IOT News

A semiconductor materials company, specializing in the R&D and production of semiconductor materials, operates a production line comprising dozens of automated equipment units, including lasers, steptype dryers, and solder etchers. As market demands for product quality consistency continue to rise, traditional manual inspection and paperbased recordkeeping can no longer meet the requirements for refined production management.

The company now requires a system capable of collecting and networking data from all types of production equipment, with unified data transmission to the MES (Manufacturing Execution System) to enable centralized management, realtime monitoring, and datadriven decisionmaking. To address this need, WideIOT provides a highly reliable industrial IoT solution based on its industrial intelligent gateways.

Solution Overview

WideIOT industrial intelligent gateways are equipped with multiple serial ports and Ethernet interfaces, and support protocol parsing for major PLC brands including Siemens, Mitsubishi, Omron, Schneider, Delta, and Inovance, as well as custom development for nonstandard protocols. The gateways collect critical production parameters—such as process variables, operating status, fault alerts, and mechanism limit signals—in real time, and transmit the data via the plant network (5G/4G/WiFi/Ethernet) to the MES system or data dashboards for centralized visualization, alerting, statistical analysis, and reporting.

Key Capabilities

RealTime Data Collection and Integration – The system captures equipment status (running, standby, offline, fault) and process parameters (temperature, pressure, flow rate, current, vibration, etc.) and uploads them to the MES system in real time.

Automated Alerting and ClosedLoop Management – When abnormal parameters or equipment faults are detected, alerts are automatically sent to relevant personnel via WeChat, SMS, or email. Alarm summaries are also displayed on MES dashboards, enabling rapid response and effective closedloop issue resolution.

Edge Computing for Performance Optimization – The gateways support edge computing capabilities, including intelligent data acquisition, data filtering, alarm calculation, triggeronchange detection, formulabased computation, and grouping strategies. This offloads computational burden from the cloud or MES servers, significantly reducing project costs.

High Availability and Data Integrity – Builtin selfhealing mechanisms—including watchdog timers, automatic network reconnection, storeandforward with断点续传, and process health monitoring—ensure continuous and stable data collection.

Key Metric Dashboards for DataDriven Decisions – The system aggregates and visualizes critical performance indicators such as OEE (Overall Equipment Effectiveness), equipment online rates, downtime frequency, alarm counts and resolution progress, and production reports (daily/weekly/monthly). These insights support management in making informed, sciencebased decisions to drive operational excellence.