CN114157927A - Wave recording method and device and working machine - Google Patents
Wave recording method and device and working machine Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 55
- 238000012544 monitoring process Methods 0.000 claims abstract description 216
- 238000005070 sampling Methods 0.000 claims description 34
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- 230000003993 interaction Effects 0.000 claims description 5
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- 230000005540 biological transmission Effects 0.000 description 4
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04Q—SELECTING
- H04Q9/00—Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D15/00—Component parts of recorders for measuring arrangements not specially adapted for a specific variable
- G01D15/06—Electric recording elements, e.g. electrolytic
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C3/00—Registering or indicating the condition or the working of machines or other apparatus, other than vehicles
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04Q2209/00—Arrangements in telecontrol or telemetry systems
- H04Q2209/80—Arrangements in the sub-station, i.e. sensing device
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04Q—SELECTING
- H04Q2209/00—Arrangements in telecontrol or telemetry systems
- H04Q2209/80—Arrangements in the sub-station, i.e. sensing device
- H04Q2209/82—Arrangements in the sub-station, i.e. sensing device where the sensing device takes the initiative of sending data
- H04Q2209/823—Arrangements in the sub-station, i.e. sensing device where the sensing device takes the initiative of sending data where the data is sent when the measured values exceed a threshold, e.g. sending an alarm
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Abstract
The invention relates to the technical field related to fault analysis, in particular to a wave recording method, a wave recording device and an operation machine. Specifically, the wave recording method comprises the following steps: acquiring monitoring data; the monitoring data are obtained by monitoring a preset working machine; judging whether the monitoring data meet a preset trigger condition or not; and if so, sending the monitoring data to a preset cloud. According to the arrangement, only data under the condition that faults or other waves need to be recorded are sent to the cloud end, the amount of the data transmitted to the cloud end is reduced, the space occupied by the cloud end is greatly avoided, meanwhile, only valuable data (namely the data acquired by meeting the preset triggering condition) are uploaded, and therefore relevant personnel can quickly determine the relevant data at the cloud end.
Description
Technical Field
The invention relates to the technical field related to fault analysis, in particular to a wave recording method, a wave recording device and an operation machine.
Background
In the use of operation machinery, need carry out data acquisition to some positions of operation machinery through the sensor to in the record of operation machinery trouble, at present, realize that the fault record main mode is: accessing a cloud end, uploading sensor signals (analog quantity) collected by an operating machine (such as a pump truck) to the cloud end, and displaying the sensor signals on the cloud end; however, in this way, a large amount of useless data are uploaded to the cloud, which not only occupies a large amount of space, but also increases the difficulty of related personnel in finding fault-related data.
Disclosure of Invention
The invention provides a wave recording method, a wave recording device and an operation machine, which are used for solving the defects that a large amount of data are transmitted to a cloud end, a large amount of space is occupied, and the difficulty of searching fault-related data for related personnel is increased in the prior art.
The invention provides a wave recording method, which comprises the following steps:
acquiring monitoring data; the monitoring data are obtained by monitoring a preset working machine;
judging whether the monitoring data meet a preset trigger condition or not;
and if so, sending the monitoring data to a preset cloud.
The wave recording method further comprises the step of increasing the sampling frequency of the monitoring data when the monitoring data meet a preset trigger condition.
The wave recording method provided by the invention further comprises the following steps: and storing the monitoring data in a first storage space.
According to the wave recording method provided by the invention, whether the monitoring data meet a preset trigger condition is judged, if yes, the monitoring data are sent to a preset cloud end, and the method specifically comprises the following steps:
judging whether the first target monitoring data meet a preset trigger condition or not; wherein the first target monitoring data is partial data in the monitoring data; the preset trigger condition is preset to be satisfied when the working machine malfunctions.
If yes, sending the second target monitoring data to a preset cloud end;
the second target monitoring data is part of the monitoring data corresponding to the first target monitoring data.
According to the wave recording method provided by the invention, when the monitoring data do not meet the preset triggering condition, the collected monitoring data are stopped being sent to the preset cloud.
According to the wave recording method provided by the invention, the step of sending the second target monitoring data to the preset cloud comprises the following steps:
transferring the second target monitoring data from the first storage space to the second storage space;
and sending the second target monitoring data stored in the second storage space to a preset cloud.
