A method and system for recommending patient transfer routes based on artificial intelligence

Abstract

This invention provides a method and system for recommending patient transfer routes based on artificial intelligence. The method includes: collecting information on a first group of wounded and sick patients, including patient location information and patient condition information; collecting first transfer location information; initially planning multiple route options based on the patient location information and the first transfer location information; setting multi-dimensional optimization conditions, including patient condition information and transfer time information; optimizing among the multiple route options based on the multi-dimensional optimization conditions to obtain the optimal route option; and using the optimal route option to transfer the wounded and sick patients. This application solves the technical problems of inaccuracy and lack of intelligence in existing methods for determining patient transfer routes, thus reducing the efficiency of patient transfer.

Description

Technical Field

[0001] This invention relates to the field of artificial intelligence technology, specifically to a method and system for recommending transfer routes for wounded and sick personnel based on artificial intelligence. Background Technology

[0002] In real life, there will be situations where it is necessary to transfer the wounded or sick to medical institutions as quickly as possible to ensure their life and health.

[0003] Currently, navigation software is generally used to plan the routes for transferring the wounded and sick, and the route that is closest to the medical facility is usually selected.

[0004] Existing methods for determining the routes for transferring wounded and sick personnel generally only consider the distance to medical institutions, failing to take into account other factors such as road conditions and traffic jams. This results in technical problems such as inaccurate and unintelligent route determination, which reduces the efficiency of patient transfer. Summary of the Invention

[0005] This application provides a method and system for recommending transfer routes for wounded and sick personnel based on artificial intelligence, which addresses the technical problems of inaccuracy and lack of intelligence in existing methods for determining transfer routes for wounded and sick personnel, thereby reducing the efficiency of transfer.

[0006] In view of the above problems, this application provides a method and system for recommending transfer routes for wounded and sick personnel based on artificial intelligence.

[0007] The first aspect of this application provides an artificial intelligence-based method for recommending transfer routes for wounded and sick personnel. The method includes: collecting information on a first group of wounded and sick personnel, wherein the first group information includes location information and condition information of the wounded and sick personnel; collecting first transfer location information; initially planning and obtaining multiple route information based on the location information of the wounded and sick personnel and the first transfer location information; setting multi-dimensional optimization conditions, including the condition information of the wounded and sick personnel and transfer time information; optimizing the multiple route information according to the multi-dimensional optimization conditions to obtain optimal route information; and using the optimal route information to transfer the wounded and sick personnel.

[0008] A second aspect of this application provides an artificial intelligence-based system for recommending transfer routes for wounded and sick personnel. The system includes: a first acquisition unit for collecting information on a first group of wounded and sick personnel, wherein the first group information includes location information and condition information of the wounded and sick personnel; a second acquisition unit for collecting first transfer location information; a first processing unit for initially planning and obtaining multiple route information based on the location information of the wounded and sick personnel and the first transfer location information; a second processing unit for setting multi-dimensional optimization conditions, including the condition information of the wounded and sick personnel and transfer time information; a third processing unit for optimizing the multiple route information based on the multi-dimensional optimization conditions to obtain optimal route information; and a first execution unit for transferring wounded and sick personnel using the optimal route information.

[0009] A third aspect of this application provides an artificial intelligence-based patient transfer route recommendation system, comprising: a processor coupled to a memory for storing a program, wherein when the program is executed by the processor, the system performs the steps of the method described in the first aspect.

[0010] A fourth aspect of this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the method described in the first aspect.

[0011] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0012] The technical solution provided in this application collects information on the group of wounded and sick people who need to be transferred, including their location information and condition information, and also collects the location information of medical institutions that can be transferred. Then, based on the location information of the wounded and sick people and the location information of medical institutions, multiple route information is initially planned and obtained. Furthermore, multi-dimensional optimization conditions are set according to the transfer time information and the condition information of the wounded and sick people. Global optimization is performed within the multiple route information to obtain the optimal route, and the optimal route is used to transfer the group of wounded and sick people.

[0013] This application embodiment collects location and condition information of the wounded and sick population, and preliminarily plans multiple route information based on the location and transfer location information as the data foundation for global optimization. It also sets multi-dimensional optimization conditions based on the condition information of the wounded and sick and the transfer time information of different routes. During the global optimization process, while ensuring the condition of the wounded and sick, it strives to obtain the transfer route plan with the shortest transfer time and the best condition of the wounded and sick, thus ensuring the life and health of the wounded and sick after transfer and maximizing the efficiency of the transfer. This achieves the technical effect of accurately and intelligently formulating recommended transfer routes for the wounded and sick, thereby improving the quality and efficiency of the transfer.

