CN111289058A - Oil level abnormity monitoring method and device based on mechanical state - Google Patents

Oil level abnormity monitoring method and device based on mechanical state Download PDF

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CN111289058A
CN111289058A CN202010045807.2A CN202010045807A CN111289058A CN 111289058 A CN111289058 A CN 111289058A CN 202010045807 A CN202010045807 A CN 202010045807A CN 111289058 A CN111289058 A CN 111289058A
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oil level
mechanical
time domain
variance
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CN111289058B (en
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吴涛
朱春明
孟斌
仝宏宇
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Nanjing Zhihe Electronic Technology Co ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01FMEASURING VOLUME, VOLUME FLOW, MASS FLOW OR LIQUID LEVEL; METERING BY VOLUME
    • G01F23/00Indicating or measuring liquid level or level of fluent solid material, e.g. indicating in terms of volume or indicating by means of an alarm
    • G01F23/14Indicating 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
    • G01F23/18Indicating, recording or alarm devices actuated electrically
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01PMEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
    • G01P15/00Measuring acceleration; Measuring deceleration; Measuring shock, i.e. sudden change of acceleration

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Abstract

The application discloses an oil level abnormity monitoring method and device based on a mechanical state. The method comprises the following steps: respectively acquiring mechanical acceleration time domain signals and oil pressure data through a plurality of sensors, and determining at least one time domain signal segment according to the acceleration time domain signals; performing vibration variance processing on the time domain signal segments, and comparing a variance value corresponding to each time domain signal segment with a preset state variance threshold value respectively to determine a mechanical state according to a comparison result; and sending an oil level abnormal state monitoring instruction to an oil level abnormal state monitoring end according to the mechanical state so as to determine whether the oil level is abnormal or not according to the mechanical state and the oil pressure data. Through the method and the device, the purpose of combining the collected distributed data to detect the abnormal condition of the oil level is achieved, the linkage effect of a plurality of devices is realized, and the abnormal condition of the oil level can be avoided being reported by mistake or being missed.

Description

Oil level abnormity monitoring method and device based on mechanical state
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 based on a mechanical 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 for privately discharging oil from the oil tank due to greediness sometimes happens, and particularly the phenomenon of oil stealing is more frequent in the current engineering field.
The inventors have found that the oil level abnormality monitoring method in the related art has at least the following problems: 1) the oil level abnormality detection method is generally used for detecting the abnormal fluctuation of the oil level of a stationary fixed container, and is not accurate in detecting the abnormal fluctuation of the oil level of a movable vehicle and other machines, because the oil in the container can fluctuate violently when the vehicle and other machines move, and false alarm are easily caused. 2) The real-time effect is poor, and sometimes more data need to be sampled to judge that the oil level is abnormal, so that the monitoring delay is caused. 3) Generally, only the data of the oil quantity is collected, only the monotonous rapid reduction of the oil level is detected, and the accuracy of the detection result is not high.
Aiming at the problem that the abnormal oil level monitoring in the related art is easy to report by mistake or report by mistake due to the single monitoring device, an effective solution is not provided at present.
Disclosure of Invention
The present application mainly aims to provide a method and an apparatus for monitoring abnormal oil level based on mechanical state, an electronic device, and a readable storage medium, so as to solve the problem in the related art that the abnormal oil level monitoring is easy to report by mistake or fail to report the abnormal oil level due to a single monitoring apparatus.
In order to achieve the above object, according to a first aspect of the present application, there is provided a method for monitoring an oil level abnormality based on a mechanical state.
The oil level abnormality monitoring method based on the mechanical state according to the application comprises the following steps: respectively acquiring mechanical acceleration time domain signals and oil pressure data through a plurality of sensors, and determining at least one time domain signal segment according to the acceleration time domain signals; performing vibration variance processing on the time domain signal segments, and comparing a variance value corresponding to each time domain signal segment with a preset state variance threshold value respectively to determine a mechanical state according to a comparison result; and sending an oil level abnormal state monitoring instruction to an oil level abnormal state monitoring end according to the mechanical state so as to determine whether the oil level is abnormal or not according to the mechanical state and the oil pressure data.
