target pipeline section;

[0108] The slope reference value is confirmed in the following way: for a single pipeline section, the pipeline section is recorded as the target pipeline section, and the slope reference value corresponding to the target pipeline section = (H1-H2) / L, where H1 is the elevation of the starting end of the target pipeline section, H2 is the elevation of the end of the target pipeline section, and L is the horizontal length of the target pipeline section. The starting end is the end with the smaller distance between the pipeline section and the horizontal plane, and the end end is the end with the larger distance between the pipeline section and the horizontal plane.

[0109] The value of the preset node influence coefficient can be determined by the user according to the actual application scenario. The greater the user's demand for improving the accuracy of pipeline leakage monitoring, the smaller the value of the preset node influence coefficient is. A value of the preset node influence coefficient is provided, and the historical records of not setting equal points when setting water sound monitoring points according to the node influence coefficient are monitored. The average value of the node influence coefficient corresponding to the historical records that can meet the user's needs is recorded as the preset node influence coefficient.

[0110] Specifically, the investigation and analysis unit determines the status of the pipe network according to the number of abnormal monitoring points and the distribution coefficient of the abnormal monitoring points. The status of the pipe network includes:

[0111] A first pipe network state in which the number of abnormal monitoring points is greater than or equal to the preset number of abnormal monitoring points or the distribution coefficient of the abnormal monitoring points is less than the preset distribution coefficient of the abnormal monitoring points;

[0112] A second pipe network state in which the number of abnormal monitoring points is less than a preset number of abnormal monitoring points and the distribution coefficient of the abnormal monitoring points is greater than or equal to the preset distribution coefficient of the abnormal monitoring points.

[0113] Among them, the number of abnormal monitoring points is the total number of abnormal monitoring points in the heating network, the abnormal monitoring point is the water sound monitoring point whose noise value is greater than the preset noise value, and the noise value is the maximum noise value monitored by the water sound early warning instrument during the current monitoring period, in dB;

[0114] The abnormal monitoring point distribution coefficient is the average value of the abnormal spacings corresponding to each abnormal monitoring point. For a single abnormal monitoring point, the abnormal monitoring point is recorded as the target abnormal monitoring point, and other abnormal monitoring points other than the target monitoring point are recorded as reference abnormal monitoring points. The minimum value of the shortest distance from the target abnormal monitoring point to the single reference monitoring point is recorded as the abnormal spacing corresponding to the target abnormal monitoring point.

[0115] The values ​​of the preset number of abnormal monitoring points, the preset distribution coefficient of abnormal monitoring points and the preset noise value can be determined by the user according to the actual application scenario. The smaller the value of the preset number of abnormal monitoring points and the larger the value of the preset distribution coefficient of abnormal monitoring points, the greater the user's demand for determining the processing method of the area to be investigated according to the regional impact coefficient. A value of the preset number of abnormal monitoring points and the preset distribution coefficient of abnormal monitoring points are provided, and the historical records of determining the processing method of the area to be investigated according to the regional impact coefficient are detected. The average value of the number of abnormal monitoring points corresponding to the historical records that can meet the user's needs is recorded as the preset number of abnormal monitoring points, and the average value of the distribution coefficient of abnormal monitoring points corresponding to the historical records that can meet the user's needs is recorded as the preset distribution coefficient of abnormal monitoring points; the greater the user's demand for ensuring the quality of heating, the smaller the value of the preset noise value is. A value of the preset noise value is provided, and the historical records of recording water sound monitoring points as abnormal monitoring points are detected, and the average value of the noise values ​​corresponding to the historical records that can meet the user's needs are recorded as the preset noise value.

[0116] Specifically, the troubleshooting analysis unit responds to the pipe network status to determine the troubleshooting method;

[0117] The investigation and analysis unit responds to the first pipe network status, and the investigation method is to determine the processing method of the area to be investigated according to the regional influence coefficient;

[0118] The troubleshooting analysis unit responds to the second pipe network status, and the troubleshooting method is to determine the troubleshooting priority coefficient of the abnormal monitoring point according to the abnormal coefficient;

[0119] The abnormality coefficient is positively correlated with the screening priority coefficient of the abnormal monitoring point.

