A method and system for online monitoring and management of water service status of smart water service
By monitoring the health and voltage changes of water pipelines online, combined with the monitoring strategies of linked lists and hierarchical structures, the problem of difficult to identify and locate the leakage location of water pipelines in the existing technology is solved, and efficient and accurate positioning and handling of leakage locations is achieved.
Patent Information
- Application Number
- CN202411920047.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-25
- Publication Date
- 2025-03-07
- Estimated Expiration
- 2044-12-25
AI Technical Summary
It is difficult for the prior art to fully and effectively identify and locate the leaking location in large-scale and long-distance water pipelines.
By demarcating the monitoring area, drawing a plan distribution map of the water facilities, dividing the water pipeline into segments, building a linked list, mounting the level, monitoring voltage changes, and adjusting the water pressure, online monitoring of the water pipeline status and accurate positioning of the leakage location are achieved.
It improves the efficiency, accuracy and workload of water leakage events, and can greatly reduce the workload of water leakage location inspection while ensuring the voltage change monitoring effect.
Smart Images

Figure CN119357877B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of online monitoring technology, and in particular to an online monitoring management method and system for water service status of a smart water service. Background Art
[0002] Water pipeline leakage not only causes waste of water resources, but may also lead to infrastructure damage and economic losses. Moreover, since water pipelines are generally buried underground, leakage problems are often difficult to detect and deal with in a timely manner, and may even lead to serious consequences.
[0003] Therefore, water leakage detection is an indispensable part of water affairs. Smart water affairs refers to the use of modern information technology, the Internet of Things and big data analysis to monitor and manage water resources in real time. By using smart water affairs, the status of water pipelines can be monitored online and the efficiency of handling water leakage incidents can be greatly improved.
[0004] In actual production, whether a water pipeline is leaking is generally determined by using equipment such as infrared thermal imaging instruments and acoustic leak detectors; however, the detection range of these devices is limited, and in large-scale and long-distance water pipelines, it is impossible to fully and effectively identify and locate the leak position; therefore, "how to determine the leak position in the water pipeline" is the technical problem that the present invention needs to solve. Summary of the invention
[0005] The purpose of the present invention is to provide a method and system for online monitoring and management of water status of smart water services, so as to solve the problem of "how to determine the leakage location in the water pipeline" raised in the above background technology.
[0006] To achieve the above object, the present invention provides the following technical solutions:
[0007] A method for online monitoring and management of water service status of smart water services, the method comprising:
[0008] S100: Delineate the monitoring area of smart water affairs, draw a plan distribution map of water facilities in the monitoring area, mark water pipelines, and divide the water pipelines into several segments, obtain influencing factors, configure the health of each segment, construct nodes corresponding to the segments, and transfer the health to the corresponding nodes. Based on the water flow direction of the water pipeline, the nodes are numbered incrementally;
[0009] S200: constructing a linked list consisting of a front end and a back end, migrating the nodes whose health is greater than a preset threshold to the front end, and migrating the remaining nodes to the back end, wherein the nodes are arranged in the front end and the back end in the order of numbers;
[0010] S300: mounting a plurality of levels in the front end, wherein each level corresponds to a health interval, clustering the nodes in the front end into different levels according to the interval, setting the number of windings of the conductive core wire of each level, and configuring the corresponding relationship between the node and the number of windings through the levels;
[0011] In the back end, a single conductive core is used to connect all nodes;
[0012] S400: Editing a multi-level monitoring strategy and integrating it into the linked list, collecting voltage changes of each node, intermittently activating the multi-level monitoring strategy at a preset frequency, and determining whether there is a node in the linked list whose voltage change exceeds a preset threshold;
[0013] If so, define the suspected leakage location, adjust the water pressure of the water pipeline where the suspected leakage location is located, and determine whether there is a synchronous change relationship between the water pressure change and the voltage change. If so, trace back the number of the suspected leakage location and send the number to the preset terminal. If not, reduce the health of the node and update the linked list.
