Energy Meter Waveform Streaming for Real-Time Metering Applications
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional electronic energy meters lack flexibility and real-time data capabilities to support advanced metering applications requiring continuous waveform and processed data streams, limiting their ability to adapt to diverse metering functions and data formats.
Innovation Solution
An electricity metering system that includes an electronic energy meter with an analog-to-digital converter and a power signal processing unit generating continuous waveform and processed data streams, which are managed by a metering application host to facilitate flexible data transfer to multiple applications, allowing for real-time data management and processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional electronic energy meters are used to monitor energy consumption, then basic metering functions are achieved, but flexibility and real-time data capabilities for advanced metering applications are limited
Solution Approach 1:
The metering system is segmented into distinct functional modules: an electronic energy meter for data collection, a continuous waveform data stream module for real-time processing, and multiple metering applications for specific functions. This segmentation allows each component to specialize in specific tasks, improving overall system flexibility and adaptability while maintaining continuous data availability.
Solution Approach 2:
The electronic energy meter is designed with multi-functionality to serve both traditional energy measurement and advanced metering applications. It simultaneously provides processed data (energy consumption) and continuous waveform data, enabling a single device to support multiple metering functions including power quality analysis, demand response, and real-time monitoring.
2Adaptability or versatility
If continuous waveform data streaming is implemented to support multiple metering applications, then data availability and flexibility are improved, but system complexity increases
Solution Approach 1:
A continuous waveform data stream module acts as an intermediary between the electronic energy meter and multiple metering applications. This intermediary component receives raw waveform data, processes it into continuous streams, and distributes it to various applications according to their specific needs, thereby managing system complexity while enabling multi-application support.
Solution Approach 2:
The system performs preliminary processing of waveform data into continuous streams before distribution to applications. By pre-processing and organizing data in advance, the system reduces the computational burden on individual applications and simplifies their data access requirements, thereby managing complexity at the data source level.
3Loss of information
If processed data and continuous waveform data are generated simultaneously, then comprehensive data coverage is achieved, but data processing requirements and system resource usage increase
Solution Approach 1:
Different data processing qualities are applied locally based on application needs. The system generates processed data (summarized energy consumption) for applications requiring compact information and continuous waveform data for applications needing detailed analysis. This local quality differentiation ensures comprehensive data coverage while optimizing resource usage by not providing full waveform data to all applications.
Solution Approach 2:
The system implements partial processing of waveform data into processed data for applications that do not require complete waveform information. By providing only the necessary level of data detail for each application, the system achieves comprehensive coverage for applications that need it while reducing overall processing requirements and resource consumption.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables flexible and real-time data streaming to support various metering applications, enhancing data availability and usage by allowing applications to request specific data portions or formats as needed, thereby improving metering functionality and adaptability.
Implementation Method 1
converting, by the electronic energy meter, the analog signal to a digital signal
Data Source
AI summary
A method for operating an electricity metering system is provided. The metering system includes an electronic energy meter and a metering application host. The method includes: receiving, by the electronic energy meter, an analog signal associated with power delivered using alternating current (AC); converting, by the electronic energy meter, the analog signal to a digital signal; generating, by the electronic energy meter, processed data and a continuous stream of waveform data; receiving, by a continuous waveform data stream module of the metering application host, the continuous stream of waveform data; requesting, by a first metering application hosted by the metering application host, at least a first portion of the continuous stream of waveform data; and transferring, by the continuous waveform data stream module, the at least a first portion of the continuous stream of waveform data to the first metering application.