CN112771606A

CN112771606A - Automobile air conditioner noise control system and method and related vehicle-mounted equipment

Info

Publication number: CN112771606A
Application number: CN202080005046.6A
Authority: CN
Inventors: 仲旭; 吴晟; 邢堃
Original assignee: Huawei Technologies Co Ltd
Current assignee: Huawei Technologies Co Ltd
Priority date: 2020-12-31
Filing date: 2020-12-31
Publication date: 2021-05-07
Also published as: WO2022141562A1

Abstract

The embodiment of the application discloses a noise control system and method for an automobile air conditioner and related equipment. The noise control system of the automobile air conditioner comprises M reference microphones, N error microphones and Q secondary sources, wherein the N error microphones are respectively positioned in backrest areas of K seats in a target vehicle; the reference microphone is used for: acquiring a first noise signal at least one air conditioner air outlet corresponding to the target vehicle; the error microphone is used for: acquiring second noise signals of the periphery of the seat where the error microphones are located in the K seats; the secondary source is used for: and respectively controlling the sound energy of the noise monitored by the corresponding error microphone based on the first noise signal and the second noise signal. By implementing the embodiment of the application, the noise of the air conditioner in the automobile can be effectively reduced.

Description

Automobile air conditioner noise control system and method and related vehicle-mounted equipment

Technical Field

The application relates to the field of intelligent vehicles, in particular to a noise control system and method for an automobile air conditioner and related vehicle-mounted equipment.

Background

When an automobile runs, passengers often turn on an air conditioning system in the automobile to adjust the temperature due to too low or too high temperature in the automobile. However, after the air conditioner is in an open working state, the air outlet is often accompanied by noise due to the flow of air flow, and the noise of the air conditioner has great influence on the riding comfort of passengers.

At present, the noise of the automobile air conditioner can be controlled by passive noise reduction and active noise reduction in the automobile field. The passive noise reduction effect is limited, and if a sound absorption material is added, the noise can be reduced by about 3 decibels; in addition, because of the problem of traffic safety, the maximum value of the defrosting air volume of the air conditioner is required, and in this case, the noise of the air conditioner is inevitably large, and the problem of noise cannot be solved by reducing the air volume. The active noise reduction is implemented by using the principle of destructive interference of sound waves, and the lower the frequency and the narrower the bandwidth of the noise are, the easier the control is. In order to ensure that noise generated at an air outlet of an air conditioner can be offset, a microphone and a secondary source are often arranged in a pipeline of the air outlet, and the sound energy of the microphone is controlled by the secondary source. However, this solution can only ensure the sound reduction near the air outlet, but cannot ensure the sound reduction at the ear, and the noise at the ear may increase due to the secondary superposition of the control sound of the secondary source. Moreover, the space left for the hardware arrangement in the pipeline is very limited, if all the hardware is arranged, the airflow is possibly too small, the effect of adjusting the temperature is poor, and the hardware can also block the flow of the airflow and can bring extra noise.

Therefore, how to effectively reduce the noise of the air conditioner in the automobile is an urgent problem to be solved.

Disclosure of Invention

The embodiment of the application provides a noise control system and method for an automobile air conditioner and related equipment, so that the noise of the air conditioner in an automobile is effectively reduced.

In a first aspect, an embodiment of the present application provides a noise control system for an air conditioner of a vehicle, which may include: m reference microphones, N error microphones, and Q secondary sources, wherein the N error microphones are located in the backrest regions of K seats in the target vehicle, respectively, and M, N, Q, K are positive integers, respectively; the reference microphone is used for acquiring a first noise signal at least one air conditioner air outlet corresponding to the target vehicle and sending the first noise signal to the processor, and the reference microphone is any one of the M reference microphones; the error microphone is used for acquiring a second noise signal around the seat where the error microphone is located in the K seats and sending the second noise signal to the processor, and the error microphone is any one of the N error microphones; and the secondary source is used for respectively controlling the sound energy of the noise monitored by the corresponding error microphone based on the first noise signal and the second noise signal, and is any one of the Q secondary sources.

Implementing the embodiments provided in the first aspect, the error microphone may collect the noise level near the seat and feed back to the secondary source, and the reference microphone may detect the noise level near the air inlet and feed back to the secondary source. Then, the secondary source can output sound wave signals with the same frequency and different phases with the noise collected by the corresponding error microphone according to the noise levels fed back by the error microphone and the reference microphone by utilizing the sound wave destructiveness, so that the active noise control is realized on the noise near the seat, the noise in the vehicle is further greatly inhibited, and the problem that the noise reduction effect of the air conditioner in the vehicle is limited by the existing passive noise control method is effectively solved. In the prior art, active noise reduction is to actively control the position near an error microphone, and the error microphone is usually positioned in a pipeline or at an air outlet of an air conditioner, so that after a secondary source outputs a sound wave signal, the sound at the ear of a person cannot be reduced. And N error microphones are respectively positioned in the backrest regions of K seats in the target vehicle, so that the problem of noise increase at the ears in the active noise control process is avoided. In addition, because the error microphone is not required to be arranged in the pipeline, a large amount of hardware is not required to be arranged in the pipeline to prevent the smooth flow of the airflow in the pipeline, and further, extra noise caused by the blockage of the airflow can be avoided, and the effect of reducing the noise of the air conditioner in the automobile is improved.

In one possible implementation, the system further includes a processor; the processor is configured to receive the first noise signal and the second noise signal; calculating a control signal based on the first noise signal and the second noise signal; and sending the control signal to the secondary source; the secondary source is specifically configured to control the sound energy of the noise monitored by the corresponding error microphone based on the control signal. According to the embodiment of the application, the reference microphone and the error microphone can feed collected noise signals back to the processor, and then the processor can calculate control signals according to the noise levels fed back by the error microphone and the reference microphone to control the secondary source to utilize sound wave destructiveness, and based on the control signals, sound wave signals with the same frequency and different phases of the noise collected by the corresponding error microphone are output to realize active noise control on the noise near the seat.

In one possible implementation, the reference microphone is specifically configured to: when an air conditioner opening signal of a target air conditioner air outlet is received, collecting the first noise signal at the at least one air conditioner air outlet, and sending the first noise signal to the processor; the error microphone is specifically used for collecting a second noise signal of the periphery of the seat where the error microphone is located in the K seats when the air conditioner starting signal is received, and sending the second noise signal to the processor. By implementing the embodiment of the application, the noise control system of the automobile air conditioner does not work when the air conditioner is closed, and the noise control system of the automobile air conditioner starts to work after the air conditioner is detected to be opened. Greatly saves the resources in the automobile and prolongs the working time of the noise control system of the automobile air conditioner.

In one possible implementation, the N error microphones are respectively located at the heads of the backrest regions of the K seats. By implementing the embodiment of the application, in order to improve the effect of reducing the noise at the ears of a person in the noise control system of the automobile air conditioner, the error microphones can be respectively installed at the heads of the backrest regions of the K seats in the automobile, so that the noise at the ears of the person can be collected by the error microphones in a short distance, and the processor can accurately control the secondary source to output the sound wave signals with the same frequency and the same phase as the noise.

In one possible implementation, the Q secondary sources are located at the heads of the backrest regions of the K seats, respectively. By implementing the embodiment of the application, the error microphone in the noise control system of the automobile air conditioner is used for collecting the noise signals around the seat where the error microphone is located in the K seats, and the secondary source can output the sound wave signals corresponding to the noise signals so as to control the noise energy. Therefore, the secondary source is arranged at the head of the backrest region which is closer to the human ear, so that when the secondary source outputs signals, the noise at the human ear cannot be counteracted because of too far distance.

In a possible implementation manner, the M reference microphones are respectively located outside the corresponding pipes of the at least one air-conditioning outlet and within a preset distance range of the at least one air-conditioning outlet. By implementing the embodiment of the application, the position of the reference microphone is arranged outside the pipeline of the air-conditioning air outlet and is close to the air-conditioning air outlet. Not only can guarantee in the pipeline of air conditioner air outlet, can not obstruct the flow of air current because of consulting microphone hardware itself to produce extra noise. Moreover, the problem that a plurality of air outlets close to each other cannot be collected due to the fact that the air outlets are placed in the pipeline, and resource waste is caused can be avoided.

In one possible implementation manner, each of the M reference microphones corresponds to one air conditioner outlet, and each of the M reference microphones corresponds to at least two error microphones. By implementing the embodiment of the application, when each reference microphone collects the noise signal of one air conditioner air outlet, each reference microphone at least corresponds to two error microphones to collect the noise signal around the seat, and the two error microphones can be positioned in the backrest area of the same seat and also can be positioned in the backrest areas of different seats, so that the air conditioner noise in the automobile can be effectively and accurately reduced.

In one possible implementation, the secondary source is an electroacoustic transducer that converts an electrical signal into an acoustic signal. By implementing the embodiment of the application, in the process of actively controlling the noise signal, the secondary source can convert the control signal calculated by the processor into the sound wave signal with the same frequency and different phases (such as the same frequency and opposite phases) with the second noise signal collected by the error microphone, so as to counteract the noise in the vehicle and reduce the sound energy of the noise signal. For example, the secondary source may be a speaker, stereo, or the like.

In one possible implementation, 2a × K equals N to Q, and N and Q are even numbers greater than or equal to 2, a is a positive integer, and is a multiple, wherein each of the K seats corresponds to at least 2 error microphones and at least 2 secondary sources, respectively. By implementing the embodiment of the application, each seat corresponds to at least 2 error microphones and at least 2 secondary sources respectively, and the noise signals in the automobile can be reduced more efficiently and accurately.

In one possible implementation, N is equal to Q, where the N error microphones are in one-to-one correspondence with the Q secondary sources. By implementing the embodiment of the application, each error microphone can correspond to one secondary source, so that the noise signal collected by each error microphone can be controlled by the secondary source to control the sound energy, and further, the noise signal in the vehicle is effectively reduced.

In one possible implementation manner, the N error microphones include a first type error microphone and a second type error microphone, the first type error microphone is used for acquiring a noise signal at the left ear of the user, and the second type error microphone is used for acquiring a noise signal at the right ear of the user; the Q secondary sources comprise a first class of secondary sources and a second class of secondary sources, and the first class of secondary sources are used for controlling the sound energy of the noise monitored by the first class of error microphones based on the control signal so as to reduce the sound energy at the left ear of the user; and the second type secondary source is used for controlling the sound energy of the noise monitored by the second type error microphone based on the control signal so as to reduce the sound energy at the right ear of the user. Implement this application embodiment, for the noise signal in the more accurate control car, divide into two types with error microphone and secondary source, gather respectively and control the noise signal of user's left ear and right ear department to optimize noise control effect, improve user experience.

