Cognitive solution for microenvironment
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Solution Overview
Problem
Current microenvironments, such as buildings and homes, lack the ability to automatically adjust internal conditions based on external and internal environmental changes, leading to energy wastage and potential health issues due to inadequate handling of allergens and air quality.
Innovation Solution
A cognitive system using a cognitive service in an infrastructural computing system that collects data from sensors and user profiles to determine optimal conditions for temperature, air quality, and energy efficiency, adjusting devices autonomously to maintain user preferences while minimizing energy consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If manual control systems and basic sensors are used in microenvironments, then users can detect and control temperature and air quality issues, but the system cannot automatically adjust itself leading to energy wastage
Solution Approach 1:
The microenvironment system performs self-service by automatically detecting environmental conditions through sensors and adjusting devices without requiring manual user intervention. The system monitors temperature, air quality, and occupancy levels, then autonomously controls HVAC systems, air purifiers, and other environmental devices to maintain optimal conditions while minimizing energy consumption.
Solution Approach 2:
The system implements continuous feedback loops where sensors constantly monitor environmental parameters (temperature, humidity, air quality, occupancy) and feed this data back to the control system. Based on this feedback, the system dynamically adjusts devices to maintain user-preferred conditions and optimize energy usage, preventing both energy wastage and uncomfortable environmental conditions.
2Reliability
If the system continuously monitors and adjusts microenvironment conditions to satisfy user preferences, then user comfort and air quality are improved, but energy consumption increases
Solution Approach 1:
The system applies partial action by adjusting environmental controls based on actual occupancy levels and real-time environmental conditions rather than continuous full-operation. When sensors detect that the microenvironment is already within acceptable ranges or when no occupants are present, the system reduces or suspends adjustments, thereby maintaining user comfort requirements while significantly reducing energy consumption during periods of low demand.
3Difficulty of detecting and measuring
If basic sensor systems are deployed to detect environmental issues, then users receive alerts about problems, but the system cannot initiate corrective actions
Solution Approach 1:
The system performs self-service by automatically detecting environmental conditions through sensors and adjusting devices without requiring manual user intervention. The system monitors temperature, air quality, and occupancy levels, then autonomously controls HVAC systems, air purifiers, and other environmental devices to maintain optimal conditions while minimizing energy consumption.
Data Source
AI summary
A method, a computer program product, and a computer system for providing a cognitive solution for maintaining a microenvironment. A cognitive service in an infrastructural computing system receives from a user computing device data of one or more sensors in the microenvironment. The cognitive service receives from the user computing device a profile of a user of the microenvironment. The cognitive service determines one or more current conditions of the microenvironment, based on the data of the one or more sensors. The cognitive service determines a cognitive solution for maintaining the microenvironment, based on the profile of the user and the one or more current conditions of the microenvironment. The cognitive service sends to the user computing device the cognitive solution. The user computing device adjusts one or more devices based on the cognitive solution.