CN111071906B - Fault monitoring method, device and system for steps - Google Patents
Fault monitoring method, device and system for steps Download PDFInfo
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- CN111071906B CN111071906B CN201811228689.8A CN201811228689A CN111071906B CN 111071906 B CN111071906 B CN 111071906B CN 201811228689 A CN201811228689 A CN 201811228689A CN 111071906 B CN111071906 B CN 111071906B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B29/00—Safety devices of escalators or moving walkways
- B66B29/005—Applications of security monitors
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Abstract
The embodiment of the invention provides a fault monitoring method, a device and a system of steps, wherein the method comprises the following steps: the method comprises the steps of obtaining position information and a plurality of acoustic emission signals of each step of the elevator to be monitored at each sampling time within a preset time period, carrying out envelope detection, propagation time difference correction and superposition processing on a sampling time sequence of each acoustic emission signal aiming at each step to obtain a plurality of processed acoustic emission signals, and determining whether the elevator to be monitored breaks down within the preset time period according to the value and the position information of the acoustic emission signals processed by each step at each sampling time. The method provided by the invention can find the fault hidden danger of the cascade in time and improve the user experience.
Description
Technical Field
The embodiment of the invention relates to the field of public transport, in particular to a fault monitoring method, device and system for steps.
Background
With the progress of society, the escalator has been widely applied to shopping malls and urban rail transit stations, and the escalator comprises a step road system, a main transmission system, a step road tensioning device and the like, wherein the step road comprises steps and step guide rails, wherein the steps are the most parts of the escalator and are moving parts for bearing passengers, so that the timely discovery of the faults existing in the steps is of great importance.
In the prior art, the escalator is periodically closed, and a manual inspection method is adopted to check step faults, wherein the common faults of the steps are as follows: step deviation, step impact comb plate, step impact skirt plate, step buckle fatigue fracture and the like.
However, the hidden trouble of the cascade cannot be detected in time by adopting the scheme, and the user experience is influenced.
Disclosure of Invention
The embodiment of the invention provides a fault monitoring method, a fault monitoring device and a fault monitoring system for a ladder way, and aims to solve the problem that the fault hidden danger of the ladder way cannot be detected in time by adopting the conventional scheme.
In a first aspect, an embodiment of the present invention provides a method for monitoring a fault of a step, including
Acquiring position information and a plurality of acoustic emission signals of each step of an elevator to be monitored at each sampling time within a preset time period;
for each step, carrying out envelope detection, propagation time difference correction and superposition processing on the sampling time sequence of each acoustic emission signal to obtain a plurality of processed acoustic emission signals;
and determining whether the elevator to be monitored has a fault within the preset time period according to the value and the position information of the acoustic emission signal processed by each step at each sampling time.
Optionally, the acquiring position information and a plurality of acoustic emission signals of each step of the elevator to be monitored at each sampling time within a preset time period includes:
receiving position information of each step at each sampling time sent by a position acquisition device arranged on the elevator to be monitored;
and acquiring a plurality of acoustic emission signals of each step at each sampling time according to a plurality of sensors arranged on each step of the elevator to be monitored.
Optionally, before performing envelope detection, propagation time difference correction, and superposition processing on the sampling time sequence of each acoustic emission signal for each step to obtain a plurality of processed acoustic emission signals, the method further includes:
and performing analog-to-digital conversion processing on all acoustic emission signals of each step acquired by the sensor.
Optionally, the method further includes:
displaying a fault monitoring result of the elevator to be monitored; and the fault monitoring result is used for indicating whether the elevator to be monitored has faults within the preset time period.
In a second aspect, an embodiment of the present invention provides a fault monitoring device for a step, including:
the acquiring module is used for acquiring the position information and a plurality of acoustic emission signals of each step of the elevator to be monitored at each sampling time within a preset time period;
the processing module is used for carrying out envelope detection, propagation time difference correction and superposition processing on the sampling time sequence of each acoustic emission signal aiming at each step to obtain a plurality of processed acoustic emission signals;
and the determining module is used for determining whether the elevator to be monitored has faults within the preset time period according to the value and the position information of the acoustic emission signal processed by each step at each sampling time.
Optionally, the apparatus further includes a receiving module, where the receiving module is configured to:
receiving position information of each step at each sampling time sent by a position acquisition device arranged on the elevator to be monitored;
the acquisition module is further used for acquiring and acquiring a plurality of acoustic emission signals of each step at each sampling time according to a plurality of sensors arranged on each step of the elevator to be monitored.
Optionally, the processing module is further configured to perform analog-to-digital conversion processing on all acoustic emission signals of each step collected by the sensor.
Optionally, the display device further comprises a display module, wherein the display module is configured to:
displaying a fault monitoring result of the elevator to be monitored; and the fault monitoring result is used for indicating whether the elevator to be monitored has faults within the preset time period.
In a third aspect, an embodiment of the present invention provides a fault monitoring system for a step, including:
the system comprises a position acquisition device, a plurality of sensors arranged on each step of the elevator to be monitored and a fault diagnosis host machine;
the position acquisition device is used for acquiring the position information of each step of the elevator to be monitored;
each sensor on each step is for monitoring an acoustic emission signal;
and the fault diagnosis host is used for determining whether the elevator to be monitored has faults within the preset time period according to the value and the position information of the acoustic emission signal processed by each step at each sampling time.
Acquiring the time position relation of each step of the escalator and sending the time position relation of each step to the fault diagnosis host;
the fault diagnosis host is specifically used for acquiring data of the plurality of sensors during the operation of each step.
