A method, device and system for online monitoring and processing of oil viscosity

Abstract

The present invention discloses an online monitoring and processing method, device and system for oil viscosity, which belongs to the technical field of oil monitoring. The method first converts the collected and calculated kinematic viscosity into a standard measured kinematic viscosity at a standard temperature, eliminates the influence of temperature on viscosity, calculates the difference between the standard measured kinematic viscosity and the standard reference kinematic viscosity at a standard temperature, compares the difference with a threshold value, and determines whether the oil viscosity is abnormal. Once the oil viscosity is found to be abnormal, an alarm is issued for the abnormal data, and the oil is processed in time through a processing branch. The viscosity-temperature reference curve is obtained by measuring new oil, and abnormal values ​​are eliminated during the acquisition process, so that the viscosity-temperature reference curve is true and reliable. The present invention overcomes the monitoring error caused by the fluctuation of measurement data and temperature changes in oil viscosity, avoids many shortcomings of manual sampling and detection, and can monitor the changes in oil viscosity in real time, quickly and accurately, so as to facilitate the timely discovery and resolution of oil quality problems.

Description

Technical Field

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

[0002] In the power system, the quality of power oil is directly related to the operating conditions and overall safety of the unit. As an important parameter to measure its quality, the viscosity of the oil has a significant impact on the performance and service life of the unit. Although traditional laboratory viscosity measurement methods, such as falling ball, capillary, and rotary methods, can accurately measure the viscosity of oil at a specific temperature, these methods usually need to be performed in a laboratory environment, involving multiple steps such as taking oil samples on site, transporting them to the laboratory, and waiting for measurement results. Not only is the measurement process complicated and has poor real-time performance, but it is also difficult to adapt to the needs of industrial sites for real-time monitoring of oil viscosity.

[0003] In particular, for some oils with poor viscosity-temperature characteristics, their viscosity changes greatly with temperature, which makes traditional laboratory measurement methods face greater challenges in practical applications. On the one hand, due to temperature changes, the viscosity of the oil may change significantly, resulting in a large difference between the viscosity measured in the laboratory and the viscosity of the oil in actual operation; on the other hand, due to the complexity of the measurement process and the lack of real-time performance, traditional laboratory measurement methods are difficult to achieve online monitoring of oil viscosity and cannot detect abnormal oil viscosity in time, which may bring potential risks to the safe operation of the unit. Summary of the invention

[0004] The purpose of the present invention is to overcome the shortcomings of the above-mentioned prior art and to provide an online monitoring and processing method, device and system for oil viscosity so as to solve the problem in the prior art that it is difficult to detect abnormal oil viscosity by real-time measurement of oil viscosity during actual operation.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] An oil viscosity online monitoring and processing method comprises the following steps:

[0007] S1, obtaining the measured temperature and measured kinematic viscosity of the circulating oil;

[0008] S2, obtaining the standard measured kinematic viscosity at the standard temperature by measuring the measured kinematic viscosity at the temperature and the reference kinematic viscosity on the viscosity-temperature reference curve at the temperature, and comparing the standard measured kinematic viscosity with the reference kinematic viscosity on the viscosity-temperature reference curve at the standard temperature. If the difference between the two is greater than the set threshold, execute S3, otherwise execute S1 and S2 in a loop;

[0009] The process of obtaining the viscosity-temperature reference curve is as follows: collecting new oil parameters at set intervals to obtain several groups of new oil parameters, each group of new oil parameters consisting of multiple new oil parameters, the new oil parameters including kinematic viscosity and the temperature corresponding to the kinematic viscosity; obtaining a judgment value of a subsequent group of new oil parameters based on the previous group of new oil parameters, and eliminating abnormal kinematic viscosity values ​​in the subsequent group of new oil parameters through the judgment value; obtaining a viscosity-temperature reference curve through the remaining kinematic viscosity and the temperature corresponding to the kinematic viscosity;

[0010] S3, sends out the oil viscosity monitoring results.

[0011] A further improvement of the present invention is:

[0012] Preferably, in S2, the process of collecting new oil parameters at set intervals to obtain several groups of new oil parameters is as follows: collecting the temperature and dynamic viscosity of the oil at set times, and converting the dynamic viscosity into kinematic viscosity; collecting k new oil parameters, each k new oil parameters forming a group, and collecting a total of n groups of new oil parameters, where k and n are both natural numbers ≥1.

[0013] Preferably, in S2, the specific process of obtaining the judgment value of the next set of new oil parameters based on the previous set of new oil parameters is as follows:

[0014] The average value and standard deviation of the kinematic viscosity in the previous group of new oil parameters are calculated, and the judgment value of the next group of new oil parameters is obtained through the average value and standard deviation of the previous group of kinematic viscosity.

[0015] Preferably, the kinematic viscosity calculation formula is:

[0016]

[0017] The mean value and standard deviation of the kinematic viscosity are calculated as follows:

[0018]

[0019]

[0020] The calculation formula for the judgment value of the k+1th new oil parameter in the latter group is:

[0021]

[0022] in, represents the new oil density collected at the i-th moment, represents the dynamic viscosity of the new oil collected at the i-th moment, represents the kinematic viscosity calculated at the i-th moment, k represents a group of k new oil parameters, n represents a total of n groups of new oil parameters, represents the average value of the new oil parameters of group j, represents the standard deviation of the jth group of new oil parameters, represents the k+1th judgment value of the j+1th group, Represents the kinematic viscosity calculated at the k+1th moment.

[0023] Preferably, the method of eliminating abnormal kinematic viscosity values ​​in the next group of new oil parameters by judging the value is as follows: if the judgment value of a kinematic viscosity in the next group of new oil parameters satisfies the following formula, the kinematic viscosity in the next group of new oil parameters is determined to be an abnormal value;

[0024]

[0025] h=0.0068*Vg+1.7133

[0026] Wherein, h represents the constraint coefficient, Vg represents the oil viscosity grade, and the value range is 32~320. Represents the k+1th judgment value of the j+1th group.

[0027] Preferably, in S2, the set threshold range is 15%~25%.

[0028] Preferably, in S2, the viscosity-temperature reference curve is obtained by calculating the remaining kinematic viscosity and the temperature corresponding to the kinematic viscosity through the least square method.

[0029] Preferably, in S2, the specific process of obtaining the standard measured kinematic viscosity at the standard temperature is: obtaining the reference kinematic viscosity at the measuring temperature through the viscosity-temperature reference curve, and then obtaining the ratio η of the measured kinematic viscosity and the reference kinematic viscosity at the measuring temperature; multiplying the reference kinematic viscosity and the ratio η on the viscosity-temperature reference curve at the standard temperature to obtain the standard measured kinematic viscosity at the standard temperature.

[0030] An oil viscosity online monitoring and processing device, comprising:

[0031] An acquisition module, used to obtain the measured temperature and measured kinematic viscosity of the circulating oil;

[0032] A comparison module is used to obtain a standard measured kinematic viscosity at a standard temperature by measuring the measured kinematic viscosity at the temperature and the reference kinematic viscosity on the viscosity-temperature reference curve at the temperature, and compare the standard measured kinematic viscosity with the reference kinematic viscosity on the viscosity-temperature reference curve at the standard temperature. If the difference between the two is greater than a set threshold, the processing module is executed, otherwise the acquisition module and the comparison module are executed cyclically;

[0033] The process of obtaining the viscosity-temperature reference curve is as follows: collecting new oil parameters at set intervals to obtain several groups of new oil parameters, each group of new oil parameters consisting of multiple new oil parameters, the new oil parameters including kinematic viscosity and the temperature corresponding to the kinematic viscosity; obtaining a judgment value of a subsequent group of new oil parameters based on the previous group of new oil parameters, and eliminating abnormal kinematic viscosity values ​​in the subsequent group of new oil parameters through the judgment value; obtaining a viscosity-temperature reference curve through the remaining kinematic viscosity and the temperature corresponding to the kinematic viscosity;

[0034] The processing module is used to issue oil viscosity monitoring results.

[0035] An oil viscosity online monitoring and processing system for implementing the above-mentioned oil viscosity online monitoring and processing method comprises a monitoring branch and a processing branch connected in parallel, wherein the monitoring branch is provided with an oil viscosity monitoring device; the oil viscosity monitoring device executes the above-mentioned oil viscosity online monitoring and processing method. The processing branch is provided with an oil inlet valve, an oil pump motor, a purification device and an oil outlet valve in sequence along the flow direction of the oil;

[0036] The oil viscosity monitoring device is provided with an oil temperature control pool, and the oil temperature control pool is provided with a viscosity sensor and a second temperature sensor;

[0037] The oil viscosity monitoring device, the oil inlet valve, the oil pump motor, the purification device and the oil outlet valve are connected to an intelligent controller through common electrical signals.

