CN111238599A - Method and device for monitoring abnormal oil level of machine in static state - Google Patents
Method and device for monitoring abnormal oil level of machine in static state Download PDFInfo
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- CN111238599A CN111238599A CN202010047409.4A CN202010047409A CN111238599A CN 111238599 A CN111238599 A CN 111238599A CN 202010047409 A CN202010047409 A CN 202010047409A CN 111238599 A CN111238599 A CN 111238599A
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- G01—MEASURING; TESTING
- G01F—MEASURING VOLUME, VOLUME FLOW, MASS FLOW OR LIQUID LEVEL; METERING BY VOLUME
- G01F23/00—Indicating or measuring liquid level or level of fluent solid material, e.g. indicating in terms of volume or indicating by means of an alarm
- G01F23/14—Indicating or measuring liquid level or level of fluent solid material, e.g. indicating in terms of volume or indicating by means of an alarm by measurement of pressure
Abstract
The application discloses an oil level abnormity monitoring method and device of a machine in a static state, electronic equipment and a readable storage medium. The method comprises the following steps: collecting oil pressure monitoring data of a machine to obtain at least one oil pressure segment data; determining the oil pressure variation of each oil pressure segment according to the oil pressure segment data; determining an oil pressure drop segment according to the oil pressure segment data, the oil pressure variation and the mechanical state; and judging whether the oil level is abnormal or not according to the continuous oil pressure reduction time in the oil pressure reduction segment. The technical problem that related personnel cannot timely process oil level of the oil tank in a mechanical static state due to lack of effective monitoring on the oil level of the oil tank in the related technology is solved. Through the application, the purpose of effectively monitoring the oil level of machinery in a static state is achieved, so that the technical effect of informing relevant personnel of processing in time when the oil level is abnormal and preventing fuel oil from being stolen is achieved.
Description
Technical Field
The application relates to the technical field of engineering machinery oil level monitoring, in particular to an oil level abnormity monitoring method and device of machinery in a static state, electronic equipment and a readable storage medium.
Background
Oil level measurement and monitoring is one of the important areas in the field of detection and control. Because the fuel price in the current market is higher, the phenomenon of oil stealing of individual personnel for oil drainage from an oil tank under the static state of machinery such as vehicles and the like sometimes happens due to the private favor of greedy pictures, and particularly the phenomenon of oil stealing is more frequent in the current engineering field, so that the fuel oil is lost for owners or operation companies where the vehicles are located. In order to eliminate the phenomenon, the oil level of the oil tank of the mechanical vehicle is monitored, the abnormal phenomenon is detected, and a manager or a vehicle owner can effectively monitor the oil consumption condition of the vehicle.
However, the management and control of the behavior of oil stealing in the related art is mainly to strengthen physical measures to prevent theft at present, and the oil tank port is easy to steal oil after being pried directly due to the oil discharge port of the repairing machine at the bottom of the oil tank of the machine, so that mechanical managers cannot know the behavior in time.
Aiming at the problem that related personnel cannot timely process the oil level of the oil tank in a mechanical static state due to lack of effective monitoring on the oil level of the oil tank in the related technology, an effective solution is not provided at present.
Disclosure of Invention
The application mainly aims to provide a method and a device for monitoring the oil level abnormality of a machine in a static state, an electronic device and a readable storage medium, so as to solve the problem that related personnel cannot timely handle the oil level abnormality due to the lack of effective monitoring on the oil level of an oil tank in the static state of the machine in the related art.
In order to achieve the above object, according to a first aspect of the present application, there is provided an oil level abnormality monitoring method of a machine in a stationary state.
The oil level abnormality monitoring method of a machine in a stationary state according to the application includes: collecting oil pressure monitoring data of a machine to obtain at least one oil pressure segment data, wherein the oil pressure segment data comprises a starting oil pressure and a terminating oil pressure of each oil pressure segment; determining the oil pressure variation of each oil pressure segment according to the oil pressure segment data; determining an oil pressure drop segment according to the oil pressure segment data, the oil pressure variation and the mechanical state; and judging whether the oil level is abnormal or not according to the continuous oil pressure reduction time in the oil pressure reduction segment.
