WO2018179592A1

WO2018179592A1 - Welding condition derivation device, welding power source device, and welding technique learning device

Info

Publication number: WO2018179592A1
Application number: PCT/JP2017/043390
Authority: WO
Inventors: 和道細谷; 雅徳宮城
Original assignee: 株式会社日立製作所
Priority date: 2017-03-31
Filing date: 2017-12-04
Publication date: 2018-10-04
Also published as: JP2020108894A

Abstract

Provided is a welding condition derivation device that enables a welder to perform welding under welding conditions appropriate to the skill of the welder. A welding condition derivation device 50 is provided with the following: a database 51 that records data pertaining to a plurality of welding jobs corresponding to a plurality of skill levels indicating the skill of the welder who performs welding of a portion to be welded; an input unit 52 into which input information including the skill level is inputted; and a derivation unit 53 that derives welding conditions by acquiring, from the database 51, data corresponding to the skill level inputted to the input unit 52.

Description

Welding operation condition deriving device, welding power source device, and welding technique learning device

The present invention relates to a welding work condition deriving device, a welding power source device, and a welding technique learning device.

Conventionally, an invention relating to a welding work management / recording system using an RFID tag has been known (see Patent Document 1 below). This conventional system includes a database, RFID tag registration means, an information terminal, and a network. The said database memorize | stores the 1st welding condition information containing the welding condition data containing the welding number of a welding part, and the information regarding a welding method.

The RFID tag registration means stores in the RFID tag for welding part in advance the second welding condition information including at least RFID tag identification information for identifying the RFID tag for welding part before welding. The RFID tag registering unit associates the second welding condition information with the first welding condition information including the specific welding number in the database.

The information terminal reads the second welding condition information from the welded RFID tag affixed to the vicinity of the welded part of the welding object or a welding work instruction of the welded part. Further, the information terminal displays the welding condition data on the display unit based on the read second welding condition information. The network connects the information terminal and the database in a connectable manner.

The information terminal allows the welding operator to confirm the welding condition data for the welded part before starting the welding work for the welded part. Further, the information terminal stores a record relating to the welding condition data input from the input operation unit of the information terminal by a welding operator as welding record information in the database via the network (the same document, claim). (See 1 etc.).

The welding condition data includes the material to be welded, the thickness of the material to be welded, the welding method, the type (material) of the welding rod, the diameter of the welding rod, the current during welding, the preheating temperature, the type of shield gas, and the shield. Includes gas flow rate, holding temperature of post-weld heat treatment, temperature holding time of post-weld heat treatment, heating / cooling rate of post-weld heat treatment, welding qualification code set corresponding to each required welding qualification (Id., Paragraph) See 0022).

According to this conventional system, it is easy to confirm the welding conditions of the welded portion, and welding records can be input at the welding work site, so that human errors in the welding work can be reduced or prevented (see the same document, paragraph 0010, etc.). .

JP 2008-59116 A

The conventional welding work management / recording system using an RFID tag enables a welding operator to confirm the welding condition data for the welded part before starting the welding work of the welded part. However, recently, the number of skilled and highly skilled welding workers is decreasing, and the number of welding workers who are relatively inexperienced is increasing. For this reason, when the designated welding work condition does not match the skill of the welding operator, it may be difficult to perform a welding work that matches the welding work condition.

The present invention has been made in view of the above problems, and includes a welding work condition derivation device that enables a welding operator to perform welding work under welding work conditions suitable for each skill, and the same. It is an object of the present invention to provide a welding power supply device and a welding technology learning device.

In order to achieve the above object, the welding work condition deriving device of the present invention is a device for deriving welding work conditions of a welded portion to be welded by a semi-automatic welding machine, and is a skill of a welding operator who performs welding of the welded portion. A database in which data related to a plurality of welding operations corresponding to a plurality of skill levels is recorded, an input unit to which input information including the skill level is input, and the skill level input to the input unit A derivation unit that obtains the data from the database and derives the welding work condition.

Thus, in the database of the welding work condition deriving device of the present invention, data relating to a plurality of welding operations corresponding to a plurality of skill levels indicating the skill of the welding operator is recorded. In order to derive a welding work condition and weld a specific welded portion by using a welding work condition deriving device having such a database, first, a welding operator who performs welding of the welded portion to the input portion is welded. Input information including a skill level indicating the skill is input.

