CN117428302A - Intelligent dynamic control method and system for air supply flow rate of welded pipeline - Google Patents
Intelligent dynamic control method and system for air supply flow rate of welded pipeline Download PDFInfo
- Publication number
- CN117428302A CN117428302A CN202311753915.5A CN202311753915A CN117428302A CN 117428302 A CN117428302 A CN 117428302A CN 202311753915 A CN202311753915 A CN 202311753915A CN 117428302 A CN117428302 A CN 117428302A
- Authority
- CN
- China
- Prior art keywords
- gas
- flow rate
- waveform
- proportional valve
- welding
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 62
- 238000003466 welding Methods 0.000 claims abstract description 49
- 230000001681 protective effect Effects 0.000 claims description 10
- 230000008569 process Effects 0.000 claims description 7
- 230000000694 effects Effects 0.000 claims description 6
- 238000004364 calculation method Methods 0.000 claims description 4
- 230000008859 change Effects 0.000 abstract description 4
- 238000010586 diagram Methods 0.000 description 3
- 230000009467 reduction Effects 0.000 description 2
- 239000002699 waste material Substances 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000003750 conditioning effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23K—SOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
- B23K9/00—Arc welding or cutting
- B23K9/32—Accessories
- B23K9/325—Devices for supplying or evacuating shielding gas
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23K—SOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
- B23K37/00—Auxiliary devices or processes, not specially adapted to a procedure covered by only one of the preceding main groups
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Mechanical Engineering (AREA)
- Plasma & Fusion (AREA)
- Optics & Photonics (AREA)
- Flow Control (AREA)
Abstract
The invention discloses an intelligent dynamic control method and system for the air supply flow rate of a welding pipeline. Adjusting the fluctuation of the gas flow rate between the upper limit and the lower limit after the driving current is obtained; in addition, the invention also provides an adjusting method for different fluctuation periods by adopting an interpolation method according to the actual welding working condition; aiming at the problem of inaccurate driving current caused by flow speed change, the invention also provides a calibration method, which ensures that the air flow fluctuates within a set flow speed range, saves pipeline air supply and prevents air flow speed errors caused by proportional valve control errors.
Description
Technical Field
The invention belongs to the technical field of intelligent welding, and particularly relates to an intelligent dynamic control method and system for the air supply flow rate of a welded pipeline.
Background
In the conventional welding operation, the welding shielding gas is generally in the form of bottled gas or pipeline gas, and the flow rate of the output gas is controlled to be maintained in a reasonable range by presetting a gas flow value. The flow rate control of traditional bottled air supply or pipeline air supply adopts the manual regulation to install the mechanical relief pressure valve on the gas circuit, and during actual welding, the gas flow is adjusted according to experience by the welder, generally adjusts the gas flow to the gas flow rate that is fit for work piece welding according to welding process regulation WPS. In actual operation, workers do not frequently adjust the gas flow rate, but maintain the gas flow rate at a relatively high level, so that welding quality is ensured not to be affected, and welding defects are caused. However, in actual welding, due to factors such as current change or unstable gas supply, the effect of feeding gas according to needs cannot be achieved all the time in a traditional manual adjustment mode, and a large amount of gas is wasted in order to ensure welding quality. In addition, because the accuracy of the float gauge on the mechanical pressure reducing valve is not high, the welding air flow is not in the process range, the actual air flow rate is larger, and the air waste is further caused.
In the prior art, an electromagnetic proportional valve is generally adopted for air flow control, the proportional valve is installed in a protective air pipeline when in use, the opening and closing degree of the proportional valve is directly controlled through externally input driving current, and the air flow speed in the pipeline is controlled. However, as the air flow speed changes, the pressure in the pipeline also changes, and at this time, the same driving current corresponds to the adjustable air flow speed, and the control accuracy of the proportional valve is not constant any more.
Disclosure of Invention
The invention aims to: aiming at the problems in the background technology, the invention provides an intelligent dynamic control method for the gas supply flow rate of a welding pipeline, which is characterized in that a proportional valve for accurately controlling the gas flow rate is added in a traditional pipeline gas supply circuit, corresponding driving current is given based on the upper limit and the lower limit of the gas flow rate given by an actual process, and a fluctuation control method for the gas flow rate is designed, so that the problem of gas waste in constant-flow gas supply is solved. In addition, aiming at the problem that the driving current of the proportional valve is inaccurate to the gas flow rate caused by the change of the air pressure in the pipeline, and further the deviation of the control effect occurs, a real-time calibration method is provided, and when the gas flow rate has larger deviation, calibration and back control are performed.
