Intelligent supervision system for intensive pipe network construction

Abstract

The invention discloses an intensive intelligent supervision system for pipe network construction, and relates to the technical field of pipe network construction supervision. A single chip microcomputer is fixedly arranged at the bottom of each node inspection well cover in a sealed mode, and each node single chip microcomputer receives real-time node water level monitoring data sent by a corresponding node ultrasonic liquid level sensor and receives inspection well safety monitoring data and node video monitoring data obtained through shooting of a camera; each node selects two exclusive receiving nodes according to a preset selection condition and sends real-time node monitoring data to the two exclusive receiving nodes at the same time every specific time, and the two received exclusive receiving nodes receive and process the monitoring data, store the monitoring data and mark data sources; and meanwhile, the exclusive receiving node sends a received signal to the node which sends the monitoring data. The key supervision nodes are directly supervised through the supervision module, so that problems of the key supervision nodes are avoided, and the key supervision nodes can be processed more quickly.

Description

Technical Field

[0001] The present invention belongs to the technical field of pipeline network construction supervision, and in particular relates to an intelligent supervision system for intensive pipeline network construction. Background Art

[0002] With the continuous development of science and technology, people's demand for information on underground pipelines has continued to increase. The management system of underground pipeline networks has not only changed the previous operation mode and management methods, but also changed the perception of underground pipeline management. Since different types of pipeline information are managed by different departments, each department has its own management method, and the information between different departments cannot be shared, resulting in a waste of resources and information isolation. However, with the emergence of underground pipeline network management systems, this problem can be solved, so that information can be shared and updated in real time. In addition, new functions can be expanded, such as pipeline query, statistics, analysis, etc., so that more favorable support can be provided for urban development planning and construction.

[0003] The underground pipe network system includes various pipeline systems such as power supply, gas supply, and water supply. Among them, the underground sewage pipeline system is a key issue in urban sewage management. The field data collection and database establishment of the underground sewage pipe network system are an important part of it. The field underground pipeline data collection starts from the traditional measurement method, that is, drawing records. In addition to its low efficiency, this method may also make the records vague due to the field working conditions, resulting in inaccurate data; at the same time, it is impossible to combine the underground sewage pipe network information with the terrain information, which causes inconvenience to the subsequent maintenance of the pipe network. The current underground sewage pipe network system lacks strict supervision and advanced monitoring methods, and cannot achieve all-round supervision of the underground sewage pipe network system, resulting in the pipe network system being unable to carry out targeted relevant processing in the first time when problems occur. For this reason, we propose an intensive pipe network construction smart supervision system. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent supervision system for intensive pipe network construction to solve the problem that the existing underground sewage pipe network system lacks strict supervision and advanced monitoring means, and cannot achieve all-round supervision of the underground sewage pipe network system, resulting in the pipe network system being unable to carry out targeted related processing in the first time when problems occur.

