The Application of Multisensor Information Fusion Technology in Environmental Restoration

Multisensor information fusion technology is an advanced processing method that different from classical data technology. Capability and operational accuracy, in order to make effective comprehensive evaluation of environmental quality, the monitoring system built by NB-IoT sensor used conduct multisensor research on collected factors such as temperature, humidity, formaldehyde, PM2.5, TVOC. At same time, two-level parallel adopted evaluate quality. Before fusion, median filtering eliminate abnormal data. Then, Kalman filter algorithm fuse multiple sets similar sensors obtain best value it. Finally, fuzzy types at decision-making level, which weight determined entropy membership function Gaussian. The environment scenarios are tested using above algorithms, simulation results show can more abundant information, overcome simplicity limitation single-factor for quality assessment, improve reliability accuracy overall assessment.