Active Noise Cancellation Method, Device, Equipment, and Storage Medium Based on Multi-Device Linkage

Abstract

The present invention provides an active noise reduction method, device, equipment, and storage medium based on multi-device linkage. The method includes: after the first bedside device enables the target noise reduction mode, determining the first amplitude of the input audio of the first noise reduction device in real time, sending a first detection signal to each associated bedside device, detecting the second amplitude in real time in the corresponding hospital bed area through each associated bedside device, determining the hospital bed area where the noise source is generated by using the largest second amplitude, and then determining the corresponding second bedside device. The first spectrum is obtained through audio analysis of the second bedside device in the corresponding hospital bed area to ensure that the first spectrum can accurately represent the audio parameters of the noise source. The first bedside device can ensure the elimination of the target noise and improve the noise reduction flexibility and patient experience by applying the first spectrum and the first amplitude detected locally for active noise reduction.

Description

Technical Field

[0001] The present invention relates to the technical field of active noise reduction, and particularly to an active noise reduction method, device, equipment, and storage medium based on multi-device linkage. Background Art

[0002] Currently, ordinary inpatient wards usually have multiple hospital beds, and each hospital bed corresponds to a bed area for a patient. Since different patients have different hobbies, when multiple patients are admitted to the same ward, the sounds generated by some patients can easily affect the rest of other patients in the same ward. For example, playing audio loudly through a mobile phone, talking loudly on the phone, snoring while sleeping, or making sounds due to pain.

[0003] With the development of active noise reduction technology, some existing technologies have begun to set up active noise reduction devices in each bed area. The noise reduction device detects external noise and generates a reverse sound wave with opposite audio parameters, and realizes active noise reduction by playing the direction sound wave, creating a relatively quiet rest environment to a certain extent.

[0004] However, the audio in the ward not only includes the noise generated in other bed areas, but also includes the sounds in this bed area, such as the operating sounds of monitoring devices and the voices of medical staff. The active noise reduction devices of related technologies are usually set on the hospital bed or the bedside interaction device. Since multiple bed areas are located in the same ward space, the noise generated in other bed areas and the sounds in this bed area will be input to the active noise reduction device as external audio at the same time. The computing power of the active noise reduction device installed in the ward is limited and cannot perform complex audio calculations to distinguish different audio. It can only simply generate a reverse sound wave according to all the input audio to cover all the external audio, which results in some important sounds (such as the alarm sound of the monitoring device) being easily ignored after the noise reduction mode is turned on, and the flexibility of active noise reduction is relatively low. Summary of the Invention

[0005] The present invention aims to at least solve one of the technical problems existing in the prior art. For this purpose, the present invention provides an active noise reduction method, device, equipment, and storage medium based on multi-device linkage, which can determine the audio parameters of the target noise through the linkage of multiple bedside devices, and only filter the target noise in the bed area, improving the flexibility of active noise reduction.

[0006] In a first aspect, an embodiment of the present invention provides an active noise reduction method based on multi-device linkage, which is applied to a first bedside device. The first bedside device is communicatively connected to a plurality of associated bedside devices. The first bedside device is provided with a first noise reduction device, and the associated bedside devices are provided with associated noise reduction devices. The first bedside device and each of the associated bedside devices respectively correspond to a bed area. The method includes:

[0007] When a trigger signal for the target noise reduction mode is obtained, the first amplitude of the input audio of the first noise reduction device is determined in real time, and a first detection signal is sent to each of the associated bedside devices, so that each of the associated bedside devices can feedback the second amplitude of the input audio of the corresponding associated noise reduction device in real time;

[0008] Based on the second amplitude with the largest value, the second noise reduction device and the second bedside device are determined, and a second detection signal is sent to the second bedside device, and the first spectrum that the second bedside device feedbacks in real time in response to the second detection signal is obtained, where the first spectrum is obtained by the second noise reduction device analyzing the corresponding input audio;

[0009] The first spectrum is input into the first noise reduction device, and the first noise reduction device performs active noise reduction based on the first spectrum and the first amplitude.

[0010] According to some embodiments of the present invention, determining the first amplitude of the input audio of the first noise reduction device in real time and sending a first detection signal to each of the associated bedside devices, so that each of the associated bedside devices can feedback the second amplitude of the input audio of the corresponding associated noise reduction device in real time, includes:

[0011] Based on the current moment and a preset time redundancy value, the sampling start moment is determined, and based on the sampling start moment and a preset sampling period, the first detection signal is constructed and sent to each of the associated bedside devices;

[0012] Based on the sampling start moment, the first noise reduction device is started, and based on the sampling period, a plurality of first slices are periodically obtained from the input audio of the first noise reduction device, and the first amplitude of each of the first slices is determined;

[0013] The second amplitude of the second slice that the associated bedside device periodically feedbacks is obtained, where the second slice is periodically obtained from the input audio of the corresponding associated noise reduction device by the corresponding associated bedside device based on the sampling start moment after starting the corresponding associated noise reduction device and based on the sampling period;

[0014] The first amplitude and a plurality of the second amplitudes collected at the same moment are classified into the same amplitude group.

[0015] According to some embodiments of the present invention, determining the second noise reduction device and the second bedside device based on the second amplitude with the largest value includes:

[0016] Sort the plurality of amplitude groups according to the collection moment, and traverse the amplitude groups one by one;

[0017] Whenever a traversal reaches one of the amplitude groups, a first difference is determined based on the second amplitude with the largest value and the first amplitude, and corresponding second differences are determined based on the first amplitude and each of the remaining second amplitudes;

[0018] When both the first amplitude and the second amplitude of the amplitude group are greater than a preset first threshold, a first identifier is added to the corresponding amplitude group;

[0019] When the numerical differences between the first difference of the amplitude group and each of the second differences are all less than a preset second threshold, a second identifier is added to the corresponding amplitude group, where the second threshold is less than the first threshold;

[0020] When the number of amplitude groups continuously having the first identifier and the second identifier reaches a preset number threshold, and the second amplitude with the largest value comes from the same associated bedside device, the corresponding associated bedside device is determined as the second bedside device, and the corresponding second noise reduction device is determined.

