Goal-Based Lighting Control System for Energy Efficiency
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Solution Overview
Problem
Conventional lighting systems require skilled installers and operators to manually set and adjust light levels for each fixture, leading to inefficiencies in productivity, energy usage, and overall satisfaction due to their complexity.
Innovation Solution
A goal-based lighting controller system that includes a network interface, lighting system model, goal module, demand model, and hardware interface module, which converts high-level management goals into power levels for light fixtures without requiring individual device control parameters, using predictive and adaptive models to optimize lighting based on real-time sensor data and user input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual control with light level settings for each fixture is used, then precision of control is improved, but device complexity and ease of operation deteriorate
Solution Approach 1:
The patent introduces a goal module as an intermediary between high-level management goals and the lighting control system. This module automatically translates management goals into specific light level settings for individual fixtures, eliminating the need for manual configuration while maintaining precise control. The intermediary handles the complexity internally, presenting a simplified interface to operators.
Solution Approach 2:
The system enables self-service operation by automatically determining optimal light levels based on management goals without requiring skilled installers or operators to manually configure each fixture. The goal module autonomously performs the complex task of translating high-level objectives into specific control parameters, making the system easy to operate while maintaining precision.
2Manufacturing precision
If manual control with detailed settings is used, then control precision is improved, but ease of operation deteriorates
Solution Approach 1:
The goal module serves as an intermediary that shields operators from complex system parameters. It automatically translates management goals into detailed light level settings, eliminating the need for operators to understand low-level system parameters while ensuring precise control is achieved through automated calculation.
Solution Approach 2:
The system performs self-configuration by automatically determining optimal light levels based on management goals. This eliminates the need for skilled operators to manually adjust each fixture, making the system easy to operate while maintaining high precision through automated optimization algorithms.
3Ease of operation
If automated goal-based control is implemented, then ease of operation is improved, but manufacturing precision deteriorates
Solution Approach 1:
The goal module acts as an intelligent intermediary that automatically translates high-level management goals into precise light level settings for individual fixtures. This intermediary performs complex optimization calculations to ensure that automated control achieves the same precision as manual configuration, while dramatically simplifying operator interaction.
Solution Approach 2:
The system dynamically adjusts light level parameters based on management goals and real-time conditions. The goal module automatically optimizes multiple parameters simultaneously (light levels, timing, energy consumption) to achieve precise control outcomes through automated decision-making, matching or exceeding manual configuration precision.
4Ease of operation
If automated control without individual device parameters is used, then ease of operation is improved, but measurement precision deteriorates
Solution Approach 1:
The goal module serves as an intermediary that receives high-level management goals and automatically translates them into precise individual fixture control parameters. This intermediary ensures that automated operation maintains measurement precision by calculating specific light level settings for each fixture based on the management goals and system model.
Solution Approach 2:
The system dynamically determines optimal light level parameters for each fixture by translating management goals into specific control settings. This automated parameter optimization maintains measurement precision through mathematical modeling and optimization algorithms, achieving accurate light level control without requiring manual parameter specification.
Data Source
AI summary
A goal-based control system may be provided that controls lighting based on high-level management goals for the operation of a lighting system. The system may include a lighting system model. The system may convert the high-level management goals into low-level device control parameters that include a power level for each respective one of the light fixtures, where the system determines that a modeled operation of each respective one the light fixtures at the power level meets the management goals based on the lighting system model. The system may cause each respective one of the light fixtures to operate at the power level. The system may determine a likelihood of satisfying the management goals.