[0005] In order to solve the above technical problems, the present invention is achieved through the following technical solutions: The present invention is an intelligent supervision system for intensive pipe network construction, including a data module, a supervision module and an operation module; Data module: used to collect basic geographic data, underground pipe network data, manhole safety monitoring data, node video monitoring data, node water level monitoring data, and node pipeline height data from manhole cover through a data acquisition unit, and integrate all collected data into a pipe network distribution data map for intuitive display through a data integration unit; the data integration unit first establishes a three-dimensional pipe network distribution map corresponding to ground buildings and underground pipe networks based on basic geographic data combined with underground pipe network data and imports it into a three-dimensional coordinate system, calculates the three-dimensional coordinate points of all node pipes based on the height data of the node pipe from the manhole cover combined with the coordinates of the manhole cover directly above the node pipe in the three-dimensional coordinate system, sets a custom interaction button for each node manhole in the three-dimensional pipe network distribution map, clicks the custom interaction button to pop up a window of manhole safety monitoring data, node water quality monitoring data, and node water level monitoring data, wherein the node includes each of the manhole covers and the node pipes directly below them; Operation module: including an ultrasonic level sensor fixedly arranged at the middle of the top of the inner wall of the node pipeline, used to monitor the node water level monitoring data of the node pipeline position, and also including a camera arranged at the bottom of the node manhole cover, used to obtain the manhole safety monitoring data and the node video monitoring data, the node video monitoring data includes whether the node pipeline is blocked and the visual turbidity of the node pipeline water quality; the operation module operates the monitoring elements arranged at each node position according to the request of the data module to collect the monitoring data of each node pipeline network; Supervision module: used to supervise the operating status of each node in the pipeline network; a single-chip microcomputer is fixedly and sealed at the bottom of the manhole cover of each node, and the single-chip microcomputer of each node receives the real-time node water level monitoring data sent by the ultrasonic liquid level sensor of the corresponding node, and receives the manhole safety monitoring data and node video monitoring data captured by the camera; each node selects two exclusive receiving nodes according to preset selection conditions, and sends real-time node monitoring data to the two exclusive receiving nodes at specific intervals. The two exclusive receiving nodes receive and process the monitoring data, save and mark the data source, and at the same time, the exclusive receiving node sends a received signal to the node sending the monitoring data; if the exclusive receiving node does not receive the real-time node monitoring data sent by the node sending the monitoring data or the node sending the monitoring data does not receive the received signal sent by any of the two exclusive receiving nodes, the corresponding node sends an abnormal signal to the supervision module, and the supervision module retrieves the monitoring data of the corresponding node to determine whether an abnormality occurs; The preset selection conditions include the following: the node sending the monitoring data selects two exclusive receiving nodes that are closest to it in a straight-line distance, wherein the z-axis height of the node pipeline of one of the exclusive receiving nodes is greater than the z-axis height of the node pipeline of the node sending the monitoring data, and the z-axis height of the node pipeline of the other exclusive receiving node is less than the z-axis height of the node pipeline of the node sending the monitoring data; Wherein, the monitoring module presets a threshold value for the number of monitoring data received by the node. If the number of real-time monitoring data sources of other nodes received by node A exceeds the threshold, node A is determined to be a key monitoring node, and node A directly sends the node real-time monitoring data to the monitoring module for direct supervision by the monitoring module; Among them, when the dedicated receiving node receives and processes the monitoring data, according to the preset node water level monitoring data threshold, manhole safety monitoring data threshold and node video monitoring data threshold, if any data of the received node real-time monitoring data exceeds the threshold, it is judged as abnormal data and output to the data module by the data acquisition unit.

[0006] Preferably, the data module also includes an abnormal data processing unit, which is used to process the abnormal data collected by the data collection unit, and determine the problems occurring in the corresponding node based on the abnormal data information. If the node water level monitoring data is abnormal, the water pressure of the upstream node pipeline is reduced to divert the sewage flowing through the node pipeline. If the manhole safety monitoring data is abnormal, staff are dispatched to the node according to the node coordinate position to perform maintenance on the manhole. If the node video data is abnormal, it is determined whether the node pipeline is in danger of blockage, and staff are dispatched to the node according to the node coordinate position to clean and block the node pipeline based on the abnormal situation. At the same time, the amount of flocculant added to the downstream sewage treatment pool is adjusted according to the visual degree of turbidity of the node pipeline water quality.

[0007] Preferably, the basic geographic data obtained include the distribution locations of ground buildings, terrain and area data; the underground pipe network data obtained include the buried depth of the underground pipe network, pipeline distribution locations, manhole locations, pipe diameters and pipeline length data; a three-dimensional model is established based on the basic geographic data, and then the underground pipe network data is merged with the three-dimensional model to form a three-dimensional pipe network distribution map.

[0008] Preferably, the manhole cover and the node pipe are connected through a manhole, and the three-dimensional coordinate point of the node pipe is calculated by subtracting the height of the node pipe from the manhole cover from the z-axis height of the manhole cover coordinate point, which is the z-axis data of the three-dimensional coordinate point of the node pipe, and the node pipe is located directly below the node manhole cover, so the x-axis and y-axis data of the three-dimensional coordinate point of the node pipe are consistent with the x-axis and y-axis data of the three-dimensional coordinate point of the node manhole cover.

[0009] Preferably, the operation module periodically operates the monitoring elements at each node location to collect the pipeline network monitoring data of each node according to the request of the data module, and the time interval for the operation module to collect the pipeline network monitoring data is greater than the time interval for the node in the supervision module to simultaneously send real-time node monitoring data to two exclusive receiving nodes.