When input information including a skill level is input to the input unit, the derivation unit selects data corresponding to the input skill level from among data related to a plurality of welding operations corresponding to the plurality of skill levels recorded in the database. To obtain welding work conditions. Thereby, it is possible to derive welding work conditions corresponding to each skill level for welding workers having a high skill level and welding workers having a low experience level and a low level of experience.

According to the present invention, there is provided a welding work condition deriving device that enables a welding operator to perform a welding work under welding work conditions suitable for each skill, a welding power supply device and a welding technique learning device provided with the welding work condition deriving device. be able to.

The block diagram which shows an example of schematic structure of a semi-automatic welding machine. The block diagram which shows schematic structure of the welding power supply device (welding technique acquisition apparatus) of FIG. The graph which shows an example of the output characteristic of the welding power supply device of FIG. The graph which shows the relationship between the setting welding current of the welding power supply device of FIG. 1, and an output welding current. The graph which shows the relationship between the welding speed and wire protrusion length of the semi-automatic welding machine of FIG. The image figure which shows an example of the display screen of the display part of FIG. The image figure which shows an example of the specification of the welding part displayed on the illustration area | region of FIG. The image figure which shows an example of the specification of the welding part displayed on the illustration area | region of FIG. The image figure which shows an example of the behavior model displayed on the illustration area | region of FIG. The flowchart which shows the elution work condition derivation | leading-out method by the welding work condition derivation | leading-out apparatus of FIG.

Hereinafter, an example of an embodiment of a welding operation condition deriving device of the present invention, a welding power source device and a welding technology learning device having the same will be described with reference to the drawings.

FIG. 1 is a block diagram showing a schematic configuration of a semi-automatic welding machine 100 provided with a welding power source device 20 (welding technique learning device 30) according to the present embodiment. The semi-automatic welding machine 100 is an apparatus for performing semi-automatic arc welding on, for example, a welding portion WP that is a welding portion of a welding object O to be welded, which is used by a welding operator who performs a welding operation. The semi-automatic welding machine 100 includes, for example, a welding torch 10, a welding power source device 20 (welding technique learning device 30), and a feeding device 40.

The welding torch 10 may be referred to as a welding gun, for example, and is a part that is used by a welding operator. Although the cylindrical welding nozzle 11 at the tip of the welding torch 10 is not illustrated, for example, an insulator that electrically insulates the welding material wire W and the welding torch 10 from contact with the wire W. It has a contact tip for passing an electric current through the wire W and an ejection hole for ejecting the shield gas SG. The welding torch 10 projects the wire W from the insulator inside the welding nozzle 11 by a contact tip distance before use.

The welding power supply device 20 of the present embodiment is a power supply device for the semi-automatic welding machine 100 and supplies power to the welding torch 10, the feeding device 40, and the welding object O. Moreover, the welding power supply apparatus 20 is connected to the cylinder etc. which abbreviate | omitted illustration with which the shielding gas SG was filled, for example. The welding power supply device 20 controls, for example, the welding torch 10 and the feeding device 40 to control the supply speed of the welding material wire W and the supply amount of the shield gas SG. Although the details will be described later, the welding power supply device 20 of the present embodiment includes a welding work condition deriving device 50, and is a welding technique learning device 30 that supports the welding work and the skill improvement for the welding worker. It also has a function as.

For example, the feeding device 40 pulls out a wire W of a welding material wound in a coil shape on a cylindrical bobbin 41 and passes the wire W through a hose 42 connecting the welding torch 10 and the feeding device 40 to the welding torch. 10 is sent. The wire W is, for example, a welding wire whose main component is the same metal as the welding object O. Further, the feeding device 40 supplies the shield gas SG supplied from the welding power source device 20 to the welding torch 10 through the hose 42 used for feeding the wire W.

FIG. 2 is a block diagram showing a schematic configuration of the welding power source apparatus 20 shown in FIG. The welding power supply device 20 of the present embodiment mainly includes a welding work condition deriving device 50, an output control unit 21, and a display unit 22. The welding work condition deriving device 50 of this embodiment includes a database 51, an input unit 52, and a deriving unit 53.

The database 51 is configured by, for example, a storage device such as a memory or a hard disk, and records data related to a plurality of welding operations corresponding to a plurality of skill levels indicating the skill of a welding operator who performs welding of the welded portion WP.

