Sound-based fault detection method and apparatus, electronic device, and storage medium

Abstract

The application discloses a sound-based fault detection method and device, electronic equipment and storage medium, when the elevator is in an idle state, the car is controlled to go up and down according to a preset sound detection operation instruction, and an audio signal is collected through a talkback module, in the uplink process, the car is controlled to perform a stop floor switch door operation at each floor; the detection spectrum corresponding to each floor is determined according to the audio signal and a pulse signal of a traction machine; the standard spectrum corresponding to each floor when the elevator is normal is acquired, the standard spectrum is the spectrum corresponding to the operation of the elevator under the sound detection operation instruction; and whether there is a fault in the elevator is determined according to the detection spectrum and the standard spectrum. The talkback module in the car is usually an existing device, thereby saving the cost of the product. Through a spectrum diagram, whether noise, distortion or other abnormal changes exist in the signal can be judged, and the detection spectrum and the existing standard spectrum are compared, so that the abnormal state of the elevator can be quickly found, and the elevator can be timely maintained.

Description

Technical Field

[0001] This invention relates to the field of sound-based fault detection technology, and more particularly to a sound-based fault detection method, apparatus, electronic device, and storage medium. Background Technology

[0002] With the maturity of elevator technology, elevators are being used more and more in daily life. However, elevator accidents are occurring frequently, mainly due to malfunctions in the door opening and closing system, loose or broken cables, and other issues. Elevators are generally equipped with intercom modules, primarily used for passenger calls and requests for assistance. It's clear that currently, elevator intercom modules are only activated when passengers need help and cannot monitor the elevator's operating status in real time or perform fault detection.

[0003] As regulatory authorities place increasingly higher demands on the monitoring of elevator operation status, many manufacturers are adding sensors to obtain elevator status in order to detect elevator operation and perform fault detection. However, the cost is high, and the sensor monitoring function is usually relatively simple, resulting in poor fault detection. Summary of the Invention

[0004] This invention provides a sound-based fault detection method to solve the problems of high cost and poor fault detection effect in the existing technology of adding sensors to detect the operating status of elevators and perform fault detection.

[0005] In a first aspect, the present invention provides a sound-based fault detection method applied to elevators, wherein an intercom module is installed in the elevator car, car top, or hoistway, and the sound-based fault detection method includes:

[0006] When the elevator is idle, the car is controlled to move up and down according to the preset sound detection operation command, and the audio signal is collected through the intercom module. During the upward movement, the car is controlled to perform the stop and door opening and closing operation at each floor.

[0007] The detection spectrum corresponding to each floor is determined based on the audio signal and the pulse signal of the traction machine;

[0008] Obtain the standard spectrum corresponding to each floor when the elevator is operating normally. The standard spectrum is the spectrum corresponding to the elevator when it is running under the sound detection operation command.

[0009] The presence of a fault in the elevator is determined based on the detected spectrum and the standard spectrum.

[0010] Secondly, the present invention provides a sound-based fault detection device applied to an elevator, wherein an intercom module is installed in the elevator car, car top, or hoistway, and the sound-based fault detection device includes:

[0011] The signal acquisition module is used to control the car to move up and down according to the preset sound detection operation command when the elevator is in an idle state, and to acquire audio signals through the intercom module. During the upward movement, it controls the car to perform the stop and door opening and closing operation at each floor.

[0012] The detection spectrum determination module is used to determine the detection spectrum corresponding to each floor based on the audio signal and the pulse signal of the traction machine.

[0013] The standard spectrum acquisition module is used to acquire the standard spectrum corresponding to each floor when the elevator is operating normally. The standard spectrum is the spectrum corresponding to the elevator when it is running under the sound detection operation command.

[0014] The fault determination module is used to determine whether a fault exists in the elevator based on the detected spectrum and the standard spectrum.

[0015] Thirdly, the present invention provides an electronic device, the electronic device comprising:

[0016] At least one processor; and

[0017] A memory communicatively connected to the at least one processor; wherein,

[0018] The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the sound-based fault detection method described in the first aspect of the present invention.

[0019] Fourthly, the present invention provides a computer-readable storage medium storing computer instructions that, when executed by a processor, implement the sound-based fault detection method described in the first aspect of the present invention.

