CN111307246B - Method and device for monitoring abnormal oil level of machine in working state - Google Patents
Method and device for monitoring abnormal oil level of machine in working state Download PDFInfo
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- CN111307246B CN111307246B CN202010045808.7A CN202010045808A CN111307246B CN 111307246 B CN111307246 B CN 111307246B CN 202010045808 A CN202010045808 A CN 202010045808A CN 111307246 B CN111307246 B CN 111307246B
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- G—PHYSICS
- 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
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- G—PHYSICS
- 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
- G01F23/18—Indicating, recording or alarm devices actuated electrically
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Abstract
The application discloses an oil level abnormity monitoring method and device of a machine in a working state, electronic equipment and a readable storage medium. The method comprises the following steps: collecting first oil pressure monitoring data of a machine to obtain at least one oil pressure segment according to the first oil pressure monitoring data; comparing an oil pressure difference between any adjacent oil pressure data in the plurality of oil pressure data with a preset oil pressure difference threshold value to obtain an abnormal oil pressure segment; and determining second oil pressure monitoring data according to the abnormal oil pressure segment so as to obtain an oil level abnormal monitoring result according to the second oil pressure monitoring data. The technical problem that related personnel cannot timely process oil level due to lack of effective monitoring of the oil level in the mechanical working state in the related art is solved. Through the method and the device, the purpose of effectively monitoring the oil level of the machine in the working state is achieved, and therefore the technical effect of timely informing relevant personnel to process when the oil level is abnormal is achieved.
Description
Technical Field
The application relates to the field of engineering machinery oil level monitoring, in particular to an oil level abnormity monitoring method and device of machinery in a working 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 price of fuel oil in the current market is higher, the phenomenon of oil stealing of individual personnel in the mechanical working state due to the private favor of a greedy drawing sometimes happens, particularly in the current engineering field, the phenomenon of oil stealing is more frequent, and the fuel oil stealing phenomenon causes not little loss to a vehicle owner or an operation company where the vehicle is located. The slow oil stealing usually occurs when the machine is at rest and idling, in the idling state, the vibration amplitude of the machine is much smaller than that of the normal working condition, the oil consumption is much slower than that of the normal working condition, the oil stealing in the idling state can cause the oil level of the machine to continuously descend, the oil level of the normal working machine continuously vibrates, the whole machine presents a descending trend, and the descending speed of the oil level caused by the oil stealing is higher than that of the normal working condition.
The management and control of the behavior of oil stealing in the related art is mainly to strengthen physical measures to prevent burglary 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 oil level under the mechanical working state due to lack of effective monitoring on the oil level in the related technology, an effective solution is not provided at present.
Disclosure of Invention
The application mainly aims to provide an oil level abnormity monitoring method and device of a machine in a working state, an electronic device and a readable storage medium, so as to solve the problem that related personnel cannot timely process the oil level abnormity due to lack of effective monitoring on the oil level of the machine in the working state 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 in an operating state of a machine.
The oil level abnormality monitoring method of the machine in the working state comprises the following steps: collecting first oil pressure monitoring data of a machine to obtain at least one oil pressure segment according to the first oil pressure monitoring data, wherein the oil pressure segment refers to a plurality of oil pressure data collected in different time periods; comparing an oil pressure difference between any adjacent oil pressure data in the plurality of oil pressure data with a preset oil pressure difference threshold value to obtain an abnormal oil pressure segment; and determining second oil pressure monitoring data according to the abnormal oil pressure segment so as to obtain an oil level abnormal monitoring result according to the second oil pressure monitoring data.
Further, the comparing the oil pressure difference between any adjacent oil pressure data in the plurality of oil pressure data with a preset oil pressure difference threshold value to obtain an abnormal oil pressure segment includes: determining the normal oil pressure consumption speed according to the mechanical state; and determining the preset oil pressure difference threshold according to the normal oil pressure consumption speed.
Further, the adjacent oil pressure data includes a first time period oil pressure data and a second time period oil pressure data, and the comparing the oil pressure difference between any adjacent oil pressure data in the plurality of oil pressure data with a preset oil pressure difference threshold value to obtain an abnormal oil pressure section further includes: calculating a time interval between the first and second period oil pressure data; determining the preset oil pressure difference threshold according to the time interval and the normal oil pressure consumption speed; comparing the oil pressure difference between the first time period oil pressure data and the second time period oil pressure data with the preset oil pressure difference threshold value to obtain the abnormal oil pressure segment.
