CN113343411A - Method and device for determining gear box lubricating oil replacement time and electronic equipment - Google Patents
Method and device for determining gear box lubricating oil replacement time and electronic equipment Download PDFInfo
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- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 46
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- G06F30/17—Mechanical parametric or variational design
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- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/02—Reliability analysis or reliability optimisation; Failure analysis, e.g. worst case scenario performance, failure mode and effects analysis [FMEA]
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Abstract
The invention provides a method and a device for determining the replacement time of lubricating oil of a gearbox and electronic equipment, wherein the method comprises the following steps: acquiring first lubricating oil parameters of a plurality of groups of gear boxes within a first operating range, and establishing a prediction model based on the first lubricating oil parameters; the prediction model comprises a function relation between the lubricating oil parameter of the gearbox and the operating mileage; and judging whether the gear box can run to a second running mileage based on the prediction model, if so, acquiring a second lubricating oil parameter of each gear box within the range of more than the first running mileage and less than the second running mileage, and determining the lubricating oil replacement time of the gear box based on the second lubricating oil parameter and the prediction model. The invention saves the running cost of the motor train unit and also ensures that the lubricating oil replacement time of the gear box is more reasonable.
Description
Technical Field
The invention relates to the technical field of gearbox maintenance, in particular to a method and a device for determining the replacement time of lubricating oil of a gearbox and electronic equipment.
Background
The gear box is a core component in a power transmission system of the rail transit rolling stock, whether the safety of the gear box directly affects the trip safety of passengers, a lubricating system of the gear box has very important significance for the normal work of the gear box, and in order to ensure the normal operation of the rail transit rolling stock, when the operating mileage of the rail transit rolling stock reaches a certain value, the lubricating oil of the gear box needs to be replaced periodically. At present, rail transit rolling stock is mainly changed lubricating oil according to the oil change period set by the railway department.
However, years of research on lubricating oil test data shows that the waste lubricating oil replaced after the running mileage of the existing rail transit rolling stock can still be continuously used, the running cost of the rolling stock is increased, unnecessary waste is caused, and the oil replacement time of the gearbox cannot be increased suddenly for the driving safety of the rolling stock. Therefore, how to determine the reasonable oil change time of the gearbox becomes an urgent problem to be solved.
Disclosure of Invention
In view of this, the present invention provides a method and an apparatus for determining a gear box lubricant oil replacement time, and an electronic device, which can save the running cost of a motor train unit and make the gear box lubricant oil replacement time more reasonable.
In order to achieve the above purpose, the embodiment of the present invention adopts the following technical solutions:
in a first aspect, an embodiment of the present invention provides a method for determining a gearbox oil change time, including: acquiring first lubricating oil parameters of a plurality of groups of gear boxes within a first operating mileage, and establishing a prediction model based on the first lubricating oil parameters; the predictive model includes a functional relationship of a lube parameter of the gearbox to operating range; and judging whether the gear box can run to a second running mileage or not based on the prediction model, if so, acquiring a second lubricating oil parameter of each gear box within the range of more than the first running mileage and less than the second running mileage, and determining the lubricating oil replacement time of the gear box based on the second lubricating oil parameter and the prediction model.
Further, embodiments of the present invention provide a first possible implementation manner of the first aspect, wherein the step of acquiring a first lubricating oil parameter of a plurality of groups of gearboxes within a first operating range includes: sampling lubricating oil for each gear box at a first preset mileage interval until the operating mileage of the gear box reaches the first operating mileage to obtain a first lubricating oil sample; performing index detection on the first lubricating oil sample to obtain a first lubricating oil parameter; the first lubricating oil parameter comprises index detection results of a plurality of lubricating oil samples corresponding to the gear boxes.
Further, an embodiment of the present invention provides a second possible implementation manner of the first aspect, where the index detection result includes a detection value of each inspection index of the lubricating oil; the step of building a predictive model based on the first lubricant parameter comprises: and performing straight line fitting on the detection values of the same type of detection indexes of the gear boxes and the corresponding running mileage to obtain a prediction model corresponding to each detection index.
Further, an embodiment of the present invention provides a third possible implementation manner of the first aspect, wherein the step of obtaining a second lube parameter of each gearbox within a range greater than the first operating range and less than a second operating range, and determining a lube oil change time of the gearbox based on the second lube parameter and the prediction model includes: when the operating mileage of each gear box is greater than the first operating mileage, performing lubricating oil sampling on each gear box at intervals of a second preset mileage to obtain lubricating oil samples; index detection is carried out on the lubricating oil sample to obtain a second lubricating oil parameter; the second lubricating oil parameter comprises index detection results of a plurality of lubricating oil samples corresponding to each gear box; and judging whether the index detection result is qualified or not to obtain a judgment result, and determining whether the oil change time of the gearbox can be prolonged to the second operation mileage or not according to the judgment result and the prediction model.
