CN107677700A - PCB single board failure detector - Google Patents
PCB single board failure detector Download PDFInfo
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- CN107677700A CN107677700A CN201710672338.5A CN201710672338A CN107677700A CN 107677700 A CN107677700 A CN 107677700A CN 201710672338 A CN201710672338 A CN 201710672338A CN 107677700 A CN107677700 A CN 107677700A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N25/00—Investigating or analyzing materials by the use of thermal means
- G01N25/72—Investigating presence of flaws
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Abstract
The invention provides a kind of PCB single board failure detector, it includes：Shock module, it inputs the control information for control module output；Infrared collecting module, for gathering PCB single board surface temperature distribution, generate Infrared Thermogram；Intelligent diagnostics module, use convolutional neural networks deep learning model realization Intelligent Measurement and self diagnosis；Display module, for showing current PC B single board states；Control module, for controlling the operation of testing process.The present invention improves PCB single board fault detection efficiency and Detection accuracy, reduces the labor intensity of operating personnel, easy to operate, and detection efficiency is high, and accuracy of detection is high.
Description
Technical field
The present invention relates to a kind of detection means, in particular it relates to a kind of PCB single board failure detector.
Background technology
PCB (Printed Circuit Board, printed circuit board (PCB)) is the supplier of electronic component electrical connection.PCB
Veneer is a kind of most basic printed circuit board (PCB), and its part is concentrated wherein simultaneously, and wire is then concentrated on another side.In life
During production, the bad error of paster, discrete component or solder joint occurs, it is necessary to carry out fault detect to it in PCB single board.At present
In most of production lines still use artificial detection method, inspector by its experience by visual inspection to PCB single board carry out by
One detection, this method accuracy of detection are influenceed by inspector experience and its degree of fatigue, consume manpower, and detection speed
Slowly, the needs of quick detection can not be met, it is more low to result in operating efficiency.From detection speed, detection efficiency and cost control
From the aspect of system three, the requirement of the production of enterprise's large scale integration is not complyed with.
The content of the invention
For in the prior art the defects of, it is an object of the invention to provide a kind of PCB single board failure detector, it is improved
PCB single board fault detection efficiency and Detection accuracy, the labor intensity of operating personnel is reduced, easy to operate, detection efficiency is high, inspection
It is high to survey precision.
According to an aspect of the present invention, there is provided a kind of PCB single board failure detector, it is characterised in that the PCB is mono-
Plate failure detector includes：
Shock module, it inputs the control information for control module output, makes PCB single board start to shake, for inducing PCB
The rosin joint of veneer, so as to further be screened out in subsequent step；
Infrared collecting module, it inputs the control information for control module output, for gathering PCB single board surface temperature point
Cloth, generate Infrared Thermogram；
Intelligent diagnostics module, it inputs the Infrared Thermogram obtained for infrared collecting module, deep using convolutional neural networks
Degree learning model realizes Intelligent Measurement and self diagnosis；
Display module, it inputs the control information for control module output, for showing current PC B single board states, currently
The information of detection-phase and the batch PCB single board fault rate；
Control module, it inputs the control information being an externally input, the control information of optical sensing devices input, vibrations mould
Control information, the control information of intelligent diagnostics module input of block input, for controlling the operation of testing process；Outside input control
Information processed is used for the work for controlling delivery module, and optical sensing devices input control information is used for the work for controlling shock module,
Shock module input control information is used for the work for controlling infrared thermal imagery acquisition module, and intelligent diagnostics module input control information is used
In the work of control display module.
Preferably, the PCB single board failure detector make PCB single board to be measured be under powered operation state detect its therefore
Barrier state.
Preferably, the PCB single board failure detector also includes fixing device, for PCB single board to be measured to be fixed on
In detection means, it is therefore an objective to which shock module makes PCB single board position keep constant when working.
Preferably, the PCB single board failure detector also includes conveyer, to be checked for PCB single board to be sent to
Survey station.
Preferably, the PCB single board failure detector also includes optical sensing devices, is on station to be measured for judging
It is no to transmit PCB single board to be measured, so as to be communicated with control module, complete follow-up testing process.
Preferably, the infrared thermal imagery acquisition module uses the following course of work：By a thermal infrared imager and computer
Normal connection, is allowed in running order；The software systems of the thermal infrared imager in computer are run, adjust its relevant parameter；
The Temperature Distribution on PCB single board surface is gathered, obtains Infrared Thermogram；Preserve, and transmitted to computer after the completion of thermography collection
Middle wait subsequent treatment.
