Typhoon period offshore oil and gas platform personnel safety evacuation auxiliary decision support method and system

Abstract

A method and system for auxiliary decision support in the safe evacuation of personnel from offshore oil and gas platforms during typhoons includes: data acquisition and preprocessing; typhoon risk assessment and calculation of the safe evacuation window; helicopter carrying capacity assessment; personnel evacuation scheme simulation and resource allocation optimization; visual human-computer interaction resource allocation optimization; typhoon re-entry time assessment; and scheme report generation. The beneficial effects of this invention are that it addresses the evacuation needs of personnel from offshore oil and gas platforms during typhoons by dynamically assessing the platform's risk level and calculating the safe evacuation window based on typhoon forecast data, optimizing the evacuation sequence of offshore oil and gas platforms, and conducting digital simulations based on the carrying capacity of emergency resources such as helicopters to evaluate the evacuation effect, dynamically optimizing and adjusting resource allocation. Furthermore, it allows for manual optimization and real-time feedback on evacuation effects through a visual human-computer interaction interface, achieving optimal evacuation schemes for personnel from offshore oil and gas platforms, reducing evacuation risks, and improving evacuation efficiency.

Description

Technical Field

[0001] This invention relates to the field of maritime safety emergency response, and more specifically to a method and system for assisting decision support in the safe evacuation of personnel from offshore oil and gas platforms during typhoon season. Background Technology

[0002] Typhoons are a developing and moving process. Typhoons in the South China Sea often form rapidly from a low-pressure trough and are relatively close to offshore oil and gas fields, leaving very limited time for typhoon preparedness and evacuation, posing a significant threat to offshore production safety. Currently, operational typhoon prevention and mitigation services primarily cater to the needs of the general public and are disconnected from the specific typhoon preparedness requirements of offshore oil and gas field operations. They fail to meet the demands for timeliness, accuracy, intelligent analysis, and auxiliary support in typhoon preparedness for offshore oil and gas operations. Therefore, it is crucial to strengthen the typhoon preparedness and emergency support capabilities of offshore oil and gas platforms. This includes developing intelligent auxiliary support technologies and visualization systems for personnel evacuation from offshore oil and gas platforms during typhoons, providing technical and systemic guarantees for safe offshore oil and gas production and personnel evacuation. Summary of the Invention

[0003] This invention overcomes the shortcomings of existing technologies, such as limited applicability to offshore scenarios and lack of digital systems, and provides a method and system for auxiliary decision support for the safe evacuation of personnel from offshore oil and gas platforms during typhoon season.

[0004] The objective of this invention is achieved through the following technical solution.

[0005] A method for supporting decision-making in the safe evacuation of personnel from offshore oil and gas platforms during typhoon season includes the following steps:

[0006] S1. Establish a multi-source information network database, carry out data quality control processing and automated data entry, build standardized network interfaces, and provide unified data query and retrieval services;

[0007] S2. Based on typhoon forecast data, calculate the distance between the typhoon and the offshore oil and gas platform, obtain the wind intensity of the geographical grid where the platform is located, comprehensively evaluate the dynamic risk level of the platform, analyze and calculate the safe evacuation window period according to the safety environment requirements for personnel evacuation at sea, and optimize and adjust the evacuation order of each platform by comprehensively considering the platform risk level and the safe window period.

[0008] S3. Assess the helicopter carrying capacity based on the number of passengers and flight time per flight;

[0009] S4. Based on the evacuation window period, platform evacuation sequence, and helicopter carrying capacity calculated in steps S1-S3, conduct digital simulation to evaluate the effectiveness of personnel evacuation.

[0010] S5. Conduct information visualization based on WebGIS technology, dynamically adjust emergency resource allocation information through a visual chart interface, refresh related data in real time, collect statistics on personnel evacuation, and conduct human-computer interaction optimization.

[0011] S6. Based on typhoon forecast data, analyze and query the time points when the typhoon wind force level drops to below level 6-8 and continues to decrease, and assess the time for personnel on offshore oil and gas platforms to resume production.

[0012] S7. Automatic Report Generation: Automatically generate a solution report based on the process data from S1 to S6.

[0013] In step S1, the network database includes a static database and a dynamic database. The static database stores data that is not frequently changed, including geographic information of offshore oil and gas platforms, helicopter information, airport information, and ship information. The dynamic database stores data that changes frequently, including typhoon forecast data, platform personnel data, and AIS information.