[0010] Preferably, the preset selection condition for selecting two exclusive receiving nodes closest to the node sending the monitoring data in a straight-line distance includes the following: the nodes are connected via a wireless network, so the node sending the monitoring data sends a signal to all nodes within the coverage range according to its wireless network coverage range, and the distance between each node within the coverage range and the node sending the monitoring data is calculated according to the signal strength received by all nodes within the coverage range by the loss model formula in the radio wave transmission process in formula (1): (1) Among them: is the signal power received by the nodes within the coverage area; The transmission power of the wireless network of the node that sends the monitoring data; The gain of the node signal transmitter that sends monitoring data; is the gain of the receiving end of the node within the coverage area; is the wavelength of the radio wave; L is the loss coefficient; d is the distance between the node sending the monitoring data and the nodes within the coverage range.

[0011] Preferably, the monitoring system further includes a functional module, which is used to operate the three-dimensional pipe network distribution map, including the following contents: Quick tools include layer management, transparency, pipeline legend, map snapshot, and screen clearing; Map browsing includes full-screen display, collision, dual-screen comparison, dual-screen linkage and dual-screen settings; The query positioning includes coordinate positioning and attribute query. The coordinate positioning is used to quickly locate the node under the condition of known node coordinates; the attribute query is used to query the attribute information of the target node pipeline, wherein the attribute information includes the three-dimensional spatial coordinates of the target node pipeline, pipeline radius, pipeline material and pipeline laying time; Pipeline statistics are used to count and output the number and length of pipelines within a region, including pipe diameter segment statistics, point property classification statistics, pipe diameter classification summary and material classification summary; Measurement is used to realize distance measurement and area measurement functions, including node horizontal distance, vertical distance, spatial distance, surface distance, horizontal area and surface area measurement functions; Annotation is used to realize the on-map annotation and display function of pipeline information, including elevation, pipe diameter, coordinates, distance, compound, flag and slope annotation functions.

[0012] The present invention has the following beneficial effects: The present invention sets a data module, collects various data through a data collection unit, and then uses a data integration unit to combine the collected basic geographic data with the underground pipe network data to establish a three-dimensional pipe network distribution map, and at the same time combines the three-dimensional pipe network distribution map with the three-dimensional coordinate system, so that each pipeline node can be displayed in the form of coordinates, and then the collected manhole safety monitoring data, node video monitoring data, node water level monitoring data, and node pipeline height data from the manhole cover are imported into the three-dimensional pipe network distribution map for intuitive display, and the set custom interactive button is used to click the custom button to display the node data in a pop-up window; this module can display the collected data intuitively and clearly in the three-dimensional pipe network distribution map, and display the underground pipe network in a three-dimensional map, which greatly reduces the difficulty of supervising the pipe network construction.

[0013] The present invention sets a supervision module, and each node selects two nodes closest to it in a straight-line distance as its exclusive receiving nodes. The node sends its monitoring data to its two exclusive receiving nodes at a regular period, thereby avoiding the possibility of loss of monitoring data due to node failure. At the same time, when the node sending the monitoring data sends the monitoring data to the exclusive node at a regular period, the exclusive node will send a received signal to the node sending the monitoring data, so that both parties can monitor whether the other party is working normally. When either party does not receive the monitoring data or the received signal, the node immediately sends an abnormal signal to the supervision module to notify the node of the abnormality. In this way, the working status of the adjacent nodes can be monitored through other related nodes, avoiding the situation where the node failure cannot be discovered for a long time.

[0014] The present invention presets selection conditions, and the node sending monitoring data selects two exclusive receiving nodes, and the z-axis height of the node pipeline of one of the exclusive receiving nodes is greater than the z-axis height of the node pipeline of the node sending the monitoring data, and the z-axis height of the node pipeline of the other exclusive receiving node is less than the z-axis height of the node pipeline of the node sending the monitoring data, that is, the vertical heights of the two nodes are located on the upper and lower sides of the node sending the monitoring data. When the node sending the monitoring data is blocked or the water level is too high, the node valves located above its vertical height can be reduced to reduce the runoff, and the node valves located below its vertical height can be increased to increase the runoff, which helps to clear the blockage and lower the water level.