In a second aspect, an embodiment of the present application provides a noise control method for an automotive air conditioner, which is applied to a noise control system for an automotive air conditioner, where the noise control system for an automotive air conditioner includes: m reference microphones, N error microphones, and Q secondary sources, wherein the N error microphones are located in the backrest regions of K seats in the target vehicle, respectively, and M, N, Q, K are positive integers, respectively; the method comprises the following steps: collecting a first noise signal at least one corresponding air conditioner air outlet in the target vehicle through a reference microphone, wherein the reference microphone is any one of the M reference microphones; collecting a second noise signal of the periphery of a seat where the error microphone is located in the K seats through the error microphone, wherein the error microphone is any one of the N error microphones; and respectively controlling the sound energy of the noise monitored by the corresponding error microphone based on the first noise signal and the second noise signal through a secondary source, wherein the secondary source is any one of the Q secondary sources.

In one possible implementation manner, the automobile air conditioner noise control system further comprises a processor; the method further comprises the following steps: receiving, by the processor, the first noise signal and the second noise signal; calculating a control signal by an adaptive filtering algorithm based on the first noise signal and the second noise signal; sending the control signal to the secondary source; the controlling, by the secondary source, the sound energy of the noise monitored by the corresponding error microphone based on the first noise signal and the second noise signal, respectively, includes: and respectively controlling the sound energy of the noise monitored by the corresponding error microphone based on the control signal through the secondary source.

In one possible implementation manner, the collecting, by a reference microphone, a first noise signal at a corresponding at least one air-conditioning air outlet in the target vehicle and sending the first noise signal to the processor includes: when an air conditioner opening signal of a target air conditioner air outlet is received, the reference microphone is used for collecting the first noise signal at the at least one air conditioner air outlet and sending the first noise signal to the processor; the through error microphone gather in K seat the peripheral second noise signal of seat that the error microphone was located, and with the second noise signal send to the treater, include: when the air conditioner starting signal is received, a second noise signal of the periphery of the seat where the error microphone is located in the K seats is collected through the error microphone, and the second noise signal is sent to the processor.

In one possible implementation, the N error microphones are respectively located at the heads of the backrest regions of the K seats.

In one possible implementation, the Q secondary sources are located at the heads of the backrest regions of the K seats, respectively.

In a possible implementation manner, the M reference microphones are respectively located outside the corresponding pipes of the at least one air-conditioning outlet and within a preset distance range of the at least one air-conditioning outlet.

In one possible implementation manner, each of the M reference microphones corresponds to one air conditioner outlet, and each of the M reference microphones corresponds to at least two error microphones.

In one possible implementation, the secondary source is an electroacoustic transducer that converts an electrical signal into an acoustic signal.

In one possible implementation, 2a × K equals N to Q, and N and Q are even numbers greater than or equal to 2, a is a positive integer, and is a multiple, wherein each of the K seats corresponds to at least 2 error microphones and at least 2 secondary sources, respectively.

In one possible implementation, N is equal to Q, where the N error microphones are in one-to-one correspondence with the Q secondary sources.

In one possible implementation manner, the N error microphones include a first type error microphone and a second type error microphone, the first type error microphone is used for acquiring a noise signal at the left ear of the user, and the second type error microphone is used for acquiring a noise signal at the right ear of the user; the Q secondary sources comprise a first class of secondary sources and a second class of secondary sources, and the first class of secondary sources are used for controlling the sound energy of the noise monitored by the first class of error microphones based on the control signal so as to reduce the sound energy at the left ear of the user; and the second type secondary source is used for controlling the sound energy of the noise monitored by the second type error microphone based on the control signal so as to reduce the sound energy at the right ear of the user.

In a third aspect, an embodiment of the present application provides an electronic device, where the electronic device includes a processor and a memory, where the memory is configured to store a car air conditioner noise control program code, and the processor is configured to call the car air conditioner noise control program code to execute: receiving a first noise signal and a second noise signal, wherein the first noise signal is a noise signal collected by a reference microphone at least one air conditioner air outlet corresponding to a target vehicle, and the second noise signal is a noise signal collected by an error microphone at the periphery of a seat where the error microphone is located in K seats in the target vehicle, wherein the target vehicle comprises M reference microphones, N error microphones and Q secondary sources, the N error microphones are respectively located in backrest regions of the K seats in the target vehicle, the reference microphone is any one of the M reference microphones, the error microphone is any one of the N error microphones, and M, N, Q, K are respectively positive integers; calculating a control signal according to the first noise signal and the second noise signal; and controlling the sound energy of the noise monitored by the N error microphones based on the control signal.

In one possible implementation, the target vehicle includes Q secondary sources, Q being a positive integer; the processor is used for calling the automobile air conditioner noise control program code to specifically execute: and sending the control signal to a secondary source, and controlling the secondary source to respectively control the sound energy of the noise monitored by the corresponding error microphone based on the control signal, wherein the secondary source is any one of the Q secondary sources.

In one possible implementation, the N error microphones include a first type of error microphone and a second type of error microphone, and the Q secondary sources include a first type of secondary source and a second type of secondary source; the processor is used for calling the automobile air conditioner noise control program code to specifically execute: receiving the first noise signal and the user left ear noise signal collected by the first type of error microphone, and the user right ear noise signal collected by the second type of error microphone; calculating a left ear control signal according to the first noise signal and the left ear noise signal; calculating a right ear control signal according to the first noise signal and the right ear noise signal; based on the left ear control signal, controlling the first class secondary source to respectively control the sound energy of the noise monitored by the corresponding first class error microphone; and controlling the second type secondary source to respectively control the sound energy of the noise monitored by the corresponding second type error microphone based on the right ear control signal.

In a fourth aspect, an embodiment of the present application provides an apparatus, which includes a processor configured to: receiving a first noise signal and a second noise signal, wherein the first noise signal is acquired by a reference microphone at least one air conditioner air outlet corresponding to a target vehicle, the second noise signal is acquired by an error microphone at the periphery of a seat where the error microphone is located in K seats in the target vehicle, the target vehicle comprises M reference microphones and N error microphones, the N error microphones are respectively located in backrest regions of the K seats in the target vehicle, the reference microphone is any one of the M reference microphones, the error microphone is any one of the N error microphones, and M, N, K are respectively positive integers; calculating a control signal according to the first noise signal and the second noise signal; and controlling the sound energy of the noise monitored by the N error microphones based on the control signal.

In one possible implementation, the N error microphones include a first type of error microphone and a second type of error microphone, and the Q secondary sources include a first type of secondary source and a second type of secondary source; the processor is specifically configured to: receiving the first noise signal and the user left ear noise signal collected by the first type of error microphone, and the user right ear noise signal collected by the second type of error microphone; calculating a left ear control signal according to the first noise signal and the left ear noise signal; calculating a right ear control signal according to the first noise signal and the right ear noise signal; based on the left ear control signal, controlling the first class secondary source to respectively control the sound energy of the noise monitored by the corresponding first class error microphone; and controlling the second type secondary source to respectively control the sound energy of the noise monitored by the corresponding second type error microphone based on the right ear control signal.

In a fifth aspect, an embodiment of the present application provides a computer storage medium for storing computer software instructions for the method for controlling noise of an air conditioner of a vehicle provided in the second aspect, which includes a program for executing the method designed in the above aspect.

In a sixth aspect, the present application provides a computer program, where the computer program includes instructions, and when the computer program is executed by a computer, the computer may execute the flow executed by the vehicle air conditioner noise control method in the second aspect.

In a seventh aspect, an embodiment of the present application provides an intelligent vehicle, which includes an automotive air conditioning noise control system, where the automotive air conditioning noise control system is configured to execute corresponding functions in the automotive air conditioning noise control method provided in the second aspect.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments or the background art of the present application, the drawings required to be used in the embodiments or the background art of the present application will be described below.

Fig. 1 is a functional block diagram of an intelligent vehicle 001 according to an embodiment of the present disclosure.

Fig. 2 is a schematic structural diagram of a computing device in a noise control system of an automotive air conditioner according to an embodiment of the present application.

Fig. 3 is a noise control system for an air conditioner of a vehicle according to an embodiment of the present application.

Fig. 4 is a schematic diagram of a positional relationship between a reference microphone and an air outlet of an air conditioner according to an embodiment of the present application.

Fig. 5 is a schematic diagram of a correspondence relationship between a reference microphone and an error microphone according to an embodiment of the present application.

Fig. 6 is a schematic diagram of a positional relationship between an error microphone and a seat in an intelligent vehicle according to an embodiment of the present application.

Fig. 7 is a schematic diagram of a positional relationship between a secondary source and a seat in an intelligent vehicle according to an embodiment of the present application.

Fig. 8 is a schematic flow chart of a noise control method for an automotive air conditioner according to an embodiment of the present application.

Fig. 9 is a schematic flow chart of noise control of an automobile air conditioner based on an adaptive filtering algorithm according to an embodiment of the present application.

Fig. 10 is a schematic structural diagram of a noise control device of an automotive air conditioner according to an embodiment of the present application.

Fig. 11 is a schematic structural diagram of another noise control device for an automotive air conditioner according to an embodiment of the present application.

Detailed Description

The embodiments of the present application will be described below with reference to the drawings.

First, some terms in the present application are explained so as to be easily understood by those skilled in the art.

(1) A Microphone (Microphone) may include a transducer that converts sound into an electronic signal. Microphones may include various types of moving coil, condenser, electret, and silicon microphones.

(2) Destructive interference, when two rows of sound waves are transmitted to the same point in a medium, if the vibration characteristics of the two sound waves generated at the point are opposite, the vibration at the point can be weakened or even eliminated by mutual action, and the phenomenon is destructive interference.

(3) Adaptive filtering may include the process of approximating the mixed signal to a desired signal. In the process of approximation, iteration is performed according to a certain rule (the iteration rule can be set) by taking Mean Square Error (MSE) of an observed signal and a real (expected) signal as a quantization index until the algorithm converges (convergence conditions are many, such as reaching a preset iteration number, or reaching an allowable error).

In order to facilitate understanding of the embodiments of the present application, a description will be given below of an intelligent vehicle equipped with an automotive air conditioning noise control system according to the embodiments of the present application.

Referring to fig. 1, fig. 1 is a functional block diagram of an intelligent vehicle 001 according to an embodiment of the present disclosure.

In one embodiment, the smart vehicle 001 may be configured in a fully or partially autonomous driving mode. For example, the smart vehicle 001 may control itself while in the autonomous driving mode, and may determine a current state of the vehicle and its surroundings by human operation, determine a possible behavior of at least one other vehicle in the surroundings, and determine a confidence level corresponding to a likelihood that the other vehicle performs the possible behavior, controlling the smart vehicle 001 based on the determined information. When the smart vehicle 001 is in the autonomous driving mode, the smart vehicle 001 may be placed into operation without interaction with a human.

The smart vehicle 001 may include various subsystems such as a travel system 202, a sensor system 204, a control system 206, one or more peripherals 208, as well as a power supply 210, a computer system 212, and a user interface 216. Alternatively, the smart vehicle 001 may include more or fewer subsystems, and each subsystem may include multiple elements. In addition, each subsystem and element of the smart vehicle 001 may be interconnected by wire or wirelessly.

