CN101539533B - Automatic detecting device and method for battery internal defect - Google Patents
Automatic detecting device and method for battery internal defect Download PDFInfo
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- CN101539533B CN101539533B CN2009100377204A CN200910037720A CN101539533B CN 101539533 B CN101539533 B CN 101539533B CN 2009100377204 A CN2009100377204 A CN 2009100377204A CN 200910037720 A CN200910037720 A CN 200910037720A CN 101539533 B CN101539533 B CN 101539533B
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Abstract
The invention provides an automatic detecting device and a method for battery internal defects. The automatic detecting device comprises a control computer, a ray controlling system and a battery automatic transfer system, wherein the control computer is provided with an intelligent recognition system for defects, the ray controlling system is respectively connected with the battery automatic transfer system and the intelligent recognition system for defects, and the ray controlling system and the battery automatic transfer system are arranged in a ray shield chamber. The method realized by the automatic detecting device comprises the steps: emitting rays from a ray source, penetrating a detected battery, receiving the rays by a ray conversion screen, transmitting the rays to a CCD camerathrough a reflector and an optical lens, transmitting a formed image to the control computer through a long-range cable, recognizing, detecting and judging the image by the intelligent recognition system for defects, and sending corresponding signals to a control circuit to control the transfer device to sort conforming products and nonconforming products. The invention can automatically detect battery internal defects, realizes long-range control, and has high safety, accuracy and high detecting efficiency.
Description
Technical field
The present invention relates to Automatic Measurement Technique, particularly a kind of X ray of automatic identification battery internal defect or gamma-rays pick-up unit and detection method thereof.
Background technology
The purposes of battery is very extensive, relate to various electric equipments such as articles for daily use such as mobile phone, laptop computer, bicycle and automobile, the various electric equipment that also is used for multiple industries such as industry, agricultural, military affairs and medical treatment, almost ubiquitous, have only one to three year the serviceable life of most batteries, and it is huge as the consumables usage quantity.Because the energy content of battery obtains by the chemical energy transfer process, exist the potential safety hazard of picture exploding, so that the quality check of battery and dispatching from the factory is checked is extremely important.Although the detection of a plurality of electrical quantitys aspect is guaranteeing the serviceability and the service efficiency of battery, but battery is through after encapsulating, whether its inner version and the residing final position of each parts meet the design and processes requirement, then need to detect by the technological means that does not influence properties of product and do not damage product structure.The X ray technology is can show the cross sectional shape of the inner defective that exists of workpiece and pass through multi-angle display defective interior location with image in the industrial nondestructive means.Ray detection utilizes X ray that material is had certain penetration capacity, and in the process of penetrating different to different goods and materials and different objects thickness attenuation degree, make the defective can imaging on the TV monitor of film and simulating signal, manyly in recent years directly form digital picture on computers, can judge the structure situation and the quality level of workpiece inside like this by Digital Image Processing by D conversion method.
Prior art is that battery defect detects by X-ray production apparatus, but there is not the computer picture intelligent identifying system, need the tradesman to monitor screen, find defective, manually substandard product is rejected, there is following several respects problem in such quality testing situation: because the battery production amount is big, the operator is operated on the continual production line (1), cause visual fatigue with eye for a long time, make quality assurance system be subjected to artificial subjectivity and disturb; (2) standard that is formed by people's vision is a non-quantification, non-constant yardstick, thereby causes the quality standard fluctuation, directly causes the production quality control instability; (3) human eye is judged the too late computing machine of speed to the treatment of picture fast operation, makes that detection efficiency is low thereby increases the production cost; (4) X ray is a kind of radiant matter harmful to tissue, and long-term work easily makes the operator get occupational illness in the radiation scope of X ray, and the Computer Automatic Recognition system can operate long-range.
Summary of the invention
The objective of the invention is to overcome the shortcoming and defect of prior art, a kind of safety simple to operate, easy to use is provided, can be by the battery internal defect automatic detection device that computer picture defective intelligent identifying system detects the multiple battery inherent vice and machinery is shunted.
