Electric Energy Meter Coprocessor for Real-Time Harmonic Analysis
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Solution Overview
Problem
Current electric energy meters face inefficiencies in processing harmonic data due to software-based processing on master control chips, which occupies resources and fails to meet real-time requirements for harmonic analysis in smart power grids.
Innovation Solution
A metering device with a first metering chip for fundamental and full wave processing and a coprocessor in the metering master control chip for harmonic processing, sharing storage and using instruction-based processing to efficiently handle harmonic data without occupying the first metering chip's resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the metering master control chip uses software to directly process electric energy data and perform FFT analysis, then the harmonic component information can be obtained, but the processing time is too long and cannot meet real-time requirements
Solution Approach 1:
The patent divides the metering chip into two independent parts: a first metering chip dedicated to fundamental wave and full wave processing, and a coprocessor dedicated to harmonic processing. This segmentation allows each chip to specialize in specific tasks, improving processing efficiency and meeting real-time requirements while maintaining measurement precision.
Solution Approach 2:
The patent introduces a coprocessor as an intermediary between the first metering chip and the master control chip core. The coprocessor receives sampling data, performs FFT analysis and harmonic processing, then returns results to the master control chip. This intermediary handles the computationally intensive harmonic analysis separately, reducing the processing time burden on the main system.
2Adaptability or versatility
If the master control chip core directly performs harmonic processing using software, then the processing flexibility is maintained, but the running resources of the core are occupied and other application functions are affected
Solution Approach 1:
The patent segments the processing functions by creating a dedicated coprocessor for harmonic analysis, separating it from the master control chip core. The core retains flexibility for high-level control and application functions, while the coprocessor handles the computationally intensive FFT and harmonic calculations independently, improving overall system productivity.
Solution Approach 2:
The coprocessor is designed to autonomously perform harmonic processing tasks. It independently receives sampling data, executes FFT algorithms, calculates harmonic components, and returns results without requiring continuous intervention from the master control chip core, thereby freeing up core resources for other application functions.
3Measurement precision
If FFT analysis is performed on a whole cycle of sampling data, then accurate harmonic information is obtained, but the update frequency is too low for effective monitoring
Solution Approach 1:
The coprocessor continuously pre-processes sampling data by maintaining a buffer of sampled values and continuously performing FFT calculations on available data. This preliminary action ensures that when a complete cycle is available, the harmonic analysis is already prepared or can be quickly generated, achieving both accuracy and faster update frequency for effective monitoring.
Data Source
AI summary
The present application discloses a metering device, including a structure body of the metering device, a first metering chip and a metering master control chip. The first metering chip is configured for performing fundamental wave and full wave processing on electric energy data; the metering master control chip includes a master control chip core, a coprocessor and a storage unit, wherein the master control chip core and the coprocessor share the storage unit; and the coprocessor is configured for performing harmonic processing on the electric energy data based on the storage unit and based on a manner of instruction. By applying the solution of the present application, the electric energy data of the metering device can be processed quickly and efficiently, and a hardware cost is saved at the same time. The present application also provides an electric energy meter which has the corresponding technical effects.