Further, the abnormal oil pressure section includes a plurality of unit abnormal oil pressure sections, and the comparing an oil pressure difference between any adjacent oil pressure data of the plurality of oil pressure data with a preset oil pressure difference threshold value to obtain the abnormal oil pressure section further includes: determining an abnormal time segment corresponding to each unit abnormal oil pressure segment; and splicing a plurality of unit abnormal oil pressure segments according to the abnormal time segments to obtain the abnormal oil pressure segments.
Further, the determining second oil pressure monitoring data according to the abnormal oil pressure section to obtain an oil level abnormality monitoring result according to the second oil pressure monitoring data includes: determining the continuous oil pressure decreasing time and the oil pressure decreasing slope according to the abnormal oil pressure segment; comparing the continuous oil pressure reduction time with a preset oil pressure reduction time to obtain a first comparison result; comparing the oil pressure falling slope with a preset oil pressure falling slope to obtain a second comparison result; and judging whether the oil level is abnormal or not according to the first comparison result and the second comparison result.
Further, the determining second oil pressure monitoring data according to the abnormal oil pressure section to obtain an oil level abnormality monitoring result according to the second oil pressure monitoring data includes: and if the oil level is judged to be abnormal, performing forward search and reverse search on the oil pressure segment according to the second oil pressure monitoring data to determine an abnormal time segment.
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 an operating state.
The oil level abnormality monitoring device of a machine in an operating state according to the present application includes: the system comprises a collecting module, a judging module and a judging module, wherein the collecting module is used for collecting first oil pressure monitoring data of machinery so as to obtain at least one oil pressure segment according to the first oil pressure monitoring data, and the oil pressure segment refers to a plurality of oil pressure data collected in different time periods; the comparison module is used for comparing the oil pressure difference between any adjacent oil pressure data in the plurality of oil pressure data with a preset oil pressure difference threshold value to obtain an abnormal oil pressure segment; and the determining module is used for determining second oil pressure monitoring data according to the abnormal oil pressure segment so as to obtain an oil level abnormal monitoring result according to the second oil pressure monitoring data.
Further, the comparison module comprises: a first determination unit for determining a normal oil pressure consumption speed based on a mechanical state; and the second determining unit is used for determining the preset oil pressure difference threshold according to the normal oil pressure consumption speed.
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, first oil pressure monitoring data of a machine is collected, so that at least one oil pressure segment is obtained according to the first oil pressure monitoring data, wherein the oil pressure segment refers to a plurality of oil pressure data collected in different time periods; the method comprises the steps of comparing the oil pressure difference between any adjacent oil pressure data in the plurality of oil pressure data with a preset oil pressure difference threshold value to obtain an abnormal oil pressure segment, determining second oil pressure monitoring data according to the abnormal oil pressure segment to obtain an abnormal oil level monitoring result according to the second oil pressure monitoring data, and achieving the purpose of effectively monitoring the oil level of machinery in a working state, so that the technical effect of timely informing relevant personnel of processing when the oil level is abnormal is achieved, and the technical problem that the relevant personnel cannot timely process due to lack of effective monitoring on the oil level in the working state of the machinery 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 an operating condition 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 of a machine in an operating condition 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 an operating condition 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 an operating condition 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 an operating condition of a machine according to a fifth embodiment of the present disclosure;
FIG. 6 is a schematic diagram of the component structure of an oil level abnormality monitoring device of a machine in an operating state according to an embodiment of the present disclosure; and
fig. 7 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 an operating state, as shown in fig. 1, the method including steps S101 to S103 as follows:
step S101, collecting first oil pressure monitoring data of a machine to obtain at least one oil pressure segment according to the first oil pressure monitoring data, wherein the oil pressure segment refers to a plurality of oil pressure data collected in different time periods.
