JP2021133296A - Color sorter - Google Patents

Color sorter Download PDF

Info

Publication number
JP2021133296A
JP2021133296A JP2020030909A JP2020030909A JP2021133296A JP 2021133296 A JP2021133296 A JP 2021133296A JP 2020030909 A JP2020030909 A JP 2020030909A JP 2020030909 A JP2020030909 A JP 2020030909A JP 2021133296 A JP2021133296 A JP 2021133296A
Authority
JP
Japan
Prior art keywords
sorted
grains
rice
optical detection
color sorter
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.)
Granted
Application number
JP2020030909A
Other languages
Japanese (ja)
Other versions
JP7428966B2 (en
Inventor
陽理 山口
Yori Yamaguchi
陽理 山口
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.)
Satake Engineering Co Ltd
Satake Corp
Original Assignee
Satake Engineering Co Ltd
Satake Corp
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 Satake Engineering Co Ltd, Satake Corp filed Critical Satake Engineering Co Ltd
Priority to JP2020030909A priority Critical patent/JP7428966B2/en
Publication of JP2021133296A publication Critical patent/JP2021133296A/en
Application granted granted Critical
Publication of JP7428966B2 publication Critical patent/JP7428966B2/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Abstract

To provide a color sorter which is capable of examining in detail at what degrees of proportions grains colored due to insect pest or the like, grains damaged due to tarnished rice or the like, green immature grains, unhulled rice, colored grains such as milky white grains, and foreign matters such as pebbles, constitute in a waste product removed from a raw material.SOLUTION: A color sorter 1 includes: a chute 3 installed to make matters to be sorted flow down; optical detection means 6 for detecting matters to be sorted falling down from a lower end of the chute 3; ejector means 11 for selectively eliminating matters to be sorted on the basis of a detection result according to the optical detection means 6; a discharge hopper 5 for separately discharging the matters to be sorted that have been sorted by the ejector means 11; and calculation means 9 capable of switching between a sorting mode for sorting matters to be sorted into nondefective articles and defective articles on the basis of imaging signals of the optical detection means 6, and a quality determining mode for determining the defective articles to be respective qualities out of grains damaged due to insect pest or the like, grains damaged due to tarnished rice or the like, green immature rice, unhulled rice, milky white grains and foreign matters, and for displaying the determined qualities during a pause in the sorting mode.SELECTED DRAWING: Figure 1

Description

本発明は、原料から除去された不良品の中に、害虫等による着色粒や、ヤケ米等による被害粒や、青未熟粒や、籾米や、乳白粒などの着色粒や、小石などの異物がどの程度の割合であるかを詳細に調べることができる色彩選別機に関する。 In the present invention, among defective products removed from raw materials, colored grains such as pests, damaged grains such as burnt rice, immature blue grains, colored grains such as paddy rice and milky white grains, and foreign substances such as pebbles It relates to a color sorter that can examine in detail what proportion of rice is.

従来、農家等で生産した穀物(例えば、玄米及び精米)を集荷して流通に供する際は、品位等検査(農家から出荷した後の穀物検査のこと)等が行われる。この品位等検査は、国の法律で「米穀の生産者は品位等検査を受けることができる」と規定(農産物検査法第3条)され、これに基づき実施される。すなわち、農家等の米穀の生産者は、公正かつ円滑な取引をすること、米穀の流通ルート上でのトレーサビリティを確保して品質への信頼を獲得すること等を目的に、集荷のための組織において(例えば、JA(農協)など)積極的に品位等検査を受けているのが現状である。 Conventionally, when grains produced by a farmer or the like (for example, brown rice and polished rice) are collected and distributed, quality inspection (grain inspection after shipping from the farmer) or the like is performed. This inspection of quality, etc. is stipulated by the national law that "rice producers can undergo inspection of quality, etc." (Article 3 of the Agricultural Products Inspection Law), and is carried out based on this. In other words, rice producers such as farmers are organizations for collection for the purpose of conducting fair and smooth transactions, ensuring traceability on the rice distribution route, and gaining trust in quality. (For example, JA (Agricultural Cooperative), etc.) is actively undergoing quality inspections.

JA(農協)などでは、現在、農産物検査員が目視で品位等の鑑定を行っているが、最近は着色粒などの混入割合を測定できる穀粒品位判別器(例えば、特許文献1参照)の開発が進展しており、測定器が補助的に活用されるようになっている。また、着色粒などを除去するための色彩選別機は、農家等での利用を目的として小型化・低価格化を実現しながら、性能を向上した機種も登場してきている(例えば、特許文献2参照)。 At JA (Agricultural Cooperatives), agricultural product inspectors are currently visually assessing the grade, etc., but recently, a grain grade discriminator that can measure the mixing ratio of colored grains, etc. (see, for example, Patent Document 1) Development is progressing, and measuring instruments are being used as an auxiliary. In addition, as a color sorter for removing colored grains and the like, a model having improved performance while realizing miniaturization and price reduction for use by farmers and the like has appeared (for example, Patent Document 2). reference).

