CN113484202A - Oil particle multiple information detection method and application thereof - Google Patents
Oil particle multiple information detection method and application thereof Download PDFInfo
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Abstract
The invention relates to the technical field of oil detection, and discloses an oil particle multiple information detection method and application thereof. The oil particle multiple information detection method comprises a sampling step, a sample preparation step, a detection step and a data processing step; the method is characterized in that a scanning electron microscope and an energy spectrometer which are integrated with an intelligent particle research module are adopted to detect the oil liquid in the detection step, and any one or more items of particle information data of particle type, particle quantity, particle size range, particle serial number, main element proportion contained in a single particle and Feret maximum diameter of the single particle are obtained; the data processing step comprises the step of integrating the detected particle information data, so that the detection is more accurate, the analysis is more comprehensive, and the influence of human factors is greatly reduced.
Description
Technical Field
The invention relates to the technical field of oil detection, in particular to an oil particle multiple information detection method and application thereof.
Background
In modern industry, especially in aviation industry, the content, type, composition and the like of oil particle pollutants in airplane hydraulic systems, lubricating oil systems, fuel oil systems and the like are always very important detection indexes. On the one hand, these systems have strict standards for their cleanliness, and when the oil contains a large amount of harmful particles, they cause a certain degree of wear on the relevant equipment during operation, thereby reducing the service life of the equipment. On the other hand, when the system is in fault, such as jamming, damage, etc., the type and composition of solid particles in the oil can provide a solid data base for fault elimination.
At present, the detection methods for particle pollutants in oil are mainly divided into the following methods.
One is to use an automatic particle counter and apply the principle of a light resistance method (shading type) to detect the size and the quantity of solid particles in oil liquid such as hydraulic oil, lubricating oil and the like. Under the detection method, the components of the particles cannot be detected, and the particles cannot be respectively metal or nonmetal substances, so that the detection information is incomplete.
The other method is to use ferrography to make metal particles in the oil liquid orderly deposited by a magnetic field and analyze the particles. Ferrography is mainly used for analyzing the wear state of parts by observing the material, size, characteristics and number of wear particles by means of a high power microscope. In this detection method, the materials of the wear particles are distinguished by colors, and the detection and analysis process strongly depends on the experience of an individual, and the correctness of the conclusion is greatly related to the analyzer.
Therefore, in order to overcome the above-mentioned shortcomings of the prior art, a new method for detecting multiple information of oil particles is needed.
Disclosure of Invention
The invention aims to provide a novel oil particle multi-information detection method aiming at the defects of the prior art, which can detect and comprehensively analyze any one or more particle information data of particle types, particle quantity, particle size range, particle serial number, main element proportion contained in a single particle and Feret maximum diameter of the single particle according to requirements, and greatly reduce the influence of human factors.
The invention provides a method for detecting multiple information of oil particles, which comprises a sampling step, a sample preparation step, a detection step and a data processing step; the method is characterized in that a scanning electron microscope and an energy spectrometer which are integrated with an intelligent particle research module are adopted to detect the oil liquid in the detection step, and any one or more items of particle information data of particle type, particle quantity, particle size range, particle serial number, main element proportion contained in a single particle and Feret maximum diameter of the single particle are obtained; the data processing step includes integrating the detected particle information data;
the particle categories comprise iron-rich particles, copper-rich particles, zinc-rich particles, colloidal particles and sand;
the particle number comprises the number of particles in each particle category and the total number of all particles;
the particle size range refers to the size range of particles in each particle category;
the serial number of the particles is numbered according to single particles;
the main element proportion of the single particle refers to the element proportion of aluminum, iron, copper, zinc, silicon and manganese.
Further, in the detecting step, a plurality of particle information data of particle type, particle number, particle size range, particle number, main element proportion contained in a single particle and maximum diameter of the single particle are obtained; and in the data processing step, the particle type, the particle number and the particle size range are integrated together for displaying, and the obtained particle number, the ratio of main elements contained in a single particle and the maximum diameter of the single particle are integrated together for displaying.
Further, the particle size ranges are divided into threshold values with 5 μm, 15 μm, 25 μm, 50 μm, 100 μm, 150 μm, 200 μm, 400 μm, 600 μm, and 1000 μm as boundary points.
Secondly, the invention provides a hydraulic pump fault estimation method based on the oil particle multiplex information detection method, which is used for estimating the fault position of the hydraulic pump.
