DE212014000077U1 - Systems for exporting or using welding sequencer data for external systems - Google Patents

Abstract

A welding system, comprising: a weld job sequencer component configured to identify a welding sequence for a welding work cell, the welding sequence defining at least one parameter and welding schedule for a first welding process to produce a first weld on a workpiece, and for a second welding process to create a second weld on the workpiece; wherein the weld job sequencer component is further configured to use the welding sequence in the welding work cell to automatically configure welding equipment to perform the first welding process and the second welding process on a workpiece without operator intervention; a detection component configured to acquire a real-time welding parameter for the first weld and / or the second weld, the detection component correlating the real-time welding parameter with the identified welding sequence and with the first weld and / or the second weld.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a sub-treatment of U.S. Application Serial No. 11 / 613,652, filed December 20, 2006, entitled "WELDING JOB SEQUENCER", which is hereby incorporated by reference in its entirety.

TECHNICAL AREA

Devices, systems and methods according to the invention relate to welding work cells.

BACKGROUND OF THE INVENTION

In the prior art, work cells are used to create welds or welded parts. There are at least two broad categories of work cells, robotic work cells and semi-automatic work cells.

In robotic work cells, scheduling and execution of welding operations are largely automated, with little operator intervention. In this way, these cells generally have relatively low labor costs and relatively high productivity. However, their repetitive operations are not readily adaptable to varying welding conditions and / or sequences.

In contrast, semi-automatic work cells (i.e., work cells with at least some operator welding) generally provide less automation than robotic work cells and accordingly have relatively higher labor costs and relatively lower productivity. Regardless, there are many instances where the use of a semi-automatic welding work cell may indeed be more advantageous than robotic work cells. For example, a semi-automatic welding work cell can more easily accommodate varying welding conditions and / or sequences.

Unfortunately, welding of more complex assemblies in prior art semi-automatic work cells often requires several different weld plans for different types of welds on different parts of an assembly. In many systems, when a different welding schedule must be used, the operator must stop the welding operations and manually adjust the output of the semi-automatic equipment according to the new plan. In some other systems, this manual adjustment is eliminated by saving certain plans in the workcell. Regardless, even in such systems, the operator still has to complete the welding operations and press a button to select the new welding schedule before he can continue welding.

None of these practices for setting a different weld plan is particularly efficient. Therefore, in practice, the number of welding schedules used in a semi-automatic work cell is often reduced to eliminate the need for constant adjustment of the semiautomatic equipment output signal. While this reduction in welding schedules simplifies the welder's job as a whole, the forced simplification of this approach can result in reduced productivity and lower overall quality.

Furthermore, if stringent quality control requirements are met, it may be necessary to perform welds in a particular sequence to verify that each weld is performed according to a particular set of conditions and to monitor the output of the equipment during welding operations. In a robotic work cell, these requirements can be fulfilled without further ado. However, in a semi-automated work cell, these requirements are human error, as the operator must keep track of all these aspects and, incidentally, perform the welding operations themselves.

An illustrative example of the above-described problems is shown in the prior art semi-automatic welding method shown diagrammatically in FIG 1 is shown. In this method, each of the various scheduling, sequencing, inspection, and welding operations is organized and executed by the operator (ie, the welder) himself. More specifically, the operator begins the welding job during operation 10 , Then the operator sets up the welding equipment according to plan A during operation 20 one. Next, the operator performs weld # 1, weld # 2, and weld # 3 using welding schedule A during operations 22 . 24 and 26 out. Then the operator interrupts the welding operations and aligns the welding equipment during operation 30 according to plan B. Next, the operator pulls weld No. 4 using weld plan B at operation 32 , Then the operator checks the dimensions of the assembly during operation 40 and align the welding equipment according to plan C at operation 50 one. Next, the operator performs weld # 5 and weld # 6 using weld plan C during operations 52 and 54 out. After the welding operations are completed The operator takes a visual inspection of the welded assembly during operation 60 before and completes the welding job during operation 70 ,

It is clear that in 1 The method shown in FIG. 3 depended on the operator correctly following the predetermined procedure for performing welds and inspections to correctly switch between welding plans (such as during operation 30 ) and to carry out the welding itself. Errors in each of these responsibilities may result in either reworking (if the errors occur during the inspection at surgery 60 be revealed), or may mean that a defective part is delivered to the end user. Furthermore, this exemplary semi-automatic welding process inhibits productivity because the operator must spend time configuring and reconfiguring the welding schedules.

The problems described above require an improvement in the prior art system.

BRIEF SUMMARY OF THE INVENTION

According to an embodiment of the present invention as defined in claim 1, there is provided a welding system including a weld job sequencer component configured to identify a welding sequence for a welding work cell, the welding sequence defining at least one parameter and welding schedule for a first welding process to create a first weld on a workpiece and defined for a second welding process to create a second weld on the workpiece. The weld job sequencer component is further configured to use the welding sequence in the welding work cell to automatically configure welding equipment to perform the first welding process and the second welding process on a workpiece without the intervention of the operator. In the embodiment, the welding system further includes a detection component configured to acquire a real time welding parameter for the first weld and / or the second weld, the detection component determining the real time welding parameter with the identified welding sequence and weld / or the second weld is correlated. Preferred embodiments may be taken from the dependent claims.

According to an embodiment of the present invention according to claim 11 there is provided a system for welding in a welding workcell having a welding sequence adapted to perform at least the following steps: identifying a welding sequence to be used by an operator in a welding workcell, the welding sequence being a first welding process defining a first parameter to produce a first weld on a workpiece and defining a second welding method including a second parameter to create a second weld on the workpiece; Using the welding sequence to automatically modify a welding equipment within the welding work cell without operator intervention, pulling at least one of the first weld and the second weld; Detecting a welding parameter in real time during the formation of the first weld and / or the second weld; Linking the welding parameter to the welding sequence and the first weld and / or the second weld; Generating a weld parameter model based on one or more welding parameters acquired in real time; and implementing the welding parameter model for the welding sequence that is performed after the first weld and / or the second weld. Preferred embodiments may be taken from the dependent claims.

According to an embodiment of the present invention according to claim 15, there is provided a welding system including at least: means for identifying a welding sequence to be used by an operator in a welding work cell, the welding sequence defining a first welding method including a first parameter creating a first weld on a workpiece, and defining a second welding method including a second parameter to create a second weld on the workpiece; means for using the welding sequence to automatically modify a welding equipment within the welding work cell without operator intervention, pulling at least one of the first weld and the second weld; a means for detecting a welding parameter in real time during formation of the first weld and / or the second weld; a means for associating the welding parameter with the welding sequence and the first weld and / or the second weld; means for generating a weld parameter model based on one or more welding parameters acquired in real time; and means for implementing the welding parameter model for the welding sequence that is performed after the first weld and / or the second weld.

These and other objects of this invention will become apparent when, in light of the drawings, the detailed description and the appended claims.

BRIEF DESCRIPTION OF THE DRAWINGS

The invention may take on a physical form in certain parts and arrangements of parts, a preferred embodiment of which is described in detail in the specification and illustrated in the accompanying drawings, which form a part of the present disclosure and in which:

1 Fig. 10 illustrates a prior art welding operation using a semi-automatic welding work cell;

2 illustrates a welding process according to the invention using a semi-automatic welding work cell;

3 FIG. 12 is a block diagram illustrating a welding system that uses a weld job sequencer component to configure welding equipment for two or more welding operations to assemble a workpiece; FIG.

4 FIG. 12 is a block diagram illustrating a welding system using a weld job sequencer component; FIG.

5 Figure 12 is a block diagram illustrating a distributed welding environment with multiple welding work cells communicating with a welding job sequencer component via a local, remote, or cloud database;

6 FIG. 12 is a block diagram illustrating a welding system including multiple welding work cells, wherein the welding work cells are managed with a cloud-based weld job sequencer component; FIG.

7 Fig. 12 is a block diagram illustrating a system that aggregates data associated with a welding operation performed with a welding sequence;

8th FIG. 12 is a block diagram illustrating a system transmitting a portion of media to an operator to facilitate the creation of a weld with a welding process; FIG.

9 Fig. 10 is a block diagram illustrating a system that transmits an alarm to an operator performing one or more welds using a welding sequence;

10 FIG. 12 is a block diagram illustrating a system that issues an alarm to an operator creating a weld with a welding sequence based on a condition within a welding work cell; FIG.

11 FIG. 10 is a flowchart of identifying a welding parameter model for a welding sequence based on one or more welding parameters detected in real time for the welding sequence used to create at least one weld; and

12 FIG. 10 is a flowchart of creating a welding parameter model for a welding sequence based on one or more parameters detected by an earlier welding operation using the welding sequence.

DETAILED DESCRIPTION OF THE INVENTION

Embodiments of the invention relate to methods and systems related to detecting one or more welding parameters in real-time during the manufacture of one or more welds using a welding sequence. The one or more welding parameters may be associated with a particular welding sequence. Moreover, based on the one or more sensed welding parameters, a modeled welding parameter may be generated to increase quality, efficiency and the like. A detection component acquires real-time welding parameter data from which a quality manager component generates a modeled welding parameter. The modeled welding parameter may be used for the welding sequence to monitor or track the welding parameter during a subsequent weld.

In accordance with one aspect of the invention, a semi-automatic welding work cell is provided that includes a welding job sequencer that automatically selects a welding schedule for use by an operator in the semi-automatic welding work cell.

In accordance with another aspect of the invention, there is provided a method of welding in a semi-automatic workcell that includes automatically selecting a welding plan for use by an operator in the semi-automatic welding workcell.

According to another aspect of the invention, there is provided a welding fabrication line that includes at least one semi-automatic welding workcell, the semi-automatic welding workcell Workcell includes a welding job sequencer that automatically selects a welding schedule for use by an operator therein.