しかしながら、特許文献2記載の色彩選別機にあっては、害虫等による着色粒、ヤケ米等による被害粒、青未熟粒、籾米、乳白粒などの着色粒、及び小石などの異物をすべて一つに含めて不良品として規定し、良品と区別されている。そして、例えば、良品として選別されて区分けされた精品の重量と、不良品として選別されて区分けされた選別物の重量とを比較して、原料に対する不良品混入率を算出したり、当該色彩選別機の選別率を算出したりしている(例えば、特許文献3)。
つまり、従来の色彩選別機は、不良品の中に、害虫等による着色粒や、ヤケ米等による被害粒や、青未熟粒や、籾米や、乳白粒などの着色粒や、小石などの異物がどの程度の割合であるかを詳細に調べることができなかった。このような不良品中の不良物の分析は、従来は、除去された不良品を黒色カルトンに取り分けて目視で確認したり、不良品を穀粒品位判別器に投入して別の測定器で分析したりしていた。
However, in the color sorter described in Patent Document 2, colored grains caused by pests, damaged grains caused by burnt rice, etc., colored grains such as blue immature grains, paddy rice, milky white grains, and foreign substances such as pebbles are all one. It is defined as a defective product by including it in the above, and is distinguished from a non-defective product. Then, for example, the weight of the refined product sorted as a non-defective product and the weight of the sorted product sorted as a defective product are compared to calculate the defective product mixing ratio with respect to the raw material, or the color selection. The sorting rate of the machine is calculated (for example, Patent Document 3).
In other words, in the conventional color sorter, among defective products, colored grains such as pests, damaged grains such as burnt rice, immature blue grains, colored grains such as paddy rice and milky white grains, and foreign substances such as pebbles It was not possible to investigate in detail how much the ratio was. Conventionally, the analysis of defective products among such defective products is performed by separating the removed defective products into black carton and visually checking them, or by putting the defective products into a grain grade discriminator and using another measuring instrument. I was analyzing it.

特開2016−125867号公報Japanese Unexamined Patent Publication No. 2016-125867 特許第6052287号公報Japanese Patent No. 6052287 特開平10−216650号公報Japanese Unexamined Patent Publication No. 10-216650

本発明は上記問題点にかんがみ、原料から除去された不良品の中に、害虫等による着色粒や、ヤケ米等による被害粒や、青未熟粒や、籾米や、乳白粒などの着色粒や、小石などの異物がどの程度の割合であるかを詳細に調べることができる色彩選別機を提供することを技術的課題とする。 In view of the above problems, among the defective products removed from the raw materials, the present invention includes colored grains such as pests, damaged grains such as burnt rice, blue immature grains, paddy rice, and colored grains such as milky white grains. It is a technical issue to provide a color sorter capable of examining in detail the proportion of foreign substances such as pebbles.

上記課題を解決するため本発明は、被選別物となる原料を流下させるために傾斜配置したシュートと、前記シュートの下端から落下する被選別物を検出する光学検出手段と、前記光学検出手段による検出結果に基づいて前記被選別物を選別排除するエジェクタ手段と、前記エジェクタ手段により選別された被選別物を各別に排出する排出ホッパと、を備えた色彩選別機であって、
前記光学検出手段の撮像信号に基づいて被選別物を良品と不良品とに選別する選別モードと、該選別モードが休止中に前記不良品を害虫等による被害粒、ヤケ米等による被害粒、青未熟粒、籾米、乳白粒及び異物の各品位に品位判別して表示する品位判別モードと、に切り換え可能な演算手段を備える、という技術的手段を講じた。
In order to solve the above problems, the present invention comprises an inclined chute for allowing a raw material to be sorted to flow down, an optical detection means for detecting an object to be sorted falling from the lower end of the chute, and the optical detection means. It is a color sorter provided with an ejector means for selecting and eliminating the object to be sorted based on the detection result, and a discharge hopper for discharging the items to be sorted separately by the ejector means.
A sorting mode in which the object to be sorted is sorted into a non-defective product and a defective product based on the imaging signal of the optical detection means, and the defective product is damaged by pests or the like, damaged grains by burnt rice or the like while the sorting mode is paused. A technical measure was taken to provide a calculation means that can be switched to a grade determination mode in which the grades of blue immature grains, paddy rice, milky white grains, and foreign substances are discriminated and displayed.

請求項2記載の発明では、前記演算手段において前記品位判別モードを選択したときは、前記演算手段は、前記光学検出手段から得られたR,G,Bの各信号を二値化するとともに、この値を加算、減算、積算又は除算による演算処理を行って分光比を求め、該分光比と前記R,G又はBの値とから品位の特徴づけを行って品位判別することを特徴とする。 In the invention according to claim 2, when the quality determination mode is selected in the calculation means, the calculation means binarizes each of the R, G, and B signals obtained from the optical detection means, and at the same time, the calculation means binarizes the R, G, and B signals. It is characterized in that this value is subjected to arithmetic processing by addition, subtraction, integration or division to obtain a spectral ratio, and the quality is characterized by the spectral ratio and the value of R, G or B to determine the quality. ..

請求項3記載の発明では、前記演算手段には、今年度の選別データと、前年度の選別データとを複数記憶して比較できるよう記憶手段が設けられていることを特徴とする。 The invention according to claim 3 is characterized in that the calculation means is provided with a storage means so that a plurality of selected data of the current year and a plurality of selected data of the previous year can be stored and compared.

請求項1記載の発明によれば、被選別物となる原料を流下させるために傾斜配置したシュートと、前記シュートの下端から落下する被選別物を検出する光学検出手段と、前記光学検出手段による検出結果に基づいて前記被選別物を選別排除するエジェクタ手段と、前記エジェクタ手段により選別された被選別物を各別に排出する排出ホッパと、を備えた色彩選別機であって、前記光学検出手段の撮像信号に基づいて被選別物を良品と不良品とに選別する選別モードと、該選別モードが休止中に前記不良品を害虫等による被害粒、ヤケ米等による被害粒、青未熟粒、籾米、乳白粒及び異物の各品位に品位判別して表示する品位判別モードと、に切り換え可能な演算手段を備える、という技術的手段を講じたので、
被選別物を選別モードで単に良品と不良品とに選別するだけではなく、前記選別モードが休止中に選別済の不良品の中に、害虫等による被害粒、ヤケ米等による被害粒、青未熟粒、籾米、乳白粒及び異物がどの程度の割合であるかを詳細に調べることができ、わざわざ穀粒品位判別器に投入することなく、品位判別を実行することができる。
According to the first aspect of the present invention, the chute is tilted to allow the raw material to be sorted to flow down, the optical detection means for detecting the object to be sorted falling from the lower end of the chute, and the optical detection means. A color sorter comprising an ejector means for sorting and eliminating the object to be sorted based on the detection result and a discharge hopper for discharging the items to be sorted separately by the ejector means, wherein the optical detection means. A sorting mode that sorts the material to be sorted into non-defective products and defective products based on the imaging signal of Since we have taken technical measures to provide a calculation means that can be switched to a quality discrimination mode that discriminates and displays the grades of paddy rice, milky white grains, and foreign substances.
In addition to simply sorting the items to be sorted into non-defective products and defective products in the sorting mode, among the defective products that have been sorted while the sorting mode is inactive, damaged grains due to pests, etc., damaged grains due to burnt rice, etc., blue It is possible to investigate in detail the proportion of immature grains, paddy rice, milky white grains and foreign substances, and it is possible to perform grade determination without having to bother to put it in the grain grader.

また、請求項2記載の発明によれば、前記演算手段が、前記光学検出手段から得られたR,G,Bの各信号を二値化するとともに、この値を加算、減算、積算又は除算による演算処理を行って分光比を求め、該分光比と前記R,G又はBの値とから品位の特徴づけを行って品位判別するものであるから、従来、判別が困難であった茶色系統のヤケ米と籾米との判別や、緑色系統の青未熟粒と白色系統の乳白粒との判別が容易にできるようになった。 Further, according to the invention of claim 2, the calculation means binarizes each signal of R, G, B obtained from the optical detection means, and adds, subtracts, integrates or divides the values. The spectral ratio is obtained by performing the calculation process according to the above, and the quality is determined by characterizing the quality from the spectral ratio and the value of R, G or B. It has become easier to distinguish between burnt rice and paddy rice, and between green immature blue grains and white milky grains.

また、請求項3記載の発明によれば、前記演算手段には、今年度の選別データと、前年度の選別データとを複数記憶して比較できるよう記憶手段が設けられているので、今年度が豊作であったとか、今年度が不作であったとか、データにより客観的に把握して見える化し、農家に対しお知らせすることができる。 Further, according to the invention of claim 3, the calculation means is provided with a storage means so that a plurality of selected data of the current year and a plurality of selected data of the previous year can be stored and compared. It is possible to objectively grasp and visualize from the data, such as whether the crop was a good harvest or the crop was poor this year, and inform the farmers.

本発明の色彩選別機の概略側断面図である。It is a schematic side sectional view of the color sorter of this invention. 色彩選別機の制御回路を示すブロック図である。It is a block diagram which shows the control circuit of a color sorter. 品位判別区分としての6種類の分光比から品位を判定する模式図である。It is a schematic diagram which judges the quality from 6 kinds of spectral ratios as a quality discrimination classification. 表示部の画面に表示された分析結果の表示例である。This is a display example of the analysis result displayed on the screen of the display unit.

