Electric power emergency collaborative production management and control system based on Beidou and multi-source data fusion

Abstract

The invention provides an electric power emergency collaborative production management and control system based on Beidou and multi-source data fusion, and relates to the technical field of emergency management and control, and the system comprises a space information collection module which is used for collecting target space information of a target management and control region based on Beidou and a multi-source monitor; the positioning information obtaining module is used for aligning and mapping the target space information to a target map to obtain target positioning information; the decision determination module is used for determining a scheduling decision according to the target positioning information; the state updating module is used for updating the response state of the trigger event through the scheduling decision; and the file generation module is used for generating an emergency disposal process file according to the response state. According to the invention, the intelligent emergency scheduling system based on multi-source data fusion and unified space-time reference can be realized, and the technical effects of improving the emergency resource scheduling efficiency, enhancing the traceability and optimization capability of a task execution process, and improving the response speed and cooperative processing capability of a power system in emergencies are achieved.

Description

Technical Field

[0001] The present application relates to the field of emergency control technology, and in particular to an electric power emergency collaborative production control system based on Beidou and multi-source data fusion. Background Art

[0002] In the current emergency management of the power system, with the increasing scale of the power grid and the increasing environmental risks, improving the coordination efficiency of power emergency disposal and the accuracy of resource dispatch has become an important direction for the development of the industry. Especially when dealing with complex scenarios such as sudden natural disasters, equipment failures or regional power outages, traditional emergency management systems usually rely on manual dispatch and limited monitoring methods, and there are problems such as untimely response, obvious information islands, low resource utilization, and many blind spots in command and decision-making.

[0003] At present, existing technologies often lack multi-dimensional dynamic perception and integration of power facilities, geographical environment, resource status and risk factors in the emergency response process, making it difficult to achieve efficient resource scheduling and linkage command under a unified time and space benchmark. In addition, most systems fail to achieve real-time positioning and scheduling of resources, and fail to fully record and identify deviations in the task execution process, resulting in a lack of closed-loop tracking and optimization capabilities during the execution of emergency tasks. Especially in the face of extreme situations such as congestion or failure of public network communications, the system often cannot switch to a reliable communication guarantee method in time, thus affecting the continuity and stability of emergency response.

[0004] To sum up, there are technical problems in the existing technology due to the lack of multi-source data fusion capabilities and unified space-time benchmark support, which leads to untimely response of emergency resource scheduling and uncontrollable execution process, further affecting the rapid response capability and coordinated disposal efficiency of the power system in emergencies. Summary of the invention

[0005] The purpose of this application is to provide an electric power emergency collaborative production control system based on Beidou and multi-source data fusion, in order to solve the technical problems in the prior art that the emergency resource scheduling response is not timely and the execution process is uncontrollable due to the lack of multi-source data fusion capability and unified space-time benchmark support, which further affects the rapid response capability and collaborative disposal efficiency of the power system in emergencies.

[0006] In view of the above problems, the present application provides an electric power emergency collaborative production control system based on Beidou and multi-source data fusion, including: a spatial information acquisition module, which is used to collect target spatial information of the target control area based on Beidou and multi-source monitors, including: a layer acquisition unit, which is used to obtain a power facility layer based on the monitoring of the power monitoring equipment, a geographical layer obtained by monitoring the multi-source geographical monitor, a resource layer obtained based on Beidou collection, and a risk layer obtained by monitoring the multi-source risk monitor; a layer fusion unit, which is used to perform layer fusion on the power facility layer, the geographical layer, the resource layer and the risk layer to obtain the target spatial information of the target control area; a positioning information acquisition module, which is used to align and map the target spatial information to the target map to obtain the target The positioning information includes: a standard timestamp obtaining unit, which is used to extract layer timestamps with the power facility layer, the geographic layer, the resource layer and the risk layer as target layers, and extract any timestamps that overlap with the timestamps in the layer timestamps as standard timestamps; a spatial alignment unit, which is used to align the information timestamps of the target spatial information through the standard timestamps to obtain aligned spatial information; a spatial mapping unit, which is used to map the aligned spatial information to the target map to obtain the target positioning information; a decision determination module, which is used to determine the scheduling decision according to the target positioning information; a status update module, which is used to update the response status of the triggering event through the scheduling decision; and a file generation module, which is used to generate an emergency response process file according to the response status.

[0007] Preferably, the electric power emergency collaborative production control system based on Beidou and multi-source data fusion also includes: a positioning expansion unit, which is used to expand the target positioning information of the target layer with the alignment spatial information as the starting point according to the coincident timestamp to obtain dynamic spatial information; a dynamic positioning unit, which is used to map the dynamic spatial information to the target map based on the coincident timestamp to obtain dynamic positioning information, and combine the dynamic positioning information to obtain the target positioning information.

