Open AccessSafety Monitoring and Evaluation of Construction Projects Based on Multi-sensor Fusion
Author(s) -
i
Publication year - 2020
Publication title -
instrumentation, mesure, métrologie/instrumentation mesure métrologie
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.161
H-Index - 4
eISSN - 2269-8485
pISSN - 1631-4670
DOI - 10.18280/i2m.190604
Subject(s) - wireless sensor network , safety monitoring , sensor fusion , real time computing , data mining , computer science , data collection , engineering , systems engineering , computer network , artificial intelligence , statistics , microbiology and biotechnology , mathematics , biology
For most construction projects, the complex engineering environment, the backward data collection technology, and the unreasonable monitoring network have resulted in many problems in monitoring data such as lots of noise and missing data items, therefore, it is of great significance to study the safety monitoring system of construction projects based on wireless sensor network (WSN). For this reason, this paper proposed a construction safety monitoring and evaluation (CSME) model based on multi-sensor fusion. First, the system structure and data flow model of the construction safety monitoring system were constructed; then, combining with a multi-sensor deep fusion system which was built on physical and information systems, this paper designed a spectrum sensing algorithm for sensor signals within the construction area. After that, tempo-spatial correlation analysis was conducted on the monitoring data, and a multi-sensor monitoring network joint sparse (MSMN-JS) model was constructed, which realized reconstruction of missing data items. At last, this paper used experimental results to prove the application value of the algorithm model to the safety monitoring and evaluation of construction projects.