CN101093191A - System and method for detecting contaminant of oil liquor synthetically - Google Patents
System and method for detecting contaminant of oil liquor synthetically Download PDFInfo
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- CN101093191A CN101093191A CN 200710023578 CN200710023578A CN101093191A CN 101093191 A CN101093191 A CN 101093191A CN 200710023578 CN200710023578 CN 200710023578 CN 200710023578 A CN200710023578 A CN 200710023578A CN 101093191 A CN101093191 A CN 101093191A
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- 239000000356 contaminant Substances 0.000 title claims description 31
- 238000000034 method Methods 0.000 title claims description 30
- 239000003344 environmental pollutant Substances 0.000 claims abstract description 84
- 231100000719 pollutant Toxicity 0.000 claims abstract description 84
- 238000001514 detection method Methods 0.000 claims abstract description 37
- 239000000758 substrate Substances 0.000 claims abstract description 15
- 239000012530 fluid Substances 0.000 claims description 27
- 239000002245 particle Substances 0.000 claims description 25
- 230000005307 ferromagnetism Effects 0.000 claims description 20
- 238000011109 contamination Methods 0.000 claims description 10
- 238000004364 calculation method Methods 0.000 claims description 9
- 238000012795 verification Methods 0.000 claims description 7
- 238000004140 cleaning Methods 0.000 claims description 5
- 239000003818 cinder Substances 0.000 claims description 3
- 238000005070 sampling Methods 0.000 claims description 2
- 238000004458 analytical method Methods 0.000 abstract description 8
- 239000003921 oil Substances 0.000 description 35
- 230000015556 catabolic process Effects 0.000 description 4
- 238000006731 degradation reaction Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 238000001228 spectrum Methods 0.000 description 3
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 2
- 238000005299 abrasion Methods 0.000 description 2
- 230000008021 deposition Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000008676 import Effects 0.000 description 2
- YOBAEOGBNPPUQV-UHFFFAOYSA-N iron;trihydrate Chemical compound O.O.O.[Fe].[Fe] YOBAEOGBNPPUQV-UHFFFAOYSA-N 0.000 description 2
- 239000010721 machine oil Substances 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 229920002120 photoresistant polymer Polymers 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000007619 statistical method Methods 0.000 description 2
- 238000013459 approach Methods 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
- 230000000903 blocking effect Effects 0.000 description 1
- 238000005352 clarification Methods 0.000 description 1
- 230000000052 comparative effect Effects 0.000 description 1
- 230000007850 degeneration Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 238000005538 encapsulation Methods 0.000 description 1
- 238000005530 etching Methods 0.000 description 1
- 230000005294 ferromagnetic effect Effects 0.000 description 1
- 239000011521 glass Substances 0.000 description 1
- 239000003292 glue Substances 0.000 description 1
- 239000010720 hydraulic oil Substances 0.000 description 1
- 229910052742 iron Inorganic materials 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- 239000010687 lubricating oil Substances 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 239000012528 membrane Substances 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000000465 moulding Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000004080 punching Methods 0.000 description 1
- 230000011218 segmentation Effects 0.000 description 1
- 239000005361 soda-lime glass Substances 0.000 description 1
- 238000010183 spectrum analysis Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
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Abstract
An integrated detection system of oil pollutant comprises sample feeding unit of oil, micro-scoping unit, image collection and analysis unit. It is featured as setting Y form etched micro-pipe formed by general runner and the first branch runner as well as the second branch runner on substrate of transducer, utilizing cross region as deposit region and setting permanent magnet near to said deposit region.
Description
Technical field
Oil contaminant comprehensive detection system of the present invention and detection method relate to the comprehensive detection of machine oil contaminant, belong to sensor measurement instrument field.
