CN114739591A - Hydraulic oil leakage detection early warning method based on image processing - Google Patents
Hydraulic oil leakage detection early warning method based on image processing Download PDFInfo
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- CN114739591A CN114739591A CN202210262748.3A CN202210262748A CN114739591A CN 114739591 A CN114739591 A CN 114739591A CN 202210262748 A CN202210262748 A CN 202210262748A CN 114739591 A CN114739591 A CN 114739591A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M3/00—Investigating fluid-tightness of structures
- G01M3/02—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
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M3/00—Investigating fluid-tightness of structures
- G01M3/02—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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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
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- G—PHYSICS
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/155—Segmentation; Edge detection involving morphological operators
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
- G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
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Abstract
The embodiment of the application provides a hydraulic oil leakage detection early warning method based on image processing, which comprises the following steps: adding a marking substance into hydraulic oil; a common light source detection process; the common light source detection process adopts common light source irradiation and detects whether a suspected leakage condition occurs in a target area; under the condition that suspected leakage occurs in the target area, entering a fluorescence detection process, wherein the fluorescence detection process adopts fluorescence irradiation and detects whether the leakage exists in the target area, and the oil stain on the mechanical equipment can be effectively distinguished from the leakage of a hydraulic system or lubricating oil or other oil which is not cleaned up through a marking substance; by means of the combination of ultraviolet light and common light source illumination, the target area can be monitored in real time, and micro leakage can be found in time.
Description
Technical Field
The application relates to the technical field of hydraulic oil leakage detection, in particular to a hydraulic oil leakage detection early warning method based on image processing.
Background
The hydraulic system is the core of power transmission and automatic control, and generally consists of a hydraulic oil tank, a power element (such as a pump), an actuator (such as a cylinder and a motor), a control element (such as a battery valve) and a hydraulic pipeline. For a hydraulic system with more hydraulic elements and pipelines and an oil cylinder as an actuating element, the leakage phenomenon is not easy to find, and particularly in the mixed environment of mud, water, oil stain and the like, the leakage phenomenon observation is influenced by a plurality of interference elements.
The existing hydraulic oil leakage detection method generally comprises the following steps: (1) the visual detection method is the most visual and inaccurate method, completely depends on the discrimination of human eyes, when the oil stain is polluted by hydraulic oil or other oil, the human eyes can not distinguish the oil stain when the oil stain is slightly leaked, and the visual detection method is accurate only when the leakage is very obvious or the hydraulic oil leaks in a drop shape; (2) the soap water foam method has the greatest advantage of saving cost, and the implementation process of the method is to coat soap water on a suspected leakage position, if bubbles emerge, the leakage exists at the suspected leakage position, but the tiny leakage is difficult to detect; (3) the ion detector detection method judges whether leakage exists by detecting individual ions in the substance to be detected, but the method needs expensive equipment and can only detect the approximate direction of leakage; most of the methods are based on experience, and have the common defects that the detection is not sensitive and time-consuming, and the tiny leakage points cannot be searched and positioned.
The method comprises the following steps of (1) researching a hydraulic oil leakage fluorescence detection method and system construction (D), designing and constructing the hydraulic oil leakage fluorescence detection method and system, obtaining an optimal excitation wavelength and a fluorescence detection wavelength by researching the fluorescence characteristics of hydraulic oil, selecting a proper light source as excitation light to provide energy to excite the hydraulic oil to generate fluorescence, and determining whether hydraulic oil leakage exists or not by detecting the fluorescence peak position. However, the method has high equipment requirement, complex operation and strong specialization, and whether different types of hydraulic oil can be excited to generate fluorescence or not and the fluorescence characteristics of the hydraulic oil are greatly different;
the method for detecting the leakage of the transformer oil disclosed by the prior patent CN108844689A designs a method for detecting the leakage of the transformer oil added with a fluorescent tracer, and the method is implemented by adding a fluorescent agent into hydraulic oil, carrying an ultraviolet lamp by inspectors, wearing ultraviolet protective glasses, irradiating a detection area by using the ultraviolet lamp, and checking whether fluorescence exists to judge leakage, but the method cannot detect the leakage in real time, possibly misses the initial leakage stage, and the inspectors can cause certain damage to bodies by using the ultraviolet light for a long time.
