CN112850405B - Elevator car vibration management system based on MEMS system - Google Patents

Elevator car vibration management system based on MEMS system Download PDF

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CN112850405B
CN112850405B CN202011632100.8A CN202011632100A CN112850405B CN 112850405 B CN112850405 B CN 112850405B CN 202011632100 A CN202011632100 A CN 202011632100A CN 112850405 B CN112850405 B CN 112850405B
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vibration
elevator car
acceleration
mems
frequency
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CN112850405A (en
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吴德操
罗彬彬
巫涛江
余晓毅
柳朋
刘恩华
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Chongqing University of Technology
Chongqing Energy College
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Chongqing University of Technology
Chongqing Energy College
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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
    • B66B5/02—Applications of checking, fault-correcting, or safety devices in elevators responsive to abnormal operating conditions
    • B66B5/021—Applications of checking, fault-correcting, or safety devices in elevators responsive to abnormal operating conditions the abnormal operating conditions being independent of the system
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B66—HOISTING; LIFTING; HAULING
    • B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
    • B66B11/00—Main component parts of lifts in, or associated with, buildings or other structures
    • B66B11/02—Cages, i.e. cars
    • B66B11/026—Attenuation system for shocks, vibrations, imbalance, e.g. passengers on the same side
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B66—HOISTING; LIFTING; HAULING
    • B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
    • B66B11/00—Main component parts of lifts in, or associated with, buildings or other structures
    • B66B11/02—Cages, i.e. cars
    • B66B11/026—Attenuation system for shocks, vibrations, imbalance, e.g. passengers on the same side
    • B66B11/028—Active systems
    • 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
    • B66B5/0018—Devices monitoring the operating condition of the elevator system

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  • Engineering & Computer Science (AREA)
  • Civil Engineering (AREA)
  • Mechanical Engineering (AREA)
  • Structural Engineering (AREA)
  • Maintenance And Inspection Apparatuses For Elevators (AREA)
  • Indicating And Signalling Devices For Elevators (AREA)

Abstract

The invention relates to the technical field of elevator management, in particular to an elevator car vibration management system based on an MEMS system, which comprises: the MEMS monitoring module is used for acquiring and transmitting acceleration data of the elevator car; the route driving module is used for driving the elevator car to act and can receive and forward the acceleration data sent by the MEMS monitoring module; and the cloud server is used for receiving the acceleration data forwarded by the route driving module, then carrying out frequency separation processing on the acceleration data to obtain a corresponding high-frequency acceleration component and a corresponding low-frequency acceleration component, calculating and judging whether the elevator car has abnormal vibration information according to the high-frequency acceleration component and the low-frequency acceleration component, and sending a corresponding control signal to the route driving module when the abnormal vibration information exists. The elevator car vibration management system realizes the vibration abnormity judgment based on the MEMS system and the acceleration vibration frequency, so that the management effect on the elevator car vibration can be improved.

Description

Elevator car vibration management system based on MEMS system
Technical Field
The invention relates to the technical field of elevator management, in particular to an elevator car vibration management system based on an MEMS system.
Background
Elevators are important transportation devices serving today's high-rise buildings, and therefore have strict requirements on elevator performance, which can be summarized into four points: safety, reliability, comfort and flat layer accuracy. Safety, reliability and comfort are all closely related to vibration intensity in elevator operation, and vibration is the change of acceleration in nature.
Because the car type elevator has frequent starting acceleration and stopping deceleration processes in running, the acceleration and deceleration uniformity and the stability at a constant speed stage can be uniformly described by longitudinal vibration strength; the transverse vibration strength is related to the track clearance and can reflect the deformation of the track to a certain extent. Therefore, the vibration signal of the lift car in the running process of the elevator is detected in real time, the performance parameters of the elevator can be analyzed, and the running safety of the elevator and the riding experience of passengers can be guaranteed. Chinese patent publication No. CN1349927A discloses a method for compensating for vibrations in an elevator car, which comprises a sensor for detecting vibrations in the elevator car, a drive for driving a compensating block on the elevator car to move, and a control unit for interpreting the detected vibrations and controlling the drive. In this current scheme, detect elevator car's vibration through the sensor to compensate through the vibration of control unit to elevator car, can ensure elevator safety, steady, comfortable operation to a certain extent.
