CN111982415A - Pipeline leakage detection method and device - Google Patents
Pipeline leakage detection method and device Download PDFInfo
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- CN111982415A CN111982415A CN201910439236.8A CN201910439236A CN111982415A CN 111982415 A CN111982415 A CN 111982415A CN 201910439236 A CN201910439236 A CN 201910439236A CN 111982415 A CN111982415 A CN 111982415A
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- G01M3/00—Investigating fluid-tightness of structures
- G01M3/02—Investigating fluid-tightness of structures by using fluid or vacuum
- G01M3/04—Investigating fluid-tightness of structures by using fluid or vacuum by detecting the presence of fluid at the leakage point
- G01M3/20—Investigating fluid-tightness of structures by using fluid or vacuum by detecting the presence of fluid at the leakage point using special tracer materials, e.g. dye, fluorescent material, radioactive material
- G01M3/22—Investigating fluid-tightness of structures by using fluid or vacuum by detecting the presence of fluid at the leakage point using special tracer materials, e.g. dye, fluorescent material, radioactive material for pipes, cables or tubes; for pipe joints or seals; for valves; for welds; for containers, e.g. radiators
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Abstract
The embodiment of the invention provides a pipeline leakage detection method and device. The method comprises the following steps: when the ball machine is driven by the holder to be at one of the preset points, shooting a monitoring scene to obtain a monitoring picture; taking an image in the area where the pipeline to be detected is located, which is calibrated aiming at the preset point, in the monitoring picture as a first image; determining the confidence coefficient that the color of the first image is a preset abnormal color; and if the confidence coefficient is larger than a preset confidence coefficient threshold value, determining that the pipeline to be detected is leaked. Can be through waiting to detect the coating that the pipeline surface application can react with the chemicals and discolour for can be through having the integration ball machine of scanning function of cruising to the colour of waiting to detect the pipeline and discern, confirm to detect whether the pipeline takes place to leak, can carry out real-time detection to the leakage condition of pipeline.
Description
Technical Field
The invention relates to the technical field of machine vision, in particular to a pipeline leakage detection method and device.
Background
Some pipelines used for transporting chemicals may be hazardous to nearby equipment and personnel after leaking. In order to find out leakage of the pipeline in time, measures are taken as early as possible. In the correlation technique, can be waiting to detect the sound pick-up head that the control scene of pipeline was made by magnetic material including to pass to the sound transmission that equipment was gathered the sound pick-up head to the ear muff of making an uproar that falls through sound, monitor the sound of the control scene that the sound pick-up head was gathered through the ear muff of making an uproar that falls by the control personnel, whether take place to leak in order to judge to detect the pipeline.
However, the method requires manual judgment by monitoring personnel, and is difficult to detect the leakage condition of the pipeline in real time.
Disclosure of Invention
The embodiment of the invention aims to provide a method and a device for detecting pipeline leakage so as to realize real-time detection of the leakage condition of a pipeline. The specific technical scheme is as follows:
in a first aspect of the embodiments of the present invention, a method for detecting a pipeline leakage is provided, where the method is applied to a ball machine, a preset point sequence is preset for the ball machine, the preset point sequence includes a plurality of preset points, and an area where a pipeline to be detected is located is marked for each preset point, the ball machine is provided with a cradle head, and the cradle head is used to drive the ball machine to perform cruise scanning on the plurality of preset points, and the method includes:
when the ball machine is driven by the holder to be at one of the preset points, shooting a monitoring scene to obtain a monitoring picture;
taking an image in an area where the to-be-detected pipeline is located, which is calibrated by aiming at the preset point, in the monitoring picture as a first image, coating an industrial coating on the outer surface of the to-be-detected pipeline, wherein the industrial coating changes color when reacting with a chemical product conveyed by the to-be-detected pipeline;
Determining the confidence coefficient that the color of the first image is a preset abnormal color;
and if the confidence coefficient is larger than a preset confidence coefficient threshold value, determining that the pipeline to be detected leaks.
With reference to the first aspect, in a first possible implementation manner, the determining the confidence that the color of the first image is the preset abnormal color includes:
mapping the color of the first image to a hue-saturation-value (HSV) color space to obtain a color component of the first image;
determining the proportion of preset abnormal colors in the color components;
based on the proportion, calculating the confidence coefficient that the color of the first image is a preset abnormal color, wherein the confidence coefficient is positively correlated with the proportion.
With reference to the first aspect, in a second possible implementation manner, after the determining that the pipe to be detected leaks, the method further includes:
and adding a screen to the code stream of the first image to directly display OSD information aiming at the first image, wherein the OSD information is used for indicating that the pipeline to be detected leaks.
With reference to the second possible implementation manner of the first aspect, in a third possible implementation manner, the OSD information is further used to indicate the confidence level.
With reference to the first aspect, in a fourth possible implementation manner, the determining the confidence that the color of the first image is the preset abnormal color includes:
and determining the confidence that the average color of the first image in a preset time period is a preset abnormal color.
With reference to the first aspect, in a fifth possible implementation manner, the method further includes:
and when the time length of the ball machine at the preset point reaches a time length threshold value, moving to a preset point positioned next to the preset point in the preset point sequence.