[0008] Preferably, the power emergency collaborative production control system based on Beidou and multi-source data fusion also includes: a decision calling unit, used to screen the event type and response level of the trigger event, and call the response decision; an instruction generating unit, used to perform resource scheduling based on the target positioning information according to the response decision, and generate a scheduling instruction; a simulation scheduling unit, used to extract the defect information to be scheduled in the scheduling instruction, extract any schedulable resource location information and the corresponding any schedulable resource information from the target positioning information, and perform simulated scheduling of the defect information to be scheduled through the any schedulable resource information to obtain supplementary information to be scheduled; a satisfaction calculation unit, used to randomly extract the schedulable resource location information and the corresponding schedulable resource information through the target positioning information to schedule and supplement the supplementary information to be scheduled, perform scheduling satisfaction calculation of the any schedulable resource location information and the any schedulable resource information and the schedulable resource location information and the schedulable resource information, and identify the satisfactory schedulable resource location information as the first-priority scheduling resource of the trigger event; a priority scheduling unit, used to use the first-priority scheduling resource as the scheduling decision for the trigger event.

[0009] Preferably, the electric power emergency collaborative production control system based on Beidou and multi-source data fusion also includes: a screening condition configuration unit, used to configure the screening conditions according to time range conditions, area range conditions and type conditions; a level matching unit, used to match the response level according to the screening conditions.

[0010] Preferably, the electric power emergency collaborative production control system based on Beidou and multi-source data fusion also includes: a public network dispatching unit, which is used to execute the dispatching decision of the first-priority dispatching resource through the dispatching public network generated by the target positioning information and the dispatching instruction.

[0011] Preferably, the electric power emergency collaborative production control system based on Beidou and multi-source data fusion also includes: an alarm generation unit, which is used to generate an alarm command based on the scheduling instruction through Beidou if the scheduling public network is blocked; a Beidou scheduling unit, which is used to execute the scheduling decision of the first-priority scheduling resource based on the alarm command.

[0012] Preferably, the electric power emergency collaborative production control system based on Beidou and multi-source data fusion also includes: a task feedback unit, used to collect the execution status and execution positioning information of the first-priority scheduling resource during the execution of the scheduling instruction to form task feedback information; a deviation identification unit, used to compare the task feedback information with the scheduling instruction to identify the task execution deviation; a resource backtracking unit, used to trace the resource trajectory through the target positioning information and recommend additional scheduling resources if there is a task deviation; a response status update unit, used to update the response status according to the task feedback information.

[0013] Preferably, the electric power emergency collaborative production control system based on Beidou and multi-source data fusion also includes: a process recording unit, used to record the full process data of the target positioning information, the scheduling decision and the response status; an emergency file formation unit, used to store the full process data in a structured manner in time sequence and spatial position to form the emergency response process file, wherein the emergency response process file has a support function for historical event backtracking query based on the timeline and the target map.

[0014] The technical solution provided in this application has at least the following technical effects or advantages: by realizing an intelligent emergency dispatch system based on multi-source data fusion and a unified space-time benchmark, the efficiency of emergency resource dispatching, the traceability and optimization capability of the task execution process are improved, thereby improving the response speed and collaborative processing capability of the power system in emergencies.

[0015] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented according to the contents of the specification, and in order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are specifically cited below. It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easy to understand through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the present application or 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 in the following description are only exemplary, and for ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0017] Figure 1 This is a schematic diagram of the structure of the power emergency collaborative production control system based on Beidou and multi-source data fusion in this application; Figure 2 This is a structural diagram of the spatial information acquisition module in the power emergency collaborative production control system based on Beidou and multi-source data fusion in this application; Figure 3 This is a tabular diagram of the most recent emergency response process archive record in the power emergency collaborative production control system based on Beidou and multi-source data fusion in this application.

[0018] Explanation of the reference numerals: spatial information acquisition module 1, positioning information acquisition module 2, decision determination module 3, status update module 4, archive generation module 5, layer acquisition unit 11, layer fusion unit 12. DETAILED DESCRIPTION

[0019] This application provides a power emergency collaborative production control system based on Beidou and multi-source data fusion, which solves the technical problems in the prior art that the emergency resource dispatch response is not timely and the execution process is uncontrollable due to the lack of multi-source data fusion capabilities and unified space-time benchmark support, further affecting the rapid response capability and collaborative handling efficiency of the power system in emergencies. The intelligent emergency dispatch system based on multi-source data fusion and unified space-time benchmark is realized to improve the efficiency of emergency resource dispatch, enhance the traceability and optimization capability of the task execution process, and thus improve the response speed and collaborative processing capability of the power system in emergencies.

