CN109062159B - Unmanned monitoring system for television assembly line - Google Patents
Unmanned monitoring system for television assembly line Download PDFInfo
- Publication number
- CN109062159B CN109062159B CN201810905069.7A CN201810905069A CN109062159B CN 109062159 B CN109062159 B CN 109062159B CN 201810905069 A CN201810905069 A CN 201810905069A CN 109062159 B CN109062159 B CN 109062159B
- Authority
- CN
- China
- Prior art keywords
- magnetic field
- detection structure
- production line
- field gradient
- spiral
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 41
- 238000001514 detection method Methods 0.000 claims abstract description 83
- 238000004519 manufacturing process Methods 0.000 claims abstract description 49
- 239000003990 capacitor Substances 0.000 claims abstract description 22
- 238000003466 welding Methods 0.000 claims abstract description 13
- 230000035945 sensitivity Effects 0.000 claims abstract description 8
- 239000000523 sample Substances 0.000 claims description 30
- 238000000354 decomposition reaction Methods 0.000 claims description 12
- 238000004364 calculation method Methods 0.000 claims description 6
- 239000011159 matrix material Substances 0.000 claims description 6
- 238000000034 method Methods 0.000 abstract description 7
- 230000008569 process Effects 0.000 abstract description 5
- 238000012423 maintenance Methods 0.000 abstract description 3
- 238000012360 testing method Methods 0.000 abstract description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000005070 sampling Methods 0.000 description 3
- 238000011160 research Methods 0.000 description 2
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 239000003638 chemical reducing agent Substances 0.000 description 1
- 230000001276 controlling effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000004321 preservation Methods 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
Images
Classifications
-
- 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]
- G05B19/4183—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 data acquisition, e.g. workpiece identification
-
- 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
-
- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05K—PRINTED CIRCUITS; CASINGS OR CONSTRUCTIONAL DETAILS OF ELECTRIC APPARATUS; MANUFACTURE OF ASSEMBLAGES OF ELECTRICAL COMPONENTS
- H05K13/00—Apparatus or processes specially adapted for manufacturing or adjusting assemblages of electric components
- H05K13/08—Monitoring manufacture of assemblages
Landscapes
- Engineering & Computer Science (AREA)
- Manufacturing & Machinery (AREA)
- General Engineering & Computer Science (AREA)
- Quality & Reliability (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Operations Research (AREA)
- Microelectronics & Electronic Packaging (AREA)
- Investigating Or Analyzing Materials By The Use Of Magnetic Means (AREA)
Abstract
In order to detect whether the range of stray capacitance is normal or not in the assembling process of an industrial robot of a television with a plurality of capacitors, the invention provides an unmanned monitoring system for television assembling lines, wherein a magnetic field gradient low-frequency signal component set and a magnetic field gradient high-frequency signal component set of a magnetic field sensor are obtained by a plurality of monitoring units to carry out qualitative judgment, whether the size of the stray capacitance formed by related welding points which just finish capacitance welding exceeds a preset standard or not can be quickly and qualitatively detected on a production line through lower cost, and the average accuracy reaches 77.9% through 500 times of tests. In addition, the qualitative judgment type system does not need to have extra requirements on the precision and the sensitivity of the magnetic field sensors, does not need to have special requirements on the batches of the magnetic field sensors, and can facilitate the maintenance and the replacement of the magnetic field sensors in the detection process on the premise of not influencing the detection result.
Description
Technical Field
The invention relates to the technical field of fault detection, in particular to an unmanned monitoring system for a television assembly line.
Background
Industrial robots are multi-joint manipulators or multi-degree-of-freedom machine devices oriented to the industrial field, can automatically execute work, and are machines which realize various functions by means of self power and control capacity. The robot can accept human command and operate according to a preset program, and modern industrial robots can also perform actions according to a principle formulated by artificial intelligence technology.
