Wireless Sensor Configuration Management via Normality Parameters
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Solution Overview
Problem
Wireless connectivity issues and interference in sensor networks can lead to delayed or missed sensor readings, compromising the accuracy of predictions and anomaly detection in decision support systems for utility infrastructure management.
Innovation Solution
A method that dynamically optimizes the configuration of wireless connections by comparing sensor readings with forecast values and assessing the reliability of data transfer, adjusting bandwidth, power, frequency, channel allocation, or routing to ensure timely and accurate data delivery, using a transmission control system that evaluates normality and reliability parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If wireless communication configuration is optimized dynamically, then data delivery reliability is improved, but system complexity increases
Solution Approach 1:
The patent implements dynamic optimization of wireless communication configuration by continuously monitoring data delivery reliability metrics and automatically adjusting transmission parameters such as bandwidth, power, frequency, channel allocation, and routing based on real-time conditions, thereby resolving the contradiction between improving reliability and increasing system complexity through adaptive control
Solution Approach 2:
The system employs feedback mechanisms by comparing actual sensor reading delivery against expected delivery patterns, detecting anomalies in data arrival timing and reliability, and using this feedback to trigger configuration adjustments, thus improving data delivery reliability while maintaining manageable system complexity through closed-loop control
2Measurement precision
If wireless communication configuration is optimized dynamically, then anomaly detection accuracy is maintained, but operational costs increase
Solution Approach 1:
The patent changes operational parameters dynamically by adjusting wireless communication settings (bandwidth, power, frequency, channel allocation, routing) based on monitored reliability metrics and anomaly detection requirements, optimizing the balance between maintaining measurement precision for anomaly detection and minimizing energy consumption for operational costs
3Loss of energy
If wireless communication configuration is optimized dynamically, then network resource usage is reduced, but configuration management complexity increases
Solution Approach 1:
The system implements self-service by automatically monitoring its own data delivery reliability, detecting anomalies in transmission performance, and autonomously adjusting its wireless communication configuration without external intervention, thereby reducing network resource usage while managing configuration complexity through self-contained automated control
Data Source
AI summary
A method for managing the configuration of a wireless connection used to transmit sensor readings from a sensor to a data collection facility, the method comprising receiving a sensor reading from the sensor, comparing the value of the sensor reading with a forecast value for the sensor reading, determining the value of a normality parameter for the sensor, wherein the value of the normality parameter defines the extent to which the value of the sensor reading differs from the forecast value; and determining whether to retain a current configuration of the wireless connection between the sensor and data collection facility or to change the configuration, wherein the determination to retain the current configuration or change configuration is based at least in part on the value of the normality parameter.