Emergency drill evaluation system and method based on digital twin airport oil depot

Abstract

The invention belongs to the field of digital twin technology and emergency management systems, and particularly relates to an emergency drill evaluation system and method based on a digital twin airport oil depot, and the system comprises a data acquisition and management module, an emergency drill scheme management module, an oil depot twin environment construction module, a simulation deduction module, and a comprehensive analysis and evaluation module. According to the emergency drill evaluation system and method based on the digital twin airport oil depot, through a multi-dimensional evaluation index system constructed by a comprehensive analysis and evaluation module, and in combination with an analytic hierarchy process and a fuzzy comprehensive evaluation method, a drill effect is quantitatively evaluated from multiple aspects of emergency response speed, resource utilization efficiency, loss control degree and the like; various problems in the drilling process can be deeply analyzed, the generated assessment report not only comprises detailed problem analysis, but also provides targeted improvement suggestions, and meanwhile, historical data and industry standards can be compared, so that assessment is more scientific and accurate, and powerful support is provided for emergency management decision making.

Description

Technical Field

[0001] The present invention relates to the technical field of digital twin technology and emergency management system, and specifically to an emergency drill evaluation system and method for an airport oil depot based on a digital twin. Background Art

[0002] Civilian airport oil depots, as the nexus for the storage, supply, and transportation of refined oil products, are the foundation of the nation's refined oil reserves and supply, and are crucial for safeguarding national security and promoting high-quality economic development. However, common accidents at airport oil depots (such as leaks, fires, and environmental pollution) are sudden, highly hazardous, and difficult to handle, easily resulting in casualties, property damage, and significant environmental pollution.

[0003] With the rapid development of the aviation industry, the safe operation of airport fuel depots, as key facilities for the storage and supply of aviation fuel, is crucial. Traditional emergency drills for airport fuel depots have numerous drawbacks. For example, drill scenarios are often based on fixed assumptions, making it difficult to simulate complex, real-world accident scenarios. The evaluation process often relies on manual experience and lacks a scientific, quantitative indicator system, resulting in inaccurate and incomplete evaluation results. Emergency plans are not updated in a timely manner, making them unable to quickly adapt to new risks and changes. To address these issues, we propose an emergency drill evaluation system and method for airport fuel depots based on digital twins. Summary of the Invention

[0004] The main purpose of the present invention is to provide a digital twin airport oil depot emergency drill evaluation system and method, which can solve the problems raised in the above background technology.

[0005] To achieve the above objectives, the present invention proposes an emergency drill evaluation system for an airport oil depot based on a digital twin, comprising:

[0006] The data acquisition and management module connects to oil depot sensors and external systems through multiple data interfaces to obtain static basic data and real-time dynamic data, cleans, stores and regularly updates the data to provide data support for system operation;

[0007] The emergency drill plan management module is responsible for importing emergency drill plans in various formats, reviewing, versioning, searching, and sharing plans based on permissions, thus achieving full life cycle management of plans.

[0008] The oil depot twin environment construction module uses GIS and BIM technologies to build a 3D geographic and architectural model of the oil depot, associates real-time data with the model to dynamically update the model, and optimizes the model based on actual and simulated data;

[0009] The simulation module sets various emergency scenarios and parameters based on the digital twin model and drill plan, uses simulation algorithms to simulate accident development and response, supports real-time parameter adjustment, analyzes simulation results, and generates visual reports;

[0010] The comprehensive analysis and evaluation module constructs a multi-dimensional evaluation index system, uses the hierarchical analysis method and fuzzy comprehensive evaluation method to evaluate the effectiveness of the drill, and generates an evaluation report containing questions and suggestions. It can compare historical and industry data and predict the development trend of emergency response capabilities.

[0011] Preferably, the data acquisition and management module includes a data acquisition subunit, a data processing subunit, and a data storage subunit. The data acquisition subunit collects oil tank operation data such as oil tank level, pressure, temperature, etc. through sensors, and obtains meteorological, geographic information and other data through external interfaces. The data processing subunit performs cleaning operations such as denoising and format unification on the collected data, and converts it into a data format that can be recognized by the system. The data storage subunit uses a relational database to store data and sets an update task every 15 minutes.

