JP2020108894A - Welding work condition derivation device, welding power source device, and welding technique learning device - Google Patents

Abstract

To provide a welding work condition derivation device which enables a welding worker to perform welding work under welding work conditions suitable for its skill.SOLUTION: A welding work condition derivation device 50 includes: a database 51 in which data regarding multiple welding works corresponding to skill levels indicating skills of welding workers who perform welding of welding parts is recorded; an input part 52 into which input information including the skill level is input; and a derivation part 53 which obtains data corresponding to the skill level input to the input part 52 from the database 51 to derive welding working conditions.SELECTED DRAWING: Figure 2

Description

The present invention relates to a welding work condition derivation device, a welding power supply 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, an RFID tag registration means, an information terminal, and a network. The database stores the welding number of the welded portion and the first welding condition information including the welding condition data including the information about the welding method.

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

The information terminal reads the second welding condition information from the RFID tag for the welding part attached to the vicinity of the welding part of the welding object or the welding operation instruction sheet of the welding part. Further, the information terminal displays the welding condition data on its display based on the read second welding condition information. The network connects the information terminal and the database in a connectable manner.

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

The welding condition data includes the material of the material to be welded, the thickness of the material to be welded, the welding method, the type (material) of the welding rod, the rod diameter of the welding rod, the welding current, the preheating temperature, the type of shield gas, and the shield. 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 (Ibid., Paragraph) See 0022).

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

JP, 2008-59116, A

The conventional welding operation management/recording system using the RFID tag enables a welding operator to confirm the welding condition data for the welding portion before starting the welding operation of the welding portion. However, recently, the number of skilled and highly skilled welding workers is decreasing, and the number of relatively inexperienced welding workers is increasing. Therefore, if the designated welding work conditions do not match the skill of the welding operator, it may be difficult to perform welding work that matches the welding work conditions.

The present invention has been made in view of the above problems, and includes a welding work condition derivation device that enables a welding worker to perform welding work under welding work conditions suited to each skill, and the same. An object is to provide a welding power supply device and a welding technique learning device.

In order to achieve the above-mentioned object, the welding work condition derivation device of the present invention is a device for deriving the welding work condition of a welded part to be welded by a semi-automatic welding machine, and the skill of a welding operator who welds the welded part. Corresponding to the plurality of skill levels, a database in which data relating to a plurality of welding operations 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 deriving unit that obtains the data from the database and derives the welding operation condition.

As described above, in the database of the welding work condition derivation device of the present invention, data regarding a plurality of welding works corresponding to a plurality of skill levels indicating the skill of the welding worker is recorded. In order to derive the welding work conditions and weld a specific welded portion by the welding work condition deriving device equipped with such a database, first, the welding operation of the welding operator who welds the welded portion to the input portion is performed. Input the input information including the skill level indicating the skill.

When the input information including the skill level is input to the input unit, the derivation unit causes the data corresponding to the input skill level from the data regarding the plurality of welding operations corresponding to the plurality of skill levels recorded in the database. To obtain welding work conditions. As a result, it is possible to derive the welding work conditions corresponding to the respective skill levels of the skilled welding worker having a high skill level and the welding worker having little experience and having a low skill level.

ADVANTAGE OF THE INVENTION According to this invention, the welding operation condition derivation|leading-out apparatus with which a welding operator can perform welding work by the welding operation conditions suitable for each skill, and the welding power supply apparatus and welding technique learning apparatus provided with the same are provided. be able to.

The block diagram which shows an example of a schematic structure of a semi-automatic welding machine. The block diagram which shows schematic structure of the welding power supply device (welding technique learning device) 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 set welding current and output welding current of the welding power supply device of FIG. The graph which shows the relationship between the welding speed and wire protrusion length of the semi-automatic welding machine of FIG. FIG. 3 is an image diagram showing an example of a display screen of the display unit 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. FIG. 7 is an image diagram showing an example of an operation model displayed in the illustration area of FIG. 6. FIG. 3 is a flowchart showing a method for deriving elution work conditions by the welding work condition deriving device of FIG. 1.

Hereinafter, an example of an embodiment of a welding work condition derivation device of the present invention, and a welding power supply device and a welding technique learning device including 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 including a welding power supply device 20 (welding technique learning device 30) according to the present embodiment. The semi-automatic welder 100 is, for example, a device used by a welding operator who performs a welding operation, and is a device for performing a semi-automatic arc welding on a welded portion WP which is a welding point of a welding object O to be welded. 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 is sometimes referred to as a welding gun, for example, and is a portion that a welding operator holds in his/her hand. Although not shown, the tubular welding nozzle 11 at the tip of the welding torch 10 is, for example, an insulator that electrically insulates between the wire W of the welding material and the welding torch 10, and is in contact with the wire W. The wire W has a contact tip through which an electric current flows, and an ejection hole for ejecting the shield gas SG. In the welding torch 10 before use, the wire W is projected from the insulator inside the welding nozzle 11 at the contact tip distance.

The welding power supply device 20 of the present embodiment is a power supply device for the semi-automatic welding machine 100, and supplies electric power to the welding torch 10, the feeding device 40, and the welding object O. Further, the welding power supply device 20 is connected to, for example, a cylinder (not shown) filled with the shield gas SG or the like. 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 wire W of the welding material 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 is characterized by including a welding work condition derivation device 50, and a welding technique learning device 30 that assists a welding worker in learning welding work and improving skill. It also has the function of.

The feeding device 40 draws 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 a welding torch. Send to 10. The wire W is, for example, a welding wire whose main component is the same metal as the object to be welded O. Further, the feeding device 40 supplies the shield gas SG supplied from the welding power supply 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 supply device 20 shown in FIG. The welding power supply device 20 of the present embodiment mainly includes a welding work condition derivation device 50, an output control unit 21, and a display unit 22. The welding work condition derivation device 50 of the present embodiment includes a database 51, an input unit 52, and a derivation unit 53.

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

The skill level may be classified according to a certification test standard such as JIS (Japanese Industrial Standards) and WES (Welding Engineering Society). Further, 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 welding worker has a high skill level, and a low skill level indicates that the welding worker has a low skill level.

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

The shield gas is, for example, a type of the shield gas SG such as argon or carbon dioxide gas. 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 a wire W as a filler material and a base material as an object to be welded O at the time of welding, and welding applied to a welded portion WP. Including voltage etc. The torch rod motion 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 the skill level of the welding operator by using, for example, a keyboard, a touch panel, voice recognition, or the like. The input information input to the input unit 52 may include, in addition to the skill level of the welding operator, the specifications of the welding portion WP to be welded by the welding operator. The specifications of the welded portion WP include, for example, the material of the base material that is the object to be welded 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 backing, the wire diameter, the groove angle, the root interval, the root surface dimension, the shield gas flow rate, and the like. Good. 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, in addition to the skill level, or in addition to the skill level and the specification of the welded portion WP, worker information regarding a welding operator. The worker information can include, for example, the height or arm length of the welding worker, the dominant arm, and the like. Further, the worker information may include, for example, name, affiliation, nationality, sex, 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 on the welding work corresponding to the skill level input to the input unit 52 from the database 51 and derives the welding work condition. The welding work condition derived by the deriving unit 53 is, for example, similar to the data on the welding work recorded in the database 51, the welding method, the filler material, the shield gas, the welding power source, the torch movement, the torch angle, and the One or more conditions among various conditions of wire protrusion length may be included.

The derivation unit 53 determines the specifications of the welding unit WP when the input information input to the input unit 52 includes the specifications of the welding unit WP, or when the data regarding the welding work acquired from the database 51 includes the specifications of the welding unit WP. The welding work condition can be derived based on the data acquired from the database 51. Specifically, the derivation unit 53 is, for example, the thickness of the base metal, the welding posture, the order of passes, the presence or absence of backing, the wire diameter, the groove angle, the root interval, the root surface dimension, the shield gas flow rate, and the like. Based on the specifications of the welded portion WP, the welding work conditions such as the welding method, the filler material, the shielding gas, the welding power source, the torch movement, the torch angle, the welding speed, and the wire protrusion length can be derived.

The deriving unit 53 stores the worker information and the database when the input information input to the input unit 52 includes the worker information regarding the welding worker or when the data regarding the welding work acquired from the database 51 includes the worker information. The welding operation condition can be derived based on the data acquired from 51. Specifically, the derivation unit 53 can derive welding work conditions such as the torch movement, based on the height or arm length of the welding worker, the dominant arm, and other personal information.