[0021] According to some embodiments of the present invention, determining corresponding second differences based on the first amplitude and each of the remaining second amplitudes includes:

[0022] The associated bedside device corresponding to the second amplitude with the largest value is determined as the candidate bedside device, and the remaining associated bedside devices are determined as the third bedside devices;

[0023] When the third bedside device is between the candidate bedside device and the first bedside device, the second amplitude of the third bedside device is subtracted from the first amplitude to obtain the second difference;

[0024] Alternatively, when the first bedside device is between the third bedside device and the candidate bedside device, the first amplitude is subtracted from the second amplitude of the third bedside device to obtain the second difference.

[0025] According to some embodiments of the present invention, after active noise reduction is performed by the first noise reduction device based on the first spectrum and the first amplitude, the method further includes:

[0026] The second amplitude of the second bedside device is obtained in real time and determined as the reference amplitude;

[0027] The associated bedside devices other than the second bedside device are determined as the fourth bedside devices, the first amplitude and the reference amplitude obtained in real time are sent to the fourth bedside devices, and the third amplitude of the real-time input audio is obtained through the third noise reduction devices of the fourth bedside devices;

[0028] When the second spectrum sent by the fourth bedside device is obtained, determine a target spectrum based on the second spectrum and the first spectrum, and perform active noise reduction based on the target spectrum and the first amplitude, where the second spectrum is parsed by the third noise reduction device from the real-time input audio when the third amplitude satisfies a preset condition by the fourth bedside device;

[0029] Wherein, the preset condition includes at least one of the following:

[0030] The third amplitude is greater than or equal to the reference amplitude;

[0031] When the fourth bedside device is located between the first bedside device and the second bedside device, the difference between the fourth difference and the third difference is greater than a preset third threshold, where the third difference is the difference between the reference amplitude and the third amplitude, and the fourth difference is the difference between the third amplitude and the first amplitude;

[0032] When the first bedside device is located between the fourth bedside device and the second bedside device, the fourth difference is greater than or equal to the fifth difference, where the fifth difference is the difference between the reference amplitude and the first amplitude.

[0033] According to some embodiments of the present invention, after obtaining the third amplitude of the real-time input audio through the third noise reduction device of the fourth bedside device, the method further includes:

[0034] Send the first spectrum to the fourth bedside device;

[0035] When the fourth bedside device activates the target noise reduction mode, perform active noise reduction based on the first spectrum and the third amplitude.

[0036] According to some embodiments of the present invention, the first bedside device is communicatively connected to the hospital information system. Before obtaining the first spectrum that the second bedside device real-time feedbacks in response to the second detection signal, the method further includes:

[0037] Query the hospital information system through the second bedside device based on preset target patient information to determine at least one target monitoring device;

[0038] Obtain the target device frequency band of the target monitoring device from a preset frequency band mapping table, where the frequency band mapping table records the mapping relationship between the monitoring device and the device frequency band;

[0039] Delete each of the target device frequency bands in the first spectrum.

[0040] Second aspect, an embodiment of the present invention provides an active noise reduction device based on multi-device linkage, including at least one control processor and a memory communicatively connected to the at least one control processor; the memory stores instructions executable by the at least one control processor, and when the instructions are executed by the at least one control processor, the at least one control processor is enabled to execute the active noise reduction method based on multi-device linkage as described in the first aspect above.

[0041] Third aspect, an embodiment of the present invention provides an electronic device, including the active noise reduction device based on multi-device linkage as described in the second aspect above.

[0042] Fourth aspect, an embodiment of the present invention provides a computer-readable storage medium storing computer-executable instructions for executing the active noise reduction method based on multi-device linkage as described in the first aspect above.

[0043] According to the active noise reduction method based on multi-device linkage of the embodiments of the present invention, it has at least the following beneficial effects: when a trigger signal for a target noise reduction mode is obtained, the first amplitude of the input audio of the first noise reduction device is determined in real time, and a first detection signal is sent to each of the associated bedside devices, so that each of the associated bedside devices can feedback the second amplitude of the input audio of the corresponding associated noise reduction device in real time; based on the largest second amplitude value, the second noise reduction device and the second bedside device are determined, and a second detection signal is sent to the second bedside device, and the first spectrum that the second bedside device feeds back in real time in response to the second detection signal is obtained, where the first spectrum is obtained by the second noise reduction device analyzing the corresponding input audio; the first spectrum is input into the first noise reduction device, and the first noise reduction device performs active noise reduction based on the first spectrum and the first amplitude. According to the technical solution of the embodiments of the present invention, after the first bedside device turns on the target noise reduction mode, the second amplitude can be detected in real time in the corresponding hospital bed area by each associated bedside device, and the target hospital bed area where the noise is generated is determined by using the largest second amplitude value. The first spectrum is obtained by locally analyzing the audio in the target hospital bed area, ensuring that the first spectrum can accurately represent the audio parameters of the noise source. The first bedside device uses the first spectrum and the first amplitude detected locally to perform active noise reduction, which can ensure the elimination of the target noise and improve the noise reduction flexibility and patient experience. Description of the Drawings

[0044] Figure 1 is a schematic diagram of a ward area provided by an embodiment of the present invention;

[0045] Figure 2 is a flowchart of an active noise reduction method based on multi-device linkage provided by another embodiment of the present invention;

[0046] Figure 3 It is the complete flowchart of the active noise reduction method based on multi-device linkage provided by another embodiment of the present invention;

[0047] Figure 4 It is the structural diagram of the active noise reduction device based on multi-device linkage provided by another embodiment of the present invention. Detailed implementation manners

[0048] The embodiments of the present invention will be described in detail below. The examples of the embodiments are shown in the accompanying drawings, where the same or similar reference numerals represent the same or similar elements or elements with the same or similar functions from beginning to end. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and should not be construed as a limitation of the present invention.

[0049] In the description of the present invention, it should be understood that the orientation descriptions, such as up, down, front, back, left, right, etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings. It is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the present invention.

[0050] In the description of the present invention, the meaning of "several" is one or more, the meaning of "multiple" is two or more, "greater than", "less than", "exceeding", etc. are understood as not including the number itself, and "above", "below", "within", etc. are understood as including the number itself. If the first and the second are described only for the purpose of distinguishing technical features, they should not be understood as indicating or implying relative importance or implicitly indicating the quantity of the indicated technical features or implicitly indicating the sequence relationship of the indicated technical features.

