CN114001266A - Method for determining fault type of engineering machinery lubricating system and engineering machinery - Google Patents
Method for determining fault type of engineering machinery lubricating system and engineering machinery Download PDFInfo
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- CN114001266A CN114001266A CN202111148847.0A CN202111148847A CN114001266A CN 114001266 A CN114001266 A CN 114001266A CN 202111148847 A CN202111148847 A CN 202111148847A CN 114001266 A CN114001266 A CN 114001266A
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
- F16N—LUBRICATING
- F16N29/00—Special means in lubricating arrangements or systems providing for the indication or detection of undesired conditions; Use of devices responsive to conditions in lubricating arrangements or systems
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
- F16N—LUBRICATING
- F16N7/00—Arrangements for supplying oil or unspecified lubricant from a stationary reservoir or the equivalent in or on the machine or member to be lubricated
- F16N7/38—Arrangements for supplying oil or unspecified lubricant from a stationary reservoir or the equivalent in or on the machine or member to be lubricated with a separate pump; Central lubrication systems
- F16N7/385—Central lubrication systems
Abstract
The embodiment of the application provides a method, a controller, a lubricating system and engineering machinery for determining the fault type of the lubricating system of the engineering machinery. The lubrication system includes a plurality of flowlines, the method comprising: periodically acquiring pressure data and flow data of a plurality of oil outlet pipelines; determining the pulse size and the pulse period of the pressure corresponding to the pressure data; inputting the pressure data, the flow data, the pulse size and the pulse period into a monitoring model to obtain a state representation value of the lubricating system; and determining the fault type of the lubricating system according to the state characterization value. The method determines the fault type of the lubricating system by determining the pressure data and the flow data of the oil outlet pipeline, determining the pulse size and the pulse period of the pressure and further determining the state representation value of the lubricating system according to the monitoring model, thereby realizing the real-time monitoring of the state of the lubricating system, accurately monitoring the typical fault of the lubricating system at the shaft end of the stirring machine and further making corresponding protective measures.
Description
Technical Field
The application relates to the technical field of engineering machinery, in particular to a method, a controller, a lubricating system and engineering machinery for determining a fault type of a lubricating system of the engineering machinery.
Background
At present, an automatic lubricating system commonly adopted by a shaft end lubricating device of a concrete mixer is used for judging whether a fault occurs or not by observing a mechanical oil pressure gauge on the lubricating device manually. Hydraulic failure of concrete mixers is often caused by problems with the quality of the pump core, hydraulic oil or hydraulic piping. Hydraulic transmission is mainly achieved by hydraulic oil, and if sealing gaskets of various connecting systems are in trouble or oil way joints are loosened, leakage of the whole hydraulic system can occur. If the hydraulic oil is impure or air is mixed into the hydraulic system, it can cause noise or insufficient pressure in the entire system. If the specifications of the hydraulic oil do not meet the use requirements, the maladjustment of the check valve can cause the system to be in a fault state. Typical faults are pump core faults, pump pipe blockage, oil shortage and the like.
In the prior art, the adopted technical scheme only observes the mechanical oil pressure gauge through manual work, lacks accurate real-time monitoring of key data such as flow, pressure and the like of a stirring station stirrer shaft end lubricating system, and cannot timely judge some easily-occurring faults of the lubricating system such as oil shortage, pump core blockage and the like, so that false alarm or no alarm is caused. And because the operation and repair personnel are not skilled in the hydraulic transmission principle and the maintenance work, the faults can not be timely found and processed according to the fault problem, so that the concrete mixer is in a use process due to the fact that a hydraulic transmission system breaks down and then the system is shut down, the shaft end of the mixer is often abraded, the shaft of the mixer can be even scrapped in advance, and economic losses such as shutdown and production halt are caused.
Disclosure of Invention
An object of the embodiment of the application is to provide a method, a controller, a lubricating system and a working machine for determining the fault type of the lubricating system of the working machine.
In order to achieve the above object, a first aspect of the present application provides a method for determining a type of a fault of a lubrication system of a construction machine, the lubrication system including a plurality of oil outlet pipes, the method including:
periodically acquiring pressure data and flow data of a plurality of oil outlet pipelines;
determining the pulse size and pulse period of the pressure corresponding to the pressure data;
inputting the pressure data, the flow data, the pulse size and the pulse period into a monitoring model to obtain a state representation value of the lubricating system;
and determining the fault type of the lubricating system according to the state characterization value.
