Scheduling management method and system based on ocean emergency plan

Abstract

The invention relates to the technical field of ocean safety, in particular to a dispatching management method and system based on an ocean emergency plan, and the method comprises the following steps: analyzing maritime accident information based on emergency processing request information, extracting text content, detecting a plurality of keywords, recognizing the category of an accident through analyzing the combination and context relation of the keywords, and carrying out the dispatching management of the accident. And generating accident type identification information. According to the invention, through accident type identification, in combination with marine environment conditions and accident types, accurate matching of emergency plans is realized, effective utilization of resources at most needed places is ensured, the ability of handling sudden maritime accidents is improved, the execution process of the emergency plans is recorded in real time, the execution efficiency is scored, and the emergency plans are accurately matched. The traceability of the emergency response process is optimized, a data basis is provided for subsequent optimization, the response speed and quality of the marine accident are improved by analyzing and optimizing the emergency plan, and the damage of the marine safety accident is effectively reduced.

Description

Technical Field

[0001] The present invention relates to the field of marine safety technology, and in particular to a dispatching management method and system based on a marine emergency plan. Background Art

[0002] The field of marine safety technology focuses on preventing and managing safety risks in the marine environment and ensuring the safety and efficiency of marine activities. It covers a variety of technologies and methods from ship safety management, maritime traffic control, environmental protection, and emergency response. It is applied to automated monitoring systems, marine environmental monitoring, emergency response mechanisms, and compliance with relevant laws and regulations. It aims to reduce the probability of marine accidents, improve the response speed and handling capabilities to emergencies, and protect the marine ecological environment from damage.

[0003] Among them, the dispatch management method based on marine emergency plans is a dispatch strategy designed for marine safety emergency response, aiming to optimize the allocation and use of emergency resources and improve the efficiency of handling marine emergencies. By analyzing marine environmental data and potential risks, multiple emergency plans are preset, and scheduling algorithms are used to adjust resource allocation in real time to respond to marine emergencies, improve the decision-making quality and execution speed of the emergency command center, and ensure that ships, personnel safety and the marine environment can be effectively protected at critical moments.

[0004] The scheduling and management methods of traditional marine emergency plans have obvious deficiencies in the real-time nature of emergency response and the flexibility of plan adjustment. They rely on pre-set standard plans to deal with marine accidents. When faced with complex and changeable marine environmental conditions, they are unable to quickly adapt to new challenges, resulting in suboptimal resource allocation and slow response speed. There is a lack of effective real-time data analysis and plan adjustment mechanisms, which makes it impossible to respond quickly according to actual conditions after an accident occurs, increasing the risks of handling maritime accidents, resulting in unnecessary economic losses and environmental impacts due to improper responses, and affecting the marine ecological environment. Summary of the invention

[0005] In order to solve the technical problem of poor flexibility in plan adjustment in the prior art, the embodiment of the present invention provides a scheduling management method and system based on marine emergency plan. The technical solution is as follows:

[0006] On the one hand, a dispatching management method based on marine emergency plan is provided, which includes:

[0007] S1: Based on the emergency handling request information, analyze the maritime accident information, extract the text content and detect multiple keywords, identify the category of the accident by analyzing the combination and contextual relationship of multiple keywords, and generate accident type identification information;

[0008] S2: Based on the accident type identification information, considering the marine environmental conditions, accident type, accident scale, and occurrence time of the target accident location, analyzing the urgency of the target accident, matching an emergency plan for the target emergency processing request, and generating an emergency plan matching record;

[0009] S3: Based on the emergency plan matching record, the execution process of the emergency plan is recorded in real time, including resource deployment and timeline information, and a marine accident response record is generated;

[0010] S4: Based on the marine accident response record, extract the time information and resource usage data of multiple processing processes in the response process, calculate the time consumption and resource usage efficiency of multiple processes, calculate the response efficiency by comparing with the preset efficiency standard, and generate the efficiency score calculation result;

[0011] S5: Based on the efficiency score calculation result, by analyzing the execution records of the target emergency plan and analyzing multiple accident response processes, the efficiency bottlenecks and improvement points of the target emergency plan are identified, the target emergency plan is revised, and an emergency plan optimization result is generated.

[0012] As a further solution of the present invention, the accident type identification information specifically includes accident category information, keyword extraction records, and accident scale information; the emergency plan matching records include urgency assessment results, accident location environmental conditions information, and plan adaptability scores; the marine accident response records include resource allocation lists, operation step sequence information, and accident response timeline information; the efficiency score calculation results specifically refer to time-consuming information of multiple processing processes, resource utilization information, and efficiency comparison analysis results; the emergency plan optimization results specifically include efficiency bottleneck identification results, improvement point detection records, and plan revision results.

[0013] As a further solution of the present invention, based on the emergency handling request information, the maritime accident information is analyzed, the text content is extracted and multiple keywords are detected, and the category of the accident is identified by analyzing the combination and contextual relationship of the multiple keywords. The steps of generating the accident type identification information are specifically as follows:

[0014] S101: Analyze the maritime accident information based on the emergency handling request information, extract the text content in the request information, identify keywords, and obtain a keyword identification list;

[0015] S102: Based on the keyword recognition list, detect the dependency relationship between multiple keywords, analyze the context framework of the accident, and generate a context relationship mapping record;

[0016] S103: Based on the context relationship mapping record, analyze and identify the accident category of the target request, and generate accident type identification information.

