KR20170108728A - Apparatus for discriminating quality of welding real time typed in kiosk - Google Patents
Apparatus for discriminating quality of welding real time typed in kiosk Download PDFInfo
- Publication number
- KR20170108728A KR20170108728A KR1020160033071A KR20160033071A KR20170108728A KR 20170108728 A KR20170108728 A KR 20170108728A KR 1020160033071 A KR1020160033071 A KR 1020160033071A KR 20160033071 A KR20160033071 A KR 20160033071A KR 20170108728 A KR20170108728 A KR 20170108728A
- Authority
- KR
- South Korea
- Prior art keywords
- welding
- data
- real
- information
- time
- Prior art date
Links
- 238000003466 welding Methods 0.000 title claims abstract description 444
- 238000000034 method Methods 0.000 claims abstract description 83
- 230000008569 process Effects 0.000 claims abstract description 64
- 230000007547 defect Effects 0.000 claims abstract description 23
- 230000008859 change Effects 0.000 claims abstract description 16
- 230000006855 networking Effects 0.000 claims abstract description 12
- 238000004891 communication Methods 0.000 claims abstract description 11
- 238000003745 diagnosis Methods 0.000 claims description 25
- 238000009434 installation Methods 0.000 claims description 11
- 239000003638 chemical reducing agent Substances 0.000 claims description 9
- 238000012790 confirmation Methods 0.000 claims description 8
- 238000009826 distribution Methods 0.000 claims description 7
- 230000006641 stabilisation Effects 0.000 claims description 5
- 238000011105 stabilization Methods 0.000 claims description 5
- 238000012795 verification Methods 0.000 claims description 2
- 238000004458 analytical method Methods 0.000 abstract description 13
- 238000004519 manufacturing process Methods 0.000 abstract description 8
- 238000007726 management method Methods 0.000 description 26
- 238000012423 maintenance Methods 0.000 description 12
- 238000007689 inspection Methods 0.000 description 9
- 230000007613 environmental effect Effects 0.000 description 6
- 230000009897 systematic effect Effects 0.000 description 4
- 230000009471 action Effects 0.000 description 3
- 238000013480 data collection Methods 0.000 description 3
- 230000002950 deficient Effects 0.000 description 3
- 230000003449 preventive effect Effects 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- 238000013461 design Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000004927 fusion Effects 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 238000003908 quality control method Methods 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 1
- 238000013523 data management Methods 0.000 description 1
- 230000003628 erosive effect Effects 0.000 description 1
- 238000004880 explosion Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000005493 welding type Methods 0.000 description 1
Images
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23K—SOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
- B23K11/00—Resistance welding; Severing by resistance heating
- B23K11/24—Electric supply or control circuits therefor
- B23K11/25—Monitoring devices
- B23K11/252—Monitoring devices using digital means
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23K—SOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
- B23K11/00—Resistance welding; Severing by resistance heating
- B23K11/36—Auxiliary equipment
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23K—SOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
- B23K31/00—Processes relevant to this subclass, specially adapted for particular articles or purposes, but not covered by only one of the preceding main groups
- B23K31/12—Processes relevant to this subclass, specially adapted for particular articles or purposes, but not covered by only one of the preceding main groups relating to investigating the properties, e.g. the weldability, of materials
- B23K31/125—Weld quality monitoring
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41875—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by quality surveillance of production
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23K—SOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
- B23K2101/00—Articles made by soldering, welding or cutting
- B23K2101/006—Vehicles
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Landscapes
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Quality & Reliability (AREA)
- General Engineering & Computer Science (AREA)
- Manufacturing & Machinery (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- General Factory Administration (AREA)
- Manipulator (AREA)
Abstract
Description
The present invention relates to a welding quality determining apparatus for determining a welding quality based on welding data (for example, welding current or voltage, resistance, heat quantity).
In general, welding equipment with manual, automatic, and robot erosion welding machines are combined with control devices using PLCs (Programmable Logic Controllers) to perform sequence control and quality control of welders.
Such ordinary welding is a work process in which two or more welded materials are welded together and integrally joined together, which is one of the facilities in which quality control becomes important. In other words, if the welding equipment is not periodically managed, there is a problem in welding quality such as welding defect or welding part is separated due to omission of the spot or missing welding strength.
Therefore, a welding quality judging system has been proposed to solve such a problem (refer to the prior art (Korean Registration No. 10-0926550 entitled " Weld Quality Inspection System and Inspection Method ")).
On the other hand, the conventional welding quality judgment system is an integrated management system based on a server, that is, it is a concept system for managing not only welding quality but also other welding related data in real time, And there was a certain restriction in confirming welding quality in real time in the field, and the results of the measures could not be immediately feedbacked.
Meanwhile, the demand for 'industrial welding robots' is increasing in the explosion trend not only in Korea but also in the whole world. However, by integrating 'industrial welding robots', it is possible to diagnose the status of major parts used in the welding robot system in real- There is no systematic system for maintenance management and lifetime management. As a result, the state of the main parts and the maintenance of the life span are not properly controlled, so that a lot of unnecessary post management costs are paid. It is made for a specific robot company to use only for the robot itself.
SUMMARY OF THE INVENTION The present invention has been developed in order to solve the above-mentioned problems, and it is an object of the present invention to solve a problem caused by a server-based welding quality integrated management system so that a field worker can directly confirm welding quality at a process site, Time robot and a welding quality judging device which are capable of checking the change of the process capability by reflecting the environmental factors of the production site through the actual data and taking prompt action in case of welding defect.
The other purpose is real-time data collection by welding robot parts item, such as motor shaft load ratio, encoder temperature, decelerator torque, etc., measured by each welding robot in operation of industrial welding robot. Time robot and a welding quality judging device of a kiosk type in which preventive maintenance can be performed promptly.
To achieve these and other advantages and in accordance with the purpose of the present invention, as embodied and broadly described herein, there is provided a kiosk type real-
A communication networking unit connected to the welding machine T / C unit in the field, a control unit for receiving the welding room data generated in the field from the welding machine T / C unit through the communication networking unit and determining the real time welding quality, Wherein the controller collects actual data of each welding spot generated at the time of welding in the field by a user set collection quantity and sets an average value for each set welding data item for the collected real data And automatically sets a coin acceptance range for the set weld data item by applying the registered coin acceptance range setting information to the calculated average value, The welding spot data of the spot measured after the automatic setting It characterized in that for real-time weld quality is determined.
Preferably, the controller receives and registers the user billing range setting information including the lower limit value and the upper limit value information of the actual data average value for each set welding data item, and outputs the lower limit value and the upper limit value of the registered average value as the collection And a real-time welding quality judging section for judging real-time welding quality data of the welding spot data measured on the spot after the automatic setting based on the set uniformity range .
The control unit may set the welding error status information detected for each process or for each setting reference classification factor including at least one of equipment and specification according to the determined welding quality information as a user setting And automatically alarms the pre-registered terminal or mail in accordance with the management time information.
Preferably, the welding error status information includes at least one of a PLC signal missing, a TC data missing, a matching error status, a PLC status, a TC status, a SPC connection status, a sealer connection status, And at least any one of them is included.
The control unit analyzes the process information in real time on the basis of the result information determined based on the unloading determination based on the automatically set coin disbursement determination range to check whether the change in the process capability occurs through the actual data of the field welding, Wherein the checking whether the change in the process capability through the actual data of the welding has occurred includes confirming the result information determined to be coarse based on the actual data, and if the result information determined as the coinage is the welding defect determination information, The weld defect range is confirmed on the basis of the welding data distribution diagram set on the basis of the constant welding data standard value as a reference of the predetermined welding data distribution map for each of the RB points so that the determined welding defect range deviates from the predetermined weld defect range or more, If the deviation from the set normal stabilization level is exceeded, It characterized in that to determine that.
Preferably, the control unit receives the actual data of each welding point generated at the welding in the welding process from the welding machine T / C device, receives the process signal from the welding-related PLC, and stores the welding position in the pre- Information and data are matched and displayed on the registered drawing, and the welding position is confirmed in real time.
The control unit receives the actual data of each welding spot generated at the welding in the field from the welding machine T / C device, registers and manages the welding information for each product number, and includes at least any one of a product number, specification, And when the search condition information is inputted, the welding trace result information is provided and the welding trace confirmation process is performed.
Preferably, the control unit calculates the actual data of the welding robot component items of the motor shaft load ratio (torque), the encoder temperature, and the speed reducer load ratio (torque) of each welding point generated in the field welding from the welding robot controller Calculating a mean value for each welding robot component item with respect to the collected real data, receiving and registering user life cycle standard setting information, and registering the registered user standard life cycle range setting information with the calculated average Values of the welding robot parts are automatically set for each of the welding robot part items so that the actual life span of each welding robot part is calculated with respect to the welding robot part room data measured after the automatic setting based on the set life cycle range, And a period is determined.
The control unit receives the user life cycle reference setting information including the lower limit value and the upper limit value information of the average value of the respective pieces of the actual welding data for each set welding robot part item, registers the lower limit value and the upper limit value of the registered average value The life cycle period range applied to the average value calculated for the collected actual welding data for each welding robot part item is automatically set for each item of the set welding robot part, And a real-time life cycle determination is made for each welding robot part with respect to the actual welding robot component data.
Preferably, the control unit compares the actual data of each weld robot component item in the field with the life cycle range of each weld robot item, and if the actual data per welding robot item of the field is the set welding robot And the life cycle completion information of the welding robot component is alarmed to the pre-registered terminal when the life cycle period of the welding robot component exceeds the life cycle range of each item.
Then, the control unit collects the actual data of the welding robot parts item of the motor shaft load ratio (torque), the encoder temperature, and the speed reducer load ratio (torque) of each welding spot generated in the field welding from the welding robot controller Calculating a mean value for each weld robot component item with respect to the collected real data, receiving and registering user diagnostic reference setting information, and comparing the registered user reference diagnostic range setting information with the calculated average value The diagnosis range is automatically set for each welding robot component item and a real-time failure diagnosis is performed for each welding robot component on the basis of the welding robot component real data measured on the spot after the automatic setting on the basis of the set diagnostic range do.
Preferably, the control unit receives and registers the user diagnosis reference setting information including the lower limit value and the upper limit value information of the average value of the respective pieces of the actual welding data for each item of the set welding robot parts, and registers the lower limit value and the upper limit value of the registered average value The diagnostic range applied to the average value calculated for the collected actual welding data for each welding robot part item is automatically set for each item of the set welding robot part, And real-time failure diagnosis is performed for each welding robot component with respect to the welding robot component real data.
The control unit compares the actual data of each welding robot part item on the field with each diagnosis range of the set welding robot item, and if the actual data of each welding robot item of the field is compared with the set welding robot item And the failure occurrence information of the welding robot part is alarmed to the pre-registered terminal if the diagnosis range is exceeded.
Preferably, the control unit registers the installation date and the operation time of each component item of the welding robot, and when the current real life cycle value obtained by adding the operation time based on the installation date exceeds the predetermined life criterion value, The life cycle completion information of the welding robot part is automatically displayed or an alarm is made to the pre-registered terminal.
The real-time robot and the welding quality determination device of the kiosk type according to the present invention can be applied to a conventional welding quality determination system, that is, an integrated management system based on a server (specifically, the "integrated management system" The system of the concept that the data is integrated and managed in real time) causes a certain amount of space and low cost in the installation and there is a certain restriction in confirming the welding quality in real time in the field, It is possible to confirm the welding quality directly at the process site, reduce the time required for the process analysis, and analyze the process in real time to reflect the environmental factors of the production site through actual data. . In addition, through this, it is possible to quickly identify the factor that deteriorates the process capability, to quickly measure it, and to have a high process analysis capability.
In addition, the present invention provides real-time data collection by welding robot parts items such as motor shaft load ratio, encoder temperature, speed reducer torque, etc. measured by each welding robot in operation of the industrial welding robot, So that it can be done quickly.
In addition, the present invention manages the installation date and the operating time for each component of the welding robot and manages the service life of each of the individual robots. As a result, the maintenance (inspection and management) and life cycle management of the 'industrial welding robot' A systematic system that diagnoses the status of major parts used in the welding robot system by integrating 'welding robot for industrial use', which is a very important part in ensuring quality (especially automobile body), and performs maintenance (inspection management) It is a realistic situation that does not manage the main part status and life span of welding robots properly, and it is made for general robots to use only for their own robots.
1 is a view showing a configuration of a kiosk type real time robot and a welding quality judging device according to the present invention
2 is a view showing a configuration of a real-time welding quality judging system to which a real-time welding quality judging device of a kiosk type according to the present invention is applied
FIG. 3 is a view sequentially showing the operation of a real-time robot and a welding quality determining apparatus of a kiosk type according to the present invention
FIG. 4 is a view sequentially showing other operations of a real-time robot and a welding quality determining apparatus of a kiosk type according to the present invention
1 is a view showing a configuration of a kiosk type real time robot and a welding quality judging device according to the present invention.
As shown in FIG. 1, the real-time robot and the welding quality determination apparatus of the kiosk type according to the present invention includes a
The
The
The
The user key input unit is user interface means for receiving user setting information. The user key input unit receives the user billing range setting information and the user reference diagnosis range setting information according to the present invention and transfers the information to the
FIG. 2 is a view showing a configuration of a real-time welding quality determining system to which a real-time welding quality determining apparatus of a kiosk type according to the present invention is applied.
As shown in FIG. 2, the real-time welding quality determination system according to the present invention is configured such that a welder T / C or welding robot controller and a kiosk type real-time welding
FIG. 3 is a view showing the operation of a real-time robot and a welding quality determining apparatus of a kiosk type according to the present invention in order.
As shown in FIG. 3, the real-time welding quality determining apparatus of the kiosk type according to the present invention first calculates actual data (for example, welding current, voltage, resistance, and heat amount) And collects the set collection amount (e.g., 1000) (S301).
Next, an average value is calculated for each set welding data item (for example, welding current, voltage, resistance, and heat amount) for the collected actual data (S302).
In addition, the user B / D range setting information is separately received and registered (S303).
At this time, the user billing range setting information includes the lower limit value and the upper limit value information of the average value of the actual data for each set welding data item. For example, the lower limit 10% and the upper limit 15% are included in the average value.
Next, the registered bidding range setting information is applied to the calculated average value, that is, applied to the average value calculated for the actual data collected for the user set quantity, so that the bidding range is automatically set for each set weld data item (S304).
Then, in step S305, the real-time welding quality is determined for the welded room data measured in the field after the automatic setting based on the set coverage range.
Then, the determination result, for example, welding quality acceptance determination information or welding quality failure determination information is provided to the manager.
Meanwhile, the apparatus for determining real-time welding quality of a kiosk type according to the present invention mounts a process analysis module connected to the welding quality determining mechanism according to the present invention and analyzes the process in real time to reflect the environmental factors of the production site To confirm the change of process capability.
That is, the real-time welding quality determining apparatus according to the present invention analyzes the real-time welding quality using real-time welding result information based on the automatically set coin acceptance determination range according to the present invention, .
More specifically, the operation of the real-time welding quality determination apparatus according to the present invention to confirm whether or not the change of the process capability through actual data of the field welding occurs is as follows.
That is, in the case where the real-time welding quality determining apparatus according to the present invention is based on the actual data of the welding site, it confirms the result information determined to be unstable, (For example, an average value, an intermediate value, a standard deviation value, or the like) that is a reference of a predetermined welding data distribution map (for example, a welding current distribution map) for each RB It is confirmed that a change in the process capability occurs when the determined weld defect range deviates by more than a predetermined weld defect range and is out of a predetermined normal stabilization degree.
Therefore, the process analysis is performed in real time, and the change of the process capability is confirmed by reflecting the environmental factors of the production site through the actual data.
On the other hand, the kiosk type real-time welding quality determining apparatus according to the present invention enables the operator to promptly confirm the welding state and take measures by, for example, processing the daily welding information of today's day to the worker.
To this end, for example, the kiosk-type real-time welding quality judging device according to the present invention sets relevant company basic information, today's production quantity, and today's management target (for example, current, voltage defective quantity). Then, based on the set information, the welding defect information based on the welding quality information determined according to the present invention and the welding information detected by the setting reference classifier including at least one of the process, The error status information is automatically alerted to the pre-registered terminal or mail in accordance with the user setting management time information, for example, the preset daily management time unit information.
Thus, the operator can quickly check the welding condition and take action.
At this time, the welding error status information includes at least one of PLC signal missing, TC data missing, matching error status, PLC status, TC status, SPC connection status, sealer connection status, And any one or more of them.
As described above, the kiosk-type real-time robot and the welding quality judging device according to the present invention can be applied to a conventional welding quality judging system, that is, an integrated management system based on a server, And it is possible to solve the problem that it is impossible to feed back the result of the action immediately. Therefore, the field worker can confirm the welding quality directly at the process site, and a lot of Reduce time, and perform process analysis in real time to confirm changes in process capability by reflecting the environmental factors of the production site through actual data. In addition, through this, it is possible to quickly identify the factor that deteriorates the process capability, to quickly measure it, and to have a high process analysis capability.
Fig. 4 is a view showing another operation (i.e., life cycle determination operation) of the kiosk type real time robot and the welding quality determination apparatus according to the present invention in order.
4, the kiosk-type real-time robot and the welding quality determining apparatus according to the present invention determine the life cycle based on the data generated in the robot controller, and the actual determination method is different from the above- 3 of the present invention.
Specifically, it is as follows.
That is, the apparatus for determining the real-time welding quality of a kiosk type according to the present invention is a device for judging real-time welding quality of a kiosk type of welding robot component item of a motor shaft load ratio (torque), an encoder temperature, (S401). The average value of each welding robot component item is calculated for the collected real data (S402), and the user life cycle reference setting information is received and registered S403), the lifetime period range of each welding robot component item is automatically set by applying the registered user-based life cycle range setting information to the calculated average value (S404) The real-life cycle of each welding robot part is determined for the actual welding robot parts actual data measured after the automatic setting (S405).
At this time, the welding quality determination device according to the present invention receives the user life cycle reference setting information including the lower limit value and the upper limit value information of the average value of the respective pieces of actual welding data for each set welding robot component item, registers them, Value and an upper limit value are automatically set for each item of the set welding robot part by applying the calculated value and the upper limit value to the average value calculated for the collected actual welding data for each welding robot part item, The real life cycle of each welding robot part is determined for the actual welding robot parts actual data measured after the automatic setting.
The welding quality judging device according to the present invention compares the actual data of each welding robot part item on the field with the respective life cycle range of each welding robot item set as a result of the comparison, The life cycle completion information of the welding robot component is alarmed to the pre-registered terminal if the life cycle period of the welding robot component is exceeded.
As a result, it improves the productivity of the welding robot by increasing the utilization rate of the welding robot accurately and quickly.
On the other hand, the kiosk type real time robot and the welding quality judgment apparatus according to the present invention perform another operation (that is, a failure diagnosis judgment operation).
Specifically, it is as follows.
That is, the welding quality judging device according to the present invention calculates the actual data of welding robot parts item of the motor shaft load ratio (torque), encoder temperature, and speed reducer load ratio (torque) of each welding spot generated at the welding in the field from the welding robot controller in the field And a controller for receiving and registering the user diagnostic reference setting information and for registering the registered user reference diagnostic range setting information in the user reference diagnostic range setting information, The welding robot component data is automatically set for each weld robot component item on the basis of the calculated average value, and then the diagnostic range is automatically set for each welding robot component item on the basis of the calculated average value, Diagnose the fault.
For example, according to the present invention, the user diagnosis reference setting information is inputted and registered by including the lower limit value and the upper limit value information of each actual data average value for each set welding robot component item, and the lower limit value and the upper limit value Is automatically set for each item of the set welding robot part by applying the calculated diagnosis range to the average value calculated for the collected actual welding data for each welding robot part item, In real time, for each welding robot part.
At this time, the present invention compares each actual data of each welding robot part item on the field with each diagnosis range of each welding robot item set as a result of the comparison, and if the actual data per welding robot item of the field If the diagnosis range is exceeded, the fault occurrence information of the welding robot part is alarmed to the pre-registered terminal.
As a result, when the industrial welding robot operates, the real time data acquisition of the motor shaft load ratio, encoder temperature, decelerator torque, etc. measured by each welding robot can be informed to the user So that fault diagnosis, maintenance, and preventive maintenance can be performed quickly.
The present invention is characterized in that when the installation date and the operation time of each part of the welding robot are registered and the current room life cycle value obtained by adding the operation time on the basis of the installation date exceeds the preset life reference value, The life cycle completion information of the welding robot part is automatically displayed or alarmed to the pre-registered terminal.
Thus, by managing the installation date and the operation time of each component of the welding robot, the service life of each component is managed for each individual robot.
As a result, the maintenance (inspection and management) and life cycle management of the 'industrial welding robot' are integrated with 'industrial welding robot' for securing the welding quality It is a realistic situation that there is no systematic system that performs maintenance (inspection management) and life management by diagnosing the condition of parts in real time and it is made to be used only for the robot itself by a specific robot company And it is solved that it is used as a general purpose.
Then, the kiosk type real time robot and the welding quality determining apparatus according to the present invention also perform the following other operations (i.e., the welding position real time checking operation and the welding tracking checking operation) respectively.
That is, the welding quality determining apparatus according to the present invention receives the actual data of each welding spot generated at the welding in the field from the welding machine T / C device, inputs the process signal from the welding-related PLC, (Including process and series-based 2D and 3D design drawings) and the welding position by the process and sequence by the process and series, and display it on the registered drawing to match the welding position Real-time confirmation processing. In addition, the actual data of each welding spot generated at the time of welding at the site is received from the welding machine T / C device, and the welding information is registered and managed by the product number, and a system search including at least one of product number, specification, When the condition information is inputted, the database is searched and the corresponding welding trace result information is extracted and provided, and the welding trace confirmation process is performed to perform the welding position real-time confirmation operation and the welding trace confirmation operation.
Description of the Related Art [0002]
100: Kiosk type real time welding quality judgment device
101: communication networking unit 102: control unit
103: Display unit 104: Database (D / B)
Claims (14)
A control unit for receiving the welding room data generated in the field from the welding machine T / C unit through the communication networking unit and determining a real time welding quality; And
A display unit for displaying the real-time welding quality information determined by the control unit;
Lt; / RTI >
The control unit collects actual data of each welding spot generated at the time of welding in the field by a user set collection quantity, calculates an average value for each set welding data item for the collected real data, And automatically setting the registered price range according to the set welding data item by applying the registered user price range setting information to the calculated average value, Determining real-time weld quality for the data;
And a welding quality judging device.
The control unit
And the upper limit value and the upper limit value of the registered average value are calculated for the collected real data, and the lower limit value and the upper limit value of the registered average value are calculated And a real-time welding quality is determined for the welded room data measured on the spot after the automatic setting based on the set coinage range. Type real time robot and a welding quality judging device.
The control unit
The welding error status information detected by the setting reference classification factor including at least one of the welding data defect information based on the determined welding quality information and the process, or at least one of the equipment and the specification, corresponds to the user setting management time information And the automatic alarm is automatically made by a terminal or a mail registered in advance.
The welding error status information
At least one of PLC (Programmable Logic Controller) signal missing, TC data missing, matching error status, PLC status, TC status, SPC connection status, sealer connection status, And a welding quality determining device for determining a welding quality of the real-time robot.
Wherein,
Based on the result information on the basis of the automatically set coin acceptance determination range, confirms whether or not a change in the process capability occurs through actual data of the field welding,
The control unit confirms whether or not the change of the process capability through the actual data of the field welding occurs,
And if the result information determined as the result of the verification is welding defect determination information, determining the welding defect range as a reference of the predetermined welding data distribution map for each of the RBs based on the actual data And determines that a change in the process capability occurs when the determined weld defect range deviates by more than a predetermined welding defect range and is out of a predetermined normal stabilization degree that;
And a welding quality judging device.
The control unit
The actual data of each welding spot generated at the welding in the field from the welding machine T / C device is received, the process signal is input from the PLC (Programmable Logic Controller) related to the welding, So that the welding position is confirmed in real time;
And a welding quality judging device.
The control unit
The actual welding data of each welding spot generated at the welding in the field from the welding machine T / C device is inputted, and the welding information is registered and managed by the product number, and the search condition information including at least one of product number, specification, Provide the welding tracking result information, if any, to process the weld tracking confirmation;
And a welding quality judging device.
The control unit
The actual welding data for each welding robot part item of the motor shaft load ratio (torque), the encoder temperature, and the speed reducer load ratio (torque) of each welding point generated at the spot welding from the welding robot controller in the field is collected as the user set collection quantity, Calculating average values for each welding robot component item with respect to real data, inputting and registering user life cycle standard setting information, applying the registered user standard life cycle range setting information to the calculated average value, Determining a real-time life cycle period for each welding robot part with respect to the welding robot component real data of the field measured after the automatic setting based on the set life cycle period range, by automatically setting each life cycle range for each welding robot component item;
And a welding quality judging device.
The control unit
The user life cycle reference setting information including the lower limit value and the upper limit value information of the average values of the respective pieces of actual welding data for each set welding robot component item and registers the lower limit value and the upper limit value of the registered average value, A life cycle period range obtained by applying the calculated average value to actual data for each component item is automatically set for each of the set welding robot component items, and a welding robot component in the field measured after the automatic setting based on the set life cycle range Determining a real-time life cycle for each welding robot part with respect to real data;
And a welding quality judging device.
The control unit
Comparing the actual data of each welding robot part item on the field with the respective life cycle range of each welding robot item by the set welding robots and comparing the actual data of each welding robot item of the field with the respective life cycle ranges , Alarming the life cycle completion information of the welding robot component to the pre-registered terminal;
And a welding quality judging device.
The control unit
The actual welding data for each welding robot part item of the motor shaft load ratio (torque), the encoder temperature, and the speed reducer load ratio (torque) of each welding point generated at the spot welding from the welding robot controller in the field is collected as the user set collection quantity, The average value is calculated for each weld robot component item with respect to the actual data, the user diagnostic reference setting information is received and registered, and the registered user reference diagnostic range setting information is applied to the calculated average value, Automatically diagnosing each component item and diagnosing real-time failure of each welding robot part with respect to the welding robot component real data of the field measured after the automatic setting based on the set diagnostic range;
And a welding quality judging device.
The control unit
Diagnosis reference setting information including the lower limit value and the upper limit value information of the average value of the respective pieces of actual welding data for each set welding robot component item and registers the lower limit value and the upper limit value of the registered average value in the collected welding robot component The diagnostic range applied to the calculated average value for the actual data for each item is automatically set for each of the set welding robot component items, and the welding robot component room data of the field measured after the automatic setting based on the set diagnosis range To perform real-time fault diagnosis for each welding robot part;
And a welding quality judging device.
The control unit
Comparing the actual data of each of the welding robot parts on the field with the diagnostic range of each of the set welding robots and comparing the actual data of each of the welding robots of the field with each diagnostic range of the set welding robots Alarming the fault occurrence information of the welding robot part to the pre-registered terminal when the fault has occurred;
And a welding quality judging device.
The control unit
Wherein when the current actual life cycle value obtained by adding the operation time on the basis of the installation date exceeds a preset life reference value, the service life of the welding robot component Automatically displaying the cycle completion information or alarming the pre-registered terminal;
And a welding quality judging device.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
KR1020160033071A KR101863047B1 (en) | 2016-03-18 | 2016-03-18 | Apparatus for discriminating quality of welding real time typed in kiosk |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
KR1020160033071A KR101863047B1 (en) | 2016-03-18 | 2016-03-18 | Apparatus for discriminating quality of welding real time typed in kiosk |
Publications (2)
Publication Number | Publication Date |
---|---|
KR20170108728A true KR20170108728A (en) | 2017-09-27 |
KR101863047B1 KR101863047B1 (en) | 2018-07-13 |
Family
ID=60036095