In accordance with another aspect of the invention, there is provided a method of monitoring a welding production line that includes automatically selecting a welding schedule for use by an operator in a semi-automatic welding work cell.

The term "component" in the sense of the present document may be defined as a part of hardware, a part of software or a combination thereof. A piece of hardware may include at least a processor and a portion of memory, the memory containing an instruction to be executed.

The best mode for carrying out the invention will now be described for the purpose of illustrating the best mode known to the Applicant at the time of filing this patent application. The examples and figures are merely illustrative and not intended to limit the invention, which is to be determined solely by the scope and spirit of the claims. Turning now to the drawings, which are merely for the purpose of illustrating an exemplary embodiment of the invention, and not for the purpose of limitation, the drawings are first of all directed to us 2 to. In an exemplary embodiment of the invention, as in FIG 2 1, a welding job sequencer is provided. The weld job sequencer improves the prior art semi-automatic work cell by increasing the productivity of the semi-automatic work cell without compromising the number of weld schedules that can be used therein. The weld job sequencer achieves this improvement by implementing automatic changes in the semi-automatic workcell and providing a series of instructions and instructions to the operator.

More specifically, in one exemplary embodiment, the welding job sequencer automatically selects and implements a function of the welding workcell. An example of such a function is a particular weld plan to be used with the semi-automatic workcell. In other words, the weld job sequencer may select a weld schedule to use for a particular weld, and automatically modify the settings of the semi-automatic work cell according to the selected weld schedule for the operator (i.e., without deliberate operator intervention).

Additionally, in the exemplary embodiment, the weld job sequencer may automatically display a sequence of operations that the operator must follow to create a final welded assembly. In conjunction with the automatic selection of welding schedules, this displayed sequence allows an operator to follow the sequence to make a finished welded part without having to spend time adjusting, selecting or accessing each individual welding schedule and / or weld sequence examine.

Accordingly, since the welding job sequencer sets up the welding equipment and organizes the work flow, and since the operator performs only the welding operations himself, the risk of errors in the welding operation is significantly reduced, and productivity and quality are improved.

The exemplary embodiment is diagrammatic in FIG 2 shown. In 2 , at surgery 110 , the Welding Sequencer starts operation and immediately sets the welding equipment to the use of welding schedule A (Operation 120 ) and instructs the operator to pull welds # 1, # 2 and # 3. Then the operator pulls the welds # 1, # 2 and # 3 using weld plan A (Operations 122 . 124 and 126 ). Next, the welding job sequencer sets the welding equipment to the use of welding schedule B (Operation 130 ) and instructs the operator to pull weld # 4. Then the operator pulls the weld # 4 using weld plan B (Operations 132 ). Upon completion of weld schedule B, the weld job sequencer sets the welding equipment to the use of weld plan C (Operation 150 ) and instructs the operator to pull welds # 5 and # 6 to inspect the part. Then the operator pulls the welds # 5 and # 6 (operations 152 and 154 ) using weld plan C and inspect the completed part to confirm that it is correct (Operation 160 ). This inspection may include a dimensional verification, a visual defect confirmation, or any other type of verification that may be required. Furthermore, surgery 160 include a request that the operator explicitly indicate that the inspection is complete, for example by pressing an "OK" key before it is possible to proceed to the next operation. Finally, the weld job sequencer indicates that the welding has arrived at the end (Operation 170 ), and prepare the next operation.

Accordingly, as noted above, the sequencing and scheduling of Complete the welding operations by the sequencer so that the operator can concentrate on pulling welds according to the instructions.

The welding job sequencer may have a new function, such as the selection and implementation of welding plans A, B and C, as in FIG 2 shown, select and implement based on various variables or inputs. For example, the weld job sequencer can easily create new weld schedules based on monitoring the elapsed time since the start of the weld operations or since the completion of the weld (such as the time after the weld # 3 in FIG 2 above). Alternatively, the weld job sequencer can monitor the actions of the operator, compare the actions with the identified sequence of welds, and select new weld schedules accordingly. Furthermore, various combinations of these methods or any other effective method may be implemented as long as the ultimate effect is to provide automatic selection and implementation of a function, such as the welding schedule, for use by the operator.

Parameters of the selected welding schedule may include such variables as, but not limited to, welding process, wire size, wire size, wire feed speed, volts, trim, which wire feed device is to be used, or which feed head is to be used.

Although the above description focuses on the selection of a weld schedule as a function that is automatically selected and implemented, the weld job sequencer is not limited only to the use of this function.

For example, another possible function that may be selected and implemented by the weld job sequencer is the selection of one of a plurality of wire feeders in a single power source according to the weld schedule. This feature allows even greater variability of welding jobs that the operator can perform in the semi-automatic workcell, as various wire feeders can provide a wide variety of wire sizes and types, for example.

Another example of a function that is compatible with the weld job sequencer is a quality check function. This function performs a quality check of the weld (either during welding or after the weld is completed) before the job sequence can be resumed. The quality check can monitor various welding parameters and can pause the welding process and alert the operator when an abnormality is detected. An example of a welding parameter that can be measured by this function would be arc data.

Another example of such a function would be a repeat function. This function would instruct the operator to repeat a particular weld or weld sequence. An example of using this function is when the quality check function shows an abnormality or when multiple instances of the same weld are required.

Another example of such a feature would be a welder-notify function that transmits information to the welder. This feature would display information, sound an audible signal, or otherwise communicate with the welder. Examples of using this function are an indication to the operator that he can start welding, or an indication that the operator should check a section of the welded part for quality purposes.

Another example of such a function would be a job information input function. This feature requires the welder to enter information such as the part's serial number, personal ID number, or other special conditions before the job sequencer can proceed. This information could also be read from a part or inventory tag itself by radio frequency identification (RFID), bar code scanning or the like. The weld job sequencer could then use the input information for the welding operations. An example of the use of this function would be as a predicate for the entire welding operation to indicate to the welding job sequencer which plans and / or sequences to select.

Another example of such a function would be a job report function. This feature generates a weld job report that could include, for example, the number of drawn welds, single and total arc times, sequence breaks, errors, glitches, wire usage, arc data, and the like. An example of using this feature would be a report to a manufacturing quality department about the efficiency and quality of the welding processes.

Another example of such a function would be a system check function. These Function determines if the weld job can proceed and could monitor parameters such as: wire supply, gas supply, time remaining in the shift (compared to the time required to complete the job) and the like. The function could then determine if the parameters indicate that there is enough time and / or material to continue the weld job. This feature would prevent downtime due to depleted material and would prevent unfinished assemblies from being delayed, which can lead to quality issues due to thermal and scheduling difficulties.

Furthermore, as discussed above, the weld job sequencer may select and implement a new function based on various variables or inputs. There are no special restrictions on these variables and inputs; they can even be another feature. For example, another function that is compatible with the weld job sequencer is a weld run function. This function is designed to detect the welding actually performed by the operator and to report this welding, so that the welding job sequencer can determine whether to proceed with further operations. For example, this function may start when the operator depresses the trigger to start the welding operation and may end when the operator releases the trigger after the welding is completed or after a predetermined period of time after the beginning. This function could end when the trigger is released, or it could be configured to automatically turn off after a period of time has elapsed, a quantity of wire has been dispensed, or an amount of energy has been applied. This function can be used to determine when a new function should be selected, such as a new weld schedule, as discussed above.

Furthermore, various semi-automatic and / or robotic work cells can be integrated together in a single network, and the sequencing of welding steps in a single workcell can be fully integrated into a complete production plan that can itself be modified as needed to track deviations in the production plan. Sequencing and / or scheduling information may also be stored in a database, stored as archive information by date, and retrieved to produce various production reports.

In one embodiment, a semi-automatic welding work cell may be provided for welding an assembly defined by a plurality of welds, wherein the plurality of welds are defined by at least two weld plans that may include welding equipment for use by a welder to perform the plurality of welds and Complete assembly with the welding equipment, which have several functions. In the embodiment, the workcell may include a weld job sequencer that automatically selects a weld schedule for use by an operator in the semi-automatic welding work cell. In the embodiment, the weld job sequencer may select the weld schedule according to an elapsed time. In one embodiment, the welding job sequencer may detect when the operator is performing a welding operation and select the welding schedule based on this detection. In the embodiment, the welding job sequencer may detect when the operator is performing a welding operation, and the welding job sequencer selects the welding schedule according to an amount of welding wire supplied for the welding operation. In the embodiment, the welding job sequencer may detect when the operator is performing a welding operation, and the welding job sequencer selects the welding schedule according to an amount of power supplied for the welding operation. In the embodiment, the welding schedule includes information about at least one of: welding process, wire type, wire size, wire feed speed, volt, trim, wire feeder to be used, or feed head to be used.

In one embodiment, the welding workcell may include the welding job sequencer that selects and implements at least one of a plurality of functions to define at least a first welding schedule and a second welding schedule from the at least two welding schedules to organize a welding assembly manufacturing process and to the welder to display a sequence of work operations to complete the assembly. In the embodiment, the weld job sequencer can automatically modify the welding equipment according to the workflow and sequence of welding operations without the need for the welder to intervene.

