CN108287046A - A kind of vehicular engine liquid leakage detector device and method - Google Patents
A kind of vehicular engine liquid leakage detector device and method Download PDFInfo
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- CN108287046A CN108287046A CN201810110168.6A CN201810110168A CN108287046A CN 108287046 A CN108287046 A CN 108287046A CN 201810110168 A CN201810110168 A CN 201810110168A CN 108287046 A CN108287046 A CN 108287046A
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- 239000007788 liquid Substances 0.000 title claims abstract description 19
- 238000000034 method Methods 0.000 title claims abstract description 19
- 239000000523 sample Substances 0.000 claims abstract description 55
- 238000001228 spectrum Methods 0.000 claims abstract description 48
- 238000002329 infrared spectrum Methods 0.000 claims abstract description 33
- 238000001514 detection method Methods 0.000 claims abstract description 21
- 239000010687 lubricating oil Substances 0.000 claims abstract description 20
- 238000004458 analytical method Methods 0.000 claims abstract description 19
- 238000012545 processing Methods 0.000 claims abstract description 11
- 238000012790 confirmation Methods 0.000 claims abstract description 7
- 229910000831 Steel Inorganic materials 0.000 claims description 12
- 239000010959 steel Substances 0.000 claims description 12
- 238000012795 verification Methods 0.000 claims description 10
- 238000005286 illumination Methods 0.000 claims description 7
- 238000012937 correction Methods 0.000 claims description 5
- 238000007689 inspection Methods 0.000 claims description 5
- 241000270295 Serpentes Species 0.000 claims description 3
- 230000002159 abnormal effect Effects 0.000 claims description 3
- 238000005452 bending Methods 0.000 claims description 3
- 210000000988 bone and bone Anatomy 0.000 claims description 3
- 239000012141 concentrate Substances 0.000 claims description 3
- 238000012417 linear regression Methods 0.000 claims description 3
- 238000000638 solvent extraction Methods 0.000 claims description 3
- 230000003595 spectral effect Effects 0.000 claims description 3
- 239000010705 motor oil Substances 0.000 claims description 2
- 238000009434 installation Methods 0.000 claims 1
- 239000007787 solid Substances 0.000 claims 1
- 238000012360 testing method Methods 0.000 abstract description 6
- 239000000203 mixture Substances 0.000 abstract description 3
- 238000009659 non-destructive testing Methods 0.000 abstract description 3
- 239000011159 matrix material Substances 0.000 description 8
- 238000005516 engineering process Methods 0.000 description 3
- 239000000463 material Substances 0.000 description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 239000003921 oil Substances 0.000 description 2
- 238000003825 pressing Methods 0.000 description 2
- 238000012549 training Methods 0.000 description 2
- 230000000712 assembly Effects 0.000 description 1
- 238000000429 assembly Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004166 bioassay Methods 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 235000021183 entrée Nutrition 0.000 description 1
- 239000011521 glass Substances 0.000 description 1
- 238000005461 lubrication Methods 0.000 description 1
- 238000010183 spectrum analysis Methods 0.000 description 1
- 238000010561 standard procedure Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M3/00—Investigating fluid-tightness of structures
- G01M3/38—Investigating fluid-tightness of structures by using light
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
- Examining Or Testing Airtightness (AREA)
Abstract
The present invention is vehicular engine liquid leakage detector device and method, belongs to vehicular engine detection technique, detecting instrument includes signal processing circuit, display module, connection flexible pipe component and probe assembly；One end of connection flexible pipe component is fixedly connected with display module, and the other end is fixedly connected with probe assembly；Signal processing circuit is electrically connected with probe assembly, after Pretreated spectra being carried out to the spectrum of measured object, confirmation is identified to measured object based on near-infrared spectrum analysis identification model, thus differentiates that engine leakage is specially lubricating oil leakage or leak, identification result is output to display module.The present invention is realized using near infrared spectrum detection and industrial endoscope detection technique, is carried out non-destructive testing by near-infrared spectrum analysis, analyzes the specific composition qualities of engine leakage, the testing result of a science is provided for service personnel.
