KR20130107807A - Device and method for controling tools - Google Patents
Device and method for controling tools Download PDFInfo
- Publication number
- KR20130107807A KR20130107807A KR1020120029890A KR20120029890A KR20130107807A KR 20130107807 A KR20130107807 A KR 20130107807A KR 1020120029890 A KR1020120029890 A KR 1020120029890A KR 20120029890 A KR20120029890 A KR 20120029890A KR 20130107807 A KR20130107807 A KR 20130107807A
- Authority
- KR
- South Korea
- Prior art keywords
- life
- information
- parts
- management
- component
- Prior art date
Links
- 238000000034 method Methods 0.000 title claims abstract description 28
- 238000007726 management method Methods 0.000 claims abstract description 95
- 238000004458 analytical method Methods 0.000 claims abstract description 37
- 238000004364 calculation method Methods 0.000 claims abstract description 24
- 238000012545 processing Methods 0.000 claims abstract description 19
- 238000007689 inspection Methods 0.000 claims abstract description 11
- 238000012423 maintenance Methods 0.000 claims description 20
- 238000012937 correction Methods 0.000 claims description 12
- 238000003860 storage Methods 0.000 claims description 12
- 238000012544 monitoring process Methods 0.000 claims description 7
- 239000000463 material Substances 0.000 claims description 5
- 238000002360 preparation method Methods 0.000 claims description 4
- 238000003754 machining Methods 0.000 description 11
- 230000008569 process Effects 0.000 description 10
- 238000010586 diagram Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 230000008859 change Effects 0.000 description 3
- 238000007405 data analysis Methods 0.000 description 3
- 230000003449 preventive effect Effects 0.000 description 3
- 230000004044 response Effects 0.000 description 3
- 239000003638 chemical reducing agent Substances 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000032683 aging Effects 0.000 description 1
- 230000019771 cognition Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 238000005520 cutting process Methods 0.000 description 1
- 230000000593 degrading effect Effects 0.000 description 1
- 230000006866 deterioration Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/05—Programmable logic controllers, e.g. simulating logic interconnections of signals according to ladder diagrams or function charts
- G05B19/056—Programming the PLC
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/04—Manufacturing
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Tourism & Hospitality (AREA)
- Automation & Control Theory (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Game Theory and Decision Science (AREA)
- Manufacturing & Machinery (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Testing And Monitoring For Control Systems (AREA)
- General Factory Administration (AREA)
- Numerical Control (AREA)
Abstract
The present invention relates to a tool management apparatus and method, specifically, a tool management apparatus collects operation state information on a machine tool, a part including at least one component, and analyzes a control command from the operation state information on a part. Information collection and control unit to calculate the coefficient to correct the life calculation, operation status analysis for the part using the operation status information, operation amount analysis unit for extracting the influence factor of the life calculation for the part, life calculation for the part Calculate the operating life of the actual part by reflecting the coefficient to the influence factor of the operation, and the operation unit to determine the remaining life and the expected life from the operating life, and manage the replacement of parts and failure inspection through the prediction of the expected life And a parts management processing unit.
Description
TECHNICAL FIELD The present invention relates to a tool management apparatus and method, and more particularly, to a management apparatus and method for efficiently using a machining center through part life management of a tool machine of the machining center.
Machining centers refer to machine tools that are equipped with a plurality of machining tool machines to mechanically machine materials while automatically changing tools according to the required machining.
Machining centers are equipped with a machine cover that largely blocks the inside and outside of the machine and is equipped with safety devices, an automatic tool changer (ATC) that is equipped with a number of machining tools and changes tools automatically according to the process, and the tool is clamped. Spindle, a device for transmitting rotational force to the tool, a jig for fixing the material, a bed (BED) that supports various loads and loads, a column (COLUMN) for moving the spindle according to the machining position, It consists of an operating device that instructs the equipment by hand by hand, and a cross table that withstands the load during material processing and moves the column according to the processing position.