The technical scheme is as follows: an intelligent dynamic control method for the air supply flow rate of a welded pipeline comprises the following steps:
step S1, setting an upper flow speed limit Vmax and a lower flow speed limit Vmin in fluctuation control, and calibrating a proportional valve based on the set upper flow speed limit and the set lower flow speed limit to respectively obtain proportional valve driving currents IH and IL corresponding to the Vmax;
step S2, setting a waveform period of fluctuation control according to an actual welding condition, realizing control of the waveform period in an interpolation control mode, and acquiring a calibrated airflow waveform;
and S3, after the calibrated airflow waveform is obtained, sequentially performing repetition period control according to the driving current obtained by interpolation in the step S2.
Further, in the calibration process of the proportional valve, the fluctuation error is set to be +/-0.5L/min, when the protective gas pipeline starts to be ventilated, the gas flow rate of the pipeline is detected in real time through the gas flow sensor, and the host computer receives the flow rate data in real time and compares the flow rate data with the set upper flow rate limit Vmax and the set lower flow rate limit Vmin respectively; when the gas flow rate is lower than Vmin, the PID method is adopted to raise the gas flow rate to Vmin, and the proportional valve driving current IL corresponding to the current state is obtained; when the gas flow rate is higher than Vmax, the PID control method is adopted to adjust the gas flow rate to Vmax, and the proportional valve driving current IH corresponding to the current state is obtained.
Further, the specific method for interpolation control in step S2 includes:
according to the set waveform control period T, driving current interpolation is carried out between IH-IL, and the number X of interpolation points meets the following conditions:
；
drive current corresponding to the x-th interpolation pointI x The method meets the following conditions:
；
wherein x=0, 1,2, …, X;
obtaining interpolation point driving currentI x Then, the host sequentially sends a driving current instruction from IL to IH, controls the proportional valve to adjust for x times, symmetrically reduces the driving current from IH to IL, controls the opening and closing degree of the proportional valve, and finally obtains complete air flowThe waveform is the airflow waveform after calibration.
Further, calculating a waveform difference between the actual waveform and the calibrated airflow waveform in each subsequent period when the period control is repeated in the step S3, and carrying out recalibration when the difference is greater than a preset range; the method for calculating the waveform difference comprises any one of Euclidean distance, manhattan distance and DTW algorithm.
Further, a waveform difference calculation method based on the euclidean distance is adopted, and specifically,
the calibrated airflow waveform obtained in the step S2 contains the total airflow point number P, and the flow velocity of each airflow point after calibration is set asThe velocity of each airflow point in the current actual waveform is +.>Wherein p=0, 1,2,;
under the control of the proportional valve, each new waveform period is generated, the current waveform is calculatedAnd the flow rate of each air flow point after calibration +.>The Euclidean distance d between them is as follows:
；
setting an error threshold th1 and a calibration threshold th2, and when d-th1 is more than or equal to th2, representing that the waveform difference is too large, immediately recalibrating the host in the next waveform period; when d-th1 is more than 0 and less than th2, representing that the waveforms have differences, not immediately carrying out recalibration at the moment, and when n new waveforms all meet 0 and less than d-th1 and less than th2, carrying out recalibration again; when d.ltoreq.th1, there is no obvious effect on the representative difference and no recalibration is performed.
Further, when recalibrating, repeating the related steps in the steps S1-S2, adopting a PID linear control method to redetermine IL and IH, and carrying out interpolation again to realize the set waveform period; and after the recalibration is finished, continuing to carry out fluctuation control within the preset upper and lower flow rate limits.
A control system adopting the intelligent dynamic control method for the gas supply flow rate of the welding pipeline comprises a shielding gas source, a gas flow sensor, a proportional valve, a host machine and a gas end for a welding machine; the welding protection gas source is used to the gas end of the welding machine through conveying the welding protection gas to the gas end of the welding machine through the gas inlet gas path, the gas inlet gas path is provided with a high-precision gas flow sensor, the gas flow sensor detects the flow rate of the protection gas in the current pipeline in real time and transmits the protection gas to the host, the gas inlet gas path is simultaneously provided with the proportional valve, and the host controls the opening and closing degree of the proportional valve to further control the flow rate of the protection gas in the gas inlet gas path, so that the protection gas finally flows into the gas end of the welding machine.
Compared with the prior art, the technical scheme adopted by the invention has the following beneficial effects:
(1) The intelligent dynamic control method for the welding pipeline air supply flow rate is different from the existing constant-value flow rate control method, can accurately realize fluctuation control in the set upper and lower limiting flow rate ranges, and can effectively save the consumption of shielding gas.
