Conveying configuration method and system for medical air transportation

Abstract

The invention relates to the technical field of resource transmission configuration, and discloses a transmission configuration method and system for medical air transportation, and the method comprises the steps: obtaining user data and resource data through a scene modeling module, constructing a task scene model, and providing a basis for subsequent decision making; the post-sending decision-making module generates a post-sending decision-making strategy based on a result of the task scene model to obtain a post-sending scheme, and selects the post-sending scheme according to an actual situation, so that the decision-making accuracy and the resource utilization rate are improved; the simulation deduction module performs simulation deduction according to the task scene model and the selected post-delivery scheme, simulates the medical air delivery post-delivery process, and visually detects deduction data in the simulation deduction process; and after simulation deduction is finished, the decision evaluation module evaluates deduction data obtained by visual detection to optimize a post-delivery decision strategy, so that the delivery configuration system can quickly and effectively respond to a medical air delivery post-delivery scene of batch sick and wounded in wartime, and the emergency response capability of the delivery configuration system is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of resource transportation configuration, and in particular to a transportation configuration method and system for medical air transportation. Background Art

[0002] With the development of information technology, the medical air transport system is moving towards intelligence and automation. For example, the use of drones to transport emergency medical supplies has been applied in some areas. At the same time, the international research on medical air transport evacuation simulation training is relatively in-depth, including dynamic simulation technology, comprehensive evaluation system and virtual environment design. These studies help improve the response capabilities of medical staff in emergency situations. The medical air transport system can deliver urgently needed medical equipment or drugs to the designated location in the shortest time. Compared with land transportation, air transportation is not restricted by terrain and can cover a wider area. Through dedicated channels and isolation measures, it can effectively reduce the risk of infection and can flexibly dispatch resources according to the needs of different hospital areas and different time periods. However, most of them have not solved how to generate evacuation decision strategies by building mission scenario models and conducting simulation deductions to optimize evacuation decision strategies.

[0003] For example, a Chinese patent application with publication number CN114840247A discloses a chip-level power intelligent system configuration method and device, which is applied to the management core and protection core in the power intelligent system, and the method includes: S1, when the management core determines that the target power equipment is in an operating state, it determines the synchronously generated target power data, and the target power data includes at least one of the transmission line data, transformer data and distribution and power supply equipment data; S2, the management core generates a target configuration file of the target protection program according to the acquired target power data, chip configuration information and historical configuration records; S3, the management core transmits the target configuration file to the protection core to trigger the protection core to generate a target protection program according to the received target configuration file, and run the target protection program to realize monitoring and protection; it solves the technical problems that the prior art lacks consideration of the actual operating status of the power equipment and has incomplete protection monitoring.

[0004] For example, the Chinese patent application with the authorization announcement number CN112068755B discloses an interactive control method for a long stator conveying system, which includes: obtaining the position and motion state of each mover device, and displaying it in real time on the user interface through a graphical simulation method; the user interface accepts the user's input information to establish a process and set and record process parameters, the process parameters include the process name, the workstation information included in the process, and the working logic information between processes, wherein the workstation information includes the process to which the workstation belongs and the workstation position information, and the working logic information between processes defines the process logic judgment rules and motion parameters for the long stator conveying system to work and execute the process; the process parameters are transmitted to the long stator conveying system and stored. According to the interactive control method of the long stator conveying system, it is helpful to improve the convenience of on-site debugging and configuration of the long stator conveying system, and reduce the difficulty of using the long stator conveying system.

[0005] The above patents have the problem raised by the background technology: the above two patents do not solve the problem of how to generate a evacuation decision strategy by building a mission scenario model and performing simulation deduction to optimize the evacuation decision strategy. To solve this problem, the present invention proposes a transportation configuration method and system for medical air transportation. Summary of the invention

[0006] In view of the above problems existing in the prior art, the present invention is proposed.

[0007] Therefore, an object of the present invention is to provide a method and system for transport configuration for medical air transport.

[0008] In order to solve the above technical problems, the present invention provides a transportation configuration system for medical air transport: a scenario modeling module, a transport decision module, a simulation deduction module and a decision evaluation module;

[0009] The scenario modeling module is used to obtain user data and resource data and build a task scenario model;

[0010] The evacuation decision module generates an evacuation decision strategy based on the results of the mission scenario model to obtain an evacuation plan. The evacuation decision strategy includes an evacuation target, a resource monitoring mechanism, and an air transport path obtained by weighted summation of user treatment priority, treatment effect, resource utilization, and transportation time;

[0011] The simulation module performs simulation according to the mission scenario model and the selected evacuation plan, simulates the process of medical air transport evacuation, and visually detects the simulation data during the simulation;

[0012] The decision evaluation module is used to evaluate the deduction data obtained by visual detection after the simulation is completed to optimize the transport decision strategy.

[0013] As a preferred solution of the transportation configuration system for medical air transport described in the present invention, the user data includes injuries and vital signs, and the resource data includes air transport medical resources and health resources. The task scenario model is constructed by acquiring the user data and resource data. The function expression of the task scenario model is as follows:

[0014] TS = {U, R, S, T, P};

[0015] Where TS represents the task scenario, U represents the set of user data, R represents the set of resource data, S represents the task scenario state, T represents the generation time of the task scenario, and P represents the user rescue priority.

