Rescue system for pre-hospital first aid and working method

Abstract

The invention discloses a rescue system for pre-hospital first aid and a working method.The rescue system comprises a medical robot, the medical robot is provided with a first-aid kit, a camera, a microphone and a loudspeaker, and the medical robot can quickly arrive at a site, provide site information and assist in completing simple first-aid operation; the rescue system comprises a flight control system, an electric control system, an intelligent system and an identification system. The flight control system realizes stable flight and accurate positioning, and the electric control system monitors the state of components and guarantees safety; the intelligent system covers a ground control station, a cloud data storage and autonomous learning module and a difficult case system, and can plan a route, store data, optimize a working mode and provide first-aid reference; the recognition system comprises an information detection and identity recognition module and a sign language interaction system, and can realize precise identity recognition and special crowd interaction; the problems that medical staff cannot accurately grasp patient information, so that accurate rescue is difficult through telephone guidance, and communication with disabled people is difficult are solved.

Description

Technical Field

[0001] The present invention belongs to the technical field of medical drones, and in particular relates to a rescue system and a working method for pre-hospital emergency treatment. Background Art

[0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art.

[0003] Currently, pre-hospital emergency care in hospitals mainly relies on two methods: popularizing first aid knowledge among citizens and telephone guidance from medical staff. In the context of the 5G era, artificial intelligence technology has gradually participated in pre-hospital emergency care, and drones have been used in the field of emergency care. Their operating modes include searching and positioning in complex terrains, distributing medicines and blood products, and carrying first aid equipment to make medical visits. Relevant patents are mostly centered around optimizing ambulance transmission and emergency connection. Existing medical robots are mostly used for in-hospital services, and very few robots are actually used for emergency treatment. In addition, it is difficult for medical staff to accurately grasp patient information through telephone guidance, and the levels of on-site operators are uneven and their professionalism is insufficient. In addition, pre-hospital emergency drone solutions are mostly based on existing technologies and specific situations, lacking technological innovation. They have not yet been invested in pre-hospital emergency work, and land and air robots have not yet been involved in the medical field. There is a lack of systematic pre-hospital emergency medical land and air robot implementation plans. Summary of the Invention

[0004] In response to the above problems, the present invention provides a medical robot, rescue system and working method for pre-hospital emergency treatment, which solves the problem that medical personnel cannot accurately grasp the patient's information and thus cannot provide accurate rescue instructions through telephone guidance. It also solves the problem of communication difficulties for people with disabilities; it also solves the problem that emergency drugs cannot be delivered quickly and accurately under the traditional emergency treatment mode.

[0005] In order to achieve the above object, the present invention is implemented through the following technical solutions: In the first aspect, the present invention provides a rescue system for pre-hospital emergency treatment, comprising a robot body, a control system, a remote system and an identification system arranged at the top of the robot body; the control system is used to control the flight of the robot, and the identification system is composed of an information detection and identity recognition module and a sign language interaction system; the remote system is composed of a ground control station, cloud data storage, an autonomous learning module and a difficult case system, the autonomous learning module establishes a communication connection with the information detection system, the identity recognition module and the sign language interaction system, the ground control station is connected to the autonomous learning module for retrieving information output by the autonomous learning module, and the ground control station also establishes communication with the cloud data storage and the difficult case system respectively for retrieving cloud data and difficult and complicated disease data; a battery slot is provided in the middle of the robot body, first aid kits are provided on the left and right sides of the battery slot, a camera is provided at the bottom of the battery slot, a drive wheel is provided at the bottom of the robot body, a microphone is provided on the front of the top of the robot body, and a speaker is provided on the arm of the robot body; the control system is electrically connected to the camera, microphone, speaker and drive wheel respectively.

[0006] As a further implementation method, the control system is composed of a flight control system and an electronic control system; the flight control system is composed of a flight sensor, an onboard computer and a servo device, the flight sensor is connected to the onboard computer, and the onboard computer is connected to the servo device; the electronic control system is composed of a control sensor, a signal processing circuit, an electronic control unit, an actuator and a self-diagnosis circuit, the control sensor is connected to the electronic control unit through the signal processing circuit, the electronic control unit is connected to and controls the actuator, and the self-diagnosis circuit is connected to the electronic control unit and monitors the electronic control unit in real time.

[0007] As a further implementation method, the ground control station is also used to realize flight route planning, information retrieval and issuance, and background flight safety detection; the ground control station is communicated with the onboard computer in the flight control system to realize the transmission of flight route planning instructions and the reception of flight status data.