[0020] This invention provides a sound-based fault detection method applied to elevators. An intercom module is installed in the elevator car, car top, or hoistway. The sound-based fault detection method includes: when the elevator is idle, controlling the car's up and down movement according to a preset sound detection operation command, and collecting audio signals through the intercom module; during the up movement, controlling the car to perform stop and door opening / closing operations at each floor; determining the detection spectrum corresponding to each floor based on the audio signal and the traction machine's pulse signal; acquiring the standard spectrum corresponding to each floor when the elevator is operating normally, where the standard spectrum is the spectrum corresponding to the elevator running under the sound detection operation command; and determining whether a fault exists in the elevator based on the detection spectrum and the standard spectrum. The intercom module in the car is usually an existing device; collecting audio signals through the intercom module does not increase product cost. On the other hand, converting audio signals into spectrum signals can provide amplitude and phase information of the signal at different frequencies. Spectrum diagrams can help understand the frequency components in a signal. By analyzing the spectrum diagram, it can be determined whether there is noise, distortion, or other abnormal changes in the signal. By comparing the detected spectrum with existing standard spectra, it can be determined whether there is a fault in the elevator, thus enabling accurate and rapid detection of abnormal elevator conditions, such as abnormal door opening and closing or abnormal cable conditions. This allows maintenance personnel to be notified to perform on-site maintenance, reducing the probability of elevator downtime due to malfunctions.

[0021] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0022] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0023] Figure 1 This is a flowchart of a sound-based fault detection method provided in Embodiment 1 of the present invention;

[0024] Figure 2 This is a schematic diagram illustrating the process of an intercom module acquiring audio signals according to Embodiment 1 of the present invention;

[0025] Figure 3 This is a flowchart of a sound-based fault detection method provided in Embodiment 2 of the present invention;

[0026] Figure 4 This is a flowchart of a sound-based fault detection method provided in Embodiment 3 of the present invention;

[0027] Figure 5 This is a schematic diagram of the structure of a sound-based fault detection device provided in Embodiment 4 of the present invention;

[0028] Figure 6 This is a schematic diagram of the structure of the electronic device provided in Embodiment 5 of the present invention. Detailed Implementation

[0029] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0030] Example 1

[0031] Figure 1 This is a flowchart of a sound-based fault detection method provided in Embodiment 1 of the present invention. This embodiment is applicable to situations where elevator faults are detected based on sound collected by the intercom module in the elevator. The method can be executed by a sound-based fault detection device and applied to an elevator. The intercom module is located in the elevator car, car top, or hoistway. This sound-based fault detection device can be implemented in hardware and / or software and can be configured in an electronic device. Figure 1 As shown, the sound-based fault detection method includes:

[0032] S101. When the elevator is in an idle state, the car is controlled to move up and down according to the preset sound detection operation command, and the audio signal is collected through the intercom module. During the upward movement, the car is controlled to perform the stop and open / close operation of the door at each floor.

[0033] Regarding the idle state, the elevator can be set to be idle for a preset time period, for example, between 3 and 4 AM. Alternatively, the elevator can be determined to be idle when no external call command is received for one consecutive hour. It should be noted that the detection process of this invention is carried out slowly over a certain period of time and will not immediately cause an elevator stoppage. It is equivalent to a pre-diagnosis before the elevator starts running. This method is not suitable for detecting malfunctions that occur during elevator operation.

[0034] In an optional embodiment, it is also necessary to detect in real time whether there is an external call command for the elevator. If so, the execution of the sound detection operation command should be stopped. Because collecting sound may involve passenger privacy issues, exiting the sound detection mode immediately upon receiving an external call command can effectively protect passenger privacy.

[0035] The elevator car is controlled to move up and down according to preset sound detection operation commands. Specifically, the car is first controlled to move upward according to the preset sound detection operation commands. During the upward movement, the car stops at each floor's waiting hall and performs door opening and closing operations. During the upward movement, both the audio signals of the door opening and closing and the audio signals of the traveling cables are collected, and the upward movement is at a low speed. During the downward movement, no stopping or door opening / closing operations are performed. During the downward movement, audio signals of the traveling cables are collected, and the downward movement is at a high speed.

[0036] S102. Determine the detection spectrum corresponding to each floor based on the audio signal and the pulse signal of the traction machine.

[0037] The traction machine is the power unit of an elevator, also known as the elevator main unit. Its function is to deliver and transmit power to make the elevator run. The motor used in the traction machine is generally a three-phase asynchronous motor or a permanent magnet synchronous motor. The motor drives the traction machine according to pulse signals. The pulse signals are periodic, and the motor rotor rotates by an angle or moves forward one step. Therefore, by identifying the number and frequency of pulse signals, the position of the motor rotor can be determined, and thus the position of each floor can be determined, which can be used for floor position detection. For example, when the car is moving upwards, 5-10 seconds corresponds to the first floor position, and 10-15 seconds corresponds to the second floor position.