The skill level may be, for example, a qualification class based on a certification test standard such as JIS (Japanese Industrial Standards) or WES (Welding Engineering Engineering Society). The skill level may be a grade set based on an arbitrary evaluation item for evaluating the skill of the welding operator, such as the quality of the welded portion WP and the time required for welding. That is, a high skill level indicates that the skill of the welding worker is high, and a low skill level indicates that the skill of the welding worker is low.

The data related to the plurality of welding operations recorded in the database 51 can include, for example, one or more types of data among various types of data of the welding method, filler metal, shield gas, welding power source, and torch rod operation. . Here, the welding method is, for example, a type of welding method such as mag welding, a combination of TIG welding and MAG welding, or self-shielded arc welding. The filler material is, for example, the type of wire W fed to the welding torch 10.

Shield gas is a type of shield gas SG such as argon or carbon dioxide. The welding power source is, for example, a set welding current set in the welding power source device 20 at the time of welding, an output welding current flowing through the base metal that is the wire W and the welding object O during welding, and welding applied to the welded portion WP. Including voltage. The torch bar movement includes, for example, welding speed, wire protrusion length, torch angle, and the like.

The input unit 52 is configured to be able to input input information including a welding worker's skill level by using, for example, a keyboard, a touch panel, and voice recognition. The input information input to the input unit 52 can include the specification of the welded part WP to be welded by the welding operator in addition to the skill level of the welding operator. The specifications of the welded part WP include, for example, the material of the base material that is the welding object O, the joint shape, the groove shape, and the bead shape. In addition, the specifications of the welded portion WP may include the thickness of the base metal, the welding posture, the order of passes, the presence or absence of a backing, the wire diameter, groove angle, route interval, route surface dimensions, shield gas flow rate, etc. Good. Note that the welding posture is, for example, a type such as downward (F), vertical (V), or horizontal (H).

The input information input to the input unit 52 may include, for example, worker information related to the welding operator in addition to the skill level or in addition to the skill level and the specification of the welding part WP. The worker information can include, for example, the height or arm length of the welding worker, the dominant arm, and the like. The worker information may include, for example, name, affiliation, nationality, gender, age, personal identification number, and other personal information of the welding worker.

The derivation unit 53 includes, for example, a calculation unit such as a central processing unit, a storage unit such as a memory and a hard disk, and data and programs recorded in the storage unit. The deriving unit 53 obtains data relating to the welding operation corresponding to the skill level input to the input unit 52 from the database 51 and derives the welding operation condition. The welding work conditions derived by the derivation unit 53 are, for example, the welding method, filler metal, shield gas, welding power source, torch rod operation, torch angle, and the like, as with the data relating to the welding work recorded in the database 51. One or more conditions may be included among various conditions of the wire protrusion length.

The derivation unit 53 uses the specifications of the welded portion WP when the input information input to the input unit 52 includes the specification of the welded portion WP, or when the data regarding the welding operation acquired from the database 51 includes the specification of the welded portion WP. And the data acquired from the database 51, the welding work conditions can be derived. Specifically, the derivation unit 53 includes, for example, the thickness of the base material, the welding posture, the pass order, the presence / absence of the backing, the wire diameter, the groove angle, the route interval, the route surface dimension, the flow rate of the shield gas, and the like. Based on the specifications of the welded portion WP, welding work conditions such as a welding method, filler metal, shield gas, welding power source, torch rod operation, torch angle, welding speed, and wire protruding length can be derived.

When the input information input to the input unit 52 includes worker information related to the welding worker, or when the data related to the welding operation acquired from the database 51 includes worker information, the derivation unit 53 includes the worker information and the database. Based on the data acquired from 51, welding work conditions can be derived. Specifically, the deriving unit 53 can derive welding work conditions such as a torch bar movement based on, for example, the height or arm length of the welding operator, the dominant arm, and other personal information.

When the input information includes the height or arm length of the welding operator, or when the data regarding the welding operation acquired from the database 51 includes the height or arm length of the welding operator, the derivation unit 53 Based on the height or arm length of the worker and the data relating to the welding operation acquired from the database 51, an operation model of the welding operator during welding may be calculated. Such an operation model can be created, for example, by analyzing the operation of a skilled welding engineer with a high skill level. The motion model can include, for example, a motion model that models the movements of the welding operator's arm and wrist.

The deriving unit 53 may derive the welding operation condition based on the specifications of the semi-automatic welding machine 100 in addition to the data related to the welding operation acquired from the database 51 and other information, for example. The specifications of the semi-automatic welder 100 include, for example, a welding voltage set in the welding power source device 20 during welding, and can include a set welding current or a wire feed speed, a torch diameter, and the like.

FIG. 3 is a graph showing an example of the output characteristics of the welding power source device 20, and the set welding current [A] and the wire feed speed [m / min] set in the welding power source device 20 during welding by the semi-automatic welding machine 100. Shows the relationship. The wire feed speed is determined according to the set welding current. That is, for example, the set welding current and the wire feed speed have a direct proportional relationship in which one increases when the other increases and the other decreases when one decreases.

The derivation unit 53 is, for example, based on the relationship between the set welding current of the welding power source apparatus 20 and the wire feed speed, which is the specification of the semi-automatic welding machine 100 as shown in FIG. It is possible to derive welding operation conditions such as the wire protruding length.

FIG. 4 shows the relationship between the set welding current [A] set in the welding power source device 20 and the output welding current [A] flowing through the base material that is the wire W and the welding object O during welding by the semi-automatic welding machine 100. It is a graph which shows. Even if the set welding current set in the welding power source device 20 at the time of welding by the semi-automatic welding machine 100 is constant, the output welding current flowing through the wire W and the base material that is the object to be welded O varies in the protruding length of the wire, etc. Fluctuates due to fluctuations in electrical resistance.

That is, if the wire protrusion length increases, the electrical resistance of the wire W increases and the output welding current decreases. Moreover, if the wire protrusion length decreases, the electrical resistance of the wire W decreases and the output welding current increases. The wire protruding length can be increased or decreased by increasing or decreasing the distance between the welding nozzle 11 at the tip of the welding torch 10 and the base material that is the welding object O by the welding operator.

The derivation unit 53 performs, for example, a welding operation based on the relationship between the set welding current of the welding power source device 20 that is the specification of the semi-automatic welding machine 100 as shown in FIG. 4 and the output welding current flowing in the wire W and the base material. A condition can be derived. Specifically, for example, as shown in FIG. 4, the derivation unit 53 sets an appropriate output welding current value range R1 corresponding to the set welding current value, so that the wire protrusion included in the torch carrying rod operation is set. Welding work conditions such as length can be derived.

FIG. 5 is a graph showing an example of the relationship between the welding speed [cm / min] by the semi-automatic welding machine 100 and the wire protruding length [mm]. For example, the amount of heat input to the welded part WP of the welding object O is determined by the welding speed related to the output welding current flowing through the welded part WP, the welding voltage applied to the welded part WP, and the moving speed of the tip of the welding torch 10. In order to manage the quality of the weld WP, it is necessary to manage the heat input.

The derivation unit 53 can derive the optimum welding speed and the wire protrusion length as the recommended welding condition C1 as shown in FIG. 5 according to the derived set welding current, for example. Further, for example, as shown in FIG. 5, the deriving unit 53 can derive the allowable range of the welding speed and the wire protruding length as the allowable range R2 of the welding work condition according to the derived set welding current. .

The derivation unit 53 can set the welding speed according to the skill level of the welding engineer, for example. Specifically, for example, when the skill level of the welding engineer is equal to or lower than a predetermined level, the derivation unit 53 is within the allowable range R2 of the welding work condition shown in FIG. 5 and is lower than the recommended condition C1. The range of welding speed can be derived as welding work conditions. On the other hand, for example, when the skill level of the welding engineer is equal to or higher than a predetermined level, the derivation unit 53 is within the allowable range R2 of the welding work condition shown in FIG. Can be derived as welding work conditions.

1 and 2, the welding power source device 20 includes the output control unit 21 and the display unit 22 in addition to the welding work condition deriving device 50 as described above. In the welding power supply device 20, the display unit 22 has an arbitrary configuration and can be omitted.

The output control unit 21 controls, for example, the power output by the welding power supply device 20, the shield gas SG, and the image signal in accordance with the welding work condition derived by the welding work condition deriving device 50. The output control unit 21 controls the welding power source device 20 to control the power supplied to the welding torch 10 and the welding object O via the

cables

23, 24, 43, for example. In addition, the output control unit 21 controls the welding power source device 20 to control the shield gas SG supplied to the welding torch 10 via the

hoses

25 and 42, for example. The output control unit 21 outputs an image signal to the display unit 22 connected via a signal line.

