Active noise reduction method and device based on multi-device linkage, device and storage medium

Abstract

The invention provides an active noise reduction method and device based on multi-device linkage, equipment and a storage medium, and the method comprises the steps: determining a first amplitude of an input audio of a first noise reduction device in real time after a first bedside device starts a target noise reduction mode, and transmitting a first detection signal to each associated bedside device, detecting a second amplitude in a corresponding sickbed area in real time through each associated bedside device, determining the sickbed area generating a noise source by using the second amplitude with the maximum value, further determining a corresponding second bedside device, and obtaining a first frequency spectrum through audio analysis of the second bedside device in the corresponding sickbed area; it is ensured that the first spectrum can accurately represent the audio parameter of the noise source, the first bedside equipment performs active noise reduction by applying the first spectrum and the locally detected first amplitude, it can be ensured that target noise is eliminated, and noise reduction flexibility and patient experience are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of active noise reduction, and particularly relates 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 active noise reduction devices in each bed area. The noise reduction device detects external noise and generates reverse sound waves with opposite audio parameters, and realizes active noise reduction by playing the direction sound waves, 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 reverse sound waves according to all the input audio to cover all the external audio, which results in the easy omission of some important sounds (such as the alarm sound of the monitoring device) 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 multiple 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: 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; 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 responds to the second detection signal and feedbacks in real time 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.

[0007] 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: 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; 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; 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 based on the sampling period; The first amplitude and a plurality of the second amplitudes collected at the same moment are classified into the same amplitude group.

[0008] 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: Sort the plurality of amplitude groups according to the collection moment, and traverse 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 corresponding second differences are determined based on the first amplitude and each of the remaining second amplitudes; 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; When the numerical differences between the first difference of the amplitude group and each of the second differences are all smaller than a preset second threshold, add a second identifier to the corresponding amplitude group, where the second threshold is smaller than the first threshold; 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 head device, determine the corresponding associated head device as the second head device and determine the corresponding second noise reduction device.

[0009] According to some embodiments of the present invention, determining the corresponding second difference based on the first amplitude and each of the remaining second amplitudes includes: Determine the associated head device corresponding to the second amplitude with the largest value as the candidate head device, and determine the remaining associated head devices as the third head devices; When the third head device is located between the candidate head device and the first head device, subtract the first amplitude from the second amplitude of the third head device to obtain the second difference; Alternatively, when the first head device is located between the third head device and the candidate head device, subtract the second amplitude of the third head device from the first amplitude to obtain the second difference.

[0010] According to some embodiments of the present invention, after the first noise reduction device performs active noise reduction based on the first spectrum and the first amplitude, the method further includes: Obtain the second amplitude of the second head device in real time and determine it as the reference amplitude; Determine the associated head devices other than the second head device as the fourth head devices, send the first amplitude and the reference amplitude obtained in real time to the fourth head devices, and obtain the third amplitude of the real-time input audio through the third noise reduction devices of the fourth head devices; When the second spectrum sent by the fourth head device is obtained, 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 fourth head device controlling the third noise reduction 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 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; 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.

[0011] 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: Sending the first spectrum to the fourth bedside device; When the fourth bedside device activates the target noise reduction mode, active noise reduction is performed based on the first spectrum and the third amplitude.

[0012] 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 responds to the second detection signal and feeds back in real time, the method further includes: Querying the hospital information system by the second bedside device based on preset target patient information to determine at least one target monitoring device; Obtaining 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; Deleting each of the target device frequency bands from the first spectrum.

[0013] In a 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 the instructions are executed by the at least one control processor so that the at least one control processor can execute the active noise reduction method based on multi-device linkage as described in the first aspect above.

[0014] In a 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.

[0015] In a 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.