[0051] In the description of the present invention, unless otherwise clearly defined, words such as "set", "installed", "connected", etc. should be understood in a broad sense, and those skilled in the art can reasonably determine the specific meanings of the above words in the present invention in combination with the specific content of the technical solution.

[0052] An embodiment of the present invention provides an active noise reduction method, device, equipment, and storage medium based on multi-device linkage. Among them, the active noise reduction method based on multi-device linkage includes: when a trigger signal for a target noise reduction mode is obtained, determining the first amplitude of the input audio of the first noise reduction device in real time, and sending a first detection signal to each of the associated bedside devices, so that each of the associated bedside devices can feedback the second amplitude of the input audio of the corresponding associated noise reduction device in real time; determining the second noise reduction device and the second bedside device based on the largest second amplitude, sending a second detection signal to the second bedside device, and obtaining a first spectrum that the second bedside device feedbacks in real time in response to the second detection signal, where the first spectrum is obtained by the second noise reduction device analyzing the corresponding input audio; inputting the first spectrum into the first noise reduction device, and performing active noise reduction by the first noise reduction device based on the first spectrum and the first amplitude. According to the technical solution of the embodiment of the present invention, after the first bedside device turns on the target noise reduction mode, each associated bedside device can detect the second amplitude in real time in the corresponding hospital bed area, use the largest second amplitude to determine the target hospital bed area where the noise is generated, perform audio analysis locally in the target hospital bed area to obtain the first spectrum, ensure that the first spectrum can accurately represent the audio parameters of the noise source, and the first bedside device applying the first spectrum and the first amplitude detected locally for active noise reduction can ensure the elimination of the target noise, improving the noise reduction flexibility and the patient experience.

[0053] First, refer to Figure 1 , Figure 1 which is a schematic diagram of the ward area provided by the embodiment of the present invention. The ward area of this embodiment includes multiple bedside devices 40. In the ward area, the area corresponding to each hospital bed is the hospital bed area. As Figure 1 shown, taking a ward shared by 3 patients as an example, the ward area includes a first hospital bed area 10, a second hospital bed area 20, and a third hospital bed area 30. Each hospital bed area is provided with a hospital bed and a bedside device 40. The bedside device 40 can be a common interactive device in the ward. A touch screen and a noise reduction device are integrated in the bedside device 40. The noise reduction device includes a microphone and a speaker. The mode selection is realized by using the touch screen, such as triggering the target noise reduction mode and the second noise reduction mode. The noise reduction device can adopt a conventional active noise reduction device, and no specific structure is limited here.

[0054] It should be noted that each bedside device 40 is usually connected to the Hospital Information System (HIS), so each bedside device 40 can communicate with each other. For example, a wired connection is realized through the network cable buried in the ward, or wireless communication is realized through a wireless network. The specific communication principle is not elaborated here.

[0055] The following further elaborates on the technical solution of the embodiment of the present invention based on the schematic diagram of the ward area shown in Figure 1 Figure 2

[0056] Refer to Figure 2 , Figure 2 Figure 3 is a flowchart of an active noise reduction method based on multi-device linkage provided by an embodiment of the present invention. The active noise reduction method based on multi-device linkage includes but is not limited to the following steps:

[0057] S10. When a trigger signal for the target noise reduction mode is obtained, the first amplitude of the input audio of the first noise reduction device is determined in real time, and a first detection signal is sent to each associated bedside device, so that each associated bedside device feeds back the second amplitude of the input audio of the corresponding associated noise reduction device in real time.

[0058] S20. Based on the second amplitude with the largest value, the second noise reduction device and the second bedside device are determined, and a second detection signal is sent to the second bedside device, and the first spectrum that the second bedside device feeds back in real time in response to the second detection signal is obtained, where the first spectrum is obtained by the second noise reduction device analyzing the corresponding input audio.

[0059] S30. The first spectrum is input into the first noise reduction device, and the first noise reduction device performs active noise reduction based on the first spectrum and the first amplitude.

[0060] It should be noted that the technical solution of this embodiment is applied to the first bedside device. In this embodiment, the bedside device that starts the target noise reduction mode is determined as the first bedside device. As shown in Figure 1 Figure 3, among the three bedside devices 40, when the patient in the first ward area 10 starts the target noise reduction mode through the bedside device 40, the bedside device 40 in the first ward area 10 is the first bedside device of this embodiment, and the bedside devices 40 in the remaining second ward area 20 and third ward area 30 are determined as associated bedside devices. The associated bedside devices in this embodiment are the bedside devices in the same ward, and the bedside devices in other wards are not considered and will not be repeated hereinafter.

[0061] It should be noted that the target noise reduction mode of this embodiment is used to characterize the patient's demand for eliminating the target noise with a relatively large current volume. For example, referring to Figure 1 Figure 3, when the patient in the third ward area 30 plays music, which affects the rest of the patient in the first ward area 10, the patient in the first ward area 10 can start the target noise reduction mode on the first bedside device to eliminate the music sound from the third ward area 30 through the target noise reduction mode. The specific name of the target noise reduction mode in this embodiment is not limited, and as long as it can perform active noise reduction on multiple bedside devices for the noise in non-this-bedside areas according to the principle of this embodiment.

[0062] It should be noted that since each bedside device is provided with a noise reduction device, the input audio can be obtained in real time through the sound pickup device of the noise reduction device. The bedside device is usually configured with a chip and can thus perform simple data processing. In this embodiment, after the noise reduction device obtains the input audio through the sound pickup device, it can automatically identify the audio amplitude. The first bedside device obtains the first amplitude from the first noise reduction device in real time and controls the first noise reduction device not to start active noise reduction temporarily, so as to prevent the first noise reduction device from performing active noise reduction based on the input audio obtained by itself.

