Algorithm model for judging aging trend of lubricating oil based on rotating oxygen bomb

Abstract

The invention discloses an algorithm model for judging the aging trend of lubricating oil based on a rotating oxygen bomb, and relates to the technical field of lubricating oil, the algorithm model comprises an aging algorithm module, a conductivity test module and an oxidation simulation module, the aging algorithm module is electrically connected with the conductivity test module and the oxidation simulation module, and the conductivity test module is electrically connected with the oxidation simulation module. The aging algorithm module is used for storing and counting conductivity test data and carrying out analysis and calculation, the conductivity test module is used for carrying out conductivity test by utilizing a conductivity phenomenon after a polar compound is dissolved in lubricating oil, and the oxidation simulation module is used for carrying out oxidation process simulation on the lubricating oil. The oxidation simulation module comprises an oxygen injection device, an oil circulating pump, a heating and pressurizing device and a sample groove, the oil circulating pump is connected with the sample groove through a pipeline, and the oxygen injection device and the heating and pressurizing device are mechanically connected with the sample groove.

Description

Technical Field

[0001] The invention relates to the technical field of lubricating oils, and in particular to an algorithm model for judging the aging trend of lubricating oils based on a rotating oxygen bomb. Background Art

[0002] Steam turbine oil is a lubricant specially used in steam turbines, gas turbines and other thermal machinery. Turbine oil will undergo a series of physical and chemical changes during long-term operation, which will cause its performance to deteriorate, thereby affecting its lubrication and protection capabilities. Rotating oxygen bomb is a method to test the oxidation level and aging state of lubricating oil. Its basic working principle is to monitor the oxidation reaction rate of oil products under high temperature and high pressure environment by controlling the supply of oxygen. During the oxidation process of turbine oil, some polar compounds will be produced. These compounds can increase the concentration of free ions in the oil, thereby increasing the conductivity. Therefore, by measuring the conductivity, the life of the lubricating oil can be calculated.

[0003] However, in actual use, due to the long-term contact between lubricating oil and mechanical parts, some metal particles will exist in the lubricating oil in the form of ions. When measuring the conductivity, there may be charged ions in the test path, resulting in an increase in conductivity, which will make the test results inaccurate and the life of the lubricating oil estimated too low. Therefore, it is necessary to design an accurate algorithm model based on a rotating oxygen bomb to judge the aging trend of lubricating oil. Summary of the invention

[0004] The purpose of the present invention is to provide an algorithm model for judging the aging trend of lubricating oil based on a rotating oxygen bomb, so as to solve the problems raised in the above background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: an algorithm model for judging the aging trend of lubricating oil based on a rotating oxygen bomb, comprising an aging algorithm module, a conductivity test module and an oxidation simulation module, wherein the aging algorithm module is electrically connected to the conductivity test module and the oxidation simulation module, the aging algorithm module is used to store and count the data of the conductivity test, and perform analysis and calculation, the conductivity test module is used to test the conductivity by utilizing the conductive phenomenon after polar compounds are dissolved in the lubricating oil, and the oxidation simulation module is used to simulate the oxidation process of the lubricating oil.

[0006] According to the above technical solution, the oxidation simulation module includes an oxygen injection device, an oil circulation pump, a heating and pressurizing device, and a sample tank. The oil circulation pump is connected to the sample tank pipeline, the oxygen injection device and the heating and pressurizing device are mechanically connected to the sample tank, the oxygen injection device is used to inject oxygen into the sample tank of the rotating oxygen bomb, the heating and pressurizing device is used to heat and pressurize the circulating lubricating oil in the sample tank, the oil circulation pump is used to pump the lubricating oil back and forth from the sample tank and the mechanical parts, and the sample tank is used to place the lubricating oil to be oxidized;

[0007] The conductivity test module includes a current emitting end, a current receiving end, a charged ion distribution calculation module, a measurement position adjustment module, and a conductivity calculation module. The charged ion distribution calculation module is electrically connected to the conductivity calculation module. The measurement position adjustment module is electrically connected to the current emitting end. The current emitting end is used to emit current into the lubricating oil. The current receiving end is used to receive the lubricating oil emitted by the current emitting end and passed through the lubricating oil as a conductive medium. The measurement position adjustment module is used to adjust the positions of the current emitting end and the current receiving end in the lubricating oil. The charged ion distribution calculation module is used to calculate the density of the charged ion distribution in the lubricating oil according to the design parameters. The conductivity calculation module is used to calculate the resistance of the circuit, that is, the conductivity of the liquid, according to the voltage and current.

[0008] The aging algorithm module includes a life analysis module, a life correction module, and a data storage module. The life analysis module is electrically connected to the current receiving end, the data storage module is electrically connected to the life analysis module and the current receiving end, and the life correction module is electrically connected to the charged ion distribution calculation module. The life analysis module is used to analyze the service life of the lubricating oil according to its conductivity, and the life correction module is used to calculate the interference of charged ions on the conductivity test results of the lubricating oil and correct the service life of the lubricating oil. The data storage module is used to store the historical life data and conductivity data of the lubricating oil, as well as the charged ion density data.

[0009] According to the above technical solution, the working method of the model includes:

[0010] S1. Place the lubricating oil sample in the sample tank, circulate the lubricating oil in the sample tank through an oil circulation pump to ensure the uniformity of the sample, inject oxygen into the sample tank, heat and pressurize the lubricating oil in the sample tank, and simulate the oxidation conditions in the actual working environment;

[0011] S2, adjusting the measuring positions of the current emitting end and the current receiving end in the lubricating oil, emitting current to the lubricating oil, and the current receiving end receiving the changes of the current and voltage after passing through the lubricating oil;

[0012] S3. Calculate the conductivity of the lubricating oil using Ohm's law based on the measured current and voltage data, and estimate the service life of the lubricating oil using the conductivity data;

[0013] S4. According to the design parameters of the lubricating oil and the working time of the mechanical parts, determine the number of charged ions and their increasing rate over time, calculate the distribution density of charged ions in the sample, and analyze the probability of current passing through the charged ions during the conductivity test;

[0014] S5. Combined with the data provided by the charged ion distribution calculation module, the conductivity test results are corrected, the influence of charged ions on conductivity is considered, the corrected value of conductivity is obtained, and the service life of the lubricating oil is calibrated.

[0015] According to the above technical solution, in S3, the specific method for estimating the service life of the lubricating oil using the conductivity data is:

[0016] S3-1. When the lubricating oil is used, the conductivity of the lubricating oil is tested at intervals T. Each test is performed n times within a time period T1. Each test randomly selects the lateral position of the current emitting end immersed in the lubricating oil to obtain the voltage results {V1, V2, ..., V n} and the current results of the entire test circuit {I1, I2, ..., I n}, the resistance of the circuit is the conductivity of the liquid Calculate and get {R1, R2, …, R n}, average the test results to get the average conductivity

[0017] S3-2. According to the calculation formula of the service life and conductivity of the lubricating oil, Z=μΔR-δ, where μ is the influence coefficient of conductivity on the service life, and δ is the influence coefficient excluding the initial conductivity of the lubricating oil.

[0018] According to the above technical solution, in S4, the specific method for calculating the distribution density of charged ions in the sample is: in a certain test of S3-1, the lubricating oil is used for x cycles, the total time of the lubricating oil is xT, the volume of the lubricating oil is V, and according to the experiment, the number of charged ions in the lubricating oil increases at a speed of v as the mechanical movement, that is, after xT, the distribution density of the charged ions is

[0019] According to the above technical solution, in S4, the probability of current passing through charged ions during conductivity testing is calculated as follows: let the distance between the current emitting end and the current receiving end be k1, the maximum range radius of the current from the current emitting end through the charged ions to the current receiving end be r, and the maximum range is πr 2 , the volume of lubricating oil that can affect the conductivity of charged ions is V1=k1πr 2 , assuming that the charged ions are uniformly distributed in the lubricating oil, the probability of the existence of charged ions within the lubricating oil volume V1 is The probability of an uncharged ion is

[0020] According to the above technical solution, in S5, when charged ions can affect the conductivity, the charged ions will make the test result of the conductivity larger, causing the limit conductivity R0 to be larger than the theoretical conductivity R, that is, R0 = R(1+τ), where τ is the conductivity deviation coefficient caused by the charged ions, and not all conductivity tests will make the test result larger, so the actual conductivity Calculate the actual conductivity R according to the formula g , where the theoretical conductivity R is the conductivity without considering the influence of charged ions, and the average conductivity ΔR obtained from the test needs to be corrected downward. The corrected result is

[0021] According to the above technical solution, in S5, the specific method for calibrating the service life of the lubricating oil is: the actual service life of the lubricating oil is When it is determined that Z0 exceeds the preset value, it means that the lubricating oil needs to be replaced.