[0015] The present invention presets a threshold value for the number of monitoring data received by a node. When the number of monitoring data sent by multiple other nodes received by a node exceeds a threshold, it means that the node is connected to multiple pipeline nodes and is close to other nodes, indicating that there is a high possibility of problems with the node. Therefore, the monitoring data of the node is directly sent to the data module, which is directly supervised by the supervision module to avoid problems with key supervision nodes and process them more quickly. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0017] Figure 1 This is a system block diagram of the intelligent supervision system for intensive pipe network construction provided by the present invention. DETAILED DESCRIPTION

[0018] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0019] In the description of the present invention, it should be noted that the terms "upper", "lower", "inner", "outer", "front end", "rear end", "two ends", "one end", "the other end" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance.

[0020] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "provided with", "connected", etc. should be understood in a broad sense. For example, "connected" 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 ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0021] See also Figure 1 ,The present invention is a smart supervision system for intensive pipe network construction, including a data module, a supervision module and an operation module; Data module: used to collect basic geographic data, underground pipe network data, manhole safety monitoring data, node video monitoring data, node water level monitoring data, and node pipeline height data from manhole covers through the data collection unit, and integrate all the collected data into the pipe network distribution data map for intuitive display through the data integration unit; the data integration unit first establishes a three-dimensional pipe network distribution map corresponding to the ground buildings and underground pipe networks based on the basic geographic data combined with the underground pipe network data and imports it into the three-dimensional coordinate system, calculates the three-dimensional coordinate points of all node pipes based on the height data of the node pipe from the manhole cover combined with the coordinates of the manhole cover directly above the node pipe in the three-dimensional coordinate system, sets a custom interaction button for each node manhole in the three-dimensional pipe network distribution map, clicks the custom interaction button to pop up the manhole safety monitoring data, node water quality monitoring data and node water level monitoring data, wherein the node includes each manhole cover and the node pipe directly below it; Operation module: including an ultrasonic level sensor fixedly installed in the middle of the top of the inner wall of the node pipeline, which is used to monitor the node water level monitoring data of the node pipeline position, and also including a camera installed at the bottom of the node manhole cover, which is used to obtain the manhole safety monitoring data and node video monitoring data. The node video monitoring data includes whether the node pipeline is blocked and the visual turbidity of the node pipeline water quality; the operation module operates the monitoring elements installed at each node position according to the request of the data module to collect the monitoring data of each node pipeline network; Supervision module: used to supervise the operating status of each node in the pipeline network; a single-chip microcomputer is fixedly sealed at the bottom of the manhole cover of each node, and each node single-chip microcomputer receives the real-time node water level monitoring data sent by the ultrasonic liquid level sensor of the corresponding node, and receives the manhole safety monitoring data and node video monitoring data captured by the camera; each node selects two exclusive receiving nodes according to the preset selection conditions, and sends real-time node monitoring data to the two exclusive receiving nodes at specific intervals. The two exclusive receiving nodes receive, process, save and mark the data source, and at the same time, the exclusive receiving node sends a received signal to the node that sends the monitoring data; if the exclusive receiving node does not receive the real-time node monitoring data sent by the node that sends the monitoring data or the node that sends the monitoring data does not receive the received signal sent by any of the two exclusive receiving nodes, the corresponding node sends an abnormal signal to the supervision module, and the supervision module retrieves the monitoring data of the corresponding node to determine whether an abnormality occurs; The preset selection conditions include the following: the node sending the monitoring data selects two exclusive receiving nodes that are closest to it in a straight-line distance, wherein the z-axis height of the node pipeline of one of the exclusive receiving nodes is greater than the z-axis height of the node pipeline of the node sending the monitoring data, and the z-axis height of the node pipeline of the other exclusive receiving node is less than the z-axis height of the node pipeline of the node sending the monitoring data; Among them, the supervision module presets a threshold for the number of monitoring data received by the node. If the number of real-time monitoring data sources of other nodes received by node A exceeds the threshold, node A is determined to be a key supervision node, and node A directly sends the node real-time monitoring data to the supervision module for direct supervision by the supervision module; Among them, when the dedicated receiving node receives and processes the monitoring data, according to the preset node water level monitoring data threshold, manhole safety monitoring data threshold and node video monitoring data threshold, if any of the received node real-time monitoring data exceeds the threshold, it is judged as abnormal data and output to the data module by the data acquisition unit.