[0012] Preferably, the emergency drill plan management module includes a plan import subunit, a plan review subunit, a plan audit subunit, a plan review subunit, and a plan sharing subunit. The plan import subunit supports the import of files in formats such as PDF, DOCX, and XLSX, and uses optical character recognition and natural language processing technology to extract key information of the plan. The plan review subunit reviews the compliance and rationality of the plan based on the audit rule library containing the Civil Aviation Administration's emergency management specifications and oil depot safety operation standards. The plan review subunit records the plan modification history in increments of version numbers and supports historical version backtracking. The plan review subunit supports retrieval based on multiple conditions such as drill type, time range, and importance. The plan sharing subunit realizes hierarchical secure sharing of plans by setting user role permissions.

[0013] Preferably, the oil depot twin environment construction module includes a model construction subunit, a data mapping subunit, and a model optimization subunit. The model construction subunit uses the GIS platform and adopts AIS Ware AI Map technology to construct a three-dimensional geographic model of the oil depot, and uses BIM technology to construct building and equipment models. The data mapping subunit uses time and space alignment technology to accurately associate real-time data with model elements to achieve dynamic model updates. The model optimization subunit optimizes model parameters and structures based on the actual operation data and simulation results of the oil depot.

[0014] Preferably, the simulation deduction module includes a simulation scene setting subunit, a simulation algorithm application subunit, a simulation parameter adjustment subunit, and a simulation result analysis subunit. The simulation scene setting subunit supports customized emergency scenarios such as fire, leakage, explosion, and influencing parameters such as weather and time. The simulation algorithm application subunit integrates Monte Carlo simulation and multi-agent simulation algorithm to simulate the development of accidents and the collaborative decision-making behavior of rescue entities. The simulation parameter adjustment subunit supports real-time modification of parameters such as the timing of rescue force deployment and equipment performance during the deduction. The simulation result analysis subunit statistically analyzes the deduction data, sets a threshold warning function, automatically marks data that exceeds safety indicators, and generates visual reports containing indicators such as emergency response time and resource utilization.

[0015] Preferably, the comprehensive analysis and evaluation module includes an evaluation index system construction subunit, an evaluation method application subunit, an evaluation report generation subunit, a comparative analysis subunit, and a trend prediction subunit. The evaluation index system construction subunit constructs an evaluation index system including dimensions such as emergency response speed, resource utilization efficiency, and loss control degree. The evaluation method application subunit uses the hierarchical analysis method to determine the indicator weights and combines the fuzzy comprehensive evaluation method to evaluate the exercise effect. The evaluation report generation subunit uses a visual template to generate an evaluation report containing the basic situation of the exercise, evaluation index scores, problem analysis and improvement suggestions. The comparative analysis subunit can compare historical exercise data and industry standards. The trend prediction subunit predicts the development trend of emergency capabilities through a time series algorithm.

[0016] Preferably, the review rule base of the emergency drill plan management module includes the Civil Aviation Administration's emergency management specifications and oil depot safety operation standards.

[0017] Preferably, the visualization template of the evaluation report generation subunit supports the combined display of charts and text, and the chart types include line charts, bar charts, and heat maps.

[0018] Preferably, the system architecture is layered, including a data layer (data acquisition and management module), a model layer (oil depot twin environment construction module and simulation deduction module), an application layer (emergency drill plan management module and comprehensive analysis and evaluation module) and a user interface layer.

[0019] The present invention proposes a method for emergency drill evaluation based on a digital twin airport oil depot, comprising the following steps:

[0020] S1. Data collection and preprocessing: Oil depot data is collected through sensors and external systems, and stored in the data warehouse after cleaning and format conversion;

[0021] S2. Model construction: Use GIS and BIM technology to build a digital twin model, establish data mapping relationships and dynamically update;

[0022] S3. Plan management: Develop drill plans and import them into the system, complete review, version control, and authority allocation;

[0023] S4. Simulation and deduction: Set scenario parameters based on the model and solution, use algorithms to deduce and adjust parameters in real time;

[0024] S5. Evaluation and Optimization: Generate reports based on the evaluation indicator system and methods, and optimize plans and emergency management measures based on the recommendations.

