Distributed Measurement Apparatus for Power Plant Monitoring
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In solar and wind power plants, measurement apparatuses cannot calculate the average, maximum, or minimum values of measured parameters across multiple inverter apparatuses without collecting all data at one location, limiting the ability to monitor and manage the systems effectively.
Innovation Solution
A measurement apparatus that communicates with other units to calculate and converge internal average or maximum values, allowing each device to determine the overall system values without needing to collect all data locally, using change amount calculators, average value generators, and communication units to share and compute values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all measured values are collected at one location (centralized data collection), then the average value, maximum value, or minimum value can be calculated accurately, but the system complexity and data transmission requirements increase significantly
Solution Approach 1:
The patent divides the centralized calculation function into distributed segments. Each measurement apparatus independently calculates its own internal average value from its measured values, and then exchanges these internal average values with other apparatuses through communication units. This segmentation eliminates the need for centralized data collection while maintaining calculation accuracy.
Solution Approach 2:
The patent combines the calculation capabilities of multiple distributed measurement apparatuses to achieve system-wide average value calculation. Each apparatus contributes its internal average value to the collective computation, merging local calculations into a global result without requiring physical centralization of data.
2Loss of information
If measured values are collected at a centralized location, then comprehensive system monitoring is achieved, but data transmission time and communication overhead increase
Solution Approach 1:
The patent performs preliminary local averaging at each measurement apparatus before data exchange. By pre-calculating internal average values from raw measured data at distributed locations, the system reduces the volume of data that needs to be transmitted and processed centrally, thereby reducing communication time and overhead.
3Device complexity
If each measurement apparatus only uses its own measured values, then device simplicity is maintained, but the ability to recognize system-wide average values and extreme values is lost
Solution Approach 1:
The patent introduces communication units as intermediaries that enable exchange of internal average values between measurement apparatuses. This intermediary mechanism allows each simple, distributed apparatus to access system-wide statistical information (average, maximum, minimum values) without requiring complex centralized processing or direct access to all raw data.
Data Source
AI summary
A measurement apparatus is used in cooperation with another equivalent measurement apparatus. Each measurement apparatus includes a change amount calculator for calculating a change amount of measured values, an average value generator for generating a first internal average value based on the change amount, and a communication unit for receiving a second internal average value that was generated by at least one other measurement apparatus. The average value generator generates a third internal average value, using a computation result based on at least the first and second internal average values.