Kelude Launches Digital Remote Monitoring with OPC UA PLC
Key Highlights: Kelude Heavy Industry's independently developed overhead crane digital remote monitoring platform is now officially live. It supports direct OPC UA connectivity with PLCs from leading brands including Siemens S7-1200/1500, Schneider M580, and Mitsubishi Q Series. A single edge gateway manages up to 30 overhead cranes, filling a product gap in remote operation and maintenance for crane manufacturers in central and western China.
As the industrial internet and smart manufacturing continue to advance, digital remote operation and maintenance of overhead crane equipment has become a critical path to cost reduction, efficiency improvement, and workplace safety. Kelude Heavy Industry has successfully developed an overhead crane digital remote monitoring platform built on edge computing and the OPC UA industrial communication protocol, enabling a full upgrade from single-machine local operation to cluster-level intelligent remote management. Below is a detailed breakdown of the platform's technical architecture and core functions.
From Equipment Networking to Intelligent Operations
The new platform adopts a three-layer architecture: edge gateway, cloud platform, and mobile terminal. The edge gateway comes pre-installed with an OPC UA server program and is deployed inside the crane's electric control cabinet. It communicates with the PLC via PROFINET or Modbus TCP, delivering true plug-and-play functionality—no modifications to existing PLC programs are required to begin data acquisition. The system collects 30+ parameters including lifting capacity, stroke position, travel speed, motor current and temperature, VFD status, and fault codes, with 1-second real-time data upload and 100ms local alert response.
The cloud platform runs on Alibaba Cloud ECS servers, using an InfluxDB time-series database for historical data storage, and is equipped with an alert engine and OEE analysis module. The alert engine supports three-tier push notifications: attention-level alerts to maintenance personnel via WeChat Work, warning-level alerts to workshop supervisors, and critical-level alerts to the plant manager and EHS department heads. The system also features an equipment health score model that automatically calculates a health score for each crane based on multi-dimensional parameters such as cumulative operating time, overload incidents, brake lining wear, and motor vibration.
Core Technical Indicators
The platform achieves industry-leading performance indicators: a single edge gateway supports simultaneous connection of up to 30 overhead cranes, data upload latency is under 500ms, historical data retention exceeds 3 years, and local cache capacity holds 72 hours of offline data. The edge gateway incorporates a time-series compression algorithm (swinging-door compression with a compression ratio of 8:1 to 15:1), keeping daily data upload per crane under 50MB—translating to a monthly cellular data cost of approximately 30 CNY (~$4.50) per crane over 4G/5G networks. On the security front, the platform supports OPC UA Basic256Sha256 encrypted transmission and X.509 mutual authentication, meeting industrial network security requirements.
For client-side adaptability, the platform offers both a web-based monitoring screen and a mobile app. The monitoring screen provides real-time location mapping for multiple cranes, key parameter dashboards, and OEE statistical reports. The mobile app supports alert push notifications, equipment status queries, and common fault handling guides. Scheduled reporting automatically generates daily, weekly, and monthly OEE statistics and trend analysis PDFs, delivered via email to designated recipients.
Platform Performance Parameter Comparison
| ParameterItem | Kruudremote monitoring platform | Traditional On-Premise Management Mode |
|---|---|---|
| data acquisitionMode | OPC UADirect ConnectionPLC,Automatic Data Acquisition | ManualInspection,Paper-Based Records |
| Alarm Response | Three-Level Push Notification(Millisecond-Level) | Manual Detection,Delayed by Hours |
| data storage | Cloud Storage3Years+ | Paper Archives,Prone to Loss |
| Remote Access | WebTerminal+mobile terminalAnytime, Anywhere | On-Site OnlyPendant ControlOperation |
| OEEAnalysis | Automatic Report Generation andtrend analysis | Manual Statistics,Low Efficiency |
3. Field Performance Results
The platform has been deployed across three workshops at Kelude, covering 12 overhead cranes. Trial run data shows that with real-time monitoring and alert push, mean time to repair (MTTR) for equipment failure dropped from 4.5 hours to 1.8 hours—a 60% reduction. Overall equipment effectiveness (OEE) improved from 72% to 81%. The platform is also integrated with Kelude's Safety Monitoring and Management System, enabling unified management of crane operating status and safety data.
The system supports multi-dimensional historical data analysis and an equipment health score model that automatically calculates a health score for each crane based on parameters such as cumulative operating time, overload events, brake lining wear, and motor vibration. When a score falls below 60, a maintenance work order is automatically generated and pushed to maintenance personnel, shifting the approach from reactive maintenance to Predictive Maintenance.
PLC Compatibility Comparison Across Brands
| PLCBrand | communication protocol | Data Point Count | Deployment Method |
|---|---|---|---|
| SiemensS7-1200/1500 | PROFINET/OPC UA | 32 | plug-and-play |
| SchneiderM580 | Modbus TCP/OPC UA | 28 | plug-and-play |
| MitsubishiQSeries | SLMP/OPC UA | 26 | plug-and-play |
| RockwellCompactLogix | EtherNet/IP/OPC UA | 30 | plug-and-play |
Future Roadmap
Kelude Heavy Industry plans to extend its remote monitoring platform with AI-driven Predictive Maintenance capabilities. By analyzing vibration patterns and temperature trends, the system will forecast the remaining life of critical components, further reducing unplanned downtime. The platform is designed in accordance with the ISO 4301 Crane Design Standard and GB/T 28264 Safety Monitoring and Management System for Lifting Appliances, ensuring consistent monitoring data and unified safety management practices. Free trial access to the platform is currently available upon request.
Frequently Asked Questions
Q: Does the remote monitoring platform require modifications to the existing PLC program?
A: No. The edge gateway comes with a pre-installed OPC UA server and communicates with the PLC via PROFINET or Modbus TCP. It is plug-and-play — no changes to your existing PLC program are needed to begin data acquisition.
Q: Does the platform support integration with third-party SCADA systems?
A: Yes. The platform is built on the OPC UA standard protocol and supports Modbus TCP gateway forwarding, allowing integration with third-party SCADA, Distributed Control System (DCS), and MES systems to meet industrial internet data ingestion requirements.
Q: Will data be lost if the network connection drops?
A: No. The edge gateway has a built-in 72-hour local cache. Data is automatically buffered to the onboard SD card during an outage and resumes uploading once connectivity is restored, ensuring complete data integrity.
Q: What is the deployment timeline and cost?
A: Installation & commissioning of the edge gateway for a single overhead crane takes approximately one business day, and the cloud platform account is activated immediately. Data transmission costs are approximately $4.50 per crane per month (based on 4G/5G connectivity). Free trial access is currently available.
To learn more about overhead crane digitalization and remote monitoring solutions, contact the Kelude technical team to request a free trial account and solution documentation.
Standard Basis: ISO 4301 Crane Design Specification | GB/T 28264 Safety Monitoring and Management System for Lifting Appliances