[0014] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application. Attached Figure Description

[0015] Figure 1 A flowchart illustrating an artificial intelligence-based method for recommending patient transfer routes provided in this application;

[0016] Figure 2 A flowchart illustrating the process of obtaining multi-dimensional optimization conditions in an AI-based method for recommending transfer routes for wounded and sick personnel, as provided in this application.

[0017] Figure 3 A flowchart illustrating the optimization of multiple route information in an AI-based method for recommending transfer routes for wounded and sick personnel, as provided in this application.

[0018] Figure 4 This application provides a schematic diagram of the structure of an artificial intelligence-based patient transfer route recommendation system;

[0019] Figure 5 This is a schematic diagram of the structure of an exemplary electronic device of this application.

[0020] Explanation of reference numerals in the attached drawings: First obtaining unit 11, Second obtaining unit 12, First processing unit 13, Second processing unit 14, Third processing unit 15, First execution unit 16, Electronic device 300, Memory 301, Processor 302, Communication interface 303, Bus architecture 304. Detailed Implementation

[0021] This application provides an artificial intelligence-based method and system for recommending transfer routes for wounded and sick personnel, which addresses the technical problems of inaccuracy and lack of intelligence in existing methods for determining transfer routes for wounded and sick personnel, thereby reducing the efficiency of transfer.

[0022] Application Overview

[0023] In production operations, accidental injuries are common due to unforeseen circumstances. For patients with acute illnesses, external factors such as stimuli can cause a sudden worsening of their condition. In both cases, it is crucial to transfer the injured or ill to a medical facility as quickly as possible to ensure their life and health.

[0024] Currently, navigation software is generally used to plan the routes for transferring the wounded and sick, and the route that is closest to the medical facility is usually selected.

[0025] Existing methods for determining the routes for transferring wounded and sick personnel generally only consider the distance to medical institutions, failing to take into account other factors such as road conditions and traffic jams. This results in technical problems such as inaccurate and unintelligent route determination, which reduces the efficiency of patient transfer.

[0026] To address the aforementioned technical problems, the overall approach of the technical solution provided in this application is as follows:

[0027] The technical solution provided in this application collects information on the group of wounded and sick people who need to be transferred, including their location information and condition information, and also collects the location information of medical institutions that can be transferred. Then, based on the location information of the wounded and sick people and the location information of medical institutions, multiple route information is initially planned and obtained. Furthermore, multi-dimensional optimization conditions are set according to the transfer time information and the condition information of the wounded and sick people. Global optimization is performed within the multiple route information to obtain the optimal route, and the optimal route is used to transfer the group of wounded and sick people.

[0028] After introducing the basic principles of this application, the technical solutions in this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments of this application. It should be understood that this application is not limited to the exemplary embodiments described herein. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application. It should also be noted that, for ease of description, only the parts related to this application are shown in the accompanying drawings, not all of them.

[0029] Example 1

[0030] like Figure 1 As shown, this application provides a method for recommending transfer routes for wounded and sick personnel based on artificial intelligence, the method comprising:

[0031] S100: Collect and obtain information on the first group of wounded and sick, wherein the information on the first group of wounded and sick includes the location information and condition information of the wounded and sick;

[0032] In this embodiment of the application, the first group of wounded and sick persons may include those who are injured due to any external factors, or those who suffer from any disease and need to be transferred to a medical institution for treatment, as in the prior art.

[0033] For example, the injured in the first group of injured and sick may include those who are injured in a traffic accident and need to be transferred to a hospital for emergency treatment, and the patients in the first group of injured and sick may be those who need to be transferred to a hospital for emergency treatment due to an acute illness.

[0034] Step S100 in the method provided in this application embodiment includes:

[0035] S110: Collect and obtain information on the number of wounded and sick within the first group of wounded and sick;

[0036] S120: Collect and obtain the location information of the wounded and sick within the first group of wounded and sick;

[0037] S130: Collect and obtain multiple Class I injury and illness information of multiple wounded and sick persons within the first wounded and sick persons group;

[0038] S140: Collect multiple second-type injury and illness information of the multiple wounded and sick personnel;

[0039] S150: The information on the number of wounded and sick, the location information of wounded and sick, multiple types of first-class injuries and sickness information, and multiple types of second-class injuries and sickness information are used as the information on the first group of wounded and sick.

[0040] In this embodiment of the application, the number of wounded and sick persons in the first wounded and sick persons group is first collected, specifically the number of wounded persons and the number of sick persons, to obtain the number of wounded and sick persons.