Further, an embodiment of the present invention provides a fourth possible implementation manner of the first aspect, wherein the step of determining whether the oil change time of the gearbox can be extended to the second operation mileage according to the determination result and the prediction model includes: when all the detection indexes in the index detection result are qualified, predicting whether the gearbox can run to the second running mileage or not based on the prediction model, if so, carrying out real vehicle verification on the gearbox until the gearbox runs to the second running mileage, when the real vehicle verification result is qualified, determining that the oil change time of the gearbox can be prolonged to the second running mileage, and correcting the prediction model based on the real vehicle verification result to obtain an updated prediction model; and when the detection value of any target detection index in the index detection result is larger than a target standard limit value, judging whether the gearbox has abnormal wear, and if so, determining that the oil change time of the gearbox cannot be prolonged to the second operation mileage.
Further, an embodiment of the present invention provides a fifth possible implementation manner of the first aspect, where the prediction model includes a standard limit value of each inspection index, and a functional relationship between an operating mileage of the gearbox and a detection value of the inspection index; the method further comprises the following steps: and determining the maximum operating mileage corresponding to the standard limit value of each inspection index based on the functional relation between the operating mileage of the gearbox and the inspection index detection value in the corrected prediction model.
Further, an embodiment of the present invention provides a sixth possible implementation manner of the first aspect, where the method further includes: and acquiring the maximum operating mileage corresponding to the standard limit value of each inspection index, and taking the minimum value in each maximum operating mileage as the maximum oil change period of the gearbox.
In a second aspect, an embodiment of the present invention further provides a device for determining a gearbox oil change time, including: the model establishing module is used for acquiring a first lubricating oil parameter of the multi-gear box within a first operating mileage and establishing a prediction model based on the first lubricating oil parameter; the predictive model includes a functional relationship of a lube parameter of the gearbox to operating range; and the time determining module is used for judging whether the gear box can run to a second running mileage based on the prediction model, if so, acquiring a second lubricating oil parameter of each gear box within the range of more than the first running mileage and less than the second running mileage, and determining the lubricating oil replacement time of the gear box based on the second lubricating oil parameter and the prediction model.
In a third aspect, an embodiment of the present invention provides an electronic device, including: a processor and a storage device; the storage means has stored thereon a computer program which, when executed by the processor, performs the method of any of the first aspects.
In a fourth aspect, the present invention provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to perform the steps of the method in any one of the above first aspects.
The embodiment of the invention provides a method, a device and electronic equipment for determining the lubricating oil replacement time of a gearbox, which comprises the steps of firstly obtaining first lubricating oil parameters of a plurality of groups of gearboxes in a first operating mileage, and establishing a prediction model (comprising a functional relation between the lubricating oil parameters of the gearboxes and the operating mileage) based on the first lubricating oil parameters; and then judging whether the gear box can run to a second running mileage based on the prediction model, if so, acquiring a second lubricating oil parameter of each gear box within the range of more than the first running mileage and less than the second running mileage, and determining the lubricating oil replacement time of the gear box based on the second lubricating oil parameter and the prediction model. According to the method, a prediction model of the operating mileage of the gearbox can be obtained by performing mathematical modeling on the lubricating oil parameter of the gearbox of the rail transit rolling stock in the first operating mileage, the prediction model comprises a function relation between the lubricating oil parameter and the operating mileage, the operating mileage of the gearbox under the theoretical lubricating oil parameter can be predicted through the prediction model, when the prediction model predicts that the gearbox can run to the second operating mileage, the lubricating oil replacement time of the gearbox can be further determined by further acquiring the actual lubricating oil parameter between the first operating mileage and the second operating mileage, so that the lubricating oil replacement time of the gearbox can be properly increased, the operating cost of the motor train unit is saved, and the lubricating oil replacement time of the gearbox is more reasonable.
Additional features and advantages of embodiments of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of embodiments of the invention as set forth above.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flow chart illustrating a method for determining a gearbox oil change time according to an embodiment of the present invention;
FIG. 2 illustrates a predictive model function image provided by an embodiment of the invention;
FIG. 3 is a schematic structural diagram illustrating a gearbox oil change time determination device according to an embodiment of the present invention;
fig. 4 shows a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some, not all, embodiments of the present invention.
