Smart Energy Control Events With Autonomous Opt-Out Switching
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing smart energy devices rely heavily on server-provided control events for operation, lacking the autonomy to opt-in or opt-out of control events based on user-defined conditions, which limits their flexibility and responsiveness to changing energy parameters.
Innovation Solution
The implementation of a client application on smart energy devices enables them to autonomously opt-in and opt-out of control events based on specified conditions, allowing for configurable behavior and transition between control events without relying solely on server-determined commands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If smart energy devices rely on server-provided control events for operation, then device operation is standardized and compliant with IEEE 2030.5 protocol, but device autonomy and flexibility to respond to changing conditions are limited
Solution Approach 1:
The control system is segmented into multiple independent control events, each with specific trigger conditions and operational parameters. The client application can selectively execute individual control events based on detected conditions, rather than relying on a single centralized server command. This segmentation enables autonomous decision-making while maintaining protocol compliance.
Solution Approach 2:
The system performs preliminary actions by pre-configuring multiple control events with defined trigger conditions and parameters before runtime. The client application detects conditions and autonomously selects which pre-configured control events to execute, eliminating the need for real-time server intervention and enabling faster autonomous response.
2Speed
If smart energy devices execute control events based on server commands, then protocol compliance is maintained, but responsiveness to changing energy parameters and user preferences is delayed
Solution Approach 1:
The client application continuously monitors local conditions (energy parameters, device state, user preferences) and provides feedback to autonomously determine which control events to execute. This local feedback loop enables immediate response to changing conditions while the system maintains protocol compliance through structured control event definitions that align with IEEE 2030.5 requirements.
Solution Approach 2:
The device performs self-service by autonomously detecting conditions and executing appropriate control events without requiring constant server intervention. The client application serves itself by making real-time decisions based on local information, significantly improving response speed while maintaining protocol compliance through pre-configured control event structures.
3Adaptability or versatility
If smart energy devices allow autonomous opt-in/opt-out of control events, then flexibility and adaptability increase, but control system complexity and detection requirements increase
Solution Approach 1:
The system manages complexity by defining trigger conditions as specific parameter thresholds or states (e.g., energy price thresholds, load levels, user preference flags). The client application detects these predefined parameter changes and automatically transitions between control events, making the detection process systematic rather than complex.
Solution Approach 2:
The client application acts as an intermediary layer between raw sensor data/conditions and control event execution. It translates diverse input conditions into standardized trigger condition detections, simplifying the overall system architecture while enabling flexible autonomous control event selection based on user-defined parameters.
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.