[0014] Furthermore, the S100 includes:
[0015] Find out important equipment in the water facility and add the important equipment to the segment;
[0016] Traversing the influencing factors of each of the segments, the influencing factors at least include: the age, laying area and material of the water pipeline;
[0017] Based on the influencing factors and health, an adjustment method of the segment is determined, wherein the adjustment method at least includes: merging and re-splitting.
[0018] Furthermore, the S100 further includes:
[0019] Using a geographic information system in the prior art, locate the location of each segment, generate a label, and insert the label into the corresponding segment;
[0020] The segments whose health level is lower than a preset threshold are found and defined as abnormal segments, and the abnormal segments are sent to the preset terminal.
[0021] Further, the S200 includes:
[0022] Obtain the construction task of the water pipeline, find out the node corresponding to the construction task, obtain the modification point, and update the health of the modification point;
[0023] The position of the modification point in the linked list is re-determined.
[0024] Further, the S300 includes:
[0025] Inserting a root node into the linked list, integrating the levels, intervals and winding circles, generating a monitoring ladder diagram, and uploading the monitoring ladder diagram to the root node;
[0026] Predicting the health of the modification point after the construction task is completed;
[0027] Using the predicted health, query the monitoring ladder diagram, traverse the target number of laps, and integrate the modification points and the target number of laps into the construction task.
[0028] Further, the S300 includes:
[0029] Using the multi-level monitoring strategy, all nodes in the linked list are monitored;
[0030] The multi-level monitoring strategy is:
[0031] In the front end, along the water flow direction, it is determined in turn whether the voltage change in each node exceeds a preset threshold;
[0032] In the back end, after the nodes are linked, the head and tail are defined to determine whether the voltage changes of the head and tail exceed a preset threshold.
[0033] Furthermore, the method further comprises:
[0034] Record the time of voltage change, generate a historical data set using health, voltage change and corresponding time, and input the historical data set into a pre-built machine learning model;
[0035] A potential danger point in the node is identified, and the water pressure is adjusted according to a voltage change at the potential danger point.
[0036] Furthermore, the system comprises:
[0037] A numbering module is used to define the monitoring area of smart water services, draw a plan distribution map of water facilities in the monitoring area, mark water pipelines, and divide the water pipelines into several segments, obtain influencing factors, configure the health of each segment, construct nodes corresponding to the segments, and transfer the health to the corresponding nodes. Based on the water flow direction of the water pipeline, the nodes are numbered incrementally;
[0038] An arrangement module is used to construct a linked list consisting of a front end and a back end, migrate the nodes whose health is greater than a preset threshold to the front end, and migrate the remaining nodes to the back end, wherein the nodes are arranged in the front end and the back end in the order of numbers;
[0039] A clustering module, used to mount several levels into the front end, wherein each level corresponds to a health interval, cluster the nodes in the front end into different levels according to the interval, set the number of windings of the conductive core wire of each level, and configure the corresponding relationship between the node and the number of windings through the levels;
[0040] In the back end, a single conductive core is used to connect all nodes;
[0041] A judgment module is used to edit a multi-level monitoring strategy and integrate it into the linked list, collect the voltage change of each node, intermittently activate the multi-level monitoring strategy according to a preset frequency, and judge whether there is a node in the linked list whose voltage change exceeds a preset threshold;
[0042] If so, define the suspected leakage location, adjust the water pressure of the water pipeline where the suspected leakage location is located, and determine whether there is a synchronous change relationship between the water pressure change and the voltage change. If so, trace back the number of the suspected leakage location and send the number to the preset terminal. If not, reduce the health of the suspected leakage location and update the linked list.
[0043] Furthermore, the numbering module includes:
[0044] An adding unit, used for finding out important equipment in the water facility and adding the important equipment to the segment;
[0045] A traversal unit, used to traverse the influencing factors of each of the segments, wherein the influencing factors at least include: the age, laying area and material of the water pipeline;
[0046] An adjustment unit, configured to determine an adjustment method of the segment according to the influencing factors and health, wherein the adjustment method at least includes: merging and re-splitting;
[0047] An inserting unit, used to locate the position of each segment by using a geographic information system in the prior art, generate a label, and insert the label into the corresponding segment;
[0048] The sending unit is used to find out the segment whose health level is lower than a preset threshold, define it as an abnormal segment, and send the abnormal segment to the preset terminal.
