Aviation medicine emergency rescue scheduling method and system
By calculating the timeliness, resource fit and regional linkage between the aviation rescue base station and the affected points, the aviation medical emergency rescue scheduling is optimized, and the existing scheduling efficiency is solved, which significantly improves the overall efficiency of aviation medical emergency rescue.
Patent Information
- Application Number
- CN202411595457.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-11
- Publication Date
- 2024-12-17
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing aviation medical emergency rescue scheduling methods are less efficient when demand is too high and cannot be properly dispatched, resulting in an overall inefficiency.
By obtaining information about aviation rescue base stations and disaster-affected points, calculate timeliness, resource fit and regional linkage, generate rescue matching, and optimize rescue scheduling plans to improve efficiency.
Considering the three dimensions of timeliness, resource fit and regional linkage, the overall efficiency of aviation medical emergency rescue has been significantly improved and more reasonable rescue scheduling has been achieved.
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Figure CN119151234A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of data processing, and in particular to an aviation medical emergency rescue dispatching method and system. Background Art
[0002] Aeromedical emergency rescue is a service that combines the advantages of air transportation and medical rescue, aiming to provide rapid and efficient medical rescue. With the aging of the global population and the increasing burden of chronic diseases, the demand for aeromedical emergency rescue is growing, so it is very important to reasonably dispatch aeromedical emergency rescue.
[0003] In the existing methods, aviation medical emergency rescue is mostly "point-to-point" emergency rescue dispatch, that is, wherever there is a dangerous situation that needs rescue, an aviation rescue base station equipped with aviation medical emergency rescue is found nearby to direct the rescue.
[0004] However, existing methods are unable to reasonably dispatch aeromedical emergency rescue when the demand for aeromedical emergency rescue is too great, resulting in low overall efficiency of aeromedical emergency rescue. Summary of the invention
[0005] The embodiments of the present invention provide an aviation medical emergency rescue dispatching method and system, which can improve the overall efficiency of aviation medical emergency rescue.
[0006] One aspect of an embodiment of the present invention provides an aviation medical emergency rescue dispatching method, comprising: Obtain the base station information of each aviation rescue base station and the disaster point information of each mission disaster point; Using the information of each base station and each disaster-stricken point, determine the timeliness and first resource compatibility between the target disaster-stricken point and each aviation rescue base station, and the target disaster-stricken point is any one of the disaster-stricken points of each task; Using the information of each disaster-stricken point, the regional linkage of the target disaster-stricken point is determined. The regional linkage is used to characterize the probability of coordinated rescue with other disaster-stricken points. Determine the rescue matching degree between the target disaster site and each aviation rescue base station by using the timeliness, first resource compatibility and regional linkage of the target disaster site; The rescue matching degrees corresponding to each target disaster point are sorted in order of size to obtain the rescue dispatch plan for aviation medical emergency.
[0007] Another aspect of an embodiment of the present invention provides an aviation medical emergency rescue dispatching system, including: An information acquisition module is used to obtain base station information of each aviation rescue base station and disaster-affected point information of each mission disaster-affected point; An information processing module, used to determine the timeliness and first resource compatibility between the target disaster point and each aviation rescue base station by using the information of each base station and each disaster point, the target disaster point being any one of the disaster points of each task; The information processing module is also used to use the information of each disaster-stricken point to determine the regional linkage of the target disaster-stricken point. The regional linkage is used to characterize the probability of being able to carry out coordinated rescue with other task disaster-stricken points; The information processing module is also used to determine the rescue matching degree between the target disaster point and each aviation rescue base station by using each timeliness, each first resource compatibility and regional linkage of the target disaster point; The scheduling generation module is used to sort the rescue matching degrees corresponding to each target disaster point in order of size to obtain the rescue scheduling plan for aviation medical emergency.
[0008] In the aviation medicine emergency rescue scheduling method provided by the embodiment of the present invention, the timeliness and the first resource compatibility between the task disaster point and the aviation rescue base station are determined based on the information of each base station and the information of each disaster point. The matching of emergency rescue is considered from the two dimensions of the rescue timeliness of emergency rescue and the resource compatibility of emergency rescue, which can make the scheduling of emergency rescue more reasonable, thereby improving the efficiency of emergency rescue. Furthermore, based on the disaster point information, the regional linkage between each task disaster point and other task disaster points for linkage rescue is determined. By considering the linkage rescue between each task disaster point from a global perspective based on the mutual connection between each task disaster point, the efficiency of aviation medicine emergency rescue can be maximized. In this way, the present invention considers the three dimensions of timeliness of emergency rescue, first resource compatibility and regional linkage, and can significantly improve the overall efficiency of aviation medicine emergency rescue. BRIEF DESCRIPTION OF THE DRAWINGS
[0009] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. 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 paying creative work.
[0010] Figure 1 A schematic flow chart of a first aviation medical emergency rescue dispatching method provided by an embodiment of the present invention; Figure 2 A schematic flow chart of a second aviation medical emergency rescue dispatching method provided by an embodiment of the present invention; Figure 3 A schematic flow chart of a third aviation medical emergency rescue dispatching method provided by an embodiment of the present invention; Figure 4 A schematic flow chart of a fourth aviation medical emergency rescue dispatching method provided by an embodiment of the present invention; Figure 5 A schematic diagram of a structure for calculating the cumulative value of elevation change provided by an embodiment of the present invention; Figure 6 The present invention is a schematic structural diagram of an aviation medical emergency rescue dispatch system provided by one embodiment of the present invention. DETAILED DESCRIPTION
[0011] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of the specific implementation method, structure, features and effects of an aviation medical emergency rescue dispatch method proposed according to the present invention in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.