(2) The invention adopts the interpolation control method to control the waveform period, selects different waveform periods according to different welding working conditions, and ensures that the welding quality problem caused by the reduction of the gas flow rate is avoided while saving gas.
(3) Aiming at the problem that the corresponding relation between the driving current of the proportional valve and the pipeline flow velocity under different external conditions is possibly changed, the invention provides a waveform self-adaptive calibration method, and the accurate control of the waveform is realized by calculating the waveform difference and providing the calibration method.
Drawings
FIG. 1 is a block diagram of a welded pipe air supply system provided by the present invention;
FIG. 2 is a schematic diagram of an intelligent dynamic control method for the air supply flow rate of a welding pipeline;
FIG. 3 is a schematic diagram showing the effect of saving gas under high frequency fluctuation in the embodiment of the invention.
Description of the embodiments
Compared with fixed-value air supply in the prior art, the invention provides an intelligent dynamic control method and system for the air supply flow rate of a welding pipeline. The gas flow rate is adjusted to fluctuate between upper and lower limits after the drive current is acquired. In addition, the invention also provides a method for adjusting different fluctuation frequencies by adopting a difference value method according to the actual welding process requirement. Aiming at the problem of inaccurate driving current caused by flow speed change, the invention also provides a calibration method, which ensures that the air flow fluctuates within a set flow speed range, saves pipeline air supply and prevents air flow speed errors caused by proportional valve control errors. A specific example is given below to describe in detail the conditioning method of the present invention.
As shown in FIG. 1, the intelligent fluctuation control system for the pipeline gas supply flow rate provided by the invention has the advantages that a protective gas source conveys welding protective gas to a gas end of a welding machine from an air inlet path, a high-precision air flow sensor is arranged on the air inlet path, the air flow sensor detects the current protective gas flow rate in a pipeline in real time and transmits the current protective gas flow rate to a host, a proportional valve is simultaneously arranged on the air inlet path, the host outputs driving current after receiving gas flow rate data, the opening and closing degree of the proportional valve is controlled, the flow rate of the protective gas in the air inlet path is controlled, and finally the protective gas flows into the gas end of the welding machine.
The intelligent dynamic control method for the pipeline air supply flow rate provided by the invention is shown in fig. 2, and comprises the following steps:
s1, setting an upper flow speed limit Vmax and a lower flow speed limit Vmin in fluctuation control, and setting a fluctuation error to be +/-0.5L/min; and calibrating the proportional valve based on the set upper and lower flow speed limits.
When the protective gas pipeline starts to be ventilated, detecting the gas flow rate of the pipeline in real time through the gas flow sensor, and enabling the host to receive the flow rate data in real time and compare the flow rate data with a set flow rate upper limit Vmax and a set flow rate lower limit Vmin respectively; when the gas flow rate is lower than Vmin, the PID method is adopted to raise the gas flow rate to Vmin, and the proportional valve driving current IL corresponding to the current state is obtained; when the gas flow rate is higher than Vmax, the PID control method is adopted to adjust the gas flow rate to Vmax, and the proportional valve driving current IH corresponding to the current state is obtained.
And S2, setting a waveform period of fluctuation control according to the actual welding working condition, and realizing the control of the waveform period in an interpolation control mode.
In this embodiment, an interpolation control method is adopted to increase or shorten the period of the fluctuation control, so that the switching of the low frequency, the intermediate frequency and the high frequency of the airflow waveform frequency can be realized. Specifically, after the calibration is completed in step S1, driving current interpolation is performed between IH-IL according to a set waveform control period T, and the number X of interpolation points satisfies:
；
drive current corresponding to the x-th interpolation pointI x The method meets the following conditions:
；
where x=0, 1,2, …, X.
Obtaining interpolation point driving currentI x And sequentially sending a driving current instruction from the IL to the IH by the host, controlling the proportional valve to adjust for x times, then symmetrically reducing the driving current from the IH to the IL, and controlling the opening and closing degree of the proportional valve to finally obtain a complete airflow waveform, wherein the airflow waveform is the calibrated airflow waveform.
And step S3, after the interpolation process of the step S2 is completed, the proportional valve does not perform PID control any more, and the driving current repetition period control is performed according to the driving current obtained in the step S2 in sequence.