When the welding work condition deriving device 50, the welding power source device 20, or the welding technique learning device 30 includes an audio output unit (not shown), the output control unit 21 transmits a signal line to the audio output unit. An audio signal may be output. Further, the welding power source device 20 or the welding technique learning device 30 may not include the display unit 22, but the welding work condition deriving device 50 may include the display unit 22.

That is, the welding work condition deriving device 50 according to the present embodiment may include the display unit 22 that displays the welding work conditions derived by the deriving unit 53. In this case, the derivation unit 53 and the display unit 22 can be connected via a signal line, and an image signal can be output from the derivation unit 53 to the display unit 22. The display unit 22 can be configured by an image display device such as a liquid crystal display device or an organic EL display device, for example. The display unit 22 may include a touch panel on the screen as the input unit 52 of the welding work condition deriving device 50.

FIG. 6 is an image diagram illustrating an example of the display screen 22 a of the display unit 22. The display part 22 is provided with the input part 52 by a touch panel in a part of display screen 22a, for example. In addition to the specifications of the welded portion WP such as the base material 52a, the joint shape 52b, the plate combination 52c, the groove shape 52d, the bead shape 52e, etc. Has an item of skill level 52f for inputting the skill level of the person.

In the example shown in FIG. 6, the display screen 22 a of the display unit 22 has a condition display region 22 b for displaying the welding work condition derived by the welding work condition deriving device 50, for example, adjacent to the input unit 52. is doing. The condition display area 22b has, for example, an illustrated area 22c at the top and an item display area 22d below it. In the illustrated region 22c, for example, a diagram or a graph showing the specification, condition range, operation, and the like of the welded portion WP may be switched and displayed, or these may be displayed side by side. In the item display area 22d, for example, items of welding work conditions such as a welding method 22e, a filler material 22f, a shield gas 22g, a welding power source 22h, and a torch rod operation 22i can be displayed side by side.

7 and 8 are image diagrams showing an example of the specifications of the welded portion WP displayed in the illustrated region 22c of the display unit 22 shown in FIG. In the illustrated area 22c, the display unit 22 includes, for example, a welded joint WP such as a welded joint such as a T joint or a butt joint, a torch diameter D1, a wire protruding length L1, a joint shape dimension, and a base material M1, M2 plate. Thicknesses T1, T2, and torch angle θ can be illustrated. The joint shape dimension includes, for example, a groove angle α, a butt portion dimension R, a route interval G, and the like. The wire protruding length L1 is the contact tip distance in the initial state. Further, the illustrated region 22c may illustrate the penetration of the welded portion WP, the bead shape, or the like as the specification of the welded portion WP.

As shown in FIG. 7, for example, when the welded joint included in the specification of the welded portion WP is a T joint, the illustrated region 22c is formed by the derivation unit 53 based on the specifications of the semi-automatic welding machine 100 such as the torch diameter D1. The torch angle θ and the wire protruding length L1 suitable for welding the derived welded portion WP can be illustrated. Further, as shown in FIG. 8, the illustrated region 22 c is, for example, a groove angle α, a butt portion dimension R, and a groove width in the butt direction when the weld joint included in the specification of the weld portion WP is a butt joint. W1, the groove width W2 in the plate thickness direction, the wire protruding length L1, the torch diameter D1, and the like can be illustrated.

FIG. 9 is an image diagram illustrating an example of an operation model that is an operation displayed in the illustrated region 22c of the display unit 22 illustrated in FIG. As described above, when the operation model at the time of welding by the welding operator is calculated by the derivation unit 53, as shown in FIG. 9, the operation model at the time of welding by the welding operator is displayed in the illustrated region 22c of the display unit 22. M can be illustrated. As described above, the motion model M can be created, for example, by analyzing the motion of a skilled welding engineer with a high skill level. The motion model M can include, for example, a motion model that models the movements of the welding operator's arm and wrist.

More specifically, the welding power source device 20, the welding technique acquisition device 30, or the welding work condition derivation device 50 of the present embodiment measures the welding operation of the welding operator as shown in FIG. An operation information acquisition unit 60 that acquires operation information can be provided. In addition, the welding power supply device 20, the welding technique learning device 30, or the welding work condition derivation device 50 can include an operation comparison unit 70 that calculates comparison information based on a comparison between the operation model M and the operation information. For example, the operation comparison unit 70 can display the calculated comparison information on the display unit 22.

