Authors

Abstract

To enhance the mechanization and intelligence of rice seedling cultivation, this study addresses the problems of high labor intensity, low efficiency, and difficulties in on-site monitoring associated with manual tray lifting machines. A remote operational monitoring system for fully automated rigid tray lifting machines based on wireless communication technology was designed and implemented. The system adopts a Browser/Server (B/S) architecture to establish a cloud-based monitoring platform, including the design of a front-end data visualization interface, the development of back-end data processing and storage solutions, and the definition of the monitoring data structure. The platform integrates functions such as chuck alarm monitoring, rice seedling tray counting, and motor status monitoring. It relies on Programmable Logic Controller (PLC) and Data Transfer Unit (DTU) modules to achieve real-time collection and transmission of operational information. Field experiments conducted in three seedling nurseries in Heilongjiang Province, China, showed that the communication data reception rate consistently exceeded 94.87%, reaching a maximum of 100%. The reception probability of chuck alarm information reached 100%, with an average response time of approximately 0.21 s. The system operated stably without causing damage to the rice seedling trays. The results indicate that the proposed system demonstrates excellent stability and real-time performance in agricultural production environments, providing effective technical support for the promotion and application of intelligent rice seedling cultivation equipment.

Abstract in Chinese

为提升水稻育秧机械化与智能化水平，针对人工起盘劳动强度大、效率低及现场监测困难等问题，本文设计并实现了一种基于无线通信技术的水稻全自动硬质秧盘起盘机远程工况监测系统。系统采用B/S架构构建云端监测平台，完成前端数据可视化界面设计、后端数据处理与存储方案构建，并定义监测数据结构。平台集成卡盘报警、起盘量监测及电机状态监测功能，依托PLC与DTU模块实现工况信息的实时采集与上报。在黑龙江省三处育秧棚内开展实地试验，结果显示通信数据接收率均超过94.87%，最高达到100%；卡盘报警信息接收概率为100%，平均响应时间约0.21 s，系统运行稳定且未造成秧盘损坏。研究表明，该系统在农业生产环境中具备良好的稳定性与实时性，可为智能化水稻育秧装备的推广应用提供有效技术支撑。