CN113264426B - Data identification method and device for fixed lifting equipment and readable storage medium - Google Patents
Data identification method and device for fixed lifting equipment and readable storage medium Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B1/00—Control systems of elevators in general
- B66B1/24—Control systems with regulation, i.e. with retroactive action, for influencing travelling speed, acceleration, or deceleration
- B66B1/28—Control systems with regulation, i.e. with retroactive action, for influencing travelling speed, acceleration, or deceleration electrical
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B1/00—Control systems of elevators in general
- B66B1/34—Details, e.g. call counting devices, data transmission from car to control system, devices giving information to the control system
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B5/00—Applications of checking, fault-correcting, or safety devices in elevators
- B66B5/0006—Monitoring devices or performance analysers
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Abstract
The invention discloses a data identification method, equipment and a readable storage medium of fixed lifting equipment, wherein the data identification method comprises the following steps: s10, presetting a running state judgment threshold value of the fixed lifting equipment; s20, acquiring vibration data of the fixed lifting equipment in an identification period; and S30, detecting the vibration data according to the operation state judgment threshold value so as to mark a plurality of operation states of the fixed lifting equipment in the vibration data. The invention sets the running state judgment threshold value related to the fixed lifting equipment parameters, so that the method has the universality of different fixed lifting equipment applications, can accurately mark the running state of the fixed lifting equipment where each vibration data is located according to the running state judgment threshold value, and provides reliable data input for subsequent data applications.
Description
Technical Field
The invention belongs to the field of equipment fault detection, and particularly relates to a data identification method and equipment for fixed lifting equipment and a readable storage medium.
Background
Along with the increase of high-rise buildings, fixed lifting equipment becomes an indispensable vertical transportation tool for people day by day, the probability of generating faults can be obviously improved along with the accumulation of the running time of the fixed lifting equipment, the faults of the fixed lifting equipment easily generate serious consequences, but the types of the faults of the fixed lifting equipment are various, equipment parts causing the faults are different, the time and labor are wasted when field investigation is carried out by maintenance personnel after the fixed lifting equipment generates failure faults, and huge resource waste is caused.
At present, the health state of fixed lifting equipment is judged mainly based on vibration data, the fixed lifting equipment belongs to mechanical equipment with periodic motion, the running data of the fixed lifting equipment presents an obvious period and is divided into four running states of a static section, an acceleration section, a constant speed section and a deceleration section, and the constant speed section data is usually selected for analysis, so that the identification of the running state of the vibration data of the fixed lifting equipment is the problem to be solved firstly for realizing the health state evaluation of the fixed lifting equipment.
At present, a method for evaluating the health state of a fixed lifting device is based on an acceleration signal generated in the running process of the fixed lifting device, after noise reduction is performed in a wavelet modulus maximum mode, trend-removing processing is performed on data for eliminating the influence generated in the acceleration process and the deceleration process in the running process of the fixed lifting device, and then a health degree evaluation model is established by using the processed data, but the method has the main defects that: the influence of acceleration and deceleration processes in the operation process of the fixed lifting equipment cannot be completely removed, and negative influence can be generated on subsequent modeling; the vibration generated by opening and closing the door of the fixed lifting equipment at the static section of the car cannot be removed, and the subsequent analysis on the running health state of the car of the fixed lifting equipment is also unfavorable.
Disclosure of Invention
The invention provides a data identification method and device of fixed lifting equipment and a readable storage medium, aiming at overcoming the defect that the influence of the acceleration process and the deceleration process of the fixed lifting equipment in the running process and the vibration of a static section of a car caused by opening and closing a door of the fixed lifting equipment cannot be completely removed in the prior art.
The invention solves the technical problems through the following technical scheme:
a data identification method of a stationary lifting device, the data identification method comprising:
s10, presetting a running state judgment threshold value of the fixed lifting equipment;
s20, obtaining vibration data of the fixed lifting equipment in an identification period;
and S30, detecting the vibration data according to the running state judgment threshold value so as to mark a plurality of running states of the fixed lifting equipment in the vibration data.
Preferably, step S10 specifically includes:
and presetting the running state judgment threshold according to the equipment parameters of the fixed lifting equipment.
Preferably, after step S20, the data identification method further includes:
s21, detecting whether the vibration data are complete cycle data or not, wherein the complete cycle data comprise vibration data of at least one complete cycle, and if so, executing a step S30;
wherein, the fixed lifting device starts to run from the stop at the initial floor and stops at the target floor for a complete period;
step S30 specifically includes:
and detecting the complete period data according to the running state judgment threshold value so as to mark a plurality of running states of the fixed lifting equipment.
Preferably, the vibration data includes vertical acceleration data in a direction perpendicular to the horizontal plane, and if the determination result in step S21 is yes, step S22 is executed first, which specifically includes:
s22, calculating to obtain acceleration judgment data of the fixed lifting equipment according to vertical acceleration data in the complete period data;
s23, positioning static segment data in the complete cycle data according to the acceleration judging data, wherein the static segment data are vibration data of the acceleration judging data within an acceleration threshold range in a preset time period; the running state judgment threshold comprises the preset time period and the acceleration threshold range;
s24, eliminating vibration data before the first section of static section data and vibration data after the last section of static section data in each complete period data to generate pure period data, and then executing the step S30;
step S30 specifically includes:
and detecting the pure periodic data according to the operating state judgment threshold value so as to mark a plurality of operating states of the fixed lifting equipment.
Preferably, after step S24, step S25 is executed first, and the method specifically includes:
s25, obtaining speed data of the fixed lifting equipment according to the vertical acceleration data of the pure periodic data;
s26, judging whether the speed data corresponding to the static segment data is in a preset speed threshold range, and if not, executing a step S27;
s27, determining that the static section data is missing, filtering pure periodic data with missing static section data to obtain normal vibration data, and then executing a step S30;
step S30 specifically includes:
and detecting the normal vibration data according to the operating state judgment threshold value so as to mark a plurality of operating states of the fixed lifting equipment.
It should be noted that, in the processes of steps S21 to S27, incomplete data in the vibration data is filtered, data before and after a static segment in the data is removed, and data with a missing static segment is filtered, and in actual operation, the three are not in a strict sequence relationship. Preferably, step S30 specifically includes:
s301, calculating to obtain updated acceleration judgment data of the fixed lifting equipment according to the vertical acceleration data in the normal vibration data;
s302, marking a static section label on the vibration data of which the updated acceleration judgment data is in the acceleration threshold range and the speed data is in a preset speed threshold range; and/or marking the vibration data of which the updated acceleration judgment data is within the acceleration threshold range and the speed data is greater than a first preset speed threshold with an upward constant speed section label; and/or marking a downward constant speed section label for the vibration data of which the updated acceleration judgment data is within the acceleration threshold range and the speed data is smaller than a second preset speed threshold;
wherein the operation state judgment threshold includes the preset speed threshold range, the first preset speed threshold, and the second preset speed threshold.
Preferably, after step S302, the data identification method further includes:
s303, splitting the normal vibration data into a static segment, an upward constant-speed segment, a downward constant-speed segment and a plurality of data segments to be marked according to the static segment tag, the upward constant-speed segment tag and the downward constant-speed segment tag;
s304, marking a downward acceleration section label on the vibration data of which the updated acceleration judgment data is less than 0 and the speed data is less than 0; and/or marking a downward deceleration section label for the vibration data of which the updated acceleration judgment data is greater than 0 and the speed data is less than 0; and/or marking an upward acceleration section label for the vibration data of which the updated acceleration judgment data is greater than 0 and the speed data is greater than 0; and/or marking an upward deceleration section label on the vibration data of which the updated acceleration judgment data is less than 0 and the speed data is greater than 0.
Preferably, before step S304, the data identification method further includes:
s3031, detecting whether the time length of the data segment to be marked is greater than a first preset time threshold, if so, executing a step S304, otherwise, executing a step S3032; wherein the operation state judgment threshold comprises the first preset time threshold;
s3032, selecting the previous label adjacent to the data segment to be marked to mark the data segment to be marked.
Preferably, after step S30, the data identification method further includes:
s40, dividing vibration data between two adjacent static section labels into single-period data;
s50, detecting whether the single-cycle data is normal or not, and if not, filtering normal vibration data containing abnormal single-cycle data;
wherein, the normal single-cycle data specifically includes:
the movement directions of the single-period data are consistent, the single-period data comprise three operation stages of acceleration, constant speed and deceleration, the time length of an acceleration section and the time length of a deceleration section in the single-period data are both greater than a second preset time threshold, and the operation state judgment threshold comprises the second preset time threshold.
An electronic device 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 computer program to realize the data identification method of the fixed lifting device.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the above-mentioned data identification method for a stationary hoisting device.
The positive progress effects of the invention are as follows: the invention sets the running state judgment threshold value related to the fixed lifting equipment parameters, so that the method has the universality of different fixed lifting equipment applications, in addition, the method can accurately divide the whole multi-period vibration data into individual periods, meanwhile, the data screening step is embedded, the data is cleaned in the dividing process, finally, the single period is divided to accurately mark the running state of the fixed lifting equipment where each vibration data is located, reliable data input is provided for subsequent data application, and for example, uniform-speed segment data which can more accurately reflect the running health degree of the fixed lifting equipment is conveniently and subsequently screened.
Drawings
Fig. 1 is a flowchart of a data identification method for a fixed type lifting device according to embodiment 1 of the present invention.
Fig. 2 is a flowchart of a data identification method for a fixed type lifting device according to embodiment 2 of the present invention.
Fig. 3 is a flowchart of step 30 of a data identification method for a fixed type lifting device according to embodiment 2 of the present invention.
Fig. 4 is a flowchart of step 30 of the data identification method of the fixed type lifting device according to embodiment 3 of the present invention.
Fig. 5 is a flowchart of a data identification method for a fixed type lifting device according to embodiment 3 of the present invention.
Fig. 6 is a schematic structural diagram of an electronic device according to embodiment 4 of the present invention.
Detailed Description
The invention is further illustrated by the following examples, which are not intended to limit the scope of the invention.
Example 1
A data identification method of a fixed lifting device, as shown in fig. 1, the data identification method includes:
s10, presetting a running state judgment threshold value of the fixed lifting equipment; specifically, the operation state judgment threshold is preset according to the device parameter of the fixed lifting device, in practical application, before the fixed lifting device is put into use, the fixed lifting device is tested and operated, and the operation state judgment threshold is preset according to the test data in normal operation and the device parameter, such as acceleration thresholds of different operation stages, speed thresholds of different operation stages, operation thresholds of different operation stages and the like of the fixed lifting device in a static state.
S20, obtaining vibration data of the fixed lifting equipment in an identification period; it should be noted that, the embodiment of obtaining vibration data is not limited, and preferably, the wireless three-axis vibration sensor is installed to obtain original vibration data, one or more three-axis vibration sensors are installed on the fixed type lifting equipment to obtain real-time vibration data generated in the operation process of the fixed type lifting equipment, the vibration data in the horizontal direction is set to be X and Y, the data in the direction perpendicular to the horizontal plane is set to be Z, and the real-time vibration data is stored as a data file at intervals.
And S30, detecting the vibration data according to the running state judgment threshold value so as to mark a plurality of running states of the fixed lifting equipment in the vibration data. The running state marks can be an upward acceleration section, an upward constant speed section, an upward deceleration section, a downward acceleration section, a downward constant speed section, a downward deceleration section and a floor stop static section.
In this embodiment, the operation state judgment threshold related to the fixed lifting device parameter is set, so that the method has universality of different fixed lifting device applications, the operation state of the fixed lifting device where each vibration data is located can be accurately marked according to the operation state judgment threshold, and reliable data input is provided for subsequent data applications.
Example 2
The data identification method of the fixed lifting device in this embodiment is further improved on the basis of embodiment 1, as shown in fig. 2, after step S20, the data identification method further includes:
s21, detecting whether the vibration data are complete cycle data, and if so, executing a step S22; if not, selecting the next vibration data to continue the detection; wherein the complete cycle data comprises at least one complete cycle of vibration data, and the complete cycle is from stopping at a starting floor to running and stopping at a target floor;
s22, calculating to obtain acceleration judgment data of the fixed lifting equipment according to vertical acceleration data in the complete period data; the acceleration evaluation data is obtained by performing sliding mean filtering on data Z (acceleration data) vertical to the horizontal plane direction and then removing the mean, and the value can also be used for compensating the influence of gravity acceleration and sensor null shift.
S23, positioning static segment data in the complete period data according to the acceleration evaluation data; the static segment data is vibration data of the acceleration judging data within an acceleration threshold range in a preset time period; wherein the operation state judgment threshold comprises the preset time period and the acceleration threshold range, and the preset time period is
The minimum value of the time length of a static period in test data for normal operation of the equipment, f is the sampling frequency of the sensor, and the acceleration threshold range is->
The maximum value of Z of the static segment in the test data of the normal operation of the equipment;
s24, eliminating vibration data before the first section of static section data and vibration data after the last section of static section data in each complete period data to generate pure period data;
s25, obtaining speed data of the fixed lifting equipment according to the vertical acceleration data of the pure periodic data; and the speed data is obtained by performing integral solution on the acceleration judgment data.
