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.

Pending Publication Date: 2020-01-14
SHANDONG UNIV OF SCI & TECH
View PDF3 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Its shortcoming is that the initial reception signal is not optimized and

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Internet-of-Things emergency service platform and early warning method thereof
  • Internet-of-Things emergency service platform and early warning method thereof
  • Internet-of-Things emergency service platform and early warning method thereof

Examples

Experimental program
Comparison scheme
Effect test

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;

...

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...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention belongs to the field of public health data management systems, and particularly relates to an Internet-of-Things emergency service platform and an early warning method thereof. The emergency monitoring based on fog cloud computing and a disease prediction model based on big data analysis obtain more rescue time than a traditional emergency processing method, and can accurately predict the morbidity possibility of diseases. Personal daily health information is captured on the basis of a sensor, emergency situations are monitored on the basis of fog computing and mobile applications, and disease prediction is carried out on the basis of cloud computing and big data analysis. Through comparison of test results, it is proved that the provided emergency monitoring and big data analysis-based disease prediction model based on fog cloud computing obtains more rescue time than a traditional emergency processing method, and can accurately predict the morbidity possibility of diseases.

Description

technical field [0001] The invention belongs to the field of public health data management systems, and in particular relates to an Internet of Things emergency service platform and an early warning method. Background technique [0002] With the rapid development of modern high-tech and the transformation of people's awareness of healthy life, the demand for personal healthcare services is gradually increasing. The rapid development of information communication technology and medical biotechnology has not only improved the level of personal health care services, but also brought human beings into the era of longevity. In order to provide personal medical services, fog and cloud computing provide effective solutions for ubiquitous health information delivery, and the health big data analysis model can provide daily personal health status analysis reports. [0003] However, deaths from injuries and sudden illness often cause great distress to families. There is no effective ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G16H10/60G16H50/20G06Q50/26H04L29/08
CPCG16H10/60G16H50/20G06Q50/265H04L67/12
Inventor 文龙日李占翠刘琛贾全秋
Owner SHANDONG UNIV OF SCI & TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap