Intelligent emergency rescue transfer scheduling method based on single-person transfer emergency system

Abstract

The invention discloses an intelligent emergency rescue transfer scheduling method based on a single-person transfer first-aid system, and relates to the technical field of emergency rescue and path planning, and the method specifically comprises the following steps: building a stretcher type single-person transfer first-aid system; acquiring position coordinates in a preset range through a positioning device; performing rescue, collecting real-time vital sign data of a rescue target, constructing a data monitoring and early warning model according to the vital sign data, and judging the vital sign data of the current rescue target according to the data monitoring and early warning model; by taking the judgment result of the vital sign data of the current rescue target as a reference, positioning and navigation are performed through a GIS system, and a rescue route is planned; and carrying out dynamic guidance and visual display on the rescue route. According to the method, the customized path is generated in combination with the vital sign condition of the trapped person, the rescue priority and the field environment information, so that long-time waiting of people at part of rescue stations is avoided, and load balancing is achieved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of emergency rescue and path planning, in particular to an intelligent emergency rescue and transportation dispatching system and method based on a single-person transportation emergency rescue system. BACKGROUND

[0002] The technical field of emergency rescue and path planning focuses on emergency rescue operations for sudden events such as natural disasters, accident disasters, public health incidents, and social security incidents. The core is to build a real-time path planning system, relying on geographic information systems (GIS), global positioning systems (GPS), sensor technology, communication technology, and big data analysis technology, to quickly calculate and adjust the optimal rescue path according to various actual possible factors, and to realize the two-way transmission of rescue path information and scientific decision support.

[0003] Currently, a personnel vital sign monitoring method and system for disaster rescue discloses a method for prioritizing rescue and sending rescue alarms based on the vital sign conditions of different trapped personnel and combining the extreme rescue time. However, this method still has certain limitations, including: (1) The trapped personnel are found through the above method, but due to the complex environment on site, how to allocate treatment is a pressing problem; (2) The monitoring types of vital sign monitoring parameters are relatively limited, and data transmission may produce noise due to obstruction, affecting the accuracy of vital sign monitoring data; (3) In an emergency environment, volunteers have difficulty quickly understanding, so visual path display is an important factor affecting whether trapped personnel can be treated in time. SUMMARY

[0004] The present application aims to provide an intelligent emergency rescue and transportation dispatching system and method based on a single-person transportation emergency rescue system to solve the problems in the prior art.

[0005] To achieve the above-mentioned purpose, the present application provides the following technical solution: an intelligent emergency rescue and transportation dispatching method based on a single-person transportation emergency rescue system, which specifically includes the following steps: Step S100, a stretcher-type single-person emergency rescue and transportation system is built; Step S200, based on the stretcher-type single-person emergency rescue and transportation system, the position coordinates within a predetermined range are obtained through a positioning device; Step S300, rescue is performed according to the obtained position coordinates, real-time vital sign data of the rescue target is collected through a sensor, a data monitoring and early warning model is constructed according to the real-time collected vital sign data, and the vital sign data of the current rescue target is judged according to the data monitoring and early warning model; Step S400, based on the judgment result of the vital sign data of the current rescue target, positioning navigation is performed through a GIS system, and a rescue route is planned; Step S500, the rescue route is dynamically guided and visually displayed.

[0006] In step S100, a stretcher type single person emergency rescue transfer system is built, specifically: The stretcher type single person emergency rescue transfer system comprises a new type of wheeled multi-position stretcher and a wireless data transmission system; The new type of wheeled multi-position stretcher integrates a GIS system, a plurality of sensors, an edge computing processor and a display device; In step S200, based on the stretcher type single person emergency rescue transfer system, the position coordinates within a preset range are obtained through a positioning device, specifically: The positioning device comprises a positioning bracelet; The positioning bracelet sends the current position information through a wireless data transmission end; The position receiving module in the GIS system integrated in the stretcher type single person emergency rescue transfer system obtains the current position coordinates of the positioning bracelet.

