Location Algorithm Design And System Implementation For High-risk Production Area

With the developing of Internet of Things (IoT), wireless location technology system based onWireless Sensor Networks (WSN) and Wireless Local Area Networks (WLAN) has been studyedextensively. In order to track field staff real-timely of the high-risk production areas and strengthentheir safety management, a personnel location system based on WSN was presented in this paper.Firstly, the scheme of personnel location system in high-risk production has been designedafter analyzed the function of system demand. Then, the location engine was designed and realizedthrought analyzing characteristics of several common localization algorithms and filteringalgorithms, finally the localization precision was been tested by location experiment. Last, based onthe previous aspects, the location server has been desiged and realized, and location system wassimulated. More details are as follows:1) To design the location system framework, after this paper made a brief analysis andintroduction of wireless technology all over the world firstly, the CSS(Chirp Spread Spectrum)wireless technology was found as the best choice for its high accuracy ranging capacity and lowinterference with other wireless conmmunication systems. Based on previous research, this paperalso analyzed the characteristics of several ranging ways. Among in them, TDOA model onlyrequire clock synchronization between Anchors, so hardware equipment can be more simple andeasy to implement than TOA model. In addition, the cost was lower than the AOA. Also, it makesTag more easy to reduce power consumption, volume and cost. Meanwhile, according to theframework design of the personnel location system, the main field information of the systemdatabase was designed.2) To design the locatiom engine, this paper made an intense research of the TDOA locationalgorithm, such as Chan algorithm, Taylor algorithm and Kalman filter algorithm etc. Then, bacausethe location error was mainly caused by NLOS, this paper proposed a cooperative method torestrain NLOS error based on Taylor and Kalman. Meanwhile, the location engine also realized asmoothing algorithm for the measured value based on Kalman filter and a smoothing algorithm forthe location results based on the weighted moving average method.3) Based on the previous work, the paper realized the location engine including variousalgorithms. Then, the Nanotron nanoLOC Development Kit3.0development kit designed by thecompamy of Nanotron in German has been used for the indoor and outdoor positioning experiment.The results shown the cooperative method based on Taylor and Kalman can effectively restraine theNLOS error, thus improving precision of location, and the smoothing algorithm for those measurements based on Kalman filter can effectively reduce the measurement errors, thusenhancing system robustness. So these works have made significance for improving the locationprecision of the location system in high-risk production areas.4) According to the framework design, the location system server, including data server andinterface managemnt client, was designed and realized. Finally, the Nanotron nanoLOCDevelopment Kit3.0development kit has been ultilized for the location system simulation. Theexperimental eresults showed that the system was stable and the system had a certain value for thepersonnel location system in high-risk production areas.