According to the wave recording method provided by the invention, the second target monitoring data comprises: first monitoring data, second monitoring data and time data;
the first monitoring data is acquired data which has a corresponding relation with the first target monitoring data when the first target monitoring data meets a preset trigger condition;
the second monitoring data is data acquired within a preset time before the first monitoring data is acquired and data acquired within a preset time after the first monitoring data is acquired and has a corresponding relation with the first target monitoring data;
the time data is the time for acquiring the first monitoring data and the second monitoring data.
The wave recording method provided by the invention further comprises the following steps: the type of the monitoring data, the sampling frequency of the monitoring data and/or a preset triggering condition are set through a preset human-computer interaction device or a cloud.
The present invention also provides a wave recording apparatus, comprising:
the acquisition module is used for acquiring monitoring data; the monitoring data are obtained by monitoring a preset working machine;
the judging module is used for judging whether the monitoring data meet a preset triggering condition or not;
and the sending module is used for sending the monitoring data to a preset cloud terminal when the monitoring data meets a preset triggering condition.
The wave recording device provided by the invention further comprises:
and the storage module is used for storing the monitoring data in a first storage space based on a first-in first-out principle and transferring the monitoring data needing to be sent to a preset cloud end from the first storage space to a second storage space.
The invention also provides an electronic device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize the steps of the wave recording method.
The invention also provides a non-transitory computer-readable storage medium having stored thereon a computer program which, when executed by a processor, carries out the steps of any of the recording methods as described above.
The present invention also provides a work machine comprising: the device comprises a working machine main body, a sensor arranged on the working machine main body and a wave recording device in communication connection with the sensor;
the wave recording device is in communication connection with a preset cloud end and is used for executing any one of the steps of the wave recording method.
The invention provides a wave recording method, a wave recording device and a wave recording method in an operating machine, which are used for judging whether the monitoring data meet a preset trigger condition or not; when the monitoring data meets the preset triggering condition, the fault or other conditions needing wave recording can be generally considered to occur at the moment, and the monitoring data is sent to the preset cloud. According to the arrangement, only data under the condition that faults or other waves need to be recorded are sent to the cloud end, the amount of the data transmitted to the cloud end is reduced, the space occupied by the cloud end is greatly avoided, meanwhile, only valuable data (namely the data acquired by meeting the preset triggering condition) are uploaded, and therefore relevant personnel can quickly determine the relevant data at the cloud end.
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In order to more clearly illustrate the technical solutions of the present invention or the prior art, the drawings needed for the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on the drawings without creative efforts.
FIG. 1 is a schematic flow chart of a recording method provided by the present invention;
FIG. 2 is a schematic diagram of a data processing flow in the wave recording method provided by the present invention;
FIG. 3 is a schematic structural diagram of a recording apparatus according to the present invention;
fig. 4 is a schematic structural diagram of an electronic device provided in the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. 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 invention.
In the use of operation machinery, need carry out data acquisition to some positions of operation machinery through the sensor to in order to carry out the record to operation machinery trouble, at present, realize that the fault record main mode includes: 1. the traditional way of locally displaying the fault signal; most of the information displayed in the mode is alarm signals, the fault recording presents a few forms and is limited by the functions, the internal memory and the like of the display screen; 2. a mode of waveform data recorded by a cloud platform; the mode is limited by flow, the sampling frequency is mostly 1 s-10 s, one sampling point is provided, the provided waveform is rough, key waveforms are easy to leak, and the analysis significance on faults is not large; 3. black box mode; the black box has high recording precision, but is only limited to locally exporting and checking after serious faults occur, so that the operation is inconvenient, and partial fault acquisition waveforms which are not serious are not supported.
With the development of intellectualization and digitalization of engineering machinery, the requirement for remotely diagnosing the working machinery (such as a pump truck) is more and more urgent, but the diagnosis of the working machinery and the display and reproduction of signals acquired by the working machinery are very important, so that a tool capable of conveniently recording data waveforms of the working machinery is required, and the existence of a cloud platform provides an important means for the tool. Based on the above, the embodiment of the invention provides a wave recording method, a wave recording device and a working machine.
The following describes the wave recording method, apparatus and working machine of the present invention with reference to fig. 1 to 4.
