Ambience Control System with Predictive Gradual Transition
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Solution Overview
Problem
Existing ambience rendering systems in environments like hospitals struggle to balance patient recovery needs with staff operational requirements, as sudden changes in lighting or ambiance can be unpleasant for patients and disrupt care tasks, necessitating a system that predicts events and adapts ambiance accordingly.
Innovation Solution
An ambience control system that uses data storage and a processor to determine the estimated time to upcoming events, employing event occurrence detection units and people position devices to gradually adjust ambiance settings, incorporating lighting, scent, and climate control devices to match predicted ambience states, ensuring optimal conditions for both patients and staff.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the ambience is suddenly changed to match the next event state, then the ambience becomes optimal for the upcoming event, but the current user experiences unpleasant sudden changes
Solution Approach 1:
The system performs preliminary action by predicting upcoming events and initiating ambience changes in advance. The processor determines the estimated time to the next event and starts gradual ambience adaptation before the event occurs, allowing the ambience to transition smoothly to the optimal state without sudden changes that would discomfort current users.
Solution Approach 2:
The system applies dynamics by implementing gradual ambience transition instead of instantaneous switching. The ambience rendering system continuously adjusts parameters such as lighting intensity and temperature over time, creating a dynamic transition process that balances the need for adaptability with user comfort during the transition period.
2Productivity
If the ambience changes quickly to support staff tasks, then operational efficiency improves, but patient comfort deteriorates due to sudden changes
Solution Approach 1:
The system predicts staff arrival and initiates ambience preparation in advance, determining the estimated time to the next event based on historical data and current context. This preliminary action allows the ambience to be ready for staff tasks without requiring sudden changes at the moment of arrival, thus maintaining both operational efficiency and patient comfort.
Solution Approach 2:
The ambience rendering system implements dynamic gradual transition to adjust lighting, temperature, and other environmental parameters over time. This dynamic approach enables the system to prepare the environment for staff tasks while avoiding abrupt changes that would discomfort patients, thereby maintaining both productivity and comfort.
3Object-affected harmful factors
If the system waits for event occurrence to change ambience, then patient comfort is maintained, but staff operational efficiency decreases due to delayed ambience preparation
Solution Approach 1:
The system performs preliminary action by predicting upcoming events and initiating ambience changes before the events occur. The processor calculates the estimated time to the next event and starts the gradual transition, allowing the ambience to be prepared in advance without causing sudden changes to patients, thus eliminating delays while maintaining comfort.
Solution Approach 2:
The system uses dynamic gradual transition to continuously adjust the ambience over time toward the target state corresponding to the predicted event. This dynamic process allows the system to prepare the environment in advance without abrupt changes, maintaining patient comfort while avoiding time loss by having the ambience ready before staff arrival.
Data Source
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AI summary
The present invention relates to a method of operating an ambience control system (10) comprising an ambience rendering system (14) configured to adapt the ambience in an area (16) so as to establish a current ambience state, a data storage (12) comprising data relating to occurrence of events and ambience states, each of the events being associated with a specific ambience state, and a processor configured to determine estimated time to next event based on the data relating to occurrence of events, provided that the next event relates to an ambience state different from the current ambience state the ambience rendering system (14) (10) being configured to gradually adapt the ambience in the area (16) to match the next ambient state, the method comprising determining current ambience state, determining estimated time to next event, and operating the area (16) ambience system (10) based on the estimated time to next event. The present invention further relates to an ambience control system (10) comprising a data storage (12) comprising data relating to occurrence of events and ambience states, the events being associated with a specific ambience state, an ambience rendering system (14) configured to adapt the ambience in an area (16) corresponding to the specific ambience state, a processor configured to determine estimated time to next event based on the data relating to occurrence of event, provided that the next event relates to an ambience state being different from the current ambience state the area ambience system being configured to gradually adapt the ambience in the area (16) to match the next ambient state.