The conventional management of machine tool parts relies only on regular maintenance work performed during the machining period after installation of the machine tool, and therefore cannot immediately and effectively cope with failures due to unexpected life deterioration of parts.
For this reason, the downtime of the equipment causes the entire production activity to stop and cause significant productivity disruption. In addition, there is a fear that the lack of pre-preparation of parts will cause a huge loss in productivity.
Therefore, it is necessary to improve the productivity and reliability of the product by maintaining the equipment by the planned maintenance management of the machine tool, and thoroughly prevent and prepare before the problem caused by the failure.
The present invention has been made to solve the above problems, and through the preliminary maintenance management of important and consumable parts of the machine tool to prevent downtime of the equipment due to the breakage of parts and improve the productivity of the machining center There is a purpose.
Another object of the present invention is to provide a tool management method of a machining center that digitally manages parts based on operation data for each part, instead of the conventional analog part life management method.
The technical objects to be achieved by the present invention are not limited to the above-mentioned technical problems, and other technical subjects which are not mentioned can be clearly understood by those skilled in the art from the description of the present invention .
Tool management apparatus according to an embodiment of the present invention for achieving the above object is a machine tool including at least one component, collecting operating state information for the part, and by analyzing the control command from the operating state information An information collection and control unit for calculating a coefficient for correcting a life calculation for a part, an operation amount analysis unit for analyzing an operation amount for the part using the operation state information, and extracting an influence factor of the life calculation for the part ,
The calculation unit reflects the coefficient to the influence factor of the life calculation for the part to calculate the operating life according to the actual operation of the part, and calculates the remaining life and the expected life from the operating life, and through the notice of the expected life. And a parts management processing unit that performs management of replacement of parts and failure checks.
The information collection and control unit may select a component to be managed from the parts of the machine tool.
In an embodiment, the tool management apparatus of the present invention may include the average lifetime information, the operation state information, the analysis information of the operation amount, and the calculated parts of each component of the machine tool driving within a normal range under average operating conditions. The apparatus may further include a storage configured to store operating life information, remaining life, and expected life information of the.
In addition, the tool management device is an information providing unit for collecting the maintenance information of the machine tool including the operating life, remaining life, service life status information of the expected life, replacement notice information of the parts and history information of the failure check, the machine It may further include a display unit for displaying the maintenance information of the machine, and a part management processing unit for replacing the corresponding parts automatically or manually according to the maintenance information of the machine tool.
At this time, the maintenance information of the machine tool includes a digital manual of the replacement work of the parts. The information providing unit may provide a digital manual for the component in association with the component management processor.
The display unit may display the life status information, a setting date, a replacement date of a part according to the expected life, a replacement notice alarm, history information of a failure check, and initialization information indicating whether to reset data, but the display contents are not limited. Do not.
The information collection and control unit may analyze the control command and calculate the correction coefficients using control programs of NC, PLC, and PMC.
The operation amount analysis unit may analyze the operation amount of the component in response to the driving step of the machine tool in the operation preparation step, the standby step, the idle operation step, the material processing step, and the stop step.
Tool management method according to an embodiment of the present invention for achieving the above object is selected from the parts of the machine tool including at least one component, the management target part, to investigate or calculate the standard life for the selected parts Collecting operating state information of the part and analyzing operating amount and control command of the part from the operating state information, calculating operating life of the part, calculating a ratio of the operating life to the standard life. Generating a service life status data, and generating parts management data including the service life status data, replacement notice information of the parts, and history information of a failure check, automatically or manually according to the parts management data; Performing the replacement and management of the.
In the generating of the part management data, a digital manual of a replacement operation of the part may be obtained and a digital manual for the part may be added.
At this time, the operation amount analysis of the parts and the history information of the failure check is characterized in that obtained by performing a real-time monitoring of the parts.
According to the present invention, it is possible to efficiently maintain and maintain the machining center by knowing in advance the actual life expectancy of the important parts and consumable parts of the machine tool of the machining center and preliminarily preserving and checking the parts according to the life expectancy of the parts. have.