[0016] As a preferred solution of the transport configuration system for medical air transport of the present invention, a transport decision strategy is generated based on the result of the mission scenario model to obtain a transport plan, and the transport decision strategy includes:

[0017] The evacuation target is obtained by weighted summation of the user's treatment priority, treatment effect, resource utilization and transportation time, and the constraints of the evacuation target are determined. At the same time, a resource monitoring mechanism is established to monitor the resource status in real time to complete resource reconfiguration, and air transport routes are planned to complete medical air transport evacuation and obtain a evacuation plan.

[0018] As a preferred solution of the transport configuration system for medical air transport of the present invention, the function expression of the transport target is as follows:

[0019] z=w1×P+w2×E+w3×u-w4×t;

[0020] Where z represents the result of the evacuation target, w1 represents the weight coefficient of the user's rescue priority, w2 represents the weight coefficient of the rescue effect, E represents the rescue effect, w3 represents the weight coefficient of resource utilization, u represents resource utilization, w4 represents the weight coefficient of transportation time, and t represents transportation time.

[0021] As a preferred solution of the transport configuration system for medical air transport described in the present invention, the resource monitoring mechanism includes:

[0022] Monitor the resource status rs and resource utilization u in real time. If rs = 0, that is, the resource status is unavailable, recalculate the result of the backward delivery target;

[0023] If rs=1, that is, the resource status is available, then determine whether resource reconfiguration is required;

[0024] Configure the resource utilization threshold u0, compare the resource utilization rate u with the resource utilization threshold u0 to determine whether resource reconfiguration is needed. If u<u0, prioritize the allocation of available resources to meet the delivery target and complete the delivery plan;

[0025] If u≥u0, resource reconfiguration is started.

[0026] As a preferred solution of the transport configuration system for medical air transport described in the present invention, the logic of resource reconfiguration includes:

[0027] Count the number of resources R required to send to the target d , and adjust the number of available resources R1, then the number of reconfigured resources is min(R d ,R1), if R d ≤R1, the reconfigured resources are allocated first according to the user's treatment priority, and the resource status is updated;

[0028] If R d > R1, then the number of resources required to send the target is R d Subtract the available resources R1 to get the resource difference R d -R1, reconfigure resources according to the amount of resource difference and update resource status.

[0029] As a preferred solution of the transport configuration system for medical air transport of the present invention, the planning strategy of the air transport path includes:

[0030] The distance of each path segment and the weight value of the path safety of the path segment are calculated. The risk value of the air transport path is obtained by weighted summing the distance of each path segment and the weight value of the path safety of the path segment. The planning result of the air transport path is selected according to the risk value of the air transport path.

[0031] As a preferred solution of the transport configuration system for medical air transport of the present invention, the logic of optimizing the transport decision strategy includes:

[0032] Comprehensively consider the user's rescue priority, rescue effect, resource utilization, transportation time, the number of available resources and the risk value of the air transport path to optimize the evacuation target, and adjust the weight value of the path safety according to the safety factors of the air transport path. The safety factors of the air transport path include weather conditions, traffic conditions and event conditions to optimize the planning results of the air transport path.

[0033] As a preferred solution of the transport configuration system for medical air transport of the present invention, the function expression of the optimized transport target is as follows:

[0034]

[0035] In the formula, z' represents the result of the optimized delivery target, w5 represents the weight coefficient of available resources, w6 represents the weight coefficient of the risk value of the air transport path, D represents the risk value of the air transport path, and D max Indicates the risk value threshold.

[0036] A transport configuration method for medical air transport, comprising: S1, obtaining user data and resource data, and building a mission scenario model;

[0037] S2, generating a evacuation decision strategy based on the results of the mission scenario model and obtaining a evacuation plan;

[0038] S3. Perform simulation based on the mission scenario model and the selected evacuation plan to simulate the process of medical air transport and visually inspect the simulation data during the simulation.

[0039] S4. After the simulation is completed, evaluate the simulation data obtained from visual inspection to optimize the evacuation decision-making strategy.

[0040] Beneficial effects of the present invention: The present invention obtains user data and resource data through the scenario modeling module, and constructs a mission scenario model to provide a basis for subsequent decision-making; the delivery decision module generates a delivery decision strategy based on the results of the mission scenario model, obtains a delivery plan, and selects a delivery plan according to actual conditions. The process of integrating and processing different information greatly shortens the decision-making time and improves the decision-making efficiency. Through intelligent resource allocation and air transport paths, the uncertainty and error rate of human decision-making are reduced, making the decision more scientific and reasonable, thereby improving the accuracy of the decision. Through the reasonable allocation of resources, the waste and idleness of resources are avoided, and the utilization rate of resources is improved. At the same time, when encountering emergencies, the resource allocation can be adjusted according to the real-time situation to ensure that resources can meet the needs of the wounded and the sick in a timely and effective manner, and the intelligent completion The safety of the air transport path will be taken into consideration when recommending air transport routes and forming specific evacuation plans. By evaluating and optimizing the safety of the air transport path, dangerous situations that may occur during transportation are reduced, and the reliability of medical air transport evacuation is improved. The simulation and deduction module performs simulation and deduction based on the mission scenario model and the selected evacuation plan, simulates the process of medical air transport evacuation, and visually detects the simulation and deduction data during the simulation and deduction process. It can discover potential problems and risks in advance and provide early warnings and improvement suggestions for the execution of actual tasks. After the simulation and deduction, the decision evaluation module evaluates the deduction data obtained by visual inspection to optimize the evacuation decision strategy, so that the transportation configuration system can respond more quickly and effectively when actually responding to the wartime batch medical air transport evacuation scenario, thereby improving the emergency response capability of the transportation configuration system. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing 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 labor. Among them:

[0042] Figure 1 A system structure diagram of a transport configuration system for medical air transport according to the present invention;

[0043] Figure 2 A flow chart of the evacuation decision strategy of the transport configuration system for medical air transport of the present invention;

[0044] Figure 3 A flow chart of a resource monitoring mechanism of a transport configuration system for medical air transport according to the present invention;

[0045] Figure 4 The present invention is a method flow chart of the transport configuration method for medical air transport. DETAILED DESCRIPTION

[0046] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0047] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention can also be implemented in other ways different from those described herein, and those skilled in the art can make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0048] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0049] Example 1

[0050] In this embodiment, a system structure diagram of a transport configuration system for medical air transport is provided, such as Figure 1 As shown, the transport configuration system for medical air transport includes a scenario modeling module, a transport decision module, a simulation module and a decision evaluation module.

[0051] The scenario modeling module is used to obtain user data and resource data and build a task scenario model.

[0052] User data includes injuries and vital signs, and resource data includes air transport medical resources and health resources. The task scenario model is constructed by obtaining user data and resource data. The function expression of the task scenario model is as follows:

[0053] TS = {U, R, S, T, P};

[0054] Where TS represents the task scenario, U represents the set of user data, R represents the set of resource data, S represents the task scenario state, T represents the generation time of the task scenario, and P represents the user rescue priority.

[0055] It needs to be explained that the presentation results of the mission scenario status S are not in progress, in progress and completed; the set of user data U contains all user data, including injuries and vital signs; the set of resource data R contains all resource data, including aircraft, medical equipment and medicines.

[0056] The function expression of the user's rescue priority is as follows:

[0057]

[0058] In the formula, w s Indicates the weight coefficient of injury severity, s represents the severity of injury, w v represents the weight coefficient of the stability of vital signs, v represents the stability of vital signs, and r represents the current resource availability.

[0059] What needs to be explained is: the weight coefficient w of the severity of the injury s and the weight coefficient w of the stability of vital signs v The value range is between 0 and 1 and conforms to w s +w v =1; the values ​​of injury severity s, stability of vital signs v and current resource availability r range from 1 to 10; the final user treatment priority is a numerical value, and the larger the numerical value, the higher the user treatment priority.

[0060] After obtaining user data and resource data, ensure that user data and resource data use a unified format and unit. For example, the injuries of the injured are coded using ICD, and the severity of the injuries is assessed to quantify the injuries. The vital signs of the injured are reflected by the heart rate, blood pressure and respiratory rate of the injured, and the stability of the vital signs is obtained by combining the heart rate, blood pressure and respiratory rate of the injured. Air medical resources include aircraft, and health resources include medical equipment and medicines. The quantity and status of air medical resources and health resources are recorded separately. For example, there are 4 aircraft, 10 medical equipment and 100 kinds of medicines, and the status shows that there are 3 The current resource availability is determined based on the available air medical resources and health resources, including available aircraft, available aircraft, unavailable aircraft, available 8 medical devices, unavailable 2 medical devices, available 80 types of medicines, and unavailable 20 types of medicines. The higher the current resource availability, the more available resources are. At the same time, a graphical interface is also needed to display the injuries and resource status of the wounded and sick. For example, the injuries of the wounded and sick can be represented by icons of different colors to indicate the severity of the injury (red for the most serious, green for the least serious), and the resource status can be represented by status lights (green for available, red for unavailable).

[0061] The priority level for treating the injured is obtained according to the severity of the injured patient's injury, the stability of his vital signs and the current availability of resources. The higher the value of the severity of the injured patient's injury, the more serious the injured patient's injury is; the higher the value of the stability of the injured patient's vital signs, the more stable the injured patient's vital signs are; the higher the value of the current resource availability, the more sufficient the resources are; the current resource availability is obtained by comparing the available resources with the total resources. When the value of the user's treatment priority is larger, it means that the necessity of giving priority to the injured patient is stronger when resources are limited; when the value of the user's treatment priority is smaller, it means that the injured patient's injury is relatively light or his vital signs are relatively stable, and resources are relatively sufficient, and the treatment can be appropriately postponed.

[0062] Specifically, the generated result of the above task scenario model may be: User A suffers from an acute heart attack, his vital signs are unstable, and he needs to be transferred to the hospital immediately. Currently, there are 3 aircraft, 8 medical devices and 90 kinds of medicines available, and the transfer is in progress.