[0008] As a further implementation method, the cloud data storage and autonomous learning module also establishes communication with the flight control system, uploads flight data to the cloud in real time, and conducts autonomous learning based on the accumulation of big data to calibrate the flight control system to ensure safe and accurate navigation.

[0009] As a further implementation method, the search and retrieval module of the difficult case system is used to store remote expert guidance case data for doctors to search and retrieve during the first aid process; the difficult case system establishes a communication connection with the speaker so that simple first aid treatment methods can be delivered to the scene for rescue and medication guidance.

[0010] As a further implementation method, the control system is also provided with a positioning module for enabling the robot to realize the function of displaying population density through autonomous learning of data, and supporting remote application for adjusting positioning according to population density when emergency positioning is inaccurate; the positioning module is respectively communicated with the flight control system and the identification system, obtains data through the identification system, and feeds back the positioning adjustment flight data to the control system.

[0011] As a further implementation method, the autonomous learning module and recognition accuracy module are equipped with a face detection algorithm developed based on YOLOv3, trained using a wider face dataset, and transmit the obtained data results to a ground control station, which then retrieves data from the cloud data storage and difficult case system based on the data results.

[0012] As a further implementation method, the information detection and identity recognition module is connected to the camera for communication to obtain camera data and transmit the facial data to the facial recognition system for identity recognition and information retrieval; when the face is blocked or damaged and affects recognition, data is collected based on the camera, and the microphone and speaker on the robot body are activated to inquire about the patient's information.

[0013] As a further implementation method, the batteries in the battery slot are electrically connected to the control system, identification system, camera, microphone, speaker, and driving wheel to provide power for them.

[0014] In a second aspect, the present invention further provides a working method of a rescue system for pre-hospital emergency care, comprising the following steps: S1. The ground control station receives an emergency call and locks the patient's mobile phone location; S2. The robot's control system is activated to determine whether flight conditions are met. If so, the robot arrives at the emergency scene and identifies the patient using its camera, information detection system, and identification module. The ground control station retrieves the patient's medical records and medical history using information output by the autonomous learning module and provides feedback to medical staff. S3. The robot can record the scene in real time through the camera and convey the instructions of medical staff through the speaker. The on-site personnel can communicate with the medical staff through the microphone to achieve the function of remote control of the emergency scene; the robot can recognize the sign language information of the disabled through the camera and conduct special communication; the robot is equipped with first aid kits on both sides, which can be remotely controlled by the doctor to automatically discharge first aid medicines, and assist on-site personnel to perform simple first aid operations.

[0015] Compared with the prior art, the present invention has the following advantages and positive effects: This invention abandons the traditional pre-hospital emergency model that relies on telephone guidance. Through the "artificial intelligence + pre-hospital emergency" model, video guidance and symptomatic medication can maximize the use of on-site witnesses, which not only provides strong rear support to caring people who implement on-site treatment, but also ensures that the first aid is carried out efficiently, orderly and accurately. The flight control system can perceive the robot's posture, position, and altitude information in real time, achieving stable flight and precise positioning; the electronic control system can monitor the working status of components, issue timely alarms and provide protection in case of faults, and ensure the reliable operation of the robot; the ground control station can plan the optimal flight route and monitor equipment status and mission progress; the cloud data storage and autonomous learning module uploads data in real time and optimizes working modes and processing strategies based on big data learning, outputs simple processing methods, and optimizes and upgrades the flight system and difficult case system, continuously improving flight safety and diagnostic accuracy, and greatly reducing the complexity of operations, increasing the speed of first aid; improving intelligence level and work efficiency; the difficult case system allows doctors to obtain expert experience and guidance, and provide more accurate and effective first aid plans; the information detection and identity recognition module can also improve the success rate of identity recognition when the face is obscured or damaged, and can also quickly retrieve the patient's medical records and medical history to provide comprehensive reference for medical staff; the sign language interaction system can realize special communication with people with disabilities, accurately obtain their needs and information, and make first aid cover a wider range of people.

[0016] The robot body of the present invention is made of high-strength, lightweight alloy material, which can not only ensure that it can withstand collisions and bumps, but also reduce weight and facilitate movement and transportation; the sealed and heat-insulating structure of the battery slot is matched with a high-capacity lithium battery pack to meet the power requirements of long-term emergency tasks; the drawer-type first aid kit is partitioned and stored according to category and frequency of use for easy access; the high-definition wide-angle night vision camera can clearly capture the scene in various environments; the noise-canceling microphone can accurately capture voice in noisy environments, and the speaker is used to convey instructions. The medical robot can quickly and stably reach the emergency scene, provide rich information to medical staff, and help on-site personnel complete simple first aid operations, shorten response time, and improve first aid efficiency and success rate.

