Insulator Pollution Prediction Using Image Processing
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Solution Overview
Problem
Current methods for predicting insulator pollution in power grids are inadequate, leading to inefficient cleaning and increased risk of flashover due to slow and inaccurate updates in pollution area distribution, and the high costs and limitations of existing measurement devices in harsh coastal environments.
Innovation Solution
A method and device for predicting insulator pollution grade using prediction data, current pollution status, and an insulator pollution grade calculating model that includes initial pollution status variables, pollutant accumulation, and reduction predictions, allowing for real-time and accurate assessment of pollution levels and flashover probability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If x-ray measuring devices are mounted on lines to measure salt density and dust density, then measurement precision is improved, but device complexity and cost increase significantly
Solution Approach 1:
The patent uses image processing technology to create a virtual model of insulator pollution status by capturing images with cameras and processing them through computer vision algorithms. This copying approach replaces the need for physical x-ray measuring devices mounted on transmission lines, achieving pollution measurement while significantly reducing device complexity and deployment cost.
Solution Approach 2:
The patent substitutes mechanical/x-ray measurement systems with an optical-based image processing system. Instead of using x-ray devices to physically measure pollution density, the system uses cameras to capture images and algorithms to analyze pollution levels, replacing complex mechanical measurement equipment with simpler optical sensing and computational methods.
2Measurement precision
If x-ray measuring devices are deployed in harsh coastal environments, then measurement capability is improved, but reliability decreases due to high humidity and salinity
Solution Approach 1:
The patent uses image processing technology to create a virtual model of insulator pollution status by capturing images with cameras and processing them through computer vision algorithms. This copying approach replaces the need for physical x-ray measuring devices mounted on transmission lines, achieving pollution measurement while significantly reducing device complexity and deployment cost.
Solution Approach 2:
The patent employs standard cameras and image processing systems that are more resistant to harsh environmental conditions compared to sensitive x-ray measuring devices. These systems can be easily replaced or recalibrated if needed, providing a more reliable and maintainable solution for coastal environments with high humidity and salinity.
3Ease of operation
If periodic inspection and cleaning is conducted based on slowly updated pollution area distribution maps, then operational simplicity is maintained, but productivity decreases due to non-thorough cleaning and inability to avoid flashover
Solution Approach 1:
The patent performs preliminary assessment of insulator pollution status by analyzing images and calculating pollution grades before cleaning operations. This allows the system to identify which insulators require cleaning and prioritize them accordingly, enabling more efficient allocation of cleaning resources and improving overall cleaning productivity while maintaining operational simplicity.
Solution Approach 2:
The patent implements a feedback mechanism where insulator pollution images are continuously captured, pollution grades are calculated, and cleaning priorities are dynamically adjusted based on current pollution status. This real-time feedback loop ensures that cleaning operations are performed on insulators that most need them, improving cleaning efficiency and preventing flashover events while keeping the operational process simple.
Data Source
AI summary
A method and a device for predicting insulator pollution grade includes acquiring prediction data affecting the insulator pollution grade; acquiring current pollution status of the insulator; predicting the insulator pollution grade based on the prediction data, the current pollution status and an insulator pollution grade calculating model, wherein the insulator pollution grade calculating model at least comprises an initial pollution status variable of the insulator, and a pollutant accumulation prediction and a pollutant reduction prediction based on the initial pollution status variable, at least one of the accumulation prediction and the reduction prediction being associated with the prediction data, and the initial pollution status variable being associated with the current pollution status.