CN118081124A - Laser cutting parameter control method based on multiparty cooperation and process recommendation - Google Patents
Laser cutting parameter control method based on multiparty cooperation and process recommendation Download PDFInfo
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- CN118081124A CN118081124A CN202410524508.5A CN202410524508A CN118081124A CN 118081124 A CN118081124 A CN 118081124A CN 202410524508 A CN202410524508 A CN 202410524508A CN 118081124 A CN118081124 A CN 118081124A
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- 238000000034 method Methods 0.000 title claims abstract description 166
- 238000003698 laser cutting Methods 0.000 title claims abstract description 24
- 238000005520 cutting process Methods 0.000 claims abstract description 31
- 238000004519 manufacturing process Methods 0.000 claims abstract description 25
- 238000004886 process control Methods 0.000 claims abstract description 12
- 238000012163 sequencing technique Methods 0.000 claims description 10
- 238000003466 welding Methods 0.000 claims description 9
- 230000001276 controlling effect Effects 0.000 claims description 8
- 230000001105 regulatory effect Effects 0.000 claims description 4
- 238000004364 calculation method Methods 0.000 claims description 3
- 230000001681 protective effect Effects 0.000 claims description 3
- 238000005457 optimization Methods 0.000 description 3
- 239000000463 material Substances 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 239000002994 raw material Substances 0.000 description 2
- 239000000725 suspension Substances 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
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- 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
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- 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
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Abstract
The invention provides a laser cutting parameter control method based on multiparty cooperation and process recommendation, which is mainly applied to parameter control of a laser cutting process by cooperation of a person, an edge and a cloud. Firstly, generating an initialized process library and process cards through trial production of a user side. In the cutting process, the air pressure parameters meeting the requirements of users are selected through the control of the constant AI and are executed by the edge side. The invention provides AI control methods with different fixed values, and updates the process library in real time, so that the process library is more in line with daily use conditions. And giving the most suitable throttle process control scheme according to the requirements of users. And executing the control command at the edge side after the user selects the control process. The invention also provides a process record backtracking aiming at whether the process is switched or not, and can quickly recover the cutting work.
Description
Technical Field
The invention belongs to the technical field of laser cutting control, and particularly relates to a laser cutting parameter control method based on multiparty cooperation and process recommendation.
Background
At present, in the technical field of industrial welding and cutting, the traditional welding and cutting process control method mainly adopts methods of raw material performance analysis, welding and cutting environment monitoring, welding and cutting equipment monitoring, subsequent treatment process coordination and the like to carry out parameter regulation and control. The user not only considers the parameters of the laser equipment, but also comprehensively considers the factors such as raw material performance, cutting environment, subsequent treatment process and the like, and realizes the optimal control of the whole laser cutting process through multiparty cooperation. However, at present, a method for performing targeted parameter control on gas consumption cost of welding and cutting equipment is not available, and optimization and recommendation on a process cannot be performed on the gas consumption cost, so that a welding and cutting production process with higher efficiency and lower cost is realized.
Disclosure of Invention
The invention aims to: aiming at the problems in the background technology, the invention provides a laser cutting parameter control method based on multiparty cooperation and process recommendation, which acquires reference data through a user trial production and edge side control system to give an initial process library, performs constant AI control through cloud cooperation, continuously adjusts and perfects the initial process library, gives a precise control range and can intuitively reflect the air consumption cost, air saving amount and air saving percentage data, and finally selects a control instruction and issues the control instruction by a user. In addition, a process quick switching method is provided for memorizing the control state and quickly changing the current production state based on the process switching.
The technical scheme is as follows: a laser cutting parameter control method based on multiparty cooperation and process recommendation comprises the following steps:
step S1, based on user trial production, collecting reference process data and establishing an initial process library, wherein the initial process library comprises a plurality of process cards;
Step S2, when the cloud end discovers that the cutting action starts through power identification, actively notifying the user end to perform constant AI control, and entering into formal production; the constant AI control carries out AI process matching recommendation by comparing the process cards obtained in the step S1 in real time after carrying out power matching on the workpiece, and a user carries out fine adjustment and then issues a final execution control instruction;
s3, after receiving a control instruction, the edge side performs real-time regulation and control; when the process switching occurs, repeatedly executing the step S2, reconfirm the process and issuing a control instruction; when the process switching does not occur, the cloud recovers the previous cutting control parameters, and the edge side continues to execute the control instructions.