[0022] Compared with the prior art, the beneficial effect achieved by the present invention is as follows: the present invention estimates the number of charged ions by measuring the increase rate and time of charged ions in the lubricating oil, thereby calculating the probability of the existence of charged ions in the test path when measuring conductivity, thereby making targeted corrections to the conductivity results, being able to eliminate the influence of excessive conductivity caused by charged ions, and more accurately judge the aging trend of the lubricating oil. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0024] Figure 1 It is a schematic diagram of the overall module structure of the present invention. DETAILED DESCRIPTION

[0025] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0026] See also Figure 1 The present invention provides a technical solution: an algorithm model for judging the aging trend of lubricating oil based on a rotating oxygen bomb, comprising an aging algorithm module, a conductivity test module and an oxidation simulation module, wherein the aging algorithm module is electrically connected to the conductivity test module and the oxidation simulation module, the aging algorithm module is used to store and count the data of the conductivity test, and to perform analysis and calculation, the conductivity test module is used to test the conductivity by utilizing the conductive phenomenon after polar compounds are dissolved in the lubricating oil, and the oxidation simulation module is used to simulate the oxidation process of the lubricating oil;

[0027] The oxidation simulation module includes an oxygen injection device, an oil circulation pump, a heating and pressurizing device, and a sample tank. The oil circulation pump is connected to the sample tank pipeline, the oxygen injection device and the heating and pressurizing device are mechanically connected to the sample tank, the oxygen injection device is used to inject oxygen into the sample tank of the rotating oxygen bomb, the heating and pressurizing device is used to heat and pressurize the circulating lubricating oil in the sample tank, the oil circulation pump is used to pump the lubricating oil back and forth from the sample tank and the mechanical parts, and the sample tank is used to place the lubricating oil to be oxidized;

[0028] The conductivity test module includes a current emitting end, a current receiving end, a charged ion distribution calculation module, a measurement position adjustment module, and a conductivity calculation module. The charged ion distribution calculation module is electrically connected to the conductivity calculation module, and the measurement position adjustment module is electrically connected to the current emitting end. The current emitting end is used to emit current into the lubricating oil, and the current receiving end is used to receive the lubricating oil emitted by the current emitting end and passed through the lubricating oil as a conductive medium. The measurement position adjustment module is used to adjust the positions of the current emitting end and the current receiving end in the lubricating oil. The charged ion distribution calculation module is used to calculate the density of the charged ion distribution in the lubricating oil according to the design parameters, and the conductivity calculation module is used to calculate the resistance of the circuit, that is, the conductivity of the liquid, according to the voltage and current.

[0029] The aging algorithm module includes a life analysis module, a life correction module, and a data storage module. The life analysis module is electrically connected to the current receiving end, the data storage module is electrically connected to the life analysis module and the current receiving end, the life correction module is electrically connected to the charged ion distribution calculation module, the life analysis module is used to analyze the service life of the lubricating oil according to its conductivity, the life correction module is used to calculate the interference of the charged ions on the conductivity test result of the lubricating oil and correct the service life of the lubricating oil, and the data storage module is used to store the historical life data and conductivity data of the lubricating oil, as well as the charged ion density data;

[0030] The model's working methods include:

[0031] S1. Place the lubricating oil sample in the sample tank, circulate the lubricating oil in the sample tank through an oil circulation pump to ensure the uniformity of the sample, inject oxygen into the sample tank, heat and pressurize the lubricating oil in the sample tank, and simulate the oxidation conditions in the actual working environment;

[0032] S2, adjusting the measuring positions of the current emitting end and the current receiving end in the lubricating oil, emitting current to the lubricating oil, and the current receiving end receiving the changes of the current and voltage after passing through the lubricating oil;

[0033] S3. Calculate the conductivity of the lubricating oil using Ohm's law based on the measured current and voltage data, and estimate the service life of the lubricating oil using the conductivity data;

[0034] S4. According to the design parameters of the lubricating oil and the working time of the mechanical parts, determine the number of charged ions and their increasing rate over time, calculate the distribution density of charged ions in the sample, and analyze the probability of current passing through the charged ions during the conductivity test;

[0035] S5. Combined with the data provided by the charged ion distribution calculation module, the conductivity test results are corrected, the influence of the charged ions on the conductivity is considered, the corrected value of the conductivity is obtained, and the service life of the lubricating oil is calibrated;

[0036] In S3, the specific method for estimating the service life of lubricating oil using conductivity data is as follows:

[0037] S3-1. When the lubricating oil is used, the conductivity of the lubricating oil is tested at intervals T. Each test is performed n times within a time period T1. Each test randomly selects the lateral position of the current emitting end immersed in the lubricating oil to obtain the voltage results {V1, V2, ..., V n} and the current results of the entire test circuit {I1, I2, ..., I n}, the resistance of the circuit is the conductivity of the liquid Calculate and get {R1, R2, …, R n}, average the test results to get the average conductivity

[0038] S3-2, according to the calculation formula of the service life and conductivity of the lubricating oil Z = μΔR-δ, where μ is the influence coefficient of conductivity on the service life, and δ is the influence coefficient excluding the initial conductivity of the lubricating oil;

[0039] In S4, the specific method for calculating the distribution density of charged ions in the sample is as follows: In a test of S3-1, the lubricant is used for x cycles, the total time of the lubricant is xT, and the volume of the lubricant is V. According to the experiment, the number of charged ions in the lubricant increases at a speed of v as the mechanical movement progresses. That is, after xT, the distribution density of the charged ions is

[0040] In S4, the probability of current passing through charged ions during conductivity testing is calculated as follows: let the distance between the current emitting end and the current receiving end be k1, the maximum range radius of the current from the current emitting end through the charged ions to the current receiving end be r, and the maximum range is πr 2 , the volume of lubricating oil that can affect the conductivity of charged ions is V1=k1πr 2 , assuming that the charged ions are uniformly distributed in the lubricating oil, the probability of the existence of charged ions within the lubricating oil volume V1 is The probability of an uncharged ion is

[0041] In S5, when charged ions can affect the conductivity, the charged ions will make the test result of the conductivity biased, causing the limit conductivity R0 to be larger than the theoretical conductivity R, that is, R0 = R(1+τ), where τ is the conductivity deviation coefficient caused by the charged ions. However, not all conductivity tests will make the test result biased, so the actual conductivity Calculate the actual conductivity R according to the formula g , where the theoretical conductivity R is the conductivity without considering the influence of charged ions, and the average conductivity ΔR obtained from the test needs to be corrected downward. The corrected result is

[0042] In S5, the specific method for calibrating the service life of the lubricating oil is: the actual service life of the lubricating oil is When it is determined that Z0 exceeds the preset value, it means that the lubricating oil needs to be replaced.

[0043] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article 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, article or device.

[0044] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An algorithm model for judging lubricating oil aging trend based on a rotating oxygen bomb, characterized in that: It includes an aging algorithm module, a conductivity test module and an oxidation simulation module. The aging algorithm module is electrically connected to the conductivity test module and the oxidation simulation module. The aging algorithm module is used to store and count the data of the conductivity test and perform analysis and calculation. The conductivity test module is used to test the conductivity by utilizing the conductive phenomenon after polar compounds are dissolved in lubricating oil. The oxidation simulation module is used to simulate the oxidation process of the lubricating oil.

2. The algorithm model for judging lubricating oil aging trend based on rotating oxygen bomb according to claim 1 is characterized in that: The oxidation simulation module includes an oxygen injection device, an oil circulation pump, a heating and pressurizing device, and a sample tank. The oil circulation pump is connected to the sample tank pipeline, the oxygen injection device and the heating and pressurizing device are mechanically connected to the sample tank, the oxygen injection device is used to inject oxygen into the sample tank of the rotating oxygen bomb, the heating and pressurizing device is used to heat and pressurize the circulating lubricating oil in the sample tank, the oil circulation pump is used to pump the lubricating oil back and forth from the sample tank and the mechanical parts, and the sample tank is used to place the lubricating oil to be oxidized; The conductivity test module includes a current emitting end, a current receiving end, a charged ion distribution calculation module, a measurement position adjustment module, and a conductivity calculation module. The charged ion distribution calculation module is electrically connected to the conductivity calculation module. The measurement position adjustment module is electrically connected to the current emitting end. The current emitting end is used to emit current into the lubricating oil. The current receiving end is used to receive the lubricating oil emitted by the current emitting end and passed through the lubricating oil as a conductive medium. The measurement position adjustment module is used to adjust the positions of the current emitting end and the current receiving end in the lubricating oil. The charged ion distribution calculation module is used to calculate the density of the charged ion distribution in the lubricating oil according to the design parameters. The conductivity calculation module is used to calculate the resistance of the circuit, that is, the conductivity of the liquid, according to the voltage and current. The aging algorithm module includes a life analysis module, a life correction module, and a data storage module. The life analysis module is electrically connected to the current receiving end, the data storage module is electrically connected to the life analysis module and the current receiving end, and the life correction module is electrically connected to the charged ion distribution calculation module. The life analysis module is used to analyze the service life of the lubricating oil according to its conductivity, and the life correction module is used to calculate the interference of charged ions on the conductivity test results of the lubricating oil and correct the service life of the lubricating oil. The data storage module is used to store the historical life data and conductivity data of the lubricating oil, as well as the charged ion density data.