[0038] Compared with the prior art, the present invention has the following beneficial effects:

[0039] The invention discloses an online monitoring and processing method for oil viscosity. First, the standard measured kinematic viscosity at standard temperature is obtained by measuring the measured kinematic viscosity at temperature and the reference kinematic viscosity on the viscosity-temperature reference curve at temperature to eliminate the influence of temperature on viscosity. The standard measured kinematic viscosity and the reference kinematic viscosity on the viscosity-temperature reference curve at standard temperature are compared to determine whether the oil viscosity is abnormal. Once the oil viscosity is abnormal, an alarm is issued for the abnormal data, and the abnormal data is processed in time through a processing branch. The viscosity-temperature reference curve is obtained by measuring new oil, which is oil that has not been recycled and is used for the first time, so that the viscosity-temperature reference curve is representative; abnormal values ​​are eliminated during the process of obtaining the viscosity-temperature reference curve, so that the viscosity-temperature reference curve is true and reliable. The invention overcomes the monitoring error caused by the fluctuation of measurement data and temperature change of oil viscosity, avoids many shortcomings of manual sampling and detection, and can monitor the change of oil viscosity in real time, quickly and accurately and transmit the data to a computer terminal, so as to facilitate timely discovery and resolution of oil quality problems.

[0040] The present invention also discloses an online monitoring and processing system for oil viscosity. The system is provided with a monitoring branch and a processing branch. The monitoring branch is provided with an oil viscosity monitoring device. When the oil viscosity monitoring device detects that the oil viscosity does not meet the requirements, timely processing can be performed through the processing branch. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 This is a flow chart of an oil viscosity online monitoring and processing method of the present invention;

[0042] Figure 2 This is a structural diagram of an oil viscosity online monitoring and processing device of the present invention;

[0043] Figure 3 It is a structural diagram of an oil viscosity online monitoring and processing system of the present invention;

[0044] Figure 4 This is the structural diagram of the oil viscosity monitoring device;

[0045] Figure 5 Comparison chart before and after removing outliers for data processing;

[0046] Figure 6 is the viscosity-temperature reference curve obtained by fitting.

[0047] Among them: 1. Oil viscosity monitoring device; 2. Oil inlet valve; 3. Magnetic pre-filter; 4. Oil pump motor; 5. Heater; 6. Purification regenerator; 7. Bypass valve; 8. Electronic flow meter; 9. Oil outlet valve; 10. Intelligent controller; 11. Monitoring branch; 12. Processing branch; 13. Branch; 111. First temperature sensor; 112. Oil filtering device; 113. Oil pump; 114. Oil temperature control pool; 115. Pressure sensor; 116. Pressure control device; 117. Viscosity sensor; 118. Second temperature sensor; 119. Heating plate. DETAILED DESCRIPTION

[0048] The present invention is further described in detail below in conjunction with the accompanying drawings:

[0049] In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention; the terms "first", "second", and "third" are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance; in addition, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection or a detachable connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the internal communication of two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0050] Considering that there are many definitions of viscosity involved in the present invention, they are now defined as follows:

[0051] The dynamic viscosity is the measured viscosity value of the oil in the oil temperature control pool 114 measured by the viscosity sensor 117 .

[0052] The measured temperature is the temperature of the oil in the oil temperature control pool 114 measured by the second temperature sensor 118 .

[0053] The measured kinematic viscosity is the viscosity value obtained by calculating the dynamic viscosity at the measurement temperature.

[0054] The reference kinematic viscosity is the viscosity value on the viscosity-temperature reference curve.

[0055] Standard measured kinematic viscosity is the kinematic viscosity value at standard temperature obtained by calculating the measured kinematic viscosity.

