A system and method for automatic identification of thermometer verification readings

An automatic identification system and automatic identification technology, applied in character and pattern recognition, instruments, calculations, etc., can solve problems such as affecting application, low degree of automation, poor reading reliability, etc., to meet the needs of verification automation and improve the binary value. effect, the effect of improving the reading accuracy

Active Publication Date: 2022-02-11
ROCKET FORCE UNIV OF ENG
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Problems solved by technology

It can be seen from the verification process that the reading of the thermometer is realized by the operator's eye observation, which may lead to two problems: first, the accuracy of the reading of the thermometer depends on the skill level of the reader, and there is a certain degree of subjectivity in temperature interpretation The second is that when performing batch verification readings on multiple thermometers or multiple verification points, the amount of manual labor is large, and visual fatigue is prone to occur. These problems will all lead to a decline in the accuracy of thermometer verification readings
Generally speaking, these methods are relatively cumbersome to operate, and the process is not optimized enough; when the image quality of the original acquisition is not high, the reading recognition effect is not good; some steps are not highly automated, and the reading recognition results are affected by certain human subjective factors
[0005] In the article "Image Processing Technology in Automatic Verification of Liquid Thermometer" in the 6th issue of "Measurement and Testing Technology" in 2002 and "Image Processing Technology in Automatic Verification of Liquid Thermometer" in the 4th issue of "Measurement Technology" in 2003 "In the article, a fixed threshold is used in the binarization of the grayscale image, which has poor adaptability. When determining the threshold, the amount of manual labor is large, and the selection of the threshold is sometimes difficult to achieve the desired effect; in the feature extraction of the grayscale image of the thermometer The projection method used at the time did not consider the impact of the thermometer tilt on the final identification reading, and the reading accuracy and reliability were not high.
[0006] In the article "Design and Implementation of a Thermometer Automatic Verification System" in the 7th issue of "Measurement Technology" magazine in 2004, although the image processing and recognition technology was used to realize the automatic reading of the thermometer verification, the operation was cumbersome and the process was not enough Optimization, there are many human and subjective factors in the processing process, and the accuracy of feature extraction needs to be improved. For example, binarization is performed before the grayscale image of the thermometer is segmented, and then according to the results of binarization and median filtering. Segmentation of the original gray-scale image is cumbersome; the threshold used for binarization of the gray-scale image is selected based on experience. On the one hand, the selection of the threshold needs to be adjusted and verified repeatedly. It is also necessary to select and experiment the threshold again, and the operability is poor; the feature extraction of the segmented thermometer image is based on the grayscale image, and the projection method used cannot be independent and difficult to extract the thermometer accurately. Mercury column and scale line features, the feature extraction effect is greatly affected by image quality and noise, which in turn affects the final recognition reading results, and the reading reliability is not high
[0007] In the article "Image Segmentation Technology for Automatic Verification of Thermometers" in the 6th issue of "Ordnance Automation" in 2005, although an adaptive threshold method was used for the binarization of grayscale images, the amount of calculation was large; The feature extraction of the binarized image is carried out on the premise that the thermometer is completely in a vertical ideal state. In fact, this ideal state is difficult to guarantee. If there is a tilt, the reading accuracy will be reduced; the mercury column and the mercury column are not included in the feature extraction. The scale lines are separated independently, which will lead to inaccurate feature extraction of scale lines and mercury columns, resulting in poor reading reliability
[0008] The above problems have affected the application of the researched method in the actual verification of thermometers to a certain extent.
Although the automatic reading technology based on image processing and recognition can theoretically improve the reading accuracy of thermometers and the efficiency of verification, due to the imperfection of the method itself and the low reliability of readings, it has not been obtained in the verification of thermometer readings. to promote

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  • A system and method for automatic identification of thermometer verification readings
  • A system and method for automatic identification of thermometer verification readings
  • A system and method for automatic identification of thermometer verification readings

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[0107] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0108] Such as figure 1 with figure 2 As shown, a kind of automatic identification system of thermometer verification reading provided by the present invention comprises camera 1, computer 2, stepper motor 3 and temperature control tank 4; Wherein, computer 2 is connected with camera 1 and stepper motor 3 by wire, An image acquisition card and a motion control card are installed in the computer 2; the stepper motor 3 is fixed on the top of the temperature control tank 4 by screws; there is a constant temperature liquid environment inside the temperature control tank 4, which is used to provide the temperature of the verification point, and the surface of the temperature control tank 4 is opened. There is a temperature gauge reading window 5 with a hole on the top, and a built-in thermometer fixture that can be taken out independently; after power on, ...

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Abstract

The invention discloses a system and method for automatic recognition of thermometer verification readings. The system includes a camera (1), a computer (2), a stepping motor (3) and a temperature control tank (4); The camera (1) is connected to the stepping motor (3), and an image acquisition card and a motion control card are installed in the computer (2); the stepping motor (3) is fixed on the top of the temperature control tank (4); the temperature control tank (4) There is a constant temperature liquid environment inside to provide the temperature of the test point. The surface of the temperature control tank (4) has a thermometer reading window (5) with a hole on the top and a built-in thermometer fixture that can be taken out independently. The method includes image display and acquisition, image format conversion, image grayscale transformation, image segmentation, image binarization, image morphology operation, image feature extraction, and reading recognition. The invention uses computer recognition software to replace human eyes to realize the automation of thermometer reading, thereby reducing manual labor and improving reading accuracy.

Description

technical field [0001] The invention belongs to the fields of thermometer measurement, image processing and identification, and in particular relates to a system and method for automatic identification of thermometer verification readings. Background technique [0002] Temperature is an important measurement parameter that people use in production and life. As an important tool for temperature measurement, liquid glass thermometers are widely used in many important fields such as industry, agriculture, environment, construction, and energy. The reading error of the thermometer itself will affect the quality of temperature measurement, and larger errors may cause irreparable losses. Therefore, when the thermometer has been used for a period of time, it needs to be verified to calibrate its reading error. [0003] At present, most of the methods used in the verification of thermometers are relatively traditional. The working process is as follows: according to the verificatio...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V20/10G06V10/24G06V10/26G06V10/44
CPCG06V20/10G06V10/242G06V10/267G06V10/44
Inventor 高运广马长林李锋李辉杜文正郝琳
Owner ROCKET FORCE UNIV OF ENG
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