[0020] Below, the technical solutions in the present application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments of the present application. It should be understood that the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application. It should also be noted that, for the convenience of description, only the parts related to the present application are shown in the accompanying drawings, rather than all of them.

[0021] Please see attached Figure 1 This application provides a power emergency collaborative production control system based on Beidou and multi-source data fusion, which specifically includes: The spatial information acquisition module 1 is used to collect the target spatial information of the target control area based on Beidou and multi-source monitors.

[0022] Specifically, the spatial location and related status information of all important objects in the emergency management area are collected in real time through the Beidou system and various types of on-site monitoring equipment. The Beidou system is a global satellite navigation system with high-precision positioning, precise timing and short message communication functions. It can stably provide location information at the meter or even sub-meter level, which is used in scenarios such as personnel positioning, vehicle trajectory tracking and emergency equipment deployment in power emergencies. Beidou's short message function is particularly critical when public network communications are interrupted. It can send short text or status data back to the command center via satellite to ensure uninterrupted communications.

[0023] Multi-source monitors refer to the technical means of deploying multiple functional devices for on-site perception at the same time, including video surveillance cameras, meteorological sensors, water level monitors, PMUs (synchronized phasor measurement devices), SCADA systems, drone inspection equipment, etc., to obtain temperature, wind speed, water level, current, voltage and other data through different sensing mechanisms. For example, an infrared thermal imager installed on the main transformer can sense whether the temperature rise of the equipment is abnormal, while a drone can collect image information of the tower collapse from the air.

[0024] The target control area refers to the key control area defined according to the event type, emergency level or preset rules, which usually covers the vicinity of substations, important transmission corridors, accident-prone areas or risk-intensive areas. After an emergency power incident occurs, this area will serve as the core area for emergency resource dispatch and risk investigation. For example, after a strong typhoon passes, a local power bureau will designate all facilities within a 30-kilometer radius from the eye of the storm as target control areas and activate a temporary dispatch mechanism.

[0025] The target spatial information refers to the entire data set with spatial coordinate attributes collected in the area, including but not limited to equipment location, personnel distribution, resource trajectory, risk point range, etc., which is displayed in the map system in the form of layers with timestamps for historical backtracking and dynamic comparison.

[0026] The positioning information obtaining module 2 is used to align and map the target spatial information to the target map to obtain the target positioning information.

[0027] Specifically, the target spatial information is aligned and mapped to the target map, and the data that has been time and space corrected is uniformly loaded into an electronic map platform with a unified coordinate system. The target spatial information is a set of data collected from different sources and aligned with standard timestamps, including the location and status of power facilities, the location information of personnel and vehicles, terrain and environmental elements, and the distribution of risk events. The mapping process is to spatially project all data with geographic location attributes according to their coordinate values ​​so that they accurately correspond to the actual geographic location of the map. The target positioning information is obtained through mapping, and the clear geographic location and status description of each object at the current time point is obtained.

[0028] The decision determination module 3 is used to determine the scheduling decision according to the target positioning information.

[0029] Specifically, the dispatch decision is determined based on the target positioning information. After obtaining the specific location of personnel, equipment, resources and other objects on the map, appropriate dispatch arrangements are made based on the location information, combined with the location of the event and emergency needs. Dispatching decision is the process of selecting the best resources to perform operations according to the needs of emergency tasks, including resource allocation, path arrangement, time estimation and other contents.

[0030] The status updating module 4 is used to update the response status of the triggering event through the scheduling decision.

[0031] Specifically, the existing dispatch decision content is used to update the processing progress or disposal stage of the emergency event being processed, that is, after the dispatch decision is determined, tasks are assigned according to the decision content, such as dispatching a maintenance team or allocating emergency supplies. Subsequently, the response status of the event is automatically or manually updated according to the actual execution of the instruction. Dispatching decisions refer to specific response plans formulated for emergencies, including resource selection, task execution methods and time arrangements. Triggering events refer to abnormal or risky situations identified by the system during the monitoring process, such as sudden tripping of substations, short circuits in line equipment, or damage to power facilities caused by natural disasters. The response status is used to indicate the current stage in the entire event processing process, such as unresponsive, responded, executing, completed, or processing interrupted.

[0032] The archive generation module 5 is used to generate an emergency response process archive according to the response status.

[0033] Specifically, based on the status information of each link in the incident response process, a structured and traceable digital archive is compiled. The emergency response process archive includes not only the time node information of the incident response, but also key contents such as spatial location information, scheduling resource details, and task execution feedback.

[0034] Further, if Figure 2 As shown, the present application also includes: a layer acquisition unit 11, which is used to obtain a power facility layer based on the monitoring of the power monitoring equipment, obtain a geographical layer through monitoring by a multi-source geographical monitor, obtain a resource layer based on Beidou acquisition, and obtain a risk layer based on monitoring by a multi-source risk monitor; a layer fusion unit 12, which is used to perform layer fusion on the power facility layer, the geographical layer, the resource layer and the risk layer to obtain the target spatial information of the target control area.