[0049] Furthermore, the arrangement module includes:
[0050] An updating unit, used to obtain the construction task of the water pipeline, find out the node corresponding to the construction task, obtain the modification point, and update the health of the modification point;
[0051] The rearrangement unit is used to redetermine the position of the modification point in the linked list.
[0052] Compared with the prior art, the present invention has the following beneficial effects:
[0053] By drawing a plane distribution map, the layout of the water pipeline can be displayed intuitively. By calculating the health of the water pipeline, the usage of the water pipeline can be quantified. By constructing a linked list, different voltage change monitoring methods can be formulated according to the health of the water pipeline. By triggering a multi-level monitoring strategy, the workload of leak location investigation can be greatly reduced while ensuring the voltage change monitoring effect. By adjusting the water pressure level, the suspected leak location in the water pipeline can be verified, thereby further improving the accuracy of the leak location. BRIEF DESCRIPTION OF THE DRAWINGS
[0054] Figure 1 A flowchart of a method for online monitoring and management of water service status of a smart water service provided by an embodiment of the present invention;
[0055] Figure 2 A first sub-process flowchart of the method for online monitoring and management of water service status of smart water services provided by an embodiment of the present invention;
[0056] Figure 3 A second sub-flow chart of the method for online monitoring and management of water service status of smart water services provided by an embodiment of the present invention;
[0057] Figure 4 A third sub-flow chart of the water service status online monitoring and management method of the smart water service provided by an embodiment of the present invention;
[0058] Figure 5 A block diagram of the composition of the online monitoring and management system for water affairs status of smart water affairs provided by an embodiment of the present invention;
[0059] Figure 6 A block diagram of the composition of the numbering module in the online monitoring and management system for water affairs status of the smart water affairs provided by an embodiment of the present invention;
[0060] Figure 7 A block diagram of the composition of the arrangement module in the water affairs status online monitoring and management system of the smart water affairs provided by the embodiment of the present invention;
[0061] Figure 8 A block diagram of the composition of the clustering module in the online monitoring and management system of the water status of the smart water service provided in an embodiment of the present invention. DETAILED DESCRIPTION
[0062] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.
[0063] In Example 1, Figure 1 The implementation process of the online monitoring and management method for water service status of the smart water service provided by the embodiment of the present invention is shown, and is described in detail below:
[0064] S100: Define the monitoring area of smart water services, draw a plan distribution map of water facilities in the monitoring area, mark the water pipelines, and divide the water pipelines into several segments, obtain influencing factors, configure the health of each segment, construct nodes corresponding to the segments one by one, and transfer the health to the corresponding nodes, and number the nodes incrementally based on the water flow direction of the water pipelines.
[0065] Define the monitoring area of smart water services, draw a plan distribution map of water facilities, and mark the water pipelines in the plan distribution map; divide the water pipelines into multiple segments according to a certain distance, or the material and location of the water pipelines, and determine the influencing factors of the water pipelines, where the influencing factors are the possible causes of water pipeline leakage; determine the health of each segment based on the influencing factors, the greater the health, the greater the possibility of water pipeline leakage; construct a node for each segment; in this embodiment, the node is the basic unit for storing data; transfer the health of each segment to the corresponding node, and number the nodes.
[0066] S200: construct a linked list consisting of a front end and a back end, migrate the nodes whose health is greater than a preset threshold to the front end, and migrate the remaining nodes to the back end, wherein the nodes are arranged in the front end and the back end in the order of numbers.
[0067] Construct a linked list, where the linked list is a collection of nodes, but each node in the linked list is dynamic, and the nodes may be merged or split; split the linked list into the front end and the back end, and determine the size of the health degree and the preset threshold. If the health degree of the node is greater than the preset threshold, the corresponding node is migrated to the front end, and if it is less than or equal to the threshold, the corresponding node is migrated to the back end; the nodes in the front end and the back end are arranged in order of number.
