A method and apparatus for processing for aeromedical evacuation

Abstract

The application discloses a processing method and device for air medical rescue, and the method comprises the following steps: a second resource matching module performs resource matching processing on basic data information collected by a first resource matching module to obtain first resource matching result information; a third resource matching module performs resource matching processing on the basic data information collected by the first resource matching module to obtain second resource matching result information; and a fourth resource matching module performs resource matching processing on the basic data information, the first resource matching result information and the second resource matching result information to obtain target resource matching result information.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of data processing, and in particular to a processing method and device for air medical rescue. BACKGROUND

[0002] Conventional air medical rescue is divided into two categories: pre-hospital care and inter-hospital transfer. Pre-hospital care refers to emergency rescue of personnel in need of treatment outside the hospital, including on-site rescue and medical activities during transit before personnel arrive at the hospital. Inter-hospital transfer refers to the process of organized and prepared transfer of critically ill personnel from primary hospitals to specialized hospitals for treatment or transfer of doctors from other hospitals to the personnel's home hospital. Whether it is "pre-hospital transfer" or "inter-hospital transfer", the requirements for in-cabin rescue and delivery are very strict. Therefore, a processing method and device for air medical rescue are provided to improve the efficiency and accuracy of automatic matching of rescue resources, thereby helping to improve the treatment rate of injured personnel. SUMMARY

[0003] The technical problem to be solved by the present application is to provide a processing method and device for air medical rescue to improve the efficiency and accuracy of automatic matching of rescue resources, thereby helping to improve the treatment rate of injured personnel.

[0004] To solve the above technical problems, a processing method for air medical rescue is disclosed in the first aspect of the embodiments of the present application. The method is applied to a personnel resource matching system, which includes a first resource matching module, a second resource matching module, a third resource matching module, a monitoring module, and a fourth resource matching module.

[0005] The method comprises:

[0006] The second resource matching module performs resource matching processing on the basic information collected by the first resource matching module to obtain first resource matching result information.

[0007] The third resource matching module performs resource matching processing on the basic information collected by the first resource matching module to obtain second resource matching result information.

[0008] The fourth resource matching module performs resource matching processing on the basic information, the first resource matching result information, and the second resource matching result information to obtain target resource matching result information.

[0009] The second resource matching module performs resource matching processing on the basic information collected by the first resource matching module to obtain first resource matching result information, which comprises:

[0010] Acquire first basic resource information of the second resource matching module;

[0011] Determine first resource matching result information based on the first basic resource information and basic data information collected by the first resource matching module.

[0012] The determination of the first resource matching result information based on the first basic resource information and the basic data information collected by the first resource matching module comprises:

[0013] Calculate and process the first basic resource information and the basic data information collected by the first resource matching module by using a first resource matching model to obtain a first resource matching value;

[0014] The first resource matching model is:

[0015]

[0016] In the formula, PPZ1 represents the first resource matching value; ZY1 and ZY2 represent the basic data information collected by the first resource matching module and the first basic resource information, respectively; a1 and a2 are first and second matching coefficients, respectively;

[0017] Determine whether the first resource matching value is greater than or equal to a first matching threshold to obtain a first matching determination result;

[0018] When the first matching determination result is yes, determine first resource type information as first sub-resource matching result information in the first resource matching result information;

[0019] Update the first basic resource information and the basic data information;

[0020] When the first matching determination result is no, end the judgment process corresponding to the first matching determination result;

[0021] Calculate and process the first basic resource information and the basic data information by using a second resource matching model to obtain a second resource matching value;

[0022] The second resource matching model is:

[0023]

[0024] In the formula, PPZ2 represents the first resource matching value; ZY1 and ZY3 represent the basic data information collected by the first resource matching module and the second basic resource information, respectively; a3 and a4 are third and fourth matching coefficients, respectively;

[0025] determining whether the second resource matching value is greater than or equal to a second matching threshold to obtain a second matching determination result;

[0026] when the second matching determination result is yes, determining second resource type information as second sub-resource matching result information in the second resource matching result information;

[0027] when the second matching determination result is no, determining third resource type information as the second sub-resource matching result information in the second resource matching result information.

[0028] The resource matching module is configured to perform resource matching processing on the basic information collected by the first resource matching module to obtain second resource matching result information, and the resource matching module comprises:

[0029] obtaining second basic resource information of the third resource matching module;

[0030] determining second resource matching result information based on the second basic resource information and the basic information collected by the first resource matching module.

[0031] The fourth resource matching module is configured to perform resource matching processing on the basic information, the first resource matching result information and the second resource matching result information to obtain target resource matching result information, and the fourth resource matching module comprises:

[0032] transmitting the basic information, the first resource matching result information and the second resource matching result information to the fourth resource matching module;

[0033] The fourth resource matching module is configured to perform matching processing on the basic information, the first resource matching result information and the second resource matching result information by calling a target resource analysis model to obtain target resource matching result information.

[0034] The fourth resource matching module is configured to perform resource matching processing on the basic information, the first resource matching result information and the second resource matching result information by calling a target resource analysis model to obtain target resource matching result information, and the fourth resource matching module comprises:

[0035] obtaining third basic resource information of the fourth resource matching module;

[0036] calling a target resource analysis model to perform analysis processing on the basic information, the first resource matching result information and the second resource matching result information to obtain target processing information;

[0037] performing matching processing on the target processing information and the third basic resource information to obtain target resource matching result information.

[0038] The target resource analysis model includes a first network module, a second network module, a third network module, a first attention module, a second attention module, a first fusion module, a second fusion module, a third fusion module, a perceptual network module, a first convolution module, a second convolution module, a third convolution module, a fourth convolution module, a first normalization module, a second normalization module, a first activation module, a second activation module, a third activation module, and a first connection module; wherein,

[0039] The input of the first network module is configured to receive a first model input of the target resource analysis model, and the output of the first network module is connected to the input of the first fusion module; the input of the second network module is configured to receive a second model input of the target resource analysis model, and the output of the second network module is connected to the input of the first fusion module; the input of the third network module is configured to receive a third model input of the target resource analysis model, and the output of the third network module is connected to the input of the first fusion module; the first fusion module, the first attention module, the second attention module, the perceptual network module, the first convolutional module, and the second... The convolutional modules are connected sequentially; the output of the second convolutional module is connected to the input of the first normalization module and the input of the first fusion module; the first normalization module, the first activation module, the second fusion module, and the third convolutional module are connected sequentially; the output of the third convolutional module is connected to the input of the fourth convolutional module and the input of the second fusion module; the fourth convolutional module, the second normalization module, the second activation module, the second fusion module, the first connection module, and the third activation module are connected sequentially; the output of the third activation module is configured to output the model output of the target resource analysis model.

