Lower-risk decisions
Test scenarios before acting in the real world.
RHF Digital Twin
Digital Twin Solutions
Test decisions on a digital replica of your assets and processes before making them in the real world.
Capability areas
- Asset modeling
- Live synchronization
- Scenario simulation
- Predictive maintenance
- 3D and spatial views
- Ask the twin
01Introduction
- Solution family
- IoT, Robotics & Digital Twin
RHF Digital Twin creates a living digital replica of assets, facilities, production lines or parts of a city, kept current by sensor and system data. Leaders and engineers can monitor conditions, simulate system behavior and evaluate decisions before acting.
02Challenges
The business challenges this platform addresses
Decisions about expensive assets made without a way to test the consequences.
Incomplete visibility into the real condition of complex equipment and facilities.
The high cost of trial and error in the real environment.
03Business value
Four core business benefits
Predictive maintenance
Early detection of failure signals.
Performance optimization
Find better settings for energy use and capacity.
Shared understanding
A common visual language for engineers, leaders and stakeholders.
04Capabilities
Six solution capability areas
Asset modeling
Digital representation of equipment, facilities and their relationships.
Live synchronization
Keeps the model current with sensor and system data.
Scenario simulation
Evaluates the impact of changes and events before they happen.
Predictive maintenance
Condition analysis and optimal maintenance timing.
3D and spatial views
Status displayed on 3D models and maps.
Ask the twin
What-if questions in natural language.
05Intelligent interaction
A conversation with the AI assistant
A conceptual example of the AI-native experience in this platform: an authorized user asks in natural language and receives a referenced answer that can be reviewed.
Conceptual interaction · Product vision
RHF Assistant
RHF Digital Twin
Authorized user
If pump three at the station is taken offline for repairs, how will network pressure change during peak hours?
RHF Assistant
The simulation shows that with pump three offline, pressure in two outlying zones drops below the target level at peak hours. Temporarily increasing the capacity of the standby pumps largely offsets the drop. I recommend scheduling the repair during off-peak hours.
Sensitive actions require approval by the responsible person before execution.
06Data governance & trust
Your data, under your control
Operational infrastructure data is protected with the highest security level and network segregation. Simulation results are presented with their model assumptions, and no command is sent from the digital twin to real equipment without human approval and control.
- Role-based access
- Answers referenced to data sources
- Complete event logging for audit
- Human approval for sensitive actions
07Target industries
Designed for these industries
08FAQ
Answers to common questions
What data is needed to build a digital twin?
Typically engineering information about assets, operational data and sensor data; exact requirements are defined in a feasibility study.
Do we need to model the whole organization from the start?
No. We recommend starting with one high-value asset or process and expanding gradually.
How does the digital twin relate to IoT Hub?
IoT Hub supplies live equipment data, which the digital twin uses for monitoring and simulation.
Next step
Request a Professional Solution Consultation
In a consultation session, we review the challenges and priorities of your organization and define the right implementation scope for RHF Digital Twin together.
Some capabilities described here are part of the RHF product vision and roadmap; the availability of each capability is confirmed during the solution consultation.