[0063] The evacuation decision module generates an evacuation decision strategy based on the results of the mission scenario model, obtains an evacuation plan, and selects an evacuation plan according to actual conditions. The evacuation decision strategy includes the evacuation target, resource monitoring mechanism, and air transport path obtained by weighted summation of user rescue priority, rescue effect, resource utilization, and transportation time.

[0064] The evacuation decision strategy is generated based on the results of the mission scenario model, and the evacuation plan is obtained. The evacuation decision strategy is as follows: Figure 2 As shown, specifically including:

[0065] The evacuation target is obtained by weighted summation of the user's treatment priority, treatment effect, resource utilization and transportation time, and the constraints of the evacuation target are determined. At the same time, a resource monitoring mechanism is established to monitor the resource status in real time to complete resource reconfiguration, and air transport routes are planned to complete medical air transport evacuation and obtain a evacuation plan.

[0066] The function expression of the back-transfer target is as follows:

[0067] z=w1×P+w2×E+w3×u-w4×t;

[0068] Where z represents the result of the evacuation target, w1 represents the weight coefficient of the user's rescue priority, w2 represents the weight coefficient of the rescue effect, E represents the rescue effect, w3 represents the weight coefficient of resource utilization, u represents resource utilization, w4 represents the weight coefficient of transportation time, and t represents transportation time.

[0069] It needs to be explained that the weight coefficient w1 of the user's rescue priority, the weight coefficient w2 of the rescue effect, the weight coefficient w3 of the resource utilization rate and the weight coefficient w4 of the transportation time range from 0 to 1, and meet the requirement of w1+w2+w3+w4=1; the value range of the rescue effect E is from 1 to 10; the transportation time t is usually a positive number, and the smaller the value of the transportation time t, the better.

[0070] Among them, the constraints of the delivery target are as follows:

[0071] P ≥ P0;

[0072] E ≥ E0;

[0073] u≥0;

[0074] t≤t0;

[0075] In the formula, P0 represents the priority threshold, E0 represents the treatment effect threshold, and t0 represents the transportation time threshold.

[0076] It needs to be explained that: the priority threshold P0 is to ensure that the priority of the injured and sick being treated reaches at least the priority threshold; the treatment effect threshold E0 is to ensure the quality of treatment; the resource utilization rate u is greater than or equal to 0 to avoid invalid transfer targets; the transportation time threshold t0 is to limit the transportation time within the acceptable maximum value to avoid excessive waiting time.

[0077] When formulating the evacuation decision-making strategy, we first need to consider multi-objective optimization. Here, we make decisions on the evacuation plan based on the evacuation goals of prioritizing the wounded and sick, maximizing the treatment effect, maximizing resource utilization, and minimizing the transportation time. The final evacuation goal results can evaluate the advantages and disadvantages of different evacuation plans, thereby better allocating resources, optimizing the medical air transport treatment process, and helping to select the optimal evacuation plan, helping to achieve more efficient resource utilization and better treatment effects.

[0078] Resource monitoring mechanisms such as Figure 3 As shown, specifically including:

[0079] Monitor the resource status rs and resource utilization u in real time. If rs = 0 (the resource status is unavailable), recalculate the result of the backward delivery target;

[0080] If rs=1 (the resource status is available), it is determined whether resource reconfiguration is required.

[0081] Configure the resource utilization threshold u0, compare the resource utilization rate u with the resource utilization threshold u0 to determine whether resource reconfiguration is needed. If u<u0, prioritize the allocation of available resources to meet the delivery target and complete the delivery plan;

[0082] If u≥u0, resource reconfiguration is started.

[0083] The logic of resource reconfiguration includes:

[0084] Count the number of resources R required to send to the target d , and adjust the number of available resources R1, then the number of reconfigured resources is min(R d ,R1), if R d ≤R1, the reconfigured resources are allocated first according to the user's treatment priority, and the resource status is updated;

[0085] If R d > R1, then the number of resources required to send the target is R d Subtract the available resources R1 to get the resource difference R d -R1, reconfigure resources according to the amount of resource difference and update resource status.

[0086] The above resource utilization is the ratio of used resources to total resources. The entire resource status needs to be updated in real time and summarized to the cloud for subsequent decision-making and evaluation. For resources with unavailable resource status, it is necessary to evaluate the recovery time and feasibility of the unavailable resources and consider whether it is possible to support subsequent resource configuration to ensure flexible response in resource-constrained situations. When the resource utilization is less than the resource utilization threshold, available resources are allocated first to ensure that the delivery target is met to complete the delivery plan. When the resource utilization is greater than or equal to the resource utilization threshold, it indicates that resources are in short supply and resource reconfiguration is required. The number of resources to be reconfigured is the minimum value of the number of resources required for the delivery target and the number of available resources. When the resource utilization is greater than or equal to the resource utilization threshold, it indicates that resources are in short supply and resource reconfiguration is required. If the number of resources required for the delivery target is less than or equal to the number of available resources, the reconfigured resources are allocated preferentially according to the user's rescue priority. When the number of resources required for the secondary delivery target is greater than the number of available resources, the corresponding number of resource differences needs to be scheduled from the available resources of other secondary delivery plans to ensure that the secondary delivery target is met and the secondary delivery plan is completed. After resource reconfiguration, the resource status needs to be updated in a timely manner, and the resource usage effect and the satisfaction of the secondary delivery target need to be monitored. The resource utilization threshold is dynamically adjusted according to the feedback of the monitoring effect to improve the overall resource allocation efficiency. At the same time, the minimum reserve of emergency resources needs to be set to respond to emergencies, and resource reconfiguration drills should be conducted regularly to improve the responsiveness and accuracy of the transportation configuration system.

