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How to Achieve Data Acquisition and Remote Monitoring in Glass Material Production

Published: 2026-09-20 11:31:45
Glass factory production involves five main stages: batching, melting, forming, annealing, and inspection/edge trimming. Among these, melting, forming, and annealing are the most critical processes on the production line—any problem in one of these stages will affect product quality and output. Temperature control, for example, is closely tied to the heating and cooling conditions of the glass, making accurate and timely collection of furnace temperature data essential for effective temperature regulation.

To safeguard production efficiency and product quality in glass manufacturing, WideIOT offers a PLC-based data acquisition and remote monitoring system solution. By connecting to PLCs to collect real-time data such as temperature and pressure, and transmitting it via 5G/4G/Wi-Fi/Ethernet to cloud platforms or host systems, the system enables SCADA-style monitoring of every production stage—from raw material preparation and melting to forming and heat treatment. This allows anomalies to be detected and addressed promptly, ensuring stable and reliable production processes.

Features

Automated Data Acquisition and Reporting – Automatically collects data and generates reports or trend curves. Real-time and historical data can be quickly accessed via PC or mobile devices, ensuring safe and orderly production management.

Customizable Industrial Cloud SCADA – Enables visualized monitoring through personalized cloud-based SCADA configurations, consolidating critical information—such as equipment status, real-time data, process progress, and production quality—into a single view. This supports visualized, controllable, and refined management, enhancing on-site operations and maintenance.

Abnormal Data Monitoring and Automatic Alerts – Monitors abnormal data and triggers automatic alerts via WeChat, SMS, or email. It also tracks fault resolution progress, work logs, responsible personnel, and handling times in real time—enabling timely and efficient maintenance.

Data-Driven Optimization – By monitoring data and key performance indicators, the system provides managers with reliable analytical tools to optimize and improve equipment operation, production processes, and energy consumption levels—supporting sound decision-making and tracking implementation results.
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