JP3798880B2 - Multistage weight sorting apparatus and method - Google Patents

Description

【００５８】
但し、βは移動係数（β＜０〜１）であり、リミット値Ｌｎの移動具合を示すものであり、数値が小さいほどリミット値Ｌｎの移動量は小さく（鈍く）なり、大きいほど大きく（敏感に）移動する。
また、理想比率Ｊは、０．５に設定記憶され、この０．５はこのグレーゾーンＧでランクｎとランクｎ＋１に対し被計量物を均等な個数に振り分けたい旨を示す。この理想比率Ｊの数値は可変設定可能である。
【００５９】
被計量物の計量値ＤがあるグレーゾーンＧの範囲内であり、このグレーゾーンＧｎにてランクｎに振り分けた回数Ａと、他方のランクｎ＋１に振り分けた回数Ｂが同一の状態で所定時期Ｘに上記式（５）を演算実行すると、それまでのリミット値Ｌｎは移動しないことになる。
一方、このグレーゾーンＧにてランクｎに振り分けた回数Ａが、ランクｎ＋１に振り分けた回数Ｂより多くなった状態で前記所定時期Ｘでの上記式（５）を演算実行すると、それまでのリミット値Ｌｎはランクｎ＋１側に所定量（Ｈ×β）分だけ移動補正される。
また、このグレーゾーンＧにてランクｎに振り分けた回数Ｂが、ランクｎ＋１に振り分けた回数Ａより多くなった状態で前記所定時期Ｘでの上記式（５）を演算実行すると、それまでのリミット値Ｌｎはランクｎ側に所定量（Ｈ×β）分だけ移動補正される。
【００６０】
このように、リミット値Ｌｎ（グレーゾーンＧを含む）を移動自在な構成としてグレーゾーンＧで振分けたランクｎとランクｎ＋１への振分けた回数の割合に基づき所定時期に最適値に移動補正することができるようになり、グレーゾーンＧでの振分け状態が一方のランクに偏った場合であってもリミット値Ｌｎ自体が移動することにより、隣接する両ランクに対する被計量物の選別バランスを均等にでき、一方のランクにのみ偏って排出されることを極力防止できるようになる。結果として、各ランクでの箱詰め重量を表記重量に近接させることができるようになる。
【００６１】
このようにリミット値Ｌｎを移動させる構成により、被計量物の重量のばらつきがあった場合（例えば正規分布）や、このばらつき具合（確率分布）が変化した場合においても、このばらつきに応じてリミット値Ｌｎが補正される構成であり、各種被計量物を同一装置で多段階選別できるようになる。特に、被計量物が自然漁獲、収穫物である場合（例えば鮮魚等）では漁獲時期や漁獲場所、荷揚げ船別等の要因で各計量値の分布のばらつき具合が異なった場合でも、対応してリミット値が移動し各ランクでの箱詰め重量を表記重量に近接させることができ、不要な入れ目分を削減でき、出荷時の損失を低減化できるようになる。
【００６２】
【発明の効果】
本発明によれば、各ランクに設定されるリミット値にはそれぞれ所定の重量範囲を有するグレーゾーンが設定され、計量値がグレーゾーン内であった場合には、累積偏差に基づき、隣接するランクのいずれにも選別され、うち最適なランク側に振分け選別されるようになる。これにより、計量値にばらつきがある被計量物であっても各ランクでの総個数と総重量を満足させつつ、各ランクでの入れ目を削減して多段階に選別することができるようになる。
これにより、被計量物を箱詰め出荷する際に規定された表記重量を満足しつつ余分な入れ目を削減できるようになり、出荷業者の損失分を減少できるようになる。
また、累積偏差は、該当ランクに対する被計量物の排出個数が規定された個数に達する毎にリセットされ、新たな累積偏差処理が実行される構成とすれば、各箱毎に箱詰め重量を表記重量に近づけることができるようになる。
また、グレーゾーンは、両ランクに振り分けられる被計量物の個数がそれぞれ均等となるよう重量方向に移動させる補正処理を実行することにより、隣接するランクそれぞれでの総重量及び総個数を満たしつつ一方のランクにのみ偏って振り分けられることがない。同時に、被計量物の計量値のばらつきが変わった場合であってもグレーゾーンが移動することにより、各ランクでの総重量と総個数を満たし入れ目を減少できるようになる。
また、上記補正処理は、被計量物の種類の変更時や、装置の連続稼働の合間等、被計量物が予め設定された回数計量される毎、あるいは手動で任意の時期に実行させることができ、この補正処理の実行のタイミングでそれまでの経過で蓄積された両ランクへの振分け割合を見直すことができ、常にグレーゾーンでの振分け処理を被計量物の計量値のばらつきに合わせて最適な状態に維持できるようになる。
上記一連の処理は、基本的に装置が自動実行するため、被計量物の種類が変更された場合であっても簡単な操作で迅速に対応でき、装置の多段階選別の精度を全体的に向上させ得るものとなる。
【図面の簡単な説明】
【図１】本発明の多段階重量選別装置を示す側面図。
【図２】第１実施形態におけるハードウェア構成を示す図。
【図３】各ランクのグレーゾーンの設定状態を示す図。
【図４】同装置による多段階選別処理を示すフローチャート。
【図５】第２実施形態におけるハ−ドウェア構成を示す図。
【図６】第３実施形態におけるハードウェア構成を示す図。
【図７】多段階選別の概要図。
【符号の説明】
１…選別ユニット、２…搬送コンベア、３…秤量手段、４（４ａ〜４ｎ）…排出シュート、５…指示器、６…導入ユニット、１０…操作手段、１２…処理手段、１２ａ…グレーゾーン設定手段、１２ｂ…ランク選別手段、１２ｃ…累積偏差処理手段、１２ｄ…リミット補正手段、１３…記憶手段。[0001]
BACKGROUND OF THE INVENTION
The present invention relates to a multi-step weight sorters and Methods for sorting the objects to be weighed by the rank of the multistage based on metric values of the objects to be weighed.