Preferably, the intelligent diagnostics module includes training module and diagnostic module, and training module is used for convolutional Neural net
The training of network, training need to be completed before physical fault detects, and training module uses the following course of work：Collect a number of
PCB single board thermography, handmarking is carried out to it, and mark result is divided into failure and the not class of failure two, that is, obtains certain scale
Training set；Infrared Thermogram is pre-processed, including gray scale conversion and two steps of size adjusting；Using training set as convolution
The input of neutral net, Training is carried out, iteration updates the weights and bias of neutral net, will to accuracy of detection is met
Ask；Whether diagnostic module judges its failure according to the Infrared Thermogram of PCB single board to be detected, and diagnostic module is using following worked
Journey：The Infrared Thermogram of PCB single board to be measured is pre-processed, including gray scale conversion and two steps of size adjusting；It will locate in advance
Input of the PCB single board Infrared Thermogram as convolutional neural networks after reason, is classified using convolutional neural networks to it, classification knot
Fruit is failure and the not class of failure two, completes diagnosis.
Compared with prior art, the present invention has following beneficial effect：
One, PCB single board failure detector of the present invention expands the scope of detection failure：Entirely detection process is
Completed under PCB single board powered operation state, in addition to it can detect physical fault, it may also be used for detection PCB single board exists
Failure that may be present under working condition.
Two, PCB single board failure detector of the present invention by shock module induce PCB single board to be measured there may be
Failure, eliminate the potential problems such as PCB single board rosin joint, improve accuracy of detection.
Three, PCB single board failure detector of the present invention realizes intelligent diagnostics module using deep learning method, adopts
By the use of convolutional neural networks as grader, judge PCB single board failure whether, have that classification speed is fast, high accuracy for examination.
Four, PCB single board failure detector of the present invention substitutes manpower using computer and instrument, realizes automatic
Change, intelligentized PCB single board fault detect, accuracy of detection is high, detection efficiency is high.
Brief description of the drawings
The detailed description made by reading with reference to the following drawings to non-limiting example, further feature of the invention,
Objects and advantages will become more apparent upon：
Fig. 1 is the structured flowchart of PCB single board failure detector of the present invention；
Fig. 2 is the structural representation of PCB single board failure detector of the present invention；
Fig. 3 is the workflow block diagram of intelligent diagnostics module in PCB single board failure detector of the present invention.
Embodiment
With reference to specific embodiment, the present invention is described in detail.Following examples will be helpful to the technology of this area
Personnel further understand the present invention, but the invention is not limited in any way.It should be pointed out that the ordinary skill to this area
For personnel, without departing from the inventive concept of the premise, various modifications and improvements can be made.These belong to the present invention
Protection domain.
As shown in figure 1, PCB single board failure detector of the present invention includes：
Shock module, it inputs the control information for control module output, makes PCB single board start to shake, for inducing PCB
The incipient faults such as the rosin joint of veneer, so as to further be screened out in subsequent step.
Infrared collecting module, it inputs the control information for control module output, for gathering PCB single board surface temperature point
Cloth, generate Infrared Thermogram.
Intelligent diagnostics module, it inputs the Infrared Thermogram obtained for infrared collecting module, deep using convolutional neural networks
Degree learning model realizes Intelligent Measurement and self diagnosis.Intelligent diagnostics module includes training module and diagnostic module.Training module makes
With the training set training convolutional neural networks of certain scale, network is set to meet accuracy of detection requirement；Detection module use trains
Convolutional neural networks the thermography inputted is classified, obtain diagnostic result.
Display module, it inputs the control information for control module output, for showing current PC B single board states, currently
The information of detection-phase and the batch PCB single board fault rate.
Control module, it inputs the control information being an externally input, the control information of optical sensing devices input, vibrations mould
Control information, the control information of intelligent diagnostics module input of block input, for controlling the operation of testing process；Outside input control
Information processed is used for the work for controlling delivery module, and optical sensing devices input control information is used for the work for controlling shock module,
Shock module input control information is used for the work for controlling infrared thermal imagery acquisition module, and intelligent diagnostics module input control information is used
In the work of control display module.
The PCB single board failure detector makes PCB single board to be measured be under powered operation state to detect its malfunction.
The PCB single board failure detector also includes fixing device, for PCB single board to be measured to be fixed on into detection means
On, it is therefore an objective to shock module makes PCB single board position keep constant when working.
The PCB single board failure detector also includes conveyer, for PCB single board to be sent into station to be detected.
