KR20220031174A - Welder arrangement device and method - Google Patents

Abstract

Disclosed are a device and a method for selecting welding companies. The device comprises: a welding part information collection unit which collects information about each of welding parts to be welded by referring to predetermined construction-related data; a difficulty calculation unit which calculates a welding difficulty value and an inspection difficulty value for each welded part by applying pre-stored calculation reference information to the information on the welding parts; a skill management unit which manages a skill score table in which welding difficulty and inspection difficulty for each welding company are divided into a plurality of difficulty sections and welding success rates for each difficulty section are organized, based on the welding performance information of each welding company; and a welding company selection unit which calculates a suitability value for each welding company by using the welding difficulty value and inspection difficulty value of each welding part, and the skill score table. Therefore, good welding quality can be ensured.

Description

Welder arrangement device and method

The present invention relates to an apparatus and method for selecting a welder.

In order to increase productivity, ships and offshore structures are manufactured by block manufacturing and assembly processes in the shipbuilding industry. Here, the block manufacturing process is a process in which block assembly operations such as small assembly, medium assembly, large assembly, and pre-mounting are performed, and may consist of exclusion, installation, welding, finishing, inspection, and the like.

That is, after the design for manufacturing ships and offshore structures is made, steel sheets that have been cut and formed according to the use and undergone a pretreatment process are welded together and combined. At this time, design materials such as pipes or supports are additionally welded and disposed at each required part.

As such, the main work in manufacturing offshore structures can be said to be welding work, and the reliability of the results of the welding work also occupies a very important part.

Therefore, after the welding operation is performed, the welding part is inspected, and the inspection method for the welding part is various, such as a visual inspection of a welder/inspector, a radiographic inspection, an ultrasonic inspection, and the like.

When a weld is judged to be defective, cleaning and re-welding of the weld are required, which inevitably takes a lot of time and effort. Therefore, in order to reduce defects in welding work, the welding skills of a welder must be thoroughly managed, and an optimal welder must be allocated for each weld.

In spite of this importance, in the field, welders are assigned in such a way that the person in charge of the on-site process control visually observes the weld and then assigns a welder that he considers appropriate to the weld.

However, there may be many cases in which the optimal welder is not allocated to each welding part by the welding agent allocation method according to the feeling of the person in charge of the on-site process management, which causes poor welding to the welding part.

Korean Patent Laid-Open Patent No. 10-2013-0082939 (Welder skill management method) Korean Patent Laid-Open Patent No. 10-2015-0051598 (Welder qualification management system and its control method)

The present invention provides a welder selection device that calculates the welding difficulty and inspection difficulty for each weld part before allocating each weld part to an arbitrary welder, and distributes the optimal welder for each weld part so that good welding quality can be secured; and to provide a way.

Objects other than the present invention will be easily understood through the following description.

According to an aspect of the present invention, with reference to predetermined construction-related data, a welding information collecting unit for collecting welding information about each of the welding work to be welded; a difficulty calculator for calculating a welding difficulty value and an inspection difficulty value for each weld by applying the calculation reference information stored in advance to the weld information; Based on the welding performance information of each welder, for each welder, each of the welding difficulty and the inspection difficulty is divided into a plurality of difficulty sections, and a skill management unit for managing a skill score table in which the welding success rate for each difficulty section is arranged; and a welding difficulty value and inspection difficulty value of each weld, and a welder selecting unit for calculating a suitability value for each welder for each weld by using the skill score table is provided.

The fitness value for each welder is, for each welder, the multiplication calculation value of the welding difficulty value of the weld and the welding success rate corresponding to the welding difficulty value of the weld in the skill score table, and the inspection difficulty value and the skill of the welder It is calculated by summing the multiplication calculation value of the welding success rate corresponding to the inspection difficulty value of the corresponding weld in the score table, and the welder selector may select a welder having the highest fitness value for each weld as a welder to be welded.

The welder selector may designate a work limit for each welder with reference to the construction-related data and the welding performance information, and allocate a welder to be welded to each welder to meet the specified work limit.

In order to calculate the welding difficulty value by applying the calculation reference information to the welding part information collecting unit, joint type information and bevel shape information for each welding part. Information on whether full or partial penetration welding is performed and information on additional operations required during the welding process can be collected.