図1は本発明の色彩選別機の概略側断面図である。図1に示すように、色彩選別機1は、被選別物供給部2、シュート3、光学選別部4及び排出ホッパ5を備えている。被選別物供給部2は、タンク2aと、被選別物をシュート3に供給する振動フィーダ2bとを備える。シュート3は、所定幅を有して振動フィーダ2bの先端側下方位置に傾斜した状態で配置され、振動フィーダ2bから供給される被選別物を自然流下させる。光学選別部4は、シュート3の下端から落下する被選別物の落下軌跡の前後に配設される一対の光学検出装置6a,6b、照明装置7a,7b,7c、背景8a,8bなどから構成される。光学検出装置6a,6bからの撮像信号は演算手段9に入力されるように電気的に接続されている。演算手段9では、光学検出装置6a,6bから入力された撮像信号に基づいて被検査物を良品と不良品と、該不良品を複数の品位、すなわち、害虫等による着色粒、ヤケ米等による被害粒、青未熟粒、籾米と、乳白粒などの着色粒及び異物の6種類に品位判別することができる。また、演算手段9からは、該演算手段9からの出力信号がエジェクタ駆動手段10に入力されるよう電気的に接続されている。すなわち、演算手段9により良品と不良品とに判別し、判別された判別結果の信号が、不良品を排除するエジェクタ駆動手段10に出力されるのである。さらに、エジェクタ駆動手段10からはエジェクタ装置11に電気的に接続され、エジェクタ装置11に排除信号を出力するよう構成されている。排出ホッパ5は、良品排出樋12及び不良品排出樋13を有し、エジェクタ装置11により被選別物を良品と、良品以外の不良品(この不良品を排除するときは、同時にどのような不良品であるかの品位判別の確認もできる)とに分別して排出する。すなわち、良品は良品排出樋12から機外に排出され、不良品は不良品排出樋13から機外に排出される。 FIG. 1 is a schematic side sectional view of the color sorter of the present invention. As shown in FIG. 1, the color sorter 1 includes an object to be sorted 2, a chute 3, an optical sorter 4, and a discharge hopper 5. The object to be sorted 2 includes a tank 2a and a vibration feeder 2b that supplies the object to be sorted to the chute 3. The chute 3 has a predetermined width and is arranged in a state of being inclined downward on the tip end side of the vibration feeder 2b, and allows the object to be sorted supplied from the vibration feeder 2b to flow down naturally. The optical sorting unit 4 is composed of a pair of optical detection devices 6a, 6b, lighting devices 7a, 7b, 7c, background 8a, 8b, etc., which are arranged before and after the falling locus of the object to be sorted falling from the lower end of the chute 3. Will be done. The imaging signals from the optical detection devices 6a and 6b are electrically connected so as to be input to the arithmetic means 9. In the calculation means 9, the inspected object is classified into a non-defective product and a defective product based on the imaging signals input from the optical detection devices 6a and 6b, and the defective product is classified into a plurality of grades, that is, colored grains caused by pests, burnt rice, and the like. The grade can be discriminated into 6 types: damaged grains, blue immature grains, paddy rice, colored grains such as milky white grains, and foreign substances. Further, the calculation means 9 is electrically connected so that the output signal from the calculation means 9 is input to the ejector drive means 10. That is, the calculation means 9 discriminates between a non-defective product and a defective product, and the signal of the discriminating result is output to the ejector driving means 10 for eliminating the defective product. Further, the ejector driving means 10 is electrically connected to the ejector device 11 and is configured to output an exclusion signal to the ejector device 11. The discharge hopper 5 has a non-defective product discharge gutter 12 and a defective product discharge gutter 13, and the ejector device 11 selects a non-defective product and a non-defective product other than the non-defective product (what kind of non-defective product is simultaneously eliminated by the ejector device 11). It is also possible to confirm the quality of the product as to whether it is a non-defective product). That is, the non-defective product is discharged to the outside of the machine from the non-defective product discharge gutter 12, and the defective product is discharged to the outside of the machine from the defective product discharge gutter 13.

次に、色彩選別機1の制御回路について詳述する。色彩選別機1の演算手段9は、被選別物を良品と不良品とに判別し、さらに、不良品の中身を、害虫等による着色粒、ヤケ米等による被害粒、青未熟粒、籾米と、乳白粒などの着色粒及び小石などの異物に品位判別するものである。 Next, the control circuit of the color sorter 1 will be described in detail. The calculation means 9 of the color sorter 1 discriminates the object to be sorted into a non-defective product and a defective product, and further divides the contents of the defective product into colored grains caused by pests, damaged grains caused by burnt rice, blue immature grains, and paddy rice. , Colored grains such as milky white grains and foreign substances such as pebbles are used for quality determination.

図2は色彩選別機1の制御回路を示すブロック図である。図2に示すように、光学検出装置(撮像カメラ)6a(又は6b)は、CCDラインセンサにより構成されていて、R(赤)、G(緑)、B(青)の各色に感度を有するR素子6r、G素子6g、B素子6bを備えている。光学検出装置(撮像カメラ)6a(又は6b)の受光信号は、R素子6r、G素子6g、B素子6bに供給され、それぞれR信号、G信号、B信号に光電変換されて出力される。R,G,B信号は、演算手段9内に設けた増幅器14,15,16にそれぞれ入力され、さらに、信号処理回路17に入力される。信号処理回路17では、R,G,Bの各信号の入力値を二値化するとともに、加算、減算、積算又は除算による演算処理を行って信号変換を行う。この信号変換は、光学検出装置(撮像カメラ)6a(又は6b)で受光した信号を特徴づけて被検査物を特定することであり、この信号が比較回路18に入力されることで、被検査物の品位判別、良否判別が行われる。 FIG. 2 is a block diagram showing a control circuit of the color sorter 1. As shown in FIG. 2, the optical detection device (imaging camera) 6a (or 6b) is composed of a CCD line sensor and has sensitivity to each color of R (red), G (green), and B (blue). It includes an R element 6r, a G element 6g, and a B element 6b. The light receiving signal of the optical detection device (imaging camera) 6a (or 6b) is supplied to the R element 6r, the G element 6g, and the B element 6b, and is photoelectrically converted into an R signal, a G signal, and a B signal, respectively, and output. The R, G, and B signals are input to the amplifiers 14, 15, and 16 provided in the arithmetic means 9, respectively, and further input to the signal processing circuit 17. In the signal processing circuit 17, the input values of the R, G, and B signals are binarized, and arithmetic processing by addition, subtraction, integration, or division is performed to perform signal conversion. This signal conversion is to characterize the signal received by the optical detection device (imaging camera) 6a (or 6b) to identify the object to be inspected, and when this signal is input to the comparison circuit 18, it is to be inspected. The quality of the product is judged and the quality of the product is judged.

符号19は遅延回路であり、光学検出装置(撮像カメラ)6a(又は6b)で被選別物を観察する位置とエジェクタ装置11により不良品を排除する排除位置との距離に応じて噴射タイミングを決定するものである。前記比較器18から遅延回路19を経て排除信号がエジェクタ駆動手段10に出力される。エジェクタ駆動手段10により決定した排除信号はエジェクタ装置11に出力される。 Reference numeral 19 is a delay circuit, and the injection timing is determined according to the distance between the position where the object to be sorted is observed by the optical detection device (imaging camera) 6a (or 6b) and the exclusion position where the ejector device 11 eliminates defective products. Is what you do. An exclusion signal is output from the comparator 18 to the ejector driving means 10 via the delay circuit 19. The exclusion signal determined by the ejector driving means 10 is output to the ejector device 11.

図2に示す信号処理回路17では、被選別物の各粒について二値化処理を行って得られたR,G,Bの各値から、分光比R/Gと、分光比R/Bと、を演算する。そして、この演算した値を、比較回路18に格納された判別式(例えば、特開平9−292344号公報の図6乃至図10などを参照)と比較し、例えば、6種類の品位に判別する。 In the signal processing circuit 17 shown in FIG. 2, the spectral ratio R / G and the spectral ratio R / B are obtained from the R, G, and B values obtained by binarizing each grain of the object to be sorted. , Is calculated. Then, the calculated value is compared with a discriminant stored in the comparison circuit 18 (see, for example, FIGS. 6 to 10 of JP-A-9-292344), and for example, six types of grades are discriminated. ..