[0040] A second aspect of the present invention discloses a processing device for air medical rescue, the device being applied to a personnel resource matching system, the personnel resource matching system comprising a first resource matching module, a second resource matching module, a third resource matching module, a monitoring module, and a fourth resource matching module;

[0041] The device includes:

[0042] The first processing module is used to perform resource matching processing on the basic data information collected by the first resource matching module in the second resource matching module to obtain the first resource matching result information.

[0043] The second processing module is used to perform resource matching processing on the basic data information collected by the first resource matching module in the third resource matching module to obtain the second resource matching result information.

[0044] The third processing module is used to perform resource matching processing on the basic data information, the first resource matching result information and the second resource matching result information in the fourth resource matching module to obtain the target resource matching result information.

[0045] A third aspect of the present invention discloses another processing apparatus for air medical evacuation, the apparatus comprising:

[0046] Memory containing executable program code;

[0047] A processor coupled to memory;

[0048] The processor calls the executable program code stored in the memory to execute some or all of the steps in the processing method for air medical rescue disclosed in the first aspect of the present invention.

[0049] The fourth aspect of the present invention discloses a computer-readable storage medium storing computer instructions, which, when invoked, are used to execute some or all of the steps in the processing method for air medical rescue disclosed in the first aspect of the present invention.

[0050] The beneficial effects of this invention include:

[0051] 1. Improve resource matching accuracy: The second resource matching module uses the first and second resource matching models for calculation. It comprehensively calculates the matching value by combining the distance of the vectors (√(||ZY1-ZY2||^2), √(||ZY1-ZY3||^2)) and the included angle (1-(ZY1·ZY2) / ||ZY1||||ZY2||, 1-(ZY1·ZY3) / ||ZY1||||ZY3||). Combined with the matching coefficient and threshold judgment, it can accurately filter out the matching results of the first, second and third sub-resources that meet the requirements, reducing matching errors.

[0052] The third resource matching module determines the second resource matching result information based on the second basic resource information and basic data information, further enriching the matching dimensions.

[0053] The fourth resource matching module calls the target resource analysis model to integrate basic data information and the matching results of the first and second resources. This model includes multiple network modules, attention modules, convolutional modules, etc., which can perform in-depth analysis and fusion of multi-source information. The final target resource matching results are more in line with the actual needs of air medical rescue, and the overall matching accuracy is greatly improved.

[0054] 2. Improved Resource Matching Efficiency: The second and third resource matching modules can process the basic data information collected by the first resource matching module in parallel. Each module has a clear division of labor, reducing the waiting time for serial processing and accelerating the output of intermediate results. The target resource analysis model receives different inputs through the first, second, and third network modules and transmits them to the first fusion module. After a series of processing steps, it quickly outputs results. Its complex module structure optimizes the information processing flow, efficiently completing the fusion and matching of multiple pieces of information, shortening the overall time from information collection to obtaining target matching results, and meeting the urgent requirements of air medical rescue.

[0055] 3. Enhanced System Intelligence and Adaptability: The target resource analysis model includes a first attention module and a second attention module, which can focus on key information and improve the targeting of information processing. The use of multiple convolutional modules and normalization and activation modules can effectively extract and transform information, enhancing the model's ability to process complex information. The second resource matching module updates the first basic resource information and basic data information during the matching process, enabling the system to adapt to dynamic changes in resource information, maintain good matching performance, and improve the system's adaptability in different air medical rescue scenarios.

[0056] 4. Ensuring the smooth operation of air medical rescue: Precise and efficient personnel resource matching ensures the rapid deployment of suitable medical personnel and other resources during air medical rescue missions, gaining valuable time for emergency treatment and improving the success rate. Multi-module collaborative work and a robust matching mechanism make resource allocation more scientific and rational, reducing resource waste, improving the utilization efficiency of air medical rescue resources, and ensuring the orderly conduct of the entire rescue process. Attached Figure Description

[0057] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0058] Figure 1 This is a schematic diagram of a processing system for air medical rescue provided in an embodiment of the present invention;

[0059] Figure 2 This is a schematic flowchart of a treatment method for air medical rescue disclosed in an embodiment of the present invention;

[0060] Figure 3 This is a schematic diagram of the structure of a processing device for air medical rescue disclosed in an embodiment of the present invention;

[0061] Figure 4 This is a schematic diagram of another processing device for air medical rescue disclosed in an embodiment of the present invention;

[0062] Figure 5 This is a schematic diagram of the structure of a target resource analysis model disclosed in an embodiment of the present invention. Detailed Implementation

[0063] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0064] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this invention are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, apparatus, product, or device that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or devices.

[0065] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0066] In this application, the term "exemplary" is used to mean "used as an example, illustration, or description." Any embodiment described as "exemplary" in this application is not necessarily to be construed as being more preferred or advantageous than other embodiments. The following description is provided to enable any person skilled in the art to make and use this application. Details are set forth in the following description for purposes of explanation. It should be understood that those skilled in the art will recognize that this application can be made without using these specific details. In other instances, well-known structures and processes are not described in detail to avoid obscuring the description of this application with unnecessary detail. Therefore, this application is not intended to be limited to the embodiments shown, but is consistent with the broadest scope of the principles and features disclosed in this application.

[0067] It should be noted that since the method in this application embodiment is executed in a computer device, the processing objects of each computer device exist in the form of data or information, such as time, which is essentially time information. It is understood that if size, quantity, position, etc. are mentioned in subsequent embodiments, they are all corresponding data that exist so that the computer device can process them. Specific details will not be elaborated here.

[0068] It should be noted that the artificial intelligence-related technologies that may be involved in this application will be briefly described. Artificial intelligence (AI) is the theory, method, technology, and application system that uses digital computers or machines controlled by digital computers to simulate, extend, and expand human intelligence, perceive the environment, acquire knowledge, and use that knowledge to obtain optimal results. In other words, artificial intelligence is a comprehensive technology in computer science that attempts to understand the essence of intelligence and produce a new kind of intelligent machine that can react in a way similar to human intelligence. Artificial intelligence is the study of the design principles and implementation methods of various intelligent machines, enabling machines to have the functions of perception, reasoning, and decision-making.

[0069] Artificial intelligence (AI) is a comprehensive discipline encompassing a wide range of fields, including both hardware and software technologies. Fundamental AI technologies generally include sensors, dedicated AI chips, cloud computing, distributed storage, big data processing, operating / interactive systems, and mechatronics. AI software technologies primarily include computer vision, speech processing, natural language processing, and machine learning / deep learning.

[0070] Computer vision (CV) is the science that studies how to enable machines to "see." More specifically, it refers to machine vision, which uses cameras and computers to replace human eyes in recognizing and measuring targets, and then performs image processing to create images more suitable for human observation or transmission to instruments. As a scientific discipline, computer vision studies related theories and technologies, attempting to build artificial intelligence systems capable of extracting information from images or multidimensional data. Computer vision technologies typically include image processing, image recognition, image semantic understanding, image retrieval, OCR, video processing, video semantic understanding, video content / behavior recognition, 3D object reconstruction, 3D technology, virtual reality, augmented reality, simultaneous localization and mapping (SLAM), and common biometric recognition technologies such as facial recognition and fingerprint recognition.

[0071] Monomodal information refers to data of only one type, such as text, images, audio, video, or electromagnetic signals. Multimodal information refers to data that includes at least two types of monomodal information. Furthermore, multimodal information is suitable for complex tasks that require the integration of multiple information sources, such as sentiment analysis, robot interaction, and autonomous driving. By integrating information from multiple modalities, higher performance and accuracy can usually be achieved in these tasks.

[0072] Large models refer to artificial neural network models with a very large number of parameters. In the field of artificial intelligence, large models typically refer to models with hundreds of millions to trillions of parameters. These models usually need to be trained on large-scale datasets and require a significant amount of computing resources for optimization and tuning. Large models are commonly used to solve complex tasks such as natural language processing, computer vision, and speech recognition. Generative AI is a type of AI that can create new content and ideas, including dialogues, stories, images, videos, and music. In this embodiment, the large model can be a language model of the scale of ChatGPT, BERT, XLNet, Zhipu model, Claude, Moonshot AI model, ChatGLM model, Tongwen Qianyi model, MiniMax model, Xinghuo model, Llama model, 360GPT model, Qwen model, Baichuan model, Yunque model, vivoLM model, and Wenxin Yiyan, etc., and this embodiment does not limit the scope of the large model.

[0073] This application provides a processing method, apparatus, computer equipment, and computer-readable storage medium for air medical rescue, which will be described in detail below.

[0074] Please see Figure 1 , Figure 1 This is a schematic diagram of a processing system for air medical evacuation provided in an embodiment of this application. The processing system for air medical evacuation may include a computer device 100, which integrates a processing unit for air medical evacuation, such as... Figure 1 Computer equipment in the country.

[0075] In this embodiment of the application, the computer device 100 is mainly used for a personnel resource matching system, which includes a first resource matching module, a second resource matching module, a third resource matching module, a monitoring module, and a fourth resource matching module.

[0076] The method includes:

[0077] The second resource matching module performs resource matching processing on the basic data information collected by the first resource matching module to obtain the first resource matching result information.

[0078] The third resource matching module performs resource matching processing on the basic data information collected by the first resource matching module to obtain the second resource matching result information.

[0079] The fourth resource matching module performs resource matching processing on the basic data information, the first resource matching result information, and the second resource matching result information to obtain the target resource matching result information.

[0080] It can improve the efficiency and accuracy of automatic matching of medical resources, thereby helping to improve the treatment rate of the injured and sick.

[0081] In this embodiment, the computer device 100 can be a standalone server, a server network, or a server cluster. For example, the computer device 100 described in this embodiment includes, but is not limited to, a computer, a network host, a single network server, a set of multiple network servers, or a cloud server composed of multiple servers. The cloud server is composed of a large number of computers or network servers based on cloud computing.

[0082] It is understood that the computer device 100 used in the embodiments of this application can be a device that includes both receiving and transmitting hardware, that is, a device having receiving and transmitting hardware capable of performing bidirectional communication on a bidirectional communication link. Such a device may include: cellular or other communication devices having a single-line display, a multi-line display, or a cellular or other communication device without a multi-line display. Specifically, the computer device 100 may be a desktop terminal or a mobile terminal, and may also be one of a mobile phone, tablet computer, laptop computer, etc.

[0083] Those skilled in the art will understand that Figure 1 The application environment shown is merely one application scenario of the solution in this application and does not constitute a limitation on the application scenario of the solution in this application. Other application environments may include those that are more specific to this application. Figure 1 The number of computer devices shown is more or less, for example Figure 1 Only one computer device is shown in the diagram. It is understood that the processing system for air medical evacuation may also include one or more other services, which are not specified here.

[0084] In addition, such as Figure 1 As shown, the processing system for air medical rescue may also include a memory 200 for storing data, such as image data and location information.

[0085] It should be noted that, Figure 1The schematic diagram of the processing system for air medical rescue shown is merely an example. The processing system and scenario for air medical rescue described in the embodiments of this application are for the purpose of more clearly illustrating the technical solutions of the embodiments of this application, and do not constitute a limitation on the technical solutions provided in the embodiments of this application. As those skilled in the art will know, with the evolution of the processing system for air medical rescue and the emergence of new business scenarios, the technical solutions provided in the embodiments of this application are also applicable to similar technical problems.

[0086] This invention discloses a processing method and apparatus for air medical rescue, which improves the efficiency and accuracy of automatic matching of rescue resources, thereby helping to improve the treatment rate of the wounded and sick. Detailed descriptions follow.

[0087] Example 1

[0088] Please see Figure 2 , Figure 2 This is a schematic flowchart of a treatment method for air medical rescue disclosed in an embodiment of the present invention. Figure 2 The described processing method for air medical evacuation is applied in a management system, such as a local server or cloud server for management, and the embodiments of the present invention are not limited thereto. Figure 2 As shown, the processing method for air medical rescue is applied to a personnel resource matching system, which includes a first resource matching module, a second resource matching module, a third resource matching module, a monitoring module, and a fourth resource matching module, and may include the following operations:

[0089] 101. The second resource matching module performs resource matching processing on the basic data information collected by the first resource matching module to obtain the first resource matching result information.

[0090] 102. The third resource matching module performs resource matching processing on the basic data information collected by the first resource matching module to obtain the second resource matching result information.

[0091] 103. In the fourth resource matching module, the basic data information, the first resource matching result information, and the second resource matching result information are processed to obtain the target resource matching result information.

[0092] It should be noted that the above basic information can be data collected by devices such as life monitors, or information entered by users after inquiring about the injuries. This embodiment of the invention does not limit the scope of the data.

[0093] It should be noted that the aforementioned personnel resource matching system can be a data processing system developed in Python or a relational database management system (RDBMS) developed based on MySQL. This embodiment of the invention does not impose any limitations on this.

[0094] It should be noted that the above monitoring module compares and analyzes the data monitored by the life monitor with the basic information to analyze and determine whether the condition of the injured person has changed. If it has changed, the basic information is updated and a warning is issued. This embodiment of the invention does not limit the scope of the invention.

[0095] In this optional embodiment, as an optional implementation, the above-mentioned updating of basic data information by the monitoring module includes:

[0096] Acquire monitoring data in the monitoring module;

[0097] The Z-score method was used to calculate the numerical deviation of basic data and monitoring data to obtain the data deviation value.

[0098] Determine whether the data deviation value in the data deviation information is within the range of [-3, 3] to obtain the deviation judgment result;

[0099] When the deviation judgment result is yes, the basic data information is updated based on the personnel information corresponding to the monitoring data;

[0100] When the deviation judgment result is negative, the deviation judgment result process ends.

[0101] Determine whether a termination monitoring signal has been received and obtain the signal determination result;

[0102] When the signal judgment result is yes, the process of updating basic data information in the monitoring module ends.

[0103] When the signal judgment result is negative, the monitoring module is triggered to acquire monitoring data after 10 sampling time units.

[0104] It should be noted that the above monitoring data is based on data monitored by the life monitoring instrument, and the embodiments of the present invention are not limited thereto.

[0105] It should be noted that the sampling time unit mentioned above can be 10 seconds, 30 seconds, or at most 1 minute, and this embodiment of the invention does not impose any limitation. Furthermore, triggering the acquisition of monitoring data in the monitoring module at intervals of 10 sampling time units ensures that there is enough collected data for deviation analysis, avoiding misjudgments caused by single data anomalies and ensuring the accuracy of data analysis, and this embodiment of the invention does not impose any limitation.

[0106] It should be noted that the above-mentioned information update of basic data based on the personnel information corresponding to the monitoring data changes the injury information of the personnel to a more serious situation. The information update is unidirectional, that is, it can only be updated in the direction of more seriousness, and no update is made in the direction of mitigation. This embodiment of the invention does not limit this.

[0107] It should be noted that the aforementioned termination monitoring signal can be generated by the optical timing of the life monitor or by the user pressing the pause button on the life monitor; this embodiment of the invention does not impose any limitations.

[0108] It should be noted that the above-mentioned updating of basic data information in the monitoring module can ensure that the basic data information is continuously and dynamically updated during the rescue of the injured person in the rescue cabin. This is so that when the fourth resource matching module performs resource matching processing on the basic data information, the first resource matching result information, and the second resource matching result information to obtain the target resource matching result information, it can provide more accurate basic data information, ensuring more precise and efficient matching of rescue resources during landing. This embodiment of the invention does not limit this.

[0109] It is evident that implementing the processing method for air medical rescue described in the embodiments of the present invention is beneficial to improving the efficiency and accuracy of automatic matching of rescue resources, thereby helping to improve the treatment rate of the wounded and sick.

[0110] In an optional embodiment, the second resource matching module performs resource matching processing on the basic data information collected by the first resource matching module to obtain first resource matching result information, including:

[0111] Obtain the first basic resource information from the second resource matching module;

[0112] Based on the first basic resource information and the basic data information collected by the first resource matching module, the first resource matching result information is determined.

[0113] It should be noted that the aforementioned first basic resource information can be pre-set by the user in the second resource matching module, or it can be input by the user into the second resource matching module. This embodiment of the invention does not impose any limitations.

[0114] Furthermore, the aforementioned first basic resource information represents the availability of basic medical resources in the first stage of the rescue cabin, such as the number of stretchers, the number of doctors, the number of seats in the cabin, the layout of pure seats, the layout of pure stretchers, and the layout of seat combinations, etc., which are not limited in this embodiment of the invention.

[0115] It should be noted that the above-mentioned rescue cabin can be a fixed-wing aircraft or a helicopter cabin, and the embodiments of the present invention are not limited thereto.

[0116] It is evident that implementing the processing method for air medical rescue described in the embodiments of the present invention is beneficial to improving the efficiency and accuracy of automatic matching of rescue resources, thereby helping to improve the treatment rate of the wounded and sick.

[0117] In another optional embodiment, based on the first basic resource information and the basic data information collected by the first resource matching module, the first resource matching result information is determined, including:

[0118] The first resource matching value is obtained by calculating and processing the first basic resource information and the basic data information collected by the first resource matching module using the first resource matching model.

[0119] The first resource matching model is as follows:

[0120]

[0121] In the formula, PPZ1 represents the first resource matching value; ZY1 and ZY2 represent the basic data information and the first basic resource information collected by the first resource matching module, respectively; a1 and a2 are the first matching coefficient and the second matching coefficient, respectively.

[0122] Determine whether the first resource matching value is greater than or equal to the first matching threshold to obtain the first matching judgment result;

[0123] When the first matching judgment result is yes, the first resource type information is determined as the first sub-resource matching result information in the first resource matching result information;

[0124] Update the primary basic resource information and basic data information;

[0125] If the result of the first match is negative, the judgment process corresponding to the result of the first match ends.

[0126] The second resource matching model is used to calculate and process the first basic resource information and basic data information to obtain the second resource matching value;

[0127] The second resource matching model is as follows:

[0128]

[0129] In the formula, PPZ2 represents the first resource matching value; ZY1 and ZY3 represent the basic data information and the second basic resource information collected by the first resource matching module, respectively; a3 and a4 are the third matching coefficient and the fourth matching coefficient, respectively.

[0130] Determine whether the second resource matching value is greater than or equal to the second matching threshold to obtain the second matching judgment result;

[0131] When the second matching judgment result is yes, the second resource type information is determined as the second sub-resource matching result information in the second resource matching result information;

[0132] When the second matching result is negative, the third resource type information is determined as the second sub-resource matching result information in the second resource matching result information.

