Deprecated: The each() function is deprecated. This message will be suppressed on further calls in /home/zhenxiangba/zhenxiangba.com/public_html/phproxy-improved-master/index.php on line 456
JPH0247703B2 - - Google Patents
[go: Go Back, main page]

JPH0247703B2 - - Google Patents

Info

Publication number
JPH0247703B2
JPH0247703B2 JP56108238A JP10823881A JPH0247703B2 JP H0247703 B2 JPH0247703 B2 JP H0247703B2 JP 56108238 A JP56108238 A JP 56108238A JP 10823881 A JP10823881 A JP 10823881A JP H0247703 B2 JPH0247703 B2 JP H0247703B2
Authority
JP
Japan
Prior art keywords
color
grains
grain
processing circuit
ripeness
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Lifetime
Application number
JP56108238A
Other languages
Japanese (ja)
Other versions
JPS5810649A (en
Inventor
Aijiro Kaneko
Kazuhiro Negishi
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Kaneko Agricultural Machinery Co Ltd
Original Assignee
Kaneko Agricultural Machinery Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Kaneko Agricultural Machinery Co Ltd filed Critical Kaneko Agricultural Machinery Co Ltd
Priority to JP10823881A priority Critical patent/JPS5810649A/en
Publication of JPS5810649A publication Critical patent/JPS5810649A/en
Publication of JPH0247703B2 publication Critical patent/JPH0247703B2/ja
Granted legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/02Food
    • G01N33/10Starch-containing substances, e.g. dough

Landscapes

  • Engineering & Computer Science (AREA)
  • Food Science & Technology (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Medicinal Chemistry (AREA)
  • Physics & Mathematics (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Sorting Of Articles (AREA)

Description

【発明の詳細な説明】 本発明は、穀粒の色によつてその種類を判別
し、同時に熟度係数を算出することができる穀類
の種類および熟度識別装置に関する。
DETAILED DESCRIPTION OF THE INVENTION The present invention relates to a grain type and ripeness identification device that is capable of determining the type of grain based on its color and simultaneously calculating a ripeness coefficient.

籾、小麦、大麦などの穀類の水分測定にあたつ
ては、測定に用いる試料に異種類の穀粒や熟度の
低い穀粒が混入していたり、あるいは異物が混入
していると、正確な測定結果が得られないので、
測定に用いる試料はそれらのものの混入がなく、
しかも一定以上の熟度のものでなければならな
い。
When measuring the moisture content of grains such as paddy, wheat, and barley, accuracy may be compromised if the sample used for measurement contains grains of a different type, grains with low ripeness, or foreign matter. Since accurate measurement results cannot be obtained,
The sample used for measurement is free of these substances.
Moreover, it must be of a certain level of ripeness.

ところで、従来上記の如き測定に用いる試料
は、抽出した穀類を目で観察し、異種類の穀粒や
熟度の低い穀粒を選別除去することによつて得て
いるが、この作業を適切に行うにはかなりの熟練
を要する許りか、また手数がかかるので、抽出し
た穀類から測定に用いる試料を自動的に得るよう
にすることが強く望まれるところである。
By the way, conventionally, samples used for the above measurements are obtained by visually observing extracted grains and sorting out grains of different types and grains with low ripeness, but this process is not carried out properly. However, it is highly desirable to be able to automatically obtain samples for measurement from extracted grains, since this requires considerable skill and time.

本発明は前記に鑑み、穀粒の色を感知し、それ
を分析することにより、穀類の種類を判別すると
共に、その熟度係数を算出することができ、その
結果に応じて良試料と不良試料とを分ける選別機
構を作動させることにより、水分等の測定に用い
る試料を自動的に得ることができる穀類の種類お
よび熟度識別装置を提供しようとしたものであつ
て、以下に本発明の構成を添附図面に示された好
適な一実施例について説明する。
In view of the above, the present invention detects the color of grains and analyzes it to determine the type of grain and calculate its ripeness coefficient. The present invention is intended to provide a grain type and ripeness identification device that can automatically obtain a sample for measuring moisture content, etc. by operating a sorting mechanism that separates the sample from the sample. A preferred embodiment of the configuration shown in the accompanying drawings will be described.