In an embodiment of the present application, determining the type of fault of the lubrication system from the state characterizing value includes: determining the fault type as a pump core fault under the condition that the state characteristic value is smaller than a first preset characteristic value; determining the fault type to be an oil shortage fault under the condition that the state characteristic value is greater than or equal to a first preset characteristic value and less than or equal to a second preset characteristic value; determining that the lubricating system does not break down under the condition that the state characteristic value is greater than a second preset characteristic value and less than a third preset characteristic value; and determining the fault type as the pump pipe fault under the condition that the state characteristic value is greater than or equal to a third preset characteristic value.
In the embodiment of the application, the first preset characterization value is determined according to the minimum value of normal pressure, the minimum value of normal pressure pulse size, the minimum value of normal pressure pulse time, the minimum value of normal flow, the average value of pressure pulse size, the average value of pressure pulse time and the average value of flow size of the oil outlet pipeline; the second preset characteristic value is determined according to the maximum value of the normal pressure, the minimum value of the normal pressure pulse size, the minimum value of the normal pressure pulse time, the minimum value of the normal flow, the pressure average value, the pressure pulse size average value, the pressure pulse time average value and the flow size average value of the oil outlet pipeline; the third preset characterization value is determined according to the maximum value of the normal pressure, the maximum value of the size of the normal pressure pulse, the average value of the pressure, the average value of the size of the pressure pulse, the time average value of the pressure pulse and the average value of the flow.
In the embodiment of the present application, the first preset characteristic value, the second preset characteristic value, and the third preset characteristic value are determined by formula (1), formula (2), and formula (3), respectively:
wherein Z is1Is a first predetermined characteristic value, Z2For a second predetermined characteristic value, Z3Is a third preset characterizing value.
In the embodiment of the application, the minimum value of the normal pressure is the difference value between the average value of all pressure values of the oil pump of the lubricating system and three times of standard deviation of the pressure values; the maximum value of the normal pressure is the sum of the average value of the pressure values and three times of standard deviation of the pressure values; the minimum value of the normal pressure pulse size is the difference between the average value of all the pressure pulse sizes of the oil pump and three times of standard deviation of the pressure pulse sizes; the maximum value of the normal pressure pulse size is the sum of the average value of the pressure pulse size and the standard deviation of the pressure pulse size which is three times larger; the minimum value of the normal pressure pulse time is the difference between the average value of the pressure pulse time of the oil pump and three times of standard deviation of the pressure pulse time; the maximum value of the normal pressure pulse time is the sum of the average value of the pressure pulse time and three times of standard deviation of the pressure pulse time; the normal flow minimum is the difference between the average of all flow values of the oil pump and three times the standard deviation of the flow values.
In the embodiment of the present application, the state characterizing value is determined by formula (4):
wherein Z is a state characterization value; n is the total number of data collected in a detection period; i is a data serial number; k1 is a pressure characterization coefficient, and the average value of the pressure interval is obtained by collecting the pressure interval when the lubricating oil pump normally operates within a period of time; ai is the acquired instantaneous pressure value, i is from 1 to n; k2 is a pulse size characterization coefficient, and the average value is added with 2 sigma by collecting normal distribution of pulse size of the lubricating oil pump within a period of time;
the average value of the pulse size collected in one detection period is obtained; k3 is a pulse time characterization coefficient, and the average value is added with 2 sigma by collecting normal distribution of pulse time of the lubricating oil pump within a period of time;
is the average value of the pulse time collected in one detection period; k4 is a flow rate characterization coefficient, and the average value is added with 2 sigma by collecting normal distribution of the flow rate of the lubricating oil pump within a period of time;
is the average of the flow rates collected during one detection period.
In an embodiment of the present application, determining the pulse size and the pulse period corresponding to the pressure data includes: acquiring pressure data in each preset time period, wherein the pressure data comprises pressure values of a plurality of oil outlet pipelines and time corresponding to each pressure value; determining a first pressure value which is the earliest and is greater than a preset value as a starting node of the start of pulse, wherein the first pressure value is greater than the preset pressure lowest value; determining a second pressure value which is greater than a preset value in difference with the preset pressure minimum value and has the earliest time as an end node of pulse ending, wherein the second pressure value is less than the preset pressure minimum value; the time difference between the start node and the end node is determined as the pulse period.