[0038] When the elevator is going up, the time taken to each floor is controlled to be the same; similarly, when the elevator is going down, the time taken to each floor is also controlled to be the same. However, because the elevator stops and doors open / close during the upward movement, the time taken to each floor during the upward movement will be longer than the time taken to each floor during the downward movement. For example, when the elevator is going up, 5-10 seconds corresponds to the 1st floor, and 10-15 seconds corresponds to the 2nd floor. When the elevator is going down, 20-22 seconds corresponds to the 2nd floor, and 22-24 seconds corresponds to the 1st floor.

[0039] Optionally, after detecting the audio signal, the operating time period corresponding to each floor can be determined based on the pulse signal of the traction machine; the audio signal can be segmented based on the operating time period to obtain the sub-audio signal corresponding to each floor; the sub-audio signal corresponding to the floor can be converted into a spectrum signal to obtain the detection spectrum corresponding to each floor, the detection spectrum including frequency and amplitude.

[0040] Audio signals are continuous-time signals, typically digitized using discrete sampling, which includes time and amplitude (intensity). The spectrum of a signal refers to the representation of a time-domain signal in the frequency domain, including both frequency and amplitude. To convert an audio signal into its spectrum, Fourier transform is commonly used for frequency domain analysis. The Fourier transform decomposes a time-domain signal into a series of sine and cosine functions, thus obtaining the signal's spectral information.

[0041] Optionally, the spectral signal can be obtained through Short Time Fourier Transform (STFT), which is defined as:

[0042]

[0043] Where x(n) is the input signal, i.e., the sub-audio signal, w n-m It is a window function, where m represents the m-th time window after windowing (framing), ω represents the angular frequency, and X(m,ω) represents the frequency domain representation of the m-th window. n Indicates the time.

[0044] After Fourier transform, the detection spectrum corresponding to each floor can be obtained. It should be noted that, since the elevator needs to go up and down in this embodiment, each floor can have a detection spectrum for going up and a detection spectrum for going down.

[0045] After obtaining the detection spectrum, the original amplitude A in the detection spectrum was logarithmically calculated (20logA), so the unit of its ordinate is dB (decibels). The purpose of this transformation is to elevate the components with lower amplitudes relative to the components with higher amplitudes, so as to observe the periodic signal masked by low-amplitude noise.

[0046] Furthermore, since the elevator car is in motion, the acoustic Doppler effect occurs. The acoustic Doppler effect refers to the phenomenon that when a sound source and an observer (intercom module) move relative to each other, the observer perceives a change in the frequency of the sound source. In this invention, the sound wave frequency increases when the sound source approaches the intercom module and decreases when the sound source moves away from the intercom module. Moreover, the frequency of the sound received by the intercom module differs depending on whether the elevator is traveling at high or low speeds. Therefore, in an optional embodiment, by combining the detection spectrum of each floor during the upward movement with the detection spectrum of each floor during the downward movement for correction filtering, a more accurate detection spectrum diagram can be obtained, and elevator malfunctions can be better identified.

[0047] S103. Obtain the standard spectrum corresponding to each floor when the elevator is operating normally.

[0048] The standard spectrum is the spectrum corresponding to the elevator when it is running under the sound detection operation command.

[0049] Regarding the standard spectrum, after the elevator has been inspected or maintained by maintenance personnel and the maintenance personnel confirm that the elevator is operating normally, the maintenance personnel can operate the elevator to execute the sound detection operation command. The standard spectrum and the detection spectrum are only obtained under different conditions, but both are obtained according to the same audio processing method. The standard spectrum includes frequency and amplitude.

[0050] S104. Determine whether there is a fault in the elevator based on the detection spectrum and the standard spectrum.

[0051] In this invention, the standard spectrum is a preset, known spectrum, serving as the criterion and basis for judging the detection spectrum. By comparing the known detection spectrum and the standard spectrum, abnormal detection spectra can be identified. Each detection spectrum corresponds to a specific floor, thus identifying the floor with a fault. This can be determined by the similarity between the detection spectrum and the standard spectrum. Specific causes of the fault include mechanical and electrical failures. For example, loose hoistway cables causing collisions during car operation, improper counterweight distribution in the traction machine, or rust on the traveling cable. Faults related to door opening and closing include foreign objects blocking the door closing track, aging components (belts), and changes in the door closing stroke.