In the actual pipeline gas supply state, the gas flow rate in the pipeline is continuously changed, and the pressure is also continuously changed, so that the same driving current is used for driving the proportional valve, and the obtained pipeline gas flow rates are different, and therefore calibration and back control are needed. In this embodiment, a reverse control calibration method based on waveform difference calculation is provided, by calculating waveform differences between each subsequent period and the calibrated airflow waveform, when the differences are too large, a new round of driving current calibration is immediately performed, when the differences are not large, accumulated driving current calibration is performed, and when the differences do not exceed a preset range, a calibration mode is not adopted. In actual calculation of the waveform difference, indexes such as Euclidean distance and Manhattan distance can be used as indexes for measuring the waveform difference, and the time sequence similarity can be calculated by adopting a DTW algorithm and the like. In this embodiment, a difference value calculated based on the euclidean distance and a calibration method are provided, which are specifically as follows:
s3.1, the calibrated airflow waveform obtained in the step S2 comprises the total airflow point number P, and the flow velocity of each airflow point after calibration is set asThe velocity of each airflow point in the current actual waveform is +.>Where p=0, 1,2,..p-1.
Under the control of the proportional valve, each new waveform period is generated, the current waveform is calculatedAnd the flow rate of each air flow point after calibration +.>The Euclidean distance d between them is as follows:
；
s3.2, setting an error threshold th1 and a calibration threshold th2, wherein when d-th1 is more than or equal to th2, the difference of the waveforms is overlarge, and the host is immediately recalibrated in the next waveform period; when d-th1 is more than 0 and less than th2, representing that the waveforms have differences, not immediately carrying out recalibration at the moment, and when n new waveforms all meet 0 and less than d-th1 and less than th2, carrying out recalibration again; when d.ltoreq.th1, there is no obvious effect on the representative difference and no recalibration is performed.
Specifically, when recalibration is performed, the relevant steps in the steps S1-S2 are repeated, IL and IH are redetermined by adopting a PID linear control method, interpolation is performed again, and a set waveform period is realized. And after the recalibration is finished, continuing to carry out fluctuation control within the preset upper and lower flow rate limits.
In the above-described gas flow rate fluctuation control method, compared with the conventional control method, the control method of eliminating a fixed gas flow value is omitted, and as shown in fig. 3, taking a high-frequency waveform as an example, each waveform may be approximately a triangle, and the area enclosed under the waveform is the amount of the gas to be used. Compared with the traditional airflow control method with the flow rate fixed value at the peak value, more air can be obviously saved. According to the invention, different waveform frequencies are controlled by an interpolation method according to actual welding conditions, and different welding seam conditions are corresponding, so that the problem of welding quality caused by the reduction of the gas flow rate can be avoided while gas is saved. Finally, the invention considers the problem that the gas flow rate and the driving current can not be corresponding any more when the driving current calibrated by the proportional valve changes along with the external conditions such as the gas flow rate, the pressure and the like, and provides a recalibration concept, so that the follow-up waveform has the self-adaptive correction capability, and more accurate fluctuation control is realized.
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 (7)
1. An intelligent dynamic control method for the air supply flow rate of a welded pipeline is characterized by comprising the following steps:
step S1, setting an upper flow speed limit Vmax and a lower flow speed limit Vmin in fluctuation control, and calibrating a proportional valve based on the set upper flow speed limit and the set lower flow speed limit to respectively obtain proportional valve driving currents IH and IL corresponding to the Vmax;
step S2, setting a waveform period of fluctuation control according to an actual welding condition, realizing control of the waveform period in an interpolation control mode, and acquiring a calibrated airflow waveform;
and S3, after the calibrated airflow waveform is obtained, sequentially performing repetition period control according to the driving current obtained by interpolation in the step S2.
2. The intelligent dynamic control method for the gas supply flow rate of the welding pipeline according to claim 1, wherein in the calibration process of the proportional valve, the fluctuation error is set to be +/-0.5L/min, when the protective gas pipeline starts to be ventilated, the gas flow rate of the pipeline is detected in real time through the gas flow sensor, and the host computer receives the flow rate data in real time and compares the flow rate data with the set upper flow rate limit Vmax and the set lower flow rate limit Vmin respectively; when the gas flow rate is lower than Vmin, the PID method is adopted to raise the gas flow rate to Vmin, and the proportional valve driving current IL corresponding to the current state is obtained; when the gas flow rate is higher than Vmax, the PID control method is adopted to adjust the gas flow rate to Vmax, and the proportional valve driving current IH corresponding to the current state is obtained.
