JP2000065607A - Apparatus for monitoring normal operation of chicken egg physical characteristic-detecting apparatus - Google Patents

Abstract

PROBLEM TO BE SOLVED: To estimate whether or not an apparatus operates normally by detecting whether or not judge information detected by a physical characteristic-detecting apparatus is a predetermined state. SOLUTION: Individual eggs to be sorted are weighed immediately before moved to a transfer conveyor from a feed conveyor, and measurement data are transmitted to a comparator 1. The comparator 1 judges beforehand sizes of chicken eggs, e.g. L, M, S in accordance with egg weights by a boundary egg weight-setting device 2 and transmits signals to a sorting apparatus control unit 3. Egg weight data measured by each weighing device W1, W2, W3 are stored in memories 1, 2, 3 of a judging apparatus 12. Egg weights and reference distribution data of the egg weights are input and stored in the judging apparatus 12 for every age in day and every kind of chickens. The apparatus 12 compares the egg weight distribution data with egg weight standard data of the age. When the data coincides with the standard data, the weighing devices highly probably operate normally. It is rational in this case to judge the weighing devices operate normally. When the egg weight distribution data does not coincide with the standard data in an allowance of a constant range, the weighing devices are judged to be abnormal.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a normal operation monitoring device for a physical characteristic detecting device of a chicken egg, and more particularly to a normal operation monitoring device for a weighing device, a cracked egg detecting device, and a blood egg detecting device. .

[0002]

2. Description of the Related Art For example, in order to sort chicken eggs into LL, L, M, MS, S, SS and nonstandard weights, which are one of the physical characteristics, it is necessary to detect the weight. In the conventional device, the comparator compares the individual egg weight data obtained from the weighing device with the boundary value setting of the boundary egg weight setting device to determine the size, and distributes and transports each size to a predetermined gathering place. there were. The monitoring of the data from the weighing device is such that when the comparator receives egg weight data that does not exist as a chicken egg, for example, 1 kg, an error signal is output instead of a size signal.

[0003]

In this case, even if there is an abnormality in the measuring instrument and the egg weight is weighed 2 g heavier than the legal value, as described above, the egg weight is such that the egg weight does not exist as a chicken egg. Unless it is received as data, the measuring instrument is not determined to be abnormal.

[0004] The present invention has been made in view of such a situation, and an object thereof is to provide a normal operation for easily estimating whether or not a physical characteristic detecting device is normally operating. A monitoring device is provided.

[0005]

SUMMARY OF THE INVENTION A normal operation monitoring apparatus for a physical characteristic detecting apparatus for a chicken egg according to the present invention is a normal operation monitoring apparatus for a physical characteristic detecting apparatus for a chicken egg used in a chicken egg sorting apparatus. Determining whether or not the information detected by the physical feature detection device or the determination information obtained by determining the information indicates a predetermined state, based on whether the operation of the physical feature detection device is normal or abnormal, And a judgment result output means for outputting the judgment result of the judgment means.

Further, the normal operation monitoring device of the egg physical characteristic detecting device according to the present invention is a normal operation monitoring of the egg physical characteristic detecting device for detecting the physical characteristics of the egg transported in a multi-row horizontal order. A storage unit for storing information detected by the physical feature detection device or determination information obtained by determining the information, and information groups of each column stored in the storage unit or each group of information. The apparatus further comprises a judging means for comparing the judgment information groups with each other to monitor the normal or abnormal operation of the physical characteristic detecting device, and a judgment result output means for outputting the judgment result of the judging means.

[0007] The judging means is a numerical value such as an average value and a standard deviation of the judgment information group of each column obtained by judging the information group of each column or the information of each column detected by the physical characteristic detecting device for a predetermined period. Are configured to be compared.

[0008] The judgment result information output by the judgment result output means is configured to include a probability of abnormality.

According to the present invention, in the normal operation monitoring device for the physical characteristic detecting device for chicken eggs, the physical characteristic detecting device is a weighing device.

Further, the present invention is the normal operation monitoring device for a physical characteristic detecting device for a chicken egg, wherein the physical characteristic detecting device is a cracked egg detecting device for detecting cracks in the chicken egg.

Further, in the present invention, in the normal operation monitoring device of the physical characteristic detecting device for a chicken egg, the physical characteristic detecting device is a blood egg detecting device for detecting a blood mixed egg.

[0012]

DESCRIPTION OF THE PREFERRED EMBODIMENTS FIG. 1 is a control block diagram of an embodiment in which the present invention is applied to a chicken egg weight sorting apparatus A. Individual sorted eggs are weighed with a weighing machine just before the transfer from the supply conveyor to the transfer conveyor. There is a weighing device for each row of eggs on the supply conveyor. In this example, there are three rows of eggs, and the weighing devices are W1, W2, and W3 in this order. W1 is responsible for the egg row 1, W2 is responsible for the egg row 2, and W3 is responsible for the egg row 3. The weight data of the eggs in the egg row 1 measured by the scale W1 is transmitted to the comparator 1. The comparator 1 has a large (L) value previously set according to the egg weight by the boundary egg weight setting device 2,
The egg size such as medium (M) and small (S) is determined, and the size signal is transmitted to the sorting device control unit 3. Since the above is generally known as a chicken egg weight sorting apparatus, the description of this portion will be limited to this level.

Next, the weight data of each egg weighed by each weighing machine W1, W2, W3 is inputted to the memories 1, 2, 3 of the judging device 12 and stored.

Further, the standard distribution data of the egg weight of the chicken is previously stored in the judging device 12 by the age of the chicken (for example, 200 days old, 3 days old).
00 days old) and chicken species (for example, Nagoya Cochin). In general, it is known that the center value (central egg weight) of the egg weight of laying eggs changes little by little depending on the age of the chicken. FIG. 2 is a standard distribution data table of the egg weight of a 300-day-old chicken. According to the table, the L size is the largest in the judgment by size, and the center egg weight is 65.5 g.
(However, strictly speaking, it slightly differs depending on the chicken species).

The selected egg information input device 11 determines that the selected egg is a 300-day-old laid egg.
Instruct 2

In response, the determination device 12 compares the egg weight distribution data of each egg row stored in the memories 1, 2, and 3 with the standard distribution data of the 300-day-old egg weight.
That is, if the distribution data of the egg weight of the chicken egg row 1 sequentially measured by the measuring device W1 matches the standard distribution data of the 300-day-old egg weight, the probability that the measuring device W1 is operating normally is extremely high. In such a case, it is reasonable to determine that the meter w1 is operating normally. However, it is desirable to provide a certain tolerance in determining the sign of data. On the other hand, if the distribution data of the egg weight of the chicken egg row 2 sequentially measured by the measuring device W2 does not coincide with the standard distribution data of the 300-day-old egg weight within a certain tolerance, the measuring device may be used. The probability that W2 is abnormal is high. Therefore, in such a case, it is presumed that there is an abnormality in the measuring device W2.

In the above case, the standard distribution data of the egg weight is input in advance as the reference data for the comparison of the abnormality judgment of each measuring instrument. Egg weight distribution data on the day before the sorted eggs (eg, chicken eggs in the same poultry house) may be used as reference data for comparison.

Further, in the weight sorting apparatus of FIG. 1, the determining device 12 estimates that if the weight signal of the same numerical value or an approximate numerical value is continuously transmitted from the measuring device W1, there is an abnormality in the measuring device W1. It may be. For example, as a result of measuring the egg weight, assuming that the average value is 63 g and the standard deviation is 12 g, the probability that the egg weight X arbitrarily taken out falls within the following range is based on the normal distribution of the egg weight distribution of the egg. Assuming that That is, 61.8 ≦ X ≦ 6
The probability of entering 4.2 is m = 63 and σ = 12.
8 = m−0.1σ, 64.2 = m + 0.1σ, and the probability is 0.0796. Therefore, the probability that an egg having an egg weight in these ranges passes twice on the measuring instrument twice in succession is 6.34 × 10−3, and the probability of passing three times in succession is 5. 04 × 10−4. In addition, 4
The probability of passing continuously is 4.01 × 10−5.
Therefore, when the occurrence probability is extremely low, it is more reasonable to guess that there is an abnormality in the measuring device that has detected the underlying numerical value. .

If the judging device 12 estimates that the measuring device W1 is abnormal, the judgment data is displayed on the screen of the display 13. At this time, it may simply be displayed as "the measuring device W1 has failed"
“Probability of failure ○%” may be displayed. In addition, the percentages are classified in advance, and “large trouble”, “during trouble”, “small trouble”
May be displayed on the screen.

In the event of a "trouble", the determination device 12 may issue an emergency stop electric signal 21 to the selection device control unit 3 in addition to the notification by the display device 13.

Further, the abnormality of the weighing device W1 may be displayed by issuing an alarm buzzer for notifying the abnormality or lighting or blinking a lamp indicating the abnormality.

As another embodiment, it is conceivable to compare the numerical values such as the average value and the standard deviation of the egg weight of the hen eggs sequentially stored for each measuring device, and to estimate the abnormality of each measuring device.
For example, because the scales inspect the same group of eggs at a certain time (eg, 300-day-old eggs), by comparing the average value of the egg weight of the egg row of each scale, It is possible to estimate the abnormality of each measuring instrument. The average value of the egg weight of each chicken egg row should become closer as the number of eggs measured in each chicken egg row increases, and a measuring instrument whose average value is not relatively close, for example, a measuring instrument W3 If so, the probability that an abnormality exists in the measuring device W3 is considerably high.
Thus, it is also possible to estimate the abnormality of the measuring device by relatively comparing the average values of the measuring devices. However, the scale W
It cannot be denied that an abnormality may have occurred in the weighing devices W1 and W2 whose average values are close to each other, not in the case of 3. Therefore, in order to perform monitoring with higher accuracy, the selected egg information input device 11 gives information on the selected egg, for example, information that the egg is a 300 day old chicken egg of Nagoya Cochin. The numerical value of the average value of the measuring device W3 is 300 for Nagoya Cochin.
When the average value of the standard egg weight of a day-old chicken egg is close to the average value, the probability that an abnormality is found not in the scale W3 but in the scales W1 and W2 is considerably increased. Therefore, in such a case, the measuring device W3
Instead of inferring that only one of the weighing devices W1 and W2 is abnormal, for example, "the probability that the weighing devices W1 and W2 are abnormal 60%, the probability that the weighing device W3 is abnormal 3
It is reasonable to display in the form of "0%".

So far, the present invention has been described in the embodiment of weight selection by a weighing machine. Hereinafter, the present invention will be further described in an embodiment in which the present invention is applied to a cracked egg detecting apparatus.

FIG. 3 is a control block diagram of an embodiment in which the present invention is applied to a crack egg detecting apparatus B. The degree of cracking of each sorted egg is detected by a crack degree detector. Crack degree detectors exist for each egg row of the supply conveyor, and C1 and C
2, C3. C1 is egg row 1 and C2 is egg row 2
And C3 is in charge of the egg row 3 respectively. The degree of crack is classified in advance from rank 0 to rank 10 according to the degree. Rank 0 is one in which no crack can be recognized, and thereafter, the degree of crack increases as the rank increases by one,
Rank 10 has cracks on the entire surface, and as a result, unevenness exists on the entire surface.

The data of the degree of cracking of the eggs in each egg row sequentially detected by the detectors C1, C2 and C3 are determined by the determination device 1.
5 are stored in the memories 1, 2, and 3.

The good / bad boundary value setting unit 5
A certain rank is selected and set arbitrarily from the crack ranks 0 to 10. Thereby, a range of a so-called normal egg and a range of a so-called cracked egg are set. For example, good
When rank 4 is arbitrarily selected and set by the defective boundary value setting device 5, ranks 0 to 4 are ranges to be processed as normal eggs, while ranks 5 to 10 are so-called ranges. This is the range that should be treated as a cracked egg. The crack degree data of the eggs in the egg row 1 detected by the crack degree detector C1 is transmitted to the comparator 4.
The comparator 4 compares the crack degree rank arbitrarily selected in advance by the good / bad boundary value setting unit 5 with the crack degree signal from the crack degree detector, and determines that each of the selected eggs is a so-called normal egg. Or a so-called cracked egg, and transmits a determination signal to the sorting device control unit 6. The above is generally known as a crack egg detection device B.

FIG. 4 is a standard distribution table of the degree of cracking of the selected eggs based on the statistical analysis of the experimental results (however, strictly speaking, it differs somewhat depending on the age of the chicken). The standard distribution table of the degree of crack is input to the determination device 15 in advance.

The selected egg information input device 14 transmits the age information and the like of the selected egg to the determination device 15. In response to this, the determination device 15 compares and compares the degree of crack data of each egg row, which is sequentially detected, transmitted, and stored by each detector, with the standard distribution data of the degree of crack previously input. Then, an abnormality of each crack degree detector is estimated.

The above is for comparing and contrasting the distribution data of the degree of cracking of each egg row with the standard distribution data.
Instead of these comparisons, the good / bad boundary value setting device 5 may select and set an arbitrary crack degree rank and compare and compare only the incidence of cracked eggs recognized. For example, when the crack degree rank 4 is arbitrarily selected and set by the good / bad boundary value setting device 5, a standard crack occurrence rate of 5.67% is calculated from the standard distribution data of the crack degree. On the other hand, the so-called crack egg occurrence rate Y, which is recognized by setting a crack degree rank from the crack degree distribution data of the crack degree detector C1.
Is calculated. If the latter occurrence rate Y coincides with the standard occurrence rate of cracks of the standard distribution data of 5.67% within a certain tolerance, it is assumed that there is no abnormality in the crack degree detector C1. You. On the other hand, if the numerical values of the occurrence rates of the two do not coincide with each other within a certain tolerance, it is assumed that the crack degree detector C1 has an abnormality.

In the determination device 15 of FIG. 3, instead of or in combination with the standard distribution data of the degree of cracking, the data of the degree of cracking distribution of the same selected egg on the previous day may be used as a reference for comparison. Good.

Further, when a so-called cracked egg which is recognized by arbitrarily selecting and setting a certain cracking degree rank occurs in the chicken egg row of a specific cracking degree detector, the judging device 15 determines the cracking degree. It may be assumed that there is an abnormality in the detector.

If the judging device 15 estimates that the crack degree detector C1 is abnormal, the judgment data is displayed on the display 16 on the screen. At this time, it may be simply displayed as “the crack degree detector C1 has a failure” or may be displayed as “failure probability ○%”. Alternatively, the percentages may be ranked in advance, and the screen may be displayed as "large trouble", "during trouble", and "small trouble" in descending order of the probability of failure.

In the case of "large trouble", the judging device 15 may issue an emergency stop electric signal 21 to the sorting device control unit 6 in addition to notifying by the display 16.

Further, the abnormality of the crack degree detector C1 may be displayed by issuing an alarm buzzer for notifying the abnormality or lighting or blinking a lamp indicating the abnormality.

Finally, a case where the present invention is applied to a blood egg detecting apparatus C for detecting blood mixed eggs will be described.

FIG. 5 is a control block diagram of an embodiment in which the present invention is applied to a blood egg detecting apparatus C. The blood mixing degree of the chicken egg is determined in advance according to the amount of blood mixed in the chicken egg, and the blood mixing degree is classified from rank 0 to rank 10. In rank 0, blood cannot be recognized at all, and thereafter, the amount of blood mixed in increases by one rank, and in rank 10, blood is mixed in the entire surface. The blood contamination degree of each sorted egg is detected by a blood contamination degree detector. The blood contamination degree detector detects the iron content in the blood using a spectroscope to determine the blood contamination degree. The blood contamination degree detector exists for each egg row of the supply conveyor, and is designated as X1, X2, and X3 in order. The blood mixing degree detector X1 is responsible for the chicken egg row 1, the blood mixing degree detector X2 is for the chicken egg row 2, and the blood mixing degree detector X3 is for the chicken egg row 3.

The data on the degree of blood contamination of the eggs in each egg row detected by the detectors X1, X2, X3 is determined by the determination device 1
8 are inputted and stored in the memories 1, 2, and 3.

The good / bad boundary value setting unit 8
A certain rank is selected and set arbitrarily from the ranks 0 to 10 of the blood mixing degree. Thereby, a range of a so-called normal egg and a so-called blood egg is set.

A standard distribution table of the degree of blood contamination of chicken eggs is input to the determination device 18 in advance.
By comparing and comparing the transmitted blood mixing degree data of each egg row with standard distribution data of the blood mixing degree input in advance, the abnormality of each blood mixing degree detector is estimated.

In the above, the distribution data of the degree of blood contamination in each egg row and the standard distribution data are compared and contrasted. The incidence of so-called blood eggs recognized by selecting and setting the blood contamination degree rank may be compared for each chicken egg row.

The judging device 18 may use, instead of or in combination with the standard distribution data of the blood mixing degree, the blood mixing degree distribution data of the same selected egg on the previous day as a reference for comparison. .

Further, when a so-called blood egg, which is recognized by arbitrarily selecting and setting a certain blood contamination degree rank, continuously occurs in the chicken egg row of a specific blood contamination degree detector, the determination device 18 determines that It may be assumed that there is an abnormality in the blood contamination degree detector.

If the judging device 18 estimates that the detector X1 is abnormal, the judgment data is displayed on the display 19 on the screen. At that time, it may be simply displayed that "the detector X1 has failed,"
“Probability of failure ○%” may be displayed. In addition, the percentages are classified in advance, and “large trouble”, “during trouble”, “small trouble”
May be displayed on the screen.

In the case of "large trouble", the judging device 18 may issue an emergency stop electric signal 21 to the sorting device control unit 9 in addition to notifying by the display 19.

Further, the abnormality of the detector X1 may be displayed by issuing an alarm buzzer for notifying the abnormality or lighting or blinking a lamp indicating the abnormality.

[0046]

As described above, according to the present invention, it is possible to provide a normal operation monitoring device capable of easily estimating whether or not the physical characteristic detecting device of a chicken egg is operating normally.

[Brief description of the drawings]

FIG. 1 is a control block diagram of a preferred embodiment of the present invention.

Fig. 2 Standard distribution data table of chicken egg weight

FIG. 3 is a control block diagram of another embodiment.

Fig. 4 Standard distribution data table of the degree of cracking of chicken eggs

FIG. 5 is a control block diagram of another embodiment.

[Explanation of symbols]

 1, 4, 7 Comparator 2 Boundary egg weight setting device 3, 6, 9 Sorting device control unit 5, 8 Good / bad boundary value setting device 11, 14, 17 Selected egg information input device 12, 15, 18 Judgment device 13, 16, 19 Display

Claims (7)

[Claims] 1. A normal operation monitoring device for a physical characteristic detecting device of a chicken egg used in a chicken egg sorting device, wherein information detected by the physical characteristic detecting device or determination information obtained by determining the information is predetermined. A physical characteristic detecting device for a chicken egg, comprising a judging means for monitoring whether the operation of the physical characteristic detecting device is normal or abnormal, and a judging result output means for outputting a judgment result of the judging means. Normal operation monitoring device. 2. A normal operation monitoring device for a physical characteristic detecting device of a chicken egg for detecting physical characteristics of a chicken egg conveyed orderly in a multi-row horizontal body, wherein the information detected by the physical characteristic detecting device or Storage means for storing the judgment information obtained by judging the information, and comparing the information groups of each column stored in the storage means or the judgment information groups of each column with each other to determine whether the operation of the physical characteristic detecting device is normal. Determining means for monitoring the abnormality;
A normal operation monitoring device for a physical characteristic detecting device for a chicken egg, comprising: a determination result output unit that outputs a determination result of the determination unit. 3. The method according to claim 1, wherein the determining unit determines an information group of each column detected by the physical feature detecting device for a predetermined period or an average value and a standard deviation of a determination information group of each column obtained by determining information of each column. The normal operation monitoring device for a physical characteristic detecting device for a chicken egg according to claim 2, wherein the numerical values of the characteristics are compared. 4. The normal operation monitoring device for a physical characteristic detecting device of a chicken egg according to claim 1, wherein the judgment result information output by the judgment result output means includes an abnormal probability. . 5. The normal operation monitoring device for a physical characteristic detecting device of a chicken egg according to claim 1, wherein the physical characteristic detecting device is a weighing device. 6. The normal operation monitoring device for a physical characteristic detecting device for a chicken egg according to claim 1, wherein the physical characteristic detecting device is a cracked egg detecting device for detecting a crack in a chicken egg. 7. The normal operation monitoring device for a physical characteristic detecting device for a chicken egg according to claim 1, wherein the physical characteristic detecting device is a blood egg detecting device for detecting a blood-mixed egg.