CN117707097A - Machining center control method and system - Google Patents

Machining center control method and system Download PDF

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Publication number
CN117707097A
CN117707097A CN202410155830.5A CN202410155830A CN117707097A CN 117707097 A CN117707097 A CN 117707097A CN 202410155830 A CN202410155830 A CN 202410155830A CN 117707097 A CN117707097 A CN 117707097A
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China
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processing
processing unit
machining
control
subtasks
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CN202410155830.5A
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陈文彬
梁远标
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Guangzhou Zeheng Industrial Co ltd
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Guangzhou Zeheng Industrial Co ltd
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Priority to CN202410155830.5A priority Critical patent/CN117707097A/en
Publication of CN117707097A publication Critical patent/CN117707097A/en
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    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Abstract

The invention relates to the control field, and particularly discloses a processing center control method and system, wherein the processing center control module generates a processing unit control container according to state data of a processing unit acquired by a data acquisition module; the task acquisition module acquires a processing task, decomposes the processing task to obtain a plurality of subtasks and processing sequences of the subtasks, matches the processing units according to information of the subtasks to obtain processing units matched with the subtasks, and the cloud data server acquires processing unit control containers corresponding to the processing units matched with the subtasks to obtain a processing unit control container list; generating a processing control list according to the processing sequence of the subtasks and the processing unit control container list, and sending the processing control list to a processing center control module; and the processing center control module completes processing according to the processing control list. The invention realizes high-precision motion control, real-time state monitoring and intelligent fault diagnosis of the machining center.