[0014] In step S2, the distance between the offshore oil and gas platform and the typhoon is calculated using the following formula:

[0015]

[0016] Among them, (x p ,y p (x) represents the coordinates of the platform center. t ,y t The coordinates of the typhoon center are shown above. These two coordinates need to be transformed into projected coordinates in kilometers. p R represents the radius of the different warning zones on the platform, in kilometers; t This represents the radius of the wind circle for different wind force levels of a typhoon, expressed in kilometers.

[0017] In step S2, the calculation steps for the wind intensity of the geographic grid where the offshore oil and gas platform is located are as follows:

[0018] A wind intensity grid numerical matrix is ​​established based on typhoon forecast data. The coordinates of the wind intensity grid numerical matrix are then subtracted from the geographic latitude and longitude coordinates of the offshore oil and gas platform. The grid index with the smallest absolute difference is the position index of the platform within that grid matrix. The formula for calculating the grid matrix index is as follows:

[0019]

[0020]

[0021] Where (i,j) represents the position subscript of the wind intensity grid matrix, lons and lats represent the longitude and latitude variable arrays of the typhoon data, respectively, and (x,y) represents the longitude and latitude coordinates of the offshore oil and gas platform.

[0022] The subscripts extracted through the above steps locate the geographic grid position of the offshore oil and gas platform, from which the wind intensity value of that grid can be obtained. Furthermore, the wind components along the horizontal axis (U) and vertical axis (V) of the typhoon forecast data are converted into wind speed and wind direction. The formulas for calculating wind speed and wind direction are as follows:

[0023]

[0024] dir=mod(180.0+arctan2(u,v) / π*180.0,360.0)

[0025] Where spd is the wind speed in m / s, u and v represent the wind force components on the horizontal and vertical axes in m / s, and dir is the wind direction in degrees.

[0026] In step S2, the dynamic comprehensive evaluation steps for the risk level of offshore oil and gas platforms are as follows:

[0027]

[0028] Among them, D i The distance between the typhoon and the offshore oil and gas platform, spd i The wind speed is the location of the offshore oil and gas platform within the geographic grid.

[0029] Risk assessments were performed on two factors—distance and wind force—at each point in time during the typhoon. The maximum risk value was taken as the risk assessment result at the current moment, and it was determined whether it exceeded the maximum acceptable threshold.

[0030] In step S2, the safe evacuation window for personnel from offshore oil and gas platforms is calculated by selecting the moment when the first unacceptable risk is selected as the cutoff time.

[0031] In step S3, the factors for calculating helicopter carrying capacity include the number of passengers carried per flight and the flight time. The formula for calculating helicopter carrying capacity is as follows:

[0032]

[0033] f time =t Prepare +t take +t board +t flight

[0034]

[0035] Among them, P num The number of passengers carried per voyage; f time The time for a round-trip single flight includes static planning time and dynamic flight time. Static planning time includes preparation time, take-off and landing time, and personnel boarding time. Dynamic flight time is calculated dynamically based on the distance to the offshore oil and gas platform and the helicopter's flight speed.

[0036] In step S5, the content of the human-computer interaction interface includes:

[0037] The infographic panel corresponds to the viewing and display panels for platform, helicopter, and typhoon data, respectively.

[0038] The map display panel intuitively shows information such as the platform location, helicopter location, and typhoon location;

[0039] The risk statistics and analysis panel displays relevant information such as distance, intensity, and risk level.

[0040] The helicopter transport time panel displays the flight time information for each helicopter to different offshore oil and gas platforms;

[0041] The information panel for offshore oil and gas platforms includes risk level, time of first wind force reaching level 8, remaining time of the evacuation window, number of evacuees, number of remaining evacuees, final evacuation time, whether all evacuees have been evacuated, maximum wind force level, and maximum wind force time.

[0042] The helicopter mission scheduling panel displays the mission arrangements for each helicopter evacuation platform and evacuation time;

[0043] The helicopter mission planning panel allows users to input and display information such as mission description, flight platform, and time settings.

[0044] The helicopter status panel includes location, number of passengers, status, ownership, unit, speed, and cost.

[0045] The typhoon information panel includes time, wind speed, direction of movement, speed of movement, and intensity.

[0046] The vessel information panel includes the vessel name, latitude and longitude, distance, type, speed, and carrying capacity.

