CN117340388A - Work management method and system for variable-frequency electric welding machine - Google Patents
Work management method and system for variable-frequency electric welding machine Download PDFInfo
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- CN117340388A CN117340388A CN202311338547.8A CN202311338547A CN117340388A CN 117340388 A CN117340388 A CN 117340388A CN 202311338547 A CN202311338547 A CN 202311338547A CN 117340388 A CN117340388 A CN 117340388A
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- 238000003466 welding Methods 0.000 title claims abstract description 78
- 238000007726 management method Methods 0.000 title claims abstract description 64
- 230000005540 biological transmission Effects 0.000 claims abstract description 21
- 238000005259 measurement Methods 0.000 claims abstract description 10
- 238000004364 calculation method Methods 0.000 claims abstract description 7
- 238000004458 analytical method Methods 0.000 claims abstract description 6
- 238000005070 sampling Methods 0.000 claims description 62
- 238000000034 method Methods 0.000 claims description 22
- 230000002159 abnormal effect Effects 0.000 claims description 3
- 239000002699 waste material Substances 0.000 abstract description 2
- 229910000831 Steel Inorganic materials 0.000 description 2
- 239000010959 steel Substances 0.000 description 2
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012958 reprocessing Methods 0.000 description 1
Classifications
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- 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
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- 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
- B23K9/095—Monitoring or automatic control of welding parameters
-
- 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
- B23K9/095—Monitoring or automatic control of welding parameters
- B23K9/0953—Monitoring or automatic control of welding parameters using computing means
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Plasma & Fusion (AREA)
- Mechanical Engineering (AREA)
- Theoretical Computer Science (AREA)
- Arc Welding Control (AREA)
Abstract
The invention discloses a work management method and a system of a variable-frequency electric welding machine, wherein the system comprises a local controller, a wireless transmission network, a memory, a data sampler, a cloud management system and a receiving terminal; the data sampler is used for collecting working current, working voltage and wire feeding speed data; the local controller is used for local calculation and analysis; the memory is used for storing the measured data; the wireless transmission network is used for transmitting the measured data to the cloud management system; the cloud management system is used for analyzing fault reasons of the variable-frequency electric welding machine according to the received data; the receiving terminal wirelessly receives the fault reasons of the variable-frequency electric welding machine transmitted by the cloud management system. According to the invention, the variable data acquisition frequency is adopted according to specific conditions, so that the waste of calculation force resources is avoided. The common operation is only carried out on a local controller, and measurement data are transmitted to the cloud management system for analysis only under set conditions, so that the cloud management system is responsible for management of a plurality of variable-frequency electric welding machines as much as possible.
Description
Technical Field
The invention relates to the technical field of electric welding machines, in particular to a method and a system for managing work of a variable-frequency electric welding machine.
Background
Currently, with the development of socioeconomic, the infrastructure of bridges, roads and the like is in a rapid growth state. The infrastructures all need to use a large amount of steel, and the variable-frequency electric welding machine is needed for reprocessing during the utilization of the steel, so that the variable-frequency electric welding machine is an essential main tool for the infrastructures.
In the working process, the electric welding machine production enterprises need to remotely monitor the working state of the variable-frequency electric welding machine, namely: the data in the working process of the variable-frequency electric welding machine are remotely collected, when the variable-frequency electric welding machine fails, the data can be analyzed according to the collected data, and the possible failure generated in the operation process of the variable-frequency electric welding machine is judged, so that a user can be guided to repair the electric welding machine control system. However, in the process, if the fixed data acquisition frequency and the remote transmission are always adopted, the calculation force resource is wasted.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a work management method of a variable frequency electric welding machine, which can save calculation resources.
