Intelligent heat supply operation and maintenance scheduling system integrating routing inspection and rush repair

Abstract

The invention provides an intelligent heat supply operation and maintenance scheduling system integrating inspection and repair. The intelligent heat supply operation and maintenance scheduling system comprises a monitoring data acquisition module used for acquiring temperature, flow and pressure data of a water supply end and a water return end; the real-time monitoring and early warning module is used for monitoring the running state of the heat supply pipe network in real time and quickly positioning the fault occurrence position; the intelligent routing inspection path planning module is used for planning an optimal routing inspection path according to the layout of the heat supply pipe network and the actual fault condition; the fault first-aid repair resource optimization configuration module is used for formulating a resource configuration strategy according to the planned optimal inspection path and the requirement of the maintenance task; and the user interaction and authority management module is used for providing a user interface, facilitating the operation and query of the user, and simultaneously sending a notification to the user in time to inform the maintenance progress and result. According to the invention, the optimal planning emergency repair route can be given according to the priority of the emergency repair task in combination with the actual condition of the road network, pipe network faults are efficiently eliminated, and the completion quality of the emergency repair task is improved.

Description

Technical Field

[0001] The present invention relates to the field of heating operation and maintenance technology, and in particular to an intelligent heating operation and maintenance dispatching system integrating inspection and emergency repair. Background Art

[0002] With the development of social economy and the acceleration of urbanization, the urban centralized heating system is gradually becoming larger and larger. In the urban heating industry, centralized heating is the most reliable and safest heating method, and its important position is gradually highlighted in urban development. At present, centralized heating has been widely recognized for its safety, reliability, energy saving and environmental protection, and energy saving and consumption reduction in the heating industry have also been widely valued.

[0003] The central heating system mainly includes three parts: heat source, heating network and heat users. The heating network is an important part of the heating system, responsible for transporting and distributing heat to heat users. At the same time, the heating network is also a difficult part in improving the reliability and safety of the central heating system. The popularity of the central heating system has also increased rapidly, which has further expanded and complicated the scale and structure of the heating network. Due to various factors such as the laying age and laying method of the pipeline, the materials and quality of the pipeline components, and the environment, the heating network has frequent failures. Most of the leakage failures are caused by pipeline corrosion and pipeline welding cracks, and there is no regularity in the time and location of occurrence. In addition, the pipe network system is complex and the pipeline route is long, which is difficult to detect and repair in time, which has a great impact on the safe operation of the heating network. The leakage of the heating network loses softened high-temperature hot water. Leakage will cause huge energy consumption, water resource loss and economic losses, affecting the heating of heat users in the heating area.

[0004] Since the infrastructure equipment of the pipeline network needs regular inspection and maintenance all year round, a large number of inspectors are needed to conduct inspections and report the results on site to prevent failures. As the scale of the pipeline network increases and the structure becomes more complex, the traditional operation and maintenance system lacks the grasp of the actual operation status of the pipeline, and cannot monitor the work quality of on-site staff such as remote inspectors and repair personnel, resulting in low inspection and repair efficiency. The traditional inspection method is relatively chaotic, and it is impossible to check whether a certain inspector has been to the site, verify whether the inspector has inspected a certain device, obtain the inspector's inspection trajectory, and even know the inspector's arrival and departure time. Summary of the invention

[0005] According to the technical problems raised above, a smart heating operation and maintenance dispatching system integrating inspection and repair is provided. The present invention can provide the optimal planned repair route according to the priority level of the repair task and the actual situation of the road network, effectively eliminate pipe network faults, and improve the quality of the repair task completion.

[0006] The technical means adopted by the present invention are as follows:

[0007] An intelligent heating operation and maintenance dispatching system integrating inspection and repair includes: a monitoring data acquisition module, a real-time monitoring and early warning module, an intelligent inspection path planning module, a fault repair resource optimization configuration module and a user interaction and authority management module, wherein:

[0008] The monitoring data acquisition module is used to obtain the temperature, flow rate and pressure data of the water supply and return ends;

[0009] The real-time monitoring and early warning module is used to monitor the operating status of the heating network in real time based on the acquired temperature, flow and pressure data, process and analyze the collected real-time data, and timely discover faults by comparing them with preset normal operating parameters, and issue early warnings for faults; by analyzing abnormal data, quickly locate the location of the fault;

[0010] The intelligent inspection route planning module is used to plan the optimal inspection route according to the layout of the heating network and the actual fault conditions;

[0011] The fault repair resource optimization configuration module is used to optimize the configuration of maintenance personnel, equipment and materials and formulate resource configuration strategies according to the planned optimal inspection path and maintenance task requirements;

[0012] The user interaction and authority management module is used to provide a user interface to facilitate user operations and inquiries, and to send notifications to users in a timely manner to inform them of maintenance progress and results.