[0047] In step S6, based on the typhoon forecast data, a wind force time series change curve is plotted, the time point of a level 7 typhoon is retrieved, and the first derivative at the five time points to the right of that point is calculated. When the wind force is less than level 7 and the first derivative is less than 0, the time point is determined to be the time for personnel to resume production on the offshore oil and gas platform.

[0048] A decision support system for the safe evacuation of personnel from offshore oil and gas platforms during typhoons, including:

[0049] Data acquisition and preprocessing module: Establish a network database, conduct data quality control and automatic data entry, and build a unified network interface for querying and acquiring data;

[0050] Typhoon Risk Assessment and Window Calculation Module: Based on data preprocessing and acquisition, calculate the distance between the typhoon and the offshore oil and gas platform, obtain the wind intensity of the geographical grid where the platform is located, comprehensively evaluate the dynamic risk level of the platform, analyze and calculate the evacuation safety window based on the safety environment requirements for personnel evacuation at sea, and optimize and adjust the evacuation order of each platform by comprehensively considering the platform risk level and safety window.

[0051] Helicopter carrying capacity assessment module: assesses the helicopter carrying capacity based on the number of passengers carried and flight time per flight;

[0052] Personnel evacuation simulation and resource allocation module: Based on the evacuation window period, platform evacuation sequence and helicopter carrying capacity calculated by the above modules, numerical simulation is carried out to evaluate the personnel evacuation effect.

[0053] Human-computer interaction optimization module: Based on WebGIS technology, it conducts geographic information visualization, dynamically adjusts emergency resource allocation information through a visual chart interface, and dynamically refreshes related data in real time, counts personnel evacuation status, and conducts human-computer interaction optimization.

[0054] Personnel Resumption Time Assessment Module: Based on typhoon forecast data, analyze and query the time points when the typhoon wind force level drops to below level 6-8 and continues to decrease, and assess the resumption time of personnel on offshore oil and gas platforms.

[0055] Offshore oil and gas platform withdrawal plan report generation module: Based on the process data of the above modules, a formatted report is automatically generated from the template.

[0056] The beneficial effects of this invention are as follows: Addressing the evacuation needs of personnel from offshore oil and gas platforms during typhoons, this invention dynamically assesses the platform's risk level and calculates the safe evacuation window based on typhoon forecast data, optimizing the evacuation sequence of offshore oil and gas platforms. Simultaneously, it incorporates numerical simulations of emergency resource transport capabilities such as helicopters to evaluate the effectiveness of personnel evacuation, dynamically optimize resource allocation, and allows for manual adjustments and real-time feedback on evacuation results through a visual human-computer interaction interface. This achieves optimal effectiveness of the offshore oil and gas platform personnel evacuation plan, reduces evacuation risks, and improves evacuation efficiency. Attached Figure Description

[0057] Figure 1 This is a flowchart illustrating the technical process of the present invention.

[0058] Figure 2 This is a schematic diagram illustrating the calculation of the distance between the platform and the typhoon risk area according to the present invention;

[0059] Figure 3 This is a schematic diagram of the gridded wind intensity of the offshore oil and gas platform according to the present invention;

[0060] Figure 4 This is a schematic diagram of the helicopter personnel testing scheme of the present invention;

[0061] Figure 5 This is a diagram of the human-computer interaction interface for personnel evacuation resource configuration according to the present invention;

[0062] Figure 6 This is a diagram of the helicopter mission scheduling interface of the present invention;

[0063] Figure 7 This is a graph showing the trend of typhoon intensity changes during the resumption of production, as presented in this invention. Detailed Implementation

[0064] The technical solution of the present invention will be further described below through specific embodiments.

[0065] Example

[0066] like Figure 1 As shown, the auxiliary decision support method for the safe evacuation of personnel from offshore oil and gas platforms during typhoons includes the following steps:

[0067] S1. Establish a multi-source information network database, carry out data quality control processing and automated data entry, build standardized network interfaces, and provide unified data query and retrieval services;

[0068] S2. Based on typhoon forecast data, calculate the distance between the typhoon and the offshore oil and gas platform, obtain the wind intensity of the geographical grid where the platform is located, comprehensively evaluate the dynamic risk level of the platform, analyze and calculate the safe evacuation window period according to the safety environment requirements for personnel evacuation at sea, and optimize and adjust the evacuation order of each platform by comprehensively considering the platform risk level and the safe window period.