[0007] In step S300, rescue is performed according to the obtained position coordinates, real-time vital sign data of the rescue target is collected through a sensor, a data monitoring and early warning model is constructed according to the real-time collected vital sign data, and the vital sign data of the current rescue target is judged according to the data monitoring and early warning model, specifically including the following steps: Step S301, rescue is performed according to the obtained position coordinates; Step S302, the new type of wheeled multi-position stretcher is used as a carrier of the rescue target; Step S303, vital sign data of the rescue target is collected in real time through the sensor integrated in the new type of wheeled multi-position stretcher; Step S304, according to the real-time collected vital sign data of the rescue target, the vital sign data is fitted with time as a variable to obtain a vital sign data estimation function; As a preferred, the data fitting formula is: y=a0+a1*x+a2*x 2 +a3*x 3 ; Wherein, x is the acquisition time of the vital sign data; y represents the corresponding vital sign data; a0, a1, a2 and a3 are fitting parameters; Step S305, according to the vital sign data estimation function obtained by fitting, a change rate estimation function of the vital sign data is calculated; As preferred, the rate of change estimation function formula of vital sign data is: y'' = 2 * a2 + 6 * a3 * x; Wherein, y'' represents the rate of change of vital sign data; Step S306, according to the size of the rate of change of different vital sign data, compared with the preset rate of change threshold, get the emergency assessment value.

[0008] As preferred, When y'' < 0, the predicted warning time is: t1 = (t f -t0) / 4; When y'' > 0, the predicted warning time is: t1 = (t f -t0) / 2; When y'' = 0, the predicted warning time is: t1 = 3(t f -t0) / 4; The measurement formula of the emergency assessment value is: r = 1-t1 / t f ; Wherein, t1 represents the predicted warning time; t f represents the time corresponding to the preset rate of change threshold calculated by the vital sign data value; t0 represents the acquisition time when the normal vital sign data value is acquired; r represents the emergency assessment value; As preferred, The new wheeled multi-position stretcher can receive the current position coordinates of the positioning device in real time during movement, and mark the monitored position through the GIS system; the monitoring range is expanded, and the monitoring speed is more advantageous; the position of personnel can be judged according to the time of receiving signals and the strength of receiving signals, and concentrated rescue can be carried out; As preferred, the new wheeled multi-position stretcher is equipped with a signal amplification device, which can amplify and retransmit the data sent by the nearby new wheeled multi-position stretcher through the wireless signal transmission system, improve the data quality, and expand the wireless data transmission range.

[0009] In step S400, the judgment result of the vital sign data of the current rescue target is taken as the benchmark, the positioning navigation is carried out through the GIS system, and the rescue route is planned, and the specific steps are: Step S401, according to the size of the emergency assessment value, the positions of the new wheeled multi-position stretchers corresponding to the rescue targets are input into the dispatch queue in turn; Step S402, real-time update the rescue site information through the wireless data transmission system, according to the rescue site medical load, the rescue target load, the distance between the rescue target and the rescue site and the real-time vital sign load of the rescue target, the rescue route planning is carried out; the rescue route planning is carried out in the edge computing processor integrated in the new type of wheeled multi-position stretcher.

[0010] As preferred, variable standardization is carried out to eliminate the dimension; The number of medical personnel M is normalized to [0, 1]: M'=M / M max ; Wherein, M' represents the normalized medical personnel quantity index; M max represents the maximum value of the number of medical personnel of different rescue sites; The number of rescue targets N and the number of rescue targets in transit T are normalized to [0, 1]: L'=(N+T) / (N+T) total ; wherein, (N+T) total represents the sum of the number of rescue targets N of all rescue sites and the number of rescue targets in transit T; L' represents the normalized number of different rescue targets N and the number of rescue targets in transit T; The distance D between the rescue target and the rescue site is normalized to [0, 1]: D'=D / D max ; Wherein, D max represents the maximum value of the distance D between the rescue target and the rescue site; D' represents the normalized distance between the rescue target and the rescue site; The rescue route planning is the selection of the rescue site, and the specific representation formula is: ; Wherein, C represents the theoretical maximum load of a single medical personnel; y'' represents the change rate of vital sign data; a represents the distance attenuation constant; y' represents the instantaneous mutation value of vital sign data; represents the selection priority of the rescue site; Wherein, the rescue site medical load is represented by the number of medical personnel of the rescue site, the change rate of vital sign data and the theoretical maximum load of a single medical personnel; The real-time vital sign load of the rescue target is represented by the instantaneous mutation value of vital sign data; the rescue target load of the rescue site is represented by the sum of the number of rescue targets N of the rescue site and the number of rescue targets in transit T; Wherein, the vital sign data estimation function obtained based on step S304; the first derivative is calculated to obtain the instantaneous mutation estimation function of vital sign data: y' = a1 + 2*a2*x + 3*a3*x 2 ; wherein, x is the acquisition time of vital sign data; y' represents the instantaneous mutation of vital sign data; a0, a1, a2 and a3 are fitting parameters; In step S500, the rescue route is dynamically guided and visually displayed, specifically: The display device includes a terminal display screen; The terminal display screen receives the rescue site information of the GIS system and the rescue planning route generated in the edge computing processor through wired connection, performs visual display, and is updated in real time to provide dynamic guidance.