[0013] Furthermore, the monitoring data acquisition module includes a controller, a temperature sensor, a pressure sensor and a flow sensor connected to the controller. The controller obtains measurement data from the temperature sensor, the pressure sensor and the flow sensor head, and displays, packages and transmits the data.

[0014] Furthermore, the monitoring data acquisition module is transmitted to the SCADA system by the communication device through a wired or wireless channel, and the script file automatically stores the data in the database to provide reference data for production, scheduling and operation management; wherein:

[0015] GIS spatial data and SCADA real-time data are stored physically independently, and indexing is used to quickly find the corresponding real-time data list in the static pipe network spatial data.

[0016] Furthermore, the real-time monitoring and early warning module includes a real-time monitoring module and a heating network facility early warning module, wherein:

[0017] The real-time monitoring module is connected to the heating network, supports monitoring the temperature, pressure, and flow operating parameters of each heat source and heat exchange station, and visualizes each data through the WebGIS terminal to reflect the operating status of the entire network in real time;

[0018] The heating network facility early warning module displays and warns the data of the heating network and its ancillary facilities in real time. When the system is initialized, it sets a normal threshold for each detection data. The background reads the data collected by the heating equipment sensor, and compares the uploaded data with the threshold. If it falls within the normal range, it is ignored. If it exceeds the set threshold, an alarm is immediately triggered and highlighted on the map to quickly locate the location of the fault.

[0019] Furthermore, the intelligent inspection route planning module accurately predicts the future fault occurrence time and maintenance time based on historical data and real-time monitoring data; formulates a corresponding maintenance plan based on the predicted fault time and maintenance time, including determining maintenance personnel, preparing required tools and spare parts, and arranging maintenance time and priority; specifically includes:

[0020] The dispatcher draws up an inspection plan based on the distribution of heating network facilities and the number of inspectors. The system plans the optimal inspection route for each inspector on the GIS map, determines the inspection points and routes that need to be inspected, and plans the total inspection time and the inspection time required for each facility and equipment.

[0021] The dispatcher checks the inspection route in chronological order to ensure the rationality and efficiency of the inspection plan. After the inspection plan is completed, the dispatcher sends the inspection plan to the designated inspector in the form of a work order, so that the inspector can view and download the inspection task on the mobile terminal in time.

[0022] Inspection personnel use mobile terminals to receive tasks, carry mobile devices when going out for inspection, query inspection plans online in real time, view network equipment information, record equipment names, equipment status, equipment failures, equipment operating conditions and operating parameters, use mobile terminals’ GPS satellites and positioning technology to locate inspectors in real time, and determine their inspection tracks by periodically obtaining inspectors’ location coordinates;

[0023] If the inspectors discover a facility, equipment or pipeline failure during the inspection, they will immediately report the detailed information of the incident.

[0024] Furthermore, the fault repair resource optimization configuration module is used to immediately provide a fault repair scheduling plan after a heating network fault occurs, assist the dispatcher in issuing repair tasks, achieve rapid response and emergency linkage, and the heating maintenance personnel enter the scene to repair the heating network fault as soon as possible to meet people's demand for heat; specifically including:

[0025] When allocating emergency repair resources, the emergency repair teams should be reasonably configured according to the nature of the emergency repair tasks and the skill level of the maintenance personnel, ensuring that each team has the corresponding professional skills and equipment. At the same time, the emergency repair routes should be optimized according to the traffic conditions and geographical location to shorten the emergency repair time;

[0026] According to the source of the repair report, the emergency repair of heating pipe network failures is divided into reports from citizens, 110 or 119 transfer orders, repair reports from automatic monitoring of the operation and maintenance system, and repair reports discovered during inspection and self-inspection;

[0027] For the case of a single repair team and multiple faults in the heating system, fuzzy logic is used to determine the priority of the event repair sequence. Its fuzzy membership function includes the road network status, estimated repair time, required resources, and the difficulty of recovery after repair to determine the severity and urgency of the heating fault. Finally, the repair sequence is determined according to the fault weight value.

[0028] During the emergency repair of heating failure, if one of the emergency repair tasks is interrupted, the supply of resources changes, or the duration of the emergency repair task changes, the system will quickly and reasonably allocate resources based on the real-time feedback of the emergency repair progress, and dynamically adjust the emergency repair plan to deal with emergencies during the emergency repair process to ensure that the emergency repair task can be completed on time;

[0029] The system automatically monitors the progress of the emergency repair process and automatically generates a daily emergency repair report to summarize fault information and archive the emergency repair work;

[0030] The time of emergency repair work and user evaluation are incorporated into the evaluation system. Based on text mining and fault clustering, the hierarchical analysis method-entropy weight method is used to evaluate the work quality and efficiency of the emergency repair personnel.