[0002]
[Prior art]
The multistage weight sorting apparatus is configured to previously classify an object to be measured into a plurality of ranks, and discharge processing to a corresponding rank according to the measured value of the object to be weighed. The configuration of this multistage weight sorting apparatus is disclosed in Japanese Patent Publication No. 2-16978 filed by the same applicant.
[0003]
An example in which the apparatus is applied to multi-stage sorting of fresh fish will be described with reference to the schematic diagram of FIG.
Each rank is packed in a box so as to uniformly satisfy the indicated weight of 7.5 kg. The number of fish in each rank is set to a prescribed number of fish such as 40 fish, 45 fish, 50 fish, 55 fish, 60 fish, etc., respectively.
For example, in the rank of 55 fish 7.5 kg, the average target mass of 1 fish is 136 g, and in the rank of 60 fish 7.5 kg, the average target mass of 1 fish is 125 g.
[0004]
Then, in order to classify the objects to be weighed, an intermediate value (ratio of 5: 5) between the average target masses of adjacent ranks is set as a limit value L, and any of the measured values based on the limit value L The method of assigning to such rank is widely used.
For example, the limit value L for ranking 55 fish and 60 fish is set as an intermediate value between 136 g and 125 g, that is, 130.5 g, and a fresh fish with a weighing value of 130 g is sorted into 60 fish ranks, and 140 g Fresh fish is sorted into a rank of 55 fish.
[0005]
[Problems to be solved by the invention]
However, setting the limit values as described above is effective when the probability distribution of the measured values of the objects to be weighed is a uniform distribution, but in the case of natural catch, fresh fish as a harvest, etc. Since the distribution of each measurement value varies depending on factors such as the fishing location, the following problems occur when used as they are.
[0006]
For example, if the measured value is normally distributed between 40 and 60 fish, as shown in the figure, when a lot of fresh fish near the limit value are weighed, for example, when 130.5 g is used as the limit value, about 130 g When fresh fish is weighed continuously, the boxed weight at this 60 rank will be shipped as a weight heavier than 7.5 kg.
At the same time, the rank of 55 fishes is lighter than 7.5 kg.
[0007]
It is not preferable that the weight after packing is less than the specified weight, and shipping companies who handle sorting devices generally use the weight as a reference (7.5 kg) + stitch (about 100 g). Ships.
With the conventional limit value setting, this notch cannot be brought close to the specified weight, and even if a notch is provided, it is shipped with a heavier weight than this notch, which causes unnecessary loss. The minute could not be resolved.
[0008]
In particular, when the multi-stage weight sorting apparatus is installed in a shipper that needs to sort and ship a large amount of fresh fish in a short time, even the extra loss that occurs in each box becomes large.
Thus, although there is a desire to make the boxed weight as close to the indicated weight (7.5 kg, etc.) as possible at any rank, no means for concretely solving is presented.
[0009]
Although it is possible to adjust the limit value manually and change the ratio between the average target masses of adjacent ranks, this manual adjustment requires adjustment of each of the multiple limit values individually, resulting in incorrect settings. Is prone to occur.
Further, in order to reduce the number of stitches, it is necessary to adjust each of the plurality of limit values after grasping the distribution constant of the measurement value of the object to be measured. If it is set incorrectly here, the boxed weight at the adjacent rank may be less than the marked weight or greatly exceeded.
[0010]
Furthermore, each time the distribution constant (variation of measurement values) explained using the above diagram moves in the direction of the dotted line in the figure or the distribution constant itself changes (change in the height of the distribution curve, etc.) Must be manually adjusted again, which is cumbersome. This distribution constant varies depending on factors such as the catching time of fresh fish and the fishing place.
[0011]
In the above description, an example was described in which the object to be weighed was a fresh fish that was caught, but not limited to this, multi-stage weight sorting was performed on the objects to be weighed with different measurement values, with the total number and the total weight being defined in advance. A similar problem arises when doing.
[0012]
The present invention has been made in order to solve the above-mentioned problems, and satisfies the total number and the total weight in each rank for an object to be weighed having a variation in measurement values and being subjected to multi-stage selection, and after selection. and its object is to provide a multi-stage weight sorters and methods can be brought close to the notation weight defined on the total weight.
