JP3047892B2 - Equipment deterioration diagnosis apparatus, equipment deterioration diagnosis method, and recording medium - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an equipment deterioration diagnosis apparatus, an equipment deterioration diagnosis method, and a recording medium, and more particularly, to a method of statistically processing output data of components of a predetermined equipment to reduce the deterioration of the parts. The present invention relates to an equipment deterioration diagnosis apparatus and method capable of predicting and detecting deterioration, and a recording medium.

[0002]

2. Description of the Related Art Conventionally, as a method of maintaining equipment parts, a method of responding to a failure (ex-post maintenance).
The mainstream is a method of predicting the service life of parts to some extent and performing maintenance (time-based maintenance).

[0003]

In the former case, there is a problem that the time required for the maintenance is long and the downtime of the equipment is long. In the case of the latter, replacement parts must always be prepared as inventory, and there is a problem that leads to an increase in inventory cost.

[0004] The present invention has been made in view of such circumstances, and by predicting the failure time of a replacement part, it is possible to purchase the replacement part in accordance with the failure time, thereby reducing the cost required for maintenance. Is what you can do.

[0005]

According to a first aspect of the present invention, there is provided an equipment deterioration diagnosis apparatus for monitoring the operating states of components constituting predetermined equipment, predicting the deterioration of the components, and detecting the deterioration. An apparatus, comprising: input means for inputting an output signal of a component; sampling means for sampling a signal input by the input means at predetermined time intervals; and storage for storing data corresponding to the signal sampled by the sampling means. Means, statistical processing means for performing statistical processing on the data stored in the storage means, and calculating means for calculating a predetermined limit value based on the tendency of change of the data statistically processed by the statistical processing means, A first determination unit that determines a component failure based on the data stored in the storage unit and a predetermined failure determination value; Based on over data and limit values, and a second determining means for determining a sign of the deterioration of parts, first determine
The determining means determines that the data stored in the storage means is a failure determination value.
If it exceeds, it is determined that the component has failed, and a second determination means is provided.
Means that the data statistically processed by the statistical
When the threshold value is exceeded, it is judged that it is a precursor to the deterioration of parts,
The result of the determination by the first determination means and the second determination means
Output means for outputting a result of the judgment by the
The stages are operated at fixed intervals by the operation of equipment components.
Input digital signal corresponding to voltage signal with changing bell
Signal selection stored in the parameter data storage device.
Only the digital signal selected based on the
Data to the input interface.
Signal level transmitted from the
The time from change to change is measured, and the measured time data
Data to the collected data storage device along with the collection time data
And the data processing device stores the parameter data.
According to the parameter data stored in the data storage device.
Stored in the collected data storage device over a predetermined span.
Data, perform statistical processing, and obtain the results.
The collected statistical data is stored in the collected data storage device.
The statistical data is read from the collected data storage device.
The data is converted to trend management data and recorded in the collected data storage device.
Remember, the data processing device manages this trend management data.
The characteristic limit value is automatically calculated, and the trend management data is monitored . A method of diagnosing equipment deterioration according to claim 2 is a method of diagnosing equipment deterioration, which monitors the operation state of parts constituting a predetermined equipment, predicts deterioration of the parts, and detects deterioration of the parts. Input step, a sampling step of sampling a signal input in the input step at predetermined time intervals, a storage step of storing data corresponding to the signal sampled in the sampling step, and a storage step of A statistical processing step of performing statistical processing on the data; a calculating step of calculating a predetermined limit value based on a change tendency of the data statistically processed in the statistical processing step; A first determination step of determining a component failure based on the failure determination value of Based on the statistical processing data and the limit value in step, characterized in that it comprises a second determination step of determining a sign of the deterioration of parts. According to a third aspect of the present invention, there is provided a recording medium on which a program capable of executing the equipment deterioration diagnosis method according to the second aspect is recorded. In the equipment deterioration diagnosis apparatus and equipment deterioration diagnosis method and the recording medium according to the present invention, an output signal of a component is input, the input signal is sampled at predetermined time intervals, and data corresponding to the sampled signal is obtained. Store, perform a statistical process on the stored data, based on the tendency of change of the statistically processed data, calculate a predetermined limit value, based on the stored data and a predetermined failure determination value, A failure of the component is determined, and a sign of deterioration of the component is determined based on the statistically processed data and the limit value.

[0006]

FIG. 1 is a block diagram showing an example of the configuration of an embodiment of the equipment deterioration diagnosis apparatus of the present invention. The equipment deterioration diagnosis device constantly monitors the operating state of the components of a predetermined equipment, statistically processes and manages the data, predicts the deterioration (failure) of the components, and detects the deterioration. is there.

[0007] As shown in FIG.
It comprises an external input interface unit 1 for inputting a voltage signal from the outside, a data processing device 2 operated by program control, a storage device 3 for storing information, an output device 4 including a display device 42, a printing device 43, and the like. Have been. The output device 4 has an output interface 41 and outputs a deterioration determination result.

