CN113011653A - Cutter management method, system and computer readable storage medium - Google Patents
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Abstract
The embodiment of the invention provides a cutter management method, a system and a computer readable storage medium, wherein the cutter management method comprises the following steps: acquiring basic information of a machine platform and basic information of a cutter; the basic information of the cutter comprises the standard life and the service life of the cutter; obtaining the residual service life of the cutter according to the standard service life of the cutter and the service life of the cutter; and analyzing the big data through intelligent operation logic according to the residual service life of the cutter, and predicting the cutter backup data. Embodiments of the present invention provide a method and a system for managing a tool, and a computer-readable storage medium, so that a tool needs to be replaced in a next time period in advance in a current time period, thereby ensuring stable supply of the tool, reducing inventory of the tool, improving accuracy of tool-backup data of the tool, and improving production efficiency.
Description
Technical Field
The present invention relates to a tool management technology, and in particular, to a tool management method, system and computer readable storage medium.
Background
The traditional CNC (computer Numerical Control) cutter adopts a rough type mode, and besides the cutter breaking is detected by a cutter gauge through the experience of a technician and timing, the wear condition of the cutter is also evaluated by an empirical value.
In the conventional cutter management process, the inventory is large, and the cutter cost is high. When the management system manages the tools, the spare tool data cannot be sent to each department to prepare the tools, which causes inaccuracy of spare tools, large turnover of tool magazine stock, overstocking of a large amount of tool cost, high error rate of manual statistics and influence on production efficiency.
Disclosure of Invention
Embodiments of the present invention provide a method and a system for managing a tool, and a computer-readable storage medium, so that a tool that needs to be replaced in a next time period is prepared in advance in a current time period, thereby ensuring stable supply of the tool, reducing inventory of the tool, improving accuracy of tool preparation data of the tool, and improving production efficiency.
In a first aspect, an embodiment of the present invention provides a tool management method, including:
acquiring basic information of a machine platform and basic information of a cutter; the basic information of the cutter comprises the standard service life and the service life of the cutter;
obtaining the residual service life of the cutter according to the standard service life of the cutter and the service life of the cutter;
and analyzing the big data through intelligent operation logic according to the residual service life of the cutter, and predicting the cutter backup data.
Optionally, the obtaining basic information of the machine and basic information of the tool includes:
acquiring basic information of the machine, wherein the basic information of the machine comprises a macro variable address of the machine;
and acquiring the standard service life of the cutter and the service life of the cutter according to the macro variable address of the machine station.
Optionally, before obtaining the basic information of the machine and the basic information of the tool, the method further includes:
and importing a tool list and basic information of production arrangement.
Optionally, according to the remaining life of the tool, analyzing big data through an intelligent operation logic to predict tool backup data, including:
obtaining the predicted tool changing time of the tool according to the residual service life of the tool;
acquiring the basic information of the machine and the basic information of the cutter corresponding to the cutter with the cutter changing time falling in the next time period according to the estimated cutter changing time of the cutter and a preset time point in the current time period;
and predicting backup cutter data.
Optionally, the predicted tool change time is a ratio of tool life to hourly production.
Optionally, after analyzing the big data through the intelligent operation logic according to the remaining life of the tool and predicting the tool backup data, the method further includes:
and presenting the basic information of the machine station and the basic information of the cutter which need to be changed within a preset time length.
Optionally, the preset length of time comprises 6 hours, 8 hours or 12 hours.
Optionally, after analyzing the big data through the intelligent operation logic according to the remaining life of the tool and predicting the tool backup data, the method further includes:
a backup dataform is provided.
In a second aspect, an embodiment of the present invention provides a tool management system, including at least one machine and a processing device; the processing equipment is connected with the at least one machine, and the processing equipment comprises:
one or more processors;
a memory for storing one or more programs;
when the one or more programs are executed by the one or more processors, the one or more processors implement the tool management method according to the first aspect for each machine.
In a third aspect, an embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the computer program implements the tool management method according to the first aspect.
According to the cutter management method provided by the embodiment of the invention, basic information of a machine table and basic information of a cutter are obtained, the residual life of the cutter is obtained according to the standard life of the cutter and the service life of the cutter, and big data are analyzed through intelligent operation logic according to the residual life of the cutter to predict cutter backup data. Therefore, in the current time period, according to the basic information of the machine table and the basic information of the cutters in the current time period, which cutters need to be replaced in the next time period is predicted, so that the cutters which need to be replaced in the next time period are prepared in advance in the current time period, the stable supply of the cutters is guaranteed, the inventory of the cutters is reduced, the accuracy of the cutter preparation data of the cutters is improved, and the production efficiency is improved.
Drawings
Fig. 1 is a flowchart of a tool management method according to an embodiment of the present invention;
FIG. 2 is a flow chart of another tool management method according to an embodiment of the present invention;
FIG. 3 is a flow chart of another tool management method according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of a tool management system according to an embodiment of the present invention;
fig. 5 is a schematic view of the structure of a processing apparatus of the tool management system shown in fig. 4.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It is to be further noted that, for the convenience of description, only a part of the structure relating to the present invention is shown in the drawings, not the whole structure.
Fig. 1 is a flowchart of a tool management method according to an embodiment of the present invention, where the method may be executed by a processing device in a tool management system according to an embodiment of the present invention, and the processing device may be implemented in software and/or hardware. As shown in fig. 1, the method specifically includes the following steps:
s101, acquiring basic information of a machine table and basic information of a cutter; the basic information of the cutter comprises the standard service life and the service life of the cutter.
The basic information of the machine is the basic information of the machine, and the basic information of the machine may include, for example, the number of the machine, the placement floor of the machine, the type of the machine, and the like. The basic information of the cutter is basic information of the cutter, and the basic information of the cutter comprises the standard service life of the cutter and the service life of the cutter. One or more cutters can be arranged on each machine table, and the cutters on the same machine table can be of the same type or different types. Different machines can have different machine numbers to distinguish different machines. Different cutters on the same machine can have different cutter numbers, and different cutters on different machines can have different cutter numbers, so that different cutters can be distinguished.
The standard service life of the cutter is the predicted service life of the cutter, the standard service life of the cutter can be a preset fixed value, and the standard service life of the cutter can be kept unchanged in the cutter management process or manually adjusted at intervals. In another embodiment, the standard life of the tool may also be a dynamic value that can be dynamically adjusted, and the standard life of the tool may be dynamically adjusted according to the actual service lives of a plurality of tools of the same type. The service life of the cutter is the actual service life of the cutter.
And S102, obtaining the residual service life of the cutter according to the standard service life and the service life of the cutter.
In the step, the residual life of the cutter can be calculated according to the standard life of the cutter and the service life of the cutter. For example, the difference between the standard life of the tool and the useful life of the tool may be used as the remaining life of the tool. Or, the ratio of the standard service life of the tool to the service life of the tool can be used as the residual service life of the tool.
And S103, analyzing big data through intelligent operation logic according to the residual service life of the cutter, and predicting the cutter backup data.
In this step, on the basis that the remaining life of the tool has been obtained in step S102, it is predicted whether each tool needs to be replaced in the next time period at a preset time point in the current time period according to the remaining life of the tool, and for the tool that needs to be replaced in the next time period, the tool may be prepared in advance in the current time period. For the cutter which does not need to be replaced in the next time period, the cutter does not need to be prepared in advance in the current time period. The predicted spare tool data is a predicted value of the spare tool data, that is, a sum of information about the tools expected to need the spare tool.
According to the cutter management method provided by the embodiment of the invention, basic information of a machine table and basic information of a cutter are obtained, the residual life of the cutter is obtained according to the standard life of the cutter and the service life of the cutter, and big data are analyzed through intelligent operation logic according to the residual life of the cutter to predict cutter backup data. Therefore, in the current time period, according to the basic information of the machine table and the basic information of the cutters in the current time period, which cutters need to be replaced in the next time period is predicted, so that the cutters which need to be replaced in the next time period are prepared in advance in the current time period, the stable supply of the cutters is guaranteed, the inventory of the cutters is reduced, the accuracy of the cutter preparation data of the cutters is improved, and the production efficiency is improved.
Fig. 2 is a flowchart of another tool management method according to an embodiment of the present invention, and referring to fig. 2, the tool management method includes:
s201, importing a cutter list and basic information of production and arrangement.
The tool list may include basic information of tools on all machines. The production scheduling basic information may include information such as the name, process, and machine number of the product produced by the machine. After the cutter list and the basic information of production arrangement are imported, the data of the name, the manufacturing procedure, the machine station number, the cutter number and the like of the produced product can be displayed on display equipment such as a display screen.