According to another aspect of the present invention, as a computer program stored in a computer-readable medium to perform a method for selecting a welder, the computer program causes the computer to perform the following steps, wherein the steps are related to a predetermined construction collecting weld information about each weld to be welded with reference to the data; calculating a welding difficulty value and an inspection difficulty value for each welding part by applying the calculation reference information stored in advance to the welding part information; calculating a suitability value for each welder for each weld by using the welding difficulty value, the inspection difficulty value, and the skill score table for each weld; and selecting a welder to perform welding work for each welder by referring to the suitability value for each welder, wherein the skill score table is based on the welding performance information of each welder, and each of the welding difficulty and the inspection difficulty is a plurality of It is divided into difficulty sections and the welding success rate for each difficulty section is information organized by each welder, and the fitness value for each welder corresponds to the welding difficulty value of the welder and the welding difficulty value of the corresponding welder in the skill score table for each welder. A computer stored in a computer-readable medium, which is calculated by adding the multiplication calculation value of the welding success rate to program is provided.

Other aspects, features and advantages other than those described above will become apparent from the following drawings, claims, and detailed description of the invention.

According to an embodiment of the present invention, before allocating each welding part to an arbitrary welder, the welding difficulty and inspection difficulty are calculated for each weld part, and the optimal welder is allocated to each weld part, thereby ensuring good quality of welding. there is

1 is a block diagram schematically showing the configuration of a welder selecting apparatus according to an embodiment of the present invention.
2 is a view for explaining a process of calculating a welding difficulty value for each welding portion according to an embodiment of the present invention.
3 is a view illustrating a reference table of the test difficulty value according to the test execution rate according to an embodiment of the present invention.
4 is a diagram illustrating a skill calculation table of a welder based on history information according to an embodiment of the present invention.
5 is a view illustrating a result of selecting a welder for each welding part according to an embodiment of the present invention.
6 is a flowchart illustrating a method for selecting a welder according to an embodiment of the present invention.

Since the present invention can have various changes and can have various embodiments, specific embodiments are illustrated in the drawings and described in detail in the detailed description. However, this is not intended to limit the present invention to specific embodiments, and it should be understood to include all modifications, equivalents, and substitutes included in the spirit and scope of the present invention.

In addition, terms such as “…unit”, “…unit”, “…module”, “…group”, etc. described in the specification mean a unit that processes at least one function or operation, which is hardware or software or hardware and software It can be implemented as a combination of

1 is a block diagram schematically showing the configuration of a welder selecting apparatus according to an embodiment of the present invention, and FIG. 2 is for explaining a process of calculating a welding difficulty value for each welding part according to an embodiment of the present invention It is a drawing. 3 is a diagram illustrating an inspection difficulty value reference table according to an inspection implementation rate according to an embodiment of the present invention, and FIG. 4 is a diagram illustrating a skill calculation table of a welder based on history information according to an embodiment of the present invention, 5 is a diagram illustrating a result of selecting a welder for each welding part according to an embodiment of the present invention.

Referring to FIG. 1 , the welder selection device 100 includes a welding part information collection unit 101 , a difficulty calculation unit 103 , a skill management unit 105 , a welder selection unit 107 , a storage unit 109 and an output unit ( 111) may be included.

The welding information collection unit 101 collects welding information corresponding to the evaluation items previously designated for each welding unit by using the construction related data stored in the storage unit 109 in advance.

Construction-related data includes, for example, design data (e.g., 3D model, welding drawings, etc.), inspection criteria information (e.g., consideration conditions for quality inspection of each weld, and inspection application rates specified in advance for each consideration condition) may), ERP information (eg, work schedule information, work progress information, work plan information, material receipt information, inventory status information, etc.) may include one or more.

The collected welding part information may include a joint type, a bevel shape, a full/partial penetration welding, whether additional work is performed, etc. as illustrated in FIG. 2 for calculating a welding difficulty value. In addition, if necessary, welding posture and angle, size, thickness, etc. may be further included.

In addition, the collected welding information may further include information on the inspection application rate of each welding portion to calculate the inspection difficulty value.

The welding part information collection unit 101 may recognize the characteristics of the welding part using pre-stored construction-related data in order to calculate the welding difficulty value.