[0013]
[Means for Solving the Problems]
In order to achieve the above object, the multi-stage weight sorting apparatus of the present invention is a multi-stage weight sorting apparatus that sorts into a plurality of stages according to the measured value of an object to be weighed.
Weighing means for weighing the object to be weighed;
An indicator for setting a limit value for defining a weight range of a plurality of ranks, determining a rank of the object to be weighed according to a weight value of the object to be weighed output from the weighing means, and outputting a corresponding rank designation signal; ,
A plurality of discharge chutes according to the plurality of ranks, and a discharge chute that discharges the object to be measured to a corresponding rank based on a rank designation signal output from the indicator,
The indicator includes:
Based on the limit value that defines the weight range between adjacent ranks, a fixed zone for selecting a rank is set between each pair of adjacent limits, and a predetermined weight is set back and forth around the limit value. A gray zone setting means for setting a gray zone for distribution in a range;
Determine whether the weighing value of the object to be weighed is the fixed zone or the gray zone, and if it is within the weight range of the fixed zone, select the corresponding rank, and if it is within the gray zone range, the cumulative deviation processing Rank selection means for sorting and sorting to any of the adjacent ranks in response to the processing result of the means;
When the weighing value of the object to be weighed is within the range of the gray zone, the deviation of the current weighing value with respect to the target average weight of both adjacent ranks is cumulatively added , and the assumed result of the cumulative addition is one rank. Cumulative deviation processing means for causing the rank sorting means to sort and rank the other rank of the rank,
Is featured.
[0014]
According to a second aspect of the present invention, the cumulative deviation processed by the cumulative deviation processing means may be reset each time the number of objects to be weighed with respect to the corresponding rank reaches a prescribed number.
[0015]
In addition, as described in claim 3, an object to be weighed that is distributed to both ranks by the gray zone set by the gray zone setting means moves the limit value of the rank based on the number of distribution to each rank. It is also possible to employ a configuration provided with limit correction means for executing the correction processing.
[0016]
According to a fourth aspect of the present invention, the limit correction unit may perform the gray zone correction process each time the object to be weighed is measured a preset number of times.
[0017]
According to a fifth aspect of the present invention, the limit correction unit may be configured to execute the gray zone correction process at an arbitrary time by a manual operation.
[0018]
The multi-stage weight sorting method of the present invention is a multi-stage weight sorting method for sorting into a plurality of stages according to the measured value of the object to be weighed.
Based on limit values that define the weight range of multiple ranks, each fixed zone for ranking selection set between a pair of adjacent limits, and a predetermined weight range before and after the limit value A selection range setting process for setting a gray zone for
A weighing process for weighing the object to be weighed;
If the measured value of the object to be weighed is within the fixed zone or gray zone and is selected within the weight range of the fixed zone, the corresponding rank is selected. A rank selection process for executing
At the time of transition to the cumulative deviation process, when the deviation of the current measured value with respect to the target average weight of both adjacent ranks is cumulatively added , and the assumed result of the cumulative addition is less than the average weight of one rank, the rank selecting means A cumulative deviation processing step for sorting and sorting to the other rank of the rank,
It is characterized by including.
[0019]
In addition, as described in claim 7, the accumulated deviation processed in the accumulated deviation processing step is reset every time when the number of objects to be weighed with respect to the corresponding rank reaches a specified number, and a new accumulated deviation process is performed. It may be configured to be executed.
[0020]
Furthermore, as according to claim 8, the gray zone that has been set by the selection range setting step, the correction process of moving the limit value of the ranks is performed based on the number of objects to be weighed which are distributed to both rank It is good also as a structure.
[0021]
According to a ninth aspect of the present invention, the correction process may be executed every time the object to be weighed is measured a preset number of times.
[0022]
In addition, as described in claim 10, the correction process can be executed at an arbitrary time by a manual operation.
[0028]
For the boundary value (limit value) Ln between the ranks, when the gray zone ratio is input by operating the indicator 5 of the apparatus and inputting the ratio of gray zone, the gray zone G of a predetermined weight range around this limit value Ln, And a fixed zone X that does not overlap the gray zone is calculated.
After the object to be weighed is weighed by the weighing means 3, it is determined which rank the measured value D is based on a plurality of limit values Ln. If the weighing value D is within the weight range of the fixed zone X at the time of the rank determination, the rank is selected to the rank of the fixed zone X. on the other hand. When the measured value D is within the weight range of the gray zone G, the cumulative deviation processing means 12c calculates and adds the deviation of the current measured value D with respect to the target average weight Cn of each rank. If the average weight of the rank is less than the target average weight, the rank sorting means is caused to sort and sort the other rank. By this sorting process, the objects to be weighed are discharged from the discharge chute 4 of the corresponding rank.
Thereby, it is possible to prevent the total weight of the objects to be weighed selected on the heavy rank side in the adjacent ranks from being reduced, and it is possible to reduce the stitches while satisfying the prescribed packing weight.
[0029]
DETAILED DESCRIPTION OF THE INVENTION
FIG. 1 is a side view showing a multistage weight sorting apparatus.
The apparatus includes a sorting unit 1 that multistagely sorts the objects to be weighed, weighing means 3 provided in the middle of the transporting conveyor 2 in the sorting unit 1, and a plurality of discharge chutes 4 (4a to 4n, n are Number) and an indicator 5 for controlling each part of the apparatus.
[0030]
On the sorting unit 1, there is provided an introduction unit 6 into which an object to be weighed is introduced. The introduced object to be weighed is transported in the direction A while being leveled on the introduction unit 6, and is reversed at the point C. It is transferred onto the conveyor 2 of the sorting unit 1.
The sorting unit 1 is transported and driven in the direction of the figure by the driving means 7, and the weighing value of the object to be measured is measured by the weighing means 3 provided in the middle of the transport. The measured measurement value is output to the indicator 5, and the indicator 5 determines which one of a plurality of ranks set in advance corresponds to. The configuration of ranking is omitted because it has been described above.
[0031]
When the object to be weighed reaches the discharge chute 4n portion of the corresponding rank, the indicator 5 selectively activates the sorting gate provided in the discharge chute portion, and the object to be weighed is discharged to the discharge chute 4n of this rank. To discharge.
Each end of the discharge chute 4 is provided with a storage box of the same size, and is packed in this box until the total weight set in advance is reached. Here, the indicator 5 adds the measured values of the objects to be weighed discharged from the discharge chutes 4 and discharges them until the total weight of the box is reached.
[0032]
FIG. 2 is a diagram showing a hardware configuration provided in the indicator 5 and shows a main part of the first embodiment.
The indicator 5 is provided with an operation means 10 composed of a keyboard or the like, a processing means 12 composed of a CPU for selecting the rank of an object to be weighed, and a storage means 13 composed of a memory such as RAM or ROM.
Among these, the operation means 10 is provided in the casing of the indicator 5 and can be externally operated, and the processing means 12 and the storage means 13 are provided in a circuit unit in the casing.
[0033]
From the operation means 10, the total weight Wt (boxed weight) common to each rank, the total number Bn for each rank, the upper limit value Lu, the lower limit value Ld, the distribution constant α, the grayson ratio (%), and the like are input. . The total number Bn is set in plural (B1 to Bn) corresponding to variations in the weight value of the objects to be weighed.
[0034]
The processing means 12 includes a gray zone setting means 12a for setting the gray zones G1 to Gn (n = 1 to n) of the respective ranks based on the input parameters, and the subject to be measured according to the measurement value D of the object to be weighed. Rank sorting means 12b that sorts the weighing object into the corresponding rank and outputs a rank designation signal R, which is referred to in the execution of the sorting process of the rank sorting means 12, and based on the measured value D of the weighing object, the accumulated deviation Cumulative deviation processing means 12c is provided for calculating.
[0035]
The gray zone setting means 12a first calculates a plurality of target average weights Cn and limit values Ln (n = 1 to n) for selecting each rank based on the inputted total number Bn and the total number Bn for each rank. In this calculation process, temporary storage files are created in the storage means 13.
The storage means 13 stores the target average weight Cn storage file (n = 1 to n), limit value Ln storage file (n = 1 to n), and upper / lower limit values Lu and Ld calculated by the processing means 12. Lu, Ld storage files, cumulative deviation storage files, etc. are created.
The upper and lower limit values Lu and Ld are used for removing the excessively and excessively heavy weighing object D from the ranking process and discharging from the discharge chute 4 portion assigned as the defective rank in the discharge chute 4 at the time of multi-stage sorting. It is done.
[0036]
The calculation process of the limit value Ln for each rank in the gray zone setting unit 12a will be described. The total weight Wt (packed weight) common to each rank and the total number Bn for each rank are input from the operation unit 10. The weight Wt is the total value of the notation weight Wh and the joint Wi for the boxes of the same size for each rank, and the object to be weighed is input in addition to the notation weight in the box in addition to this joint. Is done. Further, the total number Bn is different for each rank box, and the total number of objects to be weighed put in each rank box is input.
[0037]
Then, the gray zone setting unit 12a obtains the target average weight Cn for each rank based on Wt and Bn by executing the following equation.
Cn = Wt / Bn (1)
(Where n is 1 to n)
The obtained Cn is set in the gray zone setting means 12a.
[0038]
The above formula (1) indicates the target average weight Cn at a certain rank, and the processing means 12 is obtained by repeatedly processing the above formula (1) until the target average weights C1 to Cn of all ranks are obtained.
Next, in order to calculate the limit value Ln for each rank, the reference average rank and the target average weights C1 to Cn of the rank adjacent to this rank are read from the gray zone setting means 12a. For example, when rank 1 is used as a reference, target average weights C1 (Cn) and C2 (Cn + 1) of rank 1 and rank 2 are read out.
[0039]
Next, the limit value Ln in the reference rank is calculated by executing the following formula based on the read target average weights Cn, Cn + 1 and the fixed distribution ratio α set in advance.
Ln = Cn + ((Cn + 1) −Cn) × α) (2)
(Where n is 1 to n, α = 0.5)
The obtained Ln is temporarily stored in the limit value Ln storage file.