[0035] Specifically, the power facility layer obtained by monitoring the power monitoring equipment refers to the use of the automated monitoring equipment installed inside the power system, such as the SCADA system, telemetry terminals, smart switches and smart transformers, to collect the location, status, current, voltage and other information of power facilities such as transmission lines, substations and switch stations in real time, and visualize this information in the form of a layer on the map. Each graphic element in the power facility layer represents a specific power equipment point or line segment, with unique spatial location coordinates and real-time attribute information.

[0036] The natural geographic information within the control area is obtained through various technical means such as laser radar, remote sensing satellites, and ground mapping drones. The geographic layer mainly contains spatial feature information such as mountains, water bodies, roads, buildings, and vegetation, which are displayed on the map as blocks of different colors, shapes, and textures. For example, mountains are represented by contour lines or three-dimensional modeling, rivers are presented as blue curves, and roads are presented as gray or black lines. Geographic data from different sources can complement each other and improve the restoration of spatial scenes. For example, a newly built road can be identified through remote sensing images, and its actual traffic status can be verified through ground vehicle radar.

[0037] The Beidou terminals deployed on vehicles, personnel and portable emergency equipment collect their real-time positioning information and project it onto the map to generate a resource layer. Each mobile element in the resource layer has a unique ID, location coordinates, motion status (stationary, moving) and timestamp information. For example, a repair vehicle is located 300 meters north of a substation at a certain moment and is driving towards the fault point at a speed of 60 kilometers per hour. The high-precision positioning characteristics of the Beidou system enable these resources to be real-time and accurate in large-scale scheduling, especially in scenarios where public network communications are limited, and short message functions can still be used to report location and status.

[0038] Through various risk monitoring equipment, such as weather radars, geological disaster warning terminals, hydrological stations, fire monitoring cameras and other equipment, external risk information that may affect the operation of power facilities in the region is collected in real time, and a risk distribution map is formed on the map. The risk layer includes spatial risk areas such as severe convective weather belts, landslide warning areas, waterlogging points, and forest fire risk areas. Each risk area has attributes such as impact level, duration, and risk type. For example, a red rainstorm warning covers an area with a radius of 5 kilometers and contains 3 trunk transmission lines, which requires risk assessment and resource scheduling within 30 minutes.

[0039] The four types of layers are superimposed, aligned and linked under a unified geographic information coordinate system and time base, so that the spatial elements in all layers can be accurately and conflict-free displayed on the same map. Through layer fusion, spatial interactive analysis of power facilities and natural environment, emergency resources and risk areas can be achieved, such as determining whether a certain equipment is in a landslide warning area, whether current resources can arrive at the site before the warning, and whether the road is unobstructed.

[0040] Furthermore, the present application also includes: a standard timestamp obtaining unit, which is used to extract layer timestamps with the power facility layer, the geographic layer, the resource layer and the risk layer as target layers, and extract any timestamps that overlap with the layer timestamps as standard timestamps; a spatial alignment unit, which is used to align the information timestamps of the target spatial information through the standard timestamp to obtain aligned spatial information; and a spatial mapping unit, which is used to map the aligned spatial information to a target map to obtain the target positioning information.

[0041] Specifically, the target layers are extracted from the power facilities layer, geographic layer, resource layer, and risk layer. The specific time information corresponding to the recorded data is extracted from each layer. In the power facilities layer, the operating status of each line, substation, or other equipment will be accompanied by the acquisition time; although the geographic layer changes slowly, dynamic terrain change information such as mountain torrents, landslides, and road collapses will also be accompanied by time records; the location of vehicles, personnel, and equipment in the resource layer will also have a specific timestamp each time it is reported; risk layers such as meteorological warnings, water level changes, and fire spread themselves rely on time evolution.

[0042] From the time information of all layers, find the time point where data records exist at a certain moment, and use it as the reference time for unified alignment. The coincident timestamp is the time node where multiple layers have valid data at that moment, ensuring the consistency and comparability of the data. Select any coincident timestamp as the standard to achieve precise alignment between multiple layers at that moment, avoiding spatial information dislocation or logical conflicts due to different acquisition times.

[0043] Using the selected standard time as the anchor point, the data at that time in each layer is synchronized. For example, at a standard timestamp of 10:15, the alignment process extracts line voltage information from the power facility layer, vehicle location from the resource layer, radar echo information from the risk layer, etc., and combines them into a set of spatial data sets with temporal and spatial consistency, called aligned spatial information.