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

The derivation unit 53 may derive the welding work condition based on the specifications of the semi-automatic welding machine 100, in addition to the data and other information regarding the welding work acquired from the database 51, for example. The specifications of the semi-automatic welding machine 100 include, for example, a welding voltage set in the welding power supply device 20 at the time of welding, and may include a set welding current or wire feeding 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, which is set welding current [A] and wire feeding speed [m/min] in the welding power source device 20 during welding by the semi-automatic welding machine 100. Shows the relationship with. The wire feeding speed is determined according to the set welding current. That is, the set welding current and the wire feeding speed are in a direct proportional relationship, for example, when one increases, the other also increases, and when one decreases, the other also decreases.

The derivation unit 53 includes, for example, the welding speed included in the torch rod operation based on the relationship between the set welding current of the welding power supply device 20 and the wire feeding speed, which are the specifications of the semi-automatic welding machine 100 as shown in FIG. , Welding work conditions such as wire protrusion length can be derived.

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 which 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 when the set welding current set in the welding power supply device 20 during 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 is a change in the wire protrusion length, etc. It fluctuates due to fluctuations in electrical resistance.

That is, as the wire protrusion length increases, the electrical resistance of the wire W increases and the output welding current decreases. Further, if the wire protrusion length is reduced, the electrical resistance of the wire W is reduced and the output welding current is increased. The wire protrusion length can be increased or decreased by the welding operator 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 object to be welded O.

The lead-out portion 53 is, for example, based on the relationship between the set welding current of the welding power source device 20 which is the specification of the semi-automatic welding machine 100 as shown in FIG. 4 and the output welding current flowing through the wire W and the base metal. The condition can be derived. Specifically, for example, as shown in FIG. 4, the derivation unit 53 sets the range R1 of the value of the output welding current value appropriate for the value of the set welding current, and the wire protrusion included in the torch rod operation. 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 protrusion length [mm]. For example, the heat input to the weld WP of the object to be welded O is determined by the output welding current flowing through the weld WP, the welding voltage applied to the weld WP, and the welding speed related to the moving speed of the tip of the welding torch 10. In order to control the quality of the welded portion WP, it is necessary to control the amount of heat input.

The derivation|leading-out part 53 can derive|lead-out the optimal welding speed and the wire protrusion length as the recommendation condition C1 of welding work conditions according to the derived|led-out set welding current, as shown in FIG. Further, the deriving unit 53 can derive the allowable range of the welding speed and the wire protrusion length as the allowable range R2 of the welding work condition, as shown in FIG. 5, according to the derived set welding current. ..

The derivation|leading-out part 53 can set welding speed according to the skill level of a 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 deriving unit 53 is within the allowable range R2 of the welding work condition shown in FIG. 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 deriving unit 53 is within the allowable range R2 of the welding work condition shown in FIG. Can be derived as the welding work condition.

In the example shown in FIG. 1 and FIG. 2, the welding power supply device 20 includes the output control unit 21 and the display unit 22 in addition to the welding work condition derivation device 50 as described above. In addition, 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 the electric power output by the welding power source device 20, the shield gas SG, the image signal, and the like according to the welding work condition derived by the welding work condition deriving device 50, for example. The output control unit 21 controls the welding power supply device 20 to control the electric power supplied to the welding torch 10 and the welding object O via the cables 23, 24, 43, for example. Further, the output control unit 21 controls the welding power supply 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 also outputs an image signal to the display unit 22 connected via a signal line.

When the welding work condition derivation device 50, the welding power supply device 20, or the welding technique learning device 30 includes an audio output unit (not shown), the output control unit 21 sends a signal line to the audio output unit. You may make it output a voice signal. 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 derivation device 50 may include the display unit 22.

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

FIG. 6 is an image diagram showing an example of the display screen 22 a of the display unit 22. The display unit 22 includes, for example, an input unit 52 including a touch panel on a part of the display screen 22a. As an input item of the input unit 52, the display unit 22 has, in addition to the specifications of the welded portion WP such as the material 52a of the base material, the joint shape 52b, the plate combination 52c, the groove shape 52d, and the bead shape 52e, for example, the welding work It has an item of skill level 52f for inputting the skill level of a person.