The above expression (2) indicates the upper limit value Ln at a certain rank, and the processing means 12 obtains the above expression (2) repeatedly until the limit values L1 to Ln of all ranks are obtained. .
[0040]
Through the above series of processing, the target average weight Cn of each rank and the limit value Ln in each rank are obtained.
Next, the gray zone G is set to the limit value Ln of each rank. The gray zone G gives a predetermined ratio to the weight before and after the weight centered on the limit value Ln. This ratio is input as G ratio% from the operating means 10, for example, when the ratio is input as ± 20%, the gray zone setting means 12a sets the weight range of 20% before and after the weight of each rank Ln as the gray zone G1. Set and hold as .about.Gn.
Simultaneously with the setting of the gray zones G1 to Gn, the fixed zones X1 to Xn of each rank are set. Specifically, the fixed zone X2 has a weight range based on the weight ranges of two adjacent gray zones G1 and G2. That is, the minimum weight in the weight range of the fixed zone X2 is set to a weight heavier than that which does not overlap the upper limit value of the gray zone G1, and the maximum weight is set to a lighter weight than that which does not overlap the lower limit value of the gray zone G2.
[0041]
FIG. 3 is a diagram illustrating the setting states of the ranks C1 to C5 and the gray zones G1 to G4 with the horizontal axis as the weight.
As shown in the figure, when the distribution ratio α is set to 0.5, an intermediate value between the target average weights Cn of the respective adjacent ranks is set as the limit value Ln, and the front and rear ± 20% is set in the gray zones G1 to G4, and at the same time, the fixed zones X1 to X5 are set.
[0042]
To explain using a specific example, when multi-stage weight sorting of fresh fish as an object to be weighed, the total weight Wt packed in each box is 7.5 Kg, and the total number (total number of fish) in each rank is A case where 5 ranks are defined as 60, 55,..., 40, respectively, and the set distribution ratio α is 0.5 will be described.
In this case, by inputting Wt and each Bn, the target average weight Cn in each rank is calculated as C1 = 125 g, C2 = 136 g,..., C5 (Cn) = 188 g as shown in the figure.
Further, the limit value L1 in the rank of C1 is 130.5 g, which is an intermediate value of C1 and C2, and L2 of C2 rank is 143 g,..., And L4 (Ln) of C4 is 177.5 g.
Then, in the limit values L1 to L4 of each rank, a region of 20% before and after the weight of the limit values L1 to L4 is set as the gray zones G1 to G4, and the fixed zones X1 to X5 are set at the same time. In the gray zones G1 to G4, when the measurement value D of the object to be weighed is within the range of the gray zones G1 to G4 when the measurement value D is input, the object to be weighed is assigned to one of the adjacent ranks. Yes, it is determined to which rank the distribution is made through a cumulative deviation determination process described later.
[0043]
The rank selection means 12b determines which rank among the plurality of ranks the measurement value D input for each measurement of the object to be measured belongs to, and outputs a rank designation signal R.
In this determination, when the measured value D of the object to be weighed is within the weight range of the fixed zones X1, X2,..., X5, it is determined that it is the rank of this fixed zone, and the corresponding rank designation signal R is output. When the measured value D of the object to be weighed is within the weight range of the gray zones G1, G2,..., G4, a rank designation signal for any of the adjacent ranks is output based on the processing result of the cumulative deviation processing means 12c.
Based on the rank designation signal R, the multi-stage weight sorting apparatus selectively activates the corresponding sorting gate when the object to be weighed reaches the discharge chute 4n portion of the corresponding rank, as described above, and places the object to be weighed in this rank. To the discharge chute 4n.
[0044]
The accumulated deviation processing means 12c provided in the processing means 12 reads the target average weight Cn of each rank based on the measured value D inputted for each weighing of the object to be measured, and adds the accumulated deviation of each rank.
FIG. 4 is a flowchart of rank selection processing executed by the processing means 12. The cumulative deviation process will be described with reference to FIG.
[0045]
The input weighing value D is ranked in order from the heaviest rank. First, it is selected whether or not the measurement value D is within the range of the fixed zone X5 of rank 5 (SP1). If it is within the range (SP1-YES), a rank designation signal indicating that the rank is 5 is output. At this time, the cumulative deviation processing means 12c calculates the cumulative deviation of rank 5 by executing the following equation (4) (SP2).
Cumulative deviation = Σ (D−C5) (4)
(However, C5 is the target average weight of rank 5)
That is, the deviation weight of the measured value with respect to the target average weight C5 is added, and the accumulated deviation after addition of rank 5 is stored in the accumulated deviation storage file of the storage means 13.
[0046]
Further, when SP1 is NO and the measured value D is within the range of the gray zone G4 (SP3-YES), the accumulated deviation processing means 12c distributes the object to be measured to either rank 5 or rank 4. Execute. First, the cumulative deviation of rank 5 is read from the cumulative deviation storage file, and the calculation shown by the above equation (4) is executed for the current measured value D to obtain a new cumulative deviation. Then, it is determined whether or not the obtained cumulative deviation exceeds 0 (SP4).
