Smart Energy Control Event Switching During Network Loss
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Solution Overview
Problem
Smart energy devices face challenges in autonomously managing control events during temporary network connectivity losses, as existing protocols like IEEE 2030.5 do not provide mechanisms for devices to opt-in or opt-out of control events without user intervention.
Innovation Solution
Implementing a client application on smart energy devices that allows them to autonomously manage control events by detecting trigger conditions, enabling them to opt-in or opt-out of control events, and communicate status changes through time-stamped responses to the server.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If smart energy devices follow IEEE 2030.5 protocol with time-based controls, then they can respond rapidly to energy parameters, but they cannot autonomously manage control events during network connectivity losses
Solution Approach 1:
The smart energy device is configured to autonomously detect trigger conditions and automatically opt-in or opt-out of control events without requiring user intervention or server communication. The device serves itself by monitoring its own operational state and making independent decisions about control event participation, thereby maintaining reliability during network connectivity losses.
Solution Approach 2:
The device dynamically transitions between different operational states (opted-in and opted-out of control events) based on detected trigger conditions. This dynamic adaptability allows the device to adjust its behavior in response to changing network connectivity conditions and operational requirements, resolving the contradiction between reliability and adaptability.
2Reliability
If smart energy devices autonomously manage control events, then they can maintain operation during network connectivity loss, but they deviate from standard IEEE 2030.5 protocol compliance
Solution Approach 1:
The device is pre-configured with the capability to autonomously manage control events and with defined trigger conditions for opting in or out. This preliminary setup allows the device to immediately respond to network connectivity losses without requiring complex real-time protocol modifications or additional configuration during the connectivity loss event.
3Adaptability or versatility
If smart energy devices autonomously opt-in/opt-out of control events, then they can adapt to network connectivity issues, but they require additional mechanisms for status reporting to the server
Solution Approach 1:
The device implements a feedback mechanism where it sends time-stamped responses to the server reporting the status of control events. This feedback loop allows the server to track the device's autonomous decisions while maintaining protocol compliance. The feedback mechanism is integrated into the existing protocol framework, minimizing additional complexity.
Data Source
AI summary
A smart energy device performs a method which includes executing, during a first time period, a first control event wherein an operational parameter of the smart energy device is controlled by the first control event during a first time period. A second control event is then executed, during a second time period, wherein the operational parameter of the smart energy device is controlled by the second control event during a second time period beginning at an end of the first time period. In response to detection of a first defined trigger condition, the method includes opting out of control of the operational parameter of the smart energy device by the second control event and transitioning to control of the operational parameter of the smart energy device by the first control event during a third time period following the detection of the first defined trigger condition.