With reference to the fifth possible implementation manner of the first aspect, in a sixth possible implementation manner, the method further includes:
aiming at each preset point in the preset point sequence, moving to the preset point in advance and shooting a monitoring scene to obtain a preview picture;
sending the preview to a preset terminal;
receiving a confidence threshold value fed back by the preset terminal aiming at the monitoring picture, and taking the confidence threshold value as the confidence threshold value of the preset point;
if the confidence coefficient is greater than a preset confidence coefficient threshold value, determining that the pipeline to be detected leaks, including:
and if the confidence coefficient is greater than the confidence coefficient threshold value of the preset point where the ball machine is located, determining that the pipeline to be detected leaks.
With reference to the fifth possible implementation manner of the first aspect, in a seventh possible implementation manner, before the moving to the preset point next to the preset point in the preset point sequence when the duration that the ball machine is at the preset point reaches a duration threshold, the method further includes:
and if the color of the first image changes, increasing a time length threshold value.
In a second aspect of the embodiments of the present invention, there is provided a pipeline leakage detection apparatus, where the method is applied to a ball machine, a preset point sequence is preset for the ball machine, the preset point sequence includes a plurality of preset points, and an area where a pipeline to be detected is located is marked for each preset point, the ball machine is provided with a cradle head, and the cradle head is used to drive the ball machine to perform cruise scanning on the plurality of preset points, and the apparatus includes:
the image acquisition module is used for shooting a monitoring scene when the ball machine is driven by the tripod head to be at one of the preset points to obtain a monitoring picture;
the area determining module is used for taking an image in an area where the to-be-detected pipeline is located, which is calibrated by aiming at the preset point, in the monitoring picture as a first image, coating industrial paint on the outer surface of the to-be-detected pipeline, and changing color when the industrial paint reacts with chemical products conveyed by the to-be-detected pipeline;
The color detection module is used for determining the confidence coefficient that the color of the first image is the preset abnormal color; and if the confidence coefficient is larger than a preset confidence coefficient threshold value, determining that the pipeline to be detected leaks.
With reference to the second aspect, in a first possible implementation manner, the color detection module is specifically configured to map the color of the first image to a hue-saturation-value HSV color space, so as to obtain a color component of the first image;
determining the proportion of preset abnormal colors in the color components;
based on the proportion, calculating the confidence coefficient that the color of the first image is a preset abnormal color, wherein the confidence coefficient is positively correlated with the proportion.
With reference to the second aspect, in a second possible implementation manner, the apparatus further includes a subtitle adding module, configured to add, after it is determined that the pipeline to be detected leaks, OSD information for directly displaying an OSD on a screen in a code stream to which the first image belongs, where the OSD information is used to indicate that the pipeline to be detected leaks, after it is determined that the pipeline to be detected leaks.
With reference to the second possible implementation manner of the second aspect, in a third possible implementation manner, the OSD information is further used to indicate the confidence level.
With reference to the second aspect, in a fourth possible implementation manner, the color detection module is specifically configured to determine a confidence that an average color of the first image in a preset time period is a preset abnormal color.
With reference to the second aspect, in a fifth possible implementation manner, the apparatus further includes a cruise module, configured to control the ball machine to move to a preset point located next to the preset point in the preset point sequence when a duration that the ball machine is located at the preset point reaches a duration threshold.
With reference to the fifth possible implementation manner of the second aspect, in a sixth possible implementation manner, the apparatus further includes a configuration module, configured to control, for each preset point in the preset point sequence, the dome camera to move to the preset point in advance and shoot a monitoring scene, so as to obtain a preview picture;
sending the preview to a preset terminal;
receiving a confidence threshold value fed back by the preset terminal aiming at the monitoring picture, and taking the confidence threshold value as the confidence threshold value of the preset point;
the color detection module is specifically configured to determine that the pipeline to be detected leaks if the confidence is greater than a confidence threshold of a preset point where the dome camera is located.
With reference to the fifth possible implementation manner of the second aspect, in a sixth possible implementation manner, the cruise module is further configured to, when the duration that the ball machine is located at the one preset point reaches the duration threshold value, increase the duration threshold value if the color of the first image changes before moving to a preset point located next to the one preset point in the preset point sequence.
In a third aspect of the embodiments of the present invention, a dome camera is provided, where the dome camera includes an image capture module unit, a pan-tilt PTZ unit, an alarm output interface, a memory, and a processor;
the image acquisition unit is used for acquiring images;
the PTZ unit is used for controlling the PTZ to move so as to drive the ball machine to carry out cruise scanning;
the alarm output interface is used for alarming after the pipeline to be detected is determined to be leaked;
a memory for storing a computer program;
a processor configured to implement the method for detecting a pipe leak according to any one of the first aspect described above when executing a program stored in the memory.
In a fourth aspect of the embodiments of the present invention, there is provided a computer-readable storage medium, in which a computer program is stored, and the computer program, when executed by a processor, implements the pipe leakage detection method according to any one of the first aspect
According to the pipeline leakage detection method and device provided by the embodiment of the invention, the outer surface of the pipeline to be detected is coated with the paint capable of reacting with chemicals to change colors, so that the color of the pipeline to be detected can be identified through the integrated ball machine with the cruise scanning function, whether the pipeline to be detected leaks or not is determined, and the leakage condition of the pipeline can be detected in real time. Of course, not all of the advantages described above need to be achieved at the same time in the practice of any one product or method of the invention.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic flow chart of a method for detecting pipeline leakage according to an embodiment of the present invention;
fig. 2 is a schematic flowchart of a method for detecting pipeline leakage according to an embodiment of the present invention, where the method includes feeding back a result of detecting pipeline leakage through an OSD;
Fig. 3 is a schematic diagram illustrating OSD information displayed in a monitoring frame in the method for detecting pipeline leakage according to the embodiment of the present invention;
FIG. 4 is a schematic flow chart of a pre-calibration and configuration method of a ball machine in the method for detecting a leakage of a pipeline according to an embodiment of the present invention;
fig. 5a is a schematic layout diagram of a pre-configured interface of a ball machine in an uncalibrated area in the method for detecting a pipeline leakage according to the embodiment of the present invention;
fig. 5b is a schematic layout diagram of a pre-configured interface of a ball machine in a calibrated area in the method for detecting a pipeline leakage according to the embodiment of the present invention;
FIG. 6 is a schematic flow chart of a method for detecting a pipeline leakage according to an embodiment of the present invention, in which colors of a first image are analyzed based on an HSV color space;
fig. 7 is a schematic structural diagram of a pipeline leakage detection apparatus according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, fig. 1 is a schematic flow chart of a method for detecting a pipeline leakage according to an embodiment of the present invention, where the method is applied to a ball machine, and the method may include:
s101, when the ball machine is driven by the cloud deck to be located at one of the preset points, shooting a monitoring scene to obtain a monitoring picture.
A preset point sequence is preset for the ball machine, and the preset point sequence comprises a plurality of preset points. The preset point sequence can comprise different numbers of preset points according to actual requirements, wherein each preset point corresponds to one or more pipelines to be detected, namely when the ball machine moves to one preset point, at least one pipeline to be detected exists in the visual field range of the ball machine. And, this ball machine includes the cloud platform, and the cloud platform is used for driving the ball machine and cruises and scans a plurality of preset point sequences. In one possible embodiment, the head may be an omni-directional head, such that the ball machine may detect pipes at various orientations.
And S102, taking the image in the area where the pipeline to be detected is located, which is calibrated aiming at the preset point, in the monitoring picture as a first image.
The outer surface of the pipeline to be detected is coated with industrial paint, and the industrial paint is discolored when reacting with chemical products conveyed by the pipeline to be detected. The industrial coating coated on the outer surface of the pipeline to be detected can be different according to different application scenes.
S103, determining the confidence that the color of the first image is the preset abnormal color.
The preset abnormal color may be different according to different application scenes. For example, if the paint on the outer surface of the pipe to be detected is yellow, the pipe to be detected is used for transporting acidic industrial liquid (such as hydrofluoric acid, sulfonic acid, and the like) with PH (hydrogen ion concentration index) below 3, and if the liquid in the pipe to be detected leaks, the acidic industrial liquid may chemically react with the outer surface of the pipe to be detected, so that the surface of the pipe to be detected becomes red, and therefore, in the application scenario, the red color may be used as the preset abnormal color. For another example, the coating on the outer surface of the pipe to be detected is white, the pipe to be detected is used for transporting alkaline industrial liquid with PH above 10, if the liquid in the pipe to be detected leaks, the alkaline industrial liquid may react with the outer surface of the pipe to be detected, so that the surface of the pipe to be detected becomes blue, and therefore in the application scenario, blue can be used as the preset abnormal color. In some application scenarios, multiple colors may also be preset as the preset abnormal color.
In an alternative embodiment, the color recognition algorithm may be used to perform color recognition on the first image, so as to obtain a confidence that the color of the first image is the preset abnormal color. In some application scenarios, the confidence that the color of the first image is other than the preset abnormal color may also be obtained at the same time. For example, the preset abnormal color includes red and blue, and may be a confidence level that the color of the first image is determined to be red, blue, yellow and white by using a color recognition algorithm.
The color recognition algorithm may be implemented in different ways according to different application scenarios. Illustratively, the confidence that the color of the first image is the preset abnormal color can be obtained by mapping the first image to the color of the first image through an end-to-end neural network. Or classifying the first image based on the color component of the first image to obtain the confidence that the color of the first image is the preset abnormal color.
Further, in an optional embodiment, the first image may be mapped to an HSV color space, a color component of the first image in the HSV color space is obtained, a ratio of a preset abnormal color in the color component is determined, and based on the ratio, a confidence that the color of the first image is the preset abnormal color is calculated, and the confidence is positively correlated with the ratio. Compared with the RGB color space, the color gamut corresponding to different colors in the HSV color space is farther apart, that is, the distance between two different colors in the HSV color space is greater than the distance between the two different colors in the RGB color space, so that different colors can be distinguished more easily in the HSV color space.
The color of the first image may be the color of the first image at a certain time, or may be the average color of the first image in a certain time period. It can be understood that, in some application scenarios, if there is interference in the monitoring scenario, for example, a person may walk around, and at a certain time, the pipeline to be detected may be blocked by the person who walks around, and at this time, the image of the person may be mistakenly taken as the image of the pipeline to be detected, so that the color of the first image is actually the color of the person, but not the color of the pipeline to be detected, and further, the pipeline leakage detection result is inaccurate. For another example, the illumination condition in the monitoring scene may change greatly with time, and the brightness of the first image obtained by shooting is dark at a certain moment due to insufficient light, so that the difference between the color of the first image and the actual color of the pipeline to be detected is large, and further, the pipeline leakage detection result is inaccurate. And the average color of the first image in a certain time period is used as the color of the first image, so that the technical problem can be effectively solved, and the accuracy of the pipeline leakage detection result is improved.
And S104, if the confidence coefficient is greater than a preset confidence coefficient threshold value, determining that the pipeline to be detected leaks.
If the confidence level is greater than the preset confidence level threshold, the color of the first image may be considered an abnormal color. Because the first image is the image of the pipeline to be detected, if the color of the first image is an abnormal color, the color of the pipeline to be detected can be considered as the abnormal color. It can be determined that the pipe to be tested is leaking.
If the confidence is not greater than the confidence threshold, the color of the first image is not considered to be an abnormal color, that is, the color of the pipeline to be detected is considered to be a normal color, so that it can be determined that the pipeline to be detected does not leak.
Select for use this embodiment, can be through waiting to detect the coating that the pipeline surface coating can react with the chemicals and discolour on the one hand for can be through the integration ball machine that has the scanning function of cruising to the colour of waiting to detect the pipeline discerns, confirm to detect whether the pipeline leaks, because whether the pipeline leaks from shooting the image to confirming to detect, whole process is accomplished by the ball machine, need not to transmit data to other equipment, can effectively improve pipeline leakage detection's real-time, consequently can realize carrying out real-time detection to the leakage condition of pipeline.
On the other hand, the cruising scanning of the ball machine can be realized through the cloud deck, so that one ball machine can detect the pipelines to be detected in a plurality of areas, and the pipelines to be detected can be detected for a plurality of times, thereby effectively reducing the requirement of pipeline leakage detection on the computing performance of the ball machine and reducing the computing load brought to the ball machine due to the pipeline leakage detection.
According to different actual requirements, after the pipeline to be detected is determined to be leaked, different coping modes can be adopted. Illustratively, an alarm message may be sent to a preset user terminal to notify the user of the pipeline leakage. In a possible embodiment, OSD (On Screen Display) information may be added to the code stream to which the first image belongs, where the OSD information is used to indicate that the pipeline to be detected leaks. As can be seen in fig. 2, may include:
s201, shooting a monitoring scene including the pipeline to be detected by a ball machine to obtain a monitoring picture.
Since other objects may exist in the monitoring scene besides the pipeline to be detected, images of other objects may also exist in the monitoring picture besides the image of the pipeline to be detected.
S202, the ball machine takes the image in the area where the pipeline to be detected is located, which is calibrated by aiming at the preset point, in the monitoring picture as a first image.
S203, the ball machine determines the confidence that the color of the first image is the preset abnormal color.
This step is the same as S103, and reference may be made to the foregoing description related to S103, which is not described herein again.
And S204, if the confidence coefficient is greater than the preset confidence coefficient threshold value, the ball machine determines that the pipeline to be detected leaks.
The step is the same as S104, and reference may be made to the foregoing description about S104, which is not repeated herein.
And S205, the ball machine gives an alarm.
The alarm mode may be different according to different application scenarios, and for example, the user terminal may send alarm information to a designated terminal, or may send a preset alarm sound.
S206, the ball machine adds OSD information in the code stream of the first image.
The first image is extracted from the monitoring picture, so that the code stream to which the first image belongs is the code stream to which the monitoring picture belongs. The OSD information may be superimposed in the code stream as private information of the first image, and the content included in the OSD information may be different according to different actual requirements, and for example, the OSD information may include the following content:
{ blue warning }
The OSD information may be used to indicate that the pipe to be detected is leaking, and the confidence that the color of the first image is blue (a predetermined abnormal color) is higher than a predetermined confidence threshold.
In some possible embodiments, the OSD information may further include a confidence that the color of the first image is a preset abnormal color, and for example, assuming that the preset abnormal color includes red and blue, the OSD information may include the following:
{ red ═ 1.5
Blue color 52
Blue warning }
The OSD information may be used to indicate that the pipe to be detected is leaking, and the confidence that the first image is red is 1.5, the confidence that the first image is blue is 52, and the confidence that the first image is blue is higher than the preset confidence threshold.
In some further possible embodiments, the OSD information may further include a confidence that the color of the first image is one or more non-preset abnormal colors, and for example, assuming that the preset abnormal colors include red and blue, the OSD information may include the following:
{ red ═ 1.5
Blue color 52
Yellow 0.6
White-12.5
Blue warning }
The OSD information may be used to indicate that the pipe to be detected leaks, and the confidence that the first image is red is 1.5, the confidence that the first image is blue is 52, the confidence that the first image is yellow is 0.6, and the confidence that the first image is white is 12.5, and the confidence that the first image is blue is higher than the preset confidence threshold.
In other possible embodiments, the OSD information may further include a mean value, a maximum value, and a minimum value of the confidence level that the color of the first image is the preset abnormal color within a certain time, and a mean value, a maximum value, and a minimum value of the confidence level change rate. For example, assuming that the preset abnormal colors include red and blue, the OSD information may include the following:
{ Red (mean: 1.3; maximum: 1.4; minimum 1.3)
Red change rate (mean: 2.7%, maximum: 6.0%, minimum: 0.2%)
Blue (mean: 53.7; maximum: 54.3; minimum: 52.5)
Blue rate of change (mean: 1.2%; maximum: 2.7%; minimum: 0.1%)
Blue warning
Red 1.5
Blue color 52
Yellow 0.6
White-12.5
Blue warning }
For information represented on lines 6 to 10 of the OSD information, reference may be made to the foregoing description, and details are not repeated here. Row 1 indicates the confidence that the color of the first image is red, and the average value over the preset time period is 1.3, the maximum value is 1.4, and the minimum value is 1.3. Row 2 indicates that the confidence that the color of the first image is red is within a preset time period, the average rate of change is 2.7% per unit time, the maximum rate of change is 6.0% per unit time, and the minimum rate of change is 0.2% per unit time. Row 3 indicates the confidence that the color of the first image is blue, with an average value of 53.7, a maximum value of 54.3, and a minimum value of 52.5 over the preset time period. Row 4 shows that the confidence that the color of the first image is red is within a preset time period, the average rate of change is 1.2% per unit time, the maximum rate of change is 2.7% per unit time, and the minimum rate of change is 0.1% per unit time. And the 5 th row shows that the mean value, the maximum value and the minimum value of the confidence coefficient of the blue color of the first image in a certain time and at least one value of the mean value, the maximum value and the minimum value of the confidence coefficient change rate are not in a normal value range. For example, it may be indicated that the average value of the confidence levels that the color of the first image is blue in a certain time is greater than a preset average value threshold.
In other possible embodiments, the OSD information may also include other information that is of interest to the user (such as a date, a time, and an equipment identifier of a ball machine that captures the monitoring picture) according to actual needs, which is not limited in this embodiment.
And S207, the dome camera sends the code stream added with the OSD information to a user terminal.
S208, the user terminal displays the monitoring picture with OSD information based on the code stream.
The monitoring screen may be as described in fig. 3.
By adopting the embodiment, the user can be informed of the pipeline leakage detection result in a mode of adding OSD information in the code stream. And the user can conveniently obtain the pipeline leakage detection result in real time.
In some application scenarios, a plurality of pipelines to be detected can be photographed by one camera at the same time, and images of the plurality of pipelines to be detected are taken as first images to detect whether the plurality of pipelines to be detected are leaked. However, processing the images of a plurality of pipelines to be detected simultaneously may occupy a large amount of computing resources generated by an execution main body, and has a certain requirement on the computing capability of the execution main body. In view of this, in the method for detecting a pipeline leakage provided in the embodiment of the present invention, the ball machine may be calibrated and configured in advance, and the calibration and configuration process may refer to fig. 4, which includes:
S401, the ball machine moves to a new preset point according to a preset point sequence under the driving of the cloud deck.
S402, the dome camera shoots monitoring pictures of the monitoring scene.
The monitoring scene comprises at least one pipeline to be detected, so that the monitoring picture theoretically also comprises at least one image of the pipeline to be detected.
And S403, the ball machine sends the monitoring picture to a preset user terminal.
S404, the user terminal displays the monitoring picture.
The interface of the user terminal displaying the monitoring picture can be as shown in fig. 5a, wherein the filled black solid rectangle represents the pipe to be detected.
S405, the user terminal marks the area where the image of the pipeline to be detected is located in the monitoring picture based on the operation instruction aiming at the monitoring picture.
The user terminal interface after calibrating the monitoring screen can be as shown in fig. 5 b. The user can control the user terminal to mark the area of the image of the pipeline to be detected in the monitoring picture through a preset drawing tool provided by the user terminal interface. In other possible embodiments, the user terminal may also mark the area of the image of the pipeline to be detected in the monitoring picture through a preset recognition algorithm.
S406, the user terminal sends configuration information of the preset point to the ball machine, wherein the configuration information comprises position information of an area where the image of the pipeline to be detected in the monitoring picture is located and a confidence threshold value fed back by the user terminal aiming at the monitoring picture.
The confidence threshold may be determined by the user terminal according to an operation instruction input by the user, or may be calculated according to a preset calculation method, which is not limited in this embodiment. For example, the user terminal may display a confidence threshold configuration interface, as shown in the configuration area in fig. 5a or fig. 5b, and the user may change the confidence threshold for the monitoring screen feedback by dragging the scroll bar control.
In other possible embodiments, other information may be included in the configuration information according to actual requirements. For example, the configuration information may further include alarm switch information for controlling whether the dome camera starts an alarm, alarm type information for controlling the type of alarm when the dome camera triggers the alarm, and the like. The processing of this information by the ball machine will be described below with respect to the portion of the pipe leak detection method applied to the ball machine and will not be discussed in greater detail herein.
And S407, the ball machine takes the received configuration information as the monitoring information of the preset point, and returns to execute S401.
By selecting the embodiment, a plurality of different pipelines to be detected can be respectively configured so as to improve the accuracy of pipeline leakage detection. It can be understood that different pipes to be detected may have different characteristics, for example, a blue proportion in a possible paint color of a certain pipe to be detected is higher than a blue proportion in a paint color of other pipes to be detected, and then, in the case where no leakage occurs, the confidence that the color of the pipe to be detected is blue is higher than that of the other pipes to be detected, and if the blue confidence threshold of the pipe to be detected is the same as that of the other pipes to be detected, the pipe to be detected may be erroneously determined as leakage occurs, and therefore, the blue confidence threshold of the pipe to be detected may be set relatively higher, so as to improve the accuracy of pipe leakage detection.
Referring to fig. 6, fig. 6 is a schematic flow chart of a method for detecting a pipeline leakage according to an embodiment of the present invention, and for convenience of description, it is assumed that the preset abnormal colors are red and blue, and yellow and white are two normal colors in the embodiment of the present invention. The method can comprise the following steps:
s601, the ball machine moves to a new preset point according to a preset point sequence under the driving of the holder.
If the ball machine moves to the last preset point of the preset point sequence, the ball machine can move to the first preset point of the preset point sequence, and the ball machine can also move reversely to the penultimate preset point according to the preset point sequence.
And S602, shooting a monitoring scene by the dome camera to obtain a monitoring picture.
S603, the ball machine takes the image in the area where the pipeline to be detected is located, which is calibrated by aiming at the preset point, in the monitoring picture as a first image.
For the calibration process, reference may be made to the foregoing embodiments, which are not described herein again.
S604, the ball machine maps the first image to an HSV color space to obtain color components of the first image.
S605, the ball machine respectively determines the proportions of red, blue, yellow and white in the color components.
And S606, the ball machine respectively calculates confidence coefficients that the colors of the first image are red, blue, yellow and white based on the proportions of the red, blue, yellow and white.
S607, the dome camera determines whether the confidence that the color of the first image is red is greater than the preset red confidence threshold for the preset point, and whether the confidence that the color of the first image is blue is greater than the preset blue confidence threshold for the preset point.
For the preset confidence threshold for the preset point, reference may be made to the relevant description in the foregoing embodiments, and details are not repeated here.
And S608, if the confidence coefficient that the color of the first image is red is greater than a preset red confidence coefficient threshold value for the preset point, and/or the confidence coefficient that the color of the first image is blue is greater than a preset blue confidence coefficient threshold value for the preset point, the ball machine determines that the pipeline to be detected leaks.
After determining that the pipeline to be detected leaks, the ball machine can determine whether alarm switch information indicates to turn off the alarm in the configuration information, if the alarm switch information indicates to turn off the alarm, the ball machine does not perform subsequent alarm processing, and if the alarm switch information indicates to turn on the alarm, the ball machine can further determine the alarm type indicated by the alarm type information and perform alarm through the alarm type indicated by the alarm type information. For example, the alarm type information may indicate to send an alarm sound, may indicate to send alarm information to a preset user terminal, and may indicate to send an alarm sound and send alarm information to a preset user terminal.
And S609, if the confidence coefficient that the color of the first image is red is not greater than the preset red confidence coefficient threshold value for the preset point, and the confidence coefficient that the color of the first image is blue is not greater than the preset blue confidence coefficient threshold value for the preset point, the ball machine determines that the pipeline to be detected does not leak.
S610, the ball machine adds OSD information to the code stream to which the monitoring picture belongs, wherein the OSD information comprises a confidence coefficient that the color of the first image is red, a confidence coefficient that the color of the first image is blue, a confidence coefficient that the color of the first image is yellow, a confidence coefficient that the color of the first image is white, and whether the pipeline to be detected leaks or not.
And S611, when the time length at the preset point reaches a time length threshold value, the ball machine moves to a next preset point positioned at the preset point in the preset point sequence.
The preset time length threshold value can be set according to actual requirements, and the time length threshold value of each preset point can be different. For example, in some application scenarios, the preset point a corresponds to the pipeline a to be detected, the preset point B corresponds to the pipeline B to be detected, and the possibility of leakage of the pipeline a to be detected due to some special reasons is higher than that of the pipeline B to be detected, so that the time length threshold of the preset point a can be set relatively longer, and the time length threshold of the preset point B can be set relatively shorter.
In some possible embodiments, the duration threshold may be a preset fixed value. In other possible embodiments, the duration threshold may also be a non-constant value that is preset and may vary. For example, the duration threshold of the preset point a may be preset to be 10 minutes, and the duration threshold may be increased (for example, to 12 minutes) when the color of the first image acquired when the ball machine is at the preset point a changes, or may be increased multiple times if the color changes multiple times. In this embodiment, the color change may refer to a change in confidence that the color of the first image is red, blue, yellow, or white. It can be understood that, in a normal condition, the color of the pipe to be detected does not change theoretically, and therefore if the color of the first image changes, it can be considered that the pipe to be detected may be leaking, and therefore the time length threshold value can be increased to further detect the pipe to be detected.
Referring to fig. 7, fig. 7 shows a pipeline leakage detection device provided in an embodiment of the present invention, where the method is applied to a ball machine, a preset point sequence is preset for the ball machine, the preset point sequence includes a plurality of preset points, and an area where a pipeline to be detected is located is marked for each preset point, the ball machine is provided with a cradle head, and the cradle head is used to drive the ball machine to perform cruise scanning on the plurality of preset points, and the device includes:
The image acquisition module 701 is used for shooting a monitoring scene to obtain a monitoring picture when the ball machine is driven by the tripod head to be at one of the preset points;
an area determining module 702, configured to use, in the monitoring picture, an image in an area where the to-be-detected pipeline is located, which is calibrated for the one preset point, as a first image, where an outer surface of the to-be-detected pipeline is coated with an industrial coating, and the industrial coating changes color when reacting with a chemical product transported by the to-be-detected pipeline;
a color detection module 703, configured to determine a confidence that the color of the first image is a preset abnormal color; and if the confidence coefficient is larger than a preset confidence coefficient threshold value, determining that the pipeline to be detected leaks.
In a possible embodiment, the color detection module 703 is specifically configured to map the color of the first image to a hue-saturation-value HSV color space, so as to obtain a color component of the first image;
determining the proportion of preset abnormal colors in the color components;
based on the proportion, calculating the confidence coefficient that the color of the first image is a preset abnormal color, wherein the confidence coefficient is positively correlated with the proportion.
In a possible embodiment, the apparatus further includes a caption adding module, configured to add, after the pipeline to be detected is determined to be leaked, and after the pipeline to be detected is determined to be leaked, OSD information for directly displaying an OSD on a screen in a code stream to which the first image belongs, where the OSD information is used to indicate that the pipeline to be detected is leaked.
In a possible embodiment, the OSD information is also used to represent the confidence level.
In a possible embodiment, the color detection module 703 is specifically configured to determine a confidence that an average color of the first image in a preset time period is a preset abnormal color.
In a possible embodiment, the device further includes a cruise module, configured to control the ball machine to move to a preset point next to the preset point in the preset point sequence when a duration that the ball machine is at the preset point reaches a duration threshold.
In a possible embodiment, the device further includes a configuration module, configured to control, for each preset point in the preset point sequence, the dome camera to move to the preset point in advance and to shoot a monitoring scene, so as to obtain a preview picture;
Sending the preview to a preset terminal;
receiving a confidence threshold value fed back by the preset terminal aiming at the monitoring picture, and taking the confidence threshold value as the confidence threshold value of the preset point;
the color detection module 703 is specifically configured to determine that the pipeline to be detected leaks if the confidence is greater than a confidence threshold of a preset point where the dome camera is located.
In a possible embodiment, the cruise module is further configured to, before the moving to the preset point next to the preset point in the preset point sequence when the duration that the ball machine is at the preset point reaches the duration threshold value, increase the duration threshold value if the color of the first image changes.
The embodiment of the present invention further provides a ball machine, which may include: the system comprises an image acquisition module unit, a holder PTZ unit, an alarm output interface, a memory and a processor;
the image acquisition unit is used for acquiring images;
the PTZ unit is used for controlling the movement of the tripod head so as to drive the ball machine to carry out cruise scanning;
the alarm output interface is used for alarming after the pipeline to be detected is determined to leak;
a memory for storing a computer program;
the processor is used for realizing the following steps when executing the program stored in the memory:
When the ball machine is driven by the holder to be located at one of the preset points, shooting a monitoring scene to obtain a monitoring picture;
taking an image in an area where the to-be-detected pipeline is located, which is calibrated by aiming at the preset point, in the monitoring picture as a first image, coating an industrial coating on the outer surface of the to-be-detected pipeline, wherein the industrial coating changes color when reacting with a chemical product conveyed by the to-be-detected pipeline;
determining the confidence coefficient that the color of the first image is a preset abnormal color;
and if the confidence coefficient is larger than a preset confidence coefficient threshold value, determining that the pipeline to be detected leaks.
In a possible embodiment, the determining the confidence that the color of the first image is the preset abnormal color includes:
mapping the color of the first image to a hue-saturation-value (HSV) color space to obtain a color component of the first image;
determining the proportion of preset abnormal colors in the color components;
based on the proportion, calculating the confidence coefficient that the color of the first image is a preset abnormal color, wherein the confidence coefficient is positively correlated with the proportion.
In a possible embodiment, after the determining that the pipe to be detected leaks, the method further includes:
And adding a screen to the code stream of the first image to directly display OSD information aiming at the first image, wherein the OSD information is used for indicating that the pipeline to be detected leaks.
In a possible embodiment, the OSD information is also used to represent the confidence level.
In a possible embodiment, the determining the confidence that the color of the first image is the preset abnormal color includes:
and determining the confidence that the average color of the first image in a preset time period is a preset abnormal color.
In a possible embodiment, the method further comprises:
and when the time length of the ball machine at the preset point reaches a time length threshold value, moving to a preset point positioned next to the preset point in the preset point sequence.
In a possible embodiment, the method further comprises:
aiming at each preset point in the preset point sequence, moving to the preset point in advance and shooting a monitoring scene to obtain a preview picture;
sending the preview to a preset terminal;
receiving a confidence threshold value fed back by the preset terminal aiming at the monitoring picture, and taking the confidence threshold value as the confidence threshold value of the preset point;
if the confidence coefficient is greater than a preset confidence coefficient threshold value, determining that the pipeline to be detected leaks, including:
And if the confidence coefficient is greater than the confidence coefficient threshold value of the preset point where the ball machine is located, determining that the pipeline to be detected leaks.
In a possible embodiment, before the moving to the preset point next to the one preset point in the preset point sequence when the duration of the ball machine at the one preset point reaches the duration threshold, the method further includes:
and if the color of the first image changes, increasing a time length threshold value.
The Memory mentioned in the above ball machine may include a Random Access Memory (RAM) and may also include a Non-Volatile Memory (NVM), such as at least one disk Memory. Optionally, the memory may also be at least one memory device located remotely from the processor.
The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components.
In yet another embodiment of the present invention, a computer-readable storage medium is further provided, which has instructions stored therein, and when the instructions are executed on a computer, the computer is caused to execute any of the pipeline leakage detection methods of the above embodiments.
In yet another embodiment, a computer program product containing instructions is also provided, which when run on a computer, causes the computer to perform any of the pipe leak detection methods of the above embodiments.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
All the embodiments in the present specification are described in a related manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, embodiments of the apparatus, the ball machine, the computer-readable storage medium, and the computer program product are substantially similar to the method embodiments, so that the description is relatively simple, and in relation to the description, reference may be made to some portions of the method embodiments.
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention shall fall within the protection scope of the present invention.
Claims (9)
1. A pipeline leakage detection method is applied to a ball machine, a preset point sequence is preset for the ball machine, the preset point sequence comprises a plurality of preset points, an area where a pipeline to be detected is located is marked for each preset point, the ball machine is provided with a cloud deck, and the cloud deck is used for driving the ball machine to conduct cruise scanning on the preset points, and the method comprises the following steps:
when the ball machine is driven by the holder to be at one of the preset points, shooting a monitoring scene to obtain a monitoring picture;
taking an image in an area where the to-be-detected pipeline is located, which is calibrated by aiming at the preset point, in the monitoring picture as a first image, coating an industrial coating on the outer surface of the to-be-detected pipeline, wherein the industrial coating changes color when reacting with a chemical product conveyed by the to-be-detected pipeline;
determining the confidence coefficient that the color of the first image is a preset abnormal color;
And if the confidence coefficient is larger than a preset confidence coefficient threshold value, determining that the pipeline to be detected leaks.
2. The method of claim 1, wherein determining the confidence that the color of the first image is a preset anomalous color comprises:
mapping the color of the first image to a hue-saturation-value (HSV) color space to obtain a color component of the first image;
determining the proportion of preset abnormal colors in the color components;
based on the proportion, calculating the confidence coefficient that the color of the first image is a preset abnormal color, wherein the confidence coefficient is positively correlated with the proportion.
3. The method of claim 1, wherein after said determining that the pipe to be tested is leaking, the method further comprises:
and adding a screen to the code stream of the first image to directly display OSD information aiming at the first image, wherein the OSD information is used for indicating that the pipeline to be detected leaks.
4. The method of claim 3, wherein the OSD information is further used to indicate the confidence level.
5. The method of claim 1, wherein determining the confidence that the color of the first image is a preset anomalous color comprises:
And determining the confidence that the average color of the first image in a preset time period is a preset abnormal color.
6. The method of claim 1, further comprising:
and when the time length of the ball machine at the preset point reaches a time length threshold value, moving to a preset point positioned next to the preset point in the preset point sequence.
7. The method of claim 6, further comprising:
aiming at each preset point in the preset point sequence, moving to the preset point in advance and shooting a monitoring scene to obtain a preview picture;
sending the preview picture to a preset terminal;
receiving a confidence threshold value fed back by the preset terminal aiming at the monitoring picture, and taking the confidence threshold value as the confidence threshold value of the preset point;
if the confidence coefficient is greater than a preset confidence coefficient threshold value, determining that the pipeline to be detected leaks, including:
and if the confidence coefficient is greater than the confidence coefficient threshold value of the preset point where the ball machine is located, determining that the pipeline to be detected leaks.
8. The method of claim 6, wherein before said moving to a preset point in said sequence of preset points that is next to said one preset point when the duration of said ball machine at said one preset point reaches a duration threshold, said method further comprises:
And if the color of the first image changes, increasing a time length threshold value.
9. The pipeline leakage detection device is characterized in that the method is applied to a ball machine, a preset point sequence is preset for the ball machine, the preset point sequence comprises a plurality of preset points, an area where a pipeline to be detected is located is marked for each preset point, the ball machine is provided with a cloud deck, the cloud deck is used for driving the ball machine to conduct cruise scanning on the preset points, and the device comprises:
the image acquisition module is used for shooting a monitoring scene when the ball machine is driven by the tripod head to be at one of the preset points to obtain a monitoring picture;
the area determining module is used for taking an image in an area where the to-be-detected pipeline is located, which is calibrated by aiming at the preset point, in the monitoring picture as a first image, coating industrial paint on the outer surface of the to-be-detected pipeline, and changing color when the industrial paint reacts with chemical products conveyed by the to-be-detected pipeline;
the color detection module is used for determining the confidence coefficient that the color of the first image is the preset abnormal color;
and if the confidence coefficient is larger than a preset confidence coefficient threshold value, determining that the pipeline to be detected leaks.
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