First-aid information processing method and system based on multi-source data fusion

Abstract

The invention provides a first-aid information processing method and system based on multi-source data fusion. The method comprises the following steps of: performing deep association matching and modeling on an emergency event by utilizing a multi-source heterogeneous data stream, a geographic position, a timestamp and environmental perception data which are acquired in real time to obtain a dynamic emergency event situation model; according to the dynamic first-aid event situation model, a resource optimization algorithm is adopted to evaluate and select the most suitable first-aid resource, and a first-aid resource configuration scheme and instant guidance information are obtained; updating the state of the patient based on the first-aid resource allocation scheme and the instant guidance information, and obtaining a dynamically adjusted first-aid process and an optimized path scheme through geographic information system path planning analysis, first-aid strategy adjustment and resource allocation path optimization; and integrating various feedback data related to the dynamically adjusted emergency process and the optimized path scheme, carrying out post analysis, and generating an optimized guide. According to the technical scheme provided by the invention, the first-aid information processing efficiency is greatly improved.

Description

Technical Field

[0001] The embodiments of the present application relate to the technical field of multi-source data fusion, and in particular, to a multi-source data fusion emergency information processing method and system. Background Art

[0002] In modern emergency systems, facing complex and ever-changing emergency scenarios, a technology that can process and analyze multi-source heterogeneous data streams, geographic location information, timestamps, and environmental perception data in real time is needed. Through deep correlation matching and modeling, a dynamic emergency event scenario model is formed to more accurately predict and respond to emergency events. In addition, the technology must also have the ability to dynamically adjust emergency strategies and optimize resource allocation paths according to on-site conditions to ensure efficient use of emergency resources, and be able to perform path planning analysis through a geographic information system (GIS) to improve rescue efficiency.

[0003] Most current emergency response systems rely on static or semi-static data sources, such as preset emergency site locations, fixed traffic routes, etc., and have limited capabilities for integrating and analyzing multi-source heterogeneous data in real time. Some systems have begun to introduce situational awareness technologies and preliminary resource optimization algorithms, but these methods generally lack comprehensive consideration of dynamic changes, especially when evaluating and selecting the most appropriate emergency response resources. They fail to fully combine real-time data streams and environmental perception information, resulting in inaccurate and in-time decision-making.

[0004] The defects of the existing emergency rescue system are mainly reflected in three aspects: first, due to the lack of real-time processing capabilities for multi-source heterogeneous data, it is unable to effectively support the construction of dynamic emergency rescue event scenario models; second, when selecting emergency rescue resources, it fails to make full use of real-time data analysis and situational awareness technology, resulting in less than optimal resource allocation; finally, insufficient adaptive response processing for patient status updates and resource usage affects the dynamic adjustment of emergency rescue strategies and the optimization of resource allocation paths, making it difficult to extract effective improvement experience from post-analysis, thereby limiting the improvement of readiness and response speed for similar incidents in the future. Summary of the invention

[0005] The embodiments of the present application provide a multi-source data fusion emergency information processing method and system to solve the deficiencies in the existing technology in terms of real-time data analysis and resource optimization of information processing.

[0006] In a first aspect, an embodiment of the present application provides a multi-source data fusion emergency information processing method, comprising:

[0007] Using real-time multi-source heterogeneous data streams, geographic locations, timestamps, and environmental perception data, we can deeply correlate and match emergency events and model them to obtain a dynamic emergency event situation model.

[0008] According to the dynamic emergency incident scenario model, a resource optimization algorithm is used to evaluate and select the most appropriate emergency resources, and the behavior patterns of on-site personnel and environmental changes are analyzed through situational awareness technology to obtain an optimized emergency resource allocation plan and instant guidance information;

[0009] Based on the optimized emergency resource allocation plan and instant guidance information, the patient status is updated, and the use of emergency resources is adaptively responded to, and through geographic information system path planning analysis, the emergency strategy is adjusted and the resource allocation path is optimized to obtain a dynamically adjusted emergency process and optimized path plan;

[0010] Integrate various feedback data related to the dynamically adjusted emergency procedures and optimized path plans, conduct post-analysis, and generate optimization guidelines, wherein the optimization guidelines are used to improve the readiness and response speed for handling similar incidents in the future.

[0011] Optionally, according to the dynamic emergency incident scenario model, a resource optimization algorithm is used to evaluate and select the most appropriate emergency resources, and the behavior patterns and environmental changes of on-site personnel are analyzed through situational awareness technology to obtain an optimized emergency resource allocation plan and instant guidance information, including:

[0012] Utilizing the dynamic emergency incident scenario model, optimizing resources of multi-source heterogeneous data, evaluating and selecting the most appropriate emergency resources, and obtaining the optimal dispatching plan;

[0013] According to the optimal dispatching plan, the behavior patterns of on-site personnel and environmental changes are analyzed in real time through situational awareness technology to generate personalized first aid guidance content;

[0014] Based on the personalized first aid guidance content, configure the information push mechanism of the multi-channel communication technology to generate an information push mechanism configuration result;

[0015] The configuration results of the information push mechanism are used to monitor and adjust the emergency response process in real time to obtain an optimized emergency resource configuration plan and instant guidance information.

[0016] Optionally, according to the optimal dispatching scheme, the behavior patterns of on-site personnel and environmental changes are analyzed and processed in real time through situational awareness technology to generate personalized first aid guidance content, including:

[0017] According to the optimal scheduling scheme, the behavior patterns of on-site personnel and environmental changes are analyzed and processed in real time using situational awareness technology to obtain behavior pattern analysis results and environmental change assessment information;

[0018] Based on the behavior pattern analysis results and the environmental change assessment information, combined with the first aid knowledge base and the expert system, the personalized first aid guidance content is generated and processed to obtain preliminary personalized first aid guidance content;

[0019] Utilizing the preliminary personalized first aid guidance content, the language expression of the guidance content is optimized through a natural language processing algorithm to ensure that the guidance information is clear, accurate and easy to understand, thereby generating personalized first aid guidance content.

[0020] Optionally, configuring the information push mechanism of the multi-channel communication technology based on the personalized first aid guidance content to generate the information push mechanism configuration result includes:

[0021] Based on the optimized personalized first aid guidance content, the information push mechanism is preliminarily configured using multi-channel communication technology to obtain an initial information push mechanism configuration plan;

[0022] According to the initial information push mechanism configuration scheme, combined with the compatibility of the on-site equipment and the characteristics of the network environment, adaptive adjustments are made to generate detailed information push paths and priority settings;

[0023] Using the refined information push path and priority setting, simulate and evaluate the push effect to obtain the test evaluation result;

[0024] Based on the test evaluation results, the information push mechanism is optimized and the information push mechanism configuration results are generated.

[0025] Optionally, based on the optimized emergency resource configuration scheme and instant guidance information, the patient status is updated, and the use of emergency resources is adaptively responded to, and the emergency strategy and resource configuration path are adjusted through geographic information system path planning analysis to obtain a dynamically adjusted emergency process and optimized path scheme, including:

[0026] Based on the optimized emergency resource allocation plan and instant guidance information, the patient status is updated, and the use of emergency resources is adaptively responded to, to obtain patient status assessment results and resource use analysis reports;

[0027] Based on the patient status assessment results and resource usage analysis report, combined with the geographic information system, a path planning analysis is performed on the existing emergency strategy to generate a preliminary adjusted emergency strategy and path planning plan;

[0028] Using the preliminarily adjusted emergency strategy and path planning scheme, dynamically adjust the emergency process to generate a dynamically adjusted emergency process;

[0029] Based on the dynamically adjusted emergency treatment process, the resource allocation path is optimized to obtain an optimized path solution.

[0030] Optionally, the present emergency strategy is analyzed for path planning based on the patient status assessment result and the resource usage analysis report in combination with a geographic information system to generate a preliminary adjusted emergency strategy and path planning solution, including:

[0031] Based on the patient status assessment results and resource usage analysis report, a geographic information system is used to perform a path planning analysis on the existing emergency strategies to obtain preliminary path planning options;

[0032] Based on the preliminary path planning options, combined with the patient's current health status and the real-time availability of resources, an adjusted emergency strategy draft is generated;

[0033] Using the adjusted emergency strategy draft, simulate and evaluate different route plans to obtain route optimization suggestions;

[0034] According to the path optimization suggestion, the first aid strategy is adjusted to generate a preliminary adjusted first aid strategy and path planning plan.

[0035] Optionally, the integration of various feedback data related to the dynamically adjusted emergency procedure and the optimized path plan, performing post-analysis, and generating an optimization guide includes:

[0036] Integrate various feedback data related to the dynamically adjusted emergency procedures and optimized path plans, collect and organize them in a systematic manner, and obtain a standardized feedback data set;

[0037] Based on the standardized feedback data set, use data analysis technology to conduct in-depth analysis of key decision points, operational efficiency and resource usage in emergency incidents, identify lessons learned from improving emergency procedures, and generate a preliminary experience summary report;

[0038] Based on the preliminary experience summary report, conduct a comprehensive assessment of the lessons learned and obtain a draft optimization recommendation;

[0039] Establish a continuous optimization mechanism for the draft optimization proposal, formulate specific improvement measures and implementation plans, and generate optimization guidelines.

