JP4641193B2 - Weighing data processing device for high-speed weighing equipment - Google Patents

Description

  The present invention relates to a weighing data processing device for quickly elucidating the cause of a failure when a failure occurs in a high-speed weighing device.

  In an apparatus equipped with a weighing device, for example, a weight sorter, each time an article is weighed, it is determined whether the weighing value of the article is an appropriate amount, an excessive amount, or a light weight, and the results are tabulated. For example, in Patent Document 1, the weighing results are summed up in each of a plurality of weight sorters, and the correct number, the overdose number, and the count number are summed up for each weight sorter, and these count results are displayed together with the number of each weight sorter. Displayed on the device. In addition, the correct quantity, light weight, excess quantity, and total number in the total weight sorter are totalized and displayed together with the average weight on the display screen.

JP-A-8-29241 Paragraph Nos. 0019 and 0020

  When troubles such as excessive amount and light weight frequently occur, the cause of the troubles may be investigated using the above-mentioned totaling results and the cause may be eliminated. However, in the technique of Patent Document 1, the time when excessive amount or light weight is generated cannot be determined. In view of this, weighing value data obtained each time an article is weighed in a weight sorter is printed in order to find out when an overdose or deficiency has occurred, and to monitor the transition of weighing data. However, in recent years, the weighing speed of the weighing device has been improved. For example, in a high-speed heavy-weight sorter, the lightweight speed is 600 packs / minute or more. Alternatively, some automatic combination weighers have 180 packs / minute or more. Therefore, when the measurement value data is printed as described above, a large amount of measurement data must be printed, and the amount of printing paper used is enormous. Alternatively, when high-speed weighing is performed, printing by the printing apparatus may not be able to catch up with weighing.

  It is an object of the present invention to provide a data processing device that can easily elucidate the cause of the defect even in a high-speed weighing device.

  In the data processing device according to the present invention, each time an article is weighed in the high-speed weighing device, the weighing data storage means stores the weighing data of the article. As a device provided with a high-speed weighing device, for example, there is a weight sorter or an automatic combination weigher. A failure detection means detects whether or not a failure has occurred in the high-speed weighing device. As a defect, in the case of a weight sorter, the case where the weight of the sorted article is determined to be an excessive amount or light weight other than an appropriate amount is applicable. In the case of an automatic combination weigher, the total weight of the selected article falls outside the allowable weight range. A defect storage means is also provided. This stores defect data to be described later. When a malfunction is detected by the malfunction detection means, the time when the malfunction occurred, for example, the time or elapsed time from the start of sorting, and the measurement data storage means before and after the malfunction occurred are read from the measurement data storage means The control unit stores the predetermined number of the weighing data as defect data in the defect storage unit. The predetermined number of values can be arbitrarily set by the worker.

  If comprised in this way, every time a malfunction occurs, the transition of the measurement data before and after the occurrence time is stored in the malfunction storage means. Therefore, every time a malfunction occurs, the cause of the malfunction can be easily investigated by using the malfunction data in the malfunction storage means without printing the weighing data one by one.

The weighing data storage means erases weighing data older than the predetermined number of weighing data before the occurrence of the malfunction . The storage capacity of the weighing data storage means is also limited, and it is impossible to always store all the weighing data. Therefore, since data prior to the measurement data that has gone back a predetermined number from the time when the failure occurs is unnecessary, the storage means with a small capacity can be used as the measurement data storage means by deleting these data. Is possible.

  The selected one of the plurality of defect data stored in the defect storage means can be visually output to the output means. For example, it can be displayed on a display screen of a display device, or can be printed by a printer. As described above, the failure data can be visually confirmed and output, so that the cause of the failure can be easily determined.

  As described above, according to the present invention, it is possible to know the time of occurrence of a problem and the transition of measurement data before and after the problem, so that the cause of the problem can be easily investigated.

  A data processing apparatus according to an embodiment of the present invention is implemented in a high-speed weight type sorter. The weight type sorter has a weighing conveyor 2 as shown in FIG. The weighing conveyor 2 is a conveyor 4 such as a belt conveyor provided with weighing means, for example, a load cell 6. The weighing conveyor 2 measures each article fed on the conveyor 4 in order by the feeding conveyor 8. The articles are supplied to the infeed conveyor 8 by the acceleration conveyor 10.

  The analog weighing signal generated by the load cell 6 every time the load cell 6 weighs an article is supplied to the A / D converter 12 as shown in FIG. 2, where it is converted into weighing data, for example, digital weighing data, and the control means. For example, it is supplied to the CPU 14. The CPU 14 operates in accordance with a storage means, for example, a program stored in the memory 16, and the allowable upper and lower limit weight values set by the operation setting display device 18 installed on the side of the weighing conveyor 2, and the A / D The digital weighing data from the converter 12 is compared to determine whether the article on the weighing conveyor 2 corresponds to an appropriate amount, an excessive amount, or a shortage. That is, the case where the article is determined to be excessive or insufficient is a failure. That is, the CPU 14 functions as a defect detection unit. The weighing data and the determination result of the article are displayed on the display screen of the operation setting display device 18.

Articles conveyed on the weighing conveyor 2 are fed onto the sorting conveyor 20. If the CPU 14 determines that this article is an appropriate amount, the article is conveyed on the sorting conveyor 20 as it is. If it is determined that the article is excessive or insufficient, the sorting provided in the sorting conveyor 20 is performed. The sorting device 22 sorts the sheets to the side of the sorting conveyor 20. The distribution device 22 performs a distribution operation by a distribution drive circuit 24 that operates according to instructions to the CPU 14.
In addition, driving of the conveyor 2, the feeding conveyor 8, the accelerating conveyor 10, and the sorting conveyor 20 is also performed by a motor control circuit 26 that operates according to instructions from the CPU 14. The heavy speed high-speed sorter also includes a printer 28. On the display screen of the printer 28 or the operation setting display device 18, the result of data processing described later is output so that it can be visually confirmed.

  In this high-speed weight type sorter, in addition to the above-described sorting operation, every time an article is weighed on the weighing conveyor 2, the weighing data is stored in the memory 16 in advance as shown in FIG. The data is stored in the storage area in order. If any of these weighing data is determined to be defective, for example, an overdose or deficiency, the overdose or deficiency has occurred, the point in time when the overdose or deficiency has occurred, for example, the date and time of occurrence, and the overdose or deficiency. Weighing data, weighing data continuously traced from the weighing data to a predetermined number k (the predetermined number k is set by, for example, the operation setting display device 18), and continuously generated after the weighing data. A predetermined number k of weighing data is stored as a set of defect data in a predetermined defect data storage area on the memory 16. This process is performed every time a malfunction occurs. FIG. 3 shows a case where an excessive amount has occurred as a problem.

  Specifically, as shown in FIG. 4, a number that increases each time a failure occurs, followed by the date and time of occurrence, and a predetermined number corresponding to each failure, for example, 1 if overdose, 2 if deficient. And each measurement data mentioned above is memorize | stored as defect data.

  For this reason, the CPU 14 performs a process as shown in the flowchart of FIG. In this process, a flag F indicating whether or not a failure has occurred, a counter n for counting the number of weighing data after the failure has occurred, and a portion for storing failure data in the failure data storage area are designated. The counter R is used. In the initial state, the flag F and the counters n and R are each set to 0 (step S2). Note that the predetermined number k is preset by the operation setting display device 18.

  Next, when the articles are weighed on the weighing conveyor 2, the weighing data is stored in the weighing data storage area (step S4). Then, it is determined whether the flag F is set to 1 (step S6). That is, it is determined whether or not a defect has already been detected.

  If the answer to this determination is no, it is determined whether a defect has been detected (step S8). For example, it is determined whether it is determined that the amount is excessive or insufficient. If the answer to this determination is no, the process is executed again from step S4. Therefore, the measurement data is simply stored in order in the measurement data area until a failure occurs.

  If the answer to the determination in step S8 is yes, that is, if a malfunction is detected, the value of the counter R is incremented by one (step S10). That is, it is specified in which part of the defect data area the defect data is stored.

  Next, in the portion designated by the counter R in the failure data area, the failure occurrence date / time, the failure phenomenon number, the measurement data of the failure occurrence date / time, and the number k of measurement data before the failure occurrence date / time are stored (step S12). ). Then, the flag F is set to 1 (step S14), and the process is executed from step S4. That is, it is set that a defect is detected.

  Therefore, even after a failure occurs, the weighing data is stored in the weighing data storage area. Then, the answer to the determination in step S6 is yes, and the value of the counter n is incremented by 1 (step S16). Next, it is determined whether the value of the counter n is equal to or greater than k (step S18). That is, it is determined whether or not k pieces of measurement data are stored in the measurement data area after the date and time when the trouble occurs. If the answer to this determination is no, the loop of steps SS18, S4, S6, and S16 is repeated until the answer is yes.

  If the answer to the determination in step S18 is yes, k pieces of measurement data after the date of occurrence of the defect are copied from the measurement data area and stored in the area specified by the counter R in the defect data area (step S20). ).

  Then, of the weighing data in the weighing data area, the data before the weighing data that has been continuously traced back from the date and time when the trouble occurred is deleted (step S22). In this way, the measurement data area is effectively utilized by deleting the measurement data that is considered not to be used later. Then, the counter n and the flag F are set to 0, and the process returns to step S4. Accordingly, when a new defect occurs, the defect data is stored again in the same manner as described above.

  When trouble data is collected in this way, for example, when a plurality of pieces of trouble data are collected, if an appropriate operation is performed on the operation setting display device 18, a display screen of the operation setting display device 18 as shown in FIG. Displays a troubleshooting screen. In this display screen, each number is displayed in order of occurrence of the defect, and the date and time of occurrence of the defect is displayed following those numbers. Following that, the failure phenomenon is displayed. Subsequently, a data access switch is displayed. When this data access switch is accessed by operating the numeric keypad or the like of the operation setting display device 18, the display screen displays the time when the trouble occurred and k pieces of measurement data before and after that. That is, the transition of the weighing data before and after the time when the trouble occurs is displayed. For example, it is displayed as a bar graph or a line graph. The cause of the failure can be specified from the transition of the measurement data. Note that the transition of the measurement data can be printed out by accessing the data access switch. In this case, at the same time, the date and time of occurrence of the failure and the phenomenon of the failure are printed out.

  Displaying or printing out the transition of the weighing data before and after such a failure occurs is a weight in a high-speed weighing device. Usually, in a high-speed weighing device, for example, a weight-type sorter, each time an article is weighed, a determination result such as the weight of the article, an excessive amount, an appropriate amount, or a shortage is displayed. However, when the speed is increased, when 600 articles are weighed per minute as described above, the time during which the weight of one article and the determination result are displayed is a very short time of 1/10 seconds. It is impossible to understand the transition of the measurement data by looking only at the display that changes in such a short time and to investigate the cause of the malfunction. Therefore, as in this embodiment, a predetermined number of pieces of weighing data before and after the occurrence of the failure are stored in advance, and the cause of the occurrence of the failure can be investigated later by looking at the transition of the weighing data. .

  In the above-described embodiment, the present invention is implemented in the weight sorter, but is not limited thereto, and can be implemented in, for example, an automatic combination weigher. In the above-described embodiment, an excessive amount or a shortage is shown as an example of the problem. However, the present invention is not limited to this, and it is also possible to detect whether or not the measurement data is zero as a problem. In the above-described embodiment, the occurrence date and time of the defect, the failure phenomenon number, and the measurement data are stored as the defect data. However, at least the occurrence date and time and the measurement data may be stored.

It is a schematic structure figure of a weight type sorter of one embodiment of the present invention. It is a block diagram of the weight type sorter of FIG. It is a figure which shows the change of the measurement data in the weight type sorter of FIG. It is the figure which showed typically the structure of the defect data in the weight type sorter of FIG. It is a flowchart which shows the process in the weight type sorter of FIG. It is a figure which shows the display in the weight type | formula sorter of FIG.

Explanation of symbols

2 Weighing conveyor (measuring means)
14 CPU (defect detection means, control means)
16 Memory (weight data storage means, defect data storage means)

Claims (1)

Each time an article is weighed in the high-speed weighing device, weighing data storage means for storing weighing data of the article;
A failure detection means for detecting whether or not a failure has occurred in the high-speed weighing device;
Fault storage means for storing fault data;
When a failure is detected by the failure detection means, the time when the failure occurred, and a predetermined number of the measurement data read from the measurement data storage means before and after the time when the failure occurred, Control means for storing in the defect storage means as the defect data;
A weighing data processing device for a high-speed weighing device, wherein the weighing data storage means erases weighing data that is older than the predetermined number of weighing data before the occurrence of the malfunction.

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