In the example shown in FIG. 6, the display screen 22a of the display unit 22 has, for example, a condition display area 22b adjacent to the input unit 52 for displaying the welding work condition derived by the welding work condition deriving device 50. doing. The condition display area 22b has, for example, a graphic area 22c at the top and an item display area 22d below it. The graphic region 22c may switch and display diagrams and graphs showing the specifications, condition ranges, operations, etc. of the welded portion WP, or may display them side by side. In the item display area 22d, for example, welding method 22e, filler material 22f, shield gas 22g, welding power source 22h, torch rod operation 22i, and other items of welding work conditions can be displayed side by side.

7 and 8 are image diagrams showing an example of specifications of the welded portion WP displayed in the illustrated region 22c of the display unit 22 shown in FIG. The display portion 22 has, as the specifications of the welded portion WP, 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 plates of the base materials M1 and M2 in the illustrated region 22c. The thicknesses T1, T2, the torch angle θ, etc. can be illustrated. The joint shape dimension includes, for example, a groove angle α, a butting portion dimension R, a root interval G, and the like. The wire protrusion length L1 is the contact tip distance in the initial state. Further, in the illustrated region 22c, as the specifications of the welded portion WP, melting of the welded portion WP, a bead shape, and the like may be illustrated.

As shown in FIG. 7, for example, when the welded joint included in the specifications of the welded portion WP is a T joint, the illustrated region 22c is defined 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 protrusion length L1 suitable for welding the derived welded portion WP can be illustrated. Further, as shown in FIG. 8, for example, when the welded joint included in the specification of the welded portion WP is a butt joint, the groove angle α, the butt portion dimension R, the groove width in the butt direction, as shown in FIG. W1, the groove width W2 in the plate thickness direction, the wire protrusion length L1, the torch diameter D1, etc. can be illustrated.

FIG. 9 is an image diagram showing an example of a motion model which is a motion displayed in the graphic region 22c of the display unit 22 shown in FIG. As described above, when the deriving unit 53 calculates the operation model of the welding operator during welding, the operation model of the welding operator during welding is displayed in the illustrated region 22c of the display unit 22, as illustrated in FIG. M can be illustrated. As described above, the motion model M can be created, for example, by analyzing the motion of a welding engineer with a high skill level. The motion model M can include, for example, a motion model that models the motion of the arm and wrist of the welding operator.

More specifically, the welding power supply device 20, the welding technique learning device 30, or the welding work condition derivation device 50 of this embodiment measures the welding operation of the welding operator as shown in FIG. 1, for example. A motion information acquisition unit 60 that acquires motion information can be provided. Further, the welding power supply device 20, the welding technique learning device 30, or the welding work condition derivation device 50 may include a motion comparison unit 70 that calculates comparison information based on a comparison between the motion model M and the motion information. The motion comparison unit 70 can display the calculated comparison information on the display unit 22, for example.

The operation 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 an ultrasonic measurement device or an inertial sensor. A sensor can be used. The operation comparison unit 70, for example, similar to the derivation unit 53 of the welding work condition derivation device 50 described above, a calculation 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 is composed of programs. Therefore, the function as the operation comparison unit 70 may be added to the derivation unit 53 shown in FIG.

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

To create the motion model M, it is conceivable to extract and use information such as the position and direction from data obtained by tracing the motion of an actual welding engineer. However, if the length of the welding line on the object to be welded O is short, the work can be performed within the movable range of the arm, and if the length of the welding line is long and linear, such as when the welding line is straight, the welding torch is used. The moving direction of 10 is a linear movement parallel to it. In this way, the degree of information required to create the motion model M and show it to the welding operator varies depending on the specifications of the welded portion WP. Therefore, the method of acquiring the data required to create the behavioral model M is not particularly limited, and the method that appropriately obtains the information may be selected to acquire the data.

The operation of the welding work condition derivation device 50 of the present embodiment, and the welding power supply device 20 and the welding technique learning device 30 including the welding work condition derivation device 50 will be described below. FIG. 10 is a flow chart showing the elution work condition deriving method S100 by the welding work condition deriving device 50 shown in FIGS. 1 and 2.

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

As described above, in the database 51 of the welding work condition derivation device 50 of the present embodiment, data regarding a plurality of welding works corresponding to a plurality of skill levels indicating the skill of the welding worker is recorded. In order to derive the welding work condition and weld the specific welded portion WP by the welding work condition deriving device 50 including such a database 51, 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 is input to 52.