[0120] The confirmation method of the area to be investigated is to conduct investigation and analysis on each abnormal monitoring point. When conducting investigation and analysis on a single abnormal monitoring point, the sub-area corresponding to the abnormal monitoring point is recorded as an area to be investigated, and the investigation and analysis is continued for the abnormal monitoring points not recorded in the area to be investigated, until all abnormal monitoring points are recorded in the area to be investigated, then the investigation and analysis is stopped;

[0121] For a single area to be investigated, the area to be investigated is recorded as the target area to be investigated. The calculation formula of the regional influence coefficient ε corresponding to the target area to be investigated is:

[0122]

[0123] Among them, for a single area to be checked, the area to be checked is recorded as the target area to be checked, and other areas to be checked outside the target area to be checked are recorded as reference areas to be checked; m is the number of reference areas to be checked, j=1, 2, ..., m, is the regional coefficient corresponding to the jth reference area to be investigated, is the shortest distance from the center of the jth reference area to be checked to the center of the target area to be checked; the area coefficient α corresponding to a single reference area to be checked = the number of abnormal detection points in the reference area + the average value of the noise values ​​corresponding to each abnormal detection point in the reference area; β is the shortest distance from the center of a single reference area to be checked to the center of the target area to be checked;

[0124] The larger the abnormal coefficient corresponding to a single abnormal monitoring point is, the higher the priority of the abnormal monitoring point in the order of investigation.

[0125] Specifically, the troubleshooting and analysis unit determines an abnormality coefficient according to the flow change value;

[0126] If the flow change value is greater than or equal to the preset flow change value, the abnormal coefficient is determined according to the noise mean and the frequency-flow correlation value;

[0127] If the flow change value is less than the preset flow change value, the abnormal coefficient is determined according to the noise mean and noise fluctuation value.

[0128] Among them, for an abnormal monitoring point, the abnormal monitoring point is recorded as a target abnormal monitoring point, and the abnormal coefficient corresponding to the target abnormal monitoring point is confirmed in the following manner:

[0129] If the flow change value is greater than or equal to the preset flow change value, the abnormal coefficient = noise mean + frequency-flow correlation value;

[0130] If the flow change value is less than the preset flow change value, the abnormal coefficient = noise mean - noise fluctuation value;

[0131] The flow change value is the standard deviation of the flow of the target abnormal monitoring point corresponding to each monitoring point. The monitoring point is set by the user. A method for setting the monitoring point is provided. The start time of the current monitoring cycle is recorded as a monitoring point. In the order from early to late, every 30 minutes is recorded as a monitoring point, that is, the monitoring parameters are recorded every 30 minutes.

[0132] The value of the preset flow change value can be determined by the user according to the actual application scenario. The smaller the value of the preset flow change value is, the greater the user's need to determine the abnormal coefficient according to the noise mean and the frequency-flow correlation value. A value of the preset flow change value is provided, and the historical records of determining the abnormal coefficient according to the noise mean and the frequency-flow correlation value are detected, and the average value of the flow change values ​​corresponding to the historical records that can meet the user's needs is recorded as the preset flow change value;

[0133] The noise mean is the average value of the noise values ​​at each monitoring point with abnormal targets; the noise fluctuation value is the standard deviation of the noise values ​​at each monitoring point with abnormal targets;

[0134] The calculation formula of the frequency-current correlation value r corresponding to the target abnormal monitoring point is:

[0135]

[0136] Where n is the number of monitoring points in the current monitoring cycle; is the noise value of the i-th monitoring point at the target abnormal monitoring point, is the flow rate of the target abnormal monitoring point of the i-th monitoring point, is the noise mean, is the average value of the flow rate of the target abnormal monitoring point corresponding to each monitoring point, i = 1, 2, 3, ..., n.