The method for compensating the vibration of the elevator car in the prior art can also be applied to vibration management of the elevator car, and the vibration condition of the elevator car is calculated through vibration data of the piezoelectric vibration sensor, so that the elevator can be controlled to complete corresponding actions when the elevator car has abnormal vibration. However, the applicant has found that when the existing vibration sensor is used as a core element to measure the acceleration data of the elevator car, some data cables for transmitting the vibration data need to be arranged, and the data cables are easy to cause elevator faults when the elevator car runs, so that the normal running of the elevator car is influenced. To this end, the applicant has conceived of applying a micro-electromechanical system (MEMS) system to the measurement of acceleration data of an elevator car, which is capable of transmitting data by means of wireless communication, and which is small in size so that the normal operation of the elevator car can be prevented from being affected.
However, the applicant found in practical studies that the acceleration of the elevator car during operation can be actually divided into an operating acceleration caused by the start and stop of the elevator and a vibration acceleration of the car, and both accelerations reflect the vibration of the elevator car. The vibration frequencies of these two types of acceleration are different (the operating acceleration is a low-frequency signal, and the vibration acceleration is a high-frequency signal), and the vibration abnormality thresholds corresponding thereto are also different. However, the conventional scheme does not consider the problem that the two types of acceleration vibration frequencies are different, so that misjudgment of abnormal vibration and misoperation of elevator control are easy to occur, and the management effect on the elevator car vibration is poor. Therefore, the applicant thinks of designing an elevator car vibration management system for realizing vibration abnormity judgment based on a MEMS system and acceleration vibration frequency division so as to improve the management effect on the elevator car vibration.
Disclosure of Invention
Aiming at the defects of the prior art, the technical problems to be solved by the invention are as follows: how to provide an elevator car vibration management system based on vibration anomaly is judged to MEMS system and acceleration vibration frequency division realization to can guarantee the normal operating of elevator car, and promote the management effect to elevator car vibration.
In order to solve the technical problems, the invention adopts the following technical scheme:
an elevator car vibration management system based on a MEMS system, comprising:
the MEMS monitoring module is used for acquiring and transmitting acceleration data of the elevator car;
the route driving module is used for driving the elevator car to act and can receive and forward the acceleration data sent by the MEMS monitoring module;
and the cloud server is used for receiving the acceleration data forwarded by the route driving module, then carrying out frequency separation processing on the acceleration data to obtain a corresponding high-frequency acceleration component and a corresponding low-frequency acceleration component, calculating and judging whether the elevator car has abnormal vibration information according to the high-frequency acceleration component and the low-frequency acceleration component, and sending a corresponding control signal to the route driving module when the abnormal vibration information exists.
Preferably, after receiving the acceleration data, the cloud server operates according to the following steps:
s1: carrying out frequency separation on the acceleration data to obtain a corresponding high-frequency acceleration component and a corresponding low-frequency acceleration component;
s2: respectively and correspondingly calculating the integral vibration quantity and the integral motion acceleration quantity of the elevator car according to the high-frequency acceleration component and the low-frequency acceleration component;
s3: comparing the integral vibration quantity and the integral motion acceleration quantity of the elevator car with a set vibration abnormity threshold value respectively, and judging whether the elevator car has vibration abnormity information or not;
s4: and generating a corresponding control signal when the abnormal vibration information exists, and sending the control signal to the route driving module.