As a result, the productivity of the machining line can be improved and kept high by diagnosing and preventing failure conditions caused by the lifespan of components of the machining center in advance.
On the other hand, by enabling the horizontal development of the display screen and parts management in the form of a smart module, there is an effect of automatically managing the history of parts replacement and preventive maintenance, and improve the durability and productivity of the facility.
1 is a block diagram illustrating a tool management apparatus of a machining center according to an embodiment of the present invention.
FIG. 2 is a block diagram illustrating a configuration in which a service life state of each part is calculated in the tool management device of the machining center of FIG. 1.
3 is a view showing an example displayed on a display unit of a tool management device of the machining center of FIG.
4 is a flow chart showing a process of the tool management method of the machining center according to an embodiment of the present invention.
FIG. 5 is a flowchart specifically illustrating a step of generating parts management data during the process of FIG. 4; FIG.
Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings, which will be readily apparent to those skilled in the art to which the present invention pertains. The present invention may be embodied in many different forms and is not limited to the embodiments described herein.
In addition, in the various embodiments, components having the same configuration will be representatively described in the first embodiment using the same reference numerals, and in other embodiments, only the configuration different from the first embodiment will be described.
In order to clearly illustrate the present invention, parts not related to the description are omitted, and the same or similar components are denoted by the same reference numerals throughout the specification.
Throughout the specification, when a part is referred to as being "connected" to another part, it includes not only "directly connected" but also "electrically connected" with another part in between . Also, when an element is referred to as "comprising ", it means that it can include other elements as well, without departing from the other elements unless specifically stated otherwise.
1 is a block diagram illustrating a tool management apparatus of a machining center according to an exemplary embodiment of the present disclosure.
Referring to FIG. 1, the
First, the
For example, in the case of a machining center, a plurality of parts (11 to n) of the machine tool is associated with the feed system, such as collet, spring, bearing, motor part, rotary joint, ball screw, linear guide, Tool bearings, such as support bearings, belts, couplings, etc., such as gear reducers, chains and tool ports, cam units, change arms, etc., such as slide covers, autodoors, etc., as mechanical moving parts, cylinders, valves, tanks, pumps, etc. The rotary table is a worm, a worm heel, a brake, a seal, and the like, a feed motor that is an angular server motor, and a sensor, a pressure sensor, a proximity sensor, a limiter switch, a control component, and an electric component.
Each of the plurality of
In the present invention, the equipment refers to the configuration of related components for performing a certain operation for each function. In addition, in the present invention, the machine tool may be defined as an aggregate that constitutes at least one or more of the equipment to produce a predetermined product or result.
In the present invention, the part is to refer to the minimum unit machine constituting the machine tool or equipment and capable of performing a predetermined machining on the target member.
The information collection and
In addition, the information collection and
Here, the operation status information is information monitored for each component or individual parts of the machine tool. For example, operating conditions for each component for processing the target member, load type and load fluctuation state information imposed on the component, and failure for the component. It may refer to operating data such as history information on inspection, maintenance, and maintenance, component characteristics, endurance, frequency of use, and time of use.
In addition, the information collection and
In FIG. 1, the operation
In response to the selected part included in the equipment, the operation
The operation state information according to the control program output from the information collection and
On the other hand, the
Here, the standard life refers to the time or number of years that the parts are kept in the normal range when each component operates under the average operating conditions for the operating factors such as temperature, humidity, load, and load conditions.
The
In particular, the average life data DataSL is transmitted to the
The
Parts management data is data for maintenance of parts such as standard life for each part, durability life according to actual operating conditions, remaining life, inspection history, etc. A detailed process of calculating part management data will be described with reference to FIG. 2.
The
The count life calculated by the
This count life is affected by correction coefficients obtained from control command values such as NC, PLC, PMC, etc. corresponding to the actual operation state information.
