CN102539427B - Automatic detecting device for flour wet gluten and detecting method - Google Patents
Automatic detecting device for flour wet gluten and detecting method Download PDFInfo
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- CN102539427B CN102539427B CN201210019611.1A CN201210019611A CN102539427B CN 102539427 B CN102539427 B CN 102539427B CN 201210019611 A CN201210019611 A CN 201210019611A CN 102539427 B CN102539427 B CN 102539427B
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Abstract
Provided are an automatic detecting device for flour wet gluten and a detecting method. The detecting method comprises the steps of preparing a flour sample into paste by utilizing sodium chloride buffer solution, then utilizing the sodium chloride buffer solution to clean the paste and separate amylum, sugar, cellulose, soluble protein and the like in the paste, then removing redundant cleaning solution, and obtaining a remained jelly material which is the wet gluten. The automatic detecting device for the flour wet gluten comprises an industrial control computer (1) connected with a luminance measurement and control circuit (2), a liquid crystal screen (3), a touch screen (4) and a printer, and the luminance measurement and control circuit (2) is connected with a camera device (6). The automatic detecting device for the flour wet gluten and the detecting method are used for judging whether the washing of the flour wet gluten is finished in scientific research institutions and food processing enterprises.
Description
Technical field：
Invention is related to a kind of flour wet gluten automatic detection device and detection method.
Background technology：
Wet gluten be the method that specifies according to frumentum, legume crop seed wet gluten assay method GB (GB 5497) from
In flour, a kind of main of acquisition has plastoelastic glue hydrate by what gliadin matter and glutenin matter formed.By face
Powder sample makes dough with sodium chloride buffer solution, then is washed with sodium chloride buffer solution and isolate starch in dough, sugar, fibre
Dimension element and soluble protein etc., then remove unnecessary cleaning mixture, remaining colloid substance is wet gluten.And finally judge wet gluten
Whether complete to wash, need to check the extrusion liquid of wet gluten with iodine solution, washing during in micro- blueness just can terminate.At present, in scientific research
Mechanism and food processing enterprises, also rely on eye-observation sensation and judge the color change that wet gluten extrusion liquid and iodine solution are reacted, very
Easily affected by the subjective factorss of people it is difficult to accurately judge whether flour wet gluten completes to wash, and wet gluten extrusion liquid
It is to judge whether flour wet gluten completes the sole criterion washing with the color change that iodine solution is reacted, now do not have one kind can solve this
The method of individual problem.
Content of the invention：
The purpose of invention is that offer one kind can be positioned over scientific research institution and food processing enterprises more scientifically and rationally judge
Whether starch is contained, the automatic makeup washed for rapidly and accurately determining flour wet gluten whether to complete in flour wet gluten
Put.
Above-mentioned purpose is realized by following technical scheme：
Flour wet gluten automatic testing method, controls photographic head to shoot wet gluten extrusion liquid and the reacted solution of iodine solution,
The digital pictures shooting are passed to 3.5 inches of veneer industrial control computers, through being based on image procossing in computer application software
Qualitative with the analysis program of mode identification technology calculating wet gluten in content of starch, accurately identify wet gluten whether complete wash,
Carry out parameter setting and feature operation on the touchscreen, the data after color liquid crystal screen display calculates, and pass through printer
Export these data.
Described flour wet gluten automatic testing method, quickly continuously takes pictures with realization, color quick and precisely detects, people
Member's information and the computer application software of detection information intelligent management；Application software mainly includes primary control program, shoots illuminance
Detection and control program, webcam driver modular program, solution colour quickly identify and normalized Analysis program and personal information
Management module program.
Described flour wet gluten automatic testing method, adopts BP nerve net in pickup light luminance detection and control program
Network realizes the conversion of illuminance signal, amplification, collection to realize the data matching between A/D sampled data and standard illuminance value
And the control of illuminance size, so that illuminance is in a rational scope, make shooting image segmentation threshold and feature
It is more accurate to extract, and reduces the deviation that the too high or too low identification that all can make color of illuminance occurs.
