Power Emergency Collaborative Production Management and Control System Based on Beidou and Multi-source Data Fusion

Abstract

The present application provides a power emergency collaborative production control system based on the integration of Beidou and multi-source data, which relates to the technical field of emergency control and includes: a spatial information acquisition module for acquiring target spatial information of a target control area based on Beidou and multi-source monitors; a positioning information obtaining module for aligning and mapping the target spatial information to a target map to obtain target positioning information; a decision determination module for determining a scheduling decision according to the target positioning information; a status update module for updating the response status of a trigger event through the scheduling decision; and an archive generation module for generating an emergency disposal process archive according to the response status. Through the present application, an intelligent emergency scheduling system based on multi-source data fusion and a unified spatio-temporal reference can be realized, achieving the technical effects of improving the efficiency of emergency resource scheduling, enhancing the traceability and optimization ability of the task execution process, thereby improving the response speed and collaborative processing ability of the power system in emergencies.

Description

Technical Field

[0001] This application relates to the technical field of emergency management and control, and particularly to a power emergency collaborative production management and control system based on the integration of Beidou and multi-source data. Background Art

[0002] In the current emergency management of the power system, with the increasing scale of the power grid and the continuous increase of environmental risks, improving the collaborative efficiency of power emergency response and the accuracy of resource scheduling has become an important development direction in 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 scheduling and limited monitoring means, and there are problems such as untimely response, obvious information islands, low resource utilization rate, and many command and decision-making blind spots.

[0003] Currently, in the process of emergency response, the existing technologies often lack multi-dimensional dynamic perception and integration of power facilities, geographical environment, resource status, and risk factors, and it is difficult to achieve efficient resource scheduling and joint command under a unified spatio-temporal reference. In addition, most systems fail to achieve real-time positioning of scheduling resources, nor can they completely record and identify deviations in the task execution process, resulting in the lack of closed-loop tracking and optimization capabilities during the execution of emergency tasks. Especially in the face of extreme situations such as public network communication congestion or failure, the system often cannot switch to a reliable communication guarantee method in time, thus affecting the coherence and stability of emergency response.

[0004] In summary, there are technical problems in the existing technologies that due to the lack of multi-source data integration capabilities and the support of a unified spatio-temporal reference, the emergency resource scheduling response is not timely and the execution process is uncontrollable, further affecting the rapid response ability and collaborative disposal efficiency of the power system in emergencies. Summary of the Invention

[0005] The purpose of this application is to provide a power emergency collaborative production management and control system based on the integration of Beidou and multi-source data, so as to solve the technical problems in the existing technologies that due to the lack of multi-source data integration capabilities and the support of a unified spatio-temporal reference, the emergency resource scheduling response is not timely and the execution process is uncontrollable, further affecting the rapid response ability and collaborative disposal efficiency of the power system in emergencies.

[0006] In view of the above problems, the present application provides a power emergency collaborative production control system based on the integration of Beidou and multi-source data, including: a spatial information acquisition module, configured to acquire target spatial information of a target control area based on Beidou and multi-source monitors, including: a layer acquisition unit, configured to obtain a power facility layer by monitoring with power monitoring equipment, obtain a geographic layer by monitoring with a multi-source geographic monitor, obtain a resource layer by acquiring based on Beidou, and obtain a risk layer by monitoring with a multi-source risk monitor; a layer fusion unit, configured to perform layer fusion on the power facility layer, the geographic layer, the resource layer, and the risk layer to obtain the target spatial information of the target control area; a positioning information obtaining module, configured to align and map the target spatial information to a target map to obtain target positioning information, including: a standard timestamp obtaining unit, configured 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 timestamp of the overlapping timestamps in the layer timestamps as the standard timestamp; a spatial alignment unit, configured to perform information timestamp alignment on the target spatial information through the standard timestamp to obtain aligned spatial information; a spatial mapping unit, configured to map the aligned spatial information to the target map to obtain the target positioning information; a decision determination module, configured to determine a scheduling decision according to the target positioning information; a status update module, configured to update the response status of a trigger event through the scheduling decision; an archive generation module, configured to generate an emergency disposal process archive according to the response status.

[0007] Preferably, the power emergency collaborative production control system based on the integration of Beidou and multi-source data further includes: a positioning extension unit, configured to extend the target positioning information of the target layer starting from the aligned spatial information according to the overlapping timestamp to obtain dynamic spatial information; a dynamic positioning unit, configured to map the dynamic spatial information to the target map based on the overlapping 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 the integration of Beidou and multi-source data further includes: a decision-making call unit, configured to screen the event type and response level of the triggered event and call a response decision; an instruction generation unit, configured to perform resource scheduling based on the target location information according to the response decision and generate a scheduling instruction; a simulation scheduling unit, configured to extract the to-be-scheduled defect information in the scheduling instruction, extract any schedulable resource location information and the corresponding any schedulable resource information from the target location information, and perform simulation scheduling on the to-be-scheduled defect information through the any schedulable resource information to obtain to-be-scheduled supplementary information; a satisfaction calculation unit, configured to randomly extract schedulable resource location information and the corresponding schedulable resource information from the target location information to perform scheduling supplementation on the to-be-scheduled supplementary information, calculate the scheduling satisfaction of the any schedulable resource location information and the any schedulable resource information as well as the schedulable resource location information and the schedulable resource information, and mark the satisfactory schedulable resource location information as the first-priority scheduling resource for the triggered event; a priority scheduling unit, configured to use the first-priority scheduling resource as the scheduling decision for the triggered event.

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

[0010] Preferably, the power emergency collaborative production control system based on the integration of Beidou and multi-source data further includes: a public network scheduling unit, configured to generate a scheduling public network through the target location information and execute the scheduling decision of the first-priority scheduling resource according to the scheduling instruction.

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

[0012] Preferably, the power emergency collaborative production control system based on the integration of Beidou and multi-source data further includes: a task feedback unit, configured 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, configured to compare the task feedback information with the scheduling instruction to identify task execution deviations; a resource traceback unit, configured to trace the resource trajectory through the target location information and recommend supplementary scheduling resources if there are task deviations; a response status update unit, configured to update the response status according to the task feedback information.

[0013] Preferably, the power emergency collaborative production control system based on the integration of Beidou and multi-source data further includes: a process recording unit for recording all-process data of the target positioning information, the dispatching decision-making, and the response status; an emergency file forming unit for structurally storing the all-process data in chronological order and spatial position to form the emergency disposal process file, wherein the emergency disposal process file has a support function for historical event backtracking query based on the time axis and the target map.

[0014] The technical solution provided in this application has at least the following technical effects or advantages: By implementing an intelligent emergency dispatching system based on the integration of multi-source data and a unified spatio-temporal benchmark, the technical effects of improving the efficiency of emergency resource dispatching, enhancing the traceability and optimization ability of the task execution process, and thus improving the response speed and collaborative processing ability of the power system in emergencies are achieved.

[0015] The above description is only an overview of the technical solution of this application. In order to be able to understand the technical means of this application more clearly, it can be implemented according to the content of the specification. And in order to make the above and other purposes, features, and advantages of this application more obvious and understandable, the specific embodiments of this application are specifically given below. It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of this application, nor is it used to limit the scope of this application. Other features of this application will become easily understandable through the following description. Brief Description of the Drawings

[0016] In order to more clearly illustrate the technical solutions in this application or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only exemplary, and for those of ordinary skill in the art, without creative efforts, other drawings can also be obtained according to the provided drawings.

[0017] Figure 1 It is a schematic structural diagram of the power emergency collaborative production control system based on the integration of Beidou and multi-source data of this application;

[0018] Figure 2 It is a schematic structural diagram of the spatial information acquisition module in the power emergency collaborative production control system based on the integration of Beidou and multi-source data of this application;

[0019] Figure 3 It is a schematic table diagram of the record of the emergency disposal process file for the most recent time in the power emergency collaborative production control system based on the integration of Beidou and multi-source data of this application.

[0020] Description of the drawing reference numerals: Spatial information acquisition module 1, positioning information obtaining module 2, decision-making determination module 3, status update module 4, file generation module 5, layer acquisition unit 11, layer fusion unit 12. Detailed implementation manners

[0021] By providing a power emergency collaborative production management and control system based on the integration of Beidou and multi-source data, the present application solves the technical problems existing in the prior art, that is, due to the lack of multi-source data fusion ability and unified spatio-temporal reference support, the emergency resource scheduling response is not timely and the execution process is uncontrollable, further affecting the rapid response ability and collaborative disposal efficiency of the power system in emergencies. An intelligent emergency scheduling system based on multi-source data fusion and unified spatio-temporal reference is realized, achieving the technical effects of improving the emergency resource scheduling efficiency, enhancing the traceability and optimization ability of the task execution process, and thus improving the response speed and collaborative processing ability of the power system in emergencies.

[0022] Next, 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 a part of the embodiments of the present application, rather than all the embodiments of the present application. It should be understood that the present application is not limited by the example embodiments described herein. Based on the embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the scope of protection of the present application. Additionally, it should be noted that for the sake of description, only the parts related to the present application are shown in the accompanying drawings rather than all of them.

[0023] Please refer to the attached Figure 1 , the present application provides a power emergency collaborative production management and control system based on the integration of Beidou and multi-source data, specifically including:

[0024] A spatial information acquisition module 1, configured to acquire target spatial information of a target management and control area based on Beidou and multi-source monitors.

[0025] Specifically, through the Beidou system and various types of on-site monitoring devices, the spatial positions and relevant status information of all important objects in the emergency management area are collected in real time. The Beidou system is a global satellite navigation system, with high-precision positioning, precise timekeeping, and short message communication functions, capable of stably providing position information at the level of several meters or even sub-meters, and is used in scenarios such as personnel positioning, vehicle trajectory tracking, and emergency equipment deployment in power emergencies. The short message function of Beidou is particularly crucial when the public network communication is interrupted, and short texts or status data can be sent back to the command center via satellites to ensure uninterrupted communication.

[0026] A multi-source monitor refers to a technical means of deploying multiple functional devices for on-site perception simultaneously, including video surveillance cameras, meteorological sensors, water level monitors, PMUs (synchronized phasor measurement units), SCADA systems, unmanned aerial vehicle (UAV) inspection equipment, etc. Data such as temperature, wind speed, water level, current, and voltage are obtained through different sensing mechanisms. For example, an infrared thermal imager installed on a main transformer can sense whether the temperature rise of the equipment is abnormal, while a UAV can collect image information of tower collapses from the air.

[0027] The target control area refers to the key control scope delimited according to event types, emergency levels, or preset rules, usually covering the areas around substations, important transmission corridors, accident-prone points, or risk-intensive areas. After a power emergency occurs, this area will serve as the core area for emergency resource dispatching and risk investigation. For example, after a strong typhoon passes, a local power bureau designates all facilities within a radius of 30 kilometers from the eye of the typhoon as the target control area and initiates a temporary dispatching mechanism.

[0028] The target spatial information refers to the entire data set collected within this area and having spatial coordinate attributes, including but not limited to equipment locations, personnel distributions, resource trajectories, risk point ranges, etc. It is presented in the form of layers in a map system and is accompanied by a timestamp for historical backtracking and dynamic comparison.

[0029] The positioning information obtaining module 2 is used to perform alignment mapping of the target spatial information to a target map to obtain target positioning information.

[0030] Specifically, performing alignment mapping of the target spatial information to a target map means loading the data that has been corrected in terms of time and space into an electronic map platform with a unified coordinate system. The target spatial information is a data set collected from different sources and aligned with a standard timestamp, including the locations and states of power facilities, the location information of personnel and vehicles, topographic environment elements, and the distribution status of risk events, etc. The mapping process is to perform spatial projection on all data with geographical location attributes according to their coordinate values so that they accurately correspond to the actual geographical locations on the map. Through mapping, target positioning information is obtained, and the clear geographical location and status description of each object at the current time point are obtained.

[0031] The decision-making determination module 3 is used to determine a dispatching decision according to the target positioning information.

[0032] Specifically, determining a dispatching decision according to the target positioning information means that after obtaining the specific locations of objects such as personnel, equipment, and resources on the map, based on the location information, combined with the location of the event occurrence and emergency requirements, a suitable dispatching arrangement is made. The dispatching decision is a process of selecting the optimal resources to perform operations according to emergency task needs, including resource allocation, path arrangement, time estimation, etc.

[0033] A status update module 4, configured to update the response status of a trigger event through the scheduling decision.

[0034] Specifically, the processing progress or disposal stage of an ongoing emergency event is updated using the existing scheduling decision content. That is, after the scheduling decision is determined, tasks are dispatched according to the decision content, such as dispatching a maintenance team or allocating emergency supplies. Subsequently, based on the actual execution situation of the instructions, the response status of the event is automatically or manually updated. The scheduling decision refers to a specific response plan formulated for an emergency event, including content such as the selection of resources, the execution method of tasks, and the time arrangement. The trigger event refers to an abnormal or risky situation identified by the system during the monitoring process, such as a sudden substation trip, a short circuit in line equipment, or damage to power facilities caused by natural disasters. The response status is used to represent the current stage in the entire event processing flow, such as unresponsive, responsive, in execution, completed, or processing interrupted.

[0035] An archive generation module 5, configured to generate an emergency disposal process archive according to the response status.

[0036] Specifically, based on the status information of each link in the event response process, a structured and traceable digital archive is summarized. The emergency disposal process archive includes not only the time node information of the event response, but also key content such as spatial location information, details of dispatched resources, and task execution feedback.

[0037] Furthermore, as Figure 2 shown, the present application further includes: a layer collection unit 11, configured to obtain a power facility layer according to the monitoring of power monitoring devices, obtain a geographic layer through a multi-source geographic monitor, obtain a resource layer based on Beidou collection, and obtain a risk layer according to the monitoring of a multi-source risk monitor; a layer fusion unit 12, configured to perform layer fusion on the power facility layer, the geographic layer, the resource layer, and the risk layer to obtain the target spatial information of the target control area.

[0038] Specifically, obtaining a power facility layer according to the monitoring of power monitoring devices means using automated monitoring devices installed inside the power system, such as SCADA systems, telemetry terminals, intelligent switches, and intelligent transformers, to collect real-time information such as the location, status, current, and voltage of power facilities such as transmission lines, substations, and switchyards, and visualizing this information in the form of a layer on a 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.

[0039] Obtain natural geographical information within the control area through various technical means such as lidar, remote sensing satellites, and ground mapping drones. The geographical layer mainly contains spatial feature information such as mountains, water bodies, roads, buildings, and vegetation, which are represented as tiles of different colors, shapes, and textures on the map. For example, mountains are represented by contour lines or three-dimensional modeling, rivers are presented as blue curves, and roads are shown as gray or black lines. Geographical data from different sources can complement each other to improve the restoration degree of the spatial scene. For example, newly built roads are identified through remote sensing images, and their actual traffic status is verified through ground vehicle radar.

[0040] Collect real-time positioning information through Beidou terminals deployed on vehicles, personnel, and portable emergency equipment, and project it onto the map to generate a resource layer. Each moving element in the resource layer has unique ID, position 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 feature of the Beidou system enables these resources to be real-time and accurate in large-scale dispatching. Especially in scenarios where public network communication is restricted, the short message function can still be relied on to report positions and status.

[0041] Through various risk monitoring devices, such as weather radars, geological disaster warning terminals, hydrological stations, fire monitoring cameras, etc., collect external risk information that may affect the operation of power facilities in real time within the region, and form a risk distribution map on the map. The risk layer includes spatial risk areas such as severe convective weather belts, landslide warning areas, waterlogging accumulation 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 main transmission lines, and risk assessment and resource dispatching need to be carried out within 30 minutes.

[0042] Overlay, align, and link the four types of layers under a unified geographical information coordinate system and time reference, so that the spatial elements in all layers are accurately and conflict-free displayed on the same map. Through layer fusion, spatial interaction analysis of power facilities with the natural environment, emergency resources, and risk areas can be realized. For example, judge whether a certain device is in a landslide warning area, whether the current resources can reach the scene before the warning, and whether the road is unobstructed.

[0043] Further, this application also includes: a standard timestamp obtaining unit, configured to extract layer timestamps with the power facility layer, the geographical layer, the resource layer, and the risk layer as target layers, and extract any timestamp among the overlapping timestamps in the layer timestamps as the standard timestamp; a spatial alignment unit, configured to perform information timestamp alignment on the target spatial information through the standard timestamp to obtain aligned spatial information; and a spatial mapping unit, configured to map the aligned spatial information to a target map to obtain the target positioning information.

[0044] Specifically, layer timestamps are extracted from the power facility layer, the geographical layer, the resource layer, and the risk layer as target layers, and the specific time information corresponding to the recorded data is extracted respectively. In the power facility layer, the operating status of each line, substation, or other equipment will carry the acquisition time; although the geographical layer changes slowly, dynamic terrain change information such as flash floods, landslides, and road collapses will also be recorded over time; the positions of vehicles, personnel, and equipment in the resource layer will have specific timestamps each time they are reported; and the risk layer such as meteorological warnings, water level changes, and fire spread itself depends on time evolution.

[0045] From the time information of all layers, find the time point when there are data records at a certain moment, and use this as the reference time for unified alignment. The overlapping timestamp is the time node when multiple layers have valid data at this moment, ensuring the consistency and comparability of the data. Select any one of the overlapping timestamps as the standard, and achieve precise alignment between multiple layers at this moment, avoiding spatial information misalignment or logical conflicts caused by different acquisition times.

[0046] Taking the selected standard time as the anchor point, synchronize the data at this moment 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 positions from the resource layer, radar echo information from the risk layer, etc., and combine them into a set of spatial data sets with spatio-temporal consistency, which is called aligned spatial information.