[0063] It should be noted that the ward is a connected area, and most sounds can spread throughout the ward. However, the sound will attenuate when propagating in the air. Therefore, the amplitudes of the input audio obtained by the first noise reduction device and each associated noise reduction device are different. For example, the patient in the third hospital bed area 30 is speaking to generate target noise. The associated noise reduction device in the third hospital bed area 30 is closest to the speaking patient, and the input audio obtained is the target noise with almost no attenuation. Therefore, the second amplitude is the largest. During the process of the target noise being transmitted to the first noise reduction device in the first hospital bed area 10, the sound wave attenuates in the air. Therefore, even though the sound source is the same target noise, the first amplitude extracted by the first noise reduction device is smaller than the second amplitude extracted by the associated noise reduction device in the third hospital bed area 30.

[0064] It should be noted that the target noise reduction mode in this embodiment is aimed at the scenario where the noise in other hospital bed areas affects the patients in this hospital bed area. This embodiment does not aim to create a quiet environment in the hospital bed area of the first bedside device through active noise reduction. It only needs to filter out the target noise in other hospital bed areas. The spectra of the prompt sound and the target noise (such as phone call sound, audio playing sound, etc.) in the scenario targeted by this embodiment usually do not overlap, while the spectrum of the input audio obtained by the first noise reduction device includes the spectra of the prompt sounds of various monitoring devices. In this case, if the audio parameters collected by the first noise reduction device are directly used, the first noise reduction device will filter out the prompt sounds of the monitoring devices in the first hospital bed area. This embodiment needs to ensure that the audio parameters used by the first noise reduction device for active noise reduction only include the audio parameters of the target noise. Based on this, after the target noise reduction mode is triggered, taking advantage of the characteristics that multiple bedside devices can communicate with each other and have data processing capabilities, a first detection signal is sent to each associated bedside device to trigger each associated bedside device to detect the second amplitude of the current input audio. According to the above description, when the detected second amplitude is the largest, it can be determined that the corresponding associated bedside device is located in the hospital bed area where the target noise is located, and it is determined as the second bedside device. Since the second bedside device is closest to the noise source, the first spectrum analyzed by the second noise reduction device of the second bedside device can be determined as the first spectrum of the target noise. It is well-known to those skilled in the art to analyze the spectrum from the input audio by the noise reduction device, and thus it will not be elaborated here.

[0065] It should be noted that the first amplitude, the second amplitude, and the first spectrum in this embodiment are all recognized based on continuous input audio. For example, the above parameters are periodically obtained according to the sampling period value. The second bedside device continuously and real-time detects the first spectrum of the input audio, continuously sends the numerically continuous first spectrum to the first bedside device, and the first bedside device continuously and real-time obtains the first amplitude from the input audio. Using the first amplitude and the first spectrum as the audio parameters for active noise reduction by the first noise reduction device, the first noise reduction device can perform active noise reduction based on the sound spectrum detected by the second bedside device in the second hospital bed area at the sound amplitude detected in the first hospital bed area, and accurately filter out the target noise in the second hospital bed area from the sound received in the first hospital bed area.

[0066] It is worth noting that based on the first amplitude and the first spectrum, the first noise reduction device can generate reverse audio according to existing algorithms. For example, the first amplitude and the first spectrum are input into a common adaptive filtering algorithm to generate reverse audio. The principle of active noise reduction will not be elaborated here.

[0067] Exemplarily, as Figure 1 shown, the first bedside device is located in the first hospital bed area 10. The patient in the first hospital bed area 10 is the first patient, and the patient in the third hospital bed area 30 is the second patient. When the second patient turns on the speaker to play a video in the third hospital bed area 30 and the audio volume of the video is relatively large, which affects the rest of the first patient, after the first patient activates the target noise reduction mode in the first bedside device, the first bedside device sends the first detection information to the associated bedside devices in the second hospital bed area 20 and the third hospital bed area 30. The associated bedside device in the second hospital bed area 20 receives the audio sound from the third hospital bed area 30 to form a second amplitude, and the associated bedside device in the third hospital bed area 30 receives the audio sound in this area to form a second amplitude. And the second amplitude corresponding to the third hospital bed area 30 is greater than the second amplitude corresponding to the second hospital bed area 20. The associated bedside device in the third hospital bed area 30 is determined as the second bedside device. The first spectrum of the input audio in the third hospital bed area 30 is obtained through the second bedside device. Since the second bedside device is the closest to the video playback device of the second patient, the first spectrum can be used as the audio spectrum played by the video playback device. After being sent to the first bedside device, the first bedside device performs active noise reduction in combination with the first spectrum based on the currently detected first amplitude, so that the generated reverse audio can cover the audio spectrum played by the video playback device, and the amplitude of the reverse audio is equal to the first amplitude transmitted to the first hospital bed area 10, thereby achieving precise active noise reduction of specific noise.

[0068] In addition, in one embodiment, referring to Figure 3 , step S10 specifically includes but is not limited to the following steps:

[0069] S11. Determine the sampling start time based on the current time and a preset time redundancy value, construct a first detection signal based on the sampling start time and a preset sampling period, and send it to each associated bedside device.

[0070] S12. Start the first noise reduction device based on the sampling start time, periodically obtain a plurality of first slices from the input audio of the first noise reduction device based on the sampling period, and determine the first amplitude of each first slice.

[0071] S13. Obtain the second amplitude of the second slice periodically fed back by the associated bedside device, where the second slice is periodically obtained from the input audio of the corresponding associated noise reduction device by the corresponding associated bedside device based on the sampling period after starting the corresponding associated noise reduction device based on the sampling start time.

[0072] S14. Classify the first amplitude and multiple second amplitudes collected at the same time into the same amplitude group.

[0073] It should be noted that in this embodiment, the second bedside device is determined by comparing multiple second amplitudes. When actively reducing noise, the first spectrum and the first amplitude are also required to be used simultaneously. Therefore, it is necessary to ensure that the first bedside device and each associated bedside device can collect data at the same time. Since it takes a certain amount of time for the associated bedside device to receive and respond to the first detection signal, the first bedside device can determine the sampling start time based on the current time and the time redundancy value, delay the start of the collection, so that the associated bedside device can obtain the sampling start time after receiving the first detection signal, and each bedside device can be configured with the same sampling start time to ensure that the input audio is obtained simultaneously.