The travel system 202 may include components that provide powered motion to the smart vehicle 001. In one embodiment, the travel system 202 may include an engine 218, an energy source 219, a transmission 220, and wheels/tires 221.

The engine 218 may be an internal combustion engine, an electric motor, an air compression engine, or other type of engine combination, such as a hybrid engine of a gasoline engine and an electric motor, or a hybrid engine of an internal combustion engine and an air compression engine. The engine 218 converts the energy source 219 into mechanical energy.

Examples of energy sources 219 include gasoline, diesel, other petroleum-based fuels, propane, other compressed gas-based fuels, ethanol, solar panels, batteries, and other sources of electrical power. The energy source 219 may also provide energy for other systems of the smart vehicle 001.

The transmission 220 may transmit mechanical power from the engine 218 to the wheels 221. The transmission 220 may include a gearbox, a differential, and a drive shaft. In one embodiment, the transmission 220 may also include other devices, such as a clutch. Wherein the drive shaft may comprise one or more shafts that may be coupled to one or more wheels 221.

The sensor system 204 may include several sensors that sense information about the environment surrounding the smart vehicle 001. For example, the sensor system 204 may include a positioning system 222 (which may be a Global Positioning System (GPS) system, a Beidou system, or other positioning system), an Inertial Measurement Unit (IMU) 224, a radar 226, a laser range finder 228, and a camera 230. The sensor system 204 may also include sensors that are monitored for internal systems of the smart vehicle 001 (e.g., an in-vehicle air quality monitor, a fuel gauge, an oil temperature gauge, etc.). Sensor data from one or more of these sensors may be used to detect the object and its corresponding characteristics (position, shape, orientation, velocity, etc.). Such detection and identification is a critical function of the safe operation of the autonomous smart vehicle 001.

The positioning system 222 may be used to estimate the geographic location of the smart vehicle 001.

The IMU 224 is used to sense position and orientation changes of the smart vehicle 001 based on inertial acceleration. In one embodiment, the IMU 224 may be a combination of an accelerometer and a gyroscope. For example: the IMU 224 may be used to measure the curvature of the smart vehicle 001.

The radar 226 may utilize radio signals to sense objects within the surrounding environment of the smart vehicle 001. In some embodiments, in addition to sensing objects, radar 226 may also be used to sense the speed and/or heading of an object.

The laser rangefinder 228 may utilize laser light to sense objects in the environment in which the smart vehicle 001 is located. In some embodiments, laser rangefinder 228 may include one or more laser sources, laser scanners, and one or more detectors, among other system components.

The camera 230 may be used to capture multiple images of the surrounding environment of the smart vehicle 001. The camera 230 may be a still camera or a video camera.

The control system 206 is for controlling the operation of the smart vehicle 001 and its components. The control system 206 may include various elements including a steering system 232, a throttle 234, a braking unit 236, a sensor fusion algorithm 238, a computer vision system 240, a route control system 242, and an obstacle avoidance system 244.

The steering system 232 is operable to adjust the heading of the smart vehicle 001. For example, in one embodiment, a steering wheel system.

The throttle 234 is used to control the operating speed of the engine 218 and thus the speed of the smart vehicle 001.

The brake unit 236 is used for controlling the smart vehicle 001 to decelerate. The brake unit 236 may use friction to slow the wheel 221. In other embodiments, the brake unit 236 may convert the kinetic energy of the wheel 221 into an electrical current. The brake unit 236 may also take other forms to slow the rotational speed of the wheel 221 to control the speed of the smart vehicle 001.

The computer vision system 240 may be operable to process and analyze images captured by the camera 230 in order to identify objects and/or features in the environment surrounding the smart vehicle 001. The objects and/or features may include traffic signals, road boundaries, and obstacles. The computer vision system 240 may use object recognition algorithms, motion from motion (SFM) algorithms, video tracking, and other computer vision techniques. In some embodiments, the computer vision system 240 may be used to map an environment, track objects, estimate the speed of objects, and so forth.

The route control system 242 is used to determine the travel route of the smart vehicle 001. In some embodiments, the route control system 242 may combine data from the sensors 238, the GPS 222, and one or more predetermined maps to determine a travel route for the smart vehicle 001.

The obstacle avoidance system 244 is used to identify, assess and avoid or otherwise negotiate potential obstacles in the environment of the smart vehicle 001.

Of course, in one example, the control system 206 may additionally or alternatively include components other than those shown and described. Or may reduce some of the components shown above.

The smart vehicle 001 interacts with external sensors, other vehicles, other computer systems, or users through the peripherals 208. Peripheral devices 208 may include a wireless communication system 246, an in-vehicle computer 248, a microphone 250, and/or a speaker 252.

In some embodiments, the peripheral device 208 provides a means for a user of the smart vehicle 001 to interact with the user interface 216. For example, the onboard computer 248 may provide information to the user of the smart vehicle 001. The user interface 216 may also operate the in-vehicle computer 248 to receive user input. The in-vehicle computer 248 can be operated through a touch screen. In other cases, the peripheral devices 208 may provide a means for the smart vehicle 001 to communicate with other devices located within the vehicle.

The microphone 250 may receive audio (e.g., voice commands or other audio input) from a user of the smart vehicle 001. The microphone 250 can also collect noise generated when various devices in the intelligent vehicle 001 work.

The speaker 252 may output various required sound wave signals to the smart vehicle 001. In the present embodiment, the speaker 252 corresponds to a secondary source, an electroacoustic transducer that can convert an electrical signal into an acoustic signal.

For example, in the present embodiment, the microphone 250 may include a reference microphone and an error microphone. Wherein the reference microphone is for: the method includes the steps of collecting a first noise signal at least one air conditioner air outlet corresponding to the target vehicle, and sending the first noise signal to the processor 213. The error microphone is used for: noise signals of the periphery of a seat where the error microphone is located in a plurality of seats in the smart vehicle 001 are collected and sent to the processor 213, wherein the error microphone is located in a backrest region of the seat in the smart vehicle 001. For a specific implementation of the microphone operation in the intelligent vehicle 001, reference may be made to the following detailed description of the system and method embodiments, which is not repeated herein.

For example: the processor 213 may send the calculated control signal to the speaker 252, wherein the speaker 252 may be configured to: and respectively controlling the sound energy of the noise monitored by the corresponding error microphone based on the control signal so as to reduce the noise in the intelligent vehicle 001. Specifically, how the processor 213 and the speaker 252 control the amount of acoustic energy of noise in the smart vehicle may refer to the detailed description of the following system and method embodiments, which are not repeated herein.

The wireless communication system 246 may communicate wirelessly with one or more devices, either directly or via a communication network. For example, the wireless communication system 246 may use cellular communications such as: code Division Multiple Access (CDMA), evolution-data optimized (EVDO), global system for mobile communications (GSM)/General Packet Radio Service (GPRS), or cellular communication, such as Long Term Evolution (LTE). Or 5G cellular communication. The wireless communication system 246 may communicate with a Wireless Local Area Network (WLAN) using WiFi. In some embodiments, the wireless communication system 246 may communicate directly with the device using an infrared link, bluetooth, or ZigBee. Other wireless protocols, such as: various vehicular communication systems, for example, the wireless communication system 246 may include one or more Dedicated Short Range Communications (DSRC) devices that may include public and/or private data communications between vehicles and/or roadside stations. For example: in the embodiment of the present application, the noise signal collected by the microphone 250 can be transmitted to the processor 213 through a wireless communication system.

The power supply 210 may provide power to various components of the smart vehicle 001. In one embodiment, power source 210 may be a rechargeable lithium ion or lead acid battery. One or more battery packs of such batteries may be configured as a power source to provide power to the various components of the smart vehicle 001. In some embodiments, the power source 210 and the energy source 219 may be implemented together, such as in some all-electric vehicles.

Some or all of the functionality of the smart vehicle 001 is controlled by the computer system 212. The computer system 212 may include at least one processor 213, the processor 213 executing instructions 215 stored in a non-transitory computer readable medium, such as the memory 214. The computer system 212 may also be a plurality of computing devices that control individual components or subsystems of the smart vehicle 001 in a distributed manner.

The processor 213 may be any conventional processor, such as a commercially available Central Processing Unit (CPU). Alternatively, the processor may be a dedicated device such as an Application Specific Integrated Circuit (ASIC) or other hardware-based processor. Although fig. 1 functionally illustrates a processor, memory, and other elements of a computer in the same block, those skilled in the art will appreciate that the processor, or memory, may actually comprise multiple processors, or memories, which may or may not be stored within the same physical housing. For example, the memory may be a hard drive or other storage medium located in a different enclosure than the computer. Thus, references to a processor or computer are to be understood as including references to a collection of processors or computers or memories which may or may not operate in parallel. Rather than using a single processor to perform the steps described herein, some components, such as the steering component and the retarding component, may each have their own processor that performs only computations related to the component-specific functions.

In various aspects described herein, the processor 213 may be located remotely from the vehicle and in wireless communication with the vehicle. In other aspects, some of the processes described herein are executed on a processor disposed within the vehicle and others are executed by a remote processor, including taking the steps necessary to perform a single maneuver.

In the embodiment of the present application, the processor 213 is configured to calculate the control signal by an adaptive filtering algorithm based on the received first noise signal and the second noise signal; and sending the control signal to the secondary source. For specific implementation of the strategy and a specific calculation manner of the first noise signal and the second noise signal received by the processor 213, reference may be made to the following description of the system and method embodiments, which is not repeated herein.

In some embodiments, the memory 214 may contain instructions 215 (e.g., program logic), the instructions 215 being executable by the processor 213 to perform various functions of the smart vehicle 001, including those described above. Memory 214 may also contain additional instructions, including instructions to send data to, receive data from, interact with, and/or control one or more of propulsion system 202, sensor system 204, control system 206, and peripheral devices 208.

In addition to instructions 215, memory 214 may store data in embodiments of the present application, such as: noise signals, air conditioning system operating conditions and other such vehicle data, and other information. Such information may be used by the smart vehicle 001 and the computer system 212 during operation of the smart vehicle 001 in automotive air conditioning noise control.

A user interface 216 for providing information to or receiving information from a user of the smart vehicle 001. Optionally, the user interface 216 may include one or more input/output devices within the collection of peripheral devices 208, such as a wireless communication system 246, an in-vehicle computer 248, a microphone 250, and a speaker 252.

The computer system 212 may control the functions of the smart vehicle 001 based on inputs received from various subsystems (e.g., the travel system 202, the sensor system 204, and the control system 206) and from the user interface 216. For example, the computer system 212 may utilize input from the control system 206 to control the steering unit 232 to avoid obstacles detected by the sensor system 204 and the obstacle avoidance system 244. In some embodiments, the computer system 212 is operable to provide control over many aspects of the smart vehicle 001 and its subsystems.

Optionally, one or more of these components described above may be installed or associated separately from the smart vehicle 001. For example, the memory 214 may exist partially or completely separate from the smart vehicle 001. The above components may be communicatively coupled together in a wired and/or wireless manner.

Optionally, the above components are only an example, in an actual application, components in the above modules may be added or deleted according to an actual need, and fig. 1 should not be construed as limiting the embodiment of the present application.

An autonomous vehicle traveling on a road, such as the smart vehicle 001 above, may recognize whether the air conditioning mode is on, and the magnitude of its in-vehicle noise to determine the adjustment to the current in-vehicle noise. In some examples, each identified air conditioner outlet in operation may be considered independently, and based on characteristics of the seat perimeter noise, such as its current frequency, phase, magnitude, etc., may be used to determine a control signal magnitude to be adjusted by the vehicle in controlling the noise in the vehicle.

Optionally, the smart vehicle 001 or a computing device associated with the smart vehicle 001 (e.g., computer system 212, computer vision system 240, memory 214 of fig. 1) may predict behavior of the identified object based on characteristics of the identified object and the state of the surrounding environment (e.g., today or dynamic objects in a parking lot, etc.). Optionally, each identified object depends on the behavior of each other, so it is also possible to predict the behavior of a single identified object taking all identified objects together into account. The smart vehicle 001 is able to adjust its speed based on the predicted behaviour of said identified object. In other words, the autonomous vehicle is able to determine what steady state the vehicle will need to adjust to (e.g., accelerate, decelerate, or stop) based on the predicted behavior of the object. In this process, other factors may also be considered to determine the speed of the smart vehicle 001, such as the lateral position of the smart vehicle 001 in the road on which it is traveling, the curvature of the road, the proximity of static and dynamic objects, and so forth.

In addition to providing instructions to adjust the speed of the autonomous vehicle, the computing device may also provide instructions to modify the steering angle of the smart vehicle 001 to cause the autonomous vehicle to follow a given trajectory and/or maintain a safe lateral and longitudinal distance from objects in the vicinity of the autonomous vehicle (e.g., cars in adjacent lanes on a road).

The smart vehicle 001 may be any vehicle or other transportation means having an air outlet with an air outlet, such as a car, a truck, a motorcycle, a bus, a boat, an airplane, a helicopter, an amusement car, a playground vehicle, a construction equipment, a trolley, a golf cart, a train, and a trolley, and the embodiment of the present invention is not particularly limited.

It is understood that the smart vehicle function diagram in fig. 1 is only an exemplary implementation manner in the embodiment of the present application, and the smart vehicle in the embodiment of the present application includes, but is not limited to, the above structure.

Referring to fig. 2, fig. 2 is a schematic structural diagram of a computing device in a noise control system of an automotive air conditioner according to an embodiment of the present application, and the computing device is applied to fig. 1, which is equivalent to the computer system 212 shown in fig. 1, and may include a processor 203, where the processor 203 is coupled to a system bus 205. Processor 203 may be one or more processors, each of which may include one or more processor cores, corresponding to processor 213 shown in FIG. 1 and described above. A memory 235 may store associated data information, the memory 235 being coupled to the system bus 205 and corresponding to the memory 214 described above in connection with fig. 1. A display adapter (video adapter)207, the display adapter 207 may drive a display 209, the display 209 coupled with the system bus 205. System bus 205 is coupled to an input/output (I/O) bus 213 through a bus bridge 201. The I/O interface 215 is coupled to an I/O bus. The I/O interface 215 communicates with various I/O devices, such as an input device 217 (e.g., keyboard, mouse, touch screen, etc.), a multimedia disk 221 (e.g., compact disk read-only memory (CD-ROM), multimedia interface, etc.). A transceiver 223 (which can send and/or receive radio communication signals), a camera 255 (which can capture field and motion digital video images), and an external Universal Serial Bus (USB) interface 225. Wherein, optionally, the interface connected with the I/O interface 215 may be a USB interface.

The processor 203 may be any conventional processor, including a Reduced Instruction Set Computing (RISC) processor, a Complex Instruction Set Computing (CISC) processor, or a combination thereof. Alternatively, the processor may be a dedicated device such as an application specific integrated circuit, ASIC. Alternatively, the processor 203 may be a neural network processor or a combination of a neural network processor and a conventional processor as described above. For example: the processor 203 may receive the first noise signal and the second noise signal; calculating a control signal by an adaptive filtering algorithm based on the first noise signal and the second noise signal; and sending the control signal to the secondary source.

The computer system 212 may communicate with a software deploying server (deploying server)249 via a network interface 229. The network interface 229 is a hardware network interface, such as a network card. The network 227 may be an external network, such as the internet, or an internal network, such as an ethernet or a Virtual Private Network (VPN). Optionally, the network 227 may also be a wireless network, such as a WiFi network, a cellular network, and the like.

The transceiver 223 (which can transmit and/or receive radio communication signals) may be implemented by various wireless communication methods such as, but not limited to, a second generation (2G) mobile communication network, a third generation (3G) mobile communication network, a fourth generation (4G) mobile communication network, and a fifth generation (5G) mobile communication network, and may also be implemented by technologies such as Dedicated Short Range Communications (DSRC), long term evolution-vehicle (LTE-V), and the transceiver mainly functions to receive information data transmitted by an external device and transmit the information data to the external device for storage and analysis when the vehicle travels in a target road segment.

Hard drive interface 231 is coupled to system bus 205. The hardware drive interface 231 is connected to the hard disk drive 233. System memory 235 is coupled to system bus 205. The data running in system memory 235 may include an operating system OS 237 and application programs 243 of computer system 212.

A memory 235 is coupled to the system bus 205. For example, the memory 235 may be configured to store the noise signal and the second noise signal in a format in the memory.

The operating system includes a shell 239 and a kernel 241. The shell 239 is an interface between the user and the kernel of the operating system. The shell is the outermost layer of the operating system. The shell manages the interaction between users and the operating system: waiting for user input; interpreting the user's input to the operating system; and process the output results of a wide variety of operating systems.

Kernel 241 is comprised of those portions of the operating system that are used to manage memory, files, peripherals, and system resources. Interacting directly with the hardware, the operating system kernel typically runs processes and provides inter-process communication, CPU slot management, interrupts, memory management, I/O management, and so forth.

The application programs 243 include programs related to noise control of the vehicle air conditioner, such as a program for managing noise collection of the error microphone and the reference microphone, a program for controlling interaction between the error microphone and the reference microphone and the processor, and a program for controlling the processor to calculate a control signal. Application programs 243 also exist on the system of software deploying server 249. In one embodiment, the computer system 212 may download the application 243 from the software deploying server 249 when the noise control related program 247 needs to be executed. For example: the application 243 can enable the processor to calculate the control signal of the secondary source according to the noise levels fed back by the error microphone and the reference microphone, so that the secondary source can output the sound wave signal which is out of phase with the same frequency of the noise collected by the corresponding error microphone based on the control signal by utilizing the sound wave destructiveness, active noise control is realized on the noise near the seat, the noise in the vehicle is further greatly restrained, and the problem that the noise reduction effect of the air conditioner in the vehicle is limited by using the existing passive noise control method is effectively solved.

The sensor 253 is associated with the computer system 212. The sensors 253 are used to detect the environment surrounding the computer system 212. For example, the sensor 253 can detect animals, cars, obstacles, crosswalks, etc., and further the sensor can detect the environment around the objects such as the animals, cars, obstacles, crosswalks, etc., such as: the environment surrounding the animal, e.g., other animals present around the animal, weather conditions, brightness of the surrounding environment, etc. Alternatively, if the computer system 212 is located on a vehicle in a vehicle air conditioner noise control system, the sensors may be cameras, infrared sensors, chemical detectors, reference microphones, error microphones, secondary sources, etc.

It is understood that the structure of the vehicle air conditioner noise control device in fig. 2 is only an exemplary implementation manner in the embodiment of the present application, and the structure of the vehicle air conditioner noise control device applied to the smart vehicle in the embodiment of the present application includes, but is not limited to, the above structure.

Based on the intelligent vehicle provided in fig. 1 and the structure of a part of devices in the intelligent vehicle provided in fig. 2, in combination with the method for controlling noise of an automobile air conditioner provided in the present application, an embodiment of the present application provides an automobile air conditioner noise control system adapted to the intelligent vehicle 001. Referring to fig. 3, fig. 3 is a schematic diagram of a noise control system for an automotive air conditioner according to an embodiment of the present disclosure.

As shown in fig. 3, the car air-conditioning noise control system comprises M reference microphones 01, N error microphones 02 and Q secondary sources 03, wherein the N error microphones 02 are respectively located in the backrest regions of K seats in the target vehicle, M, N, Q, K are respectively positive integers, and optionally, the car air-conditioning noise control system further comprises a processor 04.

It can be understood that the reference microphone and the error microphone may be regarded as the same microphone, but the reference microphone is used to collect noise at the air outlet of the air conditioner, and the error microphone is used to collect noise at the seat where the error microphone is located, where the reference microphone and the error microphone respectively have specific functions and differences therebetween, and the following embodiments may also be correspondingly referred to, and the embodiments of the present application are not repeated herein.

It is further understood that the processor 04 may be the processor 213 shown in FIG. 1 and the processor 203 shown in FIG. 2; the error microphone 02 and the reference microphone 01 belong to the microphone 250 shown in fig. 1 described above; the secondary source 03 may be the speaker 252 of fig. 1 described above. Wherein:

the reference microphone 01 is used for: the method comprises the steps of collecting a first noise signal at least one corresponding air conditioner air outlet in a target vehicle, and sending the first noise signal to a processor 04, wherein a reference microphone 01 can be any one of M reference microphones 01. Each reference microphone 01 of the M reference microphones 01 may be configured to collect a first noise signal at an air outlet of the corresponding air conditioner in the smart vehicle. The number of the air-conditioning air outlets can be larger than or equal to M, so that each reference microphone 01 can at least collect a noise signal at one air-conditioning air outlet. The number of the air-conditioning air outlets can be smaller than M and larger than 0, so that at least one reference microphone 01 can be arranged at each air-conditioning air outlet to collect noise signals, and the collected noise signals at the air-conditioning air outlets are more accurate. Therefore, the number of the air outlets of the air conditioner is not particularly limited in the embodiment of the application.

Optionally, the M reference microphones are respectively located outside the corresponding pipelines of the at least one air-conditioning outlet and within a preset distance range of the at least one air-conditioning outlet. Referring to fig. 4, fig. 4 is a schematic diagram of a position relationship between a reference microphone 01 and an air-conditioning outlet according to an embodiment of the present application, and as shown in (1) of fig. 4, two reference microphones 01 may be placed outside a duct of an air-conditioning outlet and be close to the air-conditioning outlet, so that two reference microphones 01 can simultaneously collect a large noise signal at the air-conditioning outlet. As shown in (2) of fig. 4, a reference microphone 01 may be placed between the two air-conditioning outlets, so as to conveniently collect noise signals of the two air-conditioning outlets. Therefore, the reference microphone 01 is arranged outside the pipeline of the air outlet of the air conditioner, so that the pipeline of the air outlet of the air conditioner can be ensured, and the hardware of the reference microphone 01 cannot obstruct the flow of air flow, thereby generating extra noise. Moreover, because the reference microphone 01 is arranged outside the pipeline, one reference microphone can effectively collect noises at a plurality of air conditioner air outlets close to each other, and hardware cost is greatly saved.

Optionally, the M reference microphones may be respectively located in the corresponding ducts of the at least one air-conditioning outlet. It can be understood that the reference microphone 01 can be placed in the duct of the air-conditioning outlet, wherein the noise signal at the air-conditioning outlet is determined according to the collected noise signal in the duct corresponding to the air-conditioning outlet, thereby avoiding the damage of the reference microphone caused by the excessive action amplitude of the passenger, and not destroying the aesthetic feeling of the interior decoration of the vehicle on which the reference microphone is installed.

Optionally, each of the M reference microphones corresponds to one air conditioner outlet, and each of the M reference microphones corresponds to at least two error microphones. Referring to fig. 5, fig. 5 is a schematic diagram illustrating a correspondence relationship between reference microphones 01 and error microphones 02 according to an embodiment of the present application, where as shown in fig. 5, each reference microphone 01 corresponds to at least two error microphones 02, and each reference microphone 01 corresponds to an air outlet of an air conditioner. That is, each reference microphone 01 collects noise at one air outlet of the air conditioner, corresponding to noise collected by the two error microphones 02 around the seat. It should be noted that, as shown by the dashed lines, the M reference microphones 01 may correspond to the two error microphones 02 together. Therefore, when each reference microphone 01 collects a noise signal of an air conditioner outlet, and each reference microphone 01 at least corresponds to two error microphones 02 to collect noise signals around the seat, the two error microphones 02 can be located in the backrest area of the same seat or the backrest areas of different seats, so that the air conditioner noise in the automobile can be effectively and accurately reduced.

The error microphone 02 is used for: a second noise signal is collected around a seat where the error microphone 02 is located among the K seats, and the second noise signal is transmitted to the processor 04, where the error microphone 02 is any one of the N error microphones 02, and N, K are positive integers, respectively. Note that the N error microphones 02 are respectively located in the backrest regions of the K seats in the smart vehicle, that is, the error microphones 02 are mounted to the backrest regions of the seats, so that the noise around the seats can be collected at a close distance. Such as: the noise around the human ear can be measured at close range.

In one possible implementation, the N error microphones are respectively located at the heads of the backrest regions of the K seats. Since the noise control system for an automobile air conditioner is to improve the effect of reducing noise at the human ear, the error microphones 02 may be respectively mounted to the heads of the backrest regions of the above-mentioned K seats in the vehicle. Referring to fig. 6, fig. 6 is a schematic diagram illustrating a positional relationship between an error microphone 02 and a seat in an intelligent vehicle according to an embodiment of the present application. As shown in (1) in fig. 6, the error microphone 02 may be located at the head of the backrest region of the seat. It is to be understood that the head of the backrest region refers to a region of the seat backrest for supporting the head or neck of the passenger, which is not specifically limited by the embodiments of the present application. It is also understood that if the seat in the smart vehicle does not have an area for supporting the head or neck of the passenger, the head of the backrest area of the seat in the embodiment of the present application may correspond to the top end of the backrest area of the seat, for example, as shown in (2) in fig. 6, the error microphone 02 is located at the top end of the backrest area of the seat. Therefore, the error microphone 02 is arranged at the head of the backrest region, so that the noise of the ear of the person can be collected by the error microphone 02 at a short distance, and the processor 04 can accurately control the secondary source 03 to output the sound wave signal with the same frequency and different phases with the noise.

Optionally, the reference microphone 01 is specifically configured to: when an air conditioner opening signal of a target air conditioner air outlet is received, collecting the first noise signal at the at least one air conditioner air outlet, and sending the first noise signal to the processor 04; the error microphone 02 is specifically configured to: when the air conditioner on signal is received, a second noise signal around the seat where the error microphone 02 is located among the K seats is collected, and the second noise signal is sent to the processor 04. It can be understood that the noise control system of the air conditioner of the vehicle does not work when the air conditioner is turned off, and the noise control system of the air conditioner of the vehicle starts to work after the air conditioner is detected to be turned on. Greatly saves the resources in the automobile and prolongs the working time of the noise control system of the automobile air conditioner.

The secondary source 03 is used for: based on the first noise signal and the second noise signal, the sound energy of the noise monitored by the corresponding error microphone 02 is controlled, where the secondary source 03 is any one of Q secondary sources 03, and Q is a positive integer. It can be understood that, since the secondary source 03 controls the amount of acoustic energy of the noise monitored by the error microphone 02 to perform active noise control on the noise near the seat, in order to improve the effect of the active noise control, the secondary source 03 may also be generally disposed in the backrest region of the seat, corresponding to the error microphone 02. For example: the secondary source 03 is positioned within a predetermined distance of the periphery of the error microphone 02.

Optionally, the processor 04 is configured to: receiving the first noise signal and the second noise signal; calculating a control signal based on the first noise signal and the second noise signal; and sending the control signal to the secondary source 03, so that the secondary source 03 respectively controls the sound energy of the noise monitored by the corresponding error microphone based on the control signal. Wherein the processor 04 may calculate the control signal by an adaptive filtering algorithm. The processor 04 can calculate the control signal of the secondary source 03 according to the noise signals fed back by the error microphone 02 and the reference microphone 01, so that the secondary source 03 can output the sound wave signals with the same frequency and different phases with the noise collected by the corresponding error microphone 02 based on the control signal by utilizing the sound wave destructiveness, active noise control is realized on the noise near the seat, and the noise in the vehicle can be greatly suppressed.

In one possible implementation, the Q secondary sources are respectively located at the heads of the backrest regions of the K seats. Because the error microphone in the noise control system of the automobile air conditioner is used for collecting the noise signals around the seat where the error microphone is positioned in the K seats, the secondary source can output the sound wave signals corresponding to the noise signals so as to control the noise energy. Referring to fig. 7, fig. 7 is a schematic diagram illustrating a positional relationship between a secondary source 03 and a seat in an intelligent vehicle according to an embodiment of the present disclosure. As shown in fig. 7 (1), two secondary sources 03 may correspond to the error microphone 02 and be located at both sides of the head of the backrest region of the seat. The secondary source 03 may also be within a preset distance range from the error microphone 02, as shown in fig. 7 (2), the secondary source 03 being located at the top of the backrest region of the seat and corresponding to the error microphone 02. Therefore, the secondary source 03 is arranged at the head of the backrest region which is closer to the human ear, so that when the secondary source 03 outputs signals, the noise at the human ear cannot be counteracted because of too far distance.

In one possible implementation, the secondary source 03 is an electroacoustic transducer that converts an electrical signal into an acoustic signal. The present application does not specifically limit the specific hardware form of the secondary source 03, corresponding to the speaker in the present application, for example: the secondary source 03 may also be a microphone, a sound generator, a sound, etc. In the process of actively controlling the noise signal, the secondary source 03 may convert the control signal calculated by the processor 04 into a sound wave signal with the same frequency and phase (e.g., the same frequency and phase are opposite) as those of the second noise signal collected by the error microphone 02, so as to cancel the noise in the vehicle and reduce the sound energy of the noise signal.

In one possible implementation, 2a × K equals N to Q, and N and Q are even numbers greater than or equal to 2, a being a positive integer, x representing multiplication. Wherein, each seat in the above-mentioned K seats corresponds to at least 2 error microphones 02 and at least 2 secondary sources 03 respectively. Each seat corresponds to at least 2 error microphones 02 and at least 2 secondary sources 03 respectively, so that noise signals in the vehicle can be reduced more efficiently and accurately.

In one possible implementation, N is equal to Q, wherein the N error microphones 02 correspond to the Q secondary sources 03 one to one. Each error microphone 02 can correspond to one secondary source 03, so that the noise signal collected by each error microphone 02 can be controlled by the secondary source 03 to control the sound energy, and further, the noise signal in the vehicle can be effectively reduced.

In a possible implementation manner, the N error microphones 02 include a first type error microphone 02 and a second type error microphone 02, where the first type error microphone 02 is used for acquiring a noise signal at the left ear of the user, and the second type error microphone 02 is used for acquiring a noise signal at the right ear of the user; the Q secondary sources 03 include a first type of secondary source 03 and a second type of secondary source 03, where the first type of secondary source 03 is configured to control the sound energy of the noise monitored by the first type of error microphone 02 based on the control signal, so as to reduce the sound energy at the left ear of the user; the second secondary source 03 is configured to control the sound energy of the noise monitored by the second error microphone 02 based on the control signal, so as to reduce the sound energy at the right ear of the user. For noise signals in a more accurate control vehicle, the error microphone 02 and the secondary source 03 are divided into two types, and noise signals at the left ear and the right ear of a user are respectively collected and controlled, so that the noise control effect is optimized, and the user experience is improved.

It is understood that the vehicle air conditioner noise control system architecture of fig. 3 is only a partial exemplary implementation manner in the embodiment of the present application, and the vehicle air conditioner noise control system architecture in the embodiment of the present application includes, but is not limited to, the above vehicle air conditioner noise control system architecture.

It should be further understood that fig. 3 only shows an error microphone and a secondary source on a seat in the architecture of the noise control system for an air conditioner of an automobile, and also shows a reference microphone corresponding to an air conditioner outlet, and actually, a plurality of error microphones and secondary sources, a plurality of air conditioner outlets, and at least one reference microphone corresponding thereto may be included in the smart vehicle 001, which is not specifically limited in this embodiment of the present application.

Based on the structure of the intelligent vehicle provided in fig. 1 and the architecture of the vehicle air conditioner noise control system provided in fig. 3, the technical problems provided in the present application are specifically analyzed and solved in combination with the vehicle air conditioner noise control method provided in the present application.

Referring to fig. 8, fig. 8 is a flow chart illustrating a method for controlling noise of an automotive air conditioner according to an embodiment of the present application, where the method is applicable to the architecture of the automotive air conditioner noise control system in fig. 3, and will be described below with reference to fig. 8 from an interaction side among various devices in the automotive air conditioner noise control system. The method may comprise the following steps S301-S308.

Step S301: and judging whether the air conditioning system works.

Specifically, the intelligent vehicle may determine whether the air conditioning system is operating through the processor. For example, the intelligent vehicle can receive an opening instruction of the passenger to the air conditioning system, and control the air conditioner to be started according to the opening instruction. Therefore, the intelligent vehicle can judge that the air conditioning system in the intelligent vehicle is in the working state through whether the processor receives the opening instruction of the user.

Optionally, the intelligent vehicle may detect an operation mode of the air conditioner through the processor, where the operation mode includes: defrosting, blowing cold air, blowing natural air, blowing warm air, blowing flour, blowing feet and the like. It can be understood that with the continuous development of vehicle guidance technology, the working mode of the vehicle-mounted air conditioner is enriched day by day, and the vehicle-mounted air conditioner has different working modes in different vehicles. The intelligent vehicle may determine an operating mode of the air conditioner through the processor.

Step S302: and if the air conditioning system is in a working state, determining an air conditioning outlet in the target vehicle in the working state.

Specifically, if the air conditioning system is in a working state, the intelligent vehicle may determine that the air conditioning outlet is in a working state in the vehicle. It can be understood that there are a plurality of air-conditioning outlets of the air-conditioning system in the intelligent vehicle, for example: different air-conditioning outlet corresponds different seats respectively, and different air-conditioning outlet corresponds different mode respectively, and different air-conditioning outlet corresponds different angles of blowing respectively.

Step S303: and collecting a first noise signal at the corresponding at least one air conditioner air outlet in the target vehicle through the reference microphone.

Specifically, the intelligent vehicle may acquire, by using a reference microphone, a first noise signal at least one air-conditioning air outlet corresponding to the intelligent vehicle, where the reference microphone is any one of the M reference microphones. The reference microphones may be configured to collect noise signals at corresponding air conditioner air outlets, that is, each of the M reference microphones corresponds to at least one air conditioner air outlet, and it can be understood that one air conditioner air outlet may also correspond to a plurality of reference microphones. The intelligent vehicle is equivalent to the target vehicle mentioned in the embodiment of the application.

Optionally, when an air conditioner opening signal of a target air conditioner outlet is received, the intelligent vehicle may collect the first noise signal at the at least one air conditioner outlet through a reference microphone, where the target air conditioner outlet is a part or all of the at least one air conditioner outlet.

Optionally, the M reference microphones are respectively located outside the corresponding pipelines of the at least one air-conditioning outlet and within a preset distance range of the at least one air-conditioning outlet. That is, it is understood that the reference microphone may be located outside the duct of the air outlet so as not to obstruct the flow of air inside the duct.

Optionally, the M reference microphones are respectively located in the corresponding ducts of the at least one air-conditioning outlet, that is, it can be understood that the probability of the reference microphones being artificially damaged can be greatly reduced when the reference microphones are placed in the ducts.

Optionally, each of the M reference microphones corresponds to one air conditioner outlet, and each of the M reference microphones corresponds to at least two error microphones.

Step S304: and acquiring second noise signals of the peripheries of the seats where the error microphones are positioned in the K seats by the error microphones.

Specifically, the smart vehicle may acquire, by an error microphone, a second noise signal around a seat of the K seats where the error microphone is located, where the error microphone is any one of the N error microphones. The error microphones may be configured to collect noise signals at corresponding seats, that is, each error microphone of the N error microphones corresponds to at least one seat, and it can be understood that one seat may also correspond to a plurality of error microphones.

Optionally, each of the K seats corresponds to at least 2 error microphones and at least 2 secondary sources.

Step S305: the first noise signal and the second noise signal are received by a processor.

Specifically, the smart vehicle may receive a first noise signal and a second noise signal via a processor. After the reference microphone and the error microphone collect noise signals, the noise signals are converted into electric signals to be sent to the processor, and then the next operation is carried out.

Alternatively, the reference microphone may send the first noise signal to the processor and the error microphone may send the second noise signal to the processor.

Step S306: a control signal is calculated by a processor based on the first noise signal and the second noise signal.

Specifically, the smart vehicle may calculate a control signal based on the first noise signal and the second noise signal through the processor, where the control signal may be used for a secondary source to control the amount of sound energy of the noise monitored by the error microphone. For example: the intelligent vehicle may calculate the control signal through an adaptive filtering algorithm via the processor.

Referring to fig. 9, fig. 9 is a schematic diagram of a noise control flow of an automotive air conditioner based on an adaptive filtering algorithm according to an embodiment of the present application. As shown in fig. 9:

1. the intelligent vehicle firstly judges whether the air conditioner works. When the air conditioner is closed, the active noise control system does not work, and when the air conditioner is detected to be opened, the active noise control system starts to work.

2. The intelligent vehicle detects the air conditioner working mode.

3. M noise sources u (less than or equal to) collected by a reference microphone corresponding to each air outlet in working according to the working mode of the air conditioner₁(n),u₂(n),…,u_M(n) and the error microphone signal e (n) to a processor, wherein u₁And (n) represents that the noise signal of the noise source is collected by the first reference microphone at the time of n, and e (n) represents that the noise signal of the noise source is collected by the error microphone at the time of n.

4. Processor using multi-channel coupling adaptive minimum root mean squareThe value (LMS) algorithm is used for controlling, and the coefficient of the obtained control is h_opt。

5. The processor outputs a control signal c (n) ═ uh_optTo the secondary source such that the secondary source output signal cancels out the air conditioning noise.

6. And (5) repeating the steps 2-4 until an air conditioner closing signal is detected, and stopping the work of the automobile air conditioner noise control system. The noise control system of the automobile air conditioner enters a standby state to wait for the input of an air conditioner starting signal.

An adaptive Least Mean Square (LMS) algorithm (corresponding to one of the adaptive filtering algorithms in the embodiments of the present application) is implemented as follows:

the target signal d (n) is generated by M noise sources (equivalent to the first noise signals respectively collected by the M reference microphones) u₁(n),u₂(n),…,u_MLinear superposition of (n). For a signal processing system (applied to a processor) in a noise control system of an automobile air conditioner, m filters { h } are designed₁(i),h₂(i),…,h_M(i) I is 0,1,2, …, I-1, and the signal at the air outlet of the air conditioner is used as a reference signal for filtering, and the residual signal can be expressed as:

in the formula (A4.1), e (n) is a residual signal, h_m(i) For the ith coefficient of the mth filter, I is the filter order, and the above equation is written in matrix form:

e(n)＝d(n)+u^Th，(A4.2)

u in formula (A4.2)^T(i)＝[u₁(n-i),u₂(n-i),…,u_M(n-i)],u^T＝[u^T(0),u^T(1),…,u^T(I–1)],h(i)＝[h₁(i),h₂(i),…,h_M(i)]^T,h＝[h(0),h(1),…,h(I–1)]^T。

The cost function is defined as:

J＝E[e²(n)]，(A4.3)

in the formula (A4.3), E [ ] represents a mathematical expectation, and the formula (A4.2) is substituted for the formula (A4.3) to obtain:

J＝h^TE[uu^T]h+2hE[u^Td(n)]+E[d²(n)]，(A4.4)

the formula (A4.4) is a quadratic function, so that the cost function has a minimum value, and the optimal filter coefficient is h when the cost function takes the minimum value_opt＝-{E[uu^T]}^-1{E[u^Td(n)]}。

Thus, the control signal is c (n) ═ uh_opt。

Step S307: a control signal is sent to the secondary source.

In particular, the smart vehicle may send a control signal to the secondary source, where the control signal may be used to control the amount of acoustic energy of the noise. For example: the processor sends the control signal c (n) uh_optTo the secondary source such that the secondary source output signal cancels out the air conditioning noise.

Optionally, the control signal includes a control coefficient corresponding to the secondary source, and the control coefficient is used to adjust the frequency and the phase of the sound wave output by the secondary source.

Optionally, the secondary source is an electroacoustic transducer converting an electrical signal into an acoustic signal.

Optionally, the N error microphones are in one-to-one correspondence with the Q secondary sources. That is, the number of error microphones is the same as the number of secondary sources, and each error microphone corresponds to one secondary source.

Step S308: and respectively controlling the sound energy of the noise monitored by the corresponding error microphone through the secondary source based on the control signal.

Specifically, the smart vehicle may respectively control the sound energy of the noise monitored by the corresponding error microphone through the secondary source based on the control signal, so as to reduce the sound energy of the noise monitored by the error microphone. The secondary source outputs a sound wave signal by utilizing a sound wave destructive principle to counteract the noise monitored by the error microphone, so that the sound energy of the noise monitored by the error microphone is reduced.

Optionally, the intelligent vehicle may control the sound energy of the noise monitored by the corresponding error microphone through a secondary source based on the first noise signal and the second noise information.

Optionally, the N error microphones include a first type of error microphone and a second type of error microphone, where the first type of error microphone is configured to acquire a noise signal at a left ear of the user, and the second type of error microphone is configured to acquire a noise signal at a right ear of the user; the Q secondary sources comprise a first type of secondary source and a second type of secondary source, and the first type of secondary source is used for controlling the sound energy of the noise monitored by the first type of error microphone based on the control signal so as to reduce the sound energy at the left ear of the user; the second type secondary source is used for controlling the sound energy of the noise monitored by the second type error microphone based on the control signal so as to reduce the sound energy at the right ear of the user.

According to the method for controlling the noise of the automobile air conditioner, the noise level near the seat can be collected by the noise control system of the automobile air conditioner through the error microphone and fed back to the processor, the noise level near the air outlet is detected through the reference microphone and fed back to the processor, then the processor calculates the control signal of the secondary source according to the noise levels fed back by the error microphone and the reference microphone, so that the secondary source can output the sound wave signals which are in the same frequency and out of phase with the noise collected by the corresponding error microphone based on the control signal by utilizing the sound wave destructiveness, active noise control is achieved on the noise near the seat, the noise in the automobile can be greatly restrained, and the problem that the noise reduction effect of the air conditioner in the automobile is limited due to the fact that a passive noise control method is used at present is effectively solved. Secondly, active noise reduction is to actively control the position near an error microphone, and the error microphone is usually located in a pipeline or at an air outlet of an air conditioner, so that after a secondary source outputs a sound wave signal, the sound at the position of a human ear cannot be reduced. However, in the embodiment of the present application, the N error microphones are respectively located in the backrest regions of the K seats in the target vehicle, so that the problem of noise increase at the human ear during the active noise control process is avoided. In addition, because the error microphone is not required to be arranged in the pipeline, a large amount of hardware is not required to be arranged in the pipeline to prevent the smooth flow of the airflow in the pipeline, and further, extra noise caused by the blockage of the airflow flow is avoided, and the effect of reducing the noise of the air conditioner in the automobile is improved.

The method of the embodiments of the present application is explained in detail above, and the related apparatus of the embodiments of the present application is provided below.

Referring to fig. 10, fig. 10 is a schematic structural diagram of a noise control device for an automotive air conditioner according to an embodiment of the present application, and the noise control device is applied to a noise control system for an automotive air conditioner, where the noise control system for an automotive air conditioner includes: m reference microphones, N error microphones, and Q secondary sources; wherein the N error microphones are respectively located in backrest regions of K seats in the target vehicle, and M, N, Q, K are respectively positive integers; the vehicle air conditioner noise control device 10 may include a first collecting unit 101, a second collecting unit 102, a first control unit 103, and may further include a second control unit 104, wherein the detailed description of each unit is as follows.

The first acquisition unit 101 is configured to acquire a first noise signal at least one air conditioner air outlet corresponding to a target vehicle through a reference microphone, where the reference microphone is any one of M reference microphones;

a second collecting unit 102, configured to collect, by an error microphone, a second noise signal around a seat where the error microphone is located in the K seats, where the error microphone is any one of the N error microphones;

a first control unit 103, configured to control, by a secondary source, an amount of acoustic energy of noise monitored by the corresponding error microphone based on the first noise signal and the second noise signal, respectively, where the secondary source is any one of the Q secondary sources.

In one possible implementation manner, the automobile air conditioner noise control system further comprises a processor; the apparatus further comprises a second control unit 104 for, by the processor: receiving the first noise signal and the second noise signal; calculating a control signal by an adaptive filtering algorithm based on the first noise signal and the second noise signal; sending the control signal to the secondary source; the first control unit 103 is specifically configured to control, by the secondary source, the sound energy of the noise monitored by the corresponding error microphone based on the control signal.

In a possible implementation manner, the first collecting unit 101 is specifically configured to, when an air conditioner turn-on signal of a target air conditioner outlet is received, collect the first noise signal at the at least one air conditioner outlet through the reference microphone, and send the first noise signal to the processor; the second collecting unit 102 is specifically configured to collect, by the error microphone, a second noise signal around a seat where the error microphone is located among the K seats when the air conditioner on signal is received, and send the second noise signal to the processor.

In one possible implementation, the N error microphones are located at the heads of the backrest regions of the K seats, respectively.

In a possible implementation manner, each of the M reference microphones corresponds to one air conditioner outlet, and each of the M reference microphones corresponds to at least two error microphones.

In one possible implementation, 2a × K equals N to Q, and N and Q are even numbers greater than or equal to 2, a being a positive integer, which represents multiplication, wherein each of the K seats corresponds to at least 2 error microphones and at least 2 secondary sources, respectively.

In one possible implementation, N is equal to Q, where N error microphones are in one-to-one correspondence with Q secondary sources.

In one possible implementation manner, the N error microphones include a first type error microphone and a second type error microphone, the first type error microphone is used for acquiring a noise signal at the left ear of the user, and the second type error microphone is used for acquiring a noise signal at the right ear of the user; the Q secondary sources comprise a first type of secondary source and a second type of secondary source, and the first type of secondary source is used for controlling the sound energy of the noise monitored by the first type of error microphone based on the control signal so as to reduce the sound energy at the left ear of the user; the second type secondary source is used for controlling the sound energy of the noise monitored by the second type error microphone based on the control signal so as to reduce the sound energy of the right ear of the user.

The division of the plurality of units is only a logical division according to functions, and is not a limitation on the specific configuration of the vehicle air conditioner noise control device 10. In a specific implementation, some of the functional modules may be subdivided into more tiny functional modules, and some of the functional modules may be combined into one functional module, but whether the functional modules are subdivided or combined, the general process executed by the apparatus 10 in the process of controlling the noise of the air conditioner of the vehicle is the same. Generally, each unit corresponds to a respective program code (or program instruction), and when the respective program code of the units runs on the relevant hardware device, the units execute the corresponding flow to realize the corresponding functions. In addition, the functions of each unit may also be implemented by associated hardware. For example: the related functions of the first collecting unit 101 and the second collecting unit 102 can be realized by a transceiver, a transceiver circuit, a collecting module, or a sensor with a function of collecting sound signals (such as the microphone shown in fig. 1); the related functions of the first control unit 103 can be realized by an electroacoustic transducer (e.g. the loudspeaker shown in fig. 1) for sending sound wave signals; the related functions of the second control unit 104 can be realized by analog circuits or Digital circuits, wherein the Digital circuits can be Digital Signal Processors (DSPs) or Digital integrated circuit chips (FPGAs).

It should be further noted that, for the functions of each functional unit in the vehicle air conditioner noise control device 10 described in the embodiment of the present application, reference may be made to the description related to step S301 to step S308 in the method embodiment described in fig. 8, and details are not repeated here.

As shown in fig. 11, fig. 11 is a schematic structural diagram of another noise control device for an automotive air conditioner according to an embodiment of the present application, where the device 20 includes at least one processor 111, at least one memory 112, and at least one communication interface 113. In addition, the device may also include common components such as an antenna, which will not be described in detail herein.

The processor 111 may be a general purpose central processing unit CPU, a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits for controlling the execution of programs according to the above schemes.

A communication interface 113, configured to communicate with other devices or communication networks, such as an ethernet, a Radio Access Network (RAN), a core network, a Wireless Local Area Network (WLAN), a bluetooth, etc.

The memory 112 may be, but is not limited to, a read-only memory (ROM) or other type of static storage device that may store static information and instructions, a Random Access Memory (RAM) or other type of dynamic storage device that may store information and instructions, an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disk storage, optical disk storage (including compact disc, laser disc, optical disc, digital versatile disc, blu-ray disc, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. The memory may be self-contained and coupled to the processor via a bus. The memory may also be integral to the processor.

The memory 112 is used for storing application program codes for executing the above scheme, and the processor 201 is used for controlling the execution. The processor 111 is used to execute application program code stored in the memory 112.

The memory 112 stores code that may implement the vehicle air conditioner noise control method provided in fig. 8 above, such as: collecting a first noise signal at least one corresponding air conditioner air outlet in a target vehicle through a reference microphone, wherein the reference microphone is any one of M reference microphones; acquiring second noise signals of the periphery of the seat where the error microphone is located in the K seats through the error microphone, wherein the error microphone is any one of the N error microphones; sending a control signal to a secondary source; and respectively controlling the sound energy of the noise monitored by the corresponding error microphone through a secondary source based on the first noise signal and the second noise signal, wherein the secondary source is any one of Q secondary sources.

It should be noted that, for the functions of each functional unit in the vehicle air conditioner noise control device 20 described in the embodiment of the present application, reference may be made to the description related to step S301 to step S308 in the method embodiment described in fig. 8, and details are not repeated here.

An embodiment of the present application further provides an electronic device, where the electronic device includes a processor and a memory, where the memory is used to store a car air conditioner noise control program code, and the processor is used to call the car air conditioner noise control program code to execute: receiving a first noise signal and a second noise signal, wherein the first noise signal is a noise signal collected by a reference microphone at least one air conditioner air outlet corresponding to a target vehicle, and the second noise signal is a noise signal collected by an error microphone around a seat where the error microphone is located in K seats in the target vehicle, wherein the target vehicle comprises M reference microphones, N error microphones and Q secondary sources, the N error microphones are respectively located in backrest regions of the K seats in the target vehicle, the reference microphone is any one of the M reference microphones, the error microphone is any one of the N error microphones, and M, N, Q, K are respectively positive integers; calculating a control signal according to the first noise signal and the second noise signal, where the control signal is used for a secondary source to control the sound energy of the noise monitored by the corresponding error microphone, where the secondary source is any one of the Q secondary sources; and sending the control signal to the secondary source.

In one possible implementation, the target vehicle includes Q secondary sources, Q being a positive integer; the processor is used for calling the automobile air conditioner noise control program code to specifically execute: and sending the control signal to a secondary source, and controlling the sound energy of the noise monitored by the corresponding error microphone respectively through the secondary source based on the control signal, wherein the secondary source is any one of the Q secondary sources.

It should be noted that, the electronic device mentioned in the embodiment of the present application may be a server in the cloud, a processing device, or the like, or may also be a vehicle air conditioner noise control device in an intelligent vehicle, which is not specifically limited in the present application.

It should be further noted that, for functions related to the electronic device described in the embodiment of the present application, reference may be made to steps S301 to S308 in the above-mentioned method embodiment in fig. 8 and related descriptions of other embodiments, which are not described herein again.

An embodiment of the present application provides an apparatus, where the apparatus includes a processor, where the processor is configured to: receiving a first noise signal and a second noise signal, wherein the first noise signal is a noise signal collected by a reference microphone at least one air conditioner air outlet corresponding to a target vehicle, the second noise signal is a noise signal collected by an error microphone at the periphery of a seat where the error microphone is located in K seats in the target vehicle, the target vehicle comprises M reference microphones and N error microphones, the N error microphones are respectively located in backrest regions of the K seats in the target vehicle, the reference microphone is any one of the M reference microphones, the error microphone is any one of the N error microphones, and M, N, K are respectively positive integers; calculating a control signal according to the first noise signal and the second noise signal; and controlling the sound energy of the noise monitored by the N error microphones based on the control signal.

In one possible implementation, the Q secondary sources are respectively located at the heads of the backrest regions of the K seats.

In a possible implementation manner, the M reference microphones are respectively located outside the corresponding pipes of the at least one air conditioner outlet and within a preset distance range of the at least one air conditioner outlet.

In one possible implementation, 2a × K equals N to Q, and N and Q are even numbers greater than or equal to 2, and a is a positive integer and is a multiple, wherein each of the K seats corresponds to at least 2 error microphones and at least 2 secondary sources, respectively.

In one possible implementation, N is equal to Q, wherein the N error microphones are in one-to-one correspondence with the Q secondary sources.

In one possible implementation, the N error microphones include a first type of error microphone and a second type of error microphone, and the Q secondary sources include a first type of secondary source and a second type of secondary source; the processor is specifically configured to: receiving the first noise signal and the user left ear noise signal collected by the first type of error microphone, and the user right ear noise signal collected by the second type of error microphone; calculating a left ear control signal according to the first noise signal and the left ear noise signal; calculating a right ear control signal according to the first noise signal and the right ear noise signal; controlling the first-class secondary source to respectively control the sound energy of the noise monitored by the corresponding first-class error microphone based on the left ear control signal; and controlling the second type secondary source to respectively control the sound energy of the noise monitored by the corresponding second type error microphone based on the right ear control signal.

It should be noted that, the device mentioned in the embodiment of the present application may be a chip, a control device, or a processing module, etc. for controlling the air conditioning noise in the automobile, and the specific form of the device is not specifically limited in the present application.

It should be further noted that, for functions related to the apparatus described in the embodiment of the present application, reference may be made to steps S301 to S308 in the above-mentioned method embodiment in fig. 8 and related descriptions of other embodiments, which are not described herein again.

In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.

It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.

It should also be noted that the terms "first" and "second," and the like in the description and claims of the present application and in the accompanying drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.

As used in this specification, the terms "component," "module," "system," and the like are intended to refer to a computer-related entity, either hardware, firmware, a combination of hardware and software, or software in execution. For example, a component may be, but is not limited to being, a process running on a processor, an object, an executable, a thread of execution, a program, and/or a computer. By way of illustration, both an application running on a computing device and the computing device can be a component. One or more components can reside within a process and/or thread of execution and a component can be localized on one computer and/or distributed between 2 or more computers. In addition, these components can execute from various computer readable media having various data structures stored thereon. The components may communicate by way of local and/or remote processes such as in accordance with a signal having one or more data packets (e.g., data from two components interacting with another component in a local system, distributed system, and/or across a network such as the internet with other systems by way of the signal).