[0022] Among them, the data module also includes an abnormal data processing unit, which is used to process the abnormal data collected by the data acquisition unit, and judge the problems of the corresponding nodes according to the abnormal data information. If the node water level monitoring data is abnormal, the water pressure of the upstream node pipeline is reduced to divert the sewage flowing through the node pipeline; if the manhole safety monitoring data is abnormal, the staff will be dispatched to the node according to the node coordinate position to perform maintenance on the manhole; if the node video data is abnormal, it is determined whether the node pipeline is in danger of blockage, and according to the abnormal situation, the staff will be dispatched to the node according to the node coordinate position to clean and block the node pipeline, and at the same time, the amount of flocculant added to the downstream sewage treatment pool will be adjusted according to the visual degree of turbidity of the node pipeline water quality.

[0023] Among them, the basic geographic data obtained include the distribution location of ground buildings, terrain and area data; the underground pipeline network data obtained include the buried depth of the underground pipeline network, pipeline distribution location, manhole location, pipe diameter and pipeline length data; a three-dimensional model is established based on the basic geographic data, and then the underground pipeline network data is merged with the three-dimensional model to form a three-dimensional pipeline network distribution map.

[0024] Among them, the manhole cover and the node pipe are connected through a manhole. The three-dimensional coordinate point of the node pipe is calculated by subtracting the height of the node pipe from the manhole cover from the z-axis height of the manhole cover coordinate point, which is the z-axis data of the three-dimensional coordinate point of the node pipe. The node pipe is located directly below the node manhole cover. Therefore, the x-axis and y-axis data of the three-dimensional coordinate point of the node pipe are consistent with the x-axis and y-axis data of the three-dimensional coordinate point of the node manhole cover.

[0025] Among them, the operation module regularly operates the monitoring elements at each node location to collect the pipeline network monitoring data of each node according to the request of the data module. The time interval for the operation module to collect pipeline network monitoring data is greater than the time interval for the node in the supervision module to simultaneously send real-time node monitoring data to two exclusive receiving nodes.

[0026] Among them, the preset selection conditions for selecting the two exclusive receiving nodes closest to the sending monitoring data node in a straight-line distance include the following: the nodes are connected through a wireless network, so the node sending the monitoring data sends a signal to all nodes within the coverage range according to its wireless network coverage range, and according to the signal strength received by all nodes within the coverage range, the distance of each node within the coverage range from the sending monitoring data node is calculated by the loss model formula in the radio wave transmission process in formula (1): (1) Among them: is the signal power received by the nodes within the coverage area; The transmission power of the wireless network of the node that sends the monitoring data; The gain of the node signal transmitter that sends monitoring data; is the gain of the receiving end of the node within the coverage area; is the wavelength of the radio wave; L is the loss coefficient; d is the distance between the node sending the monitoring data and the nodes within the coverage range.

[0027] The working principle of the present invention is as follows: basic geographic data, underground pipe network data, manhole safety monitoring data, node video monitoring data, node water level monitoring data, and node pipeline distance manhole cover height data are collected through a data collection unit, and all collected data are integrated into a three-dimensional pipe network distribution map for intuitive display through a data integration unit; the data integration unit first establishes a three-dimensional pipe network distribution map corresponding to ground buildings and underground pipe networks based on basic geographic data combined with underground pipe network data and imports it into a three-dimensional coordinate system, and then integrates the node pipeline distance manhole cover height data into the manhole cover directly above the node pipeline according to the node pipeline distance manhole cover height data. The three-dimensional coordinate points of all node pipelines are calculated in the three-dimensional coordinate system. Custom interaction buttons are set for each node manhole in the three-dimensional pipe network distribution map. Click the custom interaction button to pop up the manhole safety monitoring data, node water quality monitoring data and node water level monitoring data. Among them, the node includes each manhole cover and the node pipeline directly below it. The bottom of each node manhole cover is fixedly sealed with a single-chip microcomputer. Each node single-chip microcomputer receives the real-time node water level monitoring data sent by the ultrasonic liquid level sensor of the corresponding node, and receives the manhole safety monitoring data and node video monitoring data captured by the camera; each node Two exclusive receiving nodes are selected according to the preset selection conditions, and real-time node monitoring data is sent to the two exclusive receiving nodes at the same time at specific intervals. The two exclusive receiving nodes receive and process the monitoring data, save and mark the data source, and at the same time, the exclusive receiving node sends a received signal to the node that sends the monitoring data; if the exclusive receiving node does not receive the real-time node monitoring data sent by the node that sends the monitoring data or the node that sends the monitoring data does not receive the received signal sent by any of the two exclusive receiving nodes, the corresponding node sends an abnormal signal to the supervision module, and the supervision module retrieves the monitoring data of the corresponding node to determine whether an abnormality occurs. A threshold value for the number of node receiving monitoring data is preset in the supervision module. If the number of sources of the remaining node real-time monitoring data received by node A exceeds the threshold, node A is determined to be a key supervision node, and node A directly sends the node real-time monitoring data to the supervision module for direct supervision by the supervision module. When the exclusive receiving node receives and processes the monitoring data, according to the preset node water level monitoring data threshold, manhole safety monitoring data threshold and node video monitoring data threshold, if any item of the received node real-time monitoring data exceeds the threshold, it is determined to be abnormal data and output to the data module by the data acquisition unit.

