JP2002236516A - Operation state monitor device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an operation state monitor device which can obtain precise information by properly setting sampling intervals. SOLUTION: This device is equipped with a sampling interval setting means 14 for setting time intervals for obtaining data from respective NC devices, a data receiving means 12 which receives data regarding the operation states of respective NC machine tools from the NC devices and measures the time needed to obtain the data each time the data are obtained, an operation data storage means 15 which stores the obtained data regarding the operation states by the NC machine tools, an acquisition time storage means 13 which stores the acquisition time measured by the data receiving means 12, and a data output means 18 which outputs the data stored in the operation data storage means 13 to the outside. The sampling interval setting means 14 is so constituted as to update the time intervals according to the past acquisition time stored in the acquistion time storage means 13.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a method for connecting a plurality of NC machine tools provided with an NC device to each of the NC devices,
The present invention relates to an operation status monitoring device that acquires data from the device and monitors the operation status of each NC machine tool.

[0002]

2. Description of the Related Art Conventionally, each NC device of a plurality of NC machine tools provided with an NC device and a management device are connected via a network such as a LAN, and each management device is connected to the NC device. Data such as a machining program and a machining plan is transmitted to the device, or data on the operation status is received from each of the NC devices on the management device side, and the operation status of each of the NC machine tools is centrally managed by the management device. And so on.

[0003] Conventionally, when data relating to the operation status is received from each NC device, the management device is configured to sample at regular time intervals and acquire data relating to the operation status from each NC device.

By the way, as described above, the network is usually used not only for acquiring data on the operation status but also for transmitting data such as machining programs and machining plans. Therefore, depending on the load state (congestion) of the network, it may take longer than usual to acquire the data on the operation status. For this reason, the conventional management device considers such a communication state,
The sampling interval is set to a sufficiently long time so that data can be reliably acquired even when the network is busy.

[0005] However, when the sampling interval is lengthened, there is a merit that data can be surely acquired. However, on the other hand, since the number of data to be acquired is reduced, accurate information cannot be obtained. there were.

The present invention has been made in view of the above circumstances, and it is an object of the present invention to provide an operation status monitoring apparatus capable of appropriately setting a sampling interval and obtaining accurate information.

[0007]

Means for Solving the Problems and Effects Thereof The invention described in claim 1 of the present invention for solving the above problems has the following features.
Connected to each of the plurality of NC machine tools provided with the C device, acquire data from each of the NC devices, and
C is an operation status monitoring device that monitors the operation status of the machine tool, comprising: a sampling interval setting unit that sets a time interval for acquiring data from each of the NC devices; and a time interval set by the sampling interval setting unit. Receiving data relating to the operation status of each of the NC machine tools from the NC device, and measuring the time required for acquisition each time data is acquired, and the operation acquired by the data acquisition means. Operating data storage means for storing data relating to the situation for each NC machine tool, acquisition time storage means for storing the acquisition time measured by the data acquisition means, and externally storing the data stored in the operation data storage means. And a data output unit for outputting to the sampling interval setting unit, wherein the sampling interval setting unit is stored by the acquisition time storage unit. Based on the acquisition time of the past that is, according to the operating status monitoring apparatus characterized by comprising configured to update the time intervals.

[0008] According to the operation status monitoring device of the present invention,
First, a time interval for acquiring data, that is, a sampling interval is set by the sampling interval setting means. Then, at every set time interval, data relating to the operation status of the NC machine tool is acquired from each NC device by the data acquisition unit, and the acquired operation data is stored in the operation data storage unit, and is stored in the operation data storage unit. The stored operation data is output to the outside as appropriate by the data output means. Thus, each NC by such output data
The operation status of the machine tool is confirmed.

