Environmental equipment control apparatus
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Solution Overview
Problem
Existing environmental equipment control systems face challenges in efficiently managing the complex interplay of factors like illuminance, temperature, and humidity to optimize physical and mental states, leading to a high computational load and impracticality in achieving target states due to the complexity of simulating multiple influencing factors.
Innovation Solution
An environmental equipment control apparatus that includes a grasping unit for collecting user state information, a learning control plan output unit to generate control plans based on current and target states, and a selection unit to execute optimized plans, utilizing neural networks to reduce computational complexity and prevent undesired control changes, while allowing user input for exclusion conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex simulation is performed to examine the influence of each factor on the physical and mental state of the user, then the accuracy of controlling environmental equipment is improved, but the amount of information processing becomes very enormous
Solution Approach 1:
The patent segments the complex control problem into multiple simpler control plans, each addressing specific combinations of environmental factors (illuminance, temperature, humidity) and their individual influences on user state, rather than processing all factors simultaneously in a single complex simulation
Solution Approach 2:
The patent performs preliminary analysis by pre-establishing control plans for different combinations of environmental factors before actual control execution, so that when control is needed, the system can select from pre-prepared plans rather than performing complex real-time simulations
2Measurement precision
If a model of simulation incorporating all factors is created, then the accuracy of predicting physical and mental state changes is improved, but the computation load becomes very enormous
Solution Approach 1:
The patent divides the comprehensive simulation model into multiple simpler sub-models, each handling specific combinations of environmental factors (lighting, air conditioning, etc.) and their effects on user state, reducing the computational burden of each individual model while maintaining overall accuracy
Solution Approach 2:
The patent applies partial action by creating multiple control plans that each address specific subsets of environmental factors rather than one comprehensive plan covering all factors, allowing the system to select the most relevant plan for the current situation without processing all factors
3Adaptability or versatility
If multiple control plans are generated for combinations of environmental equipment, then the adaptability of the control system is improved, but the complexity of selecting the optimal plan increases
Solution Approach 1:
The patent implements feedback by monitoring the user's actual physical and mental state changes after executing control plans, and using this feedback to refine future plan selections and updates the control plans themselves, creating a learning system that reduces selection complexity over time
Solution Approach 2:
The patent performs preliminary generation and organization of multiple control plans for different environmental equipment combinations before actual control execution, structuring them in advance so that selection during operation is simpler and more efficient
Data Source
AI summary
An environmental equipment control apparatus for controlling a plurality of types of environmental equipment includes a grasping unit that grasps current physical and mental state information of the user, environmental situation information, and target relationship information representing a relationship between a target physical and mental state and a current physical and mental state; learning control plan output means that outputs a control change plan for each of combinations of the plurality of types of environmental equipment in accordance with the current physical and mental state information, the environmental situation information, and the target relationship information; and a selection control unit that selects one control plan from among a plurality of control plans output by the learning control plan output means and executes the one control change plan. The learning control plan output means learns to update a method for specifying the control plan to be output.