Research on Warehouse Safety Warning System Based on Multi-Sensor Fusion

Liang Hou; Guang Yu Li

doi:10.4028/www.scientific.net/AMM.556-562.5640

Paper Titles

Design and Research on Smartphone Interaction Interface with the Center of User’s Emotional Experience
p.5623

Application of Digital Technology in Heritage Protection in Urbanization
p.5628

Software Development and Application Research Based on Android Operating System
p.5632

Design and Realization of Large File Asynchronous Upload and Broken-Point Continuingly-Transferring Based on ASP.NET MVC
p.5636

Research on Warehouse Safety Warning System Based on Multi-Sensor Fusion
p.5640

The Security Analysis of Forward-Secure Group Blind Signature Scheme Based on the Chinese Remainder Theorem
p.5644

System Simulation Analysis of Network Optimization Algorithm Based on Web Technology
p.5648

Study on Simulation Model of Network Control System Based on Dynamic DMC Matrix
p.5652

Dynamic Simulation of Low-Carbon Path Optimization Based on Ad Hoc Network
p.5656

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 556-562Research on Warehouse Safety Warning System Based...

Research on Warehouse Safety Warning System Based on Multi-Sensor Fusion

Abstract:

This paper proposed warehouse safety warning system design and implementation method based on multi-sensor fusion: by collecting monitoring the scene temperature, smoke, infrared and video signal and fusion algorithm for decision-making, greatly reducing false positives and false negative rate of the system, increasing the reliability of the system; using two wireless communication networks, increasing the system suitability and scope of monitoring; using modular design approach, increasing the flexibility and scalability of the system. The results show that the use of security warning systems can use the limited funds to address storage warehouse security risks in the complex security environment, improve the efficiency of storage and security management of funds, save manpower, material and financial resources, and reduce storage costs.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 556-562)

Pages:

5640-5643

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.556-562.5640

Citation:

Cite this paper

Online since:

May 2014

Authors:

Liang Hou*, Guang Yu Li

Keywords:

Infrared Monitoring, Smoke Detector, Temperature Monitoring, Wireless Communication

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Z. Liu, J. Makar, A. KKim: Development of Fire Detection Systems in the Intelligent Building, 12th International Conference on Automatic Fire Detection, National Institute of Standards and Technology, Gaithersburg, Maryland U.S.A. (2009).

Google Scholar

[2] Y. Gong, G. Proietti, C. Faloutsos: Image indexing and retrieval based on human perceptual co- lor clustering,. Computer Vision and Pattern Recognition Proceedings of IEEE Computer Soci-ey Conference (1998).

DOI: 10.1109/cvpr.1998.698664

Google Scholar

[3] Shuenn-Jyi Wand, Dah-Lih Jeng, Meng-Tsai: Early fire detection method in video for Vessels, Journal of Systems and Software (2009).

Google Scholar

[4] Q. Jun, D. Gong: The auto-fire-detection and auto-putting out system. Proceedings of the 3rd World Congress on Intelligent Control and Automation (2000).

DOI: 10.1109/wcica.2000.863241

Google Scholar

[5] Bo Zhang, Yuhong LIU: Design of wireless infrared forest fire prevention system based on ZigBee and GPRS. Computer Knowledge and Technology (2010).

Google Scholar