Described flour wet gluten automatic testing method, the quick identification of solution colour and normalized Analysis program will be schemed first
As carrying out gray proces, colored image into as gray level image using average method is weighted to RGB three-component.So
Afterwards gray level image is transformed into bianry image, employs maximum entropy method (MEM) to carry out binary conversion treatment to gray level image.Next enter
Row image filtering removes the noise in image, carries out texture analysiss to image first, and then the result according to texture analysiss determines
Which kind of template Nagao wave filter adopts（Including linear template and rectangle template）Which kind of direction to carry out adaptive-filtering in.Finally
Carry out identification and the detection of image, first carrying out recording segmentation threshold during atypia binary conversion treatment to standard picture, should
Threshold value is standby as reference threshold after being multiplied by sensitivity factor, then carries out rim detection to image and find out gray value jumping
The pixel becoming, is made comparisons with reference threshold with the gray value of this pixel, is determined as if gray value is less than reference threshold
Flour wet gluten does not complete to wash, otherwise is just determined as flour wet gluten and completes to wash, and wherein rim detection is using improved
Laplace edge detection algorithm.
The flour wet gluten automatic detection device of described flour wet gluten automatic detection, including：Industrial control computer,
Illuminance telemetry circuit, liquid crystal display screen, touch screen, printer, described illuminance measuring are connected on described industrial control computer
Control circuit connects camera head.
Described flour wet gluten automatic detection device, described camera head includes photographic head, on described photographic head
Lighting source equipped with the highlighted white light-emitting diode with flicker free and camera lens；Described photographic head is that MV300UC type is color
Color technical grade photographic head, described photographic head highest resolution is 2048 × 1536, the maximum shooting speed supporting 38 frames per second,
Signal to noise ratio is more than 43dB, is directly powered by USB interface, and power consumption is less than 1W, and described lighting source is interior 8 and outer 8
Double ring type array structure.
Described flour wet gluten automatic detection device, described industrial control computer is 3.5 inches of veneer industry controls
Computer processed, described 3.5 inches of veneer industrial control computers using have 1GB internal memory chipset AMDLX800CPU,
AMDLX800+CS5536, provides a slot DDR SO-DIMM maximum can support 1GB；3.5 inches of described veneer industry controls
The audio frequency of computer processed supports decoding Realtek ALC203 with AC97, and 3.5 inches of described veneer Industry Control calculate
The network of machine provides 1 10/100Mbps Single RTL8100C network chip group, and described network chip group has PC/
104th, ISA bus, expansion slot and house dog；The mainboard port of 3.5 inches of described veneer industrial control computers includes
Digital I/O port 1 RS-232/422/485 of 7 RS-232, I/O interfaces, 4 USB 2.0 and I/O of display interface connect
1 IDE of mouth, described display interface includes a 18-bit single channel LVDS and a 24-bit TTL port, described
Mainboard be 8 layer printed circuit boards, described printed circuit board (PCB) adopts AT/ATX power supply, and single 5V powers.
Described flour wet gluten automatic detection device, described touch screen is artifical resistance formula, resolution 4096*
4096th, response time<10ms, case hardness 3H, click on life-span 250 gram force degree, 10,000,000 times, stroke life-span 250 gram force degree,
1000000 times, light transmittance 81%, PORT COM be USB interface, described USB interface can in the environment of -10 DEG C to+60 DEG C normally
Work.
Described flour wet gluten automatic detection device, described touch screen is artifical resistance formula, resolution 4096*
4096th, response time<10ms, case hardness 3H, click on life-span 250 gram force degree, 10,000,000 times, stroke life-span 250 gram force degree,
1000000 times, light transmittance 81%, PORT COM be USB interface, described USB interface can in the environment of -10 DEG C to+60 DEG C normally
Work.
Described flour wet gluten automatic detection device, described LCDs are 6.4 or 8.1 inches of double lamp brightness works
Industry color LCD screen, interface mode LVDS, display casing adopts aluminium alloy, firmly light, screen embedded anti-riot strengthens glass, tool
Surface waterproofing function, screen is had to be in hermetic configuration state, resolution is 640*480.
Beneficial effect：
1. the illuminance telemetry circuit of the present invention can achieve that conversion, amplification, collection and the illuminance of illuminance signal are big
Little control, makes illuminance be in a rational scope, makes the extraction of shooting image segmentation threshold and feature more accurate,
Reduce the deviation that the too high or too low identification that all can make color of illuminance occurs, photographic head supports picture size, time of exposure, white
Balance, black appliances equality characteristic are programmable, and control mode is very flexible；The lighting source of photographic head have rapidly, sensitivity
Height, stable performance, highlighted white light-emitting diode low in energy consumption, flicker free are used for image acquisition.