In the embodiment, the second welding schedule is defined according to an elapsed time of the first welding schedule. In the embodiment, the at least one function detects the completion of the first welding schedule by the operator and automatically switches from the first welding schedule to the second welding schedule. In the embodiment, at least one function detects when the Operator executes the first weld schedule, and the second weld schedule is defined according to an amount of weld wire supplied for the first weld schedule. In the embodiment, at least one function detects when the operator performs the first welding schedule, and the second welding schedule is defined according to an amount of power supplied for the first welding schedule. In the embodiment, the at least one first welder parameter and the at least one second welder parameter include at least one of: welding process, wire type, wire size, wire feed speed, volt, trim, wire feeder to be used, or feed head to be used. In the embodiment, at least one of the first welder parameter and the at least one second welder parameter includes a feeder for use by an operator in the semi-automatic welding work cell. In the embodiment, at least one function monitors quality measurements of the weld assembly, wherein the quality measurements include at least information about an arc used to form the weld created by the operator. In the embodiment, at least one function indicates information to the operator in the semi-automatic welding work cell. In the embodiment, at least one function receives order information including at least a partial ID number, an operator ID number, or welding instructions. In the embodiment, at least one function generates an order report that includes at least one of: number of executed welds, total arc time, individual arc time, sequence breaks, errors, noise, wire consumption, and arcing data. In the embodiment, at least one function includes a system check of the cell, wherein the system check includes at least one of a detection of wire supply, gas supply, and time.

In the embodiment, the weld job sequencer may select a welding sequence for use by the operator in the semi-automatic welding work cell. In the embodiment, the weld job sequencer may display the selected welding sequence to the operator in the semi-automatic welding work cell. In the embodiment, the weld job sequencer may select a wire feeder for use by an operator in the semi-automatic welding work cell. In the embodiment, the weld job sequencer may monitor quality measurements of a weld being pulled by the operator, the quality measurements including at least information about an arc used to form the weld created by the operator. In the embodiment, the weld job sequencer may display information to the operator in the semi-automatic welding work cell. In the embodiment, the weld job sequencer may receive job information including at least a part ID number, an operator ID number, or welding instructions. In the embodiment, the weld job sequencer may generate an order report that includes at least one of: number of executed welds, total arc time, individual arc time, sequence breaks, errors, disturbances, wire consumption, and arc data. In the embodiment, the weld job sequencer may perform a system check that includes at least one of a supply of wire, gas, and time.

In one embodiment, a method of welding in a semi-automatic workcell may be provided that includes automatically selecting a weld plan for use by an operator in the semi-automatic welding workcell. In the embodiment, the automatic selection may be performed after an elapsed time. In the embodiment, the method may include detecting when the operator is performing a welding operation, the automatic selection being performed on the basis of this detection. In the embodiment, the method may include detecting when the operator performs a welding operation, the automatic selection being performed according to an amount of welding wire supplied for the welding operation. In the embodiment, the method may include detecting when the operator performs a welding operation, wherein the automatic selection is performed according to an amount of energy supplied for the welding operation. In the embodiment, the weld plan may include information about at least one of: welding process, wire type, wire size, wire feed speed, volt, trim, wire feeder to be used, or feed head to be used.

In the embodiment, the method may include selecting a welding sequence for use by the operator in the semi-automatic welding work cell. In the embodiment, the method may include displaying the selected welding sequence to the operator in the semi-automatic welding work cell. In the embodiment, the method may include selecting a wire feeder for use by an operator in the semi-automatic welding work cell. In the embodiment, the method may include providing quality measurements monitored by the operator, wherein the quality measurements include at least information about an arc used to form the weld created by the operator. In the embodiment, the method may include displaying information to the operator in the semi-automatic welding work cell. In the embodiment, the method may include receiving order information including at least a partial ID number, an operator ID number, or welding instructions. In the embodiment, the method may include creating a job report that includes at least one of: number of drawn welds, total arc time, individual arc time, sequence breaks, errors, noise, wire consumption, and arcing data. In the embodiment, the method may include making a system check that includes at least one of a supply of wire, gas, and time.

In one embodiment, a welding manufacturing line is provided with at least one semi-automatic welding work cell, wherein the semi-automatic work cell includes a welding job sequencer that automatically selects a welding schedule for use by an operator therein. In the embodiment, the welding manufacturing line includes a monitoring system that communicates with the welding job sequencer to instruct the welding job sequencer to automatically select the welding schedule for use by the operator therein.

In one embodiment, a method is provided for monitoring a weld production line that includes automatically selecting a weld schedule for use by an operator in a semi-automatic welding work cell. In the embodiment, the method may include instructing the weld job sequencer to automatically select the weld schedule for use by the operator therein.

In one embodiment, a semi-automatic welding work cell is provided that includes a welding job sequencer that automatically selects a welding schedule for use by an operator in the semi-automatic welding work cell. The automatic selection may be based on: elapsed time, detection of welding operations, detection of the amount of welding wire supplied for the welding operation, or detection of the amount of energy supplied for the welding operation.

In one embodiment, a method for welding in a semi-automatic workcell having a welding equipment and a welding job sequencer to complete an assembly defined by a plurality of welds may be provided, wherein the plurality of welds may be defined by at least two weld plans. The embodiment may include at least the following steps: implementing a welding equipment function with the welding job sequencer to obtain from the at least two welding plans a first welding schedule having at least a first welding equipment parameter and at least one first welding instruction and a second welding plan having at least a second welding equipment parameter and at least one second welding instruction wherein at least one of the second welder parameter and the second weld instruction is different from the first welder parameter and the first weld instruction; Displays, for a welder, a sequence of welding operations to complete the assembly based on the first and second weld plans; and automatically modifying the welding equipment according to the sequence of welding operations to complete the assembly based on the first and second weld plans.

In the embodiment, the method may include defining that the second weld schedule is executed after an elapsed time defined by the first weld plan. In the embodiment, the method may include detecting when the operator executes the first weld plan, wherein defining the second plan is based on this detection. In the embodiment, defining the first and second weld plans may include defining an amount of weld wire that was supplied for the welding operation. In the embodiment, the second welding schedule is defined according to an amount of energy supplied for the welding process for the first welding schedule. In the embodiment, defining at least one of the first and second weld plans may include selecting at least one of: welding process, wire type, wire size, wire feed speed, volt, trim, wire feeder to be used, or feed head to be used. In one embodiment, defining at least one of the first and second weld plans may include selecting a wire feed device for use by an operator in the semi-automatic welding work cell. In an embodiment, the method may include monitoring quality measurements of a weld drawn by the operator, the quality measurements being at least Include information about an arc used to form the weld created by the operator. In an embodiment, the method may include displaying information to the operator in the semi-automatic welding work cell. In one embodiment, the method may include receiving order information including at least a partial ID number, an operator ID number, or welding instructions. In one embodiment, the method may include creating a job report that includes at least one of: number of drawn welds, total arc time, individual arc time, sequence breaks, errors, disturbances, wire consumption, arc data, and making a system check that includes at least one detection includes wire stock, gas supply and time.

In one embodiment, a welding production line is provided that includes at least one semi-automatic welding work cell for welding an assembly defined by a plurality of welds, wherein the plurality of welds are defined by at least one welding schedule, the semi-automatic welding work cell including welding equipment for use by a welder perform multiple welds and complete the assembly, the welding equipment has several functions. In the embodiment, the manufacturing line may include a weld job sequencer that selects and implements at least one first and one second welding schedule in a sequence of welding operations from the at least two welding schedules provided by the welder to complete the welding assembly are used. In one embodiment, the manufacturing line may include the first weld plan including at least one first weld parameter and at least one first welding instruction for the welder and the second welding plan including at least one second welding device parameter and at least one second welding instruction for the welder, wherein at least one of the first welding device parameter and the welding instruction sequencer automatically modifies the welding equipment according to the sequence of operations without the welder having to intervene. In one embodiment, the manufacturing line may include a monitoring system that communicates with the welding job sequencer to monitor the complete execution of the at least one welding instruction of the first and second welding schedules.

In one embodiment, a method for monitoring a weld production line in at least one semi-automatic welding work cell for use by a welder to complete an assembly defined by a plurality of welds is provided, wherein the plurality of welds are defined by at least two weld plans, wherein the semi-automatic welding work cell comprises a Includes welding equipment and a welding job sequencer. The method may include at least the following steps: defining at least a first and a second welding schedule in a sequence of welding operations from the at least two welding schedules with the welding job sequencer, the first welding schedule including at least one first welding equipment parameter and at least one first welding instruction and the second welding schedule at least defining a second welder parameter and at least one second welding instruction, wherein at least one of the second welder parameter and the second welding instruction is different from the first welder parameter and the first welding instruction; Determining the completion of the first weld schedule by the welder; automatically modifying the welding equipment according to the second welding schedule, without the welder having to intervene; and monitoring the welding operations. In the embodiment, the method may include automatically modifying the welding equipment according to the second welding schedule based on the completion of the first welding schedule.

In one embodiment, a semi-automatic welding work cell is provided for use by an operator. The embodiment may include welding equipment that has multiple functions to perform welds by the operator, and may include a welding job sequencer that selects from among several functions to set up and organize the welding equipment for the operator. The embodiment may include several functions, such as: a weld plan function defined by a sequence of welding operations; a notification function to instruct the operator to execute the welding schedule; and a quality checking function to monitor at least one welding operation of the sequence of welding operations.

In the embodiment, the quality inspection function performs a quality inspection on a weld completed by the at least one welding operation. In In the embodiment, the quality checking function monitors the at least one welding operation during the at least one welding operation. In the embodiment, the quality inspection function monitors the at least one welding operation after completing the at least one welding operation. In the embodiment, the weld plan function defines multiple weld schedules, each weld schedule having a first weld operation and at least a second weld operation. In the embodiment, the quality checking function monitors the at least one welding operation before the sequence of welding operations may continue. In the embodiment, the quality check function detects an abnormality, the sequencer pauses the sequence of welding operations, and the notification function alerts the operator of the abnormality.