In order to achieve the above purpose, the technical scheme provided by the invention is as follows:
a work management method of a variable frequency electric welding machine comprises the following steps:
initializing: initializing working current, a memory of a variable frequency electric welding machine, a wireless network and sampling interval time t;
interval sampling control: the data sampler samples working current data according to sampling interval time t and acquires the variation of working current in adjacent time, wherein the working current variation D=working current measurement value x-initial set value a, the current working current variation condition is judged by the working current variation D and the working current measurement value x together, and the sampling interval level at the moment is determined;
and (3) data sampling transmission control: after working current data are sampled, the absolute value |x| of a working current measured value x and the absolute value |a| of an initial set value a are obtained, and when the absolute value |x| is not less than the absolute value |a|, the working current measured value x is transmitted to a cloud management system through a wireless network; when |x| < |a|, storing the working current measured value x into a memory of the variable-frequency electric welding machine;
if the cloud management system receives the working current measured value x, the cloud management system analyzes the working current measured value to obtain a fault reason of the variable-frequency electric welding machine, and transmits the fault reason to the receiving terminal, so that an operator can know the fault reason of the variable-frequency electric welding machine through the receiving terminal conveniently.
Further, determining the sampling interval level includes:
when the absolute value |D| of the working current variation is in a preset range, judging that the variable-frequency electric welding machine works normally, keeping the original data sampling time interval t unchanged, and setting the data sampling interval time scaling factor to be 1;
when the working current measured value x is larger than the initial set value a and the absolute value |D| of the working current variation is larger, judging that the variable-frequency electric welding machine is in an abnormal working state, at the moment, reducing the data sampling interval time t and the scaling factor, and improving the sampling frequency;
when the working current measured value x is smaller than the initial set value a and the absolute value |D| of the working current variation is larger, judging that the variable-frequency electric welding machine is in a normal working state, increasing the data sampling interval time t, and reducing the sampling frequency;
when one machine period sampling is finished, namely after the program runs once, according to the working state of the variable-frequency electric welding machine at the time, the data sampling interval time t is multiplied by the corresponding scaling factor to sample, and the data sampling interval time is correspondingly shortened or increased, so that the machine period sampling is finished.
Further, the initialization process also comprises an initialization working voltage;
in the data sampling transmission control process, the method further comprises the following steps: the data sampler samples working voltage data according to sampling interval time t and obtains the variation of the working voltage in adjacent time;
when |x| < |a|, performing the operating voltage data sampling transmission control, including: obtaining the absolute value |y| of the working voltage measured value y and the absolute value |b| of the initial set value b, and transmitting the working voltage measured value y to a cloud management system through a wireless network when the absolute value |y| is not less than the absolute value |b|; when the y is less than the b, the working voltage measured value y is stored into a memory of the variable-frequency electric welding machine;
if the cloud management system receives the working voltage measured value y, the cloud management system analyzes the working voltage measured value to obtain a fault reason of the variable-frequency electric welding machine, and transmits the fault reason to the receiving terminal, so that an operator can know the fault reason of the variable-frequency electric welding machine through the receiving terminal conveniently.
Further, the initialization process also comprises initializing wire feeding speed;
in the data sampling transmission control process, the method further comprises the following steps: the data sampler samples wire feeding speed data according to sampling interval time t and obtains the variation of the wire feeding speed in adjacent time;
when |y| < |b|, performing wire feed speed data sampling transmission control, including: obtaining the absolute value |z| of the wire feeding speed measured value z and the absolute value |c| of the initial set value c, and transmitting the wire feeding speed measured value z to a cloud management system through a wireless network when the absolute value |z| is not less than the absolute value |c|; when |z| < |c|, saving the measured value z of the wire feeding speed into a memory of the variable-frequency electric welding machine;
if the cloud management system receives the wire feeding speed measured value z, the cloud management system analyzes the wire feeding speed measured value to obtain a fault reason of the variable-frequency electric welding machine, and transmits the fault reason to the receiving terminal, so that an operator can know the fault reason of the variable-frequency electric welding machine through the receiving terminal conveniently.
In order to achieve the above objective, the present invention further provides a variable frequency electric welding machine work management system, configured to implement the above method for variable frequency electric welding machine work management, where the system includes a local controller, a wireless transmission network, a memory, a data sampler, a cloud management system, and a receiving terminal;
wherein,
the data sampler is used for collecting working current, working voltage and wire feeding speed data;
the local controller is used for local calculation and analysis;
the memory is used for storing the measured data;
the wireless transmission network is used for transmitting the measured data to the cloud management system;
the cloud management system is used for analyzing fault reasons of the variable-frequency electric welding machine according to the received data;
and the receiving terminal wirelessly receives the fault reason of the variable-frequency electric welding machine transmitted by the cloud management system.
