The smart electricity safety management cloud platform uses the Internet of Things technology to install electrical fire detectors at the customer’s power distribution cabinets or key power-using units, and conduct 24-hour online real-time monitoring of important parameters such as line leakage, temperature, fault arc, voltage, and current. , The data information is transmitted to the cloud server through the NB-IoT Internet of Things or 4G network. The system continuously tracks and analyzes the data, and finds hidden safety hazards in electrical circuits and electrical equipment. It can display the alarm information of the electricity safety smart sensor terminal in real time, including the alarm location, type, occurrence time, etc. If there is an abnormality, the alarm will be sent through APP, SMS, etc., and the person in charge of the enterprise, electrician and safety management personnel can learn about electricity through mobile phones. Line working status.
The smart electricity safety management cloud platform provides users with a new management model. Construct a new electrical fire monitoring network through wireless Internet of Things technology to realize remote monitoring, rapid positioning, mobile dispatch, inspection and maintenance and other functions to ensure the safety of electricity use. Combining advanced technologies and mathematical models such as cloud computing, big data analysis, intelligent retrieval, and digital maps, the key elements of "personnel, equipment, hidden dangers, and maintenance" are integrated into one, eliminating information islands and improving management efficiency.
● Complete functions: meet the requirements of electrical monitoring and fire monitoring, reduce user investment and operating costs
● Advanced architecture: support B/S architecture, taking into account real-time communication, system deployment, and flexible display
● Smart IoT: realize the IoT of multiple types of equipment, support multiple communication protocols, various types of meters and equipment, and support third-party system access
● Large database: Adopt advanced and reliable real-time database, powerful relational database and big data warehouse processing technology to ensure real-time transmission, fast query and massive storage of historical data