A second aspect of the present application provides a controller configured to perform the above-described method for determining a type of a work machine lubrication system fault.
A third aspect of the present application provides a lubrication system comprising: an oil outlet pipeline;
the oil pressure sensor is used for acquiring pressure data of the oil outlet pipeline;
the flow sensor is used for acquiring flow data of the oil outlet pipeline; and
a controller configured to perform the above-described method for determining a type of a work machine lubrication system fault.
In an embodiment of the application, the lubrication system further comprises:
the lubricating pump is used for conveying lubricating oil for the stirrer;
and the pump core is used for sucking and pumping lubricating oil.
The fourth aspect of the application provides a construction machine, and the construction machine comprises the lubricating system.
According to the technical scheme, the pressure data and the flow data of the oil outlet pipelines are periodically acquired, the pulse size and the pulse period of the pressure are determined, the fault type of the lubricating system is determined according to the state representation value of the lubricating system determined by the monitoring model, the real-time monitoring on the state of the lubricating system is realized, the typical fault of the lubricating system at the shaft end of the stirring machine can be accurately monitored, and then corresponding protective measures are taken according to the real-time running condition of the lubricating system.
Additional features and advantages of embodiments of the present application will be described in detail in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain the embodiments of the disclosure, but are not intended to limit the embodiments of the disclosure. In the drawings:
FIG. 1 schematically illustrates a schematic diagram of a blender according to an embodiment of the present application;
FIG. 2 schematically illustrates a flow diagram of a method for determining a type of a work machine lubrication system fault according to an embodiment of the present application;
FIG. 3 schematically illustrates a four-way pressure value data continuous acquisition schematic in accordance with an embodiment of the present application;
FIG. 4 schematically illustrates a four-way pressure probability density histogram in accordance with an embodiment of the present application;
fig. 5 schematically shows a block diagram of a lubrication system according to an embodiment of the present application.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it should be understood that the specific embodiments described herein are only used for illustrating and explaining the embodiments of the present application and are not used for limiting the embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The method for determining the fault type of the lubricating system of the engineering machinery can be applied to a stirring machine shown in the figure 1. The lubricating pump 101 is used for conveying lubricating oil for the blender, the oil outlet pipeline 102 is used as a flowing carrier of the lubricating oil, the pump core 103 is used for pumping and pumping the lubricating oil, and the oil pressure sensor 104 is used for collecting pressure data of the oil outlet pipeline. The lubricating pump 101 is mainly used for conveying lubricating oil for a shaft end lubricating system of the stirring machine, the lubricating pump 101 is vertically arranged at the bottom of the main oil tank, oil is absorbed through a filter screen (not shown) at the top of the lubricating pump 101, and the lubricating pump 101 discharges oil to the lubricating oil outlet pipelines 102. In normal operation, when the meshed gears rotate in the lubricating pump 101, the lubricating oil is discharged out of the pump from the discharge port of the pump by liquid pressure, the pressure of the four oil outlet pipelines can reach 2-10MPa, and the required pulse pressure of more than 0.2MPa is not less than 2 times per minute. The oil pressure sensor 104 is respectively installed at four oil outlets of the lubricating oil pump of the stirring machine in the embodiment of the application and used for monitoring the pressure of each oil outlet in real time, and after the real-time oil pressure is collected, the data are uploaded to a controller (not shown in the figure) through a gateway, and the original oil pump pressure is converted into the pulse size and the pulse duration. And substituting the input information into the monitoring model to obtain the real-time current state of the shaft end lubricating system of the stirrer.
Referring to fig. 2, in an embodiment of the present application, a method for determining a type of a fault of a lubrication system of a construction machine is provided, and the present embodiment is mainly illustrated by applying the method to the mixer in fig. 1. Wherein, the lubricating system of mixer includes a plurality of oil outlet pipelines, and the method includes the following steps:
In step 202, the pulse size and pulse period of the pressure corresponding to the pressure data are determined.
And step 203, inputting the pressure data, the flow data, the pulse size and the pulse period into a monitoring model to obtain a state representation value of the lubricating system.
And step 204, determining the fault type of the lubricating system according to the state representation value.
First, pressure data and flow data of a plurality of flowlines may be periodically collected via flow sensors, pressure sensors, etc., and the collected data transmitted to a controller. After the controller acquires the pressure data and the flow data of the oil outlet pipelines, the pulse size and the pulse period corresponding to the pressure can be determined through the analysis of the pressure data and the flow data. Further, a monitoring model can be constructed, and pressure data, flow data, pulse size and pulse period are input into the monitoring model, so that a state characteristic value of the lubricating system is calculated through the monitoring model, and the fault type of the lubricating system can be determined through the state characteristic value of the lubricating system. The state representation value may be a parameter value preset by a worker and used for describing the working state of the lubrication system.
In one embodiment, determining the pulse size and pulse period to which the pressure data corresponds comprises: acquiring pressure data in each preset time period, wherein the pressure data comprises pressure values of a plurality of oil outlet pipelines and time corresponding to each pressure value; determining a first pressure value which is the earliest and is greater than a preset value as a starting node of the start of pulse, wherein the first pressure value is greater than the preset pressure lowest value; determining a second pressure value which is greater than a preset value in difference with the preset pressure minimum value and has the earliest time as an end node of pulse ending, wherein the second pressure value is less than the preset pressure minimum value; the time difference between the start node and the end node is determined as the pulse period.
For example, pressure data for the blender oil pump may be collected every 20-50ms and the lowest pressure value recorded every minute. Setting a preset value k, and when the pressure is increased to be larger than the lowest value + k, determining that the pulse starts; when the pressure drops below the minimum value + k, the pulse is considered to be over. The process from the beginning of one pulse to the end of the pulse is a pulse period. The pulse duration can be obtained by calculating the pulse period time. Specifically, pressure sensors can be installed at outlets of four pump cores of the lubricating pump, a lubricating pump monitoring system is carried, the real-time state of four paths of pressure signals of an outlet of the lubricating pump is monitored on line respectively, pressure data collection and storage are completed, and the lubricating state of the stirring machine is detected in real time. The pressure of four oil outlet pipelines of a known lubricating pump pipeline of a certain specific model is detected, data of the pressure value (unit: Mpa) and the ambient temperature (unit: DEG C) of the oil outlet pipeline of the lubricating system are collected, and a four-way pressure value data continuous collection schematic diagram shown in figure 3 can be obtained by continuously collecting data for 100 hours (about 10 ten thousand). Wherein, value1, vlaue2, value3 and value4 respectively represent the pressure value of the four-way oil outlet pipeline. As shown in fig. 4, a four-way pressure probability density histogram is schematically shown.
In one embodiment, the state characterising value is determined by equation (4):
wherein Z is a state characterization value; n is the total number of data collected in a detection period, for example, the detection period is 60s, and if one data is collected every 20ms, the value of n is 1200; i is a data sequence number which represents the data from the 1 st group to the n-th group; k1 is a pressure characterization coefficient, and the average value of the pressure interval is obtained by collecting the pressure interval when the lubricating oil pump normally operates within a period of time; ai is the acquired instantaneous pressure value, i is from 1 to n; k2 is a pulse size characterization coefficient, and the average value is added with 2 sigma by collecting normal distribution of pulse size of the lubricating oil pump within a period of time;
the average value of the pulse size collected in one detection period is obtained; k3 is a pulse time characterization coefficient, and the average value is added with 2 sigma by collecting normal distribution of pulse time of the lubricating oil pump within a period of time;
is the average value of the pulse time collected in one detection period; k4 is a flow rate characterization coefficient, and the average value is added with 2 sigma by collecting normal distribution of the flow rate of the lubricating oil pump within a period of time;
is the average of the flow rates collected during one detection period.
In one embodiment, determining the type of fault of the lubrication system from the state characterizing value comprises: when the state characteristic value Z is smaller than a first preset characteristic value Z1Determining the fault type to be a pump core fault under the condition of (1); when the state characteristic value Z is greater than or equal to a first preset characteristic value Z1And is less than or equal to a second preset characteristic value Z2Determining the fault type to be an oil shortage fault under the condition of (1); when the state characteristic value Z is larger than a second preset characteristic value Z2And is less than a third preset characteristic value Z3Determining that the lubrication system is not malfunctioning; when the state characteristic value Z is greater than or equal to a third preset characteristic value Z3In the case of (2), the failure type is determined to be a pump tube failure.