In the existing patent CN108520517A, a multi-channel separation and edge gradient feature extraction method is adopted to obtain feature information of an oil leakage area, a leakage feature classifier is trained to judge whether leakage occurs, and a leakage positioning position and a leakage area expansion speed are calculated according to the feature information of the leakage areas of previous and next frames.
In an oil-filled equipment oil leakage detection system based on fluorescence spectrum detection in the prior patent CN210426903U and an oil-filled equipment oil leakage detection device based on an ultraviolet fluorescence method in the patent CN210014883U, an ultraviolet generator can be used to emit ultraviolet rays with a specific wavelength, and after the ultraviolet rays with the specific wavelength irradiate oil leakage, a monitoring picture in software is changed from non-fluorescence to fluorescence, so as to determine whether an oil leakage phenomenon occurs, but the ultraviolet rays can damage the bodies of workers due to long-time irradiation.
Disclosure of Invention
In order to solve one of the technical defects, the embodiment of the application provides a hydraulic oil leakage detection early warning method based on image processing.
According to the embodiment of the application, the hydraulic oil leakage detection early warning method based on image processing is provided, and comprises the following steps:
adding a marking substance into hydraulic oil;
a common light source detection process; the common light source detection process adopts common light source irradiation and detects whether a suspected leakage condition occurs in a target area;
and entering a fluorescence detection process under the condition that the suspected leakage occurs in the target area, wherein the fluorescence detection process adopts fluorescence irradiation and detects whether the leakage exists in the target area.
Adopt the hydraulic oil leakage detection early warning method based on image processing that provides in this application embodiment, can effectively distinguish whether greasy dirt on the mechanical equipment leaks out from hydraulic system or lubricating oil or other oil that do not have the clean up through adding the marker substance, through the mode that ultraviolet light and ordinary light source illumination combine among the detecting system, reducible ultraviolet light pollutes, reduce the injury to staff's health, also can protect the camera lens to a certain extent simultaneously, real-time supervision, can in time discover when taking place little seepage, and can carry out information prompt and grade early warning according to the condition, it is more directly perceived.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
FIG. 1 is a schematic overall flow chart provided in an embodiment of the present application;
FIG. 2 is a schematic view of a processing flow of a normal light source image according to an embodiment of the present disclosure;
fig. 3 is a schematic view of a fluorescence image processing flow provided in an embodiment of the present application.
Detailed Description
In order to make the technical solutions and advantages of the embodiments of the present application more apparent, the following further detailed description of the exemplary embodiments of the present application with reference to the accompanying drawings makes it clear that the described embodiments are only a part of the embodiments of the present application, and are not exhaustive of all embodiments. It should be noted that, in the present application, the embodiments and features of the embodiments may be combined with each other without conflict.
In the process of implementing the present application, the inventor finds that, in the prior art, an ultraviolet generator can emit ultraviolet rays with a specific wavelength, and after the ultraviolet rays with the specific wavelength irradiate oil leakage, a monitoring picture in software is converted from non-fluorescence to fluorescence, so as to judge whether the oil leakage phenomenon occurs or not, but the ultraviolet rays can damage the body of a worker after being irradiated for a long time.
In view of the above problems, an embodiment of the present application provides a hydraulic oil leakage detection and early warning method based on image processing, as shown in fig. 1 to 3, including the following steps:
adding a marking substance into hydraulic oil;
a common light source detection process; the common light source detection process adopts common light source irradiation and detects whether a suspected leakage condition occurs in a target area;
and entering a fluorescence detection process under the condition that the suspected leakage occurs in the target area, wherein the fluorescence detection process adopts fluorescence irradiation and detects whether the leakage exists in the target area.
In this application, before the step of ordinary light source detection flow, still include:
starting a fluorescence detection process; wherein, the detection system adopts fluorescence irradiation after the start-up, and detects whether the target area has leakage:
under the condition that leakage does not exist, the fluorescence irradiation is closed, a common light source is opened, an image of a target area is stored as a sample image, the target area is subjected to video monitoring, and the process enters a common light source detection flow;
and entering a leakage degree detection process under the condition that the leakage exists.
In the application, the marking substance is a fluorescent leak detector, and the color of light emitted by the fluorescent leak detector is different from that of the device body; if the coating of the large machine is orange yellow, orange fluorescence is avoided when a fluorescent agent is selected, and the fluorescent leakage detecting agent is selected to be the fluorescent leakage detecting agent emitting yellow-green fluorescence, the specific implementation mode is as follows: adding a proper amount of fluorescent leak detection agent into a system to be detected, and then operating the system to fully circulate the oil.
In the present application, as shown in fig. 2, the method for determining whether there is a leak under the irradiation of a common light source is as follows:
a. extracting an image from a video stream at intervals as a common light source monitoring image;
b. comparing a common light source monitoring image with a sample image which is stored when a system is started and is subjected to preprocessing, detecting whether an abnormal area exists or not, and judging whether a suspected hydraulic oil leakage condition exists or not;
c. if no abnormity is detected, repeating the step a, if abnormity exists, extracting the area of an abnormal area, and comparing the area with a set threshold value;
d. when the area of the abnormal area is smaller than the set threshold value, the current common light source monitoring image is preprocessed and then stored as a sample image, the step a is returned, and whether the area of the abnormal area is continuously changed or not is judged by counting the times of updating the sample image;
e. and if the area of the abnormal image area is continuously increased and exceeds the set threshold value, the fluorescence detection system is started, and prompt information is displayed in the corresponding area of the display.
In this application, compare ordinary light source monitoring image and sample image, judge whether appear the suspected step of revealing of hydraulic oil, specifically include:
a. preprocessing a common light source monitoring image and a sample image; performing arithmetic operation on the preprocessed common light source monitoring image and the gray level image of the preprocessed sample image to eliminate the same information;
b. carrying out binarization processing of a preset threshold value on the images with the same information eliminated to form a binarized image;
c. performing morphological processing on the binary image, and extracting area and perimeter characteristics;
d. judging whether the abnormality exists according to the area and perimeter information:
under the condition that the detection area and the perimeter are abnormal, extracting the area of an abnormal area, and comparing the area with a set threshold value;
when the area of the abnormal area is smaller than a set threshold value, the current common light source monitoring image is stored as a sample image, the common light source monitoring process is returned again, and whether the area of the abnormal area is continuously changed or not is judged by counting the times of updating the sample image;
and when the area of the image abnormal region is detected to be continuously increased and exceeds a set threshold value, judging that the suspected leakage occurs in the target region.
When no figure exists in the binary image, namely the area and the perimeter are zero, the abnormality is not detected.
In the present application, as shown in fig. 3, the method for determining whether fluorescence is present in the fluorescence detection system is as follows:
a. turning on a fluorescent lamp, and taking a picture as a fluorescence monitoring image;
preprocessing the image and converting the image into an HSV space to form an HSV fluorescence monitoring image;
b. extracting a part which meets a yellow-green threshold range in the HSV fluorescence monitoring image, converting the image into a binary image, and forming a binary fluorescence monitoring image;
c. performing morphological processing on the binary fluorescence monitoring image;
d. extracting fluorescence area information of the two-valued fluorescence monitoring image after morphological processing;
e. and judging the leakage speed by calculating the area difference of the image fluorescence areas within a certain time interval.
The image preprocessing comprises image denoising, image enhancement and conversion into a gray scale image.
By designing a leakage early warning and early warning mechanism, under the irradiation of a common light source, if an abnormal area of an image is detected, information prompt is carried out; after the fluorescence detection system is opened, a fluorescence image is not detected, and early warning is carried out; and detecting a fluorescence image, carrying out corresponding grade early warning on the calculated leakage speed, giving out sound prompt, carrying out area extraction on a fluorescence area in the detected image, and determining the leakage grade by calculating an area difference value at a certain time interval to reflect the leakage speed.
The method can effectively distinguish whether the oil stain on the mechanical equipment leaks out of the hydraulic system or lubricating oil or other oil which is not cleaned up by adding the fluorescent agent; by combining the illumination of ultraviolet light and a common light source, the pollution of the ultraviolet light can be reduced, the harm to the body of a worker is reduced, and meanwhile, the camera lens can be protected to a certain extent; the target area can be monitored in real time, and the micro leakage can be found in time; meanwhile, information prompt and grade early warning can be carried out according to the leakage condition, and the method is more visual.
In the description of the present application, it is to be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on those shown in the drawings, and are used merely for convenience of description and for simplicity of description, and do not indicate or imply that the referenced device or element must have a particular orientation, be constructed in a particular orientation, and be operated, and thus should not be considered as limiting the present application.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present application, "plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
In this application, unless expressly stated or limited otherwise, the terms "mounted," "connected," "secured," and the like are to be construed broadly and can include, for example, fixed connections, removable connections, or integral parts; can be mechanically connected, electrically connected or can communicate with each other; either directly or indirectly through intervening media, either internally or in any other relationship. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art as the case may be.
While the preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all alterations and modifications as fall within the scope of the application.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.
Claims (10)
1. A hydraulic oil leakage detection early warning method based on image processing is characterized by comprising the following steps:
adding a marking substance into hydraulic oil;
a common light source detection process; the common light source detection process adopts common light source irradiation and detects whether a suspected leakage condition occurs in a target area;
and entering a fluorescence detection process under the condition that the suspected leakage occurs in the target area, wherein the fluorescence detection process adopts fluorescence irradiation and detects whether the leakage exists in the target area.
2. The hydraulic oil leakage detection early warning method based on image processing as claimed in claim 1, wherein before the step of the common light source detection process, the method further comprises:
starting a fluorescence detection process; the detection system adopts fluorescence irradiation after starting up, and detects whether leakage exists in a target area:
under the condition that leakage does not exist, the fluorescence irradiation is closed, a common light source is opened, an image of a target area is stored as a sample image, the target area is subjected to video monitoring, and the process enters a common light source detection flow;
and entering a leakage degree detection process under the condition that the leakage exists.
3. The hydraulic oil leakage detection early warning method based on image processing as claimed in claim 2, wherein the common light source detection process specifically comprises:
extracting images from the video stream at preset time intervals to serve as common light source monitoring images;
and comparing the monitoring image of the common light source with the sample image, and judging whether the suspected leakage of the hydraulic oil occurs.
4. The hydraulic oil leakage detection and early warning method based on image processing as claimed in claim 3, wherein the step of comparing the monitoring image of the common light source with the sample image and judging whether the suspected leakage of the hydraulic oil occurs specifically comprises:
preprocessing a common light source monitoring image and a sample image;
performing arithmetic operation on the preprocessed common light source monitoring image and the gray level image of the preprocessed sample image to eliminate the same information;
carrying out binarization processing of a preset threshold value on the images with the same information eliminated to form a binarized image;
performing morphological processing on the binary image, and extracting area and perimeter characteristics;
judging whether the abnormality exists according to the area and perimeter information:
under the condition that the detection area and the perimeter are abnormal, extracting the area of an abnormal area, and comparing the area with a set threshold value;
when the area of the abnormal area is smaller than a set threshold value, the current common light source monitoring image is stored as a sample image, the common light source monitoring process is returned again, and whether the area of the abnormal area is continuously changed or not is judged by counting the times of updating the sample image;
and when the area of the image abnormal region is detected to be continuously increased and exceeds a set threshold value, judging that the target region is suspected to leak.
