摘要
城市地下水管网道的水质被污染会影响城市居民的生活体验与身体健康的情况,为此,提出一种基于UWB定位的无人船的设计,并结合了基于自适应卡尔曼滤波的方法提高定位精度,运用蓝牙模块进行基础数据的传输,NB-IoT模块将采集的数据实时上传到云端服务器。当监测到水质不合格时,及时进行数据上传并通知相关部门进行处理。运用FreeRTOS操作系统,将程序分为相应的线程,分类设计优先级,优化程序流程。
Due to the pollution of water quality in urban underground water pipe networks,it will affect the living experience and health of urban residents.Therefore,this article proposes a design of unmanned ship based on UWB positioning,which combines adaptive Kalman filtering to improve positioning accuracy,and uses Bluetooth module for basic data transmission.The NB-IoT module uploads the collected data to the cloud server in real time,and once the water quality is unqualified,it will be reported and notified to relevant departments for handling.Use the FreeRTOS operating system to divide the program into corresponding threads,classify and design priorities,and optimize the program flow.
作者
张宏博
ZHANG Hongbo(College of Electrical and Information Engineering,Anhui University of Science and Technology,Huainan 232001,China)
出处
《电工技术》
2025年第22期134-137,141,共5页
Electric Engineering
