CN112577724B - Method for determining start-stop threshold value of movable equipment, start-stop monitoring method and device - Google Patents
Method for determining start-stop threshold value of movable equipment, start-stop monitoring method and device Download PDFInfo
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Abstract
The invention discloses a method for determining a start-stop threshold of movable equipment, which is executed in computing equipment, wherein the start-stop threshold is used for judging the start-stop state of the movable equipment by comparing with a real-time acceleration effective value of the movable equipment, and the method comprises the following steps: obtaining a plurality of historical acceleration effective values of the mobile equipment; the method comprises the steps of aggregating a plurality of historical acceleration effective values into two types; and taking the average value of the class centers of the two classes as the start-stop threshold value of the movable equipment. The invention also discloses a corresponding method and a corresponding device for monitoring starting and stopping of the mobile equipment.
Description
Technical Field
The invention relates to the technical field of monitoring of the health state of movable equipment, in particular to a method for determining a start-stop threshold value of the movable equipment, a method for monitoring start-stop and a device thereof.
Background
The monitoring of the starting and stopping states of the mobile equipment is an important link in the management application of the whole life cycle of the equipment. The starting and stopping states of the mobile equipment are accurately judged, the starting and stopping states of the equipment are uploaded to an equipment management system, data support can be provided for calculation of key indexes such as the running time of the equipment, the service life of the equipment, the interval time without fault and the like, fine management of enterprises to the equipment is enhanced, the equipment management level is improved, and therefore loss caused by unplanned equipment stopping is reduced.
The existing method for monitoring starting and stopping of the movable equipment is mainly completed by monitoring the rotating speed, voltage and current of the equipment. However, in most scenarios, the rotation speed of the equipment is determined, and a rotation speed sensor is not required to be installed, so that the rotation speed of the equipment cannot be acquired. In addition, voltage and current sensors are expensive and few devices are available to mount such sensors.
Disclosure of Invention
To this end, the present invention provides a method for determining a start-stop threshold of a mobile device, a method for monitoring start-stop and a device thereof, so as to solve or at least alleviate the above problems.
According to a first aspect of the present invention, there is provided a method for determining a start-up and shutdown threshold of a mobile device, the method being executed in a computing device, the start-up and shutdown threshold being used for determining a start-up and shutdown state of the mobile device by comparing with a real-time acceleration effective value of the mobile device, the method comprising: obtaining a plurality of effective historical acceleration values of the mobile equipment; clustering a plurality of historical acceleration effective values into two types; and taking the average value of the class centers of the two classes as the start-stop threshold value of the movable equipment.
Optionally, in the method for determining the moving equipment start-stop threshold according to the present invention, the effective acceleration value is a root mean square of a plurality of vibration acceleration values acquired by the acceleration sensor within a preset time period.
Optionally, in the method for determining the start-stop threshold of the mobile device according to the present invention, a ratio of the start-stop threshold to an absolute value of a difference between class centers of the corresponding two classes is used as an evaluation coefficient of the start-stop threshold.
Optionally, in the method for determining the start-up and shut-down threshold of the mobile device according to the present invention, the method further includes the steps of: carrying out Fourier transformation on a time domain curve consisting of a plurality of historical acceleration effective values to obtain a vibration acceleration frequency spectrum; the amplitude values of the frequency components in the preset frequency range are gathered into two types; and taking the average value of the class centers of the two classes as a start-stop threshold reference value.
Optionally, in the method for determining the start-stop threshold of the mobile device according to the present invention, a ratio of an absolute value of a difference between a reference value of the start-stop threshold and a class center of the corresponding two classes is used as an evaluation coefficient of the reference value of the start-stop threshold.
Optionally, in the method for determining the start-stop threshold of the mobile device according to the present invention, if a ratio of an evaluation coefficient of the start-stop threshold reference value to an evaluation coefficient of the start-stop threshold reference value is lower than the start-stop threshold reaches a preset threshold, the start-stop threshold reference value is used as the start-stop threshold.