Further, the determining an oil pressure drop segment according to the oil pressure segment data, the oil pressure variation amount, and the mechanical state includes: calculating an initial drop oil pressure according to the oil pressure variation of the oil pressure segment and the initial oil pressure; calculating a terminal drop oil pressure from the oil pressure change amount of the oil pressure segment and the terminal oil pressure; determining the oil pressure drop segment from the start drop oil pressure and the end drop oil pressure.
Further, the determining an oil pressure drop segment according to the oil pressure segment data, the oil pressure variation amount, and the mechanical state includes: searching the oil pressure with the minimum error with the initial oil pressure drop in the oil pressure segment data in a positive direction to serve as an oil pressure drop initial point; reversely searching the oil pressure with the minimum error with the oil pressure drop termination in the oil pressure segment data to be used as an oil pressure drop termination point; and determining the oil pressure drop segment according to the oil pressure drop starting point and the oil pressure drop ending point.
Further, the determining an oil pressure change amount of each of the oil pressure segments according to the oil pressure segment data includes: comparing the oil pressure variation of each oil pressure segment with a preset oil pressure variation threshold value respectively; and screening the oil pressure segment with the oil pressure variation larger than the preset oil pressure variation threshold value according to the comparison result to serve as the oil pressure reduction segment.
Further, the determining whether the oil level is abnormal according to the oil pressure continuous decreasing time in the oil pressure decreasing section includes: comparing the continuous oil pressure reduction time with a preset time threshold; and if the continuous oil pressure reduction time is greater than the preset time threshold, determining that the oil level is abnormal.
Further, the oil pressure drop section includes an oil pressure drop starting point and an oil pressure drop ending point, and if the oil pressure continuous drop time is greater than the preset time threshold, determining that the oil level is abnormal includes: sparse sampling is carried out on the oil pressure data before the time corresponding to the oil pressure reduction starting point, so that first oil pressure fragment data are obtained; sparse sampling is carried out on the oil pressure data after the time corresponding to the oil pressure reduction termination point, so that second oil pressure segment data are obtained; the first oil pressure segment data and the second oil pressure segment data are respectively searched to determine an oil level abnormality start and stop point.
In order to achieve the above object, according to a second aspect of the present application, there is provided an oil level abnormality monitoring device of a machine in a stationary state.
The oil level abnormality monitoring device of a machine in a stationary state according to the present application includes: the oil pressure monitoring module is used for acquiring oil pressure monitoring data of machinery to acquire at least one oil pressure segment data, and the oil pressure segment data comprises a starting oil pressure and a stopping oil pressure of each oil pressure segment; the first determining module is used for determining the oil pressure change amount of each oil pressure segment according to the oil pressure segment data; the second determining module is used for determining an oil pressure reduction segment according to the oil pressure segment data, the oil pressure variation and the mechanical state; and the judging module is used for judging whether the oil level is abnormal or not according to the continuous oil pressure reduction time in the oil pressure reduction segment.
Further, the second determining module includes: a first calculation unit for calculating a start drop oil pressure from the oil pressure variation amount of the oil pressure segment and the start oil pressure; a second calculation unit for calculating a termination drop oil pressure from the oil pressure change amount of the oil pressure segment and the termination oil pressure; a first determination unit for determining the oil pressure drop section based on the start drop oil pressure and the end drop oil pressure.
In order to achieve the above object, according to a third aspect of the present application, there is provided an electronic apparatus comprising: one or more processors; storage means for storing one or more programs; the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method as previously described.
In order to achieve the above object, according to a fourth aspect of the present application, there is provided a non-transitory readable storage medium having stored thereon computer instructions which, when executed by a processor, implement the steps of the method as described above.