第1図において、1は試料とする穀粒の供給ホ
ツパ、2は良試料収納槽、3は不良試料収納槽で
あつて、供給ホツパ1から1粒ずつ落下する穀粒
は、ダンパ4によつて良試料収納槽2または不良
試料収納槽3のいずれかに収納されるようになつ
ている。5は落下する穀粒に光線を照射する光
源、6はカラーセンサであつて、該カラーセンサ
6は穀粒から反射する光を受けてその表面の色を
感知するものである。7は光源5とカラーセンサ
6間の遮光板である。
In FIG. 1, 1 is a supply hopper for grains to be sampled, 2 is a good sample storage tank, and 3 is a bad sample storage tank. It is designed to be stored in either the good sample storage tank 2 or the bad sample storage tank 3. Numeral 5 is a light source that irradiates a falling grain with light, and 6 is a color sensor that detects the color of the surface of the grain by receiving light reflected from the grain. 7 is a light shielding plate between the light source 5 and the color sensor 6.

8は信号処理回路であつて、該信号処理回路8
は、前記カラーセンサ6によつて感知された色の
波長を電圧信号に変換する作用をさせるものであ
る。信号処理回路8の電圧出力はアナログ・デジ
タル変換回路9を経てデジタル信号に変換された
うえ、インターフエース回路10を経て計算回路
等の識別処理回路11に送込まれる。この識別処
理回路11は、前記信号処理回路8の電圧信号出
力から穀粒の種類を判別し、かつその熟度係数を
算出する作用をするものである。そして、上記識
別処理回路11の識別信号出力はインターフエー
ス回路10を経てダンパ駆動回路12へ送られ
る。ダンパ駆動回路12はダンパ4を傾動させる
ソレノイド13の動作を制御するものであつて、
識別処理回路11から送られる信号が異種類の穀
粒を判別した場合、およびその穀粒の熟度係数が
所定値以下である場合は、ダンパ4を不良試料収
納槽3側へ傾斜させ、それ以外の場合にはダンパ
4を良試料収納槽2側へ傾斜するように動作させ
るものである。なお、前記ダンパ4、ダンパ駆動
回路12およびソレノイド13によつて選別機構
が構成されている。
8 is a signal processing circuit, and the signal processing circuit 8
is for converting the wavelength of the color sensed by the color sensor 6 into a voltage signal. The voltage output of the signal processing circuit 8 is converted into a digital signal via an analog-to-digital conversion circuit 9, and then sent via an interface circuit 10 to an identification processing circuit 11 such as a calculation circuit. This identification processing circuit 11 has the function of determining the type of grain from the voltage signal output of the signal processing circuit 8 and calculating its ripeness coefficient. The identification signal output from the identification processing circuit 11 is sent to the damper drive circuit 12 via the interface circuit 10. The damper drive circuit 12 controls the operation of the solenoid 13 that tilts the damper 4, and
When the signal sent from the identification processing circuit 11 discriminates different types of grains, and when the ripeness coefficient of the grains is less than a predetermined value, the damper 4 is tilted toward the defective sample storage tank 3, and the grains are removed. In other cases, the damper 4 is operated to tilt toward the good sample storage tank 2 side. Note that the damper 4, the damper drive circuit 12, and the solenoid 13 constitute a sorting mechanism.

第2図は信号処理回路8における色の波長と出
力電圧の関係を示したものである。この図で明ら
かなように、カラーセンサ6で感知された色の波
長信号が信号処理回路8に入力すると、信号処理
回路8にはそれに対応する電圧出力が生ずるよう
になつている。
FIG. 2 shows the relationship between color wavelength and output voltage in the signal processing circuit 8. As is clear from this figure, when the wavelength signal of the color sensed by the color sensor 6 is input to the signal processing circuit 8, the signal processing circuit 8 generates a corresponding voltage output.

次に本発明の作用について説明する。 Next, the operation of the present invention will be explained.

今、水分測定等のための試料を得るにあたり、
抽出した適当量の穀粒を穀粒の供給ホツパ1に投
入すれば、該供給ホツパ1から穀粒は1粒ずつ一
定の速度で落下する。そして、落下中の穀粒には
光源5から光源が照射され、その反射光線はカラ
ーセンサ6に入射し、カラーセンサ6は穀粒の色
を感知する。カラーセンサ6で感知された色の波
長信号は信号処理回路8に送られて電圧信号に変
換され、所要の信号処理がなされたうえ計算回路
等の識別処理回路11に送込まれる。
Now, when obtaining samples for moisture measurement etc.
When an appropriate amount of the extracted grains is put into the grain supply hopper 1, the grains fall one by one from the supply hopper 1 at a constant speed. Then, the falling grains are irradiated with a light source from the light source 5, and the reflected light beams enter the color sensor 6, which senses the color of the grains. The color wavelength signal sensed by the color sensor 6 is sent to a signal processing circuit 8, converted into a voltage signal, subjected to necessary signal processing, and sent to an identification processing circuit 11 such as a calculation circuit.

