微精灵 3.4.8

The implementation of Internet of Things (IoT) big data applications involves cross-team collaboration to dismantle information silos, ensuring a more seamless flow of task coordination. By leveraging comprehensive foundational data and integrating device data sources, we facilitate an information flow that encompasses devices, data, and personnel management. This system supports intelligent monitoring and automatic dispatching, thereby reducing both cognitive and physical workload.

AI Intelligent Algorithm Models include:

• Traceability: Identifying sources of data anomalies or over-limit conditions
• Early Warning: Detecting risks proactively to enable preventive measures
• Control: Prompt notifications of over-limit events to ensure timely management
• Reporting: Real-time dissemination of the latest data updates

Work Order-Based Communication Features:

• Customizable communication groups with multiple options for collaborative messaging
• Work order communication that ensures task deliverables are clearly tracked and managed
• Visibility of communication status to facilitate project reviews and post-project analysis

Emphasis on Data Visualization:

• Customizable operational objectives with real-time display of key indicators
• Historical data presentation for comparative analysis over corresponding periods
• Focus on results driven by metric achievement status

Additional Capabilities Include:

• Comprehensive foundational data infrastructure
• IoT intelligent terminal technology
• IoT platform technology
• Artificial Intelligence (AI) integration

If you have any questions, please do not hesitate to contact us. We welcome your feedback and suggestions.