Network-Enabled Power Distribution Equipment with Server-Based Data Storage
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Solution Overview
Problem
Microprocessor-based electrical power distribution equipment faces increasing storage capacity demands due to accumulating historical and complex operational data, with limited local memory leading to the need for efficient data management across both local and remote storage systems.
Innovation Solution
The implementation of network-enabled power distribution equipment with a server that manages data storage and retrieval between local and remote network storages, utilizing web servers to distribute data and facilitate access to reference documents and historical data without being constrained by local memory limitations, including the use of local and remote network storage devices and dynamic link creation for document organization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If local storage capacity is increased to accommodate accumulating operational data and historical information, then storage capacity is improved, but device complexity and cost increase
Solution Approach 1:
The storage system is divided into local storage (on the power distribution equipment) and remote storage (on the network server). The local storage retains only essential recent data and configuration information, while historical and operational data are transferred to remote storage. This segmentation allows the equipment to maintain adequate storage capacity without requiring large onboard memory, thereby reducing device complexity and cost.
Solution Approach 2:
A network server acts as an intermediary between the power distribution equipment and the ultimate data repository. The server provides centralized storage and management capabilities, allowing multiple pieces of equipment to share remote storage resources. This intermediary approach eliminates the need for each device to have large local storage, reducing overall system complexity while maintaining adequate storage capacity.
2Speed
If more data is stored locally to improve data access speed, then data access speed is improved, but storage capacity requirements increase
Solution Approach 1:
Different types of data are stored with different qualities and priorities locally. Critical real-time data such as current operational status, recent events, and configuration information are retained locally for fast access. Historical and less time-sensitive data are stored remotely. This local quality approach ensures that the most frequently accessed data remains locally available for rapid retrieval while minimizing local storage requirements.
Solution Approach 2:
The storage system dynamically determines what data to keep locally versus remotely based on access patterns, data age, and system requirements. Frequently accessed or time-critical data is maintained locally, while other data is stored remotely and retrieved on demand. This dynamic approach optimizes the balance between local access speed and storage capacity utilization.
Data Source
AI summary
Network-enabled electrical power distribution equipment comprises at least one networked intelligent device coupled to a power distribution system and measuring and storing at least one sensed condition in the power distribution system; a server for storing and retrieving data relating to the sensed condition and the power distribution equipment; local storage coupled to the server; remote network storage accessible to the server via the network containing that server; and a program operating on the server for controlling the storing of data in, and the retrieval of data from, the local and remote network storages.