[0012] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
[0013] It should be noted that the acquisition, storage, use, and processing of data in the technical solution of the present invention are in compliance with the relevant provisions of national laws and regulations.
[0014] It should be noted that in the embodiments of the present invention, certain software, components, models and other existing solutions in the industry may be mentioned, which should be regarded as exemplary. Their purpose is only to illustrate the feasibility of implementing the technical solution of the present invention, but it does not mean that the applicant has or will necessarily use the solution.
[0015] In the existing methods, aviation medical emergency rescue is mostly "point-to-point" emergency rescue dispatch, that is, wherever there is a dangerous situation that needs rescue, the nearest aviation rescue base station equipped with aviation medical emergency rescue is found to command the rescue. However, when the demand for aviation medical emergency rescue is too large, the existing methods cannot reasonably dispatch aviation medical emergency rescue, resulting in low overall efficiency of aviation medical emergency rescue.
[0016] The purpose of the present invention is to provide an aviation medicine emergency rescue scheduling method and system. In the aviation medicine emergency rescue scheduling method provided by the embodiment of the present invention, the timeliness and the first resource fit between the task disaster point and the aviation rescue base station are determined according to the information of each base station and the information of each disaster point. The matching of emergency rescue is considered from the two dimensions of emergency rescue timeliness and emergency rescue resource fit, which can make the scheduling of emergency rescue more reasonable, thereby improving the efficiency of emergency rescue. Further, according to the disaster point information, the regional linkage between each task disaster point and other task disaster points for linkage rescue is determined. By considering the linkage rescue between each task disaster point from a global perspective based on the mutual connection between each task disaster point, the efficiency of aviation medicine emergency rescue can be maximized. In this way, the present invention considers the three dimensions of emergency rescue timeliness, first resource fit and regional linkage, which can significantly improve the overall efficiency of aviation medicine emergency rescue.
[0017] The following describes specific embodiments of the aviation medical emergency rescue dispatching method and system provided by the embodiments of the present invention.
[0018] Figure 1 A flow chart of an aviation medical emergency rescue dispatching method is provided. The aviation medical emergency rescue dispatching method can be applied to a service end. The aviation medical emergency rescue dispatching method can include the following S101 to S105.
[0019] S101, obtaining base station information of each aviation rescue base station and disaster-affected point information of each mission disaster-affected point.
[0020] In this embodiment, the base station information of the aviation rescue base station includes but is not limited to the location of the aviation rescue base station, which can provide the number of aircraft for dispatch, the materials that can be adapted for aviation rescue, the number of medical personnel that can be taken, and the type of rescue treatment.
[0021] The disaster-affected point information includes but is not limited to the location of the disaster area, altitude, disaster severity, types of injuries of the injured, and material needs.
[0022] As an example, in response to a dispatch request for emergency rescue, the server will obtain the base station information of each aviation rescue base station in the corresponding area and the disaster point information of each mission disaster point.
[0023] S102, using the information of each base station and each disaster-stricken point, determine the timeliness and first resource compatibility between the target disaster-stricken point and each aviation rescue base station, and the target disaster-stricken point is any one of the disaster-stricken points of each task.
[0024] In this embodiment, the timeliness is used to characterize the timeliness of traveling from the aviation rescue base station to the target disaster site, which can be represented by the interval distance between the two.
[0025] The first resource fit is used to characterize the degree of match between the rescue supplies that can be provided by the aviation rescue base station and the rescue supplies required by the target disaster site.
[0026] As an example, the server obtains the location of the target disaster point and the location of each aviation rescue base station based on the disaster point information of the target disaster point and the base station information of each aviation rescue base station, thereby determining the interval distance between the target disaster point and each aviation rescue base station, and then obtaining the timeliness between the target disaster point and each aviation rescue base station.
[0027] Then, according to the disaster point information of the target disaster point and the base station information of each aviation rescue base station, the rescue materials needed by the target disaster point and the rescue materials that can be provided by each aviation rescue base station are obtained. Then, the rescue materials needed by the target disaster point are matched with the rescue materials that can be provided by each aviation rescue base station, and the first resource fit between the target disaster point and each aviation rescue base station is obtained.
[0028] S103, using the information of each disaster-stricken point, determining the regional linkage of the target disaster-stricken point, where the regional linkage is used to characterize the probability of being able to carry out coordinated rescue with other mission disaster-stricken points.
[0029] In this embodiment, the regional linkage of the target disaster-stricken point refers to the possibility that the target disaster-stricken point can implement linkage rescue with other mission disaster-stricken points.
[0030] As an example, when multiple disaster-stricken points require the same rescue supplies, for example, multiple rescue points require medical supplies including medicines, and the locations of the multiple disaster-stricken points are close to each other, then joint rescue can be carried out among the multiple disaster-stricken points, that is, the rescue aircraft does not go back directly after passing disaster-stricken point a but goes to disaster-stricken point b to continue the rescue.
[0031] Therefore, the server can obtain each task disaster-stricken point within a preset distance from the target disaster-stricken point, and then match the rescue supplies required by the target disaster-stricken point with the rescue supplies required by each task disaster-stricken point within the preset distance, so as to obtain the resource fit between the target disaster-stricken point and each task disaster-stricken point within the preset distance, and then obtain the regional linkage of the target disaster-stricken point.