Description
Technical field
The present invention relates to vehicular engine detection techniques, specifically, being related to a kind of vehicular engine liquid leakage detector device
And method.
Background technology
The detection of vehicular engine can be realized by industrial endoscope detection technique.Currently, industrial endoscope is mainly drawn
It is divided into two types：The first is freestanding, i.e. for camera after hose stretches into position to be checked, by position to be checked the case where is anti-
It is fed to control circuit board, control circuit board is electrically connected by the data line with USB interface with mobile terminal, realizes data transmission.
Another is integral type, i.e., sample unit, detection part and display unit are mounted in same housing, related this kind of industry
The patent document of endoscope is clear primarily directed to the transmission technology of video, the rotation of probe, the brightness of illumination and image
Degree.
Although the industrial endoscope technology of both the above type has certain practicability, endoscope can only be to portion to be checked
The situation of position is transmitted into row information, needs the micro-judgment by testing staff for diagnostic result, has certain subjectivity
And one-sidedness.
Invention content
In order to solve deficiency of the prior art, it is automobile-used that the present invention provides that a kind of detection speed is fast, accuracy is high
Engine liquid leakage detector device and method are realized using near infrared spectrum detection and industrial endoscope detection technique, by close
Infrared spectrum analysis carries out non-destructive testing, and analyzes the specific composition qualities of engine leakage, a science is provided for service personnel
Testing result.
Detecting instrument of the present invention adopts the following technical scheme that realize：A kind of vehicular engine liquid leakage detector device, including
Signal processing circuit, display module, connection flexible pipe component and probe assembly；One end of connection flexible pipe component is fixed with display module
Connection, the other end are fixedly connected with probe assembly；Signal processing circuit is electrically connected with probe assembly, is carried out to the spectrum of measured object
After Pretreated spectra, confirmation is identified to measured object based on near-infrared spectrum analysis identification model, thus differentiates engine leakage
Identification result is output to display module by the attribute of liquid, i.e. lubricating oil leakage or leak.
Preferably, the element in the probe assembly includes camera, infrared light-emitting diode, infrared receiving tube and illumination
Lamp；Include four groups of guiding steel wires in connection flexible pipe component, one end of every group of guiding steel wire is connect with display module, every group of guiding
The other end of steel wire is separately connected camera, infrared light-emitting diode, infrared receiving tube and headlamp；The front end of hose is set
There are one joint is oriented to, the guiding steel wire is being oriented to intra-articular guided bend, and the element in probe assembly is driven to turn to reality
Existing comprehensive inspection.
Preferably, the display module include the display screen being fixedly mounted in the housing section of display module, main menu by
Button, illumination shortcut key, manipulation button, near infrared ray detection button and switching shortcut key of taking pictures/record a video；Manipulation button with connect it is soft
Tube assembly connects.
Preferably, the vehicular engine liquid leakage detector device further includes the Handleset being connect with display module.
Detection method is based on above-mentioned vehicular engine liquid leakage detector device, includes the following steps：
S1, it connection flexible pipe component is stretched into automobile engine abnormal position is detected, and needed to display according to detection
Manipulation button on component is operated, and realizes comprehensive inspection；
S2, when detector detects the engine phenomenon of leakage, probe assembly is directed at measured object, infrared light-emitting diode
Emit near infrared light, infrared receiving tube receives the reflected light of measured object, acquires the near infrared spectrum of measured object, then right
Leakage carries out near-infrared spectrum analysis identification；
After S3, signal processing circuit carry out Pretreated spectra to the spectrum of measured object, identified based on near-infrared spectrum analysis
Confirmation is identified in model, thus differentiates engine oil leakage or leak；Include finally on display module by identification result.