[0068] S300: mounting a plurality of levels in the front end, wherein each level corresponds to a health interval, clustering the nodes in the front end into different levels according to the interval, setting the number of windings of the conductive core wire of each level, and configuring the corresponding relationship between the node and the number of windings through the levels;
[0069] In the back end, all nodes are linked using a single conductive core wire.
[0070] In the front end, multiple levels are mounted, each level corresponds to a health interval, and nodes are classified into corresponding levels according to the health. Each level also corresponds to a winding circle number, that is, each node corresponds to a winding circle number.
[0071] In the present application, a conductive core wire is wound around the outside of a water pipeline and the voltage change of the conductive core wire is monitored to determine whether the water pipeline is leaking. When the water pipeline leaks, water comes into contact with the conductive core wire, causing a change in resistance, thereby causing a change in the voltage of the conductive core wire. Since the health of each segment of the water pipeline is different, by setting a different number of winding turns, blind spots in monitoring can be avoided. For water pipelines with higher health, more winding turns are set, and vice versa.
[0072] For water pipelines whose health level is less than a threshold, the conductive core wire can be directly fixed to the bottom of the water pipeline. No matter where the water pipeline leaks, its bottom will be in contact with water.
[0073] S400: Editing a multi-level monitoring strategy and integrating it into the linked list, collecting voltage changes of each node, intermittently activating the multi-level monitoring strategy at a preset frequency, and determining whether there is a node in the linked list whose voltage change exceeds a preset threshold;
[0074] If so, define the suspected leakage location, adjust the water pressure of the water pipeline where the suspected leakage location is located, and determine whether there is a synchronous change relationship between the water pressure change and the voltage change. If so, trace back the number of the suspected leakage location and send the number to the preset terminal. If not, reduce the health of the suspected leakage location and update the linked list.
[0075] Using a multi-level monitoring strategy, the voltage change of each node is collected to determine whether the voltage change exceeds the preset threshold. If so, it means that the corresponding water pipeline may be leaking. At this time, the corresponding water pipeline is determined as a suspected leaking location, and the water pressure at the suspected leaking location is adjusted to determine whether the voltage at the suspected leaking location will change at the same time. If so, it means that such a simultaneous change relationship is caused by the different leakage amounts. Therefore, it means that a leak has indeed occurred at the suspected leaking location. After determining that a leak has occurred, the number of the node corresponding to the suspected leaking location is traced back and sent to the preset terminal, where the preset terminal can be a terminal for water pipeline maintenance personnel. The multi-level monitoring strategy uses different monitoring strategies to monitor the front end and the back end respectively.
[0076] If the voltage change and water pressure change at the suspected leak location are not synchronized, the health of the suspected leak location is reduced and the suspected leak location is monitored intensively.
[0077] In Example 2, Figure 2 The implementation process of the online monitoring and management method for water service status of the smart water service provided by the embodiment of the present invention is shown. S100 is described in detail below:
[0078] S101: Find out important equipment in the water facility and add the important equipment to the segment.
[0079] Find out the important equipment in the water facilities, mark the location of the important equipment in the plane distribution, and add the important equipment to the segment; in addition to winding the conductive core wire on the water pipeline, you can also wind the conductor core wire on the important equipment.
[0080] S102: Traverse out the influencing factors of each of the segments, where the influencing factors at least include: the age, laying area and material of the water pipeline.
[0081] S103: Based on the influencing factors and health, determining an adjustment method for the segment, wherein the adjustment method at least includes: merging and re-splitting.
[0082] The segments are adjusted according to the influencing factors and health. For example, if the difference in health between two adjacent segments is small, the two adjacent segments can be merged. On the contrary, if there are two areas with large differences in health in the water pipeline in the same segment, the water pipeline needs to be split again.
[0083] In Example 3, Figure 2 The implementation process of the online monitoring and management method for water service status of the smart water service provided by the embodiment of the present invention is shown. S100 is further described in detail below, as follows:
[0084] S104: using a geographic information system in the prior art to locate the position of each segment, generate a label, and insert the label into the corresponding segment.
[0085] Use geographic information systems to determine the location of each segment. In real life, since water pipelines are buried underground, the use of geographic information systems can more intuitively display the location of the segments, use the locations to generate labels, and insert the labels into the corresponding segments.
