An air conditioner active noise reduction control method and device, an air conditioner, and a storage medium

Abstract

This invention discloses an active noise reduction control method, device, air conditioner, and storage medium for an air conditioner, belonging to the field of air conditioning technology. The method includes: acquiring a noise reduction coefficient from each of multiple designated locations within the air conditioner to other designated locations when the air conditioner is off; collecting real noise data generated at each designated location based on the noise reduction coefficient; performing noise reduction processing on a noise reduction module corresponding to the designated location based on the real noise data; acquiring the noise change rate of the real noise data within a preset time period, and determining whether abnormal noise exists based on the noise change rate; and generating a noise anomaly alert when abnormal noise is detected. The method provided by this invention can be applied to energy-saving air conditioners. By calibrating the noise reduction coefficient and collecting real noise data, targeted noise reduction processing can be achieved, thereby improving the overall noise reduction effect; simultaneously, timely maintenance can be performed by identifying abnormal noise.

Description

Technical Field

[0001] This invention relates to the field of air conditioning technology, and in particular to an active noise reduction control method, device, air conditioner, and storage medium for an air conditioner. Background Technology

[0002] With the rapid development of the manufacturing industry, the performance of home appliances has been continuously improved, and their prices have become increasingly affordable, making them indispensable necessities for families. Among them, air conditioners, as core home appliances for regulating indoor temperature and ensuring living comfort, are receiving increasing attention from consumers regarding their user experience. Operating noise, as a key factor affecting air conditioner comfort, has become a major focus of attention within the industry.

[0003] In actual operation, air conditioner noise is multi-source and complex: on the one hand, normal operation processes such as fan operation and inlet / outlet gas flow generate inherent noise; on the other hand, with the increase of service life, malfunctions such as loose internal connecting parts and refrigerant leakage can cause a series of abnormal noises. These noises not only affect the user's living experience, but long-term exposure to noisy environments may also have adverse effects on human health. Especially in scenarios where quietness is required, such as at night, the noise problem is more prominent. Related complaint data shows that low-frequency humming and airflow whistling have become the most concentrated noise types reported by users, seriously affecting user satisfaction with air conditioning products.

[0004] To address the issue of air conditioner operating noise, the industry has proposed various noise reduction technologies, and related patents have provided targeted solutions. For example, patent CN116147133A discloses an air conditioner noise reduction method. This method acquires noise data from the air conditioner's operating setting and corresponding operating state, compares it with a preset noise level, determines whether the noise is of the liquid flow type, and adjusts the air conditioner's operating setting accordingly, thereby reducing air conditioner operating noise and improving comfort and operational stability. Another example is patent CN111816153A, which discloses a split-type air conditioner with active noise reduction. This method addresses the noise generated by the centrifugal fan by strategically arranging a data collector and speaker. The data collector collects noise data and feeds it back to the control center, which then instructs the speaker to output corresponding sound waves to specifically reduce the noise generated by the centrifugal fan, thus alleviating the problem caused by a single noise source to some extent.

[0005] However, in-depth analysis of existing patents and technologies reveals significant shortcomings in current air conditioning noise reduction technologies: most noise reduction solutions focus on a single noise source, making it difficult to effectively handle multi-source noise scenarios where inherent and abnormal noise coexist within the air conditioner, resulting in limited noise reduction effects. Furthermore, existing technologies generally neglect the performance peak of active noise cancellation devices, failing to fully utilize their noise reduction potential. This hinders further improvements in noise reduction accuracy and efficiency, failing to meet users' high-quality demands for quiet air conditioning. In addition, existing noise reduction technologies suffer from performance degradation under actual operating conditions, further impacting noise reduction stability throughout their entire lifespan.

[0006] Given the shortcomings of the existing technology, how to better solve the problems of poor multi-source noise processing effect and unfulfilled potential of active noise reduction in air conditioners, and effectively improve the quietness of air conditioner operation and user experience, is a problem that needs to be solved by those skilled in the art. Summary of the Invention

[0007] This invention provides an active noise reduction control method, device, air conditioner, and storage medium for air conditioners, aiming to enhance the noise reduction effect of air conditioners.

[0008] In a first aspect, embodiments of the present invention provide an active noise reduction control method for an air conditioner, comprising: With the air conditioner off, the noise reduction coefficient from each of the multiple designated locations inside the air conditioner to the other designated locations is obtained; wherein each of the designated locations is equipped with a noise acquisition module and a noise reduction module; When the air conditioner is running, the noise reduction coefficient is used to collect the actual noise data generated at each specified location through the noise acquisition module; Based on the actual noise data, the noise reduction module at the corresponding designated location is controlled to perform noise reduction processing; The noise change rate of the real noise data within a preset time period is obtained, and the presence of abnormal noise is determined based on the noise change rate. Then, a noise anomaly alert is generated when abnormal noise is detected.

[0009] Secondly, embodiments of the present invention provide an active noise reduction control device for an air conditioner, comprising: The coefficient acquisition unit is used to acquire the noise reduction coefficient from each of the multiple specified locations inside the air conditioner to other specified locations when the air conditioner is not turned on; wherein, each of the specified locations is equipped with a noise acquisition module and a noise reduction module; The data acquisition unit is used to collect real noise data generated at each specified location by the noise acquisition module in conjunction with the noise reduction coefficient when the air conditioner is running. The noise reduction processing unit is used to combine the real noise data and control the noise reduction module at the corresponding specified location to perform noise reduction processing. An anomaly alert unit is used to obtain the noise change rate of the real noise data within a preset time period, determine whether there is abnormal noise based on the noise change rate, and then generate a noise anomaly alert when it is determined that there is abnormal noise.

