IOT News

A precision manufacturing company specializing in high-precision component processing operates dozens of critical pieces of equipment on its shop floor, including CNC machines, programmable logic controllers (PLCs), and industrial robots. As market demands continue to rise for product quality, delivery efficiency, and flexible manufacturing capabilities, the traditional equipment management approach—relying on manual data logging, standalone operations, and experience-based judgment—can no longer support the level of production transparency and data-driven decision-making required today.

To address this, the company requires a unified networking and data collection system for all key production equipment. Equipment status, process parameters, machining programs, alarm signals, and production counts must be transmitted to the enterprise MES system via secure, high-efficiency communication links. This will break down information silos and enable centralized monitoring, real-time visibility, and intelligent, data-driven factory operations. To achieve this, WideIOT provides a one-stop solution for equipment networking and visual management, built around its industrial IoT gateways.
 

Solution Overview

The shop floor consists of multiple machining cells (each comprising a CNC, an industrial robot, and a PLC). Both the CNC machines and industrial robots are equipped with Fanuc controllers, while the PLCs come from brands including Siemens, Omron, and Mitsubishi. WideIOT deploys industrial IoT gateways at each cell to collect real-time operational status and process parameters from every piece of equipment. The data is then transmitted to the MES system over 5G networks, enabling visual monitoring, alerting, management, control, and statistical analysis of production operations.

Key Features

Real-time collection of critical data, including CNC spindle speed, feed rate, tool number, and machining programs; PLC-controlled equipment status and process parameters; and robot axis coordinates, motion trajectories, and I/O signals.

Automatic tracking of equipment operating, standby, and fault states, as well as production counts (good parts / defective parts) and key material information. All data is uploaded to the MES system in real time, building a complete product lifecycle record and enabling full traceability in both directions.

When equipment parameter anomalies are detected, the system automatically notifies responsible personnel via WeChat, SMS, or email, while simultaneously aggregating alerts on a management dashboard. It also compiles alarm frequency, fault distribution, and downtime statistics for further analysis.

The gateways are equipped with powerful edge computing capabilities, supporting data filtering, formula-based calculations, alarm threshold configuration, and grouping policies. This effectively reduces the load on the MES server and network bandwidth, ensuring stable system performance even under high-concurrency conditions.

Comprehensive KPIs are aggregated, including Overall Equipment Effectiveness (OEE), utilization rate, downtime rate, tool life, alarm frequency, and daily/weekly production reports. These metrics help management quickly identify production bottlenecks, make informed production scheduling decisions, and optimize resource allocation, providing a solid data foundation for lean manufacturing initiatives.