Further, the initial process library in step S1 includes a plurality of pieces of process reference data collected by user trial production; each piece of process reference data comprises standard power and expected air pressure; configuring a protective air pressure safety interval in each piece of process reference data, obtaining an initialized air pressure safety interval aiming at each piece of process reference data through user trial production, and recording the initialized air pressure safety interval and the corresponding process reference data on the same process card.
Further, the constant AI control in the step S2 comprises three control methods of history process recommendation, history control record and manual control; in particular, the method comprises the steps of,
(1) Historical process recommendations;
Based on the current cutting power, matching the nearest process card, and based on the process selection times, carrying out preliminary sorting; then, calculating the expected air-saving quantity according to the expected air pressure given by different process cards for the user to select; the user selects any process card and manually adjusts, and the throttle amount is synchronously changed for the user to finally select;
(2) A history control record;
Performing similarity matching based on the cutting power of the current actual production, and performing two-dimensional sorting according to the control time and the control times; selecting a control record as a control instruction, and displaying the current predicted air-saving amount;
(3) A manual control mode;
When the history process and similar control records are not recommended, manual control is directly performed, the air pressure control parameters are adjusted in real time, and the predicted air-saving amount is displayed.
Further, the estimated throttle amount calculation method is as follows:
Firstly, acquiring an air pressure value xBefore before a control instruction is not executed on the edge side, acquiring current cutting power P, selecting process cards with the standard power Ps meeting the condition that Ps is more than or equal to 0.9P and less than or equal to 1.1P, performing preliminary sequencing according to the process selection times, giving expected air pressure according to different process cards, and calculating the expected air saving amount under the current cutting power P for a user to select; specifically, the expected air pressure in the edge side surrounding process card is controlled in real time, and the air saving amount is calculated;
Obtaining a relation y=f (x) =ax+b between actual gas pressure and gas flow in laser cutting based on least square fitting; wherein y is the collected gas flow, x is the actual collected gas pressure, and a and b are parameters obtained by fitting;
Air consumption m1=sum (f (xBefore) ×t/60) before edge side control, and air consumption m2=sum (f (xNow) ×t/60) after edge side control, where t represents a cutting time period and xNow represents a desired air pressure; the expected saving of gas consumption is M1-M2.
Further, in the history process recommendation, when the process card selection times are greater than N and the first-order difference values among the air pressure parameters finely adjusted in the N selections are smaller than M, the recommended air pressure of the process card is updated to the latest control value, so that process library updating is realized.
Further, before each time the user determines to issue a control instruction, a control record is created, the latest control time is updated to the current time, and meanwhile, the history control record containing the same control value is checked, and the control times of the history control record are +1; when a user enters control, actively inquiring the history control records, sequencing the history control records based on the latest control time preferentially, and sequencing the history control records again based on the control times; after the two times of sequencing, the control instruction with the most latest use times is obtained as a recommended control record.
Further, after the control of the constant value AI is completed in the step S2, fine adjustment of the air pressure parameter is performed; if the air pressure parameter given by the user exceeds a preset air pressure safety interval, warning is carried out; when the user confirms to control, comparing the upper and lower historic limits; if the new control air flow and air pressure value exceed the historical upper and lower limits, updating the upper and lower limits of the air pressure safety interval; and finally executing the control instruction by the edge side.
Further, in the step S3, a maximum pause duration is set; when the production pause time length in the regulation stage is longer than the maximum pause time length, entering a pause stage, recording current process control state parameters by the cloud end, regulating and controlling the edge side to the maximum air pressure, synchronizing the state to the cloud end, and updating the state to the bottom-of-the-pocket control state by the cloud end; and when welding process switching does not occur, recovering the current process control state parameters, and continuously executing control instructions.