Further, the preset state variance threshold further includes a static state variance threshold, the performing vibration variance processing on the time domain signal segments, and comparing the variance value corresponding to each time domain signal segment with the preset state variance threshold, so as to determine the mechanical state according to the comparison result, includes: comparing the variance value corresponding to the time domain signal segment with the static state variance threshold; and if the variance value corresponding to the time domain signal segment is smaller than the static state variance threshold value and the duration reaches a first preset time, setting the mechanical state to be a static state.
Further, the preset state variance threshold further includes a working state variance threshold, the performing vibration variance processing on the time domain signal segments, and comparing the variance value corresponding to each time domain signal segment with the preset state variance threshold, so as to determine the mechanical state according to the comparison result, includes: comparing the variance value corresponding to the time domain signal segment with the working state variance threshold value; and if the variance value corresponding to the time domain signal segment is greater than the working state variance threshold value and the duration time reaches a second preset time, setting the mechanical state as a working state.
Further, the sending of an oil level abnormal state monitoring indication to an oil level abnormal state monitoring end according to the mechanical state to determine whether an oil level abnormality occurs according to the mechanical state and the oil pressure data includes: if the mechanical state is changed from the working state to the static state, sending a arming instruction to an arming and disarming state control end and setting the state of the arming and disarming state control end to be an arming request state so that the oil level abnormal state monitoring end carries out oil level abnormal monitoring according to the arming instruction; and if the mechanical state is changed from a static state to a working state, sending a disarming instruction to the arming and disarming state control end and setting the state of the arming and disarming state control end to be a disarming request state.
Further, the mechanical state includes a network connection state or a network disconnection state, and sending an oil level abnormal state monitoring indication to an oil level abnormal state monitoring end according to the mechanical state so as to determine whether an oil level abnormality occurs according to the mechanical state and the oil pressure data includes: judging whether a request for networking and uploading oil level abnormal data sent by the oil level abnormal state monitoring end can be received or not; if the request for networking and uploading oil level abnormal data can be received, setting the mechanical state to be a networking state so as to receive the oil level abnormal data; and if the machine state cannot be received, setting the machine state as a disconnected state.
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 based on a mechanical state.
The oil level abnormality monitoring device based on mechanical conditions according to the present application includes: the acquisition module is used for respectively acquiring mechanical acceleration time domain signals and oil pressure data through a plurality of sensors and determining at least one time domain signal segment according to the acceleration time domain signals; the comparison module is used for carrying out vibration variance processing on the time domain signal segments and comparing the variance value corresponding to each time domain signal segment with a preset state variance threshold value respectively so as to determine the mechanical state according to the comparison result; and the determining module is used for sending an oil level abnormal state monitoring instruction to an oil level abnormal state monitoring end according to the mechanical state so as to determine whether the oil level is abnormal or not according to the mechanical state and the oil pressure data.
Further, the preset state variance threshold further comprises a static state variance threshold, and the comparing module comprises: a first comparing unit, configured to compare a variance value corresponding to the time domain signal segment with the static state variance threshold; and the first setting unit is used for setting the mechanical state as a static state if the variance value corresponding to the time domain signal segment is less than the static state variance threshold value and the duration time reaches a first preset time.
Further, the preset state variance threshold further includes a working state variance threshold, and the comparing module further includes: the second comparison unit is used for comparing the variance value corresponding to the time domain signal segment with the working state variance threshold value; and the second setting unit is used for setting the mechanical state as the working state if the variance value corresponding to the time domain signal segment is greater than the working state variance threshold value and the duration time reaches a second preset time.
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, a plurality of sensors are adopted to respectively acquire mechanical acceleration time domain signals and oil pressure data, and at least one time domain signal segment is determined according to the acceleration time domain signals; performing vibration variance processing on the time domain signal segments, and comparing a variance value corresponding to each time domain signal segment with a preset state variance threshold value respectively to determine a mechanical state mode according to a comparison result; the oil level abnormal state monitoring indication is sent to the oil level abnormal state monitoring end according to the mechanical state, so that whether the oil level is abnormal or not is determined according to the mechanical state and the oil pressure data, the purpose of detecting the oil level abnormal condition by combining the collected distributed data is achieved, the effect of linkage of a plurality of devices is achieved, the oil level abnormal condition can be prevented from being misrepresented or not being reported, and the technical problem that the oil level abnormal condition is easily misrepresented or not being reported due to the fact that the monitoring device is single in oil level abnormal monitoring in the related technology is solved.