3 FIG. 12 is a schematic block diagram of an exemplary embodiment of the welding system. FIG 300 containing the weld job sequencer component 302 used to configure a welding equipment for two or more welding operations to assemble a workpiece. The weld job sequencer component 302 is configured to implement a welding sequence containing settings, configurations, and / or parameters to perform two or more welding processes on a workpiece. In particular, the weld job sequencer component configures 302 As discussed above as a weld job sequencer, the welding equipment automatically performs two or more welds containing two or more welding schedules. In addition, the weld job sequencer component uses 302 the welding sequence to assist an operator in performing the two or more welds. As discussed above, the weld job sequencer component 302 with the welding work cell 304 be used, which is semi-automatic. However, it will be understood and understood that the weld job sequencer component 302 may be implemented in a suitable welding environment or welding system that includes at least one welding equipment and an operator to facilitate pulling one or more welds.

The welding system 300 also includes a checkpoint component 306 configured to monitor a welding process and / or a welder in real time. For example, the welding process is monitored in real time to detect at least one of a welding parameter (eg, voltage, current, etc.), a welding schedule parameter (eg, welding process, wire type, wire size, wire feed speed, volts, trim, to be used Wire feeder, feed head to be used, etc.), a weld on a workpiece while the weld is being formed, an operator's movement, a position of a welding tool, a position or location of welding equipment, an operator's position, sensor data (eg video camera , Camera, thermal imaging device, thermal detection camera, temperature sensor, etc.) and the like. The checkpoint component 306 includes an alerting system (not shown) that may transmit an alert or notification to indicate a status of real-time monitoring. In one embodiment, the checkpoint component 306 Use thresholds, ranges, limits, and the like for real-time monitoring to detect an abnormality in the welding system 300 to identify precisely. Furthermore, the checkpoint component 306 an alarm or notification to the welding work cell 304 or submit the operator to perform at least one of: stopping the welding process, continuing the welding process, pausing the welding process, completing the welding process, or requesting approval of the welding process. In one embodiment, the checkpoint component 306 Store monitoring data (eg, video, images, results, sensor data, and the like) in at least one of: a server, a data warehouse, a cloud, a combination thereof, and so on.

A weld assessment component 308 is in the welding system 300 and is configured by an operator within the welding work cell 304 to judge the drawn weld at the completion of the welding process. The weld evaluation component 308 allows grading or scoring of the completed weld to allow implementation of quality control on the workpiece and / or assembly of the workpiece. For example, the weld rating component 308 Alerting a quality inspection at completion, performing a data acquisition of an order (for example, assembling the workpiece, a weld on the workpiece, etc.) and the like. In one embodiment, a quality inspection performed by a person may be performed after completion of a portion of the assembly (eg, after completion of a weld, after completion of two or more welds, after completion of the assembly, etc.). In a further embodiment, the weld evaluation component 308 use a sensor to collect data (eg video camera, camera, thermal imaging device, thermal detection camera, temperature sensor, etc.) to determine the approval of the job. For example, a quality inspection may be spatial remote from video or image data acquired after the completion of an order.

It is understood that the the welding job sequencer component 302 an independent component (as shown) into a welding work cell 304 can be integrated into a checkpoint component 306 can be integrated into a weld evaluation component 308 may be integrated, or may be a suitable combination thereof. In addition, as discussed below, the weld job sequencer component 302 a distributed system, software as a service (SaaS), a cloud-based system or a combination thereof. Furthermore, it is clear and it is understood that the checkpoint component 306 an independent component (as shown) into a welding work cell 304 can be integrated into a weld job sequencer component 302 can be integrated into a weld evaluation component 308 may be integrated, or may be a suitable combination thereof. Also, the checkpoint component 306 a distributed system, software as a service (SaaS), a cloud-based system or a combination thereof. In addition, it is clear and it is understood that the weld evaluation component 308 an independent component (as shown) into a welding work cell 304 can be integrated into a weld job sequencer component 302 can be integrated into a checkpoint component 306 may be integrated, or may be a suitable combination thereof. In addition, the weld rating component 308 a distributed system, software as a service (SaaS), a cloud-based system or a combination thereof.

4 FIG. 12 illustrates a schematic block diagram of an exemplary embodiment of the welding system. FIG 400 that has a welding circuit path 405 contains. It is understood that the welding system 400 also referred to as the welding work cell, wherein the welding work cell and / or the welding system 400 Can produce welds or welded parts. The welding system 400 contains a welding machine power source 410 and a display field 415 That with the welding machine power source 410 is actively connected. Alternatively, the display field 415 an integral part of the welder power source 410 be. For example, the display field 415 into the welder power source 410 may be a self-contained component (as shown), or may be a combination thereof. The welding system 100 also includes a welding cable 120 , a welding tool 430 , a workpiece connector 450 , a wire scroll 460 , a wire feeder 470 , a wire 480 and a workpiece 440 , The wire 480 becomes of the role according to an embodiment of the present invention 460 via the wire feeder 470 in the welding tool 430 fed. According to another embodiment of the present invention, the welding system includes 400 neither a roll of wire 460 , nor a wire feeder 470 , another wire 480 Instead, it contains a welding tool containing a consumable electrode, such as used for bar welding. According to various embodiments of the present invention, the welding tool 430 contain at least one of a welding torch, a welding gun and a welding consumable material.

The welding circuit path 405 runs from the welder power source 410 through the welding cable 420 to the welding tool 430 , through the workpiece 440 and / or to the workpiece connector 450 and back through the welding cable 420 to the welding machine power source 110 , During operation, electrical current flows through the welding circuit path 405 while a voltage is applied to the welding circuit path 405 is created. According to an exemplary embodiment, the welding cable comprises 420 a coaxial cable assembly. According to a further embodiment, the welding cable comprises 420 a first cable section coming from the welder power source 410 to the welding tool 430 extends, and a second cable portion of the workpiece connector 450 to the welding machine power source 410 runs.

The welding system 400 includes a weld job sequencer component 302 (as described above). The weld job sequencer component 302 is configured with a section of the welding system 400 to interact. For example, the weld job sequencer component 302 with at least the power source 410 , a part of the welding circuit path 405 , a wire scroll 460 , a wire feeder 470 or a combination of them. The weld job sequencer component 302 automatically adjusts one or more elements of the welding system 400 based on a welding sequence, wherein the welding sequence is used for the welding system 400 (or an item thereof) without operator intervention to perform two or more welding processes with respective settings or configurations for each welding process.

In one embodiment, the weld job sequencer component uses 302 a welding sequence for automatically configuring welding equipment. It is understood that that welding system 400 or the welding work cell may use multiple welding sequences to mount one or more workpieces. For example, a workpiece may include three (3) welds to complete assembly, wherein a first weld sequence may be used for the first weld, a second weld sequence may be used for the second weld, and a third weld sequence used for the third weld can. Moreover, in such an example, the entire assembly of the workpiece containing the three (3) welds may be referred to as a weld sequence. In an embodiment, a welding sequence including specific configurations or steps may further be included in a disparate welding sequence (eg, embedded welding sequence). An embedded welding sequence may be a welding sequence that includes a welding sequence as part of the process. In addition, the welding sequence may include at least one of a parameter, a welding schedule, a portion of a welding schedule, a step-by-step instruction, a portion of media (eg, images, video, text, and the like), a course, etc. In general, the Welding sequence can be generated and used to guide an operator through one or more welding procedures for specific workpieces without the operator making manual adjustments to the welding equipment to perform such welding operations. The present innovation relates to generating a welding sequence and / or modifying a welding sequence.

One or more welder power sources (for example, the welder power source 410 ) aggregate data associated with a particular welding process, for the implementation of which the welder power source provides the power. Such collected data relates to each welding machine power source and is referred to herein as "welding data". Welding data may include welding parameters and / or information specific to the particular welding process that the welder power source is supplying energy. For example, welding data may be an output signal (eg, a waveform, a signature, a voltage, a current, etc.), a welding time, a power consumption, a welding parameter for a welding process, an output of the welding machine power source for the welding process, and the like. In one embodiment, weld data may be included with the weld job sequencer component 302 be used. For example, welding data can be set with a welding sequence. In another example, weld data may be used as a feedback or feedforward loop to verify settings.

In one embodiment, the weld job sequencer component is 302 a computer capable of performing the disclosed methodologies and processes, including the methods described herein 1100 and 1200 , To provide additional context for various aspects of the present invention, the following discussion is intended to provide a brief, general description of a suitable computing environment in which the various aspects of the present invention may be implemented. Although the invention has been described above in the general context of computer-executable instructions that may run on one or more computers, those skilled in the art will recognize that the invention also implements in combination with other program modules and / or as a combination of hardware and / or software can be. Generally, program modules include routines, programs, components, data structures, etc., that perform certain tasks or implement certain abstract data types.

Moreover, those skilled in the art will recognize that the method of the present invention may be practiced with other computer system configurations, including single processor or multiprocessor computer systems, minicomputers, mainframes, and personal computers, handheld computing devices, microprocessor-based or programmable consumer electronics, and the like, each including a or several associated devices can be operatively coupled. The illustrated aspects of the invention may also be practiced in distributed computing environments where certain tasks are performed by remote processing devices that are interconnected via a communication network. In a distributed computing environment, program modules may be located in both local and remote storage devices. For example, a remote database, a local database, a cloud computing platform, a cloud database, or a combination thereof with the welding job sequencer 302 be used.

The welding job sequencer 302 For example, an example environment may be used to implement various aspects of the invention, including a computer, wherein the computer includes a processing unit, a system memory, and a system bus. The system bus couples system components, including, for example, the system memory, to the processing unit. The processing unit can be be any of various commercial processors. Dual microprocessors and other multiprocessor architectures may also be used as the processing unit.

The system bus may be any of various types of bus structure, including a memory bus or memory controller, a peripheral bus, and a local bus employing a variety of different commercial bus architectures. The system memory may include read only memory (ROM) and random access memory (RAM). A basic input / output system (BIOS) that contains the basic routines that help to transfer information between elements within the weld job sequencer 302 to transfer, such as during startup, is stored in the ROM.

