Wind Turbine Controller Data Collection via Representative Sampling

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Solution Overview

Problem

The existing data collection systems for wind turbines face high communication loads and complex data analysis due to continuous sampling of temporal data, which can result in coarse representation of the wind turbine's state or operation history, especially when the sampling period is long.

Innovation Solution

A data collection system that includes a wind turbine controller with a control part, a representative data memory part, and a representative data selection part to store and select data for each control calculation cycle, reducing the need for continuous data transmission and simplifying analysis by focusing on key parameters like minimum or maximum values.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If continuous temporal data is obtained and stored at a predetermined sampling rate for state monitoring, then the state monitoring coverage is improved, but the communication load increases and data analysis becomes complex

Engineering Contradiction:
Improvestate monitoring accuracyVSAvoiddata analysis complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent extracts only the necessary representative data (maximum, minimum, average values) from the continuous temporal data stream. The representative data selection part selectively extracts specific data points based on predetermined conditions rather than transmitting all continuous data, thereby reducing communication load while maintaining monitoring accuracy.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent segments the continuous data stream into discrete representative data points. By dividing the continuous temporal data into specific meaningful segments (max, min, average values within control calculation cycles), the system reduces the overall data volume while preserving the essential state information needed for monitoring.

Inventive Principle:
Principle #1Segmentation

2Productivity

If the sampling period is extended to reduce data volume, then the communication load is reduced, but the data becomes coarse and fails to accurately represent the wind turbine state

Engineering Contradiction:
Improvedata processing efficiencyVSAvoidstate representation accuracy
Core Design Contradiction:
ProductivityVSMeasurement precision

Solution Approach 1:

The patent changes the parameter representation by selecting specific characteristic values (maximum, minimum, average) from the temporal data within each control calculation cycle. This parameter transformation allows the system to use longer sampling periods without losing accuracy, as these representative parameters capture the essential state information more efficiently than raw continuous data.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The representative data selection part performs preliminary processing of the temporal data within the wind turbine controller before transmission. By pre-selecting and pre-processing the data to extract representative values, the system prepares the data in advance, ensuring accuracy is maintained even when using extended sampling periods for reduced communication load.

Inventive Principle:
Principle #10Preliminary action

3Loss of information

If all temporal data is transmitted to external calculators for analysis, then comprehensive analysis is achieved, but the communication load becomes excessively high

Engineering Contradiction:
Improvedata completenessVSAvoidcommunication energy
Core Design Contradiction:
Loss of informationVSLoss of energy

Solution Approach 1:

The patent extracts only the essential representative data needed for state monitoring from the complete temporal data set. By selecting specific data points (maximum, minimum, average values) that adequately represent the overall state, the system maintains data completeness for monitoring purposes while dramatically reducing the communication energy required to transmit the data.

Inventive Principle:
Principle #2Taking out (Extraction)

Data Source

PatentUS10865772B2Data collection system and method for wind turbine power generation facility, and wind turbine power generation facility
Publication Date: 2020.12.15 MITSUBISHI HEAVY IND LTD
  • US10865772B2 patent drawing
  • US10865772B2 patent drawing
  • US10865772B2 patent drawing

AI summary

A data collection system of at least one wind turbine power generating apparatus includes: at least one wind turbine controller including a control part for controlling each wind turbine power generating apparatus, a representative data memory part for storing representative data of at least one parameter indicating a state or operation history of the at least one wind turbine power generating apparatus, and a representative data selection part configured to obtain data of the at least one parameter once in every control calculation cycle and determine whether to store the obtained data as the representative data for every control calculation cycle; and a data collection part configured to collect, from each wind turbine controller, the representative data of the at least one parameter related to the state of each wind turbine power generating apparatus stored in the representative data memory part of each wind turbine controller.