[0017] As a further solution of the present invention, based on the accident type identification information, considering the marine environmental conditions, accident type, accident scale, and occurrence time of the target accident location, the urgency of the target accident is analyzed, and an emergency plan is matched for the target emergency processing request. The steps of generating an emergency plan matching record are specifically as follows:

[0018] S201: Identify the marine environmental condition data of the accident location according to the accident type identification information, and evaluate the impact of the real-time marine environment on the severity of the accident in combination with the time of the accident to obtain an environmental impact assessment result;

[0019] S202: Calculate the urgency score of the target accident based on the environmental impact assessment result and the accident scale information to generate an urgency score;

[0020] S203: Based on the urgency score and in combination with the accident type, an emergency plan is matched for the target request, and an emergency plan matching record is generated.

[0021] As a further solution of the present invention, the specific formula for calculating the urgency score of the target accident is:

[0022]

[0023] Among them, E represents the urgency score, S represents the accident scale data, and W represents the S represents the accident scale weight, C represents the environmental condition data, W C represents the weight of environmental conditions, T represents the time information of the accident, and W T represents the time weight, which is adjusted according to the urgency of the accident time, R represents the risk assessment value related to the accident type, and W R represents the weight of the accident type, and D represents the distance factor, which indicates the distance from the accident site to the nearest emergency response center.

[0024] As a further solution of the present invention, based on the emergency plan matching record, the execution process of the emergency plan, including resource allocation and timeline information, is recorded in real time, and the steps of generating a marine accident response record are specifically as follows:

[0025] S301: Based on the emergency plan matching record, the start time and end time of multiple stages in the execution of the emergency plan are collected to obtain time node records;

[0026] S302: Based on the time node records, record the resource allocation situation, including the allocation of rescue personnel, rescue equipment, and rescue materials, and generate resource allocation information;

[0027] S303: Verify the integrity of the execution record based on the resource deployment information and generate a marine accident response record.

[0028] As a further solution of the present invention, based on the marine accident response record, the time information and resource usage data of multiple processing processes in the response process are extracted, the time consumption and resource usage efficiency of multiple processes are calculated, and the response efficiency is calculated by comparing with the preset efficiency standard. The specific steps of generating the efficiency score calculation result are as follows:

[0029] S401: Based on the marine accident response record, extract the time information of multiple processing flows during the execution process, calculate the duration of the multiple processing flows, and obtain the time-consuming information of the processing flows;

[0030] S402: Analyze resource usage efficiency of multiple processes based on the processing flow time consumption information and resource usage information to obtain resource usage efficiency data;

[0031] S403: Based on the resource utilization efficiency data, by comparing with a preset efficiency standard, efficiency scores are calculated for multiple processing flows, the execution efficiency of the target emergency plan is evaluated, and an efficiency score calculation result is generated.

[0032] As a further solution of the present invention, the specific formula for evaluating the execution efficiency of the target emergency plan is:

[0033]

[0034] Where P is the calculated comprehensive efficiency score of each process, N is the total number of processes, i is the index of the process, and H i is the actual time consumption of the ith process, H std is the preset time standard, U H is the time-consuming weight coefficient, V i is the resource utilization rate of the ith process, V std is the preset resource utilization standard, U V is the weight coefficient of resource utilization, K i is the cost of the ith process, K std is the preset cost standard, U K is the weight coefficient of cost.

[0035] As a further solution of the present invention, based on the efficiency score calculation result, by analyzing the execution record of the target emergency plan, by analyzing multiple accident response processes, identifying the efficiency bottlenecks and improvement points of the target emergency plan, revising the target emergency plan, and generating the emergency plan optimization result, the specific steps are:

[0036] S501: Based on the efficiency score calculation result, extract and analyze the execution records of the target emergency plan in multiple accident responses, including response time, execution efficiency, and resource usage, and generate execution record extraction results;

[0037] S502: Analyze the execution record extraction results, identify the key processes that lead to low efficiency by analyzing the time delays and resource waste of multiple execution processes in the target plan, and mark improvement points to obtain efficiency bottleneck identification results;

[0038] S503: Based on the efficiency bottleneck identification result, adjust and revise the target emergency plan, optimize resource allocation logic and process time management, and generate emergency plan optimization results.

[0039] On the other hand, a dispatching management system based on a marine emergency plan is provided, which is applied to a dispatching management method based on a marine emergency plan, and the system includes:

[0040] The text information analysis module analyzes the maritime accident information based on the emergency handling request information, including extracting the keywords and the relationship between the keywords in the text of the request information, and generating key information extraction records;

[0041] The accident category analysis module uses the key information to extract records, analyze and identify the accident category of the target request information, and generate accident type identification information;

[0042] The urgency assessment module assesses the urgency of the accident based on the accident type identification information, combined with the environmental conditions of the accident and the accident scale information, matches the emergency plan for the target emergency processing request, and generates an emergency plan matching record;

[0043] The response process recording module records multiple execution processes of response activities in real time based on the emergency plan matching record, including resource allocation, resource use, start and end time points of multiple stages, and generates a marine accident response record;

[0044] The response efficiency analysis module monitors the resource usage and timeline data in the actual response process in real time based on the marine accident response record, calculates the response efficiency by analyzing the resource utilization and duration of multiple processing processes, and generates an efficiency score calculation result;

[0045] The plan process optimization module extracts and analyzes multiple accident response records of the target emergency plan based on the efficiency score calculation results, and revises and adjusts the emergency plan by identifying the key processes and improvement points that lead to inefficiency, thereby generating emergency plan optimization results.

