CN109241851A - A kind of the Oil Leakage Detecting method and its system of view-based access control model image - Google Patents
A kind of the Oil Leakage Detecting method and its system of view-based access control model image Download PDFInfo
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- CN109241851A CN109241851A CN201810893779.2A CN201810893779A CN109241851A CN 109241851 A CN109241851 A CN 109241851A CN 201810893779 A CN201810893779 A CN 201810893779A CN 109241851 A CN109241851 A CN 109241851A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
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Abstract
The present invention relates to a kind of Oil Leakage Detecting method and system of view-based access control model image, wherein detection method includes the following steps: S1, obtaining monitoring image；S2, area-of-interest is chosen from the monitoring image；S3, foreground image is extracted from the area-of-interest using frame difference method, judged in the foreground image with the presence or absence of specific connected region；S4, specific connected region corresponding in original image is subjected to HSV format conversion；S5, the specific connected region after HSV is converted is compared with the HSV threshold value of setting, if the threshold value of specific connected region is greater than the threshold value of setting, carries out oil leakage alarm, otherwise, carry out frame difference detection next time.Detection method and system of the invention can preferably be suitable for carrying out more efficient Oil Leakage Detecting to oil field operation region, and detection accuracy and high stability, testing cost are lower.
Description
Technical field
The present invention relates to Oil Leakage Detecting technical fields, and in particular to can be used for Oilfield Operation District Oil Leakage Detecting method and its
Detection system.
Background technique
Petroleum is the buried fluid mineral in underground, is a kind of important energy.Oil-gas mining is will to be imbedded in subterranean oil
The process that oil and gas in layer etc. comes out from underground mining.Oil gas, can be by being by the mode of underground mining to ground
It is no to be divided into wellbore fluids artificial supplementation energy: self-spray and artificial lift.Artificial lift oil recovery includes: gas-lift production, oil pumping
Machine sucker rod pumping, electric submersible centrifugal pump oil recovery, hydraulic piston pump oil recovery and jet injector oil production etc..In the petroleum to land
During being exploited, petroleum is drained into Fuel Tanking Unit after pumping unit is extracted into earth's surface by the petroleum pipeline of connection.So
And during the oil pumping operation of Oilfield Operation District, it also often will appear oil accident.Therefore, it is necessary to Oilfield Operation District into
The real-time oil leak monitoring of row.Currently, generalling use artificial periodically inspection, labor intensive, higher cost.
Summary of the invention
It is an object of the present invention to aiming at the defects existing in the prior art, provide a kind of detection efficiency compared with
Height, the Oil Leakage Detecting method and its detection system of lower-cost view-based access control model image detection.
Present invention technical solution used for the above purpose is:
A kind of Oil Leakage Detecting method of view-based access control model image, comprising the following steps:
S1, monitoring image is obtained；
S2, area-of-interest is chosen from the monitoring image；
S3, foreground image is extracted from the area-of-interest using frame difference method, judge in the foreground image whether
There are specific connected regions；
S4, specific connected region corresponding in original image is subjected to HSV format conversion；
S5, the specific connected region after HSV is converted is compared with the HSV threshold value of setting, if specific connected region
Threshold value be greater than setting threshold value, then carry out oil leakage alarm, otherwise, carry out next time frame difference detection.
It preferably, is raising detection efficiency, in the step S2, to be set at the incubator position of oil well oil outlet
As area-of-interest, alternatively, choosing the lower half portion of monitoring image as area-of-interest.
Preferably, in step S3, the specific connected region refers to that being identified as may be the connected region as caused by oil leak
Domain.
Preferably, when large-scale light varience occurs in acquired monitoring image, prospect is being carried out using frame difference method
Without the update of background image when image zooming-out.
Preferably, the step S3 further includes determining current weather conditions, determines that current weather is fine day or yin
It, and corresponding specific connected component analysis determination strategy is selected according to identified weather condition.
Preferably, when being determined as fine day, the analytical judgment strategy to the specific connected region includes: to establish to be monitored
Shadow model of object under the conditions of natural lighting in region analyzes and determines the connected region detected in foreground image and yin
Whether the shadow character in shadow model matches, if matching, then it is assumed that the connected region is not belonging to specific connected region, by the connection
Region carries out ignoring processing；
The shadow model include the shadow character that is generated under the conditions of natural lighting of the object in monitored region at any time
Between variation relation.
Also a kind of Oil Leakage Detecting system of view-based access control model image of the present invention, comprising:
Image acquisition unit, for obtaining monitoring image；
Image processing unit, for extracting foreground image from the area-of-interest of monitoring image using frame difference method, and
Judge in the foreground image with the presence or absence of specific connected region；
Analysis and processing unit, for specific connected region corresponding in original image to be carried out HSV format conversion, and will be through
Specific connected region after HSV conversion is compared judgement with the HSV threshold value of setting, sets if the threshold value of specific connected region is greater than
Fixed threshold value, then be determined as oil leak.
Preferably, the detection system further includes nature shadow model database, the nature shadow model database packet
It includes the shadow character that the object in monitored region generates under the conditions of natural lighting to change with time regular data, at image
Whether reason unit analyzes and determines the shadow character in the connected region detected in foreground image and natural shadow model database
Matching, if matching, then it is assumed that the connected region is not belonging to specific connected region, which is carried out to ignore processing.
Preferably, the detection system further includes alarm unit, when analysis and processing unit is determined as oil leak, triggering alarm
Unit is alarmed, meanwhile, the video image in 10-15s before and after the oil leakage alarm of interception is sent by wireless transmission unit
To monitor terminal, monitor terminal is provided and is further judged.
Compared with the existing technology, the beneficial effects of the present invention are embodied in:
(1) the Oil Leakage Detecting method and system of view-based access control model image detection are used, detection efficiency is higher, is advantageously implemented remote
Range monitoring reduces monitoring cost；
(2) Oil Leakage Detecting method and system of the invention has strong anti-interference ability, and improves the standard of Oil Leakage Detecting
True property and stability.
Detailed description of the invention
Fig. 1 is the flow diagram of the Oil Leakage Detecting method of the embodiment of the present invention；
Fig. 2 is the block diagram of the Oil Leakage Detecting system of the embodiment of the present invention.
Specific embodiment
Below in conjunction with the drawings and specific embodiments, Oil Leakage Detecting method of the invention and detection system are made further
Illustrate explanation.It should be noted that the drawings and specific embodiments provided by the present invention can not be constituted to embodiment party of the present invention
The concrete restriction of case.
Refering to fig. 1 shown in -2, the present invention provides following examples.
A kind of Oil Leakage Detecting method of view-based access control model image, comprising the following steps:
S1, monitoring image is obtained；
S2, area-of-interest is chosen from the monitoring image；
S3, foreground image is extracted from the area-of-interest using frame difference method, judge in the foreground image whether
There are specific connected regions；
S4, specific connected region corresponding in original image is subjected to HSV format conversion；
S5, the specific connected region after HSV is converted is compared with the HSV threshold value of setting, if specific connected region
Threshold value be greater than setting threshold value, then carry out oil leakage alarm, otherwise, carry out next time frame difference detection.
Preferably, for raising detection efficiency, in the step S2, to be set to the incubator position of oil well oil outlet
Place is set as area-of-interest, alternatively, choosing the lower half portion of monitoring image as area-of-interest.Under normal conditions, it uses
It when pumping unit sucker rod pumping, often will appear oil leak at incubator, therefore, will have at incubator position as area-of-interest
Conducive to the timeliness and accuracy for improving Oil Leakage Detecting.In addition, usually further comprising oil field operation in acquired monitoring image
The picture of the activity staff in region and machine equipment of pumping, and when movable personnel and pumping unit work pumping unit horsehead it is upper
Lower movement can interfere the extraction of foreground image, thus situations such as being easy to appear error detection, false alarm.Therefore, it will protect
As the disturbing factor of area-of-interest high degree reduced to Oil Leakage Detecting at incubator position, Oil Leakage Detecting is improved
Stability and veracity.Further, the case where being not provided with incubator, then the lower half of monitoring image can be allocated as
For the area-of-interest, to exclude the interference in monitoring image from the farther away top half of oil well.
Frame difference method is also known as frame differential method, is that fast and accurately moving object detection algorithm, principle are selections one to one kind
Adjacent two frame or multi-frame video image carry out time difference processing in the section time, to obtain motion target area.Specifically, just
It is first to subtract each other the pixel of two field pictures to obtain difference image, then carry out binary conversion treatment to difference image, if after processing
The pixel value of image-region varies less, and is less than the threshold value of setting, then the region is background image；Conversely, pixel value becomes
Changing biggish image-region may be that foreground image then is regarded as in the region due to caused by the movement of object.In the present invention
Embodiment step S3 in, foreground image, the specific connected region are extracted from the area-of-interest using frame difference method
Domain refers to that being identified as may be the connected region as caused by oil leak.It, will be adjacent in view of the oil leak feature of oil well oil outlet
The two field pictures of 300 frames carry out difference processing.
It further, may include nonspecific connected region in foreground image, for example, the movable people in oil field operation region
Cast shadow etc. caused by pumping unit at member and oil well.The connected region of activity staff is since it is with specific shape
The difference of state, the features such as the form for the specific connected region that feature and the oil leak of connected region are formed and distribution is more bright
It is aobvious, therefore be easier to be distinguished.And for shade to the specific interference for being connected to detection judgement, the solution of proposition of the embodiment of the present invention
Certainly scheme are as follows: further include that current weather conditions are determined in the step S3, determine that current weather is fine day or yin
It, and corresponding specific connected component analysis determination strategy is selected according to identified weather condition.Preferably, fine when being determined as
It when, the analytical judgment strategy to the specific connected region includes: the object established in monitored region in natural lighting item
Shadow model under part, analyze and determine shadow character in foreground image in the connected region and shadow model that detect whether
Match, if matching, then it is assumed that the connected region is not belonging to specific connected region, which is carried out to ignore processing；The yin
Shadow model include the shadow character that is generated under the conditions of natural lighting (solar irradiation) of the object in monitored region at any time
Variation relation.Preferably, the shadow model includes pumping unit (the especially horse head portion of pumping unit at oil well
Point) feature of generated shade changes over time under solar irradiation regular data.The practice processes of the program are,
In the case that geographical location information (including latitude and longitude information) is certain, a certain certain objects (the i.e. form in the geographical location
Change it is substantially stationary, for example, the pumping unit in the present embodiment) in natural lighting condition, the form of generated shade (including
General shape, area and the relative positional relationship between the certain objects) with time (including season information and specific
Time point) there is certain corresponding relationship.That is, the pumping unit in oil field operation region exists for specific to the present embodiment
The a certain specific moment, its generated shade form under the conditions of natural lighting was foreseeable.As a result, in combination with shade mould
Type judges whether a certain connected region in foreground image at oil well is the connected region of shade, to exclude shade connection
The interference in region improves the accuracy to the detection judgement of specific connected region.
It is as one preferred, in the step S3, the strategy that current weather conditions are determined are as follows: from acquired
Monitoring image in extract fixed reference region, analyze and determine fixed reference region whether include fixed reference yin
Shadow includes shade, is then determined as fine day, is otherwise determined as the cloudy day.Specifically, the fixed reference can be established in natural lighting
Under the conditions of the shadow character that generates (contain the relative position between the morphological feature and shade and fixed reference of shade
Relationship) change with time relation data, and whether include the pixel that characterizes shade, if not wrapping if detecting in fixed reference region
Contain, be then determined as the cloudy day, if comprising being determined as fine day.Specifically, being changed with time relationship number by the shadow character
According to determine the band of position for carrying out shadow Detection in fixed reference region.One kind is specifically, the fixed reference can
The fixed object of the form for being fixedly installed on oil field operation region is thought, for example, being erected in the straight-bar on ground.
Preferably, the frame carried out next time is poor when specific connected region being not detected in step S3, in foreground image
Detection.It is as one preferred, when detect in foreground image there are other than specific connected region other connected regions (such as
Movable personnel in oil field operation region) when, the background frames image not detected using current frame image as frame difference next time, but
The background image that the background image of frame difference detection in the past is detected as frame difference next time.Thus, it is possible to a certain extent,
Reduce the calculation amount that the post analysis of frame difference detection next time judges specific connected region.
Preferably, being carried out when large-scale light varience occurs in acquired monitoring image using frame difference method
Update when foreground image extracts without background image.The background frames not detected using current frame image as frame difference next time
Image, but the background image that the background image of former frame difference detection is detected as frame difference next time.The a wide range of light
Degree variation refers to that the brightness of monitoring picture has greatly changed, for example, when oil field operation region overhead has cloud layer to sail,
The shade of cloud layer covers entire oil leak monitoring region, and the brightness so as to cause acquired monitoring image is dimmed on a large scale,
Further can the judgement of foreground extraction and specific connected region to area-of-interest cause certain interference.Work as prison as a result,
When large-scale light varience occurs in altimetric image, background image is not updated, helps to eliminate and be brought because of a wide range of light varience
Disturbing factor.
It should be noted that specific connected region corresponding in original image is carried out HSV (HSV in step S4, S5
Color space) format conversion, it is generally the case that acquired monitoring image is RGB expression format, is translated into HSV format
Afterwards, be conducive to more accurate judge whether the specific connected region is oil leak region.By specific connected region and setting
HSV threshold value when being compared, be the setting ginseng of the HSV threshold value using HSV threshold value corresponding to petroleum image as the setting
It examines, if the HSV threshold value of specific connected region is greater than the HSV threshold value of setting, shows that the specific connected region is caused by oil leak
Connected region, to carry out oil leakage alarm；It is on the contrary, then it is assumed that not occur oil leak situation, to carry out frame difference detection next time.
Also a kind of Oil Leakage Detecting system of view-based access control model image of the present invention, comprising:
Image acquisition unit, for obtaining monitoring image；
Image processing unit, for extracting foreground image from the area-of-interest of monitoring image using frame difference method, and
Judge in the foreground image with the presence or absence of specific connected region；
Analysis and processing unit, for specific connected region corresponding in original image to be carried out HSV format conversion, and will be through
Specific connected region after HSV conversion is compared judgement with the HSV threshold value of setting, sets if the threshold value of specific connected region is greater than
Fixed threshold value, then be determined as oil leak.
Further, the detection system further includes nature shadow model database, the nature shadow model database
It changes with time regular data including the shadow character that the object in monitored region generates under the conditions of natural lighting, image
Processing unit analyzes and determines that the connected region detected in foreground image is with the shadow character in natural shadow model database
No matching, if matching, then it is assumed that the connected region is not belonging to specific connected region, which is carried out to ignore processing.Make
To be preferred, the nature shadow model database includes the pumping unit (the especially horse head part of pumping unit) at oil well
The regular data that the feature of generated shade changes over time under solar irradiation.
As one preferred, described image processing unit also extracts fixed reference from acquired monitoring image
Region, and analyze and determine fixed reference region whether include fixed reference shade, include shade, then be determined as fine day,
Otherwise it is determined as the cloudy day.Specifically, being also stored with the fixed reference in natural light in the nature shadow model database
The shadow character generated according under the conditions of changes with time relation data.Image processing unit detects in fixed reference region
The no pixel comprising characterization shade is determined as the cloudy day if not including, if comprising being determined as fine day.Further, image
Processing unit can be by calling shadow character of the fixed reference stored in nature shadow model database under the corresponding time
Data (contain the relative positional relationship between the morphological feature and shade and fixed reference of shade), to determine solid
The fixed band of position referring to progress shadow Detection in object area.One kind is specifically, the fixed reference can be fixed setting
In the object that the form in oil field operation region is fixed, for example, being erected in the straight-bar on ground.
Preferably, further including alarm unit, when analysis and processing unit is determined as oil leak, triggering alarm unit is carried out
Alarm, meanwhile, the video image in 10-15s before and after the oil leakage alarm of interception is sent to eventually by monitoring by wireless transmission unit
End, provides monitor terminal and is further judged.
In the description of the embodiment of the present invention, it is to be understood that "-" and "~" indicated is that two values are same
Range, and the range includes endpoint.Such as: " A-B " indicates to be greater than or equal to A, and is less than or equal to the range of B." A~B "
It indicates to be greater than or equal to A, and is less than or equal to the range of B.
In the description of the embodiment of the present invention, the terms "and/or", only it is a kind of describe affiliated partner pass
Connection relationship indicates may exist three kinds of relationships, for example, A and/or B, can indicate: individualism A exists simultaneously A and B, individually
There are these three situations of B.In addition, character "/" herein, typicallys represent the relationship that forward-backward correlation object is a kind of "or".
It although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
A variety of variations, modification, replacement can be carried out to these embodiments without departing from the principles and spirit of the present invention by understanding
And modification, the scope of the present invention is defined by the appended.
Claims (10)
1. a kind of Oil Leakage Detecting method of view-based access control model image, which comprises the following steps:
S1, monitoring image is obtained；
S2, area-of-interest is chosen from the monitoring image；
S3, foreground image is extracted from the area-of-interest using frame difference method, judges to whether there is in the foreground image
Specific connected region；
S4, specific connected region corresponding in original image is subjected to HSV format conversion；
S5, the specific connected region after HSV is converted is compared with the HSV threshold value of setting, if the threshold of specific connected region
Value is greater than the threshold value of setting, then carries out oil leakage alarm, otherwise, carries out frame difference detection next time.
2. the Oil Leakage Detecting method of view-based access control model image according to claim 1, it is characterised in that: in the step S2,
To be set at the incubator position of oil well oil outlet as area-of-interest.
3. the Oil Leakage Detecting method of view-based access control model image according to claim 1, which is characterized in that choose monitoring image
Lower half portion is as area-of-interest.
4. the Oil Leakage Detecting method of view-based access control model image according to claim 1, which is characterized in that described in step S3
Specific connected region refers to that being identified as may be the connected region as caused by oil leak.
5. the Oil Leakage Detecting method of view-based access control model image according to claim 3, which is characterized in that when acquired monitoring
When large-scale light varience occurs in image, more without background image when carrying out foreground image extraction using frame difference method
Newly.
6. the Oil Leakage Detecting method of view-based access control model image according to claim 1, it is characterised in that: the step S3 is also wrapped
It includes and current weather conditions is determined, determine that current weather is fine day or cloudy day, and select according to identified weather condition
Corresponding specific connected component analysis determination strategy.
7. the Oil Leakage Detecting method of view-based access control model image according to claim 6, it is characterised in that:
When being determined as fine day, the analytical judgment strategy to the specific connected region includes: the object established in monitored region
Shadow model of body under the conditions of natural lighting analyzes and determines in the connected region and shadow model detected in foreground image
Whether shadow character matches, if matching, then it is assumed that the connected region is not belonging to specific connected region, which is neglected
Slightly handle；
The shadow model include the shadow character that is generated under the conditions of natural lighting of the object in monitored region at any time
Variation relation.
8. a kind of Oil Leakage Detecting system of view-based access control model image characterized by comprising
Image acquisition unit, for obtaining monitoring image；
Image processing unit for extracting foreground image from the area-of-interest of monitoring image using frame difference method, and judges
It whether there is specific connected region in the foreground image；
Analysis and processing unit for specific connected region corresponding in original image to be carried out HSV format conversion, and will turn through HSV
Specific connected region after change is compared judgement with the HSV threshold value of setting, if the threshold value of specific connected region is greater than setting
Threshold value is then determined as oil leak.
9. the Oil Leakage Detecting system of view-based access control model image according to claim 8, which is characterized in that further include nature shade
Model database, the nature shadow model database include that the object in monitored region generates under the conditions of natural lighting
Shadow character changes with time regular data, image processing unit analyze and determine the connected region that is detected in foreground image with
Whether the shadow character in natural shadow model database matches, if matching, then it is assumed that the connected region is not belonging to specific connection
Region carries out the connected region to ignore processing.
10. the Oil Leakage Detecting system of view-based access control model image according to claim 9, which is characterized in that further include that alarm is single
Member, when analysis and processing unit is determined as oil leak, triggering alarm unit is alarmed, meanwhile, it will be cut by wireless transmission unit
Video image before and after the oil leakage alarm taken in 10-15s is sent to monitor terminal, provides monitor terminal and is further sentenced
It is disconnected.
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