[0031] Based on the BP neural network algorithm, the repair time prediction model of the heating pipe network is trained to calculate the predicted repair time of each repair team when it is responsible for a specific fault. The historical fault repair time set is used as a sample data set to calculate the repair difficulty of different fault types and find the optimal number of hidden layer neurons.

[0032] In a multi-fault repair scenario, the faults are clustered according to their distance from the location of the repair vehicle and the available repair resources at the repair site. The number of clusters is the number of repair team locations. Priority is given to dispatching repair teams that are relatively close to the faults, and repair teams that are too far away from the fault location will not be dispatched. If one of the repair teams has insufficient supplies, the next-ranked repair team cluster with the closest distance is selected to determine the affiliation. During the repair process, the system pays attention to user needs and experience, and promptly informs users of the repair progress and provides users with necessary services and comfort measures.

[0033] Furthermore, the user interaction and authority management module manages system users, including adding users, setting user authority management functions, user operation log records and querying logged-in users, so as to ensure that the responsibility for heat supply management is clearer; wherein:

[0034] Setting up the user authority management function is the basic information of the management system. Administrators use this function to grant authority to users and manage all system users. Authorized users clearly limit the scope of their access to information. Authority management helps to manage the authority of different users. Authorized users can specify the resources that users in the system can access. Authority management allows the assignment of authority to users and administrators can view the status of user authority grants.

[0035] Furthermore, the integrated inspection and repair smart heating operation and maintenance dispatching system integrates a geographic information system (GIS) to display the geographical distribution and layout of the heating network; specifically:

[0036] The location, direction and connection relationship of the pipeline network are drawn through GIS, and the real-time operation status of the pipeline network is displayed at the same time; through real-time data visualization, operation and maintenance personnel can quickly understand the operation status of the pipeline network and discover abnormalities in time;

[0037] Based on the path planning algorithm that takes maintenance time constraints into account, the system generates optimal or suboptimal maintenance paths; the visualization function displays these paths in an intuitive way, including path length, maintenance time, and priority information;

[0038] When the pipeline network is abnormal or requires maintenance, the system will issue a warning or alarm through the visual interface; the visualization function sets different levels of access rights for different users and provides customized interfaces and functions; advanced users can customize the interface layout, display content and alarm thresholds; the visualization interface should allow users to interact with the system through operations such as clicking and dragging.

[0039] Compared with the prior art, the present invention has the following advantages:

[0040] 1. The present invention provides an integrated inspection and repair intelligent heating operation and maintenance dispatching system, which can improve the digitalization and intelligence level of the heat exchange station, optimize the operation and adjustment decision-making mode to improve the level of automatic control, strengthen the emergency event alarm capability to improve the timeliness of accident handling, and ensure that the operation and maintenance management of the heating system reduces staff and increases efficiency.

[0041] 2. The present invention provides an integrated inspection and repair intelligent heating operation and maintenance dispatching system, which, on the one hand, helps to remotely virtually display the actual pipeline operation status, and on the other hand, can effectively collect work information of on-site staff such as remote inspection personnel and repair personnel, and form effective visual monitoring of inspection information, repair information and geographic information.

[0042] 3. The present invention provides an integrated inspection and repair intelligent heating operation and maintenance scheduling system, which can optimally or approximately optimally plan the repair route according to the priority level of the repair task and the actual situation of the road network, effectively eliminate pipeline faults, and improve the quality of completion of repair tasks. It solves the problem that when the scale of the pipeline network increases and the structure becomes more complicated, the traditional operation and maintenance system lacks path planning and scheduling for repair tasks, and only relies on manual experience to assign repair tasks, lacks scientific guidance, and has low repair efficiency.

[0043] Based on the above reasons, the present invention can be widely promoted in the fields of heating operation and maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0045] Figure 1 This is a functional block diagram of the system of the present invention.

[0046] Figure 2 This is a system architecture diagram of the present invention.

[0047] Figure 3 This is a diagram showing the system interface provided by an embodiment of the present invention.

[0048] Figure 4 A diagram of a geographic information database model provided for an embodiment of the present invention. DETAILED DESCRIPTION

[0049] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0050] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0051] like Figure 1 , 2 As shown, the present invention provides an intelligent heating operation and maintenance scheduling system integrating inspection and repair, including: a monitoring data acquisition module, a real-time monitoring and early warning module, an intelligent inspection path planning module, a fault repair resource optimization configuration module and a user interaction and authority management module, wherein:

[0052] The monitoring data acquisition module is used to obtain the temperature, flow rate and pressure data of the water supply and return ends;

[0053] The real-time monitoring and early warning module is used to monitor the operating status of the heating network in real time based on the acquired temperature, flow and pressure data, process and analyze the collected real-time data, and timely discover faults by comparing them with preset normal operating parameters, and issue early warnings for faults; by analyzing abnormal data, quickly locate the location of the fault;

[0054] The intelligent inspection route planning module is used to plan the optimal inspection route according to the layout of the heating network and the actual fault conditions;

[0055] The fault repair resource optimization configuration module is used to optimize the configuration of maintenance personnel, equipment and materials and formulate resource configuration strategies according to the planned optimal inspection path and maintenance task requirements;

[0056] The user interaction and authority management module is used to provide a user interface to facilitate user operations and inquiries, and to send notifications to users in a timely manner to inform them of maintenance progress and results.