Description

Machining center control method and system
Technical Field
The invention relates to the field of data processing, in particular to a processing center control method and system.
Background
With the rapid development of manufacturing industry, a machining center is used as a high-efficiency and high-precision machine tool device and is widely applied to various industries such as aviation, automobiles, molds and the like. The performance of the machining center directly affects the quality and production efficiency of the product, so that higher requirements are put on a control method and a system of the machining center.
In the conventional control method of the machining center, an open-loop or closed-loop numerical control system is generally adopted to control the movement of the machine tool. These systems can meet the processing requirements to a certain extent, but when facing complex processing tasks, there are often problems of insufficient precision, low efficiency, and the like. In addition, the traditional control system has limited capability of monitoring the running state of the machine tool and diagnosing faults, and potential problems are difficult to discover and process in time, so that the stability and reliability of the machining center are affected.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a control method of a processing center, which comprises the following steps:
step one, a processing center control module obtains the state of a processing unit according to the state data of the processing unit acquired by a data acquisition module, and if the state of the processing unit is normal, a cloud data server generates a processing unit control container according to the information of the processing unit; if the state of the processing unit is abnormal, performing fault removal on the processing unit;
step two, a task acquisition module acquires a processing task, decomposes the processing task to obtain a plurality of subtasks and processing sequences of the subtasks, matches the subtasks with processing units according to information of the subtasks to obtain processing units matched with the subtasks, and a cloud data server acquires processing unit control containers corresponding to the processing units matched with the subtasks to obtain a processing unit control container list;
step three, the subtasks are sent to a processing unit control container of a processing unit matched with the subtasks, a processing control list is generated according to the processing sequence of the subtasks and a processing unit control container list, and the processing control list is sent to a processing center control module;
and fourthly, the processing center control module connects the processing units with the corresponding processing unit control containers according to the processing control list, after the execution of the subtasks by one processing unit is completed and the processing quality detection is passed, the processing center control module connects the next processing unit with the corresponding processing unit control container until all the processing units in the processing control list complete processing, and if the in-situ detection device of the data acquisition module does not detect a new product to be processed within a set duration, the processing unit control container in the processing unit control container list is disconnected with the corresponding processing unit, and the processing unit control container enters dormancy.
Further, the processing center control module obtains the state of the processing unit according to the state data of the processing unit collected by the data collection module, and if the state of the processing unit is normal, the cloud data server generates a processing unit control container according to the information of the processing unit, and the processing center control module comprises:
the state data of each processing unit is collected through a processing unit state monitoring device in the data collection module, the state of the processing unit is judged according to the preset value of the state of the processing unit and the state data of the corresponding processing unit collected by the processing unit state monitoring device, if the data are consistent, the state of the processing unit is normal, otherwise, the state of the processing unit is abnormal, the abnormal processing unit is subjected to fault elimination, and after all the processing units are abnormal, the cloud data server generates a processing unit control container according to the information of the processing unit.
Further, the task obtaining module obtains a processing task, decomposes the processing task to obtain a plurality of subtasks and processing sequences of the subtasks, and includes:
the processing task is divided into a plurality of sub-tasks according to processing units used in the processing task, and a processing sequence of the sub-tasks is obtained according to the processing task.
Further, the matching is performed with the processing unit according to the information of the subtask to obtain a processing unit matching the subtask, the cloud data server obtains a processing unit control container corresponding to the processing unit matching the subtask to obtain a processing unit control container list, and the method includes:
and matching the processing units according to the processing units used by the subtasks to obtain the processing units, and obtaining corresponding processing unit control containers by the cloud data server according to the information of the processing units obtained by matching to generate a processing unit control container list.
Further, the generating a processing control list according to the processing sequence of the subtasks and the processing unit control container list includes:
and reordering each processing unit control container in the processing unit control container list according to the processing sequence of the subtasks to obtain a processing control list.
Further, the processing center control module connects a processing unit with a corresponding processing unit control container according to the processing control list, and after a sub-task is executed by one processing unit and processing quality detection is passed, the processing center control module connects a next processing unit with the corresponding processing unit control container, and the processing center control module includes:
after the in-situ detection device of the data acquisition module detects in-situ information, the machining center control module connects a first machining unit with a corresponding machining unit control container according to a machining control list, meanwhile, the machining data acquisition module of the data acquisition module acquires machining data and transmits the machining data to the connected machining unit control container, after machining of the machining units is finished, the cloud data server compares the machining data in the machining unit control container with standard data, if the machining data are consistent with the standard data, machining is qualified, and qualified information is returned to the machining center control module, and the machining center control module connects the next machining unit with the corresponding machining unit control container.
Further, if the cloud data server compares the processing data in the processing unit control container with the standard data, the cloud data server returns unqualified information to the processing center control module, and the processing center control module stops processing and performs processing unit fault removal.
The processing center control system comprises a processing center control module, a cloud data server, a task acquisition module, a data acquisition module, a communication device and a data processing module;
the processing center control module, the task acquisition module, the data acquisition module and the communication device are respectively connected with the data processing module; the cloud data server is in communication connection with the communication device.
Preferably, the data acquisition module comprises a processing unit state acquisition module, a positioning detection module and a processing data acquisition module; the processing unit state acquisition module, the in-place detection module and the processing data acquisition module are respectively connected with the data processing module.
The beneficial effects of the invention are as follows: by the technical scheme provided by the invention, high-precision motion control, real-time state monitoring and intelligent fault diagnosis of the machining center can be realized, so that the machining precision, the production efficiency and the running stability of the machining center are improved.
Drawings
FIG. 1 is a schematic flow chart of a method of controlling a machining center;
