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Grease color acid value integral automatic detection device and method based on computer vision

A computer vision and automatic detection technology, applied in the direction of color/spectral characteristic measurement, food testing, material inspection, etc., can solve the problems of untimely parameter adjustment, low measurement accuracy, non-integrated detection, etc., to improve accuracy and Reliability, improving product quality, and eliminating subjective errors

Inactive Publication Date: 2008-03-26
HARBIN UNIV OF COMMERCE
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the shortcomings of non-integrated detection, large error, low measurement accuracy, long detection cycle, untimely parameter adjustment, and inability to achieve continuous and automatic automation in the prior art, the present invention proposes a computer vision-based grease Color and acid value integrated automatic detection device and method

Method used

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  • Grease color acid value integral automatic detection device and method based on computer vision
  • Grease color acid value integral automatic detection device and method based on computer vision
  • Grease color acid value integral automatic detection device and method based on computer vision

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specific Embodiment approach 1

[0031] Specific embodiment one: illustrate this embodiment in conjunction with Fig. 1, this embodiment is made up of image acquisition device, PC 7, control device 8 and executive mechanism; Image acquisition device is made up of light source 1, CCD digital camera 2 and illumination box 3 The actuator is made up of an electromagnetic stirrer 4, an automatic burette 5 and an oil sample collection device 6; the USB interface of the CCD digital camera 2 is connected to the USB interface of the PC 7, and the first RS-232 serial communication interface of the PC 7 is connected On the RS-232 serial communication interface of the control device 8, the three control terminals of the control device 8 are respectively connected to the controlled terminal of the electromagnetic stirrer 4, the controlled terminal of the automatic burette 5 and the controlled terminal of the oil sampling device 6, The light source 1, the sample bottle A to be tested and the CCD digital camera 2 are sequenti...

specific Embodiment approach 2

[0032] Specific embodiment two: illustrate this embodiment in conjunction with Fig. 2, the steps of this embodiment are as follows:

[0033] Step 1: Start: system initialization, load the program, and then the system starts to run;

[0034] Step 2: Parameter setting: set the type and level of oil samples collected;

[0035] Step 3: Determine whether to start acid value detection: yes, go to step 4; no, go to step 14;

[0036] Step 4: Collect oil samples for acid value detection: control the oil sample collection device 6 through the control device 8 to pump the oil samples in the final output pipeline of the deacidification process into the sample bottle A to be tested according to the set oil sample quality;

[0037] Step 5: Add reagents: first add neutral ethanol-ether mixed solvent to dilute the oil sample to be tested, and then add phenolphthalein indicator;

[0038] Step 6: Titration solution for the first time: carry out potassium hydroxide or hydrogen in the sample bo...

specific Embodiment approach 3

[0054] Specific embodiment three: the difference between this embodiment and specific embodiment two is that the storage parameter module in the PC 7 is stored in the acid value detection according to the type and level set when the collected oil sample quality, the first titration The standard volume V, the standard volume v of microtitration again and the color data of the standard titration end point, as well as the quality and standard color data of the oil sample collected during the color test. Other components and steps are the same as in the second embodiment.

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Abstract

Oil color and luster acid value integrated automatism detection instrument and its method based on computer visual, it relates to the oil detection field. It solves the disadvantage that not integrated, big error, not automatism in the exist technology. The CCD numeral camera links with the PC, the PC outputs the signal to the control instrument and the locale technology parameter adjustment control groupware separately, the control end of the control instrument links with the controlled end of the execute setup, the light source, CCD numeral camera and the sample bottle which is set in the electromagnetism beater are set in the same axes and set in the illumination box. The steps are: firstly, start up and set the parameter; value whether detect the acid value, if it detects, collects the oil sample and add in reagent, then titrates liquid collects the image to value whether reach the end point, if it does not, titrates again, if it reaches, stop titrating and calculates the acid value, detects twice and calculates its average value and output; if it is not, detects the color and luster, compares the standard image data and the collection image data twice, and output the data. This invention based on equipment, its error is small, and the veracity and reliability is high.

Description

technical field [0001] The invention relates to a detection method for oil color and acid value, in particular to a computer technology-based detection method for oil color and acid value. Background technique [0002] Color and acid value are two important indicators to measure the quality of edible oils and fats, so frequent testing and regulation are required in the oil processing process. At present, most domestic enterprises use the laboratory testing methods of sampling, sample delivery, testing, feedback, and adjustment for the inspection of oil quality, mainly relying on the human eyes and work experience of the operators. Human beings carry out this monotonous repetition for a long time. Sexual work will soon cause visual fatigue and mood swings, which will affect the accuracy of the test results, making it difficult to guarantee the measurement accuracy of the product, large detection errors, long detection cycles, and untimely parameter adjustments, resulting in m...

Claims

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Application Information

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IPC IPC(8): G01N33/03G01N21/25G01N21/80G01N21/79
Inventor 王立琦王铭义于殿宇张礼勇张春东屈岩峰
Owner HARBIN UNIV OF COMMERCE
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