[0057] In specific implementation, as a preferred embodiment of the present invention, the monitoring data acquisition module includes a controller, a temperature sensor, a pressure sensor and a flow sensor connected to the controller. The controller obtains the measurement data of the temperature sensor, the pressure sensor and the flow sensor head, and displays, packages and transmits the data.

[0058] In specific implementation, as a preferred embodiment of the present invention, the monitoring data acquisition module is transmitted to the SCADA system by a communication device through a wired or wireless channel, and the script file automatically stores the data in a database to provide necessary reference data for production, scheduling and operation management; wherein:

[0059] GIS spatial data and SCADA real-time data are stored physically independently, and a special index is established between them to quickly find the corresponding real-time data list in the static pipe network spatial data.

[0060] In specific implementation, as a preferred embodiment of the present invention, the real-time monitoring and early warning module includes a real-time monitoring module and a heating network facility early warning module, wherein:

[0061] The real-time monitoring module is connected to the heating network, supports monitoring the temperature, pressure, and flow operating parameters of each heat source and heat exchange station, and visualizes each data through the WebGIS terminal to reflect the operating status of the entire network in real time; in this embodiment, the heating network contains a considerable range of spatial data, including a large number of pipe points, pipelines and their ancillary equipment spatial data and spatial location data of each pipe network object. Through the SQL Server relational database, the spatial data and attribute data of the pipe network are effectively stored and efficiently and uniformly managed, and the seamless connection between the two is achieved, making it easy to share data. The security of the data is guaranteed to a large extent, and the efficient management of the spatial data of the heating network is achieved.

[0062] In this embodiment, the real-time monitoring module is provided with a real-time monitoring GIS interface for the pipe network. In the real-time monitoring GIS interface for the pipe network, click on the heating pipe network or the covered area to enter the heating network detailed information interface, that is, the map is enlarged to a certain heating network area, and the heat exchange station logo is displayed in the longitude and latitude area where the heat exchange station / longitude and latitude are located. Click the heat exchange station icon with the mouse to pop up a pop-up window displaying the real-time heating information of the heat exchange station / commercial user, including the heating area of ​​the heat exchange station, the primary supply and return water temperature, etc.

[0063] The heating network facility early warning module displays and warns the data of the heating network and its ancillary facilities in real time. The system sets a normal threshold for each detection data during initialization. The background reads the data collected by the heating equipment sensor and compares the uploaded data with the threshold. If it is within the normal range, it is ignored. If it exceeds the set threshold, an alarm is immediately triggered and highlighted on the map to quickly locate the location of the fault. In this embodiment, the background will immediately execute the corresponding program, such as dispatching an emergency work order and generating the optimal repair path. The alarm can be turned off after the fault is handled. By integrating with the control system of the heating network, the system can achieve remote monitoring and control. Operators can view the operating status of the network in real time at the remote monitoring center and make necessary adjustments and controls through the system.

[0064] In specific implementation, as a preferred embodiment of the present invention, the intelligent inspection path planning module accurately predicts the future fault occurrence time and maintenance time based on historical data and real-time monitoring data; based on the predicted fault time and maintenance time, a corresponding maintenance plan is formulated, including determining maintenance personnel, preparing required tools and spare parts, arranging maintenance time and priority; in this embodiment, by formulating a reasonable maintenance plan, maintenance efficiency can be improved, downtime time can be reduced, and continuous and stable operation of equipment can be ensured, which specifically includes:

[0065] The dispatcher draws up an inspection plan based on the distribution of heating network facilities and the number of inspectors. The system plans the optimal inspection route for each inspector on the GIS map, determines the inspection points and routes that need to be inspected, and plans the total inspection time and the inspection time required for each facility and equipment.

[0066] The dispatcher checks the inspection route in chronological order to ensure the rationality and efficiency of the inspection plan. After the inspection plan is completed, the dispatcher sends the inspection plan to the designated inspector in the form of a work order, so that the inspector can view and download the inspection task on the mobile terminal in time.