In the embodiment of the application, oil pressure monitoring data of a collection machine is adopted to obtain at least one oil pressure segment data, wherein the oil pressure segment data comprises a starting oil pressure and a terminating oil pressure of each oil pressure segment; determining the oil pressure variation of each oil pressure segment according to the oil pressure segment data; according to the oil pressure fragment data, the oil pressure variation and the mechanical state, the mode of the oil pressure reduction fragment is determined, whether the oil level is abnormal or not is judged according to the continuous oil pressure reduction time in the oil pressure reduction fragment, the aim of effectively monitoring the oil level of machinery in a static state is fulfilled, and therefore the oil level is abnormal and related personnel are timely informed to process, the technical effect that fuel oil is stolen is prevented, and the technical problem that the related personnel cannot timely process due to lack of effective monitoring on the oil level of the oil tank in the mechanical static state in the related technology is solved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, serve to provide a further understanding of the application and to enable other features, objects, and advantages of the application to be more apparent. The drawings and their description illustrate the embodiments of the invention and do not limit it. In the drawings:
FIG. 1 is a schematic flow chart of a method for monitoring abnormal oil level in a stationary state of a machine according to a first embodiment of the present disclosure;
FIG. 2 is a schematic flow chart of a method for monitoring abnormal oil level in a stationary state of a machine according to a second embodiment of the present disclosure;
FIG. 3 is a schematic flow chart of a method for monitoring abnormal oil level in a stationary state of a machine according to a third embodiment of the present disclosure;
FIG. 4 is a schematic flow chart of a method for monitoring abnormal oil level in a static state of a machine according to a fourth embodiment of the present disclosure;
FIG. 5 is a schematic flow chart of a method for monitoring abnormal oil level in a stationary state of a machine according to a fifth embodiment of the present disclosure;
FIG. 6 is a schematic flow chart of a method for monitoring abnormal oil level in a static state of a machine according to a sixth embodiment of the present application;
FIG. 7 is a schematic diagram of the component structure of an oil level abnormality monitoring device of a machine in a stationary state according to an embodiment of the present application; and
fig. 8 is a schematic diagram of a composition structure of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in 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 is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. 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.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be used. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
According to an embodiment of the present invention, there is provided a method for monitoring an oil level abnormality of a machine in a stationary state, as shown in fig. 1, the method including steps S101 to S104 as follows:
step S101, collecting oil pressure monitoring data of a machine to obtain at least one oil pressure segment data, wherein the oil pressure segment data comprises a starting oil pressure and a terminating oil pressure of each oil pressure segment.
In specific implementation, the oil level in a tank of a mechanical device is measured and collected through an oil pressure sensor to obtain oil pressure monitoring data, and the collected oil pressure monitoring data is further divided into m oil pressure segments A { A1, A2, … …, Am } according to time to analyze and process the oil pressure data of the oil pressure segments, wherein each oil pressure segment comprises a starting oil pressure P1 and a stopping oil pressure P2 in a corresponding time period.
Step S102, determining the oil pressure variation of each oil pressure segment according to the oil pressure segment data.
In specific implementation, according to the plurality of oil pressure segment data obtained above, a start oil pressure and an end oil pressure corresponding to each oil pressure segment are respectively determined, and an oil pressure change △ P of each oil pressure segment is calculated according to the start oil pressure and the end oil pressure of each segment (P2-P1).
And step S103, determining an oil pressure drop segment according to the oil pressure segment data, the oil pressure variation and the mechanical state.
In specific implementation, the mechanical state may specifically include: a stationary state, a normal operating state and an idle state. In a mechanical static state, the oil level and the liquid level should be kept constant, and if the oil pressure value is obviously reduced in a static time, the oil level abnormal phenomenon can be basically judged to occur. Different from the static state, the machine has the characteristic that the oil level and the liquid level of the oil level continuously vibrate in the normal working state, the whole machine is in a descending trend, and in the idling state, the vibration amplitude of the machine is smaller than that in the normal working state, and the oil consumption is slower than that in the normal working state, namely, the vibration amplitude of the machine in the normal working state and the idling state is larger than that in the static state, and the oil consumption is faster than that in the static state. Therefore, the oil level variation range of the machine in different states is different, and the criteria for determining the oil level abnormality are also different, so that the criteria for determining the oil level abnormality need to be determined according to the machine state. In the embodiment of the application, the monitoring of the oil level abnormity in the static state is mainly aimed at.
