Abstract: In view of the current problems of backward data collection methods and lack of production status monitoring methods in agricultural machinery manufacturing workshops, an application solution based on radio frequency identification technology (RFID) was studied. First, on the basis of analyzing the current production status of the enterprise, a data collection scheme and network support architecture based on RFID technology were proposed; secondly, a work-in-progress status tracking system was developed through the Visual Studio 2017 platform and C# language; finally, a corn chopper was selected as the The research object realizes the hardware deployment at the production site and conducts experiments on its production process; the experimental cases show that the system can work quickly and stably, helping the company achieve real-time data collection and visual monitoring of production status, verifying the proposed feasibility and effectiveness of the method. Keywords: agricultural machinery manufacturing workshop; radio frequency identification; data collection; visual monitoring


Radio Frequency Identification (RFID) is a non-contact automatic identification technology that can automatically identify stationary or moving objects attached with electronic tags. As an important part of the Internet of Things, it has received great attention at home and abroad, and has been deeply studied by domestic and foreign scholars in aspects such as warehouse management, identity recognition, and production control. In addition, compared with traditional barcode scanning technology, RFID technology has the characteristics of long-distance batch identification, fast information processing speed, and strong adaptability to the environment, making its application advantages in manufacturing workshop data collection, production process monitoring and other fields increasingly obvious, giving The development of informatization in traditional discrete manufacturing has had a huge impact [1]. At present, domestic and foreign scholars have done some theoretical research on the application of RFID technology: Literature [2] summarizes the application model of RFID technology in discrete manufacturing. Literature [3] summarizes the application essence of RFID: monitor the status changes of manufacturing resources and collect related data associated with the changes; and proposes a work-in-process data collection model based on RFID. According to the EPC code structure in the electronic tag, the literature [4] proposes coding rules for associating manufacturing resources to achieve static association and dynamic association of the manufacturing resource processing process. The literature [5-6] proposes an RFID reader optimization deployment algorithm, which can be used under limited conditions. Get the maximum coverage area within the space. Literature [7] proposed the combination of RFID technology and warehouse management system, and developed a selection algorithm in the RFID inventory management system to maximize the efficiency of material handling and reduce operating costs. The above-mentioned literature proposes various application models and simulation algorithm research based on RFID technology, but they all focus on theoretical research and lack research combined with actual production problems of enterprises. Therefore, there is a phenomenon that "application research lags behind theoretical research". . Based on the research of the above-mentioned scholars, combined with the production status of an agricultural machinery enterprise in Xinjiang, an RFID application solution for agricultural machinery manufacturing workshops is proposed. The hardware configuration and real-time data collection of RFID were implemented around the process flow and production batches of the work-in-process production process, and a monitoring platform based on C/S architecture was developed through the Visual Studio 2017 platform to achieve visual monitoring of the production process.

  2 Analysis of production status and application requirements 2.1 Analysis of production status Xinjiang M Company is an enterprise engaged in manufacturing agricultural and animal husbandry machinery. After investigation and analysis, the production process of the corn chopper is mainly completed by physical processing and assembly. The assembly process is mainly divided into four work sections. The shell frame is first put online at the assembly line. Each time it reaches an assembly station, workers install the corresponding parts according to the corresponding assembly requirements until it goes offline. The assembly process is complex and there are many types of materials. There are two main problems: (1) The data collection method is backward. The equipment is old and the informatization level is backward. The person in charge of the work section needs to manually record the assembly information when the product comes off the production line. It is impossible to obtain real-time data of the production process, and it is impossible to analyze the production capacity by analyzing historical data. For example, different proficiency levels of workers lead to large differences in the completion time of each process, resulting in unbalanced production line operations. (2) Real-time supervision of production progress issues. Workshop managers cannot understand the real-time production progress information of current products in real time and need to constantly check the status of the front line of the workshop, resulting in low work efficiency and a waste of time and cost. 2.2 Application demand analysis More and more scholars and enterprises realize the importance of combining theoretical analysis with enterprise production conditions. Therefore, here we study the information management of the production process through the combination of RFID technology and the production process. The specific contents are as follows: (1) Collect real-time data of the production process through RFID technology to achieve paperless transmission of product data in the production process. ,Informatization. Eliminate the untimeliness and error-proneness of traditional manual collection methods. (2) The different proficiency levels of workers lead to large differences in processing time, and the processing time of each station cannot be standardized, resulting in a waste of time and cost. Real-time processing time is obtained through RFID technology in real time, providing data support for the company's later production capacity analysis. (3) Realize unified management of data by building a workshop network support system, develop a work-in-progress tracking platform, and achieve visual monitoring of the production process.

