Rule-Based Sensor Analysis for Remote Energy Device Control
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Solution Overview
Problem
Existing alarm systems and energy management systems lack the ability to efficiently manage energy consumption based on real-time monitoring and user behavior, with a focus on sensor data and user interaction, and fail to provide a seamless integration of remote device control and energy monitoring.
Innovation Solution
A method for controlling energy-consuming devices using sensor data analysis and predefined rules, allowing for automatic adjustment of devices based on user presence, occupancy patterns, weather data, and geographic location, with integrated energy management profiles and user-specific control profiles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If alarm systems generate audible alerts and send electronic data to monitoring services in response to security breaches, then security response capability is improved, but energy consumption increases
Solution Approach 1:
The system pre-conditions rules with specified conditions and actions before events occur. When sensor data matches rule conditions, pre-defined actions are automatically executed, enabling rapid security response without delayed processing or additional energy-intensive operations.
Solution Approach 2:
The monitoring system automatically analyzes sensor data against stored rules and executes control actions without requiring continuous human intervention or additional monitoring service infrastructure. The system serves itself by autonomously making decisions based on pre-configured rules, reducing the need for external energy-intensive monitoring services.
2Ease of operation
If remote device control and energy monitoring are integrated with real-time sensor data analysis, then user convenience and energy conservation are improved, but system complexity increases
Solution Approach 1:
The system segments functionality into distinct components: sensor data acquisition, rule storage, data analysis, and device control. Each component performs a specific function, making the overall complex system manageable through modular design where rules define clear boundaries between monitoring and control functions.
Solution Approach 2:
Predefined rules act as intermediaries between sensor data and device control actions. The rules translate raw sensor information into meaningful control decisions, simplifying the interface between monitoring and control subsystems while enabling automated remote device management without requiring complex real-time processing algorithms.
3Productivity
If automatic device control based on sensor data analysis is implemented, then energy management efficiency is improved, but loss of manual control authority occurs
Solution Approach 1:
The system continuously monitors sensor data and device status, comparing actual conditions against rule-defined expectations. This feedback mechanism enables automatic energy-saving adjustments while maintaining awareness of system state, allowing users to observe and understand automated decisions without requiring direct manual intervention for each adjustment.
Solution Approach 2:
The system dynamically adjusts device control based on real-time sensor data matching against stored rules. Control parameters change automatically when conditions are met, enabling flexible energy management that adapts to current conditions while maintaining user-defined rule-based authority through configurable rule sets that users can modify.
Data Source
AI summary
Techniques are described for providing remote device (e.g., thermostat, lighting, appliance, etc.) control and/or energy monitoring. A system monitors sensor data captured by one or more sensors that sense attributes relevant to user presence at one or more monitored properties and status of one or more energy consuming devices associated with the one or more monitored properties. The system analyzes the monitored sensor data and the monitored device status with respect to a set of one or more rules and performs an operation related to controlling the one or more energy consuming devices based on the analysis of the monitored sensor data and the monitored device status with respect to the set of one or more rules.