[0016] The active noise reduction method based on multi-device linkage according to an embodiment of the present invention 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; the second noise reduction device and the second bedside device are determined based on the largest second amplitude, 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; 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 embodiment of the present invention, after the first bedside device activates 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. 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

[0017] Figure 1 is a schematic diagram of a ward area provided by an embodiment of the present invention; Figure 2 is a flowchart of an active noise reduction method based on multi-device linkage provided by another embodiment of the present invention; Figure 3 is a complete flowchart of an active noise reduction method based on multi-device linkage provided by another embodiment of the present invention; Figure 4 is a structural diagram of an active noise reduction device based on multi-device linkage provided by another embodiment of the present invention. Detailed Embodiments

[0018] The embodiments of the present invention will be described in detail below. The examples of the embodiments are shown in the drawings, where the same or similar reference numerals denote 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 drawings are exemplary and are only used to explain the present invention and should not be construed as a limitation to the present invention.

[0019] In the description of the present invention, it should be understood that when it comes to orientation descriptions, such as the orientations or positional relationships indicated by up, down, front, back, left, right, etc., they are based on the orientations or positional relationships shown in the drawings. This 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. Therefore, it should not be construed as a limitation to the present invention.

[0020] In the description of the present invention, the meaning of "several" is one or more, the meaning of "multiple" is more than two. Understandings such as "greater than", "less than", "exceeding", etc. do not include the recited number, and understandings such as "above", "below", "within", etc. include the recited number. If there is a description of "first" and "second", it is only for the purpose of distinguishing technical features and cannot 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.

[0021] 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. 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.

[0022] The embodiments of the present invention provide 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, 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 head devices, so that each of the associated head 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 head device are determined, and a second detection signal is sent to the second head device, and the first spectrum that the second head 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 head device turns on the target noise reduction mode, each associated head device can detect the second amplitude in real time in the corresponding hospital bed area, and use the largest second amplitude value to determine the target hospital bed area where the noise is generated. 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 head 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.

[0023] First, refer to Figure 1 , Figure 1Schematic diagram of a ward area provided in an embodiment of the present invention. The ward area of ​​this embodiment includes a plurality of bedside devices 40. In the ward area, the area corresponding to each bed is a bed area, such as Figure 1 As shown, taking a ward shared by three patients as an example, the ward area includes a first bed area 10, a second bed area 20 and a third bed area 30. Each bed area is provided with a bed and a bedside device 40. The bedside device 40 may 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 touch screen is used to realize mode selection, such as triggering a target noise reduction mode and a second noise reduction mode. The noise reduction device may adopt a conventional active noise reduction device, and no limitation is made to the specific structure here.

[0024] It should be noted that each bedside device 40 is usually connected to a hospital information system (HIS), so each bedside device 40 can communicate with each other, for example, through a wired connection through a network cable pre-buried in the ward, or through wireless communication through a wireless network. The specific communication principle will not be elaborated here.

[0025] The following is based on the Figure 1 The schematic diagram of the ward area shown is used to further illustrate the technical solution of the embodiment of the present invention.

[0026] Reference Figure 2 , Figure 2 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: S10, when a trigger signal of the target noise reduction mode is obtained, a 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 a second amplitude of the input audio of the corresponding associated noise reduction device in real time; S20, determining a second noise reduction device and a second bedside device based on the second amplitude with the largest value, sending a second detection signal to the second bedside device, and obtaining a first spectrum fed back in real time by the second bedside device in response to the second detection signal, wherein the first spectrum is obtained by parsing the corresponding input audio by the second noise reduction device; S30, inputting the first frequency spectrum into a first noise reduction device, and performing active noise reduction based on the first frequency spectrum and the first amplitude through the first noise reduction device.

[0027] 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. Figure 1As shown in the figure, among the three bedside devices 40, when the patient in the first hospital bed area 10 activates the target noise reduction mode through the bedside device 40, the bedside device 40 in the first hospital bed area 10 is the first bedside device of this embodiment, and the remaining bedside devices 40 in the second hospital bed area 20 and the third hospital bed area 30 are determined as associated bedside devices. The associated bedside devices of 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.

[0028] It should be noted that the target noise reduction mode of this embodiment is used to represent the patient's demand for eliminating the target noise with a relatively large current volume. For example, referring to Figure 1 , when the patient in the third hospital bed area 30 plays music, which affects the rest of the patient in the first hospital bed area 10, the patient in the first hospital bed area 10 can activate the target noise reduction mode on the first bedside device to eliminate the music sound from the third hospital bed 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 actively reduce the noise of multiple bedside devices in non-this hospital bed area according to the principle of this embodiment.