The PCB single board failure detector also includes optical sensing devices, for judging whether transmitted on station to be measured
PCB single board to be measured, so as to be communicated with control module, complete follow-up testing process.
Shock module obtains instruction of starting working from control module, PCB single board is shaken with certain frequency, and its purpose exists
In its incipient fault of induction, for example the problems such as rosin joint, screened out in follow-up detection module.
The infrared thermal imagery acquisition module is used to gather the surface temperature distribution under PCB single board working condition, and generation is infrared
Thermography.Infrared thermal imagery acquisition module uses the following course of work：One thermal infrared imager is normally connected with computer, is allowed to
It is in running order；The software systems of the thermal infrared imager in computer are run, adjust its relevant parameter；Gather PCB single board table
The Temperature Distribution in face, obtain Infrared Thermogram；Preserved after the completion of thermography collection, and transmit into computer and wait follow-up place
Reason.
The intelligent diagnostics module is used based on the depth learning technology of convolutional neural networks to the infrared of PCB single board to be measured
Thermography carries out calculating processing, according to result judge PCB single board whether failure.
The intelligent diagnostics module includes training module and diagnostic module, and training module is used for the instruction of convolutional neural networks
Practice, training need to be completed before physical fault detects, and training module uses the following course of work：Collect a number of PCB single board
Thermography, handmarking is carried out to it, mark result is divided into failure and the not class of failure two, that is, obtains the training set of certain scale；
Infrared Thermogram is pre-processed, including gray scale conversion and two steps of size adjusting；Using training set as convolutional Neural net
The input of network, Training is carried out, iteration updates the weights and bias of neutral net, is required to accuracy of detection is met；Examine
Whether disconnected module judges its failure according to the Infrared Thermogram of PCB single board to be detected, and diagnostic module uses the following course of work：It is right
The Infrared Thermogram of PCB single board to be measured is pre-processed, including gray scale conversion and two steps of size adjusting；Will be pretreated
Input of the PCB single board Infrared Thermogram as convolutional neural networks, it is classified using convolutional neural networks, classification results are event
Barrier and the not class of failure two, complete diagnosis.
Control information that the input of the control module is an externally input, the control information of optical sensing devices input, shake
Control information, the control information of intelligent diagnostics module input of dynamic model block input.Outside input control information starts as device
The signal of work, the signal started working through the defeated delivery module of control module；Optical sensing devices input control information is as shake
The signal of dynamic model BOB(beginning of block) work；The letter that the control information of shock module input is started working as infrared thermal imagery acquisition module
Number；The signal that the control information of intelligent diagnostics module input is started working as display module.
The display module of the PCB single board failure detector is used to show current detection information, including current PCB single board
State, current detection stage and the batch PCB single board fault rate.
As shown in Fig. 2 the structural representation for PCB single board failure detector of the present invention.1 is computer in figure, and 2 be light
Sensing device is learned, 3 be infrared thermal imagery acquisition module, and 4 be PCB single board to be measured, and 5 be fixing device, and 6 be conveyer, and 7 be loading
Platform, 8 be shock module, and 9 be display module.In concrete operations, carrying out hardware connection according to above-mentioned schematic diagram can complete to examine
The preparation of survey.
Illustrate the process of the PCB single board failure detector using the present invention with reference to example.
(1) PCB single board 4 to be measured is placed on objective table 7, fixes it by fixing device 5, control module receives outside
Control information is sent to position to be detected by conveyer 6.
(2) optical sensing devices 2 detect PCB single board 4 to be measured, and sending instruction to control module starts shock module 8
The PCB single board 4 to be measured that works is shaken with certain frequency, induces the potential problems such as its rosin joint, to PCB single board 4 to be measured after the completion of vibrations
Power supply is at working condition.
(3) the backward control module of the work of shock module 8 completion, which sends instruction, makes infrared thermal imagery acquisition module 3 start working.
Infrared thermal imagery acquisition module 3 must be correctly connected with computer 1 before, and run the corollary system software in computer 1, adjusted
Its whole relevant parameter.After being connected to work order, infrared thermal imagery acquisition module 3 gathers the surface temperature of PCB single board 4 to be measured, obtains
Infrared Thermogram preserves, and transmits it in computer 1.
(4) after computer 1 receives Infrared Thermogram, input intelligent diagnostics module is detected, intelligent diagnostics module bag
Training module and diagnostic module are included, its workflow block diagram is as shown in Figure 3., it is necessary to obtain certain scale in training module
Training set, the acquisition of training set include handmarking and pre-processed with thermography, and thermography pretreatment includes gray scale conversion and size
Adjustment.Convolutional neural networks are trained using training set, iteration updates its connection weight and bias, until meeting detection
Required precision.In diagnostic module, pretreated PCB single board thermography is inputted to the convolutional neural networks trained, utilized
Convolutional neural networks are classified to it, and classification results are failure and the not class of failure two, complete diagnosis.Relevant diagnostic information passes through
Display module 9 is shown.
The present invention makes PCB single board vibrations induce the incipient faults such as rosin joint by shock module first, to PCB after the completion of vibrations
Veneer is powered, and is at working condition, and it is infrared to gather the acquisition of PCB single board surface temperature secondly by infrared thermal imagery acquisition module
Thermography, examining for PCB single board failure is realized finally by the intelligent diagnostics module based on convolutional neural networks deep learning method
It is disconnected, coherent detection information is shown by display module in detection process.The present invention realizes the automation of PCB single board failure, intelligence
Energyization detects, and improves the precision and efficiency of detection.
The specific embodiment of the present invention is described above.It is to be appreciated that the invention is not limited in above-mentioned
Particular implementation, those skilled in the art can make various deformations or amendments within the scope of the claims, this not shadow
Ring the substantive content of the present invention.
Claims (7)
1. a kind of PCB single board failure detector, it is characterised in that the PCB single board failure detector includes：
Shock module, it inputs the control information for control module output, makes PCB single board start to shake, for inducing PCB single board
Rosin joint, so as to further being screened out in subsequent step；
Infrared collecting module, it inputs the control information for control module output, for gathering PCB single board surface temperature distribution,
Generate Infrared Thermogram；
Intelligent diagnostics module, it inputs the Infrared Thermogram obtained for infrared collecting module, uses convolutional neural networks depth
Practise model realization Intelligent Measurement and self diagnosis；
Display module, it inputs the control information for control module output, for showing current PC B single board states, current detection
Stage and the information of the batch PCB single board fault rate；
Control module, control information, the shock module that it inputs the control information being an externally input, optical sensing devices input are defeated
Control information, the control information of intelligent diagnostics module input entered, for controlling the operation of testing process；Outside input control letter
The work for controlling delivery module is ceased, optical sensing devices input control information is used for the work for controlling shock module, vibrations
Module input control information is used for the work for controlling infrared thermal imagery acquisition module, and intelligent diagnostics module input control information is used to control
The work of display module processed.
2. PCB single board failure detector according to claim 1, it is characterised in that the PCB single board fault detect dress
Putting, which makes PCB single board to be measured be under powered operation state, detects its malfunction.
3. PCB single board failure detector according to claim 1, it is characterised in that the PCB single board fault detect dress
Putting also includes fixing device, for PCB single board to be measured to be fixed on into detection means, it is therefore an objective to which shock module makes PCB when working
Veneer position keeps constant.
4. PCB single board failure detector according to claim 1, it is characterised in that the PCB single board fault detect dress
Putting also includes conveyer, for PCB single board to be sent into station to be detected.
5. PCB single board failure detector according to claim 1, it is characterised in that the PCB single board fault detect dress
Putting also includes optical sensing devices, for judging PCB single board to be measured whether is transmitted on station to be measured, so as to lead to control module
News, complete follow-up testing process.
6. PCB single board failure detector according to claim 1, it is characterised in that the infrared thermal imagery acquisition module
Using the following course of work：One thermal infrared imager is normally connected with computer, is allowed in running order；Run computer
In thermal infrared imager software systems, adjust its relevant parameter；The Temperature Distribution on PCB single board surface is gathered, obtains infrared heat
As figure；Preserved after the completion of thermography collection, and transmit and subsequent treatment is waited into computer.
7. PCB single board failure detector according to claim 1, it is characterised in that the intelligent diagnostics module includes
Training module and diagnostic module, training module are used for the training of convolutional neural networks, and training need to be completed before physical fault detects,
Training module uses the following course of work：A number of PCB single board thermography is collected, handmarking, mark knot are carried out to it
Fruit is divided into failure and the not class of failure two, that is, obtains the training set of certain scale；Infrared Thermogram is pre-processed, including gray scale
Conversion and two steps of size adjusting；Input using training set as convolutional neural networks, carry out Training, iteration renewal
The weights and bias of neutral net, required to accuracy of detection is met；Diagnostic module is according to the infrared thermal imagery of PCB single board to be detected
Whether figure judges its failure, and diagnostic module uses the following course of work：The Infrared Thermogram of PCB single board to be measured is located in advance
Reason, including gray scale conversion and two steps of size adjusting；Using pretreated PCB single board Infrared Thermogram as convolutional Neural net
The input of network, it is classified using convolutional neural networks, classification results are failure and the not class of failure two, complete diagnosis.
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| CN201710672338.5A CN107677700A (en) | 2017-08-08 | 2017-08-08 | PCB single board failure detector |
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| CN201710672338.5A CN107677700A (en) | 2017-08-08 | 2017-08-08 | PCB single board failure detector |
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109239577A (en) * | 2018-09-06 | 2019-01-18 | 国营芜湖机械厂 | A kind of on-board circuitry plate Fault Quick Diagnosis method |
| CN109443542A (en) * | 2018-11-06 | 2019-03-08 | 中国矿业大学 | A kind of pressure fan on-Line Monitor Device and monitoring method based on infrared thermal imaging technique |
| CN109470707A (en) * | 2018-11-30 | 2019-03-15 | 北京卫星制造厂有限公司 | Method based on thermal infrared imager test data judging rosin joint solder joint |
| CN109783560A (en) * | 2019-01-16 | 2019-05-21 | 江苏圣通电力新能源科技有限公司 | The detection method of status of electric power based on deep learning multiple features fusion |
| CN110261437A (en) * | 2019-07-01 | 2019-09-20 | 重庆科技学院 | A kind of natural gas station press device defect census method based on infrared thermal imagery |
| CN110548349A (en) * | 2019-09-05 | 2019-12-10 | 杨屹 | purification control system and method for air filter |
| CN110967376A (en) * | 2019-12-13 | 2020-04-07 | 上海吉埃姆智能设备有限公司 | Welding quality detection system |
| CN115452888A (en) * | 2022-08-26 | 2022-12-09 | 北京卫星制造厂有限公司 | Solder joint quality detection equipment and method based on infrared thermal imaging technology |
| CN117828499A (en) * | 2024-03-04 | 2024-04-05 | 深圳市恒天翊电子有限公司 | PCBA abnormal part determination method, system, storage medium and electronic equipment |
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Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109239577A (en) * | 2018-09-06 | 2019-01-18 | 国营芜湖机械厂 | A kind of on-board circuitry plate Fault Quick Diagnosis method |
| CN109443542B (en) * | 2018-11-06 | 2020-01-21 | 中国矿业大学 | On-line monitoring device and monitoring method for forced draught fan based on infrared thermal imaging technology |
| CN109443542A (en) * | 2018-11-06 | 2019-03-08 | 中国矿业大学 | A kind of pressure fan on-Line Monitor Device and monitoring method based on infrared thermal imaging technique |
| CN109470707A (en) * | 2018-11-30 | 2019-03-15 | 北京卫星制造厂有限公司 | Method based on thermal infrared imager test data judging rosin joint solder joint |
| CN109470707B (en) * | 2018-11-30 | 2021-09-03 | 北京卫星制造厂有限公司 | Method for judging false solder joint based on infrared thermography test data |
| CN109783560A (en) * | 2019-01-16 | 2019-05-21 | 江苏圣通电力新能源科技有限公司 | The detection method of status of electric power based on deep learning multiple features fusion |
| CN110261437A (en) * | 2019-07-01 | 2019-09-20 | 重庆科技学院 | A kind of natural gas station press device defect census method based on infrared thermal imagery |
| CN110261437B (en) * | 2019-07-01 | 2021-10-29 | 重庆科技学院 | Natural gas station pressure equipment defect general investigation method based on infrared thermal image |
| CN110548349A (en) * | 2019-09-05 | 2019-12-10 | 杨屹 | purification control system and method for air filter |
| CN110967376A (en) * | 2019-12-13 | 2020-04-07 | 上海吉埃姆智能设备有限公司 | Welding quality detection system |
| CN115452888A (en) * | 2022-08-26 | 2022-12-09 | 北京卫星制造厂有限公司 | Solder joint quality detection equipment and method based on infrared thermal imaging technology |
| CN117828499A (en) * | 2024-03-04 | 2024-04-05 | 深圳市恒天翊电子有限公司 | PCBA abnormal part determination method, system, storage medium and electronic equipment |
| CN117828499B (en) * | 2024-03-04 | 2024-05-28 | 深圳市恒天翊电子有限公司 | PCBA abnormal part determination method, system, storage medium and electronic equipment |
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