図3は、品位判別区分としての6種類の分光比から品位を判定するアルゴリズムである。図3を参照すれば、例えば、6種類の品位判別区分として、(a)害虫による被害粒:カメムシ被害粒の領域とそれ以外の領域が良品であることを区分(領域の図示はせず)、(b)ヤケ米等による着色粒とそれ以外の領域が良品であることを区分(領域の図示はせず)、(c)青未熟粒とそれ以外の領域が良品であることを区分(領域の図示はせず)、(d)乳白粒とそれ以外の領域が良品であることを区分(領域の図示はせず)、(e)籾(=斜線部の領域)とそれ以外の領域が良品であることを区分、(f)異物とそれ以外の領域は良品であることを区分する(領域の図示はせず)、といったプログラムをあらかじめ組んでおくと、品位判別の統計処理を速やかに実行することができる。なお、このような品位判別を行う品位判別モードにあっては、処理の滞りが起こらないよう、演算手段9の演算処理能力に負荷がかからない、選別モードの休止中に行うことが望ましい。
農家用の色彩選別機にあっては、選別作業中にもみ殻の破片や、糠粉などの塵埃が舞い上がり、光学検出装置(撮像カメラ)6a(又は6b)のガラス面に塵埃等が付着することがある。ガラス面に塵埃が付着すると、光学的な監視が正確に行われなくなる。そこで、農家用の色彩選別機では、選別作業の途中に休止時間を設けて、塵埃を除去するためのクリーニング(ガラス面に付着した塵埃をワイパー等を稼働させて清掃・除去したり、ガラス面に付着した塵埃を噴風によるエアレーションにより清掃・除去したりする)作業時間が設けられている。このクリーニング作業時間中は、演算手段9の演算処理能力の負荷が比較的軽いので、この間に品位判別の統計処理(品位判別モード)を行うのが好ましい。
FIG. 3 is an algorithm for determining the quality from six types of spectral ratios as the quality discrimination classification. With reference to FIG. 3, for example, as six types of grade discrimination classifications, (a) Pest-damaged grains: the area of stink bug-damaged grains and the other areas are classified as non-defective products (areas are not shown). , (B) Classification of colored grains made of burnt rice and other areas as non-defective products (areas are not shown), (c) Classification of blue immature grains and other areas as non-defective products (c) Areas are not shown), (d) Pentatomoids and other areas are classified as non-defective (areas are not shown), (e) Paddy (= shaded areas) and other areas. If a program is set up in advance, such as classifying that is a non-defective product and (f) classifying foreign substances and other areas as non-defective products (areas are not shown), statistical processing for quality determination can be performed quickly. Can be executed. In the grade determination mode for performing such grade determination, it is desirable to perform the grade determination mode while the sorting mode is paused so that the arithmetic processing capacity of the arithmetic means 9 is not overloaded so that the processing is not delayed.
In a color sorter for farmers, debris of rice husks and dust such as rice husks fly up during sorting work, and dust and the like adhere to the glass surface of the optical detection device (imaging camera) 6a (or 6b). Sometimes. If dust adheres to the glass surface, optical monitoring will not be performed accurately. Therefore, in the color sorter for farmers, a rest period is set in the middle of the sorting work, and cleaning for removing dust (dust adhering to the glass surface is cleaned and removed by operating a wiper or the like, or the glass surface is cleaned. (Cleaning and removing dust adhering to the glass by aeration with a blast) Since the load of the arithmetic processing capacity of the arithmetic means 9 is relatively light during this cleaning work time, it is preferable to perform the statistical processing of the grade determination (grade determination mode) during this period.

図4の符号20は色彩選別機の表示部であり、色彩選別後の品位結果や選別結果を表示するとともに、色彩選別機1の操作をする操作部を兼ねている。図4は表示部20の画面20aに表示された分析結果の表示例であり、図4(a)に示すものは、被選別物を前述の品位区分「(e)」の籾とそれ以外の良品とを区分した結果を示し、本実施例では、被選別物のうち良品が93%、不良品である籾が7%の占有率であった。図4(b)に示すものは、6種の品位で分析したものを集計し、得られた不良品の詳細な分析結果(円グラフ)である。本実施例では、被選別物のうち良品が93%、不良品が7%の占有率であり、不良品のうち、青未熟が2%、残りの品位がそれぞれ1%ずつの結果であった。 Reference numeral 20 in FIG. 4 is a display unit of the color sorter, which displays the quality result and the sorting result after the color sorting and also serves as an operation unit for operating the color sorter 1. FIG. 4 is a display example of the analysis result displayed on the screen 20a of the display unit 20, and in the one shown in FIG. The result of classifying the non-defective product is shown. In this example, the non-defective product accounted for 93% and the defective paddy accounted for 7%. What is shown in FIG. 4 (b) is a detailed analysis result (pie chart) of the obtained defective products obtained by totaling the analyzes of 6 types of grades. In this example, good products accounted for 93% and defective products accounted for 7% of the sorted products, and among the defective products, blue immature 2% and the remaining grades 1% each. ..

なお、演算手段9には記憶手段21が接続されており(図2参照)には、この記憶手段21には、今年度の選別データと昨年度の選別データとを複数のデータを記録できるように形成するとよい。また、記憶手段21には、営農指導のアドバイス等をデータベース化して記憶しておくこともできる。これにより、今年度の圃場での稲の栽培条件など農家に対してフィードバックし、次年度の栽培管理(例えば、翌年の灌水、施肥、農薬散布時期)に役立てるよう営農指導することもできる(次年度の栽培管理についてのアドバイス等)。 A storage means 21 is connected to the calculation means 9 (see FIG. 2) so that the storage means 21 can record a plurality of data of this year's selection data and last year's selection data. It is good to form. Further, the storage means 21 can store the advice of farming guidance and the like in a database. In this way, it is possible to provide feedback to farmers such as the rice cultivation conditions in the field this year, and to give farming guidance to help the cultivation management of the next year (for example, irrigation, fertilization, pesticide spraying time of the next year) (next). Advice on cultivation management for the year, etc.).

例えば、次年度の対策としては、「施肥管理」「刈り取り時期」を考慮した栽培管理指針(アドバイス)を農家に対して提供したり、次年度の栽培管理指針(アドバイス)として、収穫時の雨を考慮して「刈り取り前後の管理」を考慮することを農家に対し提供したり、次年度の栽培管理指針(アドバイス)として、「種籾消毒や害虫防除計画」を重視することを農家に対し提供することができる。 For example, as measures for the next year, we will provide farmers with cultivation management guidelines (advice) that take into consideration "fertilization management" and "cutting time", and as cultivation management guidelines (advice) for the next year, rain at the time of harvest. Providing farmers to consider "management before and after harvesting" in consideration of the above, and providing farmers with an emphasis on "seed paddy disinfection and pest control plans" as a cultivation management guideline (advice) for the next fiscal year. can do.

以上、本発明のいくつかの実施形態について説明してきたが、上記した発明の実施形態は、本発明の理解を容易にするためのものであり、本発明を限定するものではない。本発明は、その趣旨を逸脱することなく、変更、改良され得るとともに、本発明にはその均等物が含まれる。また、上述した課題の少なくとも一部を解決できる範囲、または、効果の少なくとも一部を奏する範囲において、特許請求の範囲および明細書に記載された各構成要素の組み合わせ、または、省略が可能である。 Although some embodiments of the present invention have been described above, the above-described embodiments of the present invention are for facilitating the understanding of the present invention and do not limit the present invention. The present invention can be modified and improved without departing from the spirit of the present invention, and the present invention includes equivalents thereof. Further, in the range where at least a part of the above-mentioned problems can be solved, or in the range where at least a part of the effect is exhibited, the scope of claims and the combination of each component described in the specification can be combined or omitted. ..

1 色彩選別機
2 被選別物供給部
3 シュート
4 光学選別部
5 排出ホッパ
6 光学検出装置
7 照明装置
8 背景
9 演算手段
10 エジェクタ駆動手段
11 エジェクタ装置
12 良品排出樋
13 不良品排出樋
14 増幅器
15 増幅器
16 増幅器
17 信号処理回路
18 比較回路
19 遅延回路
20 表示部
1 Color sorter 2 Sorted object supply unit 3 Shoot 4 Optical sorting unit 5 Discharge hopper 6 Optical detection device 7 Lighting device 8 Background 9 Computational means 10 Ejector drive means 11 Ejector device 12 Good product discharge gutter 13 Defective product discharge gutter 14 Amplifier 15 Amplifier 16 Amplifier 17 Signal processing circuit 18 Comparison circuit 19 Delay circuit 20 Display unit

Claims (3)

被選別物となる原料を流下させるために傾斜配置したシュートと、前記シュートの下端から落下する被選別物を検出する光学検出手段と、前記光学検出手段による検出結果に基づいて前記被選別物を選別排除するエジェクタ手段と、前記エジェクタ手段により選別された被選別物を各別に排出する排出ホッパと、を備えた色彩選別機であって、
前記光学検出手段の撮像信号に基づいて被選別物を良品と不良品とに選別する選別モードと、該選別モードが休止中に前記不良品を害虫等による被害粒、ヤケ米等による被害粒、青未熟粒、籾米、乳白粒及び異物の各品位に品位判別して表示する品位判別モードと、に切り換え可能な演算手段を備えたことを特徴とする色彩選別機。
The chute arranged at an angle to allow the raw material to be sorted to flow down, the optical detection means for detecting the object to be sorted falling from the lower end of the chute, and the object to be sorted based on the detection result by the optical detection means. It is a color sorter provided with an ejector means for sorting and eliminating and a discharge hopper for separately discharging the objects to be sorted by the ejector means.
A sorting mode in which the object to be sorted is sorted into a non-defective product and a defective product based on the imaging signal of the optical detection means, and the defective product is damaged by pests or the like, damaged grains by burnt rice or the like while the sorting mode is paused. A color sorter equipped with a calculation means that can be switched to a grade discrimination mode in which grades are discriminated and displayed for each grade of blue immature grains, paddy rice, milky white grains, and foreign substances.
前記演算手段が、前記光学検出手段から得られたR,G,Bの各信号を二値化するとともに、この値を加算、減算、積算又は除算による演算処理を行って分光比を求め、該分光比と前記R,G又はBの値とから品位の特徴づけを行って前記品位判別モードにおける品位判別をしてなる請求項1記載の色彩選別機。 The calculation means binarizes each of the R, G, and B signals obtained from the optical detection means, and performs calculation processing by adding, subtracting, integrating, or dividing these values to obtain the spectral ratio. The color sorter according to claim 1, wherein the grade is characterized from the spectral ratio and the value of R, G or B, and the grade is discriminated in the grade discriminating mode. 前記演算手段には、今年度の選別データと、前年度の選別データとを複数記憶して比較できるよう記憶手段が設けられてなる請求項1又は2記載に記載の色彩選別機。 The color sorter according to claim 1 or 2, wherein the calculation means is provided with a storage means so that a plurality of sort data of the current year and a plurality of sort data of the previous year can be stored and compared.
JP2020030909A 2020-02-26 2020-02-26 color sorter Active JP7428966B2 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP2020030909A JP7428966B2 (en) 2020-02-26 2020-02-26 color sorter