[0041] The location information of multiple wounded and sick individuals within the first group of wounded and sick is collected to obtain the location information of the wounded and sick. Since the first group of wounded and sick includes multiple individuals, each individual's location may be the same or different. For example, if wounded and sick individuals at two locations within a certain area simultaneously require transfer, then the location information of the wounded and sick at those two locations constitutes the total location information of the wounded and sick. The medical institutions to which wounded and sick individuals at different locations are transferred may differ, and therefore the transfer routes will also differ.

[0042] Furthermore, the injury or illness type of multiple wounded and sick persons within the first group of wounded and sick persons is collected. Specifically, this may include the injury type information of multiple wounded persons, such as fractures, and the illness type information of multiple patients, such as asthma, to obtain multiple first-class injury and illness information of multiple wounded and sick persons.

[0043] Furthermore, information on the severity of injuries and illnesses of multiple wounded and sick individuals within the first group of wounded and sick is collected. For example, if a patient's illness type information is an asthma attack, the verification degree of that patient's asthma attack is further collected as a second type of injury and illness information. In this way, second-type injury and illness information of multiple wounded and sick individuals is collected.

[0044] Information on both types of injuries and illnesses can be obtained through preliminary and simple diagnostic tests conducted by experts in relevant fields, such as the medical field, at the injured or ill person's location, or through preliminary and simple diagnostic tests conducted remotely.

[0045] The above-mentioned information on the number of wounded and sick, the location of wounded and sick, multiple types of first-class injuries and illnesses, and multiple types of second-class injuries and illnesses are used as the first group of wounded and sick.

[0046] This application embodiment can quickly and accurately obtain key basic information about the group of wounded and sick to be transferred by collecting information on the number of wounded and sick, their location, and the types of injuries and illnesses (first, second, and third categories). This information serves as the data basis for setting transfer routes and plans, reduces the collection of other redundant information, avoids reducing the efficiency of transfer route planning, and further improves the accuracy of transfer route planning.

[0047] S200: Acquire information about the first transfer location;

[0048] In this embodiment of the application, the first transfer location information is the location of the medical institution to which the first group of wounded and sick patients is to be transferred. In fact, the first transfer location information may include one location information or multiple location information.

[0049] For example, if the location information of the wounded and sick in the first group of wounded and sick includes the location information of multiple wounded and sick, and there are different medical institutions near the locations of different wounded and sick, then the wounded and sick will be transferred to the nearest medical institution first to improve the transfer efficiency and ensure the life and health of the wounded and sick. In this case, the first transfer location information includes multiple location information.

[0050] For example, if the first type of injury or illness information of a certain patient in the first group of injured and sick includes a specific type of injury or illness, such as a thoracic disease, requiring transfer to a special thoracic-related medical institution for rescue and treatment, then the first transfer location information includes the location information of a general medical institution used to transfer other injured and sick, and the location information of a special medical institution used to transfer patients with specific types of injuries or illnesses.

[0051] S300: Based on the location information of the wounded and sick and the first transfer location information, multiple route information is initially planned and obtained;

[0052] Specifically, based on the aforementioned location information of the wounded and sick, and the aforementioned first transfer location information, preliminary planning is carried out. Based on multiple location information within the wounded and sick location information, multiple location information within the first transfer location information, and multiple first-type injury and illness information within the wounded and sick condition information, multiple preliminary route information are obtained by combining them separately.

[0053] During the combination process, the location information of the same wounded soldier may correspond to multiple transfer routes from the same location to the same transfer location, and the road conditions of each route are different. Based on the statistical principle of combination, multiple wounded soldier location information and multiple transfer location information are combined to obtain multiple route information. Each route information is not a single route, but a transfer route plan, which includes information on transferring multiple wounded soldiers to multiple transfer locations according to multiple routes. Different route information may contain some identical routes and some different routes.

[0054] S400: Set multi-dimensional optimization conditions, including the patient's condition information and transfer time information;

[0055] like Figure 2 As shown, step S400 in the method provided in this application embodiment includes:

[0056] S410: Based on the injury and illness types within the multiple first-class injury and illness information, perform weight allocation to obtain the first weight allocation result;

[0057] S420: Adjust the first weight allocation result according to the severity of the multiple second-type injury and illness information to obtain a second weight allocation result;

[0058] S430: The wounded and sick in the first wounded and sick group are marked using the second weight allocation result to obtain the wounded and sick status information;

[0059] S440: Transfer the wounded and sick using the multiple route information respectively, and obtain multiple transfer times;

[0060] S450: Obtain the transfer time information based on the plurality of transfer times.

[0061] Specifically, multi-dimensional optimization conditions are used to evaluate the optimization effect of the obtained route during the optimization process involving multiple routes. Multi-dimensional optimization conditions include information on the condition of the wounded and sick, and transfer time information.

