GonLeon Technology helps manufacturing enterprises solve core problems in digital transformation, providing end-to-end industrial internet solutions
Equipment Data Collection Challenges
Customer Pain Points:
Diverse equipment brands with non-uniform protocols make unified data collection impossible; equipment data is scattered, making real-time monitoring difficult; lack of historical data accumulation prevents data analysis.
- Unified access to multiple PLC devices through SCA-IOT2050 gateway
- Supports mainstream industrial protocols such as Modbus, OPC UA, S7
- Real-time data collection and cloud synchronization
- Establish equipment data warehouse, support historical query and analysis
Applicable Industries: Manufacturing, automotive parts, electronics manufacturing, machining
Production Monitoring & Visualization
Customer Pain Points:
Unclear production status prevents real-time understanding of production line operations; lack of visual dashboards makes quick decision-making difficult for management; delayed equipment fault detection affects production efficiency.
- SCAEdge platform provides real-time data monitoring
- Visual large-screen display of production key indicators
- Real-time equipment status alerts and notifications
- Mobile access to production data anytime
Applicable Industries: Discrete manufacturing, process industries, food processing, chemical production
Edge Computing & Intelligent Analysis
Customer Pain Points:
All data uploaded to cloud, network latency affects real-time performance; high cloud computing costs, large bandwidth usage; need for local rapid response, support edge decision-making.
- SCAEdge edge computing platform for local processing
- Real-time data analysis and anomaly detection
- Reduce cloud data transmission, lower bandwidth costs
- Support edge AI model deployment and inference
Applicable Industries: Smart manufacturing, quality inspection, predictive maintenance, energy optimization
Device Cloud Connection & Remote Monitoring
Customer Pain Points:
Difficult to manage multiple factories and scattered equipment; unable to remotely monitor equipment status; equipment faults require on-site troubleshooting with long response times.
- Unified device data cloud connection for centralized management
- Supports Azure IoT Hub, Alibaba Cloud IoT and other platforms
- Remote equipment monitoring and diagnostics
- Mobile access to equipment status anytime, anywhere
Applicable Industries: Multi-factory enterprises, equipment leasing, remote maintenance, after-sales service
Quality Traceability & Data Analysis
Customer Pain Points:
Difficult to trace product quality issues; lack of production data analysis, unable to optimize processes; quality data is scattered, unable to form effective analysis.
- Establish complete data collection chain
- Correlate production data with quality data
- Support data mining and trend analysis
- Automatic generation of quality traceability reports
Applicable Industries: Automotive manufacturing, food processing, pharmaceutical production, precision manufacturing
System Integration & Data Connectivity
Customer Pain Points:
Existing systems (ERP, MES, WMS) form data silos; data cannot be shared between systems; a unified data platform is needed.
- Provide standard API interfaces to connect existing systems
- Data format conversion and mapping
- Unified data platform to integrate multi-system data
- Support secondary development and customized integration
Applicable Industries: Medium and large manufacturing enterprises, system integrators, digital transformation projects