JP7354818B2 - Abnormality diagnosis device and method for rotary processing equipment - Google Patents

Description

The present invention relates to an abnormality diagnosis device and an abnormality diagnosis method for rotary processing equipment.

A variety of rotary processing equipment is used to manufacture filled containers, including seamers, cappers, labelers, printers, and filling machines. These rotary processing equipments rotate a turret that holds a workpiece around a central axis, and process the workpiece while rotary conveying it. Electric motors are generally used to drive the rotation of machining equipment including turrets, and drive control is performed to keep the rotation speed constant through feedback control.

In order to continuously maintain the quality of products obtained through processing, such rotary processing equipment is required to diagnose whether or not the rotary processing equipment is operating normally. In general, diagnosis of rotating mechanical equipment involves analyzing the sounds and vibrations generated by mechanical equipment that is rotationally driven by a motor, and diagnosing abnormalities in bearings and bearing-related parts within the equipment. (See Patent Document 1 below).

International Publication WO2006/043511 Publication

In rotary processing equipment, a series of processing is performed during one rotation of the turret that holds and transports the workpiece (container). At this time, the vibrations generated from the processing equipment include low frequencies for each rotation period of the turret, but in conventional technology, high frequency vibrations are analyzed by FFT to perform abnormality diagnosis. This removed low frequency vibrations.

However, with such conventional abnormality diagnosis, although it is possible to diagnose abnormalities in bearings and parts related to bearings that are reflected in vibration, it is difficult to clearly determine abnormalities at specific positions in a series of machining processes. There was a problem in that it was not possible to clearly identify the location of the abnormality or the cause of the abnormality.

In addition, in abnormality diagnosis that analyzes the sounds and vibrations generated by processing equipment, the abnormality is diagnosed when the abnormality has actually progressed considerably, so if a product defect occurs due to processing during that period, it can be overlooked. There was a concern that this would happen.

The present invention aims to deal with such circumstances. In other words, when diagnosing an abnormality in rotary processing equipment, it is necessary to clarify the location of the abnormality, to identify the cause of the abnormality by clarifying the location of the abnormality, and to prevent product defects from occurring. It is an object of the present invention to suppress this.

In order to solve such problems, the present invention includes the following configuration.

An abnormality diagnosis device for rotary processing equipment that processes a workpiece while rotary conveying it, comprising a motor control unit that feedback controls the rotation of a motor that drives the rotary processing equipment to a constant speed, and extraction from the motor control unit. an abnormality diagnosis unit that performs an abnormality diagnosis based on the torque value, the abnormality diagnosis unit monitors the time-series change in the torque value for each specific position during one rotation of the rotary conveyance, and the abnormality diagnosis unit An abnormality diagnosis device for rotary processing equipment characterized by determining an abnormality based on changes in torque value.

A method for diagnosing abnormalities in rotary processing equipment that processes workpieces while rotary conveying the equipment, which detects time-series changes in torque values from a motor control unit that feedback-controls the rotation of a motor that drives the rotary processing equipment to a constant speed. The present invention is characterized by comprising a step of extracting the torque value, and a step of monitoring the time-series change in the torque value for each specific position during one revolution of rotary conveyance, and determining an abnormality based on the state of change in the torque value at the specific position. Anomaly diagnosis method for rotary processing equipment.

The present invention having such features can clarify the location where an abnormality occurs when diagnosing an abnormality in rotary processing equipment. Furthermore, by clarifying the location where the abnormality occurs, the cause of the abnormality can be identified. Furthermore, it is possible to prevent product defects from occurring.

FIG. 1 is a block diagram showing a system configuration of an abnormality diagnosis device for rotary processing equipment according to an embodiment of the present invention. An explanatory diagram showing an example of rotary processing equipment. FIG. 3 is a block diagram showing a configuration example of an abnormality diagnosis section. FIG. 4 is an explanatory diagram showing changes in machining torque for each specific position.

Embodiments of the present invention will be described below with reference to the drawings. In the following description, the same reference numerals in different figures indicate parts with the same function, and redundant explanation in each figure will be omitted as appropriate.

As shown in FIG. 1, rotary processing equipment 1 is generally driven by a motor (electric motor) 3 via a reduction gear 2. As shown in FIG. At this time, the rotational speed of the motor 3 is feedback-controlled to a constant speed by the motor control section 10.

The motor control unit 10 detects the rotational speed of the motor 3 with a speed detector (for example, a pulse generator) 11, and performs feedback control based on the torque so that the detected speed matches the set speed command value. It is something to do. An example is shown in FIG. 1, which includes a speed control section (ASR) 12, a torque control section (ATR) 13, and a power conversion section 14 in addition to the speed detector 11 described above.

In the motor control unit 10 shown in FIG. 1, the speed control calculation process of the speed control unit 12 is performed based on the difference value obtained by comparing the detected speed (actual speed) detected by the speed detector 11 with the speed command value. , Based on the calculation result, a torque command value for making the speed of the motor 3 match the speed command value is output from the speed control section 12. The torque control section 13 outputs a control signal for controlling the driving torque of the motor 3 based on the torque command value output from the speed control section 12 . The power converter 14 supplies the necessary power to the motor 3 according to the control signal output from the torque controller 13 .

When the load applied to the motor 3 changes over time, the motor control section 10 outputs a torque command value to the torque control section so as to change the drive torque according to the load. Therefore, by monitoring this torque command value, the load condition applied to the motor 3 can be grasped.

The abnormality diagnosis device (abnormality diagnosis method) according to the embodiment of the present invention includes an abnormality diagnosis section 20 that performs abnormality diagnosis based on the torque value (value obtained by monitoring the torque command value) extracted from the motor control section 10 described above. We are prepared. The abnormality diagnosis unit 20 monitors the above-mentioned time-series changes in the torque value at each specific position during one rotation of the rotary conveyance in the processing equipment 1, and performs an abnormality determination based on the state of change in the torque value at the specific position, In addition to the above-mentioned torque value, the abnormality diagnosis unit 20 also receives the origin position signal output from the position sensor 1P (see FIG. 2) provided in the processing equipment 1, the speed signal based on the speed command value, and the speed signal of the speed detector 11. Operation position signals obtained by integrating the detected speeds are each input as time-series signals.

FIG. 2 shows an example of rotary processing equipment. Here, a seamer is shown as an example in which a product W3 is obtained by fitting a can lid W2 to the flange opening of a can W1 filled with contents and performing seaming processing. However, embodiments of the present invention are not particularly limited thereto. In the example of FIG. 2, the processing equipment 1 includes a processing turret 1A, a lid supply turret 1B, and a transport turret 1C, and these turrets are rotationally driven by the motor 3 described above.

In such processing equipment 1, the processing turret 1A includes a plurality of pockets (n locations in the illustrated example) for processing the workpiece while conveying it. The abnormality diagnosis unit 20 can recognize the position of this pocket as a specific position during one rotation of the rotary conveyance, based on the output of a position sensor 1P that detects the origin position P provided on the processing turret 1A. Specifically, the pocket position on the opposite side of the rotational direction closest to the origin position P is the specific position "1", and the pocket positions for one rotation of the processing turret 1A lined up on the opposite side of the rotational direction are "2", respectively. , "3", "4", ... "n-2", "n-1", "n".

FIG. 3 shows an example of the configuration of the abnormality diagnosis section 20 described above. The abnormality diagnosis unit 20 detects specific positions "1", "2", "3", "4", ... "n-2", "n-1" during one rotation of the rotary conveyance as shown in FIG. , "n", the time-series changes in the torque values extracted from the motor control unit 10 are distributed and monitored, and an abnormality is determined based on the state of change in the torque values at each specific position.

More specifically, the abnormality diagnosis section 20 includes, for example, a low-pass filter 21, a mechanical loss calculation section 22, a machining torque extraction section 23, a machining torque distribution section 24, an abnormality determination section 25, an abnormality warning section 26, etc. There is. The low-pass filter 21 removes high frequency components from the time-series changes in the torque value extracted from the motor control unit 10 and outputs the result.

The mechanical loss calculation unit 22 calculates mechanical loss torque from the speed signal. Mechanical loss torque is the torque required when the equipment is rotated without machining (during no-load operation), and generally increases in proportion to the rotation speed. The mechanical loss calculation unit 22 inputs the speed signal detected by the speed detector 11 or the speed signal obtained from the speed command value into the linear regression equation obtained by performing no-load operation of the processing equipment 1 in advance. , calculate the mechanical loss torque.

The machining torque extraction unit 23 subtracts mechanical loss torque from the output of the low-pass filter 21 to extract machining torque. The machining torque is a torque value required for machining by the machining equipment 1, and by monitoring time-series changes in this machining torque, it is possible to improve the accuracy of abnormality determination during machining.

The machining torque distribution unit 24 separates specific positions "1", "2", "3", "4", ... "n-2", "n-1", "n" during one rotation of the rotary conveyance described above. , distributes the time-series changes in machining torque. The processing torque distribution unit 24 receives the operating position signal, which is the integral signal of the speed detector 11, and the origin position signal, which is the output of the position sensor 1P, and distributes the time-series change information of the processing torque to each specific position. , outputs time-series changes in machining torque for each specific position.

The abnormality determination unit 25 compares the time series information of machining torque for each specific position with a reference value, and outputs an abnormality signal when the machining torque for each specific position exceeds the reference value. The abnormality warning unit 26 outputs a warning signal such as display, lighting, and sound when an abnormality signal is output from the abnormality determining unit 25.

FIG. 4 shows an example of the operation of the machining torque distribution section 24 and the abnormality determination section 25. The machining torque input to the machining torque distribution unit 24 shows time-series changes as shown in the figure, but there are periodic vertical fluctuations even within one rotation (R1, R2, . . . ) of rotary conveyance. Therefore, even if this is used as is, it is difficult to accurately determine abnormality.

The time series information of the machining torque input to the machining torque distribution unit 24 is divided at the input timing of the origin position signal which is the output of the position sensor 1P, so that the time series information of the machining torque is inputted to the machining torque distribution unit 24 at the time of each rotation (R1, R2,...) of the rotary conveyance. Furthermore, by combining the operation position signal, which is an integral signal of the speed detector 11, with the input timing of the origin position signal, specific positions "1" and "2" during one revolution of rotary conveyance can be determined. , "3", "4", . . . "n-2", "n-1", "n", time-series change information of machining torque can be distributed.

The example shown in FIG. 4 shows how the machining torque changes at specific position "1". Here, the machining torque at specific position "1" gradually increases at the R1, R2, R3, and R4 rotations of the machining turret 1A, and there is an example in which it exceeds the reference value at the R4 rotation. It is shown. In the illustrated example, the time-series change in machining torque at specific position "1" is shown, but the machining torque distribution unit 24 and abnormality determination unit 25 , “4”, .

Such time-series changes in machining torque for each specific position are approximately flat during normal operation, but will increase if a load is applied to the machining equipment 1 for some reason. Therefore, by monitoring this time-series change, it is possible to diagnose whether or not an abnormal load has been applied to the processing equipment 1. At this time, changes in machining torque are monitored for each specific position, so if an abnormality occurs, the position can be ascertained. The cause can be quickly identified.

Moreover, since this abnormality diagnosis device (abnormality diagnosis method) performs abnormality determination based on the torque value (processing torque) extracted from the motor control unit 10, the torque value can be used to detect signs of a major problem occurring in the processing equipment 1. By eliminating the cause of the abnormality before it occurs, product defects can be prevented.

Although the embodiments of the present invention have been described above in detail with reference to the drawings, the specific configuration is not limited to these embodiments, and the design may be changed without departing from the gist of the present invention. Even if there is, it is included in the present invention.

1: Processing equipment, 1A: Processing turret, 1B: Lid supply turret,
1C: Transport turret, 1P: Position sensor,
2: Reducer, 3: Motor,
10: Motor control section, 11: Speed detector, 12: Speed control section,
13: Torque control section, 14: Power conversion section,
20: Abnormality diagnosis section, 21: Low pass filter, 22: Mechanical loss calculation section,
23: Machining torque extraction section, 24: Machining torque distribution section,
25: Abnormality determination section, 26: Abnormality warning section,
P: Origin position, W1: Can, W2: Can lid, W3: Product

Claims (5)

An abnormality diagnosis device for rotary processing equipment that processes a workpiece while conveying it in a rotary manner,
a motor control unit that feedback controls the rotation of a motor that drives rotary processing equipment to a constant speed;
an abnormality diagnosis section that performs abnormality diagnosis based on the torque value extracted from the motor control section,
The abnormality diagnosis section includes:
An abnormality diagnosis device for rotary processing equipment, characterized in that a time-series change in the torque value is monitored for each specific position during one rotation of rotary conveyance, and an abnormality is determined based on a state of change in the torque value at the specific position. 2. The abnormality diagnosis device for rotary processing equipment according to claim 1, wherein the specific position is set to correspond to a pocket position of a turret that performs rotary conveyance. 3. The abnormality diagnosis device for rotary processing equipment according to claim 1, wherein the torque value is a value obtained by subtracting mechanical loss torque during no-load operation. The rotary processing equipment according to any one of claims 1 to 3, wherein the abnormality diagnosis section diagnoses an abnormality when the torque value at the specific position exceeds a reference value. Abnormality diagnosis device. A method for diagnosing an abnormality in rotary processing equipment that processes a workpiece while rotary conveying the workpiece, the method comprising:
extracting time-series changes in torque values from a motor control unit that feedback controls the rotation of a motor that drives rotary processing equipment to a constant speed;
A step of monitoring the time-series changes in the torque value at each specific position during one rotation of rotary conveyance, and determining an abnormality based on the state of change in the torque value at the specific position. Abnormality diagnosis method.

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