Industrial Data Acquisition and Visual Analysis Based on Ames Edge Computing Gateway

一、方案背景
传统工厂设备数据分散、孤立，依赖人工巡检和纸质记录，导致 运维响应滞后、生产效率不透明、决策缺乏数据支撑。通过集成埃姆斯边缘计算网关及云平台技术，实现设备数据 实时采集—边缘计算—云端分析—可视化呈现，推动工厂向数字化、智能化转型。

2、 Core function module
Industrial equipment data acquisition

Multi protocol compatibility: connect PLC, CNC machine tools, sensors and other equipment through the RS485/Ethernet/DI interface of Ames Gateway, and support industrial protocols such as Modbus, OPC UA, Profinet, etc.

High frequency acquisition: millisecond level acquisition of equipment operating parameters (such as temperature, vibration, current), production count, fault code, etc.

Edge computing and data standardization

Local pre-processing: complete data filtering, outlier elimination and timestamp alignment in the gateway to reduce cloud load.

Protocol conversion: unifies heterogeneous device data into MQTT/HTTP format for cloud integration.

Edge alarm: real-time computing equipment OEE (comprehensive efficiency) and local audible and visual alarm will be triggered immediately when the energy consumption exceeds the standard.

Data cloud management and analysis

Dual channel upload: data is synchronized to the workshop board (low latency) and the group cloud platform (long-term storage).

AI model analysis: the cloud platform trains the model through historical data to predict equipment failure (such as bearing wear trend).

Visualization and decision support

Workshop Kanban: real-time display of equipment status (shutdown/operation/alarm), production progress and quality qualification rate.

Cloud platform big screen: group level view summarizes multi workshop data, and analyzes KPIs such as capacity utilization and energy consumption ranking.

Mobile terminal push: send fault work orders and energy efficiency optimization suggestions to operation and maintenance personnel.