Fig. 1 is a schematic flow diagram of a wave recording method provided by the present invention, and referring to fig. 1, the wave recording method provided by the embodiment of the present invention includes:
it should be noted that the monitoring data acquired here is acquired via a preset sensor, and may of course include some data output by the work machine control system itself. The specific type of the monitoring data can be adjusted based on different actual instruments and different actual working conditions.
here, the main purpose of determining whether the monitoring data meets the preset trigger condition is to determine whether a fault occurs or other conditions that require recording occur. In practice, almost all faults can be determined by some monitoring data. In the scheme provided by the embodiment of the invention, the trigger condition can be set in advance, so that the preset trigger condition is set to be met when a fault occurs; this allows further action to be taken in the event of a fault. Of course, the preset trigger condition is also set to be satisfied when other events needing recording and broadcasting occur; this allows further action to be taken when other events requiring recording occur.
And 103, if yes, sending the monitoring data to a preset cloud.
It should be noted that the monitoring data uploaded to the preset cloud may be only the monitoring data acquired after the fault occurs, or may be the monitoring data acquired when the fault occurs and within a period of time before and after the fault occurs. Of course, in practical applications, the uploaded monitoring data may further include: date, time, trigger signal, etc. Specifically, the cloud end can be a preset cloud end platform or a cloud end server.
Therefore, in the wave recording method provided by the embodiment of the invention, whether the monitoring data meet the preset triggering condition is judged; when the monitoring data meets the preset triggering condition, the fault or other conditions needing wave recording can be generally considered to occur at the moment, and the monitoring data is sent to the preset cloud. According to the arrangement, only data under the condition that faults or other waves need to be recorded are sent to the cloud end, the amount of the data transmitted to the cloud end is reduced, the space occupied by the cloud end is greatly avoided, meanwhile, only valuable data (namely the data acquired by meeting the preset triggering condition) are uploaded, and therefore relevant personnel can quickly determine the relevant data at the cloud end. The following mainly takes the case of failure as an example to explain the scheme provided by the embodiment of the invention.
Furthermore, related personnel can remotely check the monitoring data uploaded to the cloud end through a cloud platform provided by the cloud end, can download the monitoring data uploaded to the cloud end through a personal terminal, and then locally check the monitoring data uploaded to the cloud end.
In practical application, data after a fault occurs can provide better support for analysis of related personnel, and based on this, the scheme provided by the embodiment of the invention further comprises: and when the monitoring data meet a preset trigger condition, improving the sampling frequency of the monitoring data. Namely: when the monitoring data meet the preset triggering condition, the fault is shown to occur at the moment, and the sampling frequency of the monitoring data is increased at the moment to obtain more precise monitoring data.
So set up, after the trouble takes place, can acquire higher sampling frequency's monitoring data, the relevant personnel of being convenient for carry out the analysis based on these high accuracy data. Meanwhile, a low sampling frequency is adopted at ordinary times, a small amount of data can be obtained, the requirement on equipment for operating the method provided by the embodiment of the invention can be reduced, and the problems of insufficient storage space, inconvenience in transmission and the like caused by high sampling frequency and more data are avoided.
Specifically, for some types of sensors, the sampling frequency may be a fixed sampling frequency, and in actual use, a mode of uniformly abandoning part of sampling points may be adopted to achieve the effect of reducing the sampling frequency. For example, a sensor, with a fixed sampling frequency of 100 Hz. At ordinary times, a mode of acquiring one sampling point and giving up 9 sampling points can be adopted, and the effect similar to that of acquisition by using a sensor with the sampling frequency of 10Hz is achieved. When a fault occurs, increasing the sampling frequency, namely adopting all sampling points to obtain monitoring data with the sampling frequency of 100 Hz; for a sensor which continuously outputs signals continuously, the sampling frequency is determined based on the acquired frequency when acquiring the monitoring data acquired by the preset sensor.
In practical application, whether the monitoring data meet preset triggering conditions or not is judged, if yes, the monitoring data are sent to a preset cloud end, and the method specifically comprises the following steps:
judging whether the first target monitoring data meet a preset trigger condition or not; wherein the first target monitoring data is partial data in the monitoring data; the preset trigger condition is preset to be satisfied when the working machine malfunctions; if yes, sending the second target monitoring data to a preset cloud end; the second target monitoring data is part of the monitoring data corresponding to the first target monitoring data.
For example, the specific settings for a certain fault may be as follows: the first target monitoring data may be one angle monitoring data. When the angle monitoring data is larger than the preset value, the fault is considered to occur at the moment, and monitoring data related to the fault, namely second target monitoring data, is obtained. The second monitored data may be data related to temperature data, pressure data, etc. related to the fault.
Further, when the monitoring data do not meet the preset triggering condition, the collected monitoring data are stopped being sent to a preset cloud. And simultaneously, reducing the sampling frequency of the monitoring data.
Further, in practical use, data is continuously generated along with the operation of the device, and the accumulation of a large amount of useless data occupies the storage space of the device. In order to solve this problem, an embodiment of the present invention provides the following solutions:
and storing the monitoring data in a first storage space on the basis of a first-in first-out principle.
According to the arrangement, only the recent valid data is reserved, the data which is earlier in time is preferentially abandoned and only the recent data is reserved according to the first-in first-out principle, and the backlog of the monitoring data is avoided.
In practical use, problems such as data transmission failure due to unstable network connection may occur, and in order to avoid that data in the first storage space is deleted based on a line first-out principle after cloud data transmission failure, in the scheme provided in the embodiment of the present invention, the sending of the second target monitoring data to the preset cloud specifically includes:
and transferring the second target monitoring data from the first storage space to the second storage space.
According to the arrangement, the collected data is preferentially stored in the first storage space, and when a fault occurs, the data needing to be uploaded to the cloud end is transferred to the second storage space. At this time, the monitoring data is stored in the first storage space on the basis of a first-in first-out principle. The setting of the second storage space can avoid that the data needing to be uploaded is deleted. If a data transmission problem occurs, the related personnel can determine the data based on the second storage space.
Specifically, the second target monitoring data includes: first monitoring data, second monitoring data and time data;
the first monitoring data is acquired data which has a corresponding relation with the first target monitoring data when the first target monitoring data meets a preset trigger condition;
the second monitoring data is data acquired within a preset time before the first monitoring data is acquired and data acquired within a preset time after the first monitoring data is acquired and has a corresponding relation with the first target monitoring data;
the time data is the time for acquiring the first monitoring data and the second monitoring data.
The configuration can upload more comprehensive data related to faults.
It should be noted that, in the method for a wave recording device provided in the embodiment of the present invention, the type of the monitoring data, the sampling frequency of the monitoring data, and/or the preset trigger condition may also be set through a preset human-computer interaction device or a cloud. By the arrangement, the preset trigger condition and the type of the monitoring data can be flexibly set based on actual conditions, and parameters such as sampling frequency and the like can be flexibly set in actual application, so that the applicability of the scheme provided by the embodiment of the invention is improved.
FIG. 2 is a schematic diagram of a data processing flow in the wave recording method provided by the present invention; referring to fig. 2, a specific data processing flow in the wave recording method provided by the embodiment of the present invention is as follows:
a parameter setting stage: the wave recording is triggered based on an event, and before wave recording is executed, an instruction is issued through a display screen interface (a preset human-computer interaction device) or a cloud platform (a cloud end) to set parameters of a wave recording function, and the following parameters are determined:
1) the recording object is used for monitoring which parameter;
2) a wave recording triggering condition, that is, wave recording is triggered when the monitored parameter reaches a certain set condition, for example, the pressure reaches a certain value, the angle of the whole vehicle reaches a certain change value, and the like;
3) the recording sampling frequency, that is, the sampling frequency of the monitoring data acquired during monitoring, it should be noted that the sampling frequency here refers to the frequency of the monitoring data formed based on the sampling storage period for the parameter in the acquired monitoring data. Specifically, 100Hz corresponds to 10ms of one sample point, and 10Hz corresponds to 100ms of one sample point.
A wave recording stage: the method comprises the steps that a first storage space is reserved in a controller and used for temporarily storing parameter sampling data to be monitored, the controller stores collected monitoring data according to a preset sampling frequency, the quantity of the stored data is determined by the size of a reserved memory area, the data are updated in real time, and after the quantity of the stored data exceeds the storage size, the earliest recorded data are updated in a covering mode.
The controller carries out operation processing on the acquired data, judges whether a wave recording triggering condition is met, when the triggering condition is met, the data of a time point when wave recording is triggered and 100 pieces of data (or other lengths) before and after the data are stored into a second storage space, and relevant information such as date, time, triggering signals and the like is synchronously stored.
And (3) data uploading stage: the data of the second storage space are uploaded to the cloud platform in a communication mode, or the data needing to be uploaded in the first storage space are directly uploaded to the cloud platform and stored according to date, time, trigger conditions and the like, so that an engineer can conveniently log in and check the data.
It should be noted that, in practical applications, the data adopted when determining whether the monitoring data meets the preset trigger condition and the uploaded data may be, but are not limited to, signals acquired by the same sensor. When uploading, not all the collected data are uploaded.
For example, the preset sensors include a sensor a, a sensor b, a sensor c, a sensor d, and a sensor e.
The preset condition corresponding to the first fault may be that data acquired by the sensor a is greater than a first preset value; the data associated with the first type of fault includes: data collected by sensor a, sensor c and sensor d.
The preset condition corresponding to the second fault may be that the data acquired by the sensor b is greater than a second preset value; the data associated with the second type of fault includes: data collected by sensor e.
If the data collected by the sensor a is larger than the first preset value in the actual operation, the data collected by the sensor a, the sensor c and the sensor d and other related data are uploaded to the cloud. If the data collected by the sensor b is larger than the second preset value in the actual operation, the data collected by the sensor e and other related data are uploaded to the cloud.
It should be noted that the preset trigger condition may be determined by one set of data, or may be determined by multiple sets of data. For example, when the trigger condition is determined by a set of data, the preset trigger condition may be exceeding a certain threshold, being lower than a certain threshold, being in a certain range, or exceeding a certain range.
FIG. 3 is a schematic structural diagram of a recording apparatus according to the present invention; referring to fig. 3, the following describes the wave recording apparatus provided by the present invention, and the wave recording apparatus described below and the wave recording method described above can be referred to correspondingly.
The wave recording device provided by the embodiment of the invention comprises:
an obtaining module 31, configured to obtain monitoring data; the monitoring data are obtained by monitoring a preset working machine;
a judging module 32, configured to judge whether the monitoring data meets a preset trigger condition;
and the sending module 33 is configured to send the monitoring data to a preset cloud when the monitoring data meets a preset trigger condition.
Further, the wave recording device further comprises:
and the storage module is used for storing the monitoring data in a first storage space based on a first-in first-out principle and transferring the monitoring data needing to be sent to a preset cloud end from the first storage space to a second storage space.
Optionally, the device further comprises an increasing unit, configured to increase a sampling frequency of the monitoring data when the monitoring data meets a preset trigger condition.
Further, the method also comprises the following steps: and the storage unit is used for storing the monitoring data in a first storage space.
Further, judge whether monitoring data satisfies and predetermine trigger condition, if, with monitoring data sends and predetermines the high in the clouds, specifically is:
judging whether the first target monitoring data meet a preset trigger condition or not; wherein the first target monitoring data is partial data in the monitoring data; the preset trigger condition is preset to be satisfied when the working machine malfunctions.
If yes, sending the second target monitoring data to a preset cloud end;
the second target monitoring data is part of the monitoring data corresponding to the first target monitoring data.
Further, when the monitoring data do not meet the preset triggering condition, the collected monitoring data are stopped being sent to a preset cloud.
Further, the sending the second target monitoring data to a preset cloud includes:
transferring the second target monitoring data from the first storage space to the second storage space;
and sending the second target monitoring data stored in the second storage space to a preset cloud.
Further, the second target monitoring data includes: first monitoring data, second monitoring data and time data;
the first monitoring data is acquired data which has a corresponding relation with the first target monitoring data when the first target monitoring data meets a preset trigger condition;
the second monitoring data is data acquired within a preset time before the first monitoring data is acquired and data acquired within a preset time after the first monitoring data is acquired and has a corresponding relation with the first target monitoring data;
the time data is the time for acquiring the first monitoring data and the second monitoring data.
Further, the method also comprises the following steps: and the setting unit is used for setting the type of the monitoring data, the sampling frequency of the monitoring data and/or a preset triggering condition through a preset human-computer interaction device or a cloud.
Fig. 4 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 4: a processor (processor)410, a communication Interface 420, a memory (memory)430 and a communication bus 440, wherein the processor 410, the communication Interface 420 and the memory 430 are communicated with each other via the communication bus 440. The processor 410 may invoke logic instructions in the memory 430 to perform a wave recording method comprising: acquiring monitoring data; judging whether the monitoring data meet a preset trigger condition or not; and if so, sending the monitoring data to a preset cloud.
In addition, the logic instructions in the memory 430 may be implemented in the form of software functional units and stored in a computer readable storage medium when the software functional units are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In another aspect, the present invention also provides a computer program product comprising a computer program stored on a non-transitory computer-readable storage medium, the computer program comprising program instructions, which when executed by a computer, enable the computer to perform the wave recording method provided by the above methods, the method comprising: acquiring monitoring data; judging whether the monitoring data meet a preset trigger condition or not; and if so, sending the monitoring data to a preset cloud.
In yet another aspect, the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored, the computer program being implemented by a processor to execute the wave recording method provided in the above embodiments, the method including: acquiring monitoring data; judging whether the monitoring data meet a preset trigger condition or not; and if so, sending the monitoring data to a preset cloud.
An embodiment of the present invention further provides a working machine, including: the device comprises a working machine main body, a sensor arranged on the working machine main body and a wave recording device in communication connection with the sensor;
the wave recording device is in communication connection with a preset cloud end and is used for executing the wave recording method in any embodiment of the invention, and the method comprises the following steps: acquiring monitoring data; judging whether the monitoring data meet a preset trigger condition or not; and if so, sending the monitoring data to a preset cloud.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A method of recording waves, comprising:
acquiring monitoring data; the monitoring data are obtained by monitoring a preset working machine;
judging whether the monitoring data meet a preset trigger condition or not;
and if so, sending the monitoring data to a preset cloud.
2. The method of recording waves according to claim 1, further comprising:
and when the monitoring data meet a preset trigger condition, increasing the sampling frequency of the monitoring data to a preset frequency.
3. The method of recording waves according to claim 1, further comprising:
and storing the monitoring data in a first storage space.
4. The wave recording method according to claim 1, wherein it is determined whether the monitoring data meets a preset trigger condition, and if so, the monitoring data is sent to a preset cloud, specifically:
judging whether the first target monitoring data meet a preset trigger condition or not; wherein the first target monitoring data is partial data in the monitoring data; the preset trigger condition is preset to be satisfied when the working machine malfunctions;
if yes, sending the second target monitoring data to a preset cloud end;
the second target monitoring data is part of the monitoring data corresponding to the first target monitoring data.
5. The wave recording method according to claim 4, wherein when the monitoring data does not satisfy a preset trigger condition, the collected monitoring data is stopped from being sent to a preset cloud.
6. The method for recording waves according to claim 4, wherein the sending the second target monitoring data to a preset cloud comprises:
transferring the second target monitoring data from the first storage space to the second storage space;
and sending the second target monitoring data stored in the second storage space to a preset cloud.
7. The method of claim 4, wherein the second target monitoring data comprises: first monitoring data, second monitoring data and time data;
the first monitoring data is acquired data which has a corresponding relation with the first target monitoring data when the first target monitoring data meets a preset trigger condition;
the second monitoring data is data acquired within a preset time before the first monitoring data is acquired and data acquired within a preset time after the first monitoring data is acquired and has a corresponding relation with the first target monitoring data;
the time data is the time for acquiring the first monitoring data and the second monitoring data.
8. The method of recording waves according to any of the claims from 1 to 6, characterized in that it further comprises:
the type of the monitoring data, the sampling frequency of the monitoring data and/or a preset triggering condition are set through a preset human-computer interaction device or a cloud.
9. A wave recording apparatus, comprising:
the acquisition module is used for acquiring monitoring data; the monitoring data are obtained by monitoring a preset working machine;
the judging module is used for judging whether the monitoring data meet a preset triggering condition or not;
and the sending module is used for sending the monitoring data to a preset cloud terminal when the monitoring data meets a preset triggering condition.
10. A work machine, comprising: the device comprises a working machine main body, a sensor arranged on the working machine main body and a wave recording device in communication connection with the sensor;
the wave recording device is in communication connection with a preset cloud end and is used for executing the wave recording method according to any one of claims 1 to 8.
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