[0086] S105: Find the segment whose health level is lower than the preset threshold, define it as an abnormal segment, and send the abnormal segment to the preset terminal.
[0087] The segments whose health level is lower than the preset threshold are defined as abnormal segments, and the abnormal segments are sent to the preset terminal so as to focus on monitoring the abnormal segments.
[0088] In Example 4, Figure 3 The implementation process of the online monitoring and management method for water service status of the smart water service provided by the embodiment of the present invention is shown, and S200 is described in detail below, as follows:
[0089] S201: Acquire the construction task of the water pipeline, find out the node corresponding to the construction task, obtain the modification point, and update the health of the modification point.
[0090] Obtain the construction task of the water pipeline, determine the corresponding node, and determine the node as the modification point; for example, due to the needs of municipal construction, the water pipeline at A is excavated. At this time, the modification point is the node corresponding to the water pipeline at A, and the health of the water pipeline at this node is updated.
[0091] S202: Re-determine the position of the modification point in the linked list.
[0092] When the health of the modification point is updated, the size of the health and the preset threshold is re-judged, and based on the judgment result, it is re-determined whether the modification point needs to be migrated in the linked list, where the position migration is from the back end to the front end, or from the front end to the back end.
[0093] In Example 5, Figure 4 The implementation process of the online monitoring and management method of the water service status of the smart water service provided by the embodiment of the present invention is shown, and S300 is described in detail as follows:
[0094] S301: inserting a root node into the linked list, integrating the levels, intervals and winding circles, generating a monitoring ladder diagram, and uploading the monitoring ladder diagram to the root node.
[0095] Insert a root node into the linked list and transfer the monitoring ladder diagram into the root node. The monitoring ladder diagram consists of several ladder items. Each ladder item is a level. Each level corresponds to a health interval and the number of winding circles. According to the health of the node, the node is classified into the corresponding ladder item (level).
[0096] S302: Predict the health of the modification point after the construction task is completed.
[0097] After the construction task is completed, the health of the modification point is predicted.
[0098] S303: Utilize the predicted health level to query the monitoring ladder diagram, traverse the target number of laps, and integrate the modification points and the target number of laps into the construction task.
[0099] When the construction task is completed, the predicted health status is used to query the monitoring ladder diagram, determine the target number of circles, and use the target number of circles to wind the water pipeline at the modification point.
[0100] In Example 6, Figure 4 The implementation process of the online monitoring and management method of the water service status of the smart water service provided by the embodiment of the present invention is shown. S300 is further described in detail as follows:
[0101] S304: Using the multi-level monitoring strategy, monitor all nodes in the linked list;
[0102] The multi-level monitoring strategy is:
[0103] In the front end, along the water flow direction, it is determined in turn whether the voltage change in each node exceeds a preset threshold;
[0104] In the back end, after the nodes are linked, the head and tail are defined to determine whether the voltage changes of the head and tail exceed a preset threshold.
[0105] A multi-level monitoring strategy is used to monitor the front end and the back end separately. In fact, in the front end, the voltage change needs to be judged on a node-by-node basis, while the voltage change of the nodes in the back end needs to be judged as a whole.
[0106] In Example 7, different from Example 1, in this embodiment of the present invention, the method further includes:
[0107] Record the time of voltage change, generate a historical data set using health, voltage change and corresponding time, and input the historical data set into a pre-built machine learning model;
[0108] A potential danger point in the node is identified, and the water pressure is adjusted according to a voltage change at the potential danger point.
[0109] When voltage changes are monitored, the time of the voltage change is recorded and historical data is constructed. The machine learning model is used to predict the next voltage change, identify the potential danger points in the nodes, and adjust the water pressure based on the voltage changes (leakage) at the potential danger points to avoid large-scale leakage in the water pipeline before maintenance personnel perform repairs.
[0110] After locating the leaking node, maintenance personnel need to use equipment such as infrared thermal imaging instruments and acoustic leak detectors to locate the specific location of the leak and carry out maintenance at the appropriate time.
