Smart building level control for improving compliance of temperature, pressure, and humidity

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Solution Overview

Problem

Hospitals face challenges in maintaining compliance with temperature, pressure, and humidity (TPH) standards, leading to potential disruptions in operations and loss of reimbursement due to frequent inspections and non-compliance issues, which existing monitoring systems fail to address effectively.

Innovation Solution

A building management system (BMS) that includes processing circuits and sensor arrays to predict and maintain TPH within compliance standards by using predictive models based on real-time data from target and adjacent areas, with the ability to update models, identify compliance issues, and control HVAC equipment.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional monitoring systems are used to check TPH compliance, then inspection coverage is limited and reactive, but system complexity and cost increase without improving compliance assurance

Engineering Contradiction:
Improvecompliance assuranceVSAvoidmonitoring system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system executes a predictive model to forecast future TPH values before compliance violations occur. This preliminary action allows the system to anticipate compliance issues and trigger preventive HVAC adjustments, transitioning from reactive monitoring to proactive compliance management.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system implements a closed-loop feedback mechanism where predicted TPH values are continuously compared against compliance standards, and HVAC equipment is automatically adjusted based on these comparisons. This feedback loop ensures continuous compliance while reducing the need for complex manual monitoring systems.

Inventive Principle:
Principle #23Feedback

2Reliability

If frequent manual compliance checks are performed, then compliance issues are detected earlier, but operational disruption and time loss increase

Engineering Contradiction:
Improvecompliance detection timelinessVSAvoidoperational downtime
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system performs self-monitoring and self-correction by automatically comparing predicted TPH values against compliance standards and triggering HVAC adjustments without human intervention. This eliminates the need for manual compliance checks while maintaining continuous compliance assurance.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The predictive model operates continuously, constantly forecasting TPH values and comparing them against compliance standards. This continuous operation ensures uninterrupted compliance monitoring and immediate response to potential violations, eliminating gaps between manual checks.

Inventive Principle:
Principle #20Continuity of useful action

3Speed

If HVAC equipment is controlled based on real-time sensor data only, then response to current conditions is fast, but predictive compliance management is insufficient

Engineering Contradiction:
Improveresponse speedVSAvoidcompliance prediction accuracy
Core Design Contradiction:
SpeedVSReliability

Solution Approach 1:

The system executes a predictive model that forecasts future TPH values based on historical data, current sensor readings, and environmental factors. This preliminary prediction allows the system to anticipate compliance issues before they occur, enabling proactive HVAC control rather than merely reacting to current conditions.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The predictive model incorporates multiple parameters including historical TPH data, current sensor readings, weather conditions, and HVAC operational status. By analyzing changes in these parameters over time, the system can predict future compliance status and adjust HVAC settings accordingly.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS11698205B2Smart building level control for improving compliance of temperature, pressure, and humidity
Publication Date: 2023.07.11 TYCO FIRE & SECURITY GMBH
  • US11698205B2 patent drawing
  • US11698205B2 patent drawing
  • US11698205B2 patent drawing

AI summary

A building management system for monitoring and controlling HVAC parameters in a building includes one or more processing circuits configured to initialize a predictive model for predicting temperature, pressure, and humidity within a target area and an adjacent area of the building, receive target area data from a target area sensor array configured to measure temperature, pressure, and humidity of the target area, receive adjacent area data from an adjacent area sensor array configured to measure temperature, pressure, and humidity of the adjacent area, execute the predictive model based on the target area data and the adjacent area data to generate a prediction of future temperature, pressure, and humidity within the target area, and control operation of HVAC equipment to maintain the temperature, pressure, and humidity of the target area within a compliance standard.