Abstract

In this paper, fuzzy set theory and multi-sensor data fusion technology are combined and applied in the safety monitoring of the storage environment, this paper establishes the sensor information fusion model and colligate incomplete information collected by multiple sensors, and eliminating the possible redundant and contradictory information among the multi sensor. After the analysis and process of the two level fusion model, the accurate estimation of the safe condition of the storage environment can be obtained. Finally, the method, which can effectively improve the reliability of the safe condition of the storage environment, is verified by an example.

Highlights

  • As a key part of the logistics system, storage plays an important role in the process of transferring, storing and keeping the goods

  • This paper combines the key parameters of the storage environment and introduces the fuzzy data fusion technology into the storage safety monitoring system, through the real-time monitoring of storage environment, this paper apply multiple sensors to collect the environmental parameters and combines with fuzzy information processing technology to carry out the data fusion with the collected environmental information, the paper can obtain the accurately monitoring information of storage environment and make timely and correct decisions, so that the monitoring environment of the storage is in a stable state

  • The computer center regulates the environment equipment to enable each environment parameter values to keep within the normal range ; on the contrary, it is necessary to make further second level information fusion, local decision results sent to the fusion center of multi-sensor data fusion based on fuzzy, the result of the global decision is obtained by the fusion calculation

Read more

Summary

Introduction

As a key part of the logistics system, storage plays an important role in the process of transferring, storing and keeping the goods. The environmental monitoring of storage mainly refers to the monitoring and management of the storage goods and is an important link in the supply chain. This paper combines the key parameters of the storage environment and introduces the fuzzy data fusion technology into the storage safety monitoring system, through the real-time monitoring of storage environment, this paper apply multiple sensors to collect the environmental parameters and combines with fuzzy information processing technology to carry out the data fusion with the collected environmental information, the paper can obtain the accurately monitoring information of storage environment and make timely and correct decisions, so that the monitoring environment of the storage is in a stable state

Multi-sensor Fuzzy Data Fusion Theory
Structure of Multi-sensor Data Fusion System
First Level Preprocessing Based on Adaptive Weighted Fusion Algorithm
The adjustment of the weighted dynamic factor
Decision Level Information Fusion Based on Fuzzy Theory
Case Analysis
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.