3. The intelligent dynamic control method for the air supply flow rate of the welding pipeline according to claim 1, wherein the specific method for the interpolation control in the step S2 comprises the following steps:
according to the set waveform control period T, driving current interpolation is carried out between IH-IL, and the number X of interpolation points meets the following conditions:
；
drive current corresponding to the x-th interpolation pointI x The method meets the following conditions:
；
wherein x=1, 2, …, X;
obtaining interpolation point driving currentI x Then, the host sequentially sends out driving current instructions from IL to IH, controls the proportional valve to adjust for x times, then symmetrically reduces the driving current from IH to IL, controls the opening and closing degree of the proportional valve, and is the mostAnd finally obtaining a complete airflow waveform, wherein the airflow waveform at the moment is the calibrated airflow waveform.
4. The intelligent dynamic control method for the gas supply flow rate of the welding pipeline according to claim 1, wherein in the step S3, when the cycle control is repeated, a waveform difference between an actual waveform and a calibrated gas flow waveform in each subsequent cycle is calculated, and when the difference is greater than a preset range, recalibration is performed; the method for calculating the waveform difference comprises any one of Euclidean distance, manhattan distance and DTW algorithm.
5. The intelligent dynamic control method for the gas supply flow rate of the welding pipeline according to claim 4, wherein a waveform difference calculation method based on Euclidean distance is adopted, in particular,
the calibrated airflow waveform obtained in the step S2 contains the total airflow point number P, and the flow velocity of each airflow point after calibration is set asThe velocity of each airflow point in the current actual waveform is +.>Wherein p=0, 1,2,;
under the control of the proportional valve, each new waveform period is generated, the current waveform is calculatedAnd the flow rate of each air flow point after calibration +.>The Euclidean distance d between them is as follows:
；
setting an error threshold th1 and a calibration threshold th2, and when d-th1 is more than or equal to th2, representing that the waveform difference is too large, immediately recalibrating the host in the next waveform period; when d-th1 is more than 0 and less than th2, representing that the waveforms have differences, not immediately carrying out recalibration at the moment, and when n new waveforms all meet 0 and less than d-th1 and less than th2, carrying out recalibration again; when d.ltoreq.th1, there is no obvious effect on the representative difference and no recalibration is performed.
6. The intelligent dynamic control method for the welding pipeline gas supply flow rate according to claim 5, wherein the steps related to the steps S1-S2 are repeated when the welding pipeline gas supply flow rate is recalibrated, IL and IH are redetermined by adopting a PID linear control method, and interpolation is carried out again, so that a set waveform period is realized; and after the recalibration is finished, continuing to carry out fluctuation control within the preset upper and lower flow rate limits.
7. A control system adopting the intelligent dynamic control method for the gas supply flow rate of the welding pipeline according to any one of claims 1-6, which is characterized by comprising a shielding gas source, a gas flow sensor, a proportional valve, a host machine and a gas end for a welding machine; the welding protection gas source is used to the gas end of the welding machine through conveying the welding protection gas to the gas end of the welding machine through the gas inlet gas path, the gas inlet gas path is provided with a high-precision gas flow sensor, the gas flow sensor detects the flow rate of the protection gas in the current pipeline in real time and transmits the protection gas to the host, the gas inlet gas path is simultaneously provided with the proportional valve, and the host controls the opening and closing degree of the proportional valve to further control the flow rate of the protection gas in the gas inlet gas path, so that the protection gas finally flows into the gas end of the welding machine.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311753915.5A CN117428302B (en) | 2023-12-20 | 2023-12-20 | Intelligent dynamic control method and system for air supply flow rate of welded pipeline |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311753915.5A CN117428302B (en) | 2023-12-20 | 2023-12-20 | Intelligent dynamic control method and system for air supply flow rate of welded pipeline |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117428302A true CN117428302A (en) | 2024-01-23 |