At present, the oil and grease testing and oil change standards of all-road motor train units are completely repaired according to plans, namely: and (4) changing oil according to industry and iron general relevant standards when the oil is due. At present, the whole route is completely executed according to maintenance regulations for the operation of the railway motor train unit (Total iron transport [ 2013 ] 158) and notices of China general railway companies about clear operation, maintenance facilities and equipment configuration standards of the motor train unit (Total iron transport [ 2015 ] 185). For example: the CRH5G type gear box was run for 20 kilometers and the lubricating oil was replaced. However, years of lubricating oil test data show that all indexes of the waste oil after the gear box reaches the running mileage are very reliable and can be continuously used, and unnecessary waste is caused. In order to solve the problem, the embodiment of the invention provides a method and a device for determining the gear box lubricating oil replacement time and electronic equipment. The following describes embodiments of the present invention in detail.
The method for determining the lubricating oil replacement time of the gearbox can be used for determining the lubricating oil replacement time of the gearbox of rail transit rolling stock, wherein the types of the rail transit rolling stock include but are not limited to motor train units, locomotives, trucks, passenger cars and the like.
The embodiment provides a method for determining the oil change time of a gearbox, which can be applied to electronic equipment such as a computer, and referring to a flowchart of the method for determining the oil change time of the gearbox shown in fig. 1, the method mainly comprises the following steps S102 to S104:
and S102, acquiring first lubricating oil parameters of the multiple groups of gear boxes within a first operating range, and establishing a prediction model based on the first lubricating oil parameters.
The predictive model includes a functional relationship of a gearbox oil parameter to operating range. The first operating mileage may be a current oil change period of the gearbox, for example, the current oil change period standard of the gearbox of the CRH5G motor train unit is 20 kilometers, in order to extend the oil change period of the gearbox and increase the service time of the gearbox lubricating oil, the first operating mileage may be 20 kilometers, that is, test data of the gearbox lubricating oil is obtained within 0-20 kilometers of the operation of the gearbox, in order to improve the accuracy of model establishment, lubricating oil parameters of multiple groups of gearboxes of the CRH5G motor train unit may be obtained and recorded as first lubricating oil parameters, and since the lubricating oil parameters include multiple detection indexes of the lubricating oil, a detection index detection value corresponding to each operating mileage is fitted by using a unary linear regression equation to obtain a prediction model for predicting the operating mileage of the gearbox.
And step S104, judging whether the gear box can run to a second running mileage based on the prediction model, if so, acquiring a second lubricating oil parameter of each gear box within the range of more than the first running mileage and less than the second running mileage, and determining the lubricating oil replacement time of the gear box based on the second lubricating oil parameter and the prediction model.
Because the prediction model is obtained by fitting based on actual lubricating oil parameters within the first operating mileage, and the lubricating oil parameters after the first operating mileage are theoretical derivation values of the prediction model, after the prediction model is established based on the first lubricating oil parameters of the first operating mileage, whether the gear box can run to the second operating mileage can be preliminarily predicted and judged based on the prediction model, namely, the theoretical derivation values of the lubricating oil parameters between the first operating mileage and the second operating mileage are obtained from the prediction model obtained by fitting, whether the theoretical derivation values of all detection indexes corresponding to the lubricating oil parameters meet the qualified standard limit value is judged, and if so, the gear box can be preliminarily determined to run to the second operating mileage.
After the gear box is preliminarily determined to be capable of running to the second running mileage, when the running mileage of the gear box is larger than the first running mileage, the lubricating oil parameters of the gear box are sampled and obtained to obtain second lubricating oil parameters, and the lubricating oil replacement time of the gear box is determined based on the second lubricating oil parameters obtained through actual sampling and the prediction model. .
According to the method for determining the lubricating oil replacement time of the gearbox, the mathematical modeling is performed based on the lubricating oil parameters of the gearbox of the motor train unit in the first operating mileage, so that the prediction model of the operating mileage of the gearbox can be obtained, the prediction model comprises the functional relation between the lubricating oil parameters and the operating mileage, the operating mileage of the gearbox under the theoretical lubricating oil parameters can be predicted through the prediction model, when the prediction model predicts that the gearbox can run to the second operating mileage, the actual lubricating oil parameters between the first operating mileage and the second operating mileage and the prediction model are further obtained, the lubricating oil replacement time of the gearbox can be further determined, the lubricating oil replacement time of the gearbox can be properly increased, the operating cost of the motor train unit is saved, and the lubricating oil replacement time of the gearbox is more reasonable.
The present embodiment provides an implementation manner for acquiring a first lubricating oil parameter of multiple groups of gearboxes within a first operating range, which can be specifically executed with reference to the following steps (1) to (2):
step (1): and sampling lubricating oil for each gear box at a first preset mileage interval until the operating mileage of the gear box reaches a first operating mileage to obtain a first lubricating oil sample.
The first preset mileage interval can be determined according to the current oil change cycle of the gearbox, for example, the current oil change cycle of the CRH5G motor train unit is 20 kilometers, the first preset mileage interval can be 5 kilometers, that is, within an interval of 0-20 kilometers, sampling is performed on lubricating oil of the gearbox once every 5 kilometers of the driving mileage of the gearbox is increased, and when sampling is performed on motor train units of other models, the first preset mileage can be determined according to the oil change cycle of the motor train units of other models, for example, any value between 5 and 10 kilometers. When carrying out lubricating oil sampling to the gear box at every turn, can extract the gear box middle section oil appearance from the EMUs gear box of multiple the same model simultaneously to make the lubricating oil sample of gathering more representative.
Step (2): and carrying out index detection on the first lubricating oil sample to obtain a first lubricating oil parameter.
The first lubricating oil parameter comprises index detection results of a plurality of lubricating oil samples corresponding to the gear boxes, and the index detection results comprise detection values of all detection indexes of the lubricating oil. And recording the driving mileage of the gear box and the corresponding lubricating oil index detection result during each sampling to obtain a first lubricating oil parameter.
The above-mentioned inspection index includes that gear box wearing and tearing detect and physics and chemistry oil quality testing, and wherein, gear box wearing and tearing detect include: the iron content, the copper content, ferromagnetic particle, mechanical impurity and copper sheet corrosion assay etc. test index, above-mentioned physicochemical oil quality control includes: viscosity, water content, acid value, open flash point and pour point. The gear box abrasion detection and the physical and chemical oil product detection are respectively carried out on each lubricating oil sample to obtain detection values of each inspection index, such as a detection value of a pour point in the lubricating oil sample by using a full-automatic pour point tester, a detection value of a flash point in the lubricating oil sample by using a full-automatic open flash point tester, and copper sheet corrosivity in the lubricating oil sample by using a copper sheet corrosivity tester. Thus, the first lubricating oil parameter includes an index detection result of each lubricating oil sample of each gear box, wherein each index detection result includes detection values of inspection indexes such as iron content, copper content, ferromagnetic particles, mechanical impurities, copper sheet corrosion measurement, viscosity, moisture, acid value, open flash point, and pour point.
In one embodiment, the present example provides an embodiment of building a prediction model based on a first lube oil parameter: and performing linear fitting on the detection values of the same kind of test indexes of each gear box and the corresponding running mileage based on a unitary linear regression equation to obtain a prediction model corresponding to each test index. And (3) obtaining detection values of all detection indexes of the lubricating oil of each gear box within 0-20 kilometres, wherein each detection value has a corresponding mileage (namely the running mileage of the gear box when a lubricating oil sample is sampled), and performing linear fitting on the same detection indexes to obtain a prediction model corresponding to each detection index.
Because iron element is generated by abrasion of two friction pair surfaces in the motion of the gear box under a normal sliding abrasion mechanism, the abrasion trend and the severity of the friction pair surfaces can be judged according to the change rate of the iron element generated by abrasion, and therefore, the representative inspection index in all the inspection indexes is the iron content. Taking the prediction model of the iron content of the lubricating oil of the gear box of the CRH5G motor train unit as an example, because the prediction model is a unary linear function, performing straight line fitting on the running mileage of each gear box lubricating oil sample and the corresponding iron content detection value to obtain a prediction model function image as shown in FIG. 2, wherein the horizontal axis is the running mileage of the gear box and the vertical axis is the iron content detection value (i.e. the test data in the image), the prediction model is a prediction model with a test index corresponding to the iron content, 0-20 kilometres in figure 2 are straight lines obtained by fitting according to the actually measured iron content value, the iron content corresponding to 20-40 kilometres is a theoretical derivation value (a dotted line segment in the figure), when the iron content at 40 km in the prediction model function does not reach the standard limit for iron content (i.e. the assay limit in figure 2), the oil change period of the lubricating oil of the gear box of the motor train unit can be preliminarily predicted to be prolonged to 40 kilometers; and the driving mileage corresponding to the prediction model function at the standard limit value of the iron content is the maximum oil change period corresponding to the iron content obtained by theoretical derivation.
The above-mentioned each inspection index has a standard limit value, such as the standard limit value of each inspection index of CRH5G motor train unit gearbox lubricating oil, and can be set by referring to the inspection index value range table shown in the following table.