[0062] The patient status information reflects the condition of the patients after transfer. Generally speaking, the longer the transfer time and the worse the road conditions, the worse the condition of the patients after transfer, and the worse the optimization effect. The transfer time information is the time taken for the transfer process. It can be the total time taken to complete the transfer of all patients or the average transfer time. The longer the transfer time, the worse the optimization effect.

[0063] Based on the injury and illness types within the multiple first-class injury and illness information mentioned above, weights are assigned according to the severity of different injury and illness types. For example, the severity of fractures is greater than that of general trauma. This results in the first weight allocation result.

[0064] For example, in the specific weight allocation process, any weight allocation method in the prior art can be used, such as the G1 weight method, the AHP hierarchical method, etc., but not limited to this.

[0065] Then, based on the severity of each patient's injury or illness within the multiple categories of second-class injury and illness information, the first weight allocation result is adjusted to obtain the second weight allocation result. Specifically, during the adjustment process, if the severity of a patient's injury or illness is low, the weight value of that patient's first-class injury or illness information in the first weight allocation result is reduced accordingly; conversely, if the severity is high, the weight value of that patient's first-class injury or illness information in the first weight allocation result is increased.

[0066] The second weighting allocation result is used to mark the wounded and sick within the first group of wounded and sick, obtaining the aforementioned information on their condition. During the optimization of multiple routes, the condition information of the transferred wounded and sick is combined with the aforementioned second weighting allocation result for weighted adjustments. This assesses the condition of the wounded and sick after transfer via different routes, thereby evaluating the route optimization effect. For example, if the weight value in the second weighting allocation result corresponding to a wounded or sick person is large, then the weight of that person's post-transfer physical condition in evaluating the route optimization effect is relatively large.

[0067] In the simulation, multiple routes were used to transfer the wounded and sick, resulting in multiple transfer times. Based on these multiple transfer times, the aforementioned transfer time information was obtained. During the simulation, the actual traffic conditions and road conditions of each route were simulated to obtain multiple transfer times.

[0068] In the actual process of optimizing the transfer route, it is not just about optimizing one route. Because the number of ambulances is limited and the injured and sick have multiple location information, as well as multiple transfer locations, it is necessary to optimize multiple routes to obtain a transfer route plan that can quickly transfer multiple injured people with different conditions to multiple transfer locations, ensuring that the transfer time is as short as possible, while ensuring that each injured and sick person is in good condition.

[0069] Based on the aforementioned transfer time information and patient condition information, multi-dimensional optimization conditions are set as evaluation criteria for optimizing multiple route information. When optimizing the obtained route information, the merits of the optimized transfer route plan are evaluated based on the multi-dimensional optimization conditions, which then serve as the evaluation criteria for obtaining the optimal route information, thereby improving the intelligence and accuracy of transfer route formulation.

[0070] S500: Based on the multi-dimensional optimization conditions, optimize the multiple route information to obtain the optimal route information;

[0071] Step S500 in the method provided in this application embodiment includes:

[0072] S510: Set optimization constraints based on the multi-dimensional optimization conditions;

[0073] S520: Based on the optimization constraints, constrain the multiple route information to obtain the optimization space;

[0074] S530: Within the optimization space, optimize according to the multi-dimensional optimization conditions to obtain the optimal route information.

[0075] Based on the aforementioned multi-dimensional optimization conditions, optimization constraints are set for the route optimization process, which must be carried out under these constraints.

[0076] Based on the optimization constraints, multiple route information is constrained to set up an optimization space. This optimization space includes multiple route information, but the number is less than the number of route information obtained in the initial planning. All route information in the optimization space satisfies the optimization constraints, and some route information that does not satisfy the optimization constraints is removed.

[0077] Furthermore, within this optimization space, various route information is optimized and selected based on the aforementioned multi-dimensional optimization conditions as evaluation criteria for the optimization effect.

[0078] Step S510 in the method provided in this application embodiment includes:

[0079] S511: Based on the information on the condition of the wounded and sick, set thresholds for the condition information of multiple wounded and sick after transfer;

[0080] S512: Based on the transfer time information, set transfer time thresholds for multiple wounded and sick personnel during the transfer process;

[0081] S513: Use the status information threshold and the transfer time threshold as the optimization constraints.

[0082] In this embodiment, based on the first and second category injury / illness information of each patient within the aforementioned patient status information, a status information threshold is set for each patient after transfer. This ensures that the patient's status after transfer does not fall below this threshold, thus guaranteeing the patient's life and health. This status information threshold can be set according to the specific injury / illness condition of each patient.

