JPH06114341A - Weight selector - Google Patents

Abstract

PURPOSE:To assort articles to respective lines at the ratio of preset numbers of articles even if the weight distribution of articles is varied by computing respective boundary weight values successively so that the articles can be selected to respective weight ranks of given numbers at the ratio of approximately given number of articles and varying the setting to new boundary weight values computed successively in place of the old boundary weight values. CONSTITUTION:In a weight selector for selecting an article 14 to a line corresponding to the metered value of the article 14 out of a small size line 11 and a large size line 12 fixed for every different weight range, a boundary weight value computing means for computing successively the boundary weight values for two weight ranges based on the metering of the article 14 so that the metered article 14 can be assorted for the two lines 11 and 12 in roughly same numbers and a boundary weight value varying means in place of the old boundary weight values are provided. As a result, the articles can be assorted to a plurality of respective lines at the ratio of given numbers of articles even if the weight distribution of articles is varied.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a weight sorter capable of sorting a weighed article into a predetermined number of weight ranks at a substantially predetermined ratio.

[0002]

2. Description of the Related Art Recently, a slaughter machine has been used to automatically slaughter chicken carcasses. When the number of carcasses to be dismantled is large, a plurality of dismantling machines are used. Carcasses are delivered from a plurality of suppliers, and these carcasses are sequentially distributed to a plurality of dismantling machines and disassembled.

However, since this slaughtering machine has a limit in the size (size) of the carcass that can be disassembled, if the size of the carcass changes and exceeds this limit, the carcass of that size is disassembled each time. It is necessary to adjust the dismantling machine so that it can be done.
That is, the size of the carcass may change depending on the supplier of the carcass (see FIG. 7), and the size of the carcass may change depending on the growth situation even if the supplier is the same.

Therefore, as shown in FIG. 1, a large size line equipped with a large size dismantling machine adjusted so that a large size carcass can be dismantled so that the dismantling machine need not be adjusted frequently. A small size line equipped with a small size dismantling machine adjusted to dismantle a small size carcass is provided, and a large size carcass is poured into the large size line for dismantling, and a small size line is It is conceivable to dispose of the carcass by dismantling it. In this case, in order to supply a carcass of a size corresponding to each line, the carcass is preliminarily passed through a weight sorter, and a carcass with a weight value lighter than a preset boundary weight value and a carcass with a heavy weight value are used. And we are doing weight selection.
In other words, since it can be considered that there is a substantially proportional relationship between the size and weight of the carcass, by selecting the weight of the carcass,
We are selecting the size.

[0005]

However, in the conventional weight sorter, since the carcasses are weight-sorted based on the preset boundary weight value, when the weight distribution of the carcasses changes to, for example, the heavier side. A large number of carcasses are distributed to the large size line side, and only a small number of carcasses are distributed to the small size line side. In this case, there is a problem that the burden on the operator of the large size line is heavier than the burden on the operator of the small size line. Further, if only a small number of carcasses can be distributed to one line, there is a problem that the dismantling machine for that line is stopped for a long time and the dismantling efficiency of that line is reduced.

[0006] It is an object of the present invention to provide a weight sorter capable of distributing articles to a plurality of lines at a predetermined number even if the weight distribution of articles such as carcasses changes. .

[0007]

According to a first aspect of the present invention, there is provided a weight sorter for sorting an article into a weight rank corresponding to a weight value of the article out of a predetermined number of weight ranks defined for different weight ranges. , 1 or 2 or more boundary weights of the predetermined number of weight ranks based on the measured value of the articles so that the weighed articles can be sorted into the predetermined number of weight ranks at a substantially predetermined ratio. Boundary weight value calculating means for sequentially calculating values, and boundary weight value changing means for changing the setting to a new boundary weight value sequentially calculated in place of the previously set old boundary weight value. It is characterized by.