[0011] An intelligent emergency rescue and transportation dispatching system based on a single-person transportation emergency system, the vital sign monitoring system includes a data acquisition module, a data transmission module, a data preprocessing module, an edge computing module, and a visualization display module; The data acquisition module is used to acquire sensor data, rescue site information, the number of rescue targets in transit, and the distance between the rescue target and the rescue site; The data transmission module is used to transmit data through a wireless data transmission-based method, including receiving position signals of the positioning device, transmitting sensor data, and transmitting rescue site information; The data preprocessing module is used to preprocess the real-time collected sensor data; the preprocessing includes data normalization processing; The edge computing module is used to take a new type of wheeled multi-position stretcher as an edge computing node, to calculate an emergency evaluation value in real time, and to plan a rescue route according to the emergency evaluation value; The visualization display module is used to visually display the rescue planning route and update it in real time to provide dynamic guidance; The output end of the data acquisition module is connected to the input end of the data transmission module; the output end of the data transmission module is connected to the input end of the data preprocessing module; the output end of the data preprocessing module is connected to the input end of the edge computing module; the output end of the edge computing module is connected to the input end of the visualization display module.

[0012] Specifically: The data acquisition module supports raw collected data storage.

[0013] The edge computing module includes a data caching unit, a GIS unit, and an edge computing processor unit; The data caching unit is used to store preprocessed data; As preferred, due to the existence of data leakage and storage capacity problems, a data cache unit is arranged instead of a data storage unit, the data cache unit is initialized after each vital sign data fitting is completed, and only a small cache is required to complete; The GIS unit is used for real-time updating of rescue site information and the current position of the novel wheeled multi-position stretcher; The edge computing processor unit is used for rescue route planning according to the medical load of the rescue site, the rescue target load, the distance between the rescue target and the rescue site, and the real-time vital sign load of the rescue target.

[0014] Specifically, The visual display module is used for receiving the rescue site information of the GIS system and the rescue planning route generated in the edge computing processor through wired connection, performing visual display, and real-time updating, and providing dynamic guidance.

[0015] Compared with the prior art, the present application has the following beneficial effects based on the limitations of the existing disaster rescue vital sign monitoring method and system: first, for complex on-site treatment problems, the present application combines the vital sign conditions of trapped personnel, rescue priorities and on-site environmental information to intelligently generate customized path solutions, shortens the time consumption of the journey, avoids long waiting time of personnel at some rescue sites, and achieves load balancing; second, to solve the limitations of vital sign monitoring parameter types and data transmission problems, the present application uses multi-sensor fusion technology to broaden the range of vital sign monitoring parameters, and integrates a wireless data transmission system on the novel wheeled multi-position stretcher to reduce the noise influence caused by shielding and ensure the accuracy and stability of the data; third, for the demand of emergency environment visual path display, the present application introduces a GIS system and a visual device to update path information in real time, label dangerous areas and rescue resource distribution, so that volunteers and rescue personnel can quickly grasp the environmental situation and plan the optimal rescue route. BRIEF DESCRIPTION OF DRAWINGS

