SPI Multimaster Digital Power Meter Frequency Identification
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Solution Overview
Problem
Existing power signal monitoring technologies face errors when sampling signals and transforming them from the time domain to the frequency domain, particularly in identifying frequencies accurately.
Innovation Solution
The method involves digitally sampling sensor data, calibrating and filtering it, detecting zero-crossing events, identifying and storing relevant data points, and resampling to achieve accurate frequency identification using FFT analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Difficulty of detecting and measuring
If digital sampling is performed on power signals for frequency analysis, then frequency identification capability is improved, but sampling errors occur leading to reduced measurement precision
Solution Approach 1:
The patent applies preliminary action by performing calibration and filtering operations on the sampled data before frequency analysis. The system calibrates the sampled data to correct systematic errors and filters out noise components that would otherwise degrade measurement precision during frequency identification
Solution Approach 2:
The patent introduces an intermediary processing stage between sampling and frequency analysis. This intermediary stage includes calibration and filtering operations that mediate between the raw sampled data and the final frequency measurement, eliminating sampling errors before they affect the frequency identification accuracy
Data Source
AI summary
A digital power metering system with serial peripheral interface (SPI) multimaster communications is provided. A digital power meter is provided that includes at least one sensor that senses analog electrical parameters on electricity transmission lines from an electrical power distribution system, at least one analog-to-digital converter that receives the analog electrical parameters from the at least one sensor and converts the analog electrical parameters to sampled data; at least one processing device that performs calculations to determine power usage based on the sampled data and control overall operation of the meter, and a Serial Peripheral Interface (SPI), wherein the at least one processing device includes a plurality of processing devices, the SPI allowing one of the plurality of processing devices to become a master and the other processing devices of the plurality of processing devices to become slaves.