[0032] S104, using the timeliness, first resource compatibility and regional linkage of the target disaster-stricken point, determine the rescue matching degree between the target disaster-stricken point and each aviation rescue base station.
[0033] In this embodiment, the server multiplies the timeliness between the target disaster-stricken point and the target air rescue base station in each air rescue base station by the timeliness weight coefficient, and then multiplies the first resource fit between the target disaster-stricken point and the target air rescue base station by the resource fit weight coefficient, and then multiplies the regional linkage of the target disaster-stricken point by the regional linkage weight coefficient, and finally adds them together to obtain the rescue matching degree between the target disaster-stricken point and the target air rescue base station.
[0034] By executing this step repeatedly until all aviation rescue base stations are traversed, the rescue matching degree between the target disaster point and each aviation rescue base station can be obtained.
[0035] S105, sorting the rescue matching degrees corresponding to each target disaster point in order of magnitude, and obtaining an aviation medical emergency rescue dispatch plan.
[0036] In this embodiment, the server calculates the rescue matching degree between each mission disaster point and each aviation rescue base station respectively. Finally, the rescue matching degrees are sorted in order of size, and the corresponding rescue dispatching schemes are selected in order of rescue matching degrees from large to small, and the ant colony algorithm is used to select the optimal path, thereby completing the rescue dispatching of aviation medical emergency.
[0037] Through this embodiment, the timeliness and the first resource compatibility between the task disaster point and the aviation rescue base station are determined based on the information of each base station and the information of each disaster point. The matching of emergency rescue is considered from the two dimensions of the rescue timeliness of emergency rescue and the resource compatibility of emergency rescue, which can make the scheduling of emergency rescue more reasonable, thereby improving the efficiency of emergency rescue. Furthermore, based on the information of the disaster point, the regional linkage between each task disaster point and other task disaster points for linkage rescue is determined. By considering the linkage rescue between each task disaster point from a global perspective based on the mutual connection between each task disaster point, the efficiency of aviation medical emergency rescue can be maximized. In this way, the present invention considers the three dimensions of timeliness of emergency rescue, the first resource compatibility and the regional linkage, which can significantly improve the overall efficiency of aviation medical emergency rescue.
[0038] As an optional embodiment, the base station information includes base station location information and base station resource information, and the disaster-affected point information includes disaster-affected point location information and disaster-affected point resource information; like Figure 2 As shown, S102 may specifically include the following S201 to S202: S201, using the disaster point location information of the target disaster point and the location information of each base station, determining the timeliness between the target disaster point and each aviation rescue base station; S202, using the disaster-stricken point resource information of the target disaster-stricken point and the resource information of each base station, determine a first resource compatibility between the target disaster-stricken point and each aviation rescue base station.
[0039] In this embodiment, the server can accurately determine the location of the target disaster point and the location of each aviation rescue base station based on the disaster point location information of the target disaster point and the base station location information of each aviation rescue base station, thereby determining the interval distance between the target disaster point and each aviation rescue base station, and then obtaining the timeliness between the target disaster point and each aviation rescue base station.
[0040] Then, based on the disaster-stricken point resource information of the target disaster-stricken point and the base station resource information of each aviation rescue base station, the rescue materials needed by the target disaster-stricken point and the rescue materials that can be provided by each aviation rescue base station can be accurately determined. The rescue materials needed by the target disaster-stricken point are then matched with the rescue materials that can be provided by each aviation rescue base station, thereby obtaining the first resource fit between the target disaster-stricken point and each aviation rescue base station.
[0041] Through this embodiment, the timeliness between the mission disaster point and the aviation rescue base station is accurately determined based on the disaster point location information and the base station location information; the first resource compatibility between the mission disaster point and the aviation rescue base station is accurately determined based on the disaster point resource information and the base station resource information. This helps to consider the matching of emergency rescue based on the timeliness and the first resource compatibility in the future, making the dispatch of emergency rescue more reasonable, thereby improving the efficiency of emergency rescue.
[0042] As an optional embodiment, S201 may specifically include: The following steps are executed repeatedly until all aviation rescue base stations are traversed: According to the disaster point location information of the target disaster point and the base station location information of the first rescue base station, the longitude and latitude distance between the target disaster point and the first rescue base station is obtained, and the first rescue base station is any one of the aviation rescue base stations; Convert the longitude and latitude distance between the target disaster site and the first rescue base station into a straight-line distance; The activation function is calculated for the straight-line distance between the target disaster-stricken point and the first rescue base station to obtain the timeliness between the target disaster-stricken point and the first rescue base station.
[0043] In this embodiment, the timeliness between the mission disaster point and the aviation rescue base station is determined by the following formula 1: Formula 1 In the formula, represents the timeliness between the disaster-affected point z and the aviation rescue base station x, represents the activation function, Indicates the latitude and longitude coordinates of the disaster point z of the mission, represents the longitude and latitude coordinates of the aviation rescue base station x, and f represents the calculation function that converts the longitude and latitude between two places into the straight-line distance between the two places.
[0044] in, It represents the straight-line distance between the mission disaster point z and the aviation rescue base station x. The shorter the straight-line distance between the mission disaster point z and the aviation rescue base station x, the greater the corresponding timeliness between the mission disaster point z and the aviation rescue base station x.