[0016] Figure 1 It is a step schematic diagram of the intelligent emergency rescue transfer scheduling system and method based on the single-person transfer first-aid system of the present application; Figure 2 It is a structure schematic diagram of the intelligent emergency rescue transfer scheduling system based on the single-person transfer first-aid system of the present application; Figure 3 It is a structure schematic diagram of the novel wheeled multi-position stretcher of the present application; In the drawings, a represents the bearing length of the new wheeled multi-position stretcher; b represents the overall length of the new wheeled multi-position stretcher; c represents the bearing width of the new wheeled multi-position stretcher; d represents the universal wheel; e represents the display device; f represents the fixed safety belt; and g represents the first aid equipment storage box. DETAILED DESCRIPTION

[0017] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0018] Embodiment: As shown in the drawings, the present application provides a technical solution, as shown in the drawings, an intelligent emergency rescue and transport dispatching method based on a single-person transport first aid system, a vital sign monitoring method specifically includes the following steps: Figures 1-3 Figure 1 As shown in the drawings, the present application provides a technical solution, as shown in the drawings, an intelligent emergency rescue and transport dispatching method based on a single-person transport first aid system, a vital sign monitoring method specifically includes the following steps: Step S100, a stretcher type single-person first aid transport system is built; Step S200, based on the stretcher type single-person first aid transport system, the position coordinates within a preset range are obtained through a positioning device; Step S300, rescue is performed according to the obtained position coordinates, real-time vital sign data of a rescue target is collected through a sensor, a data monitoring and early warning model is constructed according to the real-time collected vital sign data, and the vital sign data of the current rescue target is judged according to the data monitoring and early warning model; Step S400, taking the judgment result of the vital sign data of the current rescue target as a benchmark, positioning and navigation are performed through a GIS system, and a rescue route is planned; Step S500, the rescue route is dynamically directed and visually displayed.

[0019] In step S100, the stretcher type single-person first aid transport system is built, specifically: The stretcher type single-person first aid transport system includes a new wheeled multi-position stretcher and a wireless data transmission system; The new wheeled multi-position stretcher integrates a GIS system, a plurality of sensors, an edge computing processor and a display device; The new wheeled multi-position stretcher is as shown in the drawings; Figure 3 a represents the bearing length of the new wheeled multi-position stretcher; b represents the overall length of the new wheeled multi-position stretcher; c represents the bearing width of the new wheeled multi-position stretcher; d represents the universal wheel; e represents the display device; f represents the fixed safety belt; and g represents the first aid equipment storage box; ​​The display device is connected with the edge computing processor through a data line. The first aid device storage box is provided with emergency treatment tools; The sensor includes a heart rate monitoring sensor, a body temperature monitoring sensor, a pulse sensor, a blood pressure sensor, a respiration sensor, and a blood oxygen saturation sensor, etc. The body temperature monitoring sensor is distributed at different positions of the patient's body. In step S200, based on the stretcher type single person first aid transfer system, the position coordinates within the preset range are obtained through the positioning device, specifically: The positioning device includes a positioning bracelet. The positioning bracelet sends the current position information through a wireless data transmission end. The position receiving module in the GIS system integrated in the stretcher type single person first aid transfer system obtains the current position coordinates of the positioning bracelet.

[0020] In step S300, rescue is performed according to the obtained position coordinates, real-time vital sign data of the rescue target is collected through the sensor, a data monitoring and early warning model is constructed according to the real-time collected vital sign data, and the vital sign data of the current rescue target is judged according to the data monitoring and early warning model, specifically including the following steps: Step S301, rescue is performed according to the obtained position coordinates; Step S302, the new wheeled multi-position stretcher is used as a carrier of the rescue target; Step S303, the vital sign data of the rescue target is collected in real time through the sensor integrated in the new wheeled multi-position stretcher; Step S304, according to the real-time collected vital sign data of the rescue target, the vital sign data is fitted with time as a variable to obtain a vital sign data estimation function; The data fitting formula is: y=a0+a1*x+a2*x 2 +a3*x 3 ; Wherein, x is the acquisition time of the vital sign data; y represents the corresponding vital sign data; a0, a1, a2 and a3 are fitting parameters; Step S305, according to the vital sign data estimation function obtained by fitting, a change rate estimation function of the vital sign data is calculated; The formula for calculating the change rate estimation function of the vital sign data is: y’’=2*a2+6*a3*x; Wherein, y’’ represents the change rate of the vital sign data; Step S306, according to the change rate of different vital sign data, a preset change rate threshold is compared to obtain an emergency evaluation value.

