Healthcare BMS Digital Twin for Environmental Compliance Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current building management systems (BMS) in healthcare facilities face challenges in efficiently controlling environmental conditions such as temperature, pressure, and humidity, particularly in patient rooms, which can lead to non-compliance with set bounds and affect patient care and safety.
Innovation Solution
The implementation of a BMS that utilizes digital twins and asset tracking engines to improve operational efficiency by conducting compliance checks, adapting to real-world data, and controlling building equipment to ensure optimal environmental conditions, including predictive analytics for pre-emptive corrective actions and smart room features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional BMS is used to control environmental conditions, then the system structure is simple, but compliance with environmental bounds cannot be ensured
Solution Approach 1:
The patent creates a digital twin (virtual copy) of the healthcare facility that mirrors the physical environment. This digital model allows for simulation, prediction, and compliance verification without altering the physical system structure, thereby ensuring environmental bound compliance while maintaining system simplicity.
Solution Approach 2:
The system performs predictive analytics and compliance checks in advance before environmental violations occur. By using the digital twin to simulate future states and identify potential non-compliance issues beforehand, the system can take preventive actions to ensure continuous compliance with environmental bounds.
2Reliability
If digital twins and predictive analytics are implemented, then environmental compliance is ensured, but computational resources and system complexity increase
Solution Approach 1:
The system applies predictive analytics and compliance monitoring selectively to critical environmental parameters and high-risk areas within the healthcare facility. By focusing computational resources on the most important variables rather than analyzing every parameter continuously, the system achieves reliable compliance while reducing overall computational energy consumption.
3Reliability
If continuous monitoring and compliance checks are performed, then patient safety is improved, but response time for corrective actions may be delayed
Solution Approach 1:
The digital twin system continuously simulates environmental conditions and predicts potential violations before they occur in the physical facility. By identifying and addressing compliance issues in the virtual model beforehand, the system enables proactive corrective actions that prevent patient safety risks rather than reacting after problems arise.
Solution Approach 2:
The system establishes a closed-loop feedback mechanism where compliance monitoring results are immediately fed back to control systems. When the digital twin detects potential environmental bound violations, automated feedback signals trigger corrective actions in real-time, minimizing the delay between detection and resolution while continuously maintaining patient safety.
Data Source
AI summary
A building management system includes one or more processing circuits and one or more non-transitory memory devices configured to store instructions thereon that, when executed by one or more processors, cause the one or more processors to: initialize a remote digital twin; input a remote request into the remote digital twin; conduct a remote digital twin compliance check based on the remote request using the remote digital twin; and provide a remote digital twin result.