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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 mechanical condition-based oil level anomaly monitoring method according to a first embodiment of the present application;
FIG. 2 is a schematic flow chart of a method for monitoring abnormal oil level based on mechanical conditions according to a second embodiment of the present application;
FIG. 3 is a schematic illustration of switching of mechanical motion states according to an embodiment of the present application;
FIG. 4 is a schematic flow chart of a method for monitoring abnormal oil level based on mechanical conditions according to a third embodiment of the present application;
FIG. 5 is a schematic flow chart of a method for monitoring abnormal oil level based on mechanical conditions according to a fourth embodiment of the present application;
fig. 6 is a schematic diagram illustrating switching of arming, disarming and suspected disarming states according to an embodiment of the present disclosure;
FIG. 7 is a schematic flow chart of a method for monitoring abnormality of an oil level based on mechanical conditions according to a fifth embodiment of the present application;
FIG. 8 is a schematic illustration of the switching of mechanical networking states according to an embodiment of the present application;
fig. 9 is a schematic structural diagram of the oil level abnormality monitoring device based on mechanical conditions according to an embodiment of the present application; and
fig. 10 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 abnormality of an oil level based on a mechanical state, as shown in fig. 1, the method including steps S101 to S103 as follows:
step S101, respectively collecting mechanical acceleration time domain signals and oil pressure data through a plurality of sensors, and determining at least one time domain signal segment according to the acceleration time domain signals.
During specific implementation, continuous time domain signals of mechanical triaxial acceleration data are collected through a triaxial sensor, the collected continuous time domain signals are divided according to time periods, one or more time domain signal segments are further obtained, and the current state of the machine, including a working state or a static state, is judged according to at least one time domain signal segment. Oil pressure data may be collected by a pressure sensor in the oil tank. The type of the acceleration sensor may also be any other type, such as a six-axis or nine-axis sensor, and those skilled in the art can flexibly select the type according to actual needs, and is not limited in this respect.
Step S102, the time domain signal segments are subjected to vibration variance processing, and variance values corresponding to the time domain signal segments are respectively compared with preset state variance threshold values, so that the mechanical state is determined according to the comparison result.
In specific implementation, the standard variance value SD of each time domain signal segment obtained above is calculated, and a specific calculation formula is as follows:
Figure BDA0002368640160000061
n is not less than 1 and n is not less than 1,
wherein x isnAnd representing the signal size of each time domain signal segment, representing the average value of the signal sizes of n time domain signal segments, wherein n represents the number of the time domain signal segments, and performing vibration variance processing on the signal size of each time domain signal segment according to the formula to further obtain the vibration variance value SD of each time domain signal segment. Optionally, a state threshold of the vibration variance value is set in advance, and is used as a standard for determining the mechanical state, and the vibration variance value of each time domain signal segment is respectively compared with the preset state variance threshold to determine the mechanical state.
And step S103, sending an oil level abnormal state monitoring instruction to an oil level abnormal state monitoring end according to the mechanical state so as to determine whether the oil level is abnormal or not according to the mechanical state and the oil pressure data.
In specific implementation, the embodiment of the application sets that when the machine is in a normal operating state, the rising and falling of the oil level are not monitored, that is, the abnormal condition of the oil level is not monitored, and when the machine is in a static state, the oil level is continuously monitored by sending the abnormal oil level monitoring indication, so that the abnormal oil level monitoring indication needs to be sent to the abnormal oil level monitoring end according to the mechanical state, and whether the oil level is abnormal is determined according to the mechanical state and the oil pressure data. Through the process, the purpose that the collected distributed data are combined to monitor the abnormal condition of the oil level through mechanical state data and oil pressure data is achieved, the linkage effect of a plurality of devices such as a mechanical state monitoring device, an oil pressure data collecting device and an oil level abnormal monitoring device is achieved, and therefore the abnormal condition of the oil level can be avoided being reported in a wrong mode or being reported in a missing mode.
As a preferred implementation manner of the embodiment of the present application, as shown in fig. 2, the preset state variance threshold further includes a static state variance threshold, and the step of performing vibration variance processing on the time domain signal segments and comparing the variance value corresponding to each time domain signal segment with the preset state variance threshold respectively to determine the mechanical state according to the comparison result includes the following steps S201 to S202:
step S201, comparing the variance value corresponding to the time domain signal segment with the static state variance threshold.
