Self-Calibrating Outdoor Lighting Control System
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Solution Overview
Problem
Existing outdoor lighting systems face inefficiencies due to faulty or uncalibrated photo sensors, leading to unnecessary energy wastage and safety risks, as they often remain on during daylight or fail to turn on during nighttime, requiring frequent maintenance and adjustments.
Innovation Solution
A self-calibrating and self-adjusting system that uses a clocking device, light sensors, and a controller unit to calculate optimal on and off times based on pre-recorded historical data, automatically adjusting to ambient light conditions and minimizing manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If photo sensors are used to automatically control outdoor lighting, then the lighting can be activated and deactivated based on ambient light conditions, but the sensors become faulty or degrade over time requiring frequent maintenance and calibration
Solution Approach 1:
The system performs self-calibration by comparing sensor readings with pre-stored historical data of ambient light conditions. The microcontroller automatically adjusts the photo sensor's threshold values based on patterns learned from historical data, eliminating the need for manual calibration and maintenance while maintaining reliable automatic control.
Solution Approach 2:
The system uses feedback loops where the microcontroller continuously monitors photo sensor readings, compares them with historical patterns, and automatically adjusts control parameters. This feedback mechanism ensures the system adapts to sensor degradation over time while maintaining reliable automatic operation.
2Extent of automation
If photo sensors are used for automatic control, then lighting activation is automated, but the sensors require frequent calibration and replacement which consumes resources and time
Solution Approach 1:
The system performs self-calibration by comparing sensor readings with pre-stored historical data of ambient light conditions. The microcontroller automatically adjusts the photo sensor's threshold values based on patterns learned from historical data, eliminating the need for manual calibration and maintenance while maintaining reliable automatic control.
Solution Approach 2:
Historical ambient light condition data is pre-recorded and stored in memory during manufacturing or initial setup. This preliminary data preparation enables the system to perform automatic self-calibration without requiring future manual intervention, simplifying ongoing maintenance.
3Ease of operation
If simple timer assemblies are used to control lighting on and off times, then the lighting can be turned on and off at specific times, but the timer requires frequent readjustment following power outages and the transformer must be located in an accessible area
Solution Approach 1:
The system performs self-calibration by comparing sensor readings with pre-stored historical data of ambient light conditions. The microcontroller automatically adjusts the photo sensor's threshold values based on patterns learned from historical data, eliminating the need for manual calibration and maintenance while maintaining reliable automatic control.
Solution Approach 2:
The patent replaces mechanical timer assemblies with a microcontroller-based digital control system. This substitution eliminates the need for physical timer adjustments and accessible transformer locations, as the system can be configured and calibrated remotely through software and performs automatic self-adjustment.
4Loss of energy
If street lights are left on during daylight or turned off during nighttime due to faulty sensors, then energy is wasted or safety risks occur, but manual calibration of all sensors is cumbersome and resource-intensive
Solution Approach 1:
The system performs self-calibration by comparing sensor readings with pre-stored historical data of ambient light conditions. The microcontroller automatically adjusts the photo sensor's threshold values based on patterns learned from historical data, eliminating the need for manual calibration and maintenance while maintaining reliable automatic control.
Solution Approach 2:
The system uses feedback loops where the microcontroller continuously monitors photo sensor readings, compares them with historical patterns, and automatically adjusts control parameters. This feedback mechanism ensures the system adapts to sensor degradation over time while maintaining reliable automatic operation and preventing energy wastage.
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 ensures accurate and efficient operation of outdoor lighting by automatically determining optimal on and off times, reducing energy wastage and safety risks while minimizing maintenance needs.
Implementation Method 1
various street lights that are turn on or off automatically are controlled by photo sensors. More specifically, when the sensor detects low ambient light, it triggers the lamp to turn on
Data Source
AI summary
An intelligent system for controlling an exterior landscape lighting system by self calibration and self adjustments in real-time includes a plurality of lighting units, each lighting unit comprising a light sensor, a clocking device is electrically connected to each lighting unit, a power supply means operable to provide electrical power for operation of the clocking device, and a controller unit comprising a memory for storing a pre-recorded historical data and executing a set of instructions to control on and off times of each lighting unit.