The external input interface unit 1 has an A / D
It has a conversion unit 11. The storage device 3 has a parameter data storage device 31 and a collected data storage device 32. The A / D converter 11 receives a pressure amount or a displacement amount generated by the operation of the component as a voltage, and transfers digital data that increases or decreases according to the voltage to the data processing device 2. Further, it has a function of selecting an input signal according to an input signal condition arbitrarily set in the parameter data storage device 31 in advance.

The data processing device 2 includes an A / D converter 11
The supplied digital data is stored in the collected data storage device 32 together with the collection time data. Further, the data of the collected data storage device 32 is statistically processed in the parameter data span arbitrarily set in the parameter data storage device 31, and the trend of the data is managed based on the statistical data. The limit value is automatically calculated and stored in the collected data storage device 32.

Further, the data processing device 2 is adapted to determine the failure of the latest input data based on the failure determination data arbitrarily set in the parameter data storage device 31. Further, the deterioration determination value (control limit value) stored in the collected data storage device 32 is used to determine the precursor of deterioration for the latest statistical data.

The result of the determination of a sign of failure or deterioration is output to the outside through the output interface unit 41. In addition, the parameter data, collected data, statistical data, trend management data, and the like are converted into tables, graphs, and the like in the data processing device 2, and are displayed on the display device 42 constituting the output device 4, and
The printing is performed by the printing device 43.

Next, the operation of the embodiment shown in FIG. 1 will be described in detail. First, the operation of the components making up the equipment is detected by the amount of pressure and the amount of displacement. For example, a press load of a mold press is detected by a load cell. Also,
The absolute movement amount near the bottom dead center of the press is detected by a displacement sensor or the like. Then, using the detected displacement amount as a change in voltage, A /
The data is input to the D conversion unit 11.

The A / D converter 11 transfers only the signal selected by the input signal condition stored in the parameter data storage device 31 to the data processing device 2.

The data processor 2 converts the amount of change in the voltage input to the A / D converter 11 into digital data for each cycle of the fetched data recorded in the parameter data storage 31, and collects the data at any time. The data is stored in the data storage device 32.

Further, statistical processing is performed on the data supplied from the A / D converter 11 using the statistical processing interval parameter and the statistical processing number parameter stored in the parameter data storage device 31. For example, a maximum value, a minimum value, an average value, and a standard deviation value of the input data are calculated. In this way, the statistical data subjected to the statistical processing is stored in the collected data storage device 32 together with the time (recording time) for storing the statistical data in the collected data storage device.

The data processing device 2 performs an input voltage trend management process based on these statistical data, and determines a management limit value based on the statistical data and the management standard data stored in the parameter data storage device 31. The calculated data is stored in the collected data storage device 32 together with the trend management data.

Next, the data processing device 2 compares and monitors the control limit value and the latest trend management data at predetermined intervals stored in the parameter data storage device 31. Then, when the trend management data exceeds the management limit value, it is determined that it is a precursor of deterioration of the equipment component, and a signal representing the determination result is output from the output interface unit 41.

Further, the data processing device 2 determines the judgment value stored in the parameter data storage device 31 in advance, ie,
The monitoring data (sudden abnormality parameter) for the sudden abnormality is compared with the captured data as needed, and when it is determined that the data is abnormal, it is considered that deterioration (failure) has been detected, and a signal indicating the determination result is output. Output from the output interface 41.

The data in the collected data storage device 32 is converted into predetermined graphs, tables, and the like by the data processing device 2 and output to the display device 42 and the printing device 43.

As described above, in the above embodiment, the following effects can be obtained. That is, it is possible to predict deterioration of equipment components (maintenance based on state). As a result, the failure time of the equipment component can be predicted almost accurately, so that it is possible to purchase the part in time with the part replacement time and to stop the apparatus systematically. Therefore, cost-minimum maintenance becomes possible. The reason is that the state of the equipment component is made into a database, and it is easy to catch the change in the state of the equipment component by the above-described statistical processing and trend management.

Next, another embodiment of the present invention will be described.
This will be described in detail with reference to FIG. As shown in FIG.
This embodiment has a recording medium 6 in which a program for predicting deterioration of equipment component parts is recorded. This recording medium 6 may be a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or another recording medium.

The deterioration prediction program recorded on the recording medium 6 is read by the data processing device 2 to control the operation of the data processing device 2. The data processing apparatus 2 executes the following processing under the control of the deterioration prediction program, that is, basically the same processing as the processing by the data processing apparatus 2 of the embodiment shown in FIG.

The input interface unit 12 inputs a digital signal corresponding to a voltage signal whose voltage level changes at regular intervals by the operation of the equipment component, and receives the digital signal corresponding to the signal selection condition stored in the parameter data storage device 31. Only the digital signal selected based on the
Has been made to transfer to.

The data processing device 2 measures the time from the signal level change to the change of the signal transferred from the input interface unit 12 and supplies the measured time data to the collected data storage device 32 together with the collected time data. And memorize it.

Further, the data processing device 2 reads out the data stored in the collected data storage device 32 at a predetermined span in accordance with the parameter data stored in the parameter data storage device 31 and performs a statistical process. The obtained statistical data is stored in the collected data storage device 32. The statistical data is read from the collected data storage device 32, converted into trend management data, and stored in the collected data storage device 32. The data processing device 2
A management limit value is automatically calculated from the trend management data, and the trend management data is monitored.

The data processing device 2 compares the control limit value with the statistical data, and when the statistical data exceeds the control limit value, determines that it is a precursor of deterioration of the equipment component, and outputs the determination result to the output interface. The information is output from the unit 41 to the outside and displayed on the display device 42.

The data stored in the collected data storage device 32 is converted by the data processing device 2 into predetermined graphs, tables, and the like as necessary,
2, and output to the printing device 43. In addition, the storage medium 6
Can be copied and taken out.

In the embodiment shown in FIG.
The same effect as in the embodiment shown in FIG.

[0029]

According to the equipment deterioration diagnosis apparatus, the equipment deterioration diagnosis method, and the recording medium of the present invention, an output signal of a component is input, the input signal is sampled at a predetermined time interval, and the sampled signal is sampled. Storing data corresponding to the signal, performing statistical processing on the stored data,
A predetermined limit value is calculated based on the tendency of the change in the statistically processed data, and a component failure is determined based on the stored data and a predetermined failure determination value, and the statistically processed data and the limit value are determined. Is used to determine the signs of component deterioration, so that it is possible to know the exact timing of component failure, and to purchase replacement parts according to the timing of failure, reducing maintenance costs. can do.

[Brief description of the drawings]

FIG. 1 is a block diagram illustrating a configuration example of an embodiment of an equipment deterioration diagnosis apparatus according to the present invention.

FIG. 2 is a block diagram showing a configuration example of another embodiment of the equipment deterioration diagnosis apparatus of the present invention.

[Explanation of symbols]

 REFERENCE SIGNS LIST 1 external input interface unit 2 data processing device 3 storage device 4 output device 6 recording medium 11 A / D conversion unit 12 input interface unit 31 parameter data storage device 32 collected data storage device 41 output interface unit 42 display display device 43 printing device

──────────────────────────────────────────────────続 き Continued on the front page (58) Field surveyed (Int. Cl. ⁷ , DB name) G05B 23/02 G05B 23/02 302 G08B 31/00

Claims (3)

(57) [Claims] 1. An equipment deterioration diagnosis apparatus for monitoring an operation state of a part constituting a predetermined equipment, predicting deterioration of the part, and detecting deterioration of the part, and an input means for inputting an output signal of the part. Sampling means for sampling the signal input by the input means at predetermined time intervals; storage means for storing data corresponding to the signal sampled by the sampling means; Statistical processing means for performing statistical processing on the data; calculating means for calculating a predetermined limit value based on a tendency of change of the data statistically processed by the statistical processing means; First determining means for determining a failure of the component based on the data and a predetermined failure determination value; Based the sense has been the data to the limit value, and a second determining means for determining a sign of the deterioration of parts, the first determination means is stored in said storage means and said
When the data exceeds the failure judgment value, the part has failed.
And the second determination means determines that the statistical processing has been performed.
When the processed data exceeds the limit value,
It is determined that this is a precursor of the deterioration of the part, and the determination result by the first determination unit and the second determination
Output means for outputting a determination result by the step, wherein the input means is provided for a certain period of time by the operation of the equipment component.
Digital corresponding to voltage signal whose voltage level changes at intervals
Input signal and stored in parameter data storage device
Only the digital signal selected based on the selected signal selection condition
Is transferred to the data processing device , and the data processing device transfers the
From the change of signal level to the change
Time is measured, and the measured time data is collected time data
Together with the collected data storage device, and stores the data in the parameter data storage device.
According to the stored parameter data, the prescribed spa
Read the data stored in the collected data storage
Statistical processing, and the resulting statistical data
Is stored in the collected data storage device and this statistical data
Data from the collected data storage device,
Data and store it in the collected data storage device.
The control device automatically calculates the control limit value from the trend management data.
An equipment deterioration diagnosis apparatus, which performs monitoring of trend management data . 2. An equipment deterioration diagnosis method for monitoring an operation state of a part constituting a predetermined equipment, predicting the deterioration of the part, and detecting the deterioration, wherein an input step of inputting an output signal of the part A sampling step of sampling the signal input in the input step at predetermined time intervals; a storage step of storing data corresponding to the signal sampled in the sampling step; A statistical processing step of performing statistical processing on the data; a calculating step of calculating a predetermined limit value based on a change tendency of the data statistically processed in the statistical processing step; Determining the failure of the component based on the data and a predetermined failure determination value A first determination step of performing the following: a second determination step of determining a precursor of deterioration of the component based on the data statistically processed in the statistical processing step and the limit value. Deterioration diagnosis method. 3. A recording medium on which a program capable of executing the equipment deterioration diagnosis method according to claim 2 is recorded.