Table-check index value range table
In order to ensure the driving safety of the motor train unit, the embodiment further provides an implementation manner of obtaining the second lubricating oil parameter of each gearbox within a range greater than the first operating range and less than the second operating range, and determining the lubricating oil replacement time of the gearbox based on the second lubricating oil parameter and the prediction model, and the implementation manner can be specifically executed by referring to the following steps 1 to 3:
step 1: and when the operating mileage of each gear box is greater than the first operating mileage, sampling lubricating oil for each gear box at intervals of a second preset mileage to obtain lubricating oil samples.
When the operating mileage of each gearbox exceeds the first operating mileage, in order to ensure the driving safety of the motor train unit, lubricating oil samples can be sampled from the multiple groups of gearboxes. The second preset mileage interval is smaller than the first preset mileage interval, such as 2 km or 3 km when the first preset mileage interval is 5 km. And sampling lubricating oil for each gear box at intervals of a second preset mileage until the operating mileage of the gear box reaches a second operating mileage. When the operating mileage of the gear box is greater than the first operating mileage, the method belongs to operation after the oil change period is prolonged, and when the lubricating oil of the gear box is sampled, in order to ensure the driving safety of the motor train unit, the sampling period can be reduced, the sampling frequency is increased, and a large data sample is increased, so that the method is more favorable for analyzing the wear tendency and ensures the driving safety.
Step 2: and performing index detection on the lubricating oil sample to obtain a second lubricating oil parameter.
When the operating mileage of the gearbox is greater than the first operating mileage, a plurality of lubricating oil samples of the gearbox can be sampled by performing sample collection at intervals of a second preset mileage, and the index detection result of the lubricating oil sample sampled each time is used as a second lubricating oil parameter, namely the second lubricating oil parameter comprises the index detection results of the plurality of lubricating oil samples corresponding to the gearboxes. The detection indexes of the lubricating oil sample comprise gear box abrasion detection and physical and chemical oil product detection. And step 3: and judging whether the index detection result is qualified or not to obtain a judgment result, and determining whether the oil change time of the gearbox can be prolonged to a second operation mileage position or not according to the judgment result and the prediction model.
When all the detection indexes in the index detection results are qualified, namely all the detection indexes of the lubricating oil sample are normal values, predicting whether the gear box can run to a second running mileage position based on the prediction model, if all the index detection results of the gear box are normal values (all in a standard limit range), and the maximum running period in the prediction model of all the detection indexes is larger than the second running mileage, carrying out real-vehicle verification on the gear box until the gear box runs to the second running mileage, namely sampling the actual lubricating oil of the gear box again according to a second preset mileage interval, namely acquiring the gear oil lubricating oil sample every second preset mileage interval, carrying out index detection on the sampled lubricating oil, repeating the steps until the gear box runs to the second running mileage, and when all the index detection results are normal values (namely all the detection values do not exceed the corresponding standard limit range), and determining that the oil change time of the gearbox can be prolonged to a second operation mileage, inputting the obtained index detection result into a database, correcting the prediction model based on the index detection result, inputting the index detection result into the prediction model for re-fitting to obtain an updated prediction model, and enabling the lubricating oil parameters corresponding to the operation mileage predicted in the prediction model to better meet the actual condition.
The prediction model is a unary linear function, the maximum operation mileage of the gearbox corresponding to the maximum limit can be obtained from the prediction model by obtaining the maximum limit of the lubricating oil parameter, the time of the operation mileage of the gearbox before reaching the maximum operation mileage is the lubricating oil replacement time, and in practical application, whether the oil replacement period can be prolonged can be verified through the prediction model, such as whether the oil replacement period of the CRH5G motor train unit can be prolonged from 20 kilometers to 40 kilometers, and when the maximum operation mileage of the gearbox in the prediction model is more than 40 kilometers, the oil replacement period of the CRH5G motor train unit can be prolonged to 40 kilometers.
And when the detection value of any target detection index in the index detection result is larger than the target standard limit value, judging whether the gearbox has abnormal wear, and if so, determining that the oil change time of the gearbox cannot be prolonged to the second operation mileage. When the detection value of the detection index in the index detection result is larger than the corresponding standard limit value, namely the index detection result of the gear box lubricating oil is unqualified, the gear box is decomposed and checked, whether the gear box has abnormal wear under the current operating mileage is judged, whether the reason of the unqualified index detection result is caused by prolonging the oil change period is judged, when the gear box has abnormal wear, the influence of external factors (such as pollution of external factors on the oil) or self factors (the physicochemical index is abnormal and the like caused by sealing) can be eliminated, the service life of the gear box is determined to be influenced due to the long running kilometer number of the gear box, the oil change period of the gear box cannot be prolonged to the second operating mileage, the lubricating oil is replaced for the gear box, and the current operating mileage is used as the maximum operating mileage of the gear box.