The motion information acquisition unit 60 is not particularly limited, but for example, an imaging device such as a video camera or an infrared camera, a motion capture device or a line-of-sight camera using the imaging device, or various types of devices such as an ultrasonic measurement device or an inertial sensor. A sensor can be used. The operation comparison unit 70 is, for example, similar to the derivation unit 53 of the welding work condition derivation device 50 described above, a computation unit such as a central processing unit, a storage unit such as a memory or a hard disk, and data recorded in the storage unit. It consists of programs. Therefore, a function as the operation comparison unit 70 may be added to the derivation unit 53 illustrated in FIG.

As shown in FIG. 9, the motion model M displayed in the illustrated area 22c of the display unit 22 includes a positional relationship between the welding worker and the welding object O, a movement direction A1 of the welding worker's body, welding by the welding worker. The configuration may be such that the confirmation direction A2 of the part WP is shown. When the operation of the welding operator during the welding operation is complicated, for example, the locus of the tip of the welding torch 10 when welding the welded portion WP may be shown.

For creating the motion model M, it is conceivable to extract and use information such as position and direction from data obtained by tracing the actual welding engineer's motion. However, if the length of the weld line in the object to be welded O is short, the work can be performed within the movable range of the arm, and if it is monotonous such as a straight line even if the length of the weld line is long, the welding torch The direction of movement of 10 is a linear motion parallel to it. Thus, the degree of information necessary to create the motion model M and show it to the welding operator varies depending on the specifications of the welded portion WP. For this reason, the method for acquiring data necessary for creating the behavior model M is not particularly limited, and it is only necessary to select a method for obtaining information appropriately and acquire the data.

Hereinafter, the operation of the welding work condition deriving device 50 of the present embodiment, the welding power source device 20 and the welding technology learning device 30 having the same will be described. FIG. 10 is a flowchart showing the elution work condition deriving method S100 by the welding work condition deriving device 50 shown in FIGS.

As described above, the welding work condition deriving device 50 of the present embodiment is a device for deriving the welding work conditions of the welded portion WP to be welded by the semi-automatic welding machine 100. The welding work condition deriving device 50 mainly includes a database 51, an input unit 52, and a deriving unit 53. The database 51 stores data related to a plurality of welding operations corresponding to a plurality of skill levels indicating the skills of a welding operator who performs welding of the welded portion WP. The input unit 52 receives input information including the skill level of the welding operator. The deriving unit 53 obtains data corresponding to the skill level input to the input unit 52 from the database 51 and derives the welding work condition.

Thus, in the database 51 of the welding work condition deriving device 50 of the present embodiment, data related to a plurality of welding operations corresponding to a plurality of skill levels indicating the skill of the welding operator is recorded. In order to derive a welding operation condition by the welding operation condition deriving device 50 having such a database 51 and weld a specific welding portion WP, first, as shown in FIG. Input information including a skill level indicating a welding skill of a welding operator who welds the welded portion WP to 52 is input.

In the information input step S10, when input information including a skill level is input to the input unit 52, a welding work condition derivation step S20 is performed as shown in FIG. In the welding work condition derivation step S20, the derivation unit 53 acquires data corresponding to the input skill level from among a plurality of welding work data corresponding to the plurality of skill levels recorded in the database 51 to perform welding. Deriving work conditions. Thereby, it is possible to derive welding work conditions corresponding to each skill level for welding workers having a high skill level and welding workers having a low experience level and a low level of experience.

When the welding operation condition is derived in the welding operation condition deriving step S20, a welding operation condition output step S30 is performed as shown in FIG. In the welding operation condition output step S30, the derivation unit 53 can display the welding operation condition derived on the display unit 22 via the output control unit 21, for example, as shown in FIG.

More specifically, the welding operation condition deriving device 50, the welding power source device 20, or the welding technique learning device 30 according to the present embodiment displays the welding operation condition derived by the deriving unit 53 as described above. 22 can be provided. Thereby, the welding operation condition can be visually displayed to the welding operator by the display unit 22, the understanding of the welding operation condition by the welding operator can be deepened, and the quality of the welding portion WP can be further improved.

That is, the display unit 22 displays images as shown in FIGS. 6 to 8 as the specifications of the welded portion WP, displays a graph as shown in FIG. 5 as the condition range, and shows the operation as shown in FIG. A simple operation model M can be displayed. As a result, the welding operator appropriately grasps the positional relationship between the base material that is the object to be welded O and the welding torch 10 and appropriately controls the welding speed and the wire protruding length L1 by the rod movement of the welding torch 10. It is possible to manage the heat input amount of the welded portion WP and improve the welding quality.