[0056] See also Figure 1 The first aspect of the present invention discloses an online monitoring and processing method for oil viscosity, comprising the following steps:

[0057] S1, obtaining the measured temperature and measured kinematic viscosity of the circulating oil;

[0058] S2, obtaining the standard measured kinematic viscosity at the standard temperature by measuring the measured kinematic viscosity at the temperature and the reference kinematic viscosity on the viscosity-temperature reference curve at the temperature, and comparing the standard measured kinematic viscosity with the reference kinematic viscosity on the viscosity-temperature reference curve at the standard temperature. If the difference between the two is greater than the set threshold, execute S3, otherwise execute S1 and S2 in a loop;

[0059] The process of obtaining the viscosity-temperature reference curve is as follows: collecting new oil parameters at set intervals to obtain several groups of new oil parameters, each group of new oil parameters consisting of multiple new oil parameters, the new oil parameters including kinematic viscosity and the temperature corresponding to the kinematic viscosity; obtaining a judgment value of a subsequent group of new oil parameters based on the previous group of new oil parameters, and eliminating abnormal kinematic viscosity values ​​in the subsequent group of new oil parameters through the judgment value; obtaining a viscosity-temperature reference curve through the remaining kinematic viscosity and the temperature corresponding to the kinematic viscosity;

[0060] S3, sends out the oil viscosity monitoring results.

[0061] In some implementation schemes of the present invention, in S1, it is necessary to collect the viscosity obtained by the viscosity sensor 117 in the monitoring branch 11 and the temperature value collected by the second temperature sensor 118 according to the set time interval.

[0062] In some embodiments of the present invention, in S2, the specific process of obtaining the viscosity-temperature reference curve by using the new oil is:

[0063] S21, after the viscosity sensor 117 is preheated and runs stably at different temperatures, the new oil parameters are collected at equal time intervals, that is, the dynamic viscosity of the new oil is collected once every set time t1, and the collection time t0 is recorded at the same time. k A total of k viscosities are collected, k data are grouped together, and n groups of data are collected, where k and n are both natural numbers ≥ 1. This interval collection method can extend the total service life of the viscosity sensor 117 on the one hand, and can avoid data deviation caused by the aging effect of the viscosity sensor 117 probe running continuously for a long time on the other hand. In this process, the dynamic viscosity is collected, and in the subsequent steps, the dynamic viscosity is converted into kinematic viscosity for comparison, so that a relatively unified standard can be provided during the comparison, and the viscosity comparison between fluids is more intuitive.

[0064] S22, calculate the average value and standard deviation of the kinematic viscosity of the previous group of new oil parameters, and obtain the judgment value of each new oil parameter in the next group through the average value and standard deviation of the kinematic viscosity of the previous group. The specific process is: through the dynamic viscosity of the new oil collected at each moment, based on formula (1), the kinematic viscosity of the new oil at each moment is obtained, based on the kinematic viscosity of the new oil at each moment, the average value of the viscosity of each group of new oil m1~m is obtained through formula (2) n ; Further, by combining the kinematic viscosity of the new oil at each moment and the average value of the viscosity of each group of new oil, the standard deviation d1~d2 of the viscosity of each group of new oil is obtained through formula (3): n Based on the average value and standard deviation of the previous group of kinematic viscosities, the judgment value of each kinematic viscosity in the next group is obtained through formula (4). The judgment value of each kinematic viscosity in the next group is subtracted from the constraint coefficient. If the difference is greater than or equal to 0, the collected data is an outlier and the outlier is removed.

[0065] To further explain, the first set of data x1~x k The mean value m1 and standard deviation d1 are taken as the basic values; continue to collect the second set of data, using x k+1 ~x 2k Subtract m1 and divide by d1 to get the judgment value w k+1 ~w 2k , as shown in formula (4); calculate w k+1 Compared with the constraint coefficient h, when formula (5) is satisfied, the collected data x k+1 As an outlier, h is calculated according to formula (6). The third set of data is calculated based on the mean and standard deviation of the second set of data after outliers are removed, and the calculation is repeated in this way.