Moreover, the invention also provides a method for detecting the filtrate in the oil filter in the hydraulic system based on the method for detecting the multiple information of the oil particles, which is used for detecting the pollutants in the oil.
The invention has the following beneficial effects:
(1) the invention provides a method for detecting multiple information of oil particles, which overcomes the defect that the size and the number of solid particles in oil such as hydraulic oil, lubricating oil and the like can only be detected by using an automatic particle counter, and the incompleteness of information of particle components cannot be detected; secondly, the incompleteness that the ferrography depends on personal experience is overcome, and the method can detect multiple information such as the size, the quantity, the components and the like of particles in the oil liquid, and is very comprehensive and practical;
(2) the method can be applied to hydraulic pump fault prediction;
(3) the invention can be applied to the detection of oil pollutants in a hydraulic system.
Drawings
FIG. 1 is a schematic diagram of the method for detecting multiple information of oil particles according to the present invention.
Fig. 2 is an exemplary table containing information on particle type, number of particles, and particle size range.
FIG. 3 is a table showing an example of the maximum diameter of Feret in a single particle including the number of particles, the ratio of main elements contained in a single particle.
Detailed Description
The present invention will be described in further detail with reference to the following examples. This should not be understood as limiting the scope of the above-described subject matter of the present invention to the following examples. Various substitutions and alterations according to the general knowledge and conventional practice in the art are intended to be included within the scope of the present invention without departing from the technical spirit of the present invention as described above.
Example 1:
the embodiment discloses a method for detecting multiple information of oil particles, which comprises a sampling step, a sample preparation step, a detection step and a data processing step as shown in figure 1; the method is characterized in that a scanning electron microscope and an energy spectrometer which are integrated with an intelligent particle research module are adopted to detect the oil liquid in the detection step, and any one or more items of particle information data of particle type, particle quantity, particle size range, particle serial number, main element proportion contained in a single particle and Feret maximum diameter of the single particle are obtained; the data processing step includes integrating the detected particle information data;
the particle categories comprise iron-rich particles, copper-rich particles, zinc-rich particles, colloidal particles and sand;
the particle number comprises the number of particles in each particle category and the total number of all particles;
the particle size range refers to the size range of particles in each particle category;
the serial number of the particles is numbered according to single particles;
the main element proportion of the single particle refers to the element proportion of aluminum, iron, copper, zinc, silicon and manganese.
The sample preparation step comprises an ultrasonic link, a filtering link and a drying link.
(1) An ultrasonic link: 100ml of oil to be detected is injected into a beaker, a certain amount of water is injected into an ultrasonic cleaning machine, the beaker is vertically placed into the ultrasonic cleaning machine, and at the moment, the liquid level of the water in the ultrasonic cleaning machine is ensured to be lower than the liquid level of the oil in the beaker and higher than the lowest water injection level of the equipment. Starting an ultrasonic cleaning machine, setting the ultrasonic time to be 5min, and taking out the beaker after the ultrasonic cleaning machine is finished.
(2) And (3) a filtering link: assembling the upper nozzle filter flask, the Buchner funnel and the Buchner funnel support into a filter device, putting filter paper into the Buchner funnel, turning on a power switch of the filter device, slowly injecting oil to be detected in the beaker from the upside of the Buchner funnel, turning off a power supply when the oil is injected and no obvious liquid trace exists on the surface of the filter paper, and taking down the filter paper.
(3) And (3) drying: the filter paper is flatly laid in a watch glass, the watch glass is placed in an oven, the temperature of the oven is set to be 80 ℃, and the drying time is set to be 20 min.
The detection step comprises: and putting the filter paper on a sample platform of a scanning electron microscope, starting the scanning electron microscope integrated with the intelligent particle research module and an energy spectrometer, and detecting the sample.
Through the scanning electron microscope and the energy spectrometer integrated with the intelligent particle research module, each particle on the filter paper can be detected one by one, and all information including the particle type, the particle number, the particle size range, the particle serial number, the proportion of main elements contained in a single particle and the maximum diameter of the single particle Feret is obtained. Further, common elements to be detected can be set in the intelligent particle research module.
In general, in the detection step, a plurality of particle information data of particle type, particle number, particle size range, particle number, main element proportion contained in a single particle and single particle Feret maximum diameter are obtained; and in the data processing step, the particle type, the particle number and the particle size range are integrated together for displaying, and the obtained particle number, the ratio of main elements contained in a single particle and the maximum diameter of the single particle are integrated together for displaying.
For example: the obtained particle information data are integrated into a table containing information on particle type, particle number, and particle size range, as shown in fig. 2.
In fig. 2, the particle size range information divides the threshold values with 5 μm, 15 μm, 25 μm, 50 μm, 100 μm, 150 μm, 200 μm, 400 μm, 600 μm, 1000 μm as boundary points, and is divided into a plurality of sections: 5-15 μm, 15-25 μm, 25-50 μm, 50-100 μm, 100-150 μm, 150-200 μm, 200-400 μm, 400-600 μm, 600-1000 μm, 1000- μm. Each interval comprises a small endpoint value and does not comprise a large endpoint value; for example, the interval of "100-150 μm" includes 100 μm but does not include 150 μm. The particle sizes in the two intervals of "5 μm or less", "1000 μm and 1000 μm or more" were counted as "others".
Another example is: the obtained particle information data are integrated into a table containing the number of particles, the ratio of main elements contained in a single particle, and the maximum diameter of the single particle, as shown in fig. 3.
Example 2:
the present embodiment specifically describes the application of the detection method in the aspect of predicting the fault of the hydraulic pump on the basis of the multiple information detection method for oil particles disclosed in embodiment 1.
In modern industry, in particular in the aeronautics industry, hydraulic pumps are one of the indispensable components, and the wear of hydraulic pumps is the most important factor affecting their service life. The wear of the hydraulic pump is usually caused by the friction wear of the friction pair of the pump or the fatigue of the metal material inside the pump and the falling of the metal material. The wear of the hydraulic pump will cause the pressure of the pump to decrease, the temperature to increase, the flow to decrease, and the heavy cause the whole hydraulic pump to fail. Therefore, through the detection of the abrasion of the hydraulic pump, the early failure of the hydraulic pump can be identified, so that the visual maintenance is carried out, and the service life of the hydraulic pump is prolonged.
Currently, there are several main methods for detecting the hydraulic pump, one is a manual estimation method, that is, whether the hydraulic pump is worn or out of order is determined by listening to the rotation noise of the hydraulic pump or sensing the temperature and vibration of the housing of the hydraulic pump. The method strongly depends on personal experience, the correctness of the conclusion is greatly related to an analyst, and quantitative analysis cannot be realized. And secondly, the hydraulic pump is directly disassembled and decomposed, and the abrasion condition of the hydraulic pump is detected. This method is time consuming and laborious and does not allow conclusions to be drawn in a short time.
The implementation provides a novel hydraulic pump fault estimation method, which is used for detecting multiple information of oil particles of an oil sample collected before an oil return filter of a hydraulic pump shell.
The hydraulic pump fault estimation method comprises a sampling step, a sample preparation step, a detection step and a data processing step.
And in the sampling step, sampling an oil sample from a sampling point arranged before a pump shell of the hydraulic system returns to the oil filter.
The sampling point is arranged in front of a pump shell oil return filter of the hydraulic system, and the actual wear condition of the hydraulic pump can be reflected by detecting oil to be detected collected by the sampling point.
The sample preparation step comprises an ultrasonic link, a filtering link and a drying link which are sequentially carried out.
The ultrasonic link comprises the step of carrying out ultrasonic treatment on oil to be detected by using a beaker and an ultrasonic cleaning machine, so that wear particles are uniformly distributed in the oil. The filtering step comprises the steps of filtering oil to be detected by using a suction filtration device and filter paper, and collecting wear particles in the oil on the filter paper. The drying link comprises the steps of using a watch glass and an oven, placing filter paper in the watch glass, and drying residual oil.
And in the detection step, a scanning electron microscope and an energy spectrometer integrated with an intelligent particle research module are used for automatically and specifically analyzing all particles on the filter paper to obtain particle information data including particle serial numbers, the proportion of main elements contained in a single particle and the maximum diameter of the single particle.
The data processing step comprises the steps of firstly screening and eliminating interference particles through components, namely eliminating other impurity information except abrasion particles, such as colloidal particles, other metal particles and the like; and then the number of the wear particles, the ratio of main elements contained in the single particles and the maximum diameter of the single particles, which are integrated, are displayed, and the number of the wear particles can be obtained through the statistics of the number of the wear particles.
The hydraulic pump fault estimation method overcomes the defects that manual estimation depends on personal experience and the disassembly and decomposition of the hydraulic pump wastes time and labor, can quantitatively estimate the wear condition of the hydraulic pump on the basis of not disassembling the hydraulic pump and identify the early fault of the hydraulic pump, thereby performing visual maintenance and prolonging the service life of the hydraulic pump.
A # Hydraulic Pump Fault prediction example
The method for predicting the fault of the hydraulic pump in the embodiment comprises a sampling step, a sample preparation step, a detection step and a data processing step.
In the sampling step, the sampling point is arranged in front of a pump shell return oil filter of the hydraulic system, and 50ml of oil to be detected is collected through the sampling point.
In the sample preparation step, the ultrasonic link comprises the step of carrying out ultrasonic treatment on oil to be detected by using a beaker and an ultrasonic cleaning machine for 15 min.
In the filtering step, the oil to be detected after ultrasonic treatment is filtered, and the wear particles in the oil are collected on the filter paper.
In the drying link, the temperature of the oven is 80 ℃, and the drying time is 20 min.
In the detection step, a scanning electron microscope and an energy spectrometer integrated with an intelligent particle research module are used for carrying out detailed analysis on all particles on the filter paper.
In the data processing step, the interference particles are removed through component screening, namely other impurity information except the abrasion particles, such as colloidal particles and the like, is removed, and the serial number of the abrasion particles, the content ratio of elements and the maximum diameter of Feret are integrated into the following table 1.
| Number of wear particles | Maximum diameter of Feret | | Zn | Fe | |
| 1 | 18.04 | 57.42％ | 42.58％ | / | |
| 2 | 11.35 | 57.57％ | 42.43％ | / | |
| 3 | 24.63 | 58.68％ | 41.32％ | / | |
| 4 | 16.81 | 59.67％ | 40.33％ | / | |
| 5 | 19.23 | 58.62％ | 41.38％ | / | |
| 6 | 16.81 | 59.15％ | 40.85％ | / | |
| 7 | 20.45 | / | / | 100％ | |
| 8 | 13.17 | / | / | 100％ |
TABLE 1
In the failure prediction example of the A # hydraulic pump, a small amount of iron particles are from normal abrasion of the hydraulic pump, copper-zinc alloy is from abrasion of a certain key element in the pump, and a large amount of copper-zinc alloy is detected to indicate that the certain key element of the hydraulic pump is positioned at a failure edge and needs to be maintained in time. In contrast, the hydraulic pump fault estimation method does not need to rely on personal experience, and fault positioning time is greatly shortened.
Example 3:
the embodiment specifically describes the application of the detection method in the aspect of filter screen detection in oil filtration on the basis of the oil particle multiple information detection method disclosed in embodiment 1.
In modern industrial hydraulic systems, due to the formation within the system or intrusion outside the system, it is inevitable that contaminants, which may be particulate matter, gels or other substances, will be present in the hydraulic system. Contaminants can not only cause some wear to associated equipment, but also block small holes, seize the valve cartridge, and the like. The oil filter is the most effective method for controlling the cleanliness of hydraulic oil, under the method, pollutants in a hydraulic system can be gathered on the oil filter screen along with oil and form filter substances, through the detection of the filter substances in the oil filter, the types and the sources of the pollutants in the hydraulic system can be known, the preparation for predictive maintenance is made, and thought and data support can be provided for troubleshooting when the oil filter is blocked.
At present, methods for detecting the filtered substances in the oil filter are very limited, one is to judge for example the blockage by an observation method, and the method is only suitable for judging and analyzing by color, shape and the like when the filtered substances are large in volume. However, in this detection method, when the size of the filtrate is small, accurate detection and judgment cannot be made. The other is to observe and detect the components of the filtrate by a scanning electron microscope. Under the detection method, the filtered substances need to be manually stripped from the oil filter for detection, so that the situations of few detections and missed detections are easily caused, and the method strongly depends on personal experience, so that the correctness of the conclusion is greatly related to an analyst.
The implementation provides a novel method for detecting a filter in an oil filter, which is used for detecting multiple information of oil particles of an oil sample collected from a filter screen of the oil filter.
The method for detecting the filtrate in the oil filter comprises a sampling step, a sample preparation step, a detection step and a data processing step.
And in the sampling step, the oil filter of the hydraulic system is partially decomposed, the filter screen is taken out, and the filter screen is cut into samples of 5cm multiplied by 5 cm.
The sample preparation step comprises an ultrasonic link, a filtering link, a drying link and a film coating link which are sequentially carried out.
An ultrasonic link: putting a 5cm multiplied by 5cm filter screen sample into a beaker, and injecting petroleum ether with high-grade purity into the beaker to ensure that the liquid level is higher than the edge of the filter screen so as to ensure that the filter screen is completely immersed in the petroleum ether. And injecting a certain amount of water into the ultrasonic cleaning machine, vertically placing the beaker into the ultrasonic cleaning machine, and ensuring that the liquid level of the ultrasonic cleaning machine is lower than the opening of the beaker. Starting an ultrasonic cleaning machine, setting the ultrasonic time to be 15min, and taking out the beaker after the ultrasonic cleaning machine is finished. And taking the filter screen out of the beaker, and reserving the liquid to be detected in the beaker.
And (3) a filtering link: assembling the upper-nozzle filter flask, the Buchner funnel and the Buchner funnel support into a filter device, putting filter paper into the Buchner funnel horizontally, turning on a power switch of the filter device, slowly injecting liquid to be detected in the beaker from the upside of the Buchner funnel, turning off a power supply when the liquid is injected and no obvious liquid trace exists on the surface of the filter paper, and taking down the filter paper.
And (3) drying: the filter paper is flatly laid in a watch glass, the watch glass is placed in an oven, the temperature of the oven is set to be 80 ℃, and the drying time is set to be 20 min.
And (3) coating: putting the filter paper into a sputtering coating instrument, wherein the target material is a gold target, and the number of coating layers is 1.
And the step of detection, the filter paper after the film coating is finished is placed into a scanning electron microscope, the scanning electron microscope integrated with an intelligent particle research module and an energy spectrometer are started, and the sample is detected.
And in the data processing step, the detected particle number corresponding to the pollutant, the ratio of main elements contained in the single particle and the maximum diameter of the single particle Feret are integrated and displayed, and the particle number of the pollutant can be obtained through particle number statistics.
The method for detecting the filtered substances in the oil filter overcomes the defect that an observation method cannot detect small-size filtered substances, and overcomes the problems that the filtered substances are peeled off manually and then detected by a scanning electron microscope, so that the situations of few detections, missed detections and strong dependence on personal experience are easily caused. The invention can detect the information of the quantity of the filter substances in the oil filter, the content of the elements and the maximum diameter of Feret, can know the types of pollutants in the hydraulic system, can be prepared for predictive maintenance, and can provide thinking and data support for troubleshooting when the oil filter is blocked.
Detection example of filter in B # aircraft hydraulic system oil filter
The method for detecting the filtered substances in the oil filter of the aircraft hydraulic system comprises a sampling step, a sample preparation step, a detection step and a data processing step.
In the sampling step, 50ml of oil to be detected is extracted from a filter screen of the oil filter.
And in the ultrasonic step, a beaker and an ultrasonic cleaning machine are used for carrying out ultrasonic treatment on the oil to be detected for 15 min.
In the filtering step, the ultrasonic detection oil is filtered, and the wear particles in the oil are collected on the filter paper.
In the drying link, the temperature of the oven is 80 ℃, and the drying time is 20 min.
In the detection step, a scanning electron microscope and an energy spectrometer integrated with an intelligent particle research module are used for carrying out detailed analysis on all particles on the filter paper.
In the data processing step, the number of particles of the contaminant, the content ratio of elements contained therein, and the maximum diameter of Ferrett are integrated into the following tables 2 and 3.
| Class of particles | Number of particles | 5-15μm | 15-25μm | 25-50μm | 50-100μm | Others |
| Iron particles | 12 | 10 | 2 | / | / | / |
| |
2 | 2 | / | / | | / |
| Sand | ||||||
| 1 | / | 1 | / | / | / |
TABLE 2
| Number of particles | Maximum diameter of Feret | Mg | Al | | Fe | Ca | |
| 1 | 16.81 | / | / | / | 100％ | / | |
| 2 | 15.70 | / | / | / | 100％ | / | |
| 3 | 11.68 | / | / | / | 100％ | / | |
| 4 | 11.10 | / | / | / | 100％ | / | |
| 5 | 14.99 | / | / | / | 100％ | / | |
| 6 | 10.40 | / | / | / | 100％ | / | |
| 7 | 11.92 | / | / | / | 100％ | / | |
| 8 | 11.10 | / | / | / | 100％ | / | |
| 9 | 11.35 | / | / | / | 100％ | / | |
| 10 | 12.37 | / | / | / | 100％ | / | |
| 11 | 10.67 | / | / | / | 100％ | / | |
| 12 | 14.74 | / | / | / | 100％ | / | |
| 13 | 20.45 | 6.55％ | 14.78, | 32.45％ | / | 46.23％ | |
| 14 | 10.40 | / | 100％ | / | / | / | |
| 15 | 12.30 | / | 100％ | / | / | / |
TABLE 3
In the filter detection example of the B # aircraft hydraulic system oil filter, 12 iron particles are contained, wherein the size of 5-15 mu m is 10, the size of 15-25 mu m is 2, the size of aluminum particles is 2, the number of the aluminum particles is 5-15 mu m, and the number of sand is 1, and the iron particles is 15-25 mu m. Judging by multiple information of oil particles, wherein iron particles and aluminum particles are from pipe joints, pipes and the like in an airplane hydraulic system and are generated by normal abrasion of the airplane system; sand comes from the external environment and is brought into the aircraft system, and staff need purify the external environment.
The method for detecting the filtered substances in the oil filter of the aircraft hydraulic system overcomes the defects that an automatic particle counter can only detect the size and the number of particles and ferrography analysis depends on personal experience, and can effectively guide the work of workers.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (6)
1. A method for detecting multiple information of oil particles comprises a sampling step, a sample preparation step, a detection step and a data processing step; the method is characterized in that a scanning electron microscope and an energy spectrometer which are integrated with an intelligent particle research module are adopted to detect the oil liquid in the detection step, and any one or more items of particle information data of particle type, particle quantity, particle size range, particle serial number, main element proportion contained in a single particle and Feret maximum diameter of the single particle are obtained; the data processing step includes integrating the detected particle information data;
the particle categories comprise iron-rich particles, copper-rich particles, zinc-rich particles, colloidal particles and sand;
the particle number comprises the number of particles in each particle category and the total number of all particles;
the particle size range refers to the size range of particles in each particle category;
the serial number of the particles is numbered according to single particles;
the main element proportion of the single particle refers to the element proportion of aluminum, iron, copper, zinc, silicon and manganese.
2. The method according to claim 1, wherein the detecting step obtains information data of a plurality of particles including a particle type, a particle number, a particle size range, a particle number, a major element proportion of a single particle, and a maximum diameter of a single particle; and in the data processing step, the particle type, the particle number and the particle size range are integrated together for displaying, and the obtained particle number, the ratio of main elements contained in a single particle and the maximum diameter of the single particle are integrated together for displaying.
3. The method for detecting multiple information on oil particles according to claim 1, wherein the threshold is defined by using the particle size ranges of 5 μm, 15 μm, 25 μm, 50 μm, 100 μm, 150 μm, 200 μm, 400 μm, 600 μm, and 1000 μm as boundary points.
4. The method for detecting multiple information of oil particles according to any one of claims 1 to 3, wherein the sample preparation step comprises an ultrasonic step, a filtering step and a drying step.
5. A method for estimating the fault of a hydraulic pump based on the oil particle multi-information detection method as claimed in claim 1, which comprises a sampling step, a sample preparation step, a detection step and a data processing step; the method is characterized in that in the sampling step, sampling is carried out from a sampling point which is positioned in front of a hydraulic pump shell oil return filter, and an oil liquid sample to be detected is obtained; the sample preparation step comprises an ultrasonic link, a filtering link and a drying link which are sequentially carried out.
6. A method for detecting the filtrate in oil filtration based on the oil particle multiple information detection method of claim 1, comprising the steps of sampling, sample preparation, detection and data processing; the method is characterized in that in the sampling step, sampling is carried out on a filter screen of an oil filter of a hydraulic system to obtain an oil sample to be detected; the sample preparation step comprises an ultrasonic link, a filtering link, a drying link and a film coating link.
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