Therefore, according to the welding operation condition deriving device 50 of the present embodiment, it becomes possible for the welding operator to perform the welding operation under the welding operation conditions suitable for each skill. In addition, the derivation unit 53 displays the welding work condition on the display unit 22 or displays the welding work condition on the display unit 22, and displays the welding work condition on the display unit 22 by voice or warning sound. May be output. In this case, for example, the voice output unit can provide voice guidance that the welding work condition is within the condition range, or can emit a warning sound when the welding work condition is outside the condition range.

Also, as described above, the welding work condition derivation device 50 of the present embodiment can include the specification of the welded portion WP to be welded by the welding operator as input information input to the input unit 52. In this case, the deriving unit 53 derives the welding work condition based on the specification of the welded portion WP input to the input unit 52 and the data acquired from the database 51 as described above. Thereby, in addition to the skill level of a welding operator, the welding operation condition according to the specification of the welding part WP can be derived | led-out. That is, the quality of the welded portion WP can be further improved by deriving the welding work conditions that match the characteristics of the individual welded portions WP.

Further, in the welding work condition deriving device 50 of the present embodiment, as described above, the specifications of the welded portion WP input to the input unit 52 include the base material, joint shape, groove shape, and bead shape. In this case, these pieces of information can be reflected in the welding work conditions derived by the deriving unit 53. This makes it possible to derive more detailed welding work conditions that match the more detailed characteristics of each welded part WP, deepen the understanding of the welding work conditions by the welding operator, and further improve the quality of the welded part WP. Can do.

Also, the welding work condition deriving device 50 of the present embodiment can include worker information regarding the welding worker as input information input to the input unit 52 as described above. In this case, the deriving unit 53 derives the welding work condition based on the worker information input to the input unit 52 and the data acquired from the database 51. Thereby, in addition to the skill level of a welding operator, the welding operation conditions according to worker information can be derived. That is, the quality of the welded portion WP can be further improved by deriving welding work conditions that match the individual characteristics of the welder.

Further, in the welding work condition deriving device 50 of the present embodiment, as described above, when the worker information input to the input unit 52 includes the height of the welding worker or the length of the arm, these pieces of information are included. Can be reflected in the welding work conditions derived by the deriving unit 53. As a result, it is possible to derive more detailed welding work conditions according to the physical characteristics of each welding worker, making the welding worker conditions more smoothly and easily performed, and improving the quality of the welded portion WP. It can be improved further.

Further, as described above, the welding work condition deriving device 50 according to the present embodiment is based on the height or arm length input to the input unit 52 by the deriving unit 53 and the data acquired from the database 51. An operation model M at the time of welding of the operator can be calculated. Thereby, the welding operator can confirm the operation model M created according to each physical characteristic, and can image a welding operation condition. Thereby, understanding of the welding operation conditions by the welding operator can be deepened, and the quality of the welded portion WP can be further improved.

Further, as described above, the welding work condition deriving device 50 according to the present embodiment can include the movement of the welding worker's arm and wrist in the motion model M calculated by the deriving unit 53. As a result, even a welding worker with a low skill level can learn with the image of the ideal arm and wrist angles and how to move them in order to realize the welding work conditions derived by the derivation unit 53. be able to. Thereby, understanding of the welding operation conditions by the welding operator can be deepened, and the quality of the welded portion WP can be further improved.

Also, in the welding work condition deriving device 50 according to the present embodiment, the deriving unit 53 can derive the welding work conditions based on the specifications of the semi-automatic welding machine 100 as described above. In this case, the deriving unit 53 derives the welding work condition based on the specifications of the semi-automatic welding machine 100 and the data acquired from the database 51. Thereby, in addition to the skill level of a welding operator, the welding operation conditions according to the specification of the semi-automatic welding machine 100 can be derived. That is, by deriving welding work conditions that match the specifications of the semi-automatic welding machine 100, the quality of the welded portion WP can be further improved.

In addition, as described above, the welding work condition deriving device 50 according to the present embodiment has the specifications of the semi-automatic welding machine 100 when the deriving unit 53 derives the welding work conditions based on the specifications of the semi-automatic welding machine 100. The welding voltage and the set welding current or wire feed rate can be included. Thereby, by the derivation | leading-out part 53, the welding operation conditions matched with the setting welding current of the semi-automatic welding machine 100, the welding voltage, and the wire feed speed can be derived | led-out, and the quality of the welding part WP can be improved more. .