2. the A/D conversion chip of the present invention is wider than other ADC conversion voltage range；Its precision reaches 16, conversion
Speed can reach 200ksps it is sufficient to meet the requirement to accuracy and speed for the system, new A DC chip AD974 with general
ADC chip is compared it is only necessary to single+5V powers, and supports internal reference voltage and external reference voltages simultaneously, its peripheral circuit letter
Single, thus circuit design can be simplified；Meanwhile, AD974 supports that standard SPI interface is also easy to be connected with veneer industrial control computer
Use.
3. the LCDs of the present invention can out of doors clear display image under direct sunlight, can be at -20 DEG C to+60 DEG C
Normal work under environment, display aluminum alloy casing is firmly light, screen embeds anti-riot strengthens glass, has surface waterproofing work(
Energy.
4. the present invention can in real time, science, judge exactly flour wet gluten whether complete wash, solve rely on people observe
Examine sensation and judge the problem that the color change that wet gluten extrusion liquid and iodine solution are reacted is affected by the subjective factorss of people, and propose
A kind of quick identification of new color and normalized algorithm, are scientifically and accurately more food processing enterprises or testing agency is quick
In detection wet gluten, content of starch situation is provided according to it is also possible to allow scientific research institution and food processing enterprises grasp wet gluten at any time
Whether making situation, production technology, equipment and operation are normal.
5. the application software of the present invention can also carry out intelligent management, software to the identity information of all users of service
The report with user identity information and testing result information can be generated after using every time, be highly convenient for storage, note
The management of the hommization such as record and printing.
6. the present invention solves dependence eye-observation and feels to judge that the color change that wet gluten extrusion liquid and iodine solution are reacted is subject to
The problem of the subjective factorss impact of people, makes the process whether detection wet gluten completes to wash more scientific and reasonable.
7. the present invention is based on computer vision technique and image procossing can in real time, fast and automatically detect that flour wet gluten is
The no instrument completing to wash.Solve to rely on the color change that eye-observation sensation judges that wet gluten extrusion liquid and iodine solution are reacted to be subject to people
Subjective factorss impact problem, be scientifically and accurately more to form sediment in food processing enterprises or testing agency's quick detection wet gluten
Powder content situation is provided according to it is also possible to allow scientific research institution and food processing enterprises to grasp wet gluten at any time and to make situation, production
Whether technique, equipment and operation are normal.
Brief description：
Accompanying drawing 1 is the structural representation of this product.
Accompanying drawing 2 is the lighting source position view of photographic head and image acquisition in accompanying drawing 1.
Image procossing and algorithm for pattern recognition schematic diagram that accompanying drawing 3 is used by this product.
Accompanying drawing 4 is the system main program flow chart of this product.
Accompanying drawing 5 is that the illuminance of this product gathers subroutine flow chart.
Accompanying drawing 6 is the quick identification of color and the normalized Analysis program flow diagram of this product.
Specific embodiment：
Embodiment 1：
The flour wet gluten automatic detection device that the monitoring method of the present invention uses, its composition includes：Industry Control calculates
Machine 1, described industrial control computer connects illuminance telemetry circuit 2, liquid crystal display screen 3, touch screen 4, printer 5, described light
Illumination telemetry circuit connects camera head 6.
Embodiment 2：
Flour wet gluten automatic detection device described in embodiment 1, described camera head includes photographic head 7, described
Photographic head connects the lighting source 8 of highlighted white light-emitting diode and the camera lens 9 with flicker free；Described photographic head is
MV300UC type colour technical grade photographic head, described photographic head highest resolution is 2048 × 1536, maximum support 38 frames per second
Shooting speed, signal to noise ratio be more than 43dB, can directly power by USB interface, power consumption be less than 1W, support picture size, exposure
Time, white balance, black appliances equality characteristic are programmable, and control mode is very flexible, and described lighting source is interior 8 with outward
The double ring type array structure of 8.