3. The algorithm model for judging lubricating oil aging trend based on rotating oxygen bomb according to claim 2 is characterized in that: The model's working methods include: S1. Place the lubricating oil sample in the sample tank, circulate the lubricating oil in the sample tank through an oil circulation pump to ensure the uniformity of the sample, inject oxygen into the sample tank, heat and pressurize the lubricating oil in the sample tank, and simulate the oxidation conditions in the actual working environment; S2, adjusting the measuring positions of the current emitting end and the current receiving end in the lubricating oil, emitting current to the lubricating oil, and the current receiving end receiving the changes of the current and voltage after passing through the lubricating oil; S3. Calculate the conductivity of the lubricating oil using Ohm's law based on the measured current and voltage data, and estimate the service life of the lubricating oil using the conductivity data; S4. According to the design parameters of the lubricating oil and the working time of the mechanical parts, determine the number of charged ions and their increasing rate over time, calculate the distribution density of charged ions in the sample, and analyze the probability of current passing through the charged ions during the conductivity test; S5. Combined with the data provided by the charged ion distribution calculation module, the conductivity test results are corrected, the influence of charged ions on conductivity is considered, the corrected value of conductivity is obtained, and the service life of the lubricating oil is calibrated.

4. The algorithm model for judging lubricating oil aging trend based on rotating oxygen bomb according to claim 3 is characterized in that: In S3, the specific method for estimating the service life of the lubricating oil using the conductivity data is: S3-1. When the lubricating oil is used, the conductivity of the lubricating oil is tested at intervals T. Each test is performed n times within a time period T1. Each test randomly selects the lateral position of the current emitting end immersed in the lubricating oil to obtain the voltage results {V1, V2, ..., V n } and the current results of the entire test circuit {I1, I2, ..., I n }, the resistance of the circuit is the conductivity of the liquid Calculate and get {R1, R2, …, R n }, average the test results to get the average conductivity S3-2. According to the calculation formula of the service life and conductivity of the lubricating oil, Z=μΔR-δ, where μ is the influence coefficient of conductivity on the service life, and δ is the influence coefficient excluding the initial conductivity of the lubricating oil.

5. The algorithm model for judging lubricating oil aging trend based on rotating oxygen bomb according to claim 4 is characterized in that: In S4, the specific method for calculating the distribution density of charged ions in the sample is as follows: in a test of S3-1, the lubricant is used for x cycles, the total time of the lubricant is xT, the volume of the lubricant is V, and according to the experiment, the number of charged ions in the lubricant increases at a speed of v as the mechanical movement progresses, that is, after xT, the distribution density of the charged ions is 6. The algorithm model for judging lubricating oil aging trend based on rotating oxygen bomb according to claim 5 is characterized in that: In S4, the probability of current passing through charged ions during conductivity testing is calculated as follows: let the distance between the current emitting end and the current receiving end be k1, the maximum range radius of the current from the current emitting end through the charged ions to the current receiving end be r, and the maximum range is πr 2 , the volume of lubricating oil that can affect the conductivity of charged ions is V1=k1πr 2 , assuming that the charged ions are uniformly distributed in the lubricating oil, the probability of the existence of charged ions within the lubricating oil volume V1 is The probability of an uncharged ion is 7. The algorithm model for judging lubricating oil aging trend based on rotating oxygen bomb according to claim 6 is characterized by: In S5, when charged ions can affect the conductivity, the charged ions will make the test result of the conductivity larger, causing the limit conductivity R0 to be larger than the theoretical conductivity R, that is, R0 = R(1+τ), where τ is the conductivity deviation coefficient caused by the charged ions, and not all conductivity tests will make the test result larger, so the actual conductivity Calculate the actual conductivity R according to the formula g , where the theoretical conductivity R is the conductivity without considering the influence of charged ions, and the average conductivity ΔR obtained from the test needs to be corrected downward. The corrected result is 8. The algorithm model for judging lubricating oil aging trend based on rotating oxygen bomb according to claim 7 is characterized in that: In S5, the specific method for calibrating the service life of the lubricating oil is: the actual service life of the lubricating oil is When it is determined that Z0 exceeds the preset value, it means that the lubricating oil needs to be replaced.

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