[0111] Figure 5 The structure block diagram of the water affairs status online monitoring and management system of the smart water affairs provided by the embodiment of the present invention is shown. The water affairs status online monitoring and management system 1 of the smart water affairs includes:
[0112] The numbering module 11 is used to define the monitoring area of smart water affairs, draw a plan distribution map of water facilities in the monitoring area, mark the water pipelines, and divide the water pipelines into several segments, obtain influencing factors, configure the health of each segment, construct nodes corresponding to the segments, and transfer the health to the corresponding nodes. Based on the water flow direction of the water pipeline, the nodes are numbered incrementally;
[0113] The arrangement module 12 is used to construct a linked list consisting of a front end and a back end, migrate the nodes whose health is greater than a preset threshold to the front end, and migrate the remaining nodes to the back end, wherein the nodes are arranged in the front end and the back end in the order of numbers;
[0114] A clustering module 13 is used to mount several levels in the front end, wherein each level corresponds to a health interval, cluster the nodes in the front end into different levels according to the interval, set the number of windings of the conductive core wire of each level, and configure the corresponding relationship between the node and the number of windings through the levels;
[0115] In the back end, a single conductive core is used to connect all nodes;
[0116] The judgment module 14 is used to edit the multi-level monitoring strategy and integrate it into the linked list, collect the voltage change of each node, intermittently activate the multi-level monitoring strategy according to the preset frequency, and judge whether there is a node in the linked list whose voltage change exceeds the preset threshold;
[0117] If so, define the suspected leakage location, adjust the water pressure of the water pipeline where the suspected leakage location is located, and determine whether there is a synchronous change relationship between the water pressure change and the voltage change. If so, trace back the number of the suspected leakage location and send the number to the preset terminal. If not, reduce the health of the node and update the linked list.
[0118] Figure 6 The structure block diagram of the water service status online monitoring and management system of the smart water service provided by the embodiment of the present invention is shown, and the numbering module 11 includes:
[0119] An adding unit 111 is used to find out important equipment in the water facility and add the important equipment to the segment;
[0120] A traversal unit 112 is used to traverse the influencing factors of each of the segments, wherein the influencing factors at least include: the age, laying area and material of the water pipeline;
[0121] An adjustment unit 113, configured to determine an adjustment method of the segment according to the influencing factors and health, wherein the adjustment method at least includes: merging and re-splitting;
[0122] The inserting unit 114 is used to locate the position of each segment by using a geographic information system in the prior art, generate a label, and insert the label into the corresponding segment;
[0123] The sending unit 115 is used to find out the segment whose health level is lower than a preset threshold, define it as an abnormal segment, and send the abnormal segment to the preset terminal.
[0124] Figure 7 The structure diagram of the water service status online monitoring and management system of the smart water service provided by the embodiment of the present invention is shown, and the arrangement module 12 includes:
[0125] The updating unit 121 is used to obtain the construction task of the water pipeline, find out the node corresponding to the construction task, obtain the modification point, and update the health of the modification point;
[0126] A rearrangement unit 122, used to re-determine the position of the modification point in the linked list
[0127] Figure 8 The structure block diagram of the water service status online monitoring and management system of the smart water service provided by the embodiment of the present invention is shown, and the clustering module 13 includes:
[0128] An uploading unit 131 is used to insert a root node into the linked list, integrate the levels, intervals and winding circles, generate a monitoring ladder diagram, and upload the monitoring ladder diagram to the root node;
[0129] A prediction unit 132, used to predict the health of the modification point after the construction task is completed;
[0130] An integration unit 133 is used to query the monitoring ladder diagram using the predicted health level, traverse the target number of laps, and integrate the modification point and the target number of laps into the construction task;
[0131] A monitoring unit 134, configured to monitor all nodes in the linked list using the multi-level monitoring strategy;
[0132] The multi-level monitoring strategy is:
[0133] In the front end, along the water flow direction, it is determined in turn whether the voltage change in each node exceeds a preset threshold;
[0134] In the back end, after the nodes are linked, the head and tail are defined to determine whether the voltage changes of the head and tail exceed a preset threshold.
