CN111022932A - Sensor point distribution system and method for water supply pipe network - Google Patents
Sensor point distribution system and method for water supply pipe network Download PDFInfo
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- CN111022932A CN111022932A CN201911275594.6A CN201911275594A CN111022932A CN 111022932 A CN111022932 A CN 111022932A CN 201911275594 A CN201911275594 A CN 201911275594A CN 111022932 A CN111022932 A CN 111022932A
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
- F17D—PIPE-LINE SYSTEMS; PIPE-LINES
- F17D5/00—Protection or supervision of installations
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
- F17D—PIPE-LINE SYSTEMS; PIPE-LINES
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Abstract
The invention provides a sensor distribution system and a method for a water supply network, which relate to the technical field of water supply network monitoring and comprise the following steps: the topology establishing module is used for establishing a pipe network topology structure; the data acquisition module is used for acquiring normal operation data of each pipe section node; the first processing module is used for processing and obtaining real-time operation data corresponding to all the pipe section nodes when the normal operation data of each pipe section node changes; the second processing module is used for processing according to the normal operation data and the real-time operation data to obtain an influence change value of each pipeline node; the data comparison module is used for outputting a comparison result when the influence change value is smaller than a preset change threshold value; and the topology output module is used for removing the corresponding pipeline nodes from the pipe network topology structure according to the comparison result to obtain a pipe network topology optimization structure so as to perform sensor distribution according to the pipe network topology optimization structure. The invention can realize that the monitoring area of the whole water supply network is covered by the least sensor arrangement points, and has strong universality.
Description
Technical Field
The invention relates to the technical field of water supply pipe network monitoring, in particular to a sensor point distribution system and method for a water supply pipe network.
Background
The urban water supply network is an important infrastructure for ensuring the urban economic development and living standard, and is a life line for urban survival and development. Along with the promotion of pipe network informatization and wisdom water utilities, can real-time supervision pipe network's pressure, flow, quality of water isoparametric change through city water supply network, realize pipe network leakage and abnormal conditions monitoring and quick location. The urban water supply network can realize that the monitoring needs rely on the data acquisition sensor who lays in the water supply pipeline section of urban water supply network to gather each item parameter to whole water supply network, the data of gathering must both have the accuracy and be representative. The representativeness of the collected data is closely related to the arrangement number and the arrangement position of the data collection sensors. The quality of monitoring data of monitoring points is directly influenced by the arrangement quantity and the arrangement position of the data acquisition sensors. Due to the limitation of monitoring technology, monitoring network construction and maintenance cost, the arrangement number of the data acquisition sensors is limited, so that the data acquisition sensors must be effectively arranged at reasonable positions to cover the monitoring area of the whole urban water supply network by the least monitoring nodes.
Among the prior art, the arrangement of urban water supply network data acquisition sensor is usually gone on with the practical application demand, like furthest monitoring pipe network pressure condition, furthest monitoring quality of water abnormal conditions, furthest monitoring pipe network flow condition etc. because data acquisition sensor's arrangement is usually to specific monitoring target, like water pressure, quality of water or flow etc. the commonality is relatively poor, can't realize a plurality of monitoring target effective monitoring simultaneously, the real-time running state of unable comprehensive accurate acquisition water supply network.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a sensor stationing system of a water supply pipe network, which specifically comprises:
the topology establishing module is used for acquiring a computer-aided design drawing of the water supply network and establishing a pipe network topology structure according to the computer-aided design drawing;
the pipe network topological structure comprises a plurality of pipe section nodes;
the data acquisition module is connected with the topology establishment module and used for acquiring the normal operation data of each pipe section node in the pipe network topology structure;
the first processing module is connected with the data acquisition module and used for processing the normal operation data to obtain real-time operation data corresponding to all the pipe section nodes when the normal operation data of each pipe section node changes;
the second processing module is respectively connected with the data acquisition module and the first processing module and is used for processing according to the normal operation data and the real-time operation data to obtain an influence change value corresponding to each pipeline node;
the data comparison module is connected with the second processing module and used for comparing the influence change value with a preset change threshold value and outputting a corresponding comparison result when the influence change value is smaller than the change threshold value;
and the topology output module is connected with the data comparison module and used for eliminating the pipeline nodes corresponding to the influence change values from the pipe network topology structure according to the comparison result to obtain a pipe network topology optimization structure so as to perform sensor distribution according to the positions of the pipeline nodes in the pipe network topology optimization structure.
