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Core Business Scenario

Core Business Scenario
Device Data Acquisition

Device Access: Achieve convenient device access through a device template model, complete the initial configuration of device data acquisition settings, and lay the foundation for connecting device acquisition/control links.

Protocol Conversion: Establish a protocol parsing system for different controllers to unify protocols, providing standard interfaces for device docking of upper-layer applications and third-party platforms.
High Efficiency and Stability: Support stable and efficient operation of millions of data access 7×24 hours, with cloud-edge collaboration for centralized management and control. Seamless API integration with internal systems ensures error-free collection of billions of data daily, with real-time push of alarm and early warning information.
Convenience and Security: Based on military-grade security architecture, cloud-edge collaboration enables centralized acquisition and control management. Device alarm and early warning information are notified immediately, with unified access to driver standards and support for flexible protocol expansion, providing convenient operation and maintenance terminal services.



Device Data Acquisition Device Data Acquisition
Device-Level Digital Twin

Virtual-Real Mapping: Build high-precision 3D digital twin models based on real-time collected industrial device data, creating panoramic and immersive scene visualization.

Multi-Dimensional Construction: Quickly form multi-dimensional digital twin dashboards to intuitively present device status and operation trends. Support Web and mobile applications for anytime, anywhere access to key information.
Link Traceability: Provide full-process backtracking and recall capabilities for accidents, accurately locate the root cause of problems, and flexibly adapt to customers' diverse and complex industrial scene device application needs.


Device-Level Digital Twin Device-Level Digital Twin
Process Automation

Automated Production Closed-Loop Control: Automatic push of production progress and abnormal information; automatic verification and distribution of formula parameters; automatic distribution and confirmation of production tasks; automatic line stop in case of abnormalities and automatic equipment scheduling.

Automated Material Scheduling: Integrated scheduling of logistics equipment; delivery status and abnormal feedback; automatic retry of abnormal delivery tasks for efficient manual management.
Full-Process Monitoring of Production: Real-time monitoring of device status; real-time statistics of production progress; real-time feedback of on-site abnormalities.


Process Automation Process Automation
Refined Energy Efficiency Management and Control

Energy Data Transparency: Real-time monitor and manage building energy consumption through intelligent metering instruments, accurately track energy usage of key devices and areas, connect the entire energy chain, and realize intelligent collection of energy data.

Economic Energy Usage: Establish a device operation monitoring system to automatically control plant/workshop equipment, adjust in real time according to changing internal and external environments, and reduce energy waste.
Safe Energy Usage: Establish an early warning monitoring system to monitor system abnormalities in real time. Once equipment performance problems occur, notifications are triggered immediately to ensure rapid response and handling.

Refined Energy Efficiency Management and Control Refined Energy Efficiency Management and Control
Data Support

Multi-Source Heterogeneous Data Fusion: Support real-time collection and aggregation of data from multiple terminals, provide time-series data and object data storage capabilities, and uniformly manage massive terminal operation and maintenance data.

Real-Time Data Processing: Integrate discrete information from devices, production lines, and supply chains into a collaborative network using industrial data weaving technology. Capture time trajectories of key parameters through time-series data aggregation to optimize production, and integrate soft PLC logic scheduling to achieve flexible control and millisecond-level response.

Intelligent Decision-Making Closed-Loop: From real-time data collection by device sensors, to rapid analysis by AI algorithms to generate decision-making instructions, and then to immediate response and adjustment by execution terminals, achieving millisecond-level operation.


Data Support Data Support
Core Business Scenario

Device Access: Achieve convenient device access through a device template model, complete the initial configuration of device data acquisition settings, and lay the foundation for connecting device acquisition/control links.

Protocol Conversion: Establish a protocol parsing system for different controllers to unify protocols, providing standard interfaces for device docking of upper-layer applications and third-party platforms.
High Efficiency and Stability: Support stable and efficient operation of millions of data access 7×24 hours, with cloud-edge collaboration for centralized management and control. Seamless API integration with internal systems ensures error-free collection of billions of data daily, with real-time push of alarm and early warning information.
Convenience and Security: Based on military-grade security architecture, cloud-edge collaboration enables centralized acquisition and control management. Device alarm and early warning information are notified immediately, with unified access to driver standards and support for flexible protocol expansion, providing convenient operation and maintenance terminal services.



Core Business Scenario
Device Data Acquisition

Device Access: Achieve convenient device access through a device template model, complete the initial configuration of device data acquisition settings, and lay the foundation for connecting device acquisition/control links.

Protocol Conversion: Establish a protocol parsing system for different controllers to unify protocols, providing standard interfaces for device docking of upper-layer applications and third-party platforms.
High Efficiency and Stability: Support stable and efficient operation of millions of data access 7×24 hours, with cloud-edge collaboration for centralized management and control. Seamless API integration with internal systems ensures error-free collection of billions of data daily, with real-time push of alarm and early warning information.
Convenience and Security: Based on military-grade security architecture, cloud-edge collaboration enables centralized acquisition and control management. Device alarm and early warning information are notified immediately, with unified access to driver standards and support for flexible protocol expansion, providing convenient operation and maintenance terminal services.



Device-Level Digital Twin

Virtual-Real Mapping: Build high-precision 3D digital twin models based on real-time collected industrial device data, creating panoramic and immersive scene visualization.

Multi-Dimensional Construction: Quickly form multi-dimensional digital twin dashboards to intuitively present device status and operation trends. Support Web and mobile applications for anytime, anywhere access to key information.
Link Traceability: Provide full-process backtracking and recall capabilities for accidents, accurately locate the root cause of problems, and flexibly adapt to customers' diverse and complex industrial scene device application needs.


Process Automation

Automated Production Closed-Loop Control: Automatic push of production progress and abnormal information; automatic verification and distribution of formula parameters; automatic distribution and confirmation of production tasks; automatic line stop in case of abnormalities and automatic equipment scheduling.

Automated Material Scheduling: Integrated scheduling of logistics equipment; delivery status and abnormal feedback; automatic retry of abnormal delivery tasks for efficient manual management.
Full-Process Monitoring of Production: Real-time monitoring of device status; real-time statistics of production progress; real-time feedback of on-site abnormalities.


Refined Energy Efficiency Management and Control

Energy Data Transparency: Real-time monitor and manage building energy consumption through intelligent metering instruments, accurately track energy usage of key devices and areas, connect the entire energy chain, and realize intelligent collection of energy data.

Economic Energy Usage: Establish a device operation monitoring system to automatically control plant/workshop equipment, adjust in real time according to changing internal and external environments, and reduce energy waste.
Safe Energy Usage: Establish an early warning monitoring system to monitor system abnormalities in real time. Once equipment performance problems occur, notifications are triggered immediately to ensure rapid response and handling.

Data Support

Multi-Source Heterogeneous Data Fusion: Support real-time collection and aggregation of data from multiple terminals, provide time-series data and object data storage capabilities, and uniformly manage massive terminal operation and maintenance data.

Real-Time Data Processing: Integrate discrete information from devices, production lines, and supply chains into a collaborative network using industrial data weaving technology. Capture time trajectories of key parameters through time-series data aggregation to optimize production, and integrate soft PLC logic scheduling to achieve flexible control and millisecond-level response.

Intelligent Decision-Making Closed-Loop: From real-time data collection by device sensors, to rapid analysis by AI algorithms to generate decision-making instructions, and then to immediate response and adjustment by execution terminals, achieving millisecond-level operation.


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