[0029] 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, so simple data processing can be performed. 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 according to the input audio it obtains itself.

[0030] It is worth noting that the ward is a connected area, and most sounds can spread throughout the ward, but the sound will attenuate when spreading 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, when the patient in the third hospital bed area 30 is speaking and generating target noise, the associated noise reduction device in the third hospital bed area 30 is the 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 if 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.

[0031] 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 playback sound, etc.) in the scenario targeted by this embodiment usually do not overlap. However, 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, by utilizing 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 the 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. The technique of analyzing the spectrum from the input audio by the noise reduction device is well-known to those skilled in the art and will not be elaborated here.

[0032] 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 and continuously sends the numerically continuous first spectrum to the first bedside device. The first bedside device continuously and real-time obtains the first amplitude from the input audio and uses the first amplitude and the first spectrum as the audio parameters for the active noise reduction of the first noise reduction device, so that the first noise reduction device can perform active noise reduction at the sound amplitude detected in the first hospital bed area with the sound spectrum detected by the second bedside device in the second 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.

[0033] It is worth noting that based on the first amplitude and the first spectrum, the first noise reduction device can generate a 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 a reverse audio. The principle of active noise reduction will not be elaborated here.

[0034] Exemplarily, such as Figure 1As shown, the first head 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 in the third hospital bed area 30 to play a video and the audio volume of the video is too loud and affects the rest of the first patient, after the first patient activates the target noise reduction mode in the first head device, the first head device sends the first detection information to the associated bed devices in the second hospital bed area 20 and the third hospital bed area 30. The associated head 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 head 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 head device in the third hospital bed area 30 is determined as the second head device. The first spectrum of the input audio in the third hospital bed area 30 is obtained through the second head device. Since the second head 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 head device, the first head device performs active noise reduction by combining the first spectrum on the basis of 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 for specific noises.

[0035] In addition, in one embodiment, referring to Figure 3 , step S10 specifically includes but is not limited to the following steps: S11, determining the sampling start time based on the current time and a preset time redundancy value, and constructing a first detection signal based on the sampling start time and a preset sampling period and sending it to each associated head device; S12, starting the first noise reduction device based on the sampling start time, periodically obtaining a plurality of first slices from the input audio of the first noise reduction device based on the sampling period, and determining the first amplitude of each first slice; S13, obtaining the second amplitude of the second slice periodically fed back by the associated head device, where the second slice is periodically obtained from the input audio of the corresponding associated noise reduction device by the corresponding associated head device based on the sampling start time after starting the corresponding associated noise reduction device based on the sampling period; S14, classifying the first amplitude and a plurality of second amplitudes collected at the same time into the same amplitude group.

[0036] It should be noted that in this embodiment, the second bedside device is determined through multiple second amplitude comparisons. 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 moment. 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 moment and the time redundancy value, and delay the start of collection, so that the associated bedside device can obtain the sampling start time after receiving the first detection signal. Each bedside device can be configured with the same sampling start time to ensure that the input audio is obtained simultaneously.

[0037] It should be noted that if the second amplitude collected at only one moment is used for comparison, it is very likely to cause misidentification due to sudden sounds. For example Figure 1 a patient in the second hospital bed area 20 accidentally dropped an item, making a relatively loud sound and being determined as the second bedside device. However, the patient actually playing the audio continuously is located in the third hospital bed area 30. The first spectrum obtained by the incorrect second bedside device is likely to not cover the noisy audio, resulting in poor noise reduction effect. The target noise in this embodiment usually lasts for a period of time. Therefore, 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 at the same sampling start time and obtain slices from the corresponding input audio at the same sampling period.

[0038] It should be noted that after the first bedside device starts the first noise reduction device, the first slice is obtained from the input audio according to the sampling period. Similarly, the associated bedside device obtains the second slice. The corresponding bedside device can identify the corresponding amplitude from the audio slice, that is, the first bedside device determines the first amplitude from the first slice, and the associated bedside device determines the second amplitude from the second slice, and feeds the second amplitude back to the first bedside device. It can use multiple bedside devices to cooperate to determine the corresponding audio amplitude, and only transmit the second amplitude without transmitting the second slice, reducing the amount of communication data and improving the cooperation efficiency of multiple devices.