[0067] Inspection personnel use mobile terminals to receive tasks, carry mobile devices when going out for inspection, query inspection plans online in real time, view network equipment information, record equipment names, equipment status, equipment failures, equipment operating conditions and operating parameters, use mobile terminals’ GPS satellites and positioning technology to locate inspectors in real time, and determine their inspection tracks by periodically obtaining inspectors’ location coordinates;

[0068] When inspectors discover facility equipment or pipeline failures during inspections, such as pipe bursts, equipment shutdowns, and other emergencies, they can immediately report detailed information about the incident, such as photos, descriptions, coordinates, etc.

[0069] In this embodiment, through integration with the scheduling system, automatic dispatch and adjustment of inspection tasks can be achieved. The intelligent inspection system can automatically record the inspection trajectory, operation process, equipment status and other information of the inspection personnel. After completing the inspection task, the system will automatically generate a detailed inspection report to provide comprehensive data support for management personnel. By analyzing historical data, the intelligent inspection system can discover potential failure modes and safety hazards. Based on these analysis results, the system will optimize the inspection path and task allocation to improve the efficiency and quality of the inspection.

[0070] In this embodiment, the historical inspection trajectory of the inspector can be saved during the inspection process. According to the input query conditions, such as the inspector name or the name of the inspection vehicle, the inspection time period, etc., the historical inspection data is read from the database, and the historical trajectory is displayed on the Web side in the form of continuous positioning point connection in the order of inspection time, and the trajectory can be replayed. The dispatcher can view the daily, weekly, monthly and quarterly inspection work summary and statistics of the inspection result data through the management function of the pipeline inspection, analyze the fault type and frequency, find out the cause of the fault, and modify and formulate a new inspection plan. The system monitors the entire inspection process and automatically determines whether the inspector has left the designated inspection area without authorization during working hours. The system will automatically record the abnormal situation of the inspector leaving his post or turning off the mobile phone and prompt the dispatcher.

[0071] In this embodiment, inspection plan management includes the management of inspection cycle inspection paths and inspection equipment, etc., and inspection plans are created, queried and exported according to plan classification and plan name. There are two types of plans obtained by plan classification query, one is an unpublished inspection plan, and the other is a published inspection plan. Unpublished plans can be viewed, modified, routed, published and deleted. Published plans can be viewed and retrieved, but the planned routes cannot be modified or deleted.

[0072] In this embodiment, the A* algorithm is used to implement the path planning between single fault points and fault points in the inspection of the heating network, with the goal of minimizing the traffic time and inspection time. The constraints are that all points to be inspected must be passed and can only be passed once, and the operation time of the inspection team does not exceed the maximum working time. The evaluation function of the A* algorithm is expressed as f(k)=g(k)+h(k); the map coordinate system in GIS is the Web Mercator coordinate system (EPSG:3857), and the Haversine formula is used to calculate the straight-line distance between two coordinate points. The inspection and welding point photography and positioning upload on the mobile terminal are carried out in a public network environment; the heating network data and business data are published on the intranet because of their confidentiality.

[0073] In this embodiment, in order to connect the mobile terminal data running on the public network to the intranet, the system establishes an intermediate network server connecting the internal and external networks. The intermediate network server has a public network IP address, and the mobile terminal uploads the photos taken to the intermediate network server, and then synchronizes the data uploaded by the mobile terminal to the intranet database through FTP and message queue.

[0074] In specific implementation, as a preferred embodiment of the present invention, the fault repair resource optimization configuration module is used to immediately provide a fault repair scheduling plan after a heating network fault occurs, and assist the dispatcher in issuing repair tasks, which saves manual planning time and reduces the possibility of information transmission errors. Rapid response and emergency linkage are achieved, and heating maintenance personnel enter the scene at the first time to repair the heating network fault to meet people's demand for heat; specifically including:

[0075] When allocating emergency repair resources, the emergency repair teams should be reasonably configured according to the nature of the emergency repair task and the skill level of the maintenance personnel, ensuring that each team has the corresponding professional skills and equipment to complete the emergency repair task quickly and accurately. At the same time, the emergency repair route should be optimized according to the traffic conditions and geographical location to shorten the emergency repair time;

[0076] According to the source of the repair report, the emergency repair of heating pipe network failures is divided into reports from citizens, 110 or 119 transfer orders, repair reports from automatic monitoring of the operation and maintenance system, and repair reports discovered during inspection and self-inspection;

[0077] In the case of a single repair team and multiple heating system failures, fuzzy logic is used to determine the priority of the event repair sequence. Its fuzzy membership function includes the road network status, estimated repair time, required resources, and the difficulty of recovery after repair to determine the severity and urgency of the heating failure. Finally, the repair sequence is determined according to the fault weight value.