[0025] The present invention provides a system and method for evaluating emergency drills for oil depots at digital twin airports. This system has the following beneficial effects:

[0026] (1) This digital twin-based airport oil depot emergency drill assessment system and method utilizes digital twin technology. The three-dimensional geographic and architectural model of the oil depot constructed by the present invention can highly reproduce the actual scene of the oil depot. Through real-time data dynamic updates, it ensures that the drill environment closely matches the actual situation. The simulation deduction module can simulate a variety of complex emergency scenarios. Combining Monte Carlo simulation with multi-agent simulation algorithms, it makes the simulation of accident development and rescue collaborative decision-making more realistic, providing a reliable basis for drills.

[0027] (2) This digital twin airport oil depot emergency drill evaluation system and method uses a multi-dimensional evaluation index system constructed through comprehensive analysis and evaluation modules, combined with the hierarchical analysis method and fuzzy comprehensive evaluation method to quantitatively evaluate the drill effect from multiple aspects such as emergency response speed, resource utilization efficiency, and loss control degree. The generated evaluation report not only includes a detailed problem analysis, but also provides targeted improvement suggestions. At the same time, it can be compared with historical data and industry standards, making the evaluation more scientific and accurate, and providing strong support for emergency management decision-making.

[0028] (3) The emergency drill evaluation system and method based on the digital twin airport oil depot realizes the full life cycle management of the plan through the emergency drill plan management module, from import and review to version management, retrieval and sharing, to ensure the scientificity and standardization of the plan. Different departments can share the plan based on authority to promote collaborative work. Through the evaluation and optimization link, the plan is optimized in a targeted manner based on the evaluation report, and the emergency management measures are continuously improved to enhance the overall emergency response capability of the airport oil depot.

[0029] (4) The hierarchical system architecture of the digital twin airport oil depot emergency drill assessment system and method makes the division of labor among modules clear, and the data layer, model layer, application layer and user interface layer work together, which improves the maintainability and scalability of the system. The user interface layer provides a friendly interactive interface, and the assessment report generation subunit supports the combination of charts and text to facilitate user operation and viewing of results, lower the threshold for use, and improve work efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. 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 the structures shown in these drawings without paying any creative work.

[0031] Figure 1 This is a schematic diagram of the overall module of the system of the present invention;

[0032] Figure 2 This is a schematic diagram of some module structures of the present invention Figure 1 ;

[0033] Figure 3 This is a schematic diagram of some module structures of the present invention Figure 2 ;

[0034] Figure 4 This is a schematic diagram of some module structures of the present invention Figure 3 ;

[0035] Figure 5 This is a schematic diagram of some module structures of the present invention Figure 4 ;

[0036] Figure 6 This is a schematic diagram of some module structures of the present invention Figure 5 ;

[0037] Figure 7 Schematic diagram of the steps of the method of the present invention;

[0038] Figure 8 It is the information interaction table of the present invention.

[0039] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings and in conjunction with the embodiments. DETAILED DESCRIPTION

[0040] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0041] See also Figures 1-8The present invention proposes an emergency drill evaluation system based on a digital twin airport oil depot, including a data acquisition and management module, an emergency drill plan management module, an oil depot twin environment construction module, a simulation and deduction module, and a comprehensive analysis and evaluation module. The data acquisition and management module connects the oil depot sensors and external systems through a variety of data interfaces to obtain static basic data and real-time dynamic data, cleans, stores and regularly updates the data, and provides data support for system operation. The module obtains operating data such as oil tank liquid level and external data such as meteorology to provide comprehensive and accurate information for subsequent links. The emergency drill plan management module is responsible for importing emergency drill plans in various formats, reviewing, versioning, retrieving and sharing the plans based on permissions, and realizing full life cycle management of the plans. This module ensures orderly management of different plans and promotes departmental collaboration.