[0028] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. An intelligent supervision system for intensive pipe network construction, characterized by: Includes data module, supervision module and operation module; Data module: used to collect basic geographic data, underground pipe network data, manhole safety monitoring data, node video monitoring data, node water level monitoring data, and node pipeline height data from manhole cover through a data collection unit, and integrate all collected data into a three-dimensional pipe network distribution map for intuitive display through a data integration unit; the data integration unit first establishes a three-dimensional pipe network distribution map corresponding to ground buildings and underground pipe networks based on basic geographic data combined with underground pipe network data and imports it into a three-dimensional coordinate system, calculates the three-dimensional coordinate points of all node pipes based on the height data of the node pipe from the manhole cover combined with the coordinates of the manhole cover directly above the node pipe in the three-dimensional coordinate system, sets a custom interaction button for each node manhole in the three-dimensional pipe network distribution map, clicks the custom interaction button to pop up a window of manhole safety monitoring data, node water quality monitoring data, and node water level monitoring data, wherein the node includes each of the manhole covers and the node pipes directly below them; Operation module: including an ultrasonic level sensor fixedly arranged at the middle of the top of the inner wall of the node pipeline, used to monitor the node water level monitoring data of the node pipeline position, and also including a camera arranged at the bottom of the node manhole cover, used to obtain the manhole safety monitoring data and the node video monitoring data, the node video monitoring data includes whether the node pipeline is blocked and the visual turbidity of the node pipeline water quality; the operation module operates the monitoring elements arranged at each node position according to the request of the data module to collect the monitoring data of each node pipeline network; Supervision module: used to supervise the operating status of each node in the pipeline network; a single-chip microcomputer is fixedly and sealed at the bottom of the manhole cover of each node, and the single-chip microcomputer of each node receives the real-time node water level monitoring data sent by the ultrasonic liquid level sensor of the corresponding node, and receives the manhole safety monitoring data and node video monitoring data captured by the camera; each node selects two exclusive receiving nodes according to preset selection conditions, and sends real-time node monitoring data to the two exclusive receiving nodes at specific intervals. The two exclusive receiving nodes receive and process the monitoring data, save and mark the data source, and at the same time, the exclusive receiving node sends a received signal to the node sending the monitoring data; if the exclusive receiving node does not receive the real-time node monitoring data sent by the node sending the monitoring data or the node sending the monitoring data does not receive the received signal sent by any of the two exclusive receiving nodes, the corresponding node sends an abnormal signal to the supervision module, and the supervision module retrieves the monitoring data of the corresponding node to determine whether an abnormality occurs; The preset selection conditions include the following: the node sending the monitoring data selects two exclusive receiving nodes that are closest to it in a straight-line distance, wherein the z-axis height of the node pipeline of one of the exclusive receiving nodes is greater than the z-axis height of the node pipeline of the node sending the monitoring data, and the z-axis height of the node pipeline of the other exclusive receiving node is less than the z-axis height of the node pipeline of the node sending the monitoring data; Wherein, the monitoring module presets a threshold value for the number of monitoring data received by the node. If the number of real-time monitoring data sources of other nodes received by node A exceeds the threshold, node A is determined to be a key monitoring node, and node A directly sends the node real-time monitoring data to the monitoring module for direct supervision by the monitoring module; Among them, when the dedicated receiving node receives and processes the monitoring data, according to the preset node water level monitoring data threshold, manhole safety monitoring data threshold and node video monitoring data threshold, if any data of the received node real-time monitoring data exceeds the threshold, it is judged as abnormal data and output to the data module by the data acquisition unit.