As a result of the determination, when the accumulated deviation exceeds 0, the target weight C5 of rank 5 is not lowered, and thus the specified packaging weight is satisfied. Therefore, the accumulated deviation processing means 12c distributes the object to be measured to rank 5. To the rank selection means 12b (SP4-YES). Thereafter, the processing of SP2 is executed, and the accumulated deviation including the current measured value D is updated and stored in the accumulated deviation storage file.
[0047]
On the other hand, when the numerical value of the cumulative deviation becomes 0 or less at SP4, the target average weight C5 of rank 5 is substantially lowered, and there is a possibility that the boxed weight as a prescribed matter cannot be satisfied. At this time, the fact that the measurement object is distributed to the rank is output to the rank selection means 12b. At the same time, cumulative deviation processing (SP5) at rank 4 is executed for the current measurement value D using the above equation (4).
[0048]
Thereafter, for each input of the measured value D up to rank 1, rank selection processing based on the fixed zone X and the gray zone G and the cumulative deviation for each rank are calculated. In addition, when the measured value is heavier than the upper limit value Lu and lighter than the lower limit value Ld, the rank selection unit 12b discharges the corresponding discharge unit 4 as a defective rank.
When the measurement value D of the object to be weighed is in the gray zone G, it is distributed to the rank of any one of the adjacent fixed zones X, and the accumulated deviation at the distributed rank is obtained.
[0049]
If it demonstrates with a specific example, the fresh fish as a to-be-measured object will be leveled on the introduction unit 6, and will be transferred to the selection unit 1. FIG. When the fresh fish is weighed by the weighing means 3, a measured value D is output to the indicator 5.
The rank selection means 12b in the indicator 5 determines which rank the measured measurement value D is. For example, when the measured value D is 137 g, it is determined that the fresh fish is within the range of the fixed zone X2 and rank 2 (55 fish), and a rank 2 rank designation signal R is output to the sorting unit 1.
As a result, when the fresh fish reaches the discharge chute 4 of the corresponding rank, the sorting unit 1 selectively activates the corresponding rank 2 selection gate to discharge the object to be measured to the discharge chute 4 of rank 2. .
Further, when the measured value D is 141 g, this fresh fish is in the range of the gray zone G2, and this fresh fish is subjected to discrimination processing using the accumulated deviation by the accumulated deviation processing means 12c. As a result, if the cumulative deviation is 0 or more, it is determined that the rank is 3 (50), while if the cumulative deviation is less than 0, it is determined that the rank is 2 (55).
[0050]
As described above, a gray zone G is provided in the limit value Ln portion of each rank, and when the measured value D is within the range of the gray zone G, a distribution is made to one of the adjacent ranks based on the accumulated deviation. , The packing at each rank can be reduced, and the boxed weight can be brought close to the indicated weight.
In particular, in the cumulative deviation process, since the average weight Cn of the heavy side rank is not lowered with reference to the heavy side rank, only the set target average weight Cn can be input until the total weight is reached. Items are sorted and the boxed weight (total weight) can be brought close to the indicated weight, while the boxed weight does not fall below the indicated weight. In other words, it is not necessary to set a slot, and the rank of each rank can be reduced, so that shipping loss can be reduced.
[0051]
Next, a second embodiment of the present invention will be described. FIG. 5 is a configuration diagram of the second embodiment, and the same components as those of FIG. 2 described in the first embodiment are denoted by the same reference numerals and description thereof is omitted.
In this embodiment, the cumulative deviation adding process by the cumulative processing means 12c is reset every predetermined number of boxes.
The accumulation processing means 12c counts the number N of boxes in the rank every time the cumulative addition process (described in FIG. 4) at a predetermined rank is executed by the input of the measured value D, and stores it in the box quantity storage file of the storage means 13. It is configured to update and store.
The packaging number Bn for each rank is input in advance from the operation means 10, and when the packaging number N at a predetermined rank reaches Bn, the accumulation processing means 10 stores the accumulated deviation storage file for the rank. The accumulated deviation stored in is cleared to zero.
[0052]
As a result, the cumulative deviation of rank 2 is reset when the specified number of boxes in each rank, for example, the number of cases of 55 boxes in rank 2 shown in FIG. 3, is reached. Without reference, excessive addition of accumulated deviation can be prevented, and natural increase and natural decrease of the total weight Wt in each box can be prevented.
[0053]
Next, a third embodiment of the present invention will be described. FIG. 6 is a configuration diagram of the third embodiment. The same components as those in FIG. 2 described in the first embodiment are denoted by the same reference numerals, and description thereof is omitted.
In this embodiment, the limit value Ln set by the gray zone setting means 12a is automatically corrected based on the selection result during continuous weighing of the object to be measured, thereby further improving the selection accuracy. It is about to try. At this time, the gray zone G set around the limit value Ln follows the variable of the limit value Ln.
[0054]
In the first embodiment described above, the limit value Ln, which is the basis of the weight range of the gray zone G, is configured to be fixed and set to a weight value at an approximately middle position of the target average weight Cn of each rank. When the weighing value D of the weighing object is in the gray zone G, a process of sorting to one of the adjacent ranks is performed based on the cumulative deviation processing of the cumulative deviation processing means 12c.