[0045] The timeliness of the correspondence between the disaster site z and the aviation rescue base station x The larger it is, the greater the match between the disaster-stricken mission point z and the aviation rescue base station x in emergency rescue, and the greater the possibility of sending the aviation rescue base station x to the disaster-stricken mission point z.
[0046] Through this embodiment, the longitude and latitude distance between the target disaster point and the first rescue base station is determined according to the disaster point location information of the target disaster point and the base station location information of the first rescue base station. The longitude and latitude distance is then converted into a straight-line distance, and finally the activation function is calculated for the straight-line distance to obtain the timeliness between the target disaster point and the first rescue base station. In this way, the embodiment of the present invention accurately determines the timeliness between the mission disaster point and the aviation rescue base station, which helps to consider the matching of emergency rescue according to the timeliness in the future, and can make the scheduling of emergency rescue more reasonable, thereby improving the efficiency of emergency rescue.
[0047] As an optional embodiment, Figure 3 As shown, S202 may specifically include the following S301 to S304: S301, generating a resource demand file according to the disaster-affected point resource information of the target disaster-affected point; S302, generating a supply resource file of each aviation rescue base station according to the base station resource information of each aviation rescue base station; S303, obtaining a first word vector set of the demand resource file and a second word vector set of each supply resource file; S304: Determine a first resource fit between the target disaster site and each aviation rescue base station by using the first word vector set and each second word vector set.
[0048] In this embodiment, the demand resource file and the supply resource file are files for recording resource information. For example, the demand resource file and the supply resource file may be in the form of a document or a video.
[0049] The first word vector set includes a plurality of first word vectors, where the first word vector is a word vector corresponding to a first keyword in the demand resource file. For example, the first keyword may include a noun, a verb, and a quantifier.
[0050] The second word vector set includes a plurality of second word vectors, and the second word vectors are word vectors corresponding to the second keywords in the supply resource file. For example, the second keywords may include nouns, verbs, and quantifiers.
[0051] As an example, the server first summarizes and organizes the disaster-stricken point resource information of the target disaster-stricken point to form a demand resource file of the target disaster-stricken point; and then summarizes and organizes the base station resource information of the aviation rescue base station to form a supply resource file of the aviation rescue base station.
[0052] Then, the server uses the word embedding algorithm of the GloVe (Global Vectors for Word Representation) algorithm model to obtain the first word vector set corresponding to the demand resource file and the second word vector set corresponding to the supply resource file.
[0053] Finally, each first word vector in the first word vector set is matched with the second word vector set respectively, so as to obtain the first resource fit between the target disaster point and the aviation rescue base station.
[0054] Through this embodiment, the first word vector set in the demand resource file corresponding to the disaster-stricken point resource information and the second word vector set in the supply resource file corresponding to the base station resource information are obtained. Then the first word vector set is matched with the second word vector set to obtain the first resource fit between the mission disaster-stricken point and the aviation rescue base station. In this way, the embodiment of the present invention accurately determines the first resource fit between the mission disaster-stricken point and the aviation rescue base station, which helps to consider the matching of emergency rescue according to the first resource fit in the future, and can make the scheduling of emergency rescue more reasonable, thereby improving the efficiency of emergency rescue.
[0055] As an optional embodiment, S304 may specifically include: The following steps are executed repeatedly until all aviation rescue base stations are traversed: Perform similarity matching on each first word vector in the first word vector set and the second word vector set of the second rescue base station to obtain a first resource fit between each first word vector and the second rescue base station, where the second rescue base station is any one of the aviation rescue base stations; The first resource compatibility levels are accumulated to obtain the first resource compatibility level between the target disaster-stricken point and the second rescue base station.
[0056] In this embodiment, the first resource compatibility between the mission disaster point and the aviation rescue base station is determined by the following formula 2: Formula 2 In the formula, represents the first resource compatibility between the disaster-stricken mission point z and the aviation rescue base station x at time t, Represents the cth first word vector of the first word vector set of task disaster point z at time t, represents the vth second word vector of the second word vector set of aviation rescue base station x at time t, cos represents the matching calculation of cosine vector similarity, It means that it is accumulated from the first to the Vth, V represents the number of second word vectors in the second word vector set of aviation rescue base station x at time t, and Z represents the total number of first word vectors in the first word vector set of mission disaster point z; It is the first resource fit of the cth first word vector of the first word vector set of the task disaster point z at time t.
[0057] in, It indicates the first resource fit from the first first word vector, accumulated to the first resource fit of the Zth first word vector. The larger it is, the more balanced the supply and demand relationship between the mission disaster point z and the aviation rescue base station x is at time t, and the greater the possibility that the aviation rescue base station x will be dispatched to the mission disaster point z.
[0058] The first resource compatibility between the mission disaster point z and the aviation rescue base station x at time t The larger it is, the more balanced the supply and demand relationship between the mission disaster point z and the aviation rescue base station x is at time t, and the greater the possibility that the aviation rescue base station x will be dispatched to the mission disaster point z.
[0059] Through this embodiment, each first word vector in the first word vector set is matched with the second word vector set respectively to obtain the first resource fit of each first word vector. Then, the first resource fit of each first word vector is accumulated to obtain the first resource fit between the disaster-stricken point of the mission and the aviation rescue base station. In this way, the embodiment of the present invention accurately determines the first resource fit between the disaster-stricken point of the mission and the aviation rescue base station, which helps to consider the matching of emergency rescue according to the first resource fit in the future, and can make the scheduling of emergency rescue more reasonable, thereby improving the efficiency of emergency rescue.
