Cloud Power Management for IoT Device Charging Profiles
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Solution Overview
Problem
Current power management systems for electronic devices rely on limited data from manufacturers, lacking real-time power consumption parameters and usage patterns, which hampers effective monitoring and management of handheld and IoT devices.
Innovation Solution
A dynamic cloud-based power management system that collects and analyzes real-time data from connected charging devices, comparing it to manufacturer specifications to create a database of power requirements and usage patterns, enabling advanced power management activities such as notification services, version updates, and power-saving modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If real-time data collection from multiple charging devices is implemented, then power management insights and analysis accuracy are improved, but system complexity and data processing requirements increase
Solution Approach 1:
A cloud-based data processing intermediary is introduced to collect, aggregate, and analyze real-time power consumption data from multiple charging devices. This intermediary system handles the complexity of data processing remotely, allowing local charging devices to remain relatively simple while achieving high measurement precision through centralized analytics.
Solution Approach 2:
The cloud-based platform serves multiple functions simultaneously: data collection from various charging devices, real-time analysis of power consumption patterns, storage of historical data, and provision of insights to different stakeholders. This multi-functional approach consolidates complex operations into a single universal system.
2Reliability
If comprehensive real-time monitoring of power parameters is implemented, then power management capability is improved, but energy consumption for data transmission and processing increases
Solution Approach 1:
The system implements selective data transmission where only relevant power parameters and anomaly detections are transmitted to the cloud, rather than continuously transmitting all raw data. This partial action approach maintains reliable power management capability while reducing unnecessary energy consumption for data transmission.
Solution Approach 2:
Real-time monitoring is implemented with periodic data aggregation and transmission intervals rather than continuous transmission. This allows the system to maintain accurate power management capability while reducing energy consumption by batching data transmissions at optimized intervals.
3Loss of information
If cloud-based data storage and analysis is implemented, then power profile behavior analysis is improved, but data transmission requirements and network dependency increase
Solution Approach 1:
Data preprocessing and filtering are performed at the charging device level before transmission to the cloud. This preliminary action ensures that only complete and relevant power consumption data is transmitted, maintaining data completeness while reducing transmission requirements and improving efficiency.
Solution Approach 2:
The system creates optimized copies of power consumption data with only essential parameters for cloud transmission, while maintaining complete local records. This copying approach ensures data completeness for analysis while reducing network transmission requirements by sending only necessary data copies.
Data Source
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AI summary
The invention is directed to a connected charging device configured to be paired with at least one chargeable device for performing a charging session of said at least one chargeable device, wherein during said charging session the charging device is configured to store at least one real-time data related to the power/charging status of the at least one chargeable device and transmit the data to a cloud based data store and analytics module, together with said charging device ID for monitoring power profile behaviour of said at least one chargeable device. The invention is further directed to a system comprising a cloud based data store and analytics module; said system is configured to receive data from an at least one charging device; wherein said data being received during a charging session performed by said at least one charging device, wherein said data being related to the power/charging status of a chargeable device being charged by said charging device during said charging session; wherein said analytic module is configured for analysing said data and for managing said charging device and/or chargeable device as a result of said analysis.