With the development of science and technology in China, more advanced industrial robots are gradually appeared, and although the preservation amount of industrial robots in China reaches 25% of the world, and more achievements are also appeared in the aspect of research and test of the industrial robot technology, some parts of the existing industrial robot need to be introduced into technical equipment of foreign enterprises, such as a real-time control system, a high-precision servo motor, a speed reducer and the like. Therefore, China still needs to invest a great deal of energy in the technical research of industrial robots. Some industrial robots have the functions of fault diagnosis and original program monitoring, and no additional network equipment is needed to support a remote service system. The system can use the original ip wired network to remotely communicate with the robot on the client site to remotely diagnose the fault, and can also help the fault maintenance technician to diagnose and process the site fault.
For an industrial robot for assembling (more precisely, the assembling in the present invention refers to welding) electronic devices such as a television set having a plurality of capacitors with different types and capacities, such as a television set, the capacitance of the industrial robot is very important in terms of stability after welding, and particularly, the stability may be potentially dangerous due to stray capacitance caused by welding points. In the prior art, chinese patent application No. CN200710034549.2 discloses a PWM current measuring method, in which an initial PWM signal is applied to an input pin of an output driver chip, and an output pin of the driver output chip outputs a large-current PWM signal for control; the PWM current flowing out of the output driving chip flows through a sampling resistor arranged in the controller and then flows into an electromagnetic proportional valve outside the controller for controlling an actual controlled object, and the PWM current is directly grounded after passing through the electromagnetic proportional valve; when the PWM current flows through the sampling resistor in the controller, a small voltage which is in direct proportion to the PWM current is generated at two ends of the sampling resistor, the small voltage is introduced into an operational amplifier, after the small voltage is amplified by the operational amplifier, a fluctuating voltage signal is regulated into a stable voltage signal which is basically in direct proportion to the PWM output current through a filter resistor and a filter capacitor which are sequentially connected, and the voltage signal is used for participating in computer control. However, this method cannot satisfy the requirement for detecting whether a failure occurs when the industrial robot mounts the capacitor on the assembly line.
Disclosure of Invention
In order to detect whether the range of stray capacitance is normal or not in the assembling process of an industrial robot of a television with a plurality of capacitors, the invention provides an unmanned monitoring system for television assembly lines, which comprises:
the system comprises a first monitoring unit, a second monitoring unit and a third monitoring unit, wherein the first monitoring unit is used for carrying out magnetic field gradient detection on a television which is assembled with at least a part of capacitors on an industrial robot production line in a first mode to obtain a magnetic field gradient low-frequency signal component set L1 and a magnetic field gradient high-frequency signal component set H1;
a second monitoring unit, configured to perform magnetic field gradient detection on the television set on which the capacitor is assembled on the industrial robot production line in a second manner at a position on the industrial robot production line after the position detected in the first manner, so as to obtain a magnetic field gradient low-frequency signal component set L2 and a magnetic field gradient high-frequency signal component set H2;
a third monitoring unit, configured to perform magnetic field gradient detection on the television set on which the capacitor is assembled on the industrial robot production line in a third manner at a position on the industrial robot production line after the position detected in the second manner, so as to obtain a magnetic field gradient low-frequency signal component set L3 and a magnetic field gradient high-frequency signal component set H3;
and the fourth monitoring unit is used for determining whether the state of the assembly capacitor of the industrial robot is normal or not based on the magnetic field gradient low-frequency signal component sets L1, L2 and L3 and the magnetic field gradient high-frequency signals H1, H2 and H3.