[0052] It should be noted that due to the difference in position between the car and the car top, the quality of the collected sound signals may also differ. When comparing the spectrum, the detection spectrum and standard spectrum corresponding to the car can be used, or the detection spectrum and standard spectrum corresponding to the car top can be used, or the signal with better sound quality, such as a larger amplitude, can be used.

[0053] Specifically, when the detected spectrum is the uplink spectrum, the standard spectrum also corresponds to the uplink spectrum. For example, if the detected spectrum is the real-time detected spectrum corresponding to the third layer during uplink, then the standard spectrum is the standard spectrum corresponding to the third layer.

[0054] To clearly explain the process of the intercom module acquiring audio signals, we will now combine... Figure 2 To explain, Figure 2 A schematic diagram illustrating the process of acquiring audio signals for the intercom module, as shown below. Figure 2 As shown, the process of acquiring audio signals is as follows:

[0055] S201. Determine if the elevator is idle;

[0056] S202. When the elevator is idle, send an activation command to the intercom module;

[0057] S203, The intercom module turns on the microphone and provides feedback;

[0058] S204. Control the elevator to move from the ground floor to the top floor;

[0059] S205. Control the elevator to run from the top floor to the bottom floor;

[0060] S206. Send an end command to the intercom module;

[0061] S207, Turn off the microphone on the intercom module.

[0062] In addition, intercom modules can also be installed in the elevator pit and machine room. The intercom module in the pit can be used to assist in fault detection. The specific process is similar to S101-S104. The intercom module in the machine room can perform fault detection on the operation of components in the control cabinet in the machine room, such as relays, brakes, etc. tripping, and abnormal motor rotation. It can also be detected through the corresponding detection spectrum and standard spectrum.

[0063] This invention provides a sound-based fault detection method applied to elevators. An intercom module is installed in the elevator car, car top, or hoistway. The sound-based fault detection method includes: when the elevator is idle, controlling the car's up and down movement according to a preset sound detection operation command, and collecting audio signals through the intercom module; during the up movement, controlling the car to perform stop and door opening / closing operations at each floor; determining the detection spectrum corresponding to each floor based on the audio signal and the traction machine's pulse signal; acquiring the standard spectrum corresponding to each floor when the elevator is operating normally, where the standard spectrum is the spectrum corresponding to the elevator running under the sound detection operation command; and determining whether a fault exists in the elevator based on the detection spectrum and the standard spectrum. The intercom module in the car is usually an existing device; collecting audio signals through the intercom module does not increase product cost. On the other hand, converting audio signals into spectrum signals can provide amplitude and phase information of the signal at different frequencies. Spectrum diagrams can help understand the frequency components in a signal. By analyzing the spectrum diagram, it can be determined whether there is noise, distortion, or other abnormal changes in the signal. By comparing the detected spectrum with existing standard spectra, it can be determined whether there is a fault in the elevator, thus enabling accurate and rapid detection of abnormal elevator conditions, such as abnormal door opening and closing or abnormal cable conditions. This allows maintenance personnel to be notified to perform on-site maintenance, reducing the probability of elevator downtime due to malfunctions.

[0064] Example 2

[0065] Figure 3 This is a flowchart of a sound-based fault detection method provided in Embodiment 2 of the present invention. This embodiment optimizes Embodiment 1 as described above. Figure 3 As shown, the sound-based fault detection method includes:

[0066] S301. When the elevator is idle, the car is controlled to move up and down according to the preset sound detection operation command, and the audio signal is collected through the intercom module. During the upward movement, the car is controlled to stop at the waiting hall on each floor and perform door opening and closing operations.

[0067] S302. Determine the detection spectrum corresponding to each floor based on the audio signal and the pulse signal of the traction machine.

[0068] S303. Obtain the standard spectrum corresponding to each floor when the elevator is operating normally.

[0069] The standard spectrum is the spectrum corresponding to the elevator when it is running under the sound detection operation command.

[0070] S301-S303 are similar to S101-S103 in Embodiment 1. For details, please refer to the relevant content of S101-S103, which will not be described here.

[0071] S304. For the detection spectrum of each floor, determine the corresponding standard spectrum.

[0072] S305. Calculate the amplitude difference between the detected spectrum and the standard spectrum at each frequency.

[0073] S306. Determine whether there is an amplitude difference greater than the preset amplitude threshold.

[0074] If not, then execute S307; if yes, then execute S308. The preset amplitude threshold can be 3dB.

[0075] S307. Confirm that there are no faults in the elevator.

[0076] S308. Determine the current floor as the target floor.

[0077] When the amplitude difference between the detected spectrum and the standard spectrum at various frequencies exceeds a preset amplitude threshold, it can be determined that there is an abnormal sound situation in the current floor corresponding to the detected spectrum currently involved in the judgment.

[0078] S309. Determine whether the number of times the target floor appears is greater than the preset threshold.

[0079] If yes, then execute S310. If no, then it is determined that there is no malfunction in the elevator, and the abnormal mechanical sound can be considered as an occasional occurrence.

[0080] The preset threshold for the number of times can be 3.

[0081] S310. It is determined that there is a malfunction in the elevator and the target floor is the malfunctioning floor.

[0082] If the number of times a target floor is detected exceeds a preset threshold, the abnormal sound at that target floor is considered not accidental but rather a genuine malfunction. Therefore, a fault in the elevator can be identified, and the target floor currently being assessed is the faulty floor. For example, if the amplitude difference of a certain frequency is greater than 3dB and occurs three times on the same floor, then that floor can be considered abnormal and a faulty floor.

[0083] This embodiment determines the presence of a fault by combining the amplitude difference and the frequency of occurrence between the detected spectrum and the standard spectrum, which can improve the accuracy and reliability of fault diagnosis.

[0084] Example 3

[0085] Figure 4 This is a flowchart of a sound-based fault detection method provided in Embodiment 2 of the present invention. This embodiment optimizes Embodiment 1 as described above. Figure 4 As shown, the sound-based fault detection method includes:

[0086] S401. When the elevator is idle, the car is controlled to move up and down according to the preset sound detection operation command, and the audio signal is collected through the intercom module. During the upward movement, the car is controlled to stop at the waiting hall on each floor and perform door opening and closing operations.

[0087] S402. Determine the detection spectrum corresponding to each floor based on the audio signal and the pulse signal of the traction machine.

[0088] S403. Obtain the standard spectrum corresponding to each floor when the elevator is operating normally.

[0089] The standard spectrum is the spectrum corresponding to the elevator when it is running under the sound detection operation command.

[0090] S404. Determine whether there is a fault in the elevator based on the detection spectrum and the standard spectrum.

[0091] S401-S404 are similar to S101-S104 in Embodiment 1. For details, please refer to the relevant content of S101-S104, which will not be described here.

[0092] S405. When a fault exists, determine the first frequency range of the detection spectrum and the second frequency range of the standard spectrum respectively.

[0093] S406. Determine whether the second frequency range is a proper subset of the first frequency range.

[0094] If so, then execute S407.

[0095] S407. Take the difference between the first frequency range and the second frequency range as the difference frequency range.

[0096] Generally, when an elevator makes abnormal noises due to certain malfunctions, the frequency range of the detected spectrum will exceed the frequency range of the standard spectrum. Therefore, this step compares the frequency ranges of the detected spectrum and the standard spectrum to determine the likelihood of a malfunction. When the second frequency range is a proper subset of the first frequency range, it indicates that the frequency range of the detected spectrum covers and exceeds the frequency range of the standard spectrum, meaning there is an extra frequency range. This is usually caused by malfunctions or damage, resulting in abnormal noises from the elevator.

[0097] S408. The spectrum of the difference frequency range is the spectrum to be analyzed.

[0098] S409. Confirm the cause of the fault based on the spectrum to be analyzed and the preset fault spectrum library.

[0099] Specifically, the cause of the fault is determined based on the spectrum to be analyzed and a preset fault spectrum library. This includes: checking if a backup spectrum matching the spectrum to be analyzed exists in the preset fault spectrum library; if so, sending the fault tag associated with the backup spectrum to the maintenance personnel's terminal; if not, saving the spectrum to be analyzed as a backup spectrum in the fault spectrum library and setting a pending processing tag. Staff can study the backup spectrum with the pending processing tag to determine the cause of the fault and use the cause as the updated tag for that backup spectrum. The fault spectrum library can then match the causes of faults in abnormal spectrum segments for fault determination. Furthermore, the fault spectrum library can be continuously updated with fault spectra and fault causes.

[0100] In an optional embodiment, after determining whether a fault exists in the elevator based on the detected spectrum and the standard spectrum, the method further includes: when a fault exists in the elevator, determining a first time when the fault is determined by the audio signal of the car and a second time when the fault is determined by the audio signal of the car; determining the location of the fault sound source by the location of the intercom module in the car and on the car top, the first time, the second time, and the speed of sound transmission; and sending the location of the fault sound source to the terminal where the maintenance personnel are located for maintenance of the location of the fault sound source.

[0101] For a fixed-location fault sound source, the transmission time to intercom modules at different locations generally varies. Therefore, the first transmission time is usually different from the second. By collecting the time of the sound emitted by the fault sound source and the sound transmission speed through the intercom modules in the car and on the car top, the distance difference between the fault sound source and the two intercom modules can be determined. Combined with the elevator's structure, the location of the fault source can be determined. The location of the fault sound source can then be transmitted wirelessly to the maintenance personnel's terminal.

[0102] In this embodiment, a first frequency range of the detection spectrum and a second frequency range of the standard spectrum are determined respectively; it is determined whether the second frequency range is a proper subset of the first frequency range; if so, the difference between the first and second frequency ranges is taken as the difference frequency range; the spectrum of the difference frequency range is determined as the spectrum to be analyzed, and the cause of the fault is confirmed based on the spectrum to be analyzed and a preset fault spectrum library. The location of the fault sound source is also determined, which facilitates maintenance personnel to perform precise repairs based on the cause of the fault and the location of the fault sound source, improving maintenance efficiency and saving time for manual fault detection.

[0103] Example 4

[0104] Figure 5 This is a schematic diagram of a sound-based fault detection device according to Embodiment 4 of the present invention. This sound-based fault detection device is applied to an elevator, with the intercom module installed in the elevator car, car top, or hoistway, such as... Figure 5 As shown, the sound-based fault detection device includes:

[0105] The signal acquisition module 501 is used to control the car to move up and down according to the preset sound detection operation command when the elevator is in an idle state, and to acquire audio signals through the intercom module. During the upward movement, it controls the car to perform the stop and open / close operation of the door at each floor.

[0106] The detection spectrum determination module 502 is used to determine the detection spectrum corresponding to each floor based on the audio signal and the pulse signal of the traction machine.

[0107] The standard spectrum acquisition module 503 is used to acquire the standard spectrum corresponding to each floor when the elevator is operating normally. The standard spectrum is the spectrum corresponding to the elevator when it is running under the sound detection operation command.

[0108] The fault determination module 504 is used to determine whether there is a fault in the elevator based on the detection spectrum and the standard spectrum.

[0109] In an optional embodiment, the detection spectrum determination module 502 includes:

[0110] The operating time period determination submodule is used to determine the operating time period corresponding to each floor based on the pulse signal of the traction machine;

[0111] The sub-audio signal determination submodule is used to segment the audio signal based on the running time period to obtain the sub-audio signal corresponding to each floor;

[0112] The detection spectrum determination module determines the sub-module, which is used to convert the sub-audio signal corresponding to the floor into a spectrum signal to obtain the detection spectrum corresponding to each floor.

[0113] In an optional embodiment, the fault determination module 504 includes:

[0114] The standard spectrum determination submodule is used to determine the corresponding standard spectrum for the detected spectrum of each floor;

[0115] The amplitude difference determination submodule is used to calculate the amplitude difference between the detected spectrum and the standard spectrum at various frequencies.

[0116] The amplitude difference judgment submodule is used to determine whether there is an amplitude difference greater than a preset amplitude threshold; if not, the contents of the fault-free determination submodule are executed; if so, the contents of the target floor determination submodule are executed.

[0117] The fault-free determination submodule is used to determine that there are no faults in the elevator;

[0118] The target floor determination submodule is used to determine the current floor as the target floor;

[0119] The occurrence count judgment submodule is used to determine whether the occurrence count of the target floor is greater than a preset count threshold; if so, the contents of the fault floor determination submodule are executed.

[0120] The fault floor determination submodule is used to determine that there is a fault in the elevator and that the target floor is the fault floor.

[0121] In an optional embodiment, the sound-based fault detection device further includes:

[0122] A frequency range determination module is used to determine a first frequency range of the detected spectrum and a second frequency range of the standard spectrum when a fault exists.

[0123] The proper subset determination module is used to determine whether the second frequency range is a proper subset of the first frequency range; if so, the contents of the difference frequency range determination module are executed.

[0124] The difference frequency range determination module is used to take the difference between the first frequency range and the second frequency range as the difference frequency range;

[0125] The spectrum to be analyzed determination module is used to determine the spectrum of the difference frequency range as the spectrum to be analyzed;

[0126] The fault cause determination module is used to determine the fault cause based on the spectrum to be analyzed and a preset fault spectrum library.

[0127] In an optional embodiment, the fault cause determination module includes:

[0128] The backup spectrum judgment submodule is used to determine whether there is a backup spectrum in the preset fault spectrum library that matches the spectrum to be analyzed; if so, the contents of the sending submodule are executed; otherwise, the contents of the backup saving submodule are executed.

[0129] The sending submodule is used to send the fault tags associated with the backup spectrum to the terminal where the maintenance personnel are located;

[0130] The backup and save submodule is used to save the spectrum to be analyzed as a backup spectrum to the fault spectrum library and set a pending processing tag.

[0131] In an optional embodiment, the sound-based fault detection device further includes:

[0132] A time determination module is used to determine a first time when a fault is detected by the audio signal from the car and a second time when a fault is detected by the audio signal from the car when a fault exists in the elevator.

[0133] The fault sound source location determination module is used to determine the location of the fault sound source by the position of the intercom module in the car and on the car top, the first time, the second time, and the speed of sound transmission.

[0134] The fault sound source location sending module is used to send the fault sound source location to the terminal where the maintenance personnel are located, so as to maintain the fault sound source location.

[0135] In an optional embodiment, the sound-based fault detection device further includes:

[0136] The external call instruction judgment module is used to determine whether there is an external call instruction for the elevator; if so, the contents of the instruction stop module are executed.

[0137] The instruction stop module is used to stop the execution of the sound detection operation instruction.

[0138] The sound-based fault detection device provided in this embodiment of the invention can execute the sound-based fault detection method provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the method execution.

[0139] Example 5

[0140] Figure 6A schematic diagram of an electronic device 40 that can be used to implement embodiments of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0141] like Figure 6 As shown, the electronic device 40 includes at least one processor 41 and a memory, such as a read-only memory (ROM) 42 or a random access memory (RAM) 43, communicatively connected to the at least one processor 41. The memory stores computer programs executable by the at least one processor. The processor 41 can perform various appropriate actions and processes based on the computer program stored in the ROM 42 or loaded into the RAM 43 from storage unit 48. The RAM 43 may also store various programs and data required for the operation of the electronic device 40. The processor 41, ROM 42, and RAM 43 are interconnected via a bus 44. An input / output (I / O) interface 45 is also connected to the bus 44.

[0142] Multiple components in electronic device 40 are connected to I / O interface 45, including: input unit 46, such as keyboard, mouse, etc.; output unit 47, such as various types of monitors, speakers, etc.; storage unit 48, such as disk, optical disk, etc.; and communication unit 49, such as network card, modem, wireless transceiver, etc. Communication unit 49 allows electronic device 40 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0143] Processor 41 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 41 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 41 performs the various methods and processes described above, such as sound-based fault detection methods.

[0144] In some embodiments, the sound-based fault detection method may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 48. In some embodiments, part or all of the computer program may be loaded and / or installed on electronic device 40 via ROM 42 and / or communication unit 49. When the computer program is loaded into RAM 43 and executed by processor 41, one or more steps of the sound-based fault detection method described above may be performed. Alternatively, in other embodiments, processor 41 may be configured to perform the sound-based fault detection method by any other suitable means (e.g., by means of firmware).

[0145] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0146] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0147] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0148] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0149] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0150] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0151] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0152] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A sound-based fault detection method, characterized in that, Applied to elevators, the intercom module is installed in the elevator car, car top, or hoistway. The sound-based fault detection method includes: When the elevator is idle, the car is controlled to move up and down according to the preset sound detection operation command, and the audio signal is collected through the intercom module. During the upward movement, the elevator travels at low speed and controls the car to perform floor stop and door opening and closing operations at each floor to collect the audio signals of door opening and closing, traveling cable audio signals, and traveling wire audio signals. During the downward movement, the elevator travels at high speed and does not perform floor stop and door opening and closing operations to collect the audio signals of traveling cable and traveling wire audio signals. The detection spectrum corresponding to each floor is determined based on the audio signal and the pulse signal of the traction machine; Obtain the standard spectrum corresponding to each floor when the elevator is operating normally. The standard spectrum is the spectrum corresponding to the elevator when it is running under the sound detection operation command. Determine whether a fault exists in the elevator based on the detected spectrum and the standard spectrum; The step of determining the detection spectrum corresponding to each floor based on the audio signal and the pulse signal of the traction machine includes: The operating time period for each floor is determined based on the pulse signal of the traction machine; The audio signal is segmented based on the operating time period to obtain sub-audio signals corresponding to each floor; The sub-audio signals corresponding to each floor are converted into spectral signals to obtain the detection spectrum corresponding to each floor.

2. The sound-based fault detection method as described in claim 1, characterized in that, The step of determining whether a fault exists in the elevator based on the detected spectrum and the standard spectrum includes: For the detection spectrum of each floor, determine the corresponding standard spectrum; Calculate the amplitude difference between the detected spectrum and the standard spectrum at each frequency; Determine whether the amplitude difference is greater than a preset amplitude threshold; If not, confirm that there is no malfunction in the elevator; If so, determine the current floor as the target floor; Determine whether the number of times the target floor appears is greater than a preset threshold. If so, it is determined that there is a malfunction in the elevator and that the target floor is the malfunctioning floor.

3. The sound-based fault detection method as described in claim 1, characterized in that, After determining whether a fault exists in the elevator based on the detected spectrum and the standard spectrum, the method further includes: When a fault exists, the first frequency range of the detection spectrum and the second frequency range of the standard spectrum are determined respectively. Determine whether the second frequency range is a proper subset of the first frequency range; If so, the difference between the first frequency range and the second frequency range shall be taken as the difference frequency range; The spectrum within the aforementioned frequency difference range is determined as the spectrum to be analyzed; The cause of the fault is determined based on the spectrum to be analyzed and the preset fault spectrum library.

4. The sound-based fault detection method as described in claim 3, characterized in that, The step of confirming the cause of the fault based on the spectrum to be analyzed and a preset fault spectrum library includes: Determine whether a backup spectrum matching the spectrum to be analyzed exists in the preset fault spectrum library; If so, send the fault tag associated with the backup spectrum to the terminal where the maintenance personnel are located; If not, the spectrum to be analyzed is saved as a backup spectrum in the fault spectrum library, and a pending processing tag is set.

5. The sound-based fault detection method as described in any one of claims 1-4, characterized in that, The elevator car and car top are both equipped with the intercom module. After determining whether there is a fault in the elevator based on the detection spectrum and the standard spectrum, the following steps are also included: When a malfunction occurs in the elevator, a first time when the malfunction is determined by the audio signal from the car and a second time when the malfunction is determined by the audio signal from the car. The location of the fault sound source is determined by the position of the intercom module in the car and on the car roof, the first time, the second time, and the speed of sound transmission. The location of the fault sound source is sent to the terminal where the maintenance personnel are located so that the location of the fault sound source can be maintained.

6. The sound-based fault detection method according to any one of claims 1-4, characterized in that, Also includes: Determine if the elevator has an external call request; If so, stop executing the sound detection operation command.

7. A sound-based fault detection device, characterized in that, Applied to elevators, the intercom module is installed in the elevator car, car top, or hoistway. The sound-based fault detection device includes: The signal acquisition module is used to control the car to move up and down according to the preset sound detection operation command when the elevator is in an idle state, and to collect audio signals through the intercom module. During the upward movement, the elevator travels at low speed and controls the car to perform floor stop and door opening and closing operations at each floor to collect the audio signals of door opening and closing, traveling cable audio signals, and traveling wire audio signals. During the downward movement, the elevator travels at high speed and does not perform floor stop and door opening and closing operations to collect the audio signals of traveling cable and traveling wire audio signals. The detection spectrum determination module is used to determine the detection spectrum corresponding to each floor based on the audio signal and the pulse signal of the traction machine. The standard spectrum acquisition module is used to acquire the standard spectrum corresponding to each floor when the elevator is operating normally. The standard spectrum is the spectrum corresponding to the elevator when it is running under the sound detection operation command. The fault determination module is used to determine whether a fault exists in the elevator based on the detected spectrum and the standard spectrum. The detection spectrum determination module includes: The operating time period determination submodule is used to determine the operating time period corresponding to each floor based on the pulse signal of the traction machine; The sub-audio signal determination submodule is used to segment the audio signal based on the running time period to obtain the sub-audio signal corresponding to each floor; The detection spectrum determination module determines the sub-module, which is used to convert the sub-audio signal corresponding to the floor into a spectrum signal to obtain the detection spectrum corresponding to each floor.

8. An electronic device, characterized in that, The electronic device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the sound-based fault detection method according to any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that, when executed by a processor, implement the sound-based fault detection method according to any one of claims 1-6.

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