According to a second aspect of the present invention, there is provided a weight sorter for sorting the articles to the weight rank corresponding to the weight value of the article out of a predetermined number of weight ranks defined for the different weight ranges, respectively. The weight classification is defined in
Based on the number of weighing signals belonging to each of the weight categories, the weighted articles can be sorted into the predetermined number of weight ranks at a ratio of a substantially predetermined number. Boundary weight classification determining means for sequentially determining the classification and boundary weight classification changing means for changing the setting to the newly determined boundary weight classification in place of the previously set old boundary weight classification. It is characterized by that.

[0009]

The weight sorter according to the first aspect of the present invention sorts the weighed articles into the weight ranks to which the weighing values of the articles belong. Then, the weight sorter calculates the boundary weight values of the predetermined number of weight ranks so that the weighed articles can be sorted into the predetermined number of weight ranks at a substantially predetermined ratio. Is calculated sequentially. Then, the boundary weight value changing means changes the setting to the sequentially calculated new boundary weight values instead of the previously set old boundary weight values. Accordingly, even if the average weight of the group of articles to be weighed fluctuates toward the heavier side or the lighter side, the weighed articles can be sorted into each weight rank at a ratio of a substantially predetermined number.

The weight sorter of the second invention sorts the weighed articles into the weight rank to which the weighed value of the article belongs, and the weighed articles are sorted into a predetermined number of weight ranks in a substantially predetermined number. The boundary weight classification determining means determines one or more weight classifications of a predetermined number of weight ranks as boundary weight classifications based on the number of weighing signals belonging to each weight classification so that the weight classifications can be selected in proportion. Determine sequentially. And
Boundary weight classification changing means changes the setting to the sequentially determined new boundary weight classification instead of the previously set old boundary weight classification.

[0011]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS A first embodiment of the present invention will be described with reference to the drawings. The weight sorter of this embodiment is applied to, for example, a dismantling line that dismantles carcasses of chickens. As shown in FIG. 1, this dismantling line includes a feed conveyor 1, a weighing conveyor 2, a feed conveyor 4, a flow divider 5, a small size line 11, a large size line 12, and each of these lines 11,
12 is provided with conveyors 13 and 13 for transporting carcasses. Then, as shown in FIG. 4, the weighing conveyor 2 is supported by a weight detector 3 such as a load cell. In addition, between the feeding conveyor 1 and the weighing conveyor 2,
A photo sensor PH ₁ for detecting a carcass is provided, and an equivalent photo sensor PH ₂ is provided between the delivery conveyor 4 and the flow divider 5. The carcass 14 is fed by the feeding conveyor 1 and is conveyed to the small size line 11 or the large size line 12 according to the measured value.

By the way, the small size line 11 and the large size line 12 are each provided with a dismantling machine (not shown). The dismantling machine of the small size line 11 is adjusted so that the small size (small shape) carcass 14 can be dismantled, and the dismantling machine of the large size line 12 dismantles the large size (large shape) carcass 14. I adjusted it so that I could do it. Since it can be considered that there is a substantially proportional relationship between the size and weight of the carcass, the size of the carcass is selected by selecting the weight of the carcass.

Further, the weight of the carcass that can be dismantled by the dismantling machine adjusted for the small size is higher than the lower limit of the weight of the carcass that can be dismantled by the dismantling machine adjusted for the large size. Has been adjusted. That is, the slaughterer is adjusted so that a medium-sized carcass in a certain weight range can be slaughtered on both lines. Therefore, for example, by setting a new boundary weight value that is larger (or smaller) than the old boundary weight value, the medium size of weight that was assigned to the large size (or small size) line up to the previous weighing Even when the carcasses are sorted into small size (or large size) lines, the small size (or large size) dismantling machine is adjusted so that the carcass can be dismantled.

FIG. 4 is a block diagram showing the electrical relationship of the weight sorter and the flow divider 5. 3 is a weight detector, 6 is an amplifier, 7 is an A / D converter, 8 is an input / output circuit of a microcomputer, 9 is a microprocessor (hereinafter referred to as CPU), 10 is ROM, RAM, E ² ROM, etc. A storage unit including a memory element, 11 is a keyboard (input unit), 20 is a display unit, and PH ₁ and PH ₂ are photosensors.

When the weight of the carcass is selected by this weight selector, the carcass 14 is supplied to the feeding conveyor 1 shown in FIG. The carcass conveyed by the feeding conveyor 1 shields the photosensor PH ₁ from light at a position immediately before the weighing conveyor 2. At this time, the output pulse of the photo sensor PH ₁ is input to the CPU 9 via the input / output circuit 8. When the carcass gets on the weighing conveyor 2, the weight detector 3 outputs an analog weighing signal. This weighing signal is amplified by the amplifier 6 and converted into a digital weighing signal by the A / D converter 7. The output pulse of the photo sensor PH ₁ is the CPU
When the specified stabilization time has elapsed after entering the
U9 obtains the weight value of the carcass, compares the weight value with the boundary weight value set in the storage unit 10, and sends the comparison result to the flow divider 5 as a flow dividing signal. Then, when a predetermined time has passed after the carcass shields the photosensor PH ₂ and the article is placed on the shunt 5, the shunt 5 uses the shunt signal to move the carcass to the small size line 11 or the large size. Line 12
Sort into.

In addition, the weight sorter sorts the weight of the carcasses sequentially loaded as described above, calculates the weighing signals obtained sequentially, and successively calculates a new boundary weight value. The new boundary weight value can be stored in the storage unit 10. This new boundary weight value becomes the new standard against which the measured value is compared. The boundary weight value is obtained by measuring the carcass with a small size line 11 and a large size line 12.
This is a value that allows distribution to and in an approximately equal number. That is, since the weight distribution of the carcass can be regarded as a normal distribution, the boundary weight value in this case can be obtained by calculating the average weight value. Boundary weight value calculating means calculates this boundary weight value. And
The boundary weight value changing means stores the calculated new boundary weight value in the storage unit 10 and uses it as a new reference. Each function of the boundary weight value calculating means and the boundary weight value changing means is C according to a predetermined program stored in the storage unit 10.
This is achieved by the PU 9 performing calculation and processing.

Next, a procedure for sequentially calculating new boundary weight values and setting the calculated new boundary weight values in the storage unit 10 in place of the old boundary weight values is shown in FIG.
This will be described with reference to FIG. This serial register 15 is
It is provided in the storage unit 10. The register 15 includes, for example, N cells 16 and one cell 16 has one cell 16.
One weighing signal can be stored. This cell 16
The number of can be set to a desired number by operating the keyboard 11. Now, when the weight of the carcass is sequentially measured, each measurement signal is sequentially stored in each cell 16. When the N weighing signals are stored in the register 15, the boundary weight value calculating means calculates the average value of the N weighing signals, and the calculated average value is used as the boundary weight value in the storage unit 1.
Store at 0. The boundary weight value stored in the storage unit 10 is used as a reference to compare the Nth weighing signals obtained. Therefore, when the weighing signal is larger than the boundary weight value, the article is sorted to the large size line 12. If the weighing signal is smaller than this boundary weight value, the article is sorted to the small size line 11.

Next, when the weighing signal of the (N + 1) th article is input, the oldest weighing signal is erased and the current weighing signal is stored in the register 15. Then, the boundary weight value calculating means calculates an average value of the latest N weighing signals including the current weighing signal, and stores the calculated new average value in the storage unit 10 as a new boundary weight value. Then, the weighing signals obtained at the (N + 1) th number are compared with each other on the basis of the new boundary weight value, and are distributed to the corresponding lines in the same manner as described above. In the same manner, a new average value (boundary weight value) is calculated each time the weighing signal is sequentially obtained, and the articles are sorted based on this boundary weight.