Another object of the present invention is to provide a kind of battery internal defect automatic testing method of realizing by said apparatus.
Purpose of the present invention is achieved through the following technical solutions: a kind of battery internal defect automatic detection device, comprise controlling computer, ray control system and battery automatic transmission system, described controlling computer is provided with the defective intelligent identifying system, and described ray control system is connected respectively with battery automatic transmission system, defective intelligent identifying system; It is indoor that described ray control system and battery automatic transmission system are arranged on alpha ray shield.
Described ray control system comprises control circuit, radiographic source, ray conversion screen, reverberator, optical lens, ccd video camera, described radiographic source is connected with control circuit, radiographic source, battery, ray conversion screen, reverberator, optical lens, ccd video camera set gradually by raypath, and described controlling computer is connected respectively with ccd video camera, control circuit.
Described defective intelligent identifying system comprises image input module, image pretreatment module, radiographic source automatic regulating module, defect location module and defect recognition module, described image input module is connected with ccd video camera, and described radiographic source automatic regulating module, defect location module, defect recognition module are connected with control circuit respectively;
Described radiographic source automatic regulating module comprises original histogram calculation module, the histogram stretching module, the contrast level parameter presetting module, histogram translation module, the luminance parameter presetting module, histogram difference computing module and radiographic source adjusting module, described original histogram calculation module, the histogram stretching module, histogram translation module, the histogram difference computing module is connected successively with the radiographic source adjusting module, described contrast level parameter presetting module is connected with the histogram stretching module, described luminance parameter presetting module is connected with histogram translation module, described original histogram calculation module is connected with the image pretreatment module, and described radiographic source adjusting module is connected with control circuit;
Described defect location module comprises position detecting module and dimensional measurement module, described defect recognition module comprises comparison module and identification module, position detecting module, dimensional measurement module, comparison module are connected successively with identification module, the image pretreatment module is connected with position detecting module, and identification module is connected with control circuit.
Described controlling computer is connected respectively with described ccd video camera, control circuit by long-range cable.
Described battery automatic transmission system comprises conveyer and shunting machinery, and described conveyer is connected with shunting machinery, and described conveyer, shunting is mechanical is connected respectively with control circuit.
Described controlling computer is arranged in the pulpit, and described ray is X ray or gamma-rays.
A kind of battery internal defect automatic testing method of being realized by above-mentioned battery internal defect automatic detection device comprises the steps:
(1) radiographic source divergent-ray passes tested battery; The ray conversion screen receives ray, through reverberator and optical lens, is sent to ccd video camera;
(2) become image to be transferred to controlling computer by long-range cable;
(3) defective intelligent identifying system work is carried out image recognition, radiographic source is adjusted automatically, and detects and the judge image;
(4) defective intelligent identifying system transmission corresponding signal carries out the product shunting of certified products and non-certified products to control circuit with control conveyer, shunting machinery, and controls radiographic source and adjust automatically.
Defective intelligent identifying system work in the described step (3) comprises the steps:
(3-1) image input module receives the image that ccd video camera transmits;
(3-2) the image pretreatment module is carried out the denoising pre-treatment step, and carries out image recognition;
(3-3) the radiographic source automatic regulating module is carried out radiographic source and is adjusted automatically, and exports corresponding ray and adjust signal;
(3-4) carry out defect image and detect and pass judgment on, and export the whether qualified corresponding signal of tested battery by defect location module and defect recognition module.