[0040] In a second aspect, an embodiment of the present application provides an emergency information processing system for multi-source data fusion, including:

[0041] The matching module is used to use the real-time acquired multi-source heterogeneous data streams, geographic locations, timestamps, and environmental perception data to perform deep correlation matching and modeling of emergency events to obtain a dynamic emergency event situation model;

[0042] A push module is used to evaluate and select the most appropriate emergency resources based on the dynamic emergency event scenario model using a resource optimization algorithm, analyze the behavior patterns of on-site personnel and environmental changes through situational awareness technology, and obtain an optimized emergency resource allocation plan and instant guidance information;

[0043] An analysis module is used to update the patient status based on the optimized emergency resource allocation plan and instant guidance information, and to perform adaptive response processing on the use of emergency resources, and to adjust the emergency strategy and optimize the resource allocation path through geographic information system path planning analysis to obtain a dynamically adjusted emergency process and optimized path plan;

[0044] The integration module is used to integrate various feedback data related to the dynamically adjusted emergency process and the optimized path plan, conduct post-analysis, and generate an optimization guide, wherein the optimization guide is used to improve the readiness and response speed for handling similar incidents in the future.

[0045] In a third aspect, an embodiment of the present application provides a computing device, characterized in that it includes a processing component and a storage component; the storage component stores one or more computer instructions; the one or more computer instructions are used to be called and executed by the processing component to implement a multi-source data fusion emergency information processing method as described in the first aspect.

[0046] In a fourth aspect, an embodiment of the present application provides a computer storage medium, characterized in that a computer program is stored therein, and when the computer program is executed by a computer, a multi-source data fusion emergency information processing method as described in the first aspect is implemented.

[0047] In an embodiment of the present application, a multi-source heterogeneous data stream, geographic location, timestamp, and environmental perception data acquired in real time are used to perform deep correlation matching and modeling of emergency events to obtain a dynamic emergency event scenario model; based on the dynamic emergency event scenario model, a resource optimization algorithm is used to evaluate and select the most suitable emergency resources, and the behavior patterns and environmental changes of on-site personnel are analyzed through situational awareness technology to obtain an optimized emergency resource allocation plan and immediate guidance information; based on the optimized emergency resource allocation plan and immediate guidance information, the patient status is updated, and the use of emergency resources is adaptively responded to, and through geographic information system path planning analysis, the emergency strategy is adjusted and the resource allocation path is optimized to obtain a dynamically adjusted emergency process and an optimized path plan; various feedback data related to the dynamically adjusted emergency process and the optimized path plan are integrated, and post-analysis is performed to generate an optimization guide, wherein the optimization guide is used to improve the readiness and response speed for handling similar events in the future.

[0048] The technical solution of this application has the following beneficial effects:

[0049] By acquiring multi-source heterogeneous data streams, geographic locations, timestamps, and environmental perception data in real time, the emergency events are deeply correlated and matched and modeled to obtain a dynamic emergency event scenario model. This method can not only comprehensively and accurately reflect the actual situation of emergency events, but also predict and respond to complex and changeable on-site environments, significantly improving the scientificity and timeliness of emergency decision-making; based on the dynamic emergency event scenario model, a resource optimization algorithm is used to evaluate and select the most suitable emergency resources, and the behavioral patterns and environmental changes of on-site personnel are analyzed through situational awareness technology to generate optimized emergency resource allocation plans and instant guidance information. This overcomes the problems of inflexible resource allocation and lack of targeted guidance information in existing solutions, ensures efficient use and precise scheduling of emergency resources, and greatly improves the speed and efficiency of emergency response; by updating the patient status in real time and adaptively responding to the use of emergency resources, combined with geographic information system (GIS) path planning analysis, dynamically adjust the emergency strategy and optimize the resource allocation path, and finally obtain a dynamically adjusted emergency process and optimized path plan. This process achieves refined management of the emergency process and optimization of path planning, significantly improving the flexibility and accuracy of emergency treatment, and ensuring efficient response capabilities in complex emergency scenarios; integrating various feedback data related to the dynamically adjusted emergency process and optimized path plan, conducting post-analysis, and generating optimization guidelines to improve the readiness and response speed of similar incidents in the future. This not only helps to summarize experience and lessons and continuously improve the emergency system, but also provides a valuable reference for future emergency work, thereby effectively improving the overall quality of emergency services and the survival rate of patients.

[0050] Furthermore, by utilizing a dynamic emergency event scenario model to optimize resources for multi-source heterogeneous data, evaluate and select the most appropriate emergency resources, and combine situational awareness technology to analyze the behavior patterns and environmental changes of on-site personnel in real time, the present invention can generate personalized emergency guidance content, and by configuring the information push mechanism of multi-channel communication technology, it realizes real-time monitoring and adjustment of the emergency response process. This series of measures not only ensures the optimization of the emergency resource allocation plan and the accuracy of instant guidance information, but also significantly improves the speed and efficiency of emergency response, overcomes the problems of inflexible resource allocation, lack of pertinence of guidance information, and delayed response process adjustment in existing solutions, thereby greatly improving the accuracy and timeliness of emergency treatment, enhancing the ability to respond to emergencies, and ultimately improving the patient's survival rate and the overall quality of emergency services.

[0051] Furthermore, by updating the patient status in real time based on the optimized emergency resource allocation scheme and instant guidance information, and performing adaptive response processing on the use of emergency resources, the present invention can generate detailed patient status assessment results and resource use analysis reports. Combined with the geographic information system (GIS), the path planning analysis is carried out to further adjust the existing emergency strategy, and generate the first aid strategy and path planning scheme after preliminary adjustment. On this basis, the emergency process is dynamically adjusted and the resource allocation path is optimized, and finally the dynamically adjusted emergency process and optimized path scheme are obtained. This series of measures not only ensures the scientificity and rationality of the emergency strategy and path planning, but also significantly improves the flexibility and efficiency of the emergency response, and overcomes the problems of delayed patient status update, untimely response to resource usage, and insufficient optimization of path planning in the existing scheme. By continuously improving the emergency process and resource allocation path, the present invention greatly improves the accuracy and timeliness of emergency treatment, enhances the ability to cope with complex emergency scenarios, and effectively improves the survival rate of patients and the overall quality of emergency services.

[0052] These and other aspects of the present application will become more clearly understood in the description of the following embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0054] Figure 1 A flowchart of a multi-source data fusion emergency information processing method provided in an embodiment of the present application;

[0055] Figure 2 A schematic diagram of the structure of a multi-source data fusion emergency information processing system provided in an embodiment of the present application;

[0056] Figure 3 A schematic diagram of the structure of a computing device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0057] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.

[0058] In some of the processes described in the specification and claims of this application and the above-mentioned figures, multiple operations that appear in a specific order are included, but it should be clearly understood that these operations may not be executed in the order in which they appear in this article or executed in parallel. The serial numbers of the operations, such as 101, 102, etc., are only used to distinguish between different operations, and the serial numbers themselves do not represent any execution order. In addition, these processes may include more or fewer operations, and these operations may be executed in sequence or in parallel. It should be noted that the descriptions of "first", "second", etc. in this article are used to distinguish different messages, devices, modules, etc., do not represent the order of precedence, and do not limit the "first" and "second" to be different types.

[0059] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of this application.

[0060] Figure 1 A flowchart of a multi-source data fusion emergency information processing method is provided for an embodiment of the present application, such as Figure 1 As shown, the method includes:

[0061] 101. Using real-time multi-source heterogeneous data streams, geographic locations, timestamps, and environmental perception data, deep correlation matching and modeling of emergency events are performed to obtain a dynamic emergency event situation model;

[0062] In this step, the real-time multi-source heterogeneous data streams, geographic locations, timestamps, and environmental perception data are used to deeply correlate and match the emergency events and model them to obtain a dynamic emergency event scenario model. Multi-source heterogeneous data includes data from different sensors, medical equipment, transportation systems, etc., which are used to fully understand the background and progress of the emergency events; geographic location and timestamps ensure the temporal and spatial accuracy of the data; environmental perception data such as temperature, humidity, air quality, etc. provide detailed information on the on-site environment.

[0063] In the embodiment of the present application, by integrating the above-mentioned data, a situation model that can reflect the dynamic changes of emergency events in real time is constructed, providing a solid foundation for subsequent resource optimization and decision-making. This process involves multiple links such as data collection, cleaning, correlation analysis and modeling, ensuring that the generated situation model can accurately describe the actual situation of emergency events and support subsequent intelligent processing.

[0064] Suppose a traffic accident occurs in a city. The system collects multi-source data such as video surveillance data from the accident scene, the status of medical equipment in nearby hospitals, traffic flow information, and weather conditions in real time, and performs deep correlation matching based on geographic location and timestamp. It finally forms a dynamic emergency incident scenario model that accurately reflects the specific circumstances of the accident and its scope of impact.