[0044] Place the time-aligned layer data into a unified GIS map to achieve spatial visualization and subsequent linkage processing. The target map is a standardized geographic base map that is compatible with the coordinate projection of various layer data. The mapping process actually superimposes different objects on the same electronic map in the form of graphics, symbols, colors, etc., so that users can intuitively see the exact location and current status of each object.

[0045] Furthermore, the present application also includes: a positioning extension unit, which is used to expand the target positioning information of the target layer based on the coincident timestamp with the aligned spatial information as the starting point to obtain dynamic spatial information; a dynamic positioning unit, which is used to map the dynamic spatial information to the target map based on the coincident timestamp to obtain dynamic positioning information, and combine the dynamic positioning information to obtain the target positioning information.

[0046] Specifically, the power facility layer, geographic layer, resource layer and risk layer are used as the target layers to extract the layer timestamp, and the specific time information corresponding to the recorded data is extracted for each layer. In the power facility layer, the operating status of each line, substation or other equipment will be accompanied by the acquisition time; although the geographic layer changes slowly, dynamic terrain change information such as mountain torrents, landslides, and road collapses will also be accompanied by time records; the location of vehicles, personnel and equipment in the resource layer will also have a specific timestamp each time it is reported; risk layers such as meteorological warnings, water level changes, and fire spread themselves rely on time evolution. Therefore, in order to achieve data collaboration between different layers, it is necessary to first extract the timestamp bound to the spatial state from them.

[0047] Extract any timestamp that overlaps with the timestamp in the layer timestamp as the standard timestamp, find the time point at which data records exist at a certain moment from the time information of all layers, and use it as the reference time for unified alignment. The overlapping timestamp is the time node at which multiple layers have valid data at that moment, ensuring the consistency and comparability of the data. Selecting any overlapping timestamp as the standard is to achieve accurate alignment between multiple layers at that moment, avoiding spatial information dislocation or logical conflicts due to different acquisition times.

[0048] Taking the selected standard time as the anchor point, the data at that moment in each layer is synchronized to obtain the aligned spatial information. It is just to filter and match the spatial objects and their states at the same time point in each layer. For example, at a certain standard timestamp of 10:15, the alignment process will extract line voltage information from the power facility layer, vehicle location from the resource layer, radar echo information from the risk layer, etc., and combine them into a set of spatial data sets with temporal and spatial consistency, which is called aligned spatial information.

[0049] Place the time-aligned layer data into a unified geographic information system map to achieve spatial visualization and subsequent linkage processing. The target map is a standardized geographic base map, usually using the WGS-84 coordinate system, which is compatible with the coordinate projection of various layer data. The mapping process actually superimposes different objects on the same electronic map in the form of graphics, symbols, colors, etc., so that users can intuitively see the exact location and current status of each object.

[0050] Furthermore, the present application also includes: a decision calling unit, which is used to screen the event type and response level of the trigger event and call the response decision; an instruction generating unit, which is used to perform resource scheduling based on the target positioning information according to the response decision and generate a scheduling instruction; a simulation scheduling unit, which is used to extract the defect information to be scheduled in the scheduling instruction, extract any schedulable resource positioning information and the corresponding any schedulable resource information from the target positioning information, and perform simulated scheduling of the defect information to be scheduled through the any schedulable resource information to obtain supplementary information to be scheduled; a satisfaction calculation unit, which is used to randomly extract the schedulable resource positioning information and the corresponding schedulable resource information through the target positioning information to schedule and supplement the supplementary information to be scheduled, perform scheduling satisfaction calculation of the any schedulable resource positioning information and the any schedulable resource information and the schedulable resource positioning information and the schedulable resource information, and identify the satisfactory schedulable resource positioning information as the first priority scheduling resource of the trigger event; a priority scheduling unit, which is used to use the first priority scheduling resource as the scheduling decision for the trigger event.

[0051] Specifically, the event type and response level of the triggering event are screened. When an event is detected, the event is identified as to which category it belongs, such as equipment failure, natural disaster, communication anomaly, or man-made damage, etc. At the same time, its impact, that is, the response level, is also evaluated, which is usually divided into level 3, level 2, level 1, or extremely serious events. Once the event type and response level are determined, the corresponding response decision is called according to the preset rules. The response decision is a pre-set corresponding processing flow and emergency resource allocation plan.

[0052] Next, according to the response decision, resources are scheduled based on the target positioning information, and scheduling instructions are generated. According to the target positioning information, that is, the spatial location of relevant personnel, equipment, vehicles, etc., qualified emergency resources are matched to the incident site, and a scheduling command containing task instructions, time requirements, target coordinates, etc. is generated as the core basis for subsequent scheduling and dispatch, ensuring that the task is executed by the right personnel or equipment at the right time.

[0053] Then, the defect information to be scheduled in the scheduling instruction is extracted. The defect information refers to the functional malfunction point caused by the event, such as the power outage area, the communication interruption node or the location of the damaged equipment. From the existing target positioning information, any schedulable resource location and corresponding resource information are selected, including personnel qualifications, equipment capabilities, current status, etc. Then, the resource information is used to simulate the scheduling, evaluate whether the scheduling resources can effectively match the current defect point requirements, and generate preliminary scheduling supplementary information, such as insufficient resource quantity, task response delay and other problem prompts.

[0054] Next, a batch of schedulable resource location information and corresponding resource information are randomly extracted from the target location information again, and the previously generated supplementary information is scheduled and supplemented. In places where the preliminary simulation is insufficient, alternative resources are introduced to improve the overall response quality. The satisfaction of the resource combination in these two rounds of scheduling is calculated. The satisfaction index can be comprehensively derived based on multiple dimensions such as resource response time, distance from the site, and equipment capacity redundancy. Finally, the group of resource location information with the highest satisfaction is identified as the first-priority scheduling resource, and this group of resources will be used first to handle the current event.

[0055] Finally, the scheduling decision is made with the first-priority scheduling resource as the trigger event, and the resource grouping is submitted as the final decision plan, and then enters the specific execution link, thereby completing the whole process from event discovery, type judgment, response strategy call, to resource screening, simulation scheduling, satisfaction evaluation and final task dispatch.

[0056] Furthermore, the present application also includes: a screening condition configuration unit, used to configure the screening condition according to a time range condition, an area range condition and a type condition; and a level matching unit, used to match the response level according to the screening condition.

[0057] Specifically, before handling emergency events, set a set of basic parameters for event filtering and classification. The time range condition refers to the time interval in which the screening event of interest occurs, such as power outage records in the past 24 hours. The regional range condition refers to the geographical area where the event occurs, such as a county, a substation coverage area, or within 3 kilometers around the construction site. The type condition defines the nature of the event, such as only screening specific types such as cable failures, tower tilts, and equipment abnormalities. Through the combination of the three types of conditions, the huge historical or real-time event data can be filtered out to obtain the information set related to the current processing, ensuring that subsequent decisions are more targeted.

[0058] Next, the response level is matched according to the screening conditions. After the screening is completed, the response level of each event that meets the conditions is evaluated. The response level is a preset hierarchical management method, which is usually divided into several levels such as general, important, urgent, and extremely serious, which are used to reflect the degree of threat of the event to the system operation, personnel safety or equipment stability. The matching process is based on the rule table. For example, an event at night, near an important transmission line, and of the type of equipment explosion is likely to be rated as urgent or extremely serious.

[0059] Furthermore, the present application also includes: a public network scheduling unit, which is used to execute the scheduling decision of the first priority scheduling resource with the scheduling instruction through the scheduling public network generated by the target positioning information.

[0060] Specifically, based on the integrated spatial information, a dispatching communication network for command issuance, resource coordination and information transmission is established in the power emergency management and control system. The target positioning information is the precise geographical location of various resources, equipment, and personnel obtained by fusing the Beidou system with multi-source data, including longitude and latitude coordinates and map projection positions. This information enables the dispatching system to accurately identify the current location and status of each dispatchable resource, and then build a spatially logically associated communication link, that is, the dispatching public network, which refers to the standard communication channel used in dispatching, which can be a private network, public network, 4G, 5G, or any other network with coverage and bandwidth guarantee.

[0061] The scheduling decision of executing the first-priority scheduling resource with scheduling instructions means that after evaluating and prioritizing the available resources, the resource with the highest ranking and the best suitability for the emergency task is selected, and a clear scheduling instruction is generated for the resource, including arriving at the designated location, performing maintenance, replacing equipment or transporting materials.

[0062] Furthermore, the present application also includes: an alarm generation unit, which is used to generate an alarm command based on the scheduling instruction through Beidou if the scheduling public network is congested; and a Beidou scheduling unit, which is used to execute the scheduling decision of the first-priority scheduling resource based on the alarm command.

[0063] Specifically, the conventional communication network used to issue task instructions and coordinate resources cannot be used normally due to signal interruption, network congestion or equipment failure, resulting in the inability to deliver dispatch instructions in time. The dispatch public network usually relies on 4G, 5G or satellite public networks for data transmission, but in disaster scenarios such as earthquakes, floods, landslides, etc., the public network base station may be damaged or the signal is limited, and communication will be blocked. At this time, an alarm command based on the dispatch instruction will be generated through Beidou, and the short message communication function in the Beidou satellite navigation system will be enabled to generate alternative alarm-type dispatch information. Beidou short message communication does not rely on ground base stations, and can directly encode key dispatch instructions into short texts and forward them to target equipment or personnel via satellite. The dispatch instruction still maintains the original intention, such as requiring an emergency maintenance vehicle to arrive at a designated location within 30 minutes, but it is transmitted through another stable path. Then, the dispatch decision of the first-priority dispatch resource is executed based on the alarm command. Although the communication mode is switched, the task process remains consistent, and the optimal resource is still responsible for responding to the event.

