鲁尔物联-智能硬件

Intelligent Hardware

Deformation Crack Rain Soil Moisture Sensor Water Level Pressure Environment Communication Terminal Alarm Gas Network

AI Products

AI Data Annotation Platform Ruhr Model Ruhr Agent Model & Computing Power Integrated Appliance

Urban Safety Natural Resources Infrastructure

Urban Safety

Geo-Hazards Open-Pit Mines Tailings Ponds Small Watersheds

Hydraulic Engineering

Hilly Pond Reservoir

Underground Network

Gas Network Water Delivery Network Sewage Network Utility Tunnel

Transportation Facilities

Roads Bridges Tunnels Railways Subway and Light Rail Highway Slope

Construction Safety

High-Rise Building Old Communities Dilapidated Houses

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Ruhr Model

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Platform Introduction Platform Architecture Key Features Platform Advantages Typical Cases

Platform Introduction

The Ruhr Safety-IoT Model is an AI model system trained on a foundation large model, focused on the environment-physics domain and the customised industries of these models. By integrating industry expert experience and knowledge, the model verifies in sequence application areas such as environmental safety monitoring, IoT safety monitoring, and production-safety assessment, providing intelligent-large-model support.

Platform Architecture

Key Features

Precise Identification of Disaster Hazards

Combined expert-knowledge analysis, building a precise intelligent prediction model to effectively identify disaster prediction and precise prevention

Single-object and Regional Disaster Warning

Identifies regional disaster weather, precise auxiliary support, providing accurate warning of regional risk

Engineering Operation-status Assessment

Real-time monitoring of project health, providing situational assessment and decision support.

Predictive Maintenance Decision Support

Smart pre-warning-decision integration, providing comprehensive predictive maintenance from inspection to decision

Platform Advantages

High Specialisation

Deep collaboration with industry experts, model training closely matching industry.
High Depth

Built model architecture combining explicit & implicit multi-dimensional integrated-end safety-monitoring.
High Efficiency

Supported by end-cloud collaboration, adapt to different complex business needs.
High Extension

Supports large-model fine-tuning post-training, stable integration with business.