Occupancy model selection apparatus, occupancy model selection method, and non-transitory computer readable medium
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for simulating power consumption in buildings require reconstructing the occupancy model during simulations, leading to inefficiencies and inaccuracies.
Innovation Solution
An occupancy model selection apparatus that evaluates multiple occupancy models based on past input conditions and selects the model generating results closest to actual power consumption values, allowing for smooth power consumption simulations without reconstructing the model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If an occupancy model is reconstructed during power consumption simulation based on actual occupant numbers, then the simulation accuracy is improved, but the simulation efficiency deteriorates due to the need to stop and reconstruct the model
Solution Approach 1:
The patent applies preliminary action by pre-defining multiple occupancy models with different occupancy rates before the simulation begins. The selection unit then chooses the most appropriate pre-defined model during simulation based on monitored actual occupancy, avoiding the need to reconstruct the model during the simulation process. This resolves the contradiction by preparing options in advance, thus maintaining both accuracy and efficiency.
2Productivity
If the occupancy model is fixed and not reconstructed, then the simulation efficiency is improved, but the simulation accuracy deteriorates because the model cannot adapt to actual occupancy variations
Solution Approach 1:
The patent implements dynamics by enabling the occupancy model to be dynamically selected from multiple pre-defined models during the simulation process. The selection unit monitors actual occupancy numbers and switches between different occupancy models (e.g., high occupancy, medium occupancy, low occupancy models) to match current conditions. This allows the system to maintain high simulation efficiency while adapting to varying occupancy scenarios, thus resolving the contradiction between fixed model efficiency and adaptive accuracy.
3Adaptability or versatility
If multiple occupancy models are evaluated and selected based on past simulations, then the adaptability to different occupancy scenarios is improved, but the computational complexity increases
Solution Approach 1:
The patent applies local quality by creating different occupancy models tailored to specific occupancy scenarios (high occupancy, medium occupancy, low occupancy), where each model is optimized for its particular condition. Instead of using a single complex model that tries to handle all scenarios, the system uses multiple simpler, specialized models that can be locally selected based on current occupancy conditions. This reduces overall computational complexity while improving adaptability to different scenarios.
Data Source
AI summary
An occupancy model selection apparatus (100) includes an occupancy model selection unit (103). The occupancy model selection unit (103) evaluates each of a plurality of occupancy models which predict occupancy situation in a simulation target area during a simulation period, based on a power consumption value corresponding to each of the plurality of occupancy models and on a past input condition; and based on a result of evaluation of each of the plurality of occupancy models, selects an occupancy model that generates a simulation result relatively close to an actual power consumption value in the simulation period corresponding to the past input condition in the simulation target area.