[0087] For example, there are 4 planes, 10 medical devices and 100 kinds of medicines. Currently, 3 planes, 8 medical devices and 90 kinds of medicines are available. Now 1 plane, 4 medical devices and 30 kinds of medicines are needed to complete the delivery plan. At this time, there is no need to reconfigure resources. Directly give priority to the available resources and update the available resources to 2 planes, 4 medical devices and 60 kinds of medicines.

[0088] In the actual evacuation plan, a series of emergency response steps need to be set, including the need to give priority to high-priority injured and sick resources in resource reallocation, to ensure that resources can be deployed quickly and effectively in emergencies.

[0089] Air transport route planning strategies include:

[0090] The distance of each path segment and the weight value of the path safety of the path segment are calculated. The risk value of the air transport path is obtained by weighted summing the distance of each path segment and the weight value of the path safety of the path segment. The planning result of the air transport path is selected according to the risk value of the air transport path.

[0091] The functional expression of the risk value of the air transport path is as follows:

[0092]

[0093] Where D represents the risk value of the air transport path, w p The weight value of the path security, L i represents the distance of the i-th path, and n represents the total number of path segments.

[0094] What needs to be explained is: the weight value w of path security p The value range is between 0 and 1, and the weight value w of path security p The higher the risk value D of the air transport path, the higher the safety of the air transport path; the smaller the risk value D of the air transport path, the better the safety of the air transport path, and the air transport path will be selected first.

[0095] The shortest air transport path is obtained by combining the shortest path algorithm, and the shortest air transport path is divided into multiple paths. The distance of each path segment and the weight value of the path safety of the path segment are obtained respectively. The risk value of the air transport path is obtained by weighted summing the distance of each path segment and the weight value of the path safety of the path segment. When the risk value of the newly calculated air transport path is less than the risk value of the currently calculated air transport path, the newly calculated air transport path is switched to complete the medical air transport evacuation according to the air transport path, thereby obtaining a complete evacuation plan, including the determination of the evacuation target, the monitoring results of the resource monitoring mechanism, and the air transport path for medical air transport evacuation.

[0096] In the actual evacuation plan, multiple alternative air transport routes need to be developed to deal with emergencies, and a rapid response team needs to be established to ensure that decisions and route planning can be made quickly in emergency situations.

[0097] The simulation module performs simulation based on the mission scenario model and the selected evacuation plan, simulates the process of medical air transport, and visually detects the simulation data during the simulation.

[0098] The deduced data includes transportation time, resource consumption, and changes in user status.

[0099] According to the mission scenario model and the selected evacuation plan, a simulation is performed to simulate the process of medical air transport evacuation. The steps of the simulation include calculating the results of the evacuation target based on the results of the mission scenario, starting the resource monitoring mechanism to determine whether resource reconfiguration is required, and the planning results of the air transport path. During the entire simulation process, the transportation time, resource consumption and user status changes are recorded in real time. The simulation process is displayed through visual charts, including graphically displaying user data, resource data, mission scenario status and user treatment priority in the mission scenario model, and displaying available evacuation plans for users to choose. Charts and graphs are used to display the advantages and disadvantages of each plan. Charts (such as line charts and bar charts) are used to dynamically display the transportation time, resource consumption and user status changes, focusing on displaying resource consumption and user status changes. At the same time, during the startup of the resource monitoring mechanism, when resource reconfiguration is required, the user is prompted by a color alarm, and the air transport path is displayed in a graphical way, clearly marking the starting point, end point and key points along the way. The simulation data in the simulation process is visually detected by the above method to help users monitor the key data in the medical air transport evacuation process in real time to ensure timely response and corresponding adjustments.

[0100] The decision evaluation module is used to evaluate the simulation data obtained by visual detection after the simulation is completed to optimize the evacuation decision strategy.

[0101] The logic for optimizing the evacuation decision strategy includes:

[0102] Comprehensively consider the user's rescue priority, rescue effect, resource utilization, transportation time, the number of available resources and the risk value of the air transport path to optimize the evacuation target, and adjust the weight value of the path safety according to the safety factors of the air transport path. The safety factors of the air transport path include weather conditions, traffic conditions and event conditions to optimize the planning results of the air transport path.

[0103] The function expression of the optimized backhaul target is as follows:

[0104]

[0105] In the formula, z' represents the result of the optimized delivery target, w5 represents the weight coefficient of available resources, w6 represents the weight coefficient of the risk value of the air transport path, and D max Indicates the risk value threshold.

[0106] It should be explained that the weight coefficient w5 of the available resources and the weight coefficient w6 of the risk value of the air transport path range from 0 to 1 and meet the requirement of w1+w2+w3+w4+w5+w6=1; the number of available resources R1 is to ensure the resource availability constraint, and the larger the value of the number of available resources R1, the better; the risk value threshold D max Refers to the maximum acceptable risk value.