Taking the CRH5G motor train unit as an example, when the operating mileage of the gear box is greater than 20 kilometers, the gear box lubricating oil can be sampled every 2 kilometers, index detection is performed on the sampled lubricating oil sample, the obtained detection values of all detection indexes are compared with the standard limit value, the problems are tracked, and a corresponding processing scheme is executed, taking the iron content in the detection indexes as an example, the following table two shows the relevant processing scheme when the detection indexes are iron content:
table two processing measure table
In a specific embodiment, the method further includes: and determining the maximum operation mileage corresponding to the standard limit value (the maximum qualified value of the inspection index) of each inspection index based on the functional relation between the operation mileage of the gear box and the inspection index detection value in the corrected prediction model. The prediction model comprises standard limit values of all inspection indexes and a functional relation between the operating mileage of the gearbox and the detection value of the inspection index. Because the inspection indexes of the gearbox comprise a plurality of inspection indexes, a prediction model is established for each inspection index, and the maximum operation mileage of the prediction model of each inspection index (namely, the operation mileage corresponding to the standard limit value of the inspection index in the prediction model) is determined based on the functional relationship between the operation mileage in the prediction model established by each inspection index and the detection value of the inspection index.
In order to determine the maximum oil change period of the gearbox, the present embodiment provides a method further comprising: and acquiring the maximum operating mileage corresponding to the standard limit value of each inspection index, and taking the minimum value in each maximum operating mileage as the maximum oil change period of the gearbox. Because each inspection index has a corresponding prediction model, the maximum operation mileage obtained by the prediction model of each inspection index may be different, and in order to ensure the operation safety of the gear box, the minimum value is selected from the maximum operation mileage corresponding to each inspection index to be used as the maximum oil change period of the gear box.
In practical application, because the iron content in the plurality of inspection indexes is a representative inspection index, the oil change time of the gearbox can also be determined based on the prediction model corresponding to the iron content, that is, the maximum oil change period in the prediction model corresponding to the iron content is used as the maximum oil change period of the gearbox, and whether the oil change period of the gearbox can be prolonged to the second operation mileage is judged according to the prediction model corresponding to the iron content.
According to the method for determining the gear box lubricating oil change time, mathematical modeling is carried out on each inspection index based on the lubricating oil parameters actually collected, the prediction models corresponding to different inspection indexes are established, the gear box is further verified, the maximum oil change period of the gear box can be deduced, on the premise that the running safety of rail transit locomotives is guaranteed, the rationality of a gear box oil change time determination mode is improved, and the operation cost is saved.
Corresponding to the method for determining the oil change time of the gearbox provided by the embodiment, the embodiment of the invention provides a device for determining the oil change time of the gearbox, and referring to a structural schematic diagram of the device for determining the oil change time of the gearbox shown in fig. 3, the device comprises the following modules:
the model establishing module 31 is used for acquiring a first lubricating oil parameter of the multi-gear box within a first operating mileage and establishing a prediction model based on the first lubricating oil parameter; the predictive model includes a functional relationship of a gearbox oil parameter to operating range.
And the time determining module 32 is used for judging whether the gear box can run to a second running mileage based on the prediction model, if so, acquiring a second lubricating oil parameter of each gear box within the range of more than the first running mileage and less than the second running mileage, and determining the lubricating oil replacement time of the gear box based on the second lubricating oil parameter and the prediction model.
According to the device for determining the lubricating oil replacement time of the gearbox, mathematical modeling is performed on the basis of the lubricating oil parameters of the gearbox of the motor train unit in the first operating mileage, so that a prediction model of the operating mileage of the gearbox can be obtained, the prediction model comprises the functional relation between the lubricating oil parameters and the operating mileage, the operating mileage of the gearbox corresponding to the theoretical lubricating oil parameters can be predicted through the prediction model, when the gearbox is predicted to be capable of running to the second operating mileage by the prediction model, the actual lubricating oil parameters between the first operating mileage and the second operating mileage are further obtained, the lubricating oil replacement time of the gearbox can be further determined, the lubricating oil replacement time of the gearbox can be properly increased, the operating cost of the motor train unit is saved, and the lubricating oil replacement time of the gearbox is more reasonable.
In an embodiment, the model building module 31 is further configured to sample the lubricating oil of each gearbox at a first preset mileage interval until the operating mileage of the gearbox reaches a first operating mileage, so as to obtain a first lubricating oil sample; index detection is carried out on the first lubricating oil sample to obtain a first lubricating oil parameter; the first lubricating oil parameter comprises index detection results of a plurality of lubricating oil samples corresponding to each gear box.
In one embodiment, the index detection result includes a detection value of each inspection index of the lubricating oil; the model building module 31 is further configured to perform linear fitting on the detection values of the same kind of test indexes of each gearbox and the corresponding operating mileage to obtain a prediction model corresponding to each test index.
In an embodiment, the time determination module 32 is further configured to sample the lubricating oil for each gearbox every second preset mileage interval when the operating mileage of each gearbox is greater than the first operating mileage to obtain a lubricating oil sample; index detection is carried out on the lubricating oil sample to obtain a second lubricating oil parameter; the second lubricating oil parameter comprises index detection results of a plurality of lubricating oil samples corresponding to each gear box; and judging whether the index detection result is qualified or not to obtain a judgment result, and determining whether the oil change time of the gearbox can be prolonged to a second operation mileage position or not according to the judgment result and the prediction model.
In an embodiment, the time determining module 32 is further configured to, when each inspection indicator in the indicator detection result is qualified, predict whether the gearbox can travel to the second operation distance based on the prediction model, if so, perform real vehicle verification on the gearbox until the gearbox runs to the second operation distance, when the real vehicle verification result is qualified, determine that the oil change time of the gearbox can be extended to the second operation distance, and correct the prediction model based on the real vehicle verification result to obtain an updated prediction model; and when the detection value of any target detection index in the index detection result is larger than the target standard limit value, judging whether the gearbox has abnormal wear, and if so, determining that the oil change time of the gearbox cannot be prolonged to the second operation mileage.
In one embodiment, the above apparatus further comprises:
and the mileage determining module is used for determining the maximum running mileage corresponding to the standard limit value of each inspection index based on the functional relation between the running mileage of the gearbox in the corrected prediction model and the inspection index detection value.
And the period determining module is used for acquiring the maximum operating mileage corresponding to the standard limit value of each inspection index, and taking the minimum value in each maximum operating mileage as the maximum oil change period of the gearbox.
In one embodiment, the check index includes: gear box abrasion detection and physicochemical oil product detection.
According to the gear box lubricating oil change time determining device provided by the embodiment, mathematical modeling is carried out on each inspection index through the lubricating oil parameters based on actual collection, the prediction models corresponding to different inspection indexes are established, the gear box is further verified, the maximum oil change period of the gear box can be deduced, on the premise that the traffic safety of rail transit locomotives is guaranteed, the rationality of the gear box oil change time determining mode is improved, and the operation cost is saved.
The device provided by the embodiment has the same implementation principle and technical effect as the foregoing embodiment, and for the sake of brief description, reference may be made to the corresponding contents in the foregoing method embodiment for the portion of the embodiment of the device that is not mentioned.
An embodiment of the present invention provides an electronic device, as shown in a schematic structural diagram of the electronic device shown in fig. 4, where the electronic device includes a processor 41 and a memory 42, where a computer program operable on the processor is stored in the memory, and when the processor executes the computer program, the steps of the method provided in the foregoing embodiment are implemented.
Referring to fig. 4, the electronic device further includes: a bus 44 and a communication interface 43, and the processor 41, the communication interface 43 and the memory 42 are connected by the bus 44. The processor 41 is arranged to execute executable modules, such as computer programs, stored in the memory 42.
The Memory 42 may include a high-speed Random Access Memory (RAM) and may also include a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The communication connection between the network element of the system and at least one other network element is realized through at least one communication interface 43 (which may be wired or wireless), and the internet, a wide area network, a local network, a metropolitan area network, etc. may be used.
The bus 44 may be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 4, but that does not indicate only one bus or one type of bus.
The memory 42 is configured to store a program, and the processor 41 executes the program after receiving an execution instruction, and the method executed by the apparatus defined by the flow process disclosed in any of the foregoing embodiments of the present invention may be applied to the processor 41, or implemented by the processor 41.
The processor 41 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 41. The Processor 41 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like. The device can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components. The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in the memory 42, and the processor 41 reads the information in the memory 42 and performs the steps of the above method in combination with the hardware thereof.
Embodiments of the present invention provide a computer-readable medium, wherein the computer-readable medium stores computer-executable instructions, which, when invoked and executed by a processor, cause the processor to implement the method of the above-mentioned embodiments.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process of the system described above may refer to the corresponding process in the foregoing embodiments, and is not described herein again.
The method, the device and the computer program product for determining the gear box lubricating oil replacement time provided by the embodiment of the invention comprise a computer readable storage medium storing program codes, wherein instructions included in the program codes can be used for executing the method described in the previous method embodiment, and specific implementation can refer to the method embodiment, which is not described herein again.