[0069] S3. Assess the helicopter carrying capacity based on the number of passengers and flight time per flight;

[0070] S4. Based on the evacuation window period, platform evacuation sequence, and helicopter carrying capacity calculated in steps S1-S3, conduct digital simulation to evaluate the effectiveness of personnel evacuation.

[0071] S5. Conduct information visualization based on WebGIS technology, dynamically adjust emergency resource allocation information through a visual chart interface, refresh related data in real time, collect statistics on personnel evacuation, and conduct human-computer interaction optimization.

[0072] S6. Based on typhoon forecast data, analyze and query the time points when the typhoon wind force level drops to below level 6-8 and continues to decrease, and assess the time for personnel on offshore oil and gas platforms to resume production.

[0073] S7. Automatic Report Generation: Automatically generate a solution report based on the process data from S1 to S6.

[0074] In step S1, the network database includes a static database and a dynamic database. The static database stores data that is not frequently changed, including geographic information of offshore oil and gas platforms, helicopter information, airport information, and ship information. The dynamic database stores data that changes frequently, including typhoon forecast data, platform personnel data, and AIS information.

[0075] like Figure 2-3 As shown, in step S2, the distance between the offshore oil and gas platform and the typhoon is calculated using the following formula:

[0076]

[0077] Among them, (x p ,y p (x) represents the coordinates of the platform center. t ,y t The coordinates of the typhoon center are shown above. These two coordinates need to be transformed into projected coordinates in kilometers. p R represents the radius of the different warning zones on the platform, in kilometers; t This represents the radius of the wind circle for different wind force levels of a typhoon, expressed in kilometers.

[0078] In step S2, the calculation steps for the wind intensity of the geographic grid where the offshore oil and gas platform is located are as follows:

[0079] A wind intensity grid numerical matrix is ​​established based on typhoon forecast data. The coordinates of the wind intensity grid numerical matrix are then subtracted from the geographic latitude and longitude coordinates of the offshore oil and gas platform. The grid index with the smallest absolute difference is the position index of the platform within that grid matrix. The formula for calculating the grid matrix index is as follows:

[0080]

[0081]

[0082] Where (i,j) represents the position subscript of the wind intensity grid matrix, lons and lats represent the longitude and latitude variable arrays of the typhoon data, respectively, and (x,y) represents the longitude and latitude coordinates of the offshore oil and gas platform.

[0083] The subscripts extracted through the above steps locate the geographic grid position of the offshore oil and gas platform, from which the wind intensity value of that grid can be obtained. Furthermore, the wind components along the horizontal axis (U) and vertical axis (V) of the typhoon forecast data are converted into wind speed and wind direction. The formulas for calculating wind speed and wind direction are as follows:

[0084]

[0085] dir=mod(180.0+arctan2(u,v) / π*180.0,360.0)

[0086] Where spd is the wind speed in m / s, u and v represent the wind force components on the horizontal and vertical axes in m / s, and dir is the wind direction in degrees.

[0087] In step S2, the dynamic comprehensive evaluation steps for the risk level of offshore oil and gas platforms are as follows:

[0088]

[0089] Among them, D i The distance between the typhoon and the offshore oil and gas platform, spd i The wind speed is the location of the offshore oil and gas platform within the geographic grid.

[0090] Risk assessments were performed on two factors—distance and wind force—at each point in time during the typhoon. The maximum risk value was taken as the risk assessment result at the current moment, and it was determined whether it exceeded the maximum acceptable threshold.

[0091] In step S2, the safe evacuation window for personnel from offshore oil and gas platforms is calculated by selecting the moment when the first unacceptable risk is selected as the cutoff time.

[0092] like Figure 4 As shown, in step S3, the factors for calculating helicopter carrying capacity include the number of passengers carried per flight and the flight time. The formula for calculating helicopter carrying capacity is as follows:

[0093]

[0094] f time =t Prepare +t take +t board +t flight

[0095]

[0096] Among them, P num The number of passengers carried per voyage; f time The time for a round-trip single flight includes static planning time and dynamic flight time. Static planning time includes preparation time, take-off and landing time, and personnel boarding time. Dynamic flight time is calculated dynamically based on the distance to the offshore oil and gas platform and the helicopter's flight speed.

[0097] In step S4, based on the evacuation window period, platform evacuation order, and helicopter operation capacity data calculated in the above steps, dynamic numerical simulation is carried out using the "proximity principle" and the "high-risk priority principle" to optimize the personnel evacuation effect and assess the number of evacuees. For example, if there is a risk of insufficient carrying capacity, the system dynamically searches for information on surrounding vessels to assist in the evacuation of vessels.

[0098] The evacuation order is sorted based on the data obtained from the evacuation window. The length of each platform's window reflects the quality of its emergency evacuation response time; the shorter the window, the less evacuation time is available, and vice versa. The platforms are then sorted according to their evacuation order based on the window period.

[0099] To maximize helicopter resource utilization, empty seats should be minimized. Resource allocation should be conducted through multiple random combinations, while the time span of helicopter missions should be recorded to avoid duplicate scheduling of a single resource. Multiple simulations and evaluations should be performed using computers to select the optimal planning scheme.

[0100] like Figure 5-6 As shown, geographic information visualization functions are implemented based on WebGIS. The time and target configurations of emergency resources such as helicopters are dynamically adjusted through a visual table interface. Related data is updated in real time to evaluate the effectiveness of typhoon evacuation and manual adjustments are made based on expert experience. To facilitate human interaction, the human-computer interaction interface in step S5 includes:

[0101] The infographic panel corresponds to the viewing and display panels for platform, helicopter, and typhoon data, respectively.

[0102] The map display panel intuitively shows information such as the platform location, helicopter location, and typhoon location;

[0103] The risk statistics and analysis panel displays relevant information such as distance, intensity, and risk level.

[0104] The helicopter transport time panel displays the flight time information for each helicopter to different offshore oil and gas platforms;

[0105] The information panel for offshore oil and gas platforms includes risk level, time of first wind force reaching level 8, remaining time of the evacuation window, number of evacuees, number of remaining evacuees, final evacuation time, whether all evacuees have been evacuated, maximum wind force level, and maximum wind force time.

[0106] The helicopter mission scheduling panel displays the mission arrangements for each helicopter evacuation platform and evacuation time;

[0107] The helicopter mission planning panel allows users to input and display information such as mission description, flight platform, and time settings.

[0108] The helicopter status panel includes location, number of passengers, status, ownership, unit, speed, and cost.

[0109] The typhoon information panel includes time, wind speed, direction of movement, speed of movement, and intensity.

[0110] The vessel information panel includes the vessel name, latitude and longitude, distance, type, speed, and carrying capacity.

[0111] like Figure 7 As shown, in step S6, based on the typhoon forecast data, a wind force time series change curve is plotted, the time point of a level 7 typhoon is retrieved, and the first derivative at the 5 time points to the right of that point is calculated. When the wind force is less than level 7 and the first derivative is less than 0, the time point is determined to be the time for personnel to resume production on offshore oil and gas platforms.

[0112] A decision support system for the safe evacuation of personnel from offshore oil and gas platforms during typhoons, including:

[0113] Data acquisition and preprocessing module: Establish a network database, conduct data quality control and automatic data entry, and build a unified network interface for querying and acquiring data;

[0114] Typhoon Risk Assessment and Window Calculation Module: Based on data preprocessing and acquisition, calculate the distance between the typhoon and the offshore oil and gas platform, obtain the wind intensity of the geographical grid where the platform is located, comprehensively evaluate the dynamic risk level of the platform, analyze and calculate the evacuation safety window based on the safety environment requirements for personnel evacuation at sea, and optimize and adjust the evacuation order of each platform by comprehensively considering the platform risk level and safety window.

[0115] Helicopter carrying capacity assessment module: assesses the helicopter carrying capacity based on the number of passengers carried and flight time per flight;

[0116] Personnel evacuation simulation and resource allocation module: Based on the evacuation window period, platform evacuation sequence and helicopter carrying capacity calculated by the above modules, numerical simulation is carried out to evaluate the personnel evacuation effect.

[0117] Human-computer interaction optimization module: Based on WebGIS technology, it conducts geographic information visualization, dynamically adjusts emergency resource allocation information through a visual chart interface, and dynamically refreshes related data in real time, counts personnel evacuation status, and conducts human-computer interaction optimization.

[0118] Personnel Resumption Time Assessment Module: Based on typhoon forecast data, analyze and query the time points when the typhoon wind force level drops to below level 6-8 and continues to decrease, and assess the resumption time of personnel on offshore oil and gas platforms.