After the oil pressure variation of each oil pressure segment is obtained, a corresponding oil pressure variation threshold needs to be determined according to the mechanical state, and then oil pressure variation data for judging the oil pressure abnormality is determined. Then, determining a starting point of the oil pressure drop according to the oil pressure variation amount and the starting oil pressure corresponding to each oil pressure segment, and determining a termination point of the oil pressure drop according to the oil pressure variation amount and the termination oil pressure corresponding to each oil pressure segment, specifically, determining according to the following formula:
the oil pressure drop starting point is the starting oil pressure +0.1 × △ P,
the oil pressure drop end point is-0.1 × △ P,
when the oil pressure decreases, △ P is negative, and at this time, the oil pressure decrease starting point is smaller than the starting oil pressure, and the oil pressure decrease ending point is larger than the ending oil pressure, so the oil pressure decrease section determined from the oil pressure decrease starting point and the oil pressure decrease ending point is located between the oil pressure sections determined from the starting oil pressure and the ending oil pressure.
And step S104, judging whether the oil level is abnormal or not according to the continuous oil pressure reduction time in the oil pressure reduction segment.
In particular, for monitoring the oil level abnormality in the static state, two indexes of the continuous oil pressure drop time and the oil level drop speed can be used for determining, and the index threshold value set in the static state is lower than the index threshold value set in the working state of the machine. Specifically, it is necessary to determine the oil pressure continuous drop time corresponding to the oil pressure drop segment according to the obtained oil pressure drop segment, optionally, sparsely sample the oil pressure data in the oil pressure drop segment at certain time intervals, for example, 30 seconds, calculate the oil pressure continuous drop time in the oil pressure drop segment according to the sampled data, compare the oil pressure continuous drop time with a preset time threshold, for example, 5 minutes, and if the oil pressure continuous drop time is greater than the preset time threshold, the oil level is considered to be abnormal, and if the oil level is not greater than the preset time threshold, the oil level is considered to be normal.
Through the process, the oil level of the machine in a static state can be effectively monitored, and whether abnormal conditions such as oil stealing and oil leakage occur or not is judged, so that related personnel can be timely notified to process when the oil level is abnormal, and loss is reduced.
As a preferred implementation of the embodiment of the present application, as shown in fig. 2, the determining the oil pressure drop section according to the oil pressure section data, the oil pressure variation amount, and the mechanical state includes steps S201 to S203 as follows:
step S201, calculating the initial drop oil pressure according to the oil pressure variation of the oil pressure segment and the initial oil pressure.
In specific implementation, the oil pressure drop starting point is calculated according to the oil pressure variation and the starting oil pressure of each oil pressure segment, and optionally, the oil pressure drop starting point is determined according to the following formula:
the oil pressure drop starting point is the starting oil pressure +0.1 × △ P.
And step S202, calculating the ending dropping oil pressure according to the oil pressure change amount of the oil pressure segment and the ending oil pressure.
In specific implementation, the oil pressure drop termination point is calculated according to the oil pressure variation and the termination oil pressure of each oil pressure segment, and optionally, is determined according to the following formula:
the oil pressure drop termination point is the initial oil pressure-0.1 × △ P.
Step S203 determines the oil pressure drop section from the start drop oil pressure and the end drop oil pressure.
In a specific implementation, after the oil pressure drop starting point and the oil pressure drop ending point are obtained, the oil pressure judgment section between the oil pressure drop starting point and the oil pressure drop ending point is the oil pressure drop section.
As a preferred implementation of the embodiment of the present application, as shown in fig. 3, the determining an oil pressure drop segment according to the oil pressure segment data, the oil pressure variation amount, and the mechanical state includes steps S301 to S303:
in step S301, an oil pressure having a minimum error from the initial drop oil pressure in the oil pressure segment data is searched for in a forward direction as an oil pressure drop starting point.
In specific implementation, optionally, after the oil pressure drop segment is obtained preliminarily, the oil pressure drop segment needs to be tracked back and forth in a forward and reverse search manner to determine a final oil pressure drop segment. Therefore, it is necessary to first perform a forward search using the initial drop oil pressure in the initially obtained oil pressure drop segment as an initial oil pressure reference point, and determine an oil pressure having the smallest error from the initial oil pressure reference point, where the oil pressure is located at the initial point of the final oil pressure drop segment.