[0039] It should be noted that when the sampling start time and the sampling period are the same, the first amplitude and the second amplitude can be grouped into the same amplitude group for storage based on the same moment, which is convenient for subsequent data analysis.

[0040] In addition, in one embodiment, referring to Figure 3 , in step S20, the second noise reduction device and the second bedside device are determined based on the second amplitude with the largest value, which specifically includes but is not limited to the following steps: S21, sort the multiple amplitude groups according to the collection time, and traverse the amplitude groups one by one; S22. Whenever an amplitude group is traversed, determine a first difference based on the second amplitude with the largest value and the first amplitude, and determine corresponding second differences based on the first amplitude and each of the remaining second amplitudes; S23. When both the first amplitude and the second amplitude of the amplitude group are greater than a preset first threshold, add a first identifier to the corresponding amplitude group; S24. When the numerical differences between the first difference and each of the second differences of the amplitude group are all less than a preset second threshold, add a second identifier to the corresponding amplitude group, where the second threshold is less than the first threshold; S25. 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, determine the corresponding associated bedside device as the second bedside device and determine the corresponding second noise reduction device.

[0041] It should be noted that according to the description of the above embodiments, in order to accurately locate the second bedside device, in this embodiment, multiple amplitude groups are sorted according to the acquisition order and traversed one by one. In each amplitude group, the second amplitude with the largest value is selected and the first amplitude is subtracted to obtain the first difference, and the first amplitude and each of the remaining second amplitudes are used to determine the second differences.

[0042] Exemplarily, as Figure 1 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.

[0043] 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, and the second amplitude recorded in this amplitude group includes the amplitude of the target noise. By adding the first identifier, it is characterized that this amplitude group is a valid amplitude group.

[0044] 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 little 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 characterize 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.

[0045] In addition, in one embodiment, referring to Figure 3 , step S22 specifically includes but is not limited to the following steps: S221, determining the associated bedside device corresponding to the second amplitude with the largest value as the candidate bedside device, and determining the remaining associated bedside devices as the third bedside devices; S222, when the third bedside device is located between the candidate bedside device and the first bedside device, subtracting the first amplitude from the second amplitude of the third bedside device to obtain the second difference; S223, when the first bedside device is located between the third bedside device and the candidate bedside device, subtracting the second amplitude of the third bedside device from the first amplitude to obtain the second difference.

[0046] It should be noted that within one amplitude group, in this embodiment, the candidate bedside device is first determined according to the second amplitude with the largest value, and the remaining associated bedside devices are determined as the third bedside 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 bedside device, but in this case, the number of hospital beds in the ward needs to be preset for each bedside device; it is also possible to still execute the technical solution of this embodiment to unify the active noise reduction process without setting the number of hospital beds. In step S221, the third bedside device will not be determined, and the candidate bedside device will be directly determined as the second bedside device, and the specific method can be selected according to actual needs.

[0047] It should be noted that since the first bedside device can be any bedside device in the ward that initiates the target noise reduction mode, multiple hospital beds in a common ward are arranged side by side, such as Figure 1As shown, if a patient in the first hospital bed area 10 initiates the target noise reduction mode, the bedside device in this area is the first bedside device. Similarly, if a patient in the second hospital bed area 20 initiates the target noise reduction mode, the bedside device in this area is the first bedside device. Therefore, the first bedside device can be located between the third bedside device and the candidate bedside device, or the first bedside device is located at the farthest end.

[0048] It should be noted that in step S222, the third bedside device is closer to the candidate bedside device than the first bedside device. Therefore, the second amplitude value of the third bedside device is greater than the first amplitude value, and the second difference value is obtained by subtracting the first amplitude value from the second amplitude value. Similarly, in step S223, the first bedside device is closer to the candidate bedside device than the third bedside device, the first amplitude value is greater than the second amplitude value of the third bedside device, and the second difference value is obtained by subtracting the second amplitude value from the first amplitude value.