[0107] The constraints of the optimized delivery target are as follows:

[0108] R1≥R min ;

[0109] D≤D max ;

[0110] In the formula, R min Indicates the lowest threshold of available resources.

[0111] What needs to be explained is: the minimum threshold R of available resources min To ensure that there are always enough resources during the medical air evacuation process; the risk value threshold D max This is to ensure that the risk value of the selected air transport route is within an acceptable range and reduce the possibility of accidents or delays.

[0112] By introducing the number of available resources and the risk value of the air transport path to improve the evacuation objectives and constraints, the complex evacuation decision-making environment can be more comprehensively reflected. This optimized evacuation objective can respond to emergencies more flexibly and improve the overall efficiency of medical air transport evacuation.

[0113] The function expression for adjusting the weight value of the path security is as follows:

[0114]

[0115] Where w' p represents the weight value of the adjusted path safety, a1 represents the adjustment value of the weather status, a2 represents the adjustment value of the traffic status, and a3 represents the adjustment value of the event status.

[0116] It needs to be explained that: the adjustment value a1 of the weather status is obtained based on the judgment of the severity of the weather (for example, the adjustment value is 10% for slightly bad weather, 20% for moderately bad weather, and 30% for severely bad weather); the adjustment value a2 of the traffic status is determined based on the degree of air traffic congestion (for example, the adjustment value is 5% for slightly bad congestion, 15% for moderately bad congestion, and 25% for severely congested); the adjustment value a3 of the event status is obtained based on the severity of the emergency (for example, the adjustment value is 30% for slightly bad weather, 40% for moderately bad weather, and 50% for severely bad weather).

[0117] For example, assuming that the initial path security weight is w p = 0.9, at this time there is moderate bad weather (20% drop), slight congestion (5% drop), and no emergencies.

[0118]

[0119] In actual applications, minor inclement weather refers to situations where the impact on flight operations is minor and flights are basically normal, such as light rain, light snow, slightly reduced visibility and low wind speed. Moderate inclement weather means that some flights may be affected and the probability of delays increases, such as moderate rain, snowfall, significantly reduced visibility (such as less than 5 kilometers) and moderate wind speed (such as more than 20 kilometers per hour). Severe inclement weather refers to large-scale delays or cancellations of flights and airspace restrictions, such as heavy rain, heavy snow, storms, extremely low visibility (such as less than 1 kilometer) and extreme climate (such as thunderstorms, hail). Minor congestion means that airlines can alleviate it by adjusting routes or flight altitudes, such as a slight increase in air traffic flow, normal flight intervals, and delays of less than 15 minutes. Moderate congestion means that the need for flight adjustments increases, which may cause some flights to be delayed. For example, there is a significant increase in air traffic flow, shortened flight intervals, and delays of 15 to 30 minutes. Severe congestion means that large-scale rescheduling of flights may be required, affecting overall scheduling, such as extremely large air traffic flow, significantly shortened flight intervals, and delays of more than 30 minutes. Minor emergencies refer to situations where short-term emergency measures may be required and flights are slightly affected, such as a small impact range and minor impact (such as small accidents and equipment failures). Medium emergencies refer to situations where corresponding emergency response measures need to be taken and some flights are delayed, such as a medium impact range and significant impact (such as medium-sized accidents and sudden weather changes). Severe emergencies refer to large-scale flight delays or cancellations, requiring comprehensive adjustments to routes and resources, such as wide-ranging impacts and major impacts (such as large accidents and natural disasters).

[0120] By adjusting the weight value of path safety by considering weather conditions, traffic conditions and event conditions, it can better adapt to complex traffic and environmental changes, ensure the accuracy and real-time nature of the risk value of the air transport path, and thus optimize the selection of air transport paths.

[0121] Example 2

[0122] In this embodiment, a method flow chart of a method for transport configuration of medical air transport is provided, such as Figure 4 As shown, the transport configuration method for medical air transport includes:

[0123] S1. Obtain user data and resource data, and build a task scenario model.

[0124] The priority level for treating the injured is obtained according to the severity of the injured patient's injury, the stability of his vital signs and the current availability of resources. The higher the value of the severity of the injured patient's injury, the more serious the injured patient's injury is; the higher the value of the stability of the injured patient's vital signs, the more stable the injured patient's vital signs are; the higher the value of the current resource availability, the more sufficient the resources are; the current resource availability is obtained by comparing the available resources with the total resources. When the value of the user's treatment priority is larger, it means that the necessity of giving priority to the injured patient is stronger when resources are limited; when the value of the user's treatment priority is smaller, it means that the injured patient's injury is relatively light or his vital signs are relatively stable, and resources are relatively sufficient, and the treatment can be appropriately postponed.

[0125] S2. Generate a delivery decision strategy based on the results of the mission scenario model, obtain a delivery plan, and select a delivery plan based on actual conditions.

[0126] When formulating the evacuation decision-making strategy, we first need to consider multi-objective optimization. Here, we make decisions on the evacuation plan based on the evacuation goals of prioritizing the wounded and sick, maximizing the treatment effect, maximizing resource utilization, and minimizing the transportation time. The final evacuation goal results can evaluate the advantages and disadvantages of different evacuation plans, thereby better allocating resources, optimizing the medical air transport treatment process, and helping to select the optimal evacuation plan, helping to achieve more efficient resource utilization and better treatment effects.