[0017] The flight ground station application of the ground control station of the present invention can perform route planning, comprehensive management and background security testing; the intelligent learning and positioning module realizes the function of displaying population density, and can adjust the positioning according to population density when the positioning is inaccurate; the face detection algorithm developed based on YOLOv3 has high face detection accuracy and speed after training and optimization, and can quickly and accurately identify faces in complex environments, making pre-hospital emergency treatment more targeted and greatly reducing the complications of hospital emergency treatment. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The accompanying drawings, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0019] The accompanying drawings, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0020] Figure 1 is a front view of the medical robot of the present invention; Figure 2 is a top view of the medical robot of the present invention; Figure 3 This is a framework diagram of the application scheme of the medical robot of the present invention in pre-hospital emergency events.

[0021] In the picture: 1. Robot body; 2. Control system; 3. First aid kit; 4. Microphone; 5. Speaker; 6. Battery slot; 7. Camera; 8. Drive wheel. DETAILED DESCRIPTION

[0022] It should be noted that the following detailed descriptions are illustrative and intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present invention belongs.

[0023] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present invention. As used herein, unless otherwise clearly indicated in the present invention, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "include" and / or "comprising" are used in this specification, they indicate the presence of features, steps, operations, devices, components and / or their combinations; Example 1 This embodiment provides a rescue system for pre-hospital emergency treatment, such as Figure 1-Figure 2As shown, it includes: a robot body 1, a control system 2, a remote system and an identification system arranged on the top of the robot body 1; the control system 2 is used to control the flight of the robot and accurately control the flight posture, speed and direction of the robot. The identification system is composed of an information detection and identity recognition module and a sign language interaction system. The information detection and identity recognition module can quickly and accurately determine the patient's identity through face recognition technology, and the sign language interaction system can understand the sign language information of the deaf-mute patient; the remote system is composed of a ground control station, cloud data storage, an autonomous learning module and a difficult case system. The autonomous learning module is connected with the information detection and identity recognition module, the sign language interaction system The interactive system establishes a communication connection. The ground control station is connected to the autonomous learning module to retrieve information output by the autonomous learning module. The ground control station also establishes communication with the cloud data storage and difficult case system to retrieve cloud data and difficult case information. The robot body 1 has a battery compartment 6 in the middle, with first aid kits 3 located on either side. A camera 7 is located below the battery compartment 6. The robot body 1 has drive wheels 8 at the bottom, a microphone 4 located on the top front of the robot body 1, and speakers 5 located on the arms of the robot body 1. The control system 2 is electrically connected to the camera 7, microphone 4, speaker 5, and drive wheels 8. The rescue system can quickly respond to emergency needs, rapidly arriving at the scene through robotic flight, shortening emergency response time. The recognition system quickly and accurately obtains patient identity information and health data, providing important evidence for emergency treatment. The remote system can access cloud data and difficult case plans at any time, improving the accuracy and effectiveness of emergency treatment. The sign language interaction system solves communication problems with disabled patients. The control system 2 realizes precise control of the robot, enabling the robot to work stably in complex environments. At the same time, the camera 7, microphone 4 and speaker 5 are used to remotely control the emergency scene, thereby improving the efficiency and success rate of emergency treatment.

[0024] As a further implementation method, the control system 2 is composed of a flight control system and an electronic control system; the flight control system is composed of a flight sensor, an onboard computer and a servo device. The flight sensor is connected to the onboard computer, which is connected to the servo device, and can perceive the robot's posture, speed, altitude and other information in real time during flight, and transmit this data to the onboard computer. The onboard computer processes and analyzes the data through a control algorithm, and then issues instructions to the servo device. The servo device achieves precise control of the robot's flight posture and trajectory by adjusting the motor and steering gear; the electronic control system is composed of a control sensor, a signal processing circuit, an electronic control unit, an actuator and a self-diagnosis circuit. The control sensor is connected to the electronic control unit through the signal processing circuit, the electronic control unit is connected to and controls the actuator, and the self-diagnosis circuit is connected to the electronic control unit and monitors the working status of the electronic control unit in real time. Once an abnormality is detected, an alarm is immediately issued and corresponding protective measures are taken.

[0025] As a further implementation method, the ground control station is also used to realize flight route planning, information retrieval and issuance, and background flight safety detection; the ground control station is communicated with the onboard computer in the flight control system to realize the transmission of flight route planning instructions and the reception of flight status data.