The welding job sequencer 302 may further include a hard disk drive, a magnetic disk drive, for example, to read or write a removable disk, and an optical disk drive, for example, to read a CD-ROM disk or to read and write other optical media. The welding job sequencer 302 can contain at least one form of computer-readable media. Computer-readable media can be any available media that the computer can access. As non-limiting examples, computer-readable media may include computer storage media and communication media. Computer storage media includes volatile and nonvolatile, removable or non-removable media implemented in any methods or technologies for storing information such as computer readable instructions, data structures, program modules, or other data. Computer storage media include, for example, RAM, ROM, EEPROM, flash memory or other storage technologies, CD-ROMs, Digital Versatile Disks (DVD), or other magnetic storage devices or other media that may be used to store the desired information and to which the welding job sequencer 302 can access.

Communication media typically embodies computer readable instructions, data structures, program modules, or other data in a modulated data signal, such as a carrier wave or other transport mechanisms, and includes any information delivery media. The term "modulated data signal" means a signal in which one or more of its characteristics are adjusted or changed in such a way as to encode information in the signal. As non-limiting examples, communication media include wired media such as a wired network or a direct-wired connection, and wireless media such as acoustic, radio frequency (RF), short-range communications (NFC), radio frequency identification (RFID), , Infrared and / or other wireless media. Combinations of the above are also included in the scope of computer-readable media.

A number of program modules may be stored in the drives and RAM, including an operating system, one or more application programs, other program modules, and program data. The operating system in the welding job sequencer 302 can be any of a number of commercially available operating systems.

Furthermore, a user may enter commands and information into the computer with a keyboard and a pointing device, such as a mouse. Other input devices may include a microphone, an infrared remote control, a trackball, a pen input device, a joystick, a game pad, a digitizer tablet, a satellite dish, a scanner, or the like. These and other input devices are often connected to the processing unit through a serial port interface coupled to the system bus, but may also be connected through other interfaces, such as a parallel port, game port, universal serial bus (" USB "), an IR interface and / or various wireless technologies. A monitor (for example, a display panel 415 ) or another type of display device may also be connected to the system bus via an interface, such as a video adapter. Visual output can also be achieved with a remote display network protocol, such as a Remote Desktop Protocol (VNC) X Window System, and so on. In addition to visual output, a computer typically also includes other output peripherals, such as speakers, printers, etc.

A display field (in addition to, or in combination with, the display field 415 ) can with the welding job sequencer 302 used to present data that is received electronically by the processing unit. For example, the display panel may be an LCD, plasma, KSR, or other monitor that presents data electronically. Alternatively or additionally, the display panel may present received data in a printed format, such as a printer, a fax, a plotter, etc. The display panel may present data in any color and may receive data from the welding job sequencer 302 over any wireless or hard-wired protocol and / or any wireless or hard-wired standard receive. In another example, the weld job sequencer 302 and / or the system 400 can be used with a mobile device, such as a mobile phone, a smartphone, a tablet computer, a portable game device, a portable internet browser device, a WiFi device, a portable digital assistant (PDA), etc.

The computer may operate in a networked environment using logical and / or physical connections to one or more remote computers, such as one or more remote computers. The one or more remote computers may be a workstation, a server computer, a router, a personal computer, a microprocessor-based entertainment device, a peer device, or any other common network node, and typically include many or all of the elements with reference to the computer. The logical connections shown include a local area network (LAN) and a wide area network (WAN). Such networking environments are commonly found in offices, enterprise-wide computer networks, intranets, and the Internet.

When used in a LAN network environment, the computer is connected to the local area network via a network interface or adapter. When used in a WAN network environment, the computer typically includes a modem, or is connected to a communication server in the LAN, or has other means of establishing communication over the WAN, such as the Internet. In a networked environment, program modules shown with respect to the computer or portions thereof may be stored in the remote storage device. It should be understood that the network connections described herein are exemplary and that other means of establishing a communication link between the computers may be used.

Alternatively or additionally, a local or cloud computing platform (eg, a local, cloud, or remote computer platform) may be used for data aggregation, processing, and delivery. For this purpose, the cloud computing platform may include multiple processors, memory, and servers at a particular remote location. Under a Software as a Service (SaaS) regime, a single application is used by multiple users to access data that resides in the cloud. In this way, the processing requirements are reduced at a local level, since data processing generally takes place in the cloud, thereby relieving the user network resources. The Software as a Service application allows a user to log in to a web-based service (for example, via a web browser) that hosts all programs that are in the cloud.

We turn 5 to. The system 500 illustrates a welding environment with multiple welding work cells via a local, remote or cloud database. The system 500 contains several welding work cells, such as a first welding work cell 515 , a second welding work cell 520 to the nth welding work cell 530 where N is a positive integer. In one embodiment, each welding work cell includes a weld job sequencer component 535 . 540 and 545 which is used to implement one or more welding plans for each welding work cell and, alternatively, for one or more enterprise-wide welding operations and / or a company-wide welding work cell. One or more weld sequences from each weld job sequencer component 535 . 540 and 545 are from the local or cloud database computer platform (for example, a local database, cloud database, or remote database computer platform) 510 receive.

In one embodiment, each welding work cell further includes a local data memory. For example, a first welding work cell contains 515 a weld job sequencer component 535 and a data store 550 , a second welding work cell 520 includes a weld job sequencer component 540 and a data store 555 , and an Nth welding work cell 530 includes a weld job sequencer component 545 and a data store 560 , It is understood that the system 500 the welding job sequencer 302 that passes through the computer platform 510 Each welding work cell includes a distributed and respective welding job sequencer component. However, it is understood that the welding job sequencer 302 (and the distributed weld job sequencer components 535 . 540 and 545 ) a stand-alone component in each welding workcell or a stand-alone component in the computer platform 510 can be.

Each welding work cell may include a respective data store that stores a portion of at least one welding sequence. For example, welding sequences relating to a welding process A are used in one or more welding work cells. The welding sequence is stored in a respective local data memory (for example, the data memories 550 . 555 and 560 ) saved. However, it is clear and understand That is, each welding workcell has a local data store (as shown), a collective and shared remote data store, a collective and shared local data store, a cloud data store hosted by the computer platform 510 hosted, or may contain a combination thereof. For example, a "data store" or "memory" may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The data storage of the systems and methods discussed herein are intended to include, but are not limited to, these and other suitable types of memory. Further, the data storage may be a server, a database, a hard disk, a flash drive, an external hard disk, a portable hard disk, a cloud-based storage, a solid-state storage, and the like.

For example, the weld job sequencer component 302 every weld job sequencer component 535 . 540 . 545 in every welding work cell 515 . 520 . 530 manage. In another embodiment, the communication may be from the weld job sequencer 302 to each welding work cell (e.g., each weld job sequencer component). In another embodiment, the communication from each welding workcell (eg, each weld job sequencer component) may be from the weld job sequencer component 302 be received. For example, a welding sequence with the 1st welding work cell 515 used and directly to a disparate welding work cell or via the computer platform 510 be transmitted.

6 illustrates a welding system 600 containing multiple welding work cells, wherein the welding job sequencer component 302 on the computer platform 510 is hosted to use one or more welding sequences to configure welding equipment within one or more welding systems, one or more welding environments, and / or one or more welding work cells. The welding system 600 includes a local or cloud-based weld job sequencer component 302 working in the computer platform 510 is hosted. The weld job sequencer component 302 can use a welding sequence with a number of welding work cells. For example, the welding system 600 include a number of welding work cells, such as a first welding work cell 620 , a 2nd welding work cell 630 to Nth welding work cell, where N is a positive integer. It is understood that the locality of the welding job sequencer component 302 in relation to every 1st welding work cell 620 , 2. welding work cell 630 and / or Nth welding work cell 640 stands.

In one embodiment, the weld job sequencer transmits 302 one or more welding sequences to a target welding work cell, wherein the target welding work cell is a welding work cell intended to use the transmitted welding sequence. In another embodiment, however, the weld job sequencer uses 302 the memory 650 passing through the computer platform 510 is hosted, in which one or more welding sequences are stored. However, the stored welding sequence may be referenced or directed to one or more welding work cells, regardless of a storage location (eg, local, cloud, remote, etc.).

7 illustrates a system 700 that aggregates data associated with a welding operation performed with a welding sequence. As discussed above, the weld sequence becomes a weld job sequencer component 302 used to create two or more welds with two or more respective weld parameters (eg, weld plans, parameters, configurations, settings, and the like) within the weld work cell 304 perform. In particular, one or more welding sequences are used to automatically configure welding equipment without operator intervention to perform a first welding operation through a first welding schedule and a second welding operation through a second welding schedule. It is understood that a welding sequence may include further steps or procedures for implementation within the welding workcell 304 (as discussed below). The weld job sequencer component 302 is configured to implement one or welding sequences to perform a welding operation, wherein the one or more welding sequences in the welding sequence data memory 706 can be stored. One or more weld sequences may be from the weld sequence data store 706 be identified or selected and loaded or used.

It is understood that the one or more welding sequences are from the welding sequence data memory 706 can be executed, downloaded and executed locally (for example, locally with respect to the location where a weld with the welding sequence is performed), or a combination thereof. As discussed above, the data store (here, the weld sequence data store 706 ) may be either volatile memory or non-volatile memory, or may be both volatile and volatile non-volatile memory included. The data memory (here the welding sequence data memory 706 ) of the system 700 is intended to include, but is not limited to, these and other suitable types of memory. Further, the data storage may be a server, a database, a hard disk, a flash drive, an external hard disk, a portable hard disk, a cloud-based storage, a solid-state storage, and the like. It is understood that received or registered input data (discussed below) may be stored in a dedicated data store for such data, a weld sequence data store, a remote data store, a cloud-based environment, a combination thereof, and so on.

The system 700 further includes a detection component 702 configured to acquire real-time data from a welding operation using a welding sequence. In general, the detection component detects, receives, and / or aggregates 702 a weld parameter from a weld that is performed using a portion of a weld sequence. For example, a welding parameter is aggregated, received, or acquired in real time for a welding sequence that is used to make one or more welds. For example, the welding parameter may be at least one of a parameter for the weld (eg, voltage, current, etc.), a weld plan parameter (eg, welding process, wire type, wire size, wire feed rate (DZG), volts, trim, to be used) Wire feeder, feed head to be used, etc.), movement of an operator, position of a welding tool, position or location of welding equipment, position or location of an operator, location or position of body part of an operator, sensor data (for example video camera, camera, Thermal imaging device, thermal detection camera, temperature sensor, etc.), physical appearance of the weld (eg, weld size, weld shape, weld dimension (s), and the like), welding equipment configurations (eg, power source settings, waveforms, wire feed speed, and the like), welding equipment means (for example, type of workpiece, type of wire, type of material, weld to be performed, and the like), time to create a weld, a location of a fixture, costs to produce the weld (eg, costs include electricity, electrode, gas, labor etc.), a speed for a welding tool, etc. For example, a fixture secures the workpiece against movement during the first weld or the second weld. For example, a fastener may be a clamp, a temporary weld (e.g., a tack weld), and so on. However, it will be understood and appreciated that any welding parameter may be selected with skill in the art without departing from the intended scope of embodiments of the present invention.

The real-time welding parameter is stored and linked to a welding sequence that occurs during the creation of a weld by the detection component 702 has been used. In other words, one or more welding parameters can be tracked and monitored for each welding sequence used to assess data, configure welding equipment or welding technology of the operator, etc. The aggregated welding parameter may be metadata, metadata tags, data storage techniques, data storage management, naming conventions etc. with the corresponding welding sequence (for example, where "corresponding" means the welding sequence used during the detection of the welding parameter). It will be understood that any suitable technique may be used to ensure that a welding sequence is aligned or correlated with one or more welding parameters acquired in real time.

The system 700 also includes a Quality Manager component 704 configured to acquire quality assurance data and generate a modeled welding parameter (also referred to as a welding parameter model, for example). In one embodiment, the quality manager component captures 704 Quality assurance data during execution of a weld for a particular welding sequence. Following the quality assurance data for each welding sequence allows the evaluation of each weld during each section of the welding sequence, such tracking allowing for better results, quality and the like. In one embodiment, the quality manager component is 704 further configured to communicate with the weld evaluation component (in 3 discussed) and / or the checkpoint component (in 3 discussed) to interact or communicate. For example, quality assurance data may be provided by the quality manager component 704 in a periodic time frequency, at a certain point or step during the welding sequence, at a beginning and / or end of a welding sequence and so on. In one example, snapshots may be taken on a timebase, with quality assurance data collected and assessed in real time. If the quality assurance data is not a defined standard the welding sequence can be stopped, stopped, restarted or deleted, etc.

The quality manager component 704 synergistically uses one or more real-time welding parameters for each welding sequence and generates a modeled welding parameter on this basis. This modeled welding parameter is used for the corresponding welding sequence to maintain the quality of welding operations performed with welding sequences. In one embodiment, the modeled welding parameter may be based on one or more welding parameters recorded in real time for each welding sequence. In another embodiment, the modeled welding parameter may be based on a real-time registered welding parameter during a welding training session, a virtual welding session, a welding simulation, or a special welding session to generate a modeled welding parameter. For example, a welding parameter A may be monitored and detected in real time for each case where the welding sequence W is used. After a period of time or two or more welds, these data acquired for the welding parameter A may be assessed to produce a modeled welding parameter A '. The modeled welding parameter A 'may be used for welding operations that use the welding sequence W to maintain consistency and / or quality. In another example, more than a single welding parameter may be acquired in real time to generate one or more welding parameter models. For example, data may be used for welding parameters A and B with welding sequence W, from which the modeled welding parameter AB 'for use with the welding sequence W may be generated. It is understood that any suitable number of welding parameters may be used to create a welding parameter model, and the above discussion is only exemplary.

The term "modeled welding parameter" and / or "welding parameter model" in the sense of the present document may be defined as an estimated value for a measurement or measured value of a welding parameter in real time, the targeted value being based on two or more real time measurements (eg welding parameter real time measurements ) for a specific welding sequence and weld created. It is understood that the "modeled welding parameter" and / or "welding parameter model" may be user-defined, may be identified with statistical analysis of two or more real-time welding parameters, identified via a weld performed by a user with a welding sequence to detect a real-time welding parameter, or a combination thereof. For example, the statistical analysis may include an average of two or more real-time welding parameters, an area based on two or more real-time welding parameters, a threshold tolerance based on one or more real-time welding parameters, a weighted average of two or more real-time welding parameters. Welding parameters, a median, a standard deviation, etc. However, it will be understood and appreciated that a modeled welding parameter and / or welding parameter model may be used with any formula using two or more real-time welding parameters that may be selected with expert judgment without departing from the intended scope of embodiments of the present invention Deviate from the invention.

It is understood that a real-time detection of a welding parameter for a welding sequence in one or more environments may be used independently of a source or detection of the welding parameter (for example, regardless of where a welding sequence is used and where the data acquisition is taking place). For example, an operator may perform two or more welds with the welding sequence W in welding environment A and further use welding parameters acquired from the two or more welds with the welding sequence W to create a welding parameter model in welding environment B. In another example, real-time welding parameter data (during use of welding sequence W) in welding environment A and welding environment B may be acquired to generate a welding parameter model for welding sequence W for use in welding environment A, welding environment B and / or welding environment C.

In one example, a welding sequence may include quality assurance detection (also referred to as detection quality assurance data, for example). The welding sequence may be generated, edited or modified to include quality assurance detection for at least one of a welding work cell, a welding equipment and one or more welds. For example, the quality assurance detection may include data collection of at least one of a welding equipment (eg, settings, physical location, consumable amount, and the like), the operator (eg, physical location of the person, location of the arms, location of the hands, and the like) or a weld (for example, dimensions, size, location of the weld, etc.). It is understood that the data acquisition video, audio, pictures, settings, welding equipment settings, the physical location of the operator, movements of the Operator and the like can be. For example, a quality assurance detection may be included in a welding sequence as a step therein, wherein the detection is based on a particular frequency, duration, or point in a welding process (eg, center of the weld, end of the weld, and the like). In this way, a welding environment, a welding system and / or a welding work cell can capture quality assurance data in real time. In one example, quality assurance detection may be a step in a welding sequence at a particular point in the welding process. In a specific example, the welding sequence may be evaluated over time to identify specific parts or areas where a weld contains a defect. In such an example, the quality assurance detection may be configured to capture data at a time prior to the designated point to avoid the error.

In one example, a welding sequence may include replenishing a consumable. The welding sequence may be generated or processed to include the replenishment of a consumable for a welding workcell and / or welding equipment, and so on. For example, a replenishment of a consumable into a welding sequence may be commenced after a period of time, the period being estimated on the basis of the duration the welding equipment is used (for example, an estimate of the use of consumables). In this way, a welding environment, a welding system and / or a welding work cell can be evaluated in real time or on the basis of detected real-time data and identification data in order to determine the replenishment of a consumable.

In another example, a welding sequence may include an inspection or a repair. The welding sequence may be generated or edited to include an inspection request or a repair request based on a factor such as time, duration, etc. A welding work cell may have a maintenance period for a certain time, and if a welding sequence is generated for such a welding work cell, repair or maintenance may be included in the generated welding sequence. In this way, a welding environment, a welding system and / or a welding work cell can be assessed in real time or on the basis of detected real-time data and identification data in order to determine inspections or repairs.

In another example, a welding sequence may include a pre-shift routine that is performed prior to a welding operation. For example, a layer may be part of a scheduling of operators or employees, where the layer is a period of time that the operators operate. For example, a shift can go from 7 to 15 o'clock. Based on the collected historical welding data or real-time welding data, an estimate of the welding time can be calculated to enable the determination of the maintenance operations to be performed on the welding equipment. In one embodiment, at least one of gas flow, weld tip state, weld tip replacement, nozzle inspection, and nozzle replacement may be included in a weld sequence based on the estimate of weld time.

Furthermore, it is clear and it is understood that the detection component 702 may be a stand-alone component (as shown) in a weld job sequencer component 302 may be integrated into a welding equipment (not shown) into a quality manager component 704 can be integrated into a welding work cell 304 can be integrated, or a combination thereof can be. In addition, the weld job sequencer component 302 may be a stand-alone component (as shown) may be in a detection component 702 integrated, can be integrated into a (not shown) welding equipment, can in a quality manager component 704 Being integrated can turn into a welding work cell 304 be integrated, or can be a combination thereof. Furthermore, the weld sequence data memory 706 a local data store, a remote data store, a cloud-based data store, a computer platform and / or any other network or computing environment configuration discussed above with respect to the weld job sequencer component.

8th illustrates a system 800 which transmits a portion of media to an operator to facilitate the creation of a weld with a welding process. The system 800 also includes an instructional component 802 that is configured to send data to the welding work cell 304 in order to enable the production of a weld using a welding sequence, the data relating to a part of media (for example audio, video, image and the like). In one example, the portion of media may include a weld (eg, a physical appearance), a welding torch (eg, alignment, location, etc.), a workpiece (e.g., the location of a fixture, etc.), a body portion of the operator (e.g. Place of a hand, body location, etc.) or one Combination of it. In one embodiment, the guidance component receives 802 a portion of media corresponding to a welding sequence or portion of a welding sequence (eg, a step, a part, etc.) and transmits that portion of media to an operator performing a welding operation using the welding sequence or portion of the welding sequence. In another embodiment, the guidance component acquires the portion of media via the quality manager component 704 , For example, a portion of media may be stored for a weld (having a weld sequence) that has one or more welding parameters identified for the modeled welding parameter. In another case, a predetermined portion of media may be assigned to each section of the welding sequence. In general, a portion of media is presented to the operator, wherein the portion of media is based, at least in part, on a modeled welding parameter, a welding parameter model, a user-defined portion of media, a simulated welding operation, a virtual welding operation, and so on.

