Noise reduction method and system for elevator machine room

Abstract

The invention discloses a noise reduction method and system for an elevator machine room, and the method comprises the following steps: S1, collecting a first noise signal waveform of a noise source in each operation stage of an elevator car, extracting a first medium-high frequency component according to the first noise signal waveform, and setting a noise reduction coefficient of each operation stage of the elevator car; s2, acquiring distances between a plurality of loudspeakers and the noise source, wherein the plurality of loudspeakers are arranged around the noise source; s3, according to the noise signal waveform, the noise reduction coefficient and the distance, the sound output waveform of the loudspeaker in each operation stage of the elevator car is calculated; and S4, transmitting the sound output waveform to each loudspeaker so as to enable the output sound output waveform to carry out noise reduction on the noise source. The sound waveform is output through the combination of the distance between the loudspeaker and the noise source, the noise reduction coefficients of the noise source in different stages and the first noise signal waveform, and an excellent noise reduction effect is obtained.

Description

TECHNICAL FIELD

[0001] The present application relates to a noise reduction method and system for an elevator machine room. BACKGROUND

[0002] According to the A1.3.14 noise test requirements in TSG T7001-2023 "Elevator Supervision and Periodic Inspection Rules" and TSG T7008-2023 "Elevator Self-Inspection Rules", during elevator supervision and inspection, the elevator runs at the rated speed, and the average A-weighted sound level at a distance of 1.5m from the ground and 1m from the drive main machine should not be greater than 80dB, while for elevators with a speed of 2.5m / s to 6m / s, the average noise should not exceed 85dB.

[0003] During the operation of the elevator, common noise sources include mechanical noise generated by the friction and vibration of mechanical parts such as elevator noise sources, gears, guide rails, etc. during operation, electrical noise emitted by frequency converters and contactors during operation, etc. The noise generated in the machine room can also be transmitted to the elevator car and the top floor residents.

[0004] With the rapid development of the economy, cities are filled with high-rise buildings, and complaints about elevator noise are increasing. The existing elevator noise reduction technology mainly uses passive noise reduction by thickening the walls of the machine room and shaft or adding sound insulation cotton.

[0005] Current noise treatment for elevator machine rooms mainly uses two methods. One is passive noise reduction by thickening the walls of the machine room and shaft or adding sound insulation cotton, sound insulation felt, and sound absorption panels.

[0006] The second method is to install shock-absorbing devices on key components such as the elevator main machine, guide rails, and control cabinets to reduce vibration and noise, thereby achieving the effect of controlling noise.

[0007] Among them, the passive noise isolation measures such as installing sound insulation cotton have low efficiency for low-frequency sound absorption and little effect on noise reduction. Moreover, the installation environment is also subject to the actual environment of the machine room. Sound insulation cotton can only isolate and reduce noise outside the machine room, and the noise inside the machine room cannot be solved, which will result in that even if an old elevator uses a sound insulation cotton solution, the machine room noise still cannot meet the A1.3.14 noise test requirements in TSG T7008-2023 "Elevator Self-Inspection Rules".

[0008] And install damping device, its damping effect to the vibration noise inhibition is effective, but its most is to use rubber pad and other materials, is influenced by the operating environment is bigger, the frequent start and stop of elevator, the temperature of machine room is bigger with the change of four seasons, often the service life is not long, if the washer appears damage and comes out, it may bring greater security risk to the elevator operation. SUMMARY

[0009] The application provides a noise reduction method and system for an elevator machine room, which collects noise signals in the machine room in real time, analyzes and processes the noise by using digital signal processing technology, generates corresponding reverse sound wave signals in combination with the position relationship between the elevator running stage and the speaker and the noise source, and outputs the signals through the speaker, so as to solve the above problems.

[0010] The application provides the following technical scheme: A noise reduction method for an elevator machine room, comprising the following steps: S1, collecting a first noise signal waveform of a noise source at each running stage of an elevator car, extracting a first middle-high frequency component from the first noise signal waveform, and setting a noise reduction coefficient of each running stage of the elevator car; S2, obtaining the distance between a plurality of speakers and the noise source, and arranging the plurality of speakers around the noise source; S3, calculating the sound output waveform of the speakers at each running stage of the elevator car according to the middle-high frequency component, the noise reduction coefficient, and the distance; S4, transmitting the sound output waveform to each speaker, so that the output sound output waveform reduces the noise of the noise source.

[0011] Further, the first middle-high frequency component is extracted by the following steps: (1) taking the first noise signal waveform as an input signal, calculating the average value of the upper envelope line and the lower envelope line of the input signal to obtain a mean envelope signal; (2) subtracting the mean envelope signal from the input signal to obtain an intermediate signal; (3) judging whether the average value of the upper envelope line and the lower envelope line of the intermediate signal is 0, if yes, taking the intermediate signal as the first signal component; if not, taking the intermediate signal as the input signal, and repeatedly executing steps (1) and (2) until the average value of the upper envelope line and the lower envelope line of the intermediate signal is 0, at which time the intermediate signal is the first signal component; (4) subtracting the first signal component from the first noise signal waveform to obtain a residual signal, if the residual signal is a monotonic function or cannot be decomposed, the first signal component is the first mid-high frequency component; if the residual signal is not a monotonic function or can be decomposed, the residual signal is taken as an input signal, and steps (1) to (3) are repeatedly performed until the residual signal obtained is a monotonic function or cannot be decomposed, thereby obtaining a plurality of second signal components; (5) if the total number of the first signal components and the second signal components obtained is less than m, the first signal components and the second signal components are superimposed to obtain the first mid-high frequency component; if the total number of the first signal components and the second signal components obtained is greater than or equal to m, the last n second signal components obtained are removed, and the first signal components and the remaining second signal components are superimposed to obtain the first mid-high frequency component.

[0012] Further, the operation stages of the elevator car include: (1) an elevator car preparation operation stage, i.e. during the contactor of the control cabinet is attracted and the brake of the traction machine is opened; (2) an elevator car acceleration operation stage, i.e. the elevator car starts and accelerates to uniform motion; (3) an elevator car uniform motion operation stage, i.e. the elevator car maintains uniform motion; (4) an elevator car deceleration operation stage, i.e. the elevator car decelerates from uniform motion to static state; (5) an elevator car stop operation stage, i.e. during the contactor of the control cabinet is released and the brake of the traction machine is released.

[0013] Further, according to the noise signal waveform, the noise reduction coefficient and the distance, the sound output waveform of the loudspeaker in each operation stage of the elevator car is calculated, including: calculating the ratio of the distance to a reference distance, the reference distance being the distance between a reference loudspeaker and a noise source, the reference loudspeaker being one of the loudspeakers; multiplying the noise signal waveform, the noise reduction coefficient and the ratio to obtain the sound output waveform of the loudspeaker in each operation stage of the elevator car.

[0014] Further, it further includes: collecting a second noise signal waveform in each operation stage of the elevator car after the sound output waveform output by each loudspeaker; comparing the first noise signal waveform and the second noise signal waveform, adjusting the noise reduction coefficient so that the amplitude of the second noise signal waveform is less than the amplitude threshold.

[0015] A noise reduction system for an elevator machine room, at least including: The acquisition module is configured to acquire a first noise signal waveform of a noise source in each operation stage of an elevator car, extract a first mid-high frequency component from the first noise signal waveform, and set a noise reduction coefficient for each operation stage of the elevator car; The acquisition module is configured to acquire a first noise signal waveform of a noise source in each operation stage of an elevator car, extract a first mid-high frequency component from the first noise signal waveform, and set a noise reduction coefficient for each operation stage of the elevator car; The calculation module is configured to calculate a sound output waveform of a loudspeaker in each operation stage of the elevator car according to the first mid-high frequency component, the noise reduction coefficient, and the distance. The output module is configured to transmit the sound output waveform to each loudspeaker, so that the output sound output waveform reduces noise of the noise source.

[0016] An electronic device includes: One or more processors; Memory for storing 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 method described above.

[0017] A computer-readable storage medium has computer instructions stored thereon, which, when executed by a processor, implement the steps of the method described above.

[0018] The beneficial effects of the present application are as follows: (1) The modern communication technology and digital signal processing technology are integrated, so that the system can respond and adapt to different noise environments in real time, and can also adapt to different elevator operation environments and conditions, including different loads, speeds, and operation modes; (2) It does not act on any elevator components, eliminating the risk of elevator operation failure due to power failure / damage of the system; (3) It has strong expandability, and the positions and number of loudspeakers can be set according to needs to adapt to larger and more complex noise environments, and better noise reduction effect is obtained by reducing noise in all directions of the noise source; (4) The combination of the distance between the loudspeaker and the noise source, the noise reduction coefficient of the noise source in different stages, and the first noise signal waveform outputs the waveform of the sound, and excellent noise reduction effect is obtained; (5) By extracting the mid-high frequency component in the machine room noise signal, the complexity of the data is reduced. BRIEF DESCRIPTION OF DRAWINGS

[0019] Figure 1 The flowchart of the elevator machine room noise reduction method of the present application; Figure 2 The schematic diagram of the noise sensor, noise source, and loudspeaker of Embodiment 1 of the present application; Figure 3 Fig. 1 is a schematic diagram of a noise sensor, a noise source and a loudspeaker of an embodiment of the present application; Figure 4 Fig. 2 is a schematic diagram of a module of an apparatus of an embodiment of the present application; Fig. 3 is a schematic diagram of a module of an apparatus of an embodiment of the present application, wherein the noise source O, the noise sensor O', the reference loudspeaker 0 and the other loudspeakers 1 are shown. DETAILED DESCRIPTION

[0020] In order to further clarify the technical means adopted by the present application and the effects thereof, the specific embodiments, structures, features and effects thereof according to the present application are described in detail below with reference to the accompanying drawings and preferred embodiments.

[0021] The present application provides a noise reduction system for an elevator machine room, which is not completely dependent on the elevator, has low implementation difficulty and low cost; and the combination of the distance between the loudspeaker and the noise source, the noise reduction coefficient of the noise source at different stages and the waveform of the first noise signal output sound waveform obtains excellent noise reduction effect.

[0022] The embodiments of the present application are further described below in multiple embodiments.

[0023] Embodiment 1 As shown in Fig. 1, Figure 1 and Figure 2 A noise reduction method for an elevator machine room, comprising a noise sensor O' for collecting noise signals, a noise processing unit for processing the noise signals, and four loudspeakers uniformly distributed in the elevator machine room and surrounding the noise source O; the noise sensor O' is installed at a position 1.5 meters away from the ground and 1 meter away from the center of the noise source O; In this embodiment, the noise source O is a traction motor, and the control cabinet contactor attraction and the traction machine brake are installed near the traction motor, which can be approximately considered as being located at the position of the noise source O.

[0024] The method comprises the following steps: S1, collecting the first noise signal waveform of the noise source at each running stage of the elevator car, extracting the first middle-high frequency component according to the first noise signal waveform, and setting the noise reduction coefficient of each running stage of the elevator car at each stage; The first noise signal waveform W of the noise source O at the five stages is collected, and the noise reduction coefficient K of each running stage of the elevator car at each stage is set; The first middle-high frequency component is extracted by the following steps: (1) Taking the first noise signal waveform as an input signal, calculating the average value of the upper envelope line and the lower envelope line of the input signal to obtain a mean envelope signal; (2) Subtracting the mean envelope signal from the input signal to obtain an intermediate signal; (3) Determine whether the average value of the upper and lower envelopes of the intermediate signal is 0. If it is, use the intermediate signal as the first signal component; if not, use the intermediate signal as the input signal and repeat steps (1) and (2) until the average value of the upper and lower envelopes of the intermediate signal is 0. At this time, the intermediate signal is the first signal component. (4) Subtract the first signal component from the first noise signal waveform to obtain the residual signal. If the residual signal is a monotonic function or cannot be further decomposed, the first signal component is the first mid-to-high frequency component. If the residual signal is not a monotonic function or can be further decomposed, use the residual signal as the input signal and repeatedly execute steps (1) to (3) until the obtained residual signal is a monotonic function or cannot be further decomposed, thereby obtaining several second signal components. (5) If the total number of the first signal component and the second signal component is less than m, the first signal component and the second signal component are superimposed to obtain the first medium-high frequency component; if the total number of the first signal component and the second signal component is greater than or equal to m, the last n second signal components are removed, and the first signal component and the remaining second signal components are superimposed to obtain the first medium-high frequency component.

[0025] (1) Take the first noise signal waveform W as the input signal r k Calculate the input signal r k The mean envelope signal m is obtained by averaging the upper and lower envelopes. j,k ; m j,k =(e max,j,k -e min,j,k ) / 2; In the formula, e max,j,k For the input signal r k The upper envelope, e min,j,k For the input signal r k The lower envelope.

[0026] (2) Subtract the mean envelope signal from the input signal to obtain the intermediate signal h. j,k ; h j,k =r k -m j,k ; (3) Determine the intermediate signal h j,k If the average value of the upper and lower envelopes is 0, then the intermediate signal is used as the first signal component; otherwise, the intermediate signal h is used as the first signal component. j,k As the input signal, and repeatedly execute steps (1) and (2) until the average value of the upper and lower envelopes of the intermediate signal is 0, the intermediate signal at this time is the first signal component c1; (4) subtract the first signal component c1 from the first noise signal waveform W to obtain a residual signal r k If the residual signal is a monotonic function or cannot be decomposed, the first signal component c1 is the first mid-high frequency component W'; if the residual signal is not a monotonic function or can be decomposed, the residual signal r k is taken as an input signal, and steps (1) to (3) are repeatedly performed until the obtained residual signal r k is a monotonic function or cannot be decomposed, thereby obtaining a plurality of second signal components c2=[c 2,1 , c 2,2 , …, c 2,k ]; (5) If the total number of the obtained first signal component and the second signal component is less than 5, the first signal component and the second signal component are superimposed to obtain the first mid-high frequency component W'=c1+c 2,1 +c 2,2 +…+c 2,k ; if the total number of the obtained first signal component and the second signal component is greater than or equal to 5, the last obtained three second signal components c 2,k , c 2,k-1 , c 2,k-2 are removed, the first signal component c1 and the remaining second signal components c2=[c 2,1 , c 2,2 , …, c 2,k-3 ] are superimposed to obtain the first mid-high frequency component W'=c1+c 2,1 +c 2,2 +…+c 2,k-3 .

[0027] In this embodiment, m is 5 and n is 3, which can also be other numerical values.

[0028] The five stages are as follows: (1) The elevator car preparation running stage, that is, the control cabinet contactor attraction and the hoisting machine brake opening period, the noise reduction coefficient of this stage is K1; (2) The elevator car acceleration running stage, that is, the elevator car starts and accelerates to uniform motion, the noise reduction coefficient of this stage is K2; (3) The elevator car uniform running stage, that is, the elevator car maintains uniform motion, the noise reduction coefficient of this stage is K3; (4) The elevator car deceleration running stage, that is, the elevator car decelerates from uniform motion to static, the noise reduction coefficient of this stage is K4; (5) The elevator car stop running stage, that is, the control cabinet contactor release and the hoisting machine brake release period, the noise reduction coefficient of this stage is K5; The noise reduction coefficient K=[K1, K2, K3, K4, K5], the initial values of K1, K2, K3, K4 and K5 are all -1.

[0029] S2: Obtain the distances between a plurality of loudspeakers and the noise source, the plurality of loudspeakers being arranged around the noise source. Obtain the distance L between the four loudspeakers and the noise source O, and the four loudspeakers are arranged around the noise source O. S3, according to the first mid-high frequency component, the noise reduction coefficient and the distance, calculate the sound output waveform of the loudspeaker in each running stage of the elevator car. According to the first mid-high frequency component W', the noise reduction coefficient K and the distance L, calculate the sound output waveform W'' of the loudspeaker in each running stage of the elevator car. Select one loudspeaker as a reference loudspeaker 0, The distance between the reference loudspeaker 0 and the noise source O is L0, which is called the reference distance, and the distances between the other loudspeakers 1 and the noise source O are L1, L2 and L3 respectively, L=[L 0, L 1, L2, L3]; The steps of calculating W'' are as follows: Calculate the output sound waveform of the loudspeaker in five stages as W''=W'xKxOR. Wherein, the ratio of the distance between each loudspeaker and the noise source O to the reference distance is OR=[1, OR1, OR2, OR3]. S4, transmit the sound output waveform to each loudspeaker, so that the output sound output waveform reduces the noise of the noise source. Transmit the sound output waveform W'' to each loudspeaker, so that the output sound output waveform reduces the noise of the noise source O.

[0030] After each loudspeaker outputs the sound output waveform W'', collect the second noise signal waveform W2 in each running stage of the elevator car, and extract the second mid-high frequency component W2' according to the second noise signal waveform; the extraction method of the second mid-high frequency component is the same as that of the first mid-high frequency component. Compare the first mid-high frequency component W' and the second mid-high frequency component W2', adjust the noise reduction coefficient K, so that the amplitude of the second mid-high frequency component W2' is less than the amplitude threshold.

[0031] Specifically, the noise sensor O' collects the noise signal waveforms W2' of the 5 stages after the speaker outputs sound, and extracts the second mid-high frequency component W2' according to the second noise signal waveform; by comparing the difference between W' and W2', the values of K1, K2, K3, K4 and K5 are adjusted to -1.2, so that the amplitude of the second mid-high frequency component W2' is less than the amplitude threshold, and the noise of each stage is not greater than 60dB. In this embodiment, the noise sensor O' is a microphone.

[0032] The present application has intelligent control and can automatically adjust the noise reduction strategy according to long-term noise conditions. The present application does not act on any elevator component, thereby eliminating the risk of elevator operation failure due to power failure / damage of the system. The present application has strong expandability, and the design of the system allows more sensors or speaker devices to be added when needed to adapt to larger and more complex noise environments.

[0033] Embodiment 2 As Figure 1 and Figure 3 A noise reduction method for an elevator machine room, comprising a noise sensor O' for collecting noise signals, a noise processing unit for processing noise signals, and 6 speakers uniformly distributed in the elevator machine room and surrounding the noise source O; the noise sensor O' is installed at a position 1.5 meters away from the ground and 1 meter away from the center of the noise source O; In this embodiment, the noise source O is a traction motor, and the control cabinet contactor attraction and the traction machine brake are installed near the traction motor, which can be approximately considered as being located at the position of the noise source O.

[0034] The method comprises the following steps: S1, collecting the first noise signal waveform of the noise source at each running stage of the elevator car, extracting the first mid-high frequency component according to the first noise signal waveform, and setting the noise reduction coefficient of each running stage of the elevator car; Collect the first noise signal waveform W of the noise source O at 5 stages, and set the noise reduction coefficient K of each running stage of the elevator car; The first mid-high frequency component is extracted by the following steps: (1) Taking the first noise signal waveform as an input signal, calculating the average value of the upper envelope line and the lower envelope line of the input signal to obtain the mean envelope signal; (2) Subtract the mean envelope signal from the input signal to obtain the intermediate signal; (3) judging whether the average value of the upper envelope line and the lower envelope line of the intermediate signal is 0, if yes, taking the intermediate signal as the first signal component; if not, taking the intermediate signal as the input signal, and repeatedly performing according to step (1) and step (2) until the average value of the upper envelope line and the lower envelope line of the intermediate signal is 0, and the intermediate signal at this time is the first signal component; (4) subtracting the first signal component from the first noise signal waveform to obtain a residual signal, if the residual signal is a monotonic function or cannot be decomposed, the first signal component is the first mid-high frequency component; if the residual signal is not a monotonic function or can be decomposed, taking the residual signal as the input signal, and repeatedly performing according to step (1) to step (3) until the obtained residual signal is a monotonic function or cannot be decomposed, thereby obtaining a plurality of second signal components; (5) if the total number of the first signal component and the second signal component obtained is less than m, superimposing the first signal component and the second signal component to obtain the first mid-high frequency component; if the total number of the first signal component and the second signal component obtained is greater than or equal to m, removing the last n second signal components obtained, superimposing the first signal component and the remaining second signal components to obtain the first mid-high frequency component.

[0035] (1) taking the first noise signal waveform W as the input signal r k , calculating the average value of the upper envelope line and the lower envelope line of the input signal r k to obtain the mean envelope signal m j,k ; m j,k =(e max,j,k -e min,j,k ) / 2; In the formula, e max,j,k is the upper envelope line of the input signal r k , and e min,j,k is the lower envelope line of the input signal r k .

[0036] (2) subtracting the mean envelope signal from the input signal to obtain the intermediate signal h j,k ; h j,k =r k -m j,k ; (3) judging whether the average value of the upper envelope line and the lower envelope line of the intermediate signal h j,k is 0, if yes, taking the intermediate signal as the first signal component; if not, taking the intermediate signal h j,k as the input signal, and repeatedly performing according to step (1) and step (2) until the average value of the upper envelope line and the lower envelope line of the intermediate signal is 0, and the intermediate signal at this time is the first signal component c1; (4) subtract the first signal component c1 from the first noise signal waveform W to obtain a residual signal r k If the residual signal is a monotonic function or cannot be decomposed, the first signal component c1 is the first mid-high frequency component W'; if the residual signal is not a monotonic function or can be decomposed, the residual signal r k is taken as an input signal, and steps (1) to (3) are repeatedly performed until the obtained residual signal r k is a monotonic function or cannot be decomposed, thereby obtaining a plurality of second signal components c2=[c 2,1 , c 2,2 , … c 2,k ]; (5) If the total number of the obtained first signal component and the second signal component is less than 5, the first signal component and the second signal component are superimposed to obtain the first mid-high frequency component W'=c1+c 2,1 +c 2,2 +…+c 2,k ; if the total number of the obtained first signal component and the second signal component is greater than or equal to 5, the last obtained three second signal components c 2,k , c 2,k-1 , c 2,k-2 are removed, the first signal component c1 and the remaining second signal components c2=[c 2,1 , c 2,2 , … c 2,k-3 ] are superimposed to obtain the first mid-high frequency component W'=c1+c 2,1 +c 2,2 +…+c 2,k-3 .

[0037] In this embodiment, m is 5 and n is 3, which can also be other numerical values.

[0038] The five stages are as follows: (1) The elevator car preparation running stage, that is, the control cabinet contactor attraction and the hoisting machine brake opening period, the noise reduction coefficient of this stage is K1; (2) The elevator car acceleration running stage, that is, the elevator car starts and accelerates to uniform motion, the noise reduction coefficient of this stage is K2; (3) The elevator car uniform running stage, that is, the elevator car maintains uniform motion, the noise reduction coefficient of this stage is K3; (4) The elevator car deceleration running stage, that is, the elevator car decelerates from uniform motion to static, the noise reduction coefficient of this stage is K4; (5) The elevator car stop running stage, that is, the control cabinet contactor release and the hoisting machine brake release period, the noise reduction coefficient of this stage is K5; The noise reduction coefficient K=[K1, K2, K3, K4, K5], the initial values of K1, K2, K3, K4 and K5 are all -1.

[0039] S2: Obtain the distances between a plurality of loudspeakers and the noise source, the plurality of loudspeakers being arranged around the noise source. Obtain the distances L between 6 loudspeakers and the noise source O, the 6 loudspeakers being arranged around the noise source O. S3, calculate the sound output waveform of the loudspeakers in each running stage of the elevator car according to the first mid-high frequency component, the noise reduction coefficient and the distance. Calculate the sound output waveform W'' of the loudspeakers in each running stage of the elevator car according to the first mid-high frequency component W', the noise reduction coefficient K and the distance L. Select one loudspeaker as a reference loudspeaker 0, The distance between the reference loudspeaker 0 and the noise source O is L0, which is called the reference distance, and the distances between the other loudspeakers 1 and the noise source O are L1, L2, …, L5 respectively, L=[L 0, L1……L5]; The steps of calculating W'' are as follows: Calculate the sound output waveform of the loudspeakers in 5 stages as W''=W'×K×OR. Wherein, the ratio of the distance between each loudspeaker and the noise source O to the reference distance is OR=[1, OR1, OR2……OR5]; S4, transmit the sound output waveform to each loudspeaker so that the output sound output waveform reduces the noise of the noise source.

[0040] Transmit the sound output waveform W'' to each loudspeaker so that the output sound output waveform reduces the noise of the noise source O.