fig. 2 is a schematic diagram of a machining center control system.
Detailed Description
The technical solution of the present invention will be described in further detail with reference to the accompanying drawings, but the scope of the present invention is not limited to the following description.
For the purpose of making the technical solution and advantages of the present invention more apparent, the present invention will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the particular embodiments described herein are illustrative only and are not intended to limit the invention, i.e., the embodiments described are merely some, but not all, of the embodiments of the invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be made by a person skilled in the art without making any inventive effort, are intended to be within the scope of the present invention. It is noted that relational terms such as "first" and "second", and the like, are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions.
Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
The features and capabilities of the present invention are described in further detail below in connection with the examples.
As shown in fig. 1, a method for controlling a machining center includes:
step one, a processing center control module obtains the state of a processing unit according to the state data of the processing unit acquired by a data acquisition module, and if the state of the processing unit is normal, a cloud data server generates a processing unit control container according to the information of the processing unit; if the state of the processing unit is abnormal, performing fault removal on the processing unit;
step two, a task acquisition module acquires a processing task, decomposes the processing task to obtain a plurality of subtasks and processing sequences of the subtasks, matches the subtasks with processing units according to information of the subtasks to obtain processing units matched with the subtasks, and a cloud data server acquires processing unit control containers corresponding to the processing units matched with the subtasks to obtain a processing unit control container list;
step three, the subtasks are sent to a processing unit control container of a processing unit matched with the subtasks, a processing control list is generated according to the processing sequence of the subtasks and a processing unit control container list, and the processing control list is sent to a processing center control module;
and fourthly, the processing center control module connects the processing units with the corresponding processing unit control containers according to the processing control list, after the execution of the subtasks by one processing unit is completed and the processing quality detection is passed, the processing center control module connects the next processing unit with the corresponding processing unit control container until all the processing units in the processing control list complete processing, and if the in-situ detection device of the data acquisition module does not detect a new product to be processed within a set duration, the processing unit control container in the processing unit control container list is disconnected with the corresponding processing unit, and the processing unit control container enters dormancy.
The processing center control module obtains the state of the processing unit according to the state data of the processing unit acquired by the data acquisition module, and if the state of the processing unit is normal, the cloud data server generates a processing unit control container according to the information of the processing unit, and the processing center control module comprises:
the state data of each processing unit is collected through a processing unit state monitoring device in the data collection module, the state of the processing unit is judged according to the preset value of the state of the processing unit and the state data of the corresponding processing unit collected by the processing unit state monitoring device, if the data are consistent, the state of the processing unit is normal, otherwise, the state of the processing unit is abnormal, the abnormal processing unit is subjected to fault elimination, and after all the processing units are abnormal, the cloud data server generates a processing unit control container according to the information of the processing unit.
The task acquisition module acquires a processing task, decomposes the processing task to obtain a plurality of subtasks and processing sequences of the subtasks, and comprises the following steps:
the processing task is divided into a plurality of sub-tasks according to processing units used in the processing task, and a processing sequence of the sub-tasks is obtained according to the processing task.
The processing unit control container corresponding to the processing unit of the matched subtask is obtained by matching the information of the subtask with the processing unit, and the processing unit control container list is obtained by the cloud data server, and the processing unit control container list comprises:
and matching the processing units according to the processing units used by the subtasks to obtain the processing units, and obtaining corresponding processing unit control containers by the cloud data server according to the information of the processing units obtained by matching to generate a processing unit control container list.
The processing control list is generated according to the processing sequence of the subtasks and the processing unit control container list, and comprises the following steps:
and reordering each processing unit control container in the processing unit control container list according to the processing sequence of the subtasks to obtain a processing control list.
The machining center control module connects a machining unit with a corresponding machining unit control container according to a machining control list, and after a sub-task is executed by one machining unit and machining quality detection is passed, the machining center control module connects the next machining unit with the corresponding machining unit control container, and the machining center control module comprises:
after the in-situ detection device of the data acquisition module detects in-situ information, the machining center control module connects a first machining unit with a corresponding machining unit control container according to a machining control list, meanwhile, the machining data acquisition module of the data acquisition module acquires machining data and transmits the machining data to the connected machining unit control container, after machining of the machining units is finished, the cloud data server compares the machining data in the machining unit control container with standard data, if the machining data are consistent with the standard data, machining is qualified, and qualified information is returned to the machining center control module, and the machining center control module connects the next machining unit with the corresponding machining unit control container.
And if the cloud data server compares the processing data in the processing unit control container with the standard data, returning unqualified information to the processing center control module, stopping processing by the processing center control module, and performing fault elimination on the processing unit.
As shown in fig. 2, a machining center control system, to which the machining center control method is applied, includes a machining center control module, a cloud data server, a task acquisition module, a data acquisition module, a communication device, and a data processing module;
the processing center control module, the task acquisition module, the data acquisition module and the communication device are respectively connected with the data processing module; the cloud data server is in communication connection with the communication device.
The data acquisition module comprises a processing unit state acquisition module, a positioning detection module and a processing data acquisition module; the processing unit state acquisition module, the in-place detection module and the processing data acquisition module are respectively connected with the data processing module.
The foregoing is merely a preferred embodiment of the invention, and it is to be understood that the invention is not limited to the form disclosed herein but is not to be construed as excluding other embodiments, but is capable of numerous other combinations, modifications and environments and is capable of modifications within the scope of the inventive concept, either as taught or as a matter of routine skill or knowledge in the relevant art. And that modifications and variations which do not depart from the spirit and scope of the invention are intended to be within the scope of the appended claims.