[0046] The beneficial effects brought about by the technical solution provided by the embodiment of the present invention include at least:

[0047] Through accident type identification, combined with marine environmental conditions and accident types, accurate matching of emergency plans can be achieved, ensuring that resources are effectively utilized where they are most needed, improving the ability to handle sudden maritime accidents, recording the execution process of emergency plans in real time and scoring the execution efficiency, optimizing the traceability of the emergency response process, and providing a data basis for subsequent optimization. By analyzing and optimizing emergency plans, the response speed and quality to marine accidents can be improved, effectively reducing the damage caused by marine safety accidents. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0049] Figure 1 It is a schematic diagram of the workflow of the present invention;

[0050] Figure 2 This is a detailed flow chart of S1 of the present invention;

[0051] Figure 3 This is a detailed flow chart of S2 of the present invention;

[0052] Figure 4 This is a detailed flow chart of S3 of the present invention;

[0053] Figure 5 This is a detailed flow chart of S4 of the present invention;

[0054] Figure 6 This is a detailed flow chart of S5 of the present invention;

[0055] Figure 7 It is a system flow chart of the present invention. DETAILED DESCRIPTION

[0056] The technical solution of the present invention is described below in conjunction with the accompanying drawings.

[0057] In the embodiments of the present invention, words such as "exemplarily" and "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "example" in the present invention should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of the word "example" is intended to present the concept in a specific way. In addition, in the embodiments of the present invention, the meaning expressed by "and / or" can be both, or it can be either of the two.

[0058] In the embodiments of the present invention, "image" and "picture" can sometimes be used interchangeably. It should be noted that when the difference between them is not emphasized, the meanings they intend to express are the same. "of", "corresponding, relevant" and "corresponding" can sometimes be used interchangeably. It should be noted that when the difference between them is not emphasized, the meanings they intend to express are the same.

[0059] In the embodiments of the present invention, sometimes a subscript such as W1 may be written as a non-subscript such as W1. When the difference is not emphasized, the meanings to be expressed are the same.

[0060] In order to make the technical problems, technical solutions and advantages to be solved by the present invention more clear, a detailed description will be given below with reference to the accompanying drawings and specific embodiments.

[0061] The embodiment of the present invention provides a dispatching management method based on a marine emergency plan, such as Figure 1 The flow chart of the dispatching management method based on the marine emergency plan is shown, and the processing flow of the method may include the following steps:

[0062] S1: Based on the emergency handling request information, analyze the maritime accident information, extract the text content and detect multiple keywords, identify the category of the accident by analyzing the combination and contextual relationship of multiple keywords, and generate accident type identification information;

[0063] S2: Based on the accident type identification information, the urgency of the target accident is analyzed by considering the marine environmental conditions, accident type, accident scale, and occurrence time of the target accident location, and an emergency plan is matched for the target emergency processing request to generate an emergency plan matching record;

[0064] S3: Based on the emergency plan matching records, the execution process of the emergency plan is recorded in real time, including resource deployment and timeline information, and a marine accident response record is generated;

[0065] S4: Based on the marine accident response records, extract the time information and resource usage data of multiple processing processes in the response process, calculate the time consumption and resource utilization efficiency of multiple processes, calculate the response efficiency by comparing with the preset efficiency standards, and generate the efficiency score calculation results;

[0066] S5: Based on the efficiency score calculation results, by analyzing the execution records of the target emergency plan and analyzing multiple accident response processes, the efficiency bottlenecks and improvement points of the target emergency plan are identified, the target emergency plan is revised, and the emergency plan optimization results are generated.

[0067] The accident type identification information specifically includes accident category information, keyword extraction records, and accident scale information. The emergency plan matching records include urgency assessment results, accident location environmental conditions information, and plan adaptability scores. Marine accident response records include resource allocation lists, operation step sequence information, and accident response timeline information. The efficiency score calculation results specifically refer to the time-consuming information of multiple processing processes, resource utilization information, and efficiency comparison analysis results. The emergency plan optimization results specifically include efficiency bottleneck identification results, improvement point detection records, and plan revision results.