As described above, since the newly obtained weighing signal of the carcass is used as the data to sequentially calculate the average value and the boundary weight value is replaced with the new one, the data of the weighing value may be extremely large. If the small ones are not mixed, the weighed carcass can be distributed to the two lines 11 and 12 in a substantially one-to-one manner. In other words, even if the average value of the carcass population fluctuates to some extent due to differences in suppliers, the carcasses can be distributed to the two lines 11 and 12 in a substantially equal number.

The weight sorter of the second embodiment will be described. This weight sorter enables the weighed carcasses to be distributed to the two lines 11 and 12 in a substantially one-to-one relationship even when the weighing signal includes extremely large or small weighing signals. That is, the difference between the weight sorter of the second embodiment and the weight sorter of the first embodiment is that in the first embodiment, N weighing signals are simply added to calculate an average value,
Although the average value is used as the boundary weight value, in the second embodiment, the weighted average value is calculated and the calculated weighted average value is used as the boundary weight value. The other points are the same as those in the first embodiment, and detailed description thereof will be omitted.

For example, as shown in FIG. 2, (1) a weighting coefficient for a weighing signal within a range of ± 10% from the average value is 1.0 (2) ± 10% exceeding ± 10% from the average value The weighting coefficient for the weighing signal within the weight range within 0.5 (3) The weighting coefficient for the weighing signal within the weight range exceeding ± 20% from the average value is 0.1. The average value of (1) to (3) is the boundary weight value stored in the storage unit 10 immediately before the weighting coefficient is given to the weighing signal obtained this time. Now, the number of cells 16 of the serial register 15 is set to N = 10, and the ten stored weighing signals are W ₁ ,
Let W ₂ , W ₃ , ..., W ₉ , W ₁₀ . Of these 10 weighing signals, W _{1 to} W ₉ belong to the weight range of (1),
If W ₁₀ belongs to the weight range of (3), the weighted average value (bar W ′) is

## EQU1 ## (Bar W ′) = (W ₁ + W ₂ + ... + W ₈ + W ₉ + 0.1 × W ₁₀ ) / (9 + 0.1)

That is, each weighing signal is multiplied by the corresponding weighting coefficient, and this multiplication value is used as the data of the weighing signal of the carcass. Then, the weighting coefficient is used as the number of data. Then, the weighted average value (bar W ′) is stored in the storage unit 10 as a boundary weight value,
For example, W _{10 of the} latest weighing signal based on (bar W ′)
Select the weight of. In this way, by using the weighted average value (bar W ′) as the boundary weight value, even if there are extremely large or small weighing signals,
It is possible to prevent the boundary weight value from being greatly shifted by such a weighing signal.
It can be divided into two lines for pair 1.

Next, another example of how to determine the weighting coefficient will be described. For example, (1) a weighting coefficient for a weighing signal in a weight range of ± 2σ (σ is a standard deviation) from the average value is 1.0 (2) a weight range exceeding ± 2σ and within ± 3σ from the average value (3) The weighting coefficient for a weighing signal in a range of ± 3σ from the average value is set to 0.1. The average value of (1) to (3) is the boundary weight value stored in the storage unit 10 immediately before the weighting coefficient is given to the weighing signal obtained this time, and σ is obtained by the previous time. And the standard deviation of N weighing signals.

As an example, the weight values W _{1 to} W _{10 of} N = 10 weighing signals are W ₁ = 1.1, W ₂ = 1.0, W _{3
= 0.95, W 4 = 1.05,} W 5 = 1.05, W 6 =
1.0, W ₇ = 1.1, W ₈ = 0.95, W ₉ = 1.0
5, W ₁₀ = 0.5 (unit: kg).

When the simple average value is calculated, (bar W) = 0.
It is 975 kg. Now, for example, this (bar W) = 0.9
Assuming that these 10 articles are distributed by 75 kg, W ₁ , W ₂ , W ₄ ,
_{W 5, W 6, W 7} , distributed seven articles of the weight value of W _9, the small sized line _{11 W 3, W 5, W} 3 of ₁₀
Individual articles are sorted. As described above, when the articles are sorted based on the simple average value, even if one article has an extremely small weight value such as W ₁₀ = 0.5,
Since the simple average value largely deviates to the smaller side, the number of carcasses distributed to the two lines becomes unbalanced.