Claims (9)

1. A machining center control method, comprising:
step one, a processing center control module obtains the state of a processing unit according to the state data of the processing unit acquired by a data acquisition module, and if the state of the processing unit is normal, a cloud data server generates a processing unit control container according to the information of the processing unit; if the state of the processing unit is abnormal, performing fault removal on the processing unit;
step two, a task acquisition module acquires a processing task, decomposes the processing task to obtain a plurality of subtasks and processing sequences of the subtasks, matches the subtasks with processing units according to information of the subtasks to obtain processing units matched with the subtasks, and a cloud data server acquires processing unit control containers corresponding to the processing units matched with the subtasks to obtain a processing unit control container list;
step three, the subtasks are sent to a processing unit control container of a processing unit matched with the subtasks, a processing control list is generated according to the processing sequence of the subtasks and a processing unit control container list, and the processing control list is sent to a processing center control module;
and fourthly, the processing center control module connects the processing units with the corresponding processing unit control containers according to the processing control list, after the execution of the subtasks by one processing unit is completed and the processing quality detection is passed, the processing center control module connects the next processing unit with the corresponding processing unit control container until all the processing units in the processing control list complete processing, and if the in-situ detection device of the data acquisition module does not detect a new product to be processed within a set duration, the processing unit control container in the processing unit control container list is disconnected with the corresponding processing unit, and the processing unit control container enters dormancy.
2. The method according to claim 1, wherein the processing center control module obtains the state of the processing unit according to the state data of the processing unit collected by the data collection module, and if the states of the processing unit are all normal, the cloud data server generates the processing unit control container according to the information of the processing unit, and the method comprises the steps of:
the state data of each processing unit is collected through a processing unit state monitoring device in the data collection module, the state of the processing unit is judged according to the preset value of the state of the processing unit and the state data of the corresponding processing unit collected by the processing unit state monitoring device, if the data are consistent, the state of the processing unit is normal, otherwise, the state of the processing unit is abnormal, the abnormal processing unit is subjected to fault elimination, and after all the processing units are abnormal, the cloud data server generates a processing unit control container according to the information of the processing unit.
3. The method of claim 2, wherein the task obtaining module obtains a processing task, decomposes the processing task to obtain a plurality of sub-tasks and a processing sequence of the sub-tasks, and comprises:
the processing task is divided into a plurality of sub-tasks according to processing units used in the processing task, and a processing sequence of the sub-tasks is obtained according to the processing task.
4. The method for controlling a machining center according to claim 3, wherein the matching is performed with the machining units according to the information of the subtasks to obtain machining units matching the subtasks, the cloud data server obtains machining unit control containers corresponding to the machining units matching the subtasks to obtain a machining unit control container list, and the method comprises the steps of:
and matching the processing units according to the processing units used by the subtasks to obtain the processing units, and obtaining corresponding processing unit control containers by the cloud data server according to the information of the processing units obtained by matching to generate a processing unit control container list.
5. The method of claim 4, wherein generating the process control list based on the process sequence of the sub-tasks and the process unit control container list comprises:
and reordering each processing unit control container in the processing unit control container list according to the processing sequence of the subtasks to obtain a processing control list.
6. The method of claim 5, wherein the machining center control module connects a machining unit with a corresponding machining unit control container according to the machining control list, and the machining center control module connects a next machining unit with the corresponding machining unit control container after a sub-task is performed by one machining unit and a machining quality is detected, comprising:
after the in-situ detection device of the data acquisition module detects in-situ information, the machining center control module connects a first machining unit with a corresponding machining unit control container according to a machining control list, meanwhile, the machining data acquisition module of the data acquisition module acquires machining data and transmits the machining data to the connected machining unit control container, after machining of the machining units is finished, the cloud data server compares the machining data in the machining unit control container with standard data, if the machining data are consistent with the standard data, machining is qualified, and qualified information is returned to the machining center control module, and the machining center control module connects the next machining unit with the corresponding machining unit control container.
7. The method of claim 6, further comprising, if the cloud data server compares the processing data in the processing unit control container with the standard data, returning reject information to the processing center control module, stopping processing by the processing center control module, and performing processing unit troubleshooting.
8. A machining center control system, which is characterized by applying the method of any one of claims 1-7, and comprising a machining center control module, a cloud data server, a task acquisition module, a data acquisition module, a communication device and a data processing module;
the processing center control module, the task acquisition module, the data acquisition module and the communication device are respectively connected with the data processing module; the cloud data server is in communication connection with the communication device.
9. The machining center control system according to claim 8, wherein the data acquisition module comprises a machining unit state acquisition module, a positioning detection module and a machining data acquisition module; the processing unit state acquisition module, the in-place detection module and the processing data acquisition module are respectively connected with the data processing module.
CN202410155830.5A 2024-02-04 2024-02-04 Machining center control method and system Pending CN117707097A (en)

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115605813A (en) * 2020-04-29 2023-01-13 克朗斯股份公司(De) Container treatment machine and method for monitoring the operation of a container treatment machine
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