[0078] During the emergency repair of heating failure, if one of the emergency repair tasks is interrupted, the supply of resources changes, or the duration of the emergency repair task changes, the system will quickly and reasonably allocate resources based on the real-time feedback of the emergency repair progress, and dynamically adjust the emergency repair plan to deal with emergencies during the emergency repair process to ensure that the emergency repair task can be completed on time;

[0079] The system automatically monitors the progress of the emergency repair process, and automatically generates a daily emergency repair report to summarize the fault information for archiving the emergency repair work; in this embodiment, the daily emergency repair report summarizes the fault information including: heating system fault information, emergency repair team scheduling data, evaluation information returned by users, and material warehouse distribution information, among which: heating system fault information, including fault time data, fault type data, and faulty equipment / line geographic information data; emergency repair team scheduling data, including the emergency repair team ID responsible for the work order, the time from receiving the work order to arriving at the site, and the time from arriving at the site to completing the emergency repair task; the evaluation information returned by users, including whether it is an expedited work order, whether it is a sensitive work order with serious problems in the processing process, the degree of work standardization, and service appearance evaluation; material warehouse distribution information, material distribution warehouse ID, detailed information on the types and quantities of materials shipped out, and the time of shipping out.

[0080] The time of emergency repair work and user evaluation are incorporated into the evaluation system. Based on text mining and fault clustering, the hierarchical analysis method-entropy weight method is used to evaluate the work quality and efficiency of the emergency repair personnel.

[0081] Based on the BP neural network algorithm, the repair time prediction model of the heating pipe network is trained to calculate the predicted repair time of each repair team when it is responsible for a specific fault. The historical fault repair time set is used as a sample data set to calculate the repair difficulty of different fault types and find the optimal number of hidden layer neurons. In this embodiment, the formula for calculating the repair difficulty of different fault types is as follows:

[0082]

[0083] Where: H n Fault X n Difficulty of maintenance; For the repair team m Repair fault Q n H1 is the difficulty of repairing fault Q1, which is taken as the benchmark value of repair difficulty and is 0.9. Specifically, for the problem of predicting the duration of repairing heating system faults, the input layer is the evaluation results of the repair team's business capabilities and the difficulty of repairing heating faults, and the output layer is the time required for repairing the faults, that is, the number of neurons in the input layer is 2, and the number of neurons in the output layer is 1.

[0084] In a multi-fault repair scenario, the faults are clustered according to their distance from the location of the repair vehicle and the available repair resources at the repair site. The number of clusters is the number of repair team locations. Priority is given to dispatching repair teams that are relatively close to the faults, and repair teams that are too far away from the fault location will not be dispatched. If one of the repair teams has insufficient supplies, the next-ranked repair team cluster with the closest distance is selected to determine the affiliation. During the repair process, the system pays attention to user needs and experience, and promptly informs users of the repair progress and provides users with necessary services and comfort measures.

[0085] In specific implementation, as a preferred embodiment of the present invention, the user interaction and authority management module manages system users, including adding users, setting user authority management functions, user operation log records and querying logged-in users, so as to ensure that the responsibility for heat supply management is clearer; wherein:

[0086] Setting up the user authority management function is the basic information of the management system. Administrators use this function to grant authority to users and manage all system users. Authorized users clearly limit the scope of their access to information. Authority management helps to manage the authority of different users. Authorized users can specify the resources that users in the system can access. Authority management allows the assignment of authority to users and administrators can view the status of user authority grants.

[0087] In this embodiment, the display or hiding state of the layer of the object on the map is determined by setting a selection box in front of the pipe network and its facility objects. When the selection box is selected, the layer is displayed, otherwise the layer is hidden. The system supports users to add, modify, delete, import, export and other maintenance operations on spatial and attribute data as needed. For operations such as zooming in, zooming out, and editing the map, users will frequently send requests by dragging the mouse, and use Ajax technology to transfer front-end and back-end data, reduce system response time, and keep the page seen by the user continuous without frequent refreshes, thereby improving the user experience. The geographic coordinates of the heating network and facilities are stored in the WGS84 coordinate system (EPSG:4326), and the map uses the Web Mercator coordinate system (EPSG:3857). The conversion of these two coordinate systems is implemented using the pyproj library in python.

[0088] In specific implementation, as a preferred embodiment of the present invention, the integrated inspection and repair smart heating operation and maintenance dispatching system integrates a geographic information system (GIS) to display the geographical distribution and layout of the heating network; specifically:

[0089] The location, direction and connection relationship of the pipeline network are drawn through GIS, and the real-time operation status of the pipeline network, such as temperature, pressure and flow, is displayed at the same time. Through real-time data visualization, operation and maintenance personnel can quickly understand the operation status of the pipeline network and discover abnormalities in time;

[0090] Based on the path planning algorithm that takes maintenance time constraints into account, the system generates optimal or suboptimal maintenance paths; the visualization function displays these paths in an intuitive way, including path length, maintenance time, and priority information;

[0091] When the pipe network is abnormal or needs maintenance, the system issues an early warning or alarm through a visual interface; the visualization function sets different levels of access rights for different users and provides customized interfaces and functions; advanced users can customize the interface layout, display content and alarm thresholds; the visualization interface should allow users to interact with the system through operations such as clicking and dragging. In this embodiment, the early warning and alarm information includes the type, location and severity of the abnormality so that the operation and maintenance personnel can respond quickly. The operation and maintenance personnel can view its detailed information or perform related operations by clicking on a device or area.

