Intelligent Lighting Control Using Multi-Sensor Frequency Data
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Solution Overview
Problem
Conventional lighting control systems using raw sensor data are prone to errors and malfunctions, leading to energy waste and user annoyance, especially when controlling lighting based on human presence or environmental changes.
Innovation Solution
An intelligent lighting control system that uses multiple sensors (such as illuminance, temperature, awareness, and voice sensors) to convert raw data into valid frequency data, calculate lighting types, and control lighting operations based on calculated coefficients for energy saving, lighting environment, or life pattern considerations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If lighting control is based on raw sensor data, then the system responds quickly to environmental changes, but the error rate increases and malfunctioning probability increases
Solution Approach 1:
The patent applies preliminary action by pre-establishing multiple thresholds (first threshold for turning on, second threshold for turning off) and validation rules before actual lighting control occurs. The system validates sensor data against these pre-set criteria and maintains state information (presence/absence flags) to ensure reliable control decisions, preventing erroneous responses to transient environmental changes while preserving quick response capability.
2Device complexity
If lighting is controlled using only raw data from human body detection sensors, then the control is simple, but energy waste and user annoyance increase due to malfunctioning
Solution Approach 1:
The patent changes the parameters used for control decisions by introducing multiple threshold levels (first threshold Th1 for ON, second threshold Th2 for OFF) and validation time parameters (waiting period T). The system compares sensor output against these modified parameters and maintains state flags to distinguish between temporary and persistent conditions, preventing energy waste from inappropriate lighting control while keeping the system relatively simple.
Solution Approach 2:
The patent implements feedback by continuously monitoring sensor output and comparing it against established thresholds and state information. The system uses feedback from previous control decisions (maintaining presence/absence flags) to validate current sensor readings, ensuring that lighting control decisions are based on consistent, verified data rather than transient raw sensor values, thereby reducing energy waste from malfunctioning.
3Loss of information
If multiple sensors are integrated into the lighting unit, then sensing information can be managed in an integrated manner, but the device complexity increases
Solution Approach 1:
The patent merges multiple sensor functions into a single integrated lighting control unit, combining illuminance sensor, temperature sensor, and human body detection sensor within one device. The control unit processes data from all sensors through unified threshold comparison and validation logic, managing sensing information in an integrated manner while avoiding the complexity of separate sensor systems and their interconnections.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system optimizes lighting control by reducing errors, minimizing energy waste, and enhancing user convenience by providing customized lighting based on time, place, scene, and environmental conditions, while integrating sensors for efficient management and energy savings.
Implementation Method 1
multiple sensors (such as illuminance, temperature, awareness, and voice sensors)
Implementation Method 2
multiple sensors (such as illuminance, temperature, awareness, and voice sensors)
Implementation Method 3
human body detection sensor that utilizes pyroelectricity
Data Source
AI summary
The present invention relates to an intelligent lighting control apparatus and method, which control an intelligent lighting unit including multiple sensors depending on time, place, scene, environment, or the like, based on the results of sensing by the sensors. The intelligent lighting control apparatus includes a multi-sensor unit including multiple sensors, the multi-sensor unit sensing motion of a person or an object within a set sensing area using at least one of the multiple sensors. A lighting control unit controls an operation of a lighting unit based on frequency data corresponding to results of sensing by the multi-sensor unit and a class of lighting type corresponding to the frequency data.