[0049] In addition, in an embodiment, referring to Figure 3 , after step S30 is executed, it further includes but is not limited to the following steps: S31, obtaining the second amplitude value of the second bedside device in real time and determining it as the reference amplitude value; S32, determining the associated bedside devices other than the second bedside device as the fourth bedside device, sending the real-time obtained first amplitude value and the reference amplitude value to the fourth bedside device, and obtaining the third amplitude value of the real-time input audio through the third noise reduction device of the fourth bedside device; S33, when the second spectrum sent by the fourth bedside 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 value, where the second spectrum is analyzed from the real-time input audio by the fourth bedside device controlling the third noise reduction device when the third amplitude value meets the preset conditions; Among them, the preset conditions include at least one of the following: The third amplitude value is greater than or equal to the reference amplitude value; When the fourth bedside device is located between the first bedside device and the second bedside device, the difference between the fourth difference value and the third difference value is greater than the preset third threshold value, where the third difference value is the difference between the reference amplitude value and the third amplitude value, and the fourth difference value is the difference between the third amplitude value and the first amplitude value; When the first bedside device is located between the fourth bedside device and the second bedside device, the fourth difference value is greater than or equal to the fifth difference value, where the fifth difference value is the difference between the reference amplitude value and the first amplitude value.

[0050] 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 the active noise reduction by continuously obtaining the first spectrum feedback by the second bedside device, the remaining associated bedside devices are determined as the fourth bedside devices. The first amplitude and the reference amplitude are sent to the fourth bedside devices. After obtaining the first amplitude and the reference amplitude, the fourth bedside devices trigger a noise recognition process. When the preset conditions are met, it can be determined that the area corresponding to the fourth bedside device generates noises that affect the patient corresponding to the first bedside device. The second spectrum is sent to the first bedside device according to the principle of the above-mentioned second bedside device, so that the first bedside device can dynamically adjust the target spectrum and then continue with active noise reduction to filter out the noises emitted from the two hospital bed areas respectively.

[0051] It should be noted that the first bedside device occupies a relatively large amount of resources during the process of performing active noise reduction. By using the fourth bedside device for recognition, the idle resources of the bedside devices can be effectively utilized. The first bedside device only needs to update the target spectrum and then maintain the active noise reduction, without causing excessive resource occupation. The first amplitude detected in real time also includes the noises in the hospital bed area corresponding to the fourth bedside device. Therefore, it can ensure that the noise filtering meets the requirements.

[0052] Exemplarily, as Figure 1 shown, taking the first hospital bed area 10 corresponding to the first bedside device and the third hospital bed area 30 corresponding to the second bedside device as an example, the second hospital bed area 20 corresponds to the fourth bedside device. After the first bedside device starts active noise reduction, the amplitude A and the amplitude C are sent to the fourth bedside device. The fourth bedside 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 bedside device can use the computing resources of the fourth bedside device. After the detected amplitude B meets the preset conditions, the second spectrum is obtained and sent to the first bedside device. The first bedside device continues to perform active noise reduction after fusing the second spectrum and the first spectrum. Since the noise reduction spectrum can cover the two hospital bed areas, the effect of active noise reduction can be ensured.

[0053] It should be noted that this embodiment proposes multiple preset conditions, and meeting at least one of them is sufficient. 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 bedside device is greater than the noise in the hospital bed area corresponding to the second bedside device, and active noise reduction needs to be performed.

[0054] It should be noted that when the fourth bedside device is located between the first bedside device and the second bedside device, the third difference is the difference value 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 a preset third threshold, it can be determined that noise has occurred in the hospital bed area corresponding to the fourth bedside device, resulting in a small difference in the sound amplitudes detected by each bedside device. For example, Figure 1 as 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 bedside device and the first bedside device both correspond to the first noise. Since the attenuation amplitude of sound increases with distance, the difference between the third difference and the fourth difference is large. If there is a second noise, the input audio of each bedside 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.

[0055] It should be noted that when the first bedside device is located between the fourth bedside device and the second bedside device, and the first noise and the second noise come from both sides of the first bedside 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.

[0056] In addition, in an embodiment, referring to Figure 3 , after step S32 is executed, it further includes but is not limited to the following steps: S321, sending the first spectrum to the fourth bedside device; 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.

