Development Of Data Acquisition And Analysis System For Agricultural Machinery Production Line Based On Internet Of Things

With the release of policies about China Manufacturing 2025 and the implementation of new and old kinetic energy conversion,the manufacturing industry of agricultural and construction machinery are experiencing considerable capacity gap,as well as various production problems.At present,the domestic agricultural machinery manufacturing industry cannot satisfy the needs of modern manufacturing industry,which is growing in a high speed.The reason is that the production management method is rough,most operation rely on manually processing,data dispersion and low production efficiency which is caused by the lack of complete information management system.With the rapid development of the Internet of Things,the human and machine law loops in the production workshop form a unified whole,so that small and medium-sized enterprises can easily build a data acquisition and processing system through the Internet of Things technology,and open up the “information barriers” of the workshop and management.The IoT manufacturing systems with low-cost,easy-to-deploy and flexible extension have gradually become a new paradigm for enterprise production transformation.In response to the current situation of this demand,this paper researches and develops a set of agricultural machinery manufacturing IoT system software to realize online monitoring and management of agricultural machinery production process.Firstly,this paper analyzes the development status of smart factories and manufacturing IoT systems at home and abroad,and combines the process characteristics of agricultural machinery production lines and the concept of Internet of Things technology to research and design a data acquisition and analysis of agricultural machinery production lines based on Internet of Things.Based on the architecture of the system,the production process data model and real-time data flow are established,and the development methods and implementation technologies of the system are explored.Secondly,we built the overall structure of data acquisition of agricultural machinery production line and studied concurrent communication and transaction scheduling strategies in order to meet real-time data acquisition of multi-source such as IoT sensors,PLC,video,etc.We designed reliable WSNS and researched device adaptive access method which can satisfy the system’s highly reliable and adaptive data transmission requirements;this paper raised a device-centric of real-time historical data model and applied a combination of in-memory and relational database which can make the data classification clear and easy to manage.In this way,the process-person-space-device can be linked throughout the system.Then,we developed the system front-end interaction framework,customized service interface,virtualization configuration and data visualization by using JS,WCF,WebService,Echarts and other technologies under the B/S architecture in order to meet the various production scenario needs.We visually displayed and analyzed the performance of the agricultural machinery manufacturing equipment,the malfunction situation,the energy consumption of the production process and the environment indicators of the workshop through statistical analysis,comparison and other analytical methods so that the system can be alarmed timely for the abnormal situation and we can achieve the goal of high quality and efficiency,low consumption and risk control of agricultural machinery.Finally,we took a coating machine manufacturing workshop of agricultural machinery equipment as the research object and built the agricultural machinery and engineering machinery manufacturing IoT management system,including: production process monitoring,energy management,fault and alarm,data analysis,third-party application and system configuration.After field processing testing,the system can get the information about production data,equipment working status,energy consumption situation,fault alarm or more timely and accurately,which can lead the agricultural machinery to product in a effective way and refine the management method.