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
KR1020160033071A KR101863047B1 (en) | 2016-03-18 | 2016-03-18 | Apparatus for discriminating quality of welding real time typed in kiosk |
Country Status (1)
Country | Link |
---|---|
KR (1) | KR101863047B1 (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109202339A (en) * | 2018-11-30 | 2019-01-15 | 常州伟泰科技股份有限公司 | A kind of method at intelligent management welding procedure scene |
CN109759750A (en) * | 2018-11-30 | 2019-05-17 | 常州伟泰科技股份有限公司 | A kind of site welding inspection of construction and the method remotely monitored |
Family Cites Families (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20020051209A (en) * | 2000-12-22 | 2002-06-28 | 신현준 | A method of estimating welding quality in flash butt welding process |
KR20030083650A (en) * | 2003-10-01 | 2003-10-30 | 이광원 | Monitoring system for resistance welding |
JP2006281421A (en) * | 2005-04-05 | 2006-10-19 | Yaskawa Electric Corp | Robot and abnormality detection method of robot |
KR100760655B1 (en) * | 2007-07-09 | 2007-09-20 | 강성관 | Welding quality monitoring method and welding quality monitoring apparatus |
JP5289608B2 (en) * | 2011-12-13 | 2013-09-11 | ファナック株式会社 | Robot reducer life estimation simulation device |
KR101275097B1 (en) * | 2012-03-07 | 2013-06-17 | 김재은 | Inspect apparatus and method system of on-line non destructive testing for spot welding |
KR101542471B1 (en) * | 2014-07-29 | 2015-08-06 | 주식회사휴비스 | Welding monitoring devise |
KR101642807B1 (en) * | 2014-08-14 | 2016-07-27 | 김재은 | Method for quality judgment to spot welding |
-
2016
- 2016-03-18 KR KR1020160033071A patent/KR101863047B1/en active IP Right Grant
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109202339A (en) * | 2018-11-30 | 2019-01-15 | 常州伟泰科技股份有限公司 | A kind of method at intelligent management welding procedure scene |
CN109759750A (en) * | 2018-11-30 | 2019-05-17 | 常州伟泰科技股份有限公司 | A kind of site welding inspection of construction and the method remotely monitored |
CN109759750B (en) * | 2018-11-30 | 2020-08-11 | 常州伟泰科技股份有限公司 | Method for on-site welding construction inspection and remote monitoring |
Also Published As
Publication number | Publication date |
---|---|
KR101863047B1 (en) | 2018-07-13 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN109001649B (en) | Intelligent power supply diagnosis system and protection method | |
KR101822018B1 (en) | Server for discriminating quality of welding integratingly and method for discriminating quality of welding integratingly thereof | |
US9015173B2 (en) | Spot weld data management and monitoring system | |
KR102213712B1 (en) | System for Monitoring Realtime Welding on Smart Factory | |
JP2003280707A (en) | Abnormality diagnosis device, abnormality diagnosis method and abnormality diagnosis program of machine tool | |
JP2002544680A (en) | Semiconductor processing technology | |
WO2006132174A1 (en) | Sharing traceability management system | |
KR20170130823A (en) | In order to small, medium size enterprise, Visible prognostics system for the machinery out of order and quality failure on the advanced factory automatic based on the embeded I.O.T technology | |
KR20080070543A (en) | Early warning method for estimating inferiority in automatic production line | |
CN111522329A (en) | Industrial robot fault diagnosis method | |
KR101863047B1 (en) | Apparatus for discriminating quality of welding real time typed in kiosk | |
KR20130107807A (en) | Device and method for controling tools | |
Sousa et al. | Enhancing the steel tube manufacturing process with a zero defects approach | |
US20220155775A1 (en) | Method and device for planning maintenance on at least one machine | |
JP2012020336A (en) | System for unitary control and inspection in spot welding | |
KR20170098374A (en) | Remote real monitoring and prediction system of auto-machine tool | |
CN115169876A (en) | Closed-loop management method for magnetic component production line, computer equipment and storage medium | |
KR20200001304A (en) | Production facility management system using sensor gateway device and monitoring method of this system | |
KR20180081257A (en) | Smart welding process system for automobile parts production | |
KR102409863B1 (en) | Method, server and program for providing robot prevention and prediction measure service | |
KR101880555B1 (en) | Fool proof system for factory automation line and method of operating thereof | |
KR20180083990A (en) | Integrated management system for multiple machine tools | |
US20110015887A1 (en) | Method for manufacturing and testing the functionality in manufacturing | |
KR20210069896A (en) | Machine learning based welding quality management system to find and set the optimum current voltage and welding quality management method | |
KR101787509B1 (en) | Web and mobile-based automated process improvement monitoring system |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
A201 | Request for examination | ||
E902 | Notification of reason for refusal | ||
E902 | Notification of reason for refusal | ||
N231 | Notification of change of applicant | ||
E701 | Decision to grant or registration of patent right | ||
GRNT | Written decision to grant |