[0057] 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 the 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.

[0058] 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 feeds back in real time in response to the second detection signal, the method further includes: S26. Query the hospital information system by the second bedside device based on preset target patient information to determine at least one target monitoring device; S27. 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; S28. Delete each target device frequency band from the first spectrum.

[0059] 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. A monitoring device may also be provided 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. As Figure 1 shown, if the privacy curtain commonly used in the hospital bed is drawn in the third hospital bed area 30, the sound of the monitoring device is relatively small, and it may not be able to spread to the first hospital bed area 10 under the shielding effect of the privacy curtain, but it will spread to the second noise reduction device. If the complete first spectrum is directly used, in the case where the same monitoring device is deployed in the first hospital bed area 10, the sound of the monitoring device may be filtered, affecting the normal monitoring of the patient 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. Therefore, a frequency band mapping table can be preset, 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 spectrum to avoid filtering the sound of the monitoring device.

[0060] 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: 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., for executing relevant programs to implement the technical solutions provided by the embodiments of the present application; The memory 402 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 in the embodiments of this specification through software or firmware, the relevant program codes are stored in the memory 402, and the processor 401 is used to call and execute the active noise reduction method based on multi-device linkage in the embodiments of this application; The input / output interface 403 is used to implement information input and output; The communication interface 404 is used to implement communication and interaction between this device and other devices. Communication can be achieved through wired means (such as USB, network cable, etc.) or wireless means (such as mobile network, WIFI, Bluetooth, etc.); The bus 405 transmits information between various components of the device (such as the processor 401, the memory 402, the input / output interface 403, and the communication interface 404); 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.

[0061] The embodiments of this application also provide an electronic device, including the active noise reduction device based on multi-device linkage as described above.

[0062] The embodiments of this application also provide a storage medium. The storage medium is a computer-readable storage medium. This 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.

[0063] 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 can include high-speed random access memory, and can also include non-transitory memory, such as at least one magnetic disk storage device, a flash memory device, or other non-transitory solid-state storage devices. In some embodiments, the memory can optionally include a memory remotely set 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. The units described as separate components may or may not be physically separated, and may be located in one place, or may also 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 solutions in this embodiment.

[0064] 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 technologies, 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 that 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.

[0065] The above has specifically described 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 bedside device, the first bedside device is communicatively connected with a plurality of associated bedside devices, the first bedside device is provided with a first noise reduction device, the associated bedside device is provided with an associated noise reduction device, the first bedside device and each of the associated bedside devices respectively correspond to a bed area, the method comprising: When a trigger signal of the target noise reduction mode is obtained, a 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 feeds back a second amplitude of the input audio of the corresponding associated noise reduction device in real time; Determine a second noise reduction device and a second bedside device based on the second amplitude with the largest value, send a second detection signal to the second bedside device, and obtain a first spectrum fed back in real time by the second bedside device in response to the second detection signal, wherein the first spectrum is obtained by parsing the corresponding input audio by the second noise reduction device; The first frequency spectrum is input to the first noise reduction device, and the first noise reduction device performs active noise reduction based on the first frequency spectrum and the first amplitude.

2. The active noise reduction method based on multi-device linkage according to claim 1 is characterized in that: Determining in real time a first amplitude of the input audio of the first noise reduction device, and sending a first detection signal to each of the associated bedside devices so that each of the associated bedside devices feeds back in real time a second amplitude of the input audio of the corresponding associated noise reduction device, comprising: Determine a sampling start time based on the current time and a preset time redundancy value, construct the first detection signal based on the sampling start time and a preset sampling period, and send the first detection signal to each of the associated bedside devices; Starting the first noise reduction device based on the sampling start time, periodically acquiring a plurality of first slices from the input audio of the first noise reduction device based on the sampling period, and determining the first amplitude of each of the first slices; Acquire the second amplitude of the second slice periodically fed back by the associated bedside device, wherein the second slice is periodically acquired from the input audio of the corresponding associated noise reduction device based on the sampling period after the corresponding associated bedside device starts the corresponding associated noise reduction device based on the sampling start time; The first amplitude value and a plurality of the second amplitude values ​​collected at the same time are divided into the same amplitude value group.