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP2020030909A JP7428966B2 (en) 2020-02-26 2020-02-26 color sorter

Publications (2)

Publication Number Publication Date
JP2021133296A true JP2021133296A (en) 2021-09-13
JP7428966B2 JP7428966B2 (en) 2024-02-07

Family

ID=77659641

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2020030909A Active JP7428966B2 (en) 2020-02-26 2020-02-26 color sorter

Country Status (1)

Country Link
JP (1) JP7428966B2 (en)

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2001300434A (en) * 2000-04-20 2001-10-30 Satake Corp Apparatus for distinguishing granular material
JP2003098096A (en) * 2001-09-26 2003-04-03 Yamamoto Co Ltd Grain image reading device
JP2010042326A (en) * 2008-08-08 2010-02-25 Satake Corp Optical cereal grain sorting apparatus
JP2016029927A (en) * 2014-07-29 2016-03-07 ヤンマー株式会社 Combine harvester

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2001300434A (en) * 2000-04-20 2001-10-30 Satake Corp Apparatus for distinguishing granular material
JP2003098096A (en) * 2001-09-26 2003-04-03 Yamamoto Co Ltd Grain image reading device
JP2010042326A (en) * 2008-08-08 2010-02-25 Satake Corp Optical cereal grain sorting apparatus
JP2016029927A (en) * 2014-07-29 2016-03-07 ヤンマー株式会社 Combine harvester

Also Published As

Publication number Publication date
JP7428966B2 (en) 2024-02-07

Similar Documents

Publication Publication Date Title
US7218775B2 (en) Method and apparatus for identifying and quantifying characteristics of seeds and other small objects
Shahin et al. A machine vision system for grading lentils
Gunasekaran et al. Evaluating quality factors of corn and soybeans using a computer vision system
US6567538B1 (en) Real time measurement system for seed cotton or lint
US5835206A (en) Use of color image analyzers for quantifying grain quality traits
KR20150104105A (en) Systems and methods for sorting seeds
US11650189B2 (en) Grain separation automation and processing equipment and possible materials of identification, classification and quantification of the same; application of process and use of equipment
JPS61107139A (en) Apparatus for measuring grade of grain of rice
Shahin et al. Lentil type identification using machine vision
JP7392375B2 (en) Cultivation management system using grain inspection equipment
Lloyd et al. Evaluati on of two methods for separating head rice from brokens for head rice yield determination
Delwiche et al. Analysis of grain quality at receival
JP2021062315A5 (en)
JP4402915B2 (en) Grain sorting device
Mohan et al. Classification of bulk cereals using visible and NIR reflectance characteristics
JP2021133296A (en) Color sorter
JP2022146983A (en) Grain inspection device and growth management system using the same
Allred et al. The use of visual examination for determining the presence of gluten-containing grains in gluten free oats and other grains, seeds, beans, pulses, and legumes
Ingles et al. Handling effects on commingling and residual grain in an elevator
JP2003251282A (en) System for measuring and deciding grade and class of strawberry
JP2022015784A (en) Grain inspection device and cultivation management system using the same
EP1431744B1 (en) Evaluation of particulate material
KR20200140616A (en) Grain grading system and method
Sujitha et al. FPGA Implementation of CALIB_IO, Wave and Clock Generation Modules for Grain Sorting Machine
JPH09218158A (en) Method for evaluating apperarance of object

Legal Events

Date Code Title Description
A621 Written request for application examination

Free format text: JAPANESE INTERMEDIATE CODE: A621

Effective date: 20221223

A977 Report on retrieval

Free format text: JAPANESE INTERMEDIATE CODE: A971007

Effective date: 20230914

A131 Notification of reasons for refusal

Free format text: JAPANESE INTERMEDIATE CODE: A131

Effective date: 20230920

A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20230928

TRDD Decision of grant or rejection written
A01 Written decision to grant a patent or to grant a registration (utility model)

Free format text: JAPANESE INTERMEDIATE CODE: A01

Effective date: 20231227

A61 First payment of annual fees (during grant procedure)

Free format text: JAPANESE INTERMEDIATE CODE: A61

Effective date: 20240109

R150 Certificate of patent or registration of utility model

Ref document number: 7428966

Country of ref document: JP

Free format text: JAPANESE INTERMEDIATE CODE: R150