[0119] Offshore oil and gas platform withdrawal plan report generation module: Based on the process data of the above modules, a formatted report is automatically generated from the template.

[0120] The embodiments of the present invention have been described in detail above, but the content described is only a preferred embodiment of the present invention and should not be considered as limiting the scope of the present invention. All equivalent changes and improvements made in accordance with the scope of the present invention should still fall within the patent coverage of the present invention.

Claims

1. A method for auxiliary decision support for the safe evacuation of personnel from offshore oil and gas platforms during typhoon season, characterized in that, Includes the following steps: S1. Establish a multi-source information network database, carry out data quality control processing and automated data entry, build standardized network interfaces, and provide unified data query and retrieval services; S2. Based on typhoon forecast data, calculate the distance between the typhoon and the offshore oil and gas platform, obtain the wind intensity of the geographical grid where the platform is located, comprehensively evaluate the dynamic risk level of the platform, analyze and calculate the safe evacuation window period according to the safety environment requirements for personnel evacuation at sea, and optimize and adjust the evacuation order of each platform by comprehensively considering the platform risk level and the safe window period. S3. Assess the helicopter carrying capacity based on the number of passengers and flight time per flight; S4. Based on the evacuation window period, platform evacuation sequence, and helicopter carrying capacity calculated in steps S1-S3, conduct digital simulation to evaluate the effectiveness of personnel evacuation. S5. Conduct information visualization based on WebGIS technology, dynamically adjust emergency resource allocation information through a visual chart interface, refresh related data in real time, collect statistics on personnel evacuation, and conduct human-computer interaction optimization. S6. Based on typhoon forecast data, analyze and query the time points when the typhoon wind force level drops to below level 6-8 and continues to decrease, and assess the time for personnel on offshore oil and gas platforms to resume production. S7. Automatic Report Generation: Automatically generate a solution report based on the process data from S1 to S6; In step S2, the distance between the offshore oil and gas platform and the typhoon is calculated using the following formula: Among them, (x) p , y p (x) represents the coordinates of the platform center. t , y t The coordinates of the typhoon center are shown below. These two coordinates need to be transformed into projected coordinates in kilometers. p R represents the radius of the different warning zones on the platform, in kilometers; t The radius of the wind circle for different wind force levels of a typhoon, in kilometers; In step S2, the calculation steps for the wind intensity of the geographic grid where the offshore oil and gas platform is located are as follows: A wind intensity grid numerical matrix is ​​established based on typhoon forecast data. The coordinates of the wind intensity grid numerical matrix are then subtracted from the geographic latitude and longitude coordinates of the offshore oil and gas platform. The grid index with the smallest absolute difference is the position index of the platform within that grid matrix. The formula for calculating the grid matrix index is as follows: Where (i, j) represents the position subscript of the wind intensity grid matrix, lons and lats represent the longitude and latitude variable arrays of the typhoon data, respectively, and (x, y) represents the longitude and latitude coordinates of the offshore oil and gas platform; The subscripts extracted through the above steps locate the geographic grid position of the offshore oil and gas platform. The wind intensity values ​​for that grid can then be obtained. Furthermore, the wind components along the horizontal axis (U) and vertical axis (V) of the typhoon forecast data are converted into wind speed and wind direction. The formulas for calculating wind speed and wind direction are as follows: Where spd is the wind speed in m / s, u and v represent the wind force components on the horizontal and vertical axes respectively in m / s, and dir is the wind direction in degrees. In step S2, the dynamic comprehensive evaluation steps for the risk level of offshore oil and gas platforms are as follows: Among them, D i The distance between the typhoon and the offshore oil and gas platform, spd i Wind speed within the geographic grid where the offshore oil and gas platform is located; Risk assessments were performed on the distance and wind force at each point in time during the typhoon. The maximum risk value was taken as the risk assessment result at the current moment, and it was determined whether it exceeded the maximum acceptable threshold. In step S3, the factors for calculating helicopter carrying capacity include the number of passengers carried per flight and the flight time. The formula for calculating helicopter carrying capacity is as follows: Among them, P num The number of passengers carried per voyage; f time The time for a round-trip single flight includes static planning time and dynamic flight time. Static planning time includes preparation time, take-off and landing time, and personnel boarding time. Dynamic flight time is calculated dynamically based on the distance to the offshore oil and gas platform and the helicopter's flight speed.