In specific implementation, the preset state variance threshold of the embodiment of the present application includes a preset static state variance threshold E1, and the variance value corresponding to each time domain signal segment is compared with the static state variance threshold, so as to determine whether the current machine enters a static state.
Step S202, if the variance value corresponding to the time domain signal segment is smaller than the variance threshold value of the static state and the duration time reaches a first preset time, setting the mechanical state as the static state.
In specific implementation, as shown in fig. 3, assuming that the machine is in an operating state in the last period of time, when the variance value SD corresponding to each time domain signal segment is compared with the preset static state variance threshold value E1, if the currently obtained variance value SD of each time domain signal segment is smaller than the static threshold value E1 and lasts for more than the preset time T1, it indicates that the machine enters a static state from the operating state, and at this time, an oil level abnormal state arming indication is sent to the oil level abnormal monitoring end to perform abnormal oil level monitoring. And after receiving the response of the oil level abnormal monitoring end to the defense deployment indication, the machine enters a defense deployment state, in the state, the oil level abnormal event is continuously monitored, the three-axis sensor is set to be in a trigger state, and once the oil level abnormal monitoring end moves obviously or vibrates, the abnormal vibration event is pushed to give an alarm.
As a preferred implementation manner of the embodiment of the present application, as shown in fig. 4, the preset state variance threshold further includes a working state variance threshold, and the step of performing vibration variance processing on the time domain signal segments and comparing the variance value corresponding to each time domain signal segment with the preset state variance threshold respectively to determine the mechanical state according to the comparison result includes the following steps S301 to S302:
step S301, comparing the variance value corresponding to the time domain signal segment with the working state variance threshold.
In specific implementation, the preset state variance threshold in the embodiment of the present application includes a preset working state variance threshold E2, and the variance value corresponding to each time domain signal segment is compared with the working state variance threshold, so as to determine whether the current machine enters a working state.
Step S302, if the variance value corresponding to the time domain signal segment is greater than the working state variance threshold and the duration time reaches a second preset time, setting the mechanical state as a working state.
In specific implementation, as shown in fig. 3, assuming that the machine is in a static state in the last period of time, when the variance value SD corresponding to each time domain signal segment is compared with the preset operating state variance threshold value E2, if the currently obtained variance value SD of each time domain signal segment is greater than the static threshold value E2 and lasts for more than the preset time T2, it indicates that the machine enters the operating state from the static state, and at this time, an oil level abnormal state disarming instruction is sent to the oil level abnormal monitoring end to stop monitoring the oil level abnormality. In the disarmed state, the mechanical vehicle is described as being in motion, and the oil level abnormality monitoring may be temporarily stopped at this time.
Alternatively, as shown in fig. 3, when the machine is in a stationary state or is shifted from the stationary state to a moving state in the last period of time, and when the variance value SD corresponding to each current time-domain signal segment is compared with the preset operating state variance threshold value E2, if the variance value SD of each current time-domain signal segment is greater than the stationary threshold value E2 and lasts for more than the preset time T3, at this time, the preset time T3 may be less than the above-mentioned time T2, which indicates that the machine is suspected to enter the operating state from the stationary state, and at this time, the suspected disarming indication of the abnormal oil level state is sent to the abnormal oil level monitoring end. In this suspected disarming state, it indicates that the mechanical vehicle may be in a transition from a stationary state to a moving state or an operating state, and of course, may be subjected to transient vibration caused by external disturbance, and the determination criterion of the oil level abnormality characteristic in this state will be raised.
As a preferred implementation of the embodiment of the present application, as shown in fig. 5, the sending of the oil level abnormal state monitoring instruction to the oil level abnormal state monitoring end according to the mechanical state to determine whether the oil level abnormality occurs according to the mechanical state and the oil pressure data includes steps S401 to S402 as follows:
step S401, if the mechanical state is changed from the working state to the static state, a arming instruction is sent to an arming and disarming state control end, and the state of the arming and disarming state control end is set to be an arming request state, so that the oil level abnormal state monitoring end carries out oil level abnormal monitoring according to the arming instruction.
Step S402, if the mechanical state is changed from the static state to the working state, a disarming instruction is sent to the arming and disarming state control end, and the state of the arming and disarming state control end is set to be a disarming request state.
