Emergency response methods, systems, and electronic devices based on accident profiling

Abstract

This invention relates to an emergency response method, system, and electronic device based on accident profiling. The method includes: upon detecting a sudden incident, incrementally modifying the current accident profile of the incident based on real-time data during the incident handling process to form an updated accident profile; acquiring causal data and historical handling experience data for the updated accident profile; identifying and determining the core causal information of the sudden incident from the causal data based on the updated accident profile; generating a current handling strategy based on the core causal information; and pushing the current handling strategy to the incident handling terminal. This invention can dynamically improve the accuracy and timeliness of accident profiling, making emergency response decisions more aligned with the actual situation on-site, effectively improving the efficiency of emergency response and resource allocation in urban public transportation incidents, reducing handling risks, and ensuring the safety and stability of public transportation operations.

Description

Technical Field

[0001] This invention relates to the field of urban intelligent transportation technology, and more specifically, to an emergency response method, system, and electronic device based on accident profiling. Background Technology

[0002] With the continuous advancement of networked and city-wide operation of urban public transportation, the increasing density of routes, the normalization of peak passenger flows, and the complexity of operational scenarios have significantly increased the frequency and difficulty of handling various operational emergencies. This places higher demands on the speed of on-site emergency response, the accuracy of cause identification, the rationality of resource allocation, and the stability of operational safety. Accident profiling technology, as an important supporting tool for public transportation emergency response and risk assessment, provides key evidence for on-site emergency handling, plan generation, risk prevention and control, and post-event review, and has become a core component of the urban smart public transportation operation safety assurance system.

[0003] In the process of developing this invention, the applicant discovered that existing post-event static construction methods have significant limitations. Typically, after an emergency is handled, an accident profile is passively generated based on delayed information such as post-event summaries of event records, on-site data, and handling results. This profile can only be used for post-event cause analysis, experience summarization, and archiving, and cannot provide real-time support during the event handling process. Ultimately, this leads to insufficient targeting of emergency response, unreasonable resource allocation, and low handling efficiency, making it difficult to meet the requirements for ensuring the safe, efficient, and stable operation of modern urban public transportation. Summary of the Invention

[0004] Based on this, the present invention provides an emergency response method, system and electronic device based on accident profiling to solve the above problems.

[0005] In a first aspect, the present invention provides an emergency response method based on an accident profile. The method includes: upon detecting an emergency, incrementally modifying the current accident profile of the emergency based on real-time data during the emergency response process to form an updated accident profile; acquiring the causal data and historical response experience data of the updated accident profile; identifying and determining the core causal information of the emergency from the causal data based on the updated accident profile; generating a current response strategy based on the core causal information; and pushing the current response strategy to the emergency response terminal.

[0006] Optionally, in this embodiment of the invention, the current accident profile of the emergency is incrementally modified during the emergency response process based on real-time data. This includes: acquiring real-time data from the scene; the real-time data includes the response progress, resource consumption, scene environment, and response effects; cleaning, parsing, and structuring the real-time data to generate incremental data that can be used to modify the accident profile; and adding the incremental data to the fields of the accident profile in real time according to preset dimensions. The preset dimensions include the basic accident dimension, the cause dimension, the response dimension, the scene dynamic dimension, and the effect dimension. By incrementally modifying the accident image, the accident profile can be upgraded from static post-event generation to dynamic in-event updating, effectively expanding the dimensional coverage of the accident profile, improving the completeness, timeliness, and accuracy of the accident profile information, and overcoming the shortcomings of traditional accident profiles, such as information lag, incomplete dimensions, and inability to restore the entire process state.

[0007] Optionally, in this embodiment of the invention, before pushing the current handling strategy to the emergency response terminal, the method further includes: retrieving the optimal handling experience of similar accidents from historical handling experience data, and optimizing the current handling strategy based on the optimal handling experience; this can combine historical successful handling experience with the actual situation on site, effectively improve the scientificity, rationality and on-site adaptability of the current handling strategy, improve the problem of traditional handling methods relying too much on human experience and lacking strategy targeting, and further improve the efficiency and effectiveness of emergency response.