[0083] Based on the aforementioned transfer time information, transfer time thresholds are set for the transfer of multiple wounded and sick personnel. This transfer time information may include the transfer time for each wounded and sick personnel transferred along different routes. A time threshold is set based on the levels of multiple transfer times to ensure that the transfer time for wounded and sick personnel is less than this threshold, thereby constraining the efficiency of patient transfer and preventing excessively long transfer times. This time threshold can be set based on the length of multiple transfer times.

[0084] Based on these multiple condition information thresholds and transition time thresholds, optimization constraints are set. During optimization across multiple route options, the optimal route option must be obtained while ensuring that the condition information thresholds and transition time thresholds are met.

[0085] This application embodiment, by setting optimization constraints including thresholds for patient status information and transfer time, can ensure that the optimized route information meets the basic requirements of the optimization constraints, thereby improving transfer efficiency and effectiveness while ensuring that patients are transferred well.

[0086] like Figure 3 As shown, step S530 in the method provided in this application embodiment includes:

[0087] S531: Within the optimization space, randomly obtain route information as the first route information and use it as the current optimization result;

[0088] S532: Calculate the optimization effect of the first route information based on the multi-dimensional optimization conditions;

[0089] S533: Within the optimization space, randomly obtain a route information as the second route information;

[0090] S534: Calculate the optimization effect of the second route information based on the multi-dimensional optimization conditions;

[0091] S535: If the optimization effect of the second route information meets the preset conditions, the second route information replaces the first route information and is used as the current optimization result;

[0092] S536: Perform multiple iterations of optimization. If the current optimization result meets the preset optimization conditions, then the current optimization result is taken as the optimal route information.

[0093] Specifically, the optimization space includes multiple route information that meet the optimization constraints. Within the optimization space, a route information is randomly selected as the first route information and used as the current optimization result.

[0094] Based on the aforementioned multi-dimensional optimization conditions, the optimization effect of the first route information is calculated. Specifically, the first route information is simulated for transport, and the physical condition information of multiple wounded and sick soldiers after transport is obtained. The physical condition information of each wounded and sick soldier after transport is then weighted according to the second weight allocation result, and the calculation result is used as part of the optimization effect of the first route information. The transport time of the simulated first route information is also collected and used as another part of the optimization effect of the first route information.

[0095] Based on the optimization results, the effectiveness of the first route information as a transit plan can be obtained. Specifically, the optimization results can be quantified to visualize the transit effect of the first route information.

[0096] Then, within the optimization space, we continue to randomly obtain route information as the second route information, and use multi-dimensional optimization conditions to calculate the optimization effect of the second route information using the aforementioned steps.

[0097] Determine whether the optimization effect of the second route information meets the preset conditions. If it does, replace the first route information with the second route information as the current optimization result. If it does not meet the conditions, discard the second route information, still use the first route information as the current optimization result, and continue to randomly obtain the third route information for judgment.

[0098] The preset conditions include: if the optimization effect of the second route information is better than that of the first route information, the second route information will be used as the current optimization result; and if the optimization effect of the second route information is worse than that of the first route information, the second route information will be used as the current optimization result according to a probability. This probability is calculated by the following formula:

[0099]

[0100] Where e is the natural logarithm, R2 is the optimization effect of the second route information, R1 is the optimization effect of the first route information, and T is the optimization speed factor.

[0101] If the optimization effect of the second route information is better than that of the first route information, it indicates that the transfer plan of the second route information is better. This may be reflected in one or both of the following two aspects: better information on the condition of the wounded and sick after transfer or shorter transfer time. The second route information can be used to replace the first route information as the current optimization result.

[0102] If the optimization effect of the second route information is worse than that of the first route information, it indicates that the transfer plan of the first route information is better. However, since it is a random selection, it is likely not the optimal route plan. In this case, instead of directly abandoning the second route information, we use the second route information as the current optimization result according to probability, so as to avoid the optimization from stagnating on the first route information, improve the optimization efficiency, and thus improve the transfer efficiency.

[0103] T is the optimization speed factor, which can be a variable constant that gradually decreases. In the early stages of optimization, a larger T ensures a higher probability of accepting the second route information instead of the first, improving optimization efficiency and preventing stagnation. In the later stages of optimization, a smaller T means that if the optimization effect of the newly obtained route information is worse than that of the current optimization result, since it's in the later stages of optimization, the probability of the current optimization result being the optimal route is higher. Therefore, there's a lower probability of accepting the worse route information as the current optimization result, improving the accuracy of obtaining the best route.

[0104] For example, T can be reduced exponentially or in other ways as known in the art.

[0105] After multiple iterations of optimization, if the current optimization result meets the preset optimization conditions, which can be that the current optimization result has not changed in multiple optimizations, it indicates that the optimization effect of the route information in the current optimization result is excellent and is the optimal route information. No better route information has been found in multiple optimizations, and the probability of accepting poor route information in the later stages of optimization is also small. Therefore, the current optimization result is taken as the optimal route information.