Step S302, the oil pressure with the minimum oil pressure error of the ending drop in the oil pressure segment data is searched reversely to be used as an oil pressure drop ending point.
In the specific implementation, similarly, the end-of-descent oil pressure in the preliminarily obtained oil pressure descent segment is used as the end-of-oil-pressure reference point, a reverse search is performed, and the oil pressure with the smallest error from the end-of-oil-pressure reference point is determined, and the position of the oil pressure is the end point of the final oil pressure descent segment.
Step S303, determining the oil pressure drop section according to the oil pressure drop starting point and the oil pressure drop ending point.
In specific implementation, the final oil pressure drop section can be determined according to the obtained oil pressure drop starting point and the oil pressure drop ending point. And then determining the maximum time for which the oil pressure continuously drops by sparsely sampling the segment to judge whether the oil level is abnormal or not.
As a preferred implementation of the embodiment of the present application, as shown in fig. 4, the determining of the oil pressure variation amount of each oil pressure segment according to the oil pressure segment data includes the following steps S401 to S403:
step S401, a preset oil pressure change threshold value is determined according to the mechanical state.
In specific implementation, the oil level abnormality monitoring process of the machine in a static state is different from the judgment threshold of the machine in a working state (including a normal working state and an idle state). The setting of the oil pressure change threshold of the machine in different states can be flexibly adjusted by those skilled in the art according to actual conditions, and is not specifically limited herein.
Step S402, comparing the oil pressure variation of each oil pressure segment with the preset oil pressure variation threshold.
In specific implementation, before determining the oil pressure drop segment, firstly, the acquired oil pressure segments need to be preliminarily screened so as to exclude oil pressure data obviously not belonging to the abnormal oil pressure segment in the mechanical state, and the efficiency of monitoring the oil pressure abnormality is improved. Alternatively, first, an oil pressure change threshold value for a period of time in a stationary state of the machine is set, which can be set relatively small because the amount of oil consumed by the machine in the stationary state is small, and the amount of oil pressure change of each oil pressure segment is compared with the preset oil pressure change threshold value, respectively, to preliminarily determine an abnormal oil pressure segment.
In step S403, the oil pressure segment in which the oil pressure variation is greater than the preset oil pressure variation threshold is selected as the oil pressure drop segment according to the comparison result.
In specific implementation, if the oil pressure variation amount corresponding to the oil pressure segment is greater than a preset oil pressure variation threshold, which indicates that the oil level is reduced and exceeds the preset threshold in the time period, the segment is preliminarily taken as an oil pressure reduction segment for subsequent analysis and processing. If the oil pressure variation amount corresponding to the oil pressure segment is not larger than the preset oil pressure variation threshold, the oil level is stable in the time period, and the variation exceeds the threshold, the oil pressure segment is rejected, and subsequent analysis is not performed.
As a preferred implementation of the embodiment of the present application, as shown in fig. 5, the determining whether the oil level is abnormal according to the continuous oil pressure drop time in the oil pressure drop section includes steps S501 to S502 as follows:
and step S501, comparing the continuous oil pressure decreasing time with a preset time threshold.
In specific implementation, when determining whether the oil level of the machine in a static state is abnormal, the continuous oil level decreasing time may be selected as a determination index, and the continuous oil level decreasing time may be obtained by sparsely sampling oil pressure decreasing segments at preset time intervals, for example, 30 seconds. Alternatively, it is also necessary to set a threshold value of the continuous oil level decreasing time in advance, for example, the threshold value may be set to 5 minutes, and the specific time setting may be flexibly adjusted by a person skilled in the art according to actual situations, and is not specifically limited herein. And comparing the continuous oil pressure decreasing time with the preset time threshold value to judge whether the oil level is abnormal.
And step S502, if the continuous oil pressure reduction time is greater than the preset time threshold, determining that the oil level is abnormal.
In specific implementation, if the continuous oil pressure reduction time is greater than a preset time threshold, the abnormal conditions such as oil stealing or oil leakage are indicated. In addition, whether the oil level is abnormal or not can be further judged by combining the oil level descending slope index, an oil level descending slope threshold value is correspondingly preset, and when the oil level descending slope is larger than the preset oil level descending slope threshold value and the continuous descending time is also larger than the preset time threshold value, the oil level is considered to be abnormal.
As a preferred implementation manner of the embodiment of the present application, as shown in fig. 6, the oil pressure drop segment includes an oil pressure drop starting point and an oil pressure drop ending point, and if the oil pressure continuous drop time is greater than the preset time threshold, the following steps S601 to S603 are included after the oil level is determined to be abnormal:
step S601, performing sparse sampling on the oil pressure data before the time corresponding to the oil pressure drop starting point to obtain first oil pressure segment data.
In specific implementation, the oil pressure dropping segment obtained above may not be the final complete oil level abnormal segment, so in order to further accurately and comprehensively determine the oil level abnormal segment, it is necessary to perform sparse sampling on the oil pressure data before the time corresponding to the oil pressure dropping starting point at a certain time interval to obtain the starting oil pressure data to be expanded.
Step S602, performing sparse sampling on the oil pressure data after the time corresponding to the oil pressure drop termination point to obtain second oil pressure segment data.
In specific implementation, sparse sampling is carried out on oil pressure data after time corresponding to the oil pressure reduction termination point according to a certain time interval, so that termination oil pressure data to be expanded are obtained.
In step S603, the first oil pressure segment data and the second oil pressure segment data are respectively searched to determine an oil level abnormality start-stop point.
In specific implementation, the obtained initial oil pressure data to be expanded is subjected to reverse search until the oil pressure in the initial oil pressure data to be expanded is not increased any more, the position corresponding to the oil pressure data is an oil level abnormal starting point E, the obtained ending oil pressure data to be expanded is subjected to forward search until the oil pressure in the ending oil pressure data to be expanded is not reduced any more, the position corresponding to the oil pressure data is an oil level abnormal ending point F, and the oil level data between the oil level abnormal starting point E and the oil level abnormal ending point F forms a complete oil level abnormal segment.
From the above description, it can be seen that the present invention achieves the following technical effects: acquiring oil pressure monitoring data of a machine to acquire at least one oil pressure segment data, wherein the oil pressure segment data comprises a starting oil pressure and a terminating oil pressure of each oil pressure segment; determining the oil pressure variation of each oil pressure segment according to the oil pressure segment data; the mode of determining the oil pressure reduction segment according to the oil pressure segment data, the oil pressure variation and the mechanical state judges whether the oil level is abnormal or not according to the continuous oil pressure reduction time in the oil pressure reduction segment, so that the aim of effectively monitoring the oil level of the machine in a static state is fulfilled, and therefore the technical effects of timely informing relevant personnel of processing when the oil level is abnormal and preventing fuel oil from being stolen are achieved.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
According to an embodiment of the present invention, there is also provided an apparatus for implementing the above-described method for monitoring an oil level abnormality of a machine in a stationary state, as shown in fig. 7, the apparatus including: the device comprises an acquisition module 1, a first determination module 2, a second determination module 3 and a judgment module 4. The acquisition module 1 of the embodiment of the application is used for acquiring oil pressure monitoring data of machinery to acquire at least one oil pressure segment data, wherein the oil pressure segment data comprises the starting oil pressure and the ending oil pressure of each oil pressure segment; the first determining module 2 of the embodiment of the application is used for determining the oil pressure variation of each oil pressure segment according to the oil pressure segment data; the second determining module 3 of the embodiment of the application is used for determining the oil pressure reduction segment according to the oil pressure segment data, the oil pressure variation and the mechanical state; the judgment module 4 of the embodiment of the application is used for judging whether the oil level is abnormal or not according to the continuous oil pressure reduction time in the oil pressure reduction segment.
Further, the second determining module includes: a first calculation unit for calculating a start drop oil pressure from the oil pressure variation amount of the oil pressure segment and the start oil pressure; a second calculation unit for calculating a termination drop oil pressure from the oil pressure change amount of the oil pressure segment and the termination oil pressure; a first determination unit for determining the oil pressure drop section based on the start drop oil pressure and the end drop oil pressure.
