Internet of Things real-time data remote monitoring system based on Wi-Fi technology

Wi-Fi is a popular wireless local area network technology, which has the characteristics of convenient networking and easy expansion. The existing data remote monitoring system mainly uses ZigBee technology to transmit monitoring data, and the response of the monitoring system takes a long time. Therefore, this paper proposes a remote monitoring system based on Wi-Fi technology. Firstly, a framework including intelligent perception layer, data communication layer and data integration layer is designed to realize the real-time data acquisition of the Internet of Things. Then, a data communication mechanism with high transmission rate is established by the Wi-Fi technology to realize the wireless transmission of monitoring data. Finally, the abnormal data judgment module is designed by using BP neural network to further analyze the real-time data of the Internet of Things. The abnormal monitoring results of the real-time data of the Internet of Things are obtained, and the monitoring results are presented through a visual interface. The system test results show that the total response time of the proposed system is 7440ms, which is reduced by 37. 2% and 42. 89% compared with the CAN-based and PLC-based systems. At the same time, the system realizes the intelligent analysis and efficient monitoring of Internet of Things data and promotes the development of data remote monitoring technology.