[0106] Optionally, the number of optimizations in the preset conditions can be set according to the amount of route information within the optimization space.

[0107] S600: Use the aforementioned optimal route information to transfer the wounded and sick.

[0108] Based on the optimal route information, the transfer of each wounded soldier within the first group of wounded soldiers is carried out.

[0109] In summary, this application embodiment collects location and condition information of the wounded and sick population, and preliminarily plans multiple route information based on the location and transfer location information as the data foundation for global optimization. It then sets multi-dimensional optimization conditions based on the condition information of the wounded and sick and the transfer time information of different routes, and sets optimization constraints based on these conditions, constructing a constraint space for global optimization. Specific optimization methods are set to improve optimization efficiency. Furthermore, during the global optimization process, while ensuring the condition of the wounded and sick, the application strives to obtain the transfer route plan with the shortest transfer time and the best condition for the wounded and sick, thus ensuring the life and health of the wounded and sick after transfer and maximizing the efficiency of transfer. This achieves the technical effect of accurately and intelligently formulating recommended transfer routes for the wounded and sick, thereby improving the quality and efficiency of transfer.

[0110] Example 2

[0111] Based on the same inventive concept as the artificial intelligence-based method for recommending patient transfer routes in the foregoing embodiments, such as... Figure 4 As shown, this application provides an artificial intelligence-based system for recommending transfer routes for wounded and sick personnel, wherein the system includes:

[0112] The first acquisition unit 11 is used to collect and acquire information on the first group of wounded and sick, wherein the information on the first group of wounded and sick includes the location information and condition information of the wounded and sick.

[0113] The second acquisition unit 12 is used to collect and acquire the first transfer location information;

[0114] The first processing unit 13 is used to initially plan and obtain multiple route information based on the location information of the wounded and sick and the first transfer location information;

[0115] The second processing unit 14 is used to set multi-dimensional optimization conditions, which include the patient's condition information and transfer time information.

[0116] The third processing unit 15 is used to optimize the multiple route information according to the multi-dimensional optimization conditions to obtain the optimal route information.

[0117] The first execution unit 16 is used to transfer the wounded and sick using the optimal route information.

[0118] Furthermore, the system also includes:

[0119] The third acquisition unit is used to collect and obtain information on the number of wounded and sick persons within the first group of wounded and sick persons.

[0120] The fourth acquisition unit is used to collect and acquire the location information of the wounded and sick within the first group of wounded and sick, and obtain the location information of the wounded and sick;

[0121] The fifth acquisition unit is used to collect and acquire multiple Class I injury and illness information of multiple wounded and sick persons within the first wounded and sick persons group;

[0122] The sixth acquisition unit is used to collect multiple types of second-class injury and illness information of the multiple wounded and sick soldiers;

[0123] The fourth processing unit is used to use the number of wounded and sick persons, the location information of wounded and sick persons, multiple types of first-class injury and sick persons information, and multiple types of second-class injury and sick persons information as the first group information of wounded and sick persons.

[0124] Furthermore, the system also includes:

[0125] The fifth processing unit is used to perform weight allocation based on the injury type within the plurality of first-class injury and illness information to obtain a first weight allocation result;

[0126] The sixth processing unit is used to adjust the first weight allocation result according to the severity of the plurality of second-type injury and illness information to obtain a second weight allocation result;

[0127] The seventh processing unit is used to mark the wounded and sick in the first wounded and sick group using the second weight allocation result, and to obtain the wounded and sick status information;

[0128] The eighth processing unit is used to transfer the wounded and sick using the multiple route information respectively, and to obtain multiple transfer times;

[0129] The seventh obtaining unit is used to obtain the transfer time information based on the plurality of transfer times.

[0130] Furthermore, the system also includes:

[0131] The ninth processing unit is used to set optimization constraints based on the multi-dimensional optimization conditions.

[0132] The tenth processing unit is used to constrain the multiple route information according to the optimization constraints to obtain the optimization space;

[0133] The eleventh processing unit is used to optimize within the optimization space according to the multi-dimensional optimization conditions to obtain the optimal route information.

[0134] Furthermore, the system also includes:

[0135] The twelfth processing unit is used to set threshold values ​​for the status information of multiple wounded and sick persons after transfer, based on the status information of the wounded and sick persons.

[0136] The thirteenth processing unit is used to set transfer time thresholds during the transfer process of multiple wounded and sick soldiers based on the transfer time information.

[0137] The fourteenth processing unit is used to use the status information threshold and the transfer time threshold as the optimization constraints.

