CN111524499B

CN111524499B - Air conditioner and active noise reduction debugging method based on APP

Info

Publication number: CN111524499B
Application number: CN202010334981.9A
Authority: CN
Inventors: 徐鹏洋; 李怀成; 殷豪杰; 华如文
Original assignee: Qingdao Hisense Hitachi Air Conditioning System Co Ltd
Current assignee: Qingdao Hisense Hitachi Air Conditioning System Co Ltd
Priority date: 2020-04-24
Filing date: 2020-04-24
Publication date: 2023-04-28
Anticipated expiration: 2040-04-24
Also published as: CN111524499A

Abstract

The invention discloses an air conditioner and an APP-based active noise reduction debugging method, the air conditioner comprises: including air pipe and the initiative noise reduction device of setting on air pipe, initiative noise reduction device includes: a noise reduction controller; the reference microphone is connected with the noise reduction controller and used for collecting noise signals in the ventilating duct and sending the noise signals to the noise reduction controller; the loudspeaker is connected with the noise reduction controller, is arranged on one side of the reference microphone far away from the noise source, and is driven by the noise reduction controller to emit a noise reduction signal in opposite phase with the noise signal; an error microphone mounted on a side of the speaker remote from the noise source; the active noise reduction device is controlled by an APP connected with the noise reduction controller and used for debugging the noise reduction controller. The invention is convenient to debug the active noise reduction function of the air conditioner, effectively improves the noise reduction effect, and can be debugged by a user through the APP by the user, thereby reducing the labor capacity of after-sales personnel of the product.

Description

Air conditioner and active noise reduction debugging method based on APP

Technical Field

The invention relates to the technical field of air conditioners, in particular to an air conditioner and an active noise reduction debugging method based on APP.

Background

Along with the improvement of social progress and the improvement of living standard of people, noise from air inlets and outlets of air conditioners such as a central air conditioner and an air pipe machine becomes one of main noise sources in indoor environments, and daily life of people is affected.

The common methods for reducing noise are passive noise reduction and active noise reduction. The passive noise reduction mainly utilizes the isolation and sound absorption properties of the material to reduce the noise, is effective for medium-high frequency noise, but has insignificant effect of reducing low frequency noise. Active noise reduction (i.e., active noise control (Active Noise Control, ANC)) is a noise active control technique based on the principle of coherent superposition of acoustic waves, which introduces a secondary sound source in the sound field and utilizes the generation of secondary noise in opposite phase to the original noise to cancel out the original noise coherently, thereby achieving the purpose of noise suppression, and for low frequency noise, active noise reduction is easier to control and more effective in reducing low frequency noise.

The application of the existing active noise control technology on the earphone is greatly developed, and the active noise control technology is mainly a feedback type analog circuit, which has the defects of simple function, poor expansibility and the like although being simple, low in cost and low in power consumption, and cannot be applied to space type active noise reduction products, such as air conditioners of central air conditioners, air conditioners and the like.

In addition, since air conditioners such as ducted air conditioners have long ventilation ducts, operational noise (e.g., fan noise generated by a fan and wind noise generated when air flows) is mainly transmitted along the ventilation ducts, and the low frequency portion of the noise transmitted along the ventilation ducts is more energy-intensive, which provides a possibility to implement active noise reduction control in the ventilation ducts.

When air conditioning products such as an air conditioner with an active noise reduction function are used, the transfer function of a controller in the active noise reduction control system is generally debugged and determined before the air conditioner leaves a factory, so that the setting of the active noise reduction control system is completed.

Even if the controller is debugged in advance before leaving the factory, it is difficult to ensure that the debugged active noise reduction control system can realize the expected noise reduction effect in the complex environment of the engineering field installation; and after the air conditioner is used for a long time, devices in the active noise reduction control system, such as a loudspeaker, a reference microphone and the like, can generate aging phenomena due to the self tympanic membrane structure after being used for a long time, and the transfer function of the controller is changed. Therefore, the later debugging and maintenance of the active noise reduction control system in the air conditioner is a great project, and is time-consuming and labor-intensive.

Disclosure of Invention

The embodiment of the invention provides an air conditioner and an APP-based active noise reduction debugging method, which are convenient for debugging the active noise reduction function of the air conditioner, effectively improve the noise reduction effect, and enable a user to debug by self through the APP so as to reduce the labor capacity of after-sales personnel of products.