The instructional component 802 is further configured to communicate the part of media corresponding to the welding sequence used. For example, the portion of media may be communicated via a device (eg, a smartphone, a speaker, a display panel, a handheld portable game device, a tablet computer, a laptop, a monitor, a television, etc.). In addition, the portion of media may be displayed on an equipment of the operator or using an equipment of the operator. For example, the operator's equipment may include a helmet, visor, goggles, glove, welder's apron, jacket, sweat gauntlet, operator's mark, earphone, headphone, earmuff, headband, headscarf, watch , a jewel (for example, a ring, necklace, bangle, etc.) and the like.

In one embodiment, the guidance component 802 display a hologram (for example, holographic images, 3D images, 3D video, holographic video, and the like) on at least one of equipment of the operator, a workpiece, or a surface on which the workpiece is located. The hologram may be a "ghosting" showing the execution of a weld with the welding sequence to give the operator a position (for example, the operator's physical location, the location of the fixture, angle or position of the welding torch, location of the workpiece, etc.). Movements (e.g., welding torch motions to create the weld and the like), a rate (e.g., the rate of pulling the weld and the like), weld dimensions (eg, weld size, weld appearance, and the like), etc., are to be conveyed or shown.

In a further embodiment, the guidance component 802 indicate to the operator a location to weld on the welding sequence, indicating the location via an indicator (eg, a light, a target, a graphic, an image, etc.). For example, an indicator may be displayed on a visor of the operator such that the indicator is positioned from the operator's point of view at a location where the weld should be performed for the welding sequence.

9 illustrates a system 900 that transmits an alarm to an operator performing one or more welds using a welding sequence. The system 900 contains a notification component 902 that send an alarm to the welding work cell 304 transmitted. In particular, the notification component 902 an alarm to the workpiece 904 and / or the operator 906 and / or the equipment 908 to transfer. It is understood that the alert may be transmitted to pass information or notification regarding at least one of: the welding sequence used, a quality assurance condition (eg, real-time monitoring versus one or more modeled welding parameters, out of range, or tolerance level); the movement with which the weld is pulled is wrong, etc.), a working environment condition (for example, a lunch break, a break time, a time of day, a shift end, a public notice, an evacuation notice, a fire alarm, an emergency alarm, a shift start, etc.) Pause end, the end of a lunch break, etc.), welding equipment (eg welding torch in wrong position, etc.), welding consumables (eg refill warning, amount or level of consumables, wire board is too short, wire board is too long, etc.), safety concerns ken (for example, proximity to the welding torch, proximity to welding equipment, etc.), or a combination thereof.

For example, the notification component 902 a red light on the workpiece 904 Show to the operator 906 to alert him to stop welding because a problem has been detected (see, for example, the examples above). In another case, an audio signal may be used to assist the operator 906 notify that welding is completed for a particular workpiece or passed a quality test. In another case, a green light on the equipment 908 light up, which requires the replenishment of a consumable. For example, alarms can alert the operator 906 for a sequence on how to replace a consumable. In another example, a vibration or haptic feedback alert may be to the operator 906 be transmitted.

In another example, background music may be for the operator 906 be played, which is interrupted when an alarm or other communication takes place. In a concrete example, according to the to the operator 906 transmitted alarm the background music are modified (for example, the tempo can be increased or decreased, the music genre can be changed, the music category can be changed, the artist can be changed, etc.). For example, if the operator is performing a weld with a welding sequence at a faster pace, the tempo of the background music may be changed (for example, it may be increased to announce that the tempo is too fast, or slowed down) Informing operators that the tempo is slowing down, or another performer can be recorded if too fast a tempo is detected, etc.).

10 illustrates a system 1000 that outputs an alarm to an operator creating a weld with a welding sequence based on a condition within a welding work cell. The system 1000 contains the notification component 902 , which is also the manager component 1002 which is configured to a condition in the welding work cell 304 to judge. The manager component 1002 can be one or more alarms 1004 select that to the welding work cell 304 are to be transmitted on the basis of a condition detected therein. If, for example, the noise level within the welding work cell 304 is high, so a visual alarm or a haptic alarm can be transmitted. In another example, if an operator 906 is located at a distance from a display panel or can not see the display, so an audio alarm and / or haptic alarm can be transmitted. In another example, if the operator 908 outside the welding work cell 304 is located (outside the audio alarm and / or visual alarm area), a haptic alarm via a wireless device or a portable device (such as the operator 906 in itself, or which is integrated into an equipment of the operator, etc.). For example, the operator may be provided with haptic feedback (eg, motion, vibrations, and the like) by the notification component 902 be transmitted.

In another embodiment, an urgency of the alarm may determine what to transmit for an alarm (eg, audio, visual, haptic, and / or combinations thereof). For example, an evacuation alert may be communicated with an audio alert, a visual alert, and a haptic alert. A less urgent alarm can be transmitted through a haptic alarm, as such an alarm will not distract or interrupt other operators except the receiving operator. It is understood that the manager component 1002 previously defined settings for alarms, conditions, and so on. In addition, the manager component 1002 Capture real-time data and automatically adjust it based on operator preferences.

With regard to the exemplary apparatus and elements described above, methodologies that may be implemented in accordance with the present subject matter disclosed are based on flowcharts and / or methodologies of 11 and 12 better understood. The methodologies and / or flowcharts are shown and described as rows of blocks. The present subject matter claimed is not limited by the order of the blocks, as some blocks may appear in different orders and / or concurrently with other blocks than shown and described herein. In one embodiment, a first input may be received prior to a second input (as described below). In another embodiment, a second input may be received prior to a first input. In one embodiment, a first input and a second input may be received substantially simultaneously. In addition, not all illustrated blocks may be required to implement the methods and / or flowcharts described below.

The following occurs sequentially, as in the decision tree flowchart 1100 from 11 This illustrates a flowchart 1100 by identifying a welding parameter model for a welding sequence based on one or more welding parameters recorded in real time for the welding sequence used to create at least one weld. The methodology 1100 collects data (eg, welding parameters) during a welding operation using a welding sequence to generate a welding parameter model (also referred to as a modeled welding parameter, for example) used with the welding sequence (for example, at a later time), wherein the welding parameter model is based on the acquired data. A welding sequence to be used by an operator in a welding work cell is identified, wherein the welding sequence defines a first welding method including a first parameter to create a first weld on a workpiece and a second welding method including a second parameter to create a second weld on the workpiece (reference block 1102 ). The welding sequence is used to automatically modify a welding equipment within the welding work cell without operator intervention, pulling at least one of the first weld and the second weld (reference block 1104 ). A welding parameter is detected in real time during the formation of the first weld and / or the second weld (reference block 1106 ). The welding parameter is linked to the welding sequence and the first weld and / or the second weld (reference block 1108 ). A welding parameter model is generated on the basis of one or more welding parameters recorded in real time (reference block 1110 ). The welding parameter model is implemented for the welding sequence that is performed at a time after the formation of the first weld and / or the second weld (reference block 1112 ).

The following occurs as shown in the flowchart 1200 from 12 is illustrated. The flowchart 1200 relates to generating a welding parameter model for a welding sequence based on one or more parameters detected by an earlier welding operation using the welding sequence. A welding sequence is used to automatically modify a welding equipment within a welding work cell without operator intervention, pulling at least one of the first weld and the second weld, the welding sequence defining a first welding method including a first parameter around a first weld to generate the workpiece, and defining a second welding method that includes a second parameter to create a second weld on the workpiece (reference block 1202 ). A welding parameter is detected during the formation of the first weld and / or the second weld with the welding sequence in real time (reference block 1204 ). A welding parameter model is generated based on one or more welding parameters recorded in real time for the welding sequence (reference block 1206 ). The welding parameter model is used for a new welding operation using the welding sequence (reference block 1208 ).

In one embodiment, the method may include at least the steps of displaying a portion of media that illustrates the execution of the welding parameter model, wherein the portion of media is at least one of: a video, an image, a pictorial representation, a holographic image holographic video, a three-dimensional (3D) image or a 3D video. In an embodiment, the method may include at least the steps of: monitoring the welding work cell to identify a condition related to a noise level, an operator's activity, or a user's location; and transmitting an alarm to the operator based on the condition, wherein the alarm is based on at least one of the welding sequence, creating another weld, or real-time comparison of another weld created with the welding parameter model.

For example, welding equipment (eg, a welder power source control unit, a wire feeder, a welder power source, etc.) may include one or more steps relating to a particular workpiece welding process, where one step is a respective setting or configuration for at least may contain welding equipment. For example, a first workpiece may include steps A, B, C, and D based on desired welding parameters, the welding process used, and / or the workpiece. In another example, a second workpiece may include steps B, C, A, E, and F. Thanks to the use of a welding sequence, the control unit, which implements the steps for the welding process via the welding machine power source and / or welding equipment, can be managed and / or instructed. For example, the welding sequence may indicate at least one of: steps to be performed, re-executing a step, skipping a step, pausing a sequence of steps, etc. Further, a controller (for example, or other suitable component) may include one or more welding machines. Current sources, parameters, welding plans, etc., which are associated with one or more welding processes, each welding process can have one or more corresponding welding sequences.

