Internet-of-Things emergency service platform and early warning method thereof
A service platform, the technology of the Internet of Things, applied in the field of the Internet of Things emergency service platform and early warning field, can solve the problems of endangering the health of patients and untimely response.
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Embodiment 1
[0034] Such as Figure 1-3 As shown, an Internet of Things emergency service platform is characterized in that: an Internet of Things emergency service platform includes a sensor layer connected to the network, a fog computing module, a core network, a cloud computing module, and a mobile edge computing module, wherein,
[0035] The fog computing module includes a receiving unit, a system management unit and an output unit. The receiving unit receives data information from the sensor layer, and the system management unit analyzes to determine whether the data information is urgent, and sends the urgent data information to the mobile edge computing module through the output unit. Upload non-urgent data to the core network;
[0036] Cloud computing module, including personal health record management system, big data analysis platform, health management file system, emergency analysis service unit and disease prediction service unit, personal health record management system accep...
Embodiment 2
[0045] An early warning method based on the Internet of Things emergency service platform according to the above-mentioned service platform, comprising:
[0046] Step 1. Use manual input, automatic reading of health information by sensors, electronic medical record scanning or machine learning to input data information, and establish a large database. The large database includes at least safety data, emergency threshold data and standard values of disease influencing factors;
[0047] Step 2, the system management unit of the fog computing module analyzes the input data, judges whether the data information is urgent, sends the urgent data information to the mobile edge computing module through the output unit in a low-latency manner, and uploads the non-urgent data to the core network;
[0048] Step 3, the mobile edge computing module distributes urgent data information to medical institutions, health management centers, medical staff, patient family members and patients;
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Embodiment 3
[0055] The following is a comparative analysis of actual cases:
[0056] When the moving distance is 5 kilometers, the comparison of the time spent by the traditional first aid and the proposed first aid method in the rescue process of patients with sudden cardiovascular disease
[0057] (1) When an emergency is found:
[0058] In the traditional emergency rescue model, someone finds out and contacts the emergency center. In the passive discovery process, it is generally greater than or equal to about 1 minute. The status of the emergency is unknown. For example, injury emergencies, emergencies caused by diseases, etc.
[0059] In the emergency rescue mode invented, the heart pulse test sensor and software that comes with the mobile communication device judge the emergency and transmit the relevant data to the fog layer (connecting sensors or devices that receive data at the edge of the mobile communication device) for service. Tier acts as a gateway service with very litt...
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