Embodiment 3：
Flour wet gluten automatic detection device described in embodiment 1, described industrial control computer is 3.5 inches of veneers
Industrial control computer, 3.5 inches of described veneer industrial control computers are using the chipset with 1GB internal memory
AMDLX800CPU, AMDLX800+CS5536, provide a slot DDR SO-DIMM maximum can support 1GB；3.5 described English
The audio frequency of very little veneer industrial control computer supports decoding Realtek ALC203 with AC97, described 3.5 inches of veneers
The network of industrial control computer provides 1 10/100Mbps Single RTL8100C network chip group, described network core
Piece group has PC/104, ISA bus, expansion slot and house dog；The mainboard of 3.5 inches of described veneer industrial control computers
Port includes Digital I/O port 1 RS-232/422/485 of 7 RS-232, I/O interfaces, 4 USB of display interface
2.0 and I/O 1, interface IDE, described display interface includes an a 18-bit single channel LVDS and 24-bit TTL
Port, described mainboard is 8 layer printed circuit boards, and described printed circuit board (PCB) adopts AT/ATX power supply, and single 5V powers.
Embodiment 4：
Flour wet gluten automatic detection device described in embodiment 1, described illuminance telemetry circuit selects ADI company
High-precision A/D conversion chip AD974, as switching device, can be selected for 0V ~+4V or 0V ~+5V or tri- kinds of ± 10V optional conversion electricity
Pressure scope, wider than other ADC conversion voltage range；Its precision reaches 16, and conversion speed can reach 200ksps,
It is sufficient for the requirement to accuracy and speed for the system, new A DC chip AD974 is compared with general ADC chip it is only necessary to single+5V
Power supply, supports internal reference voltage and external reference voltages, its peripheral circuit is simple, thus can simplify circuit design simultaneously.With
When, AD974 supports that standard SPI interface is also easy to be connected with veneer industrial control computer.
Embodiment 5：
Flour wet gluten automatic detection device described in embodiment 1, described touch screen is artifical resistance formula, resolution
4096*4096, response time<10ms, case hardness 3H, click life-span 250 gram force degree, 10,000,000 times, stroke life-span 250 gram force
Degree, 1,000,000 times, light transmittance 81%, PORT COM be USB interface, described USB interface can be in the environment of -10 DEG C to+60 DEG C
Normal work.
Embodiment 6：
Flour wet gluten automatic detection device described in embodiment 1, described LCDs are 6.4 or 8.1 inches pairs
Lamp brightness industry color liquid crystal display screen, interface mode LVDS, can out of doors clear display image under direct sunlight, can arrive at -20 DEG C+
Normal work in the environment of 60 DEG C, display casing are using aluminium alloy, firmly light, screen embeds anti-riot strengthens glass, has table
Face water-proof function, screen are in hermetic configuration state, resolution is 640*480.
Embodiment 7：
A kind of flour wet gluten automatic testing method, controls photographic head to shoot wet gluten extrusion liquid reacted with iodine solution molten
Liquid, the digital pictures of shooting are passed to 3.5 inches of veneer industrial control computers, through being based at image in computer application software
The analysis program of reason and mode identification technology is qualitative to be calculated content of starch in wet gluten, accurately identifies whether wet gluten completes to wash
Wash, carry out parameter setting and feature operation on the touchscreen, the data after color liquid crystal screen display calculates, and by printing
Machine exports these data.
Embodiment 8：
Flour wet gluten automatic testing method described in embodiment 7, with can realize quickly continuously taking pictures, color quick
The accurately computer application software of detection, personal information and detection information intelligent management；Application software mainly include primary control program,
Pickup light luminance detection and control program, webcam driver modular program, solution colour quickly identify and normalized Analysis program
With personnel information management modular program.
Embodiment 9：
Flour wet gluten automatic testing method described in embodiment 7 or 8, adopts in pickup light luminance detection and control program
Realize the data matching between A/D sampled data and standard illuminance value with BP neural network and realize turning of illuminance signal
Change, amplify, gathering and illuminance size control, so that illuminance is in a rational scope, make shooting image split
The extraction of threshold value and feature is more accurate, reduces the deviation that the too high or too low identification that all can make color of illuminance occurs.
