| In recent years, home electrical fires occur frequently, people’s lives and property suffered huge losses. This paper puts the internet of things technologies as the basis of research, and treats Smart Home Monitoring system architecture design as a starting point. Researching on electricity generic technology that users and managers monitor and control the indoor environment through the Internet. Accomplished the design of electrical identification module and arc detection module. Successfully accomplished the Indoor Electrical Safety Intelligent Monitoring System based on the internet of things technologies.This paper analyzes the main electrical fire from two aspects: illegal use of electrical appliances and the appearance of arc fault.According to these two reasons, We will describe and analyze domestic and international some excellent solutions and results, for example,arc fault circuit breaker device(AFCI), arc detection system, arc mathematical model, wavelet transform analysis, pattern recognition, illegal electrical power analysis, multi-information fusion. And combined with the current situation,successfully accomplished pattern recognition based on subspace identification algorithm and electrical arc fault detection algorithm based on multi-information fusion technology.This paper carefully studies current characteristics of various types of household appliances when an arc occurs or not, and provide a plan-Indoor Electrical Safety Intelligent Monitoring System Based on the Internet of things technologies. The plan use a wireless sensor network, micro embedded systems, WEB monitoring platform software technology,improve the system’s real-time, intelligent, reliability. First, the system uses the spread of Hall current sensors to gather real-time current of each grid detection point. Second, the sensors transmit sensory information to the sensor network gateway through WIFI. Finally, the perception of information is passed to the server through the Internet.Server manage illegal electrical and fault arc in grids by use of malignant load recognition algorithm and arc fault detection algorithm. Server is built with today’s most popular B/S structure, and use MYSQL database to store data. This design improves the efficiency and accuracy of the system. By use of WEB technology,management information is presented real-timely on the user’s browser.Currently, in our production and life,the practical application of electrical safety system are not many. For the only systems, there are randomness, occasionality, bad real-time, high misjudge rate. Products used in illegal electrical and arc fault detection are less. The system effectively solves the above problems and to achieve the desired results through experiments and tests. Study of the system is important for the intelligent management of electrical safety and the promotion Internet of Things technologies. |