When the input information including the skill level is input to the input unit 52 in the information input step S10, the welding work condition deriving step S20 is performed as shown in FIG. In the welding work condition deriving step S20, the deriving unit 53 obtains data corresponding to the input skill level from the data regarding the plurality of welding work corresponding to the plurality of skill levels recorded in the database 51, and performs welding. Derive working conditions. As a result, it is possible to derive the welding work conditions corresponding to the respective skill levels of the skilled welding worker having a high skill level and the welding worker having little experience and having a low skill level.

When the welding work condition is derived in the welding work condition deriving step S20, the welding work condition output step S30 is performed as shown in FIG. In the welding work condition output step S30, the deriving unit 53 can display the derived welding work condition on the display unit 22 via the output control unit 21, as shown in FIG. 2, for example.

More specifically, the welding work condition derivation device 50, the welding power supply device 20, or the welding technique learning device 30 of the present embodiment displays the welding work conditions derived by the derivation unit 53 as described above. 22 may be provided. Accordingly, the welding work condition can be visually displayed to the welding operator by the display unit 22, the welding operator can deepen the understanding of the welding work condition, and the quality of the welding portion WP can be further improved.

That is, the display unit 22 displays an image as shown in FIGS. 6 to 8 as the specification of the welded portion WP, a graph as shown in FIG. 5 as the condition range, and an operation as shown in FIG. A different motion model M can be displayed. Thereby, the welding operator appropriately grasps the positional relationship between the base material which is the object to be welded O and the welding torch 10, and appropriately controls the welding speed and the wire protrusion length L1 by the rod operation of the welding torch 10. Therefore, the heat input amount of the welded portion WP is controlled, and the welding quality is improved.

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

Further, the welding work condition derivation device 50 of the present embodiment can include the specifications of the welded portion WP to be welded by the welding operator as the 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 specifications of the welding unit 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 the welding operator, it is possible to derive the welding operation condition according to the specifications of the welded portion WP. That is, the quality of the welded portion WP can be further improved by deriving the welding work conditions that match the characteristics of each welded portion WP.

Further, in the welding work condition derivation device 50 of the present embodiment, as described above, the specifications of the welding portion WP input to the input portion 52 include the material of the base material, the joint shape, the groove shape, and the bead shape. In this case, such information can be reflected in the welding work condition 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 weld WP, deepen the welding operator's understanding of the welding work conditions, and further improve the quality of the weld WP. You can

In addition, the welding work condition derivation device 50 of the present embodiment can include worker information regarding the welding worker as the input information input to the input unit 52, as described above. In this case, the derivation 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 the welding operator, the welding operation condition according to the operator information can be derived. That is, the quality of the welded portion WP can be further improved by deriving the welding operation conditions that match the individual characteristics of the welding operator.

Further, in the welding work condition derivation device 50 of the present embodiment, as described above, when the worker information input to the input unit 52 includes the height or arm length of the welding worker, the information is obtained. Can be reflected in the welding work condition derived by the derivation unit 53. As a result, it is possible to derive more detailed welding work conditions that match the physical characteristics of each welding worker, make it easier and easier for the welding workers to fulfill the welding work conditions, and improve the quality of the welded portion WP. It can be further improved.

In addition, as described above, the welding work condition derivation device 50 of the present embodiment performs welding based on the height or arm length input to the input unit 52 by the derivation unit 53 and the data acquired from the database 51. It is possible to calculate the motion model M of the worker during welding. Thereby, the welding operator can confirm the operation model M created according to each physical characteristic and imagine the welding operation condition. Thereby, the welding operator can deepen the understanding of the welding operation condition and the quality of the welded portion WP can be further improved.

Further, in the welding work condition derivation device 50 of this embodiment, as described above, the motion model M calculated by the derivation unit 53 can include the movements of the welding worker's arm and wrist. As a result, even a welding operator with little experience and low skill level can learn by imagining ideal angles and movements of arms and wrists for realizing the welding work conditions derived by the deriving unit 53. be able to. Thereby, the welding operator can deepen the understanding of the welding operation condition and the quality of the welded portion WP can be further improved.

