A method, device and system for online monitoring and control of oil

Abstract

The present application provides an oil online monitoring and control method, device and system, which belongs to the field of oil monitoring technology. The method determines an oil circulation image from an image acquisition device; based on a preset oil contaminant classification rule, determines the oil contaminant information in the oil circulation image. The bubble image whose pollutant type is bubbles in the oil circulation image is screened, and the bubble shape data corresponding to the bubble image is determined. Based on the bubble shape data and the preset deformation parameter formula, the bubble deformation factor corresponding to the bubble image is determined. The bubble deformation factor is matched with the preset deformation factor interval to determine whether to update the current servo motor speed parameter according to the matching result, so as to control the oil flow rate of the sampling pump according to the current servo motor speed parameter or the updated servo motor speed parameter. Thereby, an accurate particle counting result is obtained, the material particles counted are avoided from being confused, and the oil quality is accurately evaluated.

Description

Technical Field

[0001] The present application relates to the technical field of oil monitoring, and in particular to an online oil monitoring and control method, device and system. Background Art

[0002] As mechanical equipment continues to develop towards large-scale, complex and continuous development, people have higher and higher requirements for machine maintenance. Oil monitoring technology is a technology that obtains information on the lubrication and wear status of the machine by analyzing the performance changes of the lubricant (or working medium) in use and the wear particles carried by the monitored machine, evaluates the working condition of the machine, predicts faults, and determines the cause, type and parts of the fault. At present, oil monitoring technology has become an important means of equipment fault diagnosis.

[0003] The inventors found that when using the current particle counter to count particles in the oil during oil monitoring, due to the presence of impurities, water, metal particles, bubbles and other contaminants in the oil, it is easy to cause errors in the oil particle counting results, and it is impossible to accurately evaluate the oil quality. In addition, due to the influence of external factors such as the actual monitoring environment, the counter may confuse bubbles with other substances, further affecting the oil quality evaluation results. Summary of the invention

[0004] The embodiments of the present application provide an online oil monitoring and control method, device and system for solving the problem that the particle counting results of current oil monitoring are inaccurate and easily confused by external factors such as the environment, resulting in the inability to accurately evaluate the oil quality.

[0005] On the one hand, an embodiment of the present application provides an oil online monitoring and control method, the method comprising:

[0006] Determining an oil circulation image from an image acquisition device; wherein the image acquisition device is disposed inside a sampling pump through which the oil passes;

[0007] Based on a preset oil pollutant classification rule, determine the oil pollutant information in the oil circulation image; the oil pollutant information at least includes the pollutant type, pollutant location data, and pollutant quantity;

[0008] Screening the bubble images in which the pollutant type is bubbles in the oil circulation image, and determining the bubble shape data corresponding to the bubble images;

[0009] Based on the bubble shape data and a preset deformation parameter formula, determining a bubble deformation factor corresponding to the bubble image; the bubble deformation factor is used to characterize the degree of bubble deformation;

[0010] The bubble deformation factor is matched with a preset deformation factor interval to determine whether to update the current servo motor speed parameter according to the matching result, so as to control the oil flow rate of the sampling pump according to the current servo motor speed parameter or the updated servo motor speed parameter.

[0011] In one implementation of the present application, based on a preset oil contaminant classification rule, determining the oil contaminant information in the oil circulation image specifically includes:

[0012] Determine the appearance information of each pollutant in the oil circulation image; the appearance information at least includes shape regularity and transparency;

[0013] The appearance information is compared with the preset oil pollutant classification rule to determine the oil pollutant information corresponding to each pollutant; wherein the preset oil pollutant classification rule includes the correlation relationship between each appearance information and each oil pollutant information.

[0014] In one implementation of the present application, before screening the bubble image in which the pollutant type is a bubble in the oil circulation image and determining the bubble shape data corresponding to the bubble image, the method further includes:

[0015] Determine preset oil monitoring intervals;

[0016] When it is determined that the current moment satisfies the computer modeling rule corresponding to the preset oil monitoring time interval, corresponding bubble screening processing is performed on the oil circulation image collected at the current moment.

[0017] In one implementation of the present application, determining the bubble shape data corresponding to the bubble image specifically includes:

[0018] According to the screened bubble image and the computer modeling rule, the bubbles in the bubble image are computer modeled to obtain a corresponding bubble contour model; the bubble contour model at least includes a bubble contour and an inscribed circle of the bubble contour and an circumscribed circle of the bubble contour;

[0019] The first radius corresponding to the inscribed circle of the bubble contour and the second radius corresponding to the circumscribed circle of the bubble contour are used as the bubble shape data of the bubble contour.

[0020] In one implementation of the present application, based on the bubble shape data and a preset deformation parameter formula, determining a bubble deformation factor corresponding to the bubble image specifically includes:

[0021] Calculate the difference between the second radius and the first radius as the bubble deformation parameter;

[0022] According to the preset deformation parameter formula, the ratio of the bubble deformation parameter to the first radius is calculated to obtain the bubble deformation factor.

[0023] In one implementation of the present application, the bubble deformation factor is matched with a preset deformation factor interval to determine whether to update the current servo motor speed parameter according to the matching result, so as to control the oil flow rate of the sampling pump according to the current servo motor speed parameter or the updated servo motor speed parameter, specifically including:

[0024] Matching the bubble deformation factor with the preset deformation factor interval to determine whether the bubble deformation factor is within the preset deformation factor interval;

[0025] If yes, then the current servo motor speed parameter is not updated, so as to control the oil flow rate of the sampling pump according to the current servo motor speed parameter;

[0026] Otherwise, the current servo motor speed parameter is updated according to the bubble deformation factor, the current servo motor speed parameter and the preset update rule, so as to control the oil flow rate of the sampling pump through the updated servo motor speed parameter; wherein the preset update rule includes a correction parameter for making the bubble deformation factor enter the preset deformation factor range; the correction parameter is used to adjust the current servo motor speed parameter; the correction parameter is obtained according to the correspondence between the bubble deformation factor and the current servo motor speed parameter.

[0027] In one implementation of the present application, the method further includes:

[0028] Determine two oil circulation images that are continuous in time within the same time period within a preset oil monitoring time interval;

[0029] Comparing the two oil circulation images to determine whether there are the same oil contaminants; the same oil contaminants at least include the same contaminant type and the same contaminant location data;

[0030] If so, a speed increase instruction is generated to update the current servo motor speed parameter to a temporary servo motor speed parameter, so as to increase the oil flow rate according to the temporary servo motor speed parameter, until the two consecutive oil circulation images within the same time period do not contain the same oil contaminant, and the temporary servo motor speed parameter is restored to the original servo motor speed parameter.

[0031] On the other hand, the embodiment of the present application further provides an oil online monitoring and control device, the device comprising:

[0032] A first determination module is used to determine an oil circulation image from an image acquisition device; wherein the image acquisition device is arranged inside a sampling pump through which the oil passes;

[0033] A second determination module is used to determine the oil contaminant information in the oil circulation image based on a preset oil contaminant classification rule; the oil contaminant information at least includes the type of contaminant, the location data of the contaminant, and the amount of the contaminant;

[0034] A screening module, used for screening bubble images whose pollutant type is bubbles in the oil circulation image, and determining bubble shape data corresponding to the bubble images;

[0035] A third determination module is used to determine a bubble deformation factor corresponding to the bubble image based on the bubble shape data and a preset deformation parameter formula; the bubble deformation factor is used to characterize the degree of deformation of the bubble;

[0036] A matching module is used to match the bubble deformation factor with a preset deformation factor interval to determine whether to update the current servo motor speed parameter according to the matching result, so as to control the oil flow rate of the sampling pump according to the current servo motor speed parameter or the updated servo motor speed parameter.

[0037] On the other hand, the embodiment of the present application further provides an oil online monitoring and control system, the system comprising: an oil online monitoring and control device, a first manual ball valve, a coarse filter, a sampling pump, a second manual ball valve, an image acquisition device disposed inside the sampling pump, and an oil storage device;

[0038] The first manual ball valve is arranged at one end of the oil storage device, and is used to allow the oil in the oil storage device to flow out;

[0039] The coarse filter is arranged between the first manual ball valve and the sampling pump, and is used to filter some impurities and particles;

[0040] The rear end of the sampling pump is connected to the oil online monitoring control device, and is used to transport oil and adjust the oil flow rate so that the oil online monitoring control device can perform oil online monitoring;

[0041] The second manual ball valve is arranged at the other end of the oil storage device, and is used to allow the oil that has completed the online oil monitoring to enter the oil storage device.

[0042] In one implementation of the present application, the system further includes a leak detection sensor and a mounting seat;

[0043] The mounting seat is arranged below each device for conveying oil, and the leakage detection sensor is arranged on the plane of the mounting seat for detecting the oil leakage state when conveying oil.

[0044] At least one of the above technical solutions adopted in the embodiments of this specification can achieve the following beneficial effects:

[0045] (1) Through the above scheme, pollutants in the oil can be accurately distinguished, and the oil flow rate can be adjusted by using the degree of bubble deformation to prevent bubbles from being deformed due to unreasonable oil flow rate caused by inappropriate servo motor speed or other external factors, so that bubbles are difficult to distinguish from other pollutants. This makes the particle counting results of oil monitoring more accurate, and it is not easy to confuse the counted particles, ensuring that the oil monitoring technology can accurately evaluate the quality of oil products.

