阅读说明：本技术 噪声处理方法及装置、空调器 (Noise processing method and device and air conditioner ) 是由 郭坚文 黄炳南 陈剑丰 于 2019-09-29 设计创作，主要内容包括：本发明公开了一种噪声处理方法及装置、空调器。其中噪声处理方法,包括步骤：预设白噪声数据；采集环境噪声数据并进行处理；根据预设的白噪声数据与处理后的所述环境噪声数据进行计算,生成降噪数据；对所述降噪数据进行处理并输出降噪数据对应的降噪声,使所述降噪声与环境噪声混合叠加形成白噪声。本发明通过实时输出与环境噪声相混合的将噪声来形成白噪声,从而为用户提供一个舒适的环境。(The invention discloses a noise processing method and device and an air conditioner. The noise processing method comprises the following steps: presetting white noise data; collecting and processing environmental noise data; calculating according to preset white noise data and the processed environmental noise data to generate noise reduction data; and processing the noise reduction data and outputting noise reduction corresponding to the noise reduction data, so that the noise reduction and the environmental noise are mixed and superposed to form white noise. The present invention forms white noise by outputting the noise mixed with the ambient noise in real time, thereby providing a comfortable environment for the user.)

1. A method of noise processing, comprising the steps of:

presetting white noise data;

collecting and processing environmental noise data;

calculating according to preset white noise data and the processed environmental noise data to generate noise reduction data;

and processing the noise reduction data and outputting noise reduction corresponding to the noise reduction data, so that the noise reduction and the environmental noise are mixed and superposed to form white noise.

2. The noise processing method according to claim 1, wherein the white noise data is preset by acquiring a big data analysis result on a server and/or a requirement for the white noise set by a current user.

3. The noise processing method of claim 2, wherein the big data analysis result on the server comprises: the white noise data is selected by the user to be the most corresponding to the region, and/or the requirement for the white noise is set to be the most by the user of the corresponding region.

4. The noise processing method of claim 3, wherein the setting of the most demand for white noise by the corresponding regional user comprises: at least one of the amplitude, frequency, peak, median, or phase of the white noise is set.

5. The noise processing method of claim 1, wherein processing the ambient noise data comprises: and amplifying, filtering and converting the digital signal of the environmental noise data.

6. The noise processing method of claim 1, wherein processing the noise reduction data comprises: digital-to-analog conversion and signal amplification are performed.

7. The method of claim 1, wherein the calculating the noise reduction data according to the preset white noise data and the processed ambient noise data specifically comprises:

drawing the ambient noise data into a waveform according to an algorithm;

acquiring sampling points from the environmental noise data;

subtracting the amplitude of the corresponding point in the white noise data from the amplitude corresponding to each sampling point to obtain each amplitude difference;

and inverting the amplitude differences to obtain the noise reduction data.

8. The noise processing method of claim 7, wherein the algorithm is optimally updated by a server.

9. A noise processing apparatus which performs noise reduction using the noise processing method according to any one of claims 1 to 8.

10. The noise processing apparatus of claim 9, comprising:

the noise data acquisition module is used for acquiring the environmental noise data;

the noise preprocessing module is used for processing the environmental noise data;

the noise processing module is used for calculating according to preset white noise data and the processed environmental noise data to generate noise reduction data;

the output signal processing module is used for processing the noise reduction data;

and the playing module outputs the noise reduction sound corresponding to the processed noise reduction data.

11. The noise processing apparatus of claim 10, further comprising:

and the interaction module is used for setting the requirement aiming at the white noise by a user.

12. The noise processing apparatus of claim 10, further comprising: and the self-learning module is used for communicating with the server and acquiring an algorithm for drawing the waveform of the environmental noise data.

13. An air conditioner characterized by employing the noise processing device according to any one of claims 9 to 12.

14. The air conditioner according to claim 13, wherein the noise processing means comprises: the noise processing device comprises an indoor unit noise processing device for processing noise of environment noise emitted by an indoor unit and an outdoor unit noise processing device for processing noise of environment noise emitted by an outdoor unit.