[0127] The above resource utilization is the ratio of used resources to total resources. The entire resource status needs to be updated in real time and summarized to the cloud for subsequent decision-making and evaluation. For resources with unavailable resource status, it is necessary to evaluate the recovery time and feasibility of the unavailable resources and consider whether it is possible to support subsequent resource configuration to ensure flexible response in resource-constrained situations. When the resource utilization is less than the resource utilization threshold, available resources are allocated first to ensure that the delivery target is met to complete the delivery plan. When the resource utilization is greater than or equal to the resource utilization threshold, it indicates that resources are in short supply and resource reconfiguration is required. The number of resources to be reconfigured is the minimum value of the number of resources required for the delivery target and the number of available resources. When the resource utilization is greater than or equal to the resource utilization threshold, it indicates that resources are in short supply and resource reconfiguration is required. If the number of resources required for the delivery target is less than or equal to the number of available resources, the reconfigured resources are allocated preferentially according to the user's rescue priority. When the number of resources required for the secondary delivery target is greater than the number of available resources, the corresponding number of resource differences needs to be scheduled from the available resources of other secondary delivery plans to ensure that the secondary delivery target is met and the secondary delivery plan is completed. After resource reconfiguration, the resource status needs to be updated in a timely manner, and the resource usage effect and the satisfaction of the secondary delivery target need to be monitored. The resource utilization threshold is dynamically adjusted according to the feedback of the monitoring effect to improve the overall resource allocation efficiency. At the same time, the minimum reserve of emergency resources needs to be set to respond to emergencies, and resource reconfiguration drills should be conducted regularly to improve the responsiveness and accuracy of the transportation configuration system.

[0128] The shortest air transport path is obtained by combining the shortest path algorithm, and the shortest air transport path is divided into multiple paths. The distance of each path segment and the weight value of the path safety of the path segment are obtained respectively. The risk value of the air transport path is obtained by weighted summing the distance of each path segment and the weight value of the path safety of the path segment. When the risk value of the newly calculated air transport path is less than the risk value of the currently calculated air transport path, the newly calculated air transport path is switched to complete the medical air transport evacuation according to the air transport path, thereby obtaining a complete evacuation plan, including the determination of the evacuation target, the monitoring results of the resource monitoring mechanism, and the air transport path for medical air transport evacuation.

[0129] S3. Perform simulation based on the mission scenario model and the selected evacuation plan to simulate the medical air transport process and visually inspect the simulation data during the simulation.

[0130] According to the mission scenario model and the selected evacuation plan, a simulation is performed to simulate the process of medical air transport evacuation. The steps of the simulation include calculating the results of the evacuation target based on the results of the mission scenario, starting the resource monitoring mechanism to determine whether resource reconfiguration is required, and the planning results of the air transport path. During the entire simulation process, the transportation time, resource consumption and user status changes are recorded in real time. The simulation process is displayed through visual charts, including graphically displaying user data, resource data, mission scenario status and user treatment priority in the mission scenario model, and displaying available evacuation plans for users to choose. Charts and graphs are used to display the advantages and disadvantages of each plan. Charts (such as line charts and bar charts) are used to dynamically display the transportation time, resource consumption and user status changes, focusing on displaying resource consumption and user status changes. At the same time, during the startup of the resource monitoring mechanism, when resource reconfiguration is required, the user is prompted by a color alarm, and the air transport path is displayed in a graphical way, clearly marking the starting point, end point and key points along the way. The simulation data in the simulation process is visually detected by the above method to help users monitor the key data in the medical air transport evacuation process in real time to ensure timely response and corresponding adjustments.

[0131] S4. After the simulation is completed, evaluate the simulation data obtained from visual inspection to optimize the evacuation decision-making strategy.

[0132] By introducing the number of available resources and the risk value of the air transport path to improve the evacuation objectives and constraints, the complex evacuation decision-making environment can be more comprehensively reflected. This optimized evacuation objective can respond to emergencies more flexibly and improve the overall efficiency of medical air transport evacuation.

[0133] By adjusting the weight value of path safety by considering weather conditions, traffic conditions and event conditions, it can better adapt to complex traffic and environmental changes, ensure the accuracy and real-time nature of the risk value of the air transport path, and thus optimize the selection of air transport paths.

[0134] For details of the transport configuration method for medical air transport, please refer to the transport configuration system for medical air transport, which will not be described in detail here.

[0135] Example 3

[0136] In this embodiment, a computer device is provided, including a memory and a processor, the memory is used to store instructions, and the processor is used to execute the instructions, so that the computer device executes the steps of implementing the above-mentioned transport configuration method for medical air transport.

[0137] Example 4

[0138] In this embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed, the steps of the above-mentioned transportation configuration method for medical air transport are implemented.

[0139] The computer-readable storage medium includes: a U disk, a mobile hard disk, a read-only memory, a random access memory, a magnetic disk or an optical disk, and other media for storing program codes.