On the other hand, according to the weighted average value (bar W ') based on the standard deviation σ, (bar W') is

[Formula 2] (Bar W ') = (1.1 + 1.0 + 0.95 + 1.05 + 1.05 + 1.0 + 1.1 + 0.95 + 1.05 + 0.5 x 0.1) / (9 + 0.1) = 1.02 (kg). When the articles are sorted based on the weighted average value (bar W ′), W ₁ on the large size line 12 side,
Five articles having weight values of W ₄ , W ₅ , W ₇ , and W ₉ are sorted, and W ₂ , W ₃ , W ₆ , and W are assigned to the small size line 11.
_Since 5 items of ₈ and W ₁₀ are distributed, the ratio of the number distributed to each of the two lines 11 and 12 is 1: 1.
Can be

The method of determining the weighting coefficient may employ a method other than the above. The general formula for calculating the weighted average value (bar W ') is

## EQU3 ## It can be expressed as (bar W ') = (W ₁ × α ₁ + W ₂ × α ₂ + ... + W _N × α _N ) / (α ₁ + α ₂ + ... + α _N ). . However, α _{1 to} α _N are weighting coefficients.

The weight sorter of the third embodiment will be described. As with the second embodiment, this weight sorter enables the weighed carcasses to be distributed into two lines in a substantially one-to-one relationship even when the weighing signal includes extremely large or small weighing signals. It is a thing. That is, the difference between the weight sorter of the third embodiment and the weight sorter of the first embodiment is that in the first embodiment, the N weighing signals are simply added to calculate a simple average value. Although the simple average value is used as the boundary weight value, in the third embodiment, the weighing signal in the weight range exceeding ± 3σ from the average value is excluded from the data, and the simple average value is calculated based on the remaining weighing signals. By the way. The other points are the same as those in the first embodiment, and detailed description thereof will be omitted. The average value serving as a reference of ± 3σ is an old average value (boundary weight value) calculated based on the N measurement signals immediately before the current measurement signal is obtained.

Now, for example, the weight value W explained in the second embodiment.
_{It is} assumed that _{1 to} W ₁₀ is obtained. W ₁₀ = 0.5 and W ₁₀
Is in the weight range exceeding ± 3σ from the average value, W ₁₀ is excluded and a simple average value (bar W ″) of W _{1 to} W ₉ is calculated. Is determined as the boundary weight value. That is,

Equation 4] (bar _{W ") = (W 1 +} ··· + W 9) / 9 ≒ is 1.028 (kg), obtained in the second embodiment (bar W ') = 1.02
It is a value approximately equal to (kg). Therefore, the carcass can be distributed to the two lines 11 and 12 substantially equally as in the second embodiment.

The weight sorter of the fourth embodiment will be described. Fourth
The difference between the weight sorter of the embodiment and the weight sorter of the first embodiment is that in the first embodiment, the average value of N weighing signals is calculated and the average value is used as the boundary weight value. In the fourth embodiment, the number of carcasses to be distributed to each of the two lines 11 and 12 is counted and approximately the same number of carcasses can be distributed to each of the two lines. Then, the weighing signal is weight-selected based on this boundary weight classification. However, other than that, since it is the same as the first embodiment, detailed description of the same portions will be omitted.

Here, the number of cells 16 of the serial register 15 will be described as N = 20. Then, as shown in FIG. 6, the weight is divided every 50 g, and a total of 12 weight divisions are determined. The first time shown in FIG. 6 indicates the weight distribution of each carcass when the 20th carcass was weighed after the carcass was weighed. The second time, ..., the nth time is the 21st time since the carcass was weighed, ..., 20+
The weight distribution of the latest 20 total carcasses when the (n-1) th carcass is weighed is shown. The numbers written on the lower positions of the first, second, ..., Nth times are the number of carcasses having the weight values belonging to the respective weight categories. Then, as described in the first embodiment, for example, when the 21st weight value is stored in the serial register 15, the oldest weight value is deleted.
When the weight distributions of the first and second weight values in FIG. 6 are compared, the oldest 20th weight value W ₁ of the 20th weight values at the _{first time} is 0.85 ≧ W ≧ 0. The weight value W ₂₁ of the 21st piece of the second time is 1.
It can be seen that they belong to the weight category of 05 ≧ W ≧ 1.00.