S202, obtaining basic information of the machine, wherein the basic information of the machine comprises macro variable addresses of the machine.
In this step, for example, the basic information of the machine may be obtained from the basic information of the production scheduling. The equipment basic information comprises an equipment macro variable address.
S203, acquiring the standard service life and the service life of the cutter according to the macro variable address of the machine.
In this step, the standard tool life is equal to the tool macro variable 881-. That is, the standard tool life is obtained from the data corresponding to 881 and 901 of the machine macro variable address, and the tool life is obtained from the data corresponding to 860 and 880 of the machine macro variable address.
And S204, obtaining the residual service life of the cutter according to the standard service life and the service life of the cutter.
And S205, analyzing the big data through intelligent operation logic according to the residual service life of the cutter, and predicting the cutter backup data.
And S206, presenting basic information of the machine station and the cutter which need to be changed within a preset time length.
In this step, for example, the basic information of the machine and the basic information of the tool that need to be changed within a preset time period may be displayed on a display device such as a display screen. The advantage of setting the preset time span is that the tools can be managed in a segmented manner according to the time intervals, so that a plurality of tools can be replaced in the same time interval, and the tools can be prepared before the tools are replaced in the same time interval.
Optionally, the preset length of time comprises 6 hours, 8 hours or 12 hours.
Illustratively, taking the preset length of time to include 6 hours as an example, a day may be divided into 4 periods on a 6 hour basis. For example, 9 o 'clock to 15 o' clock, 15 o 'clock to 21 o' clock, 21 o 'clock to the next day 3 o' clock, the next day 3 o 'clock to the next day 9 o' clock.
And S207, providing a backup data form.
In the step, a spare tool data form is provided, so that each department can obtain a spare tool list for preparing tools to be changed in advance through a exporting function, relevant work arrangement can be made in advance, the work efficiency is effectively improved, the tool magazine inventory time is reduced, and the inventory turnover rate is improved.
Optionally, after the backup and tool change are performed through the valid backup data, the system collects big data to generate each tool change data record.
Fig. 3 is a flowchart of another tool management method according to an embodiment of the present invention, and referring to fig. 3, the tool management method includes:
s301, acquiring basic information of a machine station and basic information of a cutter; the basic information of the cutter comprises the standard service life and the service life of the cutter.
And S302, obtaining the residual service life of the cutter according to the standard service life and the service life of the cutter.
And S303, obtaining the predicted tool changing time of the tool according to the residual service life of the tool.
The predicted tool changing time is the time length required by the tool needing to be changed from the preset time point in the previous time period to the time point needing to be changed.
Optionally, the predicted tool change time is a ratio of tool life to hourly production. The hourly production is also referred to herein as the UPH value.
S304, according to the estimated tool changing time of the tool and the preset time point in the current time period, obtaining the basic information of the machine table and the basic information of the tool corresponding to the tool of which the tool changing time falls in the next time period.
Optionally, the preset time point is located at the beginning stage of the current time period, so that at the beginning stage of the current time period, the tool to be replaced in the next time period is predicted, and the tool to be replaced in the next time period is prepared in advance in the current time period.
Illustratively, changing the tool between 15 and 21 points advances a time period to predict, i.e., between 9 and 15 points. For example, at 9: and 05, at the time point, acquiring basic information of the machine table and basic information of the cutter to obtain the residual service life of the cutter. In the following step 9: 05, if the tool changing time falls between 15 and 21 points after the predicted tool changing time is added on the basis of the time point, the tool with the tool changing time falling between 15 and 21 points needs to be prepared between 9 and 15 points. On the contrary, if the tool change time falls outside the 15 o 'clock to the 21 o' clock, it is not necessary to prepare tools for which the tool change time falls outside the 15 o 'clock to the 21 o' clock.
S305, predicting backup data.
Fig. 4 is a schematic structural diagram of a tool management system according to an embodiment of the present invention, fig. 5 is a schematic structural diagram of a processing device of the tool management system shown in fig. 4, and the tool management system shown in fig. 4 includes at least one machine 61 and a processing device 60. And the processing equipment 60 is connected with at least one machine 61. Fig. 4 illustrates a block diagram of an exemplary processing device 60 suitable for use in implementing embodiments of the present invention. The processing device 60 shown in fig. 5 is only an example and should not bring any limitation to the function and scope of use of the embodiments of the present invention. As shown in fig. 5, the processing device 60 is in the form of a general purpose computing device. The components of the processing device 60 may include, but are not limited to: one or more processors 601, a system memory 602, and a bus 603 that couples various system components (including the system memory 602 and the processors 601).