[0068] See also Figure 2 ,Based on the emergency handling request information, the maritime accident information is analyzed, the text content is extracted and multiple keywords are detected, and the category of the accident is identified by analyzing the combination and contextual relationship of multiple keywords. The specific steps for generating accident type identification information are as follows:

[0069] S101: Analyze the maritime accident information based on the emergency handling request information, extract the text content in the request information, identify keywords, and obtain a keyword identification list;

[0070] In sub-step S101, by receiving emergency handling request information from a ship or shore-based facility, text extraction is performed on the target request information. The process involves converting the received electronic data into a processable text format, and applying a keyword extraction algorithm in natural language processing technology, such as TF-IDF or TextRank, to identify keywords from the converted text. The target keywords involve information such as the type and location of the accident, and the materials involved. The identified keywords are organized into a list for subsequent dependency analysis and context frame generation. Each keyword in the list is assigned an identifier to facilitate tracking of its position and relevance in the text.

[0071] S102: Based on the keyword recognition list, detect the dependency relationship between multiple keywords, analyze the context framework of the accident, and generate a context relationship mapping record;

[0072] In sub-step S102, dependency grammar analysis is used to parse the relationship between words in the text. The generated keyword recognition list is used to detect the dependency relationship between the keywords in the list. Relying on specific algorithms such as the dependency parsing function of StanfordParser or SpaCy, a framework representing the context of the accident is constructed by parsing the structural relationship between the target keywords. The context framework is displayed in a graphical way, where each node represents a keyword and the lines between the nodes represent the dependency relationship between words, helping decision makers understand the interaction between the various elements and their possible impact when an accident occurs.

[0073] S103: Analyze and identify the accident category of the target request based on the context relationship mapping record, and generate accident type identification information;

[0074] In sub-step S103, by deploying text classification technology, such as support vector machine or decision tree analysis, the target relationship is analyzed to determine the specific category of the accident, such as collision, shipwreck or pollution incident. During the classification process, each category label is pre-defined in , and each label is associated with specific keywords and phrases. The text data is mapped to the target predefined category, the matching degree of each category is evaluated, and the category with the highest matching degree is selected as the accident type. The process relies on semantic analysis, combined with typical environmental data and historical accident data of the accident site, to enhance the accuracy of recognition.

[0075] See also Figure 3 ,Based on the accident type identification information, the marine environmental conditions, accident type, accident scale, and occurrence time of the target accident location are considered, the urgency of the target accident is analyzed, and the emergency plan is matched for the target emergency processing request. The specific steps for generating the emergency plan matching record are:

[0076] S201: Identify the marine environmental condition data of the accident location based on the accident type identification information, and evaluate the impact of the real-time marine environment on the severity of the accident in combination with the accident time, to obtain an environmental impact assessment result;

[0077] In sub-step S201, the location of the accident is obtained from the accident type identification information, and the marine environment database is accessed to extract real-time environmental data of the location, such as water temperature, current speed and weather conditions. The target data is collected in real time through environmental monitoring stations or satellite technology, and stored and queried through database management. The environmental impact assessment model is used. The model combines statistical analysis methods and historical data analysis to calculate the specific impact of environmental conditions on the severity of the accident. The model uses regression analysis technology to analyze the relationship between environmental variables such as wind speed and wave height and the severity of the accident. The calculated environmental impact assessment result is a comprehensive score, which indicates the severity of the impact of current environmental conditions on the accident, and provides decision support information for the emergency response team.

[0078] S202: Calculate the urgency score of the target accident based on the environmental impact assessment results and the accident scale information to generate an urgency score;

[0079] The specific formula for calculating the urgency score of the target incident is:

[0080]

[0081] Among them, E represents the urgency score, S represents the accident scale data, and W represents the S represents the accident scale weight, C represents the environmental condition data, WC represents the weight of environmental conditions, T represents the time information of the accident, and W T represents the time weight, which is adjusted according to the urgency of the accident time, R represents the risk assessment value related to the accident type, and W R represents the weight of the accident type, and D represents the distance factor, which indicates the distance from the accident site to the nearest emergency response center.

[0082] formula:

[0083]

[0084] Detailed explanation of the formula and the process of formula calculation and derivation:

[0085] The formula is used to calculate the urgency score of the incident, which reflects the speed of response and urgency of resource allocation required for the incident;

[0086] Parameter meaning and setting value:

[0087] S represents the accident scale data, assuming S = 3;

[0088] W S is the accident scale weight, assuming it is W S =0.3;

[0089] C represents the environmental condition data, assuming C = 2;

[0090] W C is the environmental condition weight, assuming it is W C =0.5;

[0091] T represents the time of the accident, assuming T = 1, indicating that the accident occurred at night;

[0092] W T is the time weight, assuming it is W T =0.2, the impact of the time of the accident on the complexity and difficulty of the response;

[0093] R represents the risk assessment value related to the accident type. Assuming it is an oil spill accident, R = 4;

[0094] W R is the accident type weight, assuming it is W R =0.7, reflecting the impact of accident type on the degree of urgency;

[0095] D represents the distance factor, assuming D = 10, which means the accident site is 10 kilometers away from the nearest emergency response center;

[0096] Substitute the parameters into the formula for calculation:

[0097]

[0098] The result 0.221 indicates that the urgency score of the target request is 0.221. The result is used to guide the resource allocation and time planning of the incident response and optimize the efficiency of the emergency response.