Next, the procedure for determining the boundary weight classification will be described. As described above, the boundary weight category is a weight category that serves as a reference by which the weighed carcasses can be distributed to the large size line 12 and the small size line 11 in substantially the same number. First, for example, the number of carcasses belonging to each weight category is summed from the weight category having the smallest weight. Then, in order to evenly distribute the carcasses to the two large and small lines 11 and 12, it is necessary to divide the carcasses into groups of 10.

In the case of the first time shown in FIG. 6, the number distributed to the small size line 11 side exceeds 10 is 1.0.
The weight division is 5 ≧ W ≧ 1.00, and the total number of carcasses is 1 + 3 + 2 + 4 + 3 = 13. Next, one weight segment is returned to the smaller side, and the total number of carcasses up to 1.00 ≧ W ≧ 0.95 is calculated. In this case, 1.00 ≧ W ≧
Since the total number of carcasses up to 0.95 is 10,
The weight division of 1.00 ≧ W ≧ 0.95 is determined as the boundary weight division. The boundary weight classification determining means according to claim 2 determines the boundary weight classification. Therefore, if the weight of the 20th most recently weighed carcass is 1.00 kg or less, it is distributed to the small size line 11, and if it exceeds 1.00 kg, it is distributed to the large size line 12. However,
If the total number of carcasses up to 1.00 ≧ W ≧ 0.95 is less than 10, whichever of the number and the total number of carcasses up to the weight category (13) up to It is determined whether or not the number is close to 10, and the weight category with the total number of 10 is determined as the boundary weight category. Then, in the case where the difference in the total number is equal to 10 in any of the total numbers, one weight category is programmed in advance.

Next, the second result is 1.00 ≧ W ≧
There are 9 weight categories up to 0.95, 1.0 above
There are 13 weight categories up to 5 ≧ W ≧ 1.00. In this case, 9 is closer to 10 than 13 so that 1.
The weight division of 00 ≧ W ≧ 0.95 is determined as the boundary weight division, and the carcasses of the weight divisions below this boundary weight division are allotted to the small size line 11. Here, when the boundary weight division is determined for the second time, the weight of the 21st carcass is selected based on the boundary weight division for the second time instead of the boundary weight division for the first time. In this way, the boundary weight classification changing means according to claim 2 sequentially changes the old boundary weight classification to the new boundary weight classification. In this example, the first and second boundary weight classifications are the same. After that, a heavy carcass was weighed, and at the nth time, 1.0
There are 6 pieces up to the weight division of 5 ≧ W ≧ 1.00, and 11 pieces up to the weight division of 1.10 ≧ W ≧ 1.05 which is one higher. In this case, 11 pieces are closer to 10 pieces than 6 pieces, so the weight division of 1.10 ≧ W ≧ 1.05 is determined as the boundary weight division, and the carcasses up to this boundary weight division are set to the small size line. Distribute to 11 people.

However, in order to distribute the carcasses to the two lines at a ratio of 1 to 1, the number was counted on the basis of 10. However, for example, there is a difference in the number of workers on both lines and the skill level of the workers. In some cases, the carcass can be divided into two small lines and large lines 11 and 12 at a desired ratio, for example, 2 to 3. For example, when allocating to 2 to 3, 8 is set as the reference number.