According to a second aspect of the present invention, there is provided a method for monitoring start-up and shutdown of a mobile device, which is executed in a computing device, the mobile device includes a plurality of measuring points, each of which is provided with an acceleration sensor, the acceleration sensor is adapted to acquire vibration acceleration of the corresponding measuring point, and the method includes: acquiring a real-time acceleration effective value of each measuring point; calculating the proportion of the measuring points with the acceleration effective value more than or equal to a preset start-stop threshold; when the ratio is greater than or equal to a preset measuring point ratio threshold, judging that the movable equipment is in a starting state; otherwise, the mobile equipment is judged to be in a shutdown state.
Optionally, in the method for monitoring startup and shutdown of the mobile equipment according to the present invention, the startup and shutdown threshold is determined according to the method for determining the startup and shutdown threshold of the mobile equipment.
Optionally, in the method for monitoring starting and stopping of a mobile device according to the present invention, the real-time effective acceleration value is a root-mean-square of a plurality of vibration acceleration values acquired by the acceleration sensor within a current preset time period.
According to a third aspect of the invention, there is provided a computing device comprising: at least one processor; and a memory storing program instructions that, when read and executed by the processor, cause the computing device to perform the above-described method for determining a moving equipment start-stop threshold and/or the above-described moving equipment start-stop monitoring method.
According to a fourth aspect of the present invention, there is provided a readable storage medium storing program instructions, which when read and executed by a computing device, cause the computing device to execute the above-mentioned method for determining a start-up and stop-down threshold of a mobile device and/or the above-mentioned method for monitoring start-up and stop-down of a mobile device.
According to the technical scheme, the starting and stopping threshold value of the mobile equipment is calculated through historical acceleration data of the mobile equipment, and the real-time starting and stopping state of the mobile equipment is determined through comparing the real-time acceleration data with the starting and stopping threshold value. The vibration acceleration sensor is a sensor commonly used in industrial production, and has low cost and high popularity, so the monitoring scheme for the starting and stopping states of the moving equipment has strong practicability.
The technical scheme of the invention realizes the accurate identification of the starting and stopping state of the movable equipment, can provide reliable data support for the calculation of key indexes such as the running time of the equipment, the service life of the equipment, the interval time without fault and the like, strengthens the fine management of enterprises on the equipment, improves the management level of the equipment, and further reduces the loss caused by the unplanned stopping of the equipment.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
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To the accomplishment of the foregoing and related ends, certain illustrative aspects are described herein in connection with the following description and the annexed drawings, which are indicative of various ways in which the principles disclosed herein may be practiced, and all aspects and equivalents thereof are intended to be within the scope of the claimed subject matter. The above and other objects, features and advantages of the present disclosure will become more apparent from the following detailed description read in conjunction with the accompanying drawings. Throughout this disclosure, like reference numerals generally refer to like parts or elements.
FIG. 1 shows a schematic diagram of a startup and shutdown state monitoring system 100 according to one embodiment of the invention;
FIG. 2 shows a schematic diagram of a computing device 200, according to one embodiment of the invention;
FIG. 3 illustrates a flow diagram of a method 300 for determining a plant start-up and shut-down threshold in accordance with one embodiment of the present invention;
FIG. 4 illustrates a flow diagram of a mobile unit start-up and shut-down monitoring method 400 according to one embodiment of the invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
Aiming at the problems in the prior art, the invention provides a method for determining the starting and stopping threshold value of the movable equipment, a method and a device for monitoring the starting and stopping state, which can realize the accurate identification of the starting and stopping state of the movable equipment.
FIG. 1 shows a schematic diagram of a startup shutdown state monitoring system 100 according to one embodiment of the invention. As shown in fig. 1, the startup and shutdown state monitoring system 100 includes a device under test 110, an acceleration sensor 120, and a computing device 200.
It should be noted that the break-in state monitoring system 100 shown in FIG. 1 is merely exemplary. In a specific practical situation, the start-stop state monitoring system may include different numbers of devices to be tested, acceleration sensors and computing devices, and the number of the devices to be tested, the acceleration sensors and the computing devices included in the start-stop state monitoring system is not limited by the present invention.
The start-up and shutdown state monitoring system 100 is used to monitor the start-up and shutdown states of the device under test 110.
The device under test 110 may be any mobile device including, but not limited to, a pump, a centrifugal fan, an axial fan, a wind generator (doubly fed, semi-direct drive, direct drive), a large centrifugal unit, a reciprocating unit, a mill, a crusher, a hoist, a rotary kiln, a belt conveyor, and the like.