Optionally, the fault diagnosis host is specifically configured to, for each step, perform envelope detection, propagation time difference correction, and superposition processing on the sampling time sequence of each acoustic emission signal to obtain a plurality of processed acoustic emission signals, where the processed acoustic emission signal of each step includes time when the sensor array monitors the signal of each step, and then determine whether a step has a fault according to a value of the acoustic emission signal processed by each step at each sampling time and time corresponding to a time-position relationship of each step.
Optionally, the system further includes: the state presentation device is connected with the fault diagnosis computer through an Ethernet; the state presenting device is used for displaying a fault monitoring result of the elevator to be monitored; and the fault monitoring result is used for indicating whether the elevator to be monitored has faults within a preset time interval.
Optionally, the position acquiring device includes: the device comprises a position calculation unit, an electronic identification of each step, a reading unit of the electronic identification of the step, a rotating speed sensor and a pressure sensor.
In a fourth aspect, an embodiment of the present invention provides an electronic device, including: a receiver, a processor, a transmitter, a memory, a display, and a computer program; the computer program is stored in the memory and the processor executes the computer program to implement the method of fault monitoring of a rung as defined in any one of the first aspects.
In a fifth aspect, an embodiment of the present invention provides a computer-readable storage medium, where a computer program is stored, and a server executes the computer program to implement the method for monitoring a fault of a rung according to any one of the first aspect.
The method comprises the steps of obtaining position information and a plurality of acoustic emission signals of each step of the elevator to be monitored at each sampling time within a preset time period, carrying out envelope detection, propagation time difference correction and superposition processing on a sampling time sequence of each acoustic emission signal aiming at each step to obtain a plurality of processed acoustic emission signals, and determining whether the elevator to be monitored has faults within the preset time period according to the value and the position information of the acoustic emission signals processed by each step at each sampling time. The method provided by the invention can find the fault hidden danger of the cascade in time and improve the user experience.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a first schematic structural diagram of a step fault monitoring system according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram ii of a step fault monitoring system according to an embodiment of the present invention;
fig. 3 is a first flowchart illustrating a step fault monitoring method according to an embodiment of the present invention;
fig. 4 is a second flowchart illustrating a step fault monitoring method according to an embodiment of the present invention;
fig. 5 is a third schematic flowchart of a step fault monitoring method according to an embodiment of the present invention;
fig. 6 is a first schematic structural diagram of a fault monitoring device for a step according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram ii of a fault monitoring device for a step according to an embodiment of the present invention;
fig. 8 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a schematic structural diagram of a step fault monitoring system according to an embodiment of the present invention, as shown in fig. 1, a step fault monitoring system 10 includes: a position acquisition device 101, a plurality of sensors 102 arranged on each step of the elevator to be monitored, and a fault diagnosis host machine 103.
The escalator comprises a step path system, a main transmission system, a step path tensioning device and the like, wherein the step path comprises a plurality of steps and step guide rails, the steps are sequentially arranged on the step guide rails, and the guide rails determine the movement tracks of the steps.
The position acquiring device 101 is used for acquiring position information of each step of the elevator to be monitored.
Each sensor 102 on each step is used to monitor the acoustic emission signal.
The fault diagnosis host machine 103 is configured to determine whether the elevator to be monitored has a fault within the preset time period according to the value and the position information of the acoustic emission signal processed by each step at each sampling time.
Optionally, the plurality of sensors 102 disposed on each step of the elevator to be monitored may be sensor arrays, and may include two sensor arrays, each of the sensor arrays is composed of 12 air-coupled acoustic emission sensors arranged in a linear manner along the direction of the guide rail at an interval of 30 cm, and the number of the sensor arrays is 24, the two sensor arrays are respectively mounted on the outer sides of the two guide rails, and the sensor arrays are arranged in parallel with the direction of the guide rail, and are disposed on each step of the elevator to be monitored, and the sensor arrays 102 are connected to the failure diagnosis host computer 103 through analog signal lines, and transmit the monitored acoustic emission signals to the failure diagnosis host computer 103.
Alternatively, the fault diagnosis host 103 may be an industrial computer configured with various interfaces and data acquisition modules, and is mainly used for signal processing, data storage, data transmission, fault identification and diagnosis.
Optionally, the position acquiring device 101 is specifically configured to acquire a time-position relationship of each step of the escalator path, and send the time-position relationship of each step to the fault diagnosis host 103. The fault diagnosis host 103 is specifically configured to acquire data of the sensor array 102 during operation of each step.
Optionally, the fault diagnosis host 103 is specifically configured to, for each step, perform envelope detection, propagation time difference correction, and superposition processing on the sampling time sequence of each acoustic emission signal to obtain a plurality of processed acoustic emission signals, where the processed acoustic emission signal of each step includes time when the sensor array 102 monitors the signal of each step, and then determine whether a step has a fault according to a value of the processed acoustic emission signal of each step at each sampling time and time corresponding to a time-position relationship of each step.
Optionally, the step fault monitoring system 10 further comprises: and a state presenting device.
The state presenting device is connected with the fault diagnosis host machine 103 through the Ethernet, and the state presenting device is used for displaying a fault monitoring result of the elevator to be monitored, and the fault monitoring result is used for indicating whether the elevator to be monitored has faults within a preset time period.
The fault monitoring system for the steps comprises a position acquisition device, a plurality of sensors and a fault diagnosis host, wherein the sensors are arranged on each step of an elevator to be monitored, the position acquisition device is used for acquiring the position information of each step of the elevator to be monitored, and each sensor on each step is used for monitoring an acoustic emission signal; the fault diagnosis host is used for determining whether the elevator to be monitored has faults within the preset time interval according to the value and the position information of the acoustic emission signal processed by each step at each sampling time, so that the fault hidden danger of the step can be found in time, and the user experience is improved.