The weight sorter of the fifth embodiment will be described. Fifth
The difference between the weight sorter of the embodiment and the weight sorter of the first embodiment is that in the first embodiment, the carcass is approximately equal to two lines with the average value of N weighing signals as the boundary weight value. However, in the fifth embodiment, it is 2
Border weight values that allow carcasses to be distributed to each of the three lines at a desired ratio can be automatically set. However, except for the above-mentioned differences, the second embodiment is the same as the first embodiment, and detailed description of the same parts will be omitted. In this embodiment, the number of cells 16 of the serial register 15 is set to 20.

For example, assuming that the weight distribution of the latest 20 carcasses is as shown in FIG. 3, each of the large and small lines 1
When setting the ratio of the number of carcasses to be divided into 1 and 12 to K ₁ to K ₂ , first,

[Formula 5] [Y · 1 + {Y− (W ₂ −W ₁ )} · ₂ + {Y− (W ₃ −W ₁ )} · 4] / [{(W ₄ −W ₁ ) −Y} · 5 + _{{(W 5 -W 1) -Y} } · 3 + {(W 6 -W 1) -Y} · 3 + {(W 7 - W 1) -Y} · 1 + {(W 8 -W 1) -Y} - 1] = calculates the weight value Y that satisfies K ₁ / K _2. Then, Y + W ₁ is obtained and this is determined as the boundary weight value. Then, the weight of the 20th carcass is selected based on this boundary weight value. Similarly, when the weight values of the 21st, 22nd ... Carcasses are obtained, new boundary weight values are respectively obtained, and the 21st, 22nd ...・ ・ Weigh the carcasses. Thereby, the carcasses can be distributed to the large and small lines 11 and 12 at a ratio of approximately K ₁ to K ₂ .

Then, the weighting coefficient can be applied to the above equation. For example, if the weighting factors for each weight of W _{1 to} W ₈ are α _{1 to} α ₂ , first,

(6) [α₁・ Y ・ 1 + α₂・ {Y- (W₂-W₁)} ・ 2 + α₃・ {Y- (W₃-W₁)} ・ 4] / [α_Four・ {(W_Four-W₁) -Y} · 5 + α_Five・ {(W_Five-W₁) -Y} · 3 + α ₆ ・ {(W₆-W₁) -Y} · 3 + α₇・ {(W₇-W₁) -Y} · 1 + α₈・ {(W₈− W₁) -Y} · 1] = K₁/ K₂ A weight value Y satisfying the above is calculated. And Y + W₁Seeking
This is determined as the boundary weight value and based on this boundary weight value.
And select the weight of the 20th carcass. Similarly, 21
When the weight value of the carcass of the 22nd eye ...
The new boundary weight value is calculated based on the new boundary weight value.
The 21st, 22nd ... Carcasses are weighed.
As a result, the large and small lines 11 and 12 are approximately K₁Vs. K
₂The carcass can be sorted by the ratio.

However, in the first to fifth embodiments, the weight sorter is applied to the carcass dismantling line, but the present invention is not limited to this, and like the conventionally known weight sorters,
The desired articles can be weighed and weighed.

In the first embodiment, the average value is set as the boundary weight value, and the carcasses are distributed to the two lines 11 and 12 substantially evenly. However, the carcasses are distributed at a ratio other than 1: 1. A desired boundary weight value can be calculated and used by a statistical method based on the weighing signal data so as to be distributed. Then, one boundary weight value was obtained in order to divide the carcass into the two lines 11 and 12. However, when dividing the carcass into three or more lines, two or more boundary weight values were obtained and the two or more boundaries were determined. Carcass weight selection can be performed based on weight values.

In the second embodiment, the value of the weighting coefficient and the weight range corresponding to the weighting coefficient are appropriate values and weight ranges other than those in the embodiment based on the width of the weight distribution of the carcass, the distribution method, etc. Can be

In the fourth embodiment, the weight range of each weight segment is 50 g, but other weight ranges other than 50 g can be used depending on the weight of the carcass. Further, although the number of weight divisions is 12, the number may be other than this.

