NB-IoT System Design For Remote Monitoring Of Cranes

Cranes play a vital role in today’s industrial production.With the continuous development of the Internet of Things and artificial intelligence,this paper introduces the Internet of Things technology and machine learning algorithm into the remote monitoring of cranes to establish a remote monitoring system for cranes.The design goal is to monitor the crane’s operating status in real time and use artificial intelligence to provide a safety warning to the crane’s metal structure.So far,some companies at home and abroad have made a lot of efforts to monitor the cranes in combination with the Internet of Things technology.Although the purpose of monitoring the crane is achieved,due to the use of local area network monitoring,the monitoring distance is short,and the overall evaluation of the overall structure of the crane is less.In this paper,the Narrow Band Internet of Things(NB-IoT)technology is incorporated into the monitoring of cranes.At the same time,the support vector machine in the machine learning algorithm is used to carry out a safety warning on the health of the overall structure of the crane,realizing the remoteness of the crane monitor.The main research contents of this article are as follows:Firstly,overall design: The key components of the crane remote monitoring system were analyzed in detail.Then the architecture of the Internet of Things and the functions to be realized in each layer structure was analyzed.At the same time,the technical advantages of NB-IoT were explained.The design of the crane monitoring terminal and the crane monitoring cloud platform was introduced respectively.Finally,the architecture design of the crane remote monitoring system was designed.Secondly,The design of the acquisition terminal: Design and selection of the hardware of the acquisition terminal;the pin-type sensor is used to collect the lifting quality of the crane;the wireless strain sensor is used to collect the stress of the crane metal structure;the crane hydraulic oil temperature sensor is used for the crane The oil temperature is monitored;the wind speed sensor is used to monitor the wind speed;the positioning module is used to monitor the position of the crane;the temperature and humidity sensor is used to monitor the temperature and humidity of the environment where the crane is located;then the NB-IoT technology is selected as the communication of the Internet of Things.The method is to perform data transmission;finally,the communication protocol is written,and the uploading and delivery of the collected data are realized.Thirdly,design of structural safety warning: In order to be able to design early warning of crane metal mechanism safety,the support vector machine algorithm in machine learning is used.Take out the required data from the database and carry out safety warnings on the crane metal structure to avoid safety accidents.Finally,Cloud platform design: The Alibaba Cloud IoT Suite is selected as the cloud platform for the crane remote monitoring system,which saves the cost of the enterprise self-built server and enables the administrator to log in to the cloud platform at any time to view the working status of the monitoring terminal node.The Alibaba Cloud database is used to store the data,and five database tables are designed.In order to realize the fast operation of the data,the same primary key is used for the database table.Finally,data transmission and power consumption of the system were tested and tested to meet the system requirements.