DCS Data Acquisition Solution for the Glue Production Line

A certain factory has a large-scale glue production line. It utilizes multiple DCS control cabinets and frequency converters to achieve automated control over a large number of instruments, including control valves, weighing instruments, flow meters, level meters, pressure transmitters, and thermometers. This enables the implementation of process logic such as material conveying, metering, pre-mixing, feeding, dropping, reaction, and discharging, effectively enhancing production efficiency. To further tap into the value of production data and achieve more refined production management, it is necessary to construct a comprehensive data acquisition and remote monitoring solution.

In this regard, WideIoT offers a solution based on industrial intelligent gateways. These gateways feature multi-protocol compatibility, edge computing capabilities, and highly reliable networking. They can seamlessly interface with the existing Siemens DCS system, enabling data acquisition and real-time networking of the status and process parameters of glue production equipment. This opens up data flow channels between the equipment layer, the monitoring layer, and the cloud, providing comprehensive data support for production monitoring, quality traceability, and operation and maintenance management, and driving the factory's management towards refinement and intelligence.

Functions to be Achieved

Real-time Data Acquisition: Collect core process parameters in real-time, such as the flow rate of raw material conveying, pre-mixing time, feeding amount, dropping rate, real-time temperature of the reaction kettle, material viscosity, valve switch status, and motor status. Enable internet access through 5G/4G/WIFI/Ethernet.

Real-time Parameter Monitoring and Intelligent Alarming: Continuously monitor various parameters and, based on intelligent alarm rules, automatically send notifications via WeChat, SMS, or email when abnormal parameters are detected. These notifications include information such as the abnormal parameter, the faulty equipment, and the alarm time.

Cloud-based Monitoring and Visualization: By transmitting the collected data to a cloud monitoring platform, it allows for the visualization of equipment operation status, process parameters, quantity types, alarm frequency, and other information through cloud-based configuration. This facilitates reasonable resource allocation, improving work efficiency and management levels.