Bluetooth Occupancy Sensor Tuning via Graphical Data Visualization
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Solution Overview
Problem
Occupancy sensors with visual indicators, such as LEDs, provide limited feedback for tuning performance, as they offer only binary indications of occupancy, making it difficult to adjust parameters effectively without access to underlying data.
Innovation Solution
A system and method that allow remote access to occupancy sensor data via a transceiver and electronic processor, enabling graphical representation of data points and thresholds, allowing users to input updates and transmit new settings back to the sensor for improved tuning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visual indicators (LEDs) are used to indicate occupancy events, then the sensor provides immediate visual feedback, but the feedback is limited to binary indications which restricts effectiveness for tuning occupancy sensor parameters
Solution Approach 1:
A mobile device application serves as an intermediary between the occupancy sensor and the user. The application receives occupancy data points from the sensor via Bluetooth communication, processes this data, and presents it in enhanced visual formats (such as histograms showing distribution of occupancy signal levels). This intermediary transforms the limited binary LED feedback into comprehensive visual information while maintaining real-time monitoring capability.
Solution Approach 2:
The patent transforms the one-dimensional binary LED indication into multi-dimensional visual representations displayed on a mobile device screen. Instead of simple on/off states, the system presents histograms, time-series graphs, and distribution plots that show occupancy signal levels across multiple dimensions (magnitude, frequency, duration), enabling users to understand the underlying data patterns for effective parameter tuning.
2Adaptability or versatility
If occupancy sensors operate autonomously with fixed parameters, then the system is simple to deploy, but the sensor performance cannot be optimized for specific environments
Solution Approach 1:
The system implements a feedback loop where occupancy data is continuously collected by the sensor, transmitted to the mobile device application, and presented to the user in visual formats. Users can observe the occupancy patterns, adjust parameters (such as occupancy threshold and timer values), and immediately see the effects of these adjustments in the visualized data. This iterative feedback process enables environment-specific optimization without requiring complex preconfiguration.
Solution Approach 2:
The mobile device application provides self-service capabilities for sensor tuning. Users can independently collect occupancy data, analyze the visualized information, and adjust parameters without requiring technical expertise or external assistance. The system guides users through the tuning process by presenting data in intuitive formats and allowing direct parameter modification, making the sensor adaptable to specific environments while keeping the interface simple.
3Measurement precision
If detailed occupancy data is collected and transmitted to remote devices, then parameter tuning accuracy is improved, but energy consumption and data transmission requirements increase
Solution Approach 1:
The system transmits occupancy data at a moderate level of detail - collecting and sending occupancy data points with timestamps and signal levels - rather than transmitting every possible sensor parameter continuously. This partial action approach provides sufficient data for effective parameter tuning while avoiding excessive energy consumption. The mobile device application then performs the computationally intensive analysis and visualization locally, rather than requiring the sensor to process and transmit all processed information.
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
Enables precise adjustment of occupancy sensor parameters, enhancing performance by providing detailed data visualization and remote configuration, leading to more accurate detection and energy-efficient control of electrical loads.
Implementation Method 1
The electronic processor is configured to receive, via the transceiver, from an occupancy sensor, a plurality of occupancy data points and an occupancy threshold
Implementation Method 2
The electronic processor is configured to generate a graphical representation based on the plurality of occupancy data points and the occupancy threshold. The graphical representation includes a first line providing an indication of the values of the plurality of the occupancy data points relative to the occupancy threshold over time
Implementation Method 3
Occupancy sensors sense occupancy using infrared or ultrasonic detectors, which can detect persons, moving objects, or both
Implementation Method 4
Occupancy sensors sense occupancy using infrared or ultrasonic detectors, which can detect persons, moving objects, or both
Data Source
AI summary
Device and method for controlling Bluetooth™ enabled occupancy sensors. One example system includes a transceiver, a display, and an electronic processor. The electronic processor is configured to receive from an occupancy sensor, a plurality of occupancy data points and an occupancy threshold, and to generate a graphical representation based on the data points and the threshold. The graphical representation includes a first line providing an indication of the values of the plurality of the occupancy data points relative to the occupancy threshold over time. The electronic processor is configured to present the graphical representation on the display. The electronic processor is configured to receive a user input indicating an updated occupancy sensing value, generate, based on the graphical representation and the updated occupancy sensing value, an updated graphical representation, present, on the display, the updated graphical representation, and transmit, to the occupancy sensor, the updated occupancy sensing value.