[0060] As an optional embodiment, the disaster-affected point information includes disaster-affected point location information and disaster-affected point resource information; like Figure 4 As shown, S103 may specifically include the following S401 to S404: S401, taking the target disaster-stricken point as the center, and screening out the linkage disaster-stricken points within a preset distance threshold from the target disaster-stricken point according to the location information of each disaster-stricken point; S402, using resource information of each disaster-affected point, determining a second resource compatibility between the target disaster-affected point and each linked disaster-affected point; S403, using the location information of each disaster-affected point, determining the correlation coefficient between the target disaster-affected point and each linkage disaster-affected point and the distance between the disaster-affected points; S404: Determine the regional linkage of the target disaster-affected points by using the second resource compatibility, the correlation coefficients and the distances between the disaster-affected points.
[0061] In this embodiment, the linkage disaster-stricken point is a task disaster-stricken point that can be linked to the target disaster-stricken point for rescue in terms of distance.
[0062] The correlation coefficient is the degree of correlation between the target disaster-stricken point and the linked disaster-stricken points evaluated from the distance dimension. For example, the correlation coefficient can be a preset value input by the user based on the positional relationship between the target disaster-stricken point and each linked disaster-stricken point; or it can be a value calculated in real time by the server based on the positional relationship between the target disaster-stricken point and each linked disaster-stricken point.
[0063] As an example, the server takes the target disaster point as the center and the maximum flight radius of the rescue aircraft as the preset distance threshold, and screens out the linked disaster points within the maximum flight radius of the rescue aircraft. Then, based on the disaster point resource information of the target disaster point and the disaster point resource information of each linked disaster point, the second resource fit between the target disaster point and each linked disaster point is calculated.
[0064] Then, based on the disaster point location information of the target disaster point and the disaster point location information of each linked disaster point, the location of the target disaster point and the location of each linked disaster point can be accurately determined, thereby determining the interval distance and correlation coefficient between the target disaster point and each linked disaster point.
[0065] Then, the server matches the distance between the target disaster-stricken point and the linkage disaster-stricken point to obtain a distance weight coefficient that matches the corresponding distance, and then multiplies the corresponding second resource fit, correlation coefficient, and distance weight coefficient to obtain the regional linkage between the target disaster-stricken point and the linkage disaster-stricken point.
[0066] Finally, the maximum value among the regional linkages between the target disaster-stricken point and each linkage disaster-stricken point is selected as the regional linkage of the target disaster-stricken point.
[0067] Through this embodiment, the server first screens and obtains each linkage disaster-stricken point within a preset distance threshold from the target disaster-stricken point, and then calculates the second resource fit, correlation coefficient, and distance between the target disaster-stricken point and each linkage disaster-stricken point. Thus, the regional linkage between the target disaster-stricken point and each linkage disaster-stricken point is obtained, and the maximum value among each regional linkage is selected as the regional linkage of the target disaster-stricken point. In this way, the regional linkage of the target disaster-stricken point can be accurately calculated, which is helpful for considering the matching of emergency rescue according to the regional linkage of the target disaster-stricken point in the future, and can make the dispatch of emergency rescue more reasonable, thereby improving the efficiency of emergency rescue.
[0068] As an optional embodiment, the method of using the location information of each disaster-affected point in S403 to determine the correlation coefficient between the target disaster-affected point and each linked disaster-affected point may specifically include: Execute the following steps repeatedly until all the linked disaster-affected points are traversed: Using the disaster point location information of the target disaster point and the disaster point location information of the target linkage disaster point, respectively determine the first elevation of the target disaster point and the second elevation of the target linkage disaster point, the target linkage disaster point being any one of the linkage disaster points; Subtract the first elevation from the second elevation to obtain the elevation difference between the target disaster-affected point and the target linkage disaster-affected point; The correlation coefficient between the target disaster-stricken point and the target linkage disaster-stricken point is determined by using the elevation difference, the cumulative value of the elevation change between the target disaster-stricken point and the target linkage disaster-stricken point, and the second elevation of the target linkage disaster-stricken point.
[0069] In this embodiment, the first elevation is used to represent the absolute altitude of the target disaster-stricken point from the absolute base surface, and the second elevation is used to represent the absolute altitude of the target linkage disaster-stricken point from the absolute base surface.
[0070] As an example, the correlation coefficient between the task disaster point and the linkage disaster point is determined by the following formula 3: Formula 3 In the formula, represents the correlation coefficient between the task disaster point z and the linkage disaster point n, represents the first elevation of the disaster-affected point z of the mission, represents the second elevation of the linkage disaster point n, Indicates exponential function calculation. It represents the cumulative value of the elevation change on a line segment that takes the mission disaster point z as the origin and points to the linkage disaster point n.
[0071] like Figure 5As shown, a schematic diagram of a structure for calculating the cumulative value of elevation change is provided. Among them, the disaster-affected point A and the disaster-affected point B are blocked by a mountain. Then the cumulative value of the elevation change between the disaster-affected point A and the disaster-affected point B is a line segment with the disaster-affected point A as the center and pointing to the disaster-affected point B. Then the cumulative value of the elevation change on the line segment is twice the elevation of the blocking mountain.
[0072] in, The smaller it is, the closer the elevation of the task disaster point z is to the linkage disaster point n, that is, the greater the possibility that the task disaster point z and the linkage disaster point n are on the same elevation plane. At the same time, the cumulative value of the elevation change between the task disaster point z and the linkage disaster point n The smaller it is, the greater the possibility that the task disaster point z and the linkage disaster point n are in the same area plane. Finally, the second elevation of the linkage disaster point n The smaller it is, the greater the severity of the linked disaster point n, and it should be rescued as soon as possible.
