An image analysis system and image analysis method for straw fuel value estimation

Abstract

The invention relates to an image analysis system and an image analysis method for estimating the fuel value of straw. The straw fuel is photographed by a camera, and after checking the collected images, the image in the cloud server is marked by a marking platform to obtain data. Set, use data enhancement method to expand the data set, use the data set to train the semantic segmentation network, continue to use the camera to shoot the straw fuel, collect the image and upload it to the server, use the semantic segmentation network to segment the straw image, calculate the proportion, use Proportion to calculate the fuel value of straw. The present invention can remotely collect and train images, analyze and feed back the results to the power generation system through the wireless network, make real-time adjustments to the resolution, exposure value, white balance and other parameters of the image collection equipment, and delete unnecessary image data , upload effective image data, reduce unnecessary costs, and use deep learning methods to get the proportion of straw more accurately.

Description

technical field [0001] The present invention belongs to the technical field of general image data processing or generation, and particularly relates to a method of collecting and analyzing images of materials before feeding straw fuel into a circulating fluidized bed boiler for combustion and generating electricity, and feeding back the analyzed data to the entire power generation system, and then An image analysis system and image analysis method for estimating straw fuel value to obtain better boiler combustion efficiency. Background technique [0002] Straw is one of the new energy sources with the most potential for development and utilization. It can replace mineral fuels such as coal, oil, and natural gas to generate electricity. Effectively reducing the concentration of PM2.5 in my country can reduce the pollution caused by energy consumption to the environment. At present, Europe and the United States have established relatively complete straw-type agricultural waste...

AI Technical Summary

Problems solved by technology

[0005] In the prior art, the method of controlling the calorific value of fuel in the straw burning power generation process still mainly adopts the manual adjustment method, and workers carry out follow-up adjustments on the basis of measuring the calorific value of straw fuel by taking samples at fixed points in the fuel warehouse. Obviously, the manual adjustment method cannot Realize the automatic control operation of the calorific value of straw fuel, the automation level is low, and it cannot meet the high-quality combustion control requirements of the modern straw combustion power generation process

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