S26, judging whether the speed data corresponding to the static segment data is in a preset speed threshold range, if not, executing a step S27, and if so, executing a step S30 to directly detect the pure period data; in this case, the speed corresponding to the stationary segment data should theoretically be 0, but there may be an influence of vibration or the like in actual operation, and the speed threshold range may be set to a value infinitely close to 0.
S27, determining that the static section data is missing, filtering pure periodic data with missing static section data to obtain normal vibration data, and then executing the step S30;
further, as shown in fig. 3, step S30 specifically includes:
s301, calculating to obtain updated acceleration judgment data of the fixed lifting equipment according to the vertical acceleration data in the normal vibration data;
s302, marking a static section label on the vibration data of which the updated acceleration judgment data is in the acceleration threshold range and the speed data is in a preset speed threshold range; marking an upward constant speed section label on the vibration data of which the updated acceleration judging data is in the acceleration threshold range and the speed data is greater than a first preset speed threshold; marking a downward constant speed section label on the vibration data of which the updated acceleration evaluation data is in the acceleration threshold range and the speed data is less than a second preset speed threshold; wherein the first preset speed threshold is
A second predetermined speed threshold value in>
The minimum value of the speed of the Z-axis uniform-speed operation section in the test data of the normal operation of the equipment is obtained.
Wherein the operation state judgment threshold includes the preset speed threshold range, the first preset speed threshold, and the second preset speed threshold.
S303, splitting the normal vibration data into a static segment, an upward uniform velocity segment, a downward uniform velocity segment and a plurality of data segments to be marked according to the static segment label, the upward uniform velocity segment label and the downward uniform velocity segment label;
s304, marking a downward acceleration section label on the vibration data of which the updated acceleration judgment data is less than 0 and the speed data is less than 0; marking a downward deceleration section label for the vibration data of which the updated acceleration evaluation data is greater than 0 and the speed data is less than 0; marking an upward acceleration section label on the vibration data of which the updated acceleration evaluation data is greater than 0 and the speed data is greater than 0; and marking an upward deceleration section label for the vibration data of which the updated acceleration evaluation data is less than 0 and the speed data is greater than 0.
In the embodiment, the whole multi-period vibration data can be accurately segmented into individual periods, meanwhile, a data screening step is embedded, the data are cleaned in the segmentation process, finally, the single period is segmented to accurately mark the running state of the fixed lifting equipment where each vibration data is located, and reliable data input is provided for subsequent data application, for example, uniform-speed segment data which can reflect the running health degree of the fixed lifting equipment more accurately can be conveniently and accurately screened.
Example 3
The data identification method of the fixed type lifting device in this embodiment is further improved on the basis of embodiment 2, as shown in fig. 4, before step S304, the data identification method further includes:
s3031, detecting whether the time length of the data segment to be marked is greater than a first preset time threshold, if so, executing a step S304, otherwise, executing a step S3032; wherein the operation state judgment threshold comprises the first preset time threshold; wherein the first predetermined time threshold is
For a minimum value of the time length of an acceleration period in test data for the normal operation of the apparatus>
The minimum value of the time length of the deceleration section in the test data of the normal operation of the equipment.
S3032, selecting the previous label adjacent to the data segment to be marked to mark the data segment to be marked.
As shown in fig. 5, after step S30, the data identification method further includes:
s40, dividing vibration data between two adjacent static section labels into single-period data;
s50, detecting whether the single-cycle data is normal or not, if not, executing a step S60, and if so, executing a step S70;
s60, filtering normal vibration data containing abnormal single-cycle data;
and S70, storing the marked vibration data.
Wherein, the normal single-cycle data specifically includes:
the movement directions of the single-period data are consistent, the single-period data comprise three operation stages of acceleration, constant speed and deceleration, the time length of an acceleration section and the time length of a deceleration section in the single-period data are both greater than a second preset time threshold, and the operation state judgment threshold comprises the second preset time threshold. Wherein the second predetermined time threshold is
w is a coefficient between 0 and 1.