In an embodiment of the present invention, the startup and shutdown state is a generic term of a startup state and a shutdown state. Wherein, the startup state refers to that the equipment is running (rotating), and the shutdown state refers to that the equipment stops running.
In the embodiment of the present invention, at least one measuring point (or called monitoring point, monitoring portion/component) is disposed on the device under test 110, and each measuring point is respectively disposed with an acceleration sensor 120 for acquiring a vibration acceleration signal of the corresponding measuring point. The number and position of the measuring points of the device to be measured can be set by those skilled in the art according to practical situations, and the invention is not limited to this. For example, in the embodiment shown in fig. 1, three measuring points are arranged on the device under test 110, and each measuring point is provided with an acceleration sensor 120.
Further, it should be noted that the present invention does not limit the type and model of the acceleration sensor 120. For example, the acceleration sensor may be of the piezoelectric, piezoresistive, capacitive, inductive type, or the like.
As shown in fig. 1, in the start-stop state monitoring system 100, the computing device 200 is in communication connection with the acceleration sensors 120 disposed at each measurement point of the device under test 110, and is adapted to receive the vibration acceleration signals collected by each acceleration sensor 120, and store, analyze, and display the vibration acceleration signals. In an embodiment of the present invention, the computing device 200 may analyze the vibration acceleration signal to identify a start-up and shut-down state of the device under test 110.
Specifically, the computing device 200 may execute the method 300 for determining the start-up and shut-down thresholds of the mobile devices according to the present invention, and calculate the start-up and shut-down thresholds according to the historical acceleration data of the device under test (as will be understood by those skilled in the art, the start-up and shut-down thresholds of different mobile devices are usually different, and therefore the start-up and shut-down thresholds of different mobile devices need to be calculated respectively). Subsequently, based on the start-up and shut-down threshold determined by method 300, computing device 200 may perform mobile device start-up and shut-down monitoring method 400 of the present invention to determine a real-time start-up and shut-down status of the device under test by comparing the real-time acceleration data of the current device under test to the start-up and shut-down threshold.
It should be noted that, from the simplicity of the drawing, only one computing device 200 is shown in FIG. 1, and both the method 300 for determining a moving equipment shutdown threshold and the method 400 for monitoring moving equipment shutdown are performed in the computing device 200 shown in FIG. 1. Those skilled in the art will appreciate that in particular implementations, the computing device used to perform the method 300 of determining a plant start-up and shut-down threshold may be a different computing device than the computing device used to perform the method 400 of monitoring plant start-up and shut-down.
For example, two computing devices, computing device 200-1 and computing device 200-2, may be included in the break-in state monitoring system. The computing device 200-1 performs the method 300 for determining the start-up and shut-down thresholds of the mobile device, and after determining the start-up and shut-down thresholds of the device under test, transmits the thresholds to the computing device 200-2. The computing device 200-2 executes the mobile device start-stop monitoring method 400 based on the start-stop threshold to identify a real-time start-stop state of the device under test.
Fig. 2 illustrates a block diagram of a computing device 200. As shown in FIG. 2, in a basic configuration 102, a computing device 200 typically includes a system memory 206 and one or more processors 204. A memory bus 208 may be used for communication between the processor 204 and the system memory 206.
Depending on the desired configuration, the processor 204 may be any type of processing, including but not limited to: a microprocessor (μ P), a microcontroller (μ C), a Digital Signal Processor (DSP), or any combination thereof. The processor 204 may include one or more levels of cache, such as a level one cache 210 and a level two cache 212, a processor core 214, and registers 216. Example processor cores 214 may include Arithmetic Logic Units (ALUs), floating Point Units (FPUs), digital signal processing cores (DSP cores), or any combination thereof. The example memory controller 218 may be used with the processor 204, or in some implementations the memory controller 218 may be an internal part of the processor 204.
Depending on the desired configuration, system memory 206 may be any type of memory including, but not limited to: volatile memory (such as RAM), non-volatile memory (such as ROM, flash memory, etc.), or any combination thereof. The physical memory in the computing device is usually referred to as a volatile memory RAM, and data in the disk needs to be loaded into the physical memory to be read by the processor 204. System memory 206 may include an operating system 220, one or more applications 222, and program data 224. In some implementations, the application 222 can be arranged to execute instructions on the operating system with the program data 224 by the one or more processors 204. Operating system 220 may be, for example, linux, windows, or the like, which includes program instructions for handling basic system services and for performing hardware-dependent tasks. The application 222 includes program instructions for implementing various user-desired functions, and the application 222 may be, for example, but not limited to, a browser, instant messenger, a software development tool (e.g., an integrated development environment IDE, a compiler, etc.), and the like. When the application 222 is installed into the computing device 200, a driver module may be added to the operating system 220.
When the computing device 200 is started, the processor 204 reads the program instructions of the operating system 220 from the memory 206 and executes them. Applications 222 run on top of operating system 220, utilizing the interface provided by operating system 220 and the underlying hardware to implement various user-desired functions. When the user starts the application 222, the application 222 is loaded into the memory 206, and the processor 204 reads the program instructions of the application 222 from the memory 206 and executes the program instructions.
The network communication link may be one example of a communication medium. Communication media may typically be embodied by computer readable instructions, data structures, program modules, and may include any information delivery media, such as carrier waves or other transport mechanisms, in a modulated data signal. A "modulated data signal" may be a signal that has one or more of its data set or its changes in such a manner as to encode information in the signal. By way of non-limiting example, communication media may include wired media such as a wired network or private-wired network, and various wireless media such as acoustic, radio Frequency (RF), microwave, infrared (IR), or other wireless media. The term computer readable media as used herein may include both storage media and communication media.
The computing device 200 also includes a storage interface bus 234 coupled to the bus/interface controller 230. The storage interface bus 234 is coupled to the storage device 232, and the storage device 232 is adapted for data storage. An exemplary storage device 232 may include removable storage 236 (e.g., CD, DVD, U-disk, removable hard disk, etc.) and non-removable storage 238 (e.g., hard disk drive, HDD, etc.)
In a computing device 200 according to the present invention, the application 222 includes instructions for performing the mobile device start-up and shut-down threshold determination method 300 and/or the mobile device start-up and shut-down monitoring method 400 of the present invention that may instruct the processor 204 to perform the mobile device start-up and shut-down threshold determination method 300 and/or the mobile device start-up and shut-down monitoring method 400 of the present invention to calculate a start-up and shut-down threshold thereof from historical acceleration data of the mobile device and to determine a real-time start-up and shut-down status of the device by comparing the real-time acceleration data to the start-up and shut-down thresholds.
FIG. 3 illustrates a flow diagram of a method 300 for determining a plant start-up and shut-down threshold in accordance with one embodiment of the present invention. The method 300 is executed in a computing device (e.g., the computing device 200) for calculating a start-up threshold of the mobile device according to historical acceleration data of the mobile device, and the calculated start-up threshold is used for judging a start-up state of the mobile device by comparing with a real-time acceleration effective value of the mobile device. As shown in fig. 3, the method 300 begins at step S310.
In step S310, a plurality of effective values of the historical acceleration of the mobile device are acquired.
According to one embodiment, the effective acceleration value is a root mean square of a plurality of vibration acceleration values acquired by the acceleration sensor within a preset time period.
The preset time period can be set by a person skilled in the art according to actual conditions, and the present invention is not limited to this. For example, the preset time period may be set to 1 minute, 2 minutes, 1 hour, 2 hours, or the like. The acceleration sensor collects the vibration acceleration data of the equipment according to a set sampling frequency, wherein the sampling frequency can be 51200 times/s, 25600 times/s and the like, but is not limited to the above. According to the set sampling frequency, the acceleration sensor can acquire a plurality of vibration acceleration values within a preset time length, and the root mean square of the vibration acceleration values is an acceleration effective value.
For example, the preset time duration is 2 hours, and the sampling frequency is 51200 times/s, then the acceleration sensor acquires 2 × 60 × 51200 vibration acceleration values in total within the preset time duration, and the root mean square of the 2 × 60 × 51200 vibration acceleration values is the effective acceleration value for the 2 hours.
Specifically, root Mean Square (RMS) refers to the square Root of the Mean of the squares of a set of data. Correspondingly, the effective value a of the acceleration within the preset time length RMS Calculated according to the following formula:
wherein n is the number of the vibration acceleration values collected in the preset time length, x i Is the ith vibration acceleration value.
According to the method, each preset time corresponds to one acceleration effective value, and accordingly, the historical acceleration effective values of a plurality of preset times are collected to obtain a plurality of historical acceleration effective values. For example, when the preset time period is set to 2 hours, 24/2=12 effective acceleration values can be calculated every day according to the historical vibration acceleration data. Taking 3 months of the effective value of the historical acceleration to participate in the calculation of the start-stop threshold value, that is, in step S310, 3 × 30 × 12=1080 effective values of the historical acceleration of the mobile device are obtained.
After the step S310 obtains the effective values of the multiple historical accelerations of the mobile device, the step S320 is executed.
In step S320, the above-mentioned plurality of effective values of the historical acceleration are grouped into two types.
Step S320 integrates the plurality of valid values of the historical acceleration acquired in step S310 into two types, which respectively represent startup and shutdown.
It should be noted that the present invention does not limit the specific clustering algorithm adopted in step S320, and any clustering algorithm is within the scope of the present invention. The clustering algorithm may be, for example, but not limited to, a k-means algorithm, a DBSCAN algorithm, etc.
After the step S320 has collected the plurality of effective values of the historical acceleration into two types, the step S330 is executed.
In step S330, the average of the class centers of the two classes is used as the shutdown start-up threshold.
Class center of a class is the average of all data in that class. Accordingly, in the embodiment of the present invention, the plurality of historical acceleration effective values are grouped into two classes, and the class center of each class is the average value of all the acceleration effective values in the class. After the two class centers are calculated, the average value of the two class centers is further calculated to serve as the start-stop threshold value of the movable equipment.
According to an embodiment, after the shutdown start-up threshold is calculated in step S330, an evaluation coefficient of the shutdown start-up threshold is further calculated for evaluating a classification effect of the shutdown start-up threshold. The evaluation coefficient of the start-stop threshold is the ratio of the absolute value of the difference between the start-stop threshold and the class center of the corresponding two classes, i.e. the evaluation coefficient r of the start-stop threshold 1 Calculated according to the following formula:
wherein, thd 1 For the start-up and shut-down threshold calculated in step S330, c 1 、c 2 Class centers of the two classes gathered in step S320, respectively.
Evaluation factor r 1 The smaller the value of (A), the better the classification effect of the start-stop threshold value is; evaluation factor r 1 The larger the value of (a) is, the worse the classification effect of the start-stop threshold value is.
According to one embodiment, the method 300 further includes the following step of modifying the shutdown start-up threshold calculated in step S330: performing Fourier transform on a time domain curve formed by the plurality of historical acceleration effective values in the step S310 to obtain a vibration acceleration frequency spectrum; the amplitude values of the frequency components in the preset frequency range are gathered into two types; and taking the average value of the class centers of the two classes as a start-stop threshold reference value. And correcting the start-up and shutdown threshold calculated in the step S330 according to the start-up and shutdown threshold reference value.
For example, in step S310, it is set that one acceleration effective value is calculated every 2 hours, and the acceleration effective values for 3 months in the history are taken to be involved in the calculation, that is, 3 × 30 × 12=1080 acceleration effective values are total. The 1080 effective acceleration values are arranged in time sequence to obtain a time domain curve of the effective acceleration values, wherein the horizontal axis (x axis) of the curve is time, and the vertical axis (y axis) of the curve is the effective acceleration value. And carrying out Fourier transformation on the time domain curve to obtain a vibration acceleration frequency spectrum. The horizontal axis (x axis) of the vibration acceleration frequency spectrum is frequency, and the vertical axis (y axis) is an acceleration effective value.
The vibration acceleration frequency spectrum comprises a plurality of frequency components, and the amplitudes of the frequency components in a preset frequency range are grouped into two types. The preset frequency range may be set by a person skilled in the art according to the vibration condition of the mobile device during operation, and is generally a vibration frequency band during normal operation of the mobile device. For example, the preset frequency range may be set to 500 to 4000Hz, or 1000 to 3000Hz, or the like, depending on the operation of the mobile device. The clustering algorithm may be, for example, a k-means algorithm, a DBSCAN algorithm, etc., and the present invention does not limit the clustering algorithm used for clustering the amplitudes of the frequency components.
After the amplitudes of the frequency components in the preset frequency range are grouped into two classes, the class center of each class can be calculated, that is, the average value of the amplitudes included in each class is calculated. Further, calculating the average value of the two class centers, and taking the average value of the two class centers as the starting and stopping threshold reference value thd 2 。
According to one embodiment, the shutdown start-up threshold reference value thd is calculated 2 And then, further calculating an evaluation coefficient of the shutdown starting threshold reference value, wherein the evaluation coefficient is used for evaluating the classification effect of the shutdown starting threshold reference value. The evaluation coefficient of the start-stop threshold reference value is the ratio of the start-stop threshold reference value to the absolute value of the difference between the class centers of the corresponding two classes, i.e. the evaluation coefficient r of the start-stop threshold reference value 2 Calculated according to the following formula:
wherein, thd 2 For the start-stop threshold reference value, a 1 、a 2 The class centers of the two classes obtained by clustering the amplitudes of the frequency components within the preset frequency range are respectively obtained.
Evaluation factor r 2 The smaller the value of (A) is, the better the classification effect of the start-stop threshold value reference value is; evaluation factor r 2 The larger the value of (a) is, the less effective the classification of the break-stop threshold reference value is.
According to one embodiment, if the proportion of the evaluation coefficient of the start-stop threshold reference value lower than the evaluation coefficient of the start-stop threshold reaches a preset threshold, the start-stop threshold reference value is used as the start-stop threshold. If the evaluation coefficient of the start-stop threshold reference value is higher than the evaluation coefficient of the start-stop threshold, or the ratio of the evaluation coefficient of the start-stop threshold reference value lower than the evaluation coefficient of the start-stop threshold does not reach the preset threshold, the start-stop threshold calculated in step S330 is still adopted, and the correction is not needed.
The preset threshold can be set by a person skilled in the art, and the value of the preset threshold is not limited by the invention. In one embodiment, the preset threshold may be set to 20%, for example. I.e. the evaluation coefficient r of the reference value of the shutdown threshold when starting 2 Evaluation coefficient r of start-stop threshold 1 When the lower limit is more than 20%, the shutdown threshold value thd is started 1 Corrected to the shutdown-on threshold reference value thd 2 . On the contrary, if the evaluation coefficient r of the start-stop threshold reference value 2 Evaluation coefficient r higher than start-stop threshold 1 Or r is 2 Lower than r 1 But not as low as 20%, there is no need for the shutdown threshold thd 1 Make corrections, i.e. still use the start-stop threshold thd calculated in step S330 1 。
The method 300 can calculate a shutdown and start-up threshold for a mobile device based on historical acceleration data for the mobile device. The mobile unit start-stop monitoring method 400 of the present invention may be implemented based on the start-stop threshold calculated by the method 300 to automatically identify real-time start-stop conditions of the mobile unit.
FIG. 4 illustrates a flow diagram of a plant start-up and shut-down monitoring method 400 according to one embodiment of the invention. The method 400 is performed in a computing device (e.g., the aforementioned computing device 200) for determining a real-time start-up and shut-down status of a plant by comparing real-time acceleration data to a start-up and shut-down threshold based on the start-up and shut-down thresholds of the plant. As shown in fig. 4, the method 400 begins at step S410.
In step S410, a real-time effective acceleration value of each measurement point is obtained.
As mentioned above, the mobile equipment comprises a plurality of measuring points, each measuring point is provided with an acceleration sensor, and the acceleration sensors are suitable for acquiring the vibration acceleration of the corresponding measuring points.
In step S410, a plurality of vibration acceleration values acquired by the acceleration sensor of each measuring point within the current preset time period are obtained, and a real-time acceleration effective value of each measuring point can be calculated according to the vibration acceleration values, where the real-time acceleration effective value is a root-mean-square of the plurality of vibration acceleration values acquired by the acceleration sensor within the current preset time period.
The preset time period can be set by a person skilled in the art according to actual conditions, and the present invention is not limited to this. It should be noted that the preset time period may be the same as or different from the preset time period described in the foregoing step S310.
According to an embodiment, in order to realize the real-time monitoring of the start-stop state of the mobile device, the preset time period in step S410 may be set to be shorter, for example, to be 1 second, 5 seconds, 30 seconds, 1 minute, or the like. The acceleration sensor collects the vibration acceleration data of the equipment according to a set sampling frequency, and the sampling frequency can be 51200 times/s, 25600 times/s and the like, but is not limited to the above. According to the set sampling frequency, the acceleration sensor can acquire a plurality of vibration acceleration values within a preset time length, and the Root Mean Square (RMS) of the vibration acceleration values acquired within the preset time length is the effective acceleration value of the corresponding measuring point.
For example, the preset time length is 5s, and the sampling frequency is 51200 times/s, then 5 × 51200 vibration acceleration values are collected by the acceleration sensor of a certain measuring point in the current 5s, and the root mean square of the 5 × 51200 vibration acceleration values is the current real-time acceleration effective value of the measuring point.
After the current effective acceleration value of each measurement point is obtained in step S410, step S420 is executed.
In step S420, a ratio of the measurement points with the acceleration effective value greater than or equal to a preset start-stop threshold is calculated. Wherein the shutdown initiation threshold is calculated according to the method 300.
For example, the device to be measured has 5 measuring points, wherein 3 measuring points have an acceleration effective value greater than or equal to the start-stop threshold, and the ratio of the measuring points having an acceleration effective value greater than or equal to the preset start-stop threshold is 3/5=0.6.
Subsequently, in step S430, the start-stop state of the mobile equipment is determined according to the proportion of the measurement points of which the acceleration effective value calculated in step S420 is greater than or equal to the preset start-stop threshold. When the ratio is larger than or equal to a preset measuring point ratio threshold value, judging that the mobile equipment is in a starting state; otherwise, the mobile equipment is judged to be in a shutdown state.
The measuring point proportion threshold value can be set by a person skilled in the art, and the value of the measuring point proportion threshold value is not limited by the invention. For example, in one embodiment, the station scale threshold can be set to 1/3. Correspondingly, if the ratio calculated in the step S420 is greater than or equal to 1/3, it is determined that the mobile device is currently in a start-up state; and if the ratio calculated in the step S420 is less than 1/3, judging that the mobile equipment is in a stop state currently.
According to the technical scheme, the start-stop threshold value of the mobile equipment is calculated through historical acceleration data of the mobile equipment, and the real-time start-stop state of the mobile equipment is determined by comparing the real-time acceleration data with the start-stop threshold value. The vibration acceleration sensor is a sensor commonly used in industrial production, and has low cost and high popularity, so the monitoring scheme for the starting and stopping states of the moving equipment has strong practicability.
The technical scheme of the invention realizes the accurate identification of the starting and stopping state of the movable equipment, can provide reliable data support for the calculation of key indexes such as the running time of the equipment, the service life of the equipment, the interval time without fault and the like, strengthens the fine management of enterprises on the equipment, improves the management level of the equipment, and further reduces the loss caused by the unplanned stopping of the equipment.
A11, a readable storage medium storing program instructions that, when read and executed by a computing device, cause the computing device to perform the method of any of A1-6 and/or the method of any of A7-9.
The various techniques described herein may be implemented in connection with hardware or software or, alternatively, with a combination of both. Thus, the methods and apparatus of the present invention, or certain aspects or portions thereof, may take the form of program code (i.e., instructions) embodied in tangible media, such as removable hard drives, U.S. disks, floppy disks, CD-ROMs, or any other machine-readable storage medium, wherein, when the program is loaded into and executed by a machine, such as a computer, the machine becomes an apparatus for practicing the invention.
In the case of program code execution on programmable computers, the computing device will generally include a processor, a storage medium readable by the processor (including volatile and non-volatile memory and/or storage elements), at least one input device, and at least one output device. Wherein the memory is configured to store program code; the processor is configured to perform the method for determining a trip device start-up threshold and/or the method for monitoring a trip device start-up of the present invention according to instructions in the program code stored in the memory.
By way of example, and not limitation, readable media may comprise readable storage media and communication media. Readable storage media store information such as computer readable instructions, data structures, program modules or other data. Communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media. Combinations of any of the above are also included within the scope of readable media.
In the description provided herein, algorithms and displays are not inherently related to any particular computer, virtual system, or other apparatus. Various general purpose systems may also be used with examples of this invention. The required structure for constructing such a system will be apparent from the description above. Moreover, the present invention is not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose preferred embodiments of the invention.
In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules or units or components of the devices in the examples disclosed herein may be arranged in a device as described in this embodiment, or alternatively may be located in one or more devices different from the device in this example. The modules in the foregoing examples may be combined into one module or may additionally be divided into multiple sub-modules.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components in the embodiments may be combined into one module or unit or component, and furthermore, may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
Additionally, some of the embodiments are described herein as a method or combination of method elements that can be implemented by a processor of a computer system or by other means of performing the described functions. A processor having the necessary instructions for carrying out the method or method elements thus forms a means for carrying out the method or method elements. Further, the elements of the apparatus embodiments described herein are examples of the following apparatus: the apparatus is used to implement the functions performed by the elements for the purpose of carrying out the invention.
As used herein, unless otherwise specified the use of the ordinal adjectives "first", "second", "third", etc., to describe a common object, merely indicate that different instances of like objects are being referred to, and are not intended to imply that the objects so described must be in a given sequence, either temporally, spatially, in ranking, or in any other manner.
While the invention has been described with respect to a limited number of embodiments, those skilled in the art, having benefit of this description, will appreciate that other embodiments can be devised which do not depart from the scope of the invention as described herein. Moreover, it should be noted that the language used in the specification has been principally selected for readability and instructional purposes, and may not have been selected to delineate or circumscribe the inventive subject matter. Accordingly, many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the appended claims. The present invention has been disclosed in an illustrative rather than a restrictive sense with respect to the scope of the invention, as defined in the appended claims.
Claims (7)
1. A method for determining a start-up threshold of a movable device, executed in a computing device, the start-up threshold being used for judging a start-up state of the movable device by comparing with a real-time effective acceleration value of the movable device, the method comprising:
obtaining a plurality of historical acceleration effective values of the mobile equipment;
the effective values of the multiple historical accelerations are gathered into two types, and the two types respectively represent startup and shutdown;
taking the average value of the class centers of the two classes as the start-stop threshold value;
carrying out Fourier transformation on a time domain curve consisting of the plurality of historical acceleration effective values to obtain a vibration acceleration frequency spectrum;
the amplitude values of the frequency components in the preset frequency range are gathered into two types;
taking the average value of the class centers of the two classes as a starting and stopping threshold value reference value;
and if the proportion of the evaluation coefficient of the start-stop threshold reference value lower than the evaluation coefficient of the start-stop threshold reaches a preset threshold, taking the start-stop threshold reference value as the start-stop threshold, wherein the evaluation coefficient of the start-stop threshold reference value is used for evaluating the classification effect of the start-stop threshold reference value, and the evaluation coefficient of the start-stop threshold is used for evaluating the classification effect of the start-stop threshold.
2. The method of claim 1, wherein the effective acceleration value is a root mean square of a plurality of vibration acceleration values acquired by the acceleration sensor within a preset time period.
3. The method of claim 1 or 2, further comprising the step of:
and taking the ratio of the absolute value of the difference between the start-stop threshold and the class centers of the two corresponding classes as an evaluation coefficient of the start-stop threshold.
4. The method of claim 1 or 2, further comprising the step of:
and taking the ratio of the absolute value of the difference between the start-stop threshold reference value and the class centers of the two corresponding classes as an evaluation coefficient of the start-stop threshold reference value.
5. A movable equipment start-stop monitoring method is executed in computing equipment, the movable equipment comprises a plurality of measuring points, each measuring point is respectively provided with an acceleration sensor, the acceleration sensors are suitable for collecting vibration acceleration of the corresponding measuring points, and the method comprises the following steps:
acquiring a real-time acceleration effective value of each measuring point;
calculating the proportion of the measuring points with the acceleration effective value being more than or equal to a preset start-stop threshold value, wherein the start-stop threshold value is determined according to the method as claimed in any one of claims 1 to 4;
when the ratio is greater than or equal to a preset measuring point ratio threshold, judging that the movable equipment is in a startup state; otherwise, judging that the mobile equipment is in a shutdown state.
6. The method of claim 5, wherein the real-time effective acceleration value is a root mean square of a plurality of vibration acceleration values acquired by the acceleration sensor within a current preset time period.
7. A computing device, comprising:
at least one processor and a memory storing program instructions;
the program instructions, when read and executed by the processor, cause the computing device to perform the method of any of claims 1-4 and/or the method of any of claims 5-6.
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