In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the above-described division of the units is only one type of division of logical functions, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The integrated unit may be stored in a computer-readable storage medium if it is implemented in the form of a software functional unit and sold or used as a separate product. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a storage medium, and including several instructions for enabling a computer device (which may be a personal computer, a server, or a network device, and may specifically be a processor in the computer device) to execute all or part of the steps of the above-mentioned method of the embodiments of the present application. The storage medium may include: a U disk, a removable hard disk, a magnetic disk, an optical disk, a read-only memory (ROM), a Random Access Memory (RAM), or other various media capable of storing program codes.

The above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.

Claims

1. A noise control system for an automotive air conditioner, comprising:

m reference microphones, N error microphones, and Q secondary sources;

wherein the N error microphones are respectively located in backrest regions of K seats in the target vehicle, and M, N, Q, K are respectively positive integers;

the reference microphone is used for acquiring a first noise signal at least one air conditioner air outlet corresponding to the target vehicle and sending the first noise signal to the processor, and the reference microphone is any one of the M reference microphones;

the error microphone is used for acquiring a second noise signal around the seat where the error microphone is located in the K seats and sending the second noise signal to the processor, and the error microphone is any one of the N error microphones;

and the secondary source is used for respectively controlling the sound energy of the noise monitored by the corresponding error microphone based on the first noise signal and the second noise signal, and is any one of the Q secondary sources.

2. The system of claim 1, further comprising a processor;

the processor is configured to receive the first noise signal and the second noise signal; calculating a control signal based on the first noise signal and the second noise signal; and sending the control signal to the secondary source;

the secondary source is specifically configured to control the sound energy of the noise monitored by the corresponding error microphone based on the control signal.

3. The system of claim 2, wherein the reference microphone is specifically configured to: when an air conditioner opening signal of a target air conditioner air outlet is received, collecting the first noise signal at the at least one air conditioner air outlet, and sending the first noise signal to the processor;

the error microphone is specifically used for collecting a second noise signal of the periphery of the seat where the error microphone is located in the K seats when the air conditioner starting signal is received, and sending the second noise signal to the processor.

4. The system according to any one of claims 1-3, wherein the N error microphones are located at the heads of the backrest regions of the K seats, respectively.

5. The system according to any one of claims 1-4, wherein the Q secondary sources are located at the heads of the backrest regions of the K seats, respectively.

6. The system according to any one of claims 1 to 5, wherein the M reference microphones are respectively located outside the corresponding at least one air-conditioning outlet duct and within a preset distance range of the at least one air-conditioning outlet.

7. The system according to any one of claims 1-5, wherein each of the M reference microphones corresponds to one air conditioner outlet, and each of the M reference microphones corresponds to at least two error microphones.

8. The system according to any of claims 1-7, wherein the secondary source is an electro-acoustic transducer that converts an electrical signal to an acoustic signal.

9. The system according to any one of claims 1-8, wherein 2a x K equals N equal to Q, and N and Q are even numbers greater than or equal to 2, a being a positive integer, x being a multiple, wherein each of the K seats corresponds to at least 2 error microphones and at least 2 secondary sources, respectively.

10. The system according to any one of claims 2-8, wherein N is equal to Q, and wherein the N error microphones are in one-to-one correspondence with the Q secondary sources.

11. The system of claim 10, wherein the N error microphones comprise a first type of error microphone for collecting a noise signal at a left ear of the user and a second type of error microphone for collecting a noise signal at a right ear of the user;

the Q secondary sources comprise a first class of secondary sources and a second class of secondary sources, and the first class of secondary sources are used for controlling the sound energy of the noise monitored by the first class of error microphones based on the control signal so as to reduce the sound energy at the left ear of the user; and the second type secondary source is used for controlling the sound energy of the noise monitored by the second type error microphone based on the control signal so as to reduce the sound energy at the right ear of the user.

12. The noise control method of the automobile air conditioner is characterized by being applied to a noise control system of the automobile air conditioner, and the noise control system of the automobile air conditioner comprises the following steps: m reference microphones, N error microphones, and Q secondary sources; wherein the N error microphones are respectively located in backrest regions of K seats in the target vehicle, and M, N, Q, K are respectively positive integers; the method comprises the following steps:

collecting a first noise signal at least one corresponding air conditioner air outlet in the target vehicle through a reference microphone, and sending the first noise signal to the processor, wherein the reference microphone is any one of the M reference microphones;

collecting a second noise signal around a seat where the error microphone is located in the K seats through the error microphone, and sending the second noise signal to the processor, wherein the error microphone is any one of the N error microphones;

and respectively controlling the sound energy of the noise monitored by the corresponding error microphone based on the first noise signal and the second noise signal through a secondary source, wherein the secondary source is any one of the Q secondary sources.

13. The method of claim 12, wherein the vehicle air conditioner noise control system further comprises a processor; the method further comprises the following steps:

receiving, by the processor, the first noise signal and the second noise signal; calculating a control signal based on the first noise signal and the second noise signal; sending the control signal to the secondary source;

the controlling, by the secondary source, the sound energy of the noise monitored by the corresponding error microphone based on the first noise signal and the second noise signal, respectively, includes:

and respectively controlling the sound energy of the noise monitored by the corresponding error microphone based on the control signal through the secondary source.

14. The method of claim 13, wherein the collecting a first noise signal at a corresponding at least one air conditioning outlet within the target vehicle via a reference microphone and sending the first noise signal to the processor comprises:

when an air conditioner opening signal of a target air conditioner air outlet is received, the reference microphone is used for collecting the first noise signal at the at least one air conditioner air outlet and sending the first noise signal to the processor;

the through error microphone gather in K seat the peripheral second noise signal of seat that the error microphone was located, and with the second noise signal send to the treater, include:

when the air conditioner starting signal is received, a second noise signal of the periphery of the seat where the error microphone is located in the K seats is collected through the error microphone, and the second noise signal is sent to the processor.

15. The method according to any one of claims 12-14, wherein the N error microphones are located at the heads of the back regions of the K seats, respectively.

16. The method of any one of claims 12 to 15, wherein the Q secondary sources are located at the heads of the backrest regions of the K seats, respectively.

17. The method according to any one of claims 12 to 16, wherein the M reference microphones are respectively located outside the duct of the corresponding at least one air-conditioning outlet and within a preset distance range of the at least one air-conditioning outlet.

18. The method according to any one of claims 12-16, wherein each of the M reference microphones corresponds to one air conditioner outlet, and each of the M reference microphones corresponds to at least two error microphones.

19. The method of any of claims 12-18, wherein the secondary source is an electro-acoustic transducer that converts an electrical signal to an acoustic signal.

20. The method according to any one of claims 12-19, wherein 2a x K equals N to Q, and N and Q are even numbers greater than or equal to 2, a being a positive integer, wherein each of the K seats corresponds to at least 2 error microphones and at least 2 secondary sources, respectively.

21. The method of any one of claims 13-19, wherein N is equal to Q, and wherein the N error microphones are in one-to-one correspondence with the Q secondary sources.

22. The system of claim 21, wherein the N error microphones comprise a first type of error microphone for collecting a noise signal at a left ear of the user and a second type of error microphone for collecting a noise signal at a right ear of the user;

23. A smart vehicle comprising a vehicle air conditioning noise control system, wherein the vehicle air conditioning noise control system is configured to perform the method of any of claims 12-22.

24. An electronic device comprising a processor and a memory, wherein the memory is configured to store vehicle air conditioner noise control program code, and the processor is configured to invoke the vehicle air conditioner noise control program code to perform:

receiving a first noise signal and a second noise signal, wherein the first noise signal is acquired by a reference microphone at least one air conditioner air outlet corresponding to a target vehicle, the second noise signal is acquired by an error microphone at the periphery of a seat where the error microphone is located in K seats in the target vehicle, the target vehicle comprises M reference microphones and N error microphones, the N error microphones are respectively located in backrest regions of the K seats in the target vehicle, the reference microphone is any one of the M reference microphones, the error microphone is any one of the N error microphones, and M, N, K are respectively positive integers;

calculating a control signal according to the first noise signal and the second noise signal;

and controlling the sound energy of the noise monitored by the N error microphones based on the control signal.

25. The electronic device of claim 24, wherein the target vehicle includes Q secondary sources, Q being a positive integer; the processor is used for calling the automobile air conditioner noise control program code to specifically execute: and sending the control signal to a secondary source, and controlling the secondary source to respectively control the sound energy of the noise monitored by the corresponding error microphone based on the control signal, wherein the secondary source is any one of the Q secondary sources.

26. An apparatus, comprising a processor configured to:

27. The apparatus of claim 26, wherein the target vehicle comprises Q secondary sources, Q being a positive integer; the processor is specifically configured to: and sending the control signal to a secondary source, and controlling the secondary source to respectively control the sound energy of the noise monitored by the corresponding error microphone based on the control signal, wherein the secondary source is any one of the Q secondary sources.

28. The apparatus of claim 27 wherein said Q secondary sources are respectively located at the heads of the back regions of said K seats.

29. The apparatus of any one of claims 26-28, wherein the N error microphones are located at the respective heads of the back regions of the K seats.

30. The apparatus according to any one of claims 26-29, wherein the M reference microphones are respectively located outside the duct of the corresponding at least one air-conditioning outlet and within a predetermined distance range of the at least one air-conditioning outlet.

31. The apparatus according to any one of claims 26-30, wherein each of the M reference microphones corresponds to one air conditioner outlet, and each of the M reference microphones corresponds to at least two error microphones.

32. The apparatus of claim 27, wherein the secondary source is an electro-acoustic transducer that converts an electrical signal to an acoustic signal.

33. The apparatus of claim 27, wherein 2a x K equals N equals Q, and N and Q are even numbers greater than or equal to 2, a is a positive integer, x is a multiple, and wherein each of the K seats corresponds to at least 2 error microphones and at least 2 secondary sources, respectively.

34. The apparatus of claim 27, wherein N is equal to Q, and wherein the N error microphones are in one-to-one correspondence with the Q secondary sources.

35. The apparatus of claim 27, wherein the N error microphones comprise a first type of error microphone and a second type of error microphone, and wherein the Q secondary sources comprise a first type of secondary source and a second type of secondary source; the processor is specifically configured to:

receiving the first noise signal and the user left ear noise signal collected by the first type of error microphone, and the user right ear noise signal collected by the second type of error microphone;

calculating a left ear control signal according to the first noise signal and the left ear noise signal; calculating a right ear control signal according to the first noise signal and the right ear noise signal;

based on the left ear control signal, controlling the first class secondary source to respectively control the sound energy of the noise monitored by the corresponding first class error microphone; and controlling the second type secondary source to respectively control the sound energy of the noise monitored by the corresponding second type error microphone based on the right ear control signal.

36. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program which, when being executed by a processor, carries out the method of any one of the preceding claims 12-22.

37. A computer program, characterized in that the computer program comprises instructions which, when executed by a computer, cause the computer to carry out the method according to any one of claims 12-22.