[0073] The greater the correlation coefficient between the task disaster point z and the linkage disaster point n, the greater the possibility of linkage disaster point n and the task disaster point z to carry out linkage rescue, and thus the greater the regional linkage of the task disaster point z.
[0074] Through this embodiment, the first elevation of the task disaster point and the second elevation of the linkage disaster point can be determined by using the location information of the disaster point. Therefore, the correlation coefficient between the task disaster point and the linkage disaster point can be accurately calculated, and then the regional linkage of the task disaster point can be accurately calculated, which is helpful for considering the matching of emergency rescue according to the regional linkage of the task disaster point in the future, and can make the dispatch of emergency rescue more reasonable, thereby improving the efficiency of emergency rescue.
[0075] As an optional embodiment, S404 may specifically include: The inverse of the distance between the matched disaster-affected points, the second resource compatibility, and the correlation coefficient are multiplied to obtain the first linkage of the target disaster-affected point; Selecting the maximum value among the first linkages of the target disaster-affected point as the second linkage of the target disaster-affected point; The activation function is calculated for the second linkage of the target disaster-affected point to obtain the regional linkage of the target disaster-affected point.
[0076] In this embodiment, the regional linkage of the task disaster point is determined by the following formula 4: Formula 4 In the formula, represents the regional linkage of the disaster-affected point z of the mission, represents the activation function calculation, It represents the second resource compatibility between task disaster point z and linkage disaster point n. represents the distance between the task disaster point z and the linkage disaster point n, It represents the correlation coefficient between the task disaster-stricken point z and the linkage disaster-stricken point n, and N represents the total number of linkage disaster-stricken points. It represents the first linkage between the traversal task disaster point z and each linkage disaster point n, selects the largest first linkage, and then normalizes it.
[0077] in, It represents the first linkage between the task disaster point z and the linkage disaster point n. When the second resource fit between the task disaster point z and the linkage disaster point n The larger the distance between the task disaster point z and the linkage disaster point n, the The smaller the correlation coefficient between the task disaster point z and the linkage disaster point n is, the smaller the correlation coefficient between the task disaster point z and the linkage disaster point n is. The larger the value is, the greater the first linkage between the task disaster point z and the linkage disaster point n is.
[0078] Regional linkage of task disaster site z The larger it is, the greater the possibility of joint rescue between the mission disaster point z and other mission disaster points. At this time, the greater the necessity of giving priority to rescue dispatch of the mission disaster point z.
[0079] Through this embodiment, the regional linkage of the target disaster-stricken points can be determined by using the fit of each second resource, each correlation coefficient and the distance between each disaster-stricken point. By considering the three dimensions of resource fit, correlation and distance between each disaster-stricken point, the regional linkage of the task disaster-stricken point can be accurately calculated, which is helpful for considering the matching of emergency rescue according to the regional linkage of the task disaster-stricken point in the future, making the dispatch of emergency rescue more reasonable, thereby improving the efficiency of emergency rescue.
[0080] As an optional embodiment, S104 may specifically include: The following steps are executed repeatedly until all aviation rescue base stations are traversed: The criticality score of the target disaster point, the timeliness between the target disaster point and the third rescue base station, and the first resource fit between the target disaster point and the third rescue base station are multiplied to obtain the first match between the target disaster point and the third rescue base station, where the third rescue base station is any one of the aviation rescue base stations; The reciprocal of the criticality score of the target disaster point, the regional linkage of the target disaster point, and the first resource matching degree between the target disaster point and the third rescue base station are multiplied to obtain the second matching degree between the target disaster point and the third rescue base station; The first matching degree and the second matching degree are added to obtain a rescue matching degree between the target disaster-stricken point and the third rescue base station.
[0081] In this embodiment, the criticality score is a score used to evaluate the criticality of the task disaster point. For example, the criticality score can be an evaluation value input by the user after performing a criticality assessment on the task disaster point.
[0082] As an example, the rescue matching degree is determined by the following formula 5: Formula 5 In the formula, represents the rescue matching degree between the disaster-stricken mission point z and the aviation rescue base station x, represents the criticality score of the task disaster point z, represents the timeliness between the disaster-affected point z and the aviation rescue base station x, represents the first resource compatibility between the disaster-stricken mission point z and the aviation rescue base station x at time t, Represents the regional linkage of the disaster-affected point z of the mission.
[0083] in, It means that when the criticality of the disaster site z is greater, the timeliness of rescue will be more important; This means that when the criticality of the disaster site z is relatively small, more emphasis will be placed on providing medical rescue to as many disaster relief sites as possible.
[0084] Mission disaster point z and aviation rescue base station x rescue matching degree The larger the value is, the greater the necessity of dispatching aviation rescue base station x to carry out emergency rescue at the disaster site z.
[0085] Through this embodiment, the rescue matching degree between the mission disaster point and the aviation rescue base station is determined according to the timeliness, the first resource fit and the regional linkage. Considering the three dimensions of emergency rescue timeliness, the first resource fit and the regional linkage can make the dispatch of emergency rescue more reasonable, thereby significantly improving the overall efficiency of aviation medical emergency rescue.
[0086] Specific embodiments of the aviation medicine emergency rescue dispatching method. Accordingly, the present invention also provides specific embodiments of the aviation medicine emergency rescue dispatching system.