In the fifth embodiment, one boundary weight value was obtained in order to divide the carcass into the two lines 11 and 12. However, when dividing the carcass into three or more lines, two or more boundary weight values were obtained. The carcass weight can be sorted based on the two or more boundary weight values. That is, for example, when the carcasses are divided into three lines of small, medium, and large at a ratio of 1: 2: 3, for example, first, the carcass can be divided at a ratio of 1: 5. Calculate the value. Next, a second boundary weight value is calculated that allows the weight distribution of the carcasses on the side of distribution of 5 to be distributed at a ratio of 2 to 3. In this way it is possible to determine two border weight values with which the carcasses can be sorted at a ratio of 1: 2: 3.

[0044]

According to the weight sorter of the present invention, for example, the average weight of the articles to be weighed fluctuates toward the heavy side or the light side,
Even if the standard deviation of the item to be weighed changes,
There is an effect that the weighed articles can be sorted into each weight rank at a ratio of a substantially predetermined number.

Then, a weight for dividing the weight sorter into, for example, a large size line for disassembling a carcass of a large size and a small size line for disassembling a carcass of a small size. When used as a sorter, even if the average weight of the carcasses to be weighed varies, the weighed carcasses can be distributed to these two lines at a ratio of a predetermined number. Therefore, there is an effect that it is possible to adjust the degree of work burden on a person who works on each of these two lines so as to be substantially equal, for example.

Since the carcass can be distributed to each line at a substantially predetermined ratio, both lines can be operated at all times, which has the effect of improving the dismantling efficiency.

Further, since a large size carcass can be distributed to the large size line and a small size carcass can be distributed to the small size line, the number of adjustments of the dismantling machine provided in each line can be changed from the conventional one. Similarly, there is an effect that the number of times can be reduced.

However, although the effect of distributing carcasses to two lines using this weight sorter was sought, the carcasses are distributed to three or more lines substantially evenly using this weight sorter. In this case, the same effect as the above can be obtained.

When the carcasses are distributed to each line of 2 or 3 or more, there is an effect that the carcasses can be distributed at a desired ratio according to the capacity of each line.

[Brief description of drawings]

FIG. 1 is a diagram showing a carcass dismantling line provided with a weight sorter according to a first embodiment of the present invention.

FIG. 2 is a diagram showing a relationship between a weighting coefficient and a weight range according to the second embodiment.

FIG. 3 is a diagram showing the carcass weight and the number of carcasses belonging to each weight in the fifth example.

FIG. 4 is a block diagram of an electric circuit of the weight sorter according to the first embodiment.

FIG. 5 is a diagram showing a serial register of the first embodiment.

FIG. 6 is a diagram showing weight categories and the number of carcasses belonging to each weight category in the fourth embodiment.

FIG. 7 is a diagram showing a weight distribution of carcasses for each delivery destination of the carcass.

[Explanation of symbols]

 2 Weighing conveyor 3 Weight detector 8 CPU 10 Storage unit 15 Serial register

Claims (2)

[Claims] 1. A weight sorter that sorts the articles into the weight ranks corresponding to the weight value of the articles among the predetermined number of weight ranks defined for each different weight range. Boundary weight value calculating means for sequentially calculating one or two or more boundary weight values of the predetermined number of weight ranks based on the measured value of the articles so that the weight ranks can be selected at a substantially predetermined ratio. And a boundary weight value changing means for changing the setting to a newly calculated new boundary weight value in place of the previously set old boundary weight value. 2. A weight sorter for sorting the articles into the weight ranks corresponding to the weight value of the articles among the predetermined number of weight ranks defined for the different weight ranges, respectively. One or two or more of the above-mentioned weights, which have been set and are capable of sorting the weighed articles into the above-mentioned predetermined number of weight ranks at a substantially predetermined number based on the number of weighing signals belonging to the respective weight categories. Boundary weight classification determining means for sequentially determining the classification as the boundary weight classification, and boundary weight classification changing means for changing the setting to the sequentially determined new boundary weight classification in place of the previously set old boundary weight classification. A weight sorter characterized by comprising: