Elevator noise counteracting method

Abstract

The invention discloses an elevator noise counteracting method which comprises the following steps: arranging a plurality of noise acquisition sensors at preset positions of an elevator to acquire noise signals in real time; preprocessing the collected noise signal to obtain a preprocessed noise signal; generating a noise reduction signal corresponding to the noise signal based on the preprocessed noise signal; and outputting the noise reduction signal to counteract the elevator noise. Compared with the prior art, the noise reduction effect is more comprehensive, the dynamic adaptability is higher, and the cost is lower.

Description

Technical Field

[0001] This invention relates to the field of noise control technology, and in particular to a method for canceling elevator noise. Background Technology

[0002] Elevator noise originates from multiple sources, including mechanical vibration noise from the elevator traction machine, friction noise from the steel cable and guide wheel, airflow noise from the interaction between the car and airflow as the car moves through the shaft, and electromagnetic noise from the electrical components in the elevator control system. This noise not only affects the passenger experience inside the elevator car, causing irritability and discomfort, but it also travels through the elevator shaft structure to various rooms within the building, especially noise-sensitive areas such as bedrooms and studies located near the shaft, severely disrupting residents' daily lives, rest, and work.

[0003] Traditional noise reduction methods (such as adding sound-absorbing cotton and optimizing the verticality of the guide rail) have limitations: 1. Limited passive noise reduction effect: Sound-absorbing materials are effective for mid-to-high frequency noise, but insufficient for attenuating low-frequency noise (such as traction machine vibration); 2. High cost of structural optimization: Redesigning the computer room layout or replacing low-noise components requires large-scale renovations, which are time-consuming and expensive. 3. Poor dynamic adaptability: When the elevator's operating conditions (such as load and speed) change, the characteristics of the noise source change dynamically, and traditional methods are difficult to adjust in real time.

[0004] Therefore, there is an urgent need for a method to cancel elevator noise to solve the existing technical problems. Summary of the Invention

[0005] The present invention aims to solve at least one of the technical problems existing in the prior art and proposes an elevator noise cancellation method.

[0006] In a first aspect, embodiments of the present invention provide an elevator noise cancellation method, comprising: Multiple noise sensors are installed at preset locations in the elevator to collect noise signals in real time. The acquired noise signal is preprocessed to obtain a preprocessed noise signal; Based on the preprocessed noise signal, a noise-reduced signal corresponding to the noise signal is generated; The noise reduction signal is output to cancel out elevator noise.

[0007] Furthermore, multiple noise acquisition sensors are set at preset positions in the elevator to collect noise signals in real time. The specific method includes: setting noise acquisition sensors in the elevator shaft, the guide wheel area, the upper, middle and lower positions of the car's running trajectory, and the four corners and center positions inside the elevator car, and collecting elevator noise signals at the corresponding positions in real time through the noise acquisition sensors.

[0008] Furthermore, the acquired noise signal is preprocessed, specifically by: filtering out high-frequency interference components in the noise signal using a low-pass filter, amplifying the filtered noise signal to a preset amplitude range using a signal amplifier, and finally removing electromagnetic interference and environmental background interference from the noise signal using an adaptive interference removal algorithm to obtain the preprocessed noise signal.

[0009] Furthermore, the adaptive interference cancellation algorithm is an interference suppression algorithm based on minimum mean square error. The algorithm generates an interference cancellation signal by calculating the correlation between the noise signal and the known interference signal in real time. The known interference signal includes at least the electromagnetic interference signal of the elevator control system and the background noise signal of the building environment.

[0010] Furthermore, based on the preprocessed noise signal, a noise-reduced signal corresponding to the noise signal is generated. The specific method includes: using an adaptive filtering algorithm, taking the preprocessed noise signal as a reference input, and taking the residual noise signal of the target noise reduction area inside or around the elevator car as an error feedback input, and adjusting the filtering coefficient in real time to generate a noise-reduced signal with the same amplitude and opposite phase as the noise characteristic signal.

[0011] Furthermore, the adaptive filtering algorithm is an improved normalized least mean square algorithm. The algorithm improves the filtering convergence speed by normalizing the update step size of the filtering coefficients, and introduces a forgetting factor to enable the algorithm to quickly adapt to changes in noise characteristics caused by changes in elevator operating status, ensuring the real-time performance and accuracy of the noise reduction signal.

[0012] Furthermore, the noise reduction signal is output to cancel elevator noise. The specific method includes: receiving the noise reduction signal transmitted by the noise reduction signal generation module, and adjusting the output power of the speakers at different positions according to the noise signal intensity distribution collected by each noise acquisition sensor, so as to accurately output the noise reduction signal to the key nodes on the noise propagation path, so that the noise reduction signal and the original elevator noise signal are superimposed and canceled in the target noise reduction area to achieve noise suppression.

[0013] Furthermore, when outputting the noise reduction signal, the output power of the speaker at the corresponding position is adjusted according to the noise signal intensity transmitted in real time by each noise acquisition sensor through a proportional-integral control algorithm. This increases the output power of the speaker in the area with higher noise intensity and decreases the output power of the speaker in the area with lower noise intensity, thereby achieving directional and precise output of the noise reduction signal.

[0014] Furthermore, an elevator noise cancellation method further includes: monitoring and feedback of the noise cancellation effect. The specific method includes: setting noise monitoring sensors in the target noise reduction area inside the elevator car and in sensitive rooms around the elevator shaft; the noise monitoring sensors collect residual noise signals in the target area in real time and use the residual noise signals as error feedback input; adjusting the filtering coefficient of the adaptive filtering algorithm in real time according to the residual noise signals to optimize the noise reduction signal, forming a closed-loop control to ensure the continuous and stable noise cancellation effect.

[0015] Secondly, the present invention also discloses an electronic device, comprising: One or more processors; Memory, used to store one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement any of the noise cancellation methods.

[0016] This invention discloses an elevator noise cancellation method, which involves setting multiple noise acquisition sensors at preset positions in the elevator to collect noise signals in real time; preprocessing the collected noise signals to obtain preprocessed noise signals; generating a noise reduction signal corresponding to the noise signals based on the preprocessed noise signals; and outputting the noise reduction signal to cancel elevator noise.

[0017] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. Comprehensive noise reduction effect: This invention collects air noise and structural vibration noise during elevator operation through a distributed microphone array, identifies the main noise frequency components by combining elevator operation parameters, and generates a precise cancellation signal using an adaptive filtering algorithm. It can effectively cancel low-frequency, mid-frequency and high-frequency noise during elevator operation. In particular, it has a significant cancellation effect on the 30-200Hz low-frequency noise that is difficult to handle by existing passive noise reduction methods, with a noise cancellation amount of 15-25dB. 2. Strong dynamic adaptability: By establishing a correlation model between noise signals and elevator operating status, this invention can dynamically adjust the parameters of the cancellation signal according to changes in parameters such as elevator operating speed and car position. This ensures that real-time noise can be accurately canceled in different operating stages such as elevator acceleration, constant speed, and deceleration, avoiding the attenuation of noise reduction effect due to dynamic changes in noise. 3. Low system cost and easy implementation: This invention does not require the addition of a large amount of sound insulation and vibration reduction materials. It mainly achieves noise cancellation through microphone arrays, speaker arrays and algorithms. The equipment is easy to install and can be applied to the renovation of new elevators and existing elevators, reducing the cost and space occupation of elevator noise control. At the same time, the feedback mechanism optimizes the cancellation signal in real time to ensure long-term stable operation of the system and low maintenance cost. Attached Figure Description

[0018] Figure 1 This is a flowchart illustrating an elevator noise cancellation method provided in an embodiment of the present invention. Figure 2 This is a structural block diagram of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0019] To enable those skilled in the art to better understand the technical solutions of the present invention, exemplary embodiments of the present invention are described below in conjunction with the accompanying drawings, including various details of the embodiments of the present invention to aid understanding. These should be considered merely exemplary. Therefore, those skilled in the art should recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of the present invention. Similarly, for clarity and brevity, descriptions of well-known functions and structures are omitted in the following description.

[0020] Where there is no conflict, the various embodiments of the present invention and the features thereof may be combined with each other.

[0021] As used herein, the term “and / or” includes any and all combinations of one or more related enumerated entries.

[0022] The terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used herein, the singular forms “a” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will also be understood that when the terms “comprising” and / or “made of” are used in this specification, the presence of the stated feature, integral, step, operation, element, and / or component is specified, but the presence or addition of one or more other features, integrals, steps, operations, elements, components, and / or groups thereof is not excluded. Terms such as “connected” or “linked” are not limited to physical or mechanical connections but can include electrical connections, whether direct or indirect.