| CN117428302B CN117428302B (en) | 2024-02-20 |
Family
ID=89558578
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311753915.5A Active CN117428302B (en) | 2023-12-20 | 2023-12-20 | Intelligent dynamic control method and system for air supply flow rate of welded pipeline |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117428302B (en) |
Citations (33)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS60122234A (en) * | 1983-12-07 | 1985-06-29 | Nippon Soken Inc | Air-fuel ratio control equipment for internal- combustion engine |
| JP2000074830A (en) * | 1998-08-28 | 2000-03-14 | Horiba Ltd | High-speed measuring method and measuring system for temperature, concentration and chemical species by use of semiconductor laser spectroscopy |
| JP2000257495A (en) * | 1999-03-10 | 2000-09-19 | Isuzu Motors Ltd | Fuel injection method for engine and its apparatus |
| US6429404B1 (en) * | 1999-08-17 | 2002-08-06 | Central Motor Wheel Co., Ltd. | Method and apparatus for determining seam tracking control of arc welding |
| JP2002239733A (en) * | 2001-02-19 | 2002-08-28 | Chuo Motor Wheel Co Ltd | Weld line profiling judging device and profiling control device |
| EP1249298A2 (en) * | 2001-04-10 | 2002-10-16 | BADISCHE DRAHTWERKE GmbH | Method and apparatus for assessing the quality of and control and monitor pressure welding and fusion welding processes |
| GB0225164D0 (en) * | 2001-10-31 | 2002-12-11 | Daimler Chrysler Corp | Air flow target determination |
| US20030080101A1 (en) * | 2001-10-30 | 2003-05-01 | Flood Dale A. | Welding current control system and method |
| WO2003042638A1 (en) * | 2001-11-13 | 2003-05-22 | Kazumasa Ohnishi | Method of measuring flow of fluid moving in pipe or groove-like flow passage |
| US20050274166A1 (en) * | 2004-06-11 | 2005-12-15 | Min Wu | Calibration method for digital air pressure gauge |
| JP2009044867A (en) * | 2007-08-09 | 2009-02-26 | Panasonic Corp | Motor drive, integrated circuit device and motor apparatus |
| US20120035745A1 (en) * | 2010-08-06 | 2012-02-09 | Fanuc Corporation | Processing information acquisition system in processing machine supplying processing point with energy or material |
| CN104142377A (en) * | 2014-07-17 | 2014-11-12 | 上海冷杉精密仪器有限公司 | Low-cost gas path system of gas chromatograph and achieving method of low-cost gas path system |
| CN104889534A (en) * | 2010-02-23 | 2015-09-09 | 伊利诺斯工具制品有限公司 | Wire feed speed referenced variable frequency pulse welding system |
| WO2016065874A1 (en) * | 2014-10-29 | 2016-05-06 | 中山大洋电机股份有限公司 | Method for controlling constant air volume of electrical device with air exhaust or air supply function |
| KR20160069416A (en) * | 2014-12-08 | 2016-06-16 | 현대오트론 주식회사 | Electric current control apparatus of motor and method thereof |
| CN106392265A (en) * | 2015-07-31 | 2017-02-15 | 株式会社神户制钢所 | Gas welding method and gas welding device |
| CN106573325A (en) * | 2014-06-25 | 2017-04-19 | 伊利诺斯工具制品有限公司 | System and method for controlling wire feed speed |
| CN108290240A (en) * | 2016-01-21 | 2018-07-17 | 松下知识产权经营株式会社 | Pulse arc welding control method and pulse arc welding device |
| CN110073301A (en) * | 2017-08-02 | 2019-07-30 | 强力物联网投资组合2016有限公司 | The detection method and system under data collection environment in industrial Internet of Things with large data sets |
| CN110560847A (en) * | 2019-09-05 | 2019-12-13 | 奇瑞新能源汽车股份有限公司 | Method for optimizing welding parameters of automobile frame |
| WO2020100939A1 (en) * | 2018-11-14 | 2020-05-22 | 日立オートモティブシステムズ株式会社 | Control device for variable valve timing mechanism and control method thereof |
| CN111819021A (en) * | 2018-03-30 | 2020-10-23 | 株式会社神户制钢所 | Welding device and welding method using same |
| CN111902234A (en) * | 2018-03-28 | 2020-11-06 | 株式会社神户制钢所 | Method and device for controlling gas-shielded arc welding |
| CN112589236A (en) * | 2019-10-02 | 2021-04-02 | 林肯环球股份有限公司 | Customized shielding gas welding apparatus and method |