Specifically, as shown in table 1, table 1 schematically shows the lubrication system state and state characterization value correspondence, where Z1Is a first predetermined characteristic value, Z2For a second predetermined characteristic value, Z3For the third preset characterization value:
| interval of Z value | <Z1 | (Z1,Z2] | (Z2,Z3) | ≥Z3 |
| Lubrication system status | Failure of pump core | Lack of oil | Normal operation | Pump line failure |
TABLE 1
There are many factors that influence the accuracy rate of judging the faults of the shaft end lubricating system of the stirring machine, such as the temperature of lubricating oil, the type of grease, the channel distance and the like, and the fault appearance is as follows: 1) the hydraulic system has insufficient or no pressure, and comprises: when the hydraulic pump cannot pump out pressure or the pressure is insufficient, the pump core is blocked and abraded in most cases; the viscosity of the hydraulic oil is reduced, so that the volumetric efficiency of the whole system is reduced, and the pressure cannot meet the operation requirement; the control pressure of the relief valve is not adjusted to an appropriate pressure. 2) Starvation failure (too little or no flow): in most cases, the oil supply channel is blocked due to the reasons that the oil tank is lack of oil, the oil suction oil filter or the oil suction tank is blocked, compressed air exists in the oil suction pipe, the viscosity of hydraulic oil is too high, and the oil pump cannot suck oil normally. 3) Core failure (flow pulsation or pressure fluctuation): when the lubricating system at the shaft end of the blender has pulsation or unbalanced pressure, the phenomenon of abrasion of the pump core to a certain degree usually occurs.
In one embodiment, the first predetermined characterization value is determined from a normal pressure minimum value, a normal pressure pulse magnitude minimum value, a normal pressure pulse time minimum value, a normal flow minimum value, a pressure average value, a pressure pulse magnitude average value, a pressure pulse time average value, and a flow magnitude average value of the flowline; the second preset characteristic value is determined according to the maximum value of the normal pressure, the minimum value of the normal pressure pulse size, the minimum value of the normal pressure pulse time, the minimum value of the normal flow, the pressure average value, the pressure pulse size average value, the pressure pulse time average value and the flow size average value of the oil outlet pipeline; the third preset characterization value is determined according to the maximum value of the normal pressure, the maximum value of the size of the normal pressure pulse, the average value of the pressure, the average value of the size of the pressure pulse, the time average value of the pressure pulse and the average value of the flow.
In a specific embodiment, the interval of the token value Z is divided, a first preset token value, a second preset token value and a third preset token value are used as dividing nodes, and the first preset token value Z is used as a dividing node1A second preset characteristic value Z2And a third predetermined characterizing value Z3Determined by formula (1), formula (2) and formula (3), respectively:
the calculation mode of each parameter is as follows:
average pressure: and collecting all pressure values of the lubricating oil pump, and calculating to obtain an average value. Normal pressure minimum: and collecting all pressure values of the lubricating oil pump, calculating to obtain an average value and a standard deviation, and subtracting three times of the standard deviation from the average value to obtain a normal pressure minimum value. Maximum normal pressure: and collecting all pressure values of the lubricating oil pump, calculating to obtain an average value and a standard deviation, and adding three times of the standard deviation to the average value to obtain the maximum value of the normal pressure. Average value of pressure pulse size: and collecting all pressure pulses of the lubricating oil pump, and calculating to obtain an average value of the pressure pulses. Normal pressure pulse size minimum: all pressure pulses of the lubricating oil pump are collected, the average value and the standard deviation of the pressure pulses are calculated, and the minimum value of the normal pressure pulses is obtained by subtracting three times of the standard deviation from the average value. Maximum value of normal pressure pulse size: all pressure pulses of the lubricating oil pump are collected, the average value and the standard deviation of the pressure pulses are calculated, and the maximum value of the normal pressure pulses is obtained by adding three times of the standard deviation to the average value. Pressure pulse time average: and collecting all pressure pulse time of the lubricating oil pump, and calculating to obtain a pressure pulse time average value. Normal pressure pulse time minimum: and collecting all pressure pulse time of the lubricating oil pump, calculating to obtain a pressure pulse time average value and a standard deviation, and subtracting three times of the standard deviation from the average value to obtain a normal pressure pulse time minimum value. Normal pressure pulse time maximum: and collecting all pressure pulse time of the lubricating oil pump, calculating to obtain a pressure pulse time average value and a standard deviation, and adding three times of the standard deviation to the average value to obtain a normal pressure pulse time maximum value. Average flow rate: and collecting all flow data of the lubricating oil pump, and calculating to obtain a flow average value. Normal minimum flow: and collecting all flow data of the lubricating oil pump, calculating to obtain an average value and a standard deviation, and subtracting three times of the standard deviation from the average value to obtain a normal flow minimum value. And establishing a judging flow model according to the fault judging conditions of the shaft end lubricating system of the stirring machine, and substituting the collected, analyzed and calculated parameters into different characteristic value intervals to obtain four different fault results. And displaying the fault result on an interactive system interface for an operator to judge the current state of the shaft end lubricating system of the stirrer.