In this embodiment, the limit value Ln itself is moved and corrected to an optimum value at a predetermined time based on the ratio of distribution to the rank n and the rank n + 1 distributed in the gray zone G, so that the number of distributions to the adjacent ranks is achieved. Accordingly, the limit value Ln is moved to equalize the balance.
[0055]
For this reason, in the third embodiment, the limit value Ln of each rank, the number A allocated to rank n for each gray zone G, the number B allocated to rank n + 1 in the same gray zone G, and the same gray Using the ideal ratio (fixed value) J to be assigned to rank n and rank n + 1 in the zone G, the width H of the gray zone G, and the movement coefficient β, the limit value Ln of this rank is set at a predetermined time (for example, when the number of times of measurement X has elapsed). to correct. The parameters J, H, and β are input from the operation means 10, and X is referred to the count value of the processing means 12 and stored as each file in the storage means 13 (of which, FIG. Only listed). The correction timing is automatically executed when X has elapsed (for example, when 1000 pieces are weighed), or manually by operating the operation means 10 at a predetermined time.
[0056]
Then, the limit value correcting unit 12d corrects the limit value Ln by executing the calculation process of the following formula (5) with reference to each of the storage files.
[0057]
[Expression 1]

[0058]
However, β is a movement coefficient (β <0 to 1), which indicates the degree of movement of the limit value Ln. The smaller the numerical value, the smaller the movement amount of the limit value Ln (the dull), and the larger the value, the larger (sensitive). To).
The ideal ratio J is set and stored at 0.5, and 0.5 indicates that it is desired to distribute the objects to be weighed to an equal number for rank n and rank n + 1 in this gray zone G. The value of the ideal ratio J can be variably set.
[0059]
The measurement value D of the object to be weighed is within a certain gray zone G, and the number of times A assigned to rank n in this gray zone Gn and the number of times B assigned to the other rank n + 1 are the same and the predetermined time X When the above equation (5) is calculated, the limit value Ln up to that point does not move.
On the other hand, if the above formula (5) is calculated and executed at the predetermined time X in a state where the number of times A assigned to rank n in the gray zone G is greater than the number B assigned to rank n + 1, the limit up to that point is reached. The value Ln is corrected for movement by a predetermined amount (H × β) on the rank n + 1 side.
Further, when the above formula (5) is calculated and executed at the predetermined time X in a state where the number of times B assigned to rank n in the gray zone G is greater than the number A assigned to rank n + 1, the limit up to that point is reached. The value Ln is corrected for movement by a predetermined amount (H × β) on the rank n side.
[0060]
As described above, the limit value Ln (including the gray zone G) is configured to be movable, and the movement is corrected to the optimum value at a predetermined time based on the ratio of the number of times of distribution to the rank n and the rank n + 1 distributed in the gray zone G. Even if the distribution state in the gray zone G is biased to one rank, the limit value Ln itself moves, so that the selection balance of the objects to be weighed for both adjacent ranks can be made uniform. , It is possible to prevent as much as possible discharge from being biased to only one rank. As a result, the boxed weight at each rank can be brought close to the indicated weight.
[0061]
Thus, even if there is a variation in the weight of the object to be weighed (for example, a normal distribution) or when this variation (probability distribution) changes, the limit value Ln is moved. The configuration is such that the value Ln is corrected, and various objects to be weighed can be selected in multiple stages by the same apparatus. In particular, if the object to be weighed is a natural catch or harvest (for example, fresh fish), even if the distribution of each measured value varies due to factors such as the catch time, catch location, and unloading vessel, The limit value moves so that the boxed weight at each rank can be brought close to the written weight, unnecessary pockets can be reduced, and shipping loss can be reduced.
[0062]
【The invention's effect】
According to the present invention, the limit value set for each rank is set to a gray zone having a predetermined weight range, and when the measured value is within the gray zone, the adjacent rank is determined based on the accumulated deviation. Are sorted out, and among them, it is sorted and sorted to the optimal rank side. As a result, even if the weighing object has a variation in the measured value, the total number and the total weight in each rank can be satisfied, and the multi-stage selection can be performed by reducing the stitches in each rank. Become.
As a result, it is possible to reduce the extra seam while satisfying the stated weight defined when the objects to be weighed are packaged and shipped, and the loss of the shipper can be reduced.
In addition, the cumulative deviation is reset each time the number of objects to be weighed for the corresponding rank reaches the specified number, and a new cumulative deviation process is executed. It becomes possible to approach.
In addition, the gray zone performs a correction process for moving in the weight direction so that the number of objects to be distributed to both ranks is equal, while satisfying the total weight and the total number in each adjacent rank. It is not biased only to the rank of At the same time, even if the variation in the measured value of the object to be weighed changes, the gray zone moves, so that the total weight and the total number in each rank can be satisfied, and the mesh can be reduced.