In specific implementation, as shown in fig. 6, a schematic diagram of switching between a arming state, a disarming state and a suspected disarming state is provided, which specifically includes:
a) [ disarming request state ]: in this state, the mechanical vehicle is in motion.
Switching to [ arming request state ]: and switching to a defense deployment request state after receiving a defense deployment indication of the mechanical state monitoring end so as to enable the oil level abnormal state monitoring end to monitor the oil level abnormity according to the defense deployment indication.
b) [ arming request state ]: in this state, the mechanical vehicle is stationary.
Switch to [ disarming request state ]: receiving a disarming instruction of a mechanical state monitoring end, and switching to a disarming request state;
switch to [ suspected disarmed state ]: and receiving a suspected disarming instruction of the mechanical state monitoring end, and switching to a suspected disarming state.
c) [ suspected withdrawal state ]: in this state, it means that the mechanical vehicle may be turning in a stationary direction or may be momentarily vibrated by external disturbance, and the criterion for determining the oil level characteristic in this state is increased;
switch to [ disarming request state ]: receiving a disarming instruction of a mechanical state monitoring end, and switching to a disarming request state;
switching to [ arming request state ]: stay in this state for more than T11 time, switch to the arming request state.
As a preferred implementation manner of the embodiment of the present application, as shown in fig. 7 and 8, the mechanical state includes a network connection state or a network disconnection state, and the sending of the oil level abnormal state monitoring instruction to the oil level abnormal state monitoring end according to the mechanical state to determine whether the oil level abnormality occurs according to the mechanical state and the oil pressure data includes steps S501 to S503 as follows:
step S501, determining whether a request for networking and uploading oil level abnormal data sent by the oil level abnormal state monitoring end can be received.
During specific implementation, if the machine enters a static state, the oil level abnormal state monitoring indication is determined to be sent, namely the machine enters a defense deployment state, the oil level abnormal monitoring end continuously monitors an abnormal event through the three-axis sensor, and once obvious movement or vibration occurs, an abnormal vibration event alarm is pushed, so that whether a request for networking and uploading oil level abnormal data sent by the oil level abnormal monitoring end can be obtained or not is judged through continuous monitoring.
Step S502, if the request for networking and uploading the oil level abnormal data can be received, the mechanical state is set to be a networking state, and the oil level abnormal data are received.
During specific implementation, if an indication that the oil level abnormal data are uploaded and networked by an abnormal monitoring end is received, the machine enters a networking state, and the oil level abnormal monitoring data are networked and received.
And step S503, if the machine state cannot be received, setting the machine state as a disconnected network state.
In specific implementation, if the indication of networking of an abnormal monitoring end and uploading of abnormal oil level data cannot be received within a certain period of time, the mechanical state is kept in a disconnected state. Alternatively, if the machine is in the networking state, when the time for which no data is sent exceeds the preset time T4, the machine enters the disconnection state from the networking state.
From the above description, it can be seen that the present invention achieves the following technical effects: respectively acquiring mechanical acceleration time domain signals and oil pressure data by a plurality of sensors, and determining at least one time domain signal segment according to the acceleration time domain signals; performing vibration variance processing on the time domain signal segments, and comparing a variance value corresponding to each time domain signal segment with a preset state variance threshold value respectively to determine a mechanical state mode according to a comparison result; the oil level abnormal state monitoring indication is sent to the oil level abnormal state monitoring end according to the mechanical state, so that whether the oil level is abnormal or not is determined according to the mechanical state and the oil pressure data, the purpose of detecting the oil level abnormal condition by combining the collected distributed data is achieved, the effect of linkage of a plurality of devices is achieved, and the condition of wrong report or missing report of the oil level abnormal condition can be avoided.
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 mechanical-condition-based oil level abnormality monitoring method, as shown in fig. 9, the apparatus including: the acquisition module is used for respectively acquiring mechanical acceleration time domain signals and oil pressure data through a plurality of sensors and determining at least one time domain signal segment according to the acceleration time domain signals; the comparison module is used for carrying out vibration variance processing on the time domain signal segments and comparing the variance value corresponding to each time domain signal segment with a preset state variance threshold value respectively so as to determine the mechanical state according to the comparison result; and the determining module is used for sending an oil level abnormal state monitoring instruction to an oil level abnormal state monitoring end according to the mechanical state so as to determine whether the oil level is abnormal or not according to the mechanical state and the oil pressure data.