Embodiment 10：
Flour wet gluten automatic testing method described in embodiment 7 or 8, in the quick identification of solution colour and normalized Analysis
First image is carried out gray proces in program, using average method is weighted to RGB three-component, coloured image is changed
Become gray level image.Then gray level image is transformed into bianry image, employs maximum entropy method (MEM) to carry out two-value to gray level image
Change is processed.Remove the noise in image followed by image filtering, first texture analysiss are carried out to image, then according to texture
The result of analysis determines which kind of template Nagao wave filter adopts（Including linear template and rectangle template）Which kind of carry out certainly in direction
Adaptive filtering.Finally carry out identification and the detection of image, first carries out recording during atypia binary conversion treatment to standard picture
Segmentation threshold, standby as reference threshold after this threshold value is multiplied by sensitivity factor, then rim detection is carried out to image and look for
Go out the pixel that gray value occurs transition, made comparisons with reference threshold with the gray value of this pixel, if gray value is less than ginseng
Examine threshold value be just determined as flour wet gluten do not complete wash, otherwise be just determined as flour wet gluten complete wash, wherein edge
Detection uses improved Laplace edge detection algorithm.
Embodiment 11：
Flour wet gluten automatic detection device described in above-described embodiment, the hardware configuration shown in accompanying drawing 1, detection means with
3.5 inches of veneer industrial computers are master cpu, are responsible for control and the calculating of whole detection process by it.Single board computer is adopted
With AMDLX800CPU, AMDLX800+CS5536 chipset design, maximum support 1GB internal memory, a DDR SO-DIMM is provided to insert
Groove maximum can support 1GB.Audio-frequency unit supports Realtek ALC203 with AC97 decoding, and network portion provides 1 10/
100Mbps Single RTL8100C network chip group, has PC/104 (ISA bus) expansion slot and house dog.This mainboard
Port includes Digital I/O port, I/O interface and display interface, I/O interface：7 RS-232,1 RS-232/422/
2.0,1 IDE of 485,4 USB, display interface includes a 18-bit single channel LVDS and a 24-bit TTL end
Mouthful, this mainboard is 8 layer printed circuit boards, and using AT/ATX power supply, single 5V powers.The photographic head of shooting image adopts MV300UC
Type colour technical grade photographic head, the highest resolution of this photographic head is 2048 × 1536, the maximum shooting speed supporting 38 frames per second
Degree, signal to noise ratio is more than 43dB, can directly be powered by USB interface, and power consumption is less than 1W, supports picture size, time of exposure, Bai Ping
Weighing apparatus, black appliances equality characteristic are programmable, and control mode is very flexible.And will rapidly sensitivity height, stable performance, low in energy consumption,
The highlighted white light-emitting diode of flicker free, as the lighting source of image acquisition, is circular spy for cooperation cam lens
Point, design lighting source is the double ring type array structure of interior 8 and outer 8.Illuminance telemetry circuit selects the high-precision of ADI company
Degree A/D conversion chip AD974, as switching device, can be selected for 0V ~+4V or 0V ~+5V or tri- kinds of ± 10V optional conversion voltage model
Enclose, wider than other ADC conversion voltage range；Its precision reaches 16, conversion speed can reach 200ksps it is sufficient to
Meet the requirement to accuracy and speed for the system, new A DC chip AD974 compared with general ADC chip it is only necessary to single+5V powers,
Support internal reference voltage and external reference voltages, its peripheral circuit is simple, thus can simplify circuit design simultaneously.Meanwhile,
AD974 supports that standard SPI interface is also easy to be connected with veneer industrial control computer.Can carry out on the touchscreen parameter setting and
Feature operation, touch screen is artifical resistance formula, resolution 4096*4096, response time<10ms, case hardness 3H, click life-span
250 gram force degree, 10,000,000 times, stroke life-span 250 gram force degree, 1,000,000 times, light transmittance more than 81%, PORT COM USB interface, can
Normal work in the environment of -10 DEG C to+60 DEG C.Show acquired results on a liquid crystal display, and can be printed by printer
Go out result.
Embodiment 12：
Flour wet gluten automatic testing method described in above-described embodiment, application software mainly includes primary control program, shooting
Illuminance detection and control program, webcam driver modular program, solution colour quickly identify and normalized Analysis program and people
Member's information management module program.In pickup light luminance detection and control program, research has invented improved BP to realize
Data matching between A/D sampled data and standard illuminance value.The conversion of achievable illuminance signal, amplification, collection and
The control of illuminance size, so that illuminance is in a rational scope, the extraction of shooting image segmentation threshold and feature more
For accurate, the deviation that the too high or too low identification that all can make color of reduction illuminance occurs.To image gray processing, binaryzation, put down
Multiple digital image processing techniques such as sliding filtering, texture analysiss, rim detection have carried out the comparative study of synthesis, and reference model
The correlation theory of identification is it is proposed that a kind of new color quickly identifies and normalized algorithm.First image is carried out at gray scale
Reason, is converted into gray level image coloured image, is weighted averagely obtaining gray level image using to RGB three-component.Then will
Gray level image is transformed into bianry image, employs maximum entropy method (MEM) to carry out binary conversion treatment to gray level image.Followed by figure
As filtering removes the noise in image, the present invention, on the basis of Nagao wave filter, proposes a kind of image based on texture analysiss
Adaptive filter method.The method carries out texture analysiss to image first, and then the result according to texture analysiss determines Nagao filter
Which kind of template ripple device adopts（Including linear template and rectangle template）Which kind of direction to carry out adaptive-filtering in.Finally carry out image
Identification and detection, the present invention proposes a kind of new rapidly and effectively solution colour recognition methodss.First, to standard picture
Carry out recording segmentation threshold during atypia binary conversion treatment, standby as reference threshold after this threshold value is multiplied by sensitivity factor
With；Then, image is carried out with rim detection and finds out the pixel that gray value occurs transition, with gray value and the reference of this pixel
Threshold value is made comparisons, and is determined as flour wet gluten and does not complete to wash, be otherwise just determined as if gray value is less than reference threshold
Flour wet gluten completes to wash, and wherein rim detection uses improved Laplace edge detection algorithm.Additionally, this application software
Intelligent management can also be carried out to the identity information of all users of service, software can generate with use after using every time
Person's identity information and the report of testing result information, are highly convenient for the management of hommization such as storing, record and print.
Claims (2)
1. a kind of flour wet gluten automatic testing method, is characterized in that：Photographic head is controlled to shoot wet gluten extrusion liquid anti-with iodine solution
Solution after answering, the digital pictures of shooting are passed to 3.5 inches of veneer industrial control computers, through base in computer application software
In image procossing and mode identification technology analysis program qualitative calculate wet gluten in content of starch, whether accurately identify wet gluten
Complete to wash, carry out parameter setting and feature operation on the touchscreen, the data after color liquid crystal screen display calculates, and lead to
Cross these data of printer output；With realizing quickly continuously taking pictures, color quick and precisely detects, personal information and detection information
The computer application software of intelligent management；Application software mainly includes primary control program, pickup light luminance detection and control program, takes the photograph
As head drive module program, solution colour quickly identify and normalized Analysis program and personnel information management modular program；Clapping
Take the photograph the number to realize between A/D sampled data and standard illuminance value in illuminance detection and control program using BP neural network
Realize the conversion of illuminance signal, the control of amplification, collection and illuminance size according to matching, make illuminance be in one rationally
In the range of, make the extraction of shooting image segmentation threshold and feature more accurate, reduce that illuminance is too high or too low all to make face
The deviation that the identification of color occurs；Image is carried out gray proces by the quick identification of solution colour and normalized Analysis program first, adopts
Colored image into as gray level image with average method is weighted to RGB three-component；Then gray level image is converted
Become bianry image, employ maximum entropy method (MEM) to carry out binary conversion treatment to gray level image；Remove figure followed by image filtering
Noise in picture, carries out texture analysiss to image first, and then the result according to texture analysiss determines that Nagao wave filter adopts line
Shape template or rectangle template and direction carry out adaptive-filtering, finally carry out identification and the detection of image, first to standard drawing
As carrying out recording segmentation threshold during atypia binary conversion treatment, as reference threshold after this threshold value is multiplied by sensitivity factor
Standby, then image is carried out with rim detection and finds out the pixel that gray value occurs transition, with gray value and the ginseng of this pixel
Examine threshold value to make comparisons, be determined as flour wet gluten if gray value is less than reference threshold and do not complete to wash, otherwise just differentiate
Complete to wash for flour wet gluten, wherein rim detection uses improved Laplace edge detection algorithm.