[0065] 102. Based on the dynamic emergency incident scenario model, a resource optimization algorithm is used to evaluate and select the most appropriate emergency resources, and the behavior patterns and environmental changes of on-site personnel are analyzed through situational awareness technology to obtain an optimized emergency resource allocation plan and instant guidance information;

[0066] In this step, based on the dynamic emergency event scenario model, the resource optimization algorithm is used to evaluate and select the most appropriate emergency resources, and the behavioral patterns of on-site personnel and environmental changes are analyzed through situational awareness technology to obtain optimized emergency resource allocation plans and immediate guidance information. The resource optimization algorithm comprehensively considers factors such as the location, availability, and urgency of resources, while situational awareness technology identifies key behaviors and environmental changes by analyzing on-site images, audio, and other data.

[0067] In the embodiment of the present application, based on the constructed dynamic emergency event scenario model, the resource optimization algorithm is applied to select the emergency resources that are most suitable for the current situation, and the situational awareness technology is used to analyze the on-site conditions to provide instant guidance information for emergency personnel. This step ensures the efficiency of resource allocation and the pertinence of guidance information, and improves the speed and effect of emergency response.

[0068] Assuming that in the aforementioned traffic accident scenario, the system selects the nearest hospital with the required medical equipment based on the dynamic emergency event scenario model, and discovers through analysis of the on-site video that there are seriously injured people who need immediate treatment. It then automatically generates instant guidance information containing specific rescue routes and operating instructions and sends it to the emergency team.

[0069] 103. Based on the optimized emergency resource allocation plan and instant guidance information, the patient status is updated, and the use of emergency resources is adaptively responded to, and the emergency strategy and resource allocation path are adjusted through geographic information system path planning analysis to obtain a dynamically adjusted emergency process and optimized path plan;

[0070] In this step, based on the optimized emergency resource allocation plan and instant guidance information, the patient status is updated, and the use of emergency resources is adaptively responded to. Through the geographic information system path planning analysis, the emergency strategy is adjusted and the resource allocation path is optimized to obtain the dynamically adjusted emergency process and optimized path plan. Patient status updates include vital sign monitoring, disease progression assessment, etc.; resource usage involves the frequency, duration and effect feedback of resource use.

[0071] In the embodiment of the present application, the patient's health status and resource usage are monitored in real time based on the instant guidance information, and the emergency strategy and resource allocation path are dynamically adjusted to ensure that each step of action can maximize the rescue efficiency. Geographic Information System (GIS) path planning analysis plays an important role in this process, helping to determine the optimal rescue route and resource scheduling plan.

[0072] Suppose that during the rescue process, the system continuously monitors the vital signs of the injured and finds that one of the injured has difficulty breathing. It then adjusts the first aid strategy, arranges the ambulance to reroute to the nearest professional emergency center, and replans the route to avoid traffic congestion, ensuring that the injured can receive professional treatment as soon as possible.

[0073] 104. Integrate various feedback data related to the dynamically adjusted emergency process and the optimized path plan, conduct post-analysis, and generate an optimization guide, wherein the optimization guide is used to improve the readiness and response speed for handling similar incidents in the future.

[0074] In this step, various feedback data related to the dynamically adjusted emergency process and the optimized path plan are integrated, and a post-analysis is conducted to generate an optimization guide, which is used to improve the readiness and response speed for handling similar events in the future. The feedback data includes various records of the emergency process, patient recovery status, resource utilization evaluation, etc., which are used to summarize experience and lessons and improve emergency processes and resource allocation.

[0075] In the embodiments of the present application, valuable information is extracted and optimized guidelines are formed through post-analysis of each emergency incident, aiming to improve the handling readiness and response speed of similar incidents in the future. These guidelines not only provide a basis for the continuous improvement of the emergency system, but also provide valuable reference materials for training emergency personnel.

[0076] Assume that after the rescue of the aforementioned traffic accident is completed, the system collects all relevant data for analysis and finds that the utilization rate of certain emergency equipment is low, while the efficiency of handling certain types of injuries is high. Based on this feedback, the system generates a detailed optimization guide, recommending strengthening the configuration of specific emergency equipment and developing more efficient handling processes for high-incidence injuries, thereby improving the ability to respond to similar incidents in the future.

[0077] In summary, steps 101 to 104 cover the complete emergency information processing flow from multi-source data fusion, dynamic modeling, resource optimization, situational awareness to path planning and post-analysis, aiming to provide a comprehensive, accurate and efficient emergency solution to meet the needs of rapid response and scientific decision-making in complex emergency scenarios. Through this series of steps, not only the optimal configuration and efficient utilization of emergency resources are achieved, but also valuable experience and improvement directions are provided for future emergency work, significantly improving the quality and efficiency of emergency services.

[0078] In order to solve the problem of inaccurate resource selection and lack of personalization of guidance information, in some embodiments, the resource optimization algorithm is used to evaluate and select the most suitable emergency resources according to the dynamic emergency event scenario model in step 102, and the behavior patterns and environmental changes of on-site personnel are analyzed by situational awareness technology to obtain an optimized emergency resource configuration plan and instant guidance information, including:

[0079] The dynamic emergency incident scenario model is used to optimize the resources of multi-source heterogeneous data, evaluate and select the most suitable emergency resources, and obtain the optimal scheduling plan; according to the optimal scheduling plan, the behavior patterns and environmental changes of on-site personnel are analyzed in real time through situational awareness technology to generate personalized emergency guidance content; based on the personalized emergency guidance content, the information push mechanism of the multi-channel communication technology is configured to generate the information push mechanism configuration result; using the information push mechanism configuration result, the emergency response process is monitored and adjusted in real time to obtain an optimized emergency resource configuration plan and instant guidance information.

[0080] In this step, a dynamic emergency event scenario model is used to integrate data from different sources (such as sensor data, medical records, traffic information, etc.) to comprehensively evaluate and select the most suitable emergency resources; situational awareness technology identifies key behavioral patterns and environmental changes through analysis of on-site video, audio and other sensor data to generate personalized emergency guidance content; multi-channel communication technology supports multiple communication methods (such as SMS, voice, mobile applications, etc.) to ensure that information can be pushed to relevant personnel in a timely manner; the information push mechanism configuration results are used to optimize the emergency response process to ensure that each link can operate efficiently.

[0081] In the embodiments of the present application, firstly, a dynamic emergency event scenario model is used to integrate multi-source heterogeneous data, evaluate and select the most appropriate emergency resources, and form an optimal scheduling plan; secondly, the behavior patterns and environmental changes of on-site personnel are analyzed in real time through situational awareness technology to generate personalized emergency guidance content; thirdly, based on these personalized guidance contents, an information push mechanism of multi-channel communication technology is configured to ensure that information can be quickly and accurately delivered to relevant personnel; finally, the configuration results of the information push mechanism are used to monitor and adjust the emergency response process in real time to ensure the efficiency and accuracy of the entire emergency process.

[0082] Here is a specific example:

[0083] Assuming that a large-scale public event suddenly occurs with multiple injuries, the system first uses a dynamic emergency event scenario model to integrate multi-source data such as camera video streams, medical equipment status, traffic flow information, and weather conditions at the event site, evaluates and selects the nearest hospital with the required medical equipment as the rescue point, and formulates the optimal dispatch plan; secondly, through the situational awareness technology, the on-site video is analyzed to find that the injured have difficulty breathing, and the system immediately generates personalized emergency guidance content including specific rescue routes and operation guidelines; thirdly, based on these personalized guidance contents, the system configures an information push mechanism of multi-channel communication technology to send guidance information to the emergency team and on-site staff through SMS and mobile applications; finally, using the configuration results of the information push mechanism, the system monitors and adjusts the emergency response process in real time, ensuring that the ambulance is diverted to the nearest professional emergency center and replans the route to avoid traffic congestion, so as to ensure that the injured can receive professional treatment as soon as possible. Through the above steps, the system not only improves the accuracy of resource allocation, but also realizes the personalized push of emergency guidance information, significantly improving the speed and effect of emergency response.

[0084] In order to solve the problem that the generated personalized first aid guidance content is not accurate and easy to understand, in some embodiments, according to the optimal scheduling plan, the behavior patterns of on-site personnel and environmental changes are analyzed and processed in real time through situational awareness technology to generate personalized first aid guidance content, including:

[0085] According to the optimal scheduling plan, the behavior patterns of on-site personnel and environmental changes are analyzed and processed in real time using situational awareness technology to obtain behavior pattern analysis results and environmental change assessment information; based on the behavior pattern analysis results and environmental change assessment information, combined with a first aid knowledge base and an expert system, personalized first aid guidance content is generated and processed to obtain preliminary personalized first aid guidance content; using the preliminary personalized first aid guidance content, the language expression of the guidance content is optimized through a natural language processing algorithm to ensure that the guidance information is clear, accurate and easy to understand, and to generate personalized first aid guidance content.