[0087] like Figure 6 As shown, a schematic diagram of the structure of an aviation medical emergency rescue dispatching system is provided. The aviation medical emergency rescue dispatching system may specifically include an information acquisition module 610 , an information processing module 620 and a dispatch generation module 630 .
[0088] The information acquisition module 610 is used to acquire the base station information of each aviation rescue base station and the disaster point information of each mission disaster point; The information processing module 620 is used to determine the timeliness and first resource compatibility between the target disaster point and each aviation rescue base station by using the information of each base station and each disaster point, and the target disaster point is any one of the disaster points of each task; The information processing module 620 is further used to determine the regional linkage of the target disaster-stricken point by using the information of each disaster-stricken point, and the regional linkage is used to represent the probability of being able to carry out coordinated rescue with other task disaster-stricken points; The information processing module 620 is further used to determine the rescue matching degree between the target disaster point and each aviation rescue base station by using each timeliness degree, each first resource compatibility degree and regional linkage of the target disaster point; The scheduling generation module 630 is used to sort the rescue matching degrees corresponding to each target disaster point in order of magnitude to obtain an aviation medical emergency rescue scheduling plan.
[0089] In the aviation medicine emergency rescue dispatching method and system provided by the embodiment of the present invention, the timeliness and the first resource compatibility between the task disaster point and the aviation rescue base station are determined according to the information of each base station and the information of each disaster point. The matching of emergency rescue is considered from the two dimensions of the rescue timeliness of emergency rescue and the resource compatibility of emergency rescue, which can make the dispatch of emergency rescue more reasonable, thereby improving the efficiency of emergency rescue. Furthermore, according to the disaster point information, the regional linkage between each task disaster point and other task disaster points for linkage rescue is determined. By considering the linkage rescue between each task disaster point from a global perspective based on the mutual connection between each task disaster point, the efficiency of aviation medicine emergency rescue can be maximized. In this way, the present invention considers the three dimensions of timeliness of emergency rescue, first resource compatibility and regional linkage, and can significantly improve the overall efficiency of aviation medicine emergency rescue.
[0090] It should be clear that the present invention is not limited to the specific configuration and processing described above and shown in the figures. For the sake of simplicity, a detailed description of the known method is omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of the present invention is not limited to the specific steps described and shown, and those skilled in the art can make various changes, modifications and additions, or change the order between the steps after understanding the spirit of the present invention.
[0091] It should also be noted that the exemplary embodiments mentioned in the present invention describe some methods or systems based on a series of steps or devices. However, the present invention is not limited to the order of the above steps, that is, the steps can be performed in the order mentioned in the embodiments, or in a different order from the embodiments, or several steps can be performed simultaneously.
[0092] The above is only a specific implementation of the present invention. Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working process of the system, module and unit described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here. It should be understood that the protection scope of the present invention is not limited to this. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed by the present invention, and these modifications or replacements should be covered within the protection scope of the present invention.
Claims
1. An aviation medical emergency rescue dispatch method, It is characterized in that The method comprises: Obtain the base station information of each aviation rescue base station and the disaster point information of each mission disaster point; Determine the timeliness and first resource compatibility between the target disaster point and each of the aviation rescue base stations by using the information of each of the base stations and the information of each of the disaster points, wherein the target disaster point is any one of the task disaster points; Using the information of each disaster-affected point, determine the regional linkage of the target disaster-affected point, where the regional linkage is used to characterize the probability of being able to carry out rescue linkage with other task disaster-affected points; Determine the rescue matching degree between the target disaster-stricken point and each of the aviation rescue base stations by using each of the timeliness degrees, each of the first resource compatibility degrees, and the regional linkage of the target disaster-stricken point; The rescue matching degrees corresponding to each target disaster point are sorted in order of magnitude to obtain an aviation medical emergency rescue dispatch plan.
2. The aviation medical emergency rescue dispatching method according to claim 1, It is characterized in that The base station information includes base station location information and base station resource information, and the disaster-affected point information includes disaster-affected point location information and disaster-affected point resource information; The using the information of each base station and the information of each disaster-affected point to determine the timeliness and first resource compatibility between the target disaster-affected point and each aviation rescue base station includes: Determine the timeliness between the target disaster-stricken point and each of the aviation rescue base stations by using the disaster-stricken point location information of the target disaster-stricken point and the location information of each of the base stations; The first resource compatibility between the target disaster-stricken point and each of the aviation rescue base stations is determined by utilizing the disaster-stricken point resource information of the target disaster-stricken point and the resource information of each of the base stations.
3. The aviation medical emergency rescue dispatching method according to claim 2, It is characterized in that The determining the timeliness between the target disaster point and each of the aviation rescue base stations by using the disaster point location information of the target disaster point and the location information of each of the base stations includes: The following steps are executed in a loop until all the aviation rescue base stations are traversed: According to the disaster point location information of the target disaster point and the base station location information of the first rescue base station, the longitude and latitude distance between the target disaster point and the first rescue base station is obtained, and the first rescue base station is any one of the aviation rescue base stations; Converting the longitude and latitude distance between the target disaster site and the first rescue base station into a straight-line distance; An activation function is calculated for the straight-line distance between the target disaster-stricken point and the first rescue base station to obtain the timeliness between the target disaster-stricken point and the first rescue base station.