On the basis of the embodiment of fig. 1, fig. 2 is a schematic structural diagram of a step fault monitoring system according to an embodiment of the present invention, and as shown in fig. 2, the position acquiring device 101 includes: a position calculation unit 1011, an electronic identification 1012 provided on each step, a reading unit 1013 for the electronic identification of the step, a rotation speed sensor 1014, and a pressure sensor 1015.
Specifically, the electronic identifier 1012 provided on each rung is a unique identifier for each rung, such as: the reading unit 1013 of the electronic identification of the two-dimensional code, the rungs, may be a component that reads the electronic identification, for example: the code reader and the reading unit 1013 of the electronic identification of the step are connected with the position calculation device, the rotation speed sensor 1014 and the pressure sensor 1015 are installed on each step, the pressure sensor 1015 is connected with the position calculation unit 1011 and is used for collecting the pressure when the step passes through, and the rotation speed sensor 1014 is connected with the position calculation unit 1011 and is used for collecting the running speed of the step.
When the escalator is in operation, the position calculation unit 1011 receives the content of the electronic identifier 1012 on each step read by the electronic identifier reading unit 1013 of the step, the rotation speed signal monitored by the rotation speed sensor 1014, and the pressure signal monitored by the pressure sensor 1015, converts the content into a digital signal, calculates the position of the step at each time according to the digital signal, and establishes the time-position relationship of each time step.
In the step fault monitoring system provided by this embodiment, the position obtaining device includes a position calculating unit, an electronic identifier disposed on each step, a reading unit of the electronic identifier of the step, a rotation speed sensor, and a pressure sensor, and can establish a time-position relationship of each step, that is, determine the position of a certain time step.
Fig. 3 is a schematic flow chart of a step fault monitoring method according to an embodiment of the present invention, where an execution main body of the present solution is a fault diagnosis host in the embodiment of fig. 1. As shown in fig. 3, the method includes:
s301, acquiring position information and a plurality of acoustic emission signals of each step of the elevator to be monitored at each sampling time within a preset time period.
An acoustic emission sensor array, a rotation speed sensor and a pressure sensor are mounted on each step.
The acoustic emission sensor array collects a plurality of acoustic emission signals of each sampling time of the cascade in a preset time period and sends the acoustic emission signals to the fault diagnosis host; the rotating speed sensor is used for acquiring the running speed of the steps, the pressure sensor is used for acquiring the pressure when the steps pass through, and the position calculating unit in the embodiment of fig. 2 calculates the time position relation of each sampling time of each step in a preset time period according to the rotating speed signal acquired by the rotating speed sensor and the pressure signal acquired by the pressure sensor, so that the position information of each sampling time of each step in the preset time period is obtained, and the position information is sent to the fault diagnosis host. Therefore, the fault diagnosis host machine obtains the position information and the acoustic emission signals of each step of the elevator to be monitored at each sampling time within a preset time period.
S302, aiming at each step, carrying out envelope detection, propagation time difference correction and superposition processing on the sampling time sequence of each acoustic emission signal to obtain a plurality of processed acoustic emission signals.
Optionally, before S302, analog-to-digital conversion processing may be performed on all acoustic emission signals of each step acquired by the sensor to obtain a sampling time sequence of each acoustic emission signal, and then, for each step, envelope detection, propagation time difference correction, and superposition processing are performed on the sampling time sequence of each acoustic emission signal to obtain a plurality of acoustic emission signals after processing of each step.
Optionally, there are three implementation manners in this step, and in one implementation manner:
a. at time tsTo time teLet s be the signal collected by each sensor in the sensor array on each step during the time period of (1)j(t), (j ═ 1, …, N), j being the jth sensor in the array, and the signal being subjected to analog-to-digital conversion to obtain a sampling time series s of acoustic emission signalsj(m σ t), (j ═ 1, …, N), m being a positive integer, where σ t is the sampling interval.
b. Envelope detection is performed on the sampled time series of each acoustic emission signal.
c. And carrying out propagation time difference correction on the envelope signals after envelope detection.
The envelope detection method can be a generalized detection filtering borrow method and a Hilbert transform demodulation method, and the scheme does not limit the envelope detection method.
The propagation time difference correction means that signals generated by the same signal source at different distances from each sensor in the sensor array are corrected into signals generated by the same signal source at the same distance from each sensor in the sensor array, so that the influence of the propagation time difference is eliminated.
The propagation time difference correction is divided into two steps:
the first step is to calculate the propagation time difference correction amount.
Let propagation time difference correct Tj＝(Xj(t) -X)/V where j is the jth sensor in the sensor array, j is 1, …, N, X1(t)，…，XNAnd (t) the distance from the signal source to each sensor in the sensor array at the moment t, V is the propagation speed of the signal, generally, the sound wave is read as 334 m/s in the air, and X is the distance from the signal source to each sensor in the sensor array after the propagation time difference is corrected.
And secondly, correcting the propagation time difference.
Let SRj(mΔt)＝Sej(mΔt-Tj)
SRj(m Δ t), (j ═ 1, …, N) is the output of the signal with corrected propagation time difference at time m Δ t, m is a positive integer;
j is the jth sensor in the sensor array, j is 1, …, N;
Δ t is a sampling interval of the propagation time difference correction output signal;
Sej(mΔt-Tj) And (j ═ 1, …, N) is an envelope signal output after envelope detection of a signal monitored by the sensor at a time (m Δ T-T)j) And (j) is 1, …, N).
Further, Sej(mΔt-Tj) The calculation of (j ═ 1, …, N) can use the following three calculation methods:
first, the reconstruction is performed by a fragrance reconstruction method, and j is 1, …, and N are sequentially calculated.
Order to
Sej(k σ t) is performed on the signal monitored by the sensorA value of an envelope signal output after the envelope detection processing at a time (k σ t);
k,K1,K2is a positive integer;
fqis Sej(k σ t), the sampling frequency (reciprocal of sampling interval);
in the second method, the reconstruction is performed by linear interpolation, and j is 1, …, and N are calculated in sequence.
Order:
Sej(pjat) is the envelope signal output after envelope detection processing of the signal monitored by the sensor at time (p)jσ t).
Third, slave sej(M σ t), (M ═ 0, …, M) is sej(n σ T) such that | n σ T- (m Δ T-T)j) The value of | is minimal.
d. And carrying out multiple superposition on the propagation time difference correction signals output by the propagation time difference correction to obtain a plurality of processed acoustic emission signals.
The processed acoustic emission signals are signals obtained by performing envelope detection, propagation time difference correction and superposition processing on the sampling time sequence of each acoustic emission signal.
Optionally, the superposition mode may be equal-weight superposition or weighted superposition.
When performing the equal weight superposition, order
SRj(m Δ t) is envelope detection and propagation time difference correctionA signal output after being processed;
SR (M Δ t) is the superposition output signal, M is 0, …, M positive integer;
j is the jth sensor in the sensor array, j is 1, …, N.
When performing weighted overlap, let
Sj(m Δ t) is a signal output after envelope detection and propagation time difference correction processing; SR (M Δ t) is the superposition output signal, M is 0, …, M positive integer;
ajfor superimposing the timing signal SRj(m Δ t) weighting coefficients;
j is the jth sensor in the sensor array, j is 1, …, N.
In another implementation:
a. at time tsTo time teLet s be the signal collected by each sensor in the sensor array on each step during the time period of (1)j(t), (j ═ 1, …, N), j being the jth sensor in the array, and the signal being subjected to analog-to-digital conversion to obtain a sampling time series s of acoustic emission signalsj(m σ t), (j ═ 1, …, N), m being a positive integer, where σ t is the sampling interval.
b. The propagation time difference correction is performed for the sampling time series of each acoustic emission signal.
c. And carrying out envelope detection on the propagation time difference correction signal after propagation time difference correction.
d. And carrying out superposition processing on the envelope signal output by the envelope detection.
The specific implementation process is similar to the above implementation process, and is not described herein again.
In yet another implementation:
a. at time tsTo time teIn the time period of (2), the signal collected by each sensor in the sensor array on each step is set as Ej(t), (j ═ 1, …, N), j being the jth sensor in the sensor array, the signal being analog-to-digital converted to obtain eachSampling time sequence E of acoustic emission signalsj(m σ t), (j ═ 1, …, N), m being a positive integer, where σ t is the sampling interval.
b. The propagation time difference correction is performed for the sampling time series of each acoustic emission signal.
The propagation time difference correction is divided into two steps:
the first step is to calculate the propagation time difference correction amount.
Let Tj＝(Xj(t) -X)/V, j is the jth sensor in the sensor array, j is 1, …, N;
X1(t)，…，XNand (t) the distance from the signal source to each sensor in the sensor array at the moment t, V is the propagation speed of the signal, generally, the sound wave is read as 334 m/s in the air, and X is the distance from the signal source to each sensor in the sensor array after the propagation time difference is corrected.
And secondly, correcting the propagation time difference.
Let Rj(mΔt)＝Ej(mΔt-Tj)
Rj(m Δ t) is the output of the output signal at the time m Δ t after the propagation time difference is corrected, and m is a positive integer;
j is the jth sensor in the sensor array, j is 1, …, N;
Δ t is a sampling interval of the propagation time difference correction output signal;
Ej(mΔt-Tj) (j-1, …, N) is the time (m Δ T-T) of the signal monitored by the sensorj) And (j) is 1, …, N).
Further, Ej(mΔt-Tj) There are three methods of calculating (j ═ 1, …, N), including,
first, the reconstruction is performed by a fragrance reconstruction method, and j is 1, …, and N are sequentially calculated.
Order to
Ej(k σ t) is a value of the signal detected by the sensor at the time (k σ t)；
k,K1,K2Is a positive integer;
fqis Ej(k σ t), the sampling frequency (reciprocal of sampling interval);
in the second method, the reconstruction is performed by linear interpolation, and j is 1, …, and N are calculated in sequence.
Order:
third, directly from Ej(M σ t), (M ═ 0, …, M) is Ej(n σ T) such that | n σ T- (m Δ T-T)j) The value of | is minimal, where j is 1, …, N.
c. And carrying out superposition processing on the propagation time difference correction signal output by the propagation time difference correction.
Optionally, the superposition mode may be equal-weight superposition or weighted superposition.
When performing the equal weight superposition, order
Rj(m Δ t) is a time difference correction signal output after the propagation time difference correction processing;
r (M Δ t) is a superposition output signal, M is 0, …, M is a positive integer;
j is the jth sensor in the sensor array, j is 1, …, N.
When performing weighted overlap, let
Rj(m.DELTA.t) isA time difference correction signal output after propagation time difference correction;
r (M Δ t) is a superposition output signal, M is 0, …, M is a positive integer;
ajfor superimposing the time signal Rj(m Δ t).
j is the jth sensor in the sensor array, j is 1, …, N.
d. And carrying out envelope detection on the superposed signal output by the superposition processing.
And S303, determining whether the elevator to be monitored has a fault within a preset time period according to the value and the position information of the acoustic emission signal processed by each step at each sampling time.
Wherein, the fault of step has: the method comprises the following steps of rubbing skirt faults, step bayonet breakage faults, step impact cover plate faults caused by step bayonet breakage, step impact comb plate faults, step impact skirt plate faults, step buckle fatigue breakage faults, step road irregularity faults and the like.
In this step, it may be determined whether the step of the elevator to be monitored fails at each sampling time according to the maximum value, the average value, the root mean square value, the margin, the kurtosis, and the like domain characteristics and the time distribution relationship thereof of the acoustic emission signal processed by each step at each sampling time, and specifically, it may be determined which kind of failure the step belongs to according to various combination patterns of the parameters, for example, it may be determined whether the step bayonet fracture failure occurs at the first sampling time in the first step according to the maximum value and the average value of the acoustic emission signal processed by each step at each sampling time, and if the maximum value and the average value of the acoustic emission signal processed by each step at the first sampling time exceed the preset threshold, it is determined that the step bayonet fracture failure occurs at the first sampling time; and then, the position information of the step at the sampling time is combined to judge the fault of the step at the first position of the first sampling time, so that the fault can be timely processed by workers.
Optionally, the maximum value, the average value, the root mean square value, the margin, the kurtosis and other time domain characteristics of the acoustic emission signals processed by a plurality of steps at each sampling time and the time distribution relationship thereof are combined to judge whether the step fails at the sampling time, when the characteristics of the processed acoustic emission signal of the first step in the time domain, i.e. the maximum value, the average value, the root mean square value, the margin, the kurtosis and the like, and the time distribution relation thereof at each sampling time are all smaller or larger than the parameters of the processed acoustic emission signals of the plurality of steps at each sampling time, at this time, even if the combination of the parameters of the first step is within the preset threshold, the first step is determined to have a fault at the first sampling time, and meanwhile, the position information of the first step at the sampling time is combined to judge that the first step has a fault at the first position at the sampling time.
According to the fault monitoring method for the steps, the position information and the acoustic emission signals of each step of the elevator to be monitored at each sampling time within the preset time period are obtained, envelope detection, propagation time difference correction and superposition processing are carried out on the sampling time sequence of each acoustic emission signal aiming at each step, the processed acoustic emission signals are obtained, whether the elevator to be monitored breaks down within the preset time period or not is determined according to the value and the position information of the acoustic emission signals processed by each step at each sampling time, the fault hidden danger of the steps can be found in time, and user experience is improved.
On the basis of the embodiment of fig. 3, fig. 4 is a schematic flow chart diagram ii of a step fault monitoring method provided in the embodiment of the present invention, and as shown in fig. 4, S301 specifically includes the following steps:
s401, receiving position information of each step and each sampling time sent by a position acquisition device of the elevator to be monitored.
The position acquisition device can be a computer and can be arranged near the elevator to be monitored, and the position acquisition device can comprise a position calculation unit, a rotating speed sensor, a pressure sensor, an electronic identifier and a reading unit of the electronic identifier.
The position information of each step can be obtained by performing analog-to-digital conversion on signals acquired by the rotating speed sensor and signals acquired by the pressure sensor and calculating. The rotating speed sensor and the pressure sensor can be arranged on each step, an electronic identifier such as a two-dimensional code is arranged on each step, the position calculation unit sends the identifier and the time position relation of each step to the fault diagnosis host computer, and the fault diagnosis host computer receives the position information of each step at each sampling time sent by the position acquisition device arranged on the elevator to be monitored.
S402, acquiring and acquiring a plurality of acoustic emission signals of each step at each sampling time according to a plurality of sensors arranged on each step of the elevator to be monitored.
A plurality of sensors are provided on each step, for example: if the design of the acoustic emission sensor array is not reasonable, the truth of the acquired data and the data processing result are directly influenced, so that the arrangement mode of the acoustic emission sensor array can be but is not limited to the arrangement mode of the acoustic emission sensors mentioned in the embodiment of fig. 1. In addition, the plurality of sensors may respectively send the acquired signals to the fault diagnosis host after each sampling, or send the acquired signals to the fault diagnosis host at the same time at intervals, and the scheme is not particularly limited in the sending mode of the sensors.
In this step, the fault diagnosis host may collect a plurality of acoustic emission signals sent by the plurality of sensors on each step at each sampling time, for example, the fault diagnosis host may receive a plurality of acoustic emission signals sent by the plurality of sensors on the first step at each sampling time.
According to the step monitoring method provided by the embodiment, the position information of each step at each sampling time sent by the position acquisition device of the elevator to be monitored is received, and a plurality of acoustic emission signals of each step at each sampling time are acquired and acquired according to the plurality of sensors arranged on each step of the elevator to be monitored, so that the step and the corresponding signal thereof are combined at each sampling time, and the step fault is favorably positioned.
On the basis of the embodiments of fig. 2 and 3, fig. 5 is a third schematic flowchart of a step fault monitoring method provided in the embodiments of the present invention, as shown in fig. 5, in another specific implementation manner, the method includes:
s501, acquiring position information and a plurality of acoustic emission signals of each step of the elevator to be monitored at each sampling time within a preset time period.
And S502, performing analog-to-digital conversion on all acoustic emission signals of each step acquired by the sensor.
In this step, the fault diagnosis host receives all acoustic emission signals of each step at each sampling time, and performs analog-to-digital conversion on all acoustic emission signals so as to perform data processing on the acoustic emission signals. For example, at time tsTo time teLet s be the signal collected by each sensor in the sensor array on each step during the time period of (1)j(t), (j ═ 1, …, N), j is the jth sensor in the sensor array, and the signal is first analog-to-digital converted to obtain sj(m σ t), (j ═ 1, …, N), m is a positive integer, and σ t is the sampling interval.
S503, aiming at each step, carrying out envelope detection, propagation time difference correction and superposition processing on the sampling time sequence of each acoustic emission signal to obtain a plurality of processed acoustic emission signals.
S504, determining whether the elevator to be monitored has faults within a preset time period according to the value and the position information of the acoustic emission signal processed by each step at each sampling time.