In one embodiment, a system may include a weld assessment component configured to assess the first weld and / or the second weld performed by the operator on the workpiece based on an image of the first weld or the second weld and / or a user inspection. In one embodiment, the detection component associates a part of the judgment the identified welding sequence and the first weld and / or the second weld. In one embodiment, the system may include a checkpoint component configured to monitor the operator and the formation of the first weld and / or the second weld in real time using the welding sequence, and may include the detection component that forms part of the weldment Monitoring associated with the identified welding sequence and the first weld and / or the second weld.

In one embodiment, the system may include the weld job sequencer component that is further configured to convey an instruction to the operator of the welding work cell to assemble the workpiece, wherein the first welding method and the second welding method have two separate welding schedules, the instruction Part of the surveillance and / or part of the assessment.

In an embodiment, the system may include a quality manager component configured to assess the real time welding parameter for the first weld and / or the second weld produced with the welding sequence and to identify a welding parameter model. In one embodiment, the welding parameter model is based on an average measurement of the real-time welding parameter. In one embodiment, the welding parameter model is a defined range of values based on the real-time welding parameter. In one embodiment, the welding parameter model includes a threshold tolerance based on the real-time welding parameter. In one embodiment, the detection component associates the welding parameter model with the identified welding sequence and the first weld and / or the second weld. In one embodiment, the quality manager component is further configured to receive the real-time welding parameters to use as the welding parameter model.

In an embodiment, the system may include an instructional component configured to capture a portion of media acquired during the generation of the weld parameter model during the first weld and / or the second weld. In one embodiment, the guidance component displays the portion of media on an equipment of the operator as at least one of: a video, a portion of audio, a three-dimensional (3D) image, a hologram, or an image.

In an embodiment, the system may include a notification component configured to generate an alarm to the operator based on at least one of: the welding sequence, performing the first weld or the second weld, or comparing the real-time Welding parameter with a welding parameter model calculated on the basis of the historical welding parameter data for the welding sequence. In one embodiment, the notification component is further configured to communicate the alarm to the operator based on an urgency of the alarm or a condition within the welding workcell.

The examples described above merely illustrate various possible embodiments of various aspects of the present invention, and equivalent changes and / or modifications will occur to those skilled in the art upon reading and understanding this specification and the appended drawings. Specifically, with respect to the various functions performed by the above-described components (assemblies, devices, systems, circuits, and the like), it is intended that the terms (including the use of the term) "unless otherwise specified." Means ") used to describe such components correspond to any components, such as hardware, software or combinations thereof, that perform the specified function of the described component (which, for example, is functionally equivalent), even if disclosed Structure that performs the function in the illustrated implementations of the invention is not structurally equivalent. Further, while a particular feature of the invention has been disclosed with reference to only one of various implementations, such feature may be combined with one or more other features of the other implementations as desired and advantageous for a given or particular application is. Inasmuch as the terms "including," "includes," "having," "having," "having," or variants thereof are used in the detailed description and / or claims, it is further intended that these terms be interpreted in a manner similar to the term "include" are inclusive.

This written description uses examples to disclose the invention, including the best mode of execution, and also to enable one of ordinary skill in the art to practice the invention, including making and using the devices or systems and practicing the methods contained herein , The patentable scope of protection of The invention is defined by the claims and may also include other examples that occur to those skilled in the art. It is intended that such other examples also fall within the scope of the claims if they have structural elements that do not differ from those in the claims, or if they include equivalent structural elements with insubstantial differences from the literal languages of the claims.

The best mode for carrying out the invention has been described for the purpose of illustrating the best mode known to the applicant at this time. The examples are illustrative only and are not intended to limit the invention; this must be defined solely on the basis of the spirit and scope of the claims. The invention has been described with reference to preferred and alternative embodiments. Of course, other people will come up with modifications and changes when reading and understanding the specification. It is intended to cover all such modifications and changes as fall within the scope of the appended claims or their equivalents.

LIST OF REFERENCE NUMBERS

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300

welding system

302

component

304

Welding cell

306

Check point component

308

Welding evaluation component

400

welding system

405

Welding circuit path

410

Welder power source

415

display

420

welding cable

430

welding tool

440

workpiece

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Workpiece connector

460

wire roll

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Wire feeder

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wire

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system

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computer platform

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workcell

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workcell

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workcell

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Schweißauftragssequenzierer component

540

Schweißauftragssequenzierer component

545

Schweißauftragssequenzierer component

550

data storage

555

data storage

560

data storage

600

welding system

620

1. welding work cell

630

2. welding work cell

640

Nth welding work cell

650

Storage

700

system

702

detection component

704

Manager component

706

Stocks

800

system

802

maintenance component

804

cost component

900

system

902

instructions component

904

labeling component

906

workpiece

908

Body part of the operator

910

Place of equipment

1000

system

1002

welding environment

1004

welding sequence

1100

Procedure or chart

1102

reference block

1104

reference block

1106

reference block

1108

reference block

1110

reference block

1200

Method or flowchart

1202

reference block

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reference block

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reference block

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Plan or step

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step

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Claims (15)

Welding system comprising: a weld job sequencer component configured to identify a welding sequence for a welding work cell, the welding sequence defining at least one parameter and welding schedule for a first welding process to create a first weld on a workpiece, and defined for a second welding process, to create a second weld on the workpiece; wherein the weld job sequencer component is further configured to use the welding sequence in the welding work cell to automatically configure welding equipment to perform the first welding process and the second welding process on a workpiece without operator intervention; a detection component configured to acquire a real-time welding parameter for the first weld and / or the second weld, the detection component correlating the real-time welding parameter with the identified welding sequence and with the first weld and / or the second weld. The welding system of claim 1, further comprising a weld evaluation component configured to accept the first weld and / or second weld performed by the operator on the workpiece based on an image of the first weld or the second weld and / or a user inspection judge. The welding system of claim 2, wherein the detection component associates a portion of the assessment with the identified welding sequence and the first weld and / or the second weld. A welding system according to claim 2 or 3, further comprising: an inspection point component configured to monitor the operator and the formation of the first weld and / or the second weld in real time using the welding sequence; and wherein the detection component associates a portion of the monitoring with the identified welding sequence and the first weld and / or the second weld, and preferably further comprises: the weld job sequencer component is further configured to communicate an instruction to the operator of the welding work cell to assemble the workpiece, the first welding method and the second welding method having two separate welding schedules; and wherein the instruction includes the part of the monitoring and / or the part of the judgment. The welding system of claim 1, further comprising a quality manager component configured to assess the real time welding parameter for the first weld and / or the second weld produced with the welding sequence and to identify a welding parameter model , The welding system of claim 5, wherein the welding parameter model is based on an average measurement of the real time welding parameter, or wherein the welding parameter model is a defined range of values based on the real time welding parameter, or wherein the welding parameter model includes a threshold tolerance based on the real-time welding parameter. The welding system of any one of claims 1 to 6 and preferably of claim 6, wherein the detection component associates the welding parameter model with the identified welding sequence and the first weld and / or the second weld. The welding system of any one of claims 1 to 6 and preferably of claim 6, wherein the quality manager component is further configured to receive the real-time welding parameters to use as the welding parameter model. The welding system of any one of claims 1 to 8 and preferably claim 8, further comprising a guidance component configured to detect a portion of media that engages during the generation of the weld parameter model during the first weld and / or the second weld and preferably wherein the guidance component displays the portion of media on an equipment of the operator as at least one of: a video, a portion of audio, a three-dimensional (3D) image, a hologram, or an image. The welding system of claim 1, further comprising a notification component configured to generate an alarm to the operator based on at least one of the following: A welding sequence, performing the first weld or the second weld, or comparing the real time welding parameter with a welding parameter model calculated based on the historical welding parameter data for the welding sequence, and preferably wherein the notification component is further configured to provide the operator with the welding parameter To transmit an alarm based on an urgency of the alarm or a condition within the welding work cell. Welding system for welding in a welding work cell, in particular according to one of claims 1 to 10, suitable for: Identifying a welding sequence to be used by an operator in a welding work cell, the welding sequence defining a first welding method including a first parameter to produce a first weld on a workpiece, and defining a second welding method including a second parameter to create a second weld on the workpiece; Using the welding sequence to automatically modify a welding equipment within the welding work cell without operator intervention, pulling at least one of the first weld and the second weld; Detecting a welding parameter in real time during the formation of the first weld and / or the second weld; Linking the welding parameter to the welding sequence and the first weld and / or the second weld; Generating a weld parameter model based on one or more welding parameters acquired in real time; and Implementing the welding parameter model for the welding sequence that is performed at a time after the formation of the first weld and / or the second weld. The welding system of claim 11, further adapted to display a portion of media that illustrates execution of the weld parameter model. The welding system of claim 12, wherein the portion of media is at least one of: a video, an image, a pictorial representation, a holographic image, a holographic video, a three-dimensional (3D) image or a 3D video. A welding system according to any one of claims 11 to 13, which is further suitable for: Monitoring the welding work cell to identify a condition relating to a noise level, an activity of the operator or a location of the operator; and Transmitting an alarm to the operator based on the condition, wherein the alarm is based on at least one of the welding sequence, creating another weld, or real time comparison of another weld created with the welding parameter model. Welding system comprising: means for identifying a welding sequence to be used by an operator in a welding work cell, the welding sequence defining a first welding method including a first parameter to produce a first weld on a workpiece and a second welding method defining a second parameter includes to create a second weld on the workpiece; means for using the welding sequence to automatically modify a welding equipment within the welding work cell without operator intervention, pulling at least one of the first weld and the second weld; a means for detecting a welding parameter in real time during formation of the first weld and / or the second weld; a means for associating the welding parameter with the welding sequence and the first weld and / or the second weld; means for generating a weld parameter model based on one or more welding parameters acquired in real time; and a means for implementing the welding parameter model for the welding sequence that is performed after the first weld and / or the second weld.

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