In addition, the
The
That is, the
As an example, a display example of parts-specific management data transmitted to and displayed on the
Referring to Fig. 3, the part name B selected according to the serial number A is disclosed. The service life status data (C) is displayed in a chart according to each component. The service life status data (C) sets the total length to the standard life of each part and displays the ratio of the endurance life (count life) of each part calculated based on the actual operating state information. Unlike FIG. 3, the ratio of the count life to the standard life can be numerically displayed more accurately.
In addition, the
The setting date (D) indicates the date of calculating the service life according to the operation state according to the parts, and the expected life completion date (E) indicates the date when the life of the parts is completed based on each remaining life. The notice F may also display a message warning that the part should be replaced within a predetermined time before the end of the life of the part arrives. According to the embodiment, the warning message is displayed on the notice F and the alarm setting can be made at the same time.
In addition, the history G may display a history of failure checking for each component. According to an embodiment, it may be displayed simply whether there is a check within a predetermined period, or the last inspection date or the last part replacement date may be displayed.
In addition, in the initialization (H), it is possible to display a case where the part management data is newly reset after performing part management such as replacement processing for each part. According to an exemplary embodiment, the present invention is not limited to displaying only whether to perform initialization, but may be replaced by means for inputting an initialization command for the management data of the component.
The display of the parts management data of the
Returning to the configuration of the tool management apparatus of FIG. 1 again, the
The
As a specific example, the part
On the other hand, the
FIG. 2 is a block diagram mainly showing a configuration in which a service life state of each part is calculated in the
The main configuration for calculating the service life status according to the component selected as the management target among the configuration of the
In more detail, the information collection and
Then, control commands corresponding to the operation of each part are analyzed by using control programs such as NC, PLC, and PMC. Through analysis of the control command, it is possible to obtain a correction coefficient used for calculating the service life in response to an operating condition such as a variation state of a load amount and cutting conditions imposed on the operation of the actual equipment.
In some cases, the user can preset the operating conditions of some equipment of the machine tool of the machining center, and in this case, the correction factor can be obtained to calculate the actual count life through the analysis of the control command according to the set operating conditions. .
In this case, the correction coefficient refers to a variable that is corrected in consideration of the influence of the actual operating condition and operation state information in addition to the representative variables of the life calculation when calculating the count life for each part.
On the other hand, the operation
2 exemplarily illustrates data analyzed from operation state information of a corresponding equipment in order to assume one piece of equipment and calculate a durability life of a component included in the corresponding piece of equipment. That is, the variable of time is extracted for each driving stage, and the rotation time and the rotation speed of the spindle are analyzed in the idling stage. In the processing stage of the equipment, the movement time and the movement speed of each of the X, Y, and Z axes are extracted, and the rotation speed and number of rotations of the table, the number of operation of the automatic equipment changer (ATC), the rotation time and rotation of the magazine Analyze variables such as count.
The calculation of the variables of time and speed may be defined as operation amount analysis data. The operation
For example, it is possible to extract an element of the use time that affects the count life of the drive switch, the pneumatic product, and the electronic device from the time of the operation waiting phase.
In addition, it is possible to extract variables of count life calculation of components such as spindle bearings and rotary joints through the rotation time or rotation speed of the spindle.
Factors such as ball screw, LM guide, support bearing, etc. on the life of parts, such as ball screw, LM guide, support bearing, index from the number of rotations and rotation time of the table Factors affecting life can be extracted. From the number of operations of the automatic machine changer (ATC) to the life of parts such as camboxes, toolports, spindle collets and springs, and from the rotation time and number of revolutions of the magazine to the life of parts such as reducers, magazine chains and cylinders. Influence factor can be extracted.
Meanwhile, the count life of the part is calculated by using the correction coefficients calculated by the information collection and
The operation amount analysis data is calculated based on the equipment composed of parts, but may be applied to the operation amount of each component of the equipment.