2. The auxiliary decision support method for safe evacuation of personnel from offshore oil and gas platforms during typhoon season as described in claim 1, characterized in that: In step S1, the network database includes a static database and a dynamic database. The static database stores data that is not frequently changed, including geographic information of offshore oil and gas platforms, helicopter information, airport information, and ship information. The dynamic database stores data that changes frequently, including typhoon forecast data, platform personnel data, and AIS information.

3. The auxiliary decision support method for safe evacuation of personnel from offshore oil and gas platforms during typhoon season as described in claim 1, characterized in that: In step S2, the safe evacuation window for personnel from offshore oil and gas platforms is calculated by selecting the moment when the first unacceptable risk is selected as the cutoff time.

4. The auxiliary decision support method for safe evacuation of personnel from offshore oil and gas platforms during typhoon season as described in claim 1, characterized in that: In step S5, the content of the human-computer interaction interface includes: The infographic panel corresponds to the viewing and display panels for platform, helicopter, and typhoon data, respectively. The map display panel intuitively shows the platform location, helicopter location, and typhoon location information; The risk statistics and analysis panel displays distance, intensity, and risk level information; The helicopter transport time panel displays the flight time information for each helicopter to different offshore oil and gas platforms; The information panel for offshore oil and gas platforms includes risk level, time of first wind force reaching level 8, remaining time of the evacuation window, number of evacuees, number of remaining evacuees, final evacuation time, whether all evacuees have been evacuated, maximum wind force level, and maximum wind force time. The helicopter mission scheduling panel displays the mission arrangements for each helicopter evacuation platform and evacuation time; The helicopter mission planning panel allows users to input and display mission descriptions, flight paths to platforms, and time settings. The helicopter status panel includes location, number of passengers, status, ownership, unit, speed, and cost. The typhoon information panel includes time, wind speed, direction of movement, speed of movement, and intensity. The vessel information panel includes the vessel name, latitude and longitude, distance, type, speed, and carrying capacity.

5. The auxiliary decision support method for safe evacuation of personnel from offshore oil and gas platforms during typhoon season as described in claim 1, characterized in that: In step S6, based on the typhoon forecast data, a wind force time series change curve is plotted, the time point of a level 7 typhoon is retrieved, and the first derivative at the five time points to the right of that point is calculated. When the wind force is less than level 7 and the first derivative is less than 0, the time point is determined to be the time for personnel to resume production on offshore oil and gas platforms.

6. A decision support system for the safe evacuation of personnel from offshore oil and gas platforms during typhoon season, used to implement the decision support method for the safe evacuation of personnel from offshore oil and gas platforms during typhoon season as described in any one of items 1-5, characterized in that, include: Data acquisition and preprocessing module: Establish a network database, conduct data quality control and automatic data entry, and build a unified network interface for querying and acquiring data; Typhoon Risk Assessment and Window Calculation Module: Based on data preprocessing and acquisition, calculate the distance between the typhoon and the offshore oil and gas platform, obtain the wind intensity of the geographical grid where the platform is located, comprehensively evaluate the dynamic risk level of the platform, analyze and calculate the evacuation safety window based on the safety environment requirements for personnel evacuation at sea, and optimize and adjust the evacuation order of each platform by comprehensively considering the platform risk level and safety window. Helicopter carrying capacity assessment module: assesses the helicopter carrying capacity based on the number of passengers carried and flight time per flight; Personnel evacuation simulation and resource allocation module: Based on the evacuation window period, platform evacuation sequence and helicopter carrying capacity calculated by the above modules, numerical simulation is carried out to evaluate the personnel evacuation effect. Human-computer interaction optimization module: Based on WebGIS technology, it conducts geographic information visualization, dynamically adjusts emergency resource allocation information through a visual chart interface, and dynamically refreshes related data in real time, counts personnel evacuation status, and conducts human-computer interaction optimization. Personnel Resumption Time Assessment Module: Based on typhoon forecast data, analyze and query time points when the typhoon wind force level drops to below level 6-8 and continues to decrease, and assess the resumption time of personnel on offshore oil and gas platforms; Offshore Oil and Gas Platform Evacuation Plan Report Generation Module: Based on the process data of the above modules, automatically generate a formatted report from the template.

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