[0074] It should be noted that if the comparison is only made based on the second amplitude collected at one moment, it is very likely to cause misidentification due to sudden noises. For example Figure 1 a patient in the second hospital bed area 20 accidentally drops an item, making a loud noise and being determined as the second bedside device, while the patient actually playing the audio continuously is in the third hospital bed area 30. The first spectrum obtained by the incorrect second bedside device may not be able to cover the noisy audio, resulting in poor noise reduction effect. The target noise in this embodiment usually lasts for a period of time, so the second amplitude can be continuously collected multiple times for comparison to ensure the accuracy of the second bedside device. Based on this, after starting the target noise reduction mode in this embodiment, a preset sampling period is carried in the first detection signal, so that each bedside device can start sampling with the same sampling start time and obtain slices from the corresponding input audio with the same sampling period.

[0075] It should be noted that after the first headboard device starts the first noise reduction device, it obtains the first slice from the input audio according to the sampling period. Similarly, the associated headboard device obtains the second slice. The corresponding headboard device can identify the corresponding amplitude value from the audio slice, that is, the first headboard device determines the first amplitude value from the first slice, and the associated headboard device determines the second amplitude value from the second slice and feeds the second amplitude value back to the first headboard device. It can use multiple headboard devices to cooperate to determine the corresponding audio amplitude value, and only transmit the second amplitude value instead of the second slice, reducing the amount of communication data and improving the cooperation efficiency of multiple devices.

[0076] It should be noted that when the sampling start time and the sampling period are the same, the first amplitude value and the second amplitude value can be grouped into the same amplitude group for storage based on the same moment, which is convenient for subsequent data analysis.

[0077] In addition, in an embodiment, referring to Figure 3 , in step S20, the second noise reduction device and the second headboard device are determined based on the second amplitude value with the largest value, which specifically includes but is not limited to the following steps:

[0078] S21, sort the multiple amplitude groups according to the acquisition time and traverse the amplitude groups one by one;

[0079] S22, whenever an amplitude group is traversed, determine the first difference value based on the second amplitude value with the largest value and the first amplitude value, and determine the corresponding second difference values based on the first amplitude value and each of the remaining second amplitude values;

[0080] S23, when both the first amplitude value and the second amplitude value of the amplitude group are greater than the preset first threshold, add the first identifier to the corresponding amplitude group;

[0081] S24, when the numerical differences between the first difference value and each of the second difference values of the amplitude group are all less than the preset second threshold, add the second identifier to the corresponding amplitude group, where the second threshold is less than the first threshold;

[0082] S25, when the number of amplitude groups continuously having the first identifier and the second identifier reaches the preset number threshold, and the second amplitude value with the largest value comes from the same associated headboard device, determine the corresponding associated headboard device as the second headboard device and determine the corresponding second noise reduction device.

[0083] It should be noted that according to the description of the above embodiment, in order to accurately locate the second headboard device, in this embodiment, the multiple amplitude groups are sorted according to the acquisition order and traversed one by one. In each amplitude group, the first difference value is obtained by subtracting the first amplitude value from the second amplitude value with the largest value, and the second difference values are determined from the first amplitude value and each of the remaining second amplitude values.

[0084] Exemplarily, such as Figure 1As shown, after obtaining the amplitude A of the first hospital bed area 10, the amplitude B of the second hospital bed area 20, and the amplitude C of the third hospital bed area 30, taking the amplitude C being greater than the amplitude B as an example, the first difference is amplitude C - amplitude A, and the second difference is amplitude B - amplitude A.

[0085] It should be noted that if both the first amplitude and the second amplitude are greater than the first threshold, the audio volume received by the associated bedside device is relatively large. The second amplitude recorded in this amplitude group includes the amplitude of the target noise, and a first identifier is added to indicate that this amplitude group is a valid amplitude group.

[0086] It should be noted that if the numerical difference between the first difference and the second difference is less than the second threshold, taking the above example, it can be determined that the target noise changes less after being transmitted from the third hospital bed area 30 to the second hospital bed area 20 and the first hospital bed area 10. The target noise will clearly be transmitted from the third hospital bed area 30 to the first hospital bed area 10, causing greater interference to the patient in the first hospital bed area 10. A second identifier is added to the amplitude group to indicate the urgency of performing noise reduction processing. If the first patient in the first hospital bed area 10 turns on the target noise reduction mode and the second patient in the third hospital bed area 30 reduces the volume, although there will still be sound transmitted to the first hospital bed area 10, the audio energy of the lower volume is smaller and attenuates more during propagation, and it may not necessarily cause interference to the first patient. Numerically, it is reflected that the numerical difference between the first difference and the second difference is greater than the second threshold. The specific values of the first threshold and the second threshold can be set according to the requirements for noise reduction sensitivity and will not be further limited here.

[0087] In addition, in an embodiment, referring to Figure 3 , step S22 specifically includes but is not limited to the following steps:

[0088] S221, determine the associated bedside device corresponding to the second amplitude with the largest value as the candidate bedside device, and determine the remaining associated bedside devices as the third bedside devices;

[0089] S222, when the third bedside device is between the candidate bedside device and the first bedside device, subtract the first amplitude from the second amplitude of the third bedside device to obtain the second difference;

[0090] S223, when the first bedside device is between the third bedside device and the candidate bedside device, subtract the second amplitude of the third bedside device from the first amplitude to obtain the second difference.

[0091] It should be noted that within an amplitude group, in this embodiment, the candidate head device is first determined according to the second amplitude with the largest value, and the remaining associated head devices are determined as the third head devices. Of course, if there are only two hospital beds in the ward, the steps of this embodiment can be omitted to directly determine the second head device, but in this case, the number of hospital beds in the ward needs to be preset for each head device; alternatively, the technical solution of this embodiment can still be executed to unify the active noise reduction process without setting the number of hospital beds. In step S221, the third head device will not be determined, and the candidate head device will be directly determined as the second head device. The specific method can be selected according to actual needs.

[0092] It should be noted that since the first head device can be any head device in the ward that initiates the target noise reduction mode, multiple hospital beds in a common ward are arranged side by side. As Figure 1 shown, if the patient in the first hospital bed area 10 initiates the target noise reduction mode, the head device in this area is the first head device. Similarly, if the patient in the second hospital bed area 20 initiates the target noise reduction mode, the head device in this area is the first head device. Therefore, the first head device can be located between the third head device and the candidate head device, or the first head device is located at the farthest end.