[0021] As preferred, When y'' < 0, the predicted early warning time is: t1 = (t f -t0) / 4; When y'' > 0, the predicted early warning time is: t1 = (t f -t0) / 2; When y'' = 0, the predicted early warning time is: t1 = 3(t f -t0) / 4; The metric formula of the emergency evaluation value is: r = 1-t1 / t f ; Wherein, t1 represents the predicted early warning time; t f represents the time when the calculated vital sign data value reaches the preset change rate threshold; t0 represents the acquisition time when the normal vital sign data value is started to be acquired; r represents the emergency evaluation value; The new wheeled multi-position stretcher can receive the current position coordinates of the positioning device in real time during movement, and mark the monitored position through a GIS system; the monitoring range is expanded, and the monitoring speed is more advantageous; the position of the personnel can be judged according to the time of receiving the signal and the strength of the received signal, and concentrated rescue can be performed; The new wheeled multi-position stretcher is equipped with a signal amplification device, which can amplify and retransmit the data sent by the nearby new wheeled multi-position stretcher through the wireless signal transmission system, improve the data quality, and expand the wireless data transmission range.

[0022] In step S400, the positioning navigation is performed through the GIS system and the rescue route is planned based on the judgment result of the vital sign data of the current rescue target, and the specific steps are as follows: Step S401, the positions of the new wheeled multi-position stretchers corresponding to the rescue targets are input into the dispatch queue in turn according to the sizes of the emergency evaluation values; Step S402, the rescue site information is updated in real time through the wireless data transmission system, and the rescue route is planned according to the medical load of the rescue site, the load of the rescue target, the distance between the rescue target and the rescue site, and the real-time vital sign load of the rescue target; the rescue route planning is performed in the edge computing processor integrated in the new wheeled multi-position stretcher.

[0023] Variable standardization is performed to eliminate the dimension; The number of medical personnel M is normalized to [0, 1]: M' = M / M max ; Wherein, M' represents the normalized medical personnel quantity index; M max represents the maximum value of the number of medical personnel at different rescue sites; The number of rescue targets N and the number of rescue targets T in transit are normalized to [0, 1]: L' = (N + T) / (N + T) total ; wherein (N + T) total represents the sum of the number of rescue targets N of all rescue sites and the number of all rescue targets T in transit; L' represents the normalized number of different rescue targets N and the number of rescue targets T in transit; The distance D between the rescue target and the rescue site is normalized to [0, 1]: D' = D / D max ; wherein D max represents the maximum value of the distance D between the rescue target and the rescue site; D' represents the normalized distance between the rescue target and the rescue site; The rescue route planning is the selection of the rescue site, and the specific representation formula is: ; wherein C represents the theoretical maximum load of a single medical staff; y'' represents the rate of change of vital sign data; a represents the distance attenuation constant; y' represents the instantaneous mutation value of vital sign data; represents the selection priority of the rescue site; wherein the medical load of the rescue site is represented by the number of medical staff of the rescue site, the rate of change of vital sign data, and the theoretical maximum load of a single medical staff; The real-time vital sign load of the rescue target is represented by the instantaneous mutation value of vital sign data; the rescue target load of the rescue site is represented by the sum of the number of rescue targets N of the rescue site and the number of all rescue targets T in transit; wherein the vital sign data estimation function is obtained based on step S304; the first derivative is calculated to obtain the instantaneous mutation estimation function of vital sign data: y' = a1 + 2*a2*x + 3*a3*x 2 ; wherein x is the acquisition time of vital sign data; y' represents the instantaneous mutation of vital sign data; a0, a1, a2, and a3 are fitting parameters; Input: {Mi, Ni, Ti, Di} of all candidate rescue sites; Calculation: Priority score of each site Priority_i; wherein i represents the selection label of different rescue sites; Sorting: descending order according to the score, and selecting Top-K sites to generate candidate routes; In step S500, the rescue route is dynamically guided and visually displayed, specifically: The display device comprises a terminal display screen; The terminal display screen receives the rescue station information of the GIS system and the rescue planning route generated by the edge computing processor in a wired connection mode, performs visual display, and is updated in real time to provide dynamic guidance.

