DataArrows Inc. (20240377797). ENTITY-BASED DIGITAL TWIN ARCHITECTURE simplified abstract
Contents
ENTITY-BASED DIGITAL TWIN ARCHITECTURE
Organization Name
Inventor(s)
Issa Ramaji of Bristol RI (US)
Ehsan Mostavi of Bristol RI (US)
ENTITY-BASED DIGITAL TWIN ARCHITECTURE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240377797 titled 'ENTITY-BASED DIGITAL TWIN ARCHITECTURE
The abstract describes systems, methods, and apparatus for building management that improve decision-making effectiveness and efficiency by modeling and managing a building on an entity level.
- The method involves dividing the building and its related information into entities for better management.
- Management results are presented in 2D, 3D, or augmented reality representations.
- Predictive artificial intelligence models are used to manage buildings on an entity level.
- The predictive AI model is a multi-input multi-output system.
- Potential Applications:**
This technology can be applied in various industries such as real estate, facility management, and smart building solutions.
- Problems Solved:**
This technology addresses the challenges of traditional building management systems by providing a more detailed and efficient approach to managing buildings.
- Benefits:**
The benefits of this technology include improved decision-making, enhanced efficiency in building management, and better utilization of resources.
- Commercial Applications:**
This technology can be used in commercial real estate management, smart city development, and facility maintenance services, offering innovative solutions for efficient building management.
- Questions about Building Management:**
1. How does this technology improve decision-making in building management?
- This technology improves decision-making by providing a detailed entity-level approach to managing buildings, allowing for better insights and predictions.
2. What are the potential applications of predictive AI models in building management?
- Predictive AI models can be used to optimize building operations, predict maintenance needs, and enhance overall efficiency in building management.
Original Abstract Submitted
systems, methods, and apparatus for building management are described. the methods, among other benefits, improve the decision-making effectiveness and efficiency of entity-based building management. an example method includes modeling and managing a building on an entity level by dividing the building and its related information into one or more entities, where a management result is presented in a two-dimensional (2d) representation, a three-dimensional (3d) representation, or an augmented reality (ar) representation. another example method includes using a predictive artificial intelligence (ai) model to manage a building on an entity level by dividing the building and its related information into one or more entities, where the predictive ai model is a multi-input multi-output system.