The processing device 60 typically includes a variety of computer system readable media. Such media may be any available media that is accessible by processing device 60 and includes both volatile and nonvolatile media, removable and non-removable media.
The system memory 602 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM)604 and/or cache memory 605. The processing device 60 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 606 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 5, commonly referred to as a "hard drive"). Although not shown in FIG. 5, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to the bus 603 by one or more data media interfaces. System memory 602 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.
A program/utility 608 having a set (at least one) of program modules 607, which may be stored, for example, in system memory 602, such program modules 607 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may include implementation of a network environment. The program modules 607 generally perform the functions and/or methods of the described embodiments of the invention.
The processing device 60 may also communicate with one or more external devices 609 (e.g., keyboard, pointing device, display 610, etc.), one or more devices that enable a user to interact with the device, and/or any devices (e.g., network card, modem, etc.) that enable the processing device 60 to communicate with one or more other computing devices. Such communication may occur via an input/output (I/O) interface 611. Also, the processing device 60 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the internet) via the network adapter 612. As shown in FIG. 5, the network adapter 612 communicates with the other modules of the processing device 60 via the bus 603. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the processing device 60, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
The processor 601 executes a program stored in the system memory 602 to execute various functional applications and data processing, for example, to implement the laser radar-based mapping method provided by the embodiment of the present invention for each laser radar.
Embodiments of the present invention further provide a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the computer program can implement the tool management method described in the above embodiments.
Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. The computer-readable storage medium may be, for example but not limited to: an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious modifications, rearrangements, combinations and substitutions without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A method of managing tools, comprising:
acquiring basic information of a machine platform and basic information of a cutter; the basic information of the cutter comprises the standard life and the service life of the cutter;
obtaining the residual service life of the cutter according to the standard service life of the cutter and the service life of the cutter;
and analyzing the big data through intelligent operation logic according to the residual service life of the cutter, and predicting the cutter backup data.
2. The method of claim 1, wherein obtaining basic information of the machine and the tool comprises:
acquiring basic information of the machine, wherein the basic information of the machine comprises a macro variable address of the machine;
and acquiring the standard service life of the cutter and the service life of the cutter according to the macro variable address of the machine station.
3. The method of claim 1, further comprising, before obtaining the basic information of the tool and the basic information of the machine:
and importing a tool list and basic information of production arrangement.
4. The method of claim 1, wherein the step of analyzing big data through intelligent operation logic according to the residual service life of the tool to predict tool backup data comprises the following steps:
obtaining the predicted tool changing time of the tool according to the residual service life of the tool;
acquiring the basic information of the machine table and the basic information of the cutter corresponding to the cutter with the cutter changing time falling in the next time period according to the estimated cutter changing time of the cutter and a preset time point in the current time period;
and predicting backup cutter data.
5. The method of claim 4, wherein the predicted tool change time is a ratio of tool life to hourly throughput.
6. The method of claim 1, wherein after analyzing the big data by the intelligent operation logic according to the remaining life of the tool to predict tool preparation data, the method further comprises:
and presenting the basic information of the machine station and the basic information of the cutter which need to be changed within a preset time length.
7. The method of claim 6, wherein the predetermined length of time comprises 6 hours, 8 hours, or 12 hours.
8. The method of claim 1, wherein after analyzing the big data by the intelligent operation logic according to the remaining life of the tool to predict tool preparation data, the method further comprises:
a backup dataform is provided.
9. A cutter management system is characterized by comprising at least one machine table and processing equipment; the processing equipment is connected with the at least one machine, and the processing equipment comprises:
one or more processors;
a memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the tool management method of any of claims 1-8 for each tool.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the tool management method according to any one of claims 1-8.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202110292436.2A CN113011653A (en) | 2021-03-18 | 2021-03-18 | Cutter management method, system and computer readable storage medium |
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| CN202110292436.2A CN113011653A (en) | 2021-03-18 | 2021-03-18 | Cutter management method, system and computer readable storage medium |
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| CN115319517A (en) * | 2022-08-19 | 2022-11-11 | 广东长盈精密技术有限公司 | Automatic tool changing control method, control device and automatic tool changing system |
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