Further, the first monitoring unit includes:
the first spiral detection structure forming unit is used for arranging N1 first magnetic field sensors around a production line in a three-dimensional spiral mode with the extension direction of the production line where the circuit board to be detected is located as the axial direction and the thread pitch D1 and the cross section radius R1 as parameters so as to form a first spiral detection structure, wherein N1 is a natural number greater than 5;
the first connecting unit is used for arranging an industrial robot holding electric signal input probe and an electric signal output probe before the circuit board to be detected contacts the cross section of the first spiral detection structure, and connecting a first signal input interface and a first signal output interface of a sub circuit where a capacitor of the circuit board to be detected is located;
a first detection unit for inputting Vi1 to the electric signal input probe and recording a set Vo1 of output signals detected by the electric signal output probe;
and the first decomposition unit is used for detecting the signals of the N1 first magnetic field sensors during the circuit board to be detected passes through the first spiral detection structure and decomposing to obtain a magnetic field gradient low-frequency signal component set L1 and a magnetic field gradient high-frequency signal component set H1.
Further, the second monitoring unit includes:
the second spiral detection structure forming unit is used for arranging N2 second magnetic field sensors around a production line by taking the extending direction of the production line where the circuit board to be detected is located as an axial direction and taking a thread pitch D2 and a cross section radius R2 as parameters in a three-dimensional spiral manner, so that a second spiral detection structure is formed, the sensitivity of the second magnetic field sensors is higher than that of the first magnetic field sensors, N2 is more than N1, D2 is less than D1, R2 is less than R1, the second spiral detection structure is adjacent to the first spiral detection structure in the moving direction along the production line, the distance between the second spiral detection structure and the first spiral detection structure is less than 5cm, and N2 is a natural number more than 10;
a second detection unit for stopping the input of the probe input signal set to the electric signal of the industrial robot before the circuit board to be detected contacts the cross section of the second spiral detection structure, and recording the output signal set Vo2 detected by the electric signal output probe during the circuit board to be detected passes through the second spiral detection structure;
and the second decomposition unit is used for detecting the signals of the N2 second magnetic field sensors during the circuit board to be detected passes through the second spiral detection structure and decomposing to obtain a magnetic field gradient low-frequency signal component set L2 and a magnetic field gradient high-frequency signal component set H2.
Further, the third monitoring unit includes:
a third and a fourth spiral detection structure forming unit, configured to set N2 third magnetic field sensors around a production line in a three-dimensional spiral manner with a pitch D2 and a cross-sectional radius R2 as parameters, so as to form a third spiral detection structure, set N1 fourth magnetic field sensors around the production line in a three-dimensional spiral manner with a pitch D1 and a cross-sectional radius R1 as parameters, so as to form a fourth spiral detection structure, where the extension direction of the production line is an axial direction, and the pitch D3578 and the cross-sectional radius R2 are parameters, and the fourth magnetic field sensors have higher sensitivity than the third magnetic field sensors, and an initial position of a first pitch of the fourth spiral detection structure is the same as an initial position of a first pitch of the third spiral detection structure in a moving direction of the circuit to be detected, the third spiral detection structure extends in the production line direction for the same length as the fourth spiral detection structure extends in the production line direction, and N2> N1, D2 ═ D1, R2< R1;
the second connecting unit is used for arranging an industrial robot holding electric signal input probe and an electric signal output probe before the circuit board to be detected contacts the cross section of the third spiral detection structure, and connecting a first signal input interface and a first signal output interface of a sub circuit where the capacitor of the circuit board to be detected is located;
a third detecting unit for inputting Vi1 to the electric signal input probe and recording the output signal set Vo3 detected by the electric signal output probe;
and the third decomposing unit is used for detecting the signal sets S3 output by the N2 third magnetic field sensors and the signal sets S4 output by the N1 fourth magnetic field sensors during the circuit board to be detected passes through the first spiral detection structure, and obtaining a magnetic field gradient low-frequency signal component set L3 and a magnetic field gradient high-frequency signal component set H3 according to S3 and S4.
Further, the third decomposition unit includes:
an accumulated signal set calculation unit for calculating an accumulated signal set S1 of signals output from the N2 third magnetic field sensors and the N1 fourth magnetic field sensors, where i is 1, 2, …, N1:
and the fourth decomposition unit is used for decomposing the accumulated signal set S1 to obtain a magnetic field gradient low-frequency signal component set L3 and a magnetic field gradient high-frequency signal component set H3.
Further, the fourth monitoring unit includes:
a matrix calculation unit for calculating, for each element of the sets L1, L2, L3, H1, H2, H3, Vi1, Vo1, Vo2 and Vo3, a eigenvalue Ei of a matrix M where i ═ 1, 2, …, (N1) -3,a voltage effective value representing the electrical signal;
a variance and mean value calculating unit, which is used for forming a sequence by the characteristic values Ei, wherein the variance of the sequence is, and the sequence is calculated to obtain a mean value A1 after the maximum value of the sequence is removed, and then is calculated to obtain a mean value A2 after the minimum value of the sequence is removed;
and the qualitative determination unit is used for calculating whether A1/A2 is larger than a preset threshold value or not, and if so, the value indicates that the stray capacitance formed by the welding spot caused by the welding capacitance exceeds the preset value when the industrial robot is assembled on the production line.
Further, the first magnetic field sensor, the second magnetic field sensor, the third magnetic field sensor and the fourth magnetic field sensor are all high-sensitivity magnetometers and do not require that the batches and models are completely consistent.
The invention has the beneficial effects that: whether the size of the stray capacitance formed by the related welding points which just finish the capacitance welding exceeds the preset standard or not can be quickly and constantly detected on a production line by lower cost, and the average accuracy reaches 77.9 percent after 500 times of tests. In addition, the qualitative judgment type system does not need to have extra requirements on the precision and the sensitivity of the magnetic field sensors, does not need to have special requirements on batches of the magnetic field sensors, and can facilitate the maintenance and the replacement of the magnetic field sensors in the detection process on the premise of not influencing the detection result.
Drawings
FIG. 1 shows a block diagram of the components of the system of the present invention.
Detailed Description
As shown in fig. 1, according to a preferred embodiment of the present invention, there is provided a television set assembly line unmanned monitoring system, including:
the system comprises a first monitoring unit, a second monitoring unit and a third monitoring unit, wherein the first monitoring unit is used for carrying out magnetic field gradient detection on a television which is assembled with at least a part of capacitors on an industrial robot production line in a first mode to obtain a magnetic field gradient low-frequency signal component set L1 and a magnetic field gradient high-frequency signal component set H1;
a second monitoring unit, configured to perform magnetic field gradient detection on the television set on which the capacitor is assembled on the industrial robot production line in a second manner at a position on the industrial robot production line after the position detected in the first manner, so as to obtain a magnetic field gradient low-frequency signal component set L2 and a magnetic field gradient high-frequency signal component set H2;
a third monitoring unit, configured to perform magnetic field gradient detection on the television set on which the capacitor is assembled on the industrial robot production line in a third manner at a position on the industrial robot production line after the position detected in the second manner, so as to obtain a magnetic field gradient low-frequency signal component set L3 and a magnetic field gradient high-frequency signal component set H3;
and the fourth monitoring unit is used for determining whether the state of the assembly capacitor of the industrial robot is normal or not based on the magnetic field gradient low-frequency signal component sets L1, L2 and L3 and the magnetic field gradient high-frequency signals H1, H2 and H3.
Preferably, the first monitoring unit includes:
the first spiral detection structure forming unit is used for arranging N1 first magnetic field sensors around a production line in a three-dimensional spiral mode with the extension direction of the production line where the circuit board to be detected is located as the axial direction and the thread pitch D1 and the cross section radius R1 as parameters so as to form a first spiral detection structure, wherein N1 is a natural number greater than 5;
the first connecting unit is used for arranging an industrial robot holding electric signal input probe and an electric signal output probe before the circuit board to be detected contacts the cross section of the first spiral detection structure, and connecting a first signal input interface and a first signal output interface of a sub circuit where a capacitor of the circuit board to be detected is located;
a first detection unit for inputting Vi1 to the electric signal input probe and recording a set Vo1 of output signals detected by the electric signal output probe;
and the first decomposition unit is used for detecting the signals of the N1 first magnetic field sensors during the circuit board to be detected passes through the first spiral detection structure and decomposing to obtain a magnetic field gradient low-frequency signal component set L1 and a magnetic field gradient high-frequency signal component set H1.