During specific implementation, the mechanical working state in the embodiment of the application includes a normal working state and an idling state, in the normal working state, the oil level liquid surface of the machine vibrates continuously, the whole machine shows a descending trend, in the idling state, the vibration amplitude of the machine is much smaller than that in the normal working state, and the oil consumption is much slower than that in the normal working state. In the static state, the height of the oil level should be kept constant, and if the oil pressure value is obviously reduced in a static time, the abnormal phenomenon of the oil level can be basically judged. Therefore, the oil level abnormality monitoring process of the machine in the working state is different from the oil level abnormality determination standard of the machine in the static state, and the oil level abnormality monitoring method and the oil level abnormality monitoring device in the embodiment of the application mainly monitor the oil level abnormality of the machine in the working state including the normal working state and the idling state. The specific operating state of the machine may be monitored by acceleration sensors, such as three-axis sensors, etc. Optionally, the oil level in the oil tank of the mechanical equipment is measured and collected by 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.
Step S102, comparing an oil pressure difference between any adjacent oil pressure data in the plurality of oil pressure data with a preset oil pressure difference threshold value to obtain an abnormal oil pressure segment.
In specific implementation, each oil pressure segment is sparsely sampled according to a preset time interval, such as 5 minutes, then n pieces of the oil pressure data B { B1, B2, … …, Bn } corresponding to the oil pressure segment are obtained, the oil pressure difference DeltaP between every two adjacent oil pressure data B is calculated, because the corresponding oil pressure difference threshold values are different under different mechanical states, the current state of the machine needs to be further determined while obtaining the oil pressure differences of a plurality of oil pressure data, so as to determine a corresponding preset oil pressure difference threshold value according to the mechanical state, then compare the oil pressure difference Delta P with the preset oil pressure difference threshold value, if the oil pressure difference Δ P is greater than the preset oil pressure difference threshold, the oil pressure segment in which the two oil pressure data corresponding to the oil pressure difference are located is the abnormal oil pressure segment C, and if the oil pressure difference is not greater than the preset oil pressure difference threshold value, the oil pressure segment where the two oil pressure data corresponding to the oil pressure difference are located is the normal oil pressure segment.
Alternatively, different oil pressure difference thresholds may be set for two specific operating states of the mechanical device, including a normal operating state and an idle state, respectively. For example, in a normal operating state, the threshold of the oil pressure difference may be set larger than that in an idle state, and because the oil level may fluctuate greatly (for example, when the vehicle runs up and down a slope) in the normal operating state, determining whether the oil level is abnormal in the normal operating state may first ensure that the oil level is relatively stable, and then monitoring is performed, and only when the oil pressure difference is greater than the maximum preset threshold of the oil pressure difference, it may be determined that the oil level is abnormal, for example, the oil tank is damaged and a large amount of oil leaks.
Step S103, determining second oil pressure monitoring data according to the abnormal oil pressure segment, and obtaining an oil level abnormal monitoring result according to the second oil pressure monitoring data.
In specific implementation, specific oil pressure data corresponding to the abnormal oil pressure segment is determined according to the obtained abnormal oil pressure segment C, the second oil pressure monitoring data including the longest time for the oil pressure to continuously decrease and the slope of the oil pressure to decrease is calculated according to the oil pressure data of the abnormal oil pressure segment, and the second oil pressure monitoring data is compared with a preset monitoring threshold value to obtain a final oil level abnormal monitoring result. Through the process, the oil level of the machine in a normal working state and an idling state can be effectively monitored, and whether oil stealing, oil leakage and the like happen is judged, so that related personnel can be timely notified to process when the oil level is abnormal.
As a preferred implementation of the embodiment of the present application, as shown in fig. 2, the step of comparing the oil pressure difference between any adjacent oil pressure data in the plurality of oil pressure data with a preset oil pressure difference threshold value to obtain an abnormal oil pressure segment includes the following steps S201 to S202:
in step S201, the normal oil pressure consumption speed is determined according to the mechanical state.
In specific implementation, because the oil level variation amplitudes of the machine in different states are different and the oil consumption speeds are also different, the current state of the machine needs to be determined, and then the corresponding normal oil pressure consumption speed is determined according to the state of the machine, and the normal oil pressure consumption speed can be specifically determined in the following manner: in different states of the machine, oil pressure data of the mechanical equipment in a period of time (t2-t1) are collected respectively, and the normal oil pressure consumption speed V is calculated, alternatively, the normal oil pressure consumption speed V can be calculated by collecting different oil pressure data in a plurality of sub-divided time periods, and averaging the oil pressure consumption speeds after the oil pressure consumption speeds are calculated respectively, and the average value is taken as the normal oil pressure consumption speed of the machine in the different states.
And step S202, determining the preset oil pressure difference threshold according to the normal oil pressure consumption speed.
In specific implementation, after the normal oil pressure consumption speed V is obtained, the preset oil pressure difference threshold value can be determined by the following formula: (1+ α) V Δ t, where α is a constant, and a value of α can be flexibly adjusted according to actual conditions, and Δ t is a time interval between two adjacent oil pressure data.
As a preferred implementation of the embodiment of the present application, as shown in fig. 3, the adjacent oil pressure data includes a first time period oil pressure data and a second time period oil pressure data, and the comparing the oil pressure difference between any adjacent oil pressure data in the plurality of oil pressure data with a preset oil pressure difference threshold value to obtain the abnormal oil pressure segment further includes steps S301 to S303 of:
step S301, calculating a time interval between the first period oil pressure data and the second period oil pressure data.
In specific implementation, the adjacent oil pressure data in the embodiment of the present application includes oil pressure data corresponding to a first time and oil pressure data corresponding to a second time, and when the preset oil pressure difference threshold is determined, a time interval Δ t between the adjacent oil pressure data needs to be calculated through a time node corresponding to two adjacent oil pressure data.
Step S302, determining the preset oil pressure difference threshold according to the time interval and the normal oil pressure consumption speed.
In specific implementation, after obtaining a time interval Δ t between any two adjacent oil pressure data, it is necessary to further obtain a normal oil pressure consumption speed V of the mechanical device in a working state, and determine a preset oil pressure difference threshold value by using the following formula: (1+ α) × V × Δ t, where α is a constant, and a value of α can be flexibly adjusted according to an actual situation, that is, a preset oil pressure difference threshold is not fixed and may be adjusted according to the actual situation.
Step S303, comparing an oil pressure difference between the first time period oil pressure data and the second time period oil pressure data with the preset oil pressure difference threshold value, so as to obtain the abnormal oil pressure segment.
In specific implementation, after the preset oil pressure difference threshold is calculated according to the formula, the oil pressure difference between any two adjacent oil pressure data is compared with the preset oil pressure difference threshold, and if the oil pressure difference is greater than the preset oil pressure difference threshold, the oil pressure segment corresponding to the two oil pressure data is determined to be an abnormal oil pressure segment.
As a preferred embodiment of the present application, as shown in fig. 4, the abnormal oil pressure section includes a plurality of unit abnormal oil pressure sections, and the step of comparing the oil pressure difference between any adjacent oil pressure data in the plurality of oil pressure data with a preset oil pressure difference threshold value to obtain the abnormal oil pressure section further includes the following steps S401 to S402:
in step S401, an abnormal time segment corresponding to each unit abnormal oil pressure segment is determined.
In specific implementation, the abnormal oil pressure segment according to the embodiment of the present application may include a plurality of unit abnormal oil pressure segments, and when the oil pressure difference calculated by any two adjacent oil pressure data is greater than the preset oil pressure difference threshold, the oil pressure segment where the two adjacent oil pressure data are located is the unit abnormal oil pressure segment, and the unit abnormal oil pressure segments are obtained by comparing the oil pressure difference between any two adjacent oil pressure data with the preset oil pressure difference threshold.
Step S402, a plurality of unit abnormal oil pressure segments are spliced according to the abnormal time segments to obtain the abnormal oil pressure segments.
In specific implementation, the obtained multiple unit abnormal oil pressure segments are spliced according to time continuity to form a final complete abnormal oil pressure segment.
As a preferred implementation of the embodiment of the present application, as shown in fig. 5, the determining the second oil pressure monitoring data according to the abnormal oil pressure section to obtain the oil level abnormality monitoring result according to the second oil pressure monitoring data includes steps S501 to S504 as follows:
and step S501, determining the continuous oil pressure decreasing time and the oil pressure decreasing slope according to the abnormal oil pressure segment.
In specific implementation, after the abnormal oil pressure segment is obtained, it is necessary to further calculate the second oil pressure monitoring data including the maximum time for the oil pressure to continuously decrease and the oil pressure decrease slope according to the abnormal oil pressure segment.
Step S502, comparing the oil pressure continuous decreasing time with a preset oil pressure decreasing time to obtain a first comparison result.