[0140] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should be included in the scope of the claims of the present invention.

Claims

1. A transport configuration system for medical air transport, characterized in that: include: Scenario modeling module, evacuation decision module, simulation module and decision evaluation module; The scenario modeling module is used to obtain user data and resource data and build a task scenario model; The evacuation decision module generates an evacuation decision strategy based on the results of the mission scenario model to obtain an evacuation plan. The evacuation decision strategy includes an evacuation target, a resource monitoring mechanism, and an air transport path obtained by weighted summation of user treatment priority, treatment effect, resource utilization, and transportation time; The simulation module performs simulation according to the mission scenario model and the selected evacuation plan, simulates the process of medical air transport evacuation, and visually detects the simulation data during the simulation; The decision evaluation module is used to evaluate the deduction data obtained by visual detection after the simulation is completed to optimize the transport decision strategy.

2. The transport configuration system for medical air transport as claimed in claim 1, characterized in that: The user data includes injuries and vital signs, and the resource data includes air transport medical resources and health resources. The task scenario model is constructed by using the acquired user data and resource data. The function expression of the task scenario model is as follows: TS = {U, R, S, T, P}; Where TS represents the task scenario, U represents the set of user data, R represents the set of resource data, S represents the task scenario state, T represents the generation time of the task scenario, and P represents the user rescue priority.

3. The transport configuration system for medical air transport as claimed in claim 2, characterized in that: A delivery decision strategy is generated based on the result of the mission scenario model to obtain a delivery plan. The delivery decision strategy includes: The evacuation target is obtained by weighted summation of the user's treatment priority, treatment effect, resource utilization and transportation time, and the constraints of the evacuation target are determined. At the same time, a resource monitoring mechanism is established to monitor the resource status in real time to complete resource reconfiguration, and air transport routes are planned to complete medical air transport evacuation and obtain a evacuation plan.

4. The transport configuration system for medical air transport as claimed in claim 3, characterized in that: The function expression of the backward target is as follows: z=w1×P+w2×E+w3×u-w4×t; Where z represents the result of the evacuation target, w1 represents the weight coefficient of the user's rescue priority, w2 represents the weight coefficient of the rescue effect, E represents the rescue effect, w3 represents the weight coefficient of resource utilization, u represents resource utilization, w4 represents the weight coefficient of transportation time, and t represents transportation time.

5. The transport configuration system for medical air transport as claimed in claim 4, characterized in that: The resource monitoring mechanism includes: Monitor the resource status rs and resource utilization u in real time. If rs = 0, that is, the resource status is unavailable, recalculate the result of the backward delivery target; If rs=1, that is, the resource status is available, then determine whether resource reconfiguration is required; Configure the resource utilization threshold u0, compare the resource utilization rate u with the resource utilization threshold u0 to determine whether resource reconfiguration is needed. If u<u0, prioritize the allocation of available resources to meet the delivery target and complete the delivery plan; If u≥u0, resource reconfiguration is started.

6. The transport configuration system for medical air transport as claimed in claim 5, characterized in that: The logic of resource reconfiguration includes: Count the number of resources R required to send to the target d , and adjust the number of available resources R1, then the number of reconfigured resources is min(R d ,R1), if R d ≤R1, the reconfigured resources are allocated first according to the user's treatment priority, and the resource status is updated; If R d > R1, then the number of resources required to send the target is R d Subtract the available resources R1 to get the resource difference R d -R1, reconfigure resources according to the amount of resource difference and update resource status.

7. The transport configuration system for medical air transport as claimed in claim 6, characterized in that: The air transport path planning strategy includes: The distance of each path segment and the weight value of the path safety of the path segment are calculated. The risk value of the air transport path is obtained by weighted summing the distance of each path segment and the weight value of the path safety of the path segment. The planning result of the air transport path is selected according to the risk value of the air transport path.

8. The transport configuration system for medical air transport as claimed in claim 7, characterized in that: The logic for optimizing the evacuation decision strategy includes: Comprehensively consider the user's rescue priority, rescue effect, resource utilization, transportation time, the number of available resources and the risk value of the air transport path to optimize the evacuation target, and adjust the weight value of the path safety according to the safety factors of the air transport path. The safety factors of the air transport path include weather conditions, traffic conditions and event conditions to optimize the planning results of the air transport path.

9. The transport configuration system for medical air transport as claimed in claim 8, characterized in that: The function expression of the optimized backhaul target is as follows: In the formula, z' represents the result of the optimized delivery target, w5 represents the weight coefficient of available resources, w6 represents the weight coefficient of the risk value of the air transport path, D represents the risk value of the air transport path, and D max Indicates the risk value threshold.

10. A method for transport configuration for medical air transport, implemented based on the transport configuration system for medical air transport according to any one of claims 1 to 9, characterized in that: include: S1, obtain user data and resource data, and build a task scenario model; S2, generating a evacuation decision strategy based on the results of the mission scenario model and obtaining a evacuation plan; S3. Perform simulation based on the mission scenario model and the selected evacuation plan to simulate the process of medical air transport and visually inspect the simulation data during the simulation. S4. After the simulation is completed, evaluate the simulation data obtained from visual inspection to optimize the evacuation decision-making strategy.

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