2. the flour wet gluten automatic detection device described in a kind of claim 1, including：Industrial control computer, it is characterized in that：
Illuminance telemetry circuit, liquid crystal display screen, touch screen, printer, described illuminance measuring are connected on described industrial control computer
Control circuit connects camera head；Described camera head includes photographic head, equipped with the height with flicker free on described photographic head
The lighting source of brilliant white light emitting diode and camera lens；Described photographic head is MV300UC type colour technical grade photographic head, described
Photographic head highest resolution be 2048*1536, the maximum shooting speed supporting 38 frames per second, signal to noise ratio is more than 43dB, directly
Powered by USB interface, power consumption is less than 1W, and described lighting source is the double ring type array structure of interior 8 and outer 8；Described
Industrial control computer be 3.5 inches of veneer industrial control computers, 3.5 inches of described veneer industrial control computers adopt
With having chipset AMDLX800CPU, AMDLX800+CS5536 of 1GB internal memory, provide a slot DDR SO-DIMM maximum
1GB can be supported；The audio frequency of 3.5 inches of described veneer industrial control computers supports decoding Realtek ALC203
WithAC97, the network of 3.5 inches of described veneer industrial control computers provides 1 10/100Mbps Single
RTL8100C network chip group, described network chip group has PC/104, isa bus, expansion slot and house dog；Described
The mainboard port of 3.5 inches of veneer industrial control computers includes Digital I/O port 1 RS- of 7 RS-232, I/O interfaces
232/422/485th, 4 USB 2.0 of display interface and 1 IDE of I/O interface, it is mono- that described display interface includes a 18-bit
Passage LVDS and a 24-bit TTL port, described mainboard is 8 layer printed circuit boards, and described printed circuit board (PCB) adopts
AT/ATX power supply, single 5V powers；Described touch screen is artifical resistance formula, resolution 4096*4096, response time<10ms, table
Surface hardness 3H, click on life-span 250 gram force degree, 10,000,000 times, stroke life-span 250 gram force degree, 1,000,000 times, light transmittance 81%, communication
Port be USB interface, described USB interface can in the environment of -10 DEG C to+60 DEG C normal work；Described LCDs
For 6.4 or 8.1 inches of double lamp brightness industry color liquid crystal display screen, interface mode LVDS, display casing adopts aluminium alloy, firmly gently
Just, shield embedded anti-riot strengthens glass and there is surface waterproofing function, screen is in hermetic configuration state, resolution is 640*480.
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| CN201210019611.1A CN102539427B (en) | 2012-01-23 | 2012-01-23 | Automatic detecting device for flour wet gluten and detecting method |
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| CN201210019611.1A CN102539427B (en) | 2012-01-23 | 2012-01-23 | Automatic detecting device for flour wet gluten and detecting method |
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| CN102539427B true CN102539427B (en) | 2017-02-08 |
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| CN103776770B (en) * | 2014-01-02 | 2016-05-04 | 东华大学 | A kind of multi-path light based on comentropy is derived from adaptive system and method for work thereof |
| CN107490528A (en) * | 2017-06-28 | 2017-12-19 | 成都雄健粉业有限公司 | A kind of wet wheat gluten quick determination method |
| CN108169056A (en) * | 2017-12-05 | 2018-06-15 | 甘肃达利食品有限公司 | A kind of gluten content method for measuring |
| CN108535255B (en) * | 2018-03-27 | 2021-04-27 | 中国刑事警察学院 | Document material evidence making time inspection method |
Citations (1)
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| CN101819158A (en) * | 2010-03-18 | 2010-09-01 | 浙江工商大学 | Automatic detection device of flour bran speck |
-
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101819158A (en) * | 2010-03-18 | 2010-09-01 | 浙江工商大学 | Automatic detection device of flour bran speck |
Non-Patent Citations (3)
| Title |
|---|
| 基于神经网络的数字式光照度计设计;孙来军等;《微型机与应用》;20091231(第22期);第23-24页 * |
| 基于纹理分析的改进型Nagao滤波器;乔常明等;《微型机与应用》;20101231(第5期);第21-23页 * |
| 鼓星计算机检测***;戴常军等;《电子技术应用》;20091231(第11期);112页2.1节 * |
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| CN102539427A (en) | 2012-07-04 |
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