Preferably, the acceleration data comprise acceleration values X corresponding to the elevator car in three directions X, Y, Z i 、Y i And Z i (ii) a In the step S1, the acceleration data is subjected to frequency separation processing through a high-pass/low-pass digital filter to obtain high-frequency acceleration components of the elevator car in the X direction, the Y direction and the Z direction in a separation mode
Figure BDA0002880295860000021
And
Figure BDA0002880295860000022
and low-frequency acceleration components of the elevator car in the X, Y and Z directions
Figure BDA0002880295860000023
And
Figure BDA0002880295860000024
preferably, in step S2, the total vibration amount is calculated by the following formula:
Figure BDA0002880295860000025
wherein Z represents the total vibration amount,
Figure BDA0002880295860000026
and
Figure BDA0002880295860000027
respectively representing high frequency acceleration components of the elevator car in the three directions X, Y and Z.
Preferably, in step S3, when the total vibration Z is not less than 0.308m/S 2 、
Figure BDA0002880295860000028
Or
Figure BDA0002880295860000029
Judging that the elevator car is in an abnormal vibration state; when the integral vibration Z is more than or equal to 1m/s 2 And judging that the elevator car is in a vibration danger state.
Preferably, in step S2, the overall motion acceleration amount is calculated by the following formula:
Figure BDA0002880295860000031
wherein A represents the acceleration of the whole motion,
Figure BDA0002880295860000032
and
Figure BDA0002880295860000033
respectively representing low frequency acceleration components of the elevator car in three directions X, Y and Z.
Preferably, in step S3, when the acceleration A of the whole motion is more than or equal to 1.5m/S 2 And judging that the elevator car is in the abnormal vibration state.
Preferably, in step S4: when the elevator car is in a vibration abnormal state, generating a control signal for sending a vibration abnormal alarm signal; when the elevator car is in a vibration danger state, a control signal used for sending a vibration abnormal danger signal and controlling the elevator car to stop running is generated.
Preferably, the MEMS monitoring module includes an MEMS sensor for acquiring an area displacement amount of the elevator car in three directions of X, Y, and Z, a microprocessor unit for converting the area displacement amount acquired by the MEMS sensor into corresponding acceleration data, and a front-end communication unit for the microprocessor unit to transmit the acceleration data to the routing driving module.
Preferably, the route driving module comprises an elevator controller unit for driving an elevator car to move, a route communication unit for the elevator controller unit to receive the acceleration data sent by the MEMS monitoring module, and a network communication unit for the elevator controller unit to forward the acceleration data to the cloud server;
the front-end communication unit and the routing communication unit are both LoRa radio frequency units, so that a LoRa wireless sensing communication network is established between the MEMS monitoring module and the routing driving module; the network communication unit is an Ethernet module or a GPRS network communication module.
Compared with the prior art, the elevator car vibration management system has the following advantages:
in the invention, the acceleration data is collected through the MEMS monitoring module (the MEMS monitoring module is measured based on the MEMS system), the acceleration data can be communicated with the route driving module in a wireless route communication mode, and the volume of the MEMS system is very small, so that the normal operation of the elevator car can be ensured. Secondly, the cloud server carries out frequency separation processing on the acceleration data, and whether the elevator car has abnormal vibration information or not is judged according to the high-frequency acceleration component and the low-frequency acceleration component, namely, the influence of the vibration acceleration and the running acceleration on the vibration of the elevator car is considered, the problems of abnormal vibration judgment or misoperation in the running of the elevator can be avoided, and therefore the management effect on the vibration of the elevator car can be improved.
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For a better understanding of the objects, solutions and advantages of the present invention, reference will now be made in detail to the present invention, which is illustrated in the accompanying drawings, in which:
fig. 1 is a logic block diagram of an elevator car vibration management system in an embodiment;
fig. 2 is a logic block diagram of a cloud server in an embodiment.
Detailed Description
The following is further detailed by the specific embodiments:
the embodiment is as follows:
the embodiment discloses an elevator car vibration management system based on an MEMS system.