According to the technical scheme, the pressure data and the flow data of the oil outlet pipelines are periodically acquired, the pulse size and the pulse period of the pressure are determined, and the fault type of the lubricating system is determined according to the state representation value of the lubricating system determined by the monitoring model. The state of the lubricating system is monitored in real time, typical faults of the lubricating system at the shaft end of the stirring machine can be accurately monitored, and corresponding protective measures are taken according to the real-time running condition of the lubricating system.
Fig. 2 schematically shows a flow diagram of a method for determining a type of a fault of a lubrication system of a work machine according to an embodiment of the application. It should be understood that, although the steps in the flowchart of fig. 2 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in fig. 2 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
The embodiment of the application provides a controller and a processor for running a program, wherein the program runs to execute the method for determining the fault type of the engineering machine lubrication system.
In one embodiment, as shown in fig. 5, a lubrication system is provided, the lubrication system 500 comprising:
an oil outlet pipeline 501;
an oil pressure sensor 502 for collecting pressure data of the oil outlet pipeline;
the flow sensor 503 is used for acquiring flow data of the oil outlet pipeline;
a lubrication pump 504 for delivering lubrication oil to the blender;
a pump cartridge 505 for sucking and pumping lubricating oil;
a controller 506 configured to perform the above-described method for determining a type of a work machine lubrication system fault.
In one embodiment, a work machine is provided, comprising the lubrication system described above.
The controller comprises a kernel, and the kernel calls the corresponding program unit from the memory. The kernel can be provided with one or more than one, and the method for determining the fault type of the engineering machinery lubricating system is realized by adjusting the kernel parameters.
The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
The embodiment of the application provides a storage medium, wherein the storage medium stores a program, and the program is used for realizing the method for determining the fault type of the engineering machinery lubricating system when being executed by a processor.
The embodiment of the application provides equipment, the equipment comprises a processor, a memory and a program which is stored on the memory and can run on the processor, and the following steps are realized when the processor executes the program:
periodically acquiring pressure data and flow data of a plurality of oil outlet pipelines;
determining the pulse size and the pulse period of the pressure corresponding to the pressure data;
inputting the pressure data, the flow data, the pulse size and the pulse period into a monitoring model to obtain a state representation value of the lubricating system;
and determining the fault type of the lubricating system according to the state characterization value.
In an embodiment of the present application, determining the type of fault of the lubrication system from the state characterizing value includes: determining the fault type as a pump core fault under the condition that the state characteristic value is smaller than a first preset characteristic value; determining the fault type to be an oil shortage fault under the condition that the state characteristic value is greater than or equal to a first preset characteristic value and less than or equal to a second preset characteristic value; determining that the lubricating system does not break down under the condition that the state characteristic value is greater than a second preset characteristic value and less than a third preset characteristic value; and determining the fault type as the pump pipe fault under the condition that the state characteristic value is greater than or equal to a third preset characteristic value.
In the embodiment of the application, the first preset characterization value is determined according to the minimum value of normal pressure, the minimum value of normal pressure pulse size, the minimum value of normal pressure pulse time, the minimum value of normal flow, the average value of pressure pulse size, the average value of pressure pulse time and the average value of flow size of the oil outlet pipeline; the second preset characteristic value is determined according to the maximum value of the normal pressure, the minimum value of the normal pressure pulse size, the minimum value of the normal pressure pulse time, the minimum value of the normal flow, the pressure average value, the pressure pulse size average value, the pressure pulse time average value and the flow size average value of the oil outlet pipeline; the third preset characterization value is determined according to the maximum value of the normal pressure, the maximum value of the size of the normal pressure pulse, the average value of the pressure, the average value of the size of the pressure pulse, the time average value of the pressure pulse and the average value of the flow.