Further, the receiving terminal is a mobile phone or a tablet computer.
Compared with the prior art, the scheme has the following principle and advantages:
1. and determining the sampling interval level according to the working current variation D and the working current measurement value x, namely adopting the changed data acquisition frequency according to specific conditions, so as to avoid the waste of computational power resources.
2. The common operation is only carried out on a local controller, and measurement data are transmitted to the cloud management system for analysis only under set conditions, so that the cloud management system is responsible for management of a plurality of variable-frequency electric welding machines as much as possible.
3. In addition to the operating current, the operating voltage and wire feed speed are included, and the cause of the fault of the variable frequency welder is analyzed from multiple dimensions.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the prior art, the services required in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the figures in the following description are only some embodiments of the present invention, and that other figures can be obtained according to these figures without inventive effort to a person skilled in the art.
FIG. 1 is a connection block diagram of a work management system of a variable frequency electric welding machine of the present invention;
fig. 2 is a schematic flow chart of a method for managing operation of a variable frequency electric welding machine.
Reference numerals:
1-a local controller; 2-a wireless transmission network; 3-memory; a 4-data sampler; 5-a cloud management system; 6-receiving terminal.
Detailed Description
The invention is further illustrated by the following examples:
as shown in fig. 1, the work management system of a variable frequency electric welding machine according to the present embodiment includes a local controller 1, a wireless transmission network 2, a memory 3, a data sampler 4, a cloud management system 5, and a receiving terminal 6;
wherein,
the data sampler 4 is used for collecting working current, working voltage and wire feeding speed data;
the local controller 1 is used for local calculation and analysis;
the memory 3 is used for storing the measured data;
the wireless transmission network 2 is used for sending the measured data to the cloud management system 5;
the cloud management system 5 is used for analyzing the fault reason of the variable-frequency electric welding machine according to the received data;
the receiving terminal 6 wirelessly receives the fault cause of the variable frequency electric welding machine transmitted by the cloud management system 5.
As shown in fig. 2, the system according to the present embodiment works as follows:
initializing: initializing working current, working voltage, wire feeding speed, a memory 3 of a variable-frequency electric welding machine, a wireless network and sampling interval time t;
interval sampling control: the data sampler 4 samples working current, working voltage and wire feeding speed data according to sampling interval time t, and obtains the variation of the working current, the working voltage and the wire feeding speed in adjacent time, wherein the working current variation D=working current measurement value x-initial set value a, the working current variation D and the working current measurement value x jointly judge the current working current variation condition, and the sampling interval level at the moment is determined;
specifically, in the present embodiment, determining the sampling interval level includes:
when the absolute value |D| of the working current variation is in a preset range, judging that the variable-frequency electric welding machine works normally, keeping the original data sampling time interval t unchanged, and setting the data sampling interval time scaling factor to be 1;
when the working current measured value x is larger than the initial set value a and the absolute value |D| of the working current variation is larger, judging that the variable-frequency electric welding machine is in an abnormal working state, at the moment, reducing the data sampling interval time t and the scaling factor, and improving the sampling frequency;
when the working current measured value x is smaller than the initial set value a and the absolute value |D| of the working current variation is larger, judging that the variable-frequency electric welding machine is in a normal working state, increasing the data sampling interval time t, and reducing the sampling frequency;
when one machine period sampling is finished, namely after the program runs once, according to the working state of the variable-frequency electric welding machine at the time, the data sampling interval time t is multiplied by the corresponding scaling factor to sample, and the data sampling interval time is correspondingly shortened or increased, so that the machine period sampling is finished.