Preferably, the second monitoring unit includes:
the second spiral detection structure forming unit is used for arranging N2 second magnetic field sensors around a production line by taking the extending direction of the production line where the circuit board to be detected is located as an axial direction and taking a thread pitch D2 and a cross section radius R2 as parameters in a three-dimensional spiral manner, so that a second spiral detection structure is formed, the sensitivity of the second magnetic field sensors is higher than that of the first magnetic field sensors, N2 is more than N1, D2 is less than D1, R2 is less than R1, the second spiral detection structure is adjacent to the first spiral detection structure in the moving direction along the production line, the distance between the second spiral detection structure and the first spiral detection structure is less than 5cm, and N2 is a natural number more than 10;
a second detection unit for stopping the input of the probe input signal set to the electric signal of the industrial robot before the circuit board to be detected contacts the cross section of the second spiral detection structure, and recording the output signal set Vo2 detected by the electric signal output probe during the circuit board to be detected passes through the second spiral detection structure;
and the second decomposition unit is used for detecting the signals of the N2 second magnetic field sensors during the circuit board to be detected passes through the second spiral detection structure and decomposing to obtain a magnetic field gradient low-frequency signal component set L2 and a magnetic field gradient high-frequency signal component set H2.
Preferably, the third monitoring unit includes:
a third and a fourth spiral detection structure forming unit, configured to set N2 third magnetic field sensors around a production line in a three-dimensional spiral manner with a pitch D2 and a cross-sectional radius R2 as parameters, so as to form a third spiral detection structure, set N1 fourth magnetic field sensors around the production line in a three-dimensional spiral manner with a pitch D1 and a cross-sectional radius R1 as parameters, so as to form a fourth spiral detection structure, where the extension direction of the production line is an axial direction, and the pitch D3578 and the cross-sectional radius R2 are parameters, and the fourth magnetic field sensors have higher sensitivity than the third magnetic field sensors, and an initial position of a first pitch of the fourth spiral detection structure is the same as an initial position of a first pitch of the third spiral detection structure in a moving direction of the circuit to be detected, the third spiral detection structure extends in the production line direction for the same length as the fourth spiral detection structure extends in the production line direction, and N2> N1, D2 ═ D1, R2< R1;
the second connecting unit is used for arranging an industrial robot holding electric signal input probe and an electric signal output probe before the circuit board to be detected contacts the cross section of the third spiral detection structure, and connecting a first signal input interface and a first signal output interface of a sub circuit where the capacitor of the circuit board to be detected is located;
a third detecting unit for inputting Vi1 to the electric signal input probe and recording the output signal set Vo3 detected by the electric signal output probe;
and the third decomposing unit is used for detecting the signal sets S3 output by the N2 third magnetic field sensors and the signal sets S4 output by the N1 fourth magnetic field sensors during the circuit board to be detected passes through the first spiral detection structure, and obtaining a magnetic field gradient low-frequency signal component set L3 and a magnetic field gradient high-frequency signal component set H3 according to S3 and S4.
Preferably, the third decomposition unit comprises:
an accumulated signal set calculation unit for calculating an accumulated signal set S1 of signals output from the N2 third magnetic field sensors and the N1 fourth magnetic field sensors, where i is 1, 2, …, N1:
and the fourth decomposition unit is used for decomposing the accumulated signal set S1 to obtain a magnetic field gradient low-frequency signal component set L3 and a magnetic field gradient high-frequency signal component set H3.