| CN113237236A (en) * | 2021-04-21 | 2021-08-10 | 宁波方太厨具有限公司 | Intelligent combustion control method and working system of gas water heater |
| CN114424167A (en) * | 2019-05-06 | 2022-04-29 | 强力物联网投资组合2016有限公司 | Platform for promoting intelligent development of industrial Internet of things system |
| US20220135406A1 (en) * | 2020-10-16 | 2022-05-05 | Third Pole, Inc. | Nitric oxide generation process controls |
| US20220280964A1 (en) * | 2020-06-22 | 2022-09-08 | Jiangsu University | Low-cost intelligent integrated spraying pressure and flow detection device and method |
| 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 |
| CN116038076A (en) * | 2023-03-28 | 2023-05-02 | 苏芯物联技术(南京)有限公司 | Welding shielding gas control method based on scene matching |
| CN116441674A (en) * | 2023-06-14 | 2023-07-18 | 苏芯物联技术(南京)有限公司 | High-precision welding airflow control system and control method |
| CN117226224A (en) * | 2023-11-16 | 2023-12-15 | 苏芯物联技术(南京)有限公司 | Welding protection air flow real-time intelligent control method |
-
2023
- 2023-12-20 CN CN202311753915.5A patent/CN117428302B/en active Active
Patent Citations (35)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS60122234A (en) * | 1983-12-07 | 1985-06-29 | Nippon Soken Inc | Air-fuel ratio control equipment for internal- combustion engine |
| JP2000074830A (en) * | 1998-08-28 | 2000-03-14 | Horiba Ltd | High-speed measuring method and measuring system for temperature, concentration and chemical species by use of semiconductor laser spectroscopy |
| JP2000257495A (en) * | 1999-03-10 | 2000-09-19 | Isuzu Motors Ltd | Fuel injection method for engine and its apparatus |
| US6429404B1 (en) * | 1999-08-17 | 2002-08-06 | Central Motor Wheel Co., Ltd. | Method and apparatus for determining seam tracking control of arc welding |
| JP2002239733A (en) * | 2001-02-19 | 2002-08-28 | Chuo Motor Wheel Co Ltd | Weld line profiling judging device and profiling control device |
| EP1249298A2 (en) * | 2001-04-10 | 2002-10-16 | BADISCHE DRAHTWERKE GmbH | Method and apparatus for assessing the quality of and control and monitor pressure welding and fusion welding processes |
| US20030080101A1 (en) * | 2001-10-30 | 2003-05-01 | Flood Dale A. | Welding current control system and method |
| US20030079719A1 (en) * | 2001-10-31 | 2003-05-01 | Yip James W. | Air flow target determination |
| GB0225164D0 (en) * | 2001-10-31 | 2002-12-11 | Daimler Chrysler Corp | Air flow target determination |
| WO2003042638A1 (en) * | 2001-11-13 | 2003-05-22 | Kazumasa Ohnishi | Method of measuring flow of fluid moving in pipe or groove-like flow passage |
| US20050274166A1 (en) * | 2004-06-11 | 2005-12-15 | Min Wu | Calibration method for digital air pressure gauge |
| JP2009044867A (en) * | 2007-08-09 | 2009-02-26 | Panasonic Corp | Motor drive, integrated circuit device and motor apparatus |
| CN104889534A (en) * | 2010-02-23 | 2015-09-09 | 伊利诺斯工具制品有限公司 | Wire feed speed referenced variable frequency pulse welding system |
| US20120035745A1 (en) * | 2010-08-06 | 2012-02-09 | Fanuc Corporation | Processing information acquisition system in processing machine supplying processing point with energy or material |
| CN106573325A (en) * | 2014-06-25 | 2017-04-19 | 伊利诺斯工具制品有限公司 | System and method for controlling wire feed speed |
| CN104142377A (en) * | 2014-07-17 | 2014-11-12 | 上海冷杉精密仪器有限公司 | Low-cost gas path system of gas chromatograph and achieving method of low-cost gas path system |
| WO2016065874A1 (en) * | 2014-10-29 | 2016-05-06 | 中山大洋电机股份有限公司 | Method for controlling constant air volume of electrical device with air exhaust or air supply function |
| US20170038089A1 (en) * | 2014-10-29 | 2017-02-09 | Zhongshan Broad-Ocean Motor Co., Ltd. | Method for controlling constant air volume of electric device adapted to exhaust or supply air |
| KR20160069416A (en) * | 2014-12-08 | 2016-06-16 | 현대오트론 주식회사 | Electric current control apparatus of motor and method thereof |
| CN106392265A (en) * | 2015-07-31 | 2017-02-15 | 株式会社神户制钢所 | Gas welding method and gas welding device |
| CN108290240A (en) * | 2016-01-21 | 2018-07-17 | 松下知识产权经营株式会社 | Pulse arc welding control method and pulse arc welding device |
| CN110073301A (en) * | 2017-08-02 | 2019-07-30 | 强力物联网投资组合2016有限公司 | The detection method and system under data collection environment in industrial Internet of Things with large data sets |
| CN111902234A (en) * | 2018-03-28 | 2020-11-06 | 株式会社神户制钢所 | Method and device for controlling gas-shielded arc welding |
