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Target detection method for pointer instrument of transformer substation

A target detection and substation technology, applied in the field of machine learning, can solve problems such as maintenance difficulties and high costs, and achieve the effect of ensuring accuracy and efficiency and reducing costs

Pending Publication Date: 2022-02-18
台州宏创电力集团有限公司 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Germany's Marr company uses image processing technology to make a series of instrument detectors, which can read quickly, accurately and effectively, but its cost is high and maintenance is difficult

Method used

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  • Target detection method for pointer instrument of transformer substation
  • Target detection method for pointer instrument of transformer substation
  • Target detection method for pointer instrument of transformer substation

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Embodiment Construction

[0039] In order to make the object, technical solution and advantages of the present invention clearer, the invention will be clearly and completely described below in conjunction with specific embodiments.

[0040] An embodiment of the present invention provides a target detection method for a pointer instrument in a substation, such as figure 1 As shown, the methods include:

[0041] Step S1, obtaining the meter image of the pointer meter in the substation.

[0042] The instrument image can be captured by a camera.

[0043] Step S2, inputting the meter image into the CNN network for feature extraction to obtain candidate areas, the candidate areas including pointer information and dial information.

[0044] The method includes:

[0045] S201. Input the meter image into a CNN network for feature extraction to obtain multiple branch features.

[0046] S202. Extract one of the branch feature input value candidate areas into the network, and extract the candidate area;

[0...

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Abstract

The invention relates to a target detection method for a pointer instrument of a transformer station. The method comprises the following steps: obtaining an instrument image of the pointer instrument of the transformer station, inputting the instrument image into a CNN network for feature extraction to obtain a candidate area, wherein the candidate area includes pointer information and dial information, mapping the candidate area to a feature map and inputting the feature map into an ROI Pooling layer, generating a feature map of the instrument image, and obtaining the reading of the transformer station pointer instrument based on the feature map. The detection method can reduce the cost on the basis of ensuring the accuracy and efficiency of the reading of the pointer instrument of the transformer substation, and can be popularized in a large range.

Description

technical field [0001] The invention relates to the technical field of machine learning, in particular to a target detection method for pointer instruments in substations. Background technique [0002] Instrument measurement is an important part of industrial production. The accuracy of instrument readings directly affects the accuracy of subsequent operations of equipment. Therefore, it is very necessary to read instrument indications accurately and efficiently. [0003] At present, the instrument reading process is generally still carried out manually. For pointer instruments with different specifications, due to factors such as fatigue and poor light, the manual readings are not the same, and there may be relatively large errors, which seriously affect the accuracy of the readings. And for a large number of pointer instruments, manual reading is time-consuming and laborious, which seriously affects the efficiency of instrument reading. Therefore, the mode of manual inst...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T5/30G06T5/00G06N3/04G06N3/08G06K9/62G06V10/28G06V10/46G06V10/762
CPCG06T7/0002G06N3/08G06T5/30G06T2207/20104G06N3/045G06F18/23213G06T5/70
Inventor 吕坚华钱景斌陈瑞军陈威邹宏亮陈明旭王雪燕张冰烨高杰金红飞熊星星王银梅陈嘉蔚马建荣
Owner 台州宏创电力集团有限公司
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