WO2020147710A1

WO2020147710A1 - Elevator fault diagnosis method, apparatus, device and medium

Info

Publication number: WO2020147710A1
Application number: PCT/CN2020/071967
Authority: WO
Inventors: 赵阳; 李红星
Original assignee: 西人马帝言(北京)科技有限公司
Priority date: 2019-01-18
Filing date: 2020-01-14
Publication date: 2020-07-23
Also published as: CN109896382B; CN109896382A

Abstract

An elevator fault diagnosis method, apparatus, device and medium. The method comprises: if determined that a current braking operation of an elevator brake is triggered, obtaining the current number of times that the braking operation of the elevator brake has been triggered; and if the current number of triggered times is greater than a preset threshold number N of triggered times, and braking brake energy generated by the current braking operation meets an abnormal braking condition determined according to the braking brake energy generated during first to Nth braking operations, determining that an elevator installed with the elevator brake moves abnormally. The present elevator fault diagnosis method, apparatus, device and medium may improve the degree of accuracy with which elevator faults are determined.

Description

Elevator fault diagnosis method, device, equipment and medium

Cross-reference of related applications

This application claims the priority of the Chinese patent application 201910106138.2 entitled "Elevator Fault Diagnosis Method, Apparatus, Equipment and Medium" filed on January 18, 2019. The entire content of this application is incorporated herein by reference.

Technical field

This application relates to the field of machinery, in particular to an elevator fault diagnosis method, device, equipment and medium.

Background technique

In the process of urbanization in my country, the application of elevators is very common. Elevator is an indispensable part of modern architecture. It not only undertakes the transportation function, but is also an important way of travel.

In real life, while elevators bring more convenience to people, their malfunctions will also seriously affect personal safety. In recent years, elevator safety accidents have occurred in many parts of our country. Elevator trapping, elevator squeezing and elevator falling have frequently occurred, causing great casualties. Elevator safety has become one of the most concerned issues in the current society. .

As the elevator needs to run for a long time, its safety hazards are great, which undoubtedly increases the difficulty of elevator safety management. The elevator brake involved in elevator safety management is an electromechanical device that prevents the elevator from moving again when the elevator car is at a standstill and the motor is in a power-off state. It is one of the most important safety guarantees for elevators. Once the elevator brake fails, it will cause fatal consequences. But at present, there are few effective methods to prevent brake failures, and generally only manual inspection and maintenance are possible. This method of manual inspection and maintenance has low accuracy in determining elevator faults.

Summary of the invention

The elevator fault diagnosis method, device, equipment, and medium provided by the embodiments of the present application can improve the accuracy of determining elevator faults.

According to an aspect of the embodiments of the present application, a method is provided, including:

If it is determined that the current brake operation of the elevator brake is triggered, obtain the current number of times the brake operation of the elevator brake has been triggered;

If the current number of triggers is greater than the preset trigger number threshold N and the brake energy generated by the current braking operation meets the abnormal braking determined based on the brake energy generated from the first to the Nth braking operation The condition is to determine the abnormal movement of the elevator with the elevator brake, where N is a positive integer.

In an optional implementation manner, the method further includes:

Obtain the voltage signal monitored by the vibration sensor set on the elevator brake and within the preset time period from the triggering of the current braking operation;

The wavelet packet decomposition technique is used to decompose the voltage signal into voltage sub-signals in multiple sub-bands, and the brake energy corresponding to the multiple voltage sub-signals is used to calculate the brake energy generated by the current braking operation.

In an optional implementation manner, using the brake energy corresponding to the multiple voltage sub-signals to calculate the brake energy generated by the current braking operation specifically includes:

Normalize the brake energy corresponding to multiple voltage sub-signals to obtain multiple normalized brake energy;

The sum of multiple normalized brake energies is used as the brake energy generated by the current braking operation.

In an optional implementation, the abnormal braking condition includes: the braking energy generated by the current braking operation deviates from the normal distribution model,

Among them, the normal distribution model is established based on the braking energy generated from the first to the Nth braking operations.

In an alternative embodiment, the abnormal braking condition includes: the braking energy generated by the current braking operation exceeds the normal range of braking energy,

Among them, the normal zone of the brake energy is determined based on the brake energy generated from the first to the Nth brake operation.

In an optional embodiment, the normal braking energy interval includes a first normal braking energy interval and a second normal braking energy interval,

Among them, the upper boundary of the first normal braking energy interval is the product of the average value of the brake energy generated from the first to the Nth braking operations and the first amplification factor, and the lower boundary of the first normal braking energy interval The boundary is the product of the average value and the first attenuation coefficient,

The upper boundary of the second normal braking energy interval is the product of the average value and the second amplification coefficient, and the lower boundary of the second normal braking energy interval is the product of the average value and the second attenuation coefficient.

The first amplification factor and the second amplification factor are both greater than 1, and the first amplification factor is less than the second amplification factor,

The first attenuation coefficient and the second attenuation coefficient are both less than 1, and the first attenuation coefficient is greater than the second attenuation coefficient.

