为提升火电厂大型钢板仓灰库的安全生产与远程运维的信息化水平，本文提出了以仓壁应变空间非线性加权的多源感知融合健康状态评估方法，并设计了“边缘采集终端—云服务—Web应用”的云边协同架构的健康监测系统。边缘采集终端以STM32F407为主控，通过Modbus协议接入多种解调仪，采集应变、温湿度、倾角和沉降等监测数据，并利用三维雷达扫描机器人获取仓内料面点云、料位及料位差信息。监测数据经边缘解析和分类封装后，通过4G上传至云端；云端主要实现终端连接管理、数据解析与存储和控制指令转发，同时利用健康评估算法综合评价钢板仓健康状态；Web应用端实现实时监测、历史查询、异常告警、远程控制及钢板仓健康状态可视化展示。现场实测表明各功能模块间可协同运行，实现了现场感知、远程监控、健康评估间的应用闭环，可为大型钢板仓类工业贮存设施的健康监测提供可靠技术参考。

To improve the informatization level of safe operation and remote maintenance for large steel silo in coal-fired power plants, a multi-source sensing fusion health-state assessment method based on nonlinear spatial weighting of silo-wall strain is proposed, and an edge-cloud-Web collaborative monitoring system is developed. The edge acquisition terminal uses an STM32F407 controller and accesses multiple demodulators through Modbus to acquire strain, temperature and humidity, inclination, and settlement data. A three-dimensional radar scanning robot is used to obtain material-surface point clouds, material level, and level-difference information. After edge parsing and classified encapsulation, monitoring data are transmitted to the cloud through 4G. The cloud mainly performs terminal connection management, data parsing and storage, control-command forwarding, and health-state assessment. The Web application provides real-time monitoring, historical query, abnormal alarms, remote control, and visual presentation of the silo health state. Field tests show that modules can operate collaboratively and realize an application loop integrating field sensing, remote monitoring, and health assessment.