CN102680053B - Optical-array-image fuzzy detection method for interfaces of oil, water and emulsion layer in large oil storage tank - Google Patents
Optical-array-image fuzzy detection method for interfaces of oil, water and emulsion layer in large oil storage tank Download PDFInfo
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- CN102680053B CN102680053B CN201210170287.3A CN201210170287A CN102680053B CN 102680053 B CN102680053 B CN 102680053B CN 201210170287 A CN201210170287 A CN 201210170287A CN 102680053 B CN102680053 B CN 102680053B
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 22
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- 238000009413 insulation Methods 0.000 claims description 6
- 238000012545 processing Methods 0.000 claims description 5
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- 238000010586 diagram Methods 0.000 description 2
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- 239000000295 fuel oil Substances 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
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- 230000009286 beneficial effect Effects 0.000 description 1
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- 238000005260 corrosion Methods 0.000 description 1
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Abstract
In order to reduce the detecting errors of a large oil tank and enhance the reliability of the detecting result, the invention discloses an optical-array-image fuzzy detection method for interfaces of oil, water and an emulsion layer in a large oil storage tank. The method comprises the following steps of: isolating and protecting optical fiber array ports by utilizing anticorrosive glass and sleeves; transmitting optical signals remotely by multi-path optical fibers; by liquid isolation in the oil tank, receiving the optical signals by optical fiber arrays, and remotely transmitting the optical signals to an analysis system; receiving optical signals with different intensities by adopting a group of linear arrays CCD, and judging the oil, the water and the emulsion layer by utilizing the optical transmission principle and the transmission difference of different liquid and adopting a fuzzy analysis method. Therefore, the optical-array-image fuzzy detection method disclosed by the invention has the advantages that not only is the visualization of detection realized, but also the direct contact of electric signals and fuel in a large-volume oil tank is avoided, so that the safety of system detection is improved.
Description
Technical field
The Systems for optical inspection that the present invention relates to a kind of oil, water, emulsion layer interface, belongs to optical technology, signal processing technology, is to utilize optical technology, and image processing techniques realizes oil, water, the emulsion layer interface of oil tank and detects.
Background technology
Oil field usually adopts the oil tank of bulkiness to carry out finally separation of profit, makes profit fully separated under the effect of emulsion breaker, then, the water of large tank bottom is discharged; If it is insufficient that water is discharged, the product oil of output can not reach corresponding index request; If product oil is discharged when discharge, will cause economic loss; Therefore, need to accurately detect water-oil interface; Existing method is divided into two classes: a class is the detections such as electric capacity, pressure, magnetic signal, it is to utilize the size of the electric capacity of measured matter integral body to represent the height of liquid level that condenser type detects principle, require environment temperature, humidity is constant and the components unchanged of measured medium itself, under open electric field, electric capacity is subject to such environmental effects larger, and the fluctuation of capacitance value has also just affected the fluctuation of output; Over nearly 10 years, developed optical fiber detecting method, as file 1(" Optical Liquid Level Sensors (under) ", history is for army building etc., the sensor world, the tenth phase, 15 page of the 2nd hurdle the 12nd row of the 14th page of first hurdle the first row to the, 2002) provide and utilize optical signalling to detect liquid level, in container printing opacity situation, realize the detection to water, gas medium interface; File 2(CN101387538A) a kind of linear array CCD transmission type liquid level measuring method and measurement mechanism are disclosed, utilize transmission detect can transmitted ray liquid level; These methods obviously can not detect for oil, water, the emulsion layer interface of large storage tank; In engineering, still working pressure detects and artificial method of estimation at present; Pressure detection method mainly relies on distributed pressure detection method, after converting, obtains water-oil interface; The artificial estimation technique is also used in part oil field, and error is larger; It is that the magnetic flux change that detects wheel hub inter-module causes the output voltage signal of the electromagnetic sensor (Hall element) on internal magnet to change that liquid level magnetic detects principle, its magnitude of voltage is compared with the reference voltage of storage, and adjustment float moves up and down and again reaches equilibrium point; It is that employing infrared light is detection light source that optical fiber detects, and take optical fiber as signal transport vehicle, and using optical fiber sensing probe is detecting unit, for the different qualities of oil and water, utilizes the refraction principle of light, realizes the monitoring of water-oil interface fixed point; Because water-oil interface usually exist the emulsion layer of profit muddiness, said method has Engineering Error, and can not intuitive judgment water-oil interface.
Summary of the invention
In order to reduce the detection error of large oil tank, strengthen the reliability of testing result, the present invention proposes a kind of large storage tank oil, water, the image blurring detection method of emulsion layer interface optical array, the method is utilized Anti-corrosion glass and sleeve insulation blocking fiber array port, by multi-channel optical fibre teletransmission light signal, through the liquid isolation in oil tank again by the teletransmission of fiber array receiving optical signals to analytic system, adopt linear CCD array group can receive different strong and weak light signals, utilize the transmittance difference of optical transmission principle and different liquids, adopt Fuzzy Analysis judgement oil, water, emulsion layer, like this, both realize detect visual, and avoided again electric signal directly to contact with the fuel oil of bulkiness oil tank, improved the security that system detects.
The technical solution adopted for the present invention to solve the technical problems: a kind of large storage tank oil, water, the image blurring detection method of emulsion layer interface optical array, be characterized in comprising the following steps:
1, the light signal process multi-channel optical fibre array remote transmission that light source sends is to detection head position, through the liquid isolation in oil tank, adopt the annular surface that relies on spring rotation to remove brush with cleaning optical fiber insulation surfaces, again by the teletransmission of optical fiber receiving optical signals to acquisition analysis system, acquisition analysis system adopts linear CCD array group can receive different strong and weak light signals and at same this signal of reference altitude continuous acquisition, system principle structural drawing is provided by Fig. 1;
The continuous acquisition signal of the strong and weak light signal of difference 2, linear CCD array group being received carries out standard Fuzzy processing, by the strong and weak graduation of the signal that receives according to linear CCD array group, the position of each signal of linear CCD array group in array, signal power and front reference altitude respective value be record simultaneously;
3, adopt Fuzzy Analysis to analyze:
(a) if same reference altitude continuous acquisition this signal corresponding with certain a line of multi-channel optical fibre array all do not have light signal, this row of multi-channel optical fibre array is in oil reservoir;
(b) if having most light signals and adjacent position also to have continuous light signal in same this signal of reference altitude continuous acquisition corresponding with certain a line of multi-channel optical fibre array, this row of multi-channel optical fibre array is in water layer;
(c) adopt the annular surface that relies on spring rotation to remove to clear up optical fiber insulation surfaces, when same reference altitude continuous acquisition this signal corresponding with certain a line of multi-channel optical fibre array still do not meet (a), (b) two kinds of situations, this row in multi-channel optical fibre array is in emulsion layer;
(d) according to the emulsification intensity grade of emulsion layer, carry out fuzzy classification, same this signal of reference altitude continuous acquisition corresponding to certain a line of multi-channel optical fibre array approaches water layer signal most and is defined as the emulsification fuzzy class that oleaginousness is minimum, and same this signal of reference altitude continuous acquisition corresponding to certain a line of multi-channel optical fibre array approaches oil reservoir signal most and be defined as the emulsification fuzzy class that oleaginousness is the highest.
The invention has the beneficial effects as follows: by visual mode, realize the detection of oil, water, emulsion layer in large storage tank, reduced detect error and avoided electric signal directly to contact with the fuel oil of bulkiness oil tank, improve accuracy and security that system detects, there is application value widely.
accompanying drawing explanation:
Fig. 1 is system principle structural drawing of the present invention;
Fig. 2 is that annular surface of the present invention is removed brush schematic diagram;
Fig. 3 is embodiment schematic diagram.
Embodiment
With reference to Fig. 2, Fig. 3.
1, in inspection center, select a plurality of infrared tubes by wavelength 940nm to form light emitting source array, supply with light source to optical fiber more than 400 cores, pass light optical cable by the long-range large oil tank top that reaches of infrared light, the optical cable that enters large oil tank inside has protective casing, pass the optical cable head of light at fixed test port, the other end that detects mouth is that fixing signal receives biography light optical cable port, two ports have anticorrosion glass protection, two rely on detection head and fix, port directly to and have the gap of 5-30 millimeter, depending on detected liquid as medium; Signal receives and passes light optical cable by the long-range inspection center that reaches of infrared light through projection, the passback optical cable port cloth of inspection center becomes one group of array, every group is carried out opto-electronic conversion by a line array CCD, acquisition analysis system adopts linear CCD array group can receive different strong and weak light signals and directly be scanned and read this signal of continuous acquisition by DSP2407 at same reference altitude, then leave in EEPROM, during detection, employing is the strategy to top by bottom, and the gap of two port anticorrosion glass arranges configuration spring annular cleaning brush and carries out surface removing;
The continuous acquisition signal of the strong and weak light signal of difference 2, linear CCD array group being received carries out standard Fuzzy processing, by the strong and weak graduation of the signal that receives according to linear CCD array group, the position of each signal of linear CCD array group in array, signal power and front reference altitude respective value be record simultaneously;
3, adopt Fuzzy Analysis to analyze:
(a) if same reference altitude continuous acquisition this signal corresponding with certain a line of multi-channel optical fibre array all do not have light signal, this row of multi-channel optical fibre array is in oil reservoir;
(b) if having most light signals and adjacent position also to have continuous light signal and be greater than emulsification gap in same this signal of reference altitude continuous acquisition corresponding with certain a line of multi-channel optical fibre array, this row of multi-channel optical fibre array is in water layer;
(c) adopt the annular surface that relies on spring rotation to remove to clear up optical fiber insulation surfaces, when same reference altitude continuous acquisition this signal corresponding with certain a line of multi-channel optical fibre array still do not meet (a), (b) two kinds of situations, this row in multi-channel optical fibre array is in emulsion layer;
(d) according to the emulsification intensity grade of emulsion layer, carry out minimum, inferior low, medium, inferior high, the highest 5 fuzzy classifications, this signal of same reference altitude continuous acquisition corresponding to certain a line of multi-channel optical fibre array more than 90% approaches water layer signal and is defined as the emulsification fuzzy class that oleaginousness is minimum, and this signal of same reference altitude continuous acquisition corresponding to certain a line of multi-channel optical fibre array more than 90% approaches oil reservoir signal and be defined as the emulsification fuzzy class that oleaginousness is the highest.
Claims (1)
1. large storage tank oil, water, the image blurring detection method of emulsion layer interface optical array, be characterized in comprising the following steps:
1) the light signal process multi-channel optical fibre array remote transmission that light source sends is to detection head position, through the liquid isolation in oil tank, adopt the annular surface that relies on spring rotation to remove brush with cleaning optical fiber insulation surfaces, again by the teletransmission of optical fiber receiving optical signals to acquisition analysis system, acquisition analysis system adopts linear CCD array group can receive different strong and weak light signals and at same this signal of reference altitude continuous acquisition;
2) the continuous acquisition signal of the strong and weak light signal of difference linear CCD array group being received carries out standard Fuzzy processing, by the strong and weak graduation of the signal that receives according to linear CCD array group, the position of each signal of linear CCD array group in array, signal power and front reference altitude respective value be record simultaneously;
3) adopt Fuzzy Analysis to analyze:
(a) if same reference altitude continuous acquisition this signal corresponding with certain a line of multi-channel optical fibre array all do not have light signal, this row of multi-channel optical fibre array is in oil reservoir;
(b) if having most light signals and adjacent position also to have continuous light signal in same this signal of reference altitude continuous acquisition corresponding with certain a line of multi-channel optical fibre array, this row of multi-channel optical fibre array is in water layer;
(c) adopt the annular surface that relies on spring rotation to remove brush with cleaning optical fiber insulation surfaces, when same reference altitude continuous acquisition this signal corresponding with certain a line of multi-channel optical fibre array still do not meet (a), (b) two kinds of situations, this row in multi-channel optical fibre array is in emulsion layer;
(d) according to the emulsification intensity grade of emulsion layer, carry out fuzzy classification, same this signal of reference altitude continuous acquisition corresponding to certain a line of multi-channel optical fibre array approaches water layer signal most and is defined as the emulsification fuzzy class that oleaginousness is minimum, and same this signal of reference altitude continuous acquisition corresponding to certain a line of multi-channel optical fibre array approaches oil reservoir signal most and be defined as the emulsification fuzzy class that oleaginousness is the highest.
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CN111965336A (en) * | 2020-08-21 | 2020-11-20 | 浙江浙能技术研究院有限公司 | Device and method for automatically measuring demulsification degree of oil product |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2000241229A (en) * | 1999-02-18 | 2000-09-08 | Moritex Corp | Interface position detecting apparatus and method |
CN1366608A (en) * | 2000-02-03 | 2002-08-28 | 三得利株式会社 | Method and device for imaging liquid-filled container |
CN102052953A (en) * | 2009-11-02 | 2011-05-11 | 西安费斯达自动化工程有限公司 | Optical array image detecting system of oil, water and emulsifying layer interface of oil tank |
CN102095473A (en) * | 2010-12-26 | 2011-06-15 | 河海大学常州校区 | Transmission type photoelectric liquid level meter |
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Publication number | Priority date | Publication date | Assignee | Title |
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JP2000241229A (en) * | 1999-02-18 | 2000-09-08 | Moritex Corp | Interface position detecting apparatus and method |
CN1366608A (en) * | 2000-02-03 | 2002-08-28 | 三得利株式会社 | Method and device for imaging liquid-filled container |
CN102052953A (en) * | 2009-11-02 | 2011-05-11 | 西安费斯达自动化工程有限公司 | Optical array image detecting system of oil, water and emulsifying layer interface of oil tank |
CN102095473A (en) * | 2010-12-26 | 2011-06-15 | 河海大学常州校区 | Transmission type photoelectric liquid level meter |
Non-Patent Citations (4)
Title |
---|
光学液位传感器(下);史建军等;《传感器世界》;20021031(第10期);第14-15页 * |
光纤油水界面监控仪研制与应用;彭勇等;《仪器仪表学报》;20050831;第26卷(第8期);第857-859页 * |
史建军等.光学液位传感器(下).《传感器世界》.2002,(第10期), |
彭勇等.光纤油水界面监控仪研制与应用.《仪器仪表学报》.2005,第26卷(第8期), |
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