[0137] Specifically, the screening optimization unit determines the processing method of the area to be screened according to the regional impact coefficient;

[0138] If the regional influence coefficient is greater than or equal to the preset regional influence coefficient, the processing method is to determine whether to conduct an investigation on the area to be investigated according to the difference in influence ratios. When the difference in influence ratios of a single area to be investigated is less than the preset difference in influence ratios, the abnormal monitoring points in the area to be investigated are investigated.

[0139] If the regional influence coefficient is less than the preset regional influence coefficient, the processing method is to determine the inspection points of the area to be inspected according to the wavelength ratio similarity and the anomaly coefficient, among which the abnormal monitoring points whose wavelength ratio difference is less than the preset wavelength ratio difference and the anomaly coefficient is greater than the preset anomaly coefficient are inspected.

[0140] Wherein, when determining whether it is necessary to conduct an investigation on a single area to be investigated according to the difference in impact ratio, if the difference in impact ratio is greater than or equal to the preset difference in impact ratio, no investigation is conducted on the abnormal monitoring points in the area to be investigated;

[0141] The value of the preset regional influence coefficient can be determined by the user according to the actual application scenario. The larger the value of the preset regional influence coefficient is, the greater the user's need to determine the inspection points of the area to be inspected according to the wave distance ratio similarity and the anomaly coefficient. A value of the preset regional influence coefficient is provided, and the historical records of determining the inspection points of the area to be inspected according to the wave distance ratio similarity and the anomaly coefficient are detected, and the average value of the regional influence coefficients corresponding to the historical records that can meet the user's needs is recorded as the preset regional influence coefficient;

[0142] The method for confirming the difference of the impact ratio is as follows: for a single area to be investigated, the area to be investigated is recorded as the first target area to be investigated, and other areas to be investigated outside the first target area to be investigated are recorded as the first reference areas to be investigated. The maximum value of the impact ratios corresponding to the first reference areas to be investigated is recorded as Cmax, and the minimum value is recorded as Cmin. The difference of the impact ratio corresponding to the first target area to be investigated = (Cmax-Cmin) / Cmax, and the impact ratio C corresponding to a single first reference area to be investigated = |the noise value corresponding to the abnormal monitoring point at the center of the first reference area to be investigated - the noise value corresponding to the abnormal monitoring point at the center of the first target area to be investigated | / the shortest distance from the center of the first reference area to be investigated to the center of the first target area to be investigated;

[0143] It should be noted that when the processing method is to determine the screening point of the area to be screened according to the wave-distance ratio similarity and the anomaly coefficient, if there is only one abnormal monitoring point in the area to be screened, then the abnormal monitoring point is screened; if the number of abnormal monitoring points in the area to be screened is greater than 1, then the screening point of the area to be screened is determined according to the wave-distance ratio similarity and the anomaly coefficient;

[0144] The confirmation method of the distance ratio similarity is as follows: for a single area to be investigated, a single abnormal monitoring point in the area to be investigated is recorded as the second target abnormal monitoring point, and other abnormal monitoring points in the area to be investigated other than the second target abnormal monitoring point are recorded as the second reference abnormal monitoring points. The maximum value of the distance ratio corresponding to each second reference abnormal monitoring point is recorded as B1, and the minimum value is recorded as B2. The distance ratio difference corresponding to the second target abnormal monitoring point = (B1-B2) / B1, and the distance ratio corresponding to a single second reference abnormal monitoring point = |Noise value corresponding to the second reference abnormal monitoring point - Noise value corresponding to the second target abnormal monitoring point| / The shortest distance from the second reference abnormal monitoring point to the second target abnormal monitoring point;