[0086] In this step, situational awareness technologies include video analysis, audio recognition and other means to monitor and analyze the behavior patterns of on-site personnel (such as the status of the injured, the actions of rescuers) and environmental changes (such as weather conditions, traffic conditions) in real time. These data are used to generate behavior pattern analysis results and environmental change assessment information; the first aid knowledge base and expert system contain a large number of first aid procedures and professional advice, which are used to generate preliminary personalized first aid guidance content; the natural language processing algorithm is responsible for optimizing the language expression of the guidance content to ensure that the personalized first aid guidance content generated in the end is not only accurate but also easy to understand and execute.

[0087] In the embodiments of the present application, firstly, according to the optimal scheduling plan, the behavior patterns and environmental changes of the on-site personnel are analyzed and processed in real time by using the situational awareness technology to obtain the behavior pattern analysis results and the environmental change assessment information; secondly, based on these analysis results, combined with the first aid knowledge base and the intelligent judgment of the expert system, preliminary personalized first aid guidance content is generated; thirdly, the preliminary guidance content is optimized by using the natural language processing algorithm to ensure that its language expression is clear, accurate and easy to understand; finally, the final personalized first aid guidance content is generated to support efficient first aid response.

[0088] Here is a specific example:

[0089] Suppose a natural disaster occurs in a remote mountainous area, resulting in multiple villagers being injured. The rescue team needs to arrive at the scene quickly and provide effective rescue. First, the system uses the video streams captured by cameras and drones and the data from ground sensors to analyze the behavior patterns of on-site personnel (such as whether the injured have difficulty moving) and environmental changes (such as whether the road is blocked) in real time, and obtains detailed behavior pattern analysis results and environmental change assessment information; secondly, based on these analysis results, combined with the standard operating procedures in the first aid knowledge base and the intelligent judgment of the expert system, the system generates preliminary personalized first aid guidance content, such as specific treatment measures for different types of injuries; thirdly, the natural language processing algorithm is used to optimize the preliminary guidance content, convert professional terms into easy-to-understand language, and ensure that each instruction is concise and clear; finally, the system generates the final personalized first aid guidance content and sends it to on-site rescue personnel through multi-channel communication technology to help them carry out rescue work quickly and effectively. Through the above steps, the system not only improves the accuracy of personalized first aid guidance content, but also ensures that the guidance information can be easily understood and executed by on-site personnel, significantly improving the efficiency and effectiveness of rescue.

[0090] In order to solve the problem that the configuration of the information push mechanism is not accurate enough and the adaptability is insufficient, in some embodiments, the information push mechanism of the multi-channel communication technology is configured based on the personalized first aid guidance content to generate the information push mechanism configuration result, including:

[0091] Based on the optimized personalized first aid guidance content, the information push mechanism is preliminarily configured using multi-channel communication technology to obtain an initial information push mechanism configuration plan; based on the initial information push mechanism configuration plan, combined with the compatibility of on-site equipment and network environment characteristics, adaptive adjustments are made to generate detailed information push paths and priority settings; using the detailed information push paths and priority settings, the push effect is simulated and evaluated to obtain test evaluation results; based on the test evaluation results, the information push mechanism is optimized to generate information push mechanism configuration results.

[0092] In this step, multi-channel communication technology includes SMS, voice, mobile applications and other communication methods to ensure that information can be delivered to relevant personnel through the most suitable channels; the initial information push mechanism configuration plan is based on the optimized personalized first aid guidance content to preliminarily determine how the information is distributed; adaptive adjustment takes into account the compatibility of on-site equipment and network environment characteristics to ensure that the information push mechanism can operate effectively in the actual environment; simulation testing and evaluation are used to verify the push effect to ensure that the information can be received and understood in a timely manner; finally, based on the test and evaluation results, the information push mechanism is optimized to ensure its efficiency and reliability.

[0093] In the embodiments of the present application, firstly, based on the optimized personalized first aid guidance content, the information push mechanism is preliminarily configured using multi-channel communication technology to form an initial information push mechanism configuration plan; secondly, according to the initial configuration plan, in combination with the compatibility of the on-site equipment and the characteristics of the network environment, adaptive adjustments are made to generate detailed information push paths and priority settings; thirdly, using these detailed paths and priority settings, the push effect is simulated and evaluated to obtain detailed test and evaluation results; finally, based on the test and evaluation results, the information push mechanism is further optimized, and finally the information push mechanism configuration results are generated to ensure its optimal performance in actual applications.

[0094] Here is a specific example:

[0095] Assuming that in a fire rescue scenario of a high-rise building in an urban area, the system firstly performs a preliminary configuration of the information push mechanism based on the optimized personalized first aid guidance content and using multi-channel communication technology (such as text messages, voice calls, and mobile application notifications), thus forming an initial information push mechanism configuration plan; secondly, based on this initial configuration plan, and in combination with the compatibility of on-site equipment (such as smart watches worn by firefighters and on-site cameras) and network environment characteristics (such as signal strength and data transmission speed), the system makes adaptive adjustments and generates detailed information push paths and priority settings, such as giving priority to notifying the nearest fire brigade via voice calls and sending text messages to all involved medical units; thirdly, using these detailed paths and priority settings, the system simulates and evaluates the push effect, and finds that the weak network signal in some areas leads to push delays, so the detailed test and evaluation results are recorded; finally, based on these test and evaluation results, the system further optimizes the information push mechanism, adds alternative push paths (such as via satellite communication), and adjusts the format of certain push content to ensure that the information can be quickly and accurately conveyed to every relevant person. Through the above steps, the system not only improves the adaptability and reliability of the information push mechanism, but also ensures that every rescuer can receive key first aid guidance information in a timely manner, significantly improving rescue efficiency and effectiveness.

[0096] This application takes into account that in order to solve the problems of inaccurate resource selection, slow response speed, and lack of real-time monitoring of on-site environment and personnel behavior patterns in the existing emergency resource scheduling system, the embodiment of the present invention proposes a method for optimizing resources of multi-source heterogeneous data using a dynamic emergency event scenario model. Through this method, the most appropriate emergency resources can be evaluated and selected more accurately, thereby obtaining the optimal scheduling plan. This method not only improves the efficiency and accuracy of emergency resource scheduling, but also enhances the ability to cope with complex emergency scenarios, and improves patient survival rate and service quality.

[0097] Optionally, the dynamic emergency incident scenario model is used to optimize resources of multi-source heterogeneous data, evaluate and select the most appropriate emergency resources, and obtain an optimal scheduling solution, including:

[0098] The dynamic emergency event scenario model integrates multi-source heterogeneous data, and uses situational awareness technology to monitor the on-site environment and personnel behavior patterns in real time; combines historical data to analyze the urgency of emergency needs, evaluates the availability of emergency resources, and estimates the expected time for each resource to arrive at the scene, so as to calculate the fitness score of each emergency resource; wherein, the fitness score of each emergency resource is calculated by the following formula:

[0099]

[0100] Among them, Sresource (i) represents the suitability score of the i-th emergency resource; D geo (i) is the distance between the i-th resource and the geographical location of the emergency incident; α, β, γ, λ are weight coefficients, reflecting the importance of geographical location, resource availability, urgency, and travel time in the scoring, respectively;

[0101] After calculating S resource (i) After that, the compatibility and priority of each emergency resource with the on-site equipment are evaluated, and the resource performance score based on historical feedback data is considered to generate a comprehensive dispatch score R for each emergency resource. optimal (i);

[0102]

[0103] Among them, R optimal (i) represents the comprehensive dispatch score of the i-th emergency resource; S resource (i) is the calculated fitness score of the i-th resource; C compatibility (i) is the compatibility of the i-th resource with the field device; P priority (i) is the priority score of the i-th resource; F feedback (i) is the resource performance score based on historical feedback data; δ, η, θ are adjustment coefficients used to control the impact of compatibility, priority, and feedback performance on the final score;

[0104] The optimal dispatching plan is obtained by sorting the comprehensive dispatching scores of multiple emergency resources and screening out the best emergency resources, and by formulating specific dispatching arrangements for the best emergency resources.

[0105] The formula aims to achieve the above objectives. The present invention introduces two key formulas to calculate the fitness score S resource (i) and comprehensive dispatch score R optimal (i). These two formulas comprehensively consider multiple factors such as geographical location, resource availability, urgency, travel time, compatibility, priority, and historical feedback, ensuring the scientific and rational selection of emergency resources. Through the application of these formulas, the system can dynamically adjust resource allocation according to actual conditions to maximize rescue efficiency and effectiveness.

[0106] The following is a brief introduction to the design reasons of each sub-item of the formula:

[0107]

[0108] α·D geo(i): This sub-item takes into account the distance between the emergency resources and the geographical location of the emergency incident. The closer the distance, the faster the resources can arrive at the scene, thereby improving the rescue efficiency. By assigning different weight coefficients α to different distances, the system can more accurately evaluate the geographical advantages of resources and ensure that the resources closest to the incident are selected.

[0109] β·A avail (i): This sub-item reflects the availability of emergency resources. Only when resources are available can rescue be effectively participated in. By introducing the evaluation of resource availability and assigning it a weight coefficient β, the system can give priority to currently available resources and avoid delays caused by unavailable resources.