In the embodiment of the present application, the first characteristic value, the second characteristic value, and the third characteristic value are determined by formula (1), formula (2), and formula (3), respectively:
wherein Z is1Is a first predetermined characteristic value, Z2For a second predetermined characteristic value, Z3Is a third preset characterizing value.
In the embodiment of the application, the minimum value of the normal pressure is the difference value between the average value of all pressure values of the oil pump of the lubricating system and three times of standard deviation of the pressure values; the maximum value of the normal pressure is the sum of the average value of the pressure values and three times of standard deviation of the pressure values; the minimum value of the normal pressure pulse size is the difference between the average value of all the pressure pulse sizes of the oil pump and three times of standard deviation of the pressure pulse sizes; the maximum value of the normal pressure pulse size is the sum of the average value of the pressure pulse size and the standard deviation of the pressure pulse size which is three times larger; the minimum value of the normal pressure pulse time is the difference between the average value of the pressure pulse time of the oil pump and three times of standard deviation of the pressure pulse time; the maximum value of the normal pressure pulse time is the sum of the average value of the pressure pulse time and three times of standard deviation of the pressure pulse time; the normal flow minimum is the difference between the average of all flow values of the oil pump and three times the standard deviation of the flow values.
In the embodiment of the present application, the state characterizing value is determined by formula (4):
wherein Z is a state characterization value; n is the total number of data collected in a detection period; i is a data serial number; k1 is a pressure characterization coefficient, and the average value of the pressure interval is obtained by collecting the pressure interval when the lubricating oil pump normally operates within a period of time; ai is the acquired instantaneous pressure value, i is from 1 to n; k2 is a pulse size characterization coefficient, and the average value is added with 2 sigma by collecting normal distribution of pulse size of the lubricating oil pump within a period of time;
is oneDetecting an average value of the pulse sizes acquired in a period; k3 is a pulse time characterization coefficient, and the average value is added with 2 sigma by collecting normal distribution of pulse time of the lubricating oil pump within a period of time;
is the average value of the pulse time collected in one detection period; k4 is a flow rate characterization coefficient, and the average value is added with 2 sigma by collecting normal distribution of the flow rate of the lubricating oil pump within a period of time;
is the average of the flow rates collected during one detection period.
In an embodiment of the present application, determining the pulse size and the pulse period corresponding to the pressure data includes: acquiring pressure data in each preset time period, wherein the pressure data comprises pressure values of a plurality of oil outlet pipelines and time corresponding to each pressure value; determining a first pressure value which is the earliest and is greater than a preset value as a starting node of the start of pulse, wherein the first pressure value is greater than the preset pressure lowest value; determining a second pressure value which is greater than a preset value in difference with the preset pressure minimum value and has the earliest time as an end node of pulse ending, wherein the second pressure value is less than the preset pressure minimum value; the time difference between the start node and the end node is determined as the pulse period.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (11)
1. A method for determining a type of a work machine lubrication system fault, wherein the lubrication system includes a plurality of flow lines, the method comprising:
periodically acquiring pressure data and flow data of the oil outlet pipelines;
determining the pulse size and pulse period of the pressure corresponding to the pressure data;
inputting the pressure data, the flow data, the pulse size and the pulse period into a monitoring model to obtain a state representation value of the lubricating system;
and determining the fault type of the lubricating system according to the state characterization value.
2. The method of claim 1, wherein said determining a fault type of the lubrication system from the state characterizing value comprises:
determining the fault type to be a pump core fault under the condition that the state characteristic value is smaller than a first preset characteristic value;
determining the fault type to be an oil shortage fault under the condition that the state characteristic value is greater than or equal to the first preset characteristic value and less than or equal to the second preset characteristic value;
determining that the lubricating system is not in fault under the condition that the state representation value is larger than the second preset representation value and smaller than a third preset representation value;
and determining the fault type as a pump pipe fault under the condition that the state characteristic value is greater than or equal to the third preset characteristic value.