Preferably, the topology establishing module specifically includes:
the data import unit is used for acquiring a computer aided design drawing of the water supply network and importing the computer aided design drawing into EPANET software to obtain an electronic drawing of the water supply network;
the electronic drawing of the water supply network comprises a plurality of original pipe sections;
and the topology establishing unit is connected with the data importing unit and is used for simplifying each original pipe section in the water supply network electronic drawing by adopting a shortest path algorithm, and reserving each original pipe section with the shortest path to obtain a pipe network topology structure.
Preferably, the shortest path algorithm is Dijkstra algorithm.
Preferably, the normal operation data includes normal water pressure data, normal water quality data and normal flow data of each pipe section node.
Preferably, the real-time operation data comprises real-time water pressure data, real-time water quality data and real-time flow data of each pipeline node;
the first processing module specifically includes:
the first processing unit is used for respectively processing and obtaining real-time water pressure data and real-time flow data of all the pipe section nodes when the water consumption of each pipe section node changes according to a water supply network hydraulic model, the normal water pressure data and the normal flow data which are established in advance;
and the second processing unit is used for respectively processing and obtaining real-time water quality data of all the pipe section nodes when the water quality of each pipe section node changes according to a water supply network water quality model established in advance and the normal water quality data.
Preferably, the second processing module specifically includes:
the third processing unit is used for respectively calculating the absolute value of the difference value between the normal water pressure data and the real-time water pressure data of each pipe section node to obtain a water pressure change value corresponding to each pipe section node;
the fourth processing unit is used for respectively calculating the absolute value of the difference value between the normal flow data and the real-time flow data of each pipe section node to obtain a flow change value corresponding to each pipe section node;
the fifth processing unit is used for respectively calculating the absolute value of the difference value between the normal water quality data and the real-time water quality data of each pipe section node to obtain a water quality change value corresponding to each pipe section node;
and the sixth processing unit is respectively connected with the third processing unit, the fourth processing unit and the fifth processing unit and is used for carrying out weighted calculation on the water pressure change value, the flow change value and the water quality change value according to a preset weight proportion aiming at each pipe section node to obtain an influence change value corresponding to each pipe section node.
A sensor stationing method of a water supply pipe network is applied to any one of the sensor stationing systems of the water supply pipe network, and specifically comprises the following steps:
step S1, the sensor stationing system acquires a computer-aided design drawing of the water supply network and establishes a pipe network topological structure according to the computer-aided design drawing;
step S2, the sensor stationing system acquires normal operation data of each pipe section node in the pipe network topological structure;
step S3, the sensor stationing system processes the normal operation data to obtain real-time operation data corresponding to all the pipe section nodes when the normal operation data of each pipe section node changes;
step S4, the sensor stationing system processes the normal operation data and the real-time operation data to obtain an influence change value corresponding to each pipeline node;
step S5, the sensor spotting system compares the impact change value with a preset change threshold:
if the influence variation value is smaller than the variation threshold, the process goes to step S6;
if the influence change value is not smaller than the change threshold value, exiting;
step S6, the sensor stationing system eliminates the pipeline nodes corresponding to the influence change values from the pipe network topology structure to obtain a pipe network topology optimization structure, and performs sensor stationing according to the positions of the pipeline nodes in the pipe network topology optimization structure.
Preferably, the step S2 specifically includes:
step S11, the sensor stationing system acquires a computer aided design drawing of the water supply network, and guides the computer aided design drawing into EPANET software to obtain an electronic drawing of the water supply network;
the electronic drawing of the water supply network comprises a plurality of original pipe sections;
and step S12, the sensor point distribution system adopts a shortest path algorithm to simplify each original pipe section in the water supply network electronic drawing, and each original pipe section with the shortest path is reserved to obtain a pipe network topological structure.