[0092] In summary, the intelligent heating operation and maintenance scheduling system with integrated inspection and repair provided by the present invention can respond quickly when a heating pipe network failure occurs, coordinate heating repair resources, including repair equipment, repair personnel, heating repair experts, and management and intelligent scheduling of repair vehicles, and assist in generating repair scheduling plans. On the basis of the existing heating user complaint system, the rough set theory is used to intelligently locate heating faults. For multiple concurrent faults, different repair priority strategies are assigned to coordinate the entire repair work.

[0093] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A smart heating operation and maintenance dispatching system integrating inspection and repair, characterized in that: include: Monitoring data collection module, real-time monitoring and early warning module, intelligent inspection route planning module, fault repair resource optimization configuration module and user interaction and authority management module, including: The monitoring data acquisition module is used to obtain the temperature, flow rate and pressure data of the water supply and return ends; The real-time monitoring and early warning module is used to monitor the operating status of the heating network in real time based on the acquired temperature, flow and pressure data, process and analyze the collected real-time data, and timely discover faults by comparing them with preset normal operating parameters, and issue early warnings for faults; by analyzing abnormal data, quickly locate the location of the fault; The intelligent inspection route planning module is used to plan the optimal inspection route according to the layout of the heating network and the actual fault conditions; The fault repair resource optimization configuration module is used to optimize the configuration of maintenance personnel, equipment and materials and formulate resource configuration strategies according to the planned optimal inspection path and maintenance task requirements; The user interaction and authority management module is used to provide a user interface to facilitate user operations and inquiries, and to send notifications to users in a timely manner to inform them of maintenance progress and results.

2. According to claim 1, a smart heating operation and maintenance dispatching system integrating inspection and repair is characterized in that: The monitoring data acquisition module includes a controller, a temperature sensor, a pressure sensor and a flow sensor connected to the controller. The controller obtains measurement data of the temperature sensor, the pressure sensor and the flow sensor head, and displays, packages and transmits the data.

3. According to claim 2, a smart heating operation and maintenance dispatching system integrating inspection and repair is characterized in that: The monitoring data acquisition module is transmitted to the SCADA system by the communication device through a wired or wireless channel, and the script file automatically stores the data in the database to provide reference data for production, scheduling and operation management; wherein: GIS spatial data and SCADA real-time data are stored physically independently, and indexes are established to quickly find the corresponding real-time data list in the static pipe network spatial data.

4. According to claim 1, the intelligent heating operation and maintenance dispatching system integrating inspection and repair is characterized in that: The real-time monitoring and early warning module includes a real-time monitoring module and a heating network facility early warning module, wherein: The real-time monitoring module is connected to the heating network, supports monitoring the temperature, pressure, and flow operating parameters of each heat source and heat exchange station, and visualizes each data through the WebGIS terminal to reflect the operating status of the entire network in real time; The heating network facility early warning module displays and warns the data of the heating network and its ancillary facilities in real time. When the system is initialized, it sets a normal threshold for each detection data. The background reads the data collected by the heating equipment sensor, and compares the uploaded data with the threshold. If it falls within the normal range, it is ignored. If it exceeds the set threshold, an alarm is immediately triggered and highlighted on the map to quickly locate the location of the fault.

5. According to claim 1, the intelligent heating operation and maintenance dispatching system integrating inspection and repair is characterized in that: The intelligent inspection route planning module accurately predicts the future fault occurrence time and maintenance time based on historical data and real-time monitoring data; formulates a corresponding maintenance plan based on the predicted fault time and maintenance time, including determining maintenance personnel, preparing required tools and spare parts, and arranging maintenance time and priority, including: The dispatcher draws up an inspection plan based on the distribution of heating network facilities and the number of inspectors. The system plans the optimal inspection route for each inspector on the GIS map, determines the inspection points and routes that need to be inspected, and plans the total inspection time and the inspection time required for each facility and equipment. The dispatcher checks the inspection route in chronological order to ensure the rationality and efficiency of the inspection plan. After the inspection plan is completed, the dispatcher sends the inspection plan to the designated inspector in the form of a work order, so that the inspector can view and download the inspection task on the mobile terminal in time. Inspection personnel use mobile terminals to receive tasks, carry mobile devices when going out for inspection, query inspection plans online in real time, view network equipment information, record equipment names, equipment status, equipment failures, equipment operating conditions and operating parameters, use mobile terminals’ GPS satellites and positioning technology to locate inspectors in real time, and determine their inspection tracks by periodically obtaining inspectors’ location coordinates; If the inspectors discover a facility, equipment or pipeline failure during the inspection, they will immediately report the detailed information of the incident.