In an optional implementation manner, after obtaining the current number of triggers of the brake operation of the elevator brake, the method further includes:

If the current number of triggers is greater than N and the braking energy generated by the current braking operation exceeds the first normal braking energy interval and is located in the second normal braking energy interval, send an early warning instruction for prompting checking the elevator brake;

If the current number of triggers is greater than N and the brake energy generated by the current braking operation exceeds the second normal range of braking energy, an alarm instruction for instructing the elevator brake to be repaired immediately is sent.

In an optional implementation manner, determining the current braking operation that triggers the elevator brake includes:

If it is detected that the elevator changes from a moving state to a stationary state in the running direction, it is determined that the elevator brake triggers the current braking operation.

In an optional implementation manner, the method further includes:

If it is detected that the running speed of the elevator exceeds the preset normal speed range, it is determined that the elevator is moving abnormally.

According to another aspect of the embodiments of the present application, there is provided an elevator fault diagnosis device, including:

The first acquisition module is used to acquire the current number of times of the brake operation of the elevator brake that has been triggered if it is determined that the current brake operation of the elevator brake is triggered;

Determining the abnormality module, used if the current number of triggers is greater than the preset trigger number threshold N and the brake energy generated by the current brake operation meets the brake brake generated from the first to the Nth brake operation The abnormal braking condition determined by the energy determines the abnormal movement of the elevator with the elevator brake.

Memory for storing programs;

The processor is configured to run a program stored in the memory to execute the elevator fault diagnosis method provided by the embodiment of the present application.

According to another aspect of the embodiments of the present application, a computer storage medium is provided, and computer program instructions are stored on the computer storage medium. The computer program instructions are executed by a processor to implement the elevator fault diagnosis method provided by the embodiments of the present application.

According to the elevator fault diagnosis method, device, equipment and medium in the embodiments of the present application, the brake energy generated from the first to the Nth brake operation is used to determine the abnormal braking condition of the elevator brake, and the current Whether the brake energy generated by the braking operation meets the abnormal braking conditions is used to determine whether the elevator moves abnormally. As the number of braking increases, the braking performance of the elevator brake is often gradually and chronically decayed due to wear. For an elevator brake, the braking performance of the first N brakes is normal. This solution uses the abnormal braking conditions established by the brake energy generated by the previous N braking operations to determine whether the elevator is faulty, which can improve the accuracy of determining the elevator fault.

BRIEF DESCRIPTION

The features, advantages, and technical effects of exemplary embodiments of the present application will be described below with reference to the drawings.

Figure 1 is a system architecture diagram showing an elevator fault diagnosis system provided according to an embodiment of the present application;

Figure 2 is a schematic flow chart showing an elevator fault diagnosis method according to an embodiment of the present application;

Figure 3 shows a section of voltage signal that combines the photoelectric signal collected by the photoelectric sensor;

Fig. 4 shows a partially amplified signal of the voltage signal in Fig. 3;

Figure 5 shows the brake energy generated by the braking operation calculated by S2422;

Figure 6 shows a schematic structural diagram of an elevator fault diagnosis device according to an embodiment of the present application;

Figure 7 is a structural diagram of an exemplary hardware architecture of an elevator fault diagnosis device in an embodiment of the present application.

detailed description

The implementation of the present application will be described in further detail below with reference to the drawings and examples. The detailed description and drawings of the following embodiments are used to exemplarily illustrate the principles of the present application, but cannot be used to limit the scope of the present application, that is, the present application is not limited to the described embodiments.

In the description of this application, it should be noted that, unless otherwise specified, "plurality" means two or more; the terms "upper", "lower", "left", "right", etc. indicate the orientation or position The relationship is only for the convenience of describing the application and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation of the application. In addition, the terms "first", "second", etc. are for descriptive purposes only, and cannot be understood as indicating or implying relative importance.

In the description of this application, it should also be noted that, unless otherwise clearly specified and limited, the terms "installation", "connection", and "connection" should be understood in a broad sense, for example, it can be a fixed connection or a Disassembly connection, or integral connection; either directly connected or indirectly connected through an intermediary. For those of ordinary skill in the art, the specific meaning of the above-mentioned terms in this application can be understood according to specific circumstances.

Abnormal elevator brake is one of the reasons for abnormal elevator movement. Elevator brake abnormalities include the elevator brake too loose and the elevator brake too tight. When the elevator brake is too loose, the elevator sliding phenomenon may occur. That is, when the elevator changes from a moving state to a stationary state, the elevator brake is too loose and the elevator is not locked, causing the elevator to not stop at the corresponding floor for the first time, and the elevator car is displaced again. When the elevator brake is too tight, the brake energy of the elevator brake may be too small.

In addition, if the power components are abnormal, there may be phenomena such as "wire rope slipping", "rolling", "topping", "squatting bottom" and other phenomena during the traction of the car. Safety.

In addition, if the elevator does not stop to the predetermined position on each floor, or the elevator is too fast or too slow during operation, it may cause damage due to the abnormal movement of the elevator.

However, if the above-mentioned faults are inspected and repaired according to the existing manual inspection and repair methods, it is difficult for elevator maintenance personnel to accurately determine whether the elevator moves abnormally. Therefore, there is a need for an elevator fault diagnosis solution that can improve the accuracy of determining elevator faults.