[0042] Furthermore, the oil depot twin environment construction module uses GIS and BIM technology to construct a three-dimensional geographic and architectural model of the oil depot, associates real-time data with the model to dynamically update the model, and optimizes the model based on actual and simulation data. With the help of advanced technology, the model is constructed to reflect the status of the oil depot in real time and continuously optimize. The simulation deduction module is based on the digital twin model and the drill plan, sets a variety of emergency scenarios and parameters, uses simulation algorithms to simulate the development and response of accidents, supports real-time adjustment of parameters, analyzes the deduction results and generates visual reports, can simulate complex scenarios, and the algorithm makes the simulation more realistic, and the report facilitates intuitive understanding of the situation. The comprehensive analysis and evaluation module constructs a multi-dimensional evaluation index system, uses the hierarchical analysis method and the fuzzy comprehensive evaluation method to evaluate the effect of the drill, and generates an evaluation report containing problems and suggestions. It can compare historical and industry data, and predict the development trend of emergency capabilities. The scientific evaluation system and methods provide decision support for emergency management.

[0043] Other emergency scenarios may include:

[0044] 1. Fire scene:

[0045] This simulates a fire in an oil tank within an oil depot caused by a lightning strike, electrical failure, or human error. Starting as a small flame, the fire quickly spreads, potentially threatening surrounding oil tanks and triggering a chain reaction. In this situation, the system must respond quickly, activating the firefighting system, including water monitors and foam extinguishing devices. It also requires evacuating personnel from the surrounding area and promptly notifying external firefighting forces for support. In this scenario, the evaluation system monitors indicators such as the activation time of firefighting equipment, firefighting effectiveness (e.g., fire control time and extinguishing time), evacuation speed, and safety.

[0046] 2. Oil leakage scenario:

[0047] Suppose an oil pipeline ruptures due to corrosion, external damage, or other factors, resulting in a massive oil leak. The leaked oil could spread across the ground and flow into the stormwater network, polluting the surrounding environment. Emergency drills should address this scenario, including leak source containment, oil recovery, and cleanup of the contaminated area. The assessment focuses on indicators such as the time of leak discovery, the timeliness and effectiveness of leak control measures, the amount of oil recovered, and the extent of contamination control.

[0048] 3. Earthquake disaster scenario:

[0049] A simulated earthquake causes varying degrees of damage to oil depot buildings, facilities, and tank foundations. Tanks may tilt, crack, or even collapse, potentially causing secondary hazards such as oil leaks and fires. During the emergency drill, personnel will conduct an emergency assessment of damaged facilities and carry out emergency repairs while ensuring the supply of emergency supplies and personnel safety. Evaluation metrics include the time it takes to initiate the emergency response after the earthquake, the accuracy of damage assessments, the progress and effectiveness of repairs, and the timely delivery of emergency supplies.

[0050] 4. Terrorist attack scene:

[0051] Imagine that criminals launch a terrorist attack on an airport oil depot, such as explosions and arson, causing serious damage to the depot facilities and casualties. In this scenario, emergency drills need to focus on testing the implementation of anti-terrorism and riot control emergency plans, including the security force's rapid response capabilities, its ability to coordinate with external forces such as the police, and the efficiency of treating the wounded. Evaluation indicators include the time it takes to discover the terrorist attack, the time it takes for security forces to arrive at the scene, the degree of coordination with external forces, and the success rate of treating the wounded.

[0052] Additional evaluation indicators may include:

[0053] 1. Emergency response speed:

[0054] The time interval from receiving the accident signal to the initiation of emergency rescue operations, accurate to the second. For example, in a fire scenario, the time from when the sensor detects excessive smoke concentration and issues an alarm to when the fire emergency team receives notification and begins preparing to depart for the fire scene is recorded.

[0055] The connection time between each emergency rescue link, such as the time for personnel assembly and equipment deployment, etc. Taking the leakage scenario as an example, record the time from the discovery of the oil leak to the transportation of emergency plugging equipment to the leak site and preparation for operation.

[0056] 2. Resource utilization efficiency:

[0057] The utilization rate of emergency supplies is calculated by calculating the ratio of the actual amount of supplies used to the total amount of supplies in stock. For example, in firefighting, the ratio of the actual number of fire extinguishers, fire hoses, and other supplies consumed to the total amount of those supplies in stock in the warehouse is calculated.

[0058] The utilization rate of rescue equipment is measured by the ratio of the equipment's actual operating time to the total drill duration. For example, in a simulated explosion rescue operation, the ratio of the actual operating time of large rescue equipment such as cranes and excavators to the total drill duration is calculated.