In addition, in the description of the embodiments of the present invention, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present invention, which are used for illustrating the technical solutions of the present invention and not for limiting the same, and the protection scope of the present invention is not limited thereto, although the present invention is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (10)
1. A method for determining the time for replacing the lubricating oil of a gearbox is characterized by comprising the following steps:
acquiring first lubricating oil parameters of a plurality of groups of gear boxes within a first operating mileage, and establishing a prediction model based on the first lubricating oil parameters; the predictive model includes a functional relationship of a lube parameter of the gearbox to operating range;
and judging whether the gear box can run to a second running mileage or not based on the prediction model, if so, acquiring a second lubricating oil parameter of each gear box within the range of more than the first running mileage and less than the second running mileage, and determining the lubricating oil replacement time of the gear box based on the second lubricating oil parameter and the prediction model.
2. The method of claim 1, wherein the step of obtaining a first oil parameter for a plurality of gear boxes within a first operating range comprises:
sampling lubricating oil for each gear box at a first preset mileage interval until the operating mileage of the gear box reaches the first operating mileage to obtain a first lubricating oil sample;
performing index detection on the first lubricating oil sample to obtain a first lubricating oil parameter; the first lubricating oil parameter comprises index detection results of a plurality of lubricating oil samples corresponding to the gear boxes.
3. The method according to claim 2, wherein the index detection result includes a detection value of each inspection index of the lubricating oil;
the step of building a predictive model based on the first lubricant parameter comprises:
and performing straight line fitting on the detection values of the same type of detection indexes of the gear boxes and the corresponding running mileage to obtain a prediction model corresponding to each detection index.
4. The method of claim 1, wherein the step of obtaining a second lube parameter for each of the gearboxes over a range greater than the first operating range and less than a second operating range, and determining a time to lube change for the gearbox based on the second lube parameter and the predictive model comprises:
when the operating mileage of each gear box is greater than the first operating mileage, performing lubricating oil sampling on each gear box at intervals of a second preset mileage to obtain lubricating oil samples;
index detection is carried out on the lubricating oil sample to obtain a second lubricating oil parameter; the second lubricating oil parameter comprises index detection results of a plurality of lubricating oil samples corresponding to each gear box;
and judging whether the index detection result is qualified or not to obtain a judgment result, and determining whether the oil change time of the gearbox can be prolonged to the second operation mileage or not according to the judgment result and the prediction model.
5. The method of claim 4, wherein the step of determining whether the oil change time of the gearbox can be extended to the second operating range based on the determination and the predictive model comprises:
when all the detection indexes in the index detection result are qualified, predicting whether the gearbox can run to the second running mileage or not based on the prediction model, if so, carrying out real vehicle verification on the gearbox until the gearbox runs to the second running mileage, when the real vehicle verification result is qualified, determining that the oil change time of the gearbox can be prolonged to the second running mileage, and correcting the prediction model based on the real vehicle verification result to obtain an updated prediction model;
and when the detection value of any target detection index in the index detection result is larger than a target standard limit value, judging whether the gearbox has abnormal wear, and if so, determining that the oil change time of the gearbox cannot be prolonged to the second operation mileage.
6. The method of claim 5, wherein the predictive model includes a standard limit for each test indicator and a functional relationship between the operating range of the gearbox and the test indicator value; the method further comprises the following steps:
and determining the maximum operating mileage corresponding to the standard limit value of each inspection index based on the functional relation between the operating mileage of the gearbox and the inspection index detection value in the corrected prediction model.
7. The method of claim 6, further comprising:
and acquiring the maximum operating mileage corresponding to the standard limit value of each inspection index, and taking the minimum value in each maximum operating mileage as the maximum oil change period of the gearbox.
8. A gearbox oil change time determination device, comprising:
the model establishing module is used for acquiring a first lubricating oil parameter of the multi-gear box within a first operating mileage and establishing a prediction model based on the first lubricating oil parameter; the predictive model includes a functional relationship of a lube parameter of the gearbox to operating range;
and the time determining module is used for judging whether the gear box can run to a second running mileage based on the prediction model, if so, acquiring a second lubricating oil parameter of each gear box within the range of more than the first running mileage and less than the second running mileage, and determining the lubricating oil replacement time of the gear box based on the second lubricating oil parameter and the prediction model.
9. An electronic device, comprising: a processor and a storage device;
the storage device has stored thereon a computer program which, when executed by the processor, performs the method of any one of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method according to any one of the claims 1 to 7.
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