As shown in fig. 1, an elevator car vibration management system based on a MEMS system includes:
the MEMS monitoring module is used for acquiring and transmitting acceleration data of the elevator car;
the route driving module is used for driving the elevator car to act and can receive and forward the acceleration data sent by the MEMS monitoring module;
and the cloud server is used for receiving the acceleration data forwarded by the route driving module, then carrying out frequency separation processing on the acceleration data to obtain a corresponding high-frequency acceleration component and a corresponding low-frequency acceleration component, calculating and judging whether the elevator car has abnormal vibration information according to the high-frequency acceleration component and the low-frequency acceleration component, and sending a corresponding control signal to the route driving module when the abnormal vibration information exists.
Referring to fig. 2, the cloud server in this embodiment includes a data access layer, a logic control layer, and a presentation layer, which are respectively used for analyzing and storing a network data stream, resolving, analyzing, and performing fault early warning on vibration data, and performing access logic processing on a client. The client adopts a C/S and B/S mixed access design. The C/S client software is compiled by LabVIEW, so that maintenance personnel can conveniently log in a server to observe the running vibration condition of a specific elevator in real time, and the elevator fault can be rapidly diagnosed. The B/S client accesses in a webpage mode, and reflects the long-term working condition of the elevator by analyzing historical vibration data.
In the invention, the acceleration data is collected through the MEMS monitoring module (the MEMS monitoring module is measured based on the MEMS system), the acceleration data can be communicated with the route driving module in a wireless route communication mode, and the volume of the MEMS system is very small, so that the normal operation of the elevator car can be ensured. Secondly, the cloud server carries out frequency separation processing on the acceleration data, and whether the elevator car has abnormal vibration information or not is judged according to the high-frequency acceleration component and the low-frequency acceleration component, namely, the influence of the vibration acceleration and the running acceleration on the vibration of the elevator car is considered, the problems of abnormal vibration judgment or misoperation in the running of the elevator can be avoided, and therefore the management effect on the vibration of the elevator car can be improved.
In a specific implementation process, after receiving the acceleration data, the cloud server works according to the following steps:
s1: carrying out frequency separation on the acceleration data to obtain a corresponding high-frequency acceleration component and a corresponding low-frequency acceleration component;
s2: respectively and correspondingly calculating the integral vibration quantity and the integral motion acceleration quantity of the elevator car according to the high-frequency acceleration component and the low-frequency acceleration component;
s3: comparing the integral vibration quantity and the integral motion acceleration quantity of the elevator car with a set vibration abnormity threshold value respectively, and judging whether the elevator car has vibration abnormity information or not;
s4: and generating a corresponding control signal when the abnormal vibration information exists, and sending the control signal to the route driving module.
In the actual vibration management, a high-frequency acceleration component and a low-frequency acceleration component are obtained through frequency separation, the integral vibration quantity and the integral motion acceleration quantity are further calculated, and whether the abnormal vibration information exists is judged according to the integral vibration quantity and the integral motion acceleration quantity, namely, the influence of the vibration acceleration and the operation acceleration on the vibration of the elevator car is fully considered when judging whether the abnormal vibration information exists, so that the problems of abnormal vibration misjudgment or misoperation in elevator operation can be avoided, and the management effect on the vibration of the elevator car can be improved.
In a specific implementation, the acceleration data comprise acceleration values X corresponding to the elevator car in three directions X, Y and Z i 、Y i And Z i (ii) a In the step S1, the acceleration data is subjected to frequency separation processing through a high-pass/low-pass digital filter to obtain high-frequency acceleration components of the elevator car in the X direction, the Y direction and the Z direction in a separation mode
Figure BDA0002880295860000051
And
Figure BDA0002880295860000052
and low-frequency acceleration components of the elevator car in the X, Y and Z directions
Figure BDA0002880295860000053
And
Figure BDA0002880295860000054
in the invention, the acceleration data is subjected to frequency separation processing through the high-pass/low-pass digital filter, so that a high-frequency acceleration component and a low-frequency acceleration component can be accurately separated, and the calculation and judgment of the vibration abnormity can be better assisted.
