On-Premises Digital Twin Routers for Building Incident Response
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Solution Overview
Problem
Existing technologies fail to provide real-time, actionable responses to incidents in building management systems, especially when cloud-based systems are unavailable due to power or network outages, leading to delayed and suboptimal incident management.
Innovation Solution
Implementing on-premises digital twin wireless routers (DTWRs) that utilize edge-based processing to generate and transmit real-time AI-based responses to building incidents, allowing for immediate and optimal incident management without reliance on cloud networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If cloud-based systems are used for incident management, then centralized control and data processing are improved, but system availability deteriorates when power or network outages occur
Solution Approach 1:
The system divides incident management functionality into distributed edge computing nodes deployed throughout the building. Each node independently processes local data and executes responses, eliminating single-point failures and maintaining operation during cloud disconnections.
Solution Approach 2:
Digital twins are pre-configured with incident response protocols and decision-making algorithms stored locally at edge devices. When incidents occur, these pre-loaded models enable immediate automated responses without requiring real-time cloud connectivity.
2Speed
If real-time incident response is implemented, then incident management speed is improved, but processing accuracy may deteriorate without comprehensive data analysis
Solution Approach 1:
The system creates digital twin copies of physical building systems and incidents. These virtual models allow rapid simulation and analysis of incident scenarios without delaying response, maintaining both speed and accuracy by processing data in the digital domain.
Solution Approach 2:
Comprehensive building data and incident response protocols are pre-loaded into digital twins before incidents occur. This preliminary preparation enables immediate accurate assessment and decision-making when incidents happen, without requiring time-consuming data collection or analysis.
Data Source
AI summary
Systems and methods for providing on-premises response to an incident impacting a space of a building are provided. One method includes storing digital twins of one or more on-premises building devices of the building in a memory device within the space. The digital twins include digital representations of the on-premises building devices including data relating to the on-premises building devices. The method further includes receiving, by one or more processors within the space, data relating to the incident impacting the space, processing the data using the digital twins stored in the memory device within the space to determine a response to the incident, and executing an action to implement the response to the incident.