[0059] 3. Loss control level:

[0060] The virtual economic loss assessment caused by the simulated accident, including direct economic losses (such as the value of equipment damage, oil leakage losses, etc.) and indirect economic losses (such as loss of income due to production suspension, etc.), is quantified in monetary terms.

[0061] Environmental pollution control is assessed through monitoring data on the scope of pollution spread and degree of pollution under simulated leakage scenarios, such as by using indicators such as contaminated area and pollutant concentration.

[0062] 4. Personnel operation standardization:

[0063] Participants' familiarity with emergency procedures is assessed based on the correct execution rate of operational steps. For example, during firefighting operations, the assessment is conducted to determine whether the operator follows the correct firefighting posture, fire extinguisher usage, and other steps, and the percentage of correct steps compared to the total number of steps is calculated.

[0064] The implementation of safety protection measures, whether the inspection personnel correctly wear personal protective equipment (such as helmets, fire-resistant clothing, gas masks, etc.) during the drill, and the correct wearing rate is used as the evaluation indicator.

[0065] 5. Ability to collaborate:

[0066] The timeliness and accuracy of information transmission between different emergency rescue teams, including statistics on the number of information transmission errors and the average information transmission time. For example, in fire rescue, statistics are collected on the number of errors in the command information transmitted by the command center to the firefighting team, evacuation team, etc., as well as the average time it takes for the information to be received and confirmed by each team from the command center.

[0067] The connection time between each team when performing rescue tasks can be observed to confirm their degree of collaboration and tacit understanding. Qualitative assessments can be made by observing the smoothness of action coordination between teams and the closeness of task connection. For example, in a scenario where an earthquake damages oil depot facilities, the coordination between the emergency rescue team and the material support team in the equipment maintenance and material supply process can be observed.

[0068] Furthermore, the data acquisition and management module includes a data acquisition subunit, a data processing subunit, and a data storage subunit. The data acquisition subunit collects oil depot operation data such as tank level, pressure, and temperature through sensors, and obtains meteorological and geographic information data through external interfaces. The data processing subunit performs cleaning operations such as denoising and format unification on the collected data, and converts it into a data format that the system can recognize. The data storage subunit uses a relational database to store data and sets an update task every 15 minutes. The data acquisition subunit is responsible for comprehensively collecting data on the oil depot operation and external environment to provide materials for subsequent processing. The data processing subunit cleans and converts the format of the collected raw data to ensure data quality and availability. The data storage subunit uses a relational database for data storage and sets regular update tasks to ensure the timeliness and consistency of the data.

[0069] Furthermore, the emergency drill plan management module includes a plan import subunit, a plan review subunit, a plan audit subunit, a plan review subunit, and a plan sharing subunit. The plan import subunit supports importing files in formats such as PDF, DOCX, and XLSX, and uses optical character recognition and natural language processing to extract key plan information. The plan review subunit reviews the plan's compliance and rationality based on an audit rule base that includes the Civil Aviation Administration's emergency management regulations and oil depot safety operation standards. The plan review subunit records plan modification history in increments of version numbers and supports backtracking. The plan review subunit supports search based on multiple criteria, such as drill type, time range, and importance. The plan sharing subunit enables secure sharing of plans at different levels by setting user role permissions. The plan import subunit facilitates the import of emergency drill plans in various formats. The use of optical character recognition and natural language processing improves the efficiency and accuracy of information extraction. The plan review subunit relies on a strict audit rule base to ensure that plans comply with relevant regulations and actual needs. The version management subunit clearly records plan modification history, facilitating subsequent comparison and analysis. The plan search subunit supports multiple criteria for quick and easy search. The solution sharing sub-unit ensures the secure sharing of solutions among different users through permission settings.

[0070] Furthermore, the oil depot twin environment construction module includes a model construction subunit, a data mapping subunit, and a model optimization subunit. The model construction subunit utilizes the GIS platform and AISWare AIMap technology to construct a 3D geographic model of the oil depot, and utilizes BIM technology to construct building and equipment models. The data mapping subunit uses spatiotemporal alignment technology to accurately associate real-time data with model elements, enabling dynamic model updates. The model optimization subunit optimizes model parameters and structure based on the actual oil depot operation data and simulation results. The model construction subunit utilizes advanced GIS and BIM technologies to construct a high-precision 3D model of the oil depot. The data mapping subunit uses spatiotemporal alignment technology to accurately associate real-time data with model elements, enabling dynamic model updates and keeping them consistent with the actual oil depot status. The model optimization subunit optimizes the model parameters and structure by analyzing the actual oil depot operation data and simulation results, improving the simulation accuracy of the model.

