IOT News

The rolling mill is a critical piece of equipment in steel production, and its lubrication station functions much like the circulatory system of the human body. If the oil becomes contaminated, it can easily lead to a chain reaction of equipment jamming, accelerated wear, and other issues. Without timely monitoring and early warning, unplanned downtime becomes highly likely, resulting in significant economic losses.

Traditional oil monitoring relies on manual "periodic sampling plus offline testing," which suffers from inherent latency. It cannot provide real-time visibility into oil condition, and by the time abnormalities are detected, the equipment may already have sustained potential damage. The subsequent costs of equipment repairs, oil replacement, and even unplanned shutdowns can be exorbitant. For these reasons, implementing an automated oil condition monitoring system is highly necessary and plays a vital role in extending equipment service life and enhancing workplace safety.

A steel mill has deployed an online oil condition monitoring system that requires real-time measurement of key parameters such as moisture content, viscosity, and metallic particles. WideIOT has implemented a solution using data acquisition gateways that connect to various sensors—including those for moisture, viscosity, and metal particles—to collect oil data in real time and transmit it to the management platform via 4G networks. This enables continuous monitoring of oil quality and triggers automatic alerts when abnormal readings occur, helping on-site personnel quickly identify and diagnose issues so they can take corrective action to protect both production and equipment integrity.

Key Features

Supports simultaneous connection to multiple sensor types—including moisture, viscosity, metallic particles, temperature, and pressure—with flexible data collection intervals, providing round-the-clock oil health monitoring that eliminates the need for manual periodic sampling.

Built-in smart alert engine with customizable thresholds and multi-level alarm logic. When data exceeds preset limits, alerts are automatically pushed via SMS, WeChat, or email, enabling early detection and timely intervention.

Visual data dashboards that display real-time readings and historical trends through charts, graphs, and gauges, with support for comparative analysis and rate-of-change tracking to help anticipate equipment health trajectories.

Compatible with MQTT, HTTP, and Modbus TCP protocols, and can interface with enterprise systems such as ERP and MES. Open data APIs are provided for easy secondary development and system integration.

Automatically logs all monitoring data, alarm events, and operational activities, with multi-dimensional search and export capabilities. Automatically generates weekly and monthly oil quality reports to meet record-keeping and audit requirements.