[0046] (2) When bubbles or other impurities are detected on the lens, the lens can be flushed by changing the oil flow rate. This can make the oil circulation image collected by the lens clearer and more reliable, further ensuring that the oil monitoring technology can accurately evaluate the oil quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0048] Figure 1 This is a schematic diagram of bubble states at different oil flow rates corresponding to an oil online monitoring and control method in an embodiment of the present application;

[0049] Figure 2 A schematic diagram of a flow chart of an oil online monitoring and control method in an embodiment of the present application;

[0050] Figure 3 A schematic diagram of a bubble contour model corresponding to an oil online monitoring and control method in an embodiment of the present application;

[0051] Figure 4 This is a structural schematic diagram of an oil online monitoring and control device in an embodiment of the present application;

[0052] Figure 5 This is a schematic diagram of the structure of an oil online monitoring and control system in an embodiment of the present application. DETAILED DESCRIPTION

[0053] In order to make the purpose, technical solution and advantages of the present application clearer, the technical solution of the present application will be clearly and completely described below in combination with the specific embodiments of the present application and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present application.

[0054] When using oil monitoring technology to count particles in oil and evaluate oil quality, there are many contaminants in the oil, such as impurities, water, metal particles and bubbles, which may cause errors in the oil particle counting results and make it impossible to accurately evaluate the oil quality. In addition, due to external factors such as temperature during actual monitoring, the counter may confuse bubbles with other contaminants, further affecting the oil quality evaluation results.

[0055] This is because when the temperature is high, the oil has good fluidity, which may increase the oil flow rate. When the flow rate increases, the bubbles tend to deform. After the bubbles are deformed, it is easy for the identification device to mistake the bubbles for other particles, resulting in errors in the particle counting results. Figure 1 As shown, the left part 101 is the state of bubbles inside the oil when the flow rate is fast, and the bubble shape is similar to an ellipse, which is easily confused with other particles; the right part 102 is the state of bubbles inside the oil when the flow rate is slow, and the bubble shape is similar to a circle, which is easy to distinguish from other particles.

[0056] Based on this, the embodiments of the present application provide an online oil monitoring and control method, device and system to solve the problem that the particle counting results of current oil monitoring are inaccurate and easily affected by external factors such as the environment, which confuses the counted material particles and makes it impossible to accurately evaluate the quality of oil products.

[0057] The following describes in detail various embodiments of the present application in conjunction with the accompanying drawings.

[0058] The present application embodiment provides an oil online monitoring and control method, such as Figure 1 As shown, the method may include steps S201-S205:

[0059] S201, determining an oil circulation image from an image acquisition device.

[0060] The image acquisition device is arranged inside a sampling pump through which the oil passes.

[0061] The execution subject of the oil online monitoring and control method in the present application may be a controller, which may be used as an oil monitoring sensor and is a physical device corresponding to the oil online monitoring and control device.

[0062] The image acquisition device can be arranged inside the sampling pump, and the sampling pump can be composed of a servo motor and a displacement pump. The rotation of the servo motor drives the oil to be transported through the displacement pump. At this time, the image acquisition device will be arranged inside the displacement pump to collect the oil circulation image during the oil transportation process. The image acquisition device can be a camera, connected to the controller, and sends the collected image to the controller.

[0063] S202: Determine the oil contaminant information in the oil circulation image based on a preset oil contaminant classification rule.

[0064] The oil pollutant information includes at least the pollutant type, pollutant location data, and pollutant quantity.

[0065] In the embodiment of the present application, based on the preset oil pollutant classification rule, the oil pollutant information in the oil circulation image is determined, specifically including:

[0066] Determine the appearance information of each pollutant in the oil circulation image. The appearance information includes at least the regularity of shape and transparency. Compare the appearance information with the preset oil pollutant classification rule to determine the oil pollutant information corresponding to each pollutant. The preset oil pollutant classification rule includes the correlation between each appearance information and each oil pollutant information.

[0067] In other words, after receiving the oil circulation image, the controller can first perform binarization processing, identify each pollutant pixel area in the image through pixels, and judge the shape regularity and transparency of each pollutant pixel area, so as to obtain the appearance information of each pollutant. The controller is pre-set with oil pollutant classification rules, which can distinguish bubbles, water, metal particles, etc. In the embodiment of the present application, the oil pollutant classification rule can be divided by shape. For example, due to the surface tension and gas pressure balance effect, the shape of the bubble in the oil is a regular circular shape with a hollow center; while the particles are irregular and solid, and the present application can further classify the size of the particles according to ISO, NAS or SAE standards. Using the oil pollutant classification rule and appearance information, the pollutant type, pollutant location data, and pollutant quantity can be obtained. The pollutant type is such as bubbles and particles. The pollutant location data refers to the pixel area coordinates of the pollutant in the oil circulation image, and the pollutant quantity can be the number of various pollutant types in the oil circulation image counted by the controller. At the same time, the pollutant size can also be obtained.

[0068] In another embodiment of the present application, the present application may also pre-set an image recognition model of oil contaminant classification rules in the controller, and use the model to distinguish oil contaminants. The image recognition model may be a pre-trained neural network model or a machine learning model, which is trained using image samples of several different types of contaminants and can recognize oil circulation images and distinguish different contaminants.

[0069] Through the above scheme, the oil pollutant classification rules can be used to identify and distinguish various pollutants of different shapes and states in the oil, so as to count the oil particle size and monitor the oil quality more easily and efficiently.

[0070] In the embodiments of the present application, too many bubbles in the oil will destroy the oil film on the working surface of the transmission equipment. Pitting and cavitation on the working surface of the transmission gear and sliding bearing are often caused by bubbles. Detecting the number of bubbles in the oil to evaluate the quality of the oil is an important means. Therefore, the present application needs to focus on bubble identification to prevent misidentification.

[0071] S203, screening bubble images whose pollutant type is bubbles in the oil circulation image, and determining bubble shape data corresponding to the bubble images.

[0072] In the embodiment of the present application, before screening the bubble images whose pollutant type is bubbles in the oil circulation image and determining the bubble shape data corresponding to the bubble images, the method further includes:

[0073] Determine a preset oil monitoring time interval. When it is determined that the current moment satisfies the computer modeling rule corresponding to the preset oil monitoring time interval, perform corresponding bubble screening processing on the oil circulation image collected at the current moment.

[0074] That is, before screening the bubbles in the oil circulation image, the present application may decide whether to screen based on the oil monitoring time interval preset by the user. In other words, only when the fixed oil monitoring time interval is reached, the controller will screen and model the bubble image. The computer modeling rule includes the oil monitoring time interval. For example, the bubble image is screened and modeled every three minutes. The oil monitoring time interval can be set by the user during actual use, and the present application does not specifically limit the oil monitoring time interval. The computer modeling rule can be understood as monitoring the current time and determining whether the current time has reached the oil monitoring time interval. If so, computer modeling will be performed. Computer modeling can be understood as obtaining bubble shape data through modeling such as PC programming.

[0075] In general, the speed of oil delivery is related to the speed and temperature of the servo motor, and the speed of oil delivery will affect the bubbles and may cause them to deform. The present application can monitor the deformation of bubbles, and then actively control the servo motor in the subsequent process to adjust the oil flow rate of oil delivery to prevent the controller from mistakenly identifying the deformed bubbles as other particles due to deformation. In actual use, the controller does not need to monitor in real time whether the bubbles are deformed and update the servo motor speed parameters, because excessively frequent adjustments to the servo motor speed parameters cannot better monitor the quality of the oil. Therefore, the present application provides the above-mentioned oil monitoring time interval, performs bubble screening processing, and performs subsequent bubble modeling. In order to use the bubble deformation related data to adjust the speed of the servo motor and adjust the oil flow rate to a reasonable flow rate, so as to better identify and distinguish bubbles from other particles.

[0076] In the embodiment of the present application, determining the bubble shape data corresponding to the bubble image specifically includes:

[0077] According to the screened bubble image and the computer modeling rules, the bubbles in the bubble image are computer modeled to obtain the corresponding bubble contour model. The bubble contour model at least includes the bubble contour and the bubble contour inscribed circle and the bubble contour circumscribed circle. The first radius corresponding to the bubble contour inscribed circle and the second radius corresponding to the bubble contour circumscribed circle are used as the bubble shape data of the bubble contour.

[0078] That is to say, the controller can establish the bubble contour model of the bubble contour and its inscribed circle and circumscribed circle through pre-set computer modeling rules, such as PC programming modeling. Figure 3 As shown, фA is the first radius corresponding to the inscribed circle of the bubble contour, фB is the second radius corresponding to the circumscribed circle of the bubble contour, and T is the difference between the second radius and the first radius.

[0079] In another embodiment of the present application, in order to better improve the calculation efficiency of the controller, the present application can screen the bubble image corresponding to the largest bubble when screening the bubble image. Then determine the bubble shape data corresponding to the bubble image of the largest bubble. Specifically, the present application is provided with a coarse filter in front of the sampling pump to filter large particles, such as setting a 100-mesh coarse filter to eliminate coarse impurities and particles larger than 150 μm (micrometer) in the oil, so as to prevent the controller from identifying large particles as bubbles. The controller can generate multiple comparison points in advance, for example, 8 comparison points are generated in the oil circulation image, and the size of each comparison point can be selected as 300 μm. This is because most bubbles are smaller than 300 μm in actual use. The comparison point size can be set by the user in actual use, and the present application does not make specific restrictions on this. The controller can compare the maximum length of each bubble (such as the major axis length of the ellipse) with the comparison point, and then obtain one or more largest bubbles closest to the comparison point. The controller performs computer modeling on the bubble image of the largest bubble obtained to generate bubble shape data.

[0080] Through the above steps, the computing resources of the controller can be saved and the efficiency of online oil monitoring and control can be improved.

[0081] S204, determining a bubble deformation factor corresponding to the bubble image based on the bubble shape data and a preset deformation parameter formula.

[0082] Among them, the bubble deformation factor is used to characterize the degree of bubble deformation.

[0083] In the embodiment of the present application, based on the bubble shape data and the preset deformation parameter formula, the bubble deformation factor corresponding to the bubble image is determined, specifically including:

[0084] The controller calculates the difference between the second radius and the first radius as the bubble deformation parameter, and calculates the ratio of the bubble deformation parameter to the first radius according to a preset deformation parameter formula to obtain the bubble deformation factor.

[0085] That is to say, the controller uses the above T as the bubble deformation parameter, T = фB-фA, and the bubble deformation factor is ΔT = T / фA. The bubble deformation factor is positively correlated with the oil flow rate.

[0086] The preset deformation parameter formula is ΔT=T / фA.

[0087] S205, matching the bubble deformation factor with a preset deformation factor interval to determine whether to update the current servo motor speed parameter according to the matching result, so as to control the oil flow rate of the sampling pump according to the current servo motor speed parameter or the updated servo motor speed parameter.

[0088] In the embodiment of the present application, the bubble deformation factor is matched with the preset deformation factor interval to determine whether to update the current servo motor speed parameter according to the matching result, so as to control the oil flow rate of the sampling pump according to the current servo motor speed parameter or the updated servo motor speed parameter, specifically including:

[0089] The bubble deformation factor is matched with the preset deformation factor interval to determine whether the bubble deformation factor is within the preset deformation factor interval. When it is determined that the bubble deformation factor is within the preset deformation factor interval, the current servo motor speed parameter is not updated to control the oil flow rate of the sampling pump according to the current servo motor speed parameter. When it is determined that the bubble deformation factor is not within the preset deformation factor interval, the current servo motor speed parameter is updated according to the bubble deformation factor, the current servo motor speed parameter and the preset update rule, so as to control the oil flow rate of the sampling pump through the updated servo motor speed parameter. Among them, the preset update rule includes a correction parameter for making the bubble deformation factor enter the preset deformation factor interval. The correction parameter is used to adjust the current servo motor speed parameter. The correction parameter is obtained according to the correspondence between the bubble deformation factor and the current servo motor speed parameter.

[0090] In other words, the controller is pre-set with a deformation factor interval containing at least one value of a bubble deformation factor, and the value contained in the deformation factor interval can be understood as the bubble deformation factor when the bubble can still be identified and distinguished from other particles when the bubble is deformed. If the current bubble deformation factor is within the preset deformation factor interval, it means that the current bubble can still be accurately identified, and there is no need to adjust the oil flow rate. If the bubble deformation factor is not within the preset deformation factor interval, it means that the current bubble may not be accurately identified and is easily confused with other particles, so the oil flow rate is adjusted.

[0091] When adjusting the oil flow rate, the correction parameter can be obtained through the correspondence between the bubble deformation factor and the current servo motor speed parameter, and the current servo motor speed parameter is adjusted and updated using the correction parameter. Among them, the correspondence between the bubble deformation factor and the current servo motor speed parameter can be understood as a binary group, each binary group may correspond to a correction parameter, and the controller can add the correspondence between the binary group and the correction parameter to a list as a list of preset update rules.

[0092] For example, if the oil flow rate adjustment is currently required, and the correction parameter is obtained by using the correspondence between the bubble deformation factor and the current servo motor speed parameter, if the correction parameter is a negative correction parameter -x, then the current servo motor speed parameter is added to the negative correction parameter, so that the current servo motor speed parameter is reduced, thereby reducing the oil flow rate; if the correction parameter is a positive correction parameter x, then the current servo motor speed parameter is added to the positive correction parameter, so that the current servo motor speed parameter is increased, thereby increasing the oil flow rate.

[0093] In the actual oil monitoring process, there are bubbles and particles stuck to the lens of the image acquisition device, which causes errors in the oil monitoring results and cannot accurately identify the oil quality. Therefore, the present application also provides the following embodiments, which specifically include:

[0094] Determine two oil circulation images that are continuous in the same time period within a preset oil monitoring time interval. Compare the two oil circulation images to determine whether there are the same oil contaminants. The same oil contaminants at least include the same contaminant type and the same contaminant location data. When it is determined that the same oil contaminants exist, generate a speed increase instruction to update the current servo motor speed parameter to a temporary servo motor speed parameter, so as to increase the oil flow rate according to the temporary servo motor speed parameter, until there are no same oil contaminants in the two oil circulation images that are continuous in the same time period, and restore the temporary servo motor speed parameter to the original servo motor speed parameter.

[0095] In other words, the controller can identify and compare two consecutive oil circulation images in the same time period, and compare whether there are pollutants of the same position, type and size in the two oil circulation images through information such as pollutant type, pollutant location data and pollutant size in the oil circulation images. If there are, it means that bubbles or impurities are attached to the lens. The controller can increase the current servo motor speed parameter to a temporary servo motor speed parameter that meets the speed increase rule according to the speed increase rule pre-set by the user, thereby increasing the oil flow rate so that the oil can flush the lens and prevent bubbles and particles from sticking to the lens.

[0096] Through the above-mentioned embodiment of flushing the lens, accurate evaluation of oil quality can be further guaranteed.

[0097] The two consecutive oil circulation images mentioned above can be understood as two consecutive oil circulation images in the same time period obtained by dividing according to a preset oil monitoring time interval.

[0098] During actual use, there may be a situation where multiple flushings still cannot remove the same pollutants in two oil circulation images. The controller can issue an alarm command to prompt the user to use other methods to remove the same pollutants.

[0099] Through the above scheme, this application can accurately distinguish pollutants in oil and adjust the oil flow rate by using the degree of bubble deformation to prevent bubbles from being deformed due to unreasonable oil flow rate caused by inappropriate servo motor speed or other external factors, so that bubbles are difficult to distinguish from other pollutants. This makes the particle counting results of oil monitoring more accurate, and it is not easy to confuse the counted particles, ensuring that the oil monitoring technology can accurately evaluate the quality of oil products.

[0100] Figure 4 A schematic diagram of the structure of an oil online monitoring and control device provided in an embodiment of the present application is shown in FIG. Figure 4 As shown, the oil online monitoring control device 400 includes:

[0101] The first determination module 401 is used to determine the oil circulation image from the image acquisition device. The image acquisition device is arranged inside the sampling pump through which the oil is supplied. The second determination module 402 is used to determine the oil contaminant information in the oil circulation image based on the preset oil contaminant classification rule. The oil contaminant information includes at least the contaminant type, the contaminant location data, and the contaminant quantity. The screening module 403 is used to screen the bubble image whose contaminant type is bubble in the oil circulation image, and determine the bubble shape data corresponding to the bubble image. The third determination module 404 is used to determine the bubble deformation factor corresponding to the bubble image based on the bubble shape data and the preset deformation parameter formula. The bubble deformation factor is used to characterize the degree of deformation of the bubble. The matching module 405 is used to match the bubble deformation factor with the preset deformation factor interval to determine whether to update the current servo motor speed parameter according to the matching result, so as to control the oil flow rate of the sampling pump according to the current servo motor speed parameter or the updated servo motor speed parameter.

[0102] The second determining module 402 is specifically configured to:

[0103] Determine the appearance information of each pollutant in the oil circulation image. The appearance information includes at least the regularity of shape and transparency. Compare the appearance information with the preset oil pollutant classification rule to determine the oil pollutant information corresponding to each pollutant. The preset oil pollutant classification rule includes the correlation between each appearance information and each oil pollutant information.

[0104] The oil online monitoring and control device 400 can also:

[0105] Determine a preset oil monitoring time interval. When it is determined that the current moment satisfies the computer modeling rule corresponding to the preset oil monitoring time interval, perform corresponding bubble screening processing on the oil circulation image collected at the current moment.

[0106] The screening module 403 is specifically used for:

[0107] According to the screened bubble image and the computer modeling rules, the bubbles in the bubble image are computer modeled to obtain the corresponding bubble contour model. The bubble contour model at least includes the bubble contour and the bubble contour inscribed circle and the bubble contour circumscribed circle. The first radius corresponding to the bubble contour inscribed circle and the second radius corresponding to the bubble contour circumscribed circle are used as the bubble shape data of the bubble contour.

[0108] The third determining module 404 is specifically configured to:

[0109] The difference between the second radius and the first radius is calculated as the bubble deformation parameter. According to the preset deformation parameter formula, the ratio of the bubble deformation parameter to the first radius is calculated to obtain the bubble deformation factor.

[0110] The matching module 405 is specifically used for:

[0111] The bubble deformation factor is matched with the preset deformation factor interval to determine whether the bubble deformation factor is within the preset deformation factor interval. If so, the current servo motor speed parameter is not updated to control the oil flow rate of the sampling pump according to the current servo motor speed parameter. Otherwise, the current servo motor speed parameter is updated according to the bubble deformation factor, the current servo motor speed parameter and the preset update rule to control the oil flow rate of the sampling pump through the updated servo motor speed parameter. Among them, the preset update rule includes a correction parameter for making the bubble deformation factor enter the preset deformation factor interval. The correction parameter is used to adjust the current servo motor speed parameter. The correction parameter is obtained according to the corresponding relationship between the bubble deformation factor and the current servo motor speed parameter.

[0112] The oil online monitoring and control device 400 can also:

[0113] Determine two oil circulation images that are continuous in the same time period within a preset oil monitoring time interval. Compare the two oil circulation images to determine whether there are the same oil contaminants. The same oil contaminants at least include the same contaminant type and the same contaminant location data. If so, generate a speed increase instruction to update the current servo motor speed parameter to a temporary servo motor speed parameter, so as to increase the oil flow rate according to the temporary servo motor speed parameter, until there are no same oil contaminants in the two oil circulation images that are continuous in the same time period, and restore the temporary servo motor speed parameter to the original servo motor speed parameter.

[0114] Figure 5 A schematic diagram of the structure of an oil online monitoring control system provided in an embodiment of the present application is shown in FIG. Figure 5 As shown, the system includes: an oil online monitoring control device OW001, a first manual ball valve MB001, a coarse filter YF001, a sampling pump PM001, a second manual ball valve MB002, an image acquisition device arranged inside the sampling pump, and an oil storage device 500.

[0115] The first manual ball valve MB001 is arranged at one end of the oil storage device 500, and is used to allow the oil in the oil storage device 500 to flow out. The coarse filter YF001 is arranged between the first manual ball valve MB001 and the sampling pump PM001, and is used to filter some impurities and particles. The rear end of the sampling pump PM001 is connected to the oil online monitoring control device OW001, and is used to transport oil and adjust the oil flow rate so that the oil online monitoring control device OW001 can perform oil online monitoring. The second manual ball valve MB002 is arranged at the other end of the oil storage device 500, and is used to allow the oil that has completed the oil online monitoring to enter the oil storage device 500.

[0116] The arrow points to the direction of oil delivery. The above coarse filter can be a 100-mesh coarse filter, which is used to eliminate coarse impurities and particles larger than 150 μm in the oil, and can prevent the PC from mistakenly modeling impurities and large particles as bubbles, because the particle size of free bubbles is relatively large and will not be filtered out by the coarse filter.

[0117] In another embodiment of the present application, the system also includes a leak detection sensor OV001 and a mounting seat NT001; the mounting seat NT001 is arranged below the various devices for conveying oil (including at least the oil online monitoring and control device OW001, the first manual ball valve MB001, the coarse filter YF001, the sampling pump PM001, the second manual ball valve MB002, the oil storage device 500, and the conveying pipeline), and the leak detection sensor OV001 is arranged on the plane of the mounting seat NT001, which is used to detect the oil leakage state during the oil conveying.

[0118] Each embodiment in this application is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device and system embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiments.

[0119] The device and system provided in the embodiments of the present application correspond one-to-one to the method. Therefore, the device and system also have similar beneficial technical effects as the corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the device and system will not be repeated here.

[0120] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0121] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. An oil online monitoring and control method, characterized in that: The method comprises: Determining an oil circulation image from an image acquisition device; wherein the image acquisition device is disposed inside a sampling pump through which the oil passes; Based on a preset oil pollutant classification rule, determine the oil pollutant information in the oil circulation image; the oil pollutant information at least includes the pollutant type, pollutant location data, and pollutant quantity; Screening the bubble images in which the pollutant type is bubbles in the oil circulation image, and determining the bubble shape data corresponding to the bubble images; Based on the bubble shape data and a preset deformation parameter formula, determining a bubble deformation factor corresponding to the bubble image; the bubble deformation factor is used to characterize the degree of bubble deformation; Matching the bubble deformation factor with a preset deformation factor interval to determine whether to update the current servo motor speed parameter according to the matching result, so as to control the oil flow rate of the sampling pump according to the current servo motor speed parameter or the updated servo motor speed parameter; Wherein, determining the bubble shape data corresponding to the bubble image specifically includes: According to the screened bubble image and the computer modeling rules, the bubbles in the bubble image are computer modeled to obtain a corresponding bubble contour model; the bubble contour model at least includes a bubble contour and an inscribed circle of the bubble contour and an circumscribed circle of the bubble contour; Using a first radius corresponding to the inscribed circle of the bubble contour and a second radius corresponding to the circumscribed circle of the bubble contour as the bubble shape data of the bubble contour; Wherein, based on the bubble shape data and a preset deformation parameter formula, determining the bubble deformation factor corresponding to the bubble image specifically includes: Calculate the difference between the second radius and the first radius as the bubble deformation parameter; According to the preset deformation parameter formula, the ratio of the bubble deformation parameter to the first radius is calculated to obtain the bubble deformation factor.

2. The oil online monitoring and control method according to claim 1 is characterized in that: Based on a preset oil contaminant classification rule, determining the oil contaminant information in the oil circulation image specifically includes: Determine the appearance information of each pollutant in the oil circulation image; the appearance information at least includes shape regularity and transparency; The appearance information is compared with the preset oil pollutant classification rule to determine the oil pollutant information corresponding to each pollutant; wherein the preset oil pollutant classification rule includes the correlation relationship between each appearance information and each oil pollutant information.

3. The oil online monitoring and control method according to claim 1 is characterized in that: Before screening the bubble images whose pollutant type is bubbles in the oil circulation image and determining the bubble shape data corresponding to the bubble images, the method further includes: Determine preset oil monitoring intervals; When it is determined that the current moment satisfies the computer modeling rule corresponding to the preset oil monitoring time interval, corresponding bubble screening processing is performed on the oil circulation image collected at the current moment.

4. The oil online monitoring and control method according to claim 1 is characterized in that: Matching the bubble deformation factor with a preset deformation factor interval to determine whether to update the current servo motor speed parameter according to the matching result, so as to control the oil flow rate of the sampling pump according to the current servo motor speed parameter or the updated servo motor speed parameter, specifically including: Matching the bubble deformation factor with the preset deformation factor interval to determine whether the bubble deformation factor is within the preset deformation factor interval; If yes, then the current servo motor speed parameter is not updated, so as to control the oil flow rate of the sampling pump according to the current servo motor speed parameter; Otherwise, the current servo motor speed parameter is updated according to the bubble deformation factor, the current servo motor speed parameter and the preset update rule, so as to control the oil flow rate of the sampling pump through the updated servo motor speed parameter; wherein the preset update rule includes a correction parameter for making the bubble deformation factor enter the preset deformation factor range; the correction parameter is used to adjust the current servo motor speed parameter; the correction parameter is obtained according to the correspondence between the bubble deformation factor and the current servo motor speed parameter.

5. The oil online monitoring and control method according to claim 1 is characterized in that: The method further comprises: Determine two oil circulation images that are continuous in time within the same time period within a preset oil monitoring time interval; Comparing the two oil circulation images to determine whether there are the same oil contaminants; the same oil contaminants at least include the same contaminant type and the same contaminant location data; If so, a speed increase instruction is generated to update the current servo motor speed parameter to a temporary servo motor speed parameter, so as to increase the oil flow rate according to the temporary servo motor speed parameter, until the two consecutive oil circulation images within the same time period do not contain the same oil contaminant, and the temporary servo motor speed parameter is restored to the original servo motor speed parameter.

6. An oil online monitoring and control device, characterized in that: The device comprises: A first determination module is used to determine an oil circulation image from an image acquisition device; wherein the image acquisition device is arranged inside a sampling pump through which the oil passes; A second determination module is used to determine the oil contaminant information in the oil circulation image based on a preset oil contaminant classification rule; the oil contaminant information at least includes the type of contaminant, the location data of the contaminant, and the amount of the contaminant; A screening module, used for screening bubble images whose pollutant type is bubbles in the oil circulation image, and determining bubble shape data corresponding to the bubble images; A third determination module is used to determine a bubble deformation factor corresponding to the bubble image based on the bubble shape data and a preset deformation parameter formula; the bubble deformation factor is used to characterize the degree of deformation of the bubble; A matching module, used for matching the bubble deformation factor with a preset deformation factor interval, and determining whether to update the current servo motor speed parameter according to the matching result, so as to control the oil flow rate of the sampling pump according to the current servo motor speed parameter or the updated servo motor speed parameter; Wherein, the screening module is specifically used for: According to the screened bubble image and the computer modeling rules, the bubbles in the bubble image are computer modeled to obtain a corresponding bubble contour model; the bubble contour model at least includes a bubble contour and an inscribed circle of the bubble contour and an circumscribed circle of the bubble contour; Using a first radius corresponding to the inscribed circle of the bubble contour and a second radius corresponding to the circumscribed circle of the bubble contour as the bubble shape data of the bubble contour; Wherein, the third determination module is specifically used for: Calculate the difference between the second radius and the first radius as the bubble deformation parameter; According to the preset deformation parameter formula, the ratio of the bubble deformation parameter to the first radius is calculated to obtain the bubble deformation factor.

7. An oil online monitoring and control system, characterized in that: The system comprises: the oil online monitoring control device as claimed in claim 6, a first manual ball valve, a coarse filter, a sampling pump, a second manual ball valve, an image acquisition device disposed inside the sampling pump, and an oil storage device; The first manual ball valve is arranged at one end of the oil storage device, and is used to allow the oil in the oil storage device to flow out; The coarse filter is arranged between the first manual ball valve and the sampling pump, and is used to filter some impurities and particles; The rear end of the sampling pump is connected to the oil online monitoring control device, and is used to transport oil and adjust the oil flow rate so that the oil online monitoring control device can perform oil online monitoring; The second manual ball valve is arranged at the other end of the oil storage device, and is used to allow the oil that has completed the online oil monitoring to enter the oil storage device.

8. The oil online monitoring and control system according to claim 7, characterized in that: The system also includes a leak detection sensor and a mounting base; The mounting seat is arranged below each device for conveying oil, and the leakage detection sensor is arranged on the plane of the mounting seat for detecting the oil leakage state when conveying oil.

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