Background technology
The function of existing machine oil contaminant detecting instrument is comparatively single, and process is comparatively complicated.For finishing the comprehensive detection of pollutant, need carry out the detection of contamination level of oil liquid with the pollutant counter usually, carry out the detection of ferromagnetism pollutant with ferrograph, carry out the detection of pollutant component with the oil analysis spectrometer.This wherein the detection of ferrograph also need the process of complicated system spectrum, the analysis of spectrometer is general also only effective to less pollutant.Aspect the iron spectrum, the product of comparative maturity is arranged all both at home and abroad at present, such as the PQ series ferrograph of U.S. outstanding person than scientific ﹠ technical corporation.There are the HIAC-8000A type pollutant counter of U.S. Pacific Ocean company, the PLC-2000 type laser pollutant counter of U.S. PARKER company, the UCC series pollutant counter of German West Germany good fortune company in pollutant counter aspect, more representational product.The MOA type oil analysis spectrometer that U.S. Baird company is arranged aspect spectral analysis.Because a lot of oil contaminant detecting instrument equipment all need import, the cost of purchase and maintenance is than higher.
Summary of the invention
The object of the present invention is to provide a kind of process simple, dependable performance, oil contaminant comprehensive detection system and detection method that function is integrated.This detection system can detect the dustiness of fluid, distinguishes ferromagnetism pollutant and nonferromagnetic pollutant, and to the detailed classification of these two kinds of particles with carry out concentration and calculate.Can substitute the function of pollutant counter and ferrograph fully, have the partial function of oil analysis spectrometer.
A kind of oil contaminant comprehensive detection system, comprise the fluid sampling system of forming by micro pump, kapillary, sensor, oil return pond, the microscopic system of forming by microscope, reflection source, transmitted light source, the image acquisition analytic system of forming by camera, image card, computing machine, and the permanent magnet part, it is characterized in that:
Described sensor is formed by substrate and cover plate two parts bonding, and be etched with on the substrate by total runner, the integral body that first runner and second runner are formed is the microchannel of Y type, and total runner, first runner and the second runner intersection are sedimentary province, the sedimentary province middle part is drilled with aperture and the draw point of the downward conducting that bonds forms cinder cleaning hole, on cover plate, be provided with one and be bonded with the upwards oil supply hole of the draw point of conducting with total runner end position corresponding position, on cover plate with first runner (end position and be drilled with the draw point that aperture is bonded with upwards conducting respectively and form first oil outlet and second oil outlet with the second runner end position is corresponding; Permanent magnet places the side of sensor and is close to sensor near sedimentary province, and described side is the second runner outer side edges.
A kind ofly utilize described oil contaminant comprehensive detection system, carry out the method for oil contaminant comprehensive detection:
1, be applicable to the total pollutant levels of fluid that detect under each size section, it is characterized in that may further comprise the steps:
Utilize micro pump that oil sample is sent in the sensor of the described Y of having type microtube structure when a, detection, choose the image of G1 point for pollutant in the observation station collection fluid in the oil sample process of flowing, wherein the G1 point is positioned at total runner middle part;
B, the image of G1 point oil contaminant is carried out analytical calculation: calculate the active volume of the fluid that every two field picture comprises earlier, calculate gross contamination substrate concentration M in each size section according to size, the quantity of contaminant particle again.
2, be applicable to the concentration of nonferromagnetic pollutant in the detection of contamination, it is characterized in that may further comprise the steps:
Utilize micro pump that oil sample is sent in the sensor of the described Y of having type microtube structure when a, detection, choosing G2 in the oil sample process of flowing is the image that observation station is gathered pollutant in the fluid, and wherein the G2 point is positioned at first runner middle part;
B, the image of G2 point oil contaminant is analyzed: calculate the fluid active volume that every two field picture comprises earlier, according to the characteristics of image parameter nonferromagnetic pollutant is divided into the n class again, calculate the concentration under each classification at last, establish
N2＝{N2
1，N2
2，.......，N2
n}。
Wherein, also can profit carry out verification: choose the image of G3 point for pollutant in the observation station collection fluid in the oil sample process of flowing, wherein the G3 point is positioned at second runner middle part; The image of G3 point oil contaminant is carried out analytical calculation try to achieve the nonferromagnetic pollutant levels, should be less than the G2 point data; With above data the data of the first runner G2 observation point are carried out verification.
3, be applicable to the concentration of ferromagnetism pollutant in the detection of contamination, it is characterized in that may further comprise the steps:
Utilize micro pump oil sample to be sent in the sensor of the described Y of having type microtube structure when a, detection, in the oil sample process of flowing, choose 2 images of gathering pollutant in the fluid for observation station of G1, G2 respectively, wherein the G1 point is positioned at total runner middle part, and the G2 point is positioned at first runner middle part;
B, the image of G1 point oil contaminant is carried out analytical calculation: calculate the fluid active volume that every two field picture comprises earlier, by wearing and tearing mechanism pollutant is divided into the m class according to the characteristics of image parameter again and calculates pollutant levels M1={M1 under each classification
1, M1
2...., M1
m;
C, the image of G2 point oil contaminant is carried out analytical calculation: calculate the fluid active volume that every two field picture comprises earlier, by wearing and tearing mechanism pollutant is divided into the m class according to the characteristics of image parameter again, calculate the pollutant levels M2={M2 under each classification
1, M2
2...., M2
m;
The concentration of ferromagnetism pollutant in d, the calculating fluid:
M3＝M1-M2＝{M1
1-M2
1，M1
2-M2
2，.......，M1
m-M2
m}。
Existing ferromagnetism pollutant has the nonferromagnetic pollutant again in total runner, can analyze pollutant levels total in each size section by the observation station on total runner; Owing under sedimentary province, be sidelong and be provided with permanent magnet, so the ferromagnetism pollutant of flowing through herein from total runner will be subjected to permanent magnet attraction and be deposited on sedimentary province, then flow through in the solution of first runner and will only comprise the nonferromagnetic pollutant, then can detect the nonferromagnetic pollutant levels, utilize the method for the total runner and the first runner difference can calculate the concentration of ferromagnetism pollutant.In addition, because the nonferromagnetic pollutant has part and is carried secretly deposition by the ferromagnetism pollutant, so the concentration under each of the nonferromagnetic pollutant that generally should detect less than the first runner observation station according to each classification concentration down of being located at the nonferromagnetic pollutant that the second runner observation station calculates classified can be carried out verification to the testing result of nonferromagnetic pollutant in view of the above.
The present invention is owing to can directly observe pollutant, and the accuracy of pollutant counting is in 1%, and the accuracy that ferromagnetism is screened is in 3%, and the accuracy of classification of pollutant is in 5%.Only be 25% of external typical pollutant counter product with this cost that is sensed as the oil contamination comprehensive detecting Instrument of foundational development.The present invention is mainly used in the monitoring of the lubricating oil and the hydraulic oil of large-scale machinery and equipment, and the wear-out failure of plant equipment is diagnosed and prevented, and analyzes the relation of state of wear and oil contamination.
Description of drawings
Fig. 1 is the arrangement plan of oil contaminant comprehensive detection system.
Fig. 2 is the structural representation of sensor.
Fig. 3 is the sensors observe schematic diagram.
Fig. 4 is the schematic diagram of ferromagnetic particle classification.
Number in the figure title: 1, micro pump, 2, kapillary, 3, sensor, 4, the oil return pond, 5, microscope, 6, reflection source, 7, transmitted light source, 8, camera, 9, image pick-up card, 10, computer software and hardware, 11, permanent magnet, 12, substrate, 13, cover plate, 14, total runner, 15, first runner, 16, second runner, 17, sedimentary province, 18, cinder cleaning hole, 19, first oil supply hole, 20, second oil supply hole.
Embodiment
Concrete enforcement to system is described below in conjunction with the accompanying drawings:
1. the composition of system as shown in Figure 1, partly (comprising camera (8), image pick-up card (9) and computer software and hardware (10)) and permanent magnet (11) are formed by oil circuit part (comprising micro pump (1), kapillary (2), sensor (3) and oil return pond (4)), microscopic system (comprising microscope (5), reflection source (6), transmitted light source (7)), image acquisition and processing, wherein microscope adopts the two light source metaloscopes of L2020A of optical instrument factory, Guangzhou, and camera adopts the hv3102uc digital camera of Beijing Imax Corp. of Daheng.Magnet and sensor are fixed on the microscopical objective table by specific anchor clamps.Computing machine adopts the universal PC based on the windows platform.
Sensor is the core devices of system, and the structure of sensor such as Fig. 2 are by substrate (12), and cover plate (13) two parts are formed.The material of substrate and cover plate is soda-lime glass, and thickness is 1.5mm.Specific microtube structure is arranged on the substrate, and the degree of depth is 100um.The port of corresponding substrate pipeline has three φ 1.2mm apertures on the cover plate, in the junction of three pipelines of substrate the larger area sedimentary province is arranged.The middle position of sedimentary province also has the aperture of same size.Directly be packaged together by the high temperature bonding techniques between substrate and the cover plate, draw point and aperture are fixing by the 504AB gummed.Three top draw points are used for the sample introduction and the outflow of fluid, and following draw point is analyzed the cleaning that the back conducting is used for the ferromagnetism pollutant on blocking up when analyzing.
2. the processing of sensor is based on MEMS technology.Use Mcromedia FreehandMX software to draw designed graphics chip earlier, on photographic negative, make photo etched mask with the high-resolution laser film setter.Carry out the optics grinding and buffing then and handle on the glass sheet of choosing, vacuum moulding machine one deck Cr protects etch layer, gets rid of the last layer photoresists on Cr uniformly, adopts 212 positive glue.The mask of making is attached on the photoresists, under strong ultraviolet source, exposes, develop, etching, membrane removal, operational sequences such as cleaning, according to the needs punching of continuous sample introduction, glass-chip is made in encapsulation.
3. each analysis principle that detects index is described below.Sensor is equipped with high strength permanent magnets in the position of the close deposit cavity of one side, and is provided with three observation station G1 on sensor in the process of analyzing, G2, G3, three groups of images are caught three observation stations during detection as shown in Figure 3 successively in the position of each observation station.The calculation process that all kinds of indexs are concrete is as follows:
Be located at total runner observation station, the image set that nonferromagnetic observation station and verification observation station obtain is respectively P1, P2 and P3, and the ferromagnetism pollutant is divided into the m class, and the nonferromagnetic pollutant is divided into the n class.Earlier the pollutant among the P1 is carried out size and calculate and quantity statistics,, obtain the pollutant levels M under each size segmentation of fluid in conjunction with the fluid volume that calculates according to Field Characteristics.
Can suppose that then the pollutant among the P1 all is that the ferromagnetism pollutant is classified, the concentration M1={M1 of all types of pollutants that obtain
1, M1
2...., M1
m.
To image set P2, suppose that abrasive particle all is that ferromagnetism pollutant or nonferromagnetic pollutant carry out twice identification (in fact all being the nonferromagnetic pollutant) under the different classification, all types of pollutant levels that obtain then
M2＝{M2
1，M2
2，.......，M2
m} N2＝{N2
1，N2
2，.......，N2
n}
Extrapolate at last the dustiness of ferromagnetism pollutant in conjunction with the recognition result of the recognition result of P1 and nonferromagnetic pollutant.
M3＝M1-M2＝{M1
1-M2
1，M1
2-M2
2，.......，M1
m-M2
m}
For image set P3, the deposit cavity because verification observation station place runner is flowed through, nonferromagnetic pollutant wherein has part and is carried secretly deposition by the ferromagnetism pollutant, generally should can carry out verification to the measurement result of nonferromagnetic pollutant in view of the above so calculate each component of dustiness (N3) of nonferromagnetic pollutant according to image set P3 less than each component of N2.
The gross contamination substrate concentration of the fluid that finally obtains, the ferromagnetism pollutant with the nonferromagnetic pollutant separately specifically the classification under concentration be respectively: M, M3 and N2.
4. the process of Flame Image Process is described below.The image of at first by acquisition software camera being taken during analysis imports computing machine into, and image object is extracted in the differential analysis of at first using the feature of moving image to carry out adjacent image then, and computed image clarification of objective parameter is carried out type identification then.The choosing of characteristic parameter is based upon on the theoretical and basis based on the theory of the degeneration invariant in standard diagram storehouse of image degradation.Detailed process is some images of selection standard spectrum library at first, and the utilization degradation model is handled the variation characteristic of all kinds of parameters of counter, comprise various geometric parameters, structural parameters, form parameter (Fu Shi parameter), color parameter, the shade of gray parameter, the square parameter, entropy and branch shape parameter etc. are chosen the parameter that image degradation is had unchangeability then, consider susceptibility, discrimination and the redundance of parameter simultaneously, set up the characteristic parameter system of classification of pollutant classification of pollutant.
Consider in the microscopic observation system that causing image blurring reason mainly is the motion of pollutant and the restriction of the object lens depth of field, the image degradation model that adopts in the reason process is as follows herein:
f(x，y)＝h1(x，y)*h2(x，y)*g(x，y)+n(x，y)
Wherein g (x y) represents ideal image, f (x y) represents real image, h1 (x, y) and h2 (x, the y) point spread function of representative motion and out of focus generation, n (x, y) random noise of representative system.H1 in this system (x, y) and h2 (x y) has following form:
Wherein R represents the disperse radius of a circle that the out of focus distortion produces, and a represents the length of motion blur.
5. about the classification of pollutant.The nonferromagnetic pollutant can be dependent on concrete mechanical system classifies, and classifies according to abrasion mechanism or material usually.The ferromagnetism pollutant can be divided into normal slip abrasive particle, seriously slide abrasive particle, spherical abrasive particle, tired stripping piece, red oxide abrasive particle and black oxide abrasive particle according to abrasion mechanism usually.The principle of classification of ferromagnetism pollutant as shown in Figure 4.At first the applied statistics analytical approach will be cut abrasive particle with Fu Shi flexibility and two form parameters of Fu Shi concavity and be extracted, and be divided into little abrasive particle and big abrasive particle according to its size with statistical analysis technique then, and the dimension threshold that is used to divide is generally 10 microns.Little abrasive particle mainly is normally slide abrasive particle and spherical abrasive particle; divide this two classes abrasive particle; necessary three geometric parameters of integrated application and five Fu Shi parameters are so need combine the final division of finishing this two classes abrasive particle with statistical analysis technique and D-S evidence decision method.And more complicated in big this classification of abrasive particle; at first use according to color parameter and mark off red oxide abrasive particle and black oxide abrasive particle; and then application BP neural network recognition method; remaining abrasive particle is divided into serious slip abrasive particle, tired stripping piece abrasive particle two classes, has finished the comprehensive identification process of abrasive particle.
Claims (5)
1, a kind of oil contaminant comprehensive detection system, comprise the fluid sampling system of forming by micro pump (1), kapillary (2), sensor (3), oil return pond (4), the microscopic system of forming by microscope (5), reflection source (6), transmitted light source (7), the image acquisition analytic system of forming by camera (8), image card (9), computing machine (10), and permanent magnet (11) part, it is characterized in that:
Described sensor (3) is formed by substrate (12) and cover plate (13) two parts bonding, and be etched with on the substrate (12) by total runner (14), the integral body that first runner (15) and second runner (16) are formed is the microchannel of Y type, and total runner (14), first runner (15) and second runner (16) intersection are sedimentary province (17), sedimentary province (17) middle part is drilled with aperture and the draw point of the downward conducting that bonds forms cinder cleaning hole (18), upward be provided with one at cover plate (13) and be bonded with the upwards oil supply hole (19) of the draw point of conducting with total runner (14) end position corresponding position, go up with first runner (15) end position with second runner (16) end position is corresponding at cover plate (13) and to be drilled with the draw point that aperture is bonded with upwards conducting respectively and to form first oil outlet (20) and second oil outlet (21); Permanent magnet (11) places the side of sensor and is close to sensor near sedimentary province (17), and described side is second runner (a 15) outer side edges.
2, utilize the described oil contaminant comprehensive detection system of claim 1, carry out the method for oil contaminant comprehensive detection, be applicable to the total pollutant levels of fluid that detect under each size section, it is characterized in that may further comprise the steps:
Utilize micro pump that oil sample is sent in the sensor of the described Y of having type microtube structure when a, detection, choose the image of G1 point for pollutant in the observation station collection fluid in the oil sample process of flowing, wherein the G1 point is positioned at total runner middle part;
B, the image of G1 point oil contaminant is carried out analytical calculation: calculate the active volume of the fluid that every two field picture comprises earlier, calculate gross contamination substrate concentration M in each size section according to size, the quantity of contaminant particle again.
3, utilize the described oil contaminant comprehensive detection system of claim 1, carry out the method for oil contaminant comprehensive detection, be applicable to the concentration of nonferromagnetic pollutant in the detection of contamination, be characterised in that may further comprise the steps:
Utilize micro pump that oil sample is sent in the sensor of the described Y of having type microtube structure when a, detection, choosing G2 in the oil sample process of flowing is the image that observation station is gathered pollutant in the fluid, and wherein the G2 point is positioned at first runner middle part;
B, the image of G2 point oil contaminant is analyzed: calculate the fluid active volume that every two field picture comprises earlier, according to the characteristics of image parameter nonferromagnetic pollutant is divided into the n class again, calculate the concentration under each classification at last, establish N2={N2
1, N2
2..., N2
n.
4, according to the method for the described oil contaminant comprehensive detection of claim 3, it is characterized in that may further comprise the steps: choose the image of G3 point for pollutant in the observation station collection fluid in the oil sample process of flowing, wherein the G3 point is positioned at second runner middle part; The image of G3 point oil contaminant is carried out analytical calculation try to achieve the nonferromagnetic pollutant levels, should be less than the G2 point data; With above data the data of the first runner G2 observation point are carried out verification.
5, utilize the described oil contaminant comprehensive detection system of claim 1, carry out the method for oil contaminant comprehensive detection, be applicable to the concentration of ferromagnetism pollutant in the detection of contamination, it is characterized in that may further comprise the steps:
Utilize micro pump oil sample to be sent in the sensor of the described Y of having type microtube structure when a, detection, in the oil sample process of flowing, choose 2 images of gathering pollutant in the fluid for observation station of G1, G2 respectively, wherein the G1 point is positioned at total runner middle part, and the G2 point is positioned at first runner middle part;
B, the image of G1 point oil contaminant is carried out analytical calculation: calculate the fluid active volume that every two field picture comprises earlier, by wearing and tearing mechanism pollutant is divided into the m class according to the characteristics of image parameter again and calculates pollutant levels M1={M1 under each classification
1, M1
2... .., M1
m;
C, the image of G2 point oil contaminant is carried out analytical calculation: calculate the fluid active volume that every two field picture comprises earlier, by wearing and tearing mechanism pollutant is divided into the m class according to the characteristics of image parameter again, calculate the pollutant levels M2={M2 under each classification
1, M2
2..., M2
m;
The concentration of ferromagnetism pollutant in d, the calculating fluid:
M3＝M1-M2＝{M1
1-M2
1，M1
2-M2
2，.......，M1
m-M2
m}。
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNB2007100235789A CN100567950C (en) | 2007-06-08 | 2007-06-08 | Oil contaminant comprehensive detection system and detection method |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNB2007100235789A CN100567950C (en) | 2007-06-08 | 2007-06-08 | Oil contaminant comprehensive detection system and detection method |
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| Publication Number | Publication Date |
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| CN101093191A true CN101093191A (en) | 2007-12-26 |
| CN100567950C CN100567950C (en) | 2009-12-09 |
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| CNB2007100235789A Expired - Fee Related CN100567950C (en) | 2007-06-08 | 2007-06-08 | Oil contaminant comprehensive detection system and detection method |
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-
2007
- 2007-06-08 CN CNB2007100235789A patent/CN100567950C/en not_active Expired - Fee Related
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