[0099] S203: Based on the urgency score and the accident type, an emergency plan is matched for the target request, and an emergency plan matching record is generated;

[0100] In sub-step S203, the severity of the accident and the impact of environmental factors are comprehensively considered, and emergency plans are matched through decision support. The decision tree algorithm is integrated, and weights are assigned to different preset emergency plans according to the accident type and urgency score. Accident types such as fire, oil pollution or medical emergencies are associated with specific plans. Each type has different processing procedures and resource requirements. According to the score and accident type, the adaptability score of each available plan is calculated, and the plan with the highest score is selected as the optimal plan for matching the target request. During the matching process, the current availability of resources and response time requirements are taken into account to ensure that the selected plan can respond to the current emergency situation quickly and effectively. The obtained emergency plan matching record records in detail the specific content of the selected plan, the expected resources and the expected response time.

[0101] See also Figure 4 ,Based on the emergency plan matching record, the execution process of the emergency plan is recorded in real time, including resource allocation and timeline information. The specific steps for generating marine accident response records are:

[0102] S301: Based on the emergency plan matching record, the start time and end time of multiple stages in the execution of the emergency plan are collected to obtain time node records;

[0103] In sub-step S301, the plan is executed and data is collected in real time. The event management module is deployed to automatically track each key stage of the emergency response and record the actual start and end time of each stage. During the process, the time management software is responsible for monitoring and recording time nodes to ensure the accuracy and real-time nature of all data. Each time node is accurately marked, including the initial mobilization of the emergency response, arrival at the scene, start of operation, end of operation and evacuation of the scene. The target time node records will be used to further analyze the timeliness and phased results of the emergency response. Through target records, the deviation between the actual response time and the time standard set by the plan can be evaluated, providing a basis for revising the plan and ensuring the efficiency and timeliness of the emergency response.

[0104] S302: Based on the time node records, record the resource allocation situation, including the allocation of rescue personnel, rescue equipment, and rescue materials, and generate resource allocation information;

[0105] In sub-step S302, a resource optimization algorithm such as linear programming or dynamic programming is used to automatically allocate rescue personnel, equipment and supplies. The algorithm takes into account multiple factors such as current resource inventory, expected rescue needs and logistics time to ensure that each resource is deployed according to the optimal path and time point. The allocation of each resource is recorded in real time in the resource allocation information, including the name and skill level of the rescuer, the model and quantity of various rescue equipment, and the type and expiration date of rescue supplies. The target information provides basic data for subsequent response efficiency analysis and resource utilization evaluation.

[0106] S303: Verify the integrity of the execution record based on the resource deployment information and generate a marine accident response record;

[0107] In sub-step S303, by analyzing the resource allocation information, the integrity of the response record is checked. Data integrity verification technology is used to check whether each link of the record complies with the preset emergency response process and resource allocation standards. The verification includes checking whether the timestamp of the resource allocation is consistent with the time node record, whether the rescue personnel and materials arrive at the designated location according to the plan, and whether the equipment usage is consistent with the plan. During the verification process, any deviation will be recorded in the abnormal report and an alarm will be triggered to prompt the management personnel to intervene. After completing this verification, the marine accident response record is generated. The target record describes in detail each key step in the entire accident handling process, providing complete data support for future accident analysis and plan revisions.

[0108] See also Figure 5 Based on the marine accident response records, the time information and resource usage data of multiple processing processes in the response process are extracted, the time consumption and resource utilization efficiency of multiple processes are calculated, and the response efficiency is calculated by comparing with the preset efficiency standards. The specific steps for generating the efficiency score calculation results are as follows:

[0109] S401: based on the marine accident response record, extract the time information of multiple processing flows in the execution process, calculate the duration of multiple processing flows, and obtain the time-consuming information of the processing flows;

[0110] In sub-step S401, specific time information about each stage of the rescue operation is extracted from the marine accident response record, including the start and end time of each stage. The actual duration of each processing flow is automatically calculated by comparing the timestamps of multiple stages using time management software. The duration information of each stage is recorded to form a database of time-consuming information of the processing flow. The database not only records the duration of each rescue mission, but also includes the specific date and time when the mission occurs, ensuring the accuracy and traceability of the time data. Through the detailed time records of the target, the time efficiency of each stage in the rescue operation can be analyzed, providing key data for optimizing future response strategies.

[0111] S402: Analyze resource usage efficiency of multiple processes based on the time-consuming information of the processing process and the resource usage information to obtain resource usage efficiency data;

[0112] In sub-step S402, the resource utilization efficiency is analyzed in combination with the resource utilization in the resource allocation record. The analysis is performed through resource management software, using efficiency evaluation tools to automatically calculate resource utilization. The resource utilization in each processing flow includes the utilization of manpower, equipment and materials. The software calculates the resource utilization by evaluating the time and quantity of target resource usage. The target data reflects the efficiency of resource utilization at different rescue stages, helps identify possible overuse or shortage of resources, and any factors that may affect rescue efficiency. This method can optimize resource allocation and improve the overall efficiency of future emergency responses.

[0113] S403: Based on the resource utilization efficiency data, by comparing with the preset efficiency standards, calculating efficiency scores for multiple processing processes, evaluating the execution efficiency of the target emergency plan, and generating efficiency score calculation results;

[0114] The specific formula for evaluating the execution efficiency of the target emergency plan is:

[0115]

[0116] Where P is the calculated comprehensive efficiency score of each process, N is the total number of processes, i is the index of the process, and H i is the actual time consumption of the ith process, H std is the preset time standard, U H is the time-consuming weight coefficient, V i is the resource utilization rate of the ith process, V std is the preset resource utilization standard, U V is the weight coefficient of resource utilization, K i is the cost of the ith process, K std is the preset cost standard, U K is the weight coefficient of cost.

[0117] formula:

[0118]

[0119] Detailed explanation of the formula and the process of formula calculation and derivation:

[0120] The formula is used to calculate the execution efficiency score of the target emergency plan. The result reflects the execution efficiency of different processing processes relative to the preset standard and guides the optimization and adjustment of the emergency plan.

[0121] Parameter meaning and setting value:

[0122] H i Indicates the actual time consumption of a process, assuming H1=120, H2=130, H3=110;

[0123] H std It is the preset time standard, assuming that the standard time is 100 minutes;

[0124] U H is the weight coefficient of time consumption, assumed to be 0.5;

[0125] V i Indicates the resource utilization rate of the process, assuming V1 = 0.75, V2 = 0.65, V3 = 0.80;

[0126] V std It is the preset resource utilization rate standard, assuming that the standard utilization rate is 0.8;

[0127] U V is the weight coefficient of resource utilization, assumed to be 0.3;

[0128] K i Indicates the cost of the process, assuming K1 = 2000, K2 = 2200, K3 = 1800;

[0129] K std is the preset cost standard, assuming it is 2500;

[0130] U K is the weight coefficient of cost, assumed to be 0.2;

[0131] Substitute the parameters into the formula for calculation:

[0132]

[0133] P1=(1.2·0.5+0.9375·0.3+0.8·0.2)=0.6+0.28125+0.16=1.04125;

[0135] P2=(1.3·0.5+0.8125·0.3+0.88·0.2)=0.65+0.24375+0.176=1.06975;

[0137] P3=(1.1·0.5+1.0·0.3+0.72·0.2)=0.55+0.3+0.144=0.994;

[0138]

[0139] The result of 1.035 indicates that the execution efficiency score of the target emergency plan is 1.035, reflecting the comprehensive execution efficiency relative to the standard setting. The results are used to further analyze and optimize the emergency plan, including adjusting resource allocation and time management strategies.

[0140] See also Figure 6 Based on the efficiency score calculation results, by analyzing the execution records of the target emergency plan and analyzing multiple accident response processes, the efficiency bottlenecks and improvement points of the target emergency plan are identified, and the target emergency plan is revised. The specific steps for generating the emergency plan optimization results are as follows:

[0141] S501: Based on the efficiency score calculation result, extract and analyze the execution records of the target emergency plan in multiple accident responses, including response time, execution efficiency, and resource usage, and generate execution record extraction results;

[0142] In sub-step S501, data analysis software is used to process and analyze rescue operation data. The execution records of each accident response are extracted, including response time, execution efficiency and resource usage, including all records of related accidents exported from the database. Statistical analysis tools such as regression analysis and variance analysis are used to evaluate the time efficiency of each accident handling process and the rationality of resource allocation. The data of each accident is recorded in detail, including the time from the start to the end of the rescue operation, the amount of manpower and materials invested, and the efficiency of their use. Once the target data is analyzed, the execution record extraction results are formed, which provides an empirical basis for subsequent efficiency improvement work.

[0143] S502: Analyze the execution record extraction results, identify the key processes that cause low efficiency by analyzing the time delays and resource waste of multiple execution processes in the target plan, and mark improvement points to obtain efficiency bottleneck identification results;

[0144] In the efficiency bottleneck identification sub-step, by analyzing the execution record extraction results, the time delay and resource utilization of each process are reviewed, including the actual time consumption and resource consumption of multiple processes, and the preset process efficiency standards, according to the formula: Calculate the efficiency index of each process and identify the processes whose efficiency is below the preset threshold to identify efficiency bottlenecks;

[0145] In the formula, E i is the efficiency index of the target process, t i represents the actual time consumed by the ith process, R i represents the resource usage of the ith process, S i represents the efficiency standard of the i-th process, where i is the index of the process;

[0146] Detailed explanation of the formula and the process of formula calculation and derivation:

[0147] Assume that in the target incident response record, the actual time taken by the first process is 120 minutes, the resource usage is 30 units, and the efficiency standard is 0.5. Calculate E1:

[0148]

[0149] The results show that the efficiency index of the first process is 8. Assuming the efficiency threshold is 5, it indicates that the process is too inefficient and needs to be adjusted. By analyzing the efficiency values ​​of all processes, inefficient processes are identified and marked as improvement points. The calculation process is used to identify inefficient key processes and obtain efficiency bottleneck identification results.

[0150] S503: Based on the efficiency bottleneck identification results, adjust and revise the target emergency plan, optimize resource allocation logic and process time management, and generate emergency plan optimization results;

[0151] In sub-step S503, process optimization software is used to redesign and adjust the key processes of rescue operations, helping managers adjust the allocation of manpower and materials based on the results of efficiency bottleneck identification and optimize the time management of rescue operations. For example, if the analysis shows that a rescue stage is delayed due to improper equipment scheduling, it will be recommended to add spare equipment or adjust the equipment scheduling strategy at that stage. Through target adjustment, the target emergency plan is optimized in terms of resource allocation logic and process time management, generating emergency plan optimization results to ensure that future accident responses can be faster and more efficient.

[0152] See also Figure 7 , a dispatching and management system based on a marine emergency plan, the dispatching and management system based on a marine emergency plan is used to execute the above-mentioned dispatching and management method based on a marine emergency plan, and the system includes:

[0153] The text information analysis module analyzes the maritime accident information based on the emergency handling request information, including extracting the keywords and the relationship between the keywords in the text of the request information, and generating key information extraction records;

[0154] The accident category analysis module uses key information to extract records, analyze and identify the accident category of the target request information, and generate accident type identification information;

[0155] The urgency assessment module assesses the urgency of the accident based on the accident type identification information, combined with the environmental conditions and scale of the accident, and matches the emergency plan for the target emergency handling request, generating an emergency plan matching record;

[0156] The response process recording module records multiple execution processes of response activities in real time based on emergency plan matching records, including resource allocation, resource use, start and end time points of multiple stages, and generates marine accident response records;

[0157] The response efficiency analysis module monitors the resource usage and timeline data in the actual response process in real time based on the marine accident response records. It calculates the response efficiency and generates efficiency score calculation results by analyzing the resource utilization and duration of multiple processing processes.

[0158] The plan process optimization module extracts and analyzes multiple accident response records of the target emergency plan based on the efficiency score calculation results, and revises and adjusts the emergency plan by identifying the key processes and improvement points that lead to inefficiency, generating emergency plan optimization results.

[0159] The above embodiments can be implemented in whole or in part by software, hardware (such as circuits), firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present invention is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center by wired (such as infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a tape), an optical medium (for example, a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0160] It should be understood that the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. A and B can be singular or plural. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship, but it may also indicate an "and / or" relationship. Please refer to the context for specific understanding.

[0161] In the present invention, "at least one" means one or more, and "more than one" means two or more. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c can be represented by: a, b, c, ab, ac, bc, or abc, where a, b, c can be single or multiple.

[0162] It should be understood that in various embodiments of the present invention, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0163] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0164] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described equipment, devices and units can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0165] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, apparatuses and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0166] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0167] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0168] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0169] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A dispatching management method based on marine emergency plans, characterized in that: The method comprises: Based on the emergency handling request information, analyze the maritime accident information, extract the text content and detect multiple keywords. By analyzing the combination and contextual relationship of multiple keywords, identify the category of the accident and generate accident type identification information; Based on the accident type identification information, the urgency of the target accident is analyzed by considering the marine environmental conditions, accident type, accident scale, and occurrence time of the target accident location, and an emergency plan is matched for the target emergency processing request to generate an emergency plan matching record; Based on the emergency plan matching record, the execution process of the emergency plan is recorded in real time, including resource deployment and timeline information, and a marine accident response record is generated; Based on the marine accident response record, extract the time information and resource usage data of multiple processing processes in the response process, calculate the time consumption and resource usage efficiency of multiple processes, calculate the response efficiency by comparing with the preset efficiency standard, and generate the efficiency score calculation result; Based on the efficiency score calculation results, by analyzing the execution records of the target emergency plan and analyzing multiple accident response processes, the efficiency bottlenecks and improvement points of the target emergency plan are identified, the target emergency plan is revised, and the emergency plan optimization results are generated.

2. The dispatching management method based on the marine emergency plan according to claim 1 is characterized in that: The accident type identification information specifically includes accident category information, keyword extraction records, and accident scale information; the emergency plan matching records include urgency assessment results, accident location environmental conditions information, and plan adaptability scores; the marine accident response records include resource allocation lists, operation step sequence information, and accident response timeline information; the efficiency score calculation results specifically refer to the time-consuming information of multiple processing processes, resource utilization information, and efficiency comparison analysis results; the emergency plan optimization results specifically include efficiency bottleneck identification results, improvement point detection records, and plan revision results.

3. The dispatching management method based on the marine emergency plan according to claim 1 is characterized in that: Based on the emergency handling request information, the maritime accident information is analyzed, the text content is extracted and multiple keywords are detected, and the category of the accident is identified by analyzing the combination and contextual relationship of multiple keywords. The specific steps for generating accident type identification information are as follows: Based on the emergency handling request information, analyze the maritime accident information, extract the text content in the request information, identify keywords, and obtain a keyword recognition list; Based on the keyword recognition list, detect the dependency relationship between multiple keywords, analyze the context framework of the accident, and generate a context relationship mapping record; Based on the context relationship mapping record, the accident category of the target request is analyzed and identified, and accident type identification information is generated.

4. The dispatching management method based on the marine emergency plan according to claim 1 is characterized in that: Based on the accident type identification information, the urgency of the target accident is analyzed by considering the marine environmental conditions, accident type, accident scale, and occurrence time of the target accident location, and an emergency plan is matched for the target emergency processing request. The steps of generating an emergency plan matching record are specifically as follows: According to the accident type identification information, identify the marine environmental condition data of the accident location, combine the time of the accident, evaluate the impact of the real-time marine environment on the severity of the accident, and obtain the environmental impact assessment result; Calculate the urgency score of the target accident based on the environmental impact assessment results and the accident scale information to generate an urgency score; Based on the urgency score and in combination with the accident type, an emergency plan is matched for the target request, and an emergency plan matching record is generated.

5. The dispatching management method based on the marine emergency plan according to claim 4 is characterized in that: The specific formula for calculating the urgency score of the target accident is: Among them, E represents the urgency score, S represents the accident scale data, and W S represents the accident scale weight, C represents the environmental condition data, W C represents the weight of environmental conditions, T represents the time information of the accident, and W T represents the time weight, which is adjusted according to the urgency of the accident time, R represents the risk assessment value related to the accident type, and W R represents the weight of the accident type, and D represents the distance factor, which indicates the distance from the accident site to the nearest emergency response center.

6. The dispatching management method based on the marine emergency plan according to claim 1 is characterized in that: Based on the emergency plan matching record, the execution process of the emergency plan is recorded in real time, including resource allocation and timeline information, and the steps of generating a marine accident response record are specifically as follows: Based on the emergency plan matching record, the start time and end time of multiple stages in the execution of the emergency plan are collected to obtain time node records; Based on the time node records, record the resource allocation situation, including the allocation of rescue personnel, rescue equipment, and rescue materials, and generate resource allocation information; Based on the resource deployment information, the integrity of the execution record is verified to generate a marine accident response record.

7. The dispatching management method based on the marine emergency plan according to claim 1 is characterized in that: Based on the marine accident response record, the time information and resource usage data of multiple processing processes in the response process are extracted, the time consumption and resource usage efficiency of multiple processes are calculated, and the response efficiency is calculated by comparing with the preset efficiency standard. The specific steps of generating the efficiency score calculation result are as follows: Based on the marine accident response record, extract the time information of multiple processing flows during the execution process, calculate the duration of the multiple processing flows, and obtain the time-consuming information of the processing flows; Based on the processing flow time-consuming information, through the resource usage information, analyzing the resource usage efficiency of multiple processes to obtain resource usage efficiency data; Based on the resource utilization efficiency data, by comparing with preset efficiency standards, efficiency scores are calculated for multiple processing processes, the execution efficiency of the target emergency plan is evaluated, and efficiency score calculation results are generated.

8. The dispatching management method based on the marine emergency plan according to claim 7 is characterized in that: The specific formula for evaluating the execution efficiency of the target emergency plan is: Where P is the calculated comprehensive efficiency score of each process, N is the total number of processes, i is the index of the process, and H i is the actual time consumption of the ith process, H std is the preset time standard, U H is the time-consuming weight coefficient, V i is the resource utilization rate of the ith process, V std is the preset resource utilization standard, U V is the weight coefficient of resource utilization, K i is the cost of the ith process, K std is the preset cost standard, U K is the weight coefficient of cost.

9. The dispatching management method based on the marine emergency plan according to claim 1 is characterized in that: Based on the efficiency score calculation results, by analyzing the execution records of the target emergency plan and analyzing multiple accident response processes, the efficiency bottlenecks and improvement points of the target emergency plan are identified, and the target emergency plan is revised. The steps for generating the emergency plan optimization results are as follows: Based on the efficiency score calculation results, extract and analyze the execution records of the target emergency plan in multiple accident responses, including response time, execution efficiency, and resource usage, and generate execution record extraction results; Analyze the execution record extraction results, identify the key processes that lead to inefficiency by analyzing the time delays and resource waste of multiple execution processes in the target plan, and mark improvement points to obtain efficiency bottleneck identification results; Based on the efficiency bottleneck identification results, adjust and revise the target emergency plan, optimize resource allocation logic and process time management, and generate emergency plan optimization results.

10. The dispatching and management system based on the marine emergency plan is characterized by: According to the dispatching management method based on the marine emergency plan according to any one of claims 1 to 9, the system comprises: The text information analysis module analyzes the maritime accident information based on the emergency handling request information, including extracting the keywords and the relationship between the keywords in the text of the request information, and generating key information extraction records; The accident category analysis module uses the key information to extract records, analyze and identify the accident category of the target request information, and generate accident type identification information; The urgency assessment module assesses the urgency of the accident based on the accident type identification information, combined with the environmental conditions of the accident and the accident scale information, matches the emergency plan for the target emergency processing request, and generates an emergency plan matching record; The response process recording module records multiple execution processes of response activities in real time based on the emergency plan matching record, including resource allocation, resource use, start and end time points of multiple stages, and generates a marine accident response record; The response efficiency analysis module monitors the resource usage and timeline data in the actual response process in real time based on the marine accident response record, calculates the response efficiency by analyzing the resource utilization and duration of multiple processing processes, and generates an efficiency score calculation result; The plan process optimization module extracts and analyzes multiple accident response records of the target emergency plan based on the efficiency score calculation results, and revises and adjusts the emergency plan by identifying the key processes and improvement points that lead to inefficiency, thereby generating emergency plan optimization results.

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