[0066] In this process, the corresponding calculation formulas are:

[0067] The kinematic viscosity calculation formula is:

[0068] (1)

[0069] The mean value and standard deviation of the kinematic viscosity are calculated as follows:

[0070] (2)

[0071] (3)

[0072] The calculation formula of the latter set of new oil parameter judgment values ​​is:

[0073] (4)

[0074] The formula for comparing the difference between the judgment value and the constraint coefficient is:

[0075] (5)

[0076] The calculation formula of the constraint coefficient is:

[0077] h=0.0068*Vg+1.7133(6)

[0078] in, represents the new oil density collected at the i-th moment, represents the dynamic viscosity of the new oil collected at the i-th moment, represents the kinematic viscosity calculated at the i-th moment; represents the kinematic viscosity calculated at the k+1th moment; represents the average value of the new oil parameters of group j, represents the standard deviation of the jth group of new oil parameters, represents the k+1th judgment value of the j+1th group; where h is the constraint coefficient, Vg is the oil viscosity grade, and the value range is 32~320. Indicates the k+1th judgment value of the j+1th group. A constraint coefficient h is set to determine whether the kinematic viscosity in the k+1th new oil parameter is an abnormal value. The constraint coefficient h is related to the oil viscosity grade Vg. The Vg value can be adjusted according to different requirements to make h different. The constant in the constraint is an empirical value.

[0079] Preferably, the object of collection is new oil, which is oil that has not been recycled or oil that has left the factory and has optimal performance in all aspects, which is used as the standard for subsequent judgment.

[0080] Further preferably, for different types of oil, a viscosity-temperature reference curve is drawn for the new oil to be recycled before use, so that the viscosity-temperature reference curve is targeted.

[0081] In this process, the judgment value of the next group of new oil parameters is obtained by the average value and standard deviation of the kinematic viscosity in the previous group of new oils. The judgment value is used as a benchmark to eliminate abnormal values ​​in the next group of new oil parameters. This method enables the elimination of abnormal values ​​for the second group of new oil parameters starting from the first group of new oil parameters, and so on, to ensure the accuracy of each group of new oil parameters, and then ensure the accuracy of the entire viscosity-temperature reference curve.

[0082] Furthermore, the temperature and kinematic viscosity data were collected after removing the outliers, and the viscosity-temperature reference curve was obtained by the least square method.

[0083] In some embodiments of the present invention, in S2, under the premise that the viscosity-temperature reference curve has been obtained, the reference kinematic viscosity at any measurement temperature can be obtained through the curve, and the reference kinematic viscosity at the standard temperature is also known. Therefore, it is only necessary to convert the measured kinematic viscosity at the measurement temperature into the standard measured kinematic viscosity at the standard temperature. The specific method is to obtain the reference kinematic viscosity at the measurement temperature through the viscosity-temperature reference curve, and the ratio η of the measured kinematic viscosity and the reference kinematic viscosity at the measurement temperature can be obtained; the reference kinematic viscosity and the ratio η on the viscosity-temperature reference curve at the standard temperature are multiplied to obtain the standard measured kinematic viscosity at the standard temperature. Converting to the viscosity at the standard temperature can eliminate the influence of temperature on the viscosity, and more accurately compare and judge the viscosity.

[0084] Further explanation, the standard temperature is usually 40℃. Based on this transformation process, the measured kinematic viscosity and the reference kinematic viscosity on the viscosity-temperature reference curve are obtained at the measured temperature, and the ratio η of the two can be further obtained; for the standard temperature of 40℃, the reference kinematic viscosity w on the viscosity-temperature reference curve 40 , the reference kinematic viscosity w 40After multiplying by the ratio η, the standard measured kinematic viscosity w at a standard temperature of 40°C is obtained. 测量 , w 40 With w 测量 The difference is compared with the set threshold to obtain the comparison result.

[0085] In some embodiments of the present invention, the threshold range of the difference between the standard measured kinematic viscosity and the reference kinematic viscosity at standard temperature is 15% to 25%. An alarm is issued for the viscosity exceeding the threshold and is processed through the processing branch 12. The specific setting data of the threshold can be adjusted according to the required accuracy of the viscosity.

[0086] After the alarm, the oil inlet valve 2 and the oil outlet valve 9 are opened, and the oil is processed through the processing branch 12 until the viscosity of the oil circuit meets the requirements.

[0087] Referring to the figure, the second aspect of the present invention discloses an oil viscosity online monitoring and processing device, the device comprising:

[0088] The acquisition module is used to obtain the measured temperature and kinematic viscosity of the circulating oil.

[0089] The comparison module is used to obtain the standard measured kinematic viscosity at the standard temperature through the measured kinematic viscosity at the measuring temperature and the reference kinematic viscosity on the viscosity-temperature reference curve at the measuring temperature, and compare the standard measured kinematic viscosity with the reference kinematic viscosity on the viscosity-temperature reference curve at the standard temperature. If the difference between the two is greater than the set threshold, the processing module is executed, otherwise the acquisition module and the comparison module are executed in a loop.

[0090] The process of obtaining the viscosity-temperature reference curve is as follows: collecting new oil parameters at set intervals to obtain several groups of new oil parameters, each group of new oil parameters consisting of multiple new oil parameters, and the new oil parameters including kinematic viscosity and the temperature corresponding to the kinematic viscosity; based on the new oil parameters of the previous group, obtaining the judgment value of the next group, and eliminating the abnormal kinematic viscosity values ​​in the next group of new oil parameters through the judgment value; and obtaining the viscosity-temperature reference curve through the remaining kinematic viscosity and the temperature corresponding to the kinematic viscosity.

[0091] Processing module, sends out oil viscosity monitoring results.

[0092] The device also includes a display module for displaying the collected data and a viscosity-temperature reference curve.

[0093] See also Figure 3 and Figure 4The third aspect of the present invention discloses an online monitoring and processing system for oil viscosity, which includes a monitoring branch 11 and a processing branch 12. The source of the monitoring branch 11 and the processing branch 12 is the main oil pipeline of the oil, and the outlet merges into the main oil pipeline. Among them, the monitoring branch 11 is provided with an oil viscosity monitoring device 1 for realizing the above-mentioned online monitoring and processing method for oil viscosity; on the processing branch 12, an oil inlet valve 2, an oil pump motor 4, a purification device and an oil outlet valve 9 are sequentially arranged along the flow direction of the oil, and the oil viscosity monitoring device 1, the oil inlet valve 2, the oil pump motor 4, the purification device and the oil outlet valve 9 are connected to an intelligent controller 10 through common electrical signals. The intelligent controller 10 can control the opening and closing of valves and the start and stop of other equipment. The oil inlet valve 2 and the oil outlet valve 9 are used to control the opening and closing of the oil circuit on the processing branch 12.

[0094] In some embodiments of the present invention, the oil viscosity monitoring device 1 comprises a first temperature sensor 111, an oil filter 112, an oil pump 113, an oil temperature control tank 114 and a pressure sensor 115 which are sequentially arranged on the monitoring branch 11. Among them, a viscosity sensor 117 and a second temperature sensor 118 are arranged in the oil temperature control tank 114, and a heating plate 119 is arranged at the bottom of the oil temperature control tank 114; during the above-mentioned oil viscosity online monitoring processing method, the collected temperature is obtained by the second temperature sensor 118, and the collected viscosity is obtained by the viscosity sensor 117.

[0095] The pressure sensor 115 and the oil pump 113 are both connected to the pressure control device 116. The pressure control device 116 adjusts the flow rate on the oil pump 113 according to the pressure of the monitoring branch 11 collected by the pressure sensor 115, and further adjusts the amount of oil flowing through the entire monitoring branch 11.

[0096] The purification device includes a magnetic pre-filter 3, a heater 5 and a purification regenerator 6, wherein the heater 5 and the purification regenerator 6 are connected in parallel with a branch 13, and a bypass valve 7 is provided on the branch 13. The heater 5 and the bypass valve 7 are both electrically connected to the intelligent controller 10. The intelligent controller 10 can control the heater 5 to heat the liquid oil in the oil circuit and to open and close the bypass valve 7.

[0097] Specifically, the on-off of the bypass valve 7 is adjusted according to the difference between the standard measured kinematic viscosity and the reference kinematic viscosity at the standard temperature, and the difference exceeds the set threshold; when the bypass valve 7 is opened, the oil is only processed by the magnetic pre-filter 3, and then flows out directly from the oil outlet valve 9 through the branch 13. Obviously, the degree of purification and filtration of the oil in this case is less; when the bypass valve 7 is closed, after the oil flows out of the magnetic pre-filter 3, it is also processed by the heater 5 and the purification regenerator 6. In this case, the degree of purification and filtration of the oil is more thorough.

[0098] In some embodiments of the present invention, the processing branch 12 is provided with an electronic flow meter 8 after the purification regenerator 6 . The electronic flow meter 8 is before the outlet of the branch 13 . The electronic flow meter 8 is connected to the intelligent controller 10 via electrical signals.

[0099] In some embodiments of the present invention, the purification regenerator 6 is provided with a regeneration filter element; the heater 5 is connected to the electronic flow meter 8 through the regeneration filter element. The regeneration filter element is filled with one or a mixture of two or more of aluminum oxide, activated clay, diatomaceous earth, activated carbon or silicon dioxide.

[0100] Preferably, the purification regenerator 6 is further provided with a fine filter element, the filtering accuracy of which is less than 1 μm; the regeneration filter element is connected to the electronic flow meter 8 via the fine filter element.

[0101] In some embodiments of the present invention, the magnetic pre-filter 3 is an array structure composed of neodymium iron boron magnetic bars.

[0102] The above-mentioned oil inlet valve 2, oil pump motor 4, bypass valve 7, heater 5, electronic flowmeter 8, oil outlet valve 9, second temperature sensor 118, oil delivery pump 113, pressure sensor 115, pressure control device 116, viscosity sensor 117, first temperature sensor 111 and heating plate 119 are all connected to the intelligent controller 10. The software part in the intelligent controller 10 is the above-mentioned oil viscosity online monitoring and processing device, in which the acquisition module is connected to the electronic flowmeter 8, the second temperature sensor 118, the pressure sensor 115, the viscosity sensor 117 and the first temperature sensor 111 by electrical signals at the same time, and is used to collect measured data, and at the same time, the relevant data can be displayed through the display module; the comparison module is connected to the acquisition module, and is used to compare the collected data and output the comparison result to the processing module; the processing module is connected to the oil inlet valve 2, the oil pump motor 4, the oil delivery pump 113, the oil outlet valve 9 and the bypass valve 7 by electrical signals at the same time.

[0103] Therefore, the intelligent controller 10 can open or close the oil inlet valve 2 and the oil outlet valve 9 according to the measured viscosity judgment result, and then open the oil pump motor 4 and the bypass valve 7.

[0104] The oil circulation circuit of the oil is: the oil enters from the main pipeline. Under normal circumstances, the oil inlet valve 2 and the oil outlet valve 9 are closed. The oil passes through the first temperature sensor 111 and the oil filter device 112, and enters the oil temperature control tank 114 by the oil pump 113. The probe of the viscosity sensor 117 is installed in the oil temperature control tank 114. Under the action of the heating plate 119, the temperature of the oil temperature control tank 114 is constant to the set temperature, which facilitates the viscosity sensor 117 to monitor the dynamic viscosity of the oil. After monitoring, the oil is circulated back to the monitoring branch 11 through the output pipeline.

[0105] Among them, the first temperature sensor 111, the pressure control device 116, the oil pump 113, the viscosity sensor 117, the heating plate 119, the pressure sensor 115 and the second temperature sensor 118 are all connected to the intelligent controller 10. The data measured by the sensors can be displayed on the monitor through the intelligent controller 10, and the pressure control device 116, the start and stop of the oil pump 113, and the start and stop of the heating of the oil temperature control pool 114 by the heating plate 119 can be controlled by the intelligent controller 10.

[0106] The process of oil through the processing branch 12 is that the oil passes through the oil inlet valve 2 and enters the magnetic pre-filter 3 under the action of the oil pump motor 4, and after being processed by the magnetic pre-filter 3, it enters the purification regenerator 6 after being heated by the heater 5, and the oil purified by the purification regenerator 6 returns to the main oil pipeline through the oil outlet valve 9. Or after flowing out of the magnetic pre-filter 3, it directly returns to the main oil pipeline through the branch 13 and the oil outlet valve 9.

[0107] The following is further described in conjunction with specific embodiments.

[0108] Example

[0109] The analysis method of the collected data is: after the oil temperature control pool 114 is preheated and running stably, data is collected at equal time intervals, that is, data is collected once every 4 hours, and a total of 60 viscosities are collected, and 60 data are grouped together; see Figure 5 This is a comparison chart of the collected data before and after abnormal processing. It can be seen from the figure that this method can accurately remove outliers.

[0110] For a certain running oil, the viscosity sensor 117 collects temperature-viscosity data in a certain range, and selects 11 groups of data with different characteristics as shown in Table 1, thereby fitting to obtain the following: Figure 6 The viscosity-temperature reference curve shown is used for judgment.

[0111] Table 1 Temperature-viscosity data

[0112]

[0113] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for online monitoring of oil viscosity, characterized in that: The following steps are involved: S1, obtaining the measured temperature and measured kinematic viscosity of the circulating oil; S2, obtaining the standard measured kinematic viscosity at the standard temperature by measuring the measured kinematic viscosity at the temperature and the reference kinematic viscosity on the viscosity-temperature reference curve at the temperature, and comparing the standard measured kinematic viscosity with the reference kinematic viscosity on the viscosity-temperature reference curve at the standard temperature. If the difference between the two is greater than the set threshold, execute S3, otherwise execute S1 and S2 in a loop; The process of obtaining the viscosity-temperature reference curve is as follows: collecting new oil parameters at set intervals to obtain several groups of new oil parameters, each group of new oil parameters consisting of multiple new oil parameters, the new oil parameters including kinematic viscosity and the temperature corresponding to the kinematic viscosity; obtaining a judgment value of a subsequent group of new oil parameters based on the previous group of new oil parameters, and eliminating abnormal kinematic viscosity values ​​in the subsequent group of new oil parameters through the judgment value; obtaining a viscosity-temperature reference curve through the remaining kinematic viscosity and the temperature corresponding to the kinematic viscosity; In S2, the process of collecting new oil parameters at set intervals to obtain several groups of new oil parameters is as follows: collecting the temperature and dynamic viscosity of the oil at set intervals, and converting the dynamic viscosity into kinematic viscosity; collecting k kinematic viscosities, each k kinematic viscosities forming a group, and collecting n groups of new oil parameters in total, where k and n are both natural numbers greater than 1; In S2, based on the previous set of new oil parameters, the specific process of obtaining the judgment value of the next set of new oil parameters is as follows: The average value and standard deviation of the kinematic viscosity in the previous group of new oil parameters are calculated, and the judgment value of the next group of new oil parameters is obtained through the average value and standard deviation of the kinematic viscosity in the previous group; The kinematic viscosity calculation formula is: The mean value and standard deviation of the kinematic viscosity are calculated as follows: The calculation formula for the judgment value of the k+1th kinematic viscosity in the latter group is: in, represents the new oil density collected at the i-th moment, represents the dynamic viscosity of the new oil collected at the i-th moment, represents the kinematic viscosity calculated at the i-th moment, k represents a group of k new oil parameters, n represents a total of n groups of new oil parameters, represents the average value of the new oil parameters of group j, represents the standard deviation of the jth group of new oil parameters, represents the k+1th judgment value of the j+1th group, represents the kinematic viscosity calculated at the k+1th moment; The abnormal kinematic viscosity values ​​in the latter group of new oil parameters are eliminated by judging the value, specifically: If the judgment value of a kinematic viscosity in the latter set of new oil parameters satisfies the following formula, the kinematic viscosity in the latter set of new oil parameters is determined to be an abnormal value; h=0.0068*Vg+1.7133 Wherein, h represents the constraint coefficient, Vg represents the oil viscosity grade, and the value range is 32~320. represents the k+1th judgment value of the j+1th group; In S2, the specific process of obtaining the standard measured kinematic viscosity at the standard temperature is: obtaining the reference kinematic viscosity at the measuring temperature through the viscosity-temperature reference curve, and then obtaining the ratio η of the measured kinematic viscosity and the reference kinematic viscosity at the measuring temperature; multiplying the reference kinematic viscosity on the viscosity-temperature reference curve at the standard temperature and the ratio η to obtain the standard measured kinematic viscosity at the standard temperature; S3, sends out the oil viscosity monitoring results.

2. The method for online monitoring of oil viscosity according to claim 1, characterized in that: In S2, the viscosity-temperature reference curve is obtained by calculating the remaining kinematic viscosity and the temperature corresponding to the kinematic viscosity through the least square method.

3. An oil viscosity online monitoring and processing system, characterized in that: It comprises a monitoring branch (11) and a processing branch (12) connected in parallel, wherein an oil viscosity monitoring device (1) is arranged on the monitoring branch (11); the oil viscosity monitoring device (1) executes an oil viscosity online monitoring and processing method according to any one of claims 1 or 2.

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