As a preferred implementation manner of the embodiment of the present application, the second determining module includes: a first search unit for searching an oil pressure having a minimum error from the initial dropping oil pressure among the oil pressure segment data in a forward direction as an oil pressure dropping start point; a second search unit for searching in reverse an oil pressure of the oil pressure segment data having a minimum error from the end drop oil pressure as an oil pressure drop end point; a second determination unit for determining the oil pressure drop section based on the oil pressure drop starting point and the oil pressure drop ending point.
As a preferred implementation of the embodiment of the present application, the apparatus further includes: the third determining module is used for determining a preset oil pressure change threshold according to the mechanical state; the comparison module is used for comparing the oil pressure variation of each oil pressure segment with the preset oil pressure variation threshold value respectively; and the screening module is used for screening the oil pressure segment of which the oil pressure variation is greater than the preset oil pressure variation threshold value according to the comparison result to serve as the oil pressure reduction segment.
As a preferred implementation manner of the embodiment of the present application, the determining module includes: the comparison unit is used for comparing the continuous oil pressure reduction time with a preset time threshold; a third determination unit configured to determine that an abnormality occurs in the oil level if the oil pressure continuous drop time is greater than the preset time threshold.
As a preferred implementation manner of the embodiment of the present application, the determining module further includes: the first sampling unit is used for carrying out sparse sampling on the oil pressure data before the time corresponding to the oil pressure reduction starting point to obtain first oil pressure segment data; the second sampling unit is used for carrying out sparse sampling on the oil pressure data after the time corresponding to the oil pressure reduction termination point to obtain second oil pressure segment data; and the searching unit is used for respectively searching the first oil pressure segment data and the second oil pressure segment data to determine an oil level abnormal starting and stopping point.
For the specific connection relationship between the modules and the units and the functions performed, please refer to the detailed description of the method, which is not repeated herein.
According to an embodiment of the present invention, there is also provided a computer apparatus including: one or more processors; storage means for storing one or more programs; the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method as previously described.
There is also provided, in accordance with an embodiment of the present invention, a computer-readable storage medium having stored thereon computer instructions, which when executed by a processor, implement the steps of the method as previously described.
As shown in fig. 8, the electronic device includes one or more processors 31 and a memory 32, where one processor 31 is taken as an example in fig. 8.
The control unit may further include: an input device 33 and an output device 34.
The processor 31, the memory 32, the input device 33 and the output device 34 may be connected by a bus or other means, and fig. 8 illustrates the connection by a bus as an example.
The processor 31 may be a Central Processing Unit (CPU). The Processor 31 may also be other general purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, or combinations thereof. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 32, which is a non-transitory computer readable storage medium, may be used to store non-transitory software programs, non-transitory computer executable programs, and modules. The processor 31 executes various functional applications of the server and data processing by running non-transitory software programs, instructions and modules stored in the memory 32, namely, implements the oil level abnormality monitoring method of the above-described method embodiment.
The memory 32 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to use of a processing device operated by the server, and the like. Further, the memory 32 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 32 may optionally include memory located remotely from the processor 31, which may be connected to a network connection device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 33 may receive input numeric or character information and generate key signal inputs related to user settings and function control of the processing device of the server. The output device 34 may include a display device such as a display screen.
One or more modules are stored in the memory 32, which when executed by the one or more processors 31 perform the methods as previously described.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention 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. Computer instructions are used to cause the computer to perform the above-described oil level abnormality monitoring method.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. 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.
Finally, the principle and the implementation of the present invention are explained by applying the specific embodiments in the present invention, and the above description of the embodiments is only used to help understanding the method and the core idea of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (10)
1. An oil level abnormality monitoring method of a machine in a stationary state, comprising:
collecting oil pressure monitoring data of a machine to obtain at least one oil pressure segment data, wherein the oil pressure segment data comprises a starting oil pressure and a terminating oil pressure of each oil pressure segment;
determining the oil pressure variation of each oil pressure segment according to the oil pressure segment data;
determining an oil pressure drop segment according to the oil pressure segment data, the oil pressure variation and the mechanical state;
and judging whether the oil level is abnormal or not according to the continuous oil pressure reduction time in the oil pressure reduction segment.
