Distributed Energy Data Storage Architecture
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Solution Overview
Problem
Current electrical grid systems are unable to provide granular, real-time energy usage data to customers or energy providers, limiting their ability to manage energy consumption effectively and scale to handle large numbers of energy monitoring devices.
Innovation Solution
A distributed architecture system that includes redundant sensor, agent, and storage devices for collecting, storing, and presenting energy usage data in real-time, using a spreading algorithm to distribute data across multiple storage units and employing a service announcement protocol for efficient data access and visualization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a traditional centralized energy monitoring system is used, then the system structure is simple, but it cannot provide real-time granular energy usage data and cannot scale to handle large numbers of monitoring devices
Solution Approach 1:
The patent divides the centralized monitoring system into distributed components: sensor devices at customer premises, agent devices for data collection, logger devices for data storage, and web server devices for data presentation. This segmentation enables the system to handle large numbers of monitoring devices while providing real-time granular energy usage data through a scalable distributed architecture.
2Loss of information
If monthly billing is used for energy feedback, then the system is simple to operate, but the feedback is not timely or detailed enough for customers to adjust energy consumption
Solution Approach 1:
The patent implements real-time feedback by having web server devices present energy usage data to customer devices as it is collected by sensor and agent devices. This continuous feedback loop provides customers with timely and detailed energy consumption information, enabling them to adjust their energy usage patterns immediately rather than waiting for monthly bills.
3Measurement precision
If physical meter reading is used, then the measurement is direct, but it requires worker deployment and cannot provide granular device-level consumption data
Solution Approach 1:
The patent implements self-service by having sensor devices automatically collect energy usage data from electrical circuits and have agent devices automatically transmit this data to logger and web server devices. This automated self-service system eliminates the need for worker deployment while providing precise measurement and granular device-level consumption data through the distributed monitoring infrastructure.
4Measurement precision
If estimation methods are used for commercial energy billing, then the data collection is simple, but the energy usage information is not accurate or granular
Solution Approach 1:
The patent creates a universal distributed monitoring system that can accurately measure energy usage for both residential and commercial customers using the same infrastructure of sensor, agent, logger, and web server devices. This multi-functional system replaces estimation methods with actual precise measurements while maintaining operational simplicity through standardized automated data collection and presentation processes.
Data Source
AI summary
This disclosure relates to systems, devices, protocols, and processes for retrieving, accessing, and presenting information of energy usage using a distributed storage process and distributed logical services to provide a user with real-time energy usage information and visualization.