A warehousing system based on an improved positioning algorithm is proposed to meet the data collection and positio-ning accuracy requirements of the smart warehousing system for power new materials.Among them,temperature and humidity sensors are the main source of multi-source data,and MCU and other main control chips are used to achieve data collection in the storage sys-tem through hardware and software design;In response to the problem of poor positioning using traditional Taylor algorithm in UWB positioning,a positioning method using position fingerprint collaboration is proposed.The position of the target to be tested is prelimi-narily estimated using the position fingerprint algorithm,and the result is used as the initial value.Then,the Taylor algorithm is used for positioning to improve positioning accuracy and solve the problem of random initial values in traditional Taylor algorithm.The sim-ulation results show that the positioning method exhibits good positioning accuracy and convergence speed in MATLAB simulation and LOS,NLOS line-of-sight environments.Moreover,the simulation task time of this system is very close to the actual task time,and the error between the two is relatively small.From this,it can be concluded that the proposed warehouse positioning method can im-prove the accuracy of the system's warehouse positioning,and has certain feasibility and effectiveness.
关键词
多源传感器/智能仓储/UWB定位/温湿度监测/位置指纹-Taylor算法
Key words
multi-source sensors/intelligent warehousing/UWB positioning/temperature and humidity monitoring/location fingerprint-taylor algorithm
维普
万方数据