Compared with the prior art, the technical scheme adopted by the invention has the following beneficial effects:
(1) The laser cutting parameter control method based on multiparty synergy and process recommendation provided by the invention is based on process recommendation, performs process optimization based on constant AI control by continuously updating the process recommendation by a user, gives out predictable gas consumption cost and gas saving amount data under different process control states, and helps the user to select the most suitable control parameter for control by the angle of cost optimization.
(2) The invention also sets an automatic bottom covering control scheme and a process control state record aiming at the suspension phenomenon in the cutting process, and can switch from the bottom covering control to the last control state when facing the non-process replacement state, thereby realizing the automatic switching of welding and cutting work and bottom covering protection.
Drawings
Fig. 1 is a flowchart of a laser cutting parameter control method based on multiparty synergy and process recommendation provided by the invention.
Detailed Description
The invention provides a laser cutting parameter control method based on multiparty cooperation and process recommendation, which is mainly applied to parameter control of a laser cutting process by cooperation of a person, an edge and a cloud. Firstly, generating an initialized process library through trial production of a user side, and configuring a corresponding air pressure safety interval for each process card. In the cutting process, when a new workpiece is cut, the air pressure parameters meeting the requirements of users are selected through constant AI control and are executed by the edge side. The invention provides AI control methods with different fixed values, and updates the process library in real time, so that the process library is more in line with daily use conditions. Meanwhile, the invention provides a related process recommendation mechanism and provides the most suitable throttle process control scheme according to the requirements of users. And executing the control command at the edge side after the user selects the control process. When the process pause time exceeds the maximum pause time, the cloud records the current process control state parameters, and the edge side is regulated and controlled to the maximum safe air pressure. When the process switching occurs, the user readjust the process control parameters, and when the process switching does not occur, the cloud automatically adjusts to the recorded value, and the regulation and control are repeated until the production is finished. The following provides a specific example to explain the core technical scheme of the present invention in detail.
As shown in fig. 1, the laser cutting parameter control method designed by the invention mainly comprises the following steps:
step S1, based on user trial production, an initial process library is built in a reference data acquisition mode.
The initial process library comprises a plurality of pieces of process reference data acquired through user trial production; wherein each piece of process reference data comprises information of base material type, standard power, material thickness, expected air pressure and the like. And then configuring a protective air pressure safety zone in each piece of process reference data, and obtaining an initialized air pressure safety zone for each piece of process reference data through user trial production, wherein the initialized air pressure safety zone and the corresponding process reference data are recorded on the same process card.
And S2, actively informing the user terminal to perform constant AI control and entering into formal production when the cloud terminal discovers that the cutting action starts through power identification. The constant AI control refers to performing AI process matching recommendation on the process card obtained in the step S1 through real-time comparison after performing power matching on the current workpiece, and a user performs corresponding fine adjustment based on the AI process matching recommendation and then issues a final execution control instruction. In this embodiment, a plurality of constant value AI control methods are provided, which specifically include:
(1) Historical process recommendations;
firstly, acquiring an air pressure value xBefore before a control instruction is not executed on the edge side, acquiring current cutting power P, selecting all process cards with standard power Ps meeting the condition that Ps is more than or equal to 0.9P and less than or equal to 1.1P, performing preliminary sequencing according to the process selection times, giving expected air pressure according to different process cards, and calculating the expected air saving amount under the current cutting power P for selection by a user. Specifically, the expected air pressure in the edge side surrounding process card is controlled in real time, and the air saving amount is calculated by the following calculation method:
Obtaining a relation y=f (x) =ax+b between actual gas pressure and gas flow in laser cutting based on least square fitting; wherein y is the collected gas flow, and x is the actual gas pressure. a. b are parameters obtained by least square fitting.
Air consumption m1=sum (f (xBefore) ×t/60) before edge side control, and air consumption m2=sum (f (xNow) ×t/60) after edge side control, where t represents a cutting time period and xNow represents a desired air pressure. The expected saving of gas consumption is M1-M2.
The user selects any process card and manually adjusts the process card to finely adjust the output air pressure control value, and meanwhile, the air saving quantity changes with the fine adjustment, so that the user can finally select the process card.
When the selection times of a certain process card are larger than N and the first-order difference values among the air pressure parameters finely adjusted in the N selections are smaller than M, the recommended air pressure of the process card is updated to the latest control value at the moment, and the process library is updated.