Preferably, the near-infrared spectrum analysis identification model need to pre-establish, and its step are as follows：
The first step：The acquisition of spectrum
The lubricating oil sample of representational different manufacturers, different quality grade is carried out by near infrared spectrometer close red
External spectrum acquires；Wherein, it is representative refer to sample viscosity temperature characteristic distribution diversity；Each sample collection spectrum three times, and
Its average value is taken to concentrate the original near infrared spectrum data of each sample as lubricating oil viscosity sample spectra；
Second step：The pretreatment of spectrum
Pretreated spectra is carried out to original near infrared spectrum data, rejects the spectral information unrelated with target factor；
Third walks：Establish calibration model
The original near infrared spectrum data of lubricating oil viscosity is divided by calibration set and verification using random sample partitioning
Collection, the calibration model of lubricating oil viscosity is established by the method for offset minimum binary；
4th step：Verify calibration model
Accuracy, the robustness of model are verified with the sample of verification collection.
Compared with prior art, the beneficial effects of the invention are as follows：This vehicular engine liquid leakage detector device passes through near-infrared
The method of spectrum analysis, carries out non-destructive testing, and analyzes the specific composition qualities of engine leakage, a section is provided for service personnel
Testing result, and vehicle is targetedly repaired.Also have simultaneously simple and compact for structure, small and at low cost
Advantage has practical significance.
Description of the drawings
Present invention will be further explained below with reference to the attached drawings and examples, in attached drawing：
Fig. 1 is the structural diagram of the present invention；
Fig. 2 is the schematic diagram of probe component of the present invention；
Fig. 3 is the Establishing process figure of present invention detection identification model；
Wherein：
1 Handleset, 2 battery
3 display module, 4 connection flexible pipe component
5 probe assemblies 31 manipulate button
32 near infrared ray detection buttons 33, which take pictures/record a video, switches shortcut key
34 main menu buttons 35 illuminate shortcut key
36 display screen, 37 housing section
41 are oriented to 51 camera of joint
52 infrared light-emitting diodes
53 infrared receiving tube 54LED headlamps
Specific implementation mode
For the purposes of the present invention, technical solution and advantage are more clearly understood, with reference to the accompanying drawings and embodiments, to this
Invention is described in further detail.
Embodiment
As shown in Figure 1 and Figure 2, which includes signal processing circuit, Handleset 1, display
Component 3, connection flexible pipe component 4 and probe assembly 5.Display module 3 is connected to by housing section 37 on Handleset 1；It connects soft
One end of tube assembly 4 is fixedly connected with display module 3, and the other end of connection flexible pipe component 4 is fixedly connected with probe assembly 5.Letter
Number processing circuit is mounted in housing section 37, be electrically connected with probe assembly, after the spectrum progress Pretreated spectra of measured object, base
Confirmation is identified to measured object in near-infrared spectrum analysis identification model, thus differentiate engine leakage be specially lubricating oil leakage also
It is leak.
Battery 2 is installed in 1 shell of Handleset, power supply is provided for detector.Display module 3 includes display screen 36, entree
Single button 34, illumination shortcut key 35, manipulation button 31, near infrared ray detection button 32 and switching shortcut key 33 of taking pictures/record a video；Its
In, switching shortcut key 33 of taking pictures/record a video is exposal model in default situations, enters video recording mould when the quick key pressing of the switching
Formula then enters exposal model, switches in turn between both of which when pressing again.Display screen 36, main menu button 34, illumination are fast
Prompt key 35, manipulation button 31, near infrared ray detection button 32 and switching shortcut key 33 of taking pictures/record a video are fixedly mounted on housing section 37
On, circuit unit is mounted on inside housing section 37.Probe assembly 5 includes camera 51, infrared light-emitting diode 52, infrared receiver
Pipe 53, LED illumination lamp 54 and seal glass.There are 4 groups of guiding steel wires, one end of every group of guiding steel wire equal in connection flexible pipe component 4
Connect with manipulation button 31, the other end of every group of guiding steel wire respectively in probe assembly 5 four elements (i.e. camera 51,
Infrared light-emitting diode 52, infrared receiving tube 53, LED headlamps 54) connection；The front end of connection flexible pipe component 4, i.e. probe group
The rear of part 5 is oriented to joint and is preferably bent snake bone pipe there are one joint 41 is oriented to.Testing staff can be grasped by upper and lower, left and right
Make manipulation button 31, with the operation of testing staff, is oriented to steel wire guided bend in bending snake bone pipe, thus drives probe
Element in component 5 turns to, and realizes comprehensive inspection.
