Industrial Internet · IoT Solutions

Solve Digital Transformation Challenges
for Manufacturing Enterprises

Difficulties in equipment data collection? Unclear production status? Data silos?
We provide complete solutions including SCAEdge edge computing platform, industrial gateways, and system integration,
making your factory equipment data visible in real-time and production management more intelligent.

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sale@gonleon.com

Product Distribution & Service Support

GonLeon Technology is an authorized product distributor and service provider of Wuxi Lingding Technology Co., Ltd.,
providing sales, deployment, secondary development, project delivery, and long-term maintenance services for SCAEdge, SCA-IOT2050, SCANET and other products to small and medium-sized enterprise customers.

We not only provide products, but also complete technical support and project delivery services,
helping you quickly deploy industrial internet solutions and achieve digital transformation goals.

Learn about the Original Manufacturer · Lingding Technology SCAPEAK ↗

Are You Facing These Challenges?

Common pain points in digital transformation for manufacturing enterprises

Difficult Equipment Data Collection

Diverse equipment brands with non-uniform protocols make unified data collection impossible; scattered equipment data makes real-time monitoring difficult.

  • Multiple PLC brands with non-uniform protocols
  • Data scattered across various equipment
  • Unable to understand equipment status in real-time
  • Lack of historical data accumulation

Unclear Production Status

Unclear production status prevents real-time understanding of production line operations; lack of visual dashboards makes quick decision-making difficult for management.

  • Unknown current production line status
  • Delayed equipment fault detection
  • Lack of visual monitoring dashboards
  • Decisions rely on manual reporting

System Data Silos

Existing systems (ERP, MES, WMS) form data silos; data cannot be shared between systems; a unified data platform is needed.

  • Data cannot be shared between systems
  • Requires duplicate data entry
  • Data inconsistency issues
  • Unable to form unified analysis

What Can We Do for You?

Provide complete industrial internet solutions to solve your core problems

Unified Equipment Data Collection

Through SCA-IOT2050 industrial gateway, unified access to multiple PLC devices, supporting mainstream industrial protocols such as Modbus, OPC UA, S7.

  • Support multiple industrial protocol conversion
  • Real-time data collection and cloud synchronization
  • Establish equipment data warehouse
  • Support historical query and analysis

Real-time Production Monitoring

SCAEdge edge computing platform provides real-time data monitoring, visual large-screen display of production key indicators, and real-time equipment status alerts.

  • Real-time data monitoring and display
  • Visual large-screen dashboards
  • Real-time equipment status alerts
  • Mobile access anytime

System Integration & Data Connectivity

Provide standard API interfaces, connect existing systems, data format conversion and mapping, unified data platform to integrate multi-system data.

  • Integration with ERP, MES, WMS
  • Data format conversion and mapping
  • Unified data platform
  • Support secondary development and customization

What Value Can We Bring?

Deliver tangible benefits to your manufacturing enterprise

Improve Production Efficiency

Real-time monitoring of equipment status, rapid fault detection, reduced downtime, improved equipment utilization.

  • Equipment fault response time reduced by 60%
  • Equipment utilization increased by 15-20%
  • Reduce unplanned downtime

Reduce Operating Costs

Edge computing reduces cloud data transmission, lowering bandwidth costs; automated data collection reduces labor costs.

  • Bandwidth costs reduced by 30-50%
  • Reduce manual data entry work
  • Optimize energy consumption management

Improve Decision Quality

Data is visible in real-time, visual dashboards support quick decisions; historical data analysis supports trend prediction and optimization.

  • Improved decision response speed
  • Data-driven scientific decisions
  • Support predictive maintenance

Enhance Product Quality

Establish complete data collection chain, correlate production data with quality data, support quality traceability and analysis.

  • More complete quality traceability
  • Rapid quality issue identification
  • Support process optimization