(2) A history control record;
and performing similarity matching based on the cutting power of the current actual production, and performing two-dimensional sorting according to the control time and the control times. And selecting the control record as a control instruction, and displaying the current predicted air-saving amount.
Specifically, before the user determines to issue a control instruction each time, a control record is created, the latest control time is updated to the current time, and meanwhile, the history control record containing the same control value is checked, and the control times of the history control record are +1. When the user enters control, the history control records are actively inquired, the control records are ranked based on the latest control time preferentially, and then the control records are ranked again based on the control times. After the two times of sequencing, the control instruction with the most latest use times is obtained as a recommended control record.
(3) A manual control mode;
When the recommended process and similar control record are not available, manual control is directly performed, the air pressure control parameters are adjusted in real time, and the predicted air throttle is displayed.
And after the control of the fixed value AI is completed, performing air pressure parameter fine adjustment. If the air pressure parameter given by the user exceeds the preset air pressure safety interval, a red marking warning is carried out, and when the user confirms to control, historical upper and lower limit comparison is carried out. And if the new control air flow and air pressure value exceed the historical upper and lower limits, updating the upper and lower limits of the air pressure safety interval. And finally executing the control instruction by the edge side.
And step S3, after receiving a control instruction, performing real-time regulation and control on the edge side, and setting the maximum pause duration. When the production pause time in the regulation stage is longer than the maximum pause time, entering a pause stage, recording current process control state parameters by the cloud end, regulating and controlling the edge side to the maximum air pressure, synchronizing the state to the cloud end, and updating the state to the bottom-of-the-pocket control state by the cloud end. The cut-out state mainly includes two cases of process switching and non-process switching. When the suspension is finished and the production stage is continued, if the process switching is judged, the step S2 is repeatedly executed, the process is reconfirmed, and a control instruction is issued. If the process switching does not occur, the cloud automatically calls back the control state parameters to the recorded process control state parameters and issues control instructions to the edge side, and the edge side continues to execute the control instructions.
The foregoing is merely a preferred embodiment of the present invention and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present invention, which are intended to be comprehended within the scope of the present invention.
Claims (8)
1. The laser cutting parameter control method based on multiparty cooperation and process recommendation is characterized by comprising the following steps of:
step S1, based on user trial production, collecting reference process data and establishing an initial process library, wherein the initial process library comprises a plurality of process cards;
Step S2, when the cloud end discovers that the cutting action starts through power identification, actively notifying the user end to perform constant AI control, and entering into formal production; the constant AI control carries out AI process matching recommendation by comparing the process cards obtained in the step S1 in real time after carrying out power matching on the workpiece, and a user carries out fine adjustment and then issues a final execution control instruction;
s3, after receiving a control instruction, the edge side performs real-time regulation and control; when the process switching occurs, repeatedly executing the step S2, reconfirm the process and issuing a control instruction; when the process switching does not occur, the cloud recovers the previous cutting control parameters, and the edge side continues to execute the control instructions.
2. The method for controlling laser cutting parameters based on multiparty synergy and process recommendation according to claim 1, wherein the initial process library in step S1 comprises a plurality of pieces of process reference data collected by user trial production; each piece of process reference data comprises standard power and expected air pressure; configuring a protective air pressure safety interval in each piece of process reference data, obtaining an initialized air pressure safety interval aiming at each piece of process reference data through user trial production, and recording the initialized air pressure safety interval and the corresponding process reference data on the same process card.
3. The method according to claim 1, wherein the constant AI control in step S2 includes three control methods including history process recommendation, history control record and manual control; in particular, the method comprises the steps of,
(1) Historical process recommendations;
Based on the current cutting power, matching the nearest process card, and based on the process selection times, carrying out preliminary sorting; then, calculating the expected air-saving quantity according to the expected air pressure given by different process cards for the user to select; the user selects any process card and manually adjusts, and the throttle amount is synchronously changed for the user to finally select;
(2) A history control record;
Performing similarity matching based on the cutting power of the current actual production, and performing two-dimensional sorting according to the control time and the control times; selecting a control record as a control instruction, and displaying the current predicted air-saving amount;
(3) A manual control mode;
When the history process and similar control records are not recommended, manual control is directly performed, the air pressure control parameters are adjusted in real time, and the predicted air-saving amount is displayed.
