Emergency rescue system based on Internet of Things

Abstract

The invention discloses an emergency rescue system based on the Internet of Things. The emergency rescue system comprises an intelligent wearable device, an abnormity monitoring unit, a positioning unit, a help calling unit, a data transmission unit, an emergency machine unit, a hospital HIS system docking unit and a cloud storage unit. According to the invention, information islands among links of traditional emergency treatment are broken, technologies of Internet of Things, cloud computing, medical data processing and the like are integrated, a whole-process intelligent solution is provided for community emergency treatment, the success rate of emergency treatment is obviously improved, and the life safety of residents is guaranteed. And meanwhile, a volunteer network subjected to training authentication is established, so that the technical effect of timely auxiliary treatment of nearby volunteer terminal personnel is realized under the condition that a hospital HIS (Hospital Information System) is relatively far or distress signals are not fed back in time.

Description

Technical Field

[0001] The present invention belongs to the field of safety rescue systems, and more specifically, relates to an Internet of Things-based emergency rescue system. Background Art

[0002] In view of the problem of delayed rescue faced by vulnerable groups such as the elderly and children living alone in the community when they encounter sudden health crises. In the existing technology, there is a lack of effective supervision of multiple parameter data of users' health and an effective solution to the problem of delayed rescue. Summary of the Invention

[0003] In view of the problems in the existing emergency rescue system, such as the lack of effective supervision of multiple parameter data of users' health and the problem of delayed rescue, the present invention provides an Internet of Things-based emergency rescue system.

[0004] To achieve the above technical objectives, the technical solution adopted by the present invention is as follows:

[0005] An Internet of Things-based emergency rescue system includes a smart wearable device, an abnormal monitoring unit, a positioning unit, a calling unit, a data transmission unit, an emergency ambulance unit, a hospital HIS system docking unit, and a cloud storage unit;

[0006] The smart wearable device is communicatively connected to the cloud storage unit, and is used for collecting multiple parameter data of the user's health and uploading them to the cloud storage unit;

[0007] The abnormal monitoring unit is communicatively connected to the cloud storage unit, and is used for monitoring the parameter data of the user's health. When any one of the parameter data of the user's health exceeds the abnormal range, an abnormal signal is sent to the calling unit;

[0008] The positioning unit is communicatively connected to the abnormal monitoring unit, and is used for positioning the location data of the user whose current parameter data of health exceeds the abnormal range;

[0009] The calling unit is communicatively connected to the abnormal monitoring unit, and is used for sending a distress signal to the HIS system of the nearest hospital according to the received abnormal signal and the user location data, and at the same time sending a distress signal to the nearest volunteer terminal with training and certification;

[0010] The data transmission unit is used for radiating the HIS system of the hospital and the volunteer terminal one by one in a directional and nearest manner according to the user location data until a rescue signal is fed back by the HIS system of the hospital and the volunteer terminal;

[0011] The emergency ambulance unit is used for further confirming and detecting the items in the multiple parameter data of the user's health that exceed the abnormal range, and at the same time sending the detection result to the HIS system of the hospital. The hospital doctor issues the process of advance registration and emergency treatment on the vehicle in advance through the HIS system of the hospital to the emergency ambulance unit;

[0012] The hospital HIS system docking unit enables hospital doctors to send the processes of advance registration and emergency treatment on the in-vehicle computer in advance to the emergency vehicle computer unit through the hospital HIS system;

[0013] The cloud storage unit is used to store multiple parameter data of the user's health, abnormal signals, user location data, and data related to the emergency treatment process on the vehicle computer.

[0014] Furthermore, the cloud storage unit is also equipped with an intelligent wearable device anomaly detection unit, which is used to detect and troubleshoot abnormal signals generated by the intelligent wearable device itself, resulting in the situation of multiple parameter data of the user's health.