[0071] Furthermore, the simulation model includes a simulation scenario setup subunit, a simulation algorithm application subunit, a simulation parameter adjustment subunit, and a simulation result analysis subunit. The simulation scenario setup subunit supports custom emergency scenarios such as fires, leaks, and explosions, as well as influencing parameters such as weather and time. The simulation algorithm application subunit integrates Monte Carlo simulation and multi-agent simulation algorithms to simulate accident development and the collaborative decision-making of rescue entities. The simulation parameter adjustment subunit supports real-time modification of parameters such as the timing of rescue force deployment and equipment performance during simulation. The simulation result analysis subunit statistically analyzes simulation data, sets threshold warning functions, automatically marks data that exceeds safety indicators, and generates visual reports containing indicators such as emergency response time and resource utilization. The simulation scenario setup subunit provides a rich selection of emergency scenarios and influencing parameter settings, enabling the simulation of various complex situations. The Monte Carlo simulation and multi-agent simulation algorithms integrated in the simulation algorithm application subunit make the simulation of accident development and collaborative decision-making by rescue entities more realistic. The simulation parameter adjustment subunit allows real-time parameter modification during simulation, increasing simulation flexibility. The simulation result analysis subunit performs statistical analysis on the simulation data. The threshold warning function can detect abnormal situations in a timely manner, and the generated visual reports facilitate intuitive understanding of the exercise results.

[0072] Furthermore, the comprehensive analysis and evaluation module includes an evaluation index system construction subunit, an evaluation method application subunit, an evaluation report generation subunit, a comparative analysis subunit, and a trend prediction subunit. The evaluation index system construction subunit constructs an evaluation index system including dimensions such as emergency response speed, resource utilization efficiency, and loss control degree. The evaluation method application subunit uses the hierarchical analysis method to determine the index weights and combines the fuzzy comprehensive evaluation method to evaluate the effect of the exercise. The evaluation report generation subunit uses a visual template to generate an evaluation report containing the basic situation of the exercise, evaluation index scores, problem analysis and improvement suggestions. The comparative analysis subunit can compare historical exercise data and Industry standards, trend forecasting sub-unit, predicts the development trend of emergency response capabilities through time series algorithms, the multi-dimensional evaluation index system constructed by the evaluation index system construction sub-unit comprehensively covers all aspects of emergency drills, the evaluation method application sub-unit uses the hierarchical analysis method and the fuzzy comprehensive evaluation method to scientifically determine the indicator weights and evaluate the drill effects, the evaluation report generation sub-unit uses a visual template to generate an evaluation report with rich and intuitive content, the comparative analysis sub-unit can discover its own strengths and weaknesses by comparing historical data and industry standards, and the trend forecasting sub-unit predicts the development trend of emergency response capabilities through time series algorithms, providing a reference for future emergency management.

[0073] Furthermore, the emergency drill plan management module's review rule base includes the Civil Aviation Administration of China's emergency management regulations and fuel depot safety operation standards, ensuring the legality and safety of emergency drill plans. These regulations and standards, developed through long-term practice and research, effectively guide emergency drills and enhance emergency response capabilities.

[0074] Furthermore, the visualization template for the assessment report generation sub-unit supports the combined display of charts and text, with chart types including line charts, bar charts, and heat maps. This combination of charts and text allows for a more intuitive presentation of assessment results. Line charts clearly demonstrate data trends, bar charts facilitate comparison of different indicator values, and heat maps highlight key areas and critical data, making the assessment report more readable and valuable for analysis.

[0075] Furthermore, the system architecture is layered, comprising a data layer (data acquisition and management module), a model layer (oil depot twin environment construction module and simulation and deduction module), an application layer (emergency drill plan management module and comprehensive analysis and evaluation module), and a user interface layer. This layered system architecture ensures clear division of labor and hierarchy among the various components of the system. The data layer is responsible for data acquisition and management, providing the data foundation for the entire system. The model layer builds and runs digital twin models and conducts simulation and deduction. The application layer manages, evaluates, and analyzes emergency drill plans. The user interface layer provides a user-friendly interactive interface for convenient operation and result viewing. This architectural design improves the system's maintainability and scalability.