3. The active noise reduction method based on multi-device linkage according to claim 2 is characterized in that: Determining a second noise reduction device and a second bedside device based on the second amplitude with the largest value includes: Sort the multiple amplitude groups according to the acquisition time, and traverse the amplitude groups one by one; Whenever a group of the amplitude values ​​is traversed, a first difference is determined based on the second amplitude value with the largest value and the first amplitude, and a corresponding second difference is determined based on the first amplitude and each of the remaining second amplitude values; When the first amplitude and the second amplitude of the amplitude group are both greater than a preset first threshold, adding a first identifier to the corresponding amplitude group; When the numerical differences between the first difference of the amplitude group and each of the second differences are all smaller than a preset second threshold, adding a second identifier to the corresponding amplitude group, wherein the second threshold is smaller than the first threshold; When the number of amplitude groups that continuously have the first identification and the second identification 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.

4. The active noise reduction method based on multi-device linkage according to claim 3 is characterized in that: Determining corresponding second differences based on the first amplitude and each of the remaining second amplitudes, respectively, comprises: Determine the associated bedside device corresponding to the second amplitude with the largest value as a candidate bedside device, and determine the remaining associated bedside devices as third bedside devices; When the third bedside device is located between the candidate bedside device and the first bedside device, subtracting the first amplitude from the second amplitude of the third bedside device to obtain the second difference; Alternatively, when the first bedside device is located between the third bedside device and the candidate bedside device, the second difference is obtained by subtracting the second amplitude of the third bedside device from the first amplitude.

5. The active noise reduction method based on multi-device linkage according to any one of claims 1 to 4, characterized in that: After the first noise reduction device performs active noise reduction based on the first spectrum and the first amplitude, the method further includes: Acquire the second amplitude of the second bedside device in real time and determine it as a reference amplitude; Determine the associated bedside device except the second bedside device as a fourth bedside device, send the first amplitude and the reference amplitude obtained in real time to the fourth bedside device, and obtain a third amplitude of the real-time input audio through a third noise reduction device of the fourth bedside device; When a second spectrum sent by the fourth bedside device is acquired, a target spectrum is determined based on the second spectrum and the first spectrum, and active noise reduction is performed based on the target spectrum and the first amplitude, wherein the second spectrum is obtained by the fourth bedside device by controlling the third noise reduction device to parse from the real-time input audio when the third amplitude meets a preset condition; The preset conditions include at least one of the following: The third amplitude is greater than or equal to the reference amplitude; 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, wherein 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 bedside device is located between the fourth bedside device and the second bedside device, the fourth difference is greater than or equal to a fifth difference, wherein the fifth difference is a difference between the reference amplitude and the first amplitude.

6. The active noise reduction method based on multi-device linkage according to claim 5, characterized in that: After obtaining a third amplitude of the real-time input audio through the third noise reduction device of the fourth bedside device, the method further includes: sending the first spectrum to the fourth bedside device; When the fourth bedside device starts the target noise reduction mode, active noise reduction is performed based on the first spectrum and the third amplitude.

7. The active noise reduction method based on multi-device linkage according to claim 1, characterized in that: The second bedside device is in communication connection with the hospital information system. Before acquiring the first frequency spectrum fed back in real time by the second bedside device in response to the second detection signal, the method further includes: querying the hospital information system based on preset target patient information to determine at least one target monitoring device by the second bedside device; Obtaining a target device frequency band of the target monitoring device from a preset frequency band mapping table, wherein the frequency band mapping table records a mapping relationship between monitoring devices and device frequency bands; Each of the target device frequency bands is deleted from the first frequency spectrum.

8. An active noise reduction device based on multi-device linkage, characterized in that: It includes at least one control processor and a memory for communicating with the at least one control processor; the memory stores instructions that can be executed by the at least one control processor, and the instructions are executed by the at least one control processor so that the at least one control processor can execute the active noise reduction method based on multi-device linkage as described in any one of claims 1 to 7.

9. An electronic device, characterized in that: Including the active noise reduction device based on multi-device linkage as described in claim 8.

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

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