The implementation process of S501 is similar to that of S301, and the implementation processes of S503-S504 may be similar to those of S302-S303, and are not described herein again.
And S505, displaying a fault monitoring result of the elevator to be monitored.
The fault diagnosis host is provided with an application program, if the fault of the elevator to be monitored is determined to occur within a preset time period, a main interface of the application program can display a fault monitoring result of the elevator to be monitored, wherein the fault monitoring result can be 'X fault exists in the X-th step' or the steps are displayed in a table form, if a certain step has a fault, the grid where the step is located is red to prompt a user of the fault of the step, and further, the red grid is clicked to check the specific fault existing in the step.
If it is determined that no fault occurs in the to-be-monitored time period, it may be displayed on the fault diagnosis host interface that "no step fault exists" or none of the grids in which the step is located are marked red.
Optionally, the fault diagnosis host may be connected to a state presenting device, which may be a computer, for displaying the fault monitoring result of the elevator to be monitored.
According to the monitoring method of the steps, the position information and the acoustic emission signals of each step of the elevator to be monitored at each sampling time within the preset time period are obtained, all the acoustic emission signals of each step collected by the sensor are subjected to analog-to-digital conversion processing, for each step, the sampling time sequence of each acoustic emission signal is subjected to envelope detection, propagation time difference correction and superposition processing, the processed acoustic emission signals are obtained, whether the elevator to be monitored breaks down within the preset time period is determined according to the value and the position information of the acoustic emission signal processed by each step at each sampling time, then the fault monitoring result of the elevator to be monitored is displayed, the fault hidden danger of the step can be found in time, and the user experience is improved.
Fig. 6 is a schematic structural diagram of a step fault monitoring device according to an embodiment of the present invention, as shown in fig. 6, the step fault monitoring device 60 includes: an acquisition module 601, a processing module 602, and a determination module 603.
The acquiring module 601 is used for acquiring position information and a plurality of acoustic emission signals of each step of the elevator to be monitored at each sampling time within a preset time period;
a processing module 602, configured to perform envelope detection, propagation time difference correction, and superposition processing on the sampling time sequence of each acoustic emission signal for each step to obtain a plurality of processed acoustic emission signals;
and the determining module 603 is configured to determine whether the elevator to be monitored has a fault within the preset time period according to the value and the position information of the acoustic emission signal processed by each step at each sampling time.
The apparatus provided in this embodiment may be used to implement the technical solutions of the above method embodiments, and the implementation principles and technical effects are similar, which are not described herein again.
On the basis of the embodiment in fig. 6, fig. 7 is a schematic structural diagram of a fault monitoring device for a step according to an embodiment of the present invention, and as shown in fig. 7, the fault monitoring device 60 for a step further includes: a receiving module 604 and a display module 605.
Optionally, the receiving module 604 is configured to receive position information of each step at each sampling time, which is sent by a position obtaining device of the elevator to be monitored;
the processing module 602 is further configured to acquire and obtain a plurality of acoustic emission signals of each step at each sampling time according to a plurality of sensors arranged on each step of the elevator to be monitored.
Optionally, the processing module 602 is further configured to perform analog-to-digital conversion processing on all acoustic emission signals of each step collected by the sensor.
Optionally, the display module 605 is configured to display a fault monitoring result of the elevator to be monitored; and the fault monitoring result is used for indicating whether the elevator to be monitored has faults within the preset time period.
The apparatus provided in this embodiment may be used to implement the technical solutions of the above method embodiments, and the implementation principles and technical effects are similar, which are not described herein again.
Fig. 8 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present invention, and as shown in fig. 8, the electronic device includes: a receiver, a processor, a transmitter, a memory, a display, and a computer program; the computer program is stored in the memory, and the processor executes the computer program to implement the step fault monitoring method of any one of the preceding aspects.
Alternatively, the memory may be separate or integrated with the processor.
When the memory is independently arranged, the voice interaction device also comprises a bus for connecting the memory and the processor.
The embodiment of the present invention further provides a computer-readable storage medium, where a computer executing instruction is stored in the computer-readable storage medium, and when a processor executes the computer executing instruction, the method for monitoring a fault of a cascade as described above is implemented.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described device embodiments are merely illustrative, and for example, the division of the modules is only one logical division, and other divisions may be realized in practice, for example, a plurality of modules may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or modules, and may be in an electrical, mechanical or other form.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing unit, or each module may exist alone physically, or two or more modules are integrated into one unit. The unit formed by the modules can be realized in a hardware form, and can also be realized in a form of hardware and a software functional unit.
The integrated module implemented in the form of a software functional module may be stored in a computer-readable storage medium. The software functional module is stored in a storage medium and includes several instructions to enable a computer device (which may be a personal computer, a server, or a network device) or a processor (processor) to execute some steps of the methods according to the embodiments of the present invention.
It should be understood that the Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor.
The memory may comprise a high-speed RAM memory, and may further comprise a non-volatile storage NVM, such as at least one disk memory, and may also be a usb disk, a removable hard disk, a read-only memory, a magnetic or optical disk, etc.
The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, the buses in the figures of the present invention are not limited to only one bus or one type of bus.
The storage medium may be implemented by any type or combination of volatile or non-volatile memory devices, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.
An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an Application Specific Integrated Circuits (ASIC). Of course, the processor and the storage medium may reside as discrete components in an electronic device or host device.
Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The program may be stored in a computer-readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (6)
1. A method of fault monitoring a step, comprising:
acquiring position information and a plurality of acoustic emission signals of each step of an elevator to be monitored at each sampling time within a preset time period;
for each step, carrying out envelope detection, propagation time difference correction and superposition processing on the sampling time sequence of each acoustic emission signal to obtain a plurality of processed acoustic emission signals;
determining whether the elevator to be monitored breaks down within the preset time period or not according to the value and the position information of the acoustic emission signal processed by each step at each sampling time;
the method for acquiring the position information and the acoustic emission signals of each stair of the elevator to be monitored at each sampling time in the preset time period comprises the following steps of:
receiving position information of each step at each sampling time sent by a position acquisition device arranged on the elevator to be monitored;
acquiring and acquiring a plurality of acoustic emission signals of each step at each sampling time according to a plurality of sensors arranged on each step of the elevator to be monitored;
before envelope detection, propagation time difference correction and superposition processing are performed on the sampling time sequence of each acoustic emission signal for each step to obtain a plurality of processed acoustic emission signals, the method further comprises:
performing analog-to-digital conversion processing on all acoustic emission signals of each step acquired by the sensor;
aiming at each step, carrying out envelope detection, propagation time difference correction and superposition processing on the sampling time sequence of each acoustic emission signal to obtain a plurality of processed acoustic emission signals, and the method comprises the following steps:
at time tsTo time teThe signal collected by each sensor in the sensor array on each step in the time period of (1) is sj(t, j is 1, …, N, j is the jth sensor in the sensor array, and the signal is subjected to analog-to-digital conversion to obtain a sampling time sequence S of the acoustic emission signalj(m σ t), j is 1, …, N, m is a positive integer, σ t is the sampling interval;
envelope detection is carried out on the sampling time sequence of each acoustic emission signal;
the propagation time difference correction is performed on the envelope signal after the envelope detection, and the propagation time difference correction is performed on the envelope signal after the envelope detection, which specifically includes:
calculating a propagation time difference correction value Tj＝(Xj(t) -X)/V, j is the jth sensor in the sensor array, j is 1, …, N, X1(t)，...，XN(t) the distance from the signal source to each sensor in the sensor array at the moment t, V is the propagation speed of the signal, and X is the distance from the signal source to each sensor in the sensor array after propagation time difference correction;
performing propagation time difference correction, SRj(mΔt)＝Sej(mΔt-Tj)，SRj(m Δ t), j 1, …, N for propagation moveout correctionOutputting the latter signal at the moment m delta t, wherein m is a positive integer;
j is the jth sensor in the sensor array, j is 1, …, N;
Δ t is a sampling interval of the propagation time difference correction output signal;
Sej(mΔt-Tj) J is 1, …, and N is an envelope signal output after envelope detection of a signal monitored by a sensor at time m Δ T-TjJ is 1, …, the value of N;
the method for processing the acoustic emission signals includes the steps of performing multiple superposition on propagation time difference correction signals output by propagation time difference correction to obtain a plurality of processed acoustic emission signals, and specifically includes:
when the equal weight overlapping is carried out,
SRj(m Δ t) is a signal output after envelope detection and propagation time difference correction processing;
SR (M Δ t) is the superposition output signal, M is 0, …, M positive integer; j is the jth sensor in the sensor array, j is 1, …, N;
or when a weighted overlap-add is performed,
SRj(m Δ t) is a signal output after envelope detection and propagation time difference correction processing; SR (M Δ t) is the superposition output signal, M is 0, …, M positive integer;
ajfor superimposing the timing signal SRj(m Δ t) weighting coefficients;
j is the jth sensor in the sensor array, j is 1, …, N.
2. The method of claim 1, further comprising:
displaying a fault monitoring result of the elevator to be monitored; and the fault monitoring result is used for indicating whether the elevator to be monitored has faults within the preset time period.
3. A fault monitoring device for a step, comprising:
the acquiring module is used for acquiring the position information and a plurality of acoustic emission signals of each step of the elevator to be monitored at each sampling time within a preset time period;
the processing module is used for carrying out envelope detection, propagation time difference correction and superposition processing on the sampling time sequence of each acoustic emission signal aiming at each step to obtain a plurality of processed acoustic emission signals;
the determining module is used for determining whether the elevator to be monitored has faults within the preset time period according to the value and the position information of the acoustic emission signal processed by each step at each sampling time;
the acquiring module is specifically used for receiving the position information of each step at each sampling time sent by the position acquiring device of the elevator to be monitored;
acquiring and acquiring a plurality of acoustic emission signals of each step at each sampling time according to a plurality of sensors arranged on each step of the elevator to be monitored;
the processing module is also used for carrying out analog-to-digital conversion processing on all the acoustic emission signals of each step acquired by the sensor;
the processing module is specifically configured to perform at time tsTo time teThe signal collected by each sensor in the sensor array on each step in the time period of (1) is sj(t, j is 1, …, N, j is the jth sensor in the sensor array, and the signal is subjected to analog-to-digital conversion to obtain a sampling time sequence S of the acoustic emission signalj(m σ t), j is 1, …, N, m is a positive integer, σ t is the sampling interval;
envelope detection is carried out on the sampling time sequence of each acoustic emission signal;
the propagation time difference correction is performed on the envelope signal after the envelope detection, and the propagation time difference correction is performed on the envelope signal after the envelope detection, which specifically includes:
calculating a propagation time difference correction value Tj＝(Xj(t) -X)/V, j is sensor arrayThe jth sensor in the column, j ═ 1, …, N, X1(t)，...，XN(t) the distance from the signal source to each sensor in the sensor array at the moment t, V is the propagation speed of the signal, and X is the distance from the signal source to each sensor in the sensor array after propagation time difference correction;
performing propagation time difference correction, SRj(mΔt)＝Sej(mΔt-Tj)，SRj(m Δ t), j is 1, …, N is the output of the signal after propagation time difference correction at time m Δ t, m is a positive integer;
j is the jth sensor in the sensor array, j is 1, …, N;
Δ t is a sampling interval of the propagation time difference correction output signal;
Sej(mΔt-Tj) J is 1, …, and N is an envelope signal output after envelope detection of a signal monitored by a sensor at time m Δ T-TjJ is 1, …, the value of N;
the method for processing the acoustic emission signals includes the steps of performing multiple superposition on propagation time difference correction signals output by propagation time difference correction to obtain a plurality of processed acoustic emission signals, and specifically includes:
when the equal weight overlapping is carried out,
SRj(m Δ t) is a signal output after envelope detection and propagation time difference correction processing;
SR (M Δ t) is the superposition output signal, M is 0, …, M positive integer; j is the jth sensor in the sensor array, j is 1, …, N;
or when a weighted overlap-add is performed,
SRj(m Δ t) is a signal output after envelope detection and propagation time difference correction processing; SR (M Δ t) is the superposition output signal, M is 0, …, M positive integer;
ajfor superimposing the timing signal SRj(m Δ t) weighting coefficients;
j is the jth sensor in the sensor array, j is 1, …, N.