| CN111819021A (en) * | 2018-03-30 | 2020-10-23 | 株式会社神户制钢所 | Welding device and welding method using same |
| WO2020100939A1 (en) * | 2018-11-14 | 2020-05-22 | 日立オートモティブシステムズ株式会社 | Control device for variable valve timing mechanism and control method thereof |
| CN114424167A (en) * | 2019-05-06 | 2022-04-29 | 强力物联网投资组合2016有限公司 | Platform for promoting intelligent development of industrial Internet of things system |
| CN110560847A (en) * | 2019-09-05 | 2019-12-13 | 奇瑞新能源汽车股份有限公司 | Method for optimizing welding parameters of automobile frame |
| CN112589236A (en) * | 2019-10-02 | 2021-04-02 | 林肯环球股份有限公司 | Customized shielding gas welding apparatus and method |
| US20220280964A1 (en) * | 2020-06-22 | 2022-09-08 | Jiangsu University | Low-cost intelligent integrated spraying pressure and flow detection device and method |
| US20220135406A1 (en) * | 2020-10-16 | 2022-05-05 | Third Pole, Inc. | Nitric oxide generation process controls |
| CN113237236A (en) * | 2021-04-21 | 2021-08-10 | 宁波方太厨具有限公司 | Intelligent combustion control method and working system of gas water heater |
| 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 |
| CN116038076A (en) * | 2023-03-28 | 2023-05-02 | 苏芯物联技术(南京)有限公司 | Welding shielding gas control method based on scene matching |
| CN116441674A (en) * | 2023-06-14 | 2023-07-18 | 苏芯物联技术(南京)有限公司 | High-precision welding airflow control system and control method |
| CN117226224A (en) * | 2023-11-16 | 2023-12-15 | 苏芯物联技术(南京)有限公司 | Welding protection air flow real-time intelligent control method |
Non-Patent Citations (2)
| Title |
|---|
| 曹鹏;李衍锐;: "毕托巴流量计在合成气流量监测中的应用及算法优化", 智慧工厂, no. 04, 15 April 2019 (2019-04-15) * |
| 来旭辉;许燕;周建平;伊里哈木・阿布都热木;: "基于RBF网络的自适应熔焊插补容错算法", 焊接学报, no. 10, 25 October 2018 (2018-10-25) * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117428302B (en) | 2024-02-20 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN114185265B (en) | Large-scale opening jet flow wind tunnel ultrasonic speed constant total pressure continuous variable Mach number control method | |
| CN107152551B (en) | A kind of Regulation Control method and Regulation Control device | |
| CN117428302B (en) | Intelligent dynamic control method and system for air supply flow rate of welded pipeline | |
| CN113311881A (en) | Mass flow controller and flow control method | |
| CN103415818B (en) | Control device for the method and apparatus of signal filtering and for process | |
| CN111058511A (en) | Constant pressure water supply system | |
| CN107765716A (en) | A kind of double loop control of flow control valve | |
| CN115388329A (en) | Gas cylinder gas supply device and pressure control method thereof | |
| CN101943888B (en) | Method for controlling output of belt weigher system | |
| CN112875830A (en) | Automatic control method and system for pH value of inlet of secondary reverse osmosis system | |
| CN112718877A (en) | Automatic optimization system and method for temper mill rolling force meter | |
| CN105785760B (en) | A kind of annealing furnace clean circulating water hardness automatic control system and its method | |
| JPH09182534A (en) | Apparatus for mixing liquid fertilizer for irrigation | |
| CN113422277B (en) | Device and method for automatically calibrating output power of laser in real time | |
| US5347105A (en) | Welding controller | |
| CN114273463B (en) | Automatic multi-pass straightening method for steel plate | |
| CN106980329A (en) | A kind of glass furnace for pure oxygen combustion oxygen flow automatic control system | |
| CN117428303B (en) | Quick and accurate control method for proportional valve for welding pipeline gas supply | |
| CN114371611B (en) | PID (proportion integration differentiation) optimization control method for life test bed of compressor based on artificial intelligence | |
| CN108980438B (en) | Bivalve Staged cotrol method and control device | |
| JP2019177400A (en) | Plate thickness control method and device of metal plate, and method and equipment for manufacturing metal plate | |
| CN109534493A (en) | A kind of the aeration precise control system and its control method of sewage treatment | |
| JPH0573917B2 (en) | ||
| CN204097502U (en) | A kind of steel-making blowing oxygen climbing flow rate control device | |
| CN110907120A (en) | Real-time feedback control method for pressure drop ratio of outlet of injection type nacelle |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |