IoT+AI Services
IoT data collection combined with AI analysis and decision-making to turn device data into value. Enable predictive maintenance, energy optimization, and quality alerts.
Book a Free DiagnosticCore Capabilities
End-to-end industrial intelligence solutions from data acquisition to AI decision-making
Device Data Acquisition
Full protocol access for PLCs, sensors, gateways, and MES, supporting industrial protocols such as Modbus, OPC-UA, and MQTT.
Edge Anomaly Detection
Real-time edge inference with millisecond-level anomaly detection, reducing cloud latency and bandwidth costs.
Predictive Maintenance
Based on time-series data like vibration, temperature, and current, provide 48-hour advance warning of equipment failure.
Energy Consumption Optimization
AI models identify energy anomalies and optimization opportunities, achieving 15%-30% average energy savings.
Intelligent Alarm Linkage
Multi-source alarm aggregation, root cause analysis, and automatic work order dispatch; alarm response time reduced by 80%.
Quality Warning
Real-time process parameter monitoring and quality prediction, reducing defect rate by over 50%.
Edge-Cloud Collaborative Architecture
Adopting a four-layer architecture of Device-Edge-Platform-Application, with real-time inference and offline retransmission at the edge, and model training and global optimization in the cloud, balancing real-time performance and intelligence.
- Full protocol coverage: Modbus / OPC-UA / MQTT
- Edge AI inference with millisecond response
- Offline retransmission for zero data loss
- Digital twin visualization
Implementation Process
From site survey to continuous iteration, professional teams guide every step
Site Survey
Understand equipment models, communication protocols, and current data collection status to formulate an access plan.
Data Collection Deployment
Install gateways, configure protocol adaptation, and enable real-time device data upload.
AI Model Training
Train predictive models based on historical data, with cross-validation to ensure accuracy.
System Integration & Launch
Deploy monitoring dashboards, alarm rules, and work order linkage, then launch after gray validation.
Continuous Iteration
Online model learning, onboarding new devices, and ongoing feature optimization.
Industry Scenarios
AIoT solutions validated across multiple industries
Manufacturing Plant
Scenario：Production line predictive maintenance
Unplanned downtime reduced by 70%, annual maintenance cost savings over 2 million
Energy Management
Scenario：Factory energy consumption optimization
Total energy consumption decreased by 22%, carbon emissions by 18%
Safety Production
Scenario：Real-time monitoring of hazardous chemical areas
Leak risk identified 30 minutes in advance, zero safety incidents
Unlock Value from Device Data
Book a free diagnostic; our IoT+AI experts will assess your device data value on-site.
Book a Free Diagnostic