In specific implementation, the calculated oil pressure continuous falling time is compared with a preset oil pressure falling time threshold value to judge whether the oil pressure continuous falling time is abnormal, and if the oil pressure continuous falling time is larger than the preset threshold value, the oil pressure continuous falling time is abnormal.
Step S503, comparing the oil pressure decrease slope with a preset oil pressure decrease slope to obtain a second comparison result.
In specific implementation, the calculated oil pressure reduction slope is compared with a preset oil pressure reduction slope threshold value to judge whether the oil pressure reduction slope is abnormal, and if the oil pressure reduction slope is larger than the preset threshold value, the oil pressure reduction slope is abnormal.
And step S504, judging whether the oil level is abnormal or not according to the first comparison result and the second comparison result.
During specific implementation, if the oil pressure continuous decreasing time and the oil pressure decreasing slope are both greater than corresponding preset thresholds, it is indicated that the oil pressure decreases abnormally, the situation of oil stealing or oil leakage can be determined, if the oil pressure continuous decreasing time and the oil pressure decreasing slope are not both greater than the corresponding preset thresholds, it is indicated that the oil pressure decreases normally, and if only any one of the oil pressure continuous decreasing time and the oil pressure decreasing slope is greater than the corresponding preset threshold, further tracking monitoring is required to confirm whether the abnormality occurs.
As a preferable implementation of the embodiment of the present application, the determining second oil pressure monitoring data according to the abnormal oil pressure section to obtain the oil level abnormality monitoring result according to the second oil pressure monitoring data includes:
and if the oil level is judged to be abnormal, performing forward search and reverse search on the oil pressure segment according to the second oil pressure monitoring data to determine an abnormal time segment.
In specific implementation, if the oil level is determined to be abnormal, the abnormal oil pressure segment is expanded back and forth according to the abnormal oil pressure data until the abnormal oil pressure segment is expanded to a segment where the oil pressure data is stable, and the time segment corresponding to the whole process of the oil pressure abnormality can be determined according to the segment.
From the above description, it can be seen that the present invention achieves the following technical effects: acquiring first oil pressure monitoring data of a machine to obtain at least one oil pressure segment according to the first oil pressure monitoring data, wherein the oil pressure segment refers to a plurality of oil pressure data acquired in different time periods; the oil pressure difference between any adjacent oil pressure data in the plurality of oil pressure data is compared with a preset oil pressure difference threshold value to obtain an abnormal oil pressure segment, second oil pressure monitoring data is determined according to the abnormal oil pressure segment to obtain an oil level abnormal monitoring result according to the second oil pressure monitoring data, and the purpose of effectively monitoring the oil level of machinery in a working state is achieved, so that related personnel are timely notified to process when the oil level is abnormal, and the technical effect of fuel oil theft prevention is 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 an operating state, as shown in fig. 6, the apparatus including: the device comprises an acquisition module 1, a comparison module 2 and a determination module 3. The collection module 1 of the embodiment of the application is used for collecting mechanical first oil pressure monitoring data, so that at least one oil pressure segment is obtained according to the first oil pressure monitoring data, and the oil pressure segments refer to a plurality of oil pressure data collected in different time periods. The comparison module 2 of the embodiment of the application is used for comparing the oil pressure difference between any adjacent oil pressure data in the plurality of oil pressure data with a preset oil pressure difference threshold value to obtain an abnormal oil pressure segment. The determining module 3 of the embodiment of the application is used for determining second oil pressure monitoring data according to the abnormal oil pressure segment so as to obtain an oil level abnormality monitoring result according to the second oil pressure monitoring data.
As a preferred implementation manner of the embodiment of the present application, the comparing module includes: a first determination unit for determining a normal oil pressure consumption speed based on a mechanical state; and the second determining unit is used for determining the preset oil pressure difference threshold according to the normal oil pressure consumption speed.
As a preferable implementation manner of the embodiment of the present application, the adjacent oil pressure data includes first period oil pressure data and second period oil pressure data, and the comparing module further includes: a calculation unit for calculating a time interval between the first period oil pressure data and the second period oil pressure data; the second determining unit is used for determining the preset oil pressure difference threshold according to the time interval and the normal oil pressure consumption speed; and the first comparison unit is used for comparing the oil pressure difference between the first time period oil pressure data and the second time period oil pressure data with the preset oil pressure difference threshold value so as to obtain the abnormal oil pressure segment.
As a preferred implementation manner of the embodiment of the present application, the abnormal oil pressure section includes a plurality of unit abnormal oil pressure sections, and the comparison module further includes: a third determination unit, configured to determine an abnormal time slice corresponding to each unit abnormal oil pressure slice; and the splicing unit is used for splicing the unit abnormal oil pressure segments according to the abnormal time segments to obtain the abnormal oil pressure segments.
As a preferred implementation manner of the embodiment of the present application, the determining module includes: a fourth determination unit for determining a continuous oil pressure drop time and an oil pressure drop slope from the abnormal oil pressure section; the second comparison unit is used for comparing the oil pressure continuous falling time with a preset oil pressure falling time to obtain a first comparison result; the third comparison unit is used for comparing the oil pressure reduction slope with a preset oil pressure reduction slope to obtain a second comparison result; and the judging unit is used for judging whether the oil level is abnormal or not according to the first comparison result and the second comparison result.
As a preferred implementation manner of the embodiment of the present application, the determining module further includes: and the searching unit is used for carrying out forward search and reverse search on the oil pressure segment according to the second oil pressure monitoring data to determine an abnormal time segment if the oil level is judged to be abnormal.
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. 7, the electronic device includes one or more processors 31 and a memory 32, and one processor 31 is taken as an example in fig. 7.
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. 7 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 (4)
1. An oil level abnormality monitoring method of a machine in an operating state, comprising:
collecting first oil pressure monitoring data of a machine to obtain at least one oil pressure segment according to the first oil pressure monitoring data, wherein the oil pressure segment refers to a plurality of oil pressure data collected in different time periods;
comparing an oil pressure difference between any adjacent oil pressure data in the plurality of oil pressure data with a preset oil pressure difference threshold value to obtain an abnormal oil pressure segment;
determining second oil pressure monitoring data according to the abnormal oil pressure segment so as to obtain an oil level abnormal monitoring result according to the second oil pressure monitoring data;
the comparing an oil pressure difference between any adjacent oil pressure data in the plurality of oil pressure data with a preset oil pressure difference threshold value to obtain an abnormal oil pressure segment includes:
determining the normal oil pressure consumption speed according to the mechanical state;
determining the preset oil pressure difference threshold according to the normal oil pressure consumption speed;
wherein, two kinds of operating condition of machinery include: a normal working state and an idling state;
the oil pressure difference threshold includes: a normal working state oil pressure difference threshold value and an idling state oil pressure difference threshold value;
the oil pressure difference threshold value in the normal working state is larger than that in the normal working state;
the adjacent oil pressure data include first time slot oil pressure data and second time slot oil pressure data, the comparing of the oil pressure difference between the oil pressure data which are arbitrarily adjacent in the plurality of oil pressure data with a preset oil pressure difference threshold value to obtain an abnormal oil pressure section further includes:
calculating a time interval between the first and second period oil pressure data;
determining the preset oil pressure difference threshold according to the time interval and the normal oil pressure consumption speed;
comparing the oil pressure difference between the first time period oil pressure data and the second time period oil pressure data with the preset oil pressure difference threshold value to obtain the abnormal oil pressure segment;
the abnormal oil pressure section includes a plurality of unit abnormal oil pressure sections, and the comparing an oil pressure difference between any adjacent oil pressure data in the plurality of oil pressure data with a preset oil pressure difference threshold value to obtain the abnormal oil pressure section further includes:
determining an abnormal time segment corresponding to each unit abnormal oil pressure segment;
splicing a plurality of unit abnormal oil pressure segments according to the abnormal time segments to obtain the abnormal oil pressure segments;
the determining second oil pressure monitoring data according to the abnormal oil pressure segment to obtain an oil level abnormality monitoring result according to the second oil pressure monitoring data includes:
determining the continuous oil pressure decreasing time and the oil pressure decreasing slope according to the abnormal oil pressure segment;
comparing the continuous oil pressure reduction time with a preset oil pressure reduction time to obtain a first comparison result;
comparing the oil pressure falling slope with a preset oil pressure falling slope to obtain a second comparison result;
judging whether the oil level is abnormal or not according to the first comparison result and the second comparison result;
and if the oil level is judged to be abnormal, performing forward search and reverse search on the oil pressure segment according to the second oil pressure monitoring data to determine an abnormal time segment.
2. An oil level abnormality monitoring device of a machine in an operating state,
the system comprises a collecting module, a judging module and a judging module, wherein the collecting module is used for collecting first oil pressure monitoring data of machinery so as to obtain at least one oil pressure segment according to the first oil pressure monitoring data, and the oil pressure segment refers to a plurality of oil pressure data collected in different time periods;
the comparison module is used for comparing the oil pressure difference between any adjacent oil pressure data in the plurality of oil pressure data with a preset oil pressure difference threshold value to obtain an abnormal oil pressure segment;
the determining module is used for determining second oil pressure monitoring data according to the abnormal oil pressure segment so as to obtain an oil level abnormal monitoring result according to the second oil pressure monitoring data;
the comparison module comprises:
a first determination unit for determining a normal oil pressure consumption speed based on a mechanical state;
the second determining unit is used for determining the preset oil pressure difference threshold according to the normal oil pressure consumption speed;
wherein, two kinds of operating condition of machinery include: a normal working state and an idling state;
the oil pressure difference threshold includes: a normal working state oil pressure difference threshold value and an idling state oil pressure difference threshold value;
the oil pressure difference threshold value in the normal working state is larger than that in the normal working state;
the adjacent oil pressure data comprises first time period oil pressure data and second time period oil pressure data, and the comparison module is further used for calculating a time interval between the first time period oil pressure data and the second time period oil pressure data;
determining the preset oil pressure difference threshold according to the time interval and the normal oil pressure consumption speed;
comparing the oil pressure difference between the first time period oil pressure data and the second time period oil pressure data with the preset oil pressure difference threshold value to obtain the abnormal oil pressure segment;
the abnormal oil pressure section includes a plurality of unit abnormal oil pressure sections,
the comparing the oil pressure difference between any adjacent oil pressure data in the plurality of oil pressure data with a preset oil pressure difference threshold value to obtain an abnormal oil pressure segment further comprises:
determining an abnormal time segment corresponding to each unit abnormal oil pressure segment;
splicing a plurality of unit abnormal oil pressure segments according to the abnormal time segments to obtain the abnormal oil pressure segments;
the determining second oil pressure monitoring data according to the abnormal oil pressure segment to obtain an oil level abnormality monitoring result according to the second oil pressure monitoring data includes:
determining the continuous oil pressure decreasing time and the oil pressure decreasing slope according to the abnormal oil pressure segment;
comparing the continuous oil pressure reduction time with a preset oil pressure reduction time to obtain a first comparison result;
comparing the oil pressure falling slope with a preset oil pressure falling slope to obtain a second comparison result;
judging whether the oil level is abnormal or not according to the first comparison result and the second comparison result;
and if the oil level is judged to be abnormal, performing forward search and reverse search on the oil pressure segment according to the second oil pressure monitoring data to determine an abnormal time segment.
3. 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 claim 1.
4. A non-transitory readable storage medium having stored thereon computer instructions which, when executed by a processor, perform the steps of the method of claim 1.
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| CN202010045808.7A CN111307246B (en) | 2020-01-15 | 2020-01-15 | Method and device for monitoring abnormal oil level of machine in working state |
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| JPS59148822A (en) * | 1983-02-15 | 1984-08-25 | Sumitomo Electric Ind Ltd | Level gauge of pressurized oil reservoir for of cable |
| CN101246028A (en) * | 2008-03-28 | 2008-08-20 | 周振峰 | Fuel tank oil material anti-theft monitoring system |
| CN201765019U (en) * | 2010-09-02 | 2011-03-16 | 三一重工股份有限公司 | Construction vehicles and monitoring device thereof for fuel oil burglary-proof and leakage-proof |
| CN102853871B (en) * | 2011-06-30 | 2015-07-22 | 艾默生网络能源有限公司 | Oil level monitoring method and system |
| CN102564524A (en) * | 2012-02-14 | 2012-07-11 | 华为技术有限公司 | Method for monitoring variation of liquid, equipment and fuel oil storage system |
| US10221735B2 (en) * | 2015-11-30 | 2019-03-05 | United Technologies Corporation | Method of real-time oil consumption detection |
| CN109866712A (en) * | 2019-03-05 | 2019-06-11 | 艾礼富电子(深圳)有限公司 | Automobile wireless level monitoring system |
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