[0076] The present invention proposes a method for emergency drill evaluation based on a digital twin airport oil depot, comprising the following steps:

[0077] S1. Data collection and preprocessing: Oil depot data is collected through sensors and external systems, and stored in the data warehouse after cleaning and format conversion;

[0078] S2. Model construction: Use GIS and BIM technologies to build a digital twin model, establish data mapping relationships and dynamically update them. The model built with GIS and BIM technologies, combined with the establishment and dynamic update of data mapping relationships, can reflect the actual situation of the oil depot in real time and provide an accurate model foundation for subsequent simulation and deduction.

[0079] S3. Scheme Management: Develop drill plans and import them into the system, complete review, version control, and authority allocation. The model constructed through GIS and BIM technology, combined with the establishment and dynamic update of data mapping relationships, can reflect the actual situation of the oil depot in real time, providing an accurate model foundation for subsequent simulation and deduction.

[0080] S4. Simulation and deduction: Set scenario parameters based on models and plans, use algorithms to deduce and adjust parameters in real time. By setting scenario parameters, using simulation algorithms for deduction, and supporting real-time parameter adjustment, various possible emergency situations can be simulated, providing rich data for evaluating the effectiveness of the exercise.

[0081] S5. Evaluation and Optimization: Generate a report based on the evaluation indicator system and method, and optimize the plan and emergency management measures according to the suggestions. By generating an evaluation report based on the evaluation indicator system and method, problems in the emergency drill can be discovered, and the plan and emergency management measures can be optimized according to the suggestions in the report, thereby improving the emergency management capabilities of the airport oil depot.

[0082] The above description is only a preferred embodiment of the present invention and does not limit the patent scope of the present invention. All equivalent structural transformations made by using the contents of the present invention description and drawings under the inventive concept of the present invention, or direct / indirect application in other related technical fields are included in the patent protection scope of the present invention.

Claims

1. An emergency drill evaluation system for an airport oil depot based on a digital twin, characterized by: include: The data acquisition and management module connects to oil depot sensors and external systems through multiple data interfaces to obtain static basic data and real-time dynamic data, cleans, stores and regularly updates the data to provide data support for system operation; The emergency drill plan management module is responsible for importing emergency drill plans in various formats, reviewing, versioning, searching, and sharing plans based on permissions, thus achieving full life cycle management of plans. The oil depot twin environment construction module uses GIS and BIM technologies to build a 3D geographic and architectural model of the oil depot, associates real-time data with the model to dynamically update the model, and optimizes the model based on actual and simulated data; The simulation module sets various emergency scenarios and parameters based on the digital twin model and drill plan, uses simulation algorithms to simulate accident development and response, supports real-time parameter adjustment, analyzes simulation results, and generates visual reports; The comprehensive analysis and evaluation module constructs a multi-dimensional evaluation index system, uses the hierarchical analysis method and fuzzy comprehensive evaluation method to evaluate the effectiveness of the drill, and generates an evaluation report containing questions and suggestions. It can compare historical and industry data and predict the development trend of emergency response capabilities.

2. The digital twin airport oil depot emergency drill evaluation system according to claim 1 is characterized by: The data acquisition and management module includes a data acquisition subunit, a data processing subunit, and a data storage subunit. The data acquisition subunit collects oil tank operation data such as oil tank level, pressure, and temperature through sensors, and obtains meteorological and geographic information data through external interfaces. The data processing subunit performs cleaning operations such as denoising and format unification on the collected data, and converts it into a data format that can be recognized by the system. The data storage subunit uses a relational database to store data and sets an update task every 15 minutes.

3. The digital twin airport oil depot emergency drill evaluation system according to claim 1 is characterized by: The emergency drill plan management module includes a plan import subunit, a plan review subunit, a plan audit subunit, a plan review subunit, and a plan sharing subunit. The plan import subunit supports the import of files in formats such as PDF, DOCX, and XLSX, and uses optical character recognition and natural language processing technology to extract key information of the plan. The plan review subunit reviews the compliance and rationality of the plan based on the audit rule library containing the Civil Aviation Administration's emergency management specifications and oil depot safety operation standards. The plan review subunit records the plan modification history in increments of version numbers and supports historical version backtracking. The plan review subunit supports retrieval based on multiple conditions such as drill type, time range, and importance. The plan sharing subunit realizes hierarchical and secure sharing of plans by setting user role permissions.