[0008] In the above implementation process, the optimal handling experience for similar accidents is retrieved from historical handling experience data, including: extracting features from the updated accident profile to generate a corresponding accident profile vector; performing a nearest neighbor search based on the accident profile vector and pre-set spatiotemporal constraints to match historical similar accidents; extracting historical handling experience from the matched historical similar accidents to obtain the optimal handling experience; enabling the accident profile data to empower on-site handling in real time, providing a reliable basis for emergency resource scheduling and handling plan formulation, improving the pertinence and scientific nature of handling decisions, and addressing the problem of traditional handling relying too much on human experience and being out of touch with the actual on-site conditions.

[0009] The above implementation process also includes determining the accident location, scope of impact, and resource requirements based on the updated accident profile; generating resource dispatch instructions based on the target disposal strategy, accident location, scope of impact, and resource requirements; and sending the target disposal strategy and resource dispatch instructions to the emergency response terminal. This enables the nearby allocation, type matching, and precise quantity deployment of emergency resources, making resource dispatch more aligned with actual on-site needs, avoiding resource redundancy or insufficiency, and improving resource utilization efficiency and dispatch rationality. Simultaneously sending the target disposal strategy and resource dispatch instructions to the emergency response terminal allows for coordinated linkage between the disposal plan and resource execution, further enhancing the overall effectiveness and response speed of emergency response, and ensuring efficient and orderly progress of on-site response.

[0010] The above implementation process also includes reassessing the risk level of the current emergency based on the updated accident profile after incremental modifications during the event; sending the reassessed risk level to the emergency response terminal to update the basis for on-site handling and resource allocation; enabling the risk level to truly reflect the real-time status of the scene, overcoming the defects of the initial risk assessment and the actual situation, and improving the timeliness and accuracy of risk assessment; and simultaneously sending the reassessed risk level to the emergency response terminal can dynamically update the on-site handling intensity and resource allocation basis, so that the handling decisions and resource allocation are always adapted to the current risk level, further improving the flexibility, safety and accuracy of emergency response.

[0011] Optionally, in this embodiment of the invention, before monitoring, the method further includes: establishing a bidirectional data channel between the emergency response terminal and the accident profile; wherein a distributed message queue is used for data transmission between the emergency response terminal and the accident profile, and a dual-interface mode supports bidirectional interaction between the emergency response terminal and the accident profile. By establishing a bidirectional data channel between the emergency response terminal and the accident profile before monitoring, using a distributed message queue to ensure high concurrency, low latency, and stability of data transmission, and achieving bidirectional real-time interaction through a dual-interface mode, the data barrier between the response module and the profile module can be effectively broken down, enabling real-time communication and bidirectional empowerment of data during the response process and information in the accident profile. This provides efficient and reliable data transmission support for incremental modification of the accident profile during the event, identification of core causes, optimization of response strategies, and resource scheduling, thereby improving the overall system's linkage and response efficiency.

[0012] Optionally, in this embodiment of the invention, it also includes recording data transmission-related indicators, the number of supplemented fields in the full-dimensional updated accident profile, the matching status between the target handling strategy and the actual execution content, and the time consumed throughout the entire handling process; determining the ratio of the number of filled fields to the total number of fields in the updated accident profile as the accident profile completeness; generating evaluation information for the emergency response process based on the recorded information and the accident profile completeness; enabling quantifiable and objective evaluation of the entire emergency response process, providing intuitive evidence for reviewing the handling effect, optimizing data channels, improving profile completeness, and iterating handling strategies, and helping to continuously improve the emergency response mechanism and enhance its handling efficiency.

[0013] Secondly, the present invention also provides an emergency response system based on accident profiles. The system includes: a real-time profile update module, used to incrementally modify the current accident profile of the emergency based on real-time data during the emergency response process when an emergency is detected, so as to form an updated accident profile, and to obtain the causal data and historical response experience data of the updated accident profile; a core causal identification module, used to identify and determine the core causal information of the emergency from the causal data based on the updated accident profile; and a strategy generation and push module, used to generate the current response strategy based on the core causal information and push it to the emergency response terminal.