Preferably, the normal operation data includes normal water pressure data, normal water quality data, and normal flow data of each pipe section node, and the step S3 specifically includes:
step S31, the sensor stationing system respectively processes and obtains real-time water pressure data and real-time flow data of all the pipe section nodes when the water consumption of each pipe section node changes according to a water supply network hydraulic model, the normal water pressure data and the normal flow data which are established in advance;
and step S32, the sensor stationing system respectively processes and obtains real-time water quality data of all the pipe section nodes when the water quality of each pipe section node changes according to a water supply pipe network water quality model established in advance and the normal water quality data.
Preferably, the step S4 specifically includes:
step S41, the sensor stationing system respectively calculates the absolute value of the difference between the normal water pressure data and the real-time water pressure data of each pipe section node to obtain the water pressure change value corresponding to each pipe section node;
step S42, the sensor stationing system respectively calculates the absolute value of the difference between the normal flow data and the real-time flow data of each pipe section node to obtain the flow change value corresponding to each pipe section node;
step S43, the sensor stationing system respectively calculates the absolute value of the difference between the normal water quality data and the real-time water quality data of each pipe section node to obtain the water quality change value corresponding to each pipe section node;
and step S44, the sensor stationing system performs weighted calculation on the water pressure change value, the flow change value and the water quality change value according to a preset weight proportion aiming at each pipe section node to obtain an influence change value corresponding to each pipe section node.
The technical scheme has the following advantages or beneficial effects:
1) by establishing a network management topological structure, the data operation amount is effectively reduced;
2) the monitoring area of the whole water supply pipe network can be covered by the minimum sensor distribution points;
3) the system can effectively monitor a plurality of monitoring targets, comprehensively and accurately acquire the real-time running state of the water supply network, and has strong universality.
Drawings
FIG. 1 is a schematic diagram of a sensor placement system for a water supply network in accordance with a preferred embodiment of the present invention;
FIG. 2 is a schematic flow chart of a method for sensor placement in a water supply network in accordance with a preferred embodiment of the present invention;
FIG. 3 is a flow chart of a method for establishing a topology of a pipe network according to a preferred embodiment of the present invention;
FIG. 4 is a flow chart of a method for calculating an impact variation value according to a preferred embodiment of the present invention;
fig. 5 is a flowchart of a method for generating a topology optimization structure of a pipe network according to a preferred embodiment of the present invention.
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments. The present invention is not limited to the embodiment, and other embodiments may be included in the scope of the present invention as long as the gist of the present invention is satisfied.
In view of the above problems in the prior art, the preferred embodiment of the present invention provides a sensor placement system for a water supply network, as shown in fig. 1, which specifically includes:
the topology establishing module 1 is used for acquiring a computer aided design drawing of a water supply network and establishing a pipe network topology structure according to the computer aided design drawing;
the pipe network topological structure comprises a plurality of pipe section nodes;
the data acquisition module 2 is connected with the topology establishment module 1 and is used for acquiring normal operation data of each pipe section node in the pipe network topology structure;
the first processing module 3 is connected with the data acquisition module 2 and is used for processing the normal operation data to obtain real-time operation data corresponding to all the pipe section nodes when the normal operation data of each pipe section node changes;
the second processing module 4 is respectively connected with the data acquisition module 2 and the first processing module 3, and is used for processing according to the normal operation data and the real-time operation data to obtain an influence change value corresponding to each pipeline node;
the data comparison module 5 is connected with the second processing module 4 and is used for comparing the influence change value with a preset change threshold value and outputting a corresponding comparison result when the influence change value is smaller than the change threshold value;
and the topology output module 6 is connected with the data comparison module 5 and is used for eliminating the pipeline nodes corresponding to the influence change values from the pipe network topology structure according to the comparison result to obtain a pipe network topology optimization structure so as to perform sensor distribution according to the positions of the pipeline nodes in the pipe network topology optimization structure.