15. The air conditioner of claim 13, wherein the noise collection module comprises: the noise control system comprises an indoor unit noise data acquisition module for acquiring the environmental noise emitted by the indoor unit and an outdoor unit noise data acquisition module for acquiring the environmental noise emitted by the outdoor unit.

Technical Field

The present invention relates to active noise reduction technology, and more particularly, to a method and an apparatus for noise processing, and an air conditioner using the noise processing apparatus.

Background

With the development of economy and the continuous improvement of life quality, the requirements of people on the environment are higher and higher. People rely on many electric appliances in daily life, and an air conditioner is one of the most common electric appliances. The pursuit of air conditioning is not just rapid cooling, but rather the desire to create a comfortable and pleasant environmental impact. However, the air conditioner inevitably generates noise during operation, and the noise caused by daily appliances is a pollution source which seriously affects people's work and rest, and the household air conditioner is one of the generation sources. The household air conditioner outdoor unit is usually installed outside a wall or on a windowsill which is not far away from an indoor unit, continuous low-frequency and medium-frequency noise can be generated in the operation process, and secondary noise is generated by the air outlet vibration of the indoor unit and the air outlet vibration of the indoor unit which are transmitted to the indoor unit through the wall and window glass.

Most of air conditioners in the market generally use passive sound insulation, namely noise reduction is realized through an outer machine sound insulation structure, but the method can only reduce noise volume to a certain extent, cannot solve the problem of vibration noise conduction, and is poor in effect and high in production difficulty. The annoying noise generated by the air conditioner is exactly the middle and low frequency sound generated by vibration transmission to the indoor, and the conditions are complex and various. Some hopes of existing active noise reduction technology are that the noise is offset comprehensively, but in the practical process the noise situation is complicated various, and it is difficult to offset completely, leads to newly increasing the noise source, and people's environment may become worse. In still other active noise reduction techniques, although the sound volume is reduced by reducing the amplitude of the noise by some means, in a relatively quiet environment, even if the sound volume is relatively low, such noise still causes uncomfortable disturbance to the life of people, and affects the living environment of people.

Disclosure of Invention

In order to solve the technical problem that the living noise in the prior art cannot effectively solve the problem of providing comfortable environment for people, a noise processing method and device and an air conditioner are provided.

The noise processing method provided by the invention comprises the following steps:

presetting white noise data;

collecting and processing environmental noise data;

calculating according to preset white noise data and the processed environmental noise data to generate noise reduction data;

and processing the noise reduction data and outputting noise reduction corresponding to the noise reduction data, so that the noise reduction and the environmental noise are mixed and superposed to form white noise.

Specifically, the white noise data is preset by obtaining a big data analysis result on the server and/or a requirement set by a current user for the white noise.

Specifically, the big data analysis result on the server includes: the white noise data is selected by the user to be the most corresponding to the region, and/or the requirement for the white noise is set to be the most by the user of the corresponding region.

Specifically, the requirement set by the user in the corresponding region to the maximum white noise includes: at least one of the amplitude, frequency, peak, median, or phase of the white noise is set.

Specifically, the processing the environmental noise data includes: and amplifying, filtering and converting the digital signal of the environmental noise data.

Specifically, the processing the noise reduction data includes: digital-to-analog conversion and signal amplification are performed.

Specifically, the calculating and generating the noise reduction data according to the preset white noise data and the processed environmental noise data specifically includes:

drawing the ambient noise data into a waveform according to an algorithm;

acquiring sampling points from the environmental noise data;

subtracting the amplitude of the corresponding point in the white noise data from the amplitude corresponding to each sampling point to obtain each amplitude difference;

and inverting the amplitude differences to obtain the noise reduction data.

Preferably, the algorithm is optimally updated by the server.

The noise processing device provided by the invention adopts the noise processing method in the technical scheme to reduce noise.

Specifically, the noise processing device of the present invention includes:

the noise data acquisition module is used for acquiring the environmental noise data;

the noise preprocessing module is used for processing the environmental noise data;

the noise processing module is used for calculating according to preset white noise data and the processed environmental noise data to generate noise reduction data;

the output signal processing module is used for processing the noise reduction data;

and the playing module outputs the noise reduction sound corresponding to the processed noise reduction data.

Preferably, the method further comprises the following steps: the self-learning module is used for communicating with the server and acquiring an algorithm for drawing the waveform of the environmental noise data.

The air conditioner provided by the invention adopts the noise processing device in the technical scheme.

In a preferred embodiment, the noise processing apparatus includes: the noise processing device comprises an indoor unit noise processing device for processing noise of environment noise emitted by an indoor unit and an outdoor unit noise processing device for processing noise of environment noise emitted by an outdoor unit. In another preferred embodiment, the noise collection module comprises: the noise control system comprises an indoor unit noise data acquisition module for acquiring the environmental noise emitted by the indoor unit and an outdoor unit noise data acquisition module for acquiring the environmental noise emitted by the outdoor unit.

According to the invention, multi-source sampling is taken, indoor and outdoor noise data are collected at the same time, an optimal noise reduction sound waveform is obtained by the air conditioner noise processing module or the cloud processing server, and a sound for canceling the noise is generated through the loudspeaker in a signal mode, so that the indoor noise is cancelled, the noise generated by the vibration of indoor and outdoor machines is effectively cancelled, and the user experience is improved; noise data of the environment where each user is located and noise reduction setting commonly used by the users can be collected on line through a network, noise reduction data are continuously accumulated and perfected by utilizing related algorithms, and the optimized latest algorithm is issued and updated to the local of each user air conditioner through a server, so that the purpose of self-learning is achieved; the invention avoids the result of pure output with poor practical effect and the aim of silencing by the technical means, and aims to generate a sound with gentle, stable and regular frequency and comfortable feeling for users according to the actual noise; technicians of related manufacturers can customize related noise reduction schemes through setting data fed back by the users and collected by the server, so that a more humanized effect is provided for the users.

Drawings

The invention is described in detail below with reference to examples and figures, in which:

fig. 1 is a block diagram showing the structure of a noise processing device according to the present invention.

Fig. 2 is a flow chart of the noise processing method of the present invention.

Detailed Description

The principles and embodiments of the present invention are described in detail below with reference to the accompanying drawings.

As shown in fig. 1 and fig. 2, the noise reduction method of the present invention does not eliminate noise, but converts noise into white noise meeting the user's requirements, and the proper white noise has a certain help effect on people's rest and sleep aid, so as to reduce the influence of environmental noise on people's life.

Fig. 1 shows a basic structure block diagram of the present invention, and the noise processing apparatus of the present invention includes a noise data acquisition module, a noise preprocessing module, a noise processing module, an output signal processing module, and a playing module. Further, the system can also comprise an interactive module and a self-learning module, wherein the name of the interactive module is a user selection method/fine adjustment setter. Acquiring ambient noise data by a noise data acquisition module; and then the noise preprocessing module processes the environmental noise data, and amplifies, filters and converts the environmental noise data into digital signals. The noise processing module calculates according to preset white noise data and processed environment noise data to generate noise reduction data. And then the output signal processing module processes the noise reduction data, performs digital-to-analog conversion and signal amplification on the noise reduction data, and outputs noise reduction sound corresponding to the processed noise reduction data by the playing module. The interactive module can be used for setting requirements aiming at white noise by a user, the user can select the corresponding white noise through the interactive module, and at least one of the amplitude, the frequency, the peak value, the median value or the phase of the white noise can be set. The self-learning module is communicated with a server (also called a cloud processing server) to acquire latest data or algorithms and the like.

The following describes the specific processing method of the noise processing of the present invention in detail.