[0138] Furthermore, the system also includes:

[0139] The eighth obtaining unit is used to randomly obtain a route information within the optimization space, as the first route information, and as the current optimization result;

[0140] The fifteenth processing unit is used to calculate the optimization effect of the first route information based on the multi-dimensional optimization conditions.

[0141] The ninth obtaining unit is used to randomly obtain a route information within the optimization space as the second route information;

[0142] The sixteenth processing unit is used to calculate the optimization effect of the second route information based on the multi-dimensional optimization conditions.

[0143] The seventeenth processing unit is used to replace the first route information with the second route information as the current optimization result if the optimization effect of the second route information meets the preset conditions.

[0144] The eighteenth processing unit is used to perform multiple iterative optimizations. If the current optimization result meets the preset optimization conditions, the current optimization result is used as the optimal route information.

[0145] Example 3

[0146] Based on the same inventive concept as the artificial intelligence-based method for recommending transfer routes for wounded and sick personnel in the foregoing embodiments, this application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the method as described in Embodiment 1.

[0147] Exemplary electronic devices

[0148] The following is for reference. Figure 5 To describe the electronic device of this application,

[0149] Based on the same inventive concept as the artificial intelligence-based method for recommending patient transfer routes in the foregoing embodiments, this application also provides an artificial intelligence-based patient transfer route recommendation system, including: a processor coupled to a memory for storing a program, wherein when the program is executed by the processor, the system performs the steps of the method described in Embodiment 1.

[0150] The electronic device 300 includes a processor 302, a communication interface 303, and a memory 301. Optionally, the electronic device 300 may also include a bus architecture 304. The communication interface 303, processor 302, and memory 301 can be interconnected via the bus architecture 304; the bus architecture 304 can be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus architecture 304 can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 5 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0151] Processor 302 may be a CPU, microprocessor, ASIC, or one or more integrated circuits used to control the execution of programs according to the present application.

[0152] Communication interface 303 uses any transceiver-like device for communicating with other devices or communication networks, such as Ethernet, radio access network (RAN), wireless local area network (WLAN), wired access network, etc.

[0153] Memory 301 can be ROM or other types of static storage devices capable of storing static information and instructions, RAM or other types of dynamic storage devices capable of storing information and instructions, or electrically erasable programmable read-only memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but not limited thereto. Memory can exist independently and be connected to the processor via bus architecture 304. Memory can also be integrated with the processor.

[0154] The memory 301 stores computer execution instructions for implementing the scheme of this application, and the processor 302 controls the execution. The processor 302 executes the computer execution instructions stored in the memory 301, thereby realizing the artificial intelligence-based method for recommending transfer routes for wounded and sick persons provided in the above embodiments of this application.

[0155] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented, in whole or in part, as a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium accessible to a computer or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid-state drive (SSD)).

[0156] Although this application has been described in conjunction with specific features and embodiments, it is obvious that various modifications and combinations can be made thereto without departing from the spirit and scope of this application. Accordingly, this specification and drawings are merely illustrative examples of this application and are considered to cover any and all modifications, variations, combinations, or equivalents within the scope of this application. Clearly, those skilled in the art can make various alterations and modifications to this application without departing from its scope. Thus, if such modifications and modifications fall within the scope of this application and its equivalents, this application intends to include such modifications and modifications.

Claims

1. An artificial intelligence-based wounded person transfer route recommendation method, characterized by, The method comprises: collecting first casualty group information, wherein the first casualty group information comprises casualty position information and casualty condition information; collecting first transfer position information; preliminarily planning to obtain a plurality of route information according to the casualty position information and the first transfer position information; setting a multi-dimensional optimization condition, wherein the multi-dimensional optimization condition comprises the casualty condition information and transfer time information; optimizing the plurality of route information according to the multi-dimensional optimization condition to obtain optimal route information; transferring the casualties by using the optimal route information; the optimization of the plurality of route information according to the multi-dimensional optimization condition comprises: setting an optimization constraint condition according to the multi-dimensional optimization condition; constraining the plurality of route information according to the optimization constraint condition to obtain an optimization space; optimizing in the optimization space according to the multi-dimensional optimization condition to obtain the optimal route information; the setting of the optimization constraint condition according to the multi-dimensional optimization condition comprises: setting a condition information threshold of a plurality of casualties after transfer according to the casualty condition information; setting a transfer time threshold of a plurality of casualties in a transfer process according to the transfer time information; taking the condition information threshold and the transfer time threshold as the optimization constraint condition; the optimization in the optimization space according to the multi-dimensional optimization condition comprises: randomly obtaining a route information in the optimization space as first route information and as a current optimization result; calculating an optimization effect of the first route information according to the multi-dimensional optimization condition; randomly obtaining a route information in the optimization space as second route information; calculating an optimization effect of the second route information according to the multi-dimensional optimization condition; if the optimization effect of the second route information meets a preset condition, replacing the first route information with the second route information as the current optimization result; iteratively optimizing a plurality of times, and if a current optimization result meets an optimization preset condition, taking the current optimization result as the optimal route information; the preset condition comprises: if the optimization effect of the second route information is better than the optimization effect of the first route information, taking the second route information as the current optimization result; if the optimization effect of the second route information is worse than the optimization effect of the first route information, taking the second route information as the current optimization result according to a probability; wherein the probability is calculated according to the following formula: ， where e is the natural logarithm, R 2 is the optimization effect of the second route information, R 1 is the optimization effect of the first route information, and T is an optimization speed factor.

2. The method of claim 1, wherein, the collection of the first casualty group information comprises: collecting a number of casualties in the first casualty group; collecting position information of the casualties in the first casualty group to obtain the casualty position information; collecting a plurality of first type injury information of a plurality of casualties in the first casualty group; collecting a plurality of second type injury information of the plurality of casualties; taking the number of casualties, the casualty position information, the plurality of first type injury information and the plurality of second type injury information as the first casualty group information.

3. The method of claim 2, wherein, the setting of the multi-dimensional optimization condition comprises: According to the injury types in the plurality of first type injury information, weight distribution is performed to obtain a first weight distribution result; According to the severity in the plurality of second type injury information, the first weight distribution result is adjusted to obtain a second weight distribution result; The second weight distribution result is used to mark the injured soldiers in the first group of injured soldiers to obtain the injured soldier condition information; The plurality of route information is used to transfer the injured soldiers respectively to obtain a plurality of transfer times; According to the plurality of transfer times, the transfer time information is obtained.

4. An artificial intelligence-based wounded person transfer route recommendation system characterized by, The system comprises: A first obtaining unit is configured to collect first injured soldier group information, wherein the first injured soldier group information comprises injured soldier position information and injured soldier condition information; A second obtaining unit is configured to collect first transfer position information; A first processing unit is configured to preliminarily plan a plurality of route information according to the injured soldier position information and the first transfer position information; A second processing unit is configured to set a multi-dimensional optimization condition, wherein the multi-dimensional optimization condition comprises the injured soldier condition information and transfer time information; A third processing unit is configured to optimize the plurality of route information according to the multi-dimensional optimization condition to obtain optimal route information; A first execution unit is configured to use the optimal route information to transfer the injured soldiers; The optimization of the plurality of route information according to the multi-dimensional optimization condition comprises: Setting an optimization constraint condition according to the multi-dimensional optimization condition; Constraining the plurality of route information according to the optimization constraint condition to obtain an optimization space; Optimizing in the optimization space according to the multi-dimensional optimization condition to obtain the optimal route information; The setting of the optimization constraint condition according to the multi-dimensional optimization condition comprises: Setting a condition information threshold of the plurality of injured soldiers after transfer according to the injured soldier condition information; Setting a transfer time threshold of the plurality of injured soldiers in the transfer process according to the transfer time information; Taking the condition information threshold and the transfer time threshold as the optimization constraint condition; The optimization in the optimization space according to the multi-dimensional optimization condition comprises: Randomly obtaining a route information in the optimization space as first route information and as a current optimization result; Calculating the optimization effect of the first route information according to the multi-dimensional optimization condition; Randomly obtaining a route information in the optimization space as second route information; Calculating the optimization effect of the second route information according to the multi-dimensional optimization condition; If the optimization effect of the second route information meets a preset condition, the second route information replaces the first route information as the current optimization result; Performing multiple iterations of optimization, and if the current optimization result meets an optimization preset condition, taking the current optimization result as the optimal route information; The preset condition comprises: If the optimization effect of the second route information is better than the optimization effect of the first route information, taking the second route information as the current optimization result; if the optimization effect of the second route information is worse than the optimization effect of the first route information, the second route information is taken as the current optimization result according to a probability; wherein the probability is calculated according to the following formula: ， where e is the natural logarithm, R 2 is the optimization effect of the second route information, R 1 is the optimization effect of the first route information, and T is an optimization speed factor.

5. An artificial intelligence-based wounded person transfer route recommendation system characterized by, comprising: a processor coupled to the memory, the memory for storing a program which when executed by the processor causes the system to perform the steps of the method of any one of claims 1 to 3.

6. A computer-readable storage medium, characterized in that, The storage medium has a computer program stored thereon, and the computer program is executed by a processor to implement the steps of the method of any one of claims 1 to 3.

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