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Make smarter and data-driven Decisions
Data doesn’t create value without action. To save time and money you need a proactive solution that does the hard work for you and leads you to the right decisions. dTwin delivers insights and tools which enable you to monitor, report, plan and optimize your built assets. Predictions and simulations help you to be prepared for all eventualities.
How can technology improve your decision making?
As an expert in your field, you have extensive experience to help you make decisions. But technology can bring your decision making to a new level. Smart platforms can monitor, simulate, predict, and optimise. They can identify problems and anomalies by analyzing and comparing the large volumes of available data.
And wouldn't it be helpful if you knew what the consequences would be before making a decision? Technology can simulate various scenarios and incidents, helping to find the best solutions. Additionally, it can evaluate a building’s past and present to predict its future. Ultimately, this leads to better, data-driven decision-making and improved building performance.
How dTwin improves your decision making:
1. Real-time reporting and monitoring: Data from IoT sensors, Building Management Systems and other sources is connected and provides real-time insights.
2. Historical and contextual data insights: Data from different sources is put into context and gives insights about your assets presence and past.
3. AI powered learnings: dTwin uses AI to learn from your building's historical data to predict the future.
4. Highlighting problems: As soon as a problem occurs, dTwin is highlighting it enabling you to solve it in time.
5. Explaining anomalies: When there is something unexpected in your building's performance dTwin highlights it and explains why this is unusual.
dTwin Management Functionalities
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With dTwin you can plan tasks and workorders and assign them to your colleagues and subcontractors.
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dTwin allows you to simulate energy consumption, emrgency routes and other incidents to optimize the set-up of your built assets.
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Connected contextual data from all your systems and devices substitute your gut feeling as basis for your decisions.
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dTwin analyzes data from to predict equipment failures before they occur, allowing for timely maintenance and reducing downtime
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dTwin can identify inefficiencies retrofitting can address, visualizes and plan your refurbishment projects and simulate their effects.
Decision Making Use Cases
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How to optimize energy consumption and reduce costs? IoT Sensors provide real-time data on energy consumption. AI-Based Predictive Analytics forecast energy demand and optimize HVAC and lighting schedules.
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When to perform maintenance to prevent equipment failures? IoT-Enabled Monitoring track equipment performance (e.g., vibration, temperature, and pressure). Machine Learning Models predict failures before they occur. Potential issues are simulated and identified in systems virtually. Maintenance tasks are scheduled automatically based on sensor data.
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How to optimize the use of available space? Occupancy Sensors track real-time usage of rooms and workspaces. Analytics Dashboards provide insights into underutilized or overcrowded spaces. Space layouts are visualized and redesigned for better efficiency.
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AI-Enhanced Surveillance detect suspicious activities in real-time. IoT Security Sensors alert for unauthorized access, smoke, or leaks. Emergency Response Systems automatically activate alarms and guide evacuations.
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How to plan for future upgrades or expansions? Lifecycle Cost Analysis Tools evaluate the cost of upgrades over time. The financial impact of renovations is simulated via the BIM model. Data Analytics use historical data to predict future needs.
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How to manage operations across multiple buildings? The management of multiple properties is centralized on one cloud-based platform. IoT Dashboards aggregate data from different locations. AI Analytics compare performance metrics across sites.
dTwin leads you to the right Decisions
dTwin provides real-time and historical data and put it into context to enable data-funded decision making. It leverages AI to predict future developments and to simulate incidents and changes. Problems are highlighted and anomalies are explained.
dTwin has tools for task and workorder management, for predictive maintenance and for retrofitting planning. It enables you to monitor, report, plan, predict and optimize your built assets. dTwin leads you to the best decions to manage your buildings and save time and money.
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Customer story
Bringing Efficiency and Sustainability to existing Buildings
Property portfolio manager BENO is using Nemetschek dTwin to create digital twins of its existing buildings. Not only does this make property management much more efficient, but the company also saves time and money, while reducing its CO² emissions.
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