4. A laser cutting parameter control method based on multiparty synergy and process recommendation according to claim 3, wherein the predicted throttle amount calculation method is as follows:
Firstly, acquiring an air pressure value xBefore before a control instruction is not executed on the edge side, acquiring current cutting power P, selecting process cards with the standard power Ps meeting the condition that Ps is more than or equal to 0.9P and less than or equal to 1.1P, performing preliminary sequencing according to the process selection times, giving expected air pressure according to different process cards, and calculating the expected air saving amount under the current cutting power P for a user to select; specifically, the expected air pressure in the edge side surrounding process card is controlled in real time, and the air saving amount is calculated;
Obtaining a relation y=f (x) =ax+b between actual gas pressure and gas flow in laser cutting based on least square fitting; wherein y is the collected gas flow, and x is the actual collected gas pressure; a. b are parameters obtained by fitting;
Air consumption m1=sum (f (xBefore) ×t/60) before edge side control, and air consumption m2=sum (f (xNow) ×t/60) after edge side control, where t represents a cutting time period and xNow represents a desired air pressure; the expected saving of gas consumption is M1-M2.
5. The method for controlling laser cutting parameters based on multiparty synergy and process recommendation according to claim 3, wherein in the historical process recommendation, when the process card selection times are greater than N and the first-order difference values among the air pressure parameters finely adjusted in the N selections are smaller than M, the recommended air pressure of the process card is updated to the latest control value, so that process library updating is realized.
6. A method for controlling laser cutting parameters based on multiparty synergy and process recommendation according to claim 3, wherein a control record is created before a user determines to issue a control command each time in the history control record, the latest control time is updated to the current, and the history control record containing the same control value is checked and the control times of the history control record are +1; when a user enters control, actively inquiring the history control records, sequencing the history control records based on the latest control time preferentially, and sequencing the history control records again based on the control times; after the two times of sequencing, the control instruction with the most latest use times is obtained as a recommended control record.
7. The method for controlling laser cutting parameters based on multiparty synergy and process recommendation according to claim 1, wherein the step S2 is performed with fine adjustment of air pressure parameters after the control of the constant AI is completed; if the air pressure parameter given by the user exceeds a preset air pressure safety interval, warning is carried out; when the user confirms to control, comparing the upper and lower historic limits; if the new control air flow and air pressure value exceed the historical upper and lower limits, updating the upper and lower limits of the air pressure safety interval; and finally executing the control instruction by the edge side.
8. The method for controlling laser cutting parameters based on multiparty synergy and process recommendation according to claim 1, wherein the maximum pause time is set in the step S3; when the production pause time length in the regulation stage is longer than the maximum pause time length, entering a pause stage, recording current process control state parameters by the cloud end, regulating and controlling the edge side to the maximum air pressure, synchronizing the state to the cloud end, and updating the state to the bottom-of-the-pocket control state by the cloud end; and when welding process switching does not occur, recovering the current process control state parameters, and continuously executing control instructions.
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| CN102117053A (en) * | 2010-12-20 | 2011-07-06 | 山西飞虹激光科技有限公司 | Intelligent computer numerical control system for laser cutter |
| CN102855326A (en) * | 2012-09-14 | 2013-01-02 | 山东省计算中心 | Managing method of laser cutting technological parameters |
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| CN115570228A (en) * | 2022-11-22 | 2023-01-06 | 苏芯物联技术(南京)有限公司 | Intelligent feedback control method and system for welding pipeline gas supply |
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- 2024-04-29 CN CN202410524508.5A patent/CN118081124A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102117053A (en) * | 2010-12-20 | 2011-07-06 | 山西飞虹激光科技有限公司 | Intelligent computer numerical control system for laser cutter |
| CN102855326A (en) * | 2012-09-14 | 2013-01-02 | 山东省计算中心 | Managing method of laser cutting technological parameters |
| CN115048422A (en) * | 2022-05-16 | 2022-09-13 | 上海控软网络科技有限公司 | Process recommendation method, device, equipment and storage medium |
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