JP2014163864A - Weighing device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To make setting operation, of a boundary weight value or the like for rank selection, easy and proper.SOLUTION: In a setting operation screen for setting a boundary weight value or the like, a graphic chart indicating a state of weight distribution of articles, and positions of the boundary weight value for categorizing the weight distribution into a plurality of weight ranks are displayed in the same screen.

Description

  The present invention relates to a weighing device for weighing an article, and more particularly to setting of a set value for a weighing device and a display for the setting.

  For example, commodities such as agricultural and fishery products are of the same type and are packed in boxes of predetermined weights and are traded in this boxed state. When a product is boxed by a predetermined weight, a weight sorter that measures the product and determines its weight rank and a sorting device that distributes the product to the determined weight rank are used.

  The weight sorter has a predetermined number of weight ranks set in advance for each different weight range, and sequentially weighs the weight of the articles to determine the corresponding weight rank of each measured value. Each measured article that has been weighed is distributed by a distribution device to a predetermined distribution position for each weight rank (for example, Patent Documents 1 and 2).

Japanese Patent No. 4112074 JP 2010-247101 A

  In a conventional weight sorter, when an operator sets, for example, a boundary weight value that defines the weight range of each weight rank, or sets a desired number ratio of articles to be sorted into each weight rank, etc. It cannot be set while directly grasping the relationship with the state of weight distribution.

  For this reason, how the boundary weight value is set and how the number ratio selected for each weight rank changes, and how the weight ratio for each weight rank is set and the weight of each weight rank is set. It is difficult to directly grasp how the range changes, and it is difficult to set the boundary weight value, the number ratio, etc. appropriately according to the state of the weight distribution of the article.

  In addition, when the lot of an article to be weighed changes and its weight distribution changes, the boundary weight value that has already been set, etc. is promptly changed according to the change in the weight distribution of the article. It is also difficult to set.

  The present invention has been made in view of the above points, and it is an object of the present invention to allow a setting operation such as a boundary weight value for rank selection to be performed appropriately and easily.

  In order to achieve the above object, the present invention is configured as follows.

(1) The weighing device of the present invention is a weighing device for weighing an article,
A graph showing the state of the weight distribution of the article, and display means for displaying the position of the boundary weight value for dividing the weight distribution into a plurality of weight ranks on the same screen;
Setting means for setting the boundary weight value.

  The setting means may be one in which the boundary weight value is directly set, or the boundary weight value according to the setting is indirectly set by setting the number ratio of the weight rank or the like. Further, the boundary weight value may be set directly, but may also be set indirectly.

  According to the weighing device of the present invention, when the boundary weight value is set directly or indirectly as a number ratio or the like, the graph indicating the weight distribution state of the article and the position of the set boundary weight value are the same. Since it is displayed on the screen, the relationship between the graph indicating the weight distribution state of the article and the position of the boundary weight value can be directly grasped visually. As a result, how the weight distribution corresponding to the weight range of each weight rank changes according to the boundary weight value set directly or indirectly, or what number ratio is selected for each weight rank. Since it is possible to directly determine whether the change is made or not, the boundary weight value is set directly or indirectly as a number ratio or the like appropriately and easily according to the weight distribution state of the article. be able to.

  (2) In a preferred embodiment of the weighing apparatus of the present invention, the setting means includes a setting unit in which the boundary weight value is directly set.

  According to this embodiment, the boundary weight value can be directly set by operating the setting unit, and the position of the boundary weight value that is directly set, the state of the weight distribution of the article, and the state of the weight distribution by weight rank are shown. An appropriate boundary weight value can be set while grasping the relationship with the graph.

  (3) In another embodiment of the weighing device of the present invention, the setting means is configured such that the boundary weight value is indirectly set, and the number ratio of the articles for each of the plurality of weight ranks is set. And a boundary weight value determining unit that determines the corresponding boundary weight value according to the setting of the number ratio and uses the determined boundary weight value as a set value.

  According to this embodiment, when the number ratio for each weight rank is set by operating the setting unit, the boundary weight value is indirectly set so that articles are selected at the set number ratio. Appropriate, while grasping the relationship between the position of the boundary weight value that is set automatically, the state of the weight distribution of the article, and the graph showing the weight distribution state by weight rank of the article corresponding to the position of the boundary weight value A simple number ratio can be set easily.

  (4) In another embodiment of the weighing device of the present invention, the setting means is configured such that the boundary weight value is indirectly set, and an average weight value of the articles by the plurality of weight ranks is set. A setting unit that is set, and a boundary weight value determination unit that determines the corresponding boundary weight value according to the setting of the average weight value and uses the determined boundary weight value as a setting value.

  According to this embodiment, when the setting unit is operated to set the average weight value for each weight rank, the boundary weight value is indirectly set so that the average weight value for each weight rank becomes the set average weight value. Therefore, the relationship between the indirectly set position of the boundary weight value, the state of the weight distribution of the article, and the graph indicating the state of the weight distribution according to the weight rank of the article corresponding to the position of the boundary weight value. It is possible to easily set an appropriate average weight value while grasping.

  (5) In still another embodiment of the weighing apparatus according to the present invention, the setting unit includes an increase / decrease key operated to increase / decrease the set value by a fixed value, and the display means includes the increase / decrease key. The position of the boundary weight value changed and set by the setting means in accordance with the operation is displayed with a minute movement with respect to the graph indicating the state of the weight distribution of the article.

  According to this embodiment, after setting the setting value such as the boundary weight value by the setting unit, when the setting value is increased or decreased by operating the increase / decrease key, the position of the boundary weight value to be changed becomes the weight distribution of the article. Since the minute movement display is performed with respect to the graph indicating the state, the set value can be easily and accurately adjusted to be an appropriate position with respect to the graph indicating the state of the weight distribution of the article.

  (6) In another embodiment of the weighing device of the present invention, the graph showing the state of the weight distribution of the article is at least one of a normal distribution graph and a frequency distribution histogram.

  According to this embodiment, the position of the boundary weight value to be set is displayed on the same screen together with the graph of the normal distribution indicating the state of the weight distribution of the article and the graph of the frequency distribution. It is possible to directly grasp how the weight distribution in the weight range of each weight rank changes or how the number ratio selected for each weight rank changes. The boundary weight value can be set appropriately and easily according to the state of the weight distribution.

  (7) In the embodiment of the above (6), the at least one graph is based on a measured value of the measured item.

  According to this embodiment, the normal distribution graph and the frequency distribution graph showing the state of the weight distribution of the article are displayed based on the measurement value obtained by weighing the article. For example, the weight distribution of the article is changed instead of the lot of the article. When the state changes, the change can be visually recognized by the display means, and can be quickly changed to an appropriate set value.

  (8) In the embodiment of the above (7), the display means may display the at least one graph based on the measurement value of the article acquired up to a plurality of different time points on the same screen. Good.

  According to this embodiment, since the graphs based on the measurement values of the articles acquired up to a plurality of different time points can be displayed on the same screen, the graph based on the measurement values of the articles acquired up to a certain time point and the subsequent time points By comparing with the graph based on the measured value of the article acquired up to now, it is possible to grasp the change in the weight distribution state of the article and the state of the weight distribution by weight rank, and set the appropriate setting value again .

  (9) In another embodiment of the weighing device of the present invention, the weighing device sorts the weighed articles into weight ranks that are classified by the set boundary weight values.

  According to this embodiment, the weighing device is suitable for a weight sorter that weighs articles and sorts them into weight ranks.

  According to the present invention, when the boundary weight value is set directly or indirectly as a number ratio or the like, the graph showing the weight distribution state of the article and the weight distribution state by weight rank, and the set boundary weight value Are displayed on the same screen, the relationship between the weight distribution state of the article and the weight distribution state by weight rank and the position of the boundary weight value can be grasped visually. Depending on the boundary weight value set directly or indirectly, how the weight distribution in each weight rank and the weight distribution within each weight rank change, or Since it is possible to directly grasp visually how the number ratio selected for the weight rank changes, the boundary weight value can be set directly and easily according to the state of the weight distribution of the article. The number ratio can be set indirectly.

It is a schematic structure figure of a weight sorter concerning one embodiment of the present invention. It is a figure which shows an example of the setting operation screen of normal distribution mode. It is a figure for demonstrating calculation of the number ratio accompanying the setting of a boundary weight value. It is a figure which shows an example of a boundary weight value and a normalization value display table. It is a figure which shows the number ratio display table corresponding to FIG. It is a figure which shows a standard normal distribution table. It is a flowchart which shows the process corresponding to operation of an increment key. It is a figure which shows an example of the present weight distribution screen of normal distribution mode. It is a figure which shows the other example of the present weight distribution screen of normal distribution mode. It is a figure which shows the other example of the setting operation screen of normal distribution mode. It is a figure which shows the conversion table used for calculation of the boundary weight value according to a number ratio. It is a figure which shows the other example of the setting operation screen of normal distribution mode. It is a figure which shows an example of the setting operation screen of frequency distribution mode. It is a figure which shows an example of the present weight distribution screen of frequency distribution mode. It is a figure which shows the other example of the present weight distribution screen of frequency distribution mode. It is a figure which shows the other example of the setting operation screen of frequency distribution mode. It is a figure which shows the further another example of the setting operation screen of frequency distribution mode.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

  FIG. 1 is a block diagram showing a schematic configuration of a weight sorter as a weighing device according to an embodiment of the present invention.

  The weight sorter of this embodiment sorts the same kind of agricultural and marine products (hereinafter referred to as “articles”) such as fruits and fish into a predetermined number of weight ranks.

The weight sorter includes a carry-in conveyor 1, a weighing conveyor 2, a carry-out conveyor 3, and a distribution device 4. The weighing conveyor 2 is supported by a weight detector 5 such as a load cell. Further, a photo sensor PH ₁ for detecting an article is provided between the carry-in conveyor 1 and the weighing conveyor 2, and the photo sensor PH ₂₁ , PH _{22 ,.} Is provided.

The weight sorter includes an amplifier 6, an A / D converter 7, a microcomputer input / output circuit 8, a microprocessor (hereinafter referred to as "CPU") 9, a memory element such as a ROM, a RAM, and an E ² ROM. A storage unit 10 and an operation setting display 11 are provided.

  The operation setting indicator 11 of this embodiment is configured using, for example, a touch panel display, and functions as a setting means for operating the weight sorter and setting the operating conditions thereof, and the state of the weight distribution of the article And a function as a display means for displaying a graph showing the state of weight distribution by weight rank, total data, and the like. In addition, it is good also as a structure provided separately with not only a touchscreen display but display devices, such as a liquid crystal display, and setting devices, such as a keyboard.

When the weight of the article 12 is sorted by the weight sorter, the article 12 is supplied to the carry-in conveyor 1 shown in FIG. The article 12 conveyed by the carry-in 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 photosensor PH ₁ is input to the CPU 9 via the input / output circuit 8. When the article 12 is placed on the weighing conveyor 2, the weight detector 5 outputs an analog weighing signal. This measurement signal is amplified by the amplifier 6 and converted into a digital measurement signal by the A / D converter 7. Then, when a predetermined stabilization time has elapsed after the output pulse of the photosensor PH ₁ is input to the CPU 9, the CPU 9 obtains a measurement value of the article, and the measurement value is a predetermined number of weights set in the storage unit 10. Which weight rank belongs to the rank is determined, and the determination result is sent to the distribution device 4 as a distribution signal.

The article 12 having been weighed is conveyed to the sorting device 4 through the weighing conveyor 2 and the carry-out conveyor 3. When the conveyed article 12 shields the photosensor PH _2k corresponding to the weight rank k of the article, the sorting device 4 drives an actuator (not shown) to incline the reject conveyor, and the article 12 of the weight rank k. Can be supplied to a predetermined storage tank for storing articles 12 having a weight rank k.

  In this weight sorter, the operation setting indicator 11 is operated to set, for example, a boundary weight value for rank selection as an operating condition. In this embodiment, a setting operation such as a boundary weight value is performed. In order to be able to perform appropriately and easily, it is comprised as follows.

  That is, in the operation setting display 11, according to the control mode, in the setting operation screen for setting the setting values such as the boundary weight value and the number ratio of each weight rank, the state of the weight distribution of the articles to be weighed and the weight rank The graph showing the state of weight distribution and the position of the boundary weight value that defines the classification of the weight rank of the article are graphically displayed integrally, and if the setting value is changed, the state and weight of the weight distribution of the article With respect to the graph showing the state of the weight distribution for each rank, it is possible to directly recognize how the weight distribution for each weight rank changes as the position of the boundary weight value changes.

  A graph showing the state of the weight distribution of an article is created based on the actual measurement value of the article weighed so far and the weighing data of the article collected by a trial operation before the operation operation. The graph can be updated as the metric value is newly collected.

  As a graph showing the state of the weight distribution of the article, when the weight of the article has a normal distribution property, a normal distribution graph is displayed, and the article has a property of having a weight distribution other than the normal distribution. In such a case, a histogram of the frequency distribution based on the measurement result value is displayed. In the normal distribution graph, the weight distribution state of the article is displayed as a probability density function graph of a standard (standard) normal distribution.

  The operator selects either the normal distribution mode for displaying a normal distribution graph or the frequency distribution mode for displaying a histogram of the frequency distribution as a graph indicating the state of the weight distribution of the article. It can be selected by the operation.

  In the normal distribution mode, a measurement value use mode that uses the actual measurement value of the article weighed in order to obtain the probability density function of the normal distribution, or a statistics that is used by setting the average weight value and standard deviation prepared in advance. Any one of the value use modes can be selected by operating the operation setting display 11.

  In the measurement value use mode, the standard density distribution probability density function based on the average weight value calculated from the measurement actual value and the standard deviation is used using the actual measurement value stored in the storage unit 10 of the weight sorter. To do. A newly collected measurement value is added to the measurement result value by the operation operation.

  In the statistical value use mode, an average weight value and a standard deviation are directly set, and a probability density function of a standard normal distribution based on the set average weight value and standard deviation is used.

  In the frequency distribution mode, the actual measurement value stored in the storage unit 10 of the weight sorter is used. A newly collected measurement value is added to the measurement result value by the operation operation.

In this embodiment, the following three control modes (i) to (iii) are provided as control modes, and the operator can select a desired control mode by operating the operation setting display 11. .

  (I) Boundary weight value setting mode: This is a control mode in which the classification of each weight rank is determined by setting the boundary weight value, and the number ratio for each weight rank is calculated and displayed according to the weight distribution of the article.

  (Ii) Number ratio setting mode: By setting a desired number ratio for each weight rank, the boundary weight value for each weight rank is set according to the weight distribution of the articles so that the articles are sorted into the set number ratio. This is a control mode for calculating and displaying.

  (Iii) Average weight value setting mode for each weight rank: By setting the target average weight value for each weight rank, the average weight value of articles selected for each weight rank becomes the set target average weight value. This is a control mode for calculating and displaying boundary weight values by rank.

  When the boundary weight value setting mode is selected, the setting operation screen for setting the boundary weight value includes the position of the boundary weight value to be set, the state of the weight distribution of the article, the boundary A graph showing the state of weight distribution by weight rank divided by weight position is displayed integrally, and the number ratio by weight rank calculated according to the set boundary weight value is displayed. . When the boundary weight value to be set is changed, the position of the boundary weight value with respect to the graph showing the state of the weight distribution of the article changes accordingly, the weight distribution by weight rank changes, and the number ratio by weight rank changes. The value changes.

  When the number ratio setting mode is selected, the setting operation screen for setting the number ratio displays the set number ratio and the weight rank calculated by the number ratio. The position of the boundary weight value is integrally displayed with a graph showing the state of the weight distribution of the article and the state of the weight distribution by weight rank divided by the position of the boundary value. When the number ratio value to be set is changed, the boundary weight value changes accordingly, the position of the boundary weight value with respect to the graph showing the weight distribution state of the article changes, and the weight distribution state by weight rank also changes. .

  When the average weight value setting mode by weight rank is selected, the target average weight value to be set is displayed on the setting operation screen for setting the target average weight value by weight rank. The position of the boundary weight value calculated according to the target average weight value is displayed integrally with the graph indicating the state of the weight distribution of the article. When the target average weight value to be set is changed, the boundary weight value changes accordingly, and the weight distribution in the weight rank divided by the position of the boundary weight value in the graph showing the state of the weight distribution of the article changes.

  As described above, in each control mode, on the setting operation screen for setting the set value, the state of the weight distribution of the article and the position of the boundary weight value that defines the weight rank are integrally displayed, and the set value is changed. Then, it is possible to directly recognize how the weight distribution for each weight rank determined by the change in the position of the boundary weight changes with respect to the graph showing the state of the weight distribution of the article.

  Hereinafter, the setting operation on the setting operation screen or the like in each control mode will be described in detail. First, the case where the normal distribution mode is selected will be described, and then the case where the frequency distribution mode is selected will be described. .

(A) [Normal distribution mode]
(A-1) When Boundary Weight Value Setting Mode is Selected (A-1-1) Setting on Setting Operation Screen In the weight sorter of this embodiment, for example, when the power is turned on, the operation setting display 11 A menu screen (not shown) is displayed on the touch panel display. By operating the touch key displayed on this menu screen, the boundary weight value setting mode is selected. Further, the mode is selected by operating either the normal distribution mode key or the frequency distribution mode key. Here, the normal distribution mode key is operated to select the normal distribution mode. In the normal distribution mode, as described above, the weighing value use mode that uses the actual weighing value of the actually weighed article, or the statistical value that is used by setting the average weight value and standard deviation prepared in advance is used. Select one of the usage modes. Here, the measurement value use mode is selected.

  The boundary weight value setting mode is a control mode in which the boundary weight value is directly set as described above to determine the classification by weight rank, and the number ratio by weight rank is calculated and displayed according to the weight distribution of the article. is there.

  FIG. 2 is a diagram illustrating an example of a setting operation screen in the boundary weight value setting mode. The number of weight ranks that can be selected and the number of boundary weight values that can be set are defined by the number of distribution positions of the distribution device 4. In FIG. 2, the maximum weight rank number m = 5, and n = 1 to 1. An example of a setting operation screen when a boundary weight value of 4 is set is shown.

  In this setting operation screen, as a graph showing the state of the weight distribution of the article, the weighing is started from a certain point of time, for example, the starting point of the operation operation or the previous boundary weight value setting point, and the weighings acquired up to now A graph of the probability density function of the standard normal distribution based on the values is displayed with the weight value as the horizontal axis of the coordinates.

  Note that at the start of the operation operation, a graph of the probability density function of the standard normal distribution based on the measurement result values so far and the measurement values collected in advance by a trial operation is displayed.

  In this setting operation screen, the average weight value Wa and the standard deviation Ws are calculated based on the measured values obtained so far and displayed on the upper right of the screen, while the graph of the probability density function of the standard normal distribution is displayed. The position of the average weight value Wa on the horizontal axis corresponding to the weight value is normalized and displayed as μ = 0, the position of the value of Wa−Ws is σ = −1, and the position of Wa + Ws is normalized as σ = 1. Further, the positions of the average weight value Wa (μ = 0), σ = −1, and σ = 1 are indicated by vertical broken line.

  Further, the position of the set boundary weight value is displayed as the boundary division lines L1 to L4 together with the boundary weight value numbers 1 to 4 so as to be orthogonal to the horizontal axis. The vertical axis corresponds to the distribution probability of the article. The reference numerals “L1” to “L4” of the boundary division lines are for convenience of explanation, and are not displayed on the actual setting operation screen.

  If the probability density function representing the standard normal distribution is f (u), the value V on the vertical axis at μ = 0 in FIG. 2 corresponds to the value of f (0) = 0.399.

  Also, at the bottom of this setting operation screen, the boundary weight value that can be set, the boundary weight value corresponding to the number, and the boundary weight value are normalized by the following formula (1) on the assumption of the normal distribution of the standard. A boundary weight value for displaying the normalized value and a normalized value display table T1 are displayed.

Assuming that the weight value of the set boundary weight value n is We <n>, the normalized value, that is, the value u <n> of the probability density function f (u) of the standard normal distribution is the average weight value Wa. And standard deviation Ws u <n> = (We <n> −Wa) / Ws (1)
It becomes.

Therefore, for example, when We <1> which is the boundary weight value 1 at the left end in FIG. 2 is set, the normalized value u <1> is
u <1> = (We <1> −Wa) / Ws
Is calculated as

  The setting operation screen displays a number ratio table T2 that displays the rank numbers of the weight ranks classified by the boundary weight values and the number ratios corresponding to the respective weight ranks. The number ratio is calculated as described later based on the set boundary weight value and the graph of the probability density function of the standard normal distribution.

  Below the setting operation screen, various touch keys 13, 15 to 18 and the like for inputting the setting value are displayed. Note that the touch key also includes a return key (not shown) for returning to the previous screen.

  Next, the setting input operation of the boundary weight value will be described.

  First, on the boundary weight value setting mode setting operation screen shown in FIG. 2, the lower left boundary weight value setting key 13 is operated, whereby the boundary weight value character and its number 1 are displayed on the upper right side of the screen. A small window (not shown) that is displayed in the set input value display area 14 and on which a numeric keypad is displayed opens, and a numeric value can be set by operating the numeric keypad. That is, the smallest leftmost boundary weight value 1 can be set as the first boundary weight value.

  If the boundary weight value setting key 13 is continuously operated without setting the value of the boundary weight value, the boundary weight value number increases to a predetermined maximum value, in this example, “5”, every time it is operated. To do.

  When the boundary weight value setting key 13 is operated to newly set a boundary weight value, the registration key 15 is operated, and then the boundary weight value setting key 13 is operated again, the boundary weight value having a number one larger than the previous one, For example, the boundary weight value 2 is displayed in the set input value display area 14, and the boundary weight value of that number can be set. When the maximum number that can be set is reached, the boundary weight value 1 starts again.

  When the numerical value as the boundary weight value 1 is set with the numeric keypad and the registration key 15 is operated, the set value is displayed in the boundary weight value number 1 column of the boundary weight value and normalized value display table T1 on the setting operation screen. The boundary weight value 1 is stored in the memory table of the storage unit 10 corresponding to the table T1. Further, the normalized value is calculated by the above equation (1), and is displayed on the boundary weight value and normalized value display table T1 together with the boundary weight value.

  Further, the boundary segment line L1 is displayed at the position of the normalized value corresponding to the set boundary weight value 1, and at the same time, the boundary rank number n = 1 and the weight rank numbers “1”, “2” on both sides of the boundary segment line L1. Is displayed.

  The display state of FIG. 2 shows an example of the setting operation screen when the boundary weight values 1 to 4 are set for all the weight ranks 1 to 5, for example, only the first boundary weight value 1 is set. In this state, only the set boundary weight value 1 and the weight rank numbers 1 and 2 on both sides thereof are displayed as shown in FIG. In a state where 2 is set, as shown in FIG. 3B, the set boundary weight value 2 and the weight rank number 3 on the right side thereof are displayed. In FIG. 3, the hatched lines of the regions S1 and S2 of the weight ranks 1 and 2 divided by the boundary weight values 1 and 2, and the reference signs “S1” and “S2” are for convenience of explanation, and are actually It is not displayed on the setting operation screen. Colors may be designated for each weight rank in advance, and the areas within the weight rank classification may be displayed with the determined colors.

  The weight rank is classified by setting the boundary weight value, and the number ratio of articles belonging to the classified weight rank is calculated as follows.

  First, when the boundary weight value 1 is set, the weight rank 1 is divided. As shown in FIG. 3 (a), an article belonging to the weight rank 1 has an area surrounded by a graph of a probability density function of a standard normal distribution and a horizontal axis corresponding to the weight value. The weight is selected by the number ratio corresponding to the distribution probability of the region S1 divided by the normalized value obtained by normalizing 1. Therefore, the distribution probability of weight rank 1 may be calculated based on the probability density function of the standard normal distribution, and this value may be used as the number ratio of weight rank 1.

  Instead of calculating the distribution probability based on the probability density function of the standard normal distribution, it may be calculated from a standard (standard) normal distribution table created based on the probability distribution function for simplification.

  A description will be given with specific numerical examples.

  FIG. 4 is a numerical example of the boundary weight value and normalized value display table T1 of FIG. 2, and is a numerical example in the case of the average weight value Wa = 112 g and the standard deviation Ws = 10 g.

  FIG. 5 is a numerical example of the number ratio display table T2 in FIG. 2 that displays the number ratio for each weight rank calculated in accordance with the boundary weight value set as shown in FIG.

First, when the boundary weight value 1 of No. 1 is set to We <1> = 95 (g) as shown in FIG. 4, the normalized value u <1> is as shown in FIG.
u <1> = (We <1> −Wa) / Ws
= (95-112) / 10
= -1.7
It becomes.

  As described above, the number ratio of articles belonging to the weight rank 1 classified by the boundary weight value 1 is the probability density function graph of the standard normal distribution in FIG. It can be calculated as the distribution probability (area) of the region S1 divided by the conversion value u <1>.

When calculating from the standard normal distribution table, as shown in FIG. 6, the value of the variable Z = 1.7 corresponding to the normalized value u <1> of the standard normal distribution table is 0.4554, Since the distribution probability of the region on the left side of the normalized value u = 0 corresponding to the average weight value Wa in FIG. 3A is 0.5, the distribution probability of the region S1 is
0.5-0.4554 = 0.0446 ≒ 0.045
Thus, as shown in FIG. 5, “0.045” is displayed as the number ratio of the weight rank of weight rank number 1.

  Next, when the boundary weight value 2 is set, the weight rank 2 is divided by the boundary weight value 1 and the boundary weight value 2. The number ratio of articles belonging to the weight rank 2 is represented by the probability density function graph of the normal distribution in FIG. 3B, the horizontal axis, and the normalized values u <1> and u <2> of the boundary weight values 1 and 2. Can be calculated as the distribution probability (area) of the region S2 divided by.

When We <2> = 104 (g) is set as the boundary weight value 2 of number 2 as shown in FIG. 4, the normalized value u <2> is as shown in FIG.
u <2> = (We <2> −Wa) / Ws
= (104-112) / 10
= -0.8
It becomes.

In the standard normal distribution table of FIG. 6, the value of the variable Z = 0.8 corresponding to the standardized value u <2> is 0.2881, so the boundary weight value We <2> of FIG. The distribution probability of the region (S1 + S2) to the left of the corresponding normalized value u = −0.8 is
0.5-0.2881 = 0.2119
It becomes. Therefore, the distribution probability of only the region S2 is obtained by subtracting the distribution probability of the region S1,
0.2119−0.0446 = 0.1673 ≒ 0.167
Thus, as shown in FIG. 5, “0.167” is displayed as the number ratio of the weight rank of the weight rank number 2.

  Hereinafter, similarly, by setting the respective boundary weight values 1 to 4 shown in FIG. 2, the number ratio of articles of each weight rank is calculated, and the weight ratio is displayed in the number ratio display table T2 as shown in FIG. The number ratio is displayed corresponding to the rank number.

  When setting the boundary weight value, if the newly set boundary weight value is smaller than the previously set boundary weight value (in the case of the left side of FIG. 2), the newly set boundary weight value is set to the boundary weight value. The boundary weight value with a small value number is set, the previously set boundary weight value is set as the boundary weight value with a large boundary weight value number, and a new normalized value is calculated.

  Accordingly, the boundary weight value / normalized value display table T1 and the number ratio display table T2 are also updated.

  The operator can set the boundary weight value up to the maximum number specified in the weight sorter, in this example up to four boundary weight values.

  When setting the boundary weight value, the position of the boundary weight value and the width of the section of the weight rank formed by the boundary weight value are plotted on the probability density function graph of the standard normal distribution indicating the state of the weight distribution of the article. Can be matched. As a result, the size of the ratio of the number ratio to the change of the boundary weight value, the number of weight ranks, and the section width of the weight rank can be easily determined by the size of the area of the probability density function graph showing the state of the divided weight distribution. Therefore, it is possible to quickly set an appropriate boundary weight value.

  In order to cancel the set boundary weight value, the boundary weight value number key 16 is operated on the setting operation screen of FIG. 2, and the boundary weight value number to be switched and displayed in the set input value display area 14 is displayed every time the operation is performed. Select “0” as the set value of the selected boundary weight value number, and operate the registration key 15.

  When setting the boundary weight value, the boundary weight value is set up to the number n, and if the boundary weight value of the number n-3 among the set boundary weight values is set, the set value of n-3 is Called.

  When the called value is set to “0” (cleared) and registered, the boundary weight value of n−3 is canceled and is larger than n−3 on the boundary weight value and normalized value display table T1. The numbers of the boundary weight values n-2, n-1, and n are changed to n-3, n-2, and n-1, respectively, the number distribution ratio of the newly changed weight rank is calculated, and the number ratio display table The display content of T2 is updated.

 If the boundary weight value of n-3 is set larger than the boundary weight value of n-2 and smaller than the boundary weight value of n-1, the current boundary weight value of n-2 becomes n-3. The value becomes the boundary weight value of n-2.

  As shown in the graph of the normal distribution, the distribution probability has a region where the distribution probability changes slowly with a change in weight and a region where the distribution probability changes rapidly. Therefore, even if the boundary weight value is slightly changed, the distribution probability of the weight rank may change suddenly. In such a case, it is necessary to easily set a desired number ratio. Therefore, in this embodiment, in order to enable fine change setting of the boundary weight value, that is, fine adjustment in accordance with the current state of weight distribution of the article, it is configured as follows.

  As shown in FIG. 2, the setting operation screen is provided with a fine adjustment key 17, which is effective for fine adjustment of the set boundary weight value.

  When the position of the boundary weight value of a certain boundary weight value number set in advance is to be moved by a minute step with respect to the graph of the probability density function of the standard normal distribution, the boundary weight value number key 16 is operated. Then, after calling the boundary weight value of the number to the set input value display area 14, the fine adjustment key 17 is operated. By operating the fine adjustment key 17, a small window (not shown) in which the increment key and the decrement key are displayed is opened, and the set value can be increased or decreased by operating the increment key and the decrement key.

  In the operation of the increment key and decrement key, the boundary weight value of the set boundary weight value number is increased or decreased by the minimum display amount by one-step operation.

  The increment key and decrement key have a registration key function, and the registered value is also changed simultaneously with the gradual increase / decrease of the set input value, and the corresponding boundary division line is moved by a small step to the left and right according to the change. For example, the movement is performed with the minimum scale weight of the measured value as one step. As a result, the display of the setting operation screen changes integrally with the key operation.

 If the time during which the increment key or decrement key is continuously ON is, for example, about 0.2 sec or longer, measurement is automatically performed until the key is turned OFF thereafter, for example, at intervals of about 0.1 sec. Increase or decrease by the weight of the minimum scale of the value. If the ON time is about 0.2 sec or less, the boundary weight value is increased or decreased by the minimum scale of the measured value for one continuous ON operation.

  FIG. 7 is a flowchart showing a display process using an increment key.

  First, it is determined whether or not the increment key is operated (step S1), and when it is operated, the weight corresponding to the minimum scale is added to the boundary weight value displayed in the setting input value display area 14 of the setting operation screen. (Step S2), the information is registered in the memory table of the storage unit 10 corresponding to the display tables T1 and T2, and the number ratio is calculated (Step S3). In step n2, when the added boundary weight value becomes equal to the heavier boundary weight value, the weight of the minimum scale is not added.

  Next, the calculated number ratio is registered in the memory table of the storage unit 10 (step S4), and the display data of the setting input value display area 14 of the setting operation screen and the display tables T1 and T2 are updated and displayed (step S5).

  Next, measurement by the timer is started (step S6), and it is determined whether or not 0.2 sec has passed (step S7). When 0.2 sec has passed, the timer measurement is reset (step S8), and the increment key is pressed. It is determined whether or not the operation has been canceled (step S9).

  In step S9, when the operation of the increment key is not released, the same series of processing P as in steps S2, S3, S4 and S5 is executed (step S10), and measurement by the timer is started (step S11). It is determined whether or not 1 sec has elapsed (step S12). When 0.1 sec has not elapsed, the process returns to step S11, and when 0.1 sec has elapsed, the process proceeds to step S8.

  Since the process by decrement key operation is the same, the description thereof is omitted. Note that each time the increment key or decrement key is pressed, the boundary weight value may be increased or decreased by the minimum graduation.

  The range of the boundary weight value that can be increased or decreased is such that the increasing direction is smaller than the upper boundary weight value by the minimum scale of the weighing value, and the decreasing direction is lower than the lower boundary weight value. The maximum value is the minimum scale of the measured value.

  When the boundary weight value is changed, the display of the boundary division line indicating the position of the boundary weight value moves, the boundary weight value display table is changed according to the movement of the boundary division line, the number ratio is recalculated, and the display is also displayed. Updated.

  The operator can change the weight rank section freely and finely while matching the weight distribution status of the article with the distribution status by weight rank according to the weight rank classification, the boundary weight value, and the number ratio. Becomes easier.

  Next, the timing for making the set boundary weight value valid for the weight selection operation will be described.

  When the setting of the boundary weight value is completed and the set value valid key 18 on the setting operation screen of FIG. 2 is operated, the weight selection based on the boundary weight value set on the setting operation screen is enabled and newly set. Sorting control based on the boundary weight value is started.

  At the timing when the set value valid key 18 is operated, the measurement value, the number of measurements, etc. stored in the storage unit 10 are reset to “0”, and a new measurement value is totaled for the next setting change. To start. In addition, the set values up to that point are stored as the previous set values.

  Here, although the measurement value use mode is selected and the graph of the probability density function of the standard normal distribution is displayed using the actual measurement value stored in the storage unit 10 of the weight sorter, the statistical value use is displayed. When the mode is selected, the average weight value and standard deviation are directly set in advance on the setting screen, and a graph of the probability density function of the standard normal distribution based on the set average weight value and standard deviation is displayed. Thus, the same setting as described above can be performed.

(A-1-2) Other Calculation Method for Number Ratio Here, another calculation method for the number ratio will be described.

  The distribution probability of the area portion surrounded by the probability density function f (u) representing the standard normal distribution and the u axis (horizontal axis) is 1.

For example, the number ratio p2 of the weight rank 2 is the area of the portion surrounded by the probability density function f (u) representing the standard normal distribution, the boundary division lines u <1> and u <2>, and the u axis.
p2 = ∫ _{u <1>} ^{u <2>} f (u) · du
Is calculated.

  As described above, the distribution probability value is calculated by changing the value of u of the probability density function f (u) representing the standard normal distribution by 0.01 sigma, for example, and using the tabulated standard normal distribution table It may be calculated.

The probability density function f (u) is a calculated value of the probability density function f (u) because the expression is complicated.
f (0) = 0.399, f (± 1) = 0.242, f (± 2) = 0.054,
f (± 3) = 0.004
Use
For the region of u ≦ −1, the quadratic function f1 (u) = a1 · u ² + b1 · u + c1 as the approximate rate density function f1 (u).
And coefficients a1, b1, and c1 are determined from f (−1) = 0.242, f (−2) = 0.054, and f (−3) = 0.004.

For the region where −1 <u <1, the quadratic function f2 (u) = a2 · u ² + b2 · u + c2 is used as the approximate probability density function f2 (u).
And coefficients a2, b2, and c2 are determined from f (± 1) = 0.242 and f (0) = 0.399.

For the region of u ≧ 1, as an approximate probability density function f3 (u), the quadratic function f3 (u) = a3 · u ² + b3 · u + c3
And coefficients a3, b3, and c3 are determined from f (1) = 0.242, f (2) = 0.504, and f (3) = 0.004.

  The number ratio may be obtained while switching the approximate probability density function according to the value of u corresponding to the set boundary weight value.

However, if the values of u for setting f1 (u) = 0 and f3 (u) = 0 are U1 and U3, respectively, the area value S surrounded by the probability density function and the u axis is the distribution probability 1, so that S = ∫ _u1 ⁻¹ f1 (u) · du + ∫− ₁ ¹ f2 (u) · du + ∫ ₁ ^u3 f3 (u) · du
To calculate the value of S, and the number ratio px of a certain weight rank is obtained by calculating the value of u on the boundary line on both sides defining the weight rank, and the approximate probability density function that differs depending on the value of u, Find the area Sx between u-axis,
px = Sx / S
And calculate.

  If there is no real u solution for f1 (u) = 0 and f3 (u) = 0, a solution satisfying df1 (u) / du = 0 is set to u = U1 and df3 (u) / du = 0. A satisfactory solution may be u = U3.

(A-1-3) Current weight distribution screen, etc. Although the boundary weight value is set as described above, it is a suitable time for performing the update setting of the boundary weight value after starting the operation operation. This embodiment is configured as follows so that the operator can easily grasp whether or not.

  That is, in this embodiment, by operating a current weight distribution screen display key (not shown) on the menu screen or the like, a certain point in time, for example, the start point of the operation operation or the previous boundary weight value From the set point of time, a new weighing value can be started, and the current weight distribution screen display key can be displayed as the current weight distribution screen. .

  The current weight distribution screen is displayed based on the actual measurement value from the certain time until the current weight distribution screen display key is operated.

  FIG. 8 is a diagram illustrating an example of the current weight distribution screen.

  As shown in FIG. 8, weighing is started from a certain point in time, and a frequency distribution histogram based on the weight value acquired up to now and a graph of a probability density function of a standard normal distribution based on the frequency distribution histogram The value is displayed as a horizontal axis with the position of the average weight value Wa as a common axis.

  Even if the graph of the probability density function of the standard normal distribution and the histogram of the frequency distribution are not superimposed on the same horizontal axis, the horizontal axis of each graph is arranged vertically on the same screen, and the average weight The position of the value axis may be displayed on a common vertical axis line.

  In this current weight distribution screen, boundary division lines L1 to L4 indicating the positions of the boundary weight values that have already been set are also displayed in correspondence with the horizontal axis. It is not displayed when the boundary weight value is not set.

  The vertical axis corresponds to the number in the frequency distribution histogram, and the distribution probability of the article in the graph of the probability density function of the standard normal distribution.

  The graph of the probability density function of the standard normal distribution is displayed in the same manner as the setting operation screen of FIG. 2 based on the measured values acquired from a certain time point to the present time.

  In this embodiment, the probability density function graph of the normal distribution based on the weight value of the article acquired at a certain time, for example, at the start of the operation operation is indicated by a broken line to the weight value acquired from a certain time to the present. It is displayed superimposed on the graph (solid line) of the probability density function of the normal distribution based on it.

  Note that the frequency distribution histogram based on the weight value of the article acquired at a certain time point may be displayed in a different color and superimposed on the histogram based on the weight value acquired from a certain time point to the present time. In this case, the vertical axis of the histogram is the same magnification.

  This current weight distribution screen shows the actual value based on the previous setting value from the previous setting of the boundary weight value to the present, as the number ratio by weight rank, the average weight value by weight rank, and by weight rank. A result value display table T3 indicating the total weight value, which is the total value of the weight values, is displayed.

  At the time when the current weight distribution screen of FIG. 8 is displayed, the number of measurement result values stored in the storage unit 10 is small, and due to the convenience of the articles at that time, the ratio of the articles of the weight values having large variations as a whole is occupied. Since it is large, the value of the standard deviation Ws is large, and the average weight value Wa is slightly moved as compared with the graph of the probability density function of the standard normal distribution indicated by the broken line at the start of the operation.

  When the operator sees the frequency distribution histogram state and the shape of the graph of the probability density function widened horizontally on the current weight distribution screen of FIG. Operate the aggregation standby key 19 displayed on the weight distribution screen to clear the current weight distribution screen, and if it is before the start of operation, further weigh the article to increase the number of items weighed, If so, wait until more items are weighed.

  When the current weight distribution screen display key on the menu screen is operated again after a certain period of time has elapsed, for example, a current weight distribution screen shown in FIG. 9 is displayed.

  This current weight distribution screen is based on the measured value acquired up to a point in time when the weighing is started from a certain point of time, for example, when the operation operation is started and the current weight distribution screen display key is operated.

  In FIG. 9, the number of weighing data stored in the storage unit 10 is large, the number of articles having a weight near the average weight value Wa ′ as a whole is large, and the standard deviation Ws ′ is a small value.

  The current weight distribution screen in FIG. 9 shows the state of the frequency distribution histogram based on the current measured value, the position and shape of the graph of the probability density function of the standard normal distribution based on the frequency distribution histogram, and at a certain time, for example, the start of operation The relationship between the position and shape of the graph of the probability density function of the standard normal distribution indicated by the broken line at the time can be grasped at a glance. It is easier to determine whether the shape of the graph of the probability density function of the normal distribution is suitable for changing the setting, and whether the timing is suitable for changing the setting compared to the certain time point. Accurate and quick response.

  Also, the current weight distribution screen is provided with a previous setting screen display ON / OFF key 21 below the current weight distribution screen. When this key 21 is operated, the current weight distribution screen at the time when the boundary weight value was previously set is displayed. When the key 21 is operated again, it is possible to return to the current weight distribution screen at the current time point.

  Therefore, the operator collects not only the judgment based on the movement amount of the average weight value and the numerical value of the standard deviation but also the graph of the probability density function of the standard normal distribution at the time of the previous setting and the current value after the previous setting. Compare the shape and position of the normal density probability density function graph based on the measured values, and change the boundary weight value according to the current (current) standard normal distribution probability density function graph. It can be determined whether or not.

  Furthermore, the graph of the probability density function of the standard normal distribution set previously and the graph of the probability density function of the standard normal distribution of this time can be overlapped and displayed, and the aggregated state of the measured values at a glance depending on the shape of each graph It may be possible to easily determine whether or not is suitable for setting change.

  In this embodiment, the current weight distribution screen display key is sometimes operated to display the current weight distribution screen at the time of operation, and the timing of setting change can be determined.

  The number of articles weighed and stored increases, the graph of the probability density function of the standard normal distribution has the shape and position as shown in FIG. 9, and the operator has a larger standard deviation than the previously set normal distribution graph. If it is determined that the setting change based on the current total value is appropriate, the setting operation screen display key 20 for calling the setting operation screen for setting the boundary weight value is operated.

  By operating the setting operation screen display key 20, the current weight distribution screen of FIG. 9 is switched to the setting operation screen as shown in FIG. 2 and the boundary weight value can be updated as described above. it can.

(A-2) When the number ratio setting mode is selected In this number ratio setting mode, a predetermined number ratio is set for each weight rank so that articles are sorted into the set number ratio. In this control mode, the boundary weight value for each weight rank is determined according to the weight distribution, and the determined boundary weight value is indirectly set.

  Return to the above menu screen and select and set the number ratio setting mode.

  FIG. 10 is a diagram illustrating an example of a setting operation screen in the number ratio setting mode. FIG. 10 shows an example of the setting operation screen when the maximum weight rank number m = 5 and the number ratio of each of the weight ranks 1 to 5 is set.

  In this setting operation screen, similarly to the above-described boundary weight value setting mode, a graph of the probability density function of the standard normal distribution based on the measured value acquired from a certain time point to the present is displayed.

  In addition, boundary division lines L1 to L4 corresponding to the positions of boundary weight values 1 to 4 determined as described later are displayed according to the number ratio of the respective weight ranks 1 to 4 set.

  Further, a number ratio display table T2 for displaying a settable weight rank number and a number ratio set value corresponding to the number is displayed, and the weight rank number ratio is determined to be a set value. A boundary weight value display table T4 displaying the boundary weight value and the number of the boundary weight value is displayed.

  In addition, boundary division lines L1 to L4 with boundary weight values 1 to 4 are also displayed.

  When the number ratio setting key 22 at the bottom of the setting operation screen is operated, the number input characters and their numbers are displayed in the set input value display area 14, and a small window (not shown) with a numeric keypad is displayed. You can open and operate the numeric keypad to set the number ratio (value less than 1).

  By operating the number ratio setting key 22, as in the case of the boundary weight value setting key 13 of FIG. 2 described above, it is possible to set the number ratio of each of the weight ranks 1 to 5, and set the number ratio. Thereafter, when the registration key 15 is operated, a set value is displayed corresponding to the weight rank number of the number ratio display table T2 on the setting operation screen, and the memory table of the storage unit 10 corresponding to the number ratio display table T2 is displayed. The number ratio is stored in. Depending on the setting of the number ratio of the weight rank, the boundary weight value for dividing the weight rank is calculated as described later so that the number ratio of articles selected in the weight rank becomes the set number ratio. And displayed on the boundary weight value table T4.

  In this embodiment, when the number ratio for each weight rank is set, the boundary weight value is determined as follows so as to satisfy the number ratio.

  That is, the conversion table shown in FIG. 11 prepared in advance is used based on the probability density function f (u) of the standard normal distribution.

  In the normal normal distribution table, the value of the above u is a numerical value of the distribution probability from 0 to u. However, in the conversion table of this embodiment, u = −∞. As shown in FIG. 4, the value is expressed from u = −4.0, and the value of u is increased by 0.01 to u = 4.0 by 0.01, for example, with 1 being the overall distribution probability. Correspond with the numerical value of the distribution probability according to the increase.

  In the standard normal distribution table shown in FIG. 6, for example, if the value of the variable Z corresponding to the value of u is −4.0, the distribution probability between u = 0 and −4.0 is 0.49997. However, in the conversion table of FIG. 11, the distribution probability between u = −∞ to −4.0 is 0.5−0.49997 = 0.0.4, as shown in u = −0.4. 00003.

In the standard normal distribution table, if the value of the variable Z corresponding to the value of u is −3.0, the distribution probability between u = 0 and −3.0 is 0.4987. In the conversion table of FIG. 11, the distribution probability between u = −∞ and −3.0 is as shown in u = −3.0,
0.5-0.4987 = 0.0013.

  Similarly, when u = 0, the distribution probability between u = −∞ to 0 is 0.5, and in the standard normal distribution table, if the value of the variable Z corresponding to the value of u is 1.0, The distribution probability between u = 0 and 1.0 is 0.3413, but in the conversion table of FIG. 11, the distribution probability between u = −∞ and 1.0 is u = 1.0. As shown, 0.5 + 0.3413 = 0.8413.

  Using the conversion table of FIG. 11, the value of u was increased from 0 by 0.01 and the distribution probability for the value of u was compared with the conversion table. First, the weight was set as weight rank 1 with a small weight. The value of u that is equal to or greater than the number ratio, or the value of u just before it, is defined as the normalized value u <1> of the boundary weight value of n = 1.

  The normalized value u <1> is converted into the normally used boundary weight value We <1> by the above equation (1), and is displayed in the boundary weight value n = 1 column of the boundary weight value display table T4. And a corresponding boundary segment line L1 is displayed.

  When the number ratio of the next weight rank 2 is set, the reference value u <2> of the boundary weight value satisfying the number ratio obtained by adding the number ratio of the weight rank 1 and the number ratio of the weight rank 2 is converted as shown in FIG. The normalized value u <2> is converted into the boundary weight value We <2> according to the above equation (1), and the boundary weight value n of the boundary weight value display table T4 is determined. = 2 and a corresponding boundary segment line L2 are displayed.

  Similarly, the boundary weight values 3 and 4 are calculated based on the conversion table of FIG. 11 according to the setting of the number ratio of the weight ranks 3 and 4.

  The probability density function representing the standard normal distribution or the approximate probability density function thereof is directly used to gradually increase the value of u to calculate the distribution probability as an integral value while satisfying the set number ratio. May be obtained.

  Also in this number ratio setting mode, as in the boundary weight value setting mode, a small window (not shown) in which the increment key and the decrement key are displayed by operating the fine adjustment key 17 on the setting operation screen of FIG. The number ratio value set by operating the increment key and the decrement key can be increased or decreased.

  The corresponding boundary weight value is recalculated according to the increase / decrease of the value of the number ratio by the operation with the increment key or the decrement key, and the boundary classification corresponding to the boundary weight value is the same as the above boundary weight value setting mode. The line moves a small step left and right.

  Accordingly, it is possible to easily grasp the correspondence between the finely adjusted number ratio, the boundary weight value, and the weight distribution for each weight rank of the article.

  In this number ratio setting mode, the current weight distribution screen as shown in FIG. 8 and FIG. 9 can be displayed and the current weight distribution at the previous setting time as in the boundary weight value setting mode. A screen can be displayed.

  Thereby, it is possible to grasp an appropriate timing for setting the number ratio.

  The set value valid key 18 and other operations are the same as those in the boundary weight value setting mode.

(A-3) When the average weight value setting mode for each weight rank is selected In this average weight value setting mode for each weight rank, a target average weight value is set for each weight rank, and articles sorted into each weight rank are selected. In this control mode, the boundary weight value for each weight rank is determined so that the set target average weight value is obtained, and the determined boundary weight value is indirectly set.

  Returning to the above menu screen, the average weight value setting mode by weight rank is selected, and the setting operation screen is displayed and set.

  FIG. 12 is a diagram illustrating an example of a setting operation screen in the average weight value setting mode by weight rank. FIG. 12 shows an example of a setting operation screen when the maximum weight rank number m = 5 and the average weight values of the respective weight ranks 1 to 5 are set.

  In this setting operation screen, similarly to the above-described boundary weight value setting mode, a graph of the probability density function of the standard normal distribution based on the measured value acquired from a certain time point to the present is displayed.

  Moreover, it corresponds to the boundary weight value 2 to 45 position determined as described later according to the position of the lower limit weight value (boundary weight value 1) and the target average weight value of each weight rank 1 to 4. Boundary division lines L1 to L5 are displayed.

  In addition, a target average weight value and number ratio display table that displays settable weight rank numbers, target average weight values for each set weight rank, and number ratios for each weight rank calculated according to the settings. T5 is displayed. Further, a boundary weight value and a normalized value display table T1 for displaying the boundary weight value determined according to the set target average weight value and the normalized value together with the number are displayed.

  In this weight rank-specific average weight value setting mode, the lower limit weight value is set as the boundary weight value 1, and the weight rank 1 is provided in a range of weight values greater than the boundary weight value 1.

  First, a lower limit weight value (boundary weight value 1) that is a lower limit of the weight rank is set. Based on the lower limit weight value, the upper boundary weight value is calculated so as to be a target average weight set according to the weight distribution of the article.

  When the lower limit weight value setting key 24 on the setting operation screen is operated, the lower limit weight value character is displayed in the setting input value display area 14 and a small window (not shown) on which the numeric keypad is displayed is opened. The numerical value of the lower limit weight value can be set and displayed in the set input value display area 14 by operating.

  When a numerical value is set as the lower limit weight value, the set value is displayed in the setting input display area 14 for the lower limit weight value. When the registration key 15 is operated, the boundary weight value 1 of the boundary weight value and number 1 in the normalized value display table T1 is displayed. The boundary weight value 1 is stored in the memory table corresponding to the display table T1 of the storage unit 10.

  The boundary weight value positioned above the lower limit weight value is calculated based on the target average weight value set for each weight rank and the distribution probability in the weight rank of the article, and is displayed in the boundary weight value and normalized value display table T1. Is displayed.

  By setting the lower limit weight value (boundary weight value 1), the boundary segment line L1 is displayed at a corresponding position on the setting operation screen. Further, the boundary weight value number 1 is displayed on the boundary division line L1.

  When the average weight value setting key 25 for each weight rank on the setting operation screen is operated, characters of the average weight value for each weight rank and its rank number are displayed in the setting input value display area 14, and a small window with a numeric keypad is displayed. (Not shown) is opened, and the numeric value of the target average weight value for each weight rank can be set and displayed in the set input value display area 14 by operating the numeric keypad.

  By operating the average weight value setting key 25 by weight rank, it is possible to set the target average weight values of the respective weight ranks 1 to 4 as in the case of the boundary weight value setting key 13 of FIG. Yes, when the registration key 15 is operated after setting the target average weight value, the set value is displayed corresponding to the average weight value of the setting operation screen and the weight rank number of the number ratio display table T5, and the table T5 The average weight value is stored in the memory table of the storage unit 10 corresponding to.

  As the average weight value of each weight rank, only a large weight value can be registered in order of the rank number of the weight rank.

  In accordance with the setting of the target average weight value of the weight rank, the boundary weight value that divides the weight rank is set so that the average weight value of the articles selected in the weight rank becomes the set target average weight value. And is displayed in the boundary weight value and normalized value table T1.

  That is, for the boundary weight value 2 that defines the upper limit of the weight rank 1, based on the probability density function of the standard normal distribution, the weight unit from the lower limit weight value (boundary weight value 1) to the minimum scale of the measured value, for example, Each time the weight is increased in units of 0.5 g, the average weight value wa at that time is calculated by the following equation (2), and the calculated average weight value wa is equal to or greater than the target average weight value set for the weight rank 1. The weight value is set to the boundary weight value 2.

wa = (p1 * w1 + p2 * w2 + p3 * w3 + ... + pn * wn) / (p1 + p2 + p3 + ... + pn) (2)
Here, p1 is a distribution probability according to the standard normal distribution table of FIG. 6 corresponding to the normalized value obtained by normalizing the lower limit weight value w1 according to the above equation (1), and p2 is a metric to the lower limit weight value w1. The distribution probability according to the standard normal distribution table corresponding to the normalized value obtained by normalizing the weight value w2 obtained by adding the weight of the minimum scale of the value by the above equation (1), and p3 is the weight value w2 The distribution probability according to the standard normal distribution table corresponding to the normalized value obtained by normalizing the weight value w3 including the weight of the minimum scale according to the above equation (1). Similarly, pn is the weight value wn−1. The distribution probability according to the standard normal distribution table corresponding to the normalized value obtained by normalizing the weight wn obtained by adding the weight of the minimum scale of the measured value according to the above (1).

  When the calculated average weight value wa is greater than or equal to the target average weight of the set weight rank 1 each time the weight unit corresponding to the minimum scale of the measured value is increased from the lower limit weight value (boundary weight value 1). The weight value is the boundary weight value 2.

  Next, the boundary weight value 3 that defines the upper limit of the weight rank 2 is obtained by changing the average weight value wa at the above time (2) every time the weight is increased from the boundary weight value 2 by the weight unit corresponding to the minimum scale of the measurement value. In the formula, w1 is the boundary weight value 2, w2 is the weight value obtained by adding the weight of the minimum scale of the measured value to w1, w3 is the weight value of the weight of the minimum scale of the measured value added, and Similarly, wn is calculated as a weight obtained by adding the weight of the minimum scale of the measured value to the weight value wn−1, and when the weight value becomes equal to or higher than the target average weight value of the weight rank 2, the weight value is calculated as the boundary weight value. 3 and so on.

  Thereafter, the boundary weight values 4 and 5 are similarly calculated according to the set target average weight values of the weight ranks 3 and 4.

  At the same time, boundary division lines L2 to L5 indicating the positions of the calculated boundary weight values 2 to 5 and their numbers are displayed on the setting operation screen.

 When the boundary weight value is calculated as described above and each weight rank section is determined, the number ratio of articles in the weight section of the determined weight rank is calculated in the same manner as in the above boundary weight value setting mode, and the target average is calculated. The weight value and number ratio display table T5 is displayed.

  In this average weight value setting mode by weight rank, as in the case of the boundary weight value setting mode, a small window (increment key and decrement key is displayed by operating the fine adjustment key 17 on the setting operation screen of FIG. (Not shown) can be opened and the target average weight value set by operating the increment key and the decrement key can be increased or decreased.

  The corresponding boundary weight value is recalculated in accordance with the change in the target average weight value due to the operation with this increment key or decrement key, and the boundary classification corresponding to the boundary weight value is the same as in the above boundary weight value setting mode. The line moves a small step left and right.

  Thereby, it is possible to easily grasp the correspondence relationship between the target average weight value and the boundary weight value to be finely adjusted and the weight distribution for each weight rank of the article.

  In the average weight value setting mode by weight rank, the current weight distribution screen as shown in FIG. 8 and FIG. 9 can be displayed as in the boundary weight value setting mode. It is possible to display the current weight distribution screen.

  Thereby, it is possible to grasp an appropriate timing for setting the average weight value for each weight rank.

  The set value valid key 18 and other operations are the same as those in the boundary weight value setting mode.

(B) [Frequency distribution mode]
Next, a case where the frequency distribution mode is selected instead of the normal distribution mode will be described. As described above, the control mode and the frequency distribution mode are selected by operating the touch key displayed on the menu screen.

(B-1) When the boundary weight value setting mode is selected (B-1-1) Setting on the setting operation screen In this boundary weight value setting mode, the weight is set by setting the boundary weight value as described above. This is a control mode in which classification by rank is determined, and the number ratio by weight rank is calculated and displayed according to the weight distribution of the article.

  FIG. 13 is a diagram illustrating an example of a setting operation screen for setting the boundary weight value in the boundary weight value setting mode.

  In the setting operation screen of this boundary weight value setting mode, as a graph showing the state of the weight distribution of the article, the frequency based on the weight value of the article measured up to now, starting weighing at a certain time, for example, the start of operation A distribution histogram is displayed, and a frequency distribution histogram based on the weight value of the article acquired at a certain time is displayed, for example, with different colors.

  Note that FIG. 13 shows only a frequency distribution histogram based on the measured value of the article measured up to now, starting weighing from a certain point. The horizontal axis of the frequency distribution histogram is the weight of the article, and the vertical axis is the number of articles.

  FIG. 13 shows an example of the setting operation screen when the maximum weight rank number m = 5 and the boundary weight values n = 1 to 4 are set.

  In this setting operation screen, a boundary weight value display table T4 displaying a settable boundary weight value number and a setting value column corresponding to the number is displayed, and the weight rank and the number corresponding to the weight rank are displayed. A number ratio display table T2 for displaying the ratio is displayed.

  The operator sets the boundary weight values We <1>, We <2>,...

  First, when the boundary weight value setting key 13 is operated on the setting operation screen of FIG. 13, the boundary weight value character and its number 1 are displayed in the set input value display area 14 and a small window on which the numeric keypad is displayed. (Not shown) opens, and the numeric value can be set by operating the numeric keypad. That is, the smallest leftmost boundary weight value 1 can be set as the first boundary weight value.

  When a numerical value is set as the boundary weight value, the setting value is displayed in the setting input value display area 14 for the boundary weight value, and when the registration key 15 is operated, the setting value is displayed in the boundary weight value display table T4 provided on the setting operation screen. Then, the boundary weight value is stored in the memory table corresponding to the boundary weight value display table T4 of the storage unit 10.

  In addition, a boundary segment line L1 is displayed at a position on the horizontal axis corresponding to the boundary weight value set in the boundary weight value display table T4, and at the same time, the boundary value number n = 1 and weight rank numbers 1, 1 on both sides of the boundary line. 2 is displayed. Thereafter, the boundary weight values 2, 3, and 4 are set in the same manner.

  The weight rank is classified by setting the boundary weight value, and the number ratio of articles belonging to the classified weight rank is calculated as follows.

  That is, the number C of all articles weighed in advance is counted. The number ratio cx of the weight ranks divided by the set boundary weight values is calculated by the following formula by counting the number Cx of articles of each weight value belonging between the boundary weight values on both sides defining the weight rank. To do.

cx = Cx / C
Also in the boundary weight value setting mode of the frequency distribution mode, the increment key and the decrement key are displayed by operating the fine adjustment key 17 on the setting operation screen of FIG. 13 as in the boundary weight value setting mode of the normal distribution mode. The boundary weight value set by opening the small window (not shown) and operating the increment key and the decrement key can be increased or decreased.

  In accordance with the increase / decrease of the boundary weight value by the operation with the increment key or the decrement key, the corresponding boundary segment line moves to the left and right by a minute step, for example, the weight of the minimum scale.

  Thereby, it is possible to easily grasp the correspondence between the finely adjusted boundary weight value and the weight distribution for each weight rank of the article.

(B-1-2) Current weight distribution screen etc. Even in this frequency distribution mode, the operator can easily determine whether or not it is a time suitable for updating the boundary weight value. In addition, by operating a current weight distribution screen display key (not shown) on the above menu screen or the like, the measurement is started from a certain point of time, for example, from the start point of the operation operation, and is obtained up to now. Using the measured value, for example, a histogram of frequency distribution shown in FIG. 14 is displayed as a current weight distribution screen. The screen displays a numerical value of the average weight value and a vertical axis line indicating the position of the average weight value on the horizontal axis corresponding to the weight value. In addition, boundary division lines L1 to L4 based on the set boundary weight values are also displayed in correspondence with the horizontal axis.

  At the same time, as the actual numerical values up to the present based on the previous set value, the number ratio by weight rank, the average weight value by weight rank, and the actual value table T3 of the total weight value by weight rank are displayed. In FIG. 14, the previously set frequency distribution histogram is omitted.

  When the current weight distribution screen of FIG. 14 is displayed, when the number of pieces of measurement data stored in the storage unit 10 is small and the operator views the frequency distribution histogram and determines that it is not time to update the set value, The total weight key 19 on the current weight distribution screen is operated to clear the current weight distribution screen, and if it is before the start of the operation operation, further increase the number of items to be weighed by trial weighing of the article or during the operation operation. If so, wait until more items are weighed.

  When the current weight distribution screen display key on the menu screen is operated again after a certain period has elapsed, for example, a current weight distribution screen shown in FIG. 15 is displayed.

  In FIG. 15, if the number of weighing data stored in the storage unit 10 is large, the number of articles having a weight near the average weight value as a whole is large, and the operator determines that the setting change is appropriate, The setting operation screen display key 20 for calling the above setting operation screen for setting the boundary weight value is operated.

  By operating the setting operation screen display key 20, the current weight distribution screen of FIG. 15 is switched to the setting operation screen as shown in FIG. 13 and the boundary weight value can be updated as described above. it can.

(B-2) When the Number Ratio Setting Mode is Selected As shown in FIG. 16, the setting operation screen of the number ratio setting mode has a frequency distribution histogram based on the actual measurement value as in the boundary weight value setting mode. Is displayed.

  A weight ratio display table T2 that displays settable weight rank numbers and number ratio set values corresponding to the numbers is displayed, and a boundary weight value that is determined so that the weight rank number ratio becomes a set value. And a boundary weight value display table T4 for displaying the boundary weight value number.

  In addition, boundary division lines L1 to L4 indicating the positions of the boundary weight values are also displayed.

  By operating the number ratio setting key 22 on the setting operation screen, it is possible to set the number ratio of the respective weight ranks 1 to 5 as in the case of the boundary weight value setting key 13 of FIG. When the registration key 15 is operated after the number ratio is set, the set value is displayed corresponding to the weight rank number of the number ratio display table T2 provided on the setting operation screen, and the number ratio display table T2 is supported. The number ratio is stored in the memory table of the storage unit 10. In accordance with the setting of the weight ratio, the boundary weight value that divides the weight rank is set as follows so that the number ratio of articles selected in the weight rank becomes the set number ratio. It is calculated and displayed on the boundary weight value table T4.

  That is, each time the weight is increased from the minimum value of the measurement value to the weight unit of the minimum scale of the measurement value, for example, in units of 0.5 g, the number Cx of articles belonging to the weight range is counted. The number ratio cx is calculated by dividing by the number C of all articles counted in advance, and the weight value at which the number ratio cx is equal to or greater than the number ratio set for the weight rank 1 is defined as the boundary weight value 1.

  After the boundary weight value 1 is determined, every time the weight is increased from the boundary weight value 1 by the weight unit of the minimum scale of the measurement value, the number Cx of articles belonging to the weight range is counted, and the counted Cx Is divided by the number C of all articles weighed in advance to calculate the number ratio cx. The weight value at which the number ratio cx is equal to or greater than the number ratio set for the weight rank 2 is defined as the boundary weight value 2.

  In the same manner, the boundary weight values 3 and 4 are determined so that the number ratios set for the weight ranks 3 and 4 are the same.

  In this number ratio setting mode, similarly to the boundary weight value setting mode, a small window (not shown) in which the increment key and the decrement key are displayed by operating the fine adjustment key 17 on the setting operation screen of FIG. The number ratio value set by operating the increment key and the decrement key can be increased or decreased.

  The corresponding boundary weight value is recalculated according to the increase / decrease of the value of the number ratio by the operation with the increment key or the decrement key, and the boundary classification corresponding to the boundary weight value is the same as the above boundary weight value setting mode. The line moves left and right by small steps, for example, 0.1 (%).

  Accordingly, it is possible to easily grasp the correspondence between the finely adjusted number ratio, the boundary weight value, and the weight distribution for each weight rank of the article.

  Also in this number ratio setting mode, the current weight distribution screen as shown in FIGS. 14 and 15 can be displayed and the current weight distribution at the previous setting time as in the boundary weight value setting mode. A screen can be displayed.

  Thereby, it is possible to grasp an appropriate timing for setting the number ratio.

  The set value valid key 18 and other operations are the same as those in the boundary weight value setting mode.

(B-3) When the average weight value setting mode by weight rank is selected In the average weight value setting mode by weight rank, the frequency distribution histogram is displayed on the setting operation screen as shown in FIG. Is done.

  Further, the boundary division line L1 corresponding to the boundary weight values 2 to 5 determined as described later according to the set lower limit weight value (boundary weight value 1) and the average weight value of each of the weight ranks 1 to 4. ~ L5 is displayed.

  Further, a settable weight rank number, a set target average weight value for each weight rank, and a target average weight value and number ratio display table T5 for displaying the number ratio for each weight rank calculated according to the setting. Is displayed. Further, a boundary weight value display table T4 that displays the boundary weight value calculated according to the set target average weight value and the normalized value together with the number is displayed.

  In this weight rank-specific average weight value setting mode, the lower limit weight value is set as the boundary weight value 1, and the weight rank 1 is provided in a range of weight values greater than the boundary weight value 1.

  First, a lower limit weight value (boundary weight value 1) that is a lower limit of the weight rank is set. Based on this lower limit weight value, the upper boundary weight value is calculated so as to be the target average weight according to the weight distribution of the article.

  When the lower limit weight value setting key 24 on the setting operation screen is operated, the lower limit weight value character is displayed in the setting input value display area 14, and a small window (not shown) on which the numeric keypad is displayed is opened. The numerical value of the lower limit weight value can be set and displayed in the set input value display area 14 by operating.

 When a numerical value is set as the lower limit weight value, the set value is displayed in the setting input display area 14 for the lower limit weight value, and when the registration key 15 is operated, it is displayed as the boundary weight value of No. 1 in the boundary weight value display table T4 and stored. The boundary weight value is stored in a memory table corresponding to the display table T4 of the unit 10.

  A boundary segment line L1 indicating the lower limit weight value (boundary weight value 1) is displayed on the setting operation screen. Further, the boundary weight value number 1 is displayed on the boundary division line L1.

  When the average weight value setting key 25 for each weight rank on the setting operation screen is operated, characters of the average weight value for each weight rank and its rank number are displayed in the setting input value display area 14, and the small number displayed on the numeric keypad is displayed. A window (not shown) is opened, and the numerical value of the average weight value for each weight rank can be set and displayed in the set input value display area 14 by operating the numeric keypad.

  By operating the average weight value setting key 25 by weight rank, it is possible to set the target average weight values of the respective weight ranks 1 to 4 as in the case of the boundary weight value setting key 13 of FIG. Yes, when the registration key 15 is operated after setting the target average weight value, the set value is displayed corresponding to the average weight value of the setting operation screen and the weight rank number of the number ratio display table T5, and the table T5 The average weight value is stored in the memory table of the storage unit 10 corresponding to.

  As the average weight value of each weight rank, only a large weight value can be registered in order of the rank number of the weight rank.

  Depending on the setting of the average weight value of the weight rank, the boundary weight value that divides the weight rank is set so that the average weight value of the articles selected in the weight rank becomes the set average weight value. And is displayed in the boundary weight value display table T4.

  The boundary weight value 2 that defines the upper limit of the weight rank 1 is calculated each time the weight value is increased from the lower limit weight value (boundary weight value 1) in the weight unit of the minimum scale of the measurement value based on the frequency distribution histogram. The average weight value wa is calculated by the following equation (3), and when the calculated average weight value wa is equal to or higher than the target average weight value of the weight rank 1, the weight value is set as the boundary weight value 2. is there.

For example, the average weight value wa is
wa = (c1 × w1 + c2 × w2 + c3 × w3 +... + cn × wn) / (c1 + c2 + c3 +... + cn) (3)
c1 is the number of articles belonging to a weight range from the lower limit weight value w1 to the lower limit weight value w1 less than the weight value w2 obtained by adding the weight of the minimum scale of the measurement value, and c2 is the weight value w2. The number of articles belonging to a weight range up to a weight value w3 less than the weight value w3 obtained by adding the weight of the minimum scale value of the measurement value to the weight value w2, and c3 is the minimum scale value of the measurement value from the weight value w3 to the weight value w3 Is the number of articles belonging to the weight range up to a weight value less than w4, and similarly, cn is a weight value obtained by adding the weight of the minimum scale of the measured value from the weight value wn to the weight value wn. The number of articles belonging to a weight range of less than wn + 1.

  When the average weight wa calculated each time the weight value is increased from the lower limit weight value (boundary weight value 1) in the weight unit of the minimum scale of the measured value is equal to or more than the target average weight of the set weight rank 1 The weight value is the boundary weight value 2.

  Next, the boundary weight value 3 that defines the upper limit of the weight rank 2 is the above-mentioned average weight value wa (3) each time the weight is increased from the boundary weight value 2 in the weight unit of the minimum scale of the measured value. In the formula, w1 is the boundary weight value 2, w2 is the weight value obtained by adding the weight of the minimum scale of the measured value to w1, w3 is the weight value of the weight of the minimum scale of the measured value added, and Similarly, wn is calculated as the weight obtained by adding the weight of the minimum scale of the measurement value to the weight value wn, and when the calculated average weight value is equal to or higher than the target average weight value of the weight rank 2, the weight is calculated. The value is the boundary weight value 3.

  Thereafter, the boundary weight values 4 and 5 are similarly calculated according to the set target average weight values of the weight ranks 3 and 4.

  At the same time, boundary division lines L2 to L5 indicating the calculated boundary weight values 2 to 5 and their numbers are displayed on the setting operation screen.

  When the boundary weight value is calculated as described above and each weight rank section is determined, the number ratio of articles in the weight section of the determined weight rank is calculated in the same manner as in the above boundary weight value setting mode, and the target average is calculated. The weight value and number ratio display table T5 is displayed.

  Also in this average weight value setting mode by weight rank, as in the boundary weight value setting mode, a small window (increment key and decrement key is displayed by operating the fine adjustment key 17 on the setting operation screen of FIG. (Not shown) can be opened and the target average weight value set by operating the increment key and the decrement key can be increased or decreased.

  The corresponding boundary weight value is recalculated in accordance with the change in the target average weight value due to the operation with this increment key or decrement key, and the boundary classification corresponding to the boundary weight value is the same as in the above boundary weight value setting mode. The line moves left and right by a minute step, for example, the weight of the smallest scale.

  Thereby, it is possible to easily grasp the correspondence relationship between the target average weight value and the boundary weight value to be finely adjusted and the weight distribution for each weight rank of the article.

  In the average weight value setting mode by weight rank, the current weight distribution screen as shown in FIG. 14 and FIG. 15 can be displayed as in the boundary weight value setting mode. It is possible to display the current weight distribution screen.

  Thereby, it is possible to grasp an appropriate timing for setting the average weight value for each weight rank.

  The set value valid key 18 and other operations are the same as those in the boundary weight value setting mode.

  As described above, according to the present embodiment, on the setting operation screen, a normal normal distribution graph or frequency distribution histogram indicating the weight distribution state of an article, and a boundary division line indicating the position of the set boundary weight value are displayed. The display shows how the position of the boundary weight value with respect to the weight distribution of the article changes depending on the settings such as the boundary weight value and the number ratio, and how the distribution state and number ratio in the weight range of each weight rank change. Whether or not to do so can be directly grasped visually, whereby the boundary weight value can be set appropriately and easily according to the weight distribution state of the article.

  Furthermore, by displaying the current weight distribution screen at different time points, it is possible to visually recognize how the standard normal distribution graph indicating the state of the weight distribution of the article and the frequency distribution histogram have changed, for example, Thus, it is possible to grasp the change in the weight distribution of the article due to the change of the lot of the article, and to quickly set the boundary weight value or the like according to the change.

  Further, since the set value such as the boundary weight value can be corrected by increasing / decreasing the minute step amount by the increment key and the decrement key, accurate setting can be performed promptly.

  The setting operation screen, the current weight distribution screen, and the like of the above embodiment are examples, and the position of the boundary weight value is not limited to the display by the boundary division line that linearly crosses the horizontal axis corresponding to the weight value. A mark such as an arrow may be displayed at a position corresponding to the boundary weight value on the horizontal axis or at a position corresponding to the boundary weight value of the graph indicating the state of the weight distribution of the article. Alternatively, the position corresponding to the boundary weight value of the graph indicating the weight distribution state of the article may be displayed in a different color as a boundary.

  Of course, the arrangement and contents of the tables and operation keys displayed in the setting operation screen and the current weight distribution screen, the operation procedure, and the like are not limited to the above embodiment.

2 Weighing conveyor 4 Sorting device 9 CPU
DESCRIPTION OF SYMBOLS 10 Memory | storage part 11 Operation setting indicator 13 Boundary weight value setting key 17 Fine adjustment key 20 Setting operation screen display key 22 Piece ratio setting key 25 Average weight value setting key according to weight rank

Claims (9)

A weighing device for weighing an article,
A graph showing the state of the weight distribution of the article, and display means for displaying the position of the boundary weight value for dividing the weight distribution into a plurality of weight ranks on the same screen;
Setting means for setting the boundary weight value;
A weighing apparatus comprising: The setting means includes a setting unit in which the boundary weight value is directly set.
The weighing device according to claim 1. The setting means is configured such that the boundary weight value is indirectly set, and a setting unit that sets the number ratio of the articles for each of the plurality of weight ranks, and according to the setting of the number ratio, A boundary weight value determining unit that determines the corresponding boundary weight value and sets the determined boundary weight value as a set value;
The weighing device according to claim 1 or 2. The setting means is configured such that the boundary weight value is indirectly set, and a setting unit that sets an average weight value of the articles for each of the plurality of weight ranks, and according to the setting of the average weight value And determining the corresponding boundary weight value, and including a boundary weight value determining unit having the determined boundary weight value as a set value,
The weighing device according to any one of claims 1 to 3. The setting unit includes an increase / decrease key that is operated to increase / decrease the set value by a certain value.
The display means moves and displays the position of the boundary weight value changed and set in the setting means according to the operation of the increase / decrease key with respect to the graph indicating the state of the weight distribution of the article.
The weighing device according to claim 2. The graph showing the state of the weight distribution of the article is a graph of a normal distribution and a graph of at least one of a frequency distribution histogram,
The weighing device according to claim 1. The at least one graph is based on a weighed value of the item weighed.
The weighing device according to claim 6. The display means displays the at least one graph based on the measurement value of the article acquired up to a plurality of different time points on the same screen,
The weighing device according to claim 7. The weighing device sorts the weighed articles into weight ranks divided by the set boundary weight values;
A weighing device according to any one of claims 1 to 8.

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