5. The hydraulic oil leakage detection early warning method based on image processing as claimed in claim 4, wherein the step of judging whether there is an abnormality or not by area and perimeter information further comprises:
and when the area and the perimeter are both zero, judging that the suspected leakage condition is not detected, and returning to the common light source detection process.
6. The hydraulic oil leakage detection early warning method based on image processing as claimed in claim 3, wherein the fluorescence detection process specifically comprises:
turning on a fluorescent lamp, and taking a picture as a fluorescence monitoring image;
preprocessing the fluorescence monitoring image and converting the preprocessed fluorescence monitoring image into an HSV space to form an HSV fluorescence monitoring image;
extracting a part meeting a yellow-green threshold range in the HSV fluorescence monitoring image to form a binary fluorescence monitoring image;
performing morphological processing on the binary fluorescence monitoring image;
extracting fluorescence area information of the two-valued fluorescence monitoring image after morphological processing;
and judging the leakage speed by calculating the area difference of the image fluorescence areas in a preset time interval.
7. The image processing-based hydraulic oil leakage detection early warning method according to claim 1, wherein the marker substance is a fluorescent leak detector, and the fluorescent leak detector is a fluorescent leak detector emitting yellow-green fluorescence.
8. The hydraulic oil leakage detection early warning method based on image processing as claimed in claim 4 or 6, wherein: the image preprocessing comprises image denoising, image enhancement and conversion into a gray scale image.
9. The hydraulic oil leakage detection early warning method based on image processing as claimed in claim 2, wherein: the leakage degree detection process specifically comprises the following steps:
and (4) extracting the area of the fluorescence area in the detection image, and determining the leakage grade by calculating the area difference value at a certain time interval to reflect the leakage speed.
10. The hydraulic oil leakage detection early warning method based on image processing as claimed in claim 9, wherein: under the irradiation of a common light source, if the condition that suspected leakage occurs in the image is detected, information prompt is carried out; if the fluorescence image is not detected after entering the fluorescence detection process, early warning is carried out; and detecting the fluorescence image, carrying out corresponding grade early warning according to the leakage grade calculated by the leakage degree detection process, and giving out sound prompt.
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| CN115170974A (en) * | 2022-09-08 | 2022-10-11 | 深圳市勘察研究院有限公司 | Method and device for intelligently detecting connectivity of karst cave based on AI (Artificial Intelligence) |
| CN116399515A (en) * | 2023-04-21 | 2023-07-07 | 苏州亚太精睿传动科技股份有限公司 | Method and system for determining leakage working condition of gearbox based on machine vision |
| CN116912278A (en) * | 2023-09-13 | 2023-10-20 | 武汉大学 | Full-automatic fat injection method, device, equipment and storage medium |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115170974A (en) * | 2022-09-08 | 2022-10-11 | 深圳市勘察研究院有限公司 | Method and device for intelligently detecting connectivity of karst cave based on AI (Artificial Intelligence) |
| CN116399515A (en) * | 2023-04-21 | 2023-07-07 | 苏州亚太精睿传动科技股份有限公司 | Method and system for determining leakage working condition of gearbox based on machine vision |
| CN116399515B (en) * | 2023-04-21 | 2024-03-15 | 苏州亚太精睿传动科技股份有限公司 | Method and system for determining leakage working condition of gearbox based on machine vision |
| CN116912278A (en) * | 2023-09-13 | 2023-10-20 | 武汉大学 | Full-automatic fat injection method, device, equipment and storage medium |
| CN116912278B (en) * | 2023-09-13 | 2023-12-08 | 武汉大学 | Full-automatic fat injection method, device, equipment and storage medium |
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