An Indoor Multi-Environment Sensor System Based on Intelligent Edge Computing

Monitoring and predicting the environment in an indoor space plays important role securing big data detecting abnormal conditions industrial living space. This study proposes multi-environment sensor system based on intelligent edge computing that collects predicts environmental data. The using 14 types of sensors object detection technology models implements a model air quality bi-directional LSTM network. trained shows high performance (IAQ) factors, such as CO2, PM2.5, total volatile organic compounds (TVOC). is available for collection prediction various spaces without restrictions specific locations. integrated approach with functions by applying to monitoring. We verify proposed through experiments.