[0024] As shown in Figure 2 An intelligent emergency rescue and transport dispatching system based on a single-person transport first-aid system, comprising a data acquisition module, a data transmission module, a data preprocessing module, an edge computing module, and a visual display module; The data acquisition module is used to acquire sensor data, rescue station information, the number of rescue targets in transit, and the distance between rescue targets and rescue stations; The data transmission module is used to transmit data through a wireless data transmission-based method, including receiving position signals of positioning devices, and transmitting sensor data and rescue station information; The data preprocessing module is used to preprocess real-time acquired sensor data; preprocessing includes data normalization processing; The edge computing module is used to take a new wheeled multi-position stretcher as an edge computing node, to calculate an emergency evaluation value in real time, and to plan a rescue route according to the emergency evaluation value; The visual display module is used to visually display the rescue planning route and update it in real time to provide dynamic guidance; The output end of the data acquisition module is connected to the input end of the data transmission module; the output end of the data transmission module is connected to the input end of the data preprocessing module; the output end of the data preprocessing module is connected to the input end of the edge computing module; and the output end of the edge computing module is connected to the input end of the visual display module.

[0025] Specifically, The data acquisition module supports storage of raw collected data.

[0026] The edge computing module comprises a data caching unit, a GIS unit, and an edge computing processor unit; The data caching unit is used to store preprocessed data; After each vital sign data fitting is completed, the data caching unit is initialized, and only a small amount of caching is required to complete the initialization; The GIS unit is used to update rescue station information and the current position of the new wheeled multi-position stretcher in real time; The edge computing processor unit is used to plan a rescue route according to rescue station medical load, rescue target load, the distance between rescue targets and rescue stations, and real-time vital sign load of rescue targets.

[0027] It will be apparent to those skilled in the art that the application is not limited to the details of the above-exemplified embodiments and that the present application can be implemented in other particular forms without departing from the spirit or essential characteristics of the present application. The embodiments should therefore be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the above description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. No reference signs in the claims should be considered as limiting the scope of the claims with respect to the figures of the patent document.

Claims

1. An intelligent emergency rescue and transfer scheduling method based on a single-person transfer emergency system, characterized by: The vital signs monitoring method specifically comprises the following steps: Step S100: Building a stretcher-type single-person emergency transport system; Step S200: Based on the stretcher-type single-person emergency transport system, a positioning device is used to obtain position coordinates within a preset range; Step S300: Rescue is performed based on the acquired location coordinates, real-time vital sign data of the rescue target is collected through sensors, a data monitoring and early warning model is constructed based on the real-time collected vital sign data, and the vital sign data of the current rescue target is judged based on the data monitoring and early warning model; Step S400: Based on the judgment result of the vital sign data of the current rescue target, positioning navigation is performed through the GIS system, and rescue route planning is performed; Step S500: Dynamically guide and visualize the rescue route.

2. The intelligent emergency rescue and transfer scheduling method based on a single-person transfer emergency system according to claim 1 is characterized by: In step S100, a stretcher-type single-person emergency transport system is constructed, specifically: The stretcher-type single-person emergency transport system includes a new wheeled multi-position stretcher and a wireless data transmission system; The novel wheeled multi-position stretcher integrates a GIS system, several sensors, an edge computing processor and a display device.

3. The intelligent emergency rescue and transfer scheduling method based on a single-person transfer emergency system according to claim 2 is characterized by: In step S200, based on the stretcher-type single-person emergency transport system, the position coordinates within a preset range are obtained by a positioning device, specifically: The positioning device includes a positioning bracelet; The positioning bracelet sends the current location information via the wireless data transmitter; The position receiving module in the GIS system integrated in the stretcher-type single-person emergency transport system obtains the current position coordinates of the positioning wristband.