[0133] It should be noted that the aforementioned first resource matching model is mainly used for resource matching of seriously injured persons. After the basic data information collected by the first resource matching module, the corresponding rescue resource matching plan can be obtained according to the first resource matching model and displayed on the screen of the rescue cabin. This facilitates the instruction to quickly implement the rescue resources (such as doctors, stretchers, oxygen cylinders, etc.) corresponding to the first resource type information for seriously injured persons. This embodiment of the invention does not limit this.

[0134] It should be noted that the above-mentioned second resource matching model is mainly used to determine the matching scheme of rescue resources for seriously injured persons and those with general injuries, so as to display it on the display screen of the rescue cabin, so as to facilitate the rapid implementation of rescue resources corresponding to the second resource type information (such as doctors, cabin seats, etc.) and the third resource type information (such as cabin seats, etc.) for seriously injured persons. This embodiment of the invention does not limit this.

[0135] It should be noted that the first, second, third, and fourth matching coefficients mentioned above can be set by the user or given default values ​​by the system, and their values ​​are between 0 and 1. This embodiment of the invention does not impose any limitations on these values. Furthermore, the first matching coefficient of the aforementioned first resource matching model is greater than the second matching coefficient, and the first matching coefficient is greater than the fourth matching coefficient, to increase the weight of the resource association calculation between the two vector differences, thereby improving the sensitivity for identifying injured persons. This embodiment of the invention does not impose any limitations on this value. Furthermore, the fourth matching coefficient for the injured persons mentioned above is greater than or equal to the third matching coefficient, to improve the sensitivity of the nonlinear vector association calculation based on basic data and rescue resources, and to improve the sensitive association ability for information on persons with more serious injuries. This embodiment of the invention does not impose any limitations on this value.

[0136] It should be noted that the first and second matching thresholds mentioned above can be set by the user or be default values ​​given by the system, with values ​​between 2 and 10. This embodiment of the invention does not impose any limitation on these values. Furthermore, the first matching threshold is lower than the second matching threshold to allocate more medical resources to seriously injured individuals. This embodiment of the invention does not impose any limitation on this value either.

[0137] It should be noted that the above-mentioned updating of the first basic resource information and basic data information involves removing information on seriously injured persons from the basic data information and reducing and removing matched resource information to obtain new first basic resource information. This embodiment of the invention does not limit this process.

[0138] It is evident that implementing the processing method for air medical rescue described in the embodiments of the present invention is beneficial to improving the efficiency and accuracy of automatic matching of rescue resources, thereby helping to improve the treatment rate of the wounded and sick.

[0139] In another optional embodiment, the third resource matching module performs resource matching processing on the basic data information collected by the first resource matching module to obtain second resource matching result information, including:

[0140] Obtain the second basic resource information from the third resource matching module;

[0141] Based on the second basic resource information and the basic data information collected by the first resource matching module, the second resource matching result information is determined.

[0142] It should be noted that the aforementioned second basic resource information represents the rescue information that can be implemented during the in-cabin rescue phase, and it includes several second sub-basic resource information, which are not limited in this embodiment of the invention. Furthermore, the aforementioned second sub-basic resource information can exist in vector form, with each vector element representing the available quantity of different types of rescue resources, such as the type of medical treatment that can be performed, the number of medical personnel, the quantity of basic rescue resources, the number of oxygen cylinders, the number of psychological rescuers, etc., which are not limited in this embodiment of the invention.

[0143] It should be noted that the basic information collected by the second basic resource information and the first resource matching module can be based on the first resource matching model and the first matching threshold to determine whether to use a second sub-basic resource information as the second resource matching result information. This embodiment of the invention does not limit this.

[0144] It should be noted that the types of medical treatments and rescues mentioned above include the Heimlich maneuver for choking on foreign objects, cardiopulmonary resuscitation, endotracheal intubation, mechanical ventilation, defibrillation / cardioversion, external non-invasive pacing, analgesia, bladder puncture and stoma, venous cut-off, cricothyroid membrane puncture and cut-off, abdominal paracentesis, thoracentesis, closed thoracic drainage, arterial puncture, and emergency reduction of temporomandibular joint dislocation, etc., which are not limited in this embodiment of the invention. The basic rescue resources mentioned above may include daily living care, care of various tubes, oxygen administration, intramuscular injection, peripheral venous puncture and indwelling, central venous puncture, catheterization, assisted sputum expectoration and suctioning, soiled waste cleaning and changing clothes, which are not limited in this embodiment of the invention.

[0145] It should be noted that the second resource matching result information can be displayed on the screen inside the rescue cabin to show the corresponding medical resource allocation, so as to implement the medical resources corresponding to the second resource matching result information for the patient in the rescue cabin. This embodiment of the invention does not limit this.

[0146] It is evident that implementing the processing method for air medical rescue described in the embodiments of the present invention is beneficial to improving the efficiency and accuracy of automatic matching of rescue resources, thereby helping to improve the treatment rate of the wounded and sick.

[0147] In another optional embodiment, the fourth resource matching module performs resource matching processing on the basic data information, the first resource matching result information, and the second resource matching result information to obtain the target resource matching result information, including:

[0148] The basic data information, the first resource matching result information, and the second resource matching result information are transmitted to the fourth resource matching module.

[0149] In the fourth resource matching module, the target resource analysis model is called to match the basic data information, the first resource matching result information, and the second resource matching result information to obtain the target resource matching result information.

[0150] It should be noted that the above-mentioned transmission of basic data information, first resource matching result information and second resource matching result information to the fourth resource matching module is carried out when transitioning from the in-cabin rescue phase to landing or docking, in order to obtain more accurate basic data information, first resource matching result information and second resource matching result information as much as possible, and to shorten the matching mismatch problem of rescue resources in the fourth resource matching module caused by time difference. This embodiment of the invention does not limit this.

[0151] It is evident that implementing the processing method for air medical rescue described in the embodiments of the present invention is beneficial to improving the efficiency and accuracy of automatic matching of rescue resources, thereby helping to improve the treatment rate of the wounded and sick.

[0152] In an optional embodiment, the fourth resource matching module calls the target resource analysis model to match the basic data information, the first resource matching result information, and the second resource matching result information to obtain the target resource matching result information, including:

[0153] Obtain the third basic resource information from the fourth resource matching module;

[0154] The target resource analysis model is invoked to analyze and process the basic data information, the first resource matching result information, and the second resource matching result information to obtain the target processed data information.

[0155] The target processing data and the third basic resource information are matched to obtain the target resource matching result information.

[0156] It should be noted that the aforementioned third basic resource information represents a land-based ambulance resource scheme, which includes several third sub-basic resource information items, and this embodiment of the invention does not limit the scope of such items. Furthermore, the aforementioned third sub-basic resource information can exist in vector form, with each vector element representing the availability of different types of ambulance resources, such as the number of doctors, nurses, ambulances, stretchers, oxygen cylinders, and available operating tables, etc., and this embodiment of the invention does not limit the scope of such items.

[0157] It should be noted that the aforementioned target processing data information characterization involves user data collected before reaching land and information on implemented rescue resources. This data is then matched with third-level basic resource information to determine a reasonable rescue resource matching scheme (i.e., target resource matching result information). This embodiment of the invention does not limit the specific details. Furthermore, the aforementioned matching process between the target processing data information and the third-level basic resource information can be based on a first resource matching model and a first matching threshold; this embodiment of the invention does not limit the specific details.

[0158] Furthermore, after confirming the target resource matching results, upon landing or docking, the emergency medical resources corresponding to the target resource matching results are rapidly replenished. Critically ill patients continue to receive treatment until their vital signs stabilize. If there are no critically injured individuals requiring immediate resuscitation or if a doctor is available, more seriously injured individuals are transferred out of the cabin using stretchers. Conversely, if there are no critically injured individuals requiring immediate resuscitation, no more seriously injured individuals needing transfer, or if a doctor is available, less seriously injured individuals are transferred out of the cabin using stretchers. In terms of personnel allocation, generally, two medical personnel can be assigned to in-cabin medical transport. Special medical transport services involving intensive care, advanced life support, or specialist care must have at least two accompanying medical personnel to ensure direct patient care. Medical transport involving basic life support should have at least one registered / licensed emergency responder accompanying the patient.

[0159] It is evident that implementing the processing method for air medical rescue described in the embodiments of the present invention is beneficial to improving the efficiency and accuracy of automatic matching of rescue resources, thereby helping to improve the treatment rate of the wounded and sick.

[0160] In another alternative embodiment, such as Figure 5As shown, the target resource analysis model includes a first network module, a second network module, a third network module, a first attention module, a second attention module, a first fusion module, a second fusion module, a third fusion module, a perceptual network module, a first convolutional module, a second convolutional module, a third convolutional module, a fourth convolutional module, a first normalization module, a second normalization module, a first activation module, a second activation module, a third activation module, and a first connection module; wherein,

[0161] The input of the first network module is configured to receive the first model input of the target resource analysis model, and the output of the first network module is connected to the input of the first fusion module; the input of the second network module is configured to receive the second model input of the target resource analysis model, and the output of the second network module is connected to the input of the first fusion module; the input of the third network module is configured to receive the third model input of the target resource analysis model, and the output of the third network module is connected to the input of the first fusion module; the first fusion module, the first attention module, the second attention module, the perceptual network module, the first convolution module, and the second convolution module are connected in sequence; the output of the second convolution module is connected to the input of the first normalization module and the input of the first fusion module; the first normalization module, the first activation module, the second fusion module, and the third convolution module are connected in sequence; the output of the third convolution module is connected to the input of the fourth convolution module and the input of the second fusion module; the fourth convolution module, the second normalization module, the second activation module, the second fusion module, the first connection module, and the third activation module are connected in sequence; the output of the third activation module is configured to output the model output of the target resource analysis model.

[0162] It should be noted that the first network module, the second network module, and the third network module mentioned above can be constructed based on the BERT model. The bidirectional Transformer encoder is used to perform single-dimensional contextual information on the data processed by the first resource matching module, the second resource matching module, and the third resource matching module, respectively, and then input into the first fusion module to fuse multi-type data. This is more conducive to the rich representation of multi-type implemented rescue resource information. The embodiments of the present invention are not limited.

[0163] It should be noted that the first attention module and the second attention module mentioned above are constructed based on the multi-head attention machine mechanism, so as to further capture the contextual association information of the fused multi-type information at different levels through multiple attention heads, thereby making it more conducive to the extraction of association features of the data processed by the first resource matching module, the second resource matching module and the third resource matching module, and improving the ability to accurately represent the deep features of the implemented rescue resource information. This embodiment of the invention does not limit this.

[0164] It should be noted that the above-mentioned perceptual network module is based on a multilayer perceptron, and the number of layers can be between 1 and 5, and the number of neurons in each layer can be between 20 and 50. This embodiment of the invention does not impose any limitation.

[0165] It should be noted that the first fusion module, the second fusion module, and the third fusion module described above are constructed based on the ADD operation, and this embodiment of the invention does not limit them.

[0166] It should be noted that the kernel size of the first, second, third, and fourth convolution modules is 1×1 and the stride is 1. This embodiment of the invention does not limit the size of the kernel.

[0167] It should be noted that the first normalization module and the second normalization module mentioned above are constructed based on the batch normalization layer, and this embodiment of the invention does not limit them.

[0168] It should be noted that the first activation module, the second activation module, and the third activation module described above are constructed based on the ReLU activation function, and this embodiment of the invention does not impose any limitations on them.

[0169] It should be noted that the first connection module described above is built on a fully connected layer, and this embodiment of the invention does not limit it.

[0170] It should be noted that the above-mentioned target resource analysis model first performs feature analysis on single-dimensional resource matching data through multiple BERT models to extract deep features of the data in a single dimension. Then, it performs fusion processing to form multi-dimensional resource matching data information. Then, it successively passes through the attention module, multilayer perceptron, and convolutional layer for deep feature extraction, and the convolutional feature fusion of the residual module of the convolutional layer to achieve effective extraction of global and local features. This improves the deep extraction representation of features of implemented rescue resource information and collected user information, which is more conducive to more accurate rescue resource matching analysis and processing in the fourth resource matching module. This embodiment of the invention is not limited.

[0171] It should be noted that the above target resource analysis model can be implemented based on Python 3.7 or later, trained on an NVIDIA GeForce RTX 3090 graphics card, and the training samples can be obtained by users annotating historical emergency medical resource matching information. During training, the batch size of the sample should be no less than 10, the number of iterations should be no less than 200, the optimizer should be AdamW, and the learning rate should be no greater than 1×10. -4 The loss function can be the cross-entropy loss function, and the trained model can be evaluated using accuracy, precision, and recall. This embodiment of the invention does not limit the scope of the loss function.

[0172] It is evident that implementing the processing method for air medical rescue described in the embodiments of the present invention is beneficial to improving the efficiency and accuracy of automatic matching of rescue resources, thereby helping to improve the treatment rate of the wounded and sick.

[0173] Example 2

[0174] Please see Figure 3 , Figure 3 This is a schematic diagram of a processing device for air medical rescue disclosed in an embodiment of the present invention. Figure 3 The described apparatus can be applied in management systems, such as local servers or cloud servers for management, and the embodiments of the present invention are not limited thereto. Figure 3 As shown, the device is applied to a personnel resource matching system, which includes a first resource matching module, a second resource matching module, a third resource matching module, a monitoring module, and a fourth resource matching module.

[0175] The device includes:

[0176] The first processing module is used to perform resource matching processing on the basic data information collected by the second resource matching module to obtain the first resource matching result information.

[0177] The second processing module is used to perform resource matching processing on the basic data information collected by the first resource matching module in the third resource matching module to obtain the second resource matching result information.

[0178] The third processing module is used to perform resource matching processing on the basic data information, the first resource matching result information and the second resource matching result information in the fourth resource matching module to obtain the target resource matching result information.

[0179] It is evident that implementation Figure 3 The described processing device for air medical evacuation helps improve the efficiency and accuracy of automatic matching of medical resources, thereby contributing to a higher survival rate for the wounded and sick.

[0180] In another alternative embodiment, such as Figure 3 As shown, the second resource matching module performs resource matching processing on the basic data information collected by the first resource matching module to obtain the first resource matching result information, including:

[0181] Obtain the first basic resource information from the second resource matching module;

[0182] Based on the first basic resource information and the basic data information collected by the first resource matching module, the first resource matching result information is determined.

[0183] It is evident that implementation Figure 3The described processing device for air medical evacuation helps improve the efficiency and accuracy of automatic matching of medical resources, thereby contributing to a higher survival rate for the wounded and sick.

[0184] In yet another alternative embodiment, such as Figure 3 As shown, based on the first basic resource information and the basic data information collected by the first resource matching module, the first resource matching result information is determined, including:

[0185] The first resource matching value is obtained by calculating and processing the first basic resource information and the basic data information collected by the first resource matching module using the first resource matching model.

[0186] The first resource matching model is as follows:

[0187]

[0188] In the formula, PPZ1 represents the first resource matching value; ZY1 and ZY2 represent the basic data information and the first basic resource information collected by the first resource matching module, respectively; a1 and a2 are the first matching coefficient and the second matching coefficient, respectively.

[0189] Determine whether the first resource matching value is greater than or equal to the first matching threshold to obtain the first matching judgment result;

[0190] When the first matching judgment result is yes, the first resource type information is determined as the first sub-resource matching result information in the first resource matching result information;

[0191] Update the primary basic resource information and basic data information;

[0192] If the result of the first match is negative, the judgment process corresponding to the result of the first match ends.

[0193] The second resource matching model is used to calculate and process the first basic resource information and basic data information to obtain the second resource matching value;

[0194] The second resource matching model is as follows:

[0195]

[0196] In the formula, PPZ2 represents the first resource matching value; ZY1 and ZY3 represent the basic data information and the second basic resource information collected by the first resource matching module, respectively; a3 and a4 are the third matching coefficient and the fourth matching coefficient, respectively.

[0197] Determine whether the second resource matching value is greater than or equal to the second matching threshold to obtain the second matching judgment result;

[0198] When the second matching judgment result is yes, the second resource type information is determined as the second sub-resource matching result information in the second resource matching result information;

[0199] When the second matching result is negative, the third resource type information is determined as the second sub-resource matching result information in the second resource matching result information.

[0200] It is evident that implementation Figure 3 The described processing device for air medical evacuation helps improve the efficiency and accuracy of automatic matching of medical resources, thereby contributing to a higher survival rate for the wounded and sick.

[0201] In yet another alternative embodiment, such as Figure 3 As shown, the third resource matching module performs resource matching processing on the basic data information collected by the first resource matching module to obtain the second resource matching result information, including:

[0202] Obtain the second basic resource information from the third resource matching module;

[0203] Based on the second basic resource information and the basic data information collected by the first resource matching module, the second resource matching result information is determined.

[0204] It is evident that implementation Figure 3 The described processing device for air medical evacuation helps improve the efficiency and accuracy of automatic matching of medical resources, thereby contributing to a higher survival rate for the wounded and sick.

[0205] In yet another alternative embodiment, such as Figure 3 As shown, the fourth resource matching module performs resource matching processing on the basic data information, the first resource matching result information, and the second resource matching result information to obtain the target resource matching result information, including:

[0206] The basic data information, the first resource matching result information, and the second resource matching result information are transmitted to the fourth resource matching module.

[0207] In the fourth resource matching module, the target resource analysis model is called to match the basic data information, the first resource matching result information, and the second resource matching result information to obtain the target resource matching result information.

[0208] It is evident that implementation Figure 3 The described processing device for air medical evacuation helps improve the efficiency and accuracy of automatic matching of medical resources, thereby contributing to a higher survival rate for the wounded and sick.

[0209] In yet another alternative embodiment, such as Figure 3As shown, the fourth resource matching module calls the target resource analysis model to match the basic data information, the first resource matching result information, and the second resource matching result information to obtain the target resource matching result information, including:

[0210] Obtain the third basic resource information from the fourth resource matching module;

[0211] The target resource analysis model is invoked to analyze and process the basic data information, the first resource matching result information, and the second resource matching result information to obtain the target processed data information.

[0212] The target processing data and the third basic resource information are matched to obtain the target resource matching result information.

[0213] It is evident that implementation Figure 3 The described processing device for air medical evacuation helps improve the efficiency and accuracy of automatic matching of medical resources, thereby contributing to a higher survival rate for the wounded and sick.

[0214] In yet another alternative embodiment, such as Figure 4 As shown, the target resource analysis model includes a first network module, a second network module, a third network module, a first attention module, a second attention module, a first fusion module, a second fusion module, a third fusion module, a perceptual network module, a first convolutional module, a second convolutional module, a third convolutional module, a fourth convolutional module, a first normalization module, a second normalization module, a first activation module, a second activation module, a third activation module, and a first connection module; wherein,

[0215] The input of the first network module is configured to receive the first model input of the target resource analysis model, and the output of the first network module is connected to the input of the first fusion module; the input of the second network module is configured to receive the second model input of the target resource analysis model, and the output of the second network module is connected to the input of the first fusion module; the input of the third network module is configured to receive the third model input of the target resource analysis model, and the output of the third network module is connected to the input of the first fusion module; the first fusion module, the first attention module, the second attention module, the perceptual network module, the first convolution module, and the second convolution module are connected in sequence; the output of the second convolution module is connected to the input of the first normalization module and the input of the first fusion module; the first normalization module, the first activation module, the second fusion module, and the third convolution module are connected in sequence; the output of the third convolution module is connected to the input of the fourth convolution module and the input of the second fusion module; the fourth convolution module, the second normalization module, the second activation module, the second fusion module, the first connection module, and the third activation module are connected in sequence; the output of the third activation module is configured to output the model output of the target resource analysis model.

[0216] It is evident that implementation Figure 4 The described processing device for air medical evacuation helps improve the efficiency and accuracy of automatic matching of medical resources, thereby contributing to a higher survival rate for the wounded and sick.

[0217] Example 3

[0218] Please see Figure 4 , Figure 4 This is a schematic diagram of the structure of another processing device for air medical rescue disclosed in an embodiment of the present invention. Wherein, ​ The described apparatus can be applied in management systems, such as local servers or cloud servers for management, and the embodiments of the present invention are not limited thereto. ​ As shown, the device may include:

[0219] Memory 301 storing executable program code;

[0220] Processor 302 coupled to memory 301;

[0221] The processor 302 calls the executable program code stored in the memory 301 to execute the steps in the processing method for air medical rescue described in Embodiment 1.

[0222] Example 4

[0223] This invention discloses a computer-readable storage medium that stores a computer program for electronic data interchange, wherein the computer program causes a computer to perform the steps in the processing method for air medical evacuation described in Embodiment 1.

[0224] Example 5

[0225] This invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to perform the steps in the processing method for air medical rescue described in Embodiment 1.

[0226] The device embodiments described above are merely illustrative. The modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical modules; that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0227] Through the detailed description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, including read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically-Erasable Programmable Read-Only Memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0228] Finally, it should be noted that the processing method and apparatus for air medical rescue disclosed in the embodiments of the present invention are merely preferred embodiments of the present invention, and are only used to illustrate the technical solutions of the present invention, not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A treatment method for air medical rescue, characterized in that, The method is applied to a personnel resource matching system, which includes a first resource matching module, a second resource matching module, a third resource matching module, a monitoring module, and a fourth resource matching module. The method includes: The second resource matching module performs resource matching processing on the basic data information collected by the first resource matching module to obtain the first resource matching result information, including: Obtain the first basic resource information from the second resource matching module; Based on the first basic resource information and the basic data information collected by the first resource matching module, the first resource matching result information is determined. The basic data information is data collected by the life monitoring device or information entered by the user after asking the injured person; the first basic resource information represents the available basic medical resources in the first stage of the rescue cabin, including the number of stretchers, the number of doctors, the number of seats in the cabin, and the layout of pure seats, pure stretcher layout and seat combination layout. The third resource matching module performs resource matching processing on the basic data information collected by the first resource matching module to obtain second resource matching result information, including: Obtain the second basic resource information of the third resource matching module; Based on the second basic resource information and the basic data information collected by the first resource matching module, the second resource matching result information is determined; The second basic resource information represents the rescue information that can be implemented during the in-cabin rescue phase. It includes several second sub-basic resource information. The second sub-basic resource information exists in the form of a vector. Each vector element represents the available quantity of different types of rescue resources. The vector elements include the type of medical treatment that can be performed, the number of medical staff, the number of basic rescue resources, the number of oxygen cylinders, and the number of psychological rescuers. The fourth resource matching module performs resource matching processing on the basic data information, the first resource matching result information, and the second resource matching result information to obtain target resource matching result information, including: The basic data information, the first resource matching result information, and the second resource matching result information are transmitted to the fourth resource matching module; The fourth resource matching module invokes the target resource analysis model to match the basic data information, the first resource matching result information, and the second resource matching result information to obtain the target resource matching result information, including: Obtain the third basic resource information of the fourth resource matching module; the third basic resource information represents the rescue resource plan that can be used on land, which includes several third sub-basic resource information. The third sub-basic resource information exists in the form of a vector. Each vector element represents the available quantity of different types of rescue resources. The vector elements include the number of doctors, nurses, ambulances, stretchers, oxygen cylinders, and available operating tables. The target resource analysis model is invoked to analyze and process the basic data information, the first resource matching result information, and the second resource matching result information to obtain the target processed data information. The target processing data information and the third basic resource information are matched to obtain target resource matching result information; The target resource analysis model includes a first network module, a second network module, a third network module, a first attention module, a second attention module, a first fusion module, a second fusion module, a third fusion module, a perceptual network module, a first convolution module, a second convolution module, a third convolution module, a fourth convolution module, a first normalization module, a second normalization module, a first activation module, a second activation module, a third activation module, and a first connection module; wherein, The input of the first network module is configured to receive a first model input of the target resource analysis model, and the output of the first network module is connected to the input of the first fusion module; the input of the second network module is configured to receive a second model input of the target resource analysis model, and the output of the second network module is connected to the input of the first fusion module; the input of the third network module is configured to receive a third model input of the target resource analysis model, and the output of the third network module is connected to the input of the first fusion module; the first fusion module, the first attention module, the second attention module, the perceptual network module, the first convolutional module, and the second... The convolutional modules are connected sequentially; the output of the second convolutional module is connected to the input of the first normalization module and the input of the second fusion module; the first normalization module, the first activation module, the second fusion module, and the third convolutional module are connected sequentially; the output of the third convolutional module is connected to the input of the fourth convolutional module and the input of the third fusion module; the fourth convolutional module, the second normalization module, the second activation module, the third fusion module, the first connection module, and the third activation module are connected sequentially; the output of the third activation module is configured to output the model output of the target resource analysis model.

2. A processing device for air medical rescue, characterized in that, The device includes: Memory containing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the processing method for air medical rescue as described in claim 1.

3. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions, which, when invoked, are used to execute the processing method for air medical rescue as described in claim 1.

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