For example, the weld information collection unit 101 refers to design data, such as 3D models, welding drawings, etc., and weld information such as joint type, bevel shape, full or partial penetration welding for each weld, and inspection standard information. It is possible to recognize not only weld information about the inspection application rate for each weld, but also weld information about additional work required in the welding process of the weld.

The weld information collected by the weld information collecting unit 101 may be recognized by design data recognition processing as described above, but information on additional work may be input by a manager or the like who assigns a welder to each weld zone.

The difficulty calculating unit 103 calculates a welding difficulty value and an inspection difficulty value for the corresponding weld by referring to the weld information collected for each weld by the weld information collecting unit 101 and a predetermined calculation standard, respectively. Information on the calculation criteria may be stored in advance in the storage unit 109 .

The calculation standard is stored in advance in the storage unit 109 as a first calculation standard (refer to FIG. 2) for calculating the welding difficulty for the welded part and a second calculation standard (refer to FIG. 3) for calculating the inspection difficulty for the welded part. can be

The first calculation criteria may include classification items for each preset evaluation item, and may be generated in advance so that a score according to the difficulty of the welding operation is given to each classification item. Each category item and the score for each category item may be re-adjusted and applied by the administrator at predetermined times.

As illustrated in (a) of FIG. 2 , the evaluation items of the first calculation criterion may include a joint type, a bevel shape, a full or partial penetration welding, an additional operation, and the like. Here, in the case of a joint type, a T-joint having a relatively high welding difficulty may be given a relatively high score compared to a Fillet-Joint having a relatively low welding difficulty. In addition, when an additional operation is required during the welding operation, such as a concave operation for concavely processing the welding surface, a high difficulty score may be given according to the complexity or difficulty of the additional operation.

The difficulty calculator 103 compares the weld information collected by the weld information collection unit 101 with the first calculation criterion, and calculates the welding difficulty value for the weld by summing the scores for each evaluation item.

As illustrated in (b) of FIG. 3, the welding information of the welding point P1 is TDCG, that is, the joint type is T-Joint, the bevel shape is double bevel, and must be fully penetration welded, If it is recognized that a gouging operation of digging a groove is necessary, the welding difficulty value of the welding point P1 may be calculated as 100 points (=25+25+25+25).

Of course, the welding difficulty of the welding point may be calculated by a weighted summation method in which a weight is applied and summed for each evaluation item. In this case, a weight applied to each evaluation item may be preset, and the set weight may be adjusted whenever necessary by an administrator.

As illustrated in FIG. 3 , the second calculation criterion for calculating the inspection difficulty for the welded part may be generated in advance so that a score proportional to the inspection application rate of each welded part is given. The score given to each test application rate may be readjusted and applied by the administrator at predetermined time intervals.

The difficulty calculation unit 103 can recognize the inspection application rate for each weld by referring to the welding information collected by the welding information collecting unit 101 and the inspection reference information stored in advance in the storage 109, and The inspection difficulty value may be calculated by comparing the inspection application rate with the second calculation criterion.

Inspection criteria information includes, for example, 10% or more if the pipe thickness is 10 mm or less, 20% or more if the pipe thickness exceeds 10 mm, and 100% non-destructive inspection for piping handling hazardous materials at -30 degrees Celsius or less or 300 degrees Celsius or more. It may be preset to perform. Non-destructive inspection of welds may be conducted, for example, in a radiographic test, ultrasonic test, magnetic particle test, penetration test, and the like.

The skill management unit 105 manages the skill score table of each welder to be assigned a task to the welder.

As illustrated in FIG. 4 , the skill score table divides the welding difficulty and inspection difficulty of the weld into a plurality of difficulty sections, for example, using the existing welding performance for each welder, and the welding success rate for each difficulty section (that is, skill scores) can be created as an organized table.

The skill score table may be managed in such a way that, for example, an expected success rate for each section is given first to each welder based on the career, reputation, etc. of each welder, and then updated with reference to the welding performance information of each welder. Of course, it is natural that the skill score table may be created and managed only by the welding performance of each welder.

The welder selection unit 107 is weighted by applying the skill score for each welder managed by the skill management unit 105 as a weight to the welding difficulty value and the inspection difficulty value calculated by the difficulty calculation unit 103 for each welding unit. By calculating and comparing one suitability value, a welder suitable for each welding part is selected.