As a preferred implementation manner of the embodiment of the present application, the preset state variance threshold further includes a static state variance threshold, and the comparing module includes: a first comparing unit, configured to compare a variance value corresponding to the time domain signal segment with the static state variance threshold; and the first setting unit is used for setting the mechanical state as a static state if the variance value corresponding to the time domain signal segment is less than the static state variance threshold value and the duration time reaches a first preset time.
As a preferred implementation manner of the embodiment of the present application, the preset state variance threshold further includes a working state variance threshold, and the comparing module further includes: the second comparison unit is used for comparing the variance value corresponding to the time domain signal segment with the working state variance threshold value; and the second setting unit is used for setting the mechanical state as the working state if the variance value corresponding to the time domain signal segment is greater than the working state variance threshold value and the duration time reaches a second preset time.
As a preferred implementation manner of the embodiment of the present application, the determining module includes: the first sending unit is used for sending a defense deployment instruction to a defense deployment and withdrawal state control end and setting the state of the defense deployment and withdrawal state control end to be a defense deployment request state if the mechanical state is changed from a working state to a static state, so that the oil level abnormal state monitoring end carries out oil level abnormal monitoring according to the defense deployment instruction; and the second sending unit is used for sending a disarming instruction to the arming and disarming state control end and setting the state of the arming and disarming state control end as a disarming request state if the mechanical state is changed from a static state to a working state.
As a preferred implementation manner of the embodiment of the present application, the mechanical state includes a networking state or a network disconnection state, and the apparatus further includes: the judgment module is used for judging whether a request for networking and uploading oil level abnormal data sent by the oil level abnormal state monitoring end can be received or not; the first setting module is used for setting the mechanical state to be in a networking state to receive the oil level abnormal data if the request for networking and uploading the oil level abnormal data can be received; and the second setting module is used for setting the mechanical state into a disconnected state if the mechanical state cannot be received.
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. 10, the electronic device includes one or more processors 31 and a memory 32, and one processor 31 is taken as an example in fig. 10.
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 the bus connection is exemplified in fig. 10.
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 based on mechanical state of the above 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 memory 32, which when executed by the one or more processors 31, perform the mechanical condition-based oil level anomaly monitoring method 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 for causing the computer to execute the above oil level abnormality monitoring method based on the mechanical state.
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 based on a mechanical state, characterized by comprising:
respectively acquiring mechanical acceleration time domain signals and oil pressure data through a plurality of sensors, and determining at least one time domain signal segment according to the acceleration time domain signals;
performing vibration variance processing on the time domain signal segments, and comparing a variance value corresponding to each time domain signal segment with a preset state variance threshold value respectively to determine a mechanical state according to a comparison result;
and sending an oil level abnormal state monitoring instruction to an oil level abnormal state monitoring end according to the mechanical state so as to determine whether the oil level is abnormal or not according to the mechanical state and the oil pressure data.
2. The oil level abnormality monitoring method based on mechanical conditions according to claim 1, wherein the preset condition variance threshold further comprises a static condition variance threshold, and the performing vibration variance processing on the time domain signal segments and comparing the variance value corresponding to each time domain signal segment with the preset condition variance threshold respectively to determine the mechanical conditions according to the comparison result comprises:
comparing the variance value corresponding to the time domain signal segment with the static state variance threshold;
and if the variance value corresponding to the time domain signal segment is smaller than the static state variance threshold value and the duration reaches a first preset time, setting the mechanical state to be a static state.
3. The oil level abnormality monitoring method based on mechanical conditions according to claim 1, wherein the preset condition variance threshold further comprises an operating condition variance threshold, and the performing vibration variance processing on the time domain signal segments and comparing the variance value corresponding to each time domain signal segment with the preset condition variance threshold respectively to determine the mechanical conditions according to the comparison result comprises:
comparing the variance value corresponding to the time domain signal segment with the working state variance threshold value;
and if the variance value corresponding to the time domain signal segment is greater than the working state variance threshold value and the duration time reaches a second preset time, setting the mechanical state as a working state.
4. The oil level abnormality monitoring method based on mechanical conditions according to claim 1, wherein said sending an oil level abnormality monitoring instruction to an oil level abnormality monitoring end according to the mechanical conditions to determine whether an oil level abnormality occurs according to the mechanical conditions and the oil pressure data includes:
if the mechanical state is changed from the working state to the static state, sending a arming instruction to an arming and disarming state control end and setting the state of the arming and disarming state control end to be an arming request state so that the oil level abnormal state monitoring end carries out oil level abnormal monitoring according to the arming instruction;
and if the mechanical state is changed from a static state to a working state, sending a disarming instruction to the arming and disarming state control end and setting the state of the arming and disarming state control end to be a disarming request state.
5. The oil level abnormality monitoring method based on the mechanical state according to claim 1, wherein the mechanical state includes a network connection state or a network disconnection state, and the sending of the oil level abnormality state monitoring indication to the oil level abnormality state monitoring terminal according to the mechanical state to determine whether the oil level abnormality occurs according to the mechanical state and the oil pressure data includes:
judging whether a request for networking and uploading oil level abnormal data sent by the oil level abnormal state monitoring end can be received or not;
if the request for networking and uploading oil level abnormal data can be received, setting the mechanical state to be a networking state so as to receive the oil level abnormal data;
and if the machine state cannot be received, setting the machine state as a disconnected state.
6. An oil level abnormality monitoring device based on a mechanical state, characterized by comprising:
the acquisition module is used for respectively acquiring mechanical acceleration time domain signals and oil pressure data through a plurality of sensors and determining at least one time domain signal segment according to the acceleration time domain signals;
the comparison module is used for carrying out vibration variance processing on the time domain signal segments and comparing the variance value corresponding to each time domain signal segment with a preset state variance threshold value respectively so as to determine the mechanical state according to the comparison result;
and the determining module is used for sending an oil level abnormal state monitoring instruction to an oil level abnormal state monitoring end according to the mechanical state so as to determine whether the oil level is abnormal or not according to the mechanical state and the oil pressure data.
7. The mechanical condition-based oil level abnormality monitoring device according to claim 6, wherein said preset condition variance threshold further includes a stationary condition variance threshold, said comparing means including:
a first comparing unit, configured to compare a variance value corresponding to the time domain signal segment with the static state variance threshold;
and the first setting unit is used for setting the mechanical state as a static state if the variance value corresponding to the time domain signal segment is less than the static state variance threshold value and the duration time reaches a first preset time.
8. The mechanical condition-based oil level abnormality monitoring device according to claim 6, wherein said preset condition variance threshold further includes an operating condition variance threshold, said comparing means further comprising:
the second comparison unit is used for comparing the variance value corresponding to the time domain signal segment with the working state variance threshold value;
and the second setting unit is used for setting the mechanical state as the working state if the variance value corresponding to the time domain signal segment is greater than the working state variance threshold value and the duration time reaches a second preset time.
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 1-5.
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 5.
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Citations (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE10153937A1 (en) * 2001-03-28 2003-02-27 Endress & Hauser Gmbh & Co Kg Device for determining and / or monitoring a predetermined fill level in a container
RU2393435C1 (en) * 2009-06-05 2010-06-27 Учреждение Российской академии наук Институт проблем управления им. В.А. Трапезникова РАН Method of indicating availability of liquid in reservoir and device for realising said method
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
CN102246012A (en) * 2008-11-14 2011-11-16 莫伯蕾有限公司 Vibrating element apparatus
CN103325531A (en) * 2013-06-27 2013-09-25 甘肃省电力公司检修公司 Intelligent oil level indicating device
CN103395405A (en) * 2013-07-30 2013-11-20 上海芯安信息科技有限公司 Intelligent automatic arming and disarming system for vehicular GPS monitoring antitheft equipment
CN103940492A (en) * 2014-04-30 2014-07-23 安徽江淮汽车股份有限公司 Fuel quantity displaying method and system
CN205449222U (en) * 2015-12-30 2016-08-10 广东长宝信息科技股份有限公司 A monitoring device for on car oil tank
JP2017083305A (en) * 2015-10-28 2017-05-18 新日鐵住金株式会社 Method for designing lowpass filter
CN108116418A (en) * 2017-12-18 2018-06-05 深圳广联赛讯有限公司 The determination methods and system, computer readable storage medium of vehicle point flameout state
KR20180112505A (en) * 2017-04-04 2018-10-12 현대자동차주식회사 Controlling apparatus and method for responsibility of fuel guage of high performance car
CN108871494A (en) * 2018-08-29 2018-11-23 南京智鹤电子科技有限公司 oil level measuring device
CN109084843A (en) * 2018-08-29 2018-12-25 南京智鹤电子科技有限公司 The monitoring system and method for engineering machinery
CN109115308A (en) * 2018-09-26 2019-01-01 惠州华阳通用电子有限公司 A kind of vehicle fuel quantity detection device and method
CN208956342U (en) * 2018-12-18 2019-06-07 南京爱体智能科技有限公司 A kind of bluetooth cloth preventing well cover unusual fluctuation intelligent perception system
CN110191018A (en) * 2019-05-28 2019-08-30 百度在线网络技术(北京)有限公司 Method for monitoring abnormality, device and the computer equipment of vehicle CAN bus
CN110207718A (en) * 2018-02-28 2019-09-06 福特全球技术公司 Cleaning solution level sensing

Patent Citations (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE10153937A1 (en) * 2001-03-28 2003-02-27 Endress & Hauser Gmbh & Co Kg Device for determining and / or monitoring a predetermined fill level in a container
CN102246012A (en) * 2008-11-14 2011-11-16 莫伯蕾有限公司 Vibrating element apparatus
RU2393435C1 (en) * 2009-06-05 2010-06-27 Учреждение Российской академии наук Институт проблем управления им. В.А. Трапезникова РАН Method of indicating availability of liquid in reservoir and device for realising said method
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
CN103325531A (en) * 2013-06-27 2013-09-25 甘肃省电力公司检修公司 Intelligent oil level indicating device
CN103395405A (en) * 2013-07-30 2013-11-20 上海芯安信息科技有限公司 Intelligent automatic arming and disarming system for vehicular GPS monitoring antitheft equipment
CN103940492A (en) * 2014-04-30 2014-07-23 安徽江淮汽车股份有限公司 Fuel quantity displaying method and system
JP2017083305A (en) * 2015-10-28 2017-05-18 新日鐵住金株式会社 Method for designing lowpass filter
CN205449222U (en) * 2015-12-30 2016-08-10 广东长宝信息科技股份有限公司 A monitoring device for on car oil tank
KR20180112505A (en) * 2017-04-04 2018-10-12 현대자동차주식회사 Controlling apparatus and method for responsibility of fuel guage of high performance car
CN108116418A (en) * 2017-12-18 2018-06-05 深圳广联赛讯有限公司 The determination methods and system, computer readable storage medium of vehicle point flameout state
CN110207718A (en) * 2018-02-28 2019-09-06 福特全球技术公司 Cleaning solution level sensing
CN108871494A (en) * 2018-08-29 2018-11-23 南京智鹤电子科技有限公司 oil level measuring device
CN109084843A (en) * 2018-08-29 2018-12-25 南京智鹤电子科技有限公司 The monitoring system and method for engineering machinery
CN109115308A (en) * 2018-09-26 2019-01-01 惠州华阳通用电子有限公司 A kind of vehicle fuel quantity detection device and method
CN208956342U (en) * 2018-12-18 2019-06-07 南京爱体智能科技有限公司 A kind of bluetooth cloth preventing well cover unusual fluctuation intelligent perception system
CN110191018A (en) * 2019-05-28 2019-08-30 百度在线网络技术(北京)有限公司 Method for monitoring abnormality, device and the computer equipment of vehicle CAN bus

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
ROGOVSKII, IVAN: "RESEARCH OF VIBROACOUSTIC DIAGNOSTICS OF FUEL SYSTEM OF ENGINES OF COMBINE HARVESTERS", 《18TH INTERNATIONAL SCIENTIFIC CONFERENCE ENGINEERING FOR RURAL DEVELOPMENT》 *
上海船用柴油机研究所: "《造船业中的振动噪声诊断 质量和可靠性》", 30 October 1993, 中国船舶工业总公司第七研究所 *
李勇: "现代煤矿长壁采煤机状态监测与专家决策系统研究", 《机械管理开发》 *
韩来聚: "《胜利钻井新技术研究创新与应用》", 31 March 2008, 中国石油大学出版社 *

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