In a specific implementation process, in step S2, the overall vibration amount is calculated by the following formula:
Figure BDA0002880295860000055
wherein Z represents the total vibration amount,
Figure BDA0002880295860000056
and
Figure BDA0002880295860000057
respectively representing high frequency acceleration components of the elevator car in three directions X, Y and Z.
Calculating the integral motion acceleration by the following formula:
Figure BDA0002880295860000058
wherein A represents the acceleration of the whole motion,
Figure BDA0002880295860000059
and
Figure BDA00028802958600000510
respectively representing low frequency acceleration components of the elevator car in the three directions X, Y and Z.
The above formula is obtained by introducing a normalized signal amplitude domain SMA and performing overall analysis on the three-axis vibration:
Figure BDA00028802958600000511
in the formula, zX (T), zY (T), zZ (T) respectively represent the vibration quantity Z of the elevator car in the direction of the X, Y, Z axes, and T is the normalized time. And obtaining the formula of the overall vibration quantity and the overall motion acceleration quantity through the formula.
In the specific implementation process, in step S3, when the integral vibration quantity Z is more than or equal to 0.308m/S 2 、
Figure BDA00028802958600000512
Or
Figure BDA00028802958600000513
Judging that the elevator car is in an abnormal vibration state; when the integral vibration quantity Z is more than or equal to 1m/s 2 And judging that the elevator car is in a vibration dangerous state. When the acceleration A of the whole motion is more than or equal to 1.5m/s 2 And judging that the elevator car is in the abnormal vibration state.
In the invention, each vibration abnormity threshold is obtained by combining the GB/T10058-2009 standard with experimental calculation, and the vibration condition of the elevator car can be well reflected, so that the management effect on the vibration of the elevator car can be assisted and promoted.
In the specific implementation process, in step S4: when the elevator car is in a vibration abnormal state, generating a control signal for sending a vibration abnormal alarm signal; when the elevator car is in a vibration danger state, a control signal for sending a vibration abnormal danger signal and controlling the elevator car to stop running is generated.
In the invention, when the elevator car is in a vibration abnormal state or a vibration dangerous state, a corresponding vibration abnormal dangerous signal is sent out to remind related personnel to process in time. And when the elevator is in a vibration dangerous state, the elevator is also controlled to stop running so as to avoid safety accidents.
In the specific implementation process, the MEMS monitoring module comprises an MEMS sensor used for acquiring regional displacement of the elevator car in X, Y and Z directions, a microprocessor unit used for converting the regional displacement acquired by the MEMS sensor into corresponding acceleration data, and a front-end communication unit used for transmitting the acceleration data to the route driving module by the microprocessor unit. The routing driving module comprises an elevator controller unit used for driving an elevator car to act, a routing communication unit used for enabling the elevator controller unit to receive the acceleration data sent by the MEMS monitoring module, and a network communication unit used for enabling the elevator controller unit to forward the acceleration data to the cloud server;
the front-end communication unit and the route communication unit are both LoRa radio frequency units, so that a LoRa wireless sensing communication network is established between the MEMS monitoring module and the route driving module; the network communication unit is an Ethernet module or a GPRS network communication module. In the embodiment, the MEMS sensor is a LIS3DH triaxial acceleration sensor; the front-end communication unit is an SX1278 radio frequency module; the routing communication unit is an SX1301 radio frequency module; the microprocessor unit is an existing microcontroller; the elevator controller unit is an existing single chip microcomputer.
In the invention, an LoRa wireless sensing communication network is established between the MEMS monitoring module and the route driving module, the LoRa network transmits data based on Chirp Spread Spectrum (CSS) modulation technology, the linear transmission distance can reach 8 kilometers, even if a single router is in an urban environment, the signal coverage of the whole residential community can be realized, and the networking cost and the operation cost are greatly reduced.
Experimental part:
in order to verify the vibration monitoring performance of the system, the invention also discloses the following experiments.