As illustrated in FIG. 5 , if the welding point P13 is calculated as a welding difficulty value of 94 and an inspection difficulty value of 100 by the difficulty calculating unit 103 , the welder selecting unit 107 is each welder to which the welding operation is assigned. Referring to the skill score table (refer to FIG. 4), the weighted summing fitness value is calculated by applying the welding success rate of the difficulty section to which each difficulty value belongs as a weight.

That is, referring to the skill score table in FIG. 4 , in the case of welder Hong Gil-dong, when the welding difficulty value is 94, the welding success rate is 0.75, and when the inspection difficulty value is 100, the welding success rate is 0.72, so the fitness value is 142.5 (=94x0.75 + 100x0) .72) can be calculated.

The welder selector 107 may calculate a suitability value for each welder for each welding point, and select a welder having the highest suitability value for each welder.

At this time, the welder selection unit 107 designates the work limit for each welder by referring to construction-related data such as ERP information and welding performance information of each welder, and selects a welder to perform welding work for each welder so that the specified work limit is not exceeded. can be selected

As illustrated in welding point P14 of FIG. 5 , even if welder Hong Gil-dong has the highest fitness value, if welder Hong Gil-dong's work quota is exceeded, welder Mong-ryong Lee, who is the next runner-up, may be selected as a welder to weld the corresponding welding point.

In addition, if a plurality of arbitrary welders are calculated with the highest fitness value and the work quota of the welds to be assigned exceeds the work limit, the welder selector 107 allocates only the welds of the work amount that satisfy the work limit to the welder. It may be preset so as to preferentially allocate a weld for which a suitability value having a relatively high score is calculated.

The storage unit 109 includes the construction-related data, the welding information collected by the welding information collecting unit 101 , the skill score table managed by the skill management unit 105 , and the welding part of the welder calculated by the welder selecting unit 107 . A specific fitness value and the like may be stored. Of course, construction-related data may be stored in other devices, and the welder selection device 100 may receive and use construction-related data through a network.

The output unit 111 may be an output interface for outputting data processed by the welding unit information collecting unit 101 , the difficulty calculating unit 103 , the skill management unit 105 , the welder selecting unit 107 , and the like. The output unit 111 may output data through a display unit (not shown) provided in the welder selection device 100, or through a network to another device (eg, a manager who will assign welding tasks to welders). It can also be output to a communication terminal, etc.).

6 is a flowchart illustrating a method for selecting a welder according to an embodiment of the present invention.

Referring to FIG. 6 , in step 610 , the welder selecting apparatus 100 collects weld information for each weld with reference to the pre-stored construction related data.

Here, construction-related data includes, for example, design data (eg, 3D model, welding drawing, etc.), inspection standard information (eg, consideration conditions for quality inspection of each weld and inspection application rate specified for each condition). may include), ERP information (eg, work schedule information, work progress information, work plan information, material receipt information, inventory status information, etc.) may include one or more.

The collected weld information may include, for example, a joint type, a bevel shape, a full/partial penetration welding, and whether additional work is performed (see FIG. 2 ). In addition, welding posture and angle, size, thickness, etc. may be further included. In addition, the weld information may further include information on the inspection application rate of each weld.

In step 620 , the welder selecting apparatus 100 calculates a welding difficulty value and an inspection difficulty value for a corresponding weld part with reference to the weld part information collected for each weld part and a predetermined calculation standard, respectively.

The calculation standard is stored in advance in the storage unit 109 as a first calculation standard (refer to FIG. 2) for calculating the welding difficulty for the welded part and a second calculation standard (refer to FIG. 3) for calculating the inspection difficulty for the welded part. can be

Here, the first calculation criterion may include a classification item for each preset evaluation item, and may be generated in advance so that a score according to the difficulty of the welding operation is given to each classification item. In addition, the second calculation criterion may be generated in advance so that a score proportional to the inspection application rate of each welding part is given.

In step 630, the welder selecting apparatus 100 calculates a fitness value weighted and summed by applying the skill score (ie, welding success rate) for each welder as a weight to the welding difficulty value and the inspection difficulty value calculated for each weld portion.

At this time, each of the welding difficulty and inspection difficulty is divided into a plurality of difficulty sections, and in the skill score table in which the welding success rate for each difficulty section is organized, the welding difficulty value calculated for each weld and the welding success rate of the section to which the inspection difficulty value belongs The proficiency score is applied as a weight, is multiplied, and then summed to calculate a fitness value for each welder for each weld.

In step 640 , the welder selecting apparatus 100 selects a welder for which the highest fitness value for each weld is calculated as a welder to weld the corresponding weld by referring to the suitability values for each welder calculated for each weld.

At this time, the welder selection unit 107 designates the work limit for each welder by referring to construction-related data such as ERP information and welding performance information of each welder, and selects a welder to perform welding work for each welder so that the specified work limit is not exceeded. can be selected If a certain welder calculates a plurality of the highest fitness values and the workload of the welders to be allocated exceeds the work limit, allocate only the welds whose workload satisfies the work limit to the welder, but have a relatively high fitness value This calculated weld may be assigned first.

It goes without saying that the above-described method for selecting a welder may be performed as an automated procedure according to a time series sequence by a software program or the like built in a digital processing device. Codes and code segments constituting the program can be easily inferred by a computer programmer in the art. In addition, the program is stored in a computer readable medium (computer readable media), read and executed by the computer to implement the method. The information storage medium includes a magnetic recording medium, an optical recording medium, and the like.

Although the above has been described with reference to the embodiments of the present invention, those of ordinary skill in the art can variously modify the present invention within the scope without departing from the spirit and scope of the present invention described in the claims below. and may be changed.

100: welder selection device 101: welding information collection unit
103: difficulty calculation unit 105: skill management unit
107: welder selection unit 109: storage unit
111: output unit

Claims (5)

a welding information collecting unit that collects welding information regarding each of the welding parts to be welded with reference to predetermined construction-related data;
a difficulty calculator for calculating a welding difficulty value and an inspection difficulty value for each weld part by applying the calculation reference information stored in advance to the weld part information;
Based on the welding performance information of each welder, for each welder, each of the welding difficulty and the inspection difficulty is divided into a plurality of difficulty sections, and a skill management unit for managing a skill score table in which the welding success rate for each difficulty section is arranged; and
A welder selection device including a welder selector for calculating a suitability value for each welder for each welder using the welding difficulty value and inspection difficulty value of each weld, and the skill score table. According to claim 1,
The fitness value for each welder is, for each welder, the multiplication calculation value of the welding difficulty value of the weld and the welding success rate corresponding to the welding difficulty value of the weld in the skill score table, and the inspection difficulty value and the skill of the welder It is calculated by summing the multiplication calculation value of the welding success rate corresponding to the inspection difficulty value of the corresponding weld in the score table,
The welder selecting unit selects a welder having the highest fitness value for each weld as a welder to be welded, a welder selecting device. 3. The method of claim 2,
The welder selecting unit designates a work limit for each welder with reference to the construction-related data and the welding performance information, and assigns a welder to be welded to each welder to meet the specified work limit. According to claim 1,
In order to calculate the welding difficulty value by applying the calculation reference information to the welding part information collecting unit, joint type information and bevel shape information for each welding part. A welder selection device that collects information on whether full or partial penetration welding is performed, and additional work required during the welding process. A computer program stored on a computer-readable medium for performing a method of selecting a welder, the computer program causing the computer to perform the following steps, the steps comprising:
Collecting weld information about each weld to be welded with reference to the pre-designated construction-related data;
calculating a welding difficulty value and an inspection difficulty value for each welding part by applying the calculation reference information stored in advance to the welding part information;
calculating a fitness value for each welder for each weld by using the welding difficulty value, the inspection difficulty value, and the skill score table for each weld; and
Including the step of selecting a welder to perform welding work for each weld by referring to the suitability value for each welder,
The skill score table is, based on the welding performance information of each welder, each of the welding difficulty and the inspection difficulty is divided into a plurality of difficulty sections, and the welding success rate for each difficulty section is information organized for each welder,
The fitness value for each welder is, for each welder, the multiplication calculation value of the welding difficulty value of the welder and the welding success rate corresponding to the welding difficulty value of the corresponding welder in the skill score table, the inspection difficulty value of the welder, and the skill score A computer program stored in a computer-readable medium, which is calculated by summing multiplication calculation values of welding success rates corresponding to the inspection difficulty values of the corresponding welds in the table.

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