4. The digital twin airport oil depot emergency drill evaluation system according to claim 1 is characterized by: The oil depot twin environment construction module includes a model construction subunit, a data mapping subunit, and a model optimization subunit. The model construction subunit uses the GIS platform and AISWareAIMap technology to build a three-dimensional geographic model of the oil depot, and uses BIM technology to build building and equipment models. The data mapping subunit uses time-space alignment technology to accurately associate real-time data with model elements to achieve dynamic model updates. The model optimization subunit optimizes model parameters and structure based on the actual operation data and simulation results of the oil depot.

5. The digital twin airport oil depot emergency drill evaluation system according to claim 1 is characterized by: The simulation deduction module includes a simulation scene setting subunit, a simulation algorithm application subunit, a simulation parameter adjustment subunit, and a simulation result analysis subunit. The simulation scene setting subunit supports customized emergency scenarios such as fire, leakage, explosion, and influencing parameters such as weather and time. The simulation algorithm application subunit integrates Monte Carlo simulation and multi-agent simulation algorithm to simulate the development of accidents and the collaborative decision-making behavior of rescue entities. The simulation parameter adjustment subunit supports real-time modification of parameters such as the timing of rescue force deployment and equipment performance during the deduction. The simulation result analysis subunit statistically analyzes the deduction data, sets a threshold warning function, automatically marks data that exceeds safety indicators, and generates visual reports containing indicators such as emergency response time and resource utilization.

6. The digital twin airport oil depot emergency drill evaluation system according to claim 1 is characterized by: The comprehensive analysis and evaluation module includes an evaluation index system construction subunit, an evaluation method application subunit, an evaluation report generation subunit, a comparative analysis subunit, and a trend prediction subunit. The evaluation index system construction subunit constructs an evaluation index system including dimensions such as emergency response speed, resource utilization efficiency, and loss control degree. The evaluation method application subunit uses the hierarchical analysis method to determine the indicator weights and combines the fuzzy comprehensive evaluation method to evaluate the exercise effect. The evaluation report generation subunit uses a visual template to generate an evaluation report containing the basic situation of the exercise, evaluation index scores, problem analysis and improvement suggestions. The comparative analysis subunit can compare historical exercise data and industry standards. The trend prediction subunit predicts the development trend of emergency capabilities through a time series algorithm.

7. The digital twin airport oil depot emergency drill evaluation system according to claim 1 is characterized by: The review rule base of the emergency drill plan management module includes the Civil Aviation Administration's emergency management regulations and oil depot safety operation standards.

8. The digital twin airport oil depot emergency drill evaluation system according to claim 1 is characterized by: The visualization template of the evaluation report generation subunit supports the combined display of charts and text, and the chart types include line charts, bar charts, and heat maps.

9. The digital twin airport oil depot emergency drill evaluation system according to claim 1 is characterized by: The system architecture is layered, including a data layer (data acquisition and management module), a model layer (oil depot twin environment construction module and simulation deduction module), an application layer (emergency drill plan management module and comprehensive analysis and evaluation module) and a user interface layer.

10. A method for evaluating emergency drills for an oil depot at a digital twin airport, according to a system for evaluating emergency drills for an oil depot at a digital twin airport as described in any one of claims 1 to 9, characterized in that: The following steps are involved: S1. Data collection and preprocessing: Oil depot data is collected through sensors and external systems, and stored in the data warehouse after cleaning and format conversion; S2. Model construction: Use GIS and BIM technology to build a digital twin model, establish data mapping relationships and dynamically update; S3. Plan management: Develop drill plans and import them into the system, complete review, version control, and authority allocation; S4. Simulation and deduction: Set scenario parameters based on the model and solution, use algorithms to deduce and adjust parameters in real time; S5. Evaluation and Optimization: Generate reports based on the evaluation indicator system and methods, and optimize plans and emergency management measures based on the recommendations.

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