In addition, after all the vibration data are processed, the average value of the static segment data is counted to obtain the null shift value of the data, and the specific calculation steps are as follows: averaging the stationary segment data Z in the normal vibration data to obtain E i To E, for i And removing outliers according to a 3 sigma criterion, averaging the data from which the outliers are removed to obtain a null shift value of the vibration data, wherein the null shift value is used for compensating null shift errors of the divided original data and removing errors caused by the null shift of the vibration sensor.
In this embodiment, after all data are marked, the data are segmented in a single cycle, the data in each single cycle are finally checked based on a marked label, when each single cycle data includes three operation stages of acceleration, constant speed and deceleration, the time length of an acceleration section and the time length of a deceleration section in the single cycle data meet requirements, and the movement directions of the single cycle data are consistent (that is, the data includes upward acceleration, upward constant speed and upward deceleration, or includes downward acceleration, downward constant speed and downward deceleration), it is determined that the cycle data is normal, and if the cycle data is not normal, the cycle data is discarded, and finally only the vibration data which accurately reflects the normal operation health degree of the fixed lifting equipment is retained, so as to provide reliable data input for subsequent data application.
Example 4
An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor executes the computer program to implement the method of data identification of a stationary lifting device as described in any of embodiments 1-3.
Fig. 6 is a schematic structural diagram of an electronic device provided in this embodiment. Fig. 6 illustrates a block diagram of an exemplary electronic device 90 suitable for use in implementing embodiments of the present invention. The electronic device 90 shown in fig. 6 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiment of the present invention.
As shown in fig. 6, the electronic device 90 may take the form of a general purpose computing device, which may be a server device, for example. The components of the electronic device 90 may include, but are not limited to: at least one processor 91, at least one memory 92, and a bus 93 that connects the various system components (including the memory 92 and the processor 91).
The bus 93 includes a data bus, an address bus, and a control bus.
The processor 91 executes various functional applications and data processing by running a computer program stored in the memory 92.
The electronic device 90 may also communicate with one or more external devices 94 (e.g., keyboard, pointing device, etc.). Such communication may be through an input/output (I/O) interface 95. Also, the electronic device 90 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet) via a network adapter 96. The network adapter 96 communicates with the other modules of the electronic device 90 via the bus 93. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the electronic device 90, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID (disk array) systems, tape drives, and data backup storage systems, etc.
It should be noted that although in the above detailed description several units/modules or sub-units/modules of the electronic device are mentioned, such a division is merely exemplary and not mandatory. Indeed, the features and functionality of two or more of the units/modules described above may be embodied in one unit/module, according to embodiments of the application. Conversely, the features and functions of one unit/module described above may be further divided into embodiments by a plurality of units/modules.
Example 5
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method of data identification of a stationary hoisting device according to any one of embodiments 1 to 3.
More specific examples, among others, that the readable storage medium may employ may include, but are not limited to: a portable disk, hard disk, random access memory, read only memory, erasable programmable read only memory, optical storage device, magnetic storage device, or any suitable combination of the foregoing.
In a possible implementation, the invention may also be implemented in the form of a program product comprising program code means for causing a terminal device to carry out the steps of implementing the method for data identification of a stationary hoisting device according to any one of embodiments 1 to 3, when said program product is run on the terminal device.
Where program code for carrying out the invention is written in any combination of one or more programming languages, the program code may be executed entirely on the user device, partly on the user device, as a stand-alone software package, partly on the user device and partly on a remote device or entirely on the remote device.
While specific embodiments of the invention have been described above, it will be appreciated by those skilled in the art that this is by way of example only, and that the scope of the invention is defined by the appended claims. Various changes or modifications to these embodiments may be made by those skilled in the art without departing from the principle and spirit of this invention, and these changes and modifications are within the scope of this invention.
