Building Sensing Management System Using Predicted Slope Algorithm
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Solution Overview
Problem
The increasing number of sensors in buildings leads to exponential network traffic due to periodic data transmission, which is inefficient, especially when environment conditions change continuously, as seen in methods like Constant Measurement (CM) where data transmission frequency increases significantly.
Innovation Solution
A building sensing management system and method that uses a predicted slope algorithm to determine when to transmit data, where sensors only transmit values outside a calculated error range, and switches to Constant Measurement when slope directionality changes, minimizing data transmission by assigning varying error ranges based on slope and using weighted values for recent and previous slopes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensors transmit data periodically to ensure data reliability, then data reliability is improved, but network traffic increases exponentially
Solution Approach 1:
The patent changes the transmission parameter from fixed periodic intervals to dynamic intervals based on predicted slope comparisons. Sensors calculate the slope of sensing values and only transmit when the slope changes exceed a threshold, adapting the transmission parameter to actual environmental change rates.
Solution Approach 2:
The system transitions from static periodic transmission to dynamic event-driven transmission. The transmission timing is dynamically adjusted based on real-time slope calculations and predictions, making the system responsive to actual environmental changes rather than following a fixed schedule.
2Measurement precision
If sensors transmit data frequently to capture continuous environmental changes, then measurement precision is improved, but network traffic increases
Solution Approach 1:
Sensors perform preliminary slope calculations and predictions before actual data transmission. By pre-calculating whether environmental changes exceed thresholds using slope prediction algorithms, the system avoids unnecessary transmissions while ensuring significant changes are captured.
Solution Approach 2:
The system uses feedback from slope predictions to control transmission decisions. Sensors continuously monitor environmental changes, predict slopes, and use this feedback to determine whether transmission is necessary, creating a closed-loop control system that optimizes transmission based on actual conditions.
3Quantity of substance
If a constant error range is used in CM method to reduce transmission, then network traffic is reduced, but transmission frequency increases when environment changes continuously
Solution Approach 1:
The patent replaces the static constant error range with dynamic slope-based thresholds. Instead of using a fixed CM error range that causes frequent transmissions during continuous changes, the system dynamically adjusts transmission thresholds based on calculated slopes and their predictions.
Solution Approach 2:
The transmission threshold parameter is changed from a constant value to a dynamically calculated value based on slope predictions. This parameter change allows the system to adapt to continuous environmental changes without triggering excessive transmissions.
Data Source
AI summary
Provided herein is a sensing management system capable of minimizing the amount of data transmission from sensors, the system including a plurality of sensors configured to sense information of surrounding environment, and, in response to a sensing value transmitted to a controller having a slope of a same directivity for twice or more times, to obtain a predicted slope using a current slope of the transmitted sensing values; and the controller configured to obtain the predicted slope using a same algorithm as the sensors, wherein, in response to a next sensing value being within an error range of the predicted slope, the sensors do not transmit the next sensing value to the controller.