JPH08179826A - Stop factor diagnosing method for machine - Google Patents

Abstract

PURPOSE: To provide the stop factor diagnosing method for machine with which the real factor of emergency stop can be easily diagnosed. CONSTITUTION: When the operating state data of a roller mill 10 are continuously fetched through a sensor 2, amplifier 3 and instrumentation controller 4 into a data processor 5 (S1) and the roller mill 10 is stopped in an emergency (S2), the operating state data just before the emergency stop are applied to a previously set evaluation function and weight for each considerable emergency stop factor so that the considerable emergency stop factor is made into a point (S3) and abnormality can be processed based on this point (S4). Thus, the real factor of the emergency stop can be easily diagnosed. Therefore, the emergency stop is not repeated many times because of the same factor so that production loss can be reduced.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a machine stop cause diagnosis method, and more particularly to a machine stop cause diagnosis method applicable to, for example, roller mills and other machine equipment in general.

[0002]

2. Description of the Related Art As a specific example of a machine, a roller mill 10 as shown in FIG. 5 will be described here. In the roller mill 10, the raw material put in the hopper 11 is transferred to the conveyor 12
It is carried by the mill casing 16 from the raw material inlet 13
The required amount is supplied on the inner table 14. Table 1
The raw material supplied onto the table 4 is crushed and crushed between the table 14 and the roller 15 which rotates in cooperation with the table 14. The raw material crushed here is blown up by the hot air blown into the mill casing 16, and the separator 1
According to 8, it is classified into coarse particles and fine particles. The fine particles are guided to the outside of the mill casing 16 by the exhaust of the exhaust fan 17 and collected as a product by the bag filter 19. The coarse particles classified by the separator 18 fall in the mill casing 16 and are returned to the table 14 to be ground again. Further, large particles that have not been blown up by the hot air and the raw material overflowing from the table 14 are taken out from the mill casing 16 and returned to the hopper 11 by the basket elevator 20. Such a roller mill 10 often falls into an unstable state such as an increase in vibration and a rise in mill power due to a change in the state of the inside of the mill due to the property of the raw material. Of the mill, failure of the mill body, and deterioration of product quality. Therefore, it is desired to accurately detect such an unstable state. In the conventional roller mill abnormality detection device 30 shown in FIG. 6, the abnormal state of the roller mill 10 is detected by detecting the vibration of the roller mill 10, and when the vibration exceeds a preset predetermined value, an alarm display or The corresponding action for stopping the mill is executed. The vibration is detected by a vibration pickup 31 attached to the roller mill 10, amplified by a vibrometer amplifier 32, and then taken into an instrumentation control device 33. In this example, when the vibration value taken into the instrumentation control device 33 is 8 mm / s (vibration trip set value) or more, the roller mill 10 is forcibly stopped and the vibration trip is displayed. Further, when the vibration value is 6 mm / s or more and less than 8 mm / s, a vibration increase alarm is displayed.

[0003]

In the conventional abnormality detecting device 30 as described above, when the roller mill 10 is in an emergency stop, the cause of the vibration is restarted unless the cause is accurately determined and the cause is not eliminated. Even then, the mill stops again. However, in this case, it is not possible at present to determine what caused the vibration. In addition, when stopping a general machine, many have decided to perform emergency stop, alarm display, etc. with a fixed set value of various sensors such as motor power in addition to such vibration. It does not diagnose the true cause of the outage. . The present invention has been made in view of the above circumstances, and an object of the present invention is to provide a machine stop cause diagnosis method capable of easily diagnosing the true cause of a machine emergency stop.

[0004]

In order to achieve the above object, the present invention is to continuously detect and store the operating state data of a machine, and when the machine is in an emergency stop, the operating state immediately before the emergency stop. By applying the data to preset evaluation functions and weights for each possible cause of emergency stop, the possible cause of emergency stop is scored, and the machine is stopped by performing anomaly processing based on the size of the score. It is configured as a cause diagnosis method. Further, the above-mentioned abnormal processing is a method of diagnosing a machine stop cause, which is an indication of the cause of an emergency stop. Furthermore, the above-mentioned abnormal processing is a method of diagnosing the cause of machine stoppage, which is work for eliminating the cause of emergency stop. Furthermore, it is a method of diagnosing the cause of stoppage of a machine in which the machine is a roller mill.

[0005]

According to the present invention, the operating state data of the machine is continuously detected and stored. When the machine is in an emergency stop, the operating state data immediately before the emergency stop is applied to a preset evaluation function and a weight for each possible cause of the emergency stop to score the possible cause of the emergency stop. The size of the score objectively represents how close to the true cause of the emergency stop, and the true cause of the emergency stop can be easily diagnosed by performing the abnormality processing based on this order.

[0006]

Embodiments of the present invention will be described below with reference to the accompanying drawings for the understanding of the present invention. The following embodiments are examples embodying the present invention and do not limit the technical scope of the present invention. Here, FIG. 1 is a block diagram showing a schematic configuration of an apparatus 1 to which a method for diagnosing a stop cause of a roller mill according to an embodiment of the present invention can be applied, FIG.
Is a partial view of a chart showing items necessary for diagnosing the cause of roller mill stop, FIG. 3 is a chart showing a method of calculating an evaluation point from an evaluation function, and FIG. 4 is a chart showing an output display example. Also in this embodiment, a roller mill 10 similar to the conventional example will be described as a specific example of the machine. The stop cause diagnosis device 1 of the roller mill 10 shown in FIG. 1 is configured to detect vibration of the roller mill 10 as data for knowing the operating state of the roller mill 10 and detect an abnormal state of the roller mill 10 from the operating state data. ing. That is, the operating state data detected by the various sensors 2 installed in the roller mill 10 is amplified by the amplifier 3 and then input to the instrumentation control device 4. The instrumentation control device 4 outputs the operating state data to the data processing device 5 to perform data processing in order to detect the abnormal state of the roller mill 10 from the input operating state data. Hereinafter, a procedure of data processing in the data processing device 5 which is a feature of the present invention will be described based on the flowchart shown in FIG. , S1, ..., Shown in the figure are step numbers indicating the processing procedure.

The data processing device 5 continuously fetches the operating state data of a roller mill, which is an example of a machine (S
1) If the roller mill has an emergency stop (S2), the operating state data immediately before the emergency stop is applied to the preset evaluation function and the weight for each of the possible emergency stop causes to determine the possible cause of the emergency stop. The emergency stop cause is scored by applying it to each weight (S3), and the abnormality processing is performed based on the size of the score (S4). Here, the operating state data (input items) taken in by the data processing device 5 requires all items for determining the cause of the mill stop as input items. That is, as the present value, input amount, mill power, table rotation speed, motor current, mill inlet pressure, mill differential pressure, bag filter differential pressure, air volume, mill inlet temperature, mill outlet temperature, tension hydraulic pressure, bed thickness, vibration, liner Usage time etc. Also, the output items for abnormality processing are only to list the causes of mill stop. Next, the details of the diagnostic software will be described in more detail. When the roller mill 10 is stopped, the cause of the stop is estimated based on the operation state data immediately before the stop of the mill, and the possible cause is displayed or printed out in the form of a list as the output item. In estimating the cause of the stop, the characteristics of the operation state data immediately before the mill stop for all the causes are input in advance, the operation state data are compared when the roller mill 10 actually stops, and the characteristics of the data match. The score is calculated for each item and the result is displayed in a list. Here, the average value of each operating state data, the change rate, and the fluctuation range are used to estimate the cause of stoppage.

Next, an example of features and evaluation values for estimating the cause of stoppage will be shown. First, the calculation method of the evaluation points is performed as shown in FIGS. That is, in FIG. 2, assuming that the average value of the input amount is 126 t / h, for example, using the preset evaluation function in FIG. 3, interpolation as shown in FIG. Evaluation point of 126 t / h "-5
0 "is obtained. Among the estimated causes of stop in FIG. 2, the one with a minus sign in the column of the input amount average value is selected. In FIG. Is applicable in
The evaluation score in this case is −50 × −2 = 100. That is, "-2" is a weight for a preset evaluation point, and in this case means that the evaluation point is doubled. Evaluation points are summed up in the same way for each item,
The total is used as the overall evaluation score for each presumed cause. Then, the output is displayed as shown in FIG. 4 for each estimated cause of the stop. The size of the score thus obtained is an objective expression of how close it is to the true cause of the emergency stop of the machine. The true cause of an emergency stop can be easily diagnosed by displaying or outputting the cause of the machine's emergency stop in the order of points. Therefore, if you check and remove the cause before restarting, you will not have to repeat emergency stop for the same reason. As a result, the production loss of the machine can be reduced. Although the roller mill is illustrated as an example of the machine in the above-mentioned embodiment, it can be similarly applied to other general mechanical equipment. In the above-mentioned embodiment, the output items are limited to the output only as a list of mill stop causes. However, in actual use, the cause of an abnormal stop such as automatically changing the input amount setting when the input amount is excessive. There is no problem even if it includes work for solving it.

[0009]

Since the method for diagnosing a machine stop cause according to the present invention is configured as described above, the true cause of an emergency stop can be easily diagnosed. Therefore, if the check and cause elimination are performed before starting, the emergency stop will not be repeated for the same cause many times, and the production loss of the machine can be reduced.

[Brief description of drawings]

FIG. 1 is a block diagram showing a schematic configuration of an apparatus 1 to which a method of diagnosing a stop cause of a roller mill according to an embodiment of the present invention can be applied.

FIG. 2 is a partial view of a chart showing items and the like necessary for diagnosing the cause of the roller mill stop.

FIG. 3 is a chart showing a method of calculating an evaluation point from an evaluation function.

FIG. 4 is a chart showing an example of output display.

FIG. 5 is a schematic diagram showing the overall configuration of a roller mill.

FIG. 6 is a block diagram showing a schematic configuration of an example of a conventional roller mill abnormality detection device 30.

[Explanation of symbols]

 1 ... Stop cause diagnostic device 2 ... Sensor 3 ... Amplifier 4 ... Instrumentation control device 5 ... Data processing device 10 ... Roller mill (an example of machine)

Claims (4)

[Claims] 1. The operating state data of a machine is continuously detected and stored, and when the machine is in an emergency stop, the operating state data immediately before the emergency stop is set for each preset evaluation function and possible cause of emergency stop. By applying to the weights of
A method for diagnosing a cause of a machine stop, in which the possible causes of emergency stop are scored, and abnormal processing is performed based on the size of the score. 2. The method for diagnosing a machine stop cause according to claim 1, wherein the abnormal processing is an indication of a cause of an emergency stop. 3. The method of diagnosing a machine stop cause according to claim 1, wherein the abnormal processing is an operation for eliminating a cause of an emergency stop. 4. The machine according to claim 1, which is a roller mill.
4. The method for diagnosing a machine stop cause according to any one of 3 above.