[0014] Thirdly, embodiments of the present invention provide an electronic device, the electronic device including a memory and a processor, the memory storing program instructions, and the processor reading and running the program instructions, executing the steps in any of the above implementations.

[0015] According to the technical solution of the present invention, after a sudden event is detected, the current accident profile is incrementally modified in real time based on the handling data to form an updated accident profile. The trigger data and historical handling experience data are obtained from the updated accident profile, and the core trigger information is identified based on the updated accident profile to generate and push the current handling strategy. This can dynamically improve the accuracy and timeliness of the accident profile, make emergency handling decisions more in line with the actual situation on site, effectively improve the efficiency of emergency handling and resource allocation of urban public transportation emergencies, reduce handling risks, and ensure the safety and stability of public transportation operations.

[0016] According to the technical solution of the present invention, the current accident profile is incrementally modified in real time based on the real-time dynamic data during the emergency response process. The incremental data such as response progress, resource consumption, on-site environment, and response effect are supplemented to the corresponding fields of the accident profile in multiple dimensions. This can realize the upgrade of the accident profile from static generation after the event to dynamic updating in real time, effectively expand the dimensional coverage of the accident profile, improve the completeness, timeliness and accuracy of the accident profile information, and overcome the defects of traditional accident profile information such as lag, incomplete dimensions and inability to restore the entire process state.

[0017] This invention identifies core causal information based on dynamically updated accident profiles, retrieves optimal handling experience from similar historical accidents to generate optimized handling strategies, and generates precise dispatch instructions by combining accident location, impact range, and resource requirements. It can empower on-site handling with accident profile data in real time, provide a reliable basis for emergency resource dispatch and handling plan formulation, improve the pertinence and scientific nature of handling decisions, and improve the problem of traditional handling relying too much on human experience and being out of touch with the actual situation on site.

[0018] Meanwhile, this invention re-determines the risk level of the emergency based on the continuously updated accident profile throughout the entire process and synchronizes it to the handling end. It can dynamically adjust the on-site handling basis and resource allocation, so that the handling decision can adapt to the changes in the on-site status in real time, improve the flexibility and response speed of emergency handling, and adapt to the operational needs of urban public transportation scenarios with large fluctuations in passenger flow, rapid changes in scenarios, and high handling requirements.

[0019] Furthermore, this invention determines the completeness of the accident profile based on the number of supplemented fields formed by incremental data supplementation, records data transmission indicators, strategy matching status, and the time consumed throughout the entire handling process, which enables quantifiable evaluation of the handling process and provides objective support for process optimization. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in the embodiments of the present invention or the conventional technology, the drawings used in the description of the embodiments or the conventional technology will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0021] Figure 1 This is a flowchart of an emergency response method based on accident profiling provided in an embodiment of the present invention; Figure 2 This is a flowchart of the incremental modification method provided in the embodiments of the present invention; Figure 3 This is a flowchart of the disposal strategy optimization method provided in the embodiments of the present invention; Figure 4 This is a flowchart of the treatment experience retrieval method provided in the embodiments of the present invention; Figure 5 This is a flowchart of the resource scheduling instruction generation method provided in the embodiments of the present invention; Figure 6 This is a flowchart of the dynamic risk level determination method provided in the embodiments of the present invention; Figure 7 This is a flowchart of the disposal process evaluation generation method provided in the embodiments of the present invention; Figure 8 This is a schematic diagram of the structure of the emergency response system based on accident profiling provided in an embodiment of the present invention. Detailed Implementation

[0022] The technical solutions of the embodiments of the present invention will now be described with reference to the accompanying drawings. For example, the flowcharts and block diagrams in the drawings illustrate the architecture, functions, and operations of possible implementations of systems and methods according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagram may represent a module or part of a program segment, which contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than those marked in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, and combinations of blocks in the block diagram and / or flowchart, can be implemented using a dedicated hardware-based system that performs the specified functions or actions. In addition, the functional modules in the various embodiments of the present invention may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.

[0023] Please refer to Figure 1 , Figure 1 A flowchart illustrating an emergency response method based on accident profiling provided for an embodiment of the present invention; the emergency response method based on accident profiling includes: Step S100: Upon detecting an emergency, the current accident profile of the emergency is incrementally modified during the emergency response process based on real-time data to form an updated accident profile, and the causal data and historical response experience data of the updated accident profile are obtained.

[0024] In step S100 above, when the monitoring port detects an emergency, it can acquire real-time data such as the progress of the emergency response, resource consumption, on-site environment, and response effect through on-site mobile handling terminals, intelligent acquisition devices, environmental sensors, and status monitoring modules. The acquired real-time data is cleaned, parsed, and structured to generate incremental data that can be used to modify the accident profile. The incremental data is then added to the corresponding fields of the current accident profile of the emergency in real time according to the accident basic dimension, cause dimension, handling dimension, on-site dynamic dimension, and effect dimension. This completes the in-process incremental modification of the current accident profile and forms an updated accident profile. At the same time, the corresponding cause data is extracted from the updated accident profile, and the historical handling experience data pre-stored in the system is obtained to provide accurate and complete data support for subsequent core cause identification and handling strategy matching.

[0025] Step S200: Identify and determine the core triggering information of the sudden event from the triggering data based on the updated accident profile.

[0026] In step S200 above, based on the updated accident profile that has been modified incrementally during the event, the trigger data contained therein is extracted, filtered and key features are identified, redundant and invalid trigger-related information is removed, and the core trigger information that caused the current emergency is located and determined, so as to provide a basis for accurate matching of subsequent handling strategies.

[0027] Step S300: Generate the current handling strategy based on the core cause information; push the current handling strategy to the emergency handling terminal.

[0028] In step S300 above, a standardized response strategy library is pre-built. The library stores standardized response plans that have been verified historically and comply with urban public transportation emergency response standards, categorized by dimensions such as emergency type, core trigger, risk level, on-site scenario, and scope of impact. The response plans include response procedures, response actions, resource allocation requirements, on-site evacuation rules, and key points of safety control. They can be quickly matched and invoked based on different core trigger information to ensure that the generated current response strategy is standardized, targeted, and executable.

[0029] A two-way data channel is pre-built between the emergency response end and the accident profile. Kafka distributed message queues can be used to achieve high-concurrency, low-latency data transmission between the emergency response end and the accident profile module. Data interaction is carried out in a unified JSON standardized format, and a dual interface mode of RESTful API and WebSocket is used to support real-time data uploading from the response end and instant information push from the profile end. This ensures that the data transmission between the two modules is standardized, stable, and real-time, and realizes two-way data communication and linkage between the response process and the accident profile.

[0030] Based on the core trigger information identified above, a response plan that matches the type of emergency, trigger, and on-site condition is matched from the preset response strategy library. A current response strategy suitable for this emergency is generated and pushed to the emergency response terminal in real time through a two-way data channel for on-site personnel to execute.

[0031] Please refer to Figure 2 , Figure 2 This is a flowchart of an incremental modification method provided in one embodiment of the present invention; the incremental modification method includes: Step S20: Obtain real-time data from the site.

[0032] In step S20 above, four types of real-time data are collected and acquired through the on-site real-time acquisition terminal: the handling progress, resource consumption, on-site environment and handling effect. This provides raw data support for subsequent incremental data generation and in-process incremental modification of accident profiles.

[0033] Step S21: Clean, parse and structure the real-time data to generate incremental data that can be used to modify the accident profile.

[0034] In step S21 above, the acquired real-time on-site data is sequentially cleaned, parsed, and structured to remove duplicate, invalid, and abnormal data content, and to convert unstructured on-site information into standardized and structured incremental data that can be identified and directly used to modify the accident profile.

[0035] Step S22: Add incremental data to the fields of the accident profile in real time according to preset dimensions.

[0036] In step S22 above, the generated incremental data is added to the fields corresponding to the current accident profile in real time and accurately according to the preset accident basic dimension, cause dimension, handling dimension, on-site dynamic dimension and effect dimension, so as to continuously improve the accident profile content in a time-series manner and realize the in-process incremental modification of the accident profile.