In order to better understand the present application, the elevator fault diagnosis method, device, equipment and medium according to the embodiments of the present application will be described in detail below with reference to the accompanying drawings. It should be noted that these embodiments are not used to limit the scope of the disclosure of the present application.

Figure 1 is a system architecture diagram showing an elevator fault diagnosis system provided according to an embodiment of the present application. As shown in Figure 1, the elevator fault diagnosis system 10 includes: a vibration sensor 11 for detecting the vibration intensity of the elevator brake, a motion monitoring module 12 for monitoring the real-time running status of the elevator, and a fault detection for judging whether the elevator is moving abnormally Module 13.

In some embodiments of the present application, the vibration sensor 11 is fixed on the elevator brake, and is used to convert the vibration intensity of the elevator brake into an electric signal.

In an example, the vibration sensor 11 may specifically be a piezoelectric acceleration sensor. Specifically, the piezoelectric acceleration sensor can be used to convert the vibration intensity of the elevator brake into a voltage signal. The voltage signal can reflect the brake energy of the current braking operation.

In some embodiments of the present application, the real-time running state of the elevator includes the moving state and the stopping state in the running direction of the elevator.

In some embodiments, the motion monitoring module 12 may include a three-axis acceleration sensor, and/or a photoelectric sensor and other sensing devices capable of monitoring the running state of the elevator.

In one embodiment, the three-axis acceleration sensor may be arranged on the elevator car, for example, on the top of the elevator car, and can detect the acceleration generated in the running direction of the elevator.

In one embodiment, the photoelectric sensor includes: a light signal transmitting terminal and a light signal receiving terminal arranged oppositely at the corresponding position of the elevator car, and a baffle arranged at a predetermined position on each floor. Specifically, when the elevator passes through each floor or stops at a predetermined position of each floor, the optical signal sent by the optical signal transmitting terminal will be blocked by the blocking sheet and cannot enter the optical signal receiving terminal.

In this embodiment, the photoelectric sensor can generate a photoelectric signal. The photoelectric signal may include a high-voltage sub-signal and a low-voltage sub-signal. Specifically, when the optical signal receiving end receives the optical signal sent by the optical signal transmitting end, a low-voltage sub-signal is generated; when the optical signal receiving end cannot receive the optical signal because of the blocking sheet, a high-voltage sub-signal is generated.

In some embodiments of the present application, the fault detection module 13 can determine whether the elevator is moving abnormally according to the signal detected by the vibration sensor 11 and the real-time running state of the elevator monitored by the motion monitoring module 12.

In some embodiments of the present application, the fault detection module 13 may be directly arranged in the elevator device, and connected to the vibration sensor 11 and the motion monitoring module 12 in wired communication. Or, it is set in a remote server and is connected to the vibration sensor 11 and the motion monitoring module 12 in wireless communication.

Figure 2 is a schematic flow chart showing an elevator fault diagnosis method according to an embodiment of the present application. Wherein, the execution subject of each step of the elevator fault diagnosis method provided by the embodiment of the present application may be the fault detection module 13.

As shown in FIG. 2, the elevator fault diagnosis method 200 in this embodiment may include the following steps S210 and S220:

S210: If it is determined that the current brake operation of the elevator brake is triggered, obtain the current number of times the brake operation of the elevator brake has been triggered.

In some embodiments of the present application, the elevator brake may also be specifically an elevator brake, an elevator brake shoe, and other devices that can brake the elevator after the elevator motor is powered off.

In actual usage scenarios, the elevator brake has two states: loose brake and brake. Specifically, when the motor is energized, it is in a brake release state, and when the motor is deenergized, it is in a brake state.

In some embodiments, the elevator brake may be provided on the elevator traction device.

In some embodiments of the present application, the braking operation of the elevator brake refers to an action triggered to enable the elevator brake to brake the elevator.

Specifically, before the elevator brake triggers the braking operation, the elevator brake is in a brake release state, and the elevator is in a moving state in the elevator running direction. After the elevator brake triggers the braking operation, the elevator brake is in the brake state, and the elevator is in the stopped state in the elevator running direction.

In some embodiments, the current number of times the brake operation of the elevator brake has been triggered includes the result of counting the current brake operation.

As an example, if the current brake operation is the 10001st brake after the elevator brake is put into use, the current number of triggers is 10001.

In some embodiments of the present application, the specific implementation manner for determining the current braking operation to trigger the elevator brake in S210 includes:

If the monitored elevator changes from a moving state to a stationary state in the running direction, it is determined that the elevator brake triggers the current braking operation.

In some embodiments, the real-time status of the elevator in the running direction can be monitored by a three-axis acceleration sensor and/or a photoelectric sensor.

In one embodiment, the three-axis acceleration sensor is used to detect the elevator acceleration component in the running direction of the elevator, and the real-time travel speed of the elevator in the running direction can be obtained by integrating the acceleration component or the like. Specifically, when the real-time running speed of the elevator in the running direction is not 0, the elevator is in a moving state, and when the real-time running speed of the elevator in the running direction is 0, the elevator is in a stationary state.

In another embodiment, the real-time running state of the elevator can be judged by analyzing the photoelectric signal collected by the photoelectric sensor. Specifically, when the elevator passes a predetermined position on each floor, it can collect high-voltage optoelectronic signals, and in other cases, collect low-voltage optoelectronic signals.

In another embodiment, in order to further improve the accuracy of the judgment of the abnormal movement of the elevator, it can be considered that two conditions must be met for the elevator to stop normally: one is to stop accurately to the predetermined position of each floor, and the other is that the traveling speed is zero.

Therefore, when the three-axis acceleration sensor is used to determine that the elevator running speed is 0, and the photoelectric sensor generates a high-voltage optoelectronic signal in real time, it is determined that the elevator is converted from a moving state to a stopped state.

S220: If the current number of triggers is greater than the preset trigger number threshold N and the brake energy generated by the current braking operation meets the abnormality determined based on the brake energy generated from the first to the Nth braking operation The braking condition determines the abnormal movement of the elevator with the elevator brake. Among them, N is a positive integer.

According to the elevator fault diagnosis method in the embodiment of the present application, the brake energy generated from the first to the Nth brake operation is used to determine the abnormal braking condition of the elevator brake, and the brake generated by the current brake operation is used. Whether the dynamic brake energy meets the abnormal braking conditions to determine whether the elevator moves abnormally. As the number of braking increases, the braking performance of the elevator brake is often gradually and chronically decayed due to wear. For an elevator brake, the braking performance of the first N brakes is normal. This solution uses the abnormal braking conditions established by the brake energy generated by the previous N braking operations to determine whether the elevator is faulty, which can improve the accuracy of determining the elevator fault.

At the same time, compared to manual inspection and maintenance methods, the method provided in the embodiments of the present application can detect abnormal elevator movement caused by elevator brake failure, elevator traction rope damage, etc., before elevator brake failure and elevator accident occur. , To further effectively prevent the occurrence of major elevator safety accidents. Moreover, it is more intelligent, reduces the error of manual judgment, and improves the reliability of fault judgment. And, it is possible to grasp the state of the elevator brake and the running state of the elevator.

In addition, for each elevator brake, the embodiment of the present application can determine the abnormal braking condition based on the braking energy generated by the previous N braking operations, can set the abnormal braking condition adaptively, and automatically Diagnose abnormal elevator movement adaptively.

In addition, the method provided by the embodiments of the present application can be applied to various and different types of elevator brakes, and the accuracy of detecting faults is high.

In some embodiments of the present application, the threshold N of the number of triggers may be an empirical value set according to the structural characteristics, failure mechanism, service life, and service life of the elevator brake.

For example, for a type of elevator brake, the threshold N of the number of triggers can be set to 10000 times. In this example, for the elevator brake, the first 10,000 braking operations are defaulted to normal braking.

In some embodiments of the present application, in order to be able to quantitatively measure whether the elevator moves abnormally, the abnormal braking condition includes: the braking energy generated by the current braking operation deviates from the normal distribution model. Among them, the normal distribution model is established based on the braking energy generated from the first to the Nth braking operations.

In this embodiment, if the elevator brake can brake normally, the brake energy generated by the brake operation of the elevator brake obeys the normal distribution model. Therefore, a normal distribution model can be established based on the brake energy generated from the first to the Nth brake operation to characterize the distribution law of the brake energy generated by the normal braking operation of the elevator brake.

In some embodiments, if the abnormal braking condition includes: the braking energy generated by the current braking operation deviates from the normal distribution model, the specific implementation of S220 includes S221 to S223:

S221: If the current number of triggers is greater than N, determine whether the brake energy generated by the current braking operation obeys the normal distribution model.

S222: If the braking energy generated by the current braking operation obeys the normal distribution model, it is considered that the current braking operation is normal, that is, the elevator braking is normal and the elevator does not move abnormally.

S223: If the brake energy generated by the current braking operation deviates from the normal distribution model, it is considered that the elevator moves abnormally.

In some other embodiments of the present application, in order to be able to quantitatively measure whether the elevator moves abnormally, the abnormal braking condition includes: the braking energy generated by the current braking operation exceeds the normal interval of braking energy.

In some embodiments, the normal braking energy interval [b, a] may be a numerical interval expanded from the average value of the braking energy generated from the first to the Nth braking operations as the center.

In some embodiments, in order to further improve the accuracy of determining elevator failure, the normal braking energy interval may include a first normal braking energy interval [b ₁ , a ₁ ] and a second normal braking energy interval [b ₂ , a ₂ ].

Specifically, when the braking energy generated by the current braking operation is within the first braking energy normal interval, it means that the elevator braking has no fault; when it exceeds the first braking energy normal interval and does not exceed the second braking energy In the normal interval, it indicates a slight failure of the elevator brake; when it exceeds the second normal interval of braking energy, it indicates a serious failure of the elevator brake.

It should be noted that, in order to be able to more precisely determine the degree of failure of the elevator brake, the present application may further refine the normal brake energy interval into multiple normal brake energy intervals.

In some embodiments, the first normal braking energy interval [b ₁ , a ₁ ] may be completely included in the second normal braking energy interval [b ₂ , a ₂ ].

Among them, the upper boundary of the first braking energy normal interval is the average value of the brake energy generated from the first to the Nth braking operation

Multiplied by the first amplification factor α ₁ , the lower boundary of the first braking energy normal interval is the average value

Multiplied by the first attenuation coefficient β ₁ ,

The upper boundary of the second braking energy normal interval is the average value

Multiplied by the second amplification factor α ₂ , the lower boundary of the second normal interval of braking energy is the average value

Multiplied by the second attenuation coefficient β ₂ ,

Both the first amplification factor α ₁ and the second amplification factor α ₂ are greater than 1, and the first amplification factor α _{1 is} smaller than the second amplification factor α ₂ . Both the first attenuation coefficient β ₁ and the second attenuation coefficient β ₂ are less than 1, and the first attenuation coefficient β _{1 is} greater than the second attenuation coefficient β ₂ .

In an embodiment, the first amplification factor α ₁ , the second amplification factor α ₂ , the first attenuation coefficient β ₁ and the second attenuation coefficient β ₂ may all be an empirical value.

As an example, the first amplification factor α _{1 may be} 130%, and the first attenuation coefficient β _{1 may be} 70%. The second amplification factor α _{2 may be} 150%, and the second attenuation coefficient β _{2 may be} 50%.

In this embodiment, by setting the first normal braking energy interval and the second normal braking energy interval, it is possible to more accurately measure whether the elevator moves abnormally, and to determine the degree of failure.

In some embodiments of the present application, if the abnormal braking condition is that the brake energy generated by the current braking operation exceeds the normal interval of braking energy, and the normal interval of braking energy may include the first normal interval of braking energy and The second normal zone of braking energy.

At this time, after S210, the elevator fault diagnosis method 200 further includes S231 and S232:

S231: If the current number of triggers is greater than N and the brake energy generated by the current braking operation exceeds the first normal interval of braking energy and is within the second normal interval of braking energy, send a prompt for checking the elevator brake Early warning instructions.

In this step, the failure degree of the elevator brake is relatively low. At this time, the elevator maintenance personnel can be notified to inspect and repair the elevator brake only through an early warning instruction.

In one embodiment, since the elevator brake is only a minor fault, in order not to affect the user's use of the elevator, no other control is performed on the normal operation of the elevator.

S232: If the current number of triggers is greater than N and the brake energy generated by the current braking operation exceeds the second normal interval of brake energy, send an alarm instruction for instructing to repair the elevator brake immediately.

In this step, the failure degree of the elevator brake is relatively high. At this time, the elevator maintenance personnel can be notified to inspect and repair the elevator brake only through the early warning instruction.

In one embodiment, in order to ensure personal safety and property safety, in addition to sending an alarm command in S232, the elevator can also be controlled to stop working until the elevator maintenance personnel complete the maintenance work on the elevator brake.

Through this embodiment, when the braking energy generated by the current braking operation exceeds the normal range of braking energy, it is possible to automatically and timely give a warning or warning to relevant personnel. Compared with the existing manual inspection and maintenance methods, it has bought more time for the timely repair of the problem.

In some embodiments of the present application, the elevator fault diagnosis method 200 further includes S241 and S242:

S241: Obtain a voltage signal monitored by a vibration sensor provided on the elevator brake and within a preset time period from the triggering of the current braking operation.

In some embodiments, the vibration sensor in S241 may be specifically implemented as a piezoelectric acceleration sensor.

In an embodiment, the voltage signal collected in S241 may be an A/D sampling signal.

As an example, Figure 3 shows a section of voltage signal that combines the photoelectric signal collected by the photoelectric sensor. Among them, FIG. 3 uses time as the abscissa (unit: ×10 ⁵ milliseconds) and voltage intensity as the ordinate (unit: volt).

As shown in Figure 3, the photoelectric signal includes spaced voltage signals with extremely large amplitudes. When a voltage signal with a large amplitude value appears in Figure 3, the elevator passes through the preset positions of each floor. If the three-axis acceleration sensor calculates that the elevator speed is 0 at the time corresponding to the extremely high voltage signal, it is determined that the elevator at that time has changed from the moving state to the stopped state.

To further illustrate the process, FIG. 4 shows a partial amplified signal of the voltage signal in FIG. 3. Among them, FIG. 3 uses time as the abscissa (unit: ×10 ⁵ milliseconds) and voltage intensity as the ordinate (unit: volt).

As shown in Figure 4, before and after the brake operation of the elevator brake is performed, it can be monitored: the first sub-signal indicating that the elevator is in a stationary state, the second sub-signal indicating that the elevator is in motion, and the braking operation The third sub-signal of the operation.

It can be seen from Figure 4 that when the elevator is at a standstill, the voltage amplitude of the monitored first sub-signal is lower; when the elevator is in motion, the voltage amplitude of the second sub-signal monitored is greater than that of the first sub-signal Value: When the elevator brake is performing a braking operation, the monitored voltage amplitude of the third sub-signal is significantly higher than the voltage amplitude of the second sub-signal.

In this embodiment, after the elevator brake performs the braking operation, the elevator may move abnormally due to phenomena such as elevator sliding. Within the preset time period from the triggering of the current braking operation, the voltage signal detected when the elevator moves abnormally is different from the voltage signal detected when the elevator is at a standstill. Therefore, it is possible to collect the voltage signal within the preset time period from the triggering of the current braking operation to analyze and determine whether the elevator moves abnormally.

S242: Use wavelet packet decomposition technology to decompose the voltage signal into voltage sub-signals in multiple sub-frequency bands, and use the brake energy corresponding to the multiple voltage sub-signals to calculate the brake energy generated by the current braking operation.

In some embodiments, the wavelet packet decomposition technique may be specifically an N-layer wavelet packet decomposition technique. Specifically, the voltage signal S obtained in S241 may be decomposed into voltage sub-signals in 2 ^N sub-bands from low frequency to high frequency.

In a preferred embodiment, three-layer wavelet packet decomposition can be performed on the voltage signal S. Specifically, the voltage signal S and the voltage sub-signals of the 8 sub-bands satisfy formula (1):

S=S ₃₀ +S ₃₁ +S ₃₂ +S ₃₃ +S ₃₄ +S ₃₅ +S ₃₆ +S ₃₇ (1)

Among them, S _3j represents the voltage sub-signal on the j+1th sub-band in the order of frequency from low to high. j=0,1,...,7.

If it is assumed that in the original voltage signal S, the lowest frequency component is 0 and the highest frequency component is 1, then the frequency range represented by the extracted S _3j is shown in Table 1.

Table 1

Through this embodiment, the use of wavelet packet decomposition coefficients can provide a finer decomposition of the high-frequency part of the voltage signal S, and this decomposition has neither redundancy nor omission. Therefore, for signals containing a large amount of medium and high frequency information Able to perform better time-frequency localized analysis.

In some embodiments, in S242, the calculation formula (2) of the brake energy corresponding to each voltage sub-signal:

Among them, E _3j represents the brake energy corresponding to the voltage sub-signal S _3j . Among them, x _jk represents the signal component of the voltage sub-signal S _3j .

In some embodiments, S242 specifically includes S2421 and S2422:

S2421: Perform normalization processing on the brake energy corresponding to the multiple voltage sub-signals to obtain multiple normalized brake energy.

In some embodiments, after the original voltage signal S is decomposed by the three-layer wavelet packet decomposition technique, the energy feature vector T composed of the brake energy corresponding to the eight voltage sub-signals can be obtained.

Specifically, the energy feature vector T satisfies formula (3):

T=[E ₃₀ , E ₃₁ , E ₃₂ , E ₃₃ , E ₃₄ , E ₃₅ , E ₃₆ , E ₃₇ ] (3)

In an embodiment, the energy feature vector T is normalized, and the obtained normalized energy feature vector T′ satisfies formula (4)

T′=[E ₃₀ /E, E ₃₁ /E, E ₃₂ /E, E ₃₃ /E, E ₃₄ /E, E ₃₅ /E, E ₃₆ /E, E ₃₇ /E] (4)

Among them, E _3j /E represents the normalized value of E _3j , and E satisfies formula (5):

In this embodiment, when the energy is large, the brake energy corresponding to each voltage sub-signal is often a large value, and data analysis can be facilitated by normalization processing.

S2422: Use the sum of multiple normalized brake energies as the brake energy generated by the current braking operation.

As an example, the brake energy E _x generated by the current braking operation satisfies formula (6):

E _x =E ₃₀ /E+E ₃₁ /E+E ₃₂ /E+E ₃₃ /E+E ₃₄ /E+E ₃₅ /E+E ₃₆ /E+E ₃₇ /E

(6)

As an example, Figure 5 shows the brake energy generated by the braking operation calculated by S2422. Among them, the abscissa in Fig. 5 is time (unit: second), and the ordinate in Fig. 5 is dimensionless.

Figure 5 shows the brake energy generated by the three braking operations obtained after using wavelet packet decomposition technology and normalization processing in 450 seconds.

In some embodiments of the present application, the elevator fault diagnosis method 200 further includes S250:

S250: If it is detected that the running speed of the elevator exceeds the preset normal speed range, it is determined that the elevator moves abnormally.

In some embodiments, the running speed of the elevator may be a speed value monitored by a three-axis acceleration sensor.

In some embodiments, the normal speed interval may be preset by the elevator manufacturer or the like in advance. Specifically, multiple elevator operation states can be divided, for example, acceleration start state, calculation operation state, and deceleration stop state. Correspondingly, different speed normal intervals can be set for each elevator operating state.

In some embodiments of the present application, the elevator fault diagnosis method 200 further includes:

If it is detected that the elevator is in a stopped state at an unpredicted position, it is determined that the elevator is moving abnormally.

Specifically, when the three-axis acceleration sensor is used to determine that the elevator running speed is 0, and the photoelectric sensor generates a low-voltage optoelectronic signal in real time, it can be determined that the elevator has not stopped at the correct landing position, which is an abnormal elevator movement.