4. The intelligent emergency rescue and transfer scheduling method based on a single-person transfer emergency system according to claim 3 is characterized by: In step S300, rescue is performed based on the acquired position coordinates, real-time vital sign data of the rescue target is collected through sensors, a data monitoring and early warning model is constructed based on the real-time collected vital sign data, and the vital sign data of the current rescue target is judged based on the data monitoring and early warning model. Specifically, the steps include: Step S301: Perform rescue according to the acquired location coordinates; Step S302: using the novel wheeled multi-position stretcher as a carrier for the rescue target; Step S303: collecting the vital sign data of the rescue target in real time through the sensors integrated in the novel wheeled multi-position stretcher; Step S304: Based on the real-time collection of the rescue target's vital sign data, the vital sign data is fitted with time as a variable to obtain a vital sign data estimation function; Step S305: Calculate the rate of change estimation function of the vital signs data based on the fitted vital signs data estimation function; Step S306: Compare the change rates of different vital sign data with a preset change rate threshold to obtain an emergency assessment value.

5. The intelligent emergency rescue and transfer scheduling method based on a single-person transfer emergency system according to claim 1 is characterized by: In step S400, based on the judgment result of the vital sign data of the current rescue target, positioning navigation is performed through the GIS system, and rescue route planning is performed. The specific steps are as follows: Step S401: inputting the positions of the new wheeled multi-position stretcher corresponding to the rescue target into a dispatch queue in sequence according to the magnitude of the emergency assessment value; Step S402: Update the rescue site information in real time through the wireless data transmission system, and plan the rescue route based on the medical load of the rescue site, the rescue target load, the distance between the rescue target and the rescue site, and the real-time vital signs load of the rescue target; the rescue route planning is performed in the edge computing processor integrated in the novel wheeled multi-position stretcher.

6. The intelligent emergency rescue and transfer scheduling method based on a single-person transfer emergency system according to claim 2 is characterized by: In step S500, the rescue route is dynamically guided and visually displayed, specifically: The display device includes a terminal display screen; The terminal display screen receives the rescue site information of the GIS system and the rescue planning route generated in the edge computing processor through a wired connection, displays it visually, and updates it in real time to provide dynamic guidance.

7. An intelligent emergency rescue and transfer dispatching system based on a single-person transport first aid system, applied to the intelligent emergency rescue and transfer dispatching method based on a single-person transport first aid system according to any one of claims 1 to 6, characterized in that: The vital signs monitoring system includes a data acquisition module, a data transmission module, a data preprocessing module, an edge computing module and a visualization display module; The data acquisition module is used to collect sensor data, rescue site information, the number of rescue targets in transit, and the distance between the rescue targets and the rescue sites; The data transmission module is used to transmit data by a method based on wireless data transmission, including receiving a position signal from a positioning device, and transmitting sensor data and rescue site information; The data preprocessing module is used to preprocess the sensor data collected in real time; The preprocessing includes data normalization processing; The edge computing module is used to calculate the emergency assessment value in real time using the new wheeled multi-position stretcher as an edge computing node, and to plan the rescue route based on the emergency assessment value; The visualization module is used to visualize the rescue plan route and update it in real time to provide dynamic guidance; The output end of the data acquisition module is connected to the input end of the data transmission module; the output end of the data transmission module is connected to the input end of the data preprocessing module; the output end of the data preprocessing module is connected to the input end of the edge computing module; the output end of the edge computing module is connected to the input end of the visualization display module.

8. The intelligent emergency rescue and transfer dispatching system based on the single-person transfer emergency system according to claim 7 is characterized by: Specifically: The data acquisition module supports storage of original acquired data.

9. The intelligent emergency rescue and transfer dispatching system based on a single-person transfer emergency system according to claim 7, characterized in that: The edge computing module includes a data cache unit, a GIS unit and an edge computing processor unit; The data cache unit is used to store the pre-processed data, and the data cache unit is initialized after each vital sign data fitting is completed; The GIS unit is used to update rescue site information and the current location of the new wheeled multi-position stretcher in real time; The edge computing processor unit is used to plan a rescue route based on the medical load of the rescue site, the rescue target load, the distance between the rescue target and the rescue site, and the real-time vital signs load of the rescue target.

10. The intelligent emergency rescue and transfer dispatching system based on the single-person transfer emergency system according to claim 9, characterized in that: Specifically: The visualization display module is used to receive the rescue site information of the GIS system and the rescue planning route generated in the edge computing processor through a wired connection, perform visual display, and update in real time to provide dynamic guidance.

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