Smart Operation & Maintenance System
Smart Operation & Maintenance System
Applying artificial intelligence to provide data information management for the maintenance phase of building and infrastructure operations. By integrating data from the design and construction phases, it provides comprehensive data support for intelligent operation and maintenance management, realizes cross-system correlation of engineering data, intelligently detects equipment hidden dangers, reduces equipment costs in projects, improves the safety of equipment and personnel during operation and maintenance, and extends the lifespan of buildings and equipment.

Inherits all data from design and construction phases; integrates multi-source heterogeneous data to build an operation and maintenance data center; provides data support for business processing and big data analysis in the operation and maintenance phase.

Information is related to spatial location; enables spatial relationship-based retrieval and business calculation; organizes operation and maintenance services based on 3D models, facilitating service positioning and processing.

Integrates equipment and sensor data from weak current systems; performs online data analysis for real-time sensing of equipment, environment, and accidents.

BIM+IOT+operation and maintenance trinity dynamic supervision; event traceability with spatial-temporal tracking.

Extracts management-related information from massive data; presents real-time 3D visualization on large screens.
Store and archive all data information throughout the equipment lifecycle. Search massive data across platforms with one click through the search box, quickly and accurately query information, realize BIM full lifecycle spatial-temporal traversal, and improve project personnel work efficiency.

The BIM+IoT+operation and maintenance trinity intelligent closed-loop management model will close the loop from equipment status monitoring and early warning, problem handling, ledger management, inspection and maintenance to normal status. The system automatically drives processes based on judgment algorithms, improving project safety and reducing labor costs.

Through NLP natural language processing and other technologies, manually input rule indicators. The system automatically adapts to dynamic data environments to establish evaluation systems, assisting in evaluating real-time equipment status, reducing manual intervention errors, and improving evaluation accuracy and decision-making scientificity.

Relying on BIM information models, personalized configuration displays sensor monitoring equipment operation data. Through central control customization, more flexible and intelligent human-machine interaction is achieved. Combined with AI and other technologies, massive equipment data is displayed at multiple levels, angles, and roles, realizing real-time data information control, improving project safety, and reducing personnel costs.

In indoor lighting scenarios, equipment operation monitoring and alarm counts are displayed. Remote switching of entire circuits and brightness adjustment are supported.

Record, statistical analysis, and evaluation of emergency events. Prepare ideologically, with plans, organizationally, and materially for public emergencies. Support uploading and online browsing/downloading of plans and laws/regulations.

Record purchased and consumed equipment and facilities, statistics by different dimensions. Through data analysis and evaluation, obtain more reasonable replacement cycles, storage locations, and inventory quantities for spare parts. View equipment information and maintenance status directly via QR code scanning with cloud printers.