[0145] The values ​​of the preset influence ratio difference, the preset wavelength ratio similarity and the preset anomaly coefficient can be determined by the user according to the actual application scenario. The greater the user's demand for improving the leak detection range, the greater the values ​​of the preset influence ratio difference and the preset wavelength ratio similarity, and the smaller the value of the preset anomaly coefficient. Provided are values ​​of the preset influence ratio difference, the preset wavelength ratio similarity and the preset anomaly coefficient, in which the influence ratio difference is 70% and the preset wavelength ratio similarity is 70%. The historical records of the inspection points of the area to be inspected are determined according to the wavelength ratio similarity and the anomaly coefficient, and the average value of the anomaly coefficients corresponding to the historical records that can meet the user's needs is recorded as the preset anomaly coefficient.

[0146] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0147] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A pipe network management system based on water sound monitoring, characterized in that: include: Data collection unit, used to collect pipe network data and water sound data; A region division unit connected to the data acquisition unit is used to determine a region division method of the pipe network area according to the analysis conditions, wherein the region division method is to perform associated division according to a distance reference value and an associated factor, or to perform uniform division according to an evaluation coefficient; A monitoring and determination unit, which is connected to the data acquisition unit and the area division unit respectively, and is used to determine the area type of the pipe network area according to the pressure shear value and the estimated variation coefficient, and determine the water sound monitoring point setting method according to the area type, and the water sound monitoring point setting method is to determine the setting optimization method according to the determination conditions, or to set the water sound monitoring point according to the node connectivity; An optimization unit is set, which is connected to the monitoring and determination unit, and is used to determine, according to the determination condition, whether to set a water sound monitoring point for a node corresponding to a redundant sub-area according to a redundancy threshold, or to set a water sound monitoring point according to a node influence coefficient; An investigation and analysis unit, which is respectively connected to the data acquisition unit, the monitoring and determination unit and the setting optimization unit, and is used to determine the state of the pipe network according to the number of abnormal monitoring points and the distribution coefficient of the abnormal monitoring points, and determine the investigation method according to the state of the pipe network, the investigation method is to determine the processing method of the area to be investigated according to the regional influence coefficient, or to determine the investigation priority coefficient of the abnormal monitoring point according to the abnormal coefficient; The investigation optimization unit is respectively connected to the data acquisition unit and the investigation analysis unit, and is used to determine the processing method of the area to be investigated according to the regional influence coefficient. The processing method is to determine whether to investigate the area to be investigated according to the difference in influence ratio, or to determine the investigation point of the area to be investigated according to the similarity of the wave distance ratio and the anomaly coefficient.

2. The pipe network management system based on water sound monitoring according to claim 1 is characterized in that: The area division unit responds to the analysis conditions to determine the area division method of the pipe network area; The analysis condition of the regional division unit response is that the node radiation coefficient is greater than or equal to the preset node radiation coefficient or the heat source influence threshold is less than the preset heat source influence threshold, and the regional division method is to perform associated division according to the distance reference value and the associated factor; In the association division, the association node combination is determined according to the distance reference value and the association factor, and the smallest rectangular area that can contain each node in a single association node combination is recorded as a pipe network area.

3. The pipe network management system based on water sound monitoring according to claim 2 is characterized in that: The monitoring and determination unit determines the regional type of the pipe network area according to the pressure shear value and the estimated variation coefficient, and the regional type includes: A type of area where the pressure shear value is greater than or equal to the preset pressure shear value or the estimated coefficient of variation is greater than or equal to the preset estimated coefficient of variation; The second type of area is where the pressure shear value is less than the preset pressure shear value and the estimated coefficient of variation is less than the preset estimated coefficient of variation.

4. The pipe network management system based on water sound monitoring according to claim 3 is characterized in that: The monitoring and determination unit is used to determine the setting mode of the water sound monitoring point according to the area type; The monitoring and judging unit executes a water sound monitoring point setting method corresponding to a type of area and determines a setting optimization method according to a judging condition; The monitoring and judging unit executes a water sound monitoring point setting method for setting water sound monitoring points according to node connectivity corresponding to the second type of area.