4. A fault monitoring system for a step, comprising:
the system comprises a position acquisition device, a plurality of sensors arranged on each step of the elevator to be monitored and a fault diagnosis host machine;
the position acquisition device is used for acquiring the position information of each step of the elevator to be monitored;
each sensor on each step is for monitoring an acoustic emission signal;
the fault diagnosis host is used for determining whether the elevator to be monitored has faults within a preset time period according to the value and the position information of the acoustic emission signal processed by each cascade at each sampling time;
the position acquisition device is specifically configured to:
acquiring the time position relation of each step of the escalator and sending the time position relation of each step to the fault diagnosis host;
the fault diagnosis host is specifically used for acquiring data of the plurality of sensors during the operation of each step;
the fault diagnosis host is specifically used for carrying out envelope detection, propagation time difference correction and superposition processing on the sampling time sequence of each acoustic emission signal aiming at each step to obtain a plurality of processed acoustic emission signals, wherein the processed acoustic emission signals of each step comprise the time of each step signal monitored by the sensor array, and whether a step has a fault or not is judged according to the value of each step processed acoustic emission signal at each sampling time and the time corresponding to the time-position relationship of each step;
the system further comprises: the processing device is specifically used for performing analog-to-digital conversion processing on all the acoustic emission signals of each step acquired by the sensor;
the fault diagnosis host is specifically configured to perform at time tsTo time teThe signal collected by each sensor in the sensor array on each step in the time period of (1) is sj(t, j is 1, …, N, j is the jth sensor in the sensor array, and the signal is subjected to analog-to-digital conversion to obtain a sampling time sequence S of the acoustic emission signalj(m σ t), j is 1, …, N, m is a positive integer, σ t is the sampling interval;
envelope detection is carried out on the sampling time sequence of each acoustic emission signal;
the propagation time difference correction is performed on the envelope signal after the envelope detection, and the propagation time difference correction is performed on the envelope signal after the envelope detection, which specifically includes:
calculating a propagation time difference correction value Tj＝(Xj(t) -X)/V, j is the jth sensor in the sensor array, j is 1, …, N, X1(t)，…，XN(t) the distance from the signal source to each sensor in the sensor array at the moment t, V is the propagation speed of the signal, and X is the distance from the signal source to each sensor in the sensor array after propagation time difference correction;
performing propagation time difference correction, SRj(mΔt)＝Sej(mΔt-Tj)，SRj(m Δ t), j is 1, …, N is the output of the signal after propagation time difference correction at time m Δ t, m is a positive integer;
j is the jth sensor in the sensor array, j is 1, …, N;
Δ t is a sampling interval of the propagation time difference correction output signal;
Sej(mΔt-Tj) J is 1, …, and N is an envelope signal output after envelope detection of a signal monitored by a sensor at time m Δ T-TjJ is 1, …, the value of N;
the method for processing the acoustic emission signals includes the steps of performing multiple superposition on propagation time difference correction signals output by propagation time difference correction to obtain a plurality of processed acoustic emission signals, and specifically includes:
when the equal weight overlapping is carried out,
SRj(m Δ t) is a signal output after envelope detection and propagation time difference correction processing;
SR (M Δ t) is the superposition output signal, M is 0, …, M positive integer; j is the jth sensor in the sensor array, j is 1, …, N;
or when a weighted overlap-add is performed,
SRj(m Δ t) is a signal output after envelope detection and propagation time difference correction processing; SR (M Δ t) is the superposition output signal, M is 0, …, M positive integer;
ajfor superimposing the timing signal SRj(m Δ t) weighting coefficients;
j is the jth sensor in the sensor array, j is 1, …, N.
5. The system of claim 4, further comprising: the state presentation device is connected with the fault diagnosis host through the Ethernet;
the state presenting device is used for displaying a fault monitoring result of the elevator to be monitored; and the fault monitoring result is used for indicating whether the elevator to be monitored has faults within a preset time interval.
6. The system of claim 5, wherein the location acquisition device comprises: the device comprises a position calculation unit, an electronic identifier arranged on each step, a reading unit of the electronic identifier of the step, a rotating speed sensor and a pressure sensor.
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| CN101624159A (en) * | 2008-07-10 | 2010-01-13 | 东芝电梯株式会社 | Abnormity diagnosis system of passenger conveyer |
| CN201864439U (en) * | 2010-11-11 | 2011-06-15 | 蒋燕青 | Escalator fault self-diagnosis device |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN101624159A (en) * | 2008-07-10 | 2010-01-13 | 东芝电梯株式会社 | Abnormity diagnosis system of passenger conveyer |
| CN201864439U (en) * | 2010-11-11 | 2011-06-15 | 蒋燕青 | Escalator fault self-diagnosis device |
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