2. According to claim 1, the intelligent supervision system for intensive pipe network construction is characterized in that: The data module also includes an abnormal data processing unit, which is used to process the abnormal data collected by the data collection unit, and determine the problems of the corresponding nodes based on the abnormal data information. If the node water level monitoring data is abnormal, the water pressure of the upstream node pipeline is reduced to divert the sewage flowing through the node pipeline; if the manhole safety monitoring data is abnormal, staff are dispatched to the node according to the node coordinate position to perform maintenance on the manhole; if the node video data is abnormal, it is determined whether the node pipeline is in danger of blockage, and according to the abnormal situation, staff are dispatched to the node according to the node coordinate position to clean the node pipeline and at the same time adjust the amount of flocculant added to the downstream sewage treatment pool according to the visual degree of turbidity of the node pipeline water quality.

3. According to claim 2, a smart supervision system for intensive pipe network construction is characterized in that: The basic geographic data obtained include the distribution location of ground buildings, terrain and area data; the underground pipe network data obtained include the buried depth of the underground pipe network, pipeline distribution location, manhole location, pipe diameter and pipeline length data; a three-dimensional model is established based on the basic geographic data, and then the underground pipe network data is merged with the three-dimensional model to form a three-dimensional pipe network distribution map.

4. According to claim 3, the intelligent supervision system for intensive pipe network construction is characterized in that: The manhole cover and the node pipe are connected through a manhole. The three-dimensional coordinate point of the node pipe is calculated by subtracting the height of the node pipe from the manhole cover from the z-axis height of the manhole cover coordinate point, which is the z-axis data of the three-dimensional coordinate point of the node pipe. The node pipe is located directly below the node manhole cover, so the x-axis and y-axis data of the three-dimensional coordinate point of the node pipe are consistent with the x-axis and y-axis data of the three-dimensional coordinate point of the node manhole cover.

5. According to claim 4, a smart supervision system for intensive pipe network construction is characterized in that: The operation module periodically operates the monitoring elements at each node location to collect the pipeline network monitoring data of each node according to the request of the data module. The time interval for collecting the pipeline network monitoring data by the operation module is greater than the time interval for the node in the supervision module to simultaneously send real-time node monitoring data to two exclusive receiving nodes.

6. According to claim 5, the intelligent supervision system for intensive pipe network construction is characterized in that: The preset selection condition for selecting two exclusive receiving nodes closest to the straight-line distance of the node sending the monitoring data includes the following: the nodes are connected via a wireless network, so the node sending the monitoring data sends a signal to all nodes within the coverage range according to its wireless network coverage range, and the distance between each node within the coverage range and the node sending the monitoring data is calculated according to the signal strength received by all nodes within the coverage range through the loss model formula in the radio wave transmission process in formula (1): (1) Among them: is the signal power received by the nodes within the coverage area; The transmission power of the wireless network of the node that sends the monitoring data; The gain of the node signal transmitter that sends monitoring data; is the gain of the receiving end of the node within the coverage area; is the wavelength of the radio wave; L is the loss coefficient; d is the distance between the node sending the monitoring data and the nodes within the coverage range.

7. The intelligent supervision system for intensive pipe network construction according to claim 6 is characterized in that: The supervision system also includes a functional module, which is used to operate the three-dimensional pipe network distribution map, including the following contents: Quick tools include layer management, transparency, pipeline legend, map snapshot, and screen clearing; Map browsing includes full-screen display, collision, dual-screen comparison, dual-screen linkage and dual-screen settings; The query positioning includes coordinate positioning and attribute query. The coordinate positioning is used to quickly locate the node under the condition of known node coordinates; the attribute query is used to query the attribute information of the target node pipeline, wherein the attribute information includes the three-dimensional spatial coordinates of the target node pipeline, pipeline radius, pipeline material and pipeline laying time; Pipeline statistics are used to count and output the number and length of pipelines within a region, including pipe diameter segment statistics, point property classification statistics, pipe diameter classification summary and material classification summary; Measurement is used to realize distance measurement and area measurement functions, including node horizontal distance, vertical distance, spatial distance, surface distance, horizontal area and surface area measurement functions; Annotation is used to realize the on-map annotation and display function of pipeline information, including elevation, pipe diameter, coordinates, distance, compound, flag and slope annotation functions.

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