Design And Research On Industry Monitoring System Based On 6LoWPAN And WiFi

Real-time and historical data that reflects the production situation, is provided to supervisors by the industry data monitoring system.Traditional wired monitoring system needs to lay line, which cost much in maintaining and upgrading. Although the above problems have been solved basiclly in traditional wireless monitoring system, there still exists complicated process of network connection, poor universality and the performance is not compatible with consumption and so on. Aiming at the above questions, a wireless monitoring system based on the 6LoWPAN and WiFi networks which is research focus in the internet of things field, is designed. it can be used to collect smoke, liquid level, temperature, pressure, flow value data and others while overcoming the problems of traditional wireless monitoring system, as well as provide real-time and reliable information for supervisors.The research background of this paper is data monitoring of alkali recovery combustion workshop section. According to the requirements analysis of data monitoring system in industry field, scheme establishment of monitoring system, hardware and software design, practical application are researched.(1) Design of industrial monitoring and control system based on 6LoWPAN and WiFiAccording to the actual requirements of industry monitoring, the processor with low power consumption is used to collect data while the 6LoWPAN network and WiFi network which have high universality are considered to achieve data transmission.6LoWPAN nodes and WiFi nodes are two-way communication between the host computer and the cloud server through the border router and the wireless router. For the 6LoWPAN node, Contiki OS, with less memory occupied and easy to transplant, is selected as its running environment. The RPL protocol, with a high speed of networking, is selected as its networking protocol. For the WiFi node, the light weight FreeRT OS is selected as its running environment, and the AirKiss protocol, which is convenient for networking, is used as its networking protocol. Finally, the actual monitoring system solution is designed.(2) Hardware design of industry monitoring system based on 6LoWPAN and WiFiFor the monitoring system of data acquisition and transmission function, the hardware circuits of 6LoWPAN nodes, border routers and WiFi nodes are designed. CC2530 is considered to be the main control unit of 6LoWPAN nodes and the border router. ESP8266 is selected to be the controller of WiFi node. Each node is expanded with analog and digital data acquisition interface. The border router is extended with wireless and wired communication interface and debug interface.(3) Software design of industry monitoring system based on 6LoWPAN and WiFiIn order to achieve high efficiency in data acquisition, preprocessing and transmission, the 6LoWPAN and WiFi nodes system initialization program, networking program, buttom layer driver program, data acquisition and processing program, thread or task scheduler, data transmission and processing program are realized in the Contiki and FreeRTOS environment. In the communication between the 6LoWPAN node and the host computer, the bidirectional NAT64 conversion of the border router is also realized. At last, design process and key points of PyQt PC software are elaborated. A UDP server is created in the background of PC. The PC software can access LAN or WAN to process the data acquired and output to the monitoring window and eventually realize remote monitoring function.(4) Application of data monitoring system in combustion of alkali recoveryAccording to the monitoring needs of combustion in alkali recovery and actual situation of parameters change, the corresponding sensors are selected. The data monitoring system composed of 10 6LoWPAN nodes and 14 WiFi nodes is designed. Before the system is put into application, data acquiring function of 6LoWPAN node and WiFi node, the bidirectional communication function between each node and PC is tested. Besides, a set of sensors are selected and a PyQt monitoring software is designed. Compared with the local result tested, the reliability of the data monitoring system is verified. The monitoring software can not only show real-time data of each node automatically, but also look up historical data. Finally, the problems in system debugging and application process are analyzed and summarized.The node power consumption can be reduced effectively with Low power hardware circuit, low overhead operating system, protocol stack and the optimization of the power consumption in software. Rely on a variety of sensor hardware interface, features of easy to expand nodes of the 6LoWPAN network and WiFi network as well as the RPL and AirKiss protocol which can quickly network, the system’s versatility is improved. Compared with the traditional wireless monitoring system, this monitoring system which is applicated in the alkali recovery combustion and considered to have certain research and application value, forms advantages of ultra low power consumption and high versatility and can provide stable and reliable production data to supervisors more efficiently and conveniently.