Short-time cloud picture tracking method based on optical flow method

An optical flow method and short-term technology, which is applied in image analysis, image enhancement, image data processing, etc., can solve problems that do not conform to the law of cloud movement, and achieve strong adaptability and stable operation.

Active Publication Date: 2020-08-25
杭州远鉴信息科技有限公司 +1
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the existing cloud image tracking method usually regards the cloud as an object with a constant shape, and

Method used

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  • Short-time cloud picture tracking method based on optical flow method
  • Short-time cloud picture tracking method based on optical flow method
  • Short-time cloud picture tracking method based on optical flow method

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Embodiment Construction

[0052] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0053] Embodiments of the present invention are as follows:

[0054] The pictures used in the present invention are obtained by a commercial all-sky camera (model: SRF-02) on the roof of the Hong Kong Polytechnic University laboratory (latitude: 22.30, longitude: 114.18), such as figure 1 shown. From figure 1 As can be seen in the figure, the entire system is enclosed in a waterproof and windproof box with a glass dome pointing towards the zenith, allowing it to work in any weather conditions during the day (6 am to 18 pm). Notably, a special full-frame fisheye lens mounted in front of the camera's entrance optics is responsible for expanding the field of view (FOV). The camera is programmed to capture a pair of images every 5 seconds. One is a normally exposed image and the other is a related underexposed image with the same scen...

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Abstract

The invention discloses a short-time cloud picture tracking method based on an optical flow method. The method comprises: firstly, collecting real-time sky pictures through an all-sky imager, and removing irrelevant factors such as buildings in the images are removed; secondly, utilizing RBG color information of the image to separate pixels of the cloud from pixels of the sky; and finally, comparing the same cloud pixels of the two frames to obtain an edge position and a speed vector of the cloud, predicting the edge position of the cloud at the next moment, and comparing the edge position with the sun position to realize prediction. The method can achieve the recognition and prediction of the position of the cloud picture, is higher in accuracy, is high in speed, is high in universality,is good in robustness, and can be used for an irradiation intensity prediction or solar photovoltaic power output prediction system.

Description

technical field [0001] The invention relates to a short-term cloud image tracking method, in particular to a short-term cloud image tracking method based on an optical flow method. Background technique [0002] Drifting clouds can obscure the sun, causing significant fluctuations in power output from solar power systems. Predicting the position of the cloud cover provides enough time to smooth out the power output. At present, the commonly used photovoltaic power prediction methods are based on historical data for data analysis to achieve power prediction, and the time scale is basically based on the day, so the impact of cloud movement on power is directly ignored. However, traditional meteorological data such as weather forecasts can only predict data such as temperature, rainfall probability, and wind speed within a certain period of time. Predict short-term cloud position changes, and short-term cloud position prediction can only be realized through images. Therefore,...

Claims

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Application Information

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IPC IPC(8): G06T7/207G06T7/13
CPCG06T7/207G06T7/13G06T2207/10004G06T2207/10024G06T2207/30181Y04S10/50
Inventor 齐冬莲闫云凤张淞杰董哲康杨心怡
Owner 杭州远鉴信息科技有限公司
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