Integrated Control and Processing Technology of Multiple Signals for Batch Power Sensors

Data fusion is a process of combining information from different sources, different modes, different media, different times and different representations, and finally getting a more accurate description of the perceived object. Through the reasonable control and use of multi-sensor and its observation information, according to the set criteria, the parallel data can be combined quickly to obtain the consistent interpretation or description of the tested object. Multi-sensor information processing can be divided into two situations: one is the side device with multiple detection quantities and the other is the side device with multiple detection quantities. In view of these two application scenarios, this paper proposes an efficient and fast data processing method and a processing method to increase the classification of container technology to process different source data, and uses time-division multiplexing technology to transmit different levels of data streams in time slots, which improves the number. The timeliness of the evidence. The research results of this paper provide an effective theoretical and experimental basis for sensor data processing and control system of ubiquitous Internet of things.