The radiographic source automatic regulating module of described step (3-3) may further comprise the steps:
(3-3-1) original histogram calculation module goes out original histogram according to the image calculation of described step (3-2) image pretreatment module input;
(3-3-2) the histogram stretching module according to contrast level parameter default in the contrast level parameter presetting module to the adjustment that stretches of above-mentioned original histogram; Histogram translation module is carried out the translation adjustment according to luminance parameter default in the luminance parameter presetting module to above-mentioned original histogram, thereby obtains new histogram;
(3-3-3) the histogram difference computing module calculates new histogram and original histograms of images difference;
(3-3-4) the radiographic source adjusting module generates corresponding radiographic source adjustment signal according to difference and exports to control circuit;
The defect location module of described step (3-4) and defect recognition module detect with judge and may further comprise the steps:
(3-4-1) position detecting module is according to the position of the image detection battery case of the input of image pretreatment module, positive pole, negative pole;
(3-4-2) dimensional measurement module is measured the size from inside pipe wall to select location between each both positive and negative polarity, and the size between tip position between each negative pole and the adjacent positive select location;
(3-4-3) comparison module comparative measurements value and predefined reference position;
(3-4-4) identification module is passed judgment on certified products and unacceptable product, and the output corresponding signal is given control circuit.
Defective intelligent identifying system in the described step (3) detects and comprises automatic mode, semi-automatic pattern and three kinds of detecting patterns of artificial mode;
Described automatic mode operation steps comprises: select battery types; Select automatic mode; Enter program execution state, confirm corresponding battery size parameter; Show battery outside dimension, cell image, the sign position of examining on image, and carry out dimensional measurement and judge; Show evaluation result in real time, and show net result;
Described artificial mode operation steps comprises: select battery types; Select artificial mode; Enter program execution state, tested battery is moved to the detection station; Show cell image, adjust and pass judgment on benchmark that computer carries out dimensional measurement and judge, and does final judge by the operator;
The method to set up of described dimensional measurement comprises the steps:
(a) number of setting region of interest ROI;
(b) each area-of-interest is provided with coordinate range and passes judgment on threshold value, and number consecutively is passed judgment on the zone;
(c) setting measurement number is measured numbering and measured numbering at 2, and setting measurement direction and certified products are passed judgment on scope;
The described image recognition of step (3) comprises the steps:
(A) direction of search of image border is set;
(B) in the formed penumbra of ray image zone, a threshold value manually is set, as the anchor point of image border.
Action principle of the present invention is: the core content of defective intelligent identifying system of the present invention is radiographic source automatic regulating module, defect location module and defect recognition module.The radiographic source automatic regulating module is by calculating original histogram, and stretching, translation image, calculate new histogram and original histograms of images difference, thereby the corresponding adjustment signal of output radiographic source is given control circuit, reach the self-adjusting purpose of control radiographic source by control circuit; Defect location module and defective are known other module and are comprised following algorithm: the interval of tube wall and negative pole, tube wall and anodal interval, interval between positive pole and the negative pole, interval between negative pole and the negative pole, brace position probing and dimensional measurement.After x-ray image is sent to controlling computer, the defective intelligent identifying system detects the position of battery case, positive pole, negative pole, the size of mensuration from inside pipe wall to select location between each both positive and negative polarity, and the size between tip position between each negative pole and the adjacent positive select location.Compare with this measured value and the predefined reference position of operating personnel, automatically carrying out certified products and unacceptable product passes judgment on, the evaluation result of each battery is shown on display, to control circuit, the control transfer system is delivered to the unacceptable product place with defective battery for the unacceptable product output signal.Defective intelligent identifying system of the present invention comprises three kinds of detecting patterns; Automatic mode, semi-automatic pattern and artificial mode.Automatic mode is the auto judge result according to the Computer Automatic Recognition system, and detection system is carried out the differentiation of certified products and unacceptable product automatically; Semi-automatic pattern is to increase the manual intervention function on the basis of automatic mode, make it at any time breakpoint to be set and be in halted state, can manually stop the operation of automatic identification procedure at any time, and carrying out artificial defect identification and judge, the battery connecting gear can normally move and also can suspend at some detected states this moment; Artificial mode is complete autotest out of service, and manually the control battery transmits simultaneously, and the motion of connecting gear is by manually controlling, and the defective of battery is also discerned and passed judgment on by the operator.