[0135] In actual use, by dividing the water pipeline into sections and monitoring the voltage changes in each section, the suspected leakage location can be found, the water pressure at the suspected leakage location can be changed, and it can be determined whether the suspected leakage location is leaking. If so, the maintenance personnel will be notified to use equipment such as infrared thermal imaging instruments and acoustic leak detectors to locate the specific location of the leakage and carry out maintenance when appropriate.
[0136] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.
[0137] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.
[0138] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.
Claims
1. A method for online monitoring and management of water service status of smart water service, characterized in that: The method comprises: S100: Delineate the monitoring area of smart water affairs, draw a plan distribution map of water facilities in the monitoring area, mark water pipelines, and divide the water pipelines into several segments, obtain influencing factors, configure the health of each segment, construct nodes corresponding to the segments, and transfer the health to the corresponding nodes. Based on the water flow direction of the water pipeline, the nodes are numbered incrementally; S200: constructing a linked list consisting of a front end and a back end, migrating the nodes whose health is greater than a preset threshold to the front end, and migrating the remaining nodes to the back end, wherein the nodes are arranged in the front end and the back end in the order of numbers; S300: mounting a plurality of levels in the front end, wherein each level corresponds to a health interval, clustering the nodes in the front end into different levels according to the interval, setting the number of windings of the conductive core wire of each level, and configuring the corresponding relationship between the node and the number of windings through the levels; In the back end, a single conductive core is used to connect all nodes; S400: Editing a multi-level monitoring strategy and integrating it into the linked list, collecting voltage changes of each node, intermittently activating the multi-level monitoring strategy at a preset frequency, and determining whether there is a node in the linked list whose voltage change exceeds a preset threshold; If yes, define the suspected leaking location, adjust the water pressure of the water pipeline where the suspected leaking location is located, and determine whether there is a synchronous change relationship between the water pressure change and the voltage change. If yes, trace back the number of the suspected leaking location and send the number to a preset terminal. If no, reduce the health of the suspected leaking location and update the linked list. Using the multi-level monitoring strategy, all nodes in the linked list are monitored; The multi-level monitoring strategy is: In the front end, along the water flow direction, it is determined in turn whether the voltage change in each node exceeds a preset threshold; In the back end, after the nodes are linked, the head and tail are defined to determine whether the voltage changes of the head and tail exceed a preset threshold.
2. The method for online monitoring and management of water service status of smart water service according to claim 1 is characterized in that: The S100 includes: Find out important equipment in the water facility and add the important equipment to the segment; Traversing the influencing factors of each of the segments, the influencing factors at least include: the age, laying area and material of the water pipeline; Based on the influencing factors and health, an adjustment method of the segment is determined, wherein the adjustment method at least includes: merging and re-splitting.
3. The method for online monitoring and management of water service status of smart water service according to claim 1 is characterized in that: The S100 further includes: Using a geographic information system in the prior art, locate the location of each segment, generate a label, and insert the label into the corresponding segment; The segments whose health level is lower than a preset threshold are found and defined as abnormal segments, and the abnormal segments are sent to the preset terminal.
4. The method for online monitoring and management of water service status of smart water service according to claim 1 is characterized in that: The S200 includes: Obtain the construction task of the water pipeline, find out the node corresponding to the construction task, obtain the modification point, and update the health of the modification point; The position of the modification point in the linked list is re-determined.
5. The method for online monitoring and management of water service status of smart water service according to claim 4 is characterized in that: The S300 includes: Inserting a root node into the linked list, integrating the levels, intervals and winding circles, generating a monitoring ladder diagram, and uploading the monitoring ladder diagram to the root node; Predicting the health of the modification point after the construction task is completed; Using the predicted health, query the monitoring ladder diagram, traverse the target number of laps, and integrate the modification points and the target number of laps into the construction task.
6. The method for online monitoring and management of water service status of smart water service according to claim 1 is characterized in that: The method further comprises: Record the time of voltage change, generate a historical data set using health, voltage change and corresponding time, and input the historical data set into a pre-built machine learning model; A potential danger point in the node is identified, and the water pressure is adjusted according to a voltage change at the potential danger point.
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