The detection method of the present invention, includes the following steps：
S1, it presses main menu button, opens automobile endoscope, service personnel is by can be with the easily operated connection of bending change
Hose 4 stretches into automobile engine abnormal position and is detected, and according to detection need to manipulation button operate, such as into
360 ° of row is observed and realization is illuminated, taken pictures, recording function；
S2, when detector detects the engine phenomenon of leakage, probe assembly is directed at detected material, presses near infrared ray
Detection button emits near infrared light, and infrared receiving tube receives the reflected light of detected material, acquires the close red of detected material
Then external spectrum carries out near-infrared spectrum analysis identification to leakage.
Before carrying out near-infrared spectrum analysis identification, it need to train in advance and establish identification model.Because viscosity is to weigh lubrication
One key factor of oil quality index, therefore, the present invention establish near infrared spectrum using lubricating oil viscosity as a parameter
The near infrared spectrum of leakage and this identification model are identified analysis and identification model.As shown in figure 3, the mould of training identification in advance
The establishment step of type is as follows：
The first step：The acquisition of spectrum
By the miniature near infrared spectrometers of MicroNIR to the representational different manufacturers of certain amount, different quality grade
Lubricating oil sample carry out near infrared spectra collection.Wherein, it is representative refer to sample viscosity temperature characteristic distribution diversity.Each
Sample collection spectrum three times, and its average value is taken to concentrate the original near infrared light of each sample as lubricating oil viscosity sample spectra
Modal data.
Second step：The pretreatment of spectrum
In gatherer process, since the factors such as environment can cause spectrum certain drift and include that certain interference is believed
Breath leads to the unstability of model to which modeling result accuracy can be made to decline.Therefore, it needs to use before establishing calibration model
Certain Pretreated spectra rejects the spectral information unrelated with target factor, improves the predictive ability of calibration model as far as possible
And robustness.The Pretreated spectra of lubricating oil viscosity uses multiplicative scatter correction (MSC) method, algorithm as follows：
1. calculating the averaged spectrum of all samples spectrum：
2. by the spectrum A of each sampleiWith averaged spectrumLinear regression is carried out, regression coefficient m is acquiredi、bi：
3. calculating the spectrum after correction：
Wherein, i=1,2 ... ... n, n are sample number, and j indicates j-th of wave number.
Third walks：Establish calibration model
The original near infrared spectrum data of lubricating oil viscosity is divided by calibration set and verification using random sample partitioning
Collection, the calibration model of lubricating oil viscosity is established by the method for offset minimum binary, calculating process is as follows：
First, spectrum matrix X and concentration matrix Y are decomposed：
X=TP+E
Y=UQ+F
Wherein T and U is respectively the score matrix of X and Y, and P and Q are respectively the loading matrix (number of principal components) of X and Y, E and F
The error of fitting matrix of respectively X and Y.