The present invention has following advantage and effect with respect to prior art:
(1) the present invention can detect automatically to battery internal defect, realizes Long-distance Control, safety, accurate, reliable, the detection efficiency height.
(2) the present invention has three kinds of detecting patterns, can select the mode detection that detects according to actual needs.
(3) the present invention can operate long-range by the Computer Automatic Recognition system, can reduce X ray to the harmful degree of tissue, reduces the possibility that the operator of long-term work in the radiation scope of X ray gets occupational illness.
Description of drawings
Fig. 1 is the structural representation of pick-up unit of the present invention.
Among the figure: 1, ray conversion screen 2, reverberator 3, optical lens 4, pulpit 5, controlling computer 6, conveyer 7, beam shielded enclosure.
Fig. 2 is the functional block diagram of defective intelligent identifying system of the present invention.
Fig. 3 is the process flow diagram of ray automatic regulating module shown in Figure 2.
Fig. 4 is the process flow diagram of defect location module shown in Figure 2 and defect recognition module.
Fig. 5 is the process flow diagram that the battery internal defect automatic mode is passed judgment on.
Fig. 6 is the process flow diagram that the battery internal defect artificial mode is passed judgment on.
Fig. 7 is the process flow diagram of the method to set up of dimensional measurement.
Fig. 8 is the schematic diagram of image recognition, and arrow is depicted as the direction of search among the figure.
Embodiment
The present invention is described in further detail below in conjunction with embodiment and accompanying drawing, but embodiments of the present invention are not limited thereto.
Fig. 1 shows the concrete structure of apparatus of the present invention, as seen from Figure 1, this battery internal defect automatic detection device comprises controlling computer 5, ray control system and battery automatic transmission system, described controlling computer 5 is provided with the defective intelligent identifying system, and described ray control system is connected respectively with battery automatic transmission system, defective intelligent identifying system; Described ray control system and battery automatic transmission system are arranged in the beam shielded enclosure 7.Described ray is an X ray.
Described ray control system comprises radiographic source, ray conversion screen 1, reverberator 2, optical lens 3, ccd video camera and control circuit, described radiographic source is connected with control circuit, radiographic source, battery, ray conversion screen 1, reverberator 2, optical lens 3, ccd video camera set gradually by raypath, and described controlling computer is connected respectively with ccd video camera, control circuit.Described battery automatic transmission system comprises conveyer 6 and shunting machinery, and described conveyer 6 is connected with shunting machinery, and described conveyer, shunting machinery are connected with control circuit respectively.
As shown in Figure 2, described defective intelligent identifying system comprises image input module, image pretreatment module, radiographic source automatic regulating module, defect location module and defect recognition module, described image input module is connected with ccd video camera, and described radiographic source automatic regulating module, defect location module, defect recognition module are connected with control circuit respectively.
Described controlling computer 5 is arranged in the pulpit 4, and controlling computer 5 is connected respectively with ccd video camera, control circuit by long-range cable.Control circuit not only can be controlled conveyer 6, can also control radiographic source and adjust accordingly.
As shown in Figure 3, described radiographic source automatic regulating module comprises original histogram calculation module, the histogram stretching module, the contrast level parameter presetting module, histogram translation module, the luminance parameter presetting module, histogram difference computing module and radiographic source adjusting module, original histogram calculation module, the histogram stretching module, histogram translation module, the histogram difference computing module is connected successively with the radiographic source adjusting module, the contrast level parameter presetting module is connected with the histogram stretching module, the luminance parameter presetting module is connected with histogram translation module, original histogram calculation module is connected with the image pretreatment module, and the radiographic source adjusting module is connected with control circuit.
As shown in Figure 4, described defect location module comprises position detecting module and dimensional measurement module, described defect recognition module comprises comparison module and identification module, position detecting module, dimensional measurement module, comparison module are connected successively with identification module, the image pretreatment module is connected with position detecting module, and identification module is connected with control circuit.
The radiographic source divergent-ray, after passing the tested battery that is placed on the conveyer 6, received by ray conversion screen 1, pass through reverberator 2 and optical lens 3 then, be sent to ccd video camera, become image to be transferred to controlling computer 5 by long-range cable, process defective intelligent identifying system carries out image recognition, radiographic source is adjusted automatically, and detect and the judge image, send corresponding signal and carry out the product shunting of certified products and non-certified products with control gearing, shunting machinery, and the control radiographic source is adjusted automatically to control circuit.
As shown in Figure 2, the flow process of the functional block diagram of defect image intelligent identifying system work is as follows: image input module is responsible for receiving the image that ccd video camera transmits, the image pretreatment module is carried out the denoising pre-treatment step, and carry out image recognition, be divided into two-way then, and output signal to control circuit respectively.This two-way can be described as: the one tunnel is the radiographic source automatic regulating module, is used to adjust radiogenic position, and exports corresponding ray and adjust signal; One the tunnel is defect location module and defect recognition module, and whether qualified, and the output corresponding signal if being used for detection and passing judgment on battery.
As shown in Figure 3, the radiographic source automatic regulating module comprises the steps:
(3-3-1) original histogram calculation module goes out original histogram according to the image calculation of described step (3-2) image pretreatment module input;
(3-3-2) the histogram stretching module according to contrast level parameter default in the contrast level parameter presetting module to the adjustment that stretches of above-mentioned original histogram; Histogram translation module is carried out the translation adjustment according to luminance parameter default in the luminance parameter presetting module to above-mentioned original histogram, thereby obtains new histogram;
(3-3-3) the histogram difference computing module calculates new histogram and original histograms of images difference;
(3-3-4) the radiographic source adjusting module generates corresponding radiographic source adjustment signal according to difference and exports to control circuit.
As shown in Figure 4, when defect location module and defect recognition module detect, may further comprise the steps:
(3-4-1) position detecting module is according to the position of the image detection battery case of the input of image pretreatment module, positive pole, negative pole;
(3-4-2) dimensional measurement module is measured the size from inside pipe wall to select location between each both positive and negative polarity, and the size between tip position between each negative pole and the adjacent positive select location;
(3-4-3) comparison module comparative measurements value and predefined reference position;
(3-4-4) identification module is passed judgment on certified products and unacceptable product, and the output corresponding signal is given control circuit.
As shown in Figure 5, it is as follows to adopt automatic mode to detect the operating process of passing judgment on: system is after the process startup self-detection, by operation interface input battery size or kind to be detected, click " automatic mode " button, " evaluation result " button transfers highlighted state on the interface, shows testing result after promptly detection is finished automatically.Enter program execution state by START button, and confirm to have read the parameter that is provided with of corresponding battery size at the interface.In the image display area at interface, show captured battery radioscopic image, the sign institute very little position of dipping on image, and carry out dimensional measurement and judge, and diagram judge process.The evaluation result viewing area not only shows concrete subitem data and result in real time, also shows final evaluation result.
As shown in Figure 6, it is as follows to adopt artificial mode to detect the operating process of passing judgment on: system is after the process startup self-detection, by operation interface input battery size or kind to be detected, click " artificial mode " button, " evaluation result " button transfers down state on the interface, can not show testing result automatically after promptly detection is finished.Enter program execution state by START button, and confirm to have read the parameter that is provided with of corresponding battery size at the interface.Tested battery is moved to the detection station.Show captured battery radioscopic image in the image display area at interface, the manual adjustment image then can be manually adjusted to satisfaction at software interface if desired.By mouse the hurdle, location is set manually, and can finely tunes with the accurate input coordinate of keyboard.Can manual adjustment pass judgment on benchmark, preserve above all parameter modifications then.Computer carries out dimensional measurement and judge, data presentation in the evaluation result district, but is not carried out final judge, and need the operator to do judge.Preserve evaluation result.
As shown in Figure 8, described image recognition comprises the steps: that (A) is provided with the direction of search of image border; (B) in the formed penumbra of ray image zone, a threshold value manually is set, as the anchor point of image border.The schematic diagram of image recognition can be interpreted as, and at first needs to be provided with the direction of search at edge, is to search for from right to left in the synoptic diagram.Because X source and nonideal pointolite,, but still can cause fuzzy to one-tenth's edge of image though that physical size can be accomplished is very little, form the penumbra region, in this zone, the gray-scale value of image can gradually change, and is reduced to 0% from 100% shown in synoptic diagram.A threshold value need manually be set, as get its half, promptly 50% place is the anchor point at edge, shown in the stain in the synoptic diagram.
As shown in Figure 7, in the dimensional measurement setting up procedure, at first set the number of ROI (being area-of-interest), in our algorithm, limit it and be 10 to the maximum.Then each ROI zone manually is provided with coordinate range and passes judgment on threshold value, and be 1,2,3 etc. each ROI zone number consecutively.The setting measurement number limits it and is 10 to the maximum in our algorithm, in measuring the so many points of number, can select a pair of in twos point, and pass judgment on regional code, and setting measurement direction and certified products are passed judgment on scope.Finish the dimensional measurement setting.
Embodiment 2
Present embodiment removes following characteristics with embodiment 1: described ray is a gamma-rays.
The foregoing description is a preferred implementation of the present invention; but embodiments of the present invention are not restricted to the described embodiments; other any do not deviate from change, the modification done under spirit of the present invention and the principle, substitutes, combination, simplify; all should be the substitute mode of equivalence, be included within protection scope of the present invention.
Claims (8)
1. battery internal defect automatic detection device, it is characterized in that: comprise controlling computer, ray control system and battery automatic transmission system, described controlling computer is provided with the defective intelligent identifying system, and described ray control system is connected respectively with battery automatic transmission system, defective intelligent identifying system; It is indoor that described ray control system and battery automatic transmission system are arranged on alpha ray shield; Described ray control system comprises control circuit, radiographic source, ray conversion screen, reverberator, optical lens, ccd video camera, described radiographic source is connected with control circuit, radiographic source, battery, ray conversion screen, reverberator, optical lens, ccd video camera set gradually by raypath, and described controlling computer is connected respectively with ccd video camera, control circuit; Described defective intelligent identifying system comprises image input module, image pretreatment module, radiographic source automatic regulating module, defect location module and defect recognition module, described image input module is connected with ccd video camera, and described radiographic source automatic regulating module, defect location module, defect recognition module are connected with control circuit respectively;
Described radiographic source automatic regulating module comprises original histogram calculation module, the histogram stretching module, the contrast level parameter presetting module, histogram translation module, the luminance parameter presetting module, histogram difference computing module and radiographic source adjusting module, described original histogram calculation module, the histogram stretching module, histogram translation module, the histogram difference computing module is connected successively with the radiographic source adjusting module, described contrast level parameter presetting module is connected with the histogram stretching module, described luminance parameter presetting module is connected with histogram translation module, described original histogram calculation module is connected with the image pretreatment module, and described radiographic source adjusting module is connected with control circuit;
Described defect location module comprises position detecting module and dimensional measurement module, described defect recognition module comprises comparison module and identification module, position detecting module, dimensional measurement module, comparison module are connected successively with identification module, the image pretreatment module is connected with position detecting module, and identification module is connected with control circuit.
2. battery internal defect automatic detection device according to claim 1 is characterized in that: described controlling computer is connected respectively with described ccd video camera, control circuit by long-range cable.
3. battery internal defect automatic detection device according to claim 2, it is characterized in that: described battery automatic transmission system comprises conveyer and shunting machinery, described conveyer is connected with shunting machinery, and described conveyer, shunting machinery are connected respectively with control circuit.
4. according to each described battery internal defect automatic detection device of claim 1-3, it is characterized in that: described controlling computer is arranged in the pulpit, and described ray is X ray or gamma-rays.
5. a battery internal defect automatic testing method of being realized by the described battery internal defect automatic detection device of claim 3 is characterized in that comprising the steps:
(1) radiographic source divergent-ray passes tested battery; The ray conversion screen receives ray, through reverberator and optical lens, is sent to ccd video camera;
(2) become image to be transferred to controlling computer by long-range cable;
(3) defective intelligent identifying system work is carried out image recognition, radiographic source is adjusted automatically, and detects and the judge image;
(4) defective intelligent identifying system transmission corresponding signal carries out the product shunting of certified products and non-certified products to control circuit with control conveyer, shunting machinery, and controls radiographic source and adjust automatically.
6. battery internal defect automatic testing method according to claim 5 is characterized in that the defective intelligent identifying system work in the described step (3) comprises the steps:
(3-1) image input module receives the image that ccd video camera transmits;
(3-2) the image pretreatment module is carried out the denoising pre-treatment step, and carries out image recognition;
(3-3) the radiographic source automatic regulating module is carried out radiographic source and is adjusted automatically, and exports corresponding ray and adjust signal;
(3-4) carry out defect image and detect and pass judgment on, and export the whether qualified corresponding signal of tested battery by defect location module and defect recognition module.
7. battery internal defect automatic testing method according to claim 6 is characterized in that:
The radiographic source automatic regulating module of described step (3-3) may further comprise the steps:
(3-3-1) original histogram calculation module goes out original histogram according to the image calculation of described step (3-2) image pretreatment module input;
(3-3-2) the histogram stretching module according to contrast level parameter default in the contrast level parameter presetting module to the adjustment that stretches of above-mentioned original histogram; Histogram translation module is carried out the translation adjustment according to luminance parameter default in the luminance parameter presetting module to above-mentioned original histogram, thereby obtains new histogram;
(3-3-3) the histogram difference computing module calculates new histogram and original histograms of images difference;
(3-3-4) the radiographic source adjusting module generates corresponding radiographic source adjustment signal according to difference and exports to control circuit;
The defect location module of described step (3-4) and defect recognition module detect with judge and may further comprise the steps:
(3-4-1) position detecting module is according to the position of the image detection battery case of the input of image pretreatment module, positive pole, negative pole;
(3-4-2) dimensional measurement module is measured the size from inside pipe wall to select location between each both positive and negative polarity, and the size between tip position between each negative pole and the adjacent positive select location;
(3-4-3) comparison module comparative measurements value and predefined reference position;
(3-4-4) identification module is passed judgment on certified products and unacceptable product, and the output corresponding signal is given control circuit.
8. battery internal defect automatic testing method according to claim 5 is characterized in that: the defective intelligent identifying system in the described step (3) detects and comprises automatic mode, semi-automatic pattern and three kinds of detecting patterns of artificial mode;
Described automatic mode operation steps comprises: select battery types; Select automatic mode; Enter program execution state, confirm corresponding battery size parameter; Show battery outside dimension, cell image, the sign position of examining on image, and carry out dimensional measurement and judge; Show evaluation result in real time, and show net result;
Described artificial mode operation steps comprises: select battery types; Select artificial mode; Enter program execution state, tested battery is moved to the detection station; Show cell image, adjust and pass judgment on benchmark that computer carries out dimensional measurement and judge, and does final judge by the operator;
The method to set up of described dimensional measurement comprises the steps:
(a) number of setting region of interest ROI;
(b) each area-of-interest is provided with coordinate range and passes judgment on threshold value, and number consecutively is passed judgment on the zone;
(c) setting measurement number is measured numbering and measured numbering at 2, and setting measurement direction and certified products are passed judgment on scope;
The described image recognition of step (3) comprises the steps:
(A) direction of search of image border is set;
(B) in the formed penumbra of ray image zone, a threshold value manually is set, as the anchor point of image border.
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| CN2009100377204A CN101539533B (en) | 2009-03-11 | 2009-03-11 | Automatic detecting device and method for battery internal defect |
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