Matrix Temperature Presence Sensor for Human Detection
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Solution Overview
Problem
Existing systems for detecting human presence in a space, such as lighting control systems, often fail to accurately distinguish humans from other elements with similar temperatures, leading to false positives or negatives.
Innovation Solution
A system comprising a movement sensor and a temperature-based matrix presence sensor that obtains background information by averaging temperature values from surrounding elements without human presence, and uses a correction factor to enhance detection reliability, operating in two modes to combine movement and presence data for precise human detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a temperature-based presence sensor is used to detect human presence, then the system can detect presence in the room, but it cannot reliably distinguish humans from other elements with similar temperatures, leading to false positives
Solution Approach 1:
The presence detection function is segmented into multiple independent sensing elements arranged in a matrix array. Each sensing element independently measures temperature at its location, allowing the system to create a spatial temperature map and distinguish localized human presence from ambient temperature variations or other heat sources.
Solution Approach 2:
The system transitions from single-point temperature measurement to two-dimensional spatial temperature mapping using a matrix array of sensing elements. This adds spatial dimensionality to the detection, enabling the system to identify the location and pattern of heat sources, thereby distinguishing humans from other elements with similar temperatures.
2Reliability
If the lighting system is kept on to ensure presence detection, then no human presence is missed, but energy is wasted when the room is actually empty causing false positives
Solution Approach 1:
The system continuously monitors temperature patterns across the matrix array and uses this feedback to dynamically adjust lighting control decisions. By analyzing temperature changes over time and comparing them against learned background patterns, the system can reliably determine when the room is truly empty versus when a human is present, enabling accurate on/off lighting control without energy waste.
Solution Approach 2:
The system performs preliminary analysis of temperature patterns and movement detection before making final presence determination and lighting control decisions. By pre-processing sensor data and comparing it against background information, the system可以避免 false positives and only activates lighting when human presence is confidently detected.
3Reliability
If multiple sensors are combined to improve detection accuracy, then presence detection reliability improves, but system complexity increases
Solution Approach 1:
The system merges movement detection and temperature-based presence detection into a unified presence determination process. The controller integrates signals from both sensor types, using movement detection as a trigger for presence sensing and combining both data streams to make final lighting control decisions, thereby improving reliability through multi-sensor fusion.
Solution Approach 2:
The matrix array of temperature sensing elements serves multiple functions: detecting human presence, mapping spatial temperature distribution, identifying background thermal patterns, and triggering movement detection. This multi-functionality reduces the need for separate dedicated sensors for each function, thereby managing system complexity while maintaining high detection reliability.
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 achieves high reliability in detecting human presence while minimizing false positives, allowing for efficient control of lighting and HVAC systems, and optimizing energy consumption by accurately differentiating humans from other hot elements.
Implementation Method 1
a movement sensor configured to generate a first signal upon detecting movement within its movement detection field
Implementation Method 2
a presence sensor configured to generate a second signal upon detecting presence within its presence detection field, the presence sensor being a temperature-based matrix sensor comprising an array of sensing elements
Data Source
AI summary
A system for providing information about presence in a spaceincludes a movement sensor for generating a signal upon detecting movement; anda presence sensor for generating a signal upon detecting presence, being a temperature-based matrix sensor having an array of sensing elements.The system further includesa processing and/or control component in communication with the movement and presence sensors, configured to generate a presence signal upon receiving the first and/or second signals; and configured to obtain background information of the presence detection field. The information includes reference temperature values and are obtainedupon the movement sensor not detecting movement and/orthe presence sensor detecting presence. For each sensing element with presence, using the measured temperature value of surrounding sensing elements not having presence. If all surrounding sensing elements have presence, using the measured temperature value of some sensing elements surrounding the former surrounding sensing elements not having presence.