[0041] After each loudspeaker outputs the sound output waveform W'', collect the second noise signal waveform W2 in each running stage of the elevator car, and extract the second mid-high frequency component W2' according to the second noise signal waveform; the extraction method of the second mid-high frequency component is the same as that of the first mid-high frequency component. Compare the first mid-high frequency component W' and the second mid-high frequency component W2', adjust the noise reduction coefficient K, so that the amplitude of the second mid-high frequency component W2' is less than the amplitude threshold.

[0042] Specifically, the noise sensor O' collects the noise signal waveforms W2 of the 5 stages after the speaker outputs sound, and extracts the second mid-high frequency component W2' according to the second noise signal waveform; by comparing the difference between W' and W2', the values of K1, K2, K3, K4 and K5 are adjusted to -1.5, so that the amplitude of the second mid-high frequency component W2' is less than the amplitude threshold, and the noise of each stage is not greater than 80dB. In this embodiment, the noise sensor O' is a microphone.

[0043] In this embodiment, the noise sensor O' is a precision sound level meter NL-53 of RION, Japan.

[0044] Embodiment 3 As Figure 4 A noise reduction system for an elevator machine room, characterized in that it at least comprises: a collection module for collecting a first noise signal waveform of a noise source at each running stage of an elevator car, extracting a first mid-high frequency component according to the first noise signal waveform, and setting a noise reduction coefficient for each running stage of the elevator car; an acquisition module for acquiring the distance between a plurality of speakers and the noise source, the plurality of speakers being arranged around the noise source; a calculation module for calculating a sound output waveform of the speaker at each running stage of the elevator car according to the first mid-high frequency component, the noise reduction coefficient and the distance; an output module for transmitting the sound output waveform to each speaker to reduce the noise of the noise source by the sound output waveform.

[0045] An electronic device, comprising: one or more processors; a memory for storing 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 method as described above.

[0046] In the embodiments of the present application, it should be understood that the disclosed method and system can also be implemented by other means. The above-described method and system embodiments are only illustrative. For example, the flowcharts and block diagrams in the drawings show possible implementation architectures, functions and operations of the method and system, method and computer program product according to the embodiments of the present application. In this regard, each block in the flowcharts or block diagrams can represent a module, a program segment or a part of code, which includes one or more executable instructions for implementing the specified logical functions. It should also be noted that in some alternative implementations, the functions noted in the blocks can occur in different orders from those described in the drawings. For example, two consecutive blocks can actually be executed substantially in parallel, and sometimes they can 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 the combination of blocks in the block diagrams and / or flowcharts, can be implemented by a dedicated hardware-based system that performs the specified functions or actions, or can be implemented by a combination of dedicated hardware and computer instructions.

[0047] In addition, the functional modules in the various embodiments of the present application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

[0048] On the other hand, a computer readable storage medium has computer instructions stored thereon, which, when executed by a processor, implement the steps of the above method. The computer program, when executed by the processor, implements the method of any one of the above first aspect. The functions, if implemented in the form of software functional modules and sold or used as independent products, can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application essentially or the parts that make contributions to the prior art or parts of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a number of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in the various embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory 101 (ROM, Read-Only Memory), a random access memory 101 (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes.

[0049] The above merely describes the preferred embodiments of the present application, and is not intended to limit the present application in any form. Although the present application has been disclosed with the preferred embodiments as above, it is not intended to limit the present application. Any person skilled in the art can make some changes or modifications to the above disclosed technical content to obtain equivalent embodiments with equivalent changes, as long as the changes or modifications do not deviate from the technical solution of the present application. Any modification, change, equivalent change and modification of the above embodiments made according to the technical essence of the present application still belong to the scope of the technical solution of the present application.

Claims

1. A method of noise reduction of an elevator machine room, characterized in that, The method comprises the following steps: S1, collecting a first noise signal waveform of a noise source in each running stage of an elevator car, extracting a first mid-high frequency component from the first noise signal waveform, and setting a noise reduction coefficient of each running stage of the elevator car; S2, obtaining distances between a plurality of loudspeakers and the noise source, the loudspeakers being arranged around the noise source; S3, calculating a sound output waveform of the loudspeakers in each running stage of the elevator car according to the first mid-high frequency component, the noise reduction coefficient, and the distances; S4, transmitting the sound output waveform to each loudspeaker so that the output sound output waveform reduces noise of the noise source.

2. The method of claim 1, wherein, The first mid-high frequency component is extracted by the following steps: (1) taking the first noise signal waveform as an input signal, calculating an average value of upper and lower envelope lines of the input signal to obtain a mean envelope signal; (2) subtracting the mean envelope signal from the input signal to obtain an intermediate signal; (3) judging whether the average value of the upper and lower envelope lines of the intermediate signal is 0, if yes, taking the intermediate signal as a first signal component; if not, taking the intermediate signal as the input signal, and repeatedly performing steps (1) and (2) until the average value of the upper and lower envelope lines of the intermediate signal is 0, at this time, the intermediate signal is the first signal component; (4) subtracting the first signal component from the first noise signal waveform to obtain a residual signal, if the residual signal is a monotonic function or cannot be decomposed, the first signal component is the first mid-high frequency component; if the residual signal is not a monotonic function or can be decomposed, taking the residual signal as the input signal, and repeatedly performing steps (1) to (3) until the obtained residual signal is a monotonic function or cannot be decomposed, thereby obtaining a plurality of second signal components; (5) if the total number of the first signal component and the second signal component obtained is less than m, superimposing the first signal component and the second signal component to obtain the first mid-high frequency component; if the total number of the first signal component and the second signal component obtained is greater than or equal to m, removing the last n second signal components obtained, superimposing the first signal component and the remaining second signal components to obtain the first mid-high frequency component.

3. The method of claim 1, wherein, The running stages of the elevator car include: (1) a preparation running stage of the elevator car, i.e. a period during which a contactor of a control cabinet is attracted and a brake of a traction machine is opened; (2) an acceleration running stage of the elevator car, i.e. a period during which the elevator car starts and accelerates to uniform motion; (3) a uniform motion running stage of the elevator car, i.e. a period during which the elevator car maintains uniform motion; (4) a deceleration running stage of the elevator car, i.e. a period during which the elevator car decelerates from uniform motion to a stop; (5) a stop running stage of the elevator car, i.e. a period during which the contactor of the control cabinet is released and the brake of the traction machine is released.

4. The method of claim 1, wherein, The calculation of the sound output waveform of the loudspeakers in each running stage of the elevator car according to the first mid-high frequency component, the noise reduction coefficient, and the distances comprises: calculating a ratio of the distances to a reference distance, the reference distance being a distance between a reference loudspeaker and the noise source, the reference loudspeaker being one of the loudspeakers; The noise signal waveform, the noise reduction coefficient and the ratio are multiplied to obtain a sound output waveform of the speaker in each running stage of the elevator car.

5. The method of claim 1, wherein, Further comprising: After the sound output waveform output by each speaker, a second noise signal waveform of each running stage of the elevator car is collected, and a second mid-high frequency component is extracted according to the second noise signal waveform; The first mid-high frequency component and the second mid-high frequency component are compared, and the noise reduction coefficient is adjusted so that the amplitude of the second mid-high frequency component is less than the amplitude threshold.

6. A noise reduction system for an elevator machine room, characterized by, At least comprising: A collection module is configured to collect a first noise signal waveform of a noise source in each running stage of an elevator car, extract a first mid-high frequency component according to the first noise signal waveform, and set a noise reduction coefficient of each stage of the elevator car in each running stage; An acquisition module is configured to acquire distances of a plurality of speakers from the noise source, and the plurality of speakers are arranged around the noise source; A calculation module is configured to calculate a sound output waveform of the speaker in each running stage of the elevator car according to the first mid-high frequency component, the noise reduction coefficient and the distance; An output module is configured to transmit the sound output waveform to each speaker so that the output sound output waveform reduces noise of the noise source.

7. An electronic device, comprising: Comprise: One or more processors; Memory for storing 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 method of any one of claims 1-5.

8. A computer readable storage medium having stored thereon computer instructions, wherein, The instructions are executed by the processor to implement the steps of the method of any one of claims 1-5.

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