And (3) data sampling transmission control: after sampling the working current data, obtaining the absolute value |x| of the working current measured value x and the absolute value |a| of the initial set value a, and transmitting the working current measured value x to the cloud management system 5 through a wireless network when the absolute value |x| is not less than the absolute value |a|;
after the cloud management system 5 receives the working current measured value x, the cloud management system 5 analyzes the working current measured value to obtain a fault reason of the variable-frequency electric welding machine, and transmits the fault reason to the receiving terminal 6, so that an operator can know the fault reason of the variable-frequency electric welding machine through the receiving terminal 6 conveniently. In this embodiment, the receiving terminal 6 is a mobile phone.
When the value of the working current measured value x is not less than the value of the working current measured value x, the working current measured value x is stored in a memory 3 of the variable-frequency electric welding machine, the absolute value of the working voltage measured value y is obtained, and the absolute value of the working voltage measured value y is equal to or greater than the absolute value of the initial set value b, and when the value of the working voltage measured value y is not less than the value of the working voltage measured value b, the working voltage measured value y is transmitted to a cloud management system 5 through a wireless network; after the cloud management system 5 receives the working voltage measured value y, the cloud management system 5 analyzes the working voltage measured value to obtain a fault reason of the variable-frequency electric welding machine, and transmits the fault reason to the receiving terminal 6, so that an operator can know the fault reason of the variable-frequency electric welding machine through the receiving terminal 6 conveniently.
When the value of the measured value y is not less than the value of the measured value b, the measured value y of the working voltage is stored in a memory 3 of the variable-frequency electric welding machine, the absolute value of the measured value z of the wire feeding speed is obtained, and the absolute value of the measured value c of the initial set value c is obtained, and when the value of the measured value z is not less than the value of the measured value c, the measured value z of the wire feeding speed is transmitted to a cloud management system 5 through a wireless network; after the cloud management system 5 receives the wire feeding speed measured value z, the cloud management system 5 analyzes the wire feeding speed measured value to obtain a fault reason of the variable-frequency electric welding machine, and transmits the fault reason to the receiving terminal 6, so that an operator can know the fault reason of the variable-frequency electric welding machine through the receiving terminal 6 conveniently.
When |z| < |c|, then the wire feed speed measurement z is saved to the variable frequency welder's memory 3.
The above embodiments are only preferred embodiments of the present invention, and are not intended to limit the scope of the present invention, so variations in shape and principles of the present invention should be covered.
Claims (6)
1. The work management method of the variable-frequency electric welding machine is characterized by comprising the following steps of:
initializing: initializing working current, a memory of a variable frequency electric welding machine, a wireless network and sampling interval time t;
interval sampling control: the data sampler samples working current data according to sampling interval time t and acquires the variation of working current in adjacent time, wherein the working current variation D=working current measurement value x-initial set value a, the current working current variation condition is judged by the working current variation D and the working current measurement value x together, and the sampling interval level at the moment is determined;
and (3) data sampling transmission control: after working current data are sampled, the absolute value |x| of a working current measured value x and the absolute value |a| of an initial set value a are obtained, and when the absolute value |x| is not less than the absolute value |a|, the working current measured value x is transmitted to a cloud management system through a wireless network; when |x| < |a|, storing the working current measured value x into a memory of the variable-frequency electric welding machine;
if the cloud management system receives the working current measured value x, the cloud management system analyzes the working current measured value to obtain a fault reason of the variable-frequency electric welding machine, and transmits the fault reason to the receiving terminal, so that an operator can know the fault reason of the variable-frequency electric welding machine through the receiving terminal conveniently.
2. The method of operation management for a variable frequency electric welding machine of claim 1, wherein determining the sampling interval level comprises:
when the absolute value |D| of the working current variation is in a preset range, judging that the variable-frequency electric welding machine works normally, keeping the original data sampling time interval t unchanged, and setting the data sampling interval time scaling factor to be 1;
when the working current measured value x is larger than the initial set value a and the absolute value |D| of the working current variation is larger, judging that the variable-frequency electric welding machine is in an abnormal working state, at the moment, reducing the data sampling interval time t and the scaling factor, and improving the sampling frequency;
when the working current measured value x is smaller than the initial set value a and the absolute value |D| of the working current variation is larger, judging that the variable-frequency electric welding machine is in a normal working state, increasing the data sampling interval time t, and reducing the sampling frequency;
when one machine period sampling is finished, namely after the program runs once, according to the working state of the variable-frequency electric welding machine at the time, the data sampling interval time t is multiplied by the corresponding scaling factor to sample, and the data sampling interval time is correspondingly shortened or increased, so that the machine period sampling is finished.
