Environmental equipment control device
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Solution Overview
Problem
Existing environmental equipment control systems face challenges in efficiently managing the complex interplay of factors such as illuminance, temperature, and humidity to optimize the physical and mental state of users, leading to impractical and impossible control of multiple equipment systems to achieve target states due to enormous computation loads and lack of comprehensive simulation models.
Innovation Solution
An environmental equipment control apparatus that includes a grasping unit, learning control plan output means, and selection control unit, which processes current and target state information to output and select control change plans for multiple equipment types, using neural networks to learn and update control methods, excluding undesired plans, and incorporating various sensors for real-time adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If complex simulation is performed to examine the influence of each factor on the user's physical and mental state, then the control precision is improved, but the computation load becomes enormous
Solution Approach 1:
The patent segments the complex control problem into multiple simple one-dimensional control plans, each adjusting only one environmental factor (illuminance, temperature, or humidity) independently. This avoids the need for complex multi-factor simulations while still achieving effective control of the user's physical and mental state.
Solution Approach 2:
The patent changes the control approach from adjusting multiple parameters simultaneously to adjusting one parameter at a time. Each control plan focuses on a single environmental parameter, simplifying the computation required while maintaining control effectiveness through sequential or selective application of these simplified plans.
2Manufacturing precision
If comprehensive simulation model incorporating all factors is created, then the control precision is improved, but the device complexity increases
Solution Approach 1:
The patent divides the comprehensive simulation model into multiple simple, independent control plans, each handling a single environmental factor. This segmentation reduces system complexity while maintaining control precision by addressing each factor independently through dedicated control rules.
Solution Approach 2:
The patent creates a universal control framework that can handle multiple environmental factors through a common simple mechanism. The same basic control logic is applied across different factors (illuminance, temperature, humidity), reducing overall system complexity through reuse of proven simple control patterns.
3Reliability
If multiple environmental factors are adjusted simultaneously, then the control effectiveness is improved, but the computation load becomes enormous
Solution Approach 1:
The patent segments simultaneous multi-factor adjustment into separate one-dimensional control plans. Each plan adjusts only one factor, avoiding the computational complexity of simultaneous adjustment while maintaining control effectiveness through the coordinated application of multiple simple plans.
Solution Approach 2:
The patent applies partial action by implementing control plans that adjust only one factor at a time rather than all factors simultaneously. This partial adjustment approach reduces computation load while still achieving effective control by addressing factors in sequence or selecting the most critical factor for adjustment.
Data Source
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AI summary
Provided is an environmental equipment control apparatus capable of immediately executing control for improving a physical and mental state of a user. An environmental equipment control apparatus (100) for controlling a plurality of types of environmental equipment (10, 20, 30) includes: a grasping unit (60) 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 (80) that outputs a control change plan for each of combinations of the plurality of types of environmental equipment (10, 20, 30) in accordance with the current physical and mental state information, the environmental situation information, and the target relationship information; and a selection control unit (90) that selects one control plan from among a plurality of control plans output by the learning control plan output means (80) and executes the one control change plan. The learning control plan output means (80) learns to update a method for specifying the control plan to be output, by using the physical and mental state of the user changed by executing the control plan selected by the selection control unit (90).