Preferably, the fourth monitoring unit includes:
a matrix calculation unit for calculating, for each element of the sets L1, L2, L3, H1, H2, H3, Vi1, Vo1, Vo2 and Vo3, a eigenvalue Ei of a matrix M where i ═ 1, 2, …, (N1) -3,a voltage effective value representing the electrical signal;
a variance and mean value calculating unit, which is used for forming a sequence by the characteristic values Ei, wherein the variance of the sequence is, and the sequence is calculated to obtain a mean value A1 after the maximum value of the sequence is removed, and then is calculated to obtain a mean value A2 after the minimum value of the sequence is removed;
and the qualitative determination unit is used for calculating whether A1/A2 is larger than a preset threshold value or not, and if so, the value indicates that the stray capacitance formed by the welding spot caused by the welding capacitance exceeds the preset value when the industrial robot is assembled on the production line.
Preferably, the first magnetic field sensor, the second magnetic field sensor, the third magnetic field sensor and the fourth magnetic field sensor are all high-sensitivity magnetometers and do not require lot and model uniformity.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes be made by those skilled in the art without departing from the spirit and technical spirit of the present invention, and the scope of the present invention is defined by the appended claims.
Claims (1)
1. An unattended monitoring system for television assembly lines, comprising:
the system comprises a first monitoring unit, a second monitoring unit and a third monitoring unit, wherein the first monitoring unit is used for carrying out magnetic field gradient detection on a television with at least a part of capacitors assembled on an industrial robot production line in a first mode to obtain a magnetic field gradient low-frequency signal component set L1 and a magnetic field gradient high-frequency signal component set H1;
a second monitoring unit, which is used for detecting the magnetic field gradient of the television set assembled with the capacitor on the industrial robot production line in a second mode relative to the position after the position detected in the first mode on the industrial robot production line, and obtaining a magnetic field gradient low-frequency signal component set L2 and a magnetic field gradient high-frequency signal component set H2;
a third monitoring unit, configured to perform magnetic field gradient detection on the television set on which the capacitor is assembled on the industrial robot production line in a third manner, at a position on the industrial robot production line after the position detected in the second manner, so as to obtain a magnetic field gradient low-frequency signal component set L3 and a magnetic field gradient high-frequency signal component set H3;
a fourth monitoring unit, for determining whether the state of the assembly capacitance of the industrial robot is normal based on the magnetic field gradient low-frequency signal component sets L1, L2 and L3 and the magnetic field gradient high-frequency signals H1, H2 and H3;
characterized in that the first monitoring unit comprises:
the first spiral detection structure forming unit is used for arranging N1 first magnetic field sensors around a production line in a three-dimensional spiral mode with the extension direction of the production line where a circuit board to be detected is located as the axial direction and with a thread pitch D1 and a cross section radius R1 as parameters so as to form a first spiral detection structure, wherein N1 is a natural number greater than 5;
the first connecting unit is used for arranging an industrial robot holding electric signal input probe and an electric signal output probe before the circuit board to be detected contacts the cross section of the first spiral detection structure, and connecting a first signal input interface and a first signal output interface of a sub circuit where a capacitor of the circuit board to be detected is located;
a first detecting unit for inputting Vi1 to the electric signal input probe and recording the output signal set Vo1 detected by the electric signal output probe;
a first decomposition unit, configured to detect signals of the N1 first magnetic field sensors during the circuit board to be detected passes through the first spiral detection structure, and decompose the signals to obtain a magnetic field gradient low-frequency signal component set L1 and a magnetic field gradient high-frequency signal component set H1;
the second monitoring unit includes:
the second spiral detection structure forming unit is used for arranging N2 second magnetic field sensors around a production line by taking the extending direction of the production line where the circuit board to be detected is located as an axial direction and taking a screw pitch D2 and a cross section radius R2 as parameters in a three-dimensional spiral mode, so that a second spiral detection structure is formed, the sensitivity of the second magnetic field sensors is higher than that of the first magnetic field sensors, N2> N1, D2< D1, R2< R1, the second spiral detection structure is adjacent to the first spiral detection structure in the moving direction of the production line, the distance between the second spiral detection structure and the first spiral detection structure is less than 5cm, and N2 is a natural number greater than 10;
a second detection unit for stopping the input of the probe input signal set to the electric signal of the industrial robot before the circuit board to be detected contacts the cross section of the second spiral detection structure, and recording the output signal set Vo2 detected by the electric signal output probe during the circuit board to be detected passes through the second spiral detection structure;
a second decomposition unit, configured to detect signals of the N2 second magnetic field sensors during the circuit board to be detected passes through the second spiral detection structure, and decompose the signals to obtain a magnetic field gradient low-frequency signal component set L2 and a magnetic field gradient high-frequency signal component set H2;
the third monitoring unit includes:
a third and a fourth spiral detection structure forming unit, configured to set N2 third magnetic field sensors around a production line in a three-dimensional spiral manner with a pitch D2 and a cross-sectional radius R2 as parameters, so as to form a third spiral detection structure, set N1 fourth magnetic field sensors around the production line in a three-dimensional spiral manner with a pitch D1 and a cross-sectional radius R1 as parameters, so as to form a fourth spiral detection structure, where the fourth magnetic field sensor has a higher sensitivity than the third magnetic field sensors, a starting position of a first pitch of the fourth spiral detection structure in a moving direction of the circuit to be detected is the same as a starting position of the first pitch of the third spiral detection structure, and a length of the third spiral detection structure extending in the production line direction is the same as a length of the fourth spiral detection structure in production line The lengths extending in the linear direction are the same, and N2> N1, D2 ═ D1, R2< R1;
the second connecting unit is used for arranging an industrial robot holding electric signal input probe and an electric signal output probe before the circuit board to be detected contacts the cross section of the third spiral detection structure, and connecting a first signal input interface and a first signal output interface of a sub circuit where the capacitor of the circuit board to be detected is located;
a third detecting unit for inputting Vi1 to the electric signal input probe and recording the output signal set Vo3 detected by the electric signal output probe;
a third decomposing unit, configured to detect the signal sets S3 output by the N2 third magnetic field sensors and the signal set S4 output by the N1 fourth magnetic field sensors during the circuit board to be detected passes through the first spiral detecting structure, and obtain a magnetic field gradient low-frequency signal component set L3 and a magnetic field gradient high-frequency signal component set H3 according to S3 and S4;
the third decomposition unit includes:
an accumulated signal set calculation unit for calculating an accumulated signal set S1 of signals output from the N2 third magnetic field sensors and the N1 fourth magnetic field sensors, where i is 1, 2, …, N1:
the fourth decomposition unit is used for decomposing the accumulated signal set S1 to obtain a magnetic field gradient low-frequency signal component set L3 and a magnetic field gradient high-frequency signal component set H3;
the fourth monitoring unit includes:
a matrix calculation unit for calculating, for each element of the sets L1, L2, L3, H1, H2, H3, Vi1, Vo1, Vo2 and Vo3, a eigenvalue Ei of a matrix M where i ═ 1, 2, …, (N1) -3,a voltage effective value representing the electrical signal;
a variance and mean value calculating unit, which is used for forming a sequence by the characteristic values Ei, wherein the variance of the sequence is, and the sequence is calculated to obtain a mean value A1 after the maximum value of the sequence is removed, and then is calculated to obtain a mean value A2 after the minimum value of the sequence is removed;
the qualitative determination unit is used for calculating whether A1/A2 is larger than a preset threshold value or not, and if so, the size of stray capacitance formed by a welding point due to welding capacitance when the industrial robot is assembled on a production line exceeds the preset value;