In the experiment, the front-end monitoring node is arranged on the side face of the car of a miniature elevator model so as to simulate vibration signals generated by various emergencies. Meanwhile, vibration data under different working conditions are collected through the system, and the reliability of measurement of the system is verified by comparing the measurement results of the traditional piezoelectric vibration sensor.
The model elevator comprises 7 simulated flat floors in total, the experiment firstly runs in a normal loading mode, horizontal (X-axis direction and Y-axis direction) vibration signals of the elevator at the 2 nd to 7 th floor stopping moment are recorded respectively from the first floor, then the weighted operation is carried out on the vibration signals in the two directions, and an integral vibration signal Sl in the horizontal direction is calculated, namely
Figure BDA0002880295860000061
Then, the vibration data measured in the horizontal direction by the conventional vibration sensor is compared, and the data is shown in the following table 1, wherein the difference between the vibration value in the horizontal direction and the reference value is less than 0.005m/s 2 And the measurement of the horizontal vibration signal of the conventional elevator can be met.
TABLE 1 horizontal vibration test data under normal operating conditions
Figure BDA0002880295860000062
Figure BDA0002880295860000071
The model elevator is operated under the same experimental conditions, from the first floor, the integral vibration signal S of the elevator at the stopping moment of the 2 nd to 7 th floors is recorded respectively, the measured elevator car vibration data is shown in the following table 2, the vibration signal measured by the elevator vibration sensor based on the MEMS technology is similar to the measurement value of the traditional instrument, and the error value is 0.01m/S 2 And left and right, the system can be fully qualified for long-time monitoring of vibration in the daily operation of the elevator.
TABLE 2 Overall vibration test data under Normal operating conditions
Figure BDA0002880295860000072
Common emergency situations such as sudden stop, accelerated falling, external impact and the like of an elevator in operation can be simulated by controlling the on-off of a power supply of the model elevator and the dragging of a steel cable, and the overall vibration data of the elevator car in various operation states is shown in the following table 3.
TABLE 3 Overall vibration test data under abnormal conditions
Figure BDA0002880295860000073
Under several kinds of common unexpected circumstances, the elevator vibration sensor based on MEMS technique can be fine measure the elevator and meet the unexpected vibration signal that produces in service, and all be less than 10% with traditional vibration sensor error value, and can correctly produce alarm signal on front end PC server, reached anticipated design effect.
Therefore, the elevator car vibration management system based on the MEMS system utilizes the LoRa radio frequency chip to establish the wireless sensor network to realize cross-region elevator safety monitoring. The experimental data show that the vibration monitoring performance of the system is excellent, compared with the traditional piezoelectric sensor, the measured value error is very small when the elevator operates normally; under the elevator abnormal state, although the error of this system slightly increases, nevertheless because the upgrading that installation MEMS monitoring module needs to occupy reduces by a wide margin on elevator car, be favorable to saving device occupation space, alleviate car weight, and MEMS monitoring module's power consumption is few, can realize mains operated and long-life operation, be favorable to the energy can be saved, reduce cable connection and corresponding cable fault problem, also can accurately judge abnormal state simultaneously, and cost and volume reduce than traditional sensor by a wide margin, possess good practical value.
The foregoing are embodiments of the present invention and are not intended to limit the scope of the invention to the particular forms set forth in the specification, which are set forth in the claims below, but rather are to be construed as the full breadth and scope of the claims, as defined by the appended claims, as defined in the appended claims, in order to provide a thorough understanding of the present invention. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.