2. The method of monitoring an abnormal oil level of a machine in a stationary state according to claim 1, wherein said determining an oil pressure drop segment from the oil pressure segment data, the amount of change in oil pressure, and a machine state comprises:
calculating an initial drop oil pressure according to the oil pressure variation of the oil pressure segment and the initial oil pressure;
calculating a terminal drop oil pressure from the oil pressure change amount of the oil pressure segment and the terminal oil pressure;
determining the oil pressure drop segment from the start drop oil pressure and the end drop oil pressure.
3. The method of monitoring an oil level abnormality of a machine in a stationary state according to claim 2, wherein said determining an oil pressure drop segment from the oil pressure segment data, the amount of change in oil pressure, and a machine state includes:
searching the oil pressure with the minimum error with the initial oil pressure drop in the oil pressure segment data in a positive direction to serve as an oil pressure drop initial point;
reversely searching the oil pressure with the minimum error with the oil pressure drop termination in the oil pressure segment data to be used as an oil pressure drop termination point;
and determining the oil pressure drop segment according to the oil pressure drop starting point and the oil pressure drop ending point.
4. The method of monitoring an abnormal oil level of a machine in a stationary state according to claim 1, wherein said determining an amount of change in oil pressure for each of said oil pressure segments based on said oil pressure segment data comprises:
determining a preset oil pressure change threshold according to the mechanical state;
comparing the oil pressure variation of each oil pressure segment with the preset oil pressure variation threshold value respectively;
and screening the oil pressure segment with the oil pressure variation larger than the preset oil pressure variation threshold value according to the comparison result to serve as the oil pressure reduction segment.
5. The method for monitoring an abnormal oil level in a stationary state of a machine according to claim 1, wherein said determining whether the oil level is abnormal or not based on the time for which the oil pressure in said oil pressure dropping section continuously drops comprises:
comparing the continuous oil pressure reduction time with a preset time threshold;
and if the continuous oil pressure reduction time is greater than the preset time threshold, determining that the oil level is abnormal.
6. The method for monitoring the abnormal oil level in the static state of the machine according to claim 5, wherein said oil pressure drop section includes an oil pressure drop starting point and an oil pressure drop ending point, and said determining that the oil level is abnormal if said oil pressure continuous drop time is greater than said preset time threshold value comprises:
sparse sampling is carried out on the oil pressure data before the time corresponding to the oil pressure reduction starting point, so that first oil pressure fragment data are obtained;
sparse sampling is carried out on the oil pressure data after the time corresponding to the oil pressure reduction termination point, so that second oil pressure segment data are obtained;
the first oil pressure segment data and the second oil pressure segment data are respectively searched to determine an oil level abnormality start and stop point.
7. An oil level abnormality monitoring device of a machine in a stationary state, comprising:
the oil pressure monitoring module is used for acquiring oil pressure monitoring data of machinery to acquire at least one oil pressure segment data, and the oil pressure segment data comprises a starting oil pressure and a stopping oil pressure of each oil pressure segment;
the first determining module is used for determining the oil pressure change amount of each oil pressure segment according to the oil pressure segment data;
the second determining module is used for determining an oil pressure reduction segment according to the oil pressure segment data, the oil pressure variation and the mechanical state;
and the judging module is used for judging whether the oil level is abnormal or not according to the continuous oil pressure reduction time in the oil pressure reduction segment.
8. The apparatus for monitoring abnormal oil level of machine in static state according to claim 7, wherein said second determination module comprises:
a first calculation unit for calculating a start drop oil pressure from the oil pressure variation amount of the oil pressure segment and the start oil pressure;
a second calculation unit for calculating a termination drop oil pressure from the oil pressure change amount of the oil pressure segment and the termination oil pressure;
a first determination unit for determining the oil pressure drop section based on the start drop oil pressure and the end drop oil pressure.
9. An electronic device, comprising:
one or more processors;
storage means for storing one or more programs;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of any of claims 1-6.
10. A non-transitory readable storage medium having stored thereon computer instructions which, when executed by a processor, implement the steps of the method of any one of claims 1 to 6.
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