3. The method of claim 2 wherein said first predetermined characteristic is determined from a normal pressure minimum, a normal pressure pulse magnitude minimum, a normal pressure pulse time minimum, a normal flow minimum, a pressure average, a pressure pulse magnitude average, a pressure pulse time average, and a flow magnitude average of said flowline;
the second preset characterization value is determined according to the maximum normal pressure value, the minimum normal pressure pulse size value, the minimum normal pressure pulse time value, the minimum normal flow value, the pressure average value, the pressure pulse size average value, the pressure pulse time average value and the flow size average value of the oil outlet pipeline;
the third preset characterization value is determined according to the maximum value of the normal pressure, the maximum value of the size of the normal pressure pulse, the average value of the pressure, the average value of the size of the pressure pulse, the time average value of the pressure pulse and the average value of the size of the flow.
4. The method according to claim 3, characterized in that the first, second and third preset characterising values are determined by formula (1), formula (2) and formula (3), respectively:
wherein Z is1Is the first predetermined characterizing value, Z2Is the second predetermined characterizing value, Z3And the third preset characterization value is obtained.
5. The method of claim 4, wherein the normal pressure minimum is the difference between the average of all pressure values of the lubrication system oil pump and three times the standard deviation of the pressure values; the normal pressure maximum is the sum of the average of the pressure values and three times the standard deviation of the pressure values; the minimum value of the normal pressure pulse size is the difference between the average value of all the pressure pulse sizes of the oil pump and three times of standard deviation of the pressure pulse sizes; the normal pressure pulse magnitude maximum is the sum of the average of the pressure pulse magnitudes and the standard deviation of the pressure pulse magnitude tripled; the normal pressure pulse time minimum is the difference between the average value of the pressure pulse time of the oil pump and three times of the standard deviation of the pressure pulse time; the normal pressure pulse time maximum is the sum of the average of the pressure pulse times and three times the standard deviation of the pressure pulse times; the normal flow minimum value is a difference between an average value of all flow values of the oil pump and three times of a standard deviation of the flow values.
6. The method of claim 1, wherein the state characterising value is determined by equation (4):
wherein Z is the state characterizing value; n is the total number of data collected in a detection period; i is a data serial number; k1 is a pressure characterization coefficient, and the average value of the pressure interval is obtained by collecting the pressure interval when the lubricating oil pump normally operates within a period of time; ai is the acquired instantaneous pressure value, i is from 1 to n; k2 is a pulse size characterization coefficient, and the average value is added with 2 sigma by collecting normal distribution of pulse size of the lubricating oil pump within a period of time;
the average value of the pulse size collected in one detection period is obtained; k3 is a pulse time characterization coefficient, and the average value is added with 2 sigma by collecting normal distribution of pulse time of the lubricating oil pump within a period of time;
is the average value of the pulse time collected in one detection period; k4 is a flow rate characterization coefficient, and the average value is added with 2 sigma by collecting normal distribution of the flow rate of the lubricating oil pump within a period of time;
is the average of the flow rates collected during one detection period.
7. The method of claim 1, wherein the determining the pulse size and pulse period to which the pressure data corresponds comprises:
acquiring pressure data in each preset time period, wherein the pressure data comprises a plurality of pressure values of the oil outlet pipeline and time corresponding to each pressure value;
determining a first pressure value which is greater than a preset value in difference with a preset pressure minimum value and is earliest in time as a starting node of pulse start, wherein the first pressure value is greater than the preset pressure minimum value;
determining a second pressure value which is greater than the preset value in difference with the preset pressure lowest value and has the earliest time as an end node of pulse ending, wherein the second pressure value is smaller than the preset pressure lowest value;
determining a time difference between the start node and the end node as a pulse period.
8. A controller, characterized by being configured to execute the method for determining a type of a work machine lubrication system fault according to any one of claims 1-7.
9. A lubrication system, characterized in that the lubrication system comprises:
an oil outlet pipeline;
the oil pressure sensor is used for acquiring pressure data of the oil outlet pipeline;
the flow sensor is used for acquiring flow data of the oil outlet pipeline; and
the controller of claim 8.
10. The lubrication system of claim 9, further comprising:
the lubricating pump is used for conveying lubricating oil for the stirrer;
and the pump core is used for sucking and pumping lubricating oil.
11. A working machine, characterized in that the working machine comprises a lubrication system according to claim 9.
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| CN114001266B (en) | 2022-08-12 |
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