[0015] Furthermore, the detailed detection process of the intelligent wearable device anomaly detection unit for abnormal signals generated by the intelligent wearable device itself:

[0016] Based on the parameter data signal of the user's health feedback by the anomaly monitoring unit, determine whether the user of the intelligent wearable device has the behavior of actively turning off the abnormal signal transmission;

[0017] If so, it is determined that the intelligent wearable device is abnormal or other interferences cause the abnormal parameter data of the user's health;

[0018] If not, further determine whether the parameter data signal of the user's health is zero. If all items of the parameter data signal of the user's health are zero, it is determined that the intelligent wearable device is faulty. If some items of the parameter data signal of the user's health are zero, it is determined that the corresponding acquisition line of some items of the intelligent wearable device is faulty.

[0019] Furthermore, when storing in the cloud storage unit, if all or some items of the parameter data signal of the user's health are zero, the current parameter data signal of the user's health is replaced by the mean value for the zero items.

[0020] Furthermore, the detailed process of the anomaly monitoring unit monitoring the parameter data of the user's health:

[0021] Based on the user's historical medical record inspection data recorded by the hospital HIS system, analyze the medical record type and the data items with abnormal multiple parameter data of the user's health;

[0022] When the value of the data item with abnormal multiple parameter data of the user's health exceeds the mean range preset by the hospital HIS system, an abnormal signal is sent to the calling unit.

[0023] Furthermore, the sending and stopping of the distress signal of the calling unit:

[0024] When the anomaly monitoring unit receives an abnormal signal, it activates the positioning unit to query hospitals and volunteer terminals one by one in the radiation range;

[0025] When the hospital HIS system of the hospital gives feedback on the implementation of rescue or the volunteer terminal gives feedback on the implementation of rescue, stop sending the rescue signal and wait for treatment by medical staff and personnel at the volunteer terminal.

[0026] Compared with the prior art, the present invention has the following beneficial effects:

[0027] It breaks the information silos among the various links of traditional first aid, integrates technologies such as the Internet of Things, cloud computing, and medical data processing, provides an intelligent solution for the whole process of community first aid, significantly improves the success rate of first aid, and ensures the safety of residents' lives. It constructs a "get in the vehicle and be admitted to the hospital" treatment mode, and the patient's vital signs are transmitted to the hospital in real time for remote consultation and guidance by experts.

[0028] At the same time, by establishing a network of trained and certified volunteers, when the hospital HIS system is far away or the distress signal feedback is not timely, the technical effect of timely auxiliary treatment by personnel at the nearby volunteer terminal is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 It is the overall structural block diagram of an Internet of Things-based emergency rescue system in an embodiment of the present invention.

[0030] Explanation of the marks in the figure: 10 - intelligent wearable device, 20 - abnormal monitoring unit, 30 - positioning unit, 40 - calling unit, 50 - data transmission unit, 60 - emergency vehicle unit, 70 - hospital HIS system docking unit, 80 - cloud storage unit. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0031] For the convenience of understanding by those skilled in the art, the present invention will be further described below in conjunction with the embodiments and the drawings. The content mentioned in the embodiments does not limit the present invention.

[0032] As Figure 1 shown, this embodiment provides an Internet of Things-based emergency rescue system, including an intelligent wearable device 10, an abnormal monitoring unit 20, a positioning unit 30, a calling unit 40, a data transmission unit 50, an emergency vehicle unit 60, a hospital HIS system docking unit 70, and a cloud storage unit 80;

[0033] The intelligent wearable device 10 is communicatively connected to the cloud storage unit 80, and is used for collecting a plurality of parameter data of the user's health and uploading them to the cloud storage unit 80;

[0034] The abnormal monitoring unit 20 is communicatively connected to the cloud storage unit 80, and is used for monitoring the parameter data of the user's health. When any one of the parameter data of the user's health exceeds the abnormal range, an abnormal signal is sent to the calling unit 40;

[0035] The positioning unit 30 is communicatively connected to the anomaly monitoring unit 20 and is used to locate the user location data where the current healthy parameter data exceeds the abnormal range;

[0036] The emergency call unit 40 is communicatively connected to the anomaly monitoring unit 20 and is used to send a distress signal to the HIS system of the nearest hospital according to the received anomaly signal and user location data, and at the same time send a distress signal to the nearest volunteer terminal that has been trained and certified;

[0037] The data transmission unit 50 is used to radiate the HIS system of the hospital and the volunteer terminal one by one in the direction of the user location data until a rescue signal is fed back by the HIS system of the hospital and the volunteer terminal;

[0038] The emergency ambulance unit 60 is used to further confirm and detect the items that exceed the abnormal range among the multiple parameter data of the user's health, and at the same time send the detection result to the HIS system of the hospital. The hospital doctor issues the process of early registration and emergency treatment on the vehicle through the HIS system of the hospital to the emergency ambulance unit 60;

[0039] The HIS system docking unit 70 of the hospital. The hospital doctor issues the process of early registration and emergency treatment on the vehicle through the HIS system of the hospital to the emergency ambulance unit 60;

[0040] The cloud storage unit 80 is used to store the multiple parameter data of the user's health, anomaly signals, user location data, and data related to the emergency treatment process on the vehicle;

[0041] The cloud storage unit 80 is also provided with an anomaly detection unit for the smart wearable device 10, which is used to detect and troubleshoot the situation where the smart wearable device 10 itself generates an anomaly signal, resulting in multiple parameter data of the user's health;

[0042] The detailed detection process of the anomaly detection unit for the smart wearable device 10 to detect the anomaly signal generated by the smart wearable device 10 itself:

[0043] According to the parameter data signal of the user's health fed back by the anomaly monitoring unit 20, determine whether the user of the smart wearable device 10 has an active behavior of turning off the anomaly signal;

[0044] If so, it is determined that the smart wearable device 10 is abnormal or other interferences cause the parameter data of the user's health to be abnormal;

[0045] If not, further determine whether the parameter data signal of the user's health is zero. If all items of the parameter data signal of the user's health are zero, it is determined that the smart wearable device 10 is faulty. If some items of the parameter data signal of the user's health are zero, it is determined that the acquisition line corresponding to some items of the smart wearable device 10 is faulty.

[0046] When the input cloud storage unit 80 stores data, if all or some of the parameter data signals of the user's health are zero, the current parameter data signal of the user's health is replaced by the mean value for the zero items.

[0047] The detailed process of the abnormal monitoring unit 20 monitoring the parameter data of the user's health:

[0048] According to the user's historical medical record examination data recorded in the hospital HIS system, analyze the medical record type and the data items where multiple parameter data of the user's health are abnormal;

[0049] When the value of the data item where multiple parameter data of the user's health are abnormal exceeds the mean value range preset by the hospital HIS system, an abnormal signal is sent to the emergency call unit 40.

[0050] The sending and stopping of the distress signal by the emergency call unit 40:

[0051] When the abnormal monitoring unit 20 receives the abnormal signal, the positioning unit 30 is activated to query the hospitals and volunteer terminals one by one by radiation;

[0052] When the hospital HIS system of the hospital has feedback on implementing rescue or the volunteer terminal gives feedback on implementing rescue, the continuous sending of the rescue signal is stopped, and waiting for medical staff and volunteer terminal personnel to treat.

[0053] Compared with the prior art, the present invention has the following beneficial effects:

[0054] It breaks the information silos among the traditional first aid links, integrates technologies such as the Internet of Things, cloud computing, and medical data processing, provides an intelligent solution for the whole process of community first aid, significantly improves the success rate of first aid, and ensures the safety of residents' lives. It constructs a "get in the car and go to the hospital" treatment mode, and the patient's vital signs are transmitted to the hospital in real time for remote expert consultation and guidance.

[0055] At the same time, by establishing a network of trained and certified volunteers, when the hospital HIS system is far away or the distress signal feedback is not timely, the technical effect of timely auxiliary treatment by the nearest volunteer terminal personnel can be achieved.

[0056] The above provides a detailed introduction to an Internet of Things-based emergency rescue system provided by the present application. The description of the specific embodiments is only used to help understand the method and its core idea of the present application. It should be noted that for those of ordinary skill in the art of this technology, without departing from the principle of the present application, several improvements and modifications can be made to the present application, and these improvements and modifications also fall within the protection scope of the claims of the present application.

Claims

1. An Internet of Things-based emergency rescue system, characterized in that, It includes a smart wearable device (10), an abnormal monitoring unit (20), a positioning unit (30), a calling unit (40), a data transmission unit (50), an emergency vehicle unit (60), a hospital HIS system docking unit (70), and a cloud storage unit (80); The smart wearable device (10) is communicatively connected to the cloud storage unit (80), and is used for collecting multiple parameter data of the user's health and uploading them to the cloud storage unit (80); The abnormal monitoring unit (20) is communicatively connected to the cloud storage unit (80), and is used for monitoring the parameter data of the user's health. When any one of the parameter data of the user's health exceeds the abnormal range, it sends an abnormal signal to the calling unit (40); The positioning unit (30) is communicatively connected to the abnormal monitoring unit (20), and is used for positioning the user location data when the current parameter data of the health exceeds the abnormal range; The calling unit (40) is communicatively connected to the abnormal monitoring unit (20), and is used for sending a distress signal to the HIS system of the nearest hospital according to the received abnormal signal and user location data, and at the same time sending a distress signal to the nearest volunteer terminal with training certification; The data transmission unit (50) is used for radiating the HIS system of the hospital and the volunteer terminal one by one in a targeted manner according to the user location data until a rescue signal is fed back by the HIS system of the hospital and the volunteer terminal; The emergency vehicle unit (60) is used for further confirming and detecting the items that exceed the abnormal range among the multiple parameter data of the user's health, and at the same time sending the detection results to the HIS system of the hospital. The hospital doctor issues the process of early registration and early emergency treatment on the vehicle machine to the emergency vehicle unit (60) through the HIS system of the hospital; The hospital HIS system docking unit (70), the hospital doctor issues the process of early registration and early emergency treatment on the vehicle machine to the emergency vehicle unit (60) through the HIS system of the hospital; The cloud storage unit (80) is used for storing the multiple parameter data of the user's health, abnormal signals, user location data, and data related to the emergency treatment process on the vehicle machine.

2. The Internet of Things-based emergency rescue system according to claim 1, wherein The cloud storage unit (80) is also provided with an abnormal detection unit for the smart wearable device (10), which is used for detecting and troubleshooting the situation where the smart wearable device (10) itself generates abnormal signals, resulting in multiple parameter data of the user's health.

3. The Internet of Things-based emergency rescue system according to claim 2, wherein, The detailed detection process of the abnormal detection unit of the smart wearable device (10) for the smart wearable device (10) itself generating abnormal signals: According to the parameter data signal of the user's health feedback by the abnormal monitoring unit (20), judge whether the user of the smart wearable device (10) has the behavior of actively closing the abnormal signal sending; If so, it is determined that the smart wearable device (10) is abnormal or other interferences cause the parameter data of the user's health to be abnormal; If not, further judge whether the parameter data signal of the user's health is zero. If all items of the parameter data signal of the user's health are zero, it is determined that the smart wearable device (10) is faulty. If some items of the parameter data signal of the user's health are zero, it is determined that the corresponding acquisition line of some items of the smart wearable device (10) is faulty.

4. The IoT-based emergency rescue system according to claim 3, characterized in that, When storing in the cloud storage unit (80), if all or some of the parameter data signals of the user's health are zero, the zero items of the parameter data signal of the current user's health are replaced by the mean value.

5. The Internet of Things-based emergency rescue system according to claim 4, characterized in that Detailed process of the abnormal monitoring unit (20) monitoring the parameter data of the user's health: Based on the historical medical record examination data of the user recorded in the hospital HIS system, analyze the medical record type and the data items with abnormal multiple parameter data of the user's health; When the value of the data item with abnormal multiple parameter data of the user's health exceeds the mean value range preset by the hospital HIS system, send an abnormal signal to the distress call unit (40).

6. The IoT-based emergency rescue system according to claim 5, characterized in that, Sending and stopping of the distress call signal by the distress call unit (40): When the abnormal monitoring unit (20) receives the abnormal signal, start the positioning unit (30) to query the hospital and the volunteer terminal one by one for radiation; When the hospital HIS system of the hospital has a feedback for implementing rescue or the volunteer terminal gives a feedback for implementing rescue, stop sending the rescue signal continuously and wait for treatment by medical staff and personnel of the volunteer terminal.

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