3. The method for managing operation of a variable frequency electric welding machine according to claim 1, wherein the initialization process further comprises an initialization operation voltage;
in the data sampling transmission control process, the method further comprises the following steps: the data sampler samples working voltage data according to sampling interval time t and obtains the variation of the working voltage in adjacent time;
when |x| < |a|, performing the operating voltage data sampling transmission control, including: obtaining the absolute value |y| of the working voltage measured value y and the absolute value |b| of the initial set value b, and transmitting the working voltage measured value y to a cloud management system through a wireless network when the absolute value |y| is not less than the absolute value |b|; when the y is less than the b, the working voltage measured value y is stored into a memory of the variable-frequency electric welding machine;
if the cloud management system receives the working voltage measured value y, the cloud management system analyzes the working voltage measured value to obtain a fault reason of the variable-frequency electric welding machine, and transmits the fault reason to the receiving terminal, so that an operator can know the fault reason of the variable-frequency electric welding machine through the receiving terminal conveniently.
4. The method for managing operation of a variable frequency electric welding machine according to claim 3, wherein the initializing process further comprises initializing a wire feeding speed;
in the data sampling transmission control process, the method further comprises the following steps: the data sampler samples wire feeding speed data according to sampling interval time t and obtains the variation of the wire feeding speed in adjacent time;
when |y| < |b|, performing wire feed speed data sampling transmission control, including: obtaining the absolute value |z| of the wire feeding speed measured value z and the absolute value |c| of the initial set value c, and transmitting the wire feeding speed measured value z to a cloud management system through a wireless network when the absolute value |z| is not less than the absolute value |c|; when |z| < |c|, saving the measured value z of the wire feeding speed into a memory of the variable-frequency electric welding machine;
if the cloud management system receives the wire feeding speed measured value z, the cloud management system analyzes the wire feeding speed measured value to obtain a fault reason of the variable-frequency electric welding machine, and transmits the fault reason to the receiving terminal, so that an operator can know the fault reason of the variable-frequency electric welding machine through the receiving terminal conveniently.
5. A variable frequency electric welding machine operation management system, characterized by being configured to implement the variable frequency electric welding machine operation management method as claimed in any one of claims 1 to 4, comprising: the system comprises a local controller, a wireless transmission network, a memory, a data sampler, a cloud management system and a receiving terminal;
wherein,
the data sampler is used for collecting working current, working voltage and wire feeding speed data;
the local controller is used for local calculation and analysis;
the memory is used for storing the measured data;
the wireless transmission network is used for transmitting the measured data to the cloud management system;
the cloud management system is used for analyzing fault reasons of the variable-frequency electric welding machine according to the received data;
and the receiving terminal wirelessly receives the fault reason of the variable-frequency electric welding machine transmitted by the cloud management system.
6. The work management system of a variable frequency electric welding machine according to claim 5, wherein the receiving terminal is a mobile phone or a tablet computer.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311338547.8A CN117340388A (en) | 2023-10-16 | 2023-10-16 | Work management method and system for variable-frequency electric welding machine |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311338547.8A CN117340388A (en) | 2023-10-16 | 2023-10-16 | Work management method and system for variable-frequency electric welding machine |
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| Publication Number | Publication Date |
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| CN117340388A true CN117340388A (en) | 2024-01-05 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN202311338547.8A Pending CN117340388A (en) | 2023-10-16 | 2023-10-16 | Work management method and system for variable-frequency electric welding machine |
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| CN (1) | CN117340388A (en) |
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- 2023-10-16 CN CN202311338547.8A patent/CN117340388A/en active Pending
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