The main variables and correction coefficients for calculating the count life of each part are different depending on the calculation formula and operating conditions or actual operating conditions, so they cannot be collectively represented.However, the actual operation time or the number of operation times of each part can be calculated by multiplying the correction coefficients. Can be. Here, the actual running time or the actual running number is the main variable in calculating the count life of the part.
For example, the main variables of count life of MCC spindle (bearing) parts and count life of rotary joints, linear guides, pneumatic products (belts, cylinders), sensors, control parts, electrical parts, etc. And a count lifetime is reflected by the correction coefficient calculated by the
As another example, parts such as collets, springs (drawbars), and unclamper cylinders have a main variable frequency of use, and parts such as ball screws have a main variable of rotational frequency, so that these variables reflect a correction factor. Calculate count life.
On the other hand, the
The service life of the part may be expressed as a percentage of the count life to the standard life. Therefore, by calculating the service life status of the parts, it is possible to grasp the remaining service life under the actual operating conditions or the actual operating conditions compared to the standard life. The expected life of replacement of the part can be determined from the remaining life. In the present invention, the remaining life of a part may be defined as a period in which the part is actually driven as a limit value of the count life at a standard life. In addition, the life expectancy is a period during which the corresponding parts are driven within a normal operating range, and refers to the lifespan until the time to be replaced for safe operation of the machine tool.
Therefore, the expected life can be set from the remaining life, and the parts management can be performed in the form of replacement or inspection for the parts that have reached the set expected life.
4 is a flowchart illustrating a tool management method of a machining center according to an exemplary embodiment of the present invention.
First, the management target part of the machine tool is selected (S1). As described above, the component to be managed may be selected from a plurality of components constituting the equipment included in the machining center.
Then, the service life of each of the selected parts to be managed is investigated or the factors influencing the service life are calculated (S2). At this time, the life of the component to be managed is a standard life and refers to the life when operated under a predetermined average operating condition (operation condition) under a predetermined average environmental condition.
This standard life can be organized by table for each component and stored in the storage of the tool management device of the machine tool.
Part management data is generated based on the standard life table of the parts calculated in the step S2 (S3). In detail, the parts management data may extract parts affected by the life of each component of the data analysis by analyzing the operation amount data based on the current operating conditions and the operation state information of each part. The actual count life is calculated by reflecting the factors of the operation amount data analysis for each part. The ratio of the current count life to the standard life of the part can then be calculated, and the remaining life and the expected life of the part can be determined to prevent the part's failure from being diagnosed and to provide accurate maintenance of the equipment.
Specifically, the process of S3 is shown in FIG.
That is, the operation state of the machine tool is collected, and the control unit obtains the operation condition of each equipment or part of the machine tool from the operation state (S31).
The operation state information and the operation conditions are used to analyze the operation amount of each part (S32). The operation amount analysis for each part may analyze the operation of the equipment or the operation of individual components, and the operation amount data analysis may be analyzed by factors such as the operation time, the number of operations, and the speed of the corresponding equipment or component according to the driving stage.
Since the parts affected by the life are determined by the factors derived through the operation amount analysis in step S32, the count life of the current operating state is calculated for each part (S33). Since the analysis of the operation amount of the machine tool according to the current operation state is reflected in various loads, load change state, aging degree, etc. related to the current operation conditions, the count life of each part through the operation amount analysis is different from the standard life, the actual operation state And driving conditions are reflected.
Once the count life is calculated, the service life status data for each part is calculated (S34), and the standard life data for each part calculated in step S2 of FIG. 4 is used together.
The service life status data first calculates the ratio of the count life to the standard life for each part, and includes the remaining and estimated life of each part calculated therefrom. The life expectancy is not the remaining life until the actual operation of the component is stopped, but the remaining life until the time when the replacement is necessary because it cannot operate in the normal range.
And based on the service life status data for the parts calculated in step S34 to predict and predict the life expectancy for each part (S35). At this time, the service life status data or the life expectancy and notice indication for each part are automatically or manually displayed to the user, so that the user can perform the process of replacing parts, checking failures, and repairing according to the life expectancy of the parts. Information displayed on the user may include information on the service life of each part, as well as replacement time, inspection period, and inspection status data for each part.