In order to achieve the aim of the invention, the invention is realized by adopting the following technical scheme:

the application relates to an air conditioner, including the air pipe, its characterized in that still includes the initiative noise reduction device that sets up on the air pipe, initiative noise reduction device includes:

a noise reduction controller;

the reference microphone is connected with the noise reduction controller and used for collecting noise signals in the ventilating duct and sending the noise signals to the noise reduction controller;

a speaker connected to the noise reduction controller and installed at a side of the reference microphone far from a noise source, and the noise reduction controller drives the speaker to emit a noise reduction signal in a phase opposite to the noise signal;

an error microphone connected to the noise reduction controller and installed at a side of the speaker remote from the noise source;

the active noise reduction device is controlled by an APP connected with the noise reduction controller and used for debugging the noise reduction controller.

In some embodiments of the present application, the noise reduction controller includes: the A/D conversion module receives the noise signals acquired by the reference microphone, converts the noise signals and outputs the converted noise signals; a filtering algorithm module which receives the signal output by the reference microphone and outputs a filtered signal; and the D/A conversion module receives the filtered signal output by the filtering module and outputs the filtered signal to the loudspeaker so as to drive the loudspeaker to send out a noise reduction signal in a phase opposite to the noise signal.

In some embodiments of the present application, the filtering algorithm module includes: an inverting filter for inverting the original noise signal collected by the reference microphone; an acoustic feedback channel model that receives a first value output by the inverting filter and outputs a second value that is negative; the sum of the noise signal acquired by the reference microphone and the second value is used as an estimated value of the original noise signal and is input to the input end of the inverting filter; wherein the acoustic feedback path model is a transfer function of an acoustic feedback path between the speaker and the reference microphone.

In some embodiments of the present application, the inverse filter is a FIR filter.

The application relates to an APP-based active noise reduction debugging method, which is used for noise reduction debugging of an active noise reduction device in a ventilating duct of an air conditioner,

the active noise reduction debugging method is characterized by comprising the following steps of:

opening an APP on a terminal, and enabling the air conditioner to stand by;

connecting the APP with the noise reduction controller;

clicking an identification key on the APP, identifying an output channel model of an output channel, and storing model data of the output channel model after identification;

opening the air conditioner and closing the loudspeaker;

clicking a recording key on the APP, respectively picking up original noise signals by the reference microphone and the error microphone, and storing data x and d recorded by the reference microphone and the error microphone after recording is finished;

clicking a calculation key on the APP, and calculating control model data of the noise reduction controller according to x, d and the stored model data;

clicking a writing key on the APP, and writing the control model data into the noise reduction controller;

the output channel model includes a secondary channel model that is a transfer function of a secondary channel between the speaker and the error microphone and an acoustic feedback channel model that is a transfer function of an acoustic feedback channel between the speaker and the reference microphone.

In some embodiments of the present application, after clicking an identification key on an APP, sequentially selecting output channels, identifying output channel models of the corresponding output channels, and judging whether the output channel models are successfully identified; if the identification is successful, storing the model data of the output channel model; and if the identification fails, the output channel model is identified again.

In some embodiments of the present application, the output channel model identification successfully indicates that the output channel model converges.

In some embodiments of the present application, a key is identified on a click APP, an output channel model of the output channel is identified,

the method comprises the following steps: controlling the loudspeaker to emit white noise; picking up the white noise by the reference microphone and the error microphone, respectively; and identifying an output channel model of the output channel by using a preset model, the white noise and the white noise picked up by the reference microphone and the error microphone.

In some embodiments of the present application, the predetermined model is an FIR filter.

In some embodiments of the present application, after determining the model of the noise reduction controller, clicking an active noise reduction key on an APP to perform an active noise reduction function on the air conditioner; and after clicking the active noise reduction key on the APP again, closing the active noise reduction function.

In some embodiments of the present application, the APP may be loaded on a mobile phone, PAD, or computer.

Compared with the prior art, the invention has the advantages and positive effects that: the APP user can be utilized to make noise reduction and debugging on the air conditioner at any time, so that the noise reduction effect is effectively improved, and the task amount of after-sales personnel is reduced; and APP is utilized to operate simply and conveniently, the application range is wide, the APP can be used as an additional selling point of a product, and the selling point of the whole product is promoted.

Other features and advantages of the present invention will become apparent upon review of the detailed description of the invention in conjunction with the drawings.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

FIG. 1 is a schematic block diagram of an active noise reduction control system with an active noise reduction device installed in a ventilation duct of an air conditioner according to the present invention;

FIG. 2 is a flow chart of an APP-based active noise reduction debugging method;

FIG. 3 is a schematic diagram of an APP work interface.

Detailed Description

The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments.

All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention. In the description of the present invention, it should be understood that the terms "center," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like indicate orientations or positional relationships based on the orientation or positional relationships shown in the drawings, merely to facilitate describing the present invention and simplify the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention.

In the description of the present invention, it should be noted that the terms "mounted," "connected," and "coupled" are to be construed broadly, as well as, for example, fixedly coupled, detachably coupled, or integrally coupled, unless otherwise specifically indicated and defined. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art. In the description of the above embodiments, particular features, structures, materials, or characteristics may be combined in any suitable manner in any one or more embodiments or examples.

The terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present invention, unless otherwise indicated, the meaning of "a plurality" is two or more.

The prior air conditioner is provided with a fan and a ventilation pipeline, the ventilation pipeline is provided with an active noise reduction device, the ventilation pipeline is provided with an air outlet and an air return opening, and the active noise reduction device can be respectively arranged between the fan and the air outlet and/or between the fan and the air return opening.

Compared with the prior art, the active noise reduction device is arranged on one side, the active noise reduction devices are arranged on two sides of the fan, so that the noise reduction to the pneumatic noise before the fan and the noise transmitted by the fan towards the air return opening direction can be realized, the noise reduction to the pneumatic noise after the fan and the noise transmitted by the fan towards the air outlet direction can be realized, and the noise reduction effect is better.

It should be noted that, along the air flow direction in the ventilation duct, "front" means a side close to the air return port, and "rear" means a side close to the air outlet port.

Active noise reduction device

The active noise reduction device 100 includes a noise reduction controller 110, a reference microphone 120, a speaker 130, and an error microphone 140, where the reference microphone 120 and the speaker 130 are respectively connected to the noise reduction controller 110, and the error microphone 140 is used for designing the noise reduction controller 110 and confirming the noise reduction effect, and is not involved in the actual operation of the active noise reduction algorithm.

Part of the ventilation duct M is shown in fig. 1.

Referring to fig. 1, the reference microphone 120 is configured to collect a noise signal of a noise source in the ventilation pipe M and send the noise signal to the noise reduction controller 110, where the noise reduction controller 110 processes the noise signal and outputs a noise signal with an opposite phase, and the noise reduction controller 110 may drive the speaker 130 to emit noise with an opposite phase to the noise signal through, for example, a power amplifier PA, and because the noise signal and the noise reduction signal are superimposed, the noise signal may be coherently cancelled, so as to achieve a noise reduction effect.

The reference microphone 120, the speaker 130 and the error microphone 140 are arranged back and forth along the air flow (as shown by the arrows in fig. 1), i.e. the speaker 130 is arranged between the reference microphone 120 and the error microphone 140.

At least one reference microphone 120, like a microphone array, may be provided to collect noise signals at noise sources within the ventilation duct M and to average the noise signals as input after each noise signal has been obtained.

Correspondingly, at least one speaker 130 may be provided, which processes the noise signal inputted by the noise reduction controller 110 to be inverted, and then drives each speaker 130 to output the same noise reduction signal through the power amplifier PA, respectively.

Under the conditions that the input noise signals are relatively uniform and the opening size of the ventilation pipeline is large, the plurality of loudspeakers 130 can be used for enhancing the energy of the noise reduction signals with opposite phases so as to better cancel out the interference of the noise signals with the input noise signals and improve the noise reduction effect.

The error microphones 140 are used to determine the model of the noise reduction controller 110 and confirmation of the noise reduction effect, and thus the number of error microphones 140 may be one or more.

For the plurality of error microphones 140, the model data of the noise reduction controller 110 may be determined for each error microphone 140, and finally the model data of the noise reduction controller 110 is confirmed as a whole, for example, the values of the same parameter in the corresponding representation model in the plurality of error microphones 140 may be averaged to obtain the parameter.

In order to avoid the influence of the air motion in the ventilation duct on the reference microphone 120 and the error microphone 140, each of the reference microphone 120 and the error microphone 140 is respectively wrapped with a windproof and dampproof sound-transmitting material.

The windproof and dampproof sound-transmitting material can be sponge air ball, melamine foam or polyurethane foam, and the material has good sound absorption, flame retardance, heat insulation, damp-heat resistance, stability and the like, and can absorb part of noise signals of a front-end noise source while ensuring normal use of the reference microphone 120 and the error microphone 140, thereby being beneficial to improving noise reduction effect.

Since the error microphone 140 does not participate in the active noise reduction control process when actually used on the air conditioner, the error microphone 140 can be removed after the debugging is finished. But if the active noise reduction debugging process needs to be debugged later, the error microphone 140 needs to be reserved.

In this application, the active noise reduction device 100 in the air conditioner needs to be debugged through the APP, and thus, the error microphone 140 needs to be retained in the active noise reduction device 100.

It should be noted that, the air conditioner in the present application refers to an air conditioning product having an air duct type structure, such as a fresh air fan, an air duct type air conditioner, a household cabinet air conditioner, and the like.

[ active noise reduction control System ]

Referring to fig. 1, the reference microphone 120, the speaker 130, and the error microphone 140 are sequentially arranged along the air flow indicated by the arrow, i.e., the reference microphone 120 is disposed at the front end of the ventilation duct, the error microphone 140 is disposed at the rear end of the ventilation duct, and the speaker 130 is disposed between the reference microphone 120 and the error microphone 140.

The reference microphone 120 is used for collecting original noise in a pipeline, the loudspeaker 130 is driven by the noise reduction controller 110 through the power amplifier PA to send out secondary noise which is opposite to the original noise, the original noise is overlapped with the secondary noise, the original noise is reduced, and the active noise reduction function is realized.

Since secondary noise emitted by speaker 130 can also be picked up by reference microphone 120, contaminating the original noise and forming feedback, it is necessary to build a transfer function, i.e., an acoustic feedback channel model, for the acoustic feedback channel from speaker 130 to reference microphone 120.

Wherein the noise picked up by the reference microphone 120 includes the original noise of the current sample point and the secondary noise emitted by the speaker 130 of the last sample point.

Referring to fig. 1, the noise reduction controller 110 includes an a/D conversion module (not shown), a filtering algorithm module (not shown), and a D/a conversion module (not shown) in hardware.

The a/D conversion module is configured to receive the noise signal collected by the reference microphone 120, convert the noise signal into a digital signal, and output the digital signal to the filtering algorithm module.

The filtering algorithm module performs filtering processing on the received signal, specifically, outputs a signal opposite to the received noise signal after filtering, and sends the filtered signal to the D/a conversion module.

The D/a conversion module receives the filtered signal and converts it to an analog signal and sends the analog signal to, for example, a power amplifier PA for driving the speaker 130 to emit noise reduction noise in anti-phase with the noise signal collected by the reference microphone 120.

With continued reference to fig. 1, the noise reduction controller 110 mainly includes two parts in the noise reduction control algorithm, that is, the filtering algorithm module includes two parts: an inverse filter 111 and an acoustic feedback path model 112.

The inverting filter 111 is mainly used to compensate the frequency response of the reference microphone 120, the power amplifier PA and the speaker 130 and invert the original noise signal x.

The acoustic feedback path model 112 receives a first value x1 of the output of the inverting filter 111 and outputs a second value x2 of the negative direction.

The sum of the noise signal acquired by the current sampling point and the second value x2 of the previous sampling point of the reference microphone 120 is input to the inverse filter 111 as an estimated value of the original noise signal of the current sampling point.

After that, the output obtained after the filtering by the inverse filter 111 is used as the output of the current sampling point and also as the input of the acoustic feedback channel model 112 of the current sampling point.

After this, the output obtained after the filtering in the acoustic feedback channel model 112 is used as an estimate of the second value x2 of the next sampling point.

Therefore, if the active noise reduction function is to be implemented, the noise reduction controller 110 needs to be built, that is, the coefficient of the inverse filter 111 and the acoustic feedback path model 112 are determined.

Referring to fig. 1, a secondary channel model, that is, a secondary channel model of a secondary channel between the output of the noise reduction controller 110 to the output of the error sensor 140, is required to be used in calculating the coefficients of the inverse filter 111.

The output channels may include secondary channels and acoustic feedback channels, and if the noise reduction controller 110 outputs that there are multiple output channels, the noise reduction controller 110 may be built by knowing the output channel model of each output channel.

The acquisition of the output channel model of each of the plurality of output channels is the same as the acquisition of the secondary channel model, and only the acquisition of the secondary channel model will be described here as an example.

How the coefficients of the inverse filter 111, the secondary channel model and the acoustic feedback channel model 112 are determined will be described below.

The purpose of active noise reduction debugging is to determine the model data of the noise reduction controller 110.

After determining the model data of the noise reduction controller 110, the active noise reduction control process may be run.

