WO2023029581A1 - Noise exposure index statistical method and apparatus, and device and storage medium - Google Patents

Noise exposure index statistical method and apparatus, and device and storage medium Download PDF

Info

Publication number
WO2023029581A1
WO2023029581A1 PCT/CN2022/092792 CN2022092792W WO2023029581A1 WO 2023029581 A1 WO2023029581 A1 WO 2023029581A1 CN 2022092792 W CN2022092792 W CN 2022092792W WO 2023029581 A1 WO2023029581 A1 WO 2023029581A1
Authority
WO
WIPO (PCT)
Prior art keywords
noise
exposure
noise exposure
signal
online
Prior art date
Application number
PCT/CN2022/092792
Other languages
French (fr)
Chinese (zh)
Inventor
陈飞
迟欣
姜德军
曹磊
黄育雄
何桂晓
郭世文
吴海全
Original Assignee
深圳市飞科笛***开发有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 深圳市飞科笛***开发有限公司 filed Critical 深圳市飞科笛***开发有限公司
Publication of WO2023029581A1 publication Critical patent/WO2023029581A1/en

Links

Images

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
    • G01H17/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
    • H04R3/00—Circuits for transducers, loudspeakers or microphones
    • H04R3/005—Circuits for transducers, loudspeakers or microphones for combining the signals of two or more microphones

Definitions

  • the present application relates to the field of telecommunications technology, and in particular to a noise exposure index statistical method, device, equipment and storage medium.
  • Noise is a sound that people will inevitably come into contact with in their daily lives. Excessive exposure to noise environments will cause hearing damage to people, especially for construction sites, large factories, military exercise bases and other places, where the impact of noise is particularly great. Therefore, detecting the noise index allows people to know the specific noise value of the current place, so that corresponding protective measures can be made according to the noise value to protect people's hearing and avoid irreversible hearing damage in the later stage.
  • One of the purposes of the embodiments of the present application is to provide a noise exposure index statistical method, a noise exposure index statistical device, an electronic device, and a computer-readable storage medium, aiming at solving the problem of noise calculation in related technologies Professional noise detectors are needed, and people need to purchase professional noise detectors if they want to know the noise situation in the current place, which increases the cost of knowing the noise situation.
  • the embodiment of the present application provides a noise exposure index statistical method, including:
  • the noise exposure value is averaged by the number of devices, and the noise exposure index is output.
  • the noise exposure index statistical method of the embodiment of the present application has at least the following beneficial effects: by obtaining the noise signals collected by the microphones of different online devices and the exposure duration, and then performing data processing on the noise signals and the exposure duration to obtain the noise exposure value of the online device, and then The noise exposure index is calculated according to the noise exposure value and the number of devices, so that the noise exposure can be specified through the noise exposure index. Users only need to carry a device equipped with a microphone to know the noise exposure of the current environment. Provide corresponding protective measures to improve user experience.
  • the above method further includes:
  • the above method further includes:
  • the noise signal collected by the microphone of the online device and the exposure time are collected according to a preset first time interval cycle.
  • the performing data processing on the noise signal and the exposure duration to obtain the noise exposure value corresponding to the online device includes:
  • the compensation signal and the exposure time are averaged to obtain the noise exposure value.
  • the averaging processing of the compensation signal and the exposure duration to obtain the noise exposure value includes:
  • the compensation signal and the exposure time are averaged using a preset calculation formula to obtain the noise exposure value.
  • the above method further includes:
  • the noise exposure index is periodically updated according to the second time interval.
  • the above method further includes:
  • the noise exposure index is sent to the address link corresponding to the preset address information.
  • the embodiment of the present application provides a noise exposure index statistical device, including:
  • the first obtaining module is used to obtain the device quantity of the online device
  • the second acquiring module is configured to acquire noise signals collected by microphones of different online devices, and acquire the exposure time of the noise signals;
  • a data processing module configured to perform data processing on the noise signal and the exposure duration, and output a noise exposure value corresponding to the online device
  • the average value processing module is configured to average the noise exposure value with the number of devices to obtain the noise exposure index.
  • the noise exposure index statistical device of the embodiment of the present application has at least the following beneficial effects: by obtaining the noise signals collected by the microphones of different online devices and the exposure duration, and then performing data processing on the noise signals and the exposure duration to obtain the noise exposure value of the online device, and then The noise exposure index is calculated according to the noise exposure value and the number of devices, so that the noise exposure can be specified through the noise exposure index. Users only need to carry a device equipped with a microphone to know the noise exposure of the current environment. Provide corresponding protective measures to improve user experience.
  • the embodiment of the present application provides an electronic device, including:
  • At least one processor and,
  • the memory stores instructions executable by the at least one processor, the instructions are executed by the at least one processor, so that the at least one processor can perform the noise exposure index statistics as described in the first aspect method.
  • an embodiment of the present application provides a computer-readable storage medium, the computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used to make a computer perform the noise described in the first aspect Exposure Index Statistical Method.
  • the electronic device can obtain the noise signal and exposure time collected by the microphones of different online devices, and then perform data processing on the noise signal and exposure time to obtain the noise exposure value of the online device, and then
  • the noise exposure index is calculated according to the noise exposure value and the number of devices, so that the noise exposure situation can be specified through the noise exposure index; the user only needs to carry a device equipped with a microphone to know the noise exposure index of the current environment, which saves the cost of noise detection. It is convenient for users to grasp their own noise exposure more accurately, and make corresponding, more effective and reasonable protective measures according to the noise exposure index, so as to improve user experience.
  • Fig. 1 is a schematic flow chart of a specific embodiment of the noise exposure index statistical method in the embodiment of the present application
  • Fig. 2 is a schematic flow chart of another specific embodiment of the noise exposure index statistical method in the embodiment of the present application;
  • Fig. 3 is a schematic flow chart of another specific embodiment of the noise exposure index statistical method in the embodiment of the present application.
  • Fig. 4 is a schematic flow chart of a specific embodiment of step S300 in Fig. 1;
  • FIG. 5 is a schematic waveform diagram of the noise signal collected by the noise exposure index statistical method in the embodiment of the present application.
  • FIG. 6 is a schematic waveform diagram of the noise signal collected by the noise exposure index statistical method in the embodiment of the present application.
  • Fig. 7 is a schematic flow chart of another specific embodiment of the noise exposure index statistical method in the embodiment of the present application.
  • Fig. 8 is a module block diagram of a specific embodiment of the noise exposure index statistical device in the embodiment of the present application.
  • Fig. 9 is a module block diagram of a specific embodiment of the electronic device in the embodiment of the present application.
