常州江苏大学工程技术研究院
Changzhou Engineering and Technology Institute of Jiangsu University
Welcome to Changzhou Engineering and Technology Institute of Jiangsu University!
Brief Introduction of Project Results
The existing wireless sensor abnormal event detection technology mainly sets the decision threshold for a single observation attribute or detects abnormal events according to the changing trend, which is not scalable in the event detection application involving multiple types of sensors. In addition, although the existing algorithms can detect abnormal events, they cannot provide effective explanations for the causes of the events, abnormal features, and the correlation between features, so it is difficult for decision-makers to use them directly.
In view of the above shortcomings, WSN abnormal event detection algorithm based on multi-attribute association and abnormal event interpretation algorithm based on association subspace are proposed, and the prototype system of abnormal event detection and interpretation in wireless sensor networks is implemented. The main innovations are as follows:
(1) An abnormal event detection algorithm based on multi-attribute association is proposed.
(2) An abnormal event interpretation algorithm based on association subspace is proposed.
(3) A prototype system for abnormal event detection and interpretation of wireless sensor networks is designed and implemented.
The following is a test example of an IOT application.
Performance Indicators
1. Abnormal event detection based on multi-attribute association
2. Description of abnormal events based on the associated subspace
Scope of Application and Market Prospects
It is suitable for abnormal detection, abnormal warning, abnormal event discovery and reminder, and abnormal event interpretation in the application scenario of Internet of Things technology.
With the development and application of the Internet of Things technology, this technology can greatly improve the reliability and security of the Internet of Things application, and provide help for the analysis of abnormal events.
Investment Estimates
The project can be built on existing IOT application platforms and cloud platforms. If it is a separate application, in the case that the existing network platform and database platform have been built, the general application scenario is expected to require an additional investment of 200,000 yuan. Cloud platform background service is estimated to invest 500,000 yuan.
Means of Cooperation
Technology transfer or joint development.
Address: Fifth Floor, Block C of Tianrun Technology Building, No. 801 Changwuzhonglu, Wujin District, Changzhou, Jiangsu Province, China
Cell: 13813651639(Mrs Shi)
Email: 1320084251@qq.com
Web: www.czujs.cn