Claims (6)

1. An elevator car vibration management system based on a MEMS system, comprising:
the MEMS monitoring module is used for acquiring and transmitting acceleration data of the elevator car;
the route driving module is used for driving the elevator car to act and can receive and forward the acceleration data sent by the MEMS monitoring module;
the cloud server is used for receiving the acceleration data forwarded by the route driving module, then carrying out frequency separation processing on the acceleration data to obtain a corresponding high-frequency acceleration component and a corresponding low-frequency acceleration component, calculating and judging whether the elevator car has abnormal vibration information according to the high-frequency acceleration component and the low-frequency acceleration component, and sending a corresponding control signal to the route driving module when the abnormal vibration information exists;
after receiving the acceleration data, the cloud server works according to the following steps:
s1: carrying out frequency separation on the acceleration data to obtain a corresponding high-frequency acceleration component and a corresponding low-frequency acceleration component;
the acceleration data comprising acceleration values X corresponding to the elevator car in three directions X, Y and Z i 、Y i And Z i ；
In the step S1, the acceleration data is subjected to frequency separation processing through a high-pass/low-pass digital filter to obtain the heights of the elevator car in the X direction, the Y direction and the Z direction through separationFrequency acceleration component
Figure FDA0003834765150000011
And
Figure FDA0003834765150000012
and low-frequency acceleration components of the elevator car in the X, Y and Z directions
Figure FDA0003834765150000013
And
Figure FDA0003834765150000014
s2: respectively and correspondingly calculating the integral vibration quantity and the integral motion acceleration quantity of the elevator car as influence parameters reflecting the vibration acceleration and the running acceleration according to the high-frequency acceleration component and the low-frequency acceleration component;
s3: comparing the integral vibration quantity and the integral motion acceleration quantity of the elevator car with a set vibration abnormity threshold value respectively, and judging whether the elevator car has vibration abnormity information or not;
s4: generating a corresponding control signal when the abnormal vibration information exists, and sending the control signal to the route driving module;
in step S2, the overall vibration amount is calculated by the following formula:
Figure FDA0003834765150000015
wherein Z represents the total vibration amount,
Figure FDA0003834765150000016
and
Figure FDA0003834765150000017
respectively representing high-frequency acceleration components of the elevator car in X, Y and Z directions;
calculating the integral motion acceleration by the following formula:
Figure FDA0003834765150000018
wherein A represents the acceleration of the whole motion,
Figure FDA0003834765150000019
and
Figure FDA00038347651500000110
respectively representing low frequency acceleration components of the elevator car in the three directions X, Y and Z.
2. The elevator car vibration management system based on MEMS system as claimed in claim 1, wherein in step S3, when the overall vibration quantity Z is greater than or equal to 0.308m/S 2 、
Figure FDA00038347651500000111
Or
Figure FDA00038347651500000112
Judging that the elevator car is in an abnormal vibration state; when the integral vibration Z is more than or equal to 1m/s 2 And judging that the elevator car is in a vibration dangerous state.
3. Elevator car vibration management system based on MEMS system according to claim 1, characterized in that in step S3, when the acceleration A of the whole motion is greater than or equal to 1.5m/S 2 And judging that the elevator car is in the abnormal vibration state.
4. The MEMS system based elevator car vibration management system of claim 1, wherein in step S4: when the elevator car is in a vibration abnormal state, generating a control signal for sending a vibration abnormal alarm signal; when the elevator car is in a vibration danger state, a control signal for sending a vibration abnormal danger signal and controlling the elevator car to stop running is generated.
5. The MEMS system based elevator car vibration management system of claim 1, wherein: the MEMS monitoring module comprises an MEMS sensor used for acquiring the regional displacement of the elevator car in X, Y and Z directions, a microprocessor unit used for converting the regional displacement acquired by the MEMS sensor into corresponding acceleration data, and a front-end communication unit used for transmitting the acceleration data to the route driving module by the microprocessor unit.
6. The MEMS system based elevator car vibration management system of claim 5 wherein: the routing driving module comprises an elevator controller unit used for driving an elevator car to act, a routing communication unit used for enabling the elevator controller unit to receive the acceleration data sent by the MEMS monitoring module, and a network communication unit used for enabling the elevator controller unit to forward the acceleration data to the cloud server;
the front-end communication unit and the route communication unit are both LoRa radio frequency units, so that a LoRa wireless sensing communication network is established between the MEMS monitoring module and the route driving module; the network communication unit is an Ethernet module or a GPRS network communication module.
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