Then, linear regression is carried out to T and U, B is incidence coefficient matrix：
U=TB
B=TU (TT)-1
Finally, the score matrix T of spectrum is found out according to the loading matrix P of known spectraIt is unknown, then can come according to the following formula
The value of unknown sample is predicted：
YIt is unknown=TIt is unknownBQ
4th step：Verify calibration model
Accuracy, the robustness of model are verified with the sample of verification collection.Before this, with the side of routine, standard
Method measures lubricating oil viscosity, judges whether within the allowable range to verify the error for collecting verification viscosity number and bioassay standard value, is,
Then output calibration model；It is no, then it repartitions calibration set and verification collects, repeat the step of third walks and establish calibration model again,
Until error meet demand, output calibration model.Its model passes through coefficient R, forecast set root-mean-square error (RMSEP) and school
Positive collection root-mean-square error (RMSEC) carrys out overall merit, and RMSEP and RMSEC should be very close, and coefficient R is higher,
RMSEP and RMSEC are lower, and the performance of model is better.
In formula,For model predication value, yiFor actual measured value, IcFor the sample number in calibration set, IpIt is concentrated for verification
Sample number, f be independent variable number,For the average value of actual measured value.
The near-infrared spectrum analysis identification model that water is established according to the training in advance of above-mentioned same method and step, that is, acquire water
Near infrared spectrum, establish calibration model after being pre-processed by multiplicative scatter correction (MSC) method, and to this calibration model into
Row verification.Above-mentioned lubricating oil viscosity near-infrared spectrum analysis identification model and the near-infrared spectrum analysis identification model of water are stored
On vehicular engine liquid leakage detector device internal processor of the present invention.
Signal processing circuit in S3, housing section 37 carries out the spectrum of measured object the Pretreated spectra of above-mentioned second step
Afterwards, confirmation is identified based on two groups of near-infrared spectrum analysis identification models that above-mentioned S2 is established, thus differentiates engine leakage
The concrete condition of liquid, i.e. oil leak or leak；Include finally on display screen 36 by identification result.
Specific implementation mode described above is only preferred embodiment provided by the present invention, is not really wanted in the present invention
Appearance is limited.Other any changes made without departing from technical scheme of the present invention or other equivalent substitute modes, all
It is included within protection scope of the present invention.
Claims (9)
1. a kind of vehicular engine liquid leakage detector device, which is characterized in that soft including signal processing circuit, display module, connection
Tube assembly and probe assembly；One end of connection flexible pipe component is fixedly connected with display module, and the other end is fixed with probe assembly to be connected
It connects；Signal processing circuit is electrically connected with probe assembly, after carrying out Pretreated spectra to the spectrum of measured object, is based near infrared spectrum
Confirmation is identified to measured object in analysis and identification model, thus differentiates that engine leakage is specially lubricating oil leakage or leak, mirror
Other result is output to display module.
2. vehicular engine liquid leakage detector device according to claim 1, which is characterized in that the member in the probe assembly
Part includes camera, infrared light-emitting diode, infrared receiving tube and headlamp；Include four groups of guiding steel in connection flexible pipe component
Silk, one end of every group of guiding steel wire connect with display module, and the other end of every group of guiding steel wire is separately connected camera, infrared
Light emitting diode, infrared receiving tube and headlamp；The front end of hose is set there are one joint is oriented to, and the guiding steel wire is being led
To intra-articular guided bend, the element in probe assembly is driven to turn to realize comprehensive inspection.
3. vehicular engine liquid leakage detector device according to claim 2, which is characterized in that the guiding joint is bending
Snake bone pipe.
4. vehicular engine liquid leakage detector device according to claim 1, which is characterized in that the display module includes solid
Display screen, main menu button, illumination shortcut key, manipulation button, near infrared ray of the Dingan County in the housing section of display module are examined
Survey button and switching shortcut key of taking pictures/record a video；Manipulation button is connect with connection flexible pipe component.
5. vehicular engine liquid leakage detector device according to claim 1, which is characterized in that the vehicular engine leakage
Detecting instrument further includes the Handleset being connect with display module.
6. vehicular engine liquid leakage detector device according to claim 5, which is characterized in that the shell of the Handleset
Interior installation battery.
7. based on the vehicular engine method for detecting leakage of vehicular engine liquid leakage detector device described in claim 2, feature
It is, includes the following steps：
S1, it connection flexible pipe component is stretched into automobile engine abnormal position is detected, and needed to display module according to detection
On manipulation button operated, realize comprehensive inspection；
S2, when detector detects the engine phenomenon of leakage, probe assembly is directed at measured object, infrared light-emitting diode transmitting
Near infrared light, infrared receiving tube receive the reflected light of measured object, the near infrared spectrum of measured object are acquired, then to leakage
Carry out near-infrared spectrum analysis identification；
After S3, signal processing circuit carry out Pretreated spectra to the spectrum of measured object, it is based on near-infrared spectrum analysis identification model
Confirmation is identified, thus differentiates engine oil leakage or leak；Include finally on display module by identification result.
8. vehicular engine method for detecting leakage according to claim 7, which is characterized in that the near-infrared spectrum analysis
Identification model need to pre-establish, and its step are as follows：
The first step：The acquisition of spectrum
Near infrared light is carried out to the lubricating oil sample of representational different manufacturers, different quality grade by near infrared spectrometer
Spectrum acquisition；Wherein, it is representative refer to sample viscosity temperature characteristic distribution diversity；Each sample collection spectrum three times, and take it
Average value concentrates the original near infrared spectrum data of each sample as lubricating oil viscosity sample spectra；
Second step：The pretreatment of spectrum
Pretreated spectra is carried out to original near infrared spectrum data, rejects the spectral information unrelated with target factor；
Third walks：Establish calibration model
The original near infrared spectrum data of lubricating oil viscosity is divided by calibration set using random sample partitioning and verification collects, is led to
The method for crossing offset minimum binary establishes the calibration model of lubricating oil viscosity；
4th step：Verify calibration model
Accuracy, the robustness of model are verified with the sample of verification collection.
9. vehicular engine method for detecting leakage according to claim 8, which is characterized in that the Pretreated spectra uses
Multiplicative scatter correction method, algorithm are as follows：
1. calculating the averaged spectrum of all samples spectrum：
2. by the spectrum A of each sampleiWith averaged spectrumLinear regression is carried out, regression coefficient m is acquiredi、bi：
3. calculating the spectrum after correction：
Wherein, i=1,2 ... ... n, n are sample number, and j indicates j-th of wave number.
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| CN201810110168.6A CN108287046B (en) | 2018-02-05 | 2018-02-05 | Vehicle engine liquid leakage detection instrument and method |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810110168.6A CN108287046B (en) | 2018-02-05 | 2018-02-05 | Vehicle engine liquid leakage detection instrument and method |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109238581A (en) * | 2018-11-30 | 2019-01-18 | 贵州电网有限责任公司 | A kind of carrier gas bottle air-path interface fast leakage detection apparatus and its operating method |
| CN113281063A (en) * | 2021-06-10 | 2021-08-20 | 杭州光明汽车有限公司 | Modular car image detects diagnosis intelligent work station |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101609042A (en) * | 2009-06-29 | 2009-12-23 | 浙江托普仪器有限公司 | Hand-held soil nutrient nondestructive measurement system based near infrared spectrum |
| CN101893561A (en) * | 2010-07-13 | 2010-11-24 | 中国人民解放军总后勤部油料研究所 | Near infrared spectrum quick test method of new oil quality of lubricating oil |
| CN101922969A (en) * | 2010-08-30 | 2010-12-22 | 南通北极光自动控制技术有限公司 | Diffuse reflection spectrum analyzer of ultraviolet, visible and near-infrared on-line detection |
| CN203275050U (en) * | 2013-06-05 | 2013-11-06 | 台州朗讯机械有限公司 | Infrared detection apparatus for automobile air-conditioning refrigerant leakage |
| CN103592256A (en) * | 2013-11-29 | 2014-02-19 | 重庆市计量质量检测研究院 | Mid-infrared spectroscopic method for distinguishing normal edible vegetable oil from refined hogwash oil based on Fourier transform |
| CN103888724A (en) * | 2014-03-04 | 2014-06-25 | 上海幸和电子科技有限公司 | High definition snake eye video detector |
| CN104116482A (en) * | 2014-08-11 | 2014-10-29 | 福建师范大学 | Optical image and spectral signal detection device based on endoscope |
| CN104792722A (en) * | 2015-04-30 | 2015-07-22 | 华南农业大学 | Method for establishing agilawood oil content near infrared spectral prediction model |
| CN106841103A (en) * | 2017-03-01 | 2017-06-13 | 沈阳农业大学 | Near infrared spectrum detects fruit internal quality method and dedicated test system |
| CN107101948A (en) * | 2017-06-06 | 2017-08-29 | 南京理工大学 | A kind of offshore spilled oil detection method based on polarization absorption characteristic |
| CN206592783U (en) * | 2017-03-16 | 2017-10-27 | 陈兴 | A kind of petroleum pipeline inspection device based on imaging spectral technology |
| CN208012829U (en) * | 2018-02-05 | 2018-10-26 | 广东轻工职业技术学院 | A kind of vehicular engine liquid leakage detector device |
-
2018
- 2018-02-05 CN CN201810110168.6A patent/CN108287046B/en active Active
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101609042A (en) * | 2009-06-29 | 2009-12-23 | 浙江托普仪器有限公司 | Hand-held soil nutrient nondestructive measurement system based near infrared spectrum |
| CN101893561A (en) * | 2010-07-13 | 2010-11-24 | 中国人民解放军总后勤部油料研究所 | Near infrared spectrum quick test method of new oil quality of lubricating oil |
| CN101922969A (en) * | 2010-08-30 | 2010-12-22 | 南通北极光自动控制技术有限公司 | Diffuse reflection spectrum analyzer of ultraviolet, visible and near-infrared on-line detection |
| CN203275050U (en) * | 2013-06-05 | 2013-11-06 | 台州朗讯机械有限公司 | Infrared detection apparatus for automobile air-conditioning refrigerant leakage |
| CN103592256A (en) * | 2013-11-29 | 2014-02-19 | 重庆市计量质量检测研究院 | Mid-infrared spectroscopic method for distinguishing normal edible vegetable oil from refined hogwash oil based on Fourier transform |
| CN103888724A (en) * | 2014-03-04 | 2014-06-25 | 上海幸和电子科技有限公司 | High definition snake eye video detector |
| CN104116482A (en) * | 2014-08-11 | 2014-10-29 | 福建师范大学 | Optical image and spectral signal detection device based on endoscope |
| CN104792722A (en) * | 2015-04-30 | 2015-07-22 | 华南农业大学 | Method for establishing agilawood oil content near infrared spectral prediction model |
| CN106841103A (en) * | 2017-03-01 | 2017-06-13 | 沈阳农业大学 | Near infrared spectrum detects fruit internal quality method and dedicated test system |
| CN206592783U (en) * | 2017-03-16 | 2017-10-27 | 陈兴 | A kind of petroleum pipeline inspection device based on imaging spectral technology |
| CN107101948A (en) * | 2017-06-06 | 2017-08-29 | 南京理工大学 | A kind of offshore spilled oil detection method based on polarization absorption characteristic |
| CN208012829U (en) * | 2018-02-05 | 2018-10-26 | 广东轻工职业技术学院 | A kind of vehicular engine liquid leakage detector device |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109238581A (en) * | 2018-11-30 | 2019-01-18 | 贵州电网有限责任公司 | A kind of carrier gas bottle air-path interface fast leakage detection apparatus and its operating method |
| CN113281063A (en) * | 2021-06-10 | 2021-08-20 | 杭州光明汽车有限公司 | Modular car image detects diagnosis intelligent work station |
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| Publication number | Publication date |
|---|---|
| CN108287046B (en) | 2024-04-05 |
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