[0110] γ·E urgency :This sub-item measures the urgency of emergency needs. For high-urgency incidents, rapid response is essential. By introducing the urgency factor E urgency By assigning a weight coefficient γ, the system can adjust the priority of resource allocation according to the severity and urgency of the event to ensure that the most needed resources are in place first.

[0111] λ·T traffic (i): This sub-item considers the impact of traffic time on the arrival of resources at the site. Traffic conditions directly affect whether resources can arrive on time. By estimating the estimated time for resources to arrive at the site and assigning it a weight coefficient λ, the system can more accurately predict the actual arrival time of resources, optimize path planning, and ensure that resources can arrive at the site as quickly as possible.

[0112] The following is a brief introduction to how to obtain the parameters of the formula:

[0113] Geographical location geo (i) and weight coefficient α control the importance of distance in the scoring. The resource location and event location coordinates are obtained through GPS and the Euclidean distance is calculated; resource availability A avail (i) and weight coefficient β to obtain resource status information from the resource management system in real time; urgency level E urgency and weight coefficient γ, analyze the type and severity of the current emergency incident based on historical data; traffic time T traffic (i) The inverse weight coefficient λ controls the importance of traffic time in the score by combining real-time traffic data and map services to estimate the arrival time.

[0114] The following is a brief introduction to the design reasons of each sub-item of the formula:

[0115]

[0116] (1-δ·(1-C compatibility(i))):This sub-item evaluates the compatibility of emergency resources with on-site equipment. Good compatibility between resources and on-site equipment can improve rescue efficiency and reduce unnecessary conversions and delays. By introducing the compatibility factor C compatibility (i) And given an adjustment coefficient δ, the system can give priority to resources that are highly compatible with on-site equipment to ensure the smooth progress of the rescue process.

[0117] (1+η·P priority (i)) This sub-item reflects the importance and priority of emergency resources. Some resources may have higher priority due to their special functions or uses. By introducing the priority score P priority (i) And by assigning a weight coefficient η, the system can prioritize the resources that are critical to the current event and ensure that key resources can be put into use at the first time.

[0118] (1+θ·F feedback (i)): This sub-item evaluates the performance of resources based on historical feedback data. Resources that have performed well in the past are usually more reliable and can provide better support at critical moments. By introducing the historical feedback score F feedback (i) And assign a weight coefficient θ to it. The system can adjust its final score according to the historical performance of the resource to ensure that those verified resources with excellent performance are selected to improve the rescue success rate.

[0119] The following is a brief introduction to how to obtain the parameters of the formula:

[0120] Suitability score S resource (i) is the basic score, reflecting the basic adaptability of the resource; the acquisition method is as described above; compatibility C compatibility (i) reflects the compatibility of resources with field equipment; the higher the compatibility, the higher the score; the weight coefficient δ controls the impact of compatibility in the final score; the acquisition method is based on the comparison of technical specifications of resources and field equipment; the priority P priority (i) reflects the importance and priority of the resource; the higher the priority, the higher the score; the weight coefficient η controls the impact of the priority on the final score; the acquisition method is to set the priority according to the resource type and purpose; the historical feedback score F feedback (i) reflects the historical performance of the resource; the better the performance, the higher the score; the weight coefficient θ controls the impact of historical feedback on the final score; the method of obtaining it is to collect performance data of the resource from the historical records.

[0121] Suppose a traffic accident occurs in a city, and an ambulance and medical team need to be dispatched urgently. First, the system integrates multi-source heterogeneous data such as video surveillance data from the accident scene, medical equipment status of nearby hospitals, traffic flow information and weather conditions through a dynamic emergency event scenario model, and uses situational awareness technology to monitor the on-site environment and personnel behavior patterns in real time; combined with historical data to analyze the urgency of emergency needs, it is found that this is a high-urgency event involving multiple seriously injured people. urgency = 0.9; Evaluate the availability of emergency resources and find the nearest ambulance A avail (1) = 1 (available), while the next closest ambulance is performing other tasks A avail (2) = 0; Estimate the estimated time for each resource to arrive at the scene. The first ambulance T traffic (1) = 5 minutes, the second T traffic (2) = 8 minutes; Calculate the suitability score of each emergency resource:

[0122]

[0123] Next, evaluate the compatibility of each emergency resource with the on-site equipment. compatibility (1) = 0.8, determine its priority P priority (1) = 0.9, and considers the resource performance score F based on historical feedback data feedback (1) = 0.85; Generate a comprehensive dispatch score for each emergency resource:

[0124]

[0125] By sorting the comprehensive dispatch scores of multiple emergency resources and selecting the best emergency resource, the first ambulance with the highest score was finally selected as the optimal dispatch solution. Through the above steps, the system not only improves the accuracy of emergency resource dispatch, but also achieves rapid response to on-site situations, significantly improving rescue efficiency and the success rate of patient treatment.

[0126] In order to solve the problem that the emergency process is not flexible enough and the resource allocation path is not optimized enough, in some embodiments, the patient status is updated based on the optimized emergency resource allocation plan and instant guidance information in step 103, and the use of emergency resources is adaptively responded to, and the emergency strategy and resource allocation path are adjusted through geographic information system path planning analysis to obtain a dynamically adjusted emergency process and optimized path plan, including:

[0127] Based on the optimized emergency resource allocation plan and instant guidance information, the patient status is updated, and the use of emergency resources is adaptively responded to, so as to obtain patient status assessment results and resource use analysis reports; based on the patient status assessment results and resource use analysis reports, in combination with the geographic information system, the existing emergency strategy is analyzed for path planning, and a preliminary adjusted emergency strategy and path planning plan are generated; using the preliminary adjusted emergency strategy and path planning plan, the emergency process is dynamically adjusted to generate a dynamically adjusted emergency process; based on the dynamically adjusted emergency process, the resource allocation path is optimized to obtain an optimized path plan.

[0128] In this step, the patient status assessment results include real-time monitoring of vital signs data, disease progression and other information to reflect changes in the patient's health status; the resource use analysis report records the frequency, duration and effect feedback of emergency resource use to help evaluate the rationality of resource use; the geographic information system (GIS) provides map data and path planning tools to support path optimization analysis based on geographic location; path planning analysis is to find more efficient rescue routes and resource scheduling plans by re-evaluating existing emergency strategies.

[0129] In the embodiments of the present application, firstly, based on the optimized emergency resource allocation plan and instant guidance information, the system updates the patient status in real time and evaluates the use of emergency resources, and generates patient status evaluation results and resource use analysis reports; secondly, in combination with the geographic information system, the system performs path planning analysis on the existing emergency strategies, taking into account factors such as traffic conditions and distance, and generates preliminary adjusted emergency strategies and path planning plans; thirdly, using these preliminary adjusted strategies and path planning, the system dynamically adjusts the emergency process to ensure that each step of action can maximize the rescue efficiency; finally, based on the dynamically adjusted emergency process, the system further optimizes the resource allocation path to ensure that resources can reach the designated location as quickly as possible, thereby forming a final optimized path plan.

[0130] Here is a specific example:

[0131] Suppose a public health emergency occurs at a city subway station, and multiple passengers experience acute symptoms of unknown causes. First, based on the optimized emergency resource allocation plan and instant guidance information, the system updates the health status of each patient (such as heart rate, blood pressure, etc.) in real time, and evaluates the use of emergency resources (such as ambulances and medical equipment), generating detailed patient status evaluation results and resource usage analysis reports; secondly, combined with the geographic information system, the system analyzes the existing emergency strategies for path planning, and generates preliminary adjusted emergency strategies and path planning plans considering the road congestion around the subway station, such as choosing an alternative route to avoid traffic jams during peak hours; thirdly, using these preliminary adjusted strategies and path planning, the system dynamically adjusts the emergency process, arranges the nearest hospital to send a professional team to the scene, and notifies the traffic management department along the way to assist in diverting traffic; finally, based on the dynamically adjusted emergency process, the system further optimizes the resource allocation path to ensure that the ambulance can arrive at the scene in the shortest time and quickly transfer the injured to the nearest professional emergency center. Through the above steps, the system not only improves the flexibility and response speed of the emergency process, but also ensures the optimization of resource scheduling, significantly improving the rescue efficiency and the success rate of patient treatment.

[0132] In order to solve the problem of inaccurate path planning and untimely adjustment of emergency strategies, in some embodiments, according to the patient status assessment results and resource usage analysis report, combined with the geographic information system, path planning analysis is performed on the existing emergency strategies to generate a preliminary adjusted emergency strategy and path planning plan, including:

[0133] According to the patient status assessment results and resource usage analysis report, a geographic information system is used to perform a path planning analysis on the existing emergency response strategy to obtain preliminary path planning options; based on the preliminary path planning options, combined with the patient's current health status and the real-time availability of resources, an adjusted draft emergency response strategy is generated; using the adjusted draft emergency response strategy, different path plans are simulated and tested and risk assessed to obtain path optimization suggestions; based on the path optimization suggestions, the emergency response strategy is adjusted to generate a preliminary adjusted emergency response strategy and path planning solution.

[0134] In this step, the patient status assessment results include real-time monitoring of vital signs data, disease progression and other information to reflect changes in the patient's health status; the resource use analysis report records the frequency, duration and effect feedback of emergency resources (such as ambulances and medical equipment) to help evaluate the rationality of resource use; the geographic information system (GIS) provides map data and path planning tools to support path optimization analysis based on geographic location; path planning analysis is to find more efficient rescue routes and resource scheduling plans by re-evaluating existing emergency strategies.

[0135] In the embodiment of the present application, first, the system uses the geographic information system to perform path planning analysis on the existing first aid strategy based on the patient status assessment results and the resource usage analysis report, and obtains preliminary path planning options; secondly, based on these preliminary options, combined with the patient's current health status and the real-time availability of resources, the system generates an adjusted first aid strategy draft; thirdly, using the adjusted first aid strategy draft, the system simulates and tests different path plans and conducts risk assessments, and puts forward specific path optimization suggestions; finally, based on the path optimization suggestions, the system makes final adjustments to the first aid strategy, and generates a preliminary adjusted first aid strategy and path planning plan to ensure that each step of action can maximize the rescue efficiency.

[0136] Here is a specific example:

[0137] Suppose a sudden mass poisoning incident occurs in a city commercial district, and multiple people need emergency medical assistance. First, the system uses the geographic information system to analyze the existing emergency strategy based on the patient status assessment results (such as heart rate, blood pressure, respiratory rate, etc.) and resource usage analysis reports (such as the number of beds in nearby hospitals, the location and status of ambulances), and obtains several possible rescue routes as preliminary path planning options; secondly, based on these preliminary options, the system combines the patient's current health status (such as whether there are critically ill patients) and the real-time availability of resources (such as whether the nearest ambulance is idle) to generate an adjusted emergency strategy draft, such as giving priority to dispatching the nearest ambulance with the required medical equipment; thirdly, using the adjusted emergency strategy draft, the system simulates and evaluates different path plans, considers factors such as traffic flow and road construction, and puts forward specific path optimization suggestions, such as choosing an alternative route that avoids traffic jams during peak hours; finally, based on the path optimization suggestions, the system makes a final adjustment to the emergency strategy and generates a preliminary adjusted emergency strategy and path planning scheme to ensure that the ambulance can arrive at the scene in the shortest time and quickly transfer the injured to the nearest professional emergency center. Through the above steps, the system not only improves the flexibility and response speed of the emergency strategy, but also ensures the optimization of resource scheduling, significantly improving the rescue efficiency and the success rate of patient treatment.

[0138] This application takes into account that in order to solve the problems in the existing emergency system that the patient status update is not real-time enough, the resource usage response processing is not flexible, and there is a lack of dynamic adjustment mechanism, the embodiment of the present invention proposes a method based on optimized emergency resource allocation scheme and instant guidance information. This method constructs a dynamic emergency event scenario model by integrating multi-source heterogeneous data, and uses resource optimization algorithms and situational awareness technology to evaluate and select the most appropriate emergency resources, so as to accurately calculate the patient status evaluation results (PSER) and generate a resource usage analysis report (RUAR). This method not only improves the accuracy of patient status updates, but also enhances the adaptive response capability to the use of emergency resources, ensures the dynamic adjustment of emergency strategies, and improves the quality and efficiency of overall emergency services.

[0139] Optionally, based on the optimized emergency resource configuration scheme and the instant guidance information, the patient status is updated, and the use of emergency resources is adaptively responded to, to obtain a patient status assessment result and a resource use analysis report, including:

[0140] The system builds a dynamic emergency event scenario model by integrating multi-source heterogeneous data, and uses resource optimization algorithms and situational awareness technology to evaluate and select the most appropriate emergency resources, laying the foundation for accurately calculating the patient status evaluation result PSER;

[0141]

[0142] Among them, Q represents the optimized emergency resource allocation plan; L represents the result of the geographic information system path planning analysis; φ represents the degree of influence of adjusting the positioning accuracy; o represents the current health status of the patient; Z represents the assessment information of the on-site environmental changes; J represents the quantity or quality of the immediate guidance information; B represents the real-time availability of resources; M represents the impact of response time on the allocation plan; k represents the attenuation of time on resource effectiveness; ω represents the impact of the change rate; W represents the change rate in the emergency response process;

[0143] After calculating the PSER, the system updates the patient's current status based on the results and responds to the use of emergency resources. At the same time, it uses the geographic information system path planning analysis to adjust the emergency strategy to ensure the dynamic adaptability of the process, thereby generating a resource use analysis report RUAR;

[0144]

[0145] Wherein, L represents the result of the geographic information system path planning analysis; Q represents the optimized emergency resource allocation plan; Z represents the on-site environmental change assessment information; O represents the patient's current health status; PSER represents the patient status assessment result calculated from the first formula; B represents the real-time availability of resources; J represents the quantity or quality of immediate guidance information; χ represents the nonlinear intensity adjustment; v represents the contribution adjustment of PSER in the RUAR calculation; σ represents the impact of the emergency score; V represents the score determined according to the severity and urgency of the event;

[0146] The system integrates all feedback data for post-analysis, extracts lessons learned for improving emergency procedures, and develops optimization guidelines to enhance preparedness and response speed for future incident handling, continuously optimize the performance of the emergency information processing system, and obtain patient status assessment results and resource utilization analysis reports.

[0147] The formula aims to achieve the above goals. The present invention introduces two key formulas to calculate the patient status evaluation result PSER and the resource usage analysis report RUAR. These two formulas comprehensively consider multiple factors such as the emergency resource allocation plan, the geographic information system path planning analysis results, the patient's health status, the on-site environmental change evaluation information, the immediate guidance information, the real-time availability of resources, the response time, the change rate, etc., to ensure the comprehensiveness and accuracy of the evaluation results. Through the application of these formulas, the system can dynamically adjust the emergency strategy according to the actual situation to maximize the rescue efficiency and effect.

[0148] The following is a brief introduction to the design reasons of each sub-item of the formula:

[0149]

[0150] (Q.L φ ·exp(-κ·M)): This sub-item comprehensively considers the optimized emergency resource allocation plan, the results of the GIS path planning analysis, and the impact of the response time on the allocation plan. Through this sub-item, the system can evaluate the rationality of resource selection and the effectiveness of arriving at the scene, ensuring that the best emergency resources are selected and that these resources can arrive at the scene in the shortest time.

[0151] sin(π·O)·e -(Z / 50) :This sub-item combines the patient's current health status and the assessment information of the on-site environmental changes. It reflects the urgency of the patient's health status and the impact of on-site environmental changes on the difficulty of rescue. Through this sub-item, the system can more accurately assess the patient's specific situation and on-site conditions, providing a basis for formulating personalized emergency strategies.

[0152] J+1+log(1+B)+ω·W: This sub-item evaluates the quantity or quality of immediate guidance information, the real-time availability of resources, and the rate of change during the emergency response process. It ensures that the system not only pays attention to the physical properties of resources, but also takes into account the quality of information transmission and the dynamic changes in the response process, thereby improving the flexibility and response speed of resource scheduling.

[0153] The following is a brief introduction to how to obtain the parameters of the formula:

[0154] Optimized emergency resource allocation plan Q: reflects the effectiveness of the resource allocation plan; the better the allocation, the higher the score; acquisition method: obtained from the resource management system; the results of the geographic information system path planning analysis L: reflects the rationality of the path planning; the better the path, the higher the score; acquisition method: calculated by combining the GIS system and map service; the degree of influence of adjusting the positioning accuracy φ: reflects the impact of positioning accuracy on the score; the higher the accuracy, the higher the score; acquisition method: based on GPS and sensor data; the patient's current health status O: reflects the patient's health status; the more critical the status, the higher the score; acquisition method: obtained in real time through vital signs monitoring equipment; on-site environmental change assessment information Z: reflects the impact of environmental changes on the score; the greater the change, the higher the score; acquisition method: through environmental sensors and video monitoring; the quantity or quality of instant guidance information J: reflects the quality of guidance information Importance; the more information and the higher the quality, the higher the score; acquisition method: recorded from the communication system; real-time availability of resources B: reflects whether the resources are available immediately; the higher the availability, the higher the score; acquisition method: acquired in real time from the resource management system; the impact of response time on the configuration plan M: reflects the impact of response time on the score; the shorter the time, the higher the score; acquisition method: estimate the arrival time and preparation time; the attenuation of time on resource effectiveness k: reflects the impact of time on resource effectiveness; the longer the time, the lower the score; acquisition method: based on historical data analysis; the impact of change rate ω: reflects the impact of change rate on the score; the higher the rate, the higher the score; acquisition method: based on sensor data; the rate of change during the emergency response W: reflects the rate of change during the response; the higher the rate, the higher the score; acquisition method: recorded through sensors and communication systems.

[0155] The following is a brief introduction to the design reasons of each sub-item of the formula:

[0156]

[0157] (L·exp(Q / (1+Z))-cos(π·O)) χ:This sub-item comprehensively considers the results of the geographic information system path planning analysis, the optimized emergency resource allocation plan, the on-site environmental change assessment information, and the patient's current health status. By introducing the nonlinear intensity adjustment factor χ, the system can more flexibly respond to complex and changing on-site conditions, ensuring the rationality and efficiency of path planning and resource allocation.

[0158] This sub-item reflects the contribution of the patient status assessment result PSER in the calculation of the resource utilization analysis report RUAR, and takes into account the real-time availability of resources and the quantity or quality of immediate guidance information. Through this sub-item, the system can evaluate the specific impact of PSER on resource utilization and ensure more accurate and effective resource scheduling.

[0159] σ·V: This sub-item combines the impact of the urgency score with the score determined based on the severity and urgency of the incident. It ensures that the system fully considers the urgency and severity of the incident when evaluating resource usage, making resource allocation priorities more reasonable and improving the ability to respond to emergencies.

[0160] The following is a brief introduction to how to obtain the parameters of the formula:

[0161] Patient status assessment result PSER: reflects the impact of patient status assessment results on resource utilization analysis; the higher the score, the greater the impact; acquisition method: calculated by the above formula; non-linear strength adjustment χ: reflects the impact of non-linear strength on the score; the higher the adjustment coefficient, the more drastic the score change; acquisition method: set based on experimental data; PSER contribution adjustment v in RUAR calculation: reflects the degree of influence of PSER on RUAR; the higher the adjustment coefficient, the greater the impact; acquisition method: set based on experimental data; impact of urgency score σ: reflects the impact of urgency score on the score; the higher the score, the greater the impact; acquisition method: determined based on event severity and urgency; score V determined based on event severity and urgency: reflects the impact of event severity and urgency on the score; the higher the score, the greater the impact; acquisition method: set based on event type and severity.

[0162] Suppose a traffic accident occurs in a city, resulting in multiple people being injured and requiring emergency medical assistance. First, the system builds a dynamic emergency event scenario model by integrating multi-source heterogeneous data, and uses resource optimization algorithms and situational awareness technology to evaluate and select the most appropriate emergency resources. The system calculates the patient status evaluation result PSER:

[0163]

[0164] Next, the system updates the patient's current status according to the PSER and responds to the use of emergency resources. At the same time, it uses the geographic information system path planning analysis to adjust the emergency strategy and generate a resource usage analysis report RUAR:

[0165]

[0166] Through comprehensive evaluation of multiple emergency resources, the system finally selected the resource with the highest score as the optimal scheduling solution. Through the above steps, the system not only improved the accuracy of patient status updates and the flexibility of resource use, but also realized the dynamic adjustment of emergency strategies, significantly improving rescue efficiency and patient treatment success rate.

[0167] In summary, the present invention solves the problems of insufficient real-time updates of patient status and inflexible response processing of resource usage in the prior art by introducing a dynamic emergency event scenario model and an advanced resource optimization algorithm, realizes effective response to complex emergency scenarios, and improves the quality and efficiency of overall emergency services. Assuming that the threshold is set to 0.8, since the calculation results of PSER and RUAR are both greater than the set threshold, it shows that the emergency resource allocation and response processing have achieved the expected results, further verifying the efficiency and reliability of the system.

[0168] In order to solve the problem of lack of systematic feedback and continuous improvement mechanism after the optimization of the emergency process and path, in some embodiments, the step 104 integrates various feedback data related to the dynamically adjusted emergency process and the optimized path plan, performs post-analysis, and generates an optimization guide, including:

[0169] Integrate various feedback data related to the dynamically adjusted first aid process and the optimized path plan, conduct systematic collection and structured organization, and obtain a standardized feedback data set; based on the standardized feedback data set, use data analysis technology to conduct in-depth analysis of key decision points, operational efficiency and resource utilization in first aid incidents, determine the lessons learned from improving the first aid process, and generate a preliminary experience summary report; based on the preliminary experience summary report, conduct a comprehensive assessment of the lessons learned to obtain a draft optimization suggestion; establish a continuous optimization mechanism for the draft optimization suggestion, formulate specific improvement measures and implementation plans, and generate an optimization guide.

[0170] In this step, the feedback data includes various records of the first aid process (such as rescue time, arrival time, treatment effect), patient recovery status, resource utilization evaluation, etc., which are used to comprehensively evaluate the handling process of first aid incidents; systematic collection and structured organization ensure the integrity and consistency of the data, which is convenient for subsequent analysis; data analysis technology uses statistical analysis, machine learning and other means to explore potential patterns and trends in the data, and help identify key issues and improvement points; the preliminary experience summary report brings together the successful experiences and shortcomings in the first aid process; the draft optimization proposal is a comprehensive assessment of these lessons learned, and puts forward specific improvement suggestions; the continuous optimization mechanism ensures that the improvement suggestions can be continuously iterated and improved to form a closed-loop management.

[0171] In the embodiment of the present application, firstly, the system systematically collects and structures various feedback data related to the dynamically adjusted first aid process and the optimized path plan to ensure the integrity and consistency of the data and obtain a standardized feedback data set; secondly, the standardized feedback data set is deeply analyzed by using data analysis technology, focusing on the key decision points, operational efficiency and resource utilization in the first aid incidents, and the lessons learned from improving the first aid process are determined, and a preliminary experience summary report is generated; thirdly, based on the preliminary experience summary report, the system comprehensively evaluates the lessons learned and extracts a draft optimization suggestion, covering all aspects from resource allocation to operational procedures; finally, a continuous optimization mechanism is established for the draft optimization suggestion, specific improvement measures and implementation plans are formulated, and finally an optimization guide is generated to ensure that the improvement suggestions can be effectively implemented and continuously iterated.

[0172] Here is a specific example:

[0173] Suppose an emergency occurs in a large public event in a city, resulting in multiple injuries and requiring emergency medical assistance. First, the system systematically collects and structures various feedback data related to the dynamically adjusted emergency process and optimized path plan, including ambulance arrival time, on-site treatment efficiency, hospital admission and treatment, etc., to form a standardized feedback data set; secondly, using data analysis technology to conduct in-depth analysis of these standardized data, it was found that some ambulances failed to arrive at the scene in time due to traffic jams, and some emergency equipment was used less frequently but with significant effects, thus identifying the lessons learned from improving the emergency process and generating a preliminary experience summary report; thirdly, based on this preliminary report, the system conducted a comprehensive evaluation of the lessons learned and extracted a draft of optimization suggestions, such as strengthening traffic diversion support and optimizing equipment configuration; finally, a continuous optimization mechanism was established for the draft optimization suggestions, and specific improvement measures and implementation plans were formulated, such as regular training of emergency personnel to cope with complex road conditions, updating equipment configuration standards, etc., and finally a detailed optimization guide was generated to ensure that similar incidents in the future are handled more efficiently and scientifically. Through the above steps, the system not only improves the flexibility and response speed of the emergency process, but also provides valuable reference for future emergency work and improves the quality and efficiency of the overall emergency service.

[0174] Figure 2 A schematic diagram of the structure of a multi-source data fusion emergency information processing system is provided for an embodiment of the present application. Figure 2 As shown, the device comprises:

[0175] The matching module 21 is used to use the multi-source heterogeneous data streams, geographic locations, timestamps and environmental perception data acquired in real time to perform deep correlation matching and modeling on emergency events to obtain a dynamic emergency event situation model;

[0176] The push module 22 is used to evaluate and select the most suitable emergency resources according to the dynamic emergency event scenario model using a resource optimization algorithm, analyze the behavior patterns of on-site personnel and environmental changes through situational awareness technology, and obtain an optimized emergency resource allocation plan and instant guidance information;

[0177] The analysis module 23 is used to update the patient status based on the optimized emergency resource allocation plan and the instant guidance information, and to perform adaptive response processing on the use of emergency resources, and to adjust the emergency strategy and optimize the resource allocation path through the geographic information system path planning analysis, so as to obtain the dynamically adjusted emergency process and optimized path plan;

[0178] The integration module 24 is used to integrate various feedback data related to the dynamically adjusted emergency process and the optimized path plan, conduct post-analysis, and generate an optimization guide, wherein the optimization guide is used to improve the readiness and response speed for handling similar incidents in the future.

[0179] Figure 2 The multi-source data fusion emergency information processing system can execute Figure 1 The implementation principle and technical effect of the multi-source data fusion emergency information processing method described in the illustrated embodiment will not be repeated. The specific manner in which each module and unit performs operations in the multi-source data fusion emergency information processing system in the above embodiment has been described in detail in the embodiment of the method, and will not be elaborated here.

[0180] In one possible design, Figure 2 The multi-source data fusion emergency information processing system of the embodiment shown can be implemented as a computing device, such as Figure 3 As shown, the computing device may include a storage component 31 and a processing component 32;

[0181] The storage component 31 stores one or more computer instructions, wherein the one or more computer instructions are called and executed by the processing component 32 .

[0182] The processing component 32 is used to: utilize multi-source heterogeneous data streams, geographic locations, timestamps, and environmental perception data acquired in real time to perform deep correlation matching and modeling of emergency events to obtain a dynamic emergency event scenario model; based on the dynamic emergency event scenario model, use a resource optimization algorithm to evaluate and select the most suitable emergency resources, analyze the behavior patterns and environmental changes of on-site personnel through situational awareness technology, and obtain an optimized emergency resource allocation plan and immediate guidance information; based on the optimized emergency resource allocation plan and immediate guidance information, update the patient status and perform adaptive response processing on the use of emergency resources, and adjust the emergency strategy and optimize the resource allocation path through geographic information system path planning analysis to obtain a dynamically adjusted emergency process and optimized path plan; integrate various feedback data related to the dynamically adjusted emergency process and optimized path plan, conduct post-analysis, and generate an optimization guide, wherein the optimization guide is used to improve the readiness and response speed for handling similar events in the future.

[0183] The processing component 32 may include one or more processors to execute computer instructions to complete all or part of the steps in the above method. Of course, the processing component may also be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic components to perform the above method.

[0184] The storage component 31 is configured to store various types of data to support operations at the terminal. The storage component can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.

[0185] Of course, the computing device may also include other components, such as input / output interfaces, display components, communication components, etc.

[0186] The input / output interface provides an interface between the processing component and the peripheral interface module, which may be an output device, an input device, etc.

[0187] The communication component is configured to facilitate, among other things, wired or wireless communications between the computing device and other devices.

[0188] Among them, the computing device can be a physical device or an elastic computing host provided by a cloud computing platform, etc. In this case, the computing device can refer to a cloud server, and the above-mentioned processing components, storage components, etc. can be basic server resources rented or purchased from the cloud computing platform.

[0189] The present application also provides a computer storage medium storing a computer program, wherein the computer program can achieve the above-mentioned Figure 1 A method for processing emergency information by fusing multi-source data in the illustrated embodiment.

[0190] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0191] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0192] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0193] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A multi-source data fusion emergency information processing method, characterized in that: include: Using real-time multi-source heterogeneous data streams, geographic locations, timestamps, and environmental perception data, we can deeply correlate and match emergency events and model them to obtain a dynamic emergency event situation model. According to the dynamic emergency incident scenario model, a resource optimization algorithm is used to evaluate and select the most appropriate emergency resources, and the behavior patterns of on-site personnel and environmental changes are analyzed through situational awareness technology to obtain an optimized emergency resource allocation plan and instant guidance information; Based on the optimized emergency resource allocation plan and instant guidance information, the patient status is updated, and the use of emergency resources is adaptively responded to, and through geographic information system path planning analysis, the emergency strategy is adjusted and the resource allocation path is optimized to obtain a dynamically adjusted emergency process and optimized path plan; Integrate various feedback data related to the dynamically adjusted emergency procedures and optimized path plans, conduct post-analysis, and generate optimization guidelines, wherein the optimization guidelines are used to improve the readiness and response speed for handling similar incidents in the future.

2. The method according to claim 1, characterized in that According to the dynamic emergency incident scenario model, a resource optimization algorithm is used to evaluate and select the most appropriate emergency resources, and the behavior patterns and environmental changes of on-site personnel are analyzed through situational awareness technology to obtain an optimized emergency resource allocation plan and instant guidance information, including: Utilizing the dynamic emergency incident scenario model, optimizing resources of multi-source heterogeneous data, evaluating and selecting the most appropriate emergency resources, and obtaining the optimal dispatching plan; According to the optimal dispatching plan, the behavior patterns of on-site personnel and environmental changes are analyzed in real time through situational awareness technology to generate personalized first aid guidance content; Based on the personalized first aid guidance content, configure the information push mechanism of the multi-channel communication technology to generate an information push mechanism configuration result; The configuration results of the information push mechanism are used to monitor and adjust the emergency response process in real time to obtain an optimized emergency resource configuration plan and instant guidance information.

3. The method according to claim 2, characterized in that According to the optimal dispatching scheme, the behavior patterns of on-site personnel and environmental changes are analyzed and processed in real time through situational awareness technology to generate personalized first aid guidance content, including: According to the optimal scheduling scheme, the behavior patterns of on-site personnel and environmental changes are analyzed and processed in real time using situational awareness technology to obtain behavior pattern analysis results and environmental change assessment information; Based on the behavior pattern analysis results and the environmental change assessment information, combined with the first aid knowledge base and the expert system, the personalized first aid guidance content is generated and processed to obtain preliminary personalized first aid guidance content; Utilizing the preliminary personalized first aid guidance content, the language expression of the guidance content is optimized through a natural language processing algorithm to ensure that the guidance information is clear, accurate and easy to understand, thereby generating personalized first aid guidance content.

4. The method according to claim 2, characterized in that: The configuring of the information push mechanism of the multi-channel communication technology based on the personalized first aid guidance content and generating the information push mechanism configuration result includes: Based on the optimized personalized first aid guidance content, the information push mechanism is preliminarily configured using multi-channel communication technology to obtain an initial information push mechanism configuration plan; According to the initial information push mechanism configuration scheme, combined with the compatibility of the on-site equipment and the characteristics of the network environment, adaptive adjustments are made to generate detailed information push paths and priority settings; Using the refined information push path and priority setting, simulate and evaluate the push effect to obtain the test evaluation result; Based on the test evaluation results, the information push mechanism is optimized and an information push mechanism configuration result is generated.

5. The method according to claim 1, characterized in that: Based on the optimized emergency resource allocation scheme and instant guidance information, the patient status is updated, and the use of emergency resources is adaptively responded to, and the emergency strategy and resource allocation path are adjusted through geographic information system path planning analysis to obtain a dynamically adjusted emergency process and optimized path scheme, including: Based on the optimized emergency resource allocation plan and instant guidance information, the patient status is updated, and the use of emergency resources is adaptively responded to, to obtain patient status assessment results and resource use analysis reports; Based on the patient status assessment results and resource usage analysis report, combined with the geographic information system, a path planning analysis is performed on the existing emergency strategy to generate a preliminary adjusted emergency strategy and path planning plan; Using the preliminarily adjusted emergency strategy and path planning scheme, dynamically adjust the emergency process to generate a dynamically adjusted emergency process; Based on the dynamically adjusted emergency treatment process, the resource allocation path is optimized to obtain an optimized path solution.

6. The method according to claim 5, characterized in that According to the patient status assessment results and resource usage analysis report, combined with the geographic information system, the existing emergency strategy is analyzed for path planning, and a preliminary adjusted emergency strategy and path planning scheme is generated, including: Based on the patient status assessment results and resource usage analysis report, a geographic information system is used to perform a path planning analysis on the existing emergency strategies to obtain preliminary path planning options; Based on the preliminary path planning options, combined with the patient's current health status and the real-time availability of resources, an adjusted emergency strategy draft is generated; Using the adjusted emergency strategy draft, simulate and evaluate different path plans to obtain path optimization suggestions; According to the path optimization suggestion, the first aid strategy is adjusted to generate a preliminary adjusted first aid strategy and path planning plan.

7. The method according to claim 1, characterized in that The integration of various feedback data related to the dynamically adjusted emergency procedures and the optimized path plan, post-analysis, and generation of optimization guidelines include: Integrate various feedback data related to the dynamically adjusted emergency procedures and optimized path plans, collect and organize them in a systematic manner, and obtain a standardized feedback data set; Based on the standardized feedback data set, use data analysis technology to conduct in-depth analysis of key decision points, operational efficiency and resource usage in emergency incidents, identify lessons learned from improving emergency procedures, and generate a preliminary experience summary report; Based on the preliminary experience summary report, conduct a comprehensive assessment of the lessons learned and obtain a draft optimization recommendation; Establish a continuous optimization mechanism for the draft optimization proposal, formulate specific improvement measures and implementation plans, and generate optimization guidelines.

8. A multi-source data fusion emergency information processing system, characterized in that: include: The matching module is used to use the real-time acquired multi-source heterogeneous data streams, geographic locations, timestamps, and environmental perception data to perform deep correlation matching and modeling of emergency events to obtain a dynamic emergency event situation model; A push module is used to evaluate and select the most appropriate emergency resources based on the dynamic emergency event scenario model using a resource optimization algorithm, analyze the behavior patterns of on-site personnel and environmental changes through situational awareness technology, and obtain an optimized emergency resource allocation plan and instant guidance information; An analysis module is used to update the patient status based on the optimized emergency resource allocation plan and instant guidance information, and to perform adaptive response processing on the use of emergency resources, and to adjust the emergency strategy and optimize the resource allocation path through geographic information system path planning analysis to obtain a dynamically adjusted emergency process and optimized path plan; The integration module is used to integrate various feedback data related to the dynamically adjusted emergency process and the optimized path plan, conduct post-analysis, and generate an optimization guide, wherein the optimization guide is used to improve the readiness and response speed for handling similar incidents in the future.

9. A computing device, characterized in that It comprises a processing component and a storage component; the storage component stores one or more computer instructions; the one or more computer instructions are used to be called and executed by the processing component to implement a multi-source data fusion emergency information processing method as described in any one of claims 1 to 7.

10. A computer storage medium, characterized in that: A computer program is stored, and when the computer program is executed by a computer, the method for processing emergency information by multi-source data fusion as claimed in any one of claims 1 to 7 is implemented.

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