Further, in the welding work condition derivation device 50 of the present embodiment, as described above, the derivation unit 53 can derive the welding work condition based on the specifications of the semi-automatic welding machine 100. 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 the welding operator, the welding operation condition according to the specifications of the semi-automatic welding machine 100 can be derived. That is, by deriving the welding work conditions that match the specifications of the semi-automatic welding machine 100, it is possible to further improve the quality of the welded portion WP.

Further, in the welding work condition derivation device 50 of the present embodiment, as described above, when the derivation unit 53 derives the welding work conditions based on the specifications of the semi-automatic welding machine 100, the specifications of the semi-automatic welding machine 100 are: A welding voltage and a set welding current or wire feed rate can be included. Thereby, the derivation|leading-out part 53 can derive|lead-out the welding work condition according to the set welding current of the semi-automatic welding machine 100, a welding voltage, and a wire feed speed, and can improve the quality of the welding part WP more. ..

In addition, the welding work condition derivation device 50 of the present embodiment, as described above, a motion information acquisition unit that measures the motion of the welding operator during welding and acquires motion information, and a calculated motion model M and acquisition. And a motion comparison unit that calculates comparison information based on a comparison with the generated motion information and displays the comparison information on the display unit 22. Thereby, for example, when the difference between the calculated motion model M and the acquired motion information is within the predetermined range, the display unit 22 and the voice output unit allow the welding operator to perform a correct motion. You can communicate what you are doing. Further, 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 and the voice output unit. Can be transmitted.

In addition, the welding power source device 20 and the welding technique learning device 30 of the present embodiment include the above-mentioned welding work condition derivation device 50. Therefore, according to the welding power supply device 20 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.

Further, according to the welding technique learning device 30 of the present embodiment, welding operators who have little experience and low skill level derive welding operation conditions corresponding to their skill levels and accumulate experience, thereby performing welding. Workers can learn welding technology. Particularly, as described above, when the welding work condition derivation device 50 has the configuration described with reference to FIGS. 1 to 9, the welding worker can imagine the welding work condition, Can deepen the understanding of welding work conditions and promote the acquisition of welding technology.

Although the embodiment of the present invention has been described in detail above with reference to the drawings, the specific configuration is not limited to this embodiment, and there are design changes and the like within a range not departing from the gist of the present invention. However, they are included in the present invention.

20 Welding power supply device 22 Display unit 30 Welding technique learning device 51 Database 52 Input unit 53 Derivation unit 50 Welding work condition derivation device 60 Motion information acquisition unit 70 Motion comparison unit 100 Semi-automatic welding machine M Motion model WP Welding unit

Claims (13)

A device for deriving the welding work conditions of a welded part to be 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 who welds the welded portion is recorded,
An input unit for inputting input information including the skill level,
A deriving unit for deriving the data corresponding to the skill level input to the input unit from the database and deriving the welding work condition, and a welding work condition deriving device. The input information includes specifications of a welded portion to be welded by the welding operator,
The welding work condition deriving apparatus according to claim 1, wherein the deriving unit derives the welding work condition based on the specification of the welding unit and the data input to the input unit. The input information includes worker information about the welding worker,
The welding work condition deriving device according to claim 1, wherein the deriving unit derives the welding work condition based on the worker information and the data input to the input unit. The welding work condition derivation device according to claim 1, wherein the derivation unit derives the welding work condition based on a specification of the semi-automatic welding machine. The welding work condition derivation apparatus according to claim 2, wherein the specifications of the welded portion include a material of a base material, a joint shape, a groove shape, and a bead shape. The welding work condition derivation apparatus according to claim 3, wherein the worker information includes a height or an arm length of the welding worker. 7. The derivation unit calculates an operation model of the welding operator during welding based on the height or the arm length and the data input to the input unit. Welding condition deriving device. The welding operation condition derivation device according to claim 7, wherein the operation model includes movements of the arm and the 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 derivation device according to claim 7, further comprising: a motion comparison unit that calculates comparison information based on a comparison between the motion model and the motion information. The welding work condition derivation apparatus 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 feeding speed. The welding work condition derivation apparatus according to claim 1, further comprising a display unit that displays the welding work condition derived by the derivation unit. A welding power supply device comprising the welding operation condition derivation device according to claim 1. A welding technique learning device comprising the welding work condition deriving device according to claim 1.

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