識別処理回路11においては、色の波長の範囲
と穀粒の落下速度から穀粒の種類が判別され、か
つ同時に色の波長からその種類の穀粒の熟度係数
が算出される。
In the identification processing circuit 11, the type of grain is determined from the color wavelength range and the falling speed of the grain, and at the same time, the ripeness coefficient of the grain of that type is calculated from the color wavelength.

識別処理回路11において穀粒の種類が判別さ
れ、熟度係数が算出されると、その信号が選別機
構の駆動回路12に送られるので、色を感知され
た穀粒が異種類のものであつたり、また熟度係数
が所定値以下であるダンパ4が不良試料収納槽3
側へ傾斜し、その穀粒は不良試料収納槽3へ収納
される。なお、穀粒が上記以外の場合には、ダン
パ4が良試料収納槽2側へ傾斜しているので、落
下する穀粒は良試料収納槽2へ収納される。良試
料収納槽2に収納された穀粒は、異種類の穀粒お
よび熟度係数の低い穀粒の混入がなく、水分測定
等のための良試料を得ることができる。
When the type of grain is determined in the identification processing circuit 11 and the ripeness coefficient is calculated, the signal is sent to the drive circuit 12 of the sorting mechanism, so that it can be determined whether the grain whose color has been detected is of a different type or not. or the damper 4 whose ripeness coefficient is less than a predetermined value is placed in the defective sample storage tank 3.
The grains are tilted to the side and stored in the defective sample storage tank 3. Note that when the grains are other than those mentioned above, the damper 4 is inclined toward the good sample storage tank 2, so that the falling grains are stored in the good sample storage tank 2. The grains stored in the good sample storage tank 2 are free from contamination with different types of grains and grains with low ripeness coefficients, and it is possible to obtain good samples for moisture measurement and the like.

要するに本発明は、流動する穀粒の色を感知す
るカラーセンサー6と、該カラーセンサー6によ
つて感知した色の波長を電圧信号に変換する信号
処理回路8と、該信号処理回路8の電圧信号を入
力して色の波長の範囲と穀粒の落下速度から穀粒
の種類を判別し、かつ同時に色の波長からその種
類の穀粒の熟度計数を算出する識別処理回路11
と、上記識別処理回路11の判断に応じて、落下
する穀粒を良試料または不良試料とに分けるダン
パ4を備えた選別機構を設けたから、穀粒の色に
よつてその種類を判別し、同時に熟度計数を算出
することができ、籾、小麦、大麦などの穀類を良
試料または不良試料に自動的に、しかも確実に分
けて水分測定に用いる良試料を得ることができる
効果を奏する。
In short, the present invention includes a color sensor 6 that senses the color of flowing grains, a signal processing circuit 8 that converts the wavelength of the color sensed by the color sensor 6 into a voltage signal, and a voltage signal of the signal processing circuit 8. Identification processing circuit 11 which inputs a signal and determines the type of grain from the color wavelength range and grain falling speed, and at the same time calculates the ripeness count of that type of grain from the color wavelength.
According to the judgment of the above-mentioned identification processing circuit 11, a sorting mechanism equipped with a damper 4 which separates the falling grains into good samples and bad samples is provided, so that the type of the grains can be determined based on the color of the grains. At the same time, the ripeness count can be calculated, and grains such as paddy, wheat, and barley can be automatically and reliably divided into good samples and bad samples to obtain good samples for use in moisture measurement.

【図面の簡単な説明】[Brief explanation of the drawing]

図面は本発明の一実施例を示すものであつて、
第1図は装置の構成を示したブロツク図、第2図
は信号処理回路の作用説明図である。 4……選別機構のダンパ、5……光源、6……
カラーセンサ、8……信号処理回路、11……識
別処理回路、22……選別機構のダンパ駆動回
路、13……同じくソレノイド。
The drawings show one embodiment of the invention,
FIG. 1 is a block diagram showing the configuration of the device, and FIG. 2 is an explanatory diagram of the operation of the signal processing circuit. 4... Damper of sorting mechanism, 5... Light source, 6...
Color sensor, 8...signal processing circuit, 11...identification processing circuit, 22...damper drive circuit of the sorting mechanism, 13...also solenoid.