In addition to the process of generating the parts management data, real-time operation state information may be provided by performing monitoring on each part in real time in step S36. The information of each monitored part may include information such as part replacement time and history of failure check (S37). These monitoring information may be collected as part management data at step S35 and used to process and manage parts. have.
Returning to the flow chart of FIG. 4, the parts management data is collected and sorted such as a replacement date, standard life, count life, remaining life, estimated life, inspection history management information, etc., for the endurance life registration and the scheduled replacement date of the parts. Through the process is provided as preventive check information of the part (S4).
In operation S3 of generating part management data, the maintenance information of the machine tool is provided through a step S7 of linking with a digital manual acquired through monitoring of parts (S5).
At this time, the maintenance information of the machine tool is added to the preventive inspection information, the information on the management method such as the characteristics, handling method, replacement method of each component acquired through the digital manual. The maintenance information of the machine tool does not depend on the subjective factors of the user's cognition ability and understanding level, and the management information of each part is easily obtained through the digital manual, and the user can easily identify the parts to be replaced. And exchange it. Therefore, it is possible to prevent accidental failure for each part in advance and improve the operation rate of the facility (S6).
It is to be understood that both the foregoing general description and the following detailed description of the present invention are illustrative and explanatory only and are intended to be illustrative of the invention and are not to be construed as limiting the scope of the invention as defined by the appended claims. It is not. Therefore, those skilled in the art can readily select and substitute it. Those skilled in the art will also appreciate that some of the components described herein can be omitted without degrading performance or adding components to improve performance. In addition, those skilled in the art may change the order of the method steps described herein depending on the process environment or equipment. Therefore, the scope of the present invention should be determined by the appended claims and equivalents thereof, not by the embodiments described.
1: Tool management device 10: Machine tool
20: information collection and control unit 30: operation amount analysis unit
40: storage unit 50: arithmetic unit
60: information providing unit 70: display unit
80: parts management processor
Claims (11)
An information collection and control unit for collecting driving state information about the part and calculating a coefficient for correcting a life calculation for the part by analyzing a control command from the driving state information;
An operation amount analysis unit for analyzing an operation amount of the part by using the operation state information, and extracting an influence factor of a life calculation of the part;
An operation unit that calculates the operating life time according to the operation of the actual part by reflecting the coefficient in the influence factor of the life calculation for the part, and determines the remaining life and the expected life from the operating life time, and
And a parts management processing unit which performs management of replacement and failure check of the parts through the notice of the expected life.
And the information collection and control unit selects a component to be managed from the parts of the machine tool.
The tool management device may include: average life information of each component of the machine tool driven within a normal range under average driving conditions, the operation state information, analysis information of the operation amount, operation life information of the calculated parts, remaining life and The tool management device further comprises a storage unit for storing the expected life information.
The tool management device includes an information providing unit that collects maintenance information of a machine tool including information on the service life of the operating life, the remaining life, the expected life, replacement notice information of the parts, and history information of the failure check;
A display unit displaying maintenance information of the machine tool, and
And a part management processing unit which automatically or manually replaces the corresponding parts according to the maintenance information of the machine tool.
The maintenance information of the machine tool includes a digital manual of replacement work of the parts,
And the information providing unit provides a digital manual for the component in association with the component management processor.
And the display unit displays the life status information, a setting date, a replacement date of a part according to the expected life, a replacement notice alarm, history information of a failure check, and initialization information indicating whether to reset data.
And the information collection and control unit analyzes the control command and calculates the correction coefficients using control programs of NC, PLC, and PMC.
The operation amount analysis unit, the tool management device, characterized in that for analyzing the operation amount for the component corresponding to the driving step of the machine tool of the operation preparation step, standby step, idle operation step, material processing step, stop step.