Debugging active noise reduction function

An APP (application program) can be loaded on a terminal such as a mobile phone, a PAD or a computer end, the APP is in communication connection with the noise reduction controller 110, and the noise reduction controller 110 is controlled by the power supply of the main control board of the air conditioner.

The APP preset program may automatically debug the noise reduction controller 110, or may be executed step by step according to the key operation of the APP working interface shown in fig. 3.

The debugging process is described below in connection with fig. 2 and 3.

(1) And opening the APP loaded on the terminal, and enabling the air conditioner to stand by.

(2) Connecting APP with noise reduction controller 110, if the connection is unsuccessful, continuing the connection until the connection is successful.

(3) Clicking an identification button on the APP, entering an identification state, identifying an output channel model of the output channel, and storing model data of the output channel model after successful identification.

In this step, when the "identify" key is clicked, the identification of each output channel can be automatically executed, and the model data of the output channel model can be stored after each output channel is identified successfully, wherein whether the identification is successful or not is displayed on the corresponding APP, if the unrecognized output channel exists, the identification needs to be performed again, and if both the identification is successful, the model data is stored.

Or, respectively identifying and storing data for the number of output channels of the air conditioner known in advance, referring to fig. 3, if the current output channel comprises a secondary channel and an acoustic feedback channel, clicking an identification key, entering an identification state, clicking the secondary channel, starting to identify a secondary channel model of the secondary channel, clicking a storage corresponding to the secondary channel after the secondary channel is successfully identified, and storing model data1 of the identified secondary channel model, if the identification is unsuccessful, clicking a re-identification corresponding to the secondary channel, and re-identifying the secondary channel until the identification is successful.

Similarly, the "acoustic feedback channel" is recognized to store the model data2 of the acoustic feedback channel model.

Whether the output channel model of the output channel is successfully identified or not is judged by taking whether the output channel model is converged or not as a judging standard, if the model is converged, the identification is successful, and if the model is not converged, the identification is unsuccessful, and the identification needs to be carried out again on the output channel.

In particular, how to identify to obtain the acoustic feedback channel model and the secondary channel model is described below.

In the standby state of the air conditioner, that is, when there is no original noise, clicking the "secondary channel" button on the APP, entering the secondary channel identification state, at this time, the APP communicates with the noise reduction controller 110, and the noise reduction controller 110 controls the speaker 130 to emit white noise s, the reference microphone 120 and the error microphone 140 both record white noise, which is recorded as d1 and d2, for example, for more than 5 seconds, and thereafter, the speaker 130 is turned off.

In this process, the acoustic feedback channel model is identified by using the first preset model according to the played white noise s and the white noise d1 received by the reference microphone 120, so as to determine the acoustic feedback channel model.

And identifying the secondary channel model by using a second preset model according to the played white noise s and the white noise d2 received by the error microphone 140 so as to determine the secondary channel model.

The first and second predetermined models may be selected as FIR (Finite Impulse Response, finite length unit impulse response) filters, respectively. The FIR filter is the most basic element in the digital signal processing system, it can guarantee any amplitude-frequency characteristic and have strict linear phase-frequency characteristic, and its unit sampling response is finite long, so the FIR filter is a stable system, therefore the FIR filter is used in the noise reduction controller 110, improving the system stability.

(4) After identification is finished, the air conditioner is started to enable the air conditioner to operate, the air supply mode of the air conditioner is started, meanwhile, the loudspeaker 130 is closed, after the fan is stable (for example, the air conditioner operates for a period of time), a record button on the APP is clicked, and recording is started, namely, the reference microphone 120 and the error microphone 140 respectively store original noise, for example, recording time is ensured to be more than 5 seconds.

After recording for up to 20 seconds, the "record" button is clicked again to stop recording.

After clicking the record store button, the data x and d recorded by the reference microphone 120 and the error microphone 140 are stored.

(5) Clicking the "calculate" button on APP determines the control model data of the noise reduction controller 110 from the data1, data2, x and d.

Referring to fig. 1, the original noise x recorded by the reference microphone 120 is filtered by the inverse filter 111 to output a noise reduction signal, the noise reduction signal enters the secondary channel model to be filtered again, a noise reduction signal y is generated, and the noise reduction signal y is picked up by the error microphone 140.

The energy of the error signal e superimposed between the original noise d picked up by the error microphone 140 and the noise reduction signal y is minimized to find the model of the inverse filter 111.

