Geofenced Resource Management Control for Adaptive Energy Scheduling
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Solution Overview
Problem
Current resource management systems lack adaptability and user-centric control, particularly in dynamically managing multiple resources across various locations, such as homes, with limited integration of real-time weather data and user proximity-based adjustments.
Innovation Solution
The Dynamic Adaptable Environment Resource Management Controller (DAERMC) system allows users to manage resources through a mobile application, integrating real-time weather data, user proximity, and geofencing to dynamically adjust resource usage, including temperature settings, via a resource management device with features like heat/cool blasts, demand response programs, and customizable interfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional resource management systems are used, then basic resource control is available, but adaptability to dynamic conditions and user-centric control are limited
Solution Approach 1:
The system dynamically adapts resource management strategies based on real-time weather conditions, user proximity detected via geofencing, and temporal patterns. Control parameters such as temperature setpoints and resource activation thresholds are continuously adjusted according to changing environmental conditions and user presence, transforming a static system into a dynamic one that responds adaptively to multiple variables simultaneously.
Solution Approach 2:
The controller integrates multiple functions including weather data acquisition, geofencing-based user proximity detection, automated resource scheduling, manual override capabilities, and multi-resource coordination. A single control system manages diverse resource types (HVAC, lighting, appliances) across multiple locations, providing universal control that replaces several specialized systems with one multi-functional platform.
2Productivity
If manual resource management is used, then user control is direct, but energy optimization and automated scheduling are insufficient
Solution Approach 1:
The system autonomously manages resource optimization by automatically acquiring weather data, detecting user proximity through geofencing, and adjusting resource schedules without continuous manual intervention. The controller self-adjusts temperature setpoints, activates or deactivates resources based on environmental conditions and user presence, and generates optimized schedules independently, enabling the system to serve itself while maintaining energy efficiency.
Solution Approach 2:
The system continuously monitors weather conditions, user location data from mobile devices, and resource consumption patterns, using this feedback to dynamically adjust control strategies. Real-time feedback loops allow the system to compare actual performance against targets and automatically modify resource activation and operational parameters to optimize energy efficiency while responding to changing conditions.
3Adaptability or versatility
If basic scheduling is implemented, then resource activation is automated, but real-time condition-based adjustments and user proximity responses are lacking
Solution Approach 1:
The system merges previously separate control functions into a unified controller that simultaneously processes weather data, geofencing information, scheduling rules, and resource status. By combining weather service integration, mobile device communication for proximity detection, automated scheduling engine, and real-time adjustment capabilities into one integrated system, the patent achieves condition-based adaptability without proportionally increasing overall system complexity.
Data Source
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AI summary
The dynamic adaptable environment resource management controller apparatuses, methods and systems ("DAERMC") transforms various user, component and environment inputs into responsive environment outputs. In some implementations, the DAERMC allows users to manage a plurality of locations via mobile electronic devices (e.g., electronic mobile devices, resource management devices, and/or the like), and may be able to integrate and provide a plurality of information from said devices, including location data, current and projected weather data, current and future resource usage data, messages and/or like notifications, resource usage schedules, resource usage reports, resource usage settings, overrides, and/or the like.