In addition, the correction processing may be executed every time the object to be weighed is preset a number of times, such as when the type of object to be weighed is changed or between continuous operation of the apparatus, or manually at any time. Yes, you can review the distribution ratio of both ranks accumulated so far at the timing of executing this correction process, and always optimize the distribution process in the gray zone according to the variation in the measured value of the object to be weighed. It will be possible to maintain the state.
The above series of processing is basically automatically executed by the device, so even if the type of object to be weighed is changed, it can be quickly handled with simple operations, and the overall accuracy of multi-stage sorting of the device can be improved. It can be improved.
[Brief description of the drawings]
FIG. 1 is a side view showing a multistage weight sorting apparatus of the present invention.
FIG. 2 is a diagram showing a hardware configuration in the first embodiment.
FIG. 3 is a diagram showing a setting state of a gray zone of each rank.
FIG. 4 is a flowchart showing multistage sorting processing by the apparatus.
FIG. 5 is a diagram showing a hardware configuration in a second embodiment.
FIG. 6 is a diagram showing a hardware configuration in a third embodiment.
FIG. 7 is a schematic diagram of multistage selection.
[Explanation of symbols]
DESCRIPTION OF SYMBOLS 1 ... Sorting unit, 2 ... Conveyor, 3 ... Weighing means, 4 (4a-4n) ... Discharge chute, 5 ... Indicator, 6 ... Introduction unit, 10 ... Operation means, 12 ... Processing means, 12a ... Gray zone setting Means 12b ... rank selection means, 12c ... cumulative deviation processing means, 12d ... limit correction means, 13 ... storage means.

Claims (10)

In a multi-stage weight sorting device that sorts into multiple stages according to the measured value of the object to be weighed,
Weighing means for weighing the object to be weighed;
An indicator for setting a limit value for defining a weight range of a plurality of ranks, determining a rank of the object to be weighed according to a weight value of the object to be weighed output from the weighing means, and outputting a corresponding rank designation signal; ,
A plurality of discharge chutes according to the plurality of ranks, and a discharge chute that discharges the object to be measured to a corresponding rank based on a rank designation signal output from the indicator,
The indicator includes:
Based on the limit value that defines the weight range between adjacent ranks, a fixed zone for selecting a rank is set between each pair of adjacent limits, and a predetermined weight is set back and forth around the limit value. A gray zone setting means for setting a gray zone for distribution in a range;
Determine whether the weighing value of the object to be weighed is the fixed zone or the gray zone, and if it is within the weight range of the fixed zone, select the corresponding rank, and if it is within the gray zone range, the cumulative deviation processing Rank selection means for sorting and sorting to any of the adjacent ranks in response to the processing result of the means;
When the weighing value of the object to be weighed is within the range of the gray zone, the deviation of the current weighing value with respect to the target average weight of both adjacent ranks is cumulatively added , and the assumed result of the cumulative addition is one rank. Cumulative deviation processing means for causing the rank sorting means to sort and rank the other rank of the rank,
A multistage weight sorter characterized in that is provided.   2. The multistage weight sorting apparatus according to claim 1, wherein the cumulative deviation processed by the cumulative deviation processing means is reset every time the number of objects to be weighed for a corresponding rank reaches a prescribed number. An object to be weighed that is distributed to both ranks by the gray zone set by the gray zone setting means includes limit correction means for executing correction processing for moving the limit value of the rank based on the number of distribution to each rank. The multistage weight sorter according to claim 1 provided.   4. The multistage weight sorting apparatus according to claim 3, wherein the limit correction means is configured to execute the correction process of the gray zone every time the object to be weighed is measured a preset number of times.   4. The multistage weight sorting apparatus according to claim 3, wherein the limit correction means is configured to execute the correction process of the gray zone at an arbitrary time by a manual operation. In the multi-stage weight sorting method that sorts into multiple stages according to the measured value of the object to be weighed,
Based on limit values that define the weight range of multiple ranks, each fixed zone for ranking selection set between a pair of adjacent limits, and a predetermined weight range before and after the limit value A selection range setting process for setting a gray zone for
A weighing process for weighing the object to be weighed;
If the measured value of the object to be weighed is within the fixed zone or gray zone and is selected within the weight range of the fixed zone, the corresponding rank is selected. A rank selection process for executing
At the time of transition to the cumulative deviation process, when the deviation of the current measured value with respect to the target average weight of both adjacent ranks is cumulatively added , and the assumed result of the cumulative addition is less than the average weight of one rank, the rank selecting means A cumulative deviation processing step for sorting and sorting to the other rank of the rank,
A multi-stage weight selection method comprising:   The multi-stage according to claim 6, wherein the cumulative deviation processed in the cumulative deviation processing step is reset each time the number of objects to be weighed with respect to the corresponding rank reaches a specified number, and a new cumulative deviation process is executed. Weight sorting method. The multistage weight sorting method according to claim 6, wherein the gray zone set in the sorting range setting step is subjected to correction processing for moving the limit value of the rank based on the number of objects to be weighed distributed to both ranks. .   The correction process according to claim 8 is a multi-stage weight selection method configured to be executed each time an object to be weighed is weighed a preset number of times.   The correction process according to claim 8, wherein the correction process is performed at an arbitrary time by a manual operation.

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