In addition, as described above, the welding work condition derivation device 50 according to the present embodiment measures the motion of the welding worker during welding and acquires the motion information, the calculated motion model M, and the acquisition. An operation comparison unit that calculates comparison information based on the comparison with the operation information thus performed and causes the display unit 22 to display the comparison information. Thereby, for example, when the difference between the calculated operation model M and the acquired operation information is within a predetermined range, the display unit 22 and the audio output unit perform correct operations on the welding operator. Can communicate. In addition, when the difference between the calculated motion model M and the acquired motion information exceeds a predetermined range, it is necessary for the welding operator to correct the motion by the display unit 22 or the audio output unit. Can be transmitted.

Further, the welding power supply device 20 and the welding technique learning device 30 of the present embodiment include the welding work condition deriving device 50 described above. Therefore, according to the welding power supply apparatus 20 of this embodiment, it becomes possible for a welding worker to perform welding work on the welding work conditions suitable for each skill.

Moreover, according to the welding technique acquisition apparatus 30 of this embodiment, welding work conditions corresponding to each skill level are derived for a welding worker having a low experience level and a low skill level, and by gaining experience, welding is performed. The operator can be trained in welding technology. In particular, as described above, when the welding work condition deriving device 50 has a configuration as described with reference to FIGS. 1 to 9, the welding worker can imagine the welding work conditions, and the welding worker Can deepen the understanding of welding work conditions, and promote the acquisition of welding techniques.

The embodiment of the present invention has been described in detail with reference to the drawings, but the specific configuration is not limited to this embodiment, and there are design changes and the like without departing from the gist of the present invention. They are also included in the present invention.

DESCRIPTION OF SYMBOLS 20 Welding power supply device 22 Display part 30 Welding technique acquisition apparatus 51 Database 52 Input part 53 Derivation part 50 Welding operation condition derivation apparatus 60 Operation information acquisition part 70 Operation comparison part 100 Semi-automatic welding machine M Operation model WP Welding part

Claims

An apparatus for deriving welding work conditions of a welded portion welded by a semi-automatic welding machine,
A database in which data relating to a plurality of welding operations corresponding to a plurality of skill levels indicating the skill of a welding operator performing welding of the welded portion is recorded;
An input unit to which input information including the skill level is input;
A welding work condition derivation apparatus comprising: a derivation unit that obtains the data corresponding to the skill level input to the input unit from the database and derives the welding work condition.
The input information includes a specification of a welded portion to be welded by the welding operator,
The welding work condition deriving device according to claim 1, wherein the deriving unit derives the welding work condition based on the specification of the welded part and the data input to the input unit.
The input information includes worker information related to the welding worker,
The welding work condition derivation device according to claim 1, wherein the derivation unit derives the welding work condition based on the worker information and the data input to the input unit.
The welding work condition deriving device according to claim 1, wherein the deriving unit derives the welding work condition based on a specification of the semi-automatic welding machine.
The welding work condition deriving device according to claim 2, wherein the specifications of the welded portion include a base material, a joint shape, a groove shape, and a bead shape.
4. The welding work condition deriving device according to claim 3, wherein the worker information includes a height of the welding worker or a length of an arm.
The said derivation | leading-out part calculates the operation | movement model at the time of the welding of the said welding operator based on the said height or the length of the said arm input into the said input part, and the said data. Welding work condition derivation device.
The welding operation condition deriving device according to claim 7, wherein the motion model includes movements of an arm and a wrist of the welding operator.
An operation information acquisition unit that acquires operation information by measuring the operation of the welding operator during welding;
The welding operation condition deriving device according to claim 7, further comprising: an operation comparison unit that calculates comparison information based on a comparison between the operation model and the operation information.
The welding work condition derivation device according to claim 4, wherein the specifications of the semi-automatic welding machine include a welding voltage and a set welding current or a wire feed speed.
The welding work condition deriving device according to claim 1, further comprising a display unit that displays the welding work condition derived by the deriving unit.
A welding power supply apparatus comprising the welding work condition deriving device according to any one of claims 1 to 11.
A welding technology learning device comprising the welding work condition deriving device according to any one of claims 1 to 11.