[0047] Place the layer data with time alignment completed into a unified geographic information system map to achieve visual presentation in space and subsequent linkage processing. The target map is a standardized geographic base map that can be compatible with the coordinate projections of various layer data. The mapping process is actually to overlay different objects on the same electronic map in the form of graphics, symbols, colors, etc., so that users can intuitively see the accurate positions and current states of each object.

[0048] Further, this application also includes: a positioning extension unit, configured to extend target positioning information for the target layer starting from the alignment spatial information according to the coincidence timestamp, to obtain dynamic spatial information; and a dynamic positioning unit, configured 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.

[0049] Specifically, layer timestamps are extracted from the power facility layer, the geographical layer, the resource layer, and the risk layer as the target layers, and the specific time information corresponding to each when recording data is extracted respectively. In the power facility layer, the operating status of each line, substation, or other equipment will carry the acquisition time; although the geographical layer changes slowly, dynamic terrain change information such as mountain floods, landslides, and road collapses will also be recorded over time; the positions of vehicles, personnel, and equipment in the resource layer will have specific timestamps each time they are reported; and the risk layer such as meteorological warnings, water level changes, and fire spread itself depends on time evolution. Therefore, to achieve data collaboration between different layers, it is necessary to first extract the timestamps bound to the spatial state from them.

[0050] Any one of the coincidence timestamps in the extracted layer timestamps is used as the standard timestamp. From the time information of all layers, a time point at which data records exist at a certain moment is found, and this is used as the reference time for unified alignment. The coincidence timestamp is a time node at which multiple layers have valid data at this moment, ensuring data consistency and comparability. Selecting any one of the coincidence timestamps as the standard is to achieve precise alignment between multiple layers at this moment, avoiding spatial information misalignment or logical conflicts caused by different acquisition times.

[0051] Taking the selected standard time as the anchor point, the data of each layer at this moment is synchronized to obtain the alignment spatial information. It is only to screen and match the spatial objects and their states of each layer at the same time point. For example, at a certain standard timestamp of 10:15, the alignment process will extract line voltage information from the power facility layer, vehicle positions from the resource layer, radar echo information from the risk layer, etc., and combine them into a set of spatial data sets with spatio-temporal consistency, which is called the alignment spatial information.

[0052] The layer data after time alignment is placed into a unified geographic information system map to achieve visual presentation in space and subsequent linkage processing. The target map is a standardized geographic base map, usually using the WGS-84 coordinate system, which can be compatible with the coordinate projections of various layer data. The mapping process is actually to overlay different objects on the same electronic map in the form of graphics, symbols, colors, etc., so that users can intuitively see the accurate positions and current states of each object.

[0053] Furthermore, the present application further includes: a decision-making call unit for screening the event type and response level of the trigger event and calling a response decision; an instruction generation unit for performing resource scheduling based on the target location information according to the response decision and generating a scheduling instruction; a simulation scheduling unit for extracting the to-be-scheduled defect information in the scheduling instruction, extracting any schedulable resource location information and corresponding any schedulable resource information from the target location information, and performing simulation scheduling of the to-be-scheduled defect information through the any schedulable resource information to obtain to-be-scheduled supplementary information; a satisfaction calculation unit for randomly extracting schedulable resource location information and corresponding schedulable resource information from the target location information to perform scheduling supplementation on the to-be-scheduled supplementary information, calculating the scheduling satisfaction 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 identifying the satisfactory schedulable resource location information as the first-priority scheduling resource for the trigger event; a priority scheduling unit for using the first-priority scheduling resource as the scheduling decision for the trigger event.

[0054] Specifically, screen the event type and response level of the trigger event. When detecting the occurrence of an event, identify which category the event belongs to, such as equipment failure, natural disaster, communication anomaly, or human sabotage, etc. At the same time, it is also necessary to evaluate its impact degree, that is, the response level, which is usually divided into three levels, two levels, one level, or especially major events. Once the event type and response level are determined, call the corresponding response decision according to the preset rules. The response decision is a pre-set corresponding processing process and emergency resource allocation plan.

[0055] Next, perform resource scheduling based on the target location information according to the response decision and generate a scheduling instruction. Based on the target location information, that is, the spatial positions of relevant personnel, equipment, vehicles, etc., match the eligible emergency resources to the event site and generate a scheduling order containing task instructions, time requirements, target coordinates, etc., as the core basis for subsequent scheduling and dispatch, ensuring that the task is executed by the appropriate personnel or equipment at the correct time.

[0056] Then, extract the to-be-scheduled defect information in the scheduling instruction. The defect information refers to the malfunction points caused by the event, such as the power outage area, communication interruption node, or the location of the damaged equipment. From the existing target location information, select any schedulable resource locations and corresponding resource information, including personnel qualifications, equipment capabilities, current status, etc. Subsequently, use the resource information for simulation scheduling to evaluate whether the scheduling resources can effectively match the current defect point requirements and generate preliminary scheduling supplementary information, such as prompts for problems such as insufficient resource quantity and task response delay.

[0057] Next, randomly extract another batch of schedulable resource location information and corresponding resource information from the target location information, schedule and supplement the previously generated supplementary information, and introduce alternative resources in places where the preliminary simulation matching is insufficient to improve the overall response quality. Calculate the satisfaction degree of the resource combinations in these two rounds of scheduling. The satisfaction degree index can be comprehensively obtained based on multiple dimensions such as resource response time, distance from the scene, and equipment capacity redundancy. Finally, mark the set of resource location information with the highest satisfaction degree as the first-priority scheduling resource, and this set of resources will be preferentially used to handle the current event.

[0058] Finally, taking the first-priority scheduling resource as the scheduling decision for the triggering event, group this resource as the final decision-making plan and submit it, and enter the specific execution link, thereby completing the whole process from event discovery, type judgment, response strategy invocation, to resource screening, simulation scheduling, satisfaction evaluation, and final task distribution.

[0059] Furthermore, this application also includes: a screening condition configuration unit for configuring the screening conditions according to time range conditions, regional range conditions, and type conditions; a level matching unit for matching the response level according to the screening conditions.

[0060] Specifically, before dealing with emergency events, set a group of basic parameters for event filtering and classification. The time range condition refers to the time interval when screening the events of concern, such as power outage records within the past 24 hours. The regional range condition refers to delimiting the geographical area where the event occurs, such as a certain county, the coverage area of a substation, or within 3 kilometers around a construction site. The type condition is the definition of the nature of the event, such as only screening specific types such as cable faults, pole tilts, and equipment anomalies. Through the combination of the three types of conditions, the huge historical or real-time event data can be screened out to obtain an information set relevant to the current processing, ensuring that subsequent decisions are more targeted.

[0061] Next, match the response level according to the screening conditions. After the screening is completed, evaluate the response level of each event that meets the conditions. The response level is a preset hierarchical management method, usually divided into several levels such as general, important, urgent, and extremely important, used to reflect the threat degree of the event to system operation, personnel safety, or equipment stability. The matching process is based on a rule table. For example, an event with the time at night, the region near an important transmission line, and the type of equipment explosion is likely to be rated as urgent or extremely important.

[0062] Furthermore, this application also includes: a public network scheduling unit for generating a scheduling public network through the target location information and executing the scheduling decision of the first-priority scheduling resource with the scheduling instruction.

[0063] Specifically, based on the fused spatial information, a dispatching communication network for instruction issuance, resource coordination, and information transmission is established in the power emergency management and control system. The target location information is the precise geographical locations of various resources, equipment, and personnel obtained through the integration of the Beidou system and 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 construct a spatially logically associated communication link, that is, the dispatching public network, which refers to the standard communication channel used in dispatching and can be any network with coverage ability and bandwidth guarantee, such as a private network, a public network, 4G, 5G, etc.

[0064] The dispatching decision of the first-priority dispatching resource for the execution of the dispatching instruction means that after evaluating and prioritizing the available resources, the resource ranked highest and most suitable for the emergency task is selected, and a clear dispatching instruction for this resource is generated, including operations such as arriving at the designated location, performing repairs, replacing equipment, or transporting materials.

[0065] Furthermore, this application also includes: an alarm generation unit for generating an alarm command based on the dispatching instruction through Beidou if the dispatching public network is congested; a Beidou dispatching unit for executing the dispatching decision of the first-priority dispatching resource based on the alarm command.

[0066] Specifically, the conventional communication network for issuing task instructions and coordinating resources cannot be used normally due to signal interruption, network congestion, or equipment failure, resulting in the failure to deliver the dispatching instruction in a timely manner. The dispatching public network usually relies on 4G, 5G, or satellite public networks for data transmission, but in disaster scenarios such as earthquakes, floods, and landslides, public network base stations may be damaged or the signal is limited, and communication congestion will occur. At this time, an alarm command based on the dispatching instruction is generated through Beidou, and the short message communication function in the Beidou satellite navigation system is enabled to generate alternative alarm-type dispatching information. Beidou short message communication does not rely on ground base stations and can directly encode the key dispatching instruction into a short text and forward it to the target device or personnel through the satellite. The dispatching instruction still maintains the original intention, for example, requiring a certain emergency repair vehicle to arrive at the designated location within 30 minutes, but it is transmitted through another stable path. Then, the dispatching decision of the first-priority dispatching resource is executed based on the alarm command. Although the communication method is switched, the task process remains the same, and the optimal resource is still responsible for responding to the event.

[0067] Furthermore, the present application further includes: a task feedback unit, configured to collect the execution status and execution positioning information of the first-priority scheduling resource during the execution of the scheduling instruction, and form task feedback information; a deviation identification unit, configured to compare the task feedback information with the scheduling instruction to identify task execution deviations; a resource backtracking unit, configured to, if there are task deviations, backtrack the resource trajectory through the target positioning information and recommend supplementary scheduling resources; and a response status update unit, configured to update the response status according to the task feedback information.

[0068] Specifically, the task feedback unit is a functional module responsible for collecting on-site execution information. During the process where the first-priority scheduling resource receives the scheduling instruction and executes the task, it continuously collects the current status and location of the resource. The execution status refers to the operating conditions 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 real-time position coordinate data, such as a repair vehicle has moved 5 kilometers within 10 minutes and is currently parked 100 meters east of the substation.

[0069] 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 instruction to determine whether deviations have occurred. The scheduling instruction contains content such as task objectives, execution paths, and estimated completion times. When the feedback information shows that a certain content has not progressed as planned, such as a device not arriving at the destination on time or the travel path deviating, it is identified as a task deviation. This function is crucial for ensuring the accuracy and timeliness of instruction execution.

[0070] Subsequently, the resource backtracking unit is a correction mechanism activated when the system identifies task deviations. Relying on the historical trajectory data recorded by the target positioning information, it backtracks the path of the scheduling resource with problems, such as analyzing from which moment the resource started to be delayed or deviated from the original route. After completing the trajectory analysis, it can recommend new supplementary resources to take over the task in combination with the available resource status in the current area to make up for task interruptions or efficiency declines caused by deviations.

[0071] Finally, the response status update unit updates the emergency response status of the event according to the latest task feedback information. The response status usually includes identifiers such as "responded", "executing", "abnormally interrupted", "completed", etc., which can help managers grasp the handling progress of the entire event in real time. For example, when dealing with a large-scale power supply failure and multiple tasks are executed simultaneously, the event dashboard will be automatically refreshed according to the feedback of each task, facilitating the dispatcher's unified coordination.

[0072] Furthermore, this application also includes: a process recording unit for recording all-process data of the target positioning information, the scheduling decision, and the response status; an emergency file forming unit for structurally storing the all-process data in chronological order and spatial location to form the emergency disposal process file, where the emergency disposal process file has a support function for querying historical events based on the timeline and the target map.

[0073] Specifically, for recording all-process data of the target positioning information, the scheduling decision, and the response status, in power emergency management, key dynamic data will be continuously collected and recorded throughout the process from the occurrence of an event, resource scheduling to task completion. Structurally store the all-process data in chronological order and spatial location, orderly integrate the sequence of event occurrence and the geographical location of resources, and store them in a database with spatio-temporal dimensions, which not only improves the data query efficiency but also makes the event evolution process clearer, forming an emergency disposal process file, and then the event processing record documents can be stored for a long time. The structural storage organizes data in the form of tables, layers, or timelines.

[0074] The emergency disposal process file has the function of supporting the query of historical event backtracking. The backtracking query based on the timeline means that the entire process of an event from occurrence to resolution can be viewed; the backtracking based on the target map can intuitively display the movement trajectory of resources in the geographical space and the task execution path. For example, when querying the handling of a certain accident, the entire process from the start of scheduling to power restoration and the corresponding scheduling time points can be displayed on the map. Among them, as Figure 3 shown is the record of the latest emergency disposal process file.

[0075] In summary, the power emergency collaborative production control system based on the integration of Beidou and multi-source data provided by this application has the following technical effects: by implementing an intelligent emergency scheduling system based on the integration of multi-source data and a unified spatio-temporal reference, the technical effects of improving the efficiency of emergency resource scheduling, enhancing the traceability and optimization ability of the task execution process, and thus improving the response speed and collaborative processing ability of the power system in emergencies are achieved.

[0076] The above description of the disclosed embodiments enables those skilled in the art to implement or use this application. Various modifications to these embodiments will be obvious to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this 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.

[0077] Obviously, those skilled in the art can make various changes and modifications to this application without departing from the spirit and scope of this application. Thus, if these modifications and variations of this application fall within the scope of this application and its equivalent technologies, this application is also intended to include these changes and modifications.

Claims

1. A power emergency collaborative production control system based on the integration of Beidou and multi-source data, characterized in that, Including: A space information acquisition module, which is used to acquire the target space information of the target control area based on Beidou and multi-source monitors, including: A layer acquisition unit, which is used to obtain the power facility layer by monitoring with power monitoring equipment, obtain the geographical layer by monitoring with multi-source geographical monitors, obtain the resource layer based on Beidou acquisition, and obtain the risk layer by monitoring with multi-source risk monitors; 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 space information of the target control area; A positioning information obtaining module, which is used to align and map the target space information to a target map to obtain target positioning information, including: A standard timestamp obtaining unit, which is used to extract the layer timestamps with the power facility layer, the geographical layer, the resource layer and the risk layer as target layers, and extract any timestamp of the overlapping timestamps in the layer timestamps as the standard timestamp; A space alignment unit, which is used to perform information timestamp alignment on the target space information through the standard timestamp to obtain aligned space information; A space mapping unit, which is used to map the aligned space information to the target map to obtain the target positioning information; A decision-making determination module, which is used to determine a scheduling decision according to the target positioning information; A status update module, which is used to update the response status of a trigger event through the scheduling decision; An archive generation module, which is used to generate an emergency disposal process archive according to the response status; The space mapping unit includes: A positioning expansion unit, which is used to expand the target positioning information with the aligned space information as the starting point for the target layer according to the overlapping timestamp to obtain dynamic space information; A dynamic positioning unit, which is used to map the dynamic space information to the target map based on the overlapping timestamp to obtain dynamic positioning information, and combine the dynamic positioning information to obtain the target positioning information; The decision-making determination module includes: A decision-making call unit, which is used to screen the event type and response level of the trigger event and call a response decision; An instruction generation 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 to-be-scheduled defect information in the scheduling instruction, extract any schedulable resource positioning information and the corresponding any schedulable resource information from the target positioning information, and perform simulation scheduling on the to-be-scheduled defect information through the any schedulable resource information to obtain to-be-scheduled supplementary information; A satisfaction calculation unit, which is used to randomly extract schedulable resource positioning information and the corresponding schedulable resource information from the target positioning information to perform scheduling supplementation on the to-be-scheduled supplementary information, calculate the scheduling satisfaction 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 mark the satisfactory schedulable resource positioning information as the first-priority scheduling resource for 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.

2. The power emergency collaborative production control system based on the integration of Beidou and multi-source data according to claim 1, characterized in that, The decision-making call unit includes: A screening condition configuration unit for configuring the screening conditions according to time range conditions, regional range conditions, and type conditions; A level matching unit for matching the response level according to the screening conditions.

3. The power emergency collaborative production control system based on the integration of Beidou and multi-source data according to claim 1, characterized in that, The sequence scheduling unit includes: A public network scheduling unit for generating a scheduling public network through the target location information and executing the scheduling decision of the first-sequence scheduling resources according to the scheduling instruction.

4. The power emergency collaborative production control system based on the integration of Beidou and multi-source data according to claim 3, characterized in that, The sequence scheduling unit further includes: An alarm generation unit for generating an alarm command based on the scheduling instruction through Beidou if the scheduling public network is blocked; A Beidou scheduling unit for executing the scheduling decision of the first-sequence scheduling resources based on the alarm command.

5. The power emergency collaborative production control system based on the integration of Beidou and multi-source data according to claim 1, wherein, The status update module includes: A task feedback unit for collecting the execution status and execution location information of the first-sequence scheduling resources during the execution of the scheduling instruction to form task feedback information; A deviation identification unit for comparing the task feedback information with the scheduling instruction to identify task execution deviations; A resource traceback unit for tracing the resource trajectory through the target location information and recommending supplementary scheduling resources if there are task deviations; A response status update unit for updating the response status according to the task feedback information.

6. The power emergency collaborative production control system based on the integration of Beidou and multi-source data according to claim 1, characterized in that, The file generation module includes: A process recording unit for recording all-process data of the target location information, the scheduling decision, and the response status; An emergency file formation unit for structurally storing the all-process data in chronological order and spatial location to form the emergency disposal process file, where the emergency disposal process file has a support function for historical event backtracking query based on the time axis and the target map.

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