The sampling interval is reset by the sampling interval setting means on the basis of the past acquisition time stored in the acquisition time storage means so as to be an appropriate time with a margin. Be updated. For example, a new sampling interval is calculated and updated by multiplying the longest time of the latest several acquisition times by a constant (for example, 1.2). Therefore, if the latest acquisition time tends to be longer, the sampling interval is updated accordingly to be longer, and if the latest acquisition time tends to be shorter,
Accordingly, the sampling interval is updated so as to be shorter. As a result, data can be reliably acquired at the shortest sampling interval, and highly accurate information can be acquired.

According to a second aspect of the present invention, in the first aspect of the present invention, the sampling interval setting means monitors a data acquisition state in the data acquisition means, and sets a time interval within the time interval. The operation status monitoring device is configured to reset the time interval to a time extended from a current time when data acquisition cannot be completed.

As described above, in the invention according to the first aspect, the sampling interval is set to a time that allows a margin, but depending on the degree of network congestion, data acquisition can still be performed within the set sampling interval. May not be completed, and if such a state in which data cannot be obtained continues, there is a problem that the obtained information becomes inaccurate. According to the present invention, when data acquisition cannot be completed within the sampling interval, the set sampling interval is reset to a time extended from the current time. Therefore, even if data acquisition cannot be completed due to an unexpected situation, the sampling interval is reset to an extended time from the current time, thereby immediately returning to a state where data acquisition can be completed. be able to. As a result, it is possible to prevent a state in which data cannot be obtained from continuing, and to obtain accurate information. After resetting, as described above, the sampling interval is updated based on the past acquisition time so that it becomes optimal.

According to a third aspect of the present invention, in accordance with the first or second aspect of the present invention, each N is determined based on the operation data stored by the operation data storage means.
C further comprising a cumulative time calculating means for calculating the cumulative time for the operating state of the machine tool; and a cumulative time storing means for storing the cumulative time data calculated by the cumulative time calculating means. The present invention relates to an operation status monitoring device configured to output the accumulated time data stored in the time storage means or the accumulated time data and the data stored in the operation data storage means to the outside.

According to the present invention, the cumulative time for the operating state of each NC machine tool calculated by the cumulative time calculating means and stored in the cumulative time storage means is output to the outside by the data output means. In this way, more detailed operation status of each NC machine tool can be confirmed from the output data.

[0014]

DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, specific embodiments of the present invention will be described with reference to the accompanying drawings. FIG. 1 is an explanatory diagram illustrating a schematic configuration of an operation status monitoring system according to an embodiment of the present invention, and FIG. 3 is a block diagram illustrating a schematic configuration of an operation status monitoring device according to the embodiment. . FIGS. 4 and 5 are flowcharts showing processing procedures in the sampling interval setting means of the present embodiment.

As shown in FIG. 1, an operation status monitoring system 1 of the present embodiment comprises an operation status monitoring device 10, a plurality of NC machine tools 2 provided with an NC device, the operation status monitoring device 10 and the NC It comprises a network 3 such as a LAN for interconnecting the machines 2.

As shown in FIG. 3, the operation status monitoring device 10 includes a data acquisition unit 12, an acquisition time storage unit 13, a sampling interval setting unit 14, an operation data storage unit 15, an accumulated time calculation / update unit. 16, a total time storage means 17, a display processing means 18, and the like. The display processing means 18 is connected to a display device 20 such as a CRT as an external device.

The data take-in means 12 is connected to the NC devices of the respective NC machine tools via the network 3, and acquires data relating to the operation status of the NC machine tools from the respective NC devices. The acquired data includes, for example, ON / OFF data of the main power supply and ON of the automatic operation.
/ OFF data, spindle rotation ON / OFF data,
Data on spindle speed and spindle motor load, alarm ON / OFF data, alarm number and alarm message data, coolant ON / OFF
OFF data. Note that the acquired data is not limited to these, and for example, ON / O of manual operation
FF data and the like can be added or reduced as needed.

The data acquisition means 12 accesses each of the NC devices at every sampling interval set by the sampling interval setting means 14 performing the processing described later, and acquires the above-mentioned operation data by a multitask method. I do. The data acquisition means 12 has a built-in clock, and stores the operation data in the operation data storage means 15 together with the time data at the time of acquiring the operation data. If all data cannot be acquired within the sampling interval, the data acquisition unit 12 does not store the acquired operation data in the operation data storage unit 15 but discards it.

The operation data storage means 15 comprises an A file 15a, a B file 15b, a C file 15c, a D file 15d, and an E file 15e, as shown in FIG. O
The FF data contains ON / OFF of automatic operation in the B file 15b.
The OFF data is data relating to the spindle in the C file 15c, that is, data relating to ON / OFF data of the spindle rotation, data relating to the spindle rotation speed and the load of the spindle motor, and the D file 15d is data relating to the alarm, ie, ON / OFF of the alarm. The OFF data, the alarm number, and the data relating to the alarm message are stored in the E file 15e. The coolant ON / OFF data is stored for each NC machine tool.

The data acquisition means 12 measures the time required for acquisition each time the operation data is acquired from each NC device, and stores the measured acquisition time in the acquisition time storage means 1.
3 is stored.

The sampling interval setting means 14 sequentially executes the processing shown in FIGS. 4 and 5, and sets the sampling interval used by the data acquisition means 12. still,
FIG. 4 shows a sampling interval setting process at an initial stage, and FIG. 5 shows a sampling interval updating process during operation of the system.

As shown in FIG. 4, in the sampling interval setting process in the initial stage, first, a command is issued to the data acquisition means 12 to cause the NC devices to acquire the operation data continuously for three minutes (step S1). ). When acquiring the operation data, the data acquisition unit 12 sequentially measures the time required for data acquisition, and stores the measured acquisition time in the acquisition time storage unit 13.

Next, the sampling interval setting means 14
The acquisition time stored in the acquisition time storage unit 13 is searched, the longest acquisition time is read out of the retrieval time, and a sampling interval is calculated by multiplying the longest acquisition time by, for example, 1.2 (step S1).

Next, the sampling interval setting means 14
Again, a command is issued to the data acquisition means 12, and the operation data is acquired from each NC device at each set sampling interval (step S2), and it is monitored whether or not all the operation data has been acquired at each sampling (step S2). Step S3). Then, if all operation data has been acquired within the set sampling interval, the sampling interval is set as an initial sampling interval (step S5). On the other hand, if all the operation data cannot be obtained, the current sampling interval is multiplied by 1.2 to obtain a new sampling interval (step S4), and the above steps S2 and S3 are executed again at this sampling interval. The process is repeated until a sampling interval at which all operation data can be acquired is obtained (steps S2, S3, S4), and the obtained sampling interval is set as an initial sampling interval (step S5).

As described above, the sampling interval in the initial stage before the system is continuously operated is set.

Next, a description will be given of a sampling interval updating process during operation of the system with reference to FIG. In this process, first, the acquisition time storage unit 13 is searched, and it is confirmed whether or not acquisition time data at the last five samplings is present (step S11). If data exists, the time obtained by multiplying the maximum value by 1.2 is reset as the next sampling interval to be used, and the data acquisition is performed at the reset sampling interval. The sampling interval used in the input unit 12 is updated (step S12).

After the sampling interval is updated, or when it is determined in step S11 that the past five acquisition time data does not exist, it is next determined whether or not to continue the processing (step S13). Capture means 12
Is monitored, and if all operation data has been acquired within the sampling interval, steps S11, S12, S
When the processing of step 13 is repeated and all the operation data cannot be acquired within the sampling interval, the process proceeds to the next step S15 (step S14). In step S15, again
Confirm whether to continue processing. Then, when the process is continued, the process of the data acquisition unit 12 is monitored again, and when all the operation data has been acquired within the sampling interval, the processes after step S11 are repeated.
If all operation data cannot be obtained within the sampling interval, the process proceeds to the next step S17 (step S1).
6).

In step S17, the time obtained by multiplying the currently set sampling interval by 1.2 is reset as the next sampling interval to be used, and the data acquisition is performed with the reset sampling interval. Means 12
Update the sampling interval used in. Then, after confirming whether or not to continue the process (step S18), if the process is to be continued, the process of the data acquisition unit 12 is monitored again, and all the operation data is acquired within the sampling interval. If so, the processing from step S11 is repeated, and if all the operation data cannot be obtained within the sampling interval, the processing from step S17 is repeated (step S19).

The steps S13, S15 and S1
In step 8, when the end of the process is confirmed, the process is ended.

As described above, in the sampling interval updating process during the operation of the system, based on the past data acquisition time,
A new sampling interval is reset, and the sampling interval used in the data acquisition unit 12 is updated each time with the set sampling interval. If acquisition of operation data cannot be completed twice consecutively in the data acquisition means 12, a new sampling interval that is an extension of the current sampling interval is reset, and data acquisition is performed at the set sampling interval. The sampling interval used in the embedding means 12 is updated. still,
If the acquisition of the operation data could not be completed twice consecutively, the sampling interval was updated because it was assumed that the data could not be acquired once due to extremely low frequency. Even in such a case, if the processing for increasing the sampling interval is performed, the amount of data to be originally obtained becomes small, and accurate information cannot be obtained. FIG. 2 illustrates the transition of the sampling interval updated in this manner.

The cumulative time calculating / updating means 16 performs a process of calculating the cumulative time of the operating state based on the data stored in the operating data storage means 15. As described above, the operation data storage unit 15 stores the time data at the time of acquiring the data together with the acquired operation data. Therefore, the total operating time can be calculated from these data. For example, the main power supply,
For each of the automatic operation, the spindle, the alarm, and the coolant, the total time during which they are ON and OFF is calculated. Then, the calculated cumulative time is stored in the cumulative time storage unit 17. The cumulative time calculating / updating means 16 calculates the cumulative time periodically or irregularly, and updates the data stored in the cumulative time storage means 17.

As shown in the figure, the total time storage means 17 stores an A total file 17a, a B total file 17b,
The file includes a C total file 17c, a D total file 17d, and an E total file 17e.
“a” indicates the total time of the main power supply and “B” total file 1
7b, the cumulative time for the automatic operation, the cumulative time for the spindle rotation in the cumulative C file 17c, the cumulative time for the alarm in the cumulative D file 17d, and the cumulative time for the coolant in the cumulative E file 17e. Are stored for each NC machine tool.

The display processing means 18 appropriately processes the data stored in the operation data storage means 15 and the data stored in the cumulative time storage means 17 based on the data and stores the display data. A process for displaying on the device 20 is performed. Specifically, for example, the screens shown in FIGS. 6 and 7 are displayed on the display device 20. FIG. 6 shows the time during which the main power is ON (energization time), the time during which the automatic operation is ON (operation time), the time during which the main shaft is ON (main shaft rotation time), and the time when the automatic operation is OFF. Is a graph of the total time for the time during which the alarm is ON (stop time), the time during which the alarm is ON (alarm generation time), and the time during which the coolant is ON (coolant discharge time). 7 shows these in a table.

According to the operation status monitoring system 1 of the present embodiment having the above-described configuration, data relating to the operation status of the NC machine tool is transmitted from each NC device connected via the network 3 by the data acquisition means 12. The operation data obtained at each sampling interval set by the sampling interval setting means 14 is stored in the operation data storage means. Further, based on the operation data stored in the operation data storage means 15, the cumulative time relating to the operating state is calculated by the cumulative time calculating / updating means 16, and the calculated cumulative time data is stored in the cumulative time storage means 17. Alternatively, the cumulative time data stored in the cumulative time storage unit 17 is updated with the calculated cumulative time data.

The sampling interval set by the sampling interval setting means 14 is initially set to a sufficient time based on the acquisition time obtained by performing the preliminary sampling. Is sequentially updated to a time set with an allowance based on the acquisition time. Further, when all the operation data cannot be acquired, the sampling interval at that time is updated to a new sampling interval.