[0010] Thirdly, embodiments of the present invention provide an air conditioner, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the active noise reduction control method for the air conditioner as described in the first aspect.

[0011] Fourthly, embodiments of the present invention provide a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the active noise reduction control method for an air conditioner as described in the first aspect.

[0012] This invention provides an active noise reduction control method, device, air conditioner, and storage medium for an air conditioner. The method includes: when the air conditioner is off, acquiring a noise reduction coefficient from each of multiple designated locations inside the air conditioner to other designated locations; wherein each designated location is equipped with a noise acquisition module and a noise reduction module; when the air conditioner is running, acquiring real noise data generated at each designated location using the noise acquisition module in conjunction with the noise reduction coefficient; controlling the noise reduction module at the corresponding designated location to perform noise reduction processing based on the real noise data; acquiring the noise change rate of the real noise data within a preset time period, determining whether abnormal noise exists based on the noise change rate, and then generating a noise abnormality alert when abnormal noise is determined to exist. This invention, through pre-calibrating noise reduction coefficients between designated locations, can correct the original noise data during data acquisition, thereby obtaining more accurate real noise data for each location and effectively solving the problem of inaccurate data acquisition in multi-source noise scenarios. Based on accurate real noise data, the noise reduction module is then controlled to perform targeted noise reduction processing, fully leveraging the noise reduction capabilities of each module and improving the overall noise reduction effect. Simultaneously, abnormal noise is identified and alerts are generated through noise change rate, providing users with early warnings of abnormal noise caused by faults, facilitating timely maintenance and preventing long-term impact of abnormal noise on the user experience. This comprehensively improves the quietness of air conditioner operation and better meets users' demands for a high-quality user experience. The method provided by this invention can be applied to energy-saving air conditioners and has strong adaptability and versatility. Attached Figure Description

[0013] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0014] Figure 1 A flowchart illustrating an active noise reduction control method for an air conditioner provided in an embodiment of the present invention; Figure 2 This is a schematic diagram of the first sub-process of an active noise reduction control method for an air conditioner provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of the second sub-process of an active noise reduction control method for an air conditioner provided in an embodiment of the present invention; Figure 4 A schematic diagram of the third sub-process of an active noise reduction control method for an air conditioner provided in an embodiment of the present invention; Figure 5 A schematic diagram of the fourth sub-process of an active noise reduction control method for an air conditioner provided in an embodiment of the present invention; Figure 6 A schematic diagram of the fifth sub-process of an active noise reduction control method for an air conditioner provided in an embodiment of the present invention; Figure 7 This is a schematic diagram of the principle architecture of an active noise reduction control method for an air conditioner provided in an embodiment of the present invention; Figure 8 A schematic block diagram of an active noise reduction control device for an air conditioner provided in an embodiment of the present invention; Figure 9 This is a first sub-schematic block diagram of an active noise reduction control device for an air conditioner provided in an embodiment of the present invention; Figure 10 This is a second schematic block diagram of an active noise reduction control device for an air conditioner provided in an embodiment of the present invention; Figure 11 This is a third schematic block diagram of an active noise reduction control device for an air conditioner provided in an embodiment of the present invention; Figure 12 This is a fourth schematic block diagram of an active noise reduction control device for an air conditioner provided in an embodiment of the present invention; Figure 13 This is a fifth schematic block diagram of an active noise reduction control device for an air conditioner provided in an embodiment of the present invention; Figure 14 This is a schematic block diagram of an air conditioner provided in an embodiment of the present invention. Detailed Implementation

[0015] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0016] It should be understood that, when used in this specification and the appended claims, the terms "comprising" and "including" indicate the presence of the described features, integrals, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or collections thereof.

[0017] It should also be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used in this specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.

[0018] It should also be further understood that the term "and / or" as used in this specification and the appended claims refers to any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0019] Please see below. Figure 1 This invention provides an active noise reduction control method for an air conditioner, specifically including steps S101 to S104.

[0020] Step S101: When the air conditioner is not turned on, obtain the noise reduction coefficient from each of the multiple designated locations inside the air conditioner to the other designated locations; wherein, each of the designated locations is equipped with a noise acquisition module and a noise reduction module; Step S102: While the air conditioner is running, the noise reduction coefficient is used to collect the actual noise data generated at each specified location through the noise acquisition module. Step S103: Based on the real noise data, control the noise reduction module at the corresponding designated location to perform noise reduction processing; Step S104: Obtain the noise change rate of the real noise data within a preset time period, and determine whether there is abnormal noise based on the noise change rate. Then, generate a noise abnormality reminder when it is determined that there is abnormal noise.

[0021] In this embodiment, firstly, when the air conditioner is not turned on, the noise reduction coefficient from each of the multiple designated locations (each location is equipped with a noise acquisition module and a noise reduction module) to other locations is obtained. Then, when the air conditioner is running normally, the noise acquisition module collects the actual noise data generated at each designated location in combination with the obtained noise reduction coefficients. The collected actual noise data is then combined with a preset noise threshold to control the noise reduction module to carry out noise reduction work. The noise change rate of the actual noise data within a preset time period is also obtained. Based on the change rate, it is determined whether there is abnormal noise. If abnormal noise is determined to exist, a noise abnormality reminder is generated.

[0022] This embodiment pre-calibrates the noise reduction coefficients between designated locations, enabling correction of the original noise data during data acquisition. This results in more accurate acquisition of the true noise data generated at each location, effectively solving the problem of inaccurate data acquisition in multi-source noise scenarios. Based on the accurate true noise data, the noise reduction module is controlled to perform targeted noise reduction processing, fully leveraging the noise reduction capabilities of each module and improving the overall noise reduction effect. Simultaneously, abnormal noise is identified and alerts are generated through the noise change rate. This not only provides users with early warnings of abnormal noise caused by faults, facilitating timely inspection and maintenance, but also prevents abnormal noise from negatively impacting the user experience over a long period. Ultimately, this comprehensively improves the quietness of the air conditioner's operation, better meeting users' demands for a high-quality user experience.

[0023] This embodiment combines active noise cancellation (ANC) technology with user-defined processing to address both inherent noise (such as centrifugal fan noise and inlet / outlet turbulence noise) and abnormal noise (such as loose connections and refrigerant leaks) generated during air conditioner operation. Specifically, under normal conditions, fan operation and inlet / outlet airflow noise are inevitable during air conditioner operation due to structural and equipment performance limitations. This embodiment addresses these noises using ANC technology. However, some abnormal noises are probabilistic. Since adding additional sensors to eliminate these noises would increase production costs, identifying and locating the anomalies before manual intervention is more effective.

[0024] It should be noted that, due to the presence of multiple noise sources inside the air conditioner, using a single acquisition device and speaker to actively reduce internal noise is insufficient, potentially leading to inaccurate data collection and poor noise reduction output. Therefore, this embodiment employs a multi-area collaborative acquisition and processing method, using adaptive filtering to strip noise from each area, and then controlling the active noise-canceling speakers in each area to perform corresponding noise reduction based on the calculation results. Furthermore, this embodiment considers the performance threshold of the active noise-canceling device and the inherent self-processing factors of noise (such as severe filter clogging, which can be addressed by user self-cleaning). Therefore, a data stripping judgment point is established to remind users to handle the noise themselves to improve the noise reduction effect. Simultaneously, by comparing the data difference before and after acquisition, the presence of abnormal noise is determined. By stripping the acquired noise values, the abnormal noise spectrum is obtained, thereby identifying the type of abnormal noise for user self-processing or after-sales personnel handling.

[0025] Here, the air conditioner used in this embodiment can be an energy-saving air conditioning unit, or it can be adapted to other conventional air conditioning models with active noise reduction modules. No additional modifications to the original hardware structure are required. The noise reduction effect can be improved simply by upgrading the control logic at the software level. It has strong adaptability, low modification cost, and is easy to mass-produce and promote.

[0026] In practical applications, based on the noise reduction control method provided in this embodiment, a corresponding noise reduction control system is built. The noise reduction control system may include an indoor unit and an indoor unit active noise reduction control system. The indoor unit may include a first noise acquisition module (located in the centrifugal fan area), a second noise acquisition module (located in the air inlet area), a third noise acquisition module (located in the air outlet area), a first active noise reduction speaker module (located in the centrifugal fan area), a second active noise reduction speaker module (located in the air inlet area), a third active noise reduction speaker module (located in the air outlet area), and an external sound-generating unit, all of which are connected to the active noise reduction control center.

[0027] During assembly, since the low-frequency noise of the centrifugal fan mainly originates from mechanical vibrations caused by rotor imbalance and bearing wear, a piezoelectric accelerometer can be selected. Active noise-canceling speakers can be installed on the side wall of the air conditioner near the centrifugal fan; planar magnetic circuit speakers are preferred, with their main sound-emitting direction facing the air conditioner outlet to quickly generate noise that cancels out the low-frequency vibrations. Additionally, a second and third noise-collecting module can be installed 1-3 cm below the air inlet and outlet frames to prevent direct airflow. For the high-frequency whistling sound generated by air molecule pressure fluctuations at the air inlet and outlet, a small condenser microphone can be selected, and corresponding active noise-canceling speakers can be installed on the side wall of the air conditioner near the corresponding area, with the main sound-emitting direction facing the user; miniature dynamic coil speakers are preferred.

[0028] In one embodiment, such asFigure 2 As shown, step S101 includes steps S201 to S202.

[0029] Step S201: Control each designated location to emit first test noise data, and collect the first test noise data through other designated locations to obtain the corresponding second test noise data; Step S202: Calculate the ratio of the second test noise data to the first test noise data, and set the ratio as the noise reduction coefficient between the corresponding specified position and other specified positions.

[0030] Due to the limited internal space of air conditioners, the noise values ​​collected by the acquisition devices are often mixed noise. Since the acquisition devices are installed at certain intervals, the noise from each source attenuates with distance as it travels to a more distant acquisition device. The attenuation coefficient refers to the attenuation rate of sound waves and frequencies from a particular noise source to other locations. In this embodiment, when obtaining the noise attenuation coefficient, the air conditioner is first placed in an environment free from external noise interference, and all operating components are turned off to ensure that the acquisition devices and sound-emitting units at each designated location can function normally. Then, each designated location is sequentially controlled to emit first test noise data individually, while the acquisition devices at all other designated locations collect second test noise data transmitted to that location. After completing the test at each location, the sound-emitting unit at that location is turned off, and the process is repeated at the next location until all designated locations have been tested. Finally, based on the ratio of each set of second test noise data to the corresponding first test noise data, the noise attenuation coefficient between each pair of locations is obtained, completing the initial coefficient calibration and providing a calculation basis for correcting the actual noise data during subsequent operation.

[0031] For example, the speakers in the air outlet area are controlled to emit noise at a specific level. The noise values ​​sensed in each area are collected by acquisition modules in both the centrifugal fan area and the air inlet area. Based on this, a reduction factor c1 (the ratio of the noise value collected at the centrifugal fan to the original noise value in the air outlet area) and a reduction factor c2 (the ratio of the noise value collected in the air inlet area to the original noise value in the air outlet area) are calculated for both the centrifugal fan area and the air inlet area. Subsequently, the speakers in the air outlet area are turned off, and the speakers on the centrifugal fan side are controlled to emit noise at a specific level. The noise values ​​sensed in each area are collected by acquisition modules in both the air inlet and outlet areas, yielding corresponding reduction factors b1 (the ratio of the noise value collected in the air inlet area to the original noise value in the centrifugal fan area) and b2 (the ratio of the noise value collected in the air outlet area to the original noise value in the centrifugal fan area). Finally, the speaker in the air intake area is switched to emit a noise of a specific level, and the reduction coefficients a1 (the ratio of the noise value collected at the centrifugal fan to the original noise value in the air intake area) and a2 (the ratio of the noise value collected in the air intake area to the original noise value in the air intake area) are obtained for the centrifugal fan area and the air outlet area respectively.

[0032] In one embodiment, such as Figure 3 As shown, step S102 includes steps S301 to S302.

[0033] Step S301: For each specified location, obtain the original noise data collected at the specified location; Step S302: Set a noise reduction factor for the original noise data, and use an adaptive filtering method to filter the original noise data with the noise reduction factor set to obtain the real noise data.

[0034] In this embodiment, based on pre-calibrated noise reduction coefficients between pairs of locations, the original mixed noise data collected at each specified location is demixed and corrected. The original noise collected at each specified location includes both the noise component generated by the noise source at that location itself and the noise component attenuated by noise sources at other locations. Using the pre-determined noise reduction coefficients, the noise components transmitted from other locations can be removed, extracting the true noise component generated by the noise source at that specified location itself. Then, an adaptive filtering algorithm is used to smooth the extracted signal, eliminating environmental interference noise mixed in during signal transmission, ultimately obtaining accurate true noise data for each specified location, providing an accurate data foundation for subsequent noise reduction processing. Through demixing, the problem of inaccurate noise information collected from a single location is solved, ensuring the accuracy of the subsequent active noise reduction output and improving the overall noise reduction effect.

[0035] For example, as mentioned above, the noise values ​​collected by each noise acquisition module include sound waves emitted by all noise sources. The noise value received by the first noise acquisition module mainly consists of low-frequency noise generated by the centrifugal fan and high-frequency whistling sounds from the distant air inlet and outlet areas. The other modules follow the same principle. Therefore, the first noise acquisition module (centrifugal fan area), the second noise acquisition module (air inlet area), and the third noise acquisition module (air outlet area) will collect the total noise data received in their respective areas in real time. By analyzing the received data, and controlling the speakers on the centrifugal fan side, the air inlet area side, and the air outlet area side to emit sound waves of specific frequencies, precise noise reduction can be achieved.

[0036] Specifically, the noise amplitudes A1, A2, and A3 collected by the first noise acquisition module, the second noise acquisition module, and the third noise acquisition module are obtained, and their data composition is shown in the following formula: In the formula, X represents the noise source value on the centrifugal fan side, Y represents the noise source value on the inlet area side, and Z represents the noise source value on the outlet area side; a1, a2, b1, b2, c1, and c2 are all noise reduction coefficients. This embodiment uses an adaptive filtering method to process the collected noise values ​​and, combined with the formula, obtains the true amplitudes X, Y, and Z of each noise source. Through formula integration, the true noise amplitude at the centrifugal fan can be expressed as: ,in: Based on the above formula, by fusing data from three sensors in a specific ratio, the interference of inlet and outlet whistling noise on centrifugal fan noise can be completely canceled, thus directly extracting the pure centrifugal fan noise amplitude. Based on the centrifugal fan noise frequency collected by the first noise acquisition module, an adaptive filtering algorithm is used to process the total noise values ​​collected by the second and third noise acquisition modules, combining amplitude and frequency, to isolate the centrifugal fan noise. After isolation, the noise values ​​from the second and third noise acquisition modules are mixed noise generated by the inlet and outlet noise sources. This is further isolated using the adaptive filtering algorithm to finally obtain the individual noise values ​​of each noise source. Based on the matrix arrangement of the three acquisition microphones, the individual noise values ​​of each noise source can be obtained using only a small number of sensors. This guides the active noise-canceling speaker to output reverse sound waves, achieving a noise reduction effect.

[0037] In one embodiment, step S103 includes: Based on the real noise data at each specified location, the noise reduction module at the corresponding specified location is controlled to output a reverse sound wave.

[0038] Furthermore, such as Figure 4 As shown, step S103 further includes steps S401 to S402.

[0039] Step S401: Compare the actual noise data with a preset noise threshold; Step S402: If the actual noise data exceeds the preset noise threshold, the magnitude of the reverse sound wave is set according to the noise threshold, and the noise reduction module at the corresponding specified position is controlled to output the reverse sound wave and issue a noise reduction reminder.

[0040] After obtaining the actual noise data at each specified location, this embodiment can control the active noise-canceling speaker at the corresponding location to output a matching reverse sound wave based on the amplitude and frequency of the actual noise data, thereby canceling the inherent noise of the corresponding area and achieving precise active noise reduction.

[0041] Meanwhile, this embodiment also considers that although active noise cancellation devices can effectively reduce noise levels throughout the air conditioner, the load on the active noise cancellation sensors increases with fan aging or filter blockage. When this exceeds the device's performance limit, distortion will occur. Therefore, it is necessary to set device thresholds to optimize active noise cancellation performance. This involves comparing the actual noise data for each area with a preset noise threshold. If the actual noise data does not exceed the threshold, the reverse sound wave is output to cancel it out completely. If the actual noise data exceeds the preset noise threshold, the reverse sound wave is output only according to the parameters corresponding to the noise threshold, preventing the speaker from exceeding its performance peak and causing distortion noise. Simultaneously, a corresponding noise reduction reminder is generated and sent to the user, indicating that the current noise level exceeds the processing range of the active noise cancellation device, guiding the user to perform self-checks and self-treatment in the corresponding area, such as cleaning clogged filters or tightening loose outer covers, thereby reducing the noise level.

[0042] For example, combining Figure 7The system determines the relationship between the noise values ​​X, Y, and Z collected in each area and the preset noise thresholds X0, Y0, and Z0. When the noise values ​​X, Y, and Z collected in each area are less than the preset noise thresholds X0, Y0, and Z0 for the corresponding area, the system controls the speakers in each area to output noise-reducing waves at the corresponding frequencies. If the noise value collected in a certain area is greater than the preset noise threshold, the system outputs noise-reducing waves according to the preset noise threshold for that area and instructs the sound unit to issue a voice reminder to the user, prompting them to take appropriate measures to reduce the operating noise of the air conditioner. For example, if the collected values ​​in the air inlet and air outlet areas are greater than the preset noise thresholds, the system controls the sound unit to remind the user to clean the filter; if the noise value X collected in the centrifugal fan area is greater than the preset noise threshold X0, the system reminds the user that the motor is severely aged and needs to be repaired or replaced to reduce noise.

[0043] In practical applications, the performance limit of a planar magnetic circuit loudspeaker is 100dB. Therefore, with a 15% safety margin, its preset threshold sound pressure level can be set to 85dB, which can be converted to amplitude P using the formula P=0.0002∙10^(LP / 20) (where LP is the sound pressure level). The output sound pressure level limit range of a miniature dynamic loudspeaker is 90dB-95dB. After reserving a certain buffer range, the preset threshold sound pressure level in the air inlet and outlet areas can be set to 80dB. Finally, the preset threshold X0 is determined to be 0.35Pa, and the preset thresholds Y0 and Z0 are 0.2Pa.

[0044] Using the above method, this embodiment separates different noise sources such as centrifugal fan noise and inlet / outlet airflow noise through real-time zone monitoring and adaptive filtering technology, generating specific reverse noise reduction waves for the three noise sources. By preset noise peak thresholds for each area, users are reminded to take corresponding self-handling measures for specific problems, achieving noise reduction while reducing the load on active noise-canceling speakers, thereby improving equipment performance and overall noise reduction capability.

[0045] In one embodiment, such as Figure 5 As shown, step S104 includes steps S501 to S504.

[0046] Step S501: Record the real noise data within consecutive time intervals; Step S502: Use the root mean square slope detection method to obtain the sound pressure level increase within a preset time period, and set the increase as the noise change rate; Step S503: Compare the noise change rate with a preset change rate threshold; Step S504: If the noise change rate exceeds the preset change rate threshold, it is determined that there is abnormal noise.

[0047] In addition to the inherent noise mentioned above, sudden abnormal noises may occur during air conditioner operation (such as vibrations caused by loose connections of components, dripping sounds from blocked drain pipes, and refrigerant leaks). These phenomena are mainly manifested as a sharp increase in noise values ​​in the collected noise data. To address this, this embodiment uses the root mean square slope method to calculate the slope of the inherent noise data collected continuously to obtain the rate of increase in sound pressure level in the current area, i.e., the noise change rate. When the noise change rate exceeds a preset change rate threshold, it can be determined that abnormal noise exists in that area.

[0048] Here, the root mean square slope method refers to dividing the sound pressure level data collected over a continuous time period into segments, calculating the root mean square value of each segment, and then performing a linear fit with the segment interval number as the x-axis and the root mean square value as the y-axis. The slope of the final fitted line is the desired noise change rate. The larger the slope, the faster the sound pressure level in that area increases during this period, and the higher the probability of abnormal noise.

[0049] Furthermore, such as Figure 6 As shown, step S104 further includes steps S601 to S602.

[0050] Step S601: Use an adaptive filtering method to filter the real noise data containing abnormal noise to obtain abnormal noise segments; Step S602: Match and identify the abnormal noise segment with a preset noise database to obtain the abnormal noise type corresponding to the abnormal noise.

[0051] In this embodiment, after confirming the presence of abnormal noise, an adaptive filtering method is used to isolate the abnormal noise from the original inherent noise. The abnormal noise segment is extracted separately, and its spectral characteristics are obtained. Then, the extracted spectral characteristics are matched with various abnormal noise spectra stored in a pre-set noise database to accurately identify the type of the current abnormal noise. Combined with previously obtained information on the location of the abnormal noise, the source of the abnormal noise can be accurately located. After location is complete, the air conditioner can directly push the type and specific location information of the abnormal noise to the user's terminal, allowing after-sales personnel to identify the fault in advance, conduct targeted on-site repairs, and resolve the problem in its early stages, avoiding impact on the user experience.

[0052] Here, the noise database described in this embodiment pre-stores feature spectrum data corresponding to different abnormal noise types. Each type of abnormal noise corresponds to multiple sets of feature spectra under different regions and operating conditions, which can cover most possible abnormal noise situations of air conditioners. During matching, the matching range is first narrowed down by combining the region where the abnormal noise is located, and then the extracted abnormal noise spectrum is compared with the feature spectrum within the range one by one. The type corresponding to the feature spectrum with the highest similarity is selected as the final identification result to ensure the accuracy of identification.

[0053] For example, in practical applications, the purified noise amplitude value A of the sensors at each location is first recorded at the current time and the previous time. i With A i-1 The RMS (root mean square) slope detection method is used to determine the increase in sound pressure level over time dt, thereby determining whether abnormal noise has occurred internally. Specifically, if N i If N < N0 (preset growth value), it proves that in the current state, the air conditioner does not generate any abnormal noise other than its inherent noise; if N i If the value is ≥N0, then abnormal noise is considered to have occurred. Here, for common abnormal noises, the dripping sound inside an air conditioner is typically 35 dB under normal circumstances, and the abnormal vibration noise from equipment connections is typically 50 dB. However, filter blockage and motor aging are slow-increasing processes, with an increase of no more than 1 dB within the time interval dt. Therefore, while allowing the existence of special abnormal noises, a preset threshold of 10 dB can be used.

[0054] Specifically, when N appears i When N ≥ N0, an adaptive filtering method is used to extract abnormal noise. Based on the noise amplitude collected at the current moment, the purified true noise values ​​from the previous moment are eliminated, thus obtaining the audio segments of the abnormal noise. The three extracted abnormal noises are sorted (as shown in the following formula), and maxA is applied. i异 The system matches the noise against a pre-set noise database to identify the types of abnormal noise and thus recognize the abnormal noise.

[0055] ; In the formula, i = 1, 2, 3, A i A represents the currently collected abnormal noise value. i 'This represents the abnormal noise value collected at the previous moment.

[0056] For identified abnormal noises, this embodiment can use a sound-generating unit to remind the user to handle the issue themselves or contact customer service for after-sales support. For abnormal noises with distinctive characteristics (such as the hissing sound of refrigerant leakage or the dripping sound of a blocked drain pipe), the control center can accurately locate and inform the user of the source of the abnormal noise problem; while for abnormal noises with a wide distribution range (such as vibration noise caused by loose connecting parts), the control center can use the calculated maximum and second largest A values ​​to... i异 The system reverses the location of the noise collection area and then directs the sound-emitting unit to remind the user or maintenance personnel which two areas the abnormal noise source is located between, thereby narrowing down the search area for the abnormal noise.

[0057] In summary, the active noise reduction control method for air conditioners provided in this embodiment can solve the following core technical problems: First, existing methods for handling internal noise in air conditioners are indiscriminate. Due to the significant differences in the spectral characteristics of different types of noise, a single, indiscriminate approach can only solve the problem of some noise sources and cannot effectively cope with the overall noise in a complex environment, resulting in limited noise reduction effects. Second, current intelligent noise reduction in air conditioners largely relies on active noise cancellation (ANC). This method over-relies on the performance of noise reduction equipment while ignoring the equipment's operating limits. When the noise reduction demand exceeds the performance peak of equipment such as speakers, it is easy to generate abnormal noise such as distortion, which increases user annoyance. Finally, abnormal noise itself has characteristics such as diversity, uncertainty, and randomness in its location. In addition, the internal space of an air conditioner is small, making it difficult for the human ear to accurately identify the source of abnormal noise, which greatly increases the difficulty for users to handle it themselves and for after-sales maintenance personnel to handle it.

[0058] To address the aforementioned technical problems, this embodiment achieves significant technical effects through targeted technical design, specifically as follows: First, a multi-segment zoning mode is adopted. For different types of noise, a small number of sensors are installed using multi-region zoning technology. After purifying the collected noise, it guides the output of directional sound waves in each region, effectively solving the inherent noise generated by different locations and types of equipment, significantly improving the overall noise reduction performance of the air conditioner. Compared to existing technologies, the number of sensors is greatly reduced, effectively lowering the equipment load. Second, a multi-strategy noise reduction approach is adopted, combining active noise reduction with user self-processing, real-time monitoring and... By collecting noise values ​​and using preset noise reduction device thresholds to determine appropriate noise reduction methods, the overall noise reduction effect of the air conditioner is optimized. Compared with existing technologies, this not only reduces the reliance on sensors but also solves the inherent noise problem more efficiently. Third, it achieves precise location of abnormal noise sources. By monitoring and collecting the growth rate of noise in real time, an adaptive filtering method is used to strip the spectrum of abnormal noise and complete the location. Compared with existing technologies, this embodiment clearly divides noise into inherent noise and abnormal noise. Inherent noise is eliminated by active noise reduction, while abnormal noise is identified and located and then handled by after-sales service, which greatly optimizes the user's comfort.

[0059] Figure 8 This is a schematic block diagram of an active noise reduction control device 800 for an air conditioner provided in an embodiment of the present invention. The active noise reduction control device 800 for an air conditioner includes: The coefficient acquisition unit 801 is used to acquire the noise reduction coefficient from each of the multiple specified locations inside the air conditioner to other specified locations when the air conditioner is not turned on; wherein, each of the specified locations is equipped with a noise acquisition module and a noise reduction module; The data acquisition unit 802 is used to collect real noise data generated at each specified location by the noise acquisition module in conjunction with the noise reduction coefficient when the air conditioner is running. The noise reduction processing unit 803 is used to combine the real noise data and control the noise reduction module at the corresponding specified position to perform noise reduction processing. The anomaly alert unit 804 is used to obtain the noise change rate of the real noise data within a preset time period, determine whether there is abnormal noise based on the noise change rate, and then generate a noise anomaly alert when it is determined that there is abnormal noise.

[0060] In one embodiment, such as Figure 9 As shown, the coefficient acquisition unit 801 includes: The test acquisition unit 901 is used to control each designated location to emit first test noise data, and to acquire the first test noise data through other designated locations to obtain the corresponding second test noise data. The ratio calculation unit 902 is used to calculate the ratio of the second test noise data to the first test noise data, and set the ratio as the noise reduction coefficient between the corresponding specified position and other specified positions.

[0061] In one embodiment, such as Figure 10 As shown, the data acquisition unit 802 includes: The raw acquisition unit 1001 is used to acquire the raw noise data collected at each specified location. The first filtering unit 1002 is used to set a noise reduction coefficient for the original noise data and to use an adaptive filtering method to filter the original noise data with the noise reduction coefficient to obtain the real noise data.

[0062] In one embodiment, the noise reduction processing unit 803 includes: The reverse output unit is used to control the noise reduction module at the corresponding specified position to output a reverse sound wave based on the real noise data at each specified position.

[0063] In one embodiment, such as Figure 11 As shown, the noise reduction processing unit 803 further includes: The first comparison unit 1101 is used to compare the real noise data with a preset noise threshold. The threshold output unit 1102 is used to set the magnitude of the reverse sound wave according to the noise threshold and control the noise reduction module at the corresponding specified position to output the reverse sound wave if the actual noise data exceeds the preset noise threshold, and issue a noise reduction reminder.

[0064] In one embodiment, such as Figure 12 As shown, the anomaly alert unit 804 includes: The continuous recording unit 1201 is used to record real noise data over a continuous period of time. The amplitude acquisition unit 1202 is used to acquire the sound pressure level increase amplitude within a preset time period using the root mean square slope detection method, and set the increase amplitude as the noise change rate. The second comparison unit 1203 is used to compare the noise change rate with a preset change rate threshold. The anomaly determination unit 1204 is used to determine that there is abnormal noise if the noise change rate exceeds a preset change rate threshold.

[0065] In one embodiment, such as Figure 13 As shown, the anomaly alert unit 804 further includes: The second filtering unit 1301 is used to filter real noise data containing abnormal noise using an adaptive filtering method to obtain abnormal noise segments. The matching and identification unit 1302 is used to match and identify the abnormal noise segment with a preset noise database to obtain the abnormal noise type corresponding to the abnormal noise.

[0066] Since the embodiments of the apparatus and the embodiments of the method correspond to each other, please refer to the description of the embodiments of the method for the embodiments of the apparatus, which will not be repeated here.

[0067] Please see Figure 14 The present invention also provides an air conditioner 1400, which is a device with wireless and wired communication capabilities.

[0068] The air conditioner 1400 includes a processor 1402, a memory, and a network interface 1405 connected via a system bus 1401. The memory may include a non-volatile storage medium 1403 and internal memory 1404.

[0069] The non-volatile storage medium 1403 may store an operating system 14031 and a computer program 14032. When the computer program 14032 is executed, it causes the processor 1402 to execute an active noise reduction control method for an air conditioner.

[0070] The processor 1402 provides computing and control capabilities to support the operation of the entire air conditioner 1400.

[0071] The internal memory 1404 provides an environment for the operation of the computer program 14032 in the non-volatile storage medium 1403. When the computer program 14032 is executed by the processor 1402, the processor 1402 can execute an active noise reduction control method for an air conditioner.

[0072] This network interface 1405 is used for network communication with other devices. Those skilled in the art will understand that... Figure 14 The structure shown is merely a block diagram of a portion of the structure related to the present invention and does not constitute a limitation on the air conditioner 1400 to which the present invention is applied. The specific air conditioner 1400 may include more or fewer components than shown in the figure, or combine certain components, or have different component arrangements.

[0073] The processor 1402 is used to run a computer program 14032 stored in a memory to implement any embodiment of the above-described active noise reduction control method for air conditioners.

[0074] It should be understood that, in this embodiment of the invention, the processor 1402 may be a Central Processing Unit (CPU), or it may be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor.

[0075] It will be understood by those skilled in the art that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program may be stored in a storage medium, which is a computer-readable storage medium. The computer program is executed by at least one processor in the computer system to implement the process steps of the embodiments of the above methods.

[0076] This invention also provides a computer-readable storage medium storing a computer program thereon, which, when executed, can perform the steps provided in the above embodiments. The storage medium may include various media capable of storing program code, such as a USB flash drive, a portable hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0077] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the systems disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the descriptions are relatively simple; relevant parts can be referred to in the method section. It should be noted that those skilled in the art can make various improvements and modifications to this application without departing from the principles of this application, and these improvements and modifications also fall within the protection scope of the claims of this application.

[0078] It should also be noted that, in this specification, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

Claims

1. An active noise reduction control method for an air conditioner, characterized in that, include: With the air conditioner off, the noise reduction coefficient from each of the multiple designated locations inside the air conditioner to the other designated locations is obtained; wherein each of the designated locations is equipped with a noise acquisition module and a noise reduction module; When the air conditioner is running, the noise reduction coefficient is used to collect the actual noise data generated at each specified location through the noise acquisition module; Based on the actual noise data, the noise reduction module at the corresponding designated location is controlled to perform noise reduction processing; The noise change rate of the real noise data within a preset time period is obtained, and the presence of abnormal noise is determined based on the noise change rate. Then, a noise anomaly alert is generated when abnormal noise is detected.

2. The active noise reduction control method for air conditioners according to claim 1, characterized in that, The process of obtaining the noise reduction coefficient from each specified location to other specified locations within a plurality of specified locations inside the air conditioner includes: Control each designated location to emit first test noise data, and collect the first test noise data through other designated locations to obtain the corresponding second test noise data; Calculate the ratio of the second test noise data to the first test noise data, and set the ratio as the noise reduction factor between the corresponding specified position and other specified positions.

3. The active noise reduction control method for air conditioners according to claim 1, characterized in that, The step of combining the noise reduction coefficient with the noise acquisition module to collect real noise data generated at each specified location includes: For each specified location, acquire the raw noise data collected at the specified location; A noise reduction factor is set on the original noise data, and an adaptive filtering method is used to filter the original noise data with the noise reduction factor set to obtain the real noise data.

4. The active noise reduction control method for air conditioners according to claim 1, characterized in that, The step of combining the real noise data to control the noise reduction module to perform noise reduction processing includes: Based on the real noise data at each specified location, the noise reduction module at the corresponding specified location is controlled to output a reverse sound wave.

5. The active noise reduction control method for air conditioners according to claim 1, characterized in that, The step of controlling the noise reduction module to perform noise reduction processing based on the real noise data further includes: The actual noise data is compared with a preset noise threshold; If the actual noise data exceeds the preset noise threshold, the magnitude of the reverse sound wave is set according to the noise threshold, and the noise reduction module at the corresponding specified position is controlled to output the reverse sound wave and issue a noise reduction reminder.

6. The active noise reduction control method for air conditioners according to claim 1, characterized in that, The process of acquiring the noise change rate of the real noise data within a preset time period, determining whether abnormal noise exists based on the noise change rate, and then generating a noise anomaly alert when abnormal noise is detected includes: Record real noise data over consecutive time periods; The sound pressure level increase within a preset time period is obtained using the root mean square slope detection method, and the increase is set as the noise change rate. The noise change rate is compared with a preset change rate threshold. If the noise change rate exceeds a preset change rate threshold, then abnormal noise is determined to exist.

7. The active noise reduction control method for an air conditioner according to claim 1, characterized in that, The step of acquiring the noise change rate of the real noise data within a preset time period, determining whether there is abnormal noise based on the noise change rate, and then generating a noise anomaly alert when abnormal noise is detected, further includes: An adaptive filtering method is used to filter real noise data containing abnormal noise to obtain abnormal noise segments. The abnormal noise segment is matched and identified with a preset noise database to obtain the abnormal noise type corresponding to the abnormal noise.

8. An active noise reduction control device for an air conditioner, characterized in that, include: The coefficient acquisition unit is used to acquire the noise reduction coefficient from each of the multiple specified locations inside the air conditioner to other specified locations when the air conditioner is not turned on; wherein, each of the specified locations is equipped with a noise acquisition module and a noise reduction module; The data acquisition unit is used to collect real noise data generated at each specified location by the noise acquisition module in conjunction with the noise reduction coefficient when the air conditioner is running. The noise reduction processing unit is used to combine the real noise data and control the noise reduction module at the corresponding specified location to perform noise reduction processing. An anomaly alert unit is used to obtain the noise change rate of the real noise data within a preset time period, determine whether there is abnormal noise based on the noise change rate, and then generate a noise anomaly alert when it is determined that there is abnormal noise.

9. An air conditioner, characterized in that, The device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the active noise reduction control method for an air conditioner as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the active noise reduction control method for an air conditioner as described in any one of claims 1 to 7.

Images