[0037] Please refer to Figure 3 , Figure 3 A flowchart of a disposal strategy optimization method provided by an embodiment of the present invention; the disposal strategy optimization method includes: Step S30: Retrieve the best handling experience for similar accidents from historical handling experience data.

[0038] In step S30 above, historical similar accidents are matched based on the updated accident profile after incremental modification during the event. Using the feature information of the updated accident profile as the retrieval basis, a precise search and comparison is performed on the pre-stored historical handling experience data to screen out historical accidents that are highly similar to the current emergency in terms of accident type, core causes, on-site scene, scope of impact, and spatiotemporal conditions. The optimal handling experience with standardized handling procedures, reasonable resource allocation, and excellent handling effect is extracted from the successfully matched historical similar accidents. This provides a reliable reference that has been verified by practice for the optimization of the current handling strategy, and improves the scientificity and applicability of the handling strategy.

[0039] Step S31: Optimize the current handling strategy based on the best handling experience.

[0040] In step S31 above, the retrieved optimal handling experience is integrated, corrected and improved with the current handling strategy generated based on the core cause information. The optimal handling experience includes handling procedures, resource allocation methods, on-site control points and guidance rules. The shortcomings of the current handling strategy are supplemented and optimized, so that the optimized handling strategy is more in line with the actual situation on site and more in line with historical successful handling experience, and has stronger pertinence and feasibility.

[0041] Please refer to Figure 4 , Figure 4 A flowchart of a treatment experience retrieval method provided for embodiments of the present invention; the treatment experience retrieval method includes: Step S40: Extract features from the updated accident profile to generate the corresponding accident profile vector.

[0042] In step S40 above, based on the updated accident profile after incremental modification during the event, key feature information such as basic accident information, core causes, on-site conditions, and scope of impact are extracted and vectorized, and the unstructured profile information is converted into a standardized accident profile vector that can be used for similarity calculation.

[0043] Step S41: Based on the accident profile vector, perform a nearest neighbor search in combination with preset spatiotemporal constraints to match similar historical accidents.

[0044] In step S41 above, the generated accident profile vector is used as the matching basis, and a nearest neighbor search is performed on the historical handling experience database in combination with the system's preset spatiotemporal constraints. The preset spatiotemporal constraints can be pre-set time and space filtering rules to limit the search scope and improve the accuracy of matching similar accidents. For example, spatial constraints of only searching for the same route and the same station type, or time constraints of only searching for the same peak operating period and the same workday type. Based on the accident profile vector, a nearest neighbor search and vector similarity calculation are performed on the historical handling experience database within the above spatiotemporal constraints to obtain historical similar accidents that highly match the current emergency.

[0045] Step S42: Extract historical handling experience from the matched historical similar accidents to obtain the optimal handling experience.

[0046] In step S42 above, the handling experience corresponding to the matched historical similar accidents is sorted out, evaluated and screened, and the handling experience with standardized handling process, reasonable resource allocation, excellent handling effect and strong scenario adaptability is selected as the optimal handling experience.

[0047] Please refer to Figure 5 , Figure 5 A flowchart illustrating a resource scheduling instruction generation method provided in an embodiment of the present invention; the resource scheduling instruction generation method includes: Step S50: Determine the accident location, scope of impact, and resource requirements based on the updated accident profile.

[0048] In step S50 above, based on the updated accident profile after incremental modification during the event, relevant information on the basic accident dimension and the dynamic dimension of the scene is extracted and analyzed to accurately determine the location of the current emergency, the affected lines and areas, and, in combination with the scene status, passenger flow and the intensity of the response, further determine the type, quantity and configuration of resources required for this response, clarify the resource needs of this emergency, and provide accurate basic information for the generation of subsequent resource scheduling instructions.

[0049] Step S51: Generate resource scheduling instructions based on the target handling strategy, accident location, impact range, and resource requirements.

[0050] In step S51 above, based on the optimized target disposal strategy and combined with the determined accident location, scope of impact and resource needs, emergency resources can be planned and allocated in a coordinated manner according to the principles of proximity, type matching and precise quantity. Standardized resource dispatch instructions are generated, which include dispatch objects, dispatch quantities, destinations, tasks to be performed and coordination requirements, to ensure that resources can be delivered to the disposal site quickly and accurately.

[0051] Step S52: Send the target handling strategy and resource scheduling instructions to the emergency handling terminal.

[0052] In step S52 above, the target handling strategy and resource scheduling instructions are pushed to the emergency handling terminal simultaneously through a pre-built bidirectional data channel using a low-latency and highly stable transmission method. This enables on-site personnel to obtain the handling plan and scheduling information simultaneously, achieving synergy between strategy guidance and resource execution, and improving on-site handling efficiency.

[0053] Please refer to Figure 6 , Figure 6 A flowchart of a dynamic risk level determination method provided for embodiments of the present invention; the dynamic risk level determination method includes: Step S60: Based on the updated accident profile modified incrementally during the event, reassess the risk level of the current emergency.

[0054] In step S60 above, the updated accident profile is based on more complete and accurate information after real-time incremental modification. It integrates dynamic information such as accident location, scope of impact, on-site passenger flow, handling progress, resource consumption and on-site environment, and reassesses and judges the actual danger, possibility of spread and severity of impact of the current emergency according to the preset risk level judgment criteria. This enables the risk level to truly reflect the real-time status of the site, replace the initial static judgment result, and realize the dynamic and accurate updating of the risk level.

[0055] Step S61: Send the reassessed risk level to the emergency response terminal to update the basis for on-site response and resource allocation.

[0056] In step S61 above, the latest risk level obtained from the reassessment is sent to the emergency response terminal in real time and stably through the established two-way data channel, so that the on-site response personnel and the dispatch backend can obtain the latest risk level information synchronously. This allows for dynamic adjustment of the on-site response intensity, resource allocation quantity, and on-site control measures, updating the core basis for on-site response and resource scheduling, and ensuring that the response decision matches the risk level.

[0057] Please refer to Figure 7 , Figure 7 A flowchart of a disposal process evaluation generation method provided for embodiments of the present invention; the disposal process evaluation generation method includes: Step S70: Record data transmission related indicators, the number of fields added to the full-dimensional updated accident profile, the matching status between the target handling strategy and the actual execution content, and the time taken for the entire handling process.

[0058] In step S70 above, key operational data and business execution data throughout the entire emergency response process are automatically collected and stored. Among them, data transmission-related indicators are used to reflect the transmission efficiency and stability of the two-way data channel, the number of supplemented fields is used to reflect the completeness of the accident profile, the matching of the target response strategy with the actual execution content is used to reflect the implementation effect of the response decision, and the time taken for the entire response process is used to measure the overall emergency response efficiency. By comprehensively recording the above information, a complete and objective data foundation is provided for subsequent quantitative evaluation.

[0059] Step S71: The ratio of the number of fields that have been filled to the total number of fields in the updated accident profile is determined as the accident profile completeness.

[0060] In step S71 above, the total number of fields in the updated accident profile is used as a benchmark. The ratio of the actual number of filled and supplemented valid fields is calculated to determine the completeness of the accident profile in the form of a quantitative value.

[0061] Step S72: Based on the recorded information and the completeness of the accident profile, generate evaluation information for the emergency response process.

[0062] In step S72 above, based on the recorded data transmission related indicators, strategy matching status, time consumption of the entire handling process, and the calculated completeness of the accident profile, a multi-dimensional comprehensive analysis is conducted to generate emergency handling process evaluation information that includes transmission efficiency, profile completeness, decision execution effect, and overall handling efficiency. This information can be used for the summary of this handling and subsequent mechanism iteration and optimization.

[0063] Please refer to Figure 8 , Figure 8 This is a schematic diagram of an emergency response system based on accident profiles provided in an embodiment of the present invention. The emergency response system 8 based on accident profiles includes: a real-time profile update module 10, a core trigger identification module 20, and a strategy generation and push module 30. The real-time profile update module 10, upon detecting an emergency, incrementally modifies the current accident profile of the emergency based on real-time data during the emergency response process to form an updated accident profile, and acquires trigger data and historical response experience data for the updated accident profile. The core trigger identification module 20 identifies and determines the core trigger information of the emergency from the trigger data based on the updated accident profile. The strategy generation and push module 30 generates a current response strategy based on the core trigger information and pushes it to the emergency response terminal.

[0064] Based on the same inventive concept, the present invention also provides an electronic device, which includes a memory and a processor. The memory stores program instructions, and when the processor reads and runs the program instructions, it executes the steps in any of the above implementation methods.

[0065] The above description is merely an embodiment of the present invention and is not intended to limit the scope of protection of the present invention. For those skilled in the art, the present invention can have various modifications and variations. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. An emergency response method based on accident profiling, characterized in that, The method includes: In the event of an emergency, the current accident profile of the emergency is incrementally modified in real time based on the real-time data during the emergency handling process to form an updated accident profile, and the cause data and historical handling experience data of the updated accident profile are obtained. Based on the updated accident profile, the core triggering information of the sudden event is identified and determined from the triggering data; The current handling strategy is generated based on the core cause information; the current handling strategy is then pushed to the emergency response terminal.

2. The method according to claim 1, characterized in that, The step of incrementally modifying the current accident profile of the emergency based on real-time data during the emergency response process includes: Acquire real-time data from the site; the real-time data includes the disposal progress, resource consumption, site environment, and disposal effect. The real-time data is cleaned, parsed, and structured to generate incremental data that can be used to modify the accident profile; The incremental data is added to the fields of the accident profile in real time according to preset dimensions; the preset dimensions include basic accident dimensions, cause dimensions, handling dimensions, on-site dynamic dimensions, and effect dimensions.

3. The method according to claim 1, characterized in that, Before pushing the current handling strategy to the emergency response terminal, the following steps are also included: The optimal handling experience for similar accidents is retrieved from historical handling experience data, and the current handling strategy is optimized based on the optimal handling experience.

4. The method according to claim 3, characterized in that, The process of retrieving optimal handling experience for similar accidents from historical handling experience data includes: Feature extraction is performed on the updated accident profile to generate a corresponding accident profile vector; Based on the accident profile vector, a nearest neighbor search is performed in combination with preset spatiotemporal constraints to match similar historical accidents. Extract historical handling experience from matched similar historical incidents to obtain optimal handling experience.

5. The method according to claim 3, characterized in that, The method further includes: The location, scope of impact, and resource requirements of the accident are determined based on the updated accident profile. Based on the target handling strategy, accident location, scope of impact, and resource requirements, a resource scheduling instruction is generated. The target handling strategy and resource scheduling instructions are sent to the emergency response terminal.

6. The method according to claim 5, characterized in that, The method further includes: Based on the updated accident profile modified during the event, the risk level of the current emergency is reassessed. The reassessed risk level will be sent to the emergency response center to update the basis for on-site response and resource allocation.

7. The method according to claim 1, characterized in that, Before performing the aforementioned listening, the following is also included: A two-way data channel is constructed between the emergency response terminal and the accident profile; a distributed message queue is used for data transmission between the emergency response terminal and the accident profile, and a dual-interface mode is used to support two-way interaction between the emergency response terminal and the accident profile.

8. The method according to claim 7, characterized in that, The method further includes: Record data transmission related indicators, the number of fields added to the full-dimensional updated accident profile, the matching status between the target handling strategy and the actual execution content, and the time taken for the entire handling process; The ratio of the number of fields that have been filled to the total number of fields in the updated accident profile is determined as the completeness of the accident profile. Based on the recorded information and the completeness of the accident profile, evaluation information for the emergency response process is generated.

9. An emergency response system based on accident profiling, characterized in that, The system includes: The real-time profile update module is used to incrementally modify the current accident profile of an emergency based on real-time data during the emergency response process when an emergency is detected, so as to form an updated accident profile and obtain the cause data and historical response experience data of the updated accident profile. The core trigger identification module is used to identify and determine the core trigger information of the sudden event from the trigger data based on the updated accident profile; The strategy generation and push module is used to generate the current handling strategy based on the core trigger information and push it to the emergency response terminal.

10. An electronic device, characterized in that, The electronic device includes a memory and a processor, the memory storing program instructions, and the processor executing the steps of the method according to any one of claims 1-8 when running the program instructions.

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