[0026] As a further implementation, the cloud data storage and autonomous learning module also establishes communication with the flight control system, uploading flight data to the cloud in real time. Based on this accumulated data, the module conducts autonomous learning and calibrates the flight control system 2 to ensure safe and accurate flight. Specifically, the flight control system provides real-time flight data to the cloud data storage, and the autonomous learning module learns and optimizes based on this data. The optimized results are then fed back to the flight control system to calibrate the flight control system. Furthermore, the cloud data storage can collaborate with remote systems, accessing flight data from the cloud data storage for analysis and monitoring. The difficult case system can share medical data resources with the cloud data storage. These components collaborate to enhance the performance and functionality of the entire system.

[0027] As a further implementation method, the search and retrieval module of the difficult case system is used to store remote expert guidance case data for doctors to search and retrieve during the first aid process; the difficult case system establishes a communication connection with the speaker 5 so that simple first aid treatment methods can be delivered to the scene for rescue and medication guidance. Specifically, the difficult case system cooperates with the ground control station to facilitate doctors to search and retrieve data, and cooperates with the speaker 5 to achieve real-time transmission of first aid guidance information. At the same time, the difficult case system can also cooperate with the identification system to automatically screen relevant case data based on the identified patient condition information, and cooperate with cloud data storage to share and update medical data resources, thereby improving the ability of the first aid system to deal with difficult diseases.

[0028] As a further implementation method, the control system 2 is also provided with a positioning module for enabling the robot to realize the function of displaying population density through autonomous learning of data, and to support remote application for adjusting positioning according to population density when the emergency positioning is inaccurate; the positioning module is respectively communicated with the flight control system and the identification system, obtains data through the identification system, and feeds back the positioning adjustment flight data to the control system 2. The positioning module can also cooperate with the ground control station in the remote system. The operator views the positioning information and population density through the ground control station and performs positioning adjustment operations. The various structures cooperate with each other to enhance the positioning and navigation capabilities of the system, so that the robot can quickly find the patient's position in a complex environment and shorten the emergency response time.

[0029] As a further implementation method, the autonomous learning module and recognition accuracy module are equipped with a face detection algorithm developed based on YOLOv3, trained using a wider face dataset, and transmit the obtained data results to a ground control station. They can accurately identify the patient's identity in various complex environments. The ground control station retrieves data from cloud data storage and difficult case systems based on the data results, thereby realizing rapid association and retrieval of patient identity information and medical data, providing doctors with comprehensive patient information, helping to formulate more accurate and effective first aid plans, and improving the success rate of first aid.

[0030] As a further implementation method, the information detection and identity recognition module is communicated with the camera 7 to obtain data from the camera 7 and transmit the facial data to the facial recognition system for identity recognition and information retrieval; when the face is blocked or damaged and affects recognition, data is collected based on the camera 7, and the microphone 4 and speaker 5 on the robot body 1 are activated to inquire about the patient's information; the microphone 4 collects on-site sound information, and the speaker 5 sends an inquiry voice to the patient, such as "Please tell me your name and medical history", etc. Through voice communication with the patient, the patient's identity information and health status are obtained to ensure that the patient's information can be accurately obtained in various situations.

[0031] As a further implementation, the batteries in the battery slot 6 are electrically connected to the control system 2, the identification system, the camera 7, the microphone 4, the speaker 5, and the driving wheel 8 to provide power for them.

[0032] Example 2 This embodiment provides a working method of a rescue system for pre-hospital emergency treatment, such as Figure 3 As shown, the following steps are included: S1. The ground control station receives an emergency call and locks the patient's mobile phone location; S2. The robot control system 2 is activated to determine whether flight conditions are met; if so, the robot arrives at the emergency scene and identifies the patient through the camera 7, the information detection system, and the identification module. The ground control station retrieves the individual's medical records and medical history through the information output by the autonomous learning module and provides feedback to the medical staff; S3. The robot can record the scene in real time through the camera 7 and convey the instructions of medical staff through the speaker 5. The on-site personnel can communicate with the medical staff through the microphone 4 to achieve the function of remote control of the first aid scene; the robot can recognize the sign language information of the disabled through the camera 7 and conduct special communication; the robot is equipped with first aid kits 3 on both sides, which can be remotely controlled by the doctor to automatically discharge first aid medicines, and assist on-site personnel to perform simple first aid operations.

[0033] Although the above describes the specific embodiments of the present invention in conjunction with the accompanying drawings, it is not intended to limit the scope of protection of the present invention. Those skilled in the art should understand that various modifications or variations that can be made by those skilled in the art on the basis of the technical solution of the present invention without any creative work are still within the scope of protection of the present invention.

Claims

1. A medical robot rescue system for pre-hospital emergency care, characterized in that: It includes a robot body, a control system, a remote system and an identification system arranged on the top of the robot body; the control system is used to control the flight of the robot, and the identification system is composed of an information detection and identity recognition module and a sign language interaction system; the remote system is composed of a ground control station, cloud data storage, an autonomous learning module and a difficult case system, the autonomous learning module establishes a communication connection with the information detection system, the identity recognition module and the sign language interaction system, the ground control station is connected to the autonomous learning module, and is used to retrieve information output by the autonomous learning module, and the ground control station also establishes communication with the cloud data storage and the difficult case system respectively, and is used to retrieve cloud data and difficult and miscellaneous disease data; a battery slot is provided in the middle of the robot body, first aid kits are provided on the left and right sides of the battery slot, a camera is provided at the bottom of the battery slot, a drive wheel is provided at the bottom of the robot body, a microphone is provided on the front of the top of the robot body, and a speaker is provided on the arm of the robot body; the control system is electrically connected to the camera, microphone, speaker and drive wheel respectively.

2. A rescue system for the medical robot according to claim 1, characterized in that: The control system consists of a flight control system and an electronic control system; the flight control system consists of a flight sensor, an onboard computer and a servo device, the flight sensor is connected to the onboard computer, and the onboard computer is connected to the servo device; the electronic control system consists of a control sensor, a signal processing circuit, an electronic control unit, an actuator and a self-diagnosis circuit, the control sensor is connected to the electronic control unit through the signal processing circuit, the electronic control unit is connected to and controls the actuator, and the self-diagnosis circuit is connected to the electronic control unit and monitors the electronic control unit in real time.

3. A rescue system for pre-hospital emergency care according to claim 1, characterized in that: The ground control station is also used to implement flight route planning, information retrieval and issuance, and background flight safety testing; the ground control station is communicated with the onboard computer in the flight control system to realize the transmission of flight route planning instructions and the reception of flight status data.

4. A rescue system for pre-hospital emergency care according to claim 1, characterized in that: The cloud data storage and autonomous learning module also establishes communication with the flight control system, uploads flight data to the cloud in real time, and conducts autonomous learning based on the accumulation of big data to calibrate the flight control system to ensure safe and accurate navigation.

5. The rescue system for pre-hospital emergency care according to claim 1, characterized in that: The search and retrieval module of the difficult case system is used to store remote expert guidance case data for doctors to search and retrieve during the first aid process; the difficult case system establishes a communication connection with the speaker so that simple first aid treatment methods can be delivered to the scene for rescue and medication guidance.

6. A rescue system for pre-hospital emergency care according to claim 3, characterized in that: The control system is also provided with a positioning module for enabling the robot to realize the function of displaying population density through autonomous learning of data, and supporting remote application for adjusting positioning according to population density when emergency positioning is inaccurate; the positioning module is respectively communicated with the flight control system and the identification system, obtains data through the identification system, and feeds back the positioning adjustment flight data to the control system.

7. A rescue system for pre-hospital emergency care according to claim 1, characterized in that: The autonomous learning module and recognition accuracy module are equipped with a face detection algorithm developed based on YOLOv3, and are trained using a wider face dataset. The obtained data results are transmitted to a ground control station, which then retrieves data from the cloud data storage and the difficult case system based on the data results.

8. A rescue system for pre-hospital emergency care as claimed in claim 3, characterized in that: The information detection and identity recognition module is connected to the camera for obtaining camera data and transmitting the facial data to the face recognition system for identity recognition and information retrieval; When the face is blocked or damaged, which affects recognition, the robot collects data based on the camera and activates the microphone and speaker on the robot's body to inquire about the patient's information.

9. A rescue system for pre-hospital emergency care as claimed in claim 3, characterized in that: The batteries in the battery slots are electrically connected to the control system, identification system, camera, microphone, speaker, and drive wheel to provide power for them.

10. A working method for a pre-hospital emergency rescue system according to any one of claims 2 to 9, characterized in that: The following steps are involved: S1. The ground control station receives an emergency call and locks the patient's mobile phone location; S2. The robot's control system is activated to determine whether flight conditions are met. If so, the robot arrives at the emergency scene and identifies the patient using its camera, information detection system, and identification module. The ground control station retrieves the patient's medical records and medical history using information output by the autonomous learning module and provides feedback to medical staff. S3. The robot can record the scene in real time through the camera and convey the instructions of medical staff through the speaker. The on-site personnel can communicate with the medical staff through the microphone to achieve the function of remote control of the emergency scene; the robot can recognize the sign language information of the disabled through the camera and conduct special communication; the robot is equipped with first aid kits on both sides, which can be remotely controlled by the doctor to automatically discharge first aid medicines, and assist on-site personnel to perform simple first aid operations.

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