3 RFID-based application solution design
3.1 Data collection scheme design Real-time data collection is the basis for real-time status tracking of products in process, and the data collection process accompanies the entire production process. The specific data collection ideas are as follows:
3.1.1 Operation preparation stage Before operation, materials and RFID tags need to be bound. First, write product information and process flow information into the RFID tag, assign a temporary ID to the product for unique identification, and complete the initialization of the RFID tag. Then, paste the label on the product model. After successfully entering the information, you can prepare for online operation.
3.1.2 Assembly operation stage Set up data collection points in each process, that is, install RFID antennas. When the in-process products arrive at the assembly station, the reader reads the process information in the tag through the RFID antenna and obtains the current processing status information. When the worker completes the process and the quality inspection result is "qualified", the data in the label will be automatically updated according to the process information. The above process will be repeated until all processes are completed, waiting to enter the debugging section. 3.1.3 Debugging stage After the assembly work of the work-in-progress is completed, the whole machine debugging stage will be entered. If the debugging fails, the processing status of the work-in-progress will be updated to "Rework". After the rework is completed, the debugging stage will be entered until the debugging passes; if the debugging passes, the processing status information will be updated to "Debugging Passed".
3.1.4 End of the job After all assembly operations are completed and the whole machine is successfully debugged, the data is automatically transmitted to the database server through the middleware for storage. All tags are recovered and the tag information is cleared at the same time for recycling. specific process,

3.2 Material status tracking principle Material status tracking information [8] includes basic material information and material status information. Basic material information such as material name, material code, specification model, production batch, etc.; material status information such as assembly status information, work station information, time required to complete the process, etc. By installing RFID data collection points at each work station, the changing status information of the product during production at that work station can be captured until all processes are completed. The entire process realizes the synchronization of physical flow and information flow.

  3.3 System network support architecture Based on the RFID data collection scheme, the system network support architecture is designed [9], as shown in Figure 3. The data collection layer directly faces the workshop production site through RFID data collection terminals to realize the collection and storage of production data. The underlying data is then uploaded to the database server through RFID middleware and workshop LAN; the data processing layer provides data support for the application layer after completing the processing of the original data; the enterprise application layer is used to support functional modules such as production process monitoring and historical information query. Production process data can also be provided to other systems through Web Service or Extensible Markup Language (XML). Enterprise managers can directly or indirectly obtain real-time production information through integration with MES systems. 272 Fan Yuxin et al.: Research on the Application of Radio Frequency Identification Technology in Agricultural Machinery Manufacturing Workshops Issue 5 Figure 3 System Network Support Architecture Fig.3 System Network Support Architecture

  4 System Implementation Based on the above data collection scheme and system structure, through the Visual Studio dio2017 platform and C# programming language, and with reference to the API configuration file provided by the equipment developer [10], an agricultural machinery manufacturing workshop work-in-progress status tracking platform was developed , using SQL Server database to store production and manufacturing data. In order to ensure the real-time and security of data, the system is developed using C/S architecture. System functional module design, as shown in Figure 4. It mainly includes data collection module, production status monitoring, real-time information statistics, and historical data query. Figure 4 System Function Architecture Diagram 4.1 Data collection module Data collection is the core of the system, including tag initialization and data acquisition. That is, the collected data is stored in the database through the data collection device, and then Through the analysis and processing of data, data support is provided for production status monitoring. 4.2 Production status monitoring When a tagged product enters the antenna scanning area, the basic information and production status information of the product are obtained, and the production status of the work-in-process is monitored in real time; the production plan is fed back in real time through the production batch number of the work-in-process. Complete schedule. 4.3 Real-time information statistics: Real-time statistics on the total number of online operations, completed quantity, and quantity under assembly of the entire assembly line; statistics on the quantity of various products according to work stations, product categories, and production plans. 4.4 Historical data query Statistics of historical data of produced products based on completion time, product specifications and models, plan numbers, and product codes. 5 Case verification The experiment takes the corn machine chopper assembly process as an example. The RFID hardware configuration of the production line is shown in Figure 5. The reader collects and writes data to the tag by connecting to the RFID antenna, and then connects to the host computer to form a local area network. The host computer implements the setting of RFID hardware device parameters and data communication with the reader. RFID reader/writer RFID tag Host computer Corn machine chopper RFID antenna Figure 5 RFID site configuration diagram Fig.5 RFID Site Layout The corn machine chopper has four assembly sections, and each section is equipped with an RFID antenna. Taking the assembly process of the chopper as the research object, the material code corresponding to the chopper is 202031506250001, the specification model is QS-3150, and the production plan is 202006-01. The corresponding process route table is shown in Figure 6. It should be noted that due to the complexity of the on-site environment, the configuration of the RFID equipment will be affected. In order to ensure the reading efficiency of the RFID antenna, the electronic label is affixed to the side of the housing close to the antenna to ensure that each assembly process can be read. Obtained. Figure 6 Corn Machine Mhopper Assembly Process FlowchartFig.6 Corn Machine Mhopper Assembly Process Figure 7 System Operation InterfaceFig.7 System Operation Interface Before assembling the chopper, attach an RFID tag and enter initial information, such as product name, Coding, production plan number, etc. After the tag initialization is completed, it is ready for online production. When the product enters the first process, the RFID reads the tag information and obtains the current location information and status information. At the same time, it records the start time. When the chopper completes the process, it is automatically updated. Label information and record the completion time, and so on until debugging is completed. At the same time, the collected data is stored in the database, and the tags are finally recycled for recycling. The program running interface displays the entire above-mentioned process in real time, and can also accurately display the completion status of the current process and production plan, and count the completion time of each process, the online quantity of each model of product, the completed quantity and other information.