[0064] Furthermore, the present application also includes: a task feedback unit, which is used to collect the execution status and execution positioning information of the first-priority scheduling resource during the execution of the scheduling instruction to form task feedback information; a deviation identification unit, which is used to compare the task feedback information with the scheduling instruction to identify the task execution deviation; a resource backtracking unit, which is used to trace the resource trajectory through the target positioning information and recommend additional scheduling resources if there is a task deviation; and a response status update unit, which is used to update the response status according to the task feedback information.

[0065] Specifically, the task feedback unit is a functional module responsible for collecting on-site execution information. When the first-priority dispatched resource receives the dispatch instruction and executes the task, it continuously collects the current status and location of the resource. The execution status refers to the operation status of the resource, such as whether it has reached the designated location, whether the task has been completed, or whether it has encountered obstacles; the execution positioning information is the real-time location coordinate data, for example, a repair vehicle has moved 5 kilometers in 10 minutes and is currently 100 meters east of the substation.

[0066] Since the actual execution may differ from the original scheduling plan, the role of the deviation identification unit is to compare the task feedback information with the scheduling instructions to determine whether a deviation has occurred. The scheduling instructions contain the task objectives, execution paths, estimated completion time, etc. When the feedback information shows that a certain content is not progressing as planned, such as a certain device not arriving at the destination on time, or the travel path deviates, it is identified as a task deviation. This function is critical to ensure the accuracy and timeliness of instruction execution.

[0067] Next, the resource backtracking unit is a correction mechanism that is activated when the system identifies a task deviation. Relying on the historical trajectory data recorded by the target positioning information, the path of the scheduling resource with problems is traced back, such as analyzing the moment when the resource was delayed or deviated from the original route. After completing the trajectory analysis, new supplementary resources can be recommended to take over the task in combination with the available resource status in the current area to compensate for the task interruption or efficiency reduction caused by the deviation.

[0068] Finally, the response status update unit updates the emergency response status of the event based on the latest task feedback information. The response status usually includes indicators such as responded, executing, abnormal interruption, and completed, which can help managers grasp the progress of the entire event in real time. For example, when dealing with a large-scale power supply failure, multiple tasks are executed at the same time, and the event dashboard will be automatically refreshed based on the feedback of each task, which is convenient for the dispatcher to coordinate uniformly.

[0069] Furthermore, the present application also includes: a process recording unit, which is used to record the entire process data of the target positioning information, the scheduling decision and the response status; an emergency file formation unit, which is used to store the entire process data in a structured manner in time sequence and spatial position to form the emergency response process file, wherein the emergency response process file has a support function for historical event backtracking queries based on the timeline and the target map.

[0070] Specifically, the target positioning information, dispatching decision and response status are recorded throughout the process. In power emergency management, key dynamic data will be continuously collected and recorded throughout the entire process from event occurrence, resource dispatch to task completion. The whole process data is structured and stored in chronological order and spatial location, and the sequence of events and the geographical location of resources are orderly integrated and stored in a database with time and space dimensions. This not only improves data query efficiency, but also makes the event evolution process clearer, forming an emergency response process archive, and then can preserve event processing record documents for a long time. Structured storage organizes data in tables, layers or timelines.

[0071] The emergency response process archive has the function of supporting historical event backtracking query. Backtracking query based on the timeline means that the entire process from the occurrence to the resolution of the event can be viewed; backtracking based on the target map can intuitively display the movement trajectory of resources in the geographic space and the task execution path. For example, when querying a certain accident handling, the entire process from the start of dispatch to the restoration of power supply, as well as each corresponding dispatch time point, can be displayed on the map. Among them, Figure 3 Shown is the most recent emergency response process archive record.

[0072] To sum up, the power emergency collaborative production control system based on Beidou and multi-source data fusion provided by this application has the following technical effects: by realizing an intelligent emergency dispatch system based on multi-source data fusion and a unified time and space benchmark, the efficiency of emergency resource dispatching, the traceability and optimization capability of the task execution process are improved, thereby improving the response speed and collaborative processing capability of the power system in emergencies.

[0073] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

[0074] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application belong to the scope of the present application and its equivalent technology, the present application is also intended to include these modifications and variations.