Claims (8)
1. A data identification method of a fixed lifting device is characterized by comprising the following steps:
s10, presetting a running state judgment threshold value of the fixed lifting equipment;
s20, acquiring vibration data of the fixed lifting equipment in an identification period;
s30, detecting the vibration data according to the operation state judgment threshold value so as to mark a plurality of operation states of the fixed lifting equipment in the vibration data;
the step S10 specifically includes:
presetting the operation state judgment threshold according to the equipment parameters of the fixed lifting equipment;
after step S20, the data identification method further includes:
s21, detecting whether the vibration data are complete cycle data or not, wherein the complete cycle data comprise vibration data of at least one complete cycle, and if so, executing a step S30;
wherein, the fixed lifting equipment starts to run from the stopping at the initial floor and stops at the target floor for a complete period;
the vibration data includes vertical acceleration data in a direction perpendicular to the horizontal plane, and in step S21, if the determination result is yes, step S22 is executed first, which specifically includes:
s22, calculating to obtain acceleration judgment data of the fixed lifting equipment according to vertical acceleration data in the complete period data;
s23, positioning stationary segment data in the complete cycle data according to the acceleration judging data, wherein the stationary segment data are vibration data of the acceleration judging data within an acceleration threshold range in a preset time period; the running state judgment threshold comprises the preset time period and the acceleration threshold range;
s24, eliminating vibration data before the first section of static section data and vibration data after the last section of static section data in each complete period data to generate pure period data, and then executing the step S30;
step S30 specifically includes:
and detecting the pure periodic data according to the running state judgment threshold value, so as to segment and mark the running state of the fixed lifting equipment according to whether the acceleration data of the fixed lifting equipment is in the acceleration threshold value range and whether the speed of the fixed lifting equipment is in the preset speed threshold value range.
2. The method according to claim 1, wherein after step S24, step S25 is executed, and specifically includes:
s25, obtaining speed data of the fixed lifting equipment according to the vertical acceleration data of the pure periodic data;
s26, judging whether the speed data corresponding to the static segment data is in a preset speed threshold range, and if not, executing a step S27;
s27, determining that the static section data is missing, filtering pure periodic data with missing static section data to obtain normal vibration data, and then executing a step S30;
step S30 specifically includes:
and detecting the normal vibration data according to the operating state judgment threshold value so as to mark a plurality of operating states of the fixed lifting equipment.
3. The data identification method of the stationary lifting device according to claim 2, wherein step S30 specifically includes:
s301, calculating to obtain updated acceleration judgment data of the fixed lifting equipment according to the vertical acceleration data in the normal vibration data;
s302, marking a static segment label on the vibration data of which the updated acceleration judgment data is in the acceleration threshold range and the speed data is in a preset speed threshold range; and/or marking the vibration data of which the updated acceleration judgment data is within the acceleration threshold range and the speed data is greater than a first preset speed threshold with an upward constant speed section label; and/or marking a downward constant speed section label for the vibration data of which the updated acceleration judgment data is within the acceleration threshold range and the speed data is smaller than a second preset speed threshold;
wherein the operation state judgment threshold includes the preset speed threshold range, the first preset speed threshold, and the second preset speed threshold.
4. The method of claim 3, wherein after step S302, the method further comprises:
s303, splitting the normal vibration data into a static segment, an upward uniform velocity segment, a downward uniform velocity segment and a plurality of data segments to be marked according to the static segment label, the upward uniform velocity segment label and the downward uniform velocity segment label;
s304, marking a downward acceleration section label on the vibration data of which the updated acceleration judgment data is less than 0 and the speed data is less than 0; and/or marking a downward deceleration section label for the vibration data of which the updated acceleration judgment data is greater than 0 and the speed data is less than 0; and/or marking an upward acceleration section label on the vibration data of which the updated acceleration judgment data is greater than 0 and the speed data is greater than 0; and/or marking an upward deceleration section label for the vibration data of which the updated acceleration judgment data is less than 0 and the speed data is more than 0.
5. The method of claim 4, wherein prior to step S304, the method further comprises:
s3031, detecting whether the time length of the data segment to be marked is greater than a first preset time threshold, if so, executing a step S304, otherwise, executing a step S3032; wherein the operation state judgment threshold comprises the first preset time threshold;
s3032, selecting the previous label adjacent to the data segment to be marked to mark the data segment to be marked.
6. The data identification method of a stationary lifting device of claim 3, wherein after step S30, the data identification method further comprises:
s40, dividing vibration data between two adjacent static section labels into single-period data;
s50, detecting whether the single-cycle data is normal or not, and if not, filtering out normal vibration data containing abnormal single-cycle data;
wherein, the normal single-cycle data specifically includes:
the movement directions of the single-period data are consistent, the single-period data comprise three operation stages of acceleration, constant speed and deceleration, the time length of an acceleration section and the time length of a deceleration section in the single-period data are both greater than a second preset time threshold, and the operation state judgment threshold comprises the second preset time threshold.
7. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of data identification of a stationary lifting device according to any one of claims 1 to 6 when executing the computer program.
8. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, carries out the steps of the data identification method of a stationary lifting device according to any one of claims 1 to 6.
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