IOT News

PLC Data Acquisition and Remote Monitoring System Solution for Overhead Cranes in Steel Plants

Published: 2026-07-11 10:57:00

Background  

With the growing demands of steelmaking, continuous casting, rolling, and billet handling operations, overhead cranes are critical specialized equipment in steel plants. They are widely used for lifting molten metal at high temperatures, transferring heavy tooling, and stacking finished materials—making them essential to the efficient operation of production lines such as steelmaking, continuous casting, and rolling.

However, as crane usage frequency and continuous operating hours continue to rise—and with cranes often operating under harsh conditions including high heat, heavy dust, and strong electromagnetic interference—traditional management practices such as periodic spot checks, manual inspections, and reactive maintenance are proving inadequate. These legacy approaches are increasingly plagued by slow fault localization, isolated equipment data silos, and high maintenance costs, making it difficult to meet the stringent availability and safety standards required by modern steel production.

Solution Overview  

WideIOT provides a highly effective and reliable IoT solution to address these challenges. By deploying PLC smart gateways that connect to crane PLC controllers, sensors, cameras, and other devices, the system captures real-time data on lifting loads, temperature, vibration, voltage and current, and live video feeds. This data is transmitted via 5G/4G to the equipment management platform, enabling remote monitoring, fault alerting, operations and maintenance (O&M) management, data analytics, and remote maintenance capabilities. These features help steel enterprises enhance equipment O&M efficiency and management standards, ensuring safe and continuous production operations.


Key Features

1. Multi-Brand PLC Compatibility – The PLC smart gateway supports communication protocols from leading brands including Siemens, Mitsubishi, and Omron. It collects real-time crane operating status and working parameters and reports them to the equipment management platform for visual data display and monitoring.

2. Proactive Alerting with Customizable Thresholds – Alert thresholds can be flexibly configured. When abnormal data is detected, the system automatically sends notifications via WeChat, SMS, or email, with precise identification of the faulty equipment and root cause. This shifts the maintenance paradigm from reactive "emergency repairs" to proactive "early warning."

3. Dual Data + Video Monitoring – The system simultaneously uploads operational data and high-definition live video feeds, providing a combined "data + video" oversight capability. With store-and-forward functionality for network interruptions, data integrity is ensured, giving operators an intuitive, real-time view of crane operations and on-site safety conditions.

4. Automated Work Order Management – Equipment alerts automatically generate maintenance work orders. Integrated with digital equipment records and preventative maintenance schedules, the system enables closed-loop work order management and full lifecycle traceability for each crane, significantly improving the standardization of maintenance processes.

5. Remote PLC Access and Diagnostics – Engineers can remotely access crane PLCs located across different workshops through the Device Maintenance Express feature. This supports remote diagnostics, program uploads and downloads, and remote debugging—dramatically reducing fault response times, cutting travel-related maintenance costs, and improving overall service efficiency.

6. Data-Driven Decision Support – The system provides on-demand querying of key metrics such as lifting load statistics, equipment runtime, energy consumption trends, and fault frequency. Automated reports and trend curves are generated, offering reliable data support for predictive maintenance, spare parts inventory optimization, and equipment technology upgrades.
Next: Energy Data Collection IoT System Solution for Shipbuilding Heavy Industry

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