As shown in fig. 2, the present invention presets white noise data, which can be performed by the following methods, respectively or in combination. One is to acquire white noise data by acquiring a large data analysis result on a server, for example, the server may give white noise data of which the corresponding region is most selected by a user through analysis. The other is to preset white noise data according to the requirement set by the current user for the white noise, for example, the user may select locally built-in white noise data, and certainly, the internally built-in white noise data may also be white noise data which is obtained by the server and has the best corresponding region and is selected by the user most, so that the reaction processing speed may be faster. In addition, the user may have some personalized requirements, which include setting at least one of the amplitude, frequency, peak, median, or phase of the white noise. Further, the user can directly obtain the requirement for white noise which is most set by the user in the corresponding region through the server.

After the white noise data is preset, the environmental noise data can be collected and processed in real time. Then, carrying out real-time calculation on white noise data preset according to the method and the processed environmental noise data to generate noise reduction data; and finally, processing the noise reduction data in real time, outputting noise reduction corresponding to the noise reduction data in time, and mixing and superposing the noise reduction data and the environmental noise together to form a preset white noise effect.

In the above process, the noise reduction data is calculated and generated according to the preset white noise data and the processed environmental noise data, specifically, the environmental noise data is drawn into a waveform according to an algorithm in the self-learning module, and sampling points are obtained from the environmental noise data. And subtracting the amplitude of the corresponding point in the white noise data from the amplitude corresponding to each sampling point to obtain each amplitude difference, and inverting each amplitude difference to obtain the noise reduction data.

The following describes the present invention in detail with reference to an air conditioner as a specific embodiment.

In one embodiment, the present invention may be configured with two noise processing devices to reduce noise of the air conditioner, one being an indoor unit noise processing device that performs noise processing on ambient noise emitted by an indoor unit and the other being an outdoor unit noise processing device that performs noise processing on ambient noise emitted by an outdoor unit.

In another embodiment, the noise collection module may be divided into an indoor unit noise data collection module for collecting the environmental noise emitted by the indoor unit and an outdoor unit noise data collection module for collecting the environmental noise emitted by the outdoor unit. The indoor unit noise data acquisition module can be a module of an indoor unit, or can be installed near an air outlet of the indoor unit as a module independent of the indoor unit, and the same outdoor unit noise data acquisition module can be a module of an outdoor unit, or can be installed near the outdoor unit as a module independent of the outdoor unit.

When the air conditioner is started, the outdoor unit noise data acquisition module can acquire vibration noise near an outdoor unit of the air conditioner, the indoor unit noise data acquisition module can acquire vibration noise near an air outlet of an indoor unit of the air conditioner, and the outdoor unit noise data acquisition module and the indoor unit noise data acquisition module can be simultaneously performed. And then the noise preprocessing module amplifies, filters and converts the acquired vibration signals into digital signals. The obtained digital signals are subjected to a noise reduction algorithm of the noise processing module and set by a user to obtain a noise reduction waveform, and the noise reduction algorithm and the set of the user can be used as learning data and transmitted to the server through the self-learning module to collect big data. Certainly, under the condition of networking the air conditioners, the noise processing module can directly transmit digital signals to the self-learning module and further transmit the digital signals to the server, the server obtains noise reduction waveforms through the latest algorithm and relevant user settings (current user settings of the air conditioner or the most common user settings), the noise reduction waveforms are transmitted to the noise processing module through the self-learning module, the noise processing module transmits the noise reduction waveforms to the output signal processing module for digital-to-analog conversion and signal amplification, and then the noise processing module generates sounds capable of being offset with vibration noises through the playing module of the air conditioner, such as an indoor loudspeaker, and the sounds of white noises with relatively smooth and stable frequencies are formed after the sounds are mixed with actual vibration noises, so that people can feel comfortable and relaxed, and the noise reduction effect is achieved.

The server collects relevant user settings (i.e., white noise settings) through the self-learning modules of the respective air conditioners, optimizes the algorithm, and then updates the latest data to the respective air conditioners through the network. And the self-learning module can further learn and update according to the data fed back by the server, so that the noise reduction scheme of the air conditioner is continuously optimized in the noise reduction process.

The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.