The inverting filter 111 may be selected as an FIR filter. The FIR filter is the most basic element in the digital signal processing system, it can guarantee any amplitude-frequency characteristic and have strict linear phase-frequency characteristic, and its unit sampling response is finite long, so the FIR filter is a stable system, therefore the FIR filter is used in the noise reduction controller 110, improving the system stability.

After the inverse filter 111 and the acoustic feedback path model are calculated according to the above method, control model data of the control model of the noise reduction controller 120 is acquired.

(6) Clicking a write button on the APP, writing the control model data calculated by the APP into the noise reduction controller 110, and completing the debugging of the active noise reduction device 100.

Opening active noise reduction function

In addition, as shown in fig. 3, an "ANC" key is further disposed on the APP interface, so that after the active noise reduction device 100 is debugged, the active noise reduction function is started, and the noise reduction effect is further improved due to the fact that the noise reduction controller 110 in the air conditioner is debugged.

Meanwhile, when the active noise reduction function is performed, the error microphone 140 may be used to record the signal after the coherent cancellation, so as to confirm the actual noise reduction effect.

Because the error microphone 140 does not participate in the active noise reduction control algorithm in the active noise reduction start mode, the active noise reduction device 100 adopts a feedforward active noise reduction control system, so that the noise reduction controller 110 has a simple structure and is easy to keep stable, thereby improving the stability of the whole air conditioner.

Turning off active noise reduction function

After the active noise reduction function is started, the ANC button can be pressed once again to close the active noise reduction function.

The above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be apparent to one skilled in the art that modifications may be made to the technical solutions described in the foregoing embodiments, or equivalents may be substituted for some of the technical features thereof; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.

Claims

1. An APP-based active noise reduction debugging method is used for noise reduction debugging of an active noise reduction device in a ventilating duct of an air conditioner; it is characterized in that the method comprises the steps of,

the active noise reduction device includes:

a noise reduction controller;

the active noise reduction device is controlled by an APP connected with the noise reduction controller and is used for debugging the noise reduction controller;

the active noise reduction debugging method comprises the following steps:

opening an APP on a terminal, and enabling the air conditioner to stand by;

connecting the APP with the noise reduction controller;

opening the air conditioner and closing the loudspeaker;

2. The APP-based active noise reduction debugging method of claim 1, wherein after clicking a key identified on the APP, sequentially selecting output channels, identifying output channel models of the corresponding output channels, and determining whether the output channel models are successfully identified;

if the identification is successful, storing the model data of the output channel model;

and if the identification fails, the output channel model is identified again.

3. The APP-based active noise reduction debugging method of claim 2, wherein the output channel model recognition success indicates that the output channel model converges.

4. The APP-based active noise reduction debugging method of claim 1, wherein clicking on the APP identifies a key, identifies an output channel model of the output channel, and specifically:

controlling the loudspeaker to emit white noise;

picking up the white noise by the reference microphone and the error microphone, respectively;

and identifying an output channel model of the output channel by using a preset model, the white noise and the white noise picked up by the reference microphone and the error microphone.

5. The APP-based active noise reduction debugging method of claim 1, wherein after determining the model of the noise reduction controller, clicking an active noise reduction key on APP to perform an active noise reduction function on the air conditioner; and after clicking the active noise reduction key on the APP again, closing the active noise reduction function.

6. The APP-based active noise reduction debugging method according to any one of claims 1 to 5, wherein the APP may be loaded on a mobile phone, PAD or computer side.

7. The APP-based active noise reduction debugging method of claim 1, wherein the noise reduction controller comprises:

the A/D conversion module receives the noise signals acquired by the reference microphone, converts the noise signals and outputs the converted noise signals;

a filtering algorithm module which receives the signal output by the reference microphone and outputs a filtered signal;

and the D/A conversion module receives the filtered signal output by the filtering algorithm module and outputs the filtered signal to the loudspeaker so as to drive the loudspeaker to send out a noise reduction signal in the opposite phase with the noise signal.

8. The APP-based active noise reduction debugging method of claim 7, wherein the filtering algorithm module comprises:

an inverting filter for inverting the original noise signal collected by the reference microphone;

an acoustic feedback channel model that receives a first value output by the inverting filter and outputs a second value that is negative;

the sum of the noise signal acquired by the reference microphone and the second value is used as an estimated value of the original noise signal and is input to the input end of the inverting filter;

wherein the acoustic feedback path model is a transfer function of an acoustic feedback path between the speaker and the reference microphone.

9. The APP-based active noise reduction debugging method of claim 8, wherein the inverse filter is a FIR filter.