6. The intelligent heating operation and maintenance dispatching system integrating inspection and repair according to claim 1 is characterized in that: The fault repair resource optimization configuration module is used to immediately provide a fault repair scheduling plan after a heating pipe network fault occurs, assist the dispatcher in issuing repair tasks, achieve rapid response and emergency linkage, and the heating maintenance personnel enter the scene to repair the heating pipe network fault as soon as possible to meet people's demand for heat; specifically, it includes: When allocating emergency repair resources, the emergency repair teams should be reasonably configured according to the nature of the emergency repair tasks and the skill level of the maintenance personnel, ensuring that each team has the corresponding professional skills and equipment. At the same time, the emergency repair routes should be optimized according to the traffic conditions and geographical location to shorten the emergency repair time; According to the source of the repair report, the emergency repair of heating pipe network faults is divided into reports from citizens, 110 or 119 transfer orders, repair reports from automatic monitoring of the operation and maintenance system, and repair reports discovered during inspection and self-inspection; For the case of a single repair team and multiple faults in the heating system, fuzzy logic is used to determine the priority of the event repair sequence. Its fuzzy membership function includes the road network status, estimated repair time, required resources, and the difficulty of recovery after repair to determine the severity and urgency of the heating fault. Finally, the repair sequence is determined according to the fault weight value. During the emergency repair of heating failure, if one of the emergency repair tasks is interrupted, the supply of resources changes, or the duration of the emergency repair task changes, the system will quickly and reasonably allocate resources based on the real-time feedback of the emergency repair progress, and dynamically adjust the emergency repair plan to deal with emergencies during the emergency repair process to ensure that the emergency repair task can be completed on time; The system automatically monitors the progress of the emergency repair process and automatically generates a daily emergency repair report to summarize fault information and archive the emergency repair work; The time of emergency repair work and user evaluation are incorporated into the evaluation system. Based on text mining and fault clustering, the hierarchical analysis method-entropy weight method is used to evaluate the work quality and efficiency of the emergency repair personnel. Based on the BP neural network algorithm, the repair time prediction model of the heating pipe network is trained to calculate the predicted repair time of each repair team when it is responsible for a specific fault. The historical fault repair time set is used as a sample data set to calculate the repair difficulty of different fault types and find the optimal number of hidden layer neurons. In a multi-fault repair scenario, the faults are clustered according to their distance from the location of the repair vehicle and the available repair resources at the repair site. The number of clusters is the number of repair team locations. Priority is given to dispatching repair teams that are relatively close to the faults, and repair teams that are too far away from the fault location will not be dispatched. If one of the repair teams has insufficient supplies, the next-ranked repair team cluster with the closest distance is selected to determine the affiliation. During the repair process, the system pays attention to user needs and experience, and promptly informs users of the repair progress and provides users with necessary services and comfort measures.

7. The intelligent heating operation and maintenance dispatching system integrating inspection and repair according to claim 1 is characterized in that: The user interaction and authority management module manages system users, including adding users, setting user authority management functions, user operation log records and querying logged-in users, so as to ensure that the responsibility for heat supply management is clearer; wherein: Setting up the user authority management function is the basic information of the management system. Administrators use this function to grant authority to users and manage all system users. Authorized users clearly limit the scope of their access to information. Authority management helps to manage the authority of different users. Authorized users can specify the resources that users in the system can access. Authority management allows the assignment of authority to users and administrators can view the status of user authority grants.

8. The intelligent heating operation and maintenance dispatching system integrating inspection and repair according to claim 1 is characterized in that: The integrated inspection and repair smart heating operation and maintenance dispatching system integrates a geographic information system to display the geographical distribution and layout of the heating network; specifically: The location, direction and connection relationship of the pipeline network are drawn through GIS, and the real-time operation status of the pipeline network is displayed at the same time; through real-time data visualization, operation and maintenance personnel can quickly understand the operation status of the pipeline network and discover abnormalities in time; Based on the path planning algorithm that takes maintenance time constraints into account, the system generates optimal or suboptimal maintenance paths; the visualization function displays these paths in an intuitive way, including path length, maintenance time, and priority information; When the pipeline network is abnormal or requires maintenance, the system will issue a warning or alarm through the visual interface; the visualization function sets different levels of access rights for different users and provides customized interfaces and functions; advanced users can customize the interface layout, display content and alarm thresholds; the visualization interface should allow users to interact with the system through operations such as clicking and dragging.

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