CN203149105U - Digital universal meter automatic calibrating device - Google Patents
Digital universal meter automatic calibrating device Download PDFInfo
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- CN203149105U CN203149105U CN 201320052892 CN201320052892U CN203149105U CN 203149105 U CN203149105 U CN 203149105U CN 201320052892 CN201320052892 CN 201320052892 CN 201320052892 U CN201320052892 U CN 201320052892U CN 203149105 U CN203149105 U CN 203149105U
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- universal meter
- digital
- multimeter
- calibrating device
- automatic calibrating
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Abstract
The utility model discloses a digital universal meter automatic calibrating device. The digital universal meter automatic calibrating device comprises a PC, wherein the PC is in line connection with a standard source and an image acquisition device respectively, and the standard source is in line connection with a universal meter. The digital universal meter automatic calibrating device realizes automatic reading identification leading-in of display measuring data of the universal meter instead of a personal process through artificial electrical conduction check of display measuring data of the universal meter, recording data and calculating error, and improves accuracy while labor cost is reduced.
Description
Technical field
The utility model relates to a kind of digital multimeter automatic calibrator.
Background technology
Various table meters must periodically be examined and determine in the electric system, and the calibration operation amount is bigger.The precision of every kind of tested table meter, range etc. have nothing in common with each other, and in traditional artificial verification process, consult technical specification or calibration tails in the past to determine test point, and the staff need have special knowledge.In addition, different ranges are wanted the connection line of manual reconfiguration and prover, manual switchover multimeter range, need human eye to read the table meter and show data, hand-kept, pointwise hand computation error, the data of required record and calculating are many, spend the long time, directly influenced the work efficiency of calibrating, also have certain false retrieval probability.
The utility model content
For addressing the above problem, the purpose of this utility model is to provide a kind of digital multimeter automatic calibrator and calibration method thereof, it realizes that multimeter shows that the identification of reading automatically of measurement data imports, replaced artificial energising to check that multimeter shows the process of thinking of measurement data, record data and the error of calculation, has reduced labour cost when improving accuracy rate.
The utility model is the purpose that reaches above-mentioned, and the utility model adopts following technical scheme:
A kind of digital multimeter automatic calibrator comprises PC, and described PC is connected with standard source, image collecting device circuit respectively; Described standard source is connected with the multimeter circuit.
Described image collecting device comprises camera.
The beneficial effects of the utility model are: a kind of digital multimeter automatic calibrator that the utility model provides, it realizes that multimeter shows that the identification of reading automatically of measurement data imports, replaced artificial energising to check that multimeter shows the process of thinking of measurement data, record data and the error of calculation, has reduced labour cost when improving accuracy rate.
Description of drawings
Fig. 1 is the structural representation of a kind of digital multimeter automatic calibrator of the utility model;
Fig. 2 is the structural representation of 8 characteristic parameters of image digitization;
Fig. 3 is the structural representation of 4 characteristic parameters of image digitization.
Embodiment
Embodiment 1
As shown in Figure 1, present embodiment provides a kind of digital multimeter automatic calibrator, comprises PC 1, and described PC 1 is connected with standard source 2, image collecting device 3 circuits respectively; Described standard source 2 is connected with multimeter 4 circuits.Described image collecting device 3 comprises camera.
Calibration method as Fig. 2, a kind of digital multimeter automatic calibrator shown in Figure 3, may further comprise the steps: the first, at first PC 1 is measured according to electric current, voltage and the resistance value of the multimeter 4 input correspondences of being examined and determine to quilt by standard source 2 by the multimeter 4 gear ranges examined and determine.The second, then the camera of image collecting device 3 carries out real time video collection to the digital picture that the multimeter of being examined and determine 4 shows, and will gather image and flow to PC 1.The 3rd, after PC 1 carries out the image of gathering filtering, binaryzation, normalization processing successively, again image is carried out numerical characteristic and extract, then the numerical characteristic that will extract carries out template matches with the numeral sample feature database simultaneously; Then matching result is carried out error and calculate, form probation redport automatically.
Image filtering, because there is noise in the influence of the factor of shot digital images camera subject own and environmental baseline, the sampling gaussian filtering can reduce the digital picture distortion.Improve contrast, be subjected to the influence of illumination, the digital gray scale in the image and background contrasts reduce, and adopt the piecewise linear transform of gray scale, improve the numeral of digital picture and the contrast of background.The location, digital block, the image-region that industrial camera obtains is bigger, and the gray-scale value of multimeter display screen is higher and constitute the rectangular area, utilizes this characteristics, and numeric area is navigated to the multimeter display screen area.
Binaryzation, the image of sampling is colour or gray level image, and what calculate during feature extraction is the number percent of black picture element, therefore need carry out binaryzation (black and white) to image and handle, and binaryzation adopts adaptive least-mean-square error algorithm.Filtering is handled, and has some isolated or short baguettes after the binaryzation in the digital picture, and filtering algorithm is to calculate its black picture element number that contains, and is less than 20 with regard to these pixels of filtering.Numeral is cut apart, and obtains to contain a plurality of numerals in the binaryzation digital picture, and digital partitioning algorithm is exactly to find out the zone of each numeral in the multimeter digital picture.Owing between two numerals the slit is arranged, can utilize image vertical projection histogram just can orient the interval that each numeral accounts in the horizontal direction.
Normalization, because different multimeter numerals are not of uniform size, normalization is exactly the image that each digital normalizing is become identical size, the normalization of this project becomes the image of 16 * 8 pixels.
The step that numerical characteristic extracts in the described step 3) is: at first image digitization is normalized to and is divided into that first five equilibrium 21, second five equilibrium 22, C grade divide 23 after 16 * 8 pixels, the quartern 24, the 5th five equilibrium 25, the 6th five equilibrium 26, the 7th five equilibrium 27, eight equal parts 28, add up that the number percent of black picture element obtains corresponding 8 characteristic parameters in each part; Then with image digitization more respectively in the horizontal direction in the middle of in the middle of two row and the vertical direction two row be divided into the 9th five equilibrium 29, the tenth five equilibrium 30, the 11 five equilibrium 31, the tenth bisection 32, add up that the number percent of black picture element obtains corresponding 4 characteristic parameters in each part; Add up the number percent of all black picture element points at last as the 13rd characteristic parameter.
Numeral sample feature database described in the described step 3) is as the artificial neural network training sample, train artificial neural network by error anti-pass learning algorithm off-line learning, be stored in the network with the weights form, the numerical characteristic of extraction carries out template matches in the neural network of having trained.
4, error is passed through error formula described in the described step 3): △=± α %Ux ± β % Um, or △=± α % ±
β % or △=± α % ± n word or △=± α %Ux ± Um ± n word of β % calculate; Wherein α is the relative term coefficient (class of accuracy) of table meter error, and β is the fixterm coefficient of error, and Ux is the table instrumentation amount upper limit (full scale value) for table meter displayed value, Um.Error is calculated by " digital multimeter vertification regulation DL/T980--2005 " and is calculated.
A 4(1/2) bit digital multimeter, instructions be marked with △=± 0.02%Ux ± 2 word, when using the Um=2V range, calculate the error of this table when Ux=1V.With measured value Ux and full scale Um substitution error formula.
Because be 4(1/2) multimeter, thus 2 words=±
=± 0.0001.Be absolute error: △=± 0.02%Ux ± 2 word=± 0.02% * Ux ± 0.01%Um=± 0.0004V; Relative error: △=± 0.02% ± 2 word=± 0.02% ± 0.01%
=± 0.04%.
The described a kind of digital multimeter automatic calibrator of present embodiment and calibration method thereof, it realizes that multimeter shows that the identification of reading automatically of measurement data imports, replaced artificial energising to check that multimeter shows the process of thinking of measurement data, record data and the error of calculation, has reduced labour cost when improving accuracy rate.
Claims (2)
1. digital multimeter automatic calibrator, it is characterized in that: comprise PC (1), described PC (1) is connected with standard source (2), image collecting device (3) circuit respectively; Described standard source (2) is connected with multimeter (4) circuit.
2. a kind of digital multimeter automatic calibrator according to claim 1, it is characterized in that: described image collecting device (3) comprises camera.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201320052892 CN203149105U (en) | 2013-01-29 | 2013-01-29 | Digital universal meter automatic calibrating device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201320052892 CN203149105U (en) | 2013-01-29 | 2013-01-29 | Digital universal meter automatic calibrating device |
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| CN203149105U true CN203149105U (en) | 2013-08-21 |
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| CN 201320052892 Expired - Lifetime CN203149105U (en) | 2013-01-29 | 2013-01-29 | Digital universal meter automatic calibrating device |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103076589A (en) * | 2013-01-29 | 2013-05-01 | 绍兴电力局 | Automatic calibrating device and calibrating method of digital multimeter |
| CN104597422A (en) * | 2015-01-12 | 2015-05-06 | 柳州铁道职业技术学院 | Touching-type universal meter calibration instrument |
-
2013
- 2013-01-29 CN CN 201320052892 patent/CN203149105U/en not_active Expired - Lifetime
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103076589A (en) * | 2013-01-29 | 2013-05-01 | 绍兴电力局 | Automatic calibrating device and calibrating method of digital multimeter |
| CN103076589B (en) * | 2013-01-29 | 2015-08-05 | 绍兴电力局 | A kind of digital multimeter automatic calibrator and calibration method thereof |
| CN104597422A (en) * | 2015-01-12 | 2015-05-06 | 柳州铁道职业技术学院 | Touching-type universal meter calibration instrument |
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| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CX01 | Expiry of patent term |
Granted publication date: 20130821 |
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| CX01 | Expiry of patent term |