Claims (1)

【特許請求の範囲】[Claims] 1 流動する穀粒の色を感知するカラーセンサー
と、該カラーセンサーによつて感知した色の波長
を電圧信号に変換する信号処理回路と、該信号処
理回路の電圧信号出力を入力して色の波長の範囲
と穀粒の落下速度から穀粒の種類を判別し、かつ
同時に色の波長からその種類の穀粒の熟度計数を
算出する識別処理回路と、上記識別処理回路の判
断に応じて、落下する穀粒を良試料または不良試
料とに分けるダンパを備えた選別機構を設けたこ
とを特徴とする穀類の種類および熟度識別装置。
1. A color sensor that detects the color of flowing grains, a signal processing circuit that converts the wavelength of the color detected by the color sensor into a voltage signal, and a voltage signal output of the signal processing circuit that is input to generate the color. an identification processing circuit that determines the type of grain from the wavelength range and the falling speed of the grain, and at the same time calculates the ripeness count of that type of grain from the color wavelength; A grain type and ripeness identification device, characterized in that it is provided with a sorting mechanism equipped with a damper that separates falling grains into good samples and bad samples.
JP10823881A 1981-07-13 1981-07-13 Discriminating device for sort and ripeness of cereals Granted JPS5810649A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP10823881A JPS5810649A (en) 1981-07-13 1981-07-13 Discriminating device for sort and ripeness of cereals

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP10823881A JPS5810649A (en) 1981-07-13 1981-07-13 Discriminating device for sort and ripeness of cereals

Publications (2)

Publication Number Publication Date
JPS5810649A JPS5810649A (en) 1983-01-21
JPH0247703B2 true JPH0247703B2 (en) 1990-10-22

Family

ID=14479565

Family Applications (1)

Application Number Title Priority Date Filing Date
JP10823881A Granted JPS5810649A (en) 1981-07-13 1981-07-13 Discriminating device for sort and ripeness of cereals

Country Status (1)

Country Link
JP (1) JPS5810649A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105363691A (en) * 2015-11-05 2016-03-02 岳睿 Optical-mechanical-electrical integrated device for removing impurities in rice

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH01262711A (en) * 1988-04-14 1989-10-19 Topy Ind Ltd Grader for seed
JPH05223705A (en) * 1992-02-10 1993-08-31 Kubota Corp Grain sorting equipment

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS57365Y2 (en) * 1976-07-31 1982-01-06

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105363691A (en) * 2015-11-05 2016-03-02 岳睿 Optical-mechanical-electrical integrated device for removing impurities in rice

Also Published As

Publication number Publication date
JPS5810649A (en) 1983-01-21

Similar Documents

Publication Publication Date Title
EP0511184B1 (en) Method and device for infrared analysis, especially with regard to food
US4037970A (en) Optical analyzer for agricultural products
JP3874345B2 (en) Method for determining the position of a shadow line in a photoelectric array and critical angle refractometer using the same method
JPH0134337B2 (en)
GB2069692A (en) Photometric method and photometric apparatus for determining courses of reactions
JPS635240A (en) Method for measuring reflectance of a sample in a reflectance measurement device and method for calibrating a spectrophotometer
US4168437A (en) Optoelectric multi-sensor measuring apparatus and a method for measuring surface flatness therewith
EP0674345A2 (en) Wafer notch dimension measuring apparatus
EP0939896A1 (en) Infrared measuring gauges
US12152974B2 (en) Method for determining the particle size distribution of an aerosol and aerosol measuring device
JPH0247703B2 (en)
NL8401665A (en) Optical device for measuring skin reflectivity - uses photoelectric head to compare different areas of skin surface
JPH0961351A (en) Moisture content detector, moisture content measurement method and moisture content measurement device
JP2636051B2 (en) Particle measurement method and device
US3845400A (en) Signal analyzing apparatus
JP3269499B2 (en) Rice internal quality detector
JPS6327649B2 (en)
JPH0875657A (en) Discriminating equipment of grain of rice
KR100413120B1 (en) Urine analysis system using CIS
JP3615870B2 (en) X-ray liquid level inspection system
WO2001004612A2 (en) A method of determining the content of a component in a fluid sample and an apparatus therefor
JPH0233095B2 (en)
JP2002139443A (en) Quality discrimination apparatus for grain, etc.
JPH06138043A (en) Device for judging whole grain rate
EP0045495B1 (en) Laser nephelometric system