[0093] It should be noted that in step S222, the third head device is closer to the candidate head device than the first head device. Therefore, the second amplitude of the third head device is greater than the first amplitude, and the second difference is obtained by subtracting the first amplitude from the second amplitude. Similarly, in step S223, the first head device is closer to the candidate head device than the third head device, and the first amplitude is greater than the second amplitude of the third head device. The second difference is obtained by subtracting the second amplitude from the first amplitude.

[0094] In addition, in one embodiment, referring to Figure 3 , after step S30 is executed, it further includes but is not limited to the following steps:

[0095] S31, obtaining the second amplitude of the second head device in real time and determining it as the reference amplitude;

[0096] S32, determining the associated head devices other than the second head device as the fourth head devices, sending the real-time obtained first amplitude and the reference amplitude to the fourth head devices, and obtaining the third amplitude of the real-time input audio through the third noise reduction device of the fourth head devices;

[0097] S33, when the second spectrum sent by the fourth head device is obtained, determining the target spectrum based on the second spectrum and the first spectrum, and performing active noise reduction based on the target spectrum and the first amplitude, where the second spectrum is parsed from the real-time input audio by the fourth head device controlling the third noise reduction device when the third amplitude meets the preset conditions;

[0098] Among them, the preset conditions include at least one of the following:

[0099] The third amplitude is greater than or equal to the reference amplitude;

[0100] When the fourth bedside device is located between the first bedside device and the second bedside device, the difference between the fourth difference and the third difference is greater than a preset third threshold, where the third difference is the difference between the reference amplitude and the third amplitude, and the fourth difference is the difference between the third amplitude and the first amplitude;

[0101] When the first bedside device is located between the fourth bedside device and the second bedside device, the fourth difference is greater than or equal to the fifth difference, where the fifth difference is the difference between the reference amplitude and the first amplitude.

[0102] It should be noted that after step S30 is executed, active noise reduction can already be performed on the target noise in the hospital bed area corresponding to the second bedside device. However, the number of noise sources in the ward cannot be ensured. If patients in another hospital bed area also start to emit relevant noises. In this embodiment, the second amplitude is further determined as the reference amplitude. When maintaining active noise reduction by continuously obtaining the first spectrum fed back by the second bedside device, the remaining associated bedside devices are determined as the fourth bedside device, and the first amplitude and the reference amplitude are sent to the fourth bedside device. After obtaining the first amplitude and the reference amplitude, the fourth bedside device triggers a noise recognition process. When the preset conditions are met, it can be determined that the area corresponding to the fourth bedside device generates noise that affects the patient corresponding to the first bedside device. According to the principle of the above-mentioned second bedside device, the second spectrum is sent to the first bedside device, so that the first bedside device can dynamically adjust the target spectrum and then continue active noise reduction to filter out the noises emitted from the two hospital bed areas respectively.

[0103] It should be noted that the first bedside device occupies relatively more resources during the process of performing active noise reduction. By using the fourth bedside device for recognition, the idle resources of the bedside device can be effectively utilized. The first bedside device only needs to update the target spectrum and then maintain active noise reduction, without causing excessive resource occupation. The first amplitude detected in real time also includes the noise in the hospital bed area corresponding to the fourth bedside device. Therefore, it can ensure that the noise filtering meets the requirements.

[0104] Exemplarily, such as Figure 1As shown in the figure, taking the first hospital bed area 10 corresponding to the first head device and the third hospital bed area 30 corresponding to the second head device as an example, the second hospital bed area 20 corresponds to the fourth head device. After the first head device starts active noise reduction, it sends the amplitude A and amplitude C to the fourth head device. The fourth head device uses the third noise reduction device to detect the amplitude B of the input audio in real time, so that the target noise reduction mode of the first head device can use the computing resources of the fourth head device. After the detected amplitude B meets the preset conditions, the second spectrum is obtained and sent to the first head device. After the first head device fuses the second spectrum and the first spectrum, it continues to perform active noise reduction. Since the noise reduction spectrum can cover two hospital bed areas, the effect of active noise reduction can be ensured.

[0105] It should be noted that multiple preset conditions are proposed in this embodiment, and it is sufficient to meet at least one of them. If the third amplitude is greater than the reference amplitude, it can be ensured that the noise in the hospital bed area corresponding to the fourth head device is greater than the noise in the hospital bed area corresponding to the second head device, and active noise reduction needs to be performed.

[0106] It should be noted that when the fourth head device is located between the first head device and the second head device, the third difference is the difference between the reference amplitude and the third amplitude, and the fourth difference is the difference between the third amplitude and the first amplitude. If the difference between the third difference and the fourth difference is less than the preset third threshold, it can be determined that noise has occurred in the hospital bed area corresponding to the fourth head device, making the difference in the sound amplitudes detected by each head device relatively small. As Figure 1 shown, taking the noise in the third hospital bed area 30 as the first noise and the noise in the second hospital bed area 20 as the second noise as an example, if there is no second noise, the input audio of the fourth head device and the first head device both correspond to the first noise. Since the attenuation amplitude of the sound increases with the distance, the difference between the third difference and the fourth difference is relatively large. If there is a second noise, the input audio of each head device includes the first noise and the second noise. The second noise attenuates before entering the second noise reduction device, and the first noise attenuates before entering the third noise reduction device. Since the distances between them are the same, it can be determined that the values of the reference amplitude and the third amplitude are relatively close. However, both noises received by the first noise reduction device have been attenuated, so the value of the fourth difference must be greater than the third difference. If the difference between the two is greater than the third threshold, it can be determined that the third amplitude is very close to the reference amplitude, and the second hospital bed area 20 emits the second noise, and active noise reduction needs to be performed for the second noise.

[0107] It should be noted that when the first head device is located between the fourth head device and the second head device, and the first noise and the second noise come from both sides of the first head device respectively, if the fourth difference is greater than the fifth difference, it can be determined that the third amplitude is greater than the reference amplitude, and noise reduction needs to be performed.

[0108] In addition, in one embodiment, referring to Figure 3 , after step S32 is executed, the following steps are included but not limited to:

[0109] S321, sending the first spectrum to the fourth bedside device;

[0110] S322, when the fourth bedside device activates the target noise reduction mode, performing active noise reduction based on the first spectrum and the third amplitude.

[0111] It should be noted that after step S32 is executed, the first bedside device activates active noise reduction through the first-stage noise reduction device. The second bedside device is a noise source, so active noise reduction is not considered. When sending the reference amplitude and the first amplitude, the first spectrum is also synchronously sent to the fourth bedside device in real time. If the fourth bedside device activates the target noise reduction mode, it can directly start active noise reduction according to the first spectrum and the third amplitude detected in real time, without performing the previous judgment process, realizing the rapid start of the noise reduction mode through multi-device information sharing, improving the noise reduction efficiency, and reducing the repeated data processing process.

[0112] In addition, in one embodiment, referring to Figure 3 , the first bedside device is communicatively connected to the hospital information system. In step S20, before obtaining the first spectrum that the second bedside device responds to the second detection signal and feeds back in real time, the method further includes:

[0113] S26, querying the hospital information system by the second bedside device based on the preset target patient information to determine at least one target monitoring device;

[0114] S27, obtaining the target device frequency band of the target monitoring device from the preset frequency band mapping table, where the frequency band mapping table records the mapping relationship between the monitoring device and the device frequency band;

[0115] S28, deleting each target device frequency band from the first spectrum.

[0116] It should be noted that according to the steps of the above embodiment, the first spectrum is the audio spectrum of the input audio received by the second noise reduction device, and monitoring devices may also be set in the hospital bed area corresponding to the second bedside device, and the monitoring devices of different patients in the same ward may be the same, such as Figure 1As shown, if the privacy curtain commonly used in hospital beds is drawn in the third hospital bed area 30, the sound of the monitoring device is relatively low and may not necessarily be transmitted to the first hospital bed area 10 under the shielding effect of the privacy curtain, but it will be transmitted to the second noise reduction device. If the complete first frequency spectrum is directly used, in the case where the same monitoring device is deployed in the first hospital bed area 10, it may filter out the sound of the monitoring device and affect the normal monitoring of the patients in the first hospital bed area 10. Each bedside device will be connected to the hospital's Hospital Information System (HIS), and the corresponding patient information will be entered into the bedside device at the time of admission. After the second bedside device of this embodiment obtains the second detection signal, it queries the HIS according to the bound target patient information to determine at least one target monitoring device. The audio frequency band of the monitoring device is known or can be pre-tested, so a frequency band mapping table can be set in advance, and the target device frequency band can be determined by looking up the table, and the target device frequency band is deleted from the first frequency spectrum to avoid filtering the sound of the monitoring device.

[0117] As Figure 4 shown, Figure 4 is a structural diagram of an active noise reduction device based on multi-device linkage provided by an embodiment of the present invention. The present invention also provides an active noise reduction device based on multi-device linkage, including:

[0118] A processor 401, which can be implemented in a general-purpose central processing unit (CPU), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits, etc., and is used to execute related programs to implement the technical solutions provided by the embodiments of the present application;

[0119] A memory 402, which can be implemented in the form of a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM), etc. The memory 402 can store an operating system and other application programs. When implementing the technical solutions provided by the embodiments of this specification through software or firmware, the relevant program codes are stored in the memory 402 and are called by the processor 401 to execute the active noise reduction method based on multi-device linkage of the embodiments of the present application;

[0120] An input / output interface 403, which is used to implement information input and output;

[0121] A communication interface 404, which is used to implement communication and interaction between this device and other devices, and can implement communication through wired means (such as USB, network cable, etc.) or wireless means (such as mobile network, WIFI, Bluetooth, etc.);

[0122] A bus 405 transmits information between various components of the device, such as a processor 401, a memory 402, an input / output interface 403, and a communication interface 404.

[0123] Among them, the processor 401, the memory 402, the input / output interface 403, and the communication interface 404 achieve communication connections with each other inside the device through the bus 405.

[0124] An embodiment of the present application further provides an electronic device, including the active noise reduction device based on multi-device linkage as described above.

[0125] An embodiment of the present application further provides a storage medium, which is a computer-readable storage medium. The storage medium stores a computer program, and when the computer program is executed by a processor, it implements the above-mentioned active noise reduction method based on multi-device linkage.

[0126] As a non-transitory computer-readable storage medium, the memory can be used to store non-transitory software programs and non-transitory computer-executable programs. In addition, the memory may include high-speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, a flash memory device, or other non-transitory solid-state storage devices. In some embodiments, the memory may optionally include a memory remotely located relative to the processor, and these remote memories can be connected to the processor through a network. Examples of the above networks include but are not limited to the Internet, an enterprise intranet, a local area network, a mobile communication network, and combinations thereof. The device embodiments described above are merely illustrative, and the units described as separate components may or may not be physically separated, and may be located in one place, or may be distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0127] Those of ordinary skill in the art will appreciate that all or some of the steps and systems disclosed above can be implemented as software, firmware, hardware, and appropriate combinations thereof. Some or all of the physical components can be implemented as software executed by a processor, such as a central processing unit, a digital signal processor, or a microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software can be distributed on a computer-readable medium, which can include a computer storage medium (or non-transitory medium) and a communication medium (or transitory medium). As is well known to those of ordinary skill in the art, the term computer storage medium includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information, such as computer-readable instructions, data structures, program modules, or other data. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to store the desired information and can be accessed by a computer. In addition, it is well known to those of ordinary skill in the art that communication media typically includes computer-readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transmission mechanism, and can include any information delivery media.

[0128] The above is a specific description of the preferred embodiments of the present invention, but the present invention is not limited to the above embodiments. Those skilled in the art can also make various equivalent deformations or substitutions without departing from the spirit of the present invention, and these equivalent deformations or substitutions are all included within the scope defined by the claims of the present invention.

Claims

1. An active noise reduction method based on multi-device linkage, characterized in that Applied to a first headboard device, the first headboard device is communicatively connected to a plurality of associated headboard devices. The first headboard device is provided with a first noise reduction device, and the associated headboard devices are provided with associated noise reduction devices. The first headboard device and each of the associated headboard devices respectively correspond to a hospital bed area. The method includes: When a trigger signal of a target noise reduction mode is obtained, the first amplitude of the input audio of the first noise reduction device is determined in real time, and a first detection signal is sent to each of the associated headboard devices, so that each of the associated headboard devices can feedback the second amplitude of the input audio of the corresponding associated noise reduction device in real time; Based on the second amplitude with the largest value, a second noise reduction device and a second headboard device are determined, and a second detection signal is sent to the second headboard device, and the first spectrum obtained by the second noise reduction device parsing the corresponding input audio in response to the second detection signal is obtained; The first spectrum is input into the first noise reduction device, and the first noise reduction device performs active noise reduction based on the first spectrum and the first amplitude.

2. The active noise reduction method based on multi-device linkage according to claim 1, wherein Determining the first amplitude of the input audio of the first noise reduction device in real time, and sending a first detection signal to each of the associated headboard devices, so that each of the associated headboard devices can feedback the second amplitude of the input audio of the corresponding associated noise reduction device in real time, includes: Based on the current moment and a preset time redundancy value, a sampling start moment is determined, and based on the sampling start moment and a preset sampling period, the first detection signal is constructed and sent to each of the associated headboard devices; Based on the sampling start moment, the first noise reduction device is started, and based on the sampling period, a plurality of first slices are periodically obtained from the input audio of the first noise reduction device, and the first amplitude of each first slice is determined; The second amplitude of the second slice periodically feedback by the associated headboard device is obtained, where the second slice is periodically obtained from the input audio of the corresponding associated noise reduction device by the corresponding associated headboard device after starting the corresponding associated noise reduction device based on the sampling start moment; The first amplitude and a plurality of the second amplitudes collected at the same moment are grouped into the same amplitude group.

3. The active noise reduction method based on multi-device linkage according to claim 2, wherein Determining the second noise reduction device and the second headboard device based on the second amplitude with the largest value includes: Sorting the plurality of amplitude groups according to the collection time, and traversing the amplitude groups one by one; Whenever an amplitude group is traversed, a first difference is determined based on the second amplitude with the largest value and the first amplitude, and a corresponding second difference is determined based on the first amplitude and each remaining second amplitude; When the first amplitude and the second amplitude of the amplitude group are both greater than a preset first threshold, a first identifier is added to the corresponding amplitude group; When the numerical difference between the first difference of the amplitude group and each of the second differences is less than a preset second threshold, a second identifier is added to the corresponding amplitude group, where the second threshold is less than the first threshold; When the number of the amplitude groups continuously having the first identifier and the second identifier reaches a preset number threshold, and the second amplitude with the largest value comes from the same associated headboard device, determine the corresponding associated headboard device as the second headboard device, and determine the corresponding second noise reduction device.

4. The active noise reduction method based on multi-device linkage according to claim 3, wherein Based on the first amplitude and each of the remaining second amplitudes, respectively determine the corresponding second difference, including: Determine the associated headboard device corresponding to the second amplitude with the largest value as the candidate headboard device, and determine the remaining associated headboard devices as the third headboard devices; When the third headboard device is between the candidate headboard device and the first headboard device, subtract the first amplitude from the second amplitude of the third headboard device to obtain the second difference; Or, when the first headboard device is between the third headboard device and the candidate headboard device, subtract the second amplitude of the third headboard device from the first amplitude to obtain the second difference.

5. The active noise reduction method based on multi-device linkage according to any one of claims 1 to 4, characterized in that, After performing active noise reduction by the first noise reduction device based on the first spectrum and the first amplitude, the method further includes: Obtain the second amplitude of the second headboard device in real time and determine it as the reference amplitude; Determine the associated headboard devices other than the second headboard device as the fourth headboard devices, send the obtained first amplitude and the reference amplitude to the fourth headboard devices, and obtain the third amplitude of the real-time input audio through the third noise reduction device of the fourth headboard devices; When obtaining the second spectrum sent by the fourth headboard device, determine the target spectrum based on the second spectrum and the first spectrum, and perform active noise reduction based on the target spectrum and the first amplitude, where the second spectrum is parsed from the real-time input audio by the third noise reduction device controlled by the fourth headboard device when the third amplitude meets a preset condition; Wherein, the preset condition includes at least one of the following: The third amplitude is greater than or equal to the reference amplitude; When the fourth headboard device is between the first headboard device and the second headboard device, the difference between the fourth difference and the third difference is greater than a preset third threshold, where the third difference is the difference between the reference amplitude and the third amplitude, and the fourth difference is the difference between the third amplitude and the first amplitude; When the first headboard device is between the fourth headboard device and the second headboard device, the fourth difference is greater than or equal to the fifth difference, where the fifth difference is the difference between the reference amplitude and the first amplitude.

6. The active noise reduction method based on multi-device linkage according to claim 5, wherein After obtaining the third amplitude of the real-time input audio through the third noise reduction device of the fourth headboard device, the method further includes: Send the first spectrum to the fourth headboard device; When the fourth headboard device activates the target noise reduction mode, perform active noise reduction based on the first spectrum and the third amplitude.

7. The active noise reduction method based on multi-device linkage according to claim 1, wherein The second headboard device is communicatively connected to the hospital information system. Before obtaining the first spectrum that the second headboard device responds to the second detection signal and feeds back in real time, the method further includes: The second headboard device queries the hospital information system based on preset target patient information to determine at least one target monitoring device; Obtain the target device frequency band of the target monitoring device from a preset frequency band mapping table, where the frequency band mapping table records the mapping relationship between the monitoring device and the device frequency band; Delete each of the target device frequency bands in the first spectrum.

8. An active noise reduction device based on multi-device linkage, characterized in that, Comprising at least one control processor and a memory communicatively connected to the at least one control processor; the memory stores instructions executable by the at least one control processor, and the instructions are executed by the at least one control processor to enable the at least one control processor to execute the multi-device linkage-based active noise reduction method according to any one of claims 1 to 7.

9. An electronic device, characterized in that, Comprising the multi-device linkage-based active noise reduction device according to claim 8.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions for causing a computer to execute the multi-device linkage-based active noise reduction method according to any one of claims 1 to 7.

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