5. The pipe network management system based on water sound monitoring according to claim 4 is characterized in that: The setting optimization unit responds to the determination condition to determine the setting optimization mode; The judgment condition for the response of the optimization unit is set to be that the number of redundant nodes is greater than or equal to the preset number of redundant nodes and the sub-region domain variation value is less than the preset sub-region domain variation value, and the optimization method is set to determine whether to set a water sound monitoring point for the redundant node according to the redundancy threshold; The judgment condition for setting the optimized unit response is that the number of redundant nodes is less than the preset number of redundant nodes or the sub-region domain variation value is greater than or equal to the preset sub-region domain variation value, and the optimization method is set to set the water sound monitoring point according to the node influence coefficient.

6. The pipe network management system based on water sound monitoring according to claim 5 is characterized in that: The setting optimization unit sets the water sound monitoring point according to the node influence coefficient, including: Each pipeline section is divided for detection. When a single pipeline section is divided for detection, the pipeline section is recorded as the target pipeline section. When the node influence coefficient of the two nodes corresponding to the target pipeline section is less than the preset node influence coefficient, a preset number of equal division points are evenly set, and water sound monitoring points are set at each equal division point and the two nodes corresponding to the target pipeline section; The preset equal division number is negatively correlated with the node influence coefficient.

7. The pipe network management system based on water sound monitoring according to claim 6 is characterized in that: The investigation and analysis unit determines the status of the pipe network according to the number of abnormal monitoring points and the distribution coefficient of the abnormal monitoring points. The status of the pipe network includes: A first pipe network state in which the number of abnormal monitoring points is greater than or equal to the preset number of abnormal monitoring points or the distribution coefficient of the abnormal monitoring points is less than the preset distribution coefficient of the abnormal monitoring points; A second pipe network state in which the number of abnormal monitoring points is less than a preset number of abnormal monitoring points and the distribution coefficient of the abnormal monitoring points is greater than or equal to the preset distribution coefficient of the abnormal monitoring points.

8. The pipe network management system based on water sound monitoring according to claim 7 is characterized in that: The troubleshooting analysis unit responds to the pipe network status to determine the troubleshooting method; The investigation and analysis unit responds to the first pipe network status, and the investigation method is to determine the processing method of the area to be investigated according to the regional influence coefficient; The troubleshooting analysis unit responds to the second pipe network status, and the troubleshooting method is to determine the troubleshooting priority coefficient of the abnormal monitoring point according to the abnormal coefficient; The abnormality coefficient is positively correlated with the screening priority coefficient of the abnormal monitoring point.

9. The pipe network management system based on water sound monitoring according to claim 8 is characterized in that: The troubleshooting and analysis unit determines an abnormality coefficient according to the flow change value; If the flow change value is greater than or equal to the preset flow change value, the abnormal coefficient is determined according to the noise mean and the frequency-flow correlation value; If the flow change value is less than the preset flow change value, the abnormal coefficient is determined according to the noise mean and noise fluctuation value.

10. The pipe network management system based on water sound monitoring according to claim 8, characterized in that: The screening optimization unit determines a processing method for the area to be screened according to the regional impact coefficient; If the regional influence coefficient is greater than or equal to the preset regional influence coefficient, the processing method is to determine whether to conduct an investigation on the area to be investigated according to the difference in influence ratios. When the difference in influence ratios of a single area to be investigated is less than the preset difference in influence ratios, the abnormal monitoring points in the area to be investigated are investigated. If the regional influence coefficient is less than the preset regional influence coefficient, the processing method is to determine the inspection points of the area to be inspected according to the wavelength ratio similarity and the anomaly coefficient, among which the abnormal monitoring points whose wavelength ratio difference is less than the preset wavelength ratio difference and the anomaly coefficient is greater than the preset anomaly coefficient are inspected.

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