Claims

1. The power emergency collaborative production control system based on Beidou and multi-source data fusion is characterized by: include: The spatial information acquisition module is used to collect target spatial information of the target control area based on Beidou and multi-source monitors, including: A layer collection unit is used to obtain a power facility layer based on the monitoring of the power monitoring equipment, obtain a geographic layer through monitoring by a multi-source geographic monitor, obtain a resource layer based on Beidou collection, and obtain a risk layer based on monitoring by a multi-source risk monitor; A layer fusion unit, used for performing layer fusion on the power facility layer, the geographic layer, the resource layer and the risk layer to obtain target spatial information of the target control area; The positioning information obtaining module is used to align and map the target spatial information to the target map to obtain the target positioning information, including: A standard timestamp obtaining unit is used to extract layer timestamps with the power facility layer, the geographic layer, the resource layer and the risk layer as target layers, and extract any timestamps that overlap with the timestamps in the layer timestamps as standard timestamps; A spatial alignment unit, configured to align the target spatial information with the standard timestamp to obtain aligned spatial information; A spatial mapping unit, used for mapping the alignment spatial information to a target map to obtain the target positioning information; A decision determination module, used to determine a scheduling decision according to the target positioning information; A status update module, used to update the response status of the triggering event through the scheduling decision; The archive generation module is used to generate an emergency response process archive according to the response status.

2. The power emergency collaborative production control system based on Beidou and multi-source data fusion as claimed in claim 1 is characterized in that: The space mapping unit comprises: A positioning extension unit, configured to extend the target positioning information of the target layer with the alignment spatial information as a starting point according to the coincidence timestamp, to obtain dynamic spatial information; The dynamic positioning unit is used to map the dynamic spatial information to the target map based on the coincidence timestamp to obtain dynamic positioning information, and combine the dynamic positioning information to obtain the target positioning information.

3. The power emergency collaborative production control system based on Beidou and multi-source data fusion as claimed in claim 1 is characterized in that: The decision determination module comprises: A decision calling unit, used for screening the event type and response level of the triggering event, and calling a response decision; An instruction generating unit, configured to perform resource scheduling based on the target positioning information according to the response decision and generate a scheduling instruction; A simulation scheduling unit, used to extract the defect information to be scheduled in the scheduling instruction, extract any schedulable resource location information and corresponding any schedulable resource information from the target location information, perform simulation scheduling on the defect information to be scheduled through the any schedulable resource information, and obtain supplementary information to be scheduled; A satisfaction calculation unit is used to randomly extract schedulable resource location information and corresponding schedulable resource information through the target location information to schedule and supplement the to-be-scheduled supplementary information, perform scheduling satisfaction calculation of the arbitrary schedulable resource location information and the arbitrary schedulable resource information and the schedulable resource location information and the schedulable resource information, and identify the satisfactory schedulable resource location information as the first-priority scheduling resource of the trigger event; A priority scheduling unit is used to make a scheduling decision based on the first priority scheduling resource as the trigger event.

4. The power emergency collaborative production control system based on Beidou and multi-source data fusion as claimed in claim 3 is characterized in that: The decision calling unit comprises: A screening condition configuration unit, used to configure the screening condition according to a time range condition, an area range condition and a type condition; A level matching unit is used to match the response level according to the screening condition.

5. The power emergency collaborative production control system based on Beidou and multi-source data fusion as claimed in claim 3 is characterized in that: The sequence scheduling unit comprises: The public network scheduling unit is used to execute the scheduling decision of the first priority scheduling resource with the scheduling instruction through the scheduling public network generated by the target positioning information.

6. The power emergency collaborative production control system based on Beidou and multi-source data fusion as claimed in claim 5 is characterized in that: The sequence scheduling unit further includes: An alarm generating unit, configured to generate an alarm command based on the dispatching instruction through Beidou if the dispatching public network is blocked; A Beidou scheduling unit is used to execute a scheduling decision of the first priority scheduling resources based on the alarm command.

7. The power emergency collaborative production control system based on Beidou and multi-source data fusion as claimed in claim 3 is characterized in that: The state update module comprises: A task feedback unit, used to collect the execution status and execution location information of the first priority scheduling resource during the execution of the scheduling instruction to form task feedback information; a deviation identification unit, used to compare the task feedback information with the scheduling instruction to identify the task execution deviation; A resource backtracking unit, used to backtrack the resource trajectory through the target positioning information and recommend supplementary scheduling resources if there is a task deviation; A response status updating unit is used to update the response status according to the task feedback information.

8. The power emergency collaborative production control system based on Beidou and multi-source data fusion as claimed in claim 1 is characterized in that: The archive generation module comprises: A process recording unit, used for recording the whole process data of the target positioning information, the dispatching decision and the response status; The emergency archive forming unit is used to store the whole process data in a structured manner in time sequence and spatial position to form the emergency response process archive, wherein the emergency response process archive has a support function for historical event backtracking query based on the timeline and the target map.

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