As described above, according to the operation status monitoring apparatus 10 of the present embodiment, the sampling interval in the data acquisition means 12 is an appropriate time based on the past data acquisition time with a margin. Therefore, for example, if the latest data acquisition time tends to be longer, if the latest data acquisition time tends to be shorter, the sampling interval is updated accordingly. Is updated so as to shorten the sampling interval in accordance with. As a result, data can be acquired reliably and at the shortest sampling interval, and highly accurate information can be acquired.

Further, the sampling interval setting means 14
Monitoring the data acquisition status in the data acquisition means 12,
If all data cannot be acquired within the set sampling interval, the sampling interval is reset to an extended time from the current time, so data acquisition is completed due to an unexpected situation Even if an impossible case occurs, by resetting the sampling interval to a time extended from the current time, it is possible to immediately return to a state where data acquisition can be completed. As a result, it is possible to prevent a state in which data cannot be obtained from continuing, and to obtain accurate information. After resetting, as described above, the sampling interval is updated based on the past data acquisition time so that it becomes optimal.

As described above, one embodiment of the present invention has been described. However, specific embodiments that the present invention can take are not limited to this.

[Brief description of the drawings]

FIG. 1 is an explanatory diagram showing a schematic configuration of an operation status monitoring system according to an embodiment of the present invention.

FIG. 2 is a graph illustrating a transition of a sampling interval updated by a sampling interval setting unit of the embodiment.

FIG. 3 is a block diagram illustrating a schematic configuration of an operation status monitoring device according to the embodiment.

FIG. 4 is a flowchart showing a processing procedure in a sampling interval setting unit of the embodiment.

FIG. 5 is a flowchart showing a processing procedure in a sampling interval setting unit of the embodiment.

FIG. 6 is an explanatory diagram showing a display example on a display processing unit and a display device according to the embodiment.

FIG. 7 is an explanatory diagram illustrating a display example on a display processing unit and a display device according to the present embodiment.

[Explanation of symbols]

 REFERENCE SIGNS LIST 1 operation status monitoring system 2 NC machine tool 3 network 10 operation status monitoring device 12 data acquisition unit 13 acquisition time storage unit 14 sampling interval setting unit 15 operation data storage unit 16 cumulative time calculation / update unit 17 cumulative time storage unit 18 display Processing means 20 Display device

Claims (3)

[Claims] 1. An operation status monitoring device which is connected to each NC device of a plurality of NC machine tools having an NC device, acquires data from each NC device, and monitors the operation status of each NC machine tool. Sampling interval setting means for setting a time interval for acquiring data from each of the NC devices; and for each of the time intervals set by the sampling interval setting means, data relating to the operating status of each of the NC machine tools is transmitted to the NC. Data receiving means for receiving the data from the device and measuring the time required for data acquisition each time data is acquired, and operating data for storing the data on the operating status acquired by the data acquiring means for each NC machine tool Storage means; acquisition time storage means for storing the acquisition time measured by the data acquisition means; Data output means for outputting the obtained data to the outside, wherein the sampling interval setting means is configured to update the time interval based on a past acquisition time stored by the acquisition time storage means. An operation status monitoring device characterized in that: 2. The method according to claim 1, wherein the sampling interval setting unit monitors a data acquisition status in the data acquisition unit, and when the data acquisition cannot be completed within the time interval,
The operation status monitoring device according to claim 1, wherein the time interval is reset to a time extended from a current time. 3. A cumulative time calculating means for calculating a cumulative time of an operating state of each NC machine tool based on the operating data stored by the operating data storing means, and a cumulative time calculated by the cumulative time calculating means. A cumulative time storage means for storing time data, wherein the data output means externally outputs the cumulative time data stored in the cumulative time storage means or the cumulative time data and the data stored in the operation data storage means. The operation status monitoring device according to claim 1, wherein the operation status monitoring device is configured to output the operation status to a device.