Investigating or calculating a standard life for the selected component,
Collecting operating state information of the component and analyzing the operating amount and control command of the component from the operating state information to calculate the operating life of the component,
Calculating a ratio of the operating life to the standard life to generate service life status data, and generating parts management data including the service life status data, replacement notice information of the parts, and history information of failure inspection;
And performing replacement and management of the corresponding parts automatically or manually according to the parts management data.
In the step of generating the part management data, the tool management method, characterized in that for obtaining a digital manual of the replacement operation of the part and adding a digital manual for the part.
Tool management method, characterized in that the analysis of the operation amount of the part and the history information of the failure check is obtained by performing a real-time monitoring of the part.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| KR1020120029890A KR20130107807A (en) | 2012-03-23 | 2012-03-23 | Device and method for controling tools |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| KR1020120029890A KR20130107807A (en) | 2012-03-23 | 2012-03-23 | Device and method for controling tools |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| KR20130107807A true KR20130107807A (en) | 2013-10-02 |
Family
ID=49631046
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| KR1020120029890A KR20130107807A (en) | 2012-03-23 | 2012-03-23 | Device and method for controling tools |
Country Status (1)
| Country | Link |
|---|---|
| KR (1) | KR20130107807A (en) |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20170031906A (en) | 2015-09-14 | 2017-03-22 | 서강대학교산학협력단 | Prediction method of wear and life of press tool using wear model |
| KR20180078854A (en) * | 2016-12-30 | 2018-07-10 | 동양대학교 산학협력단 | Accident prevention system and preventive method of water distribution facility |
| KR20210044426A (en) | 2019-10-15 | 2021-04-23 | 한국항공우주산업 주식회사 | Preliminary test method of auto machine tool apparatus |
| KR20210100427A (en) * | 2020-02-06 | 2021-08-17 | 한국기계연구원 | Field Data Based Equipment Life Prediction System and Prediction Method of the Same |
| KR20210100819A (en) * | 2020-02-07 | 2021-08-18 | 한국항공대학교산학협력단 | Virtual lifetime data generation apparatus based on mutual similarity between data and method thereof |
| CN114047733A (en) * | 2021-11-15 | 2022-02-15 | 界首市粮食机械有限责任公司 | Safety control system based on flexible production line of bearing roller |
| KR20220089451A (en) * | 2020-12-21 | 2022-06-28 | 주식회사 포스코 | Monitoring apparatus for motor |
| KR20220148496A (en) * | 2021-04-29 | 2022-11-07 | 주식회사 케이씨 | Pre-warning system for expected life time of gas supply equipment and Control method thereof |
| KR102469177B1 (en) | 2021-12-15 | 2022-11-22 | 안성민 | Tool management system and method with optimal method according to operating state using artificial intelligence |
| KR102475291B1 (en) * | 2021-10-21 | 2022-12-08 | 가온플랫폼 주식회사 | Method and system for calculating the optimal time for asset maintenance and management through the facility residual life prediction algorithm |
| CN116643536A (en) * | 2023-07-27 | 2023-08-25 | 中科航迈数控软件(深圳)有限公司 | Method and device for monitoring working state of equipment, electronic equipment and medium |
-
2012
- 2012-03-23 KR KR1020120029890A patent/KR20130107807A/en not_active Application Discontinuation
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20170031906A (en) | 2015-09-14 | 2017-03-22 | 서강대학교산학협력단 | Prediction method of wear and life of press tool using wear model |
| KR20180078854A (en) * | 2016-12-30 | 2018-07-10 | 동양대학교 산학협력단 | Accident prevention system and preventive method of water distribution facility |
| KR20210044426A (en) | 2019-10-15 | 2021-04-23 | 한국항공우주산업 주식회사 | Preliminary test method of auto machine tool apparatus |