[0023] Unless otherwise specified, all terms used herein (including technical and scientific terms) have the same meaning as commonly understood by one of ordinary skill in the art. It will also be understood that terms such as those defined in commonly used dictionaries should be interpreted as having the meaning consistent with their meaning in the context of the relevant art and the invention, and will not be interpreted as having an idealized or overly formal meaning unless expressly so defined herein.

[0024] In the technical solution of this invention, the collection, storage, use, processing, transmission, provision, and disclosure of user personal information all comply with relevant laws and regulations and do not violate public order and good morals. The use of user data in this technical solution follows relevant national laws and regulations (e.g., the "Information Security Technology - Personal Information Security Specification"). For example: appropriate measures are taken for personal information access control; restrictions are imposed on the display of personal information; the purpose of using personal information does not exceed the scope of direct or reasonable association; and explicit identity targeting is eliminated when using personal information to avoid precisely locating a specific individual.

[0025] To address at least one of the technical problems existing in the aforementioned related technologies, the present invention provides an elevator noise cancellation method.

[0026] This embodiment discloses an elevator noise cancellation method, such as... Figure 1 ,include: S100. Multiple noise acquisition sensors are set at preset positions in the elevator to collect noise signals in real time. In this embodiment, multiple noise acquisition sensors are set at preset positions in the elevator to collect noise signals in real time. The specific method includes: noise acquisition sensors are set at the elevator shaft, the guide wheel area, the upper, middle and lower positions of the car running trajectory, the four corners and the center position inside the elevator car, and the elevator noise signals at the corresponding positions are collected in real time through the noise acquisition sensors.

[0027] Specifically, a microphone array (each containing 4 omnidirectional microphones) is installed on the top of the elevator car and on both sides of the car door. A microphone array (each containing 2 directional microphones) is installed every 4 meters along the height of the elevator shaft sidewall. A microphone array (each containing 3 vibration microphones) is installed at the input and output ends of the traction machine base. The elevator speed, car position, and direction of travel are obtained through the RS485 interface of the elevator control system at a sampling frequency of 50kHz.

[0028] S200. The acquired noise signal is preprocessed to obtain a preprocessed noise signal. In this embodiment, the preprocessing of the acquired noise signal includes: filtering out high-frequency interference components in the noise signal through a low-pass filter, amplifying the filtered noise signal to a preset amplitude range through a signal amplifier, and finally removing electromagnetic interference and environmental background interference in the noise signal through an adaptive interference removal algorithm to obtain a preprocessed noise signal.

[0029] In some preferred embodiments, the adaptive interference cancellation algorithm is an interference suppression algorithm based on minimum mean square error. The algorithm generates an interference cancellation signal by calculating the correlation between the noise signal and the known interference signal in real time. The known interference signal includes at least the electromagnetic interference signal of the elevator control system and the background noise signal of the building environment.

[0030] Specifically, a Butterworth low-pass filter with a cutoff frequency of 500Hz was used to filter the collected noise signal to remove high-frequency interference from the environment. The time-domain noise signal was converted into a frequency-domain signal using FFT. The analysis revealed that the main noise frequencies during the elevator acceleration phase were 80-120Hz (traction machine mechanical noise), the main noise frequencies during the constant speed phase were 250-350Hz (car airflow noise), and the main noise frequencies during the deceleration phase were 60-100Hz (brake noise). An association model was constructed using the SVM algorithm. The model was trained using 1000 sets of elevator operation data, and the model achieved an accuracy rate of over 95% in identifying the main noise frequency components.

[0031] S300. Based on the preprocessed noise signal, generate a noise-reduced signal corresponding to the noise signal; In this embodiment, the specific method for generating a noise-reduced signal corresponding to the noise signal based on the preprocessed noise signal includes: using an adaptive filtering algorithm, taking the preprocessed noise signal as a reference input, taking the residual noise signal of the target noise reduction area inside or around the elevator car as an error feedback input, and adjusting the filtering coefficient in real time to generate a noise-reduced signal with the same amplitude and opposite phase to the noise characteristic signal.

[0032] In some preferred embodiments, the adaptive filtering algorithm is an improved normalized least mean square algorithm. The algorithm improves the filtering convergence speed by normalizing the update step size of the filtering coefficients, and introduces a forgetting factor to enable the algorithm to quickly adapt to changes in noise characteristics caused by changes in elevator operating status, ensuring the real-time performance and accuracy of the noise reduction signal.

[0033] S400. Output the noise reduction signal to cancel elevator noise. In this embodiment, the method of outputting the noise reduction signal to cancel elevator noise includes: receiving the noise reduction signal transmitted by the noise reduction signal generation module, and adjusting the output power of the speakers at different positions according to the noise signal intensity distribution collected by each noise acquisition sensor, so as to accurately output the noise reduction signal to the key nodes on the noise propagation path, so that the noise reduction signal and the original elevator noise signal can be superimposed and canceled in the target noise reduction area to achieve noise suppression.

[0034] In some preferred embodiments, when outputting the noise reduction signal, the output power of the speaker at the corresponding position is adjusted according to the noise signal intensity transmitted in real time by each noise acquisition sensor through a proportional-integral control algorithm. This increases the output power of the speaker corresponding to the area with higher noise intensity and decreases the output power of the speaker corresponding to the area with lower noise intensity, thereby achieving directional and precise output of the noise reduction signal.

[0035] Specifically, three speaker arrays were alternately installed inside the elevator car and microphone array, and five speaker arrays were installed in the elevator shaft corresponding to the microphone array. The speaker arrays played a cancellation signal, and the microphones collected the residual noise signal. Analysis showed that the original noise amplitude in the elevator car was 65dB, and the residual noise amplitude after cancellation was 42dB, with a noise cancellation amount of 23dB, which meets the noise control requirements in residential scenarios. After continuous monitoring for one month, the noise cancellation amount was consistently maintained above 20dB by dynamically adjusting the filtering parameters, and the system operated stably.

[0036] In some preferred embodiments, an elevator noise cancellation method further includes: monitoring and feedback of the noise cancellation effect. The specific method includes: setting noise monitoring sensors in the target noise reduction area inside the elevator car and in sensitive rooms around the elevator shaft; the noise monitoring sensors collect residual noise signals in the target area in real time and use the residual noise signals as error feedback input; adjusting the filtering coefficient of the adaptive filtering algorithm in real time according to the residual noise signals to optimize the noise reduction signal, forming a closed-loop control to ensure that the noise cancellation effect is continuous and stable.

[0037] Specifically, to monitor the effectiveness of the noise reduction system in real time and adjust system parameters according to actual conditions, this step sets up a noise monitoring module to monitor the residual noise signal in the target area. This noise monitoring module uses a high-precision sound level meter with a measurement range of 20dB-120dB and a measurement accuracy of ±0.5dB, capable of accurately acquiring the intensity and frequency characteristics of the residual noise signal in the target area. When the residual noise signal intensity exceeds a preset threshold (e.g., 35dB inside the elevator car, 30dB in sensitive rooms), the noise reduction signal generation module adjusts the filtering coefficients of the adaptive filtering algorithm based on the characteristics of the residual signal, optimizing the amplitude and phase of the noise reduction signal until the residual noise signal intensity drops below the threshold, thereby achieving continuous and stable noise reduction.

[0038] This embodiment discloses an elevator noise cancellation method. Multiple noise acquisition sensors are installed at preset positions in the elevator to collect noise signals in real time. The collected noise signals are preprocessed to obtain preprocessed noise signals. Based on the preprocessed noise signals, a noise reduction signal corresponding to the noise signals is generated. The noise reduction signal is then output to cancel elevator noise. Compared with existing technologies, this invention offers more comprehensive noise reduction effects, stronger dynamic adaptability, and lower cost.

[0039] Based on the same inventive concept, embodiments of the present invention also provide an electronic device. Figure 2 This is a structural block diagram of an electronic device provided in an embodiment of the present invention. Figure 2 As shown, an embodiment of the present invention provides an electronic device including: one or more processors 101, a memory 102, and one or more I / O interfaces 103. The memory 102 stores one or more programs, which, when executed by the one or more processors, cause the one or more processors to implement any of the noise cancellation methods described in the above embodiments; the one or more I / O interfaces 103 are connected between the processor and the memory, configured to enable information interaction between the processor and the memory.

[0040] The processor 101 is a device with data processing capabilities, including but not limited to a central processing unit (CPU); the memory 102 is a device with data storage capabilities, including but not limited to random access memory (RAM, more specifically SDRAM, DDR, etc.), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), and flash memory (FLASH); the I / O interface (read / write interface) 103 is connected between the processor 101 and the memory 102, and can realize information interaction between the processor 101 and the memory 102, including but not limited to a data bus (Bus).

[0041] In some embodiments, the processor 101, memory 102, and I / O interface 103 are interconnected via bus 104, and thus connected to other components of the computing device.

[0042] In some embodiments, the one or more processors 101 include a field-programmable gate array.

[0043] This invention also provides a computer-readable medium. The computer-readable medium stores a computer program, which, when executed by a processor, implements the steps of any of the noise cancellation methods described in the above embodiments. The computer-readable storage medium may be volatile or non-volatile.

[0044] This invention also provides a computer program product, including computer-readable code, or a non-volatile computer-readable storage medium carrying computer-readable code. When the computer-readable code is run in the processor of an electronic device, the processor in the electronic device executes the above-described noise cancellation method.

[0045] Those skilled in the art will understand that all or some of the steps, systems, and apparatuses disclosed above, and their functional modules / units, can be implemented as software, firmware, hardware, or suitable combinations thereof. In hardware implementations, the division between functional modules / units mentioned above does not necessarily correspond to the division of physical components; for example, a physical component may have multiple functions, or a function or step may be performed collaboratively by several physical components. Some or all physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application-specific integrated circuit (ASIC). Such software can be distributed on a computer-readable storage medium, which may include computer storage media (or non-transitory media) and communication media (or transient media).

[0046] As is known to those skilled in the art, the term computer storage medium includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information, such as computer-readable program instructions, data structures, program modules, or other data. Computer storage media includes, but is not limited to, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), static random access memory (SRAM), flash memory or other memory technologies, portable compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical disc storage, magnetic cartridges, magnetic tape, disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and is accessible to a computer. Furthermore, it is known to those skilled in the art that communication media typically contain computer-readable program instructions, data structures, program modules, or other data in modulated data signals such as carrier waves or other transmission mechanisms, and may include any information delivery medium.

[0047] The computer-readable program instructions described herein can be downloaded from computer-readable storage media to various computing / processing devices, or downloaded via a network, such as the Internet, local area network, wide area network, and / or wireless network, to an external computer or external storage device. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers, and / or edge servers. A network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards them to the computer-readable storage media in the respective computing / processing device.

[0048] The computer program instructions used to perform the operations of this invention may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Smalltalk, C++, etc., and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The computer-readable program instructions may be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or may be connected to an external computer (e.g., via the Internet using an Internet service provider). In some embodiments, electronic circuitry, such as programmable logic circuitry, field-programmable gate arrays (FPGAs), or programmable logic arrays (PLAs), is personalized by utilizing state information from the computer-readable program instructions. This electronic circuitry can execute the computer-readable program instructions to implement various aspects of the invention.

[0049] The computer program product described herein can be implemented specifically through hardware, software, or a combination thereof. In one alternative embodiment, the computer program product is specifically embodied in a computer storage medium; in another alternative embodiment, the computer program product is specifically embodied in a software product, such as a software development kit (SDK), etc.

[0050] Various aspects of the present invention are described herein with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It should be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer-readable program instructions.

[0051] These computer-readable program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus to produce a machine such that, when executed by the processor of the computer or other programmable data processing apparatus, they create means for implementing the functions / actions specified in one or more blocks of the flowchart and / or block diagram. These computer-readable program instructions can also be stored in a computer-readable storage medium that causes a computer, programmable data processing apparatus, and / or other device to operate in a particular manner; thus, the computer-readable medium storing the instructions comprises an article of manufacture that includes instructions for implementing aspects of the functions / actions specified in one or more blocks of the flowchart and / or block diagram.

[0052] Computer-readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device to cause a series of operational steps to be performed on the computer, other programmable data processing apparatus, or other device to produce a computer-implemented process, thereby causing the instructions executed on the computer, other programmable data processing apparatus, or other device to perform the functions / actions specified in one or more boxes of a flowchart and / or block diagram.

[0053] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present invention. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of an instruction, which contains one or more executable instructions for implementing a specified logical function. In some alternative implementations, the functions marked in the blocks may occur in a different order than those shown in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, may be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

[0054] Example embodiments have been disclosed herein, and while specific terminology has been used, it is for illustrative purposes only and should be construed as such, and is not intended to be limiting. In some instances, it will be apparent to those skilled in the art that features, characteristics, and / or elements described in conjunction with particular embodiments may be used alone, or in combination with features, characteristics, and / or elements described in conjunction with other embodiments, unless otherwise expressly indicated. Therefore, those skilled in the art will understand that various changes in form and detail may be made without departing from the scope of the invention as set forth in the appended claims.

Claims

1. A method for canceling elevator noise, characterized in that, include: Multiple noise sensors are installed at preset locations in the elevator to collect noise signals in real time. The acquired noise signal is preprocessed to obtain a preprocessed noise signal; Based on the preprocessed noise signal, a noise-reduced signal corresponding to the noise signal is generated; The noise reduction signal is output to cancel out elevator noise.

2. The method according to claim 1, characterized in that, Multiple noise acquisition sensors are set at preset positions in the elevator to collect noise signals in real time. The specific method includes: noise acquisition sensors are set at three positions in the elevator shaft, the guide wheel area, the upper, middle and lower positions of the car running trajectory, and the four corners and center positions inside the elevator car. The noise acquisition sensors collect elevator noise signals at the corresponding positions in real time.

3. The method according to claim 1, characterized in that, The preprocessing of the acquired noise signal includes the following methods: filtering out high-frequency interference components in the noise signal using a low-pass filter, amplifying the filtered noise signal to a preset amplitude range using a signal amplifier, and finally removing electromagnetic interference and environmental background interference from the noise signal using an adaptive interference removal algorithm to obtain the preprocessed noise signal.

4. The method according to claim 3, characterized in that, The adaptive interference cancellation algorithm is an interference suppression algorithm based on minimum mean square error. The algorithm generates an interference cancellation signal by calculating the correlation between the noise signal and the known interference signal in real time. The known interference signal includes at least the electromagnetic interference signal of the elevator control system and the background noise signal of the building environment.

5. The method according to claim 1, characterized in that, Based on the preprocessed noise signal, a noise-reduced signal corresponding to the noise signal is generated. The specific method includes: using an adaptive filtering algorithm, taking the preprocessed noise signal as a reference input, taking the residual noise signal of the target noise reduction area inside or around the elevator car as an error feedback input, and adjusting the filtering coefficient in real time to generate a noise-reduced signal with the same amplitude and opposite phase as the noise characteristic signal.

6. The method according to claim 5, characterized in that, The adaptive filtering algorithm is an improved normalized least mean square algorithm. The algorithm improves the filtering convergence speed by normalizing the update step size of the filtering coefficients. At the same time, it introduces a forgetting factor so that the algorithm can quickly adapt to the changes in noise characteristics caused by changes in elevator operating status, ensuring the real-time performance and accuracy of the noise reduction signal.

7. The method according to claim 1, characterized in that, The noise reduction signal is output to cancel elevator noise. The specific method includes: receiving the noise reduction signal transmitted by the noise reduction signal generation module, and adjusting the output power of the speakers at different positions according to the noise signal intensity distribution collected by each noise acquisition sensor, so that the noise reduction signal is accurately output to the key nodes on the noise propagation path, so that the noise reduction signal and the original elevator noise signal are superimposed and canceled in the target noise reduction area to achieve noise suppression.

8. The method according to claim 1, characterized in that, When the noise reduction signal is output, the output power of the speaker at the corresponding position is adjusted according to the noise signal intensity transmitted in real time by each noise acquisition sensor through a proportional-integral control algorithm. This increases the output power of the speaker in the area with higher noise intensity and decreases the output power of the speaker in the area with lower noise intensity, thereby achieving directional and precise output of the noise reduction signal.

9. A method for canceling elevator noise, characterized in that, Also includes: The specific method for monitoring and providing feedback on the noise cancellation effect includes: setting up noise monitoring sensors in the target noise reduction area inside the elevator car and in sensitive rooms around the elevator shaft; the noise monitoring sensors collect residual noise signals in the target area in real time and use the residual noise signals as error feedback input; adjusting the filtering coefficient of the adaptive filtering algorithm in real time based on the residual noise signals to optimize the noise reduction signal, forming a closed-loop control to ensure the continuous and stable noise cancellation effect.

10. An electronic device, characterized in that, include: One or more processors; Memory, used to store one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the noise cancellation method as described in any one of claims 1 to 9.

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