It should be noted that the predetermined position in this embodiment may refer to the position where the elevator car door and the elevator landing door of each floor can be exactly aligned. That is, the correct position of the elevator when it stops on the floor.

The device according to the embodiment of the present application will be described in detail below with reference to the accompanying drawings.

Based on the same inventive concept, an elevator fault diagnosis device provided by an embodiment of the present application. Figure 6 shows a schematic structural diagram of an elevator fault diagnosis device provided according to an embodiment of the present application. As shown in FIG. 6, the elevator fault diagnosis device 600 includes a first obtaining module 610 and an abnormality determining module 620:

The first obtaining module 610 is configured to obtain the current number of triggering times of the brake operation of the elevator brake if it is determined that the current brake operation of the elevator brake is triggered;

The abnormality determining module 620 is configured to: if the current number of triggers is greater than the preset trigger number threshold N and the brake energy generated by the current brake operation meets the brake energy generated from the first to the Nth brake operation The abnormal braking condition determined by the brake energy determines the abnormal movement of the elevator with the elevator brake.

In some embodiments of the present application, the elevator fault diagnosis device 600 further includes:

The second acquisition module is used to acquire the voltage signal monitored by the vibration sensor provided on the elevator brake and within the preset time period from the triggering of the current braking operation;

The calculation processing module is used to decompose the voltage signal into voltage sub-signals on multiple sub-bands using wavelet packet decomposition technology, and use the brake energy corresponding to the multiple voltage sub-signals to calculate the brake lock generated by the current braking operation Brake energy.

In some embodiments, the calculation processing module is specifically used for:

Normalize the brake energy corresponding to multiple voltage sub-signals to obtain multiple normalized brake energy; use the sum of multiple normalized brake energy as the current braking operation The generated braking energy.

In some embodiments of the present application, the abnormal braking condition includes: the braking energy generated by the current braking operation deviates from the normal distribution model.

Among them, the normal distribution model is established based on the braking energy generated from the first to the Nth braking operation.

In some other embodiments of the present application, the abnormal braking condition includes: the braking energy generated by the current braking operation exceeds the normal range of braking energy.

In some embodiments, the normal braking energy interval includes a first normal braking energy interval and a second normal braking energy interval.

The first amplification factor and the second amplification factor are both greater than 1, and the first amplification factor is less than the second amplification factor, the first attenuation coefficient and the second attenuation coefficient are both less than 1, and the first attenuation coefficient is greater than the second attenuation coefficient.

In some embodiments of the present application, the elevator fault diagnosis device 600 further includes a first sending module and a second sending module:

The first sending module is used to send a reminder to check if the current number of triggers is greater than N and the brake energy generated by the current braking operation exceeds the first normal braking energy interval and is located in the second normal braking energy interval Early warning command of elevator brake;

The second sending module is configured to send an alarm instruction for immediate maintenance of the elevator brake if the current number of triggers is greater than N and the brake energy generated by the current brake operation exceeds the second normal range of brake energy.

The first determination module is used for determining that the elevator brake triggers the current braking operation if it is detected that the elevator changes from the moving state to the stationary state in the running direction.

The second determination module is used to determine that the elevator moves abnormally if it is detected that the running speed of the elevator exceeds the preset normal speed interval.

Other details of the elevator fault diagnosis device according to the embodiment of the present application are similar to the method according to the embodiment of the present application described above in conjunction with FIGS. 2 to 5, and will not be repeated here.

As shown in FIG. 7, the elevator fault diagnosis device 700 includes an input device 701, an input interface 702, a central processing unit 703, a memory 704, an output interface 705, and an output device 706. Among them, the input interface 702, the central processing unit 703, the memory 704, and the output interface 705 are connected to each other through the bus 710, and the input device 701 and the output device 706 are connected to the bus 710 through the input interface 702 and the output interface 705, respectively, and then connected to the elevator fault diagnosis The other components of the device 700 are connected.

Specifically, the input device 701 receives input information from the outside, and transmits the input information to the central processing unit 703 through the input interface 702; the central processing unit 703 processes the input information based on the computer executable instructions stored in the memory 704 to generate output Information, the output information is temporarily or permanently stored in the memory 704, and then the output information is transmitted to the output device 706 through the output interface 705; the output device 706 outputs the output information to the outside of the elevator fault diagnosis device 700 for use by the user.

That is to say, the elevator fault diagnosis device shown in FIG. 7 can also be implemented as including: a memory storing computer-executable instructions; and a processor, which can be implemented when executing computer-executable instructions in conjunction with FIGS. 1 to 6 describes the method and device of elevator fault diagnosis equipment.

In one embodiment, the elevator fault diagnosis device 700 shown in FIG. 7 may be implemented as a device, and the device may include: a memory for storing a program; a processor for running a program stored in the memory to execute The elevator fault diagnosis method of the embodiment of the present application.

The embodiment of the present application also provides a computer storage medium. The computer storage medium stores computer program instructions. When the computer program instructions are executed by a processor, the elevator fault diagnosis method of the embodiment of the present application is implemented.

It should be clear that the present application is not limited to the specific configuration and processing described above and shown in the figure. For brevity, a detailed description of the known method is omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of the present application is not limited to the specific steps described and shown. After understanding the spirit of the present application, those skilled in the art can make various changes, modifications and additions, or change the order between the steps.

The functional blocks shown in the above-mentioned structural block diagram can be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, it can be, for example, an electronic circuit, an application specific integrated circuit (ASIC), appropriate firmware, a plug-in, a function card, etc. When implemented in software, the elements of this application are programs or code segments used to perform required tasks. The program or code segment may be stored in a machine-readable medium, or transmitted on a transmission medium or communication link through a data signal carried in a carrier wave. "Machine-readable medium" may include any medium that can store or transmit information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, radio frequency (RF) links, and so on. The code segment can be downloaded via a computer network such as the Internet, an intranet, etc.

The above are only specific implementations of the application, and those skilled in the art can clearly understand that for the convenience and conciseness of description, the specific working process of the systems, modules and units described above can refer to the foregoing method embodiments. The corresponding process in, will not be repeated here.

Claims

An elevator fault diagnosis method, the method includes:

If it is determined that the current brake operation of the elevator brake is triggered, obtain the current number of times the brake operation of the elevator brake has been triggered;

If the current number of triggers is greater than the preset trigger number threshold N and the brake energy generated by the current braking operation satisfies the determination based on the brake energy generated from the first to the Nth braking operation The abnormal braking conditions of the elevator, determine the abnormal movement of the elevator with the elevator brake,

Among them, N is a positive integer.
The method according to claim 1, further comprising:

Acquiring a voltage signal monitored by a vibration sensor arranged on the elevator brake and within a preset time period from the triggering of the current braking operation;

Use wavelet packet decomposition technology to decompose the voltage signal into voltage sub-signals on multiple sub-frequency bands, and use the brake energy corresponding to the multiple voltage sub-signals to calculate the brake energy generated by the current braking operation .
The method according to claim 2, wherein the calculation of the brake energy generated by the current braking operation by using the brake energy corresponding to the multiple voltage sub-signals specifically includes:

Normalizing the brake energy corresponding to the multiple voltage sub-signals to obtain multiple normalized brake energy;

The sum of the multiple normalized brake energies is used as the brake energy generated by the current braking operation.
The method according to claim 1, wherein the abnormal braking condition comprises: the braking energy generated by the current braking operation deviates from a normal distribution model,

Wherein, the normal distribution model is established based on the braking energy generated from the first to the Nth braking operations.
The method according to claim 1, wherein the abnormal braking condition comprises: the braking energy generated by the current braking operation exceeds the normal interval of braking energy,

Wherein, the normal zone of the braking energy is determined based on the braking energy generated from the first to the Nth braking operations.
According to the method of claim 5,

The normal braking energy interval includes a first normal braking energy interval and a second normal braking energy interval,

Wherein, the upper boundary of the first braking energy normal interval is the product of the average value of the braking energy generated from the first to the Nth braking operations and the first amplification factor, and the first braking energy The lower boundary of the normal interval is the product of the average value and the first attenuation coefficient,

The upper boundary of the second normal braking energy interval is the product of the average value and the second amplification coefficient, and the lower boundary of the second normal braking energy interval is the product of the average value and the second attenuation coefficient,

The first amplification factor and the second amplification factor are both greater than 1, and the first amplification factor is less than the second amplification factor,

The first attenuation coefficient and the second attenuation coefficient are both less than 1, and the first attenuation coefficient is greater than the second attenuation coefficient.
The method according to claim 6, after the obtaining the current number of triggers of the brake operation of the elevator brake, the method further comprises:

If the current number of triggers is greater than N and the brake energy generated by the current braking operation exceeds the first normal range of braking energy and is located in the second normal range of braking energy, send a reminder Check the pre-warning instruction of the elevator brake;

If the current number of triggers is greater than N and the brake energy generated by the current braking operation exceeds the second normal interval of brake energy, an alarm instruction for instructing to repair the elevator brake immediately is sent.
The method according to claim 1, wherein the determining the current braking operation that triggers the elevator brake includes:

If it is detected that the elevator changes from a moving state to a stationary state in the running direction, it is determined that the elevator brake triggers the current braking operation.
The method according to claim 1,

If it is detected that the running speed of the elevator exceeds the preset normal speed range, it is determined that the elevator is moving abnormally.
An elevator fault diagnosis device, the device includes:

An acquisition processing module, configured to acquire the current number of times the elevator brake operation has been triggered if the current brake operation of the elevator brake is determined to be triggered;

The abnormality determining module is configured to: if the current number of triggers is greater than the preset trigger number threshold N and the brake energy generated by the current braking operation meets the requirements generated from the first to the Nth braking operation The abnormal braking condition determined by the brake energy determines the abnormal movement of the elevator installed with the elevator brake.
An elevator fault diagnosis equipment, the equipment includes:

Memory for storing programs;

The processor is configured to run the program stored in the memory to execute the elevator fault diagnosis method according to any one of claims 1-9.
A computer storage medium having computer program instructions stored on the computer storage medium, and when the computer program instructions are executed by a processor, the elevator fault diagnosis method according to any one of claims 1-9 is realized.