| KR20210100427A (en) * | 2020-02-06 | 2021-08-17 | 한국기계연구원 | Field Data Based Equipment Life Prediction System and Prediction Method of the Same |
| KR20210100819A (en) * | 2020-02-07 | 2021-08-18 | 한국항공대학교산학협력단 | Virtual lifetime data generation apparatus based on mutual similarity between data and method thereof |
| KR20220089451A (en) * | 2020-12-21 | 2022-06-28 | 주식회사 포스코 | Monitoring apparatus for motor |
| KR20220148496A (en) * | 2021-04-29 | 2022-11-07 | 주식회사 케이씨 | Pre-warning system for expected life time of gas supply equipment and Control method thereof |
| KR102475291B1 (en) * | 2021-10-21 | 2022-12-08 | 가온플랫폼 주식회사 | Method and system for calculating the optimal time for asset maintenance and management through the facility residual life prediction algorithm |
| CN114047733A (en) * | 2021-11-15 | 2022-02-15 | 界首市粮食机械有限责任公司 | Safety control system based on flexible production line of bearing roller |
| CN114047733B (en) * | 2021-11-15 | 2023-12-29 | 界首市粮食机械有限责任公司 | Safety control system based on flexible production line of bearing roller |
| KR102469177B1 (en) | 2021-12-15 | 2022-11-22 | 안성민 | Tool management system and method with optimal method according to operating state using artificial intelligence |
| CN116643536A (en) * | 2023-07-27 | 2023-08-25 | 中科航迈数控软件(深圳)有限公司 | Method and device for monitoring working state of equipment, electronic equipment and medium |
| CN116643536B (en) * | 2023-07-27 | 2023-10-27 | 中科航迈数控软件(深圳)有限公司 | Method and device for monitoring working state of equipment, electronic equipment and medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| KR20130107807A (en) | Device and method for controling tools | |
| CN110347124B (en) | Diagnostic service system and diagnostic method using network | |
| KR20200074652A (en) | Apparatus for Managing Smart Factory Data and Providing Platform Services | |
| JP3780508B2 (en) | Machine tool abnormality diagnosis apparatus, abnormality diagnosis method, and abnormality diagnosis program | |
| EP2035208B1 (en) | Preventative maintenance system | |
| US20200061768A1 (en) | Information processing method, information processing system, and information processing device | |
| JP6517780B2 (en) | Valve prediction for polymer parts based on accelerated aging test method | |
| JP4763593B2 (en) | System, method and control unit for providing remote diagnosis and maintenance services to a process plant | |
| CA2804535C (en) | Monitoring and diagnostic system for a fluid energy machine system and fluid energy machine system | |
| US20150051728A1 (en) | Detecting method of abnormality of machine tool operation | |
| CN107614217B (en) | Fault diagnosis device and fault diagnosis method | |
| Wang et al. | Early failure analysis of machining centers: a case study | |
| TWI603826B (en) | Robot maintenance support device and method | |
| US20170185970A1 (en) | Preventive maintenance management system and method for generating maintenance schedule of machine, and cell controller | |
| JP2003177815A (en) | Maintenance system for industrial machine | |
| WO2007143856A1 (en) | Preventative maintenance update system | |
| JP6730441B2 (en) | Data storage device and system | |
| WO2007143857A1 (en) | Preventative maintenance indicator system | |
| GB2454574A (en) | Image processing of apparatus condition | |
| CN112415947A (en) | CNC machine tool data acquisition and management method and system based on DTU equipment | |
| US6904388B2 (en) | Method for preventing or minimizing operational failures in a technical installation | |
| Siddhartha et al. | IoT enabled real-time availability and condition monitoring of CNC machines | |
| KR20160019119A (en) | Stage monitoring and diagnosis system, stage apparatus and manufacturing, measuring and inspecting equipment | |
| KR102397267B1 (en) | Robot maintenance assist device and method | |
| Uhlmann et al. | Monitoring of slowly progressing deterioration of computer numerical control machine axes |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| A201 | Request for examination | ||
| E902 | Notification of reason for refusal | ||
| E601 | Decision to refuse application |