Specifically, in this embodiment, the water supply network includes a plurality of pipeline nodes, wants to realize the comprehensive monitoring of water supply network, theoretically need all arrange corresponding sensor at every pipeline node to monitor each pipeline node in real time. However, this arrangement requires a large amount of equipment cost and increased labor cost for equipment maintenance; on the other hand, different pipeline nodes have different sensitivities to changes in the operating data, so that a preferred sensor placement scheme can be implemented according to the sensitivities.
More specifically, it is first necessary to obtain a computer aided design drawing, i.e. a CAD drawing, of the water supply network on which the sensors are to be arranged. The computer aided design drawing contains all the pipe sections and all the pipe section nodes constituting the water supply network. In order to reduce the amount of data calculation, the topology between the pipelines needs to be further optimized. In this embodiment, a shortest path algorithm is preferably used to optimize the topology. For example, for pipe node a, there are pipe node B and pipe node C connected to pipe node a, and pipe node C connects pipe node B. Wherein the path length of a pipeline AB formed by connecting the pipeline node A and the pipeline node B is 3, the path length of a pipeline BC formed by connecting the pipeline node B and the pipeline node C is 2, and the path length between the pipeline node A and the pipeline node C is 7. Obviously, for the pipeline node C, since the path length 7 of the direct connection path between the pipeline node C and the pipeline node a is greater than the total path length 5 from the pipeline node C to the pipeline node a after passing through the pipeline node B, the pipeline node B is more sensitive to the change of the operation data of the pipeline node C, and the pipeline node a is less sensitive to the change of the operation data of the pipeline node C, the pipeline AC is removed from the computer-aided design drawing to reduce the data computation amount. And the processing modes of other pipeline nodes are analogized, and the pipe network topological structure is finally obtained.
And then analyzing each pipeline node in the pipe network topological structure one by one, preferably changing the operation data of each pipeline node one by one, monitoring the change of the operation data of other pipeline nodes to obtain the influence degree of the pipeline node on other pipeline nodes, and preferably representing the influence degree through an influence change value. For different pipeline nodes, if the pipeline node is insensitive to the change of the operation data of the node, that is, the influence change value is smaller than a preset change threshold value, it indicates that the change of the operation data cannot be effectively monitored by arranging a sensor at the pipeline node, and therefore, the pipeline node needs to be removed from the pipeline topology structure, so that the pipeline topology optimization structure is obtained. Each pipeline node in the pipeline topology optimization structure is sensitive to operation data change, and the operation data change can be monitored in real time, so that sensors can be arranged, and the monitoring area of the whole water supply network is covered by the fewest monitoring nodes.
In a preferred embodiment of the present invention, the topology establishing module 1 specifically includes:
the data import unit 11 is used for acquiring a computer aided design drawing of the water supply network and importing the computer aided design drawing into EPANET software to obtain an electronic drawing of the water supply network;
the electronic drawing of the water supply network comprises a plurality of original pipe sections;
and the topology establishing unit 12 is connected with the data importing unit 11 and is used for simplifying each original pipe section in the water supply network electronic drawing by adopting a shortest path algorithm, and reserving each original pipe section with the shortest path to obtain a pipe network topology structure.
In the preferred embodiment of the present invention, the shortest path algorithm is Dijkstra algorithm.
In a preferred embodiment of the present invention, the normal operation data includes normal water pressure data, normal water quality data, and normal flow data of each pipe section node.
In a preferred embodiment of the invention, the real-time operation data comprises real-time water pressure data, real-time water quality data and real-time flow data of each pipeline node;
the first processing module 3 specifically includes:
the first processing unit 31 is configured to respectively process real-time water pressure data and real-time flow data of all pipe section nodes when the water consumption of each pipe section node changes according to a water supply network hydraulic model, normal water pressure data and normal flow data which are established in advance;
and the second processing unit 32 is used for respectively processing and obtaining real-time water quality data of all pipe section nodes when the water quality of each pipe section node changes according to a water supply network water quality model and normal water quality data which are established in advance.
In a preferred embodiment of the present invention, the second processing module 4 specifically includes:
the third processing unit 41 is configured to calculate absolute values of differences between the normal water pressure data and the real-time water pressure data of each pipe segment node, respectively, to obtain a water pressure change value corresponding to each pipe segment node;
the fourth processing unit 42 is configured to calculate an absolute value of a difference between the normal flow data and the real-time flow data of each pipe segment node, respectively, to obtain a flow change value corresponding to each pipe segment node;
a fifth processing unit 43, configured to calculate absolute values of differences between the normal water quality data and the real-time water quality data of each pipe segment node, respectively, to obtain a water quality change value corresponding to each pipe segment node;
and the sixth processing unit 44 is respectively connected to the third processing unit 41, the fourth processing unit 42 and the fifth processing unit 43, and is configured to perform weighted calculation on the water pressure change value, the flow change value and the water quality change value according to a preset weight proportion for each pipe section node to obtain an influence change value corresponding to each pipe section node.
Specifically, in this embodiment, the water pressure change value, the flow change value, and the water quality change value are obtained by processing respectively, and the monitoring of the water pressure, the flow, and the water quality by the pipeline node is considered comprehensively, so that the monitoring data is more comprehensive, and the universality is strong.
A sensor stationing method for a water supply network, which is applied to any one of the above sensor stationing systems for a water supply network, as shown in fig. 2, the sensor stationing method for a water supply network specifically includes the following steps:
step S1, the sensor stationing system acquires a computer aided design drawing of the water supply network and establishes a pipe network topological structure according to the computer aided design drawing;
step S2, the sensor stationing system acquires the normal operation data of each pipe section node in the pipe network topology structure;
step S3, the sensor stationing system processes the normal operation data to obtain the real-time operation data corresponding to all the pipe section nodes when the normal operation data of each pipe section node changes;
step S4, the sensor stationing system processes the normal operation data and the real-time operation data to obtain the influence change value corresponding to each pipeline node;
step S5, the sensor stationing system compares the influence variation value with a preset variation threshold:
if the influence variation value is smaller than the variation threshold, the process goes to step S6;
if the influence change value is not less than the change threshold value, exiting;
and step S6, the sensor distribution system eliminates the pipeline nodes corresponding to the influence change values from the pipe network topology structure to obtain a pipe network topology optimization structure, and the sensor distribution is carried out according to the positions of the pipeline nodes in the pipe network topology optimization structure.
In a preferred embodiment of the present invention, as shown in fig. 3, step S2 specifically includes:
step S11, the sensor stationing system acquires a computer aided design drawing of the water supply network, and guides the computer aided design drawing into EPANET software to obtain an electronic drawing of the water supply network;
the electronic drawing of the water supply network comprises a plurality of original pipe sections;
and step S12, the sensor point distribution system adopts a shortest path algorithm to simplify each original pipe section in the electronic drawing of the water supply network, and each original pipe section with the shortest path is reserved to obtain a pipe network topological structure.
In a preferred embodiment of the present invention, the normal operation data includes normal water pressure data, normal water quality data, and normal flow data of each pipe section node, as shown in fig. 4, step S3 specifically includes:
step S31, the sensor stationing system respectively processes and obtains real-time water pressure data and real-time flow data of all pipe section nodes when the water consumption of each pipe section node changes according to a water supply network hydraulic model, normal water pressure data and normal flow data which are established in advance;
and step S32, the sensor stationing system respectively processes the water quality model of the water supply network and the normal water quality data to obtain the real-time water quality data of all the pipe section nodes when the water quality of each pipe section node changes.
In a preferred embodiment of the present invention, as shown in fig. 5, step S4 specifically includes:
step S41, the sensor stationing system respectively calculates the absolute value of the difference between the normal water pressure data and the real-time water pressure data of each pipe section node to obtain the water pressure change value corresponding to each pipe section node;
step S42, the sensor stationing system respectively calculates the absolute value of the difference between the normal flow data and the real-time flow data of each pipe section node to obtain the flow change value corresponding to each pipe section node;
step S43, the sensor stationing system respectively calculates the absolute value of the difference between the normal water quality data and the real-time water quality data of each pipe section node to obtain the water quality change value corresponding to each pipe section node;
and step S44, the sensor stationing system performs weighted calculation on the water pressure change value, the flow change value and the water quality change value according to a preset weight proportion aiming at each pipe section node to obtain an influence change value corresponding to each pipe section node.
While the invention has been described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention.
Claims (10)
1. The utility model provides a sensor cloth point system of water supply network which characterized in that specifically includes:
the topology establishing module is used for acquiring a computer-aided design drawing of the water supply network and establishing a pipe network topology structure according to the computer-aided design drawing;
the pipe network topological structure comprises a plurality of pipe section nodes;
the data acquisition module is connected with the topology establishment module and used for acquiring the normal operation data of each pipe section node in the pipe network topology structure;
the first processing module is connected with the data acquisition module and used for processing the normal operation data to obtain real-time operation data corresponding to all the pipe section nodes when the normal operation data of each pipe section node changes;
the second processing module is respectively connected with the data acquisition module and the first processing module and is used for processing according to the normal operation data and the real-time operation data to obtain an influence change value corresponding to each pipeline node;
the data comparison module is connected with the second processing module and used for comparing the influence change value with a preset change threshold value and outputting a corresponding comparison result when the influence change value is smaller than the change threshold value;
and the topology output module is connected with the data comparison module and used for eliminating the pipeline nodes corresponding to the influence change values from the pipe network topology structure according to the comparison result to obtain a pipe network topology optimization structure so as to perform sensor distribution according to the positions of the pipeline nodes in the pipe network topology optimization structure.
2. The sensor stationing system of a water supply pipe network of claim 1, wherein the topology building module specifically comprises:
the data import unit is used for acquiring a computer aided design drawing of the water supply network and importing the computer aided design drawing into EPANET software to obtain an electronic drawing of the water supply network;
the electronic drawing of the water supply network comprises a plurality of original pipe sections;
and the topology establishing unit is connected with the data importing unit and is used for simplifying each original pipe section in the water supply network electronic drawing by adopting a shortest path algorithm, and reserving each original pipe section with the shortest path to obtain a pipe network topology structure.
3. The sensor spot distribution system for a water supply pipe network of claim 2, wherein the shortest path algorithm is Dijkstra's algorithm.
4. The sensor spot system of claim 1, wherein the normal operating data comprises normal water pressure data, normal water quality data, and normal flow data for each of the tube segment nodes.
5. The sensor stationing system of a water supply network of claim 4, wherein the real-time operational data comprises real-time water pressure data, real-time water quality data, and real-time flow data for each of the pipe nodes;
the first processing module specifically includes:
the first processing unit is used for respectively processing and obtaining real-time water pressure data and real-time flow data of all the pipe section nodes when the water consumption of each pipe section node changes according to a water supply network hydraulic model, the normal water pressure data and the normal flow data which are established in advance;
and the second processing unit is used for respectively processing and obtaining real-time water quality data of all the pipe section nodes when the water quality of each pipe section node changes according to a water supply network water quality model established in advance and the normal water quality data.
6. The sensor stationing system of a water supply pipe network of claim 5, wherein the second processing module specifically comprises:
the third processing unit is used for respectively calculating the absolute value of the difference value between the normal water pressure data and the real-time water pressure data of each pipe section node to obtain a water pressure change value corresponding to each pipe section node;
the fourth processing unit is used for respectively calculating the absolute value of the difference value between the normal flow data and the real-time flow data of each pipe section node to obtain a flow change value corresponding to each pipe section node;
the fifth processing unit is used for respectively calculating the absolute value of the difference value between the normal water quality data and the real-time water quality data of each pipe section node to obtain a water quality change value corresponding to each pipe section node;
and the sixth processing unit is respectively connected with the third processing unit, the fourth processing unit and the fifth processing unit and is used for carrying out weighted calculation on the water pressure change value, the flow change value and the water quality change value according to a preset weight proportion aiming at each pipe section node to obtain an influence change value corresponding to each pipe section node.
7. A sensor stationing method for a water supply piping network, which is applied to the sensor stationing system for a water supply piping network according to any one of claims 1 to 6, the sensor stationing method for a water supply piping network comprising the steps of:
step S1, the sensor stationing system acquires a computer-aided design drawing of the water supply network and establishes a pipe network topological structure according to the computer-aided design drawing;
step S2, the sensor stationing system acquires normal operation data of each pipe section node in the pipe network topological structure;
step S3, the sensor stationing system processes the normal operation data to obtain real-time operation data corresponding to all the pipe section nodes when the normal operation data of each pipe section node changes;
step S4, the sensor stationing system processes the normal operation data and the real-time operation data to obtain an influence change value corresponding to each pipeline node;
step S5, the sensor spotting system compares the impact change value with a preset change threshold:
if the influence variation value is smaller than the variation threshold, the process goes to step S6;
if the influence change value is not smaller than the change threshold value, exiting;
step S6, the sensor stationing system eliminates the pipeline nodes corresponding to the influence change values from the pipe network topology structure to obtain a pipe network topology optimization structure, and performs sensor stationing according to the positions of the pipeline nodes in the pipe network topology optimization structure.
8. The sensor stationing method of claim 1, wherein the step S2 specifically comprises:
step S11, the sensor stationing system acquires a computer aided design drawing of the water supply network, and guides the computer aided design drawing into EPANET software to obtain an electronic drawing of the water supply network;
the electronic drawing of the water supply network comprises a plurality of original pipe sections;
and step S12, the sensor point distribution system adopts a shortest path algorithm to simplify each original pipe section in the water supply network electronic drawing, and each original pipe section with the shortest path is reserved to obtain a pipe network topological structure.
9. The method for sensor stationing of a water supply network of claim 1, wherein the normal operation data includes normal water pressure data, normal water quality data and normal flow data of each of the tube section nodes, and the step S3 specifically includes:
step S31, the sensor stationing system respectively processes and obtains real-time water pressure data and real-time flow data of all the pipe section nodes when the water consumption of each pipe section node changes according to a water supply network hydraulic model, the normal water pressure data and the normal flow data which are established in advance;
and step S32, the sensor stationing system respectively processes and obtains real-time water quality data of all the pipe section nodes when the water quality of each pipe section node changes according to a water supply pipe network water quality model established in advance and the normal water quality data.
10. The sensor stationing method of claim 9, wherein the step S4 specifically comprises:
step S41, the sensor stationing system respectively calculates the absolute value of the difference between the normal water pressure data and the real-time water pressure data of each pipe section node to obtain the water pressure change value corresponding to each pipe section node;
step S42, the sensor stationing system respectively calculates the absolute value of the difference between the normal flow data and the real-time flow data of each pipe section node to obtain the flow change value corresponding to each pipe section node;
step S43, the sensor stationing system respectively calculates the absolute value of the difference between the normal water quality data and the real-time water quality data of each pipe section node to obtain the water quality change value corresponding to each pipe section node;
and step S44, the sensor stationing system performs weighted calculation on the water pressure change value, the flow change value and the water quality change value according to a preset weight proportion aiming at each pipe section node to obtain an influence change value corresponding to each pipe section node.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113177283A (en) * | 2021-04-28 | 2021-07-27 | 中国能源建设集团广东省电力设计研究院有限公司 | Intelligent design method, system, equipment and storage medium for instrument measuring point installation |
| CN113357545A (en) * | 2021-05-19 | 2021-09-07 | 上海天麦能源科技有限公司 | Method and system for diagnosing abnormity of urban complex gas pipe network |
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| CN116757441A (en) * | 2023-07-25 | 2023-09-15 | 江苏汇海环境科技有限公司 | Sewage flow automatic monitoring and early warning method and system based on artificial intelligence |
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