4. The aviation medical emergency rescue dispatching method according to claim 2, It is characterized in that The using the disaster-affected point resource information of the target disaster-affected point and the resource information of each base station to determine the first resource compatibility between the target disaster-affected point and each aviation rescue base station includes: Generate a resource demand file according to the disaster-affected point resource information of the target disaster-affected point; Generating a supply resource file of each of the aviation rescue base stations according to the base station resource information of each of the aviation rescue base stations; Obtaining a first word vector set of the demand resource file and a second word vector set of each supply resource file; The first word vector set and each of the second word vector sets are used to determine a first resource fit between the target disaster point and each of the aviation rescue base stations.
5. The aviation medical emergency rescue dispatching method according to claim 4, It is characterized in that The using the first word vector set and each of the second word vector sets to determine a first resource fit between the target disaster point and each of the aviation rescue base stations includes: The following steps are executed in a loop until all the aviation rescue base stations are traversed: Performing similarity matching on each first word vector in the first word vector set and the second word vector set of the second rescue base station, respectively, to obtain a first resource fit between each first word vector and the second rescue base station, where the second rescue base station is any one of the aviation rescue base stations; The first resource compatibility degrees are accumulated to obtain the first resource compatibility degree between the target disaster-stricken point and the second rescue base station.
6. The aviation medical emergency rescue dispatching method according to claim 1, It is characterized in that The disaster-affected point information includes the disaster-affected point location information and the disaster-affected point resource information; The using the information of each disaster-affected point to determine the regional linkage of the target disaster-affected point includes: Taking the target disaster-stricken point as the center, based on the location information of each disaster-stricken point, screen out the linkage disaster-stricken points within a preset distance threshold from the target disaster-stricken point; Determine the second resource compatibility between the target disaster-stricken point and each of the linked disaster-stricken points by using the resource information of each disaster-stricken point; Using the location information of each disaster-affected point, determining the correlation coefficient between the target disaster-affected point and each linkage disaster-affected point and the distance between the disaster-affected points; The regional linkage of the target disaster-stricken points is determined by using the second resource compatibility, the correlation coefficients and the distances between the disaster-stricken points.
7. An aviation medical emergency rescue dispatching method according to claim 6, It is characterized in that The determining of the correlation coefficient between the target disaster-stricken point and each of the linked disaster-stricken points by using the location information of each disaster-stricken point includes: The following steps are executed in a loop until all the linkage disaster-affected points are traversed: Using the disaster point location information of the target disaster point and the disaster point location information of the target linkage disaster point, respectively determine the first elevation of the target disaster point and the second elevation of the target linkage disaster point, the target linkage disaster point being any one of the linkage disaster points; Subtracting the first elevation from the second elevation to obtain an elevation difference between the target disaster-affected point and the target linkage disaster-affected point; The correlation coefficient between the target disaster-stricken point and the target linkage disaster-stricken point is determined by using the elevation difference, the cumulative value of the elevation change between the target disaster-stricken point and the target linkage disaster-stricken point, and the second elevation of the target linkage disaster-stricken point.
8. The aviation medical emergency rescue dispatching method according to claim 6, It is characterized in that The determining the regional linkage of the target disaster-affected points by using the second resource compatibility, the correlation coefficients and the distances between the disaster-affected points includes: Multiplying the inverse of the distance between the matched disaster-affected points, the second resource compatibility, and the correlation coefficient to obtain the first linkage of the target disaster-affected point; Selecting a maximum value among the first linkages of the target disaster-affected points as a second linkage of the target disaster-affected point; An activation function is calculated for the second linkage of the target disaster-affected point to obtain the regional linkage of the target disaster-affected point.
9. The aviation medical emergency rescue dispatching method according to claim 1, It is characterized in that The using the timeliness of the target disaster point, the first resource compatibility, and the regional linkage to determine the rescue matching degree between the target disaster point and each aviation rescue base station includes: The following steps are executed in a loop until all the aviation rescue base stations are traversed: The criticality score of the target disaster point, the timeliness between the target disaster point and the third rescue base station, and the first resource compatibility between the target disaster point and the third rescue base station are multiplied to obtain a first matching degree between the target disaster point and the third rescue base station, where the third rescue base station is any one of the aviation rescue base stations; The inverse of the criticality score of the target disaster point, the regional linkage of the target disaster point, and the first resource matching degree between the target disaster point and the third rescue base station are multiplied to obtain a second matching degree between the target disaster point and the third rescue base station; The first matching degree and the second matching degree are added to obtain a rescue matching degree between the target disaster-stricken point and the third rescue base station.
10. An aviation medical emergency rescue dispatch system, It is characterized in that The system comprises: An information acquisition module is used to obtain base station information of each aviation rescue base station and disaster-affected point information of each mission disaster-affected point; An information processing module, used to determine the timeliness and first resource compatibility between a target disaster point and each of the aviation rescue base stations by using the information of each of the base stations and the information of each of the disaster points, wherein the target disaster point is any one of the task disaster points; The information processing module is further used to determine the regional linkage of the target disaster-stricken point by using the information of each disaster-stricken point, and the regional linkage is used to characterize the probability of being able to carry out rescue linkage with other disaster-stricken points of the task; The information processing module is further used to determine the rescue matching degree between the target disaster point and each of the aviation rescue base stations by using each of the timeliness degrees, each of the first resource compatibility degrees and the regional linkage of the target disaster point; The scheduling generation module is used to sort the rescue matching degrees corresponding to each target disaster point in order of magnitude to obtain an aviation medical emergency rescue scheduling plan.
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