Multi-sensor data fusion system based on LiteOS Internet of Things operating system

Abstract

The invention discloses a multi-sensor data fusion system based on a LiteOS Internet of Things operating system, and relates to the technical field of data fusion. The multi-sensor data fusion systemcomprises a data buffer unit which is connected with an external sensor and temporarily stores data received from the sensor, a multi-access and data management unit which manages the data stored in the data cache unit, is responsible for the mapping relationship between the data cache unit and the communication protocol unit, and fuses the data of multiple sensors, a communication protocol unit which provides a plurality of communication protocols and performs protocol frame analysis and protocol frame generation on the data of the multi-access and data management unit, and an interface unitwhich provides an interface for external calling. According to the multi-sensor data fusion system, the mass sensor node identification efficiency, the sensing data fusion efficiency, the applicationdevelopment efficiency and the engineering implementation accuracy during multi-source heterogeneous sensor network infrastructure deployment are improved, and the research and development cost, the engineering cost and the construction time are reduced.

Description

technical field [0001] The invention relates to the technical field of data fusion, in particular to a multi-sensor data fusion system based on the LiteOS Internet of Things operating system. Background technique [0002] With the development of IoT technology, intelligence has become the trend of IoT devices, and sensor technology is one of the foundations for realizing IoT intelligence. Since the information obtained by a single sensor is very limited, and it is also affected by its own quality and performance, therefore, a large number of different types of sensors can meet the needs of data collection. Numerous sensors are also produced by a large number of sensor manufacturers, which creates the problem of different sensor interfaces and protocols. Today, it is imperative to flexibly connect these types and a large number of sensors to devices. At the same time, if the information collected by each sensor is processed separately and in isolation, it will not only lead...

AI Technical Summary

Problems solved by technology

At the same time, the analysis of many sensor protocols is placed on the application, resulting in problems such as increased processing capacity, isolated information, poor cross-platform portability, poor real-time performance, and inconsistent computing frameworks.

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