the first magnetic field sensor, the second magnetic field sensor, the third magnetic field sensor and the fourth magnetic field sensor are all high-sensitivity magnetometers and do not require the batch and model to be completely consistent.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810905069.7A CN109062159B (en) | 2018-08-09 | 2018-08-09 | Unmanned monitoring system for television assembly line |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810905069.7A CN109062159B (en) | 2018-08-09 | 2018-08-09 | Unmanned monitoring system for television assembly line |
Publications (2)
Publication Number | Publication Date |
---|---|
CN109062159A CN109062159A (en) | 2018-12-21 |
CN109062159B true CN109062159B (en) | 2020-12-22 |
Family
ID=64683165
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810905069.7A Active CN109062159B (en) | 2018-08-09 | 2018-08-09 | Unmanned monitoring system for television assembly line |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109062159B (en) |
Family Cites Families (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4837519A (en) * | 1985-09-06 | 1989-06-06 | Southern California Edison Company | Fault detection |
CN100385244C (en) * | 2007-03-16 | 2008-04-30 | 三一重工股份有限公司 | PWM current measuring method |
US8013981B2 (en) * | 2007-06-14 | 2011-09-06 | Asml Netherlands B.V. | Lithographic apparatus and device manufacturing method |
CN101430351A (en) * | 2007-11-09 | 2009-05-13 | 京元电子股份有限公司 | Circuit, system and method for accurately measuring inside stray capacitance of automatic test equipment |
CN202614182U (en) * | 2012-05-11 | 2012-12-19 | 福州朗威激光设备有限公司 | Tool set location laser detecting structure of automatic standard knot welding production line |
KR101472001B1 (en) * | 2012-12-06 | 2014-12-15 | 이성호 | Capacitance detecting means, method related AC power |
CN103747665B (en) * | 2013-12-31 | 2017-02-15 | 深圳雷柏科技股份有限公司 | Multi-station plug-in mounting production line and automatic mouse PCB (printed circuit board) production line |
-
2018
- 2018-08-09 CN CN201810905069.7A patent/CN109062159B/en active Active
Also Published As
Publication number | Publication date |
---|---|
CN109062159A (en) | 2018-12-21 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107305370B (en) | Production system for setting determination value of variable related to abnormality of product | |
CN109164381B (en) | Method and device for online monitoring mechanical state and fault identification of high-voltage circuit breaker | |
JP6348137B2 (en) | Machining machine system for judging the quality of workpieces | |
US20200356069A1 (en) | Machine tool management system | |
US6694286B2 (en) | Method and system for monitoring the condition of an individual machine | |
CN106197558B (en) | A kind of valve state on-line monitoring system and its working method | |
CN111025988A (en) | Intelligent motor control device and control method based on multi-physical-field detection | |
CN108695569B (en) | Current sensor calibration device | |
DE102018201975A1 (en) | DIAGNOSTIC DATA COLLECTION SYSTEM, DIAGNOSTIC SYSTEM AND DIAGNOSTIC DATA COLLECTION PROGRAM | |
CN108363005A (en) | Motor reliability test method | |
CN103543028A (en) | Servo motor performance test device and test system thereof | |
CN109062159B (en) | Unmanned monitoring system for television assembly line | |
CN109062157B (en) | Intelligent control system for assembly line of unmanned television set | |
CN109062158B (en) | Industrial robot assembly fault detection method | |
CN106123939A (en) | A kind of magnetic suspension sensor rigidity testing system and method for testing | |
CN109341504B (en) | Method for automatically calibrating position coordinates of platform | |
CN107577208A (en) | A kind of Digit Control Machine Tool energy consumption data device for testing and analyzing and method | |
CN106595464A (en) | Bearing play monitoring system and method | |
CN115308664A (en) | Calibration device and method of Hall current sensor | |
CN113258849B (en) | Intelligent identification method for control parameters of permanent magnet synchronous motor | |
KR200449437Y1 (en) | Performace test system for control rod coils | |
CN103557888A (en) | Servo motor performance comparison testing device and testing system of servo motor performance comparison testing device | |
JP2022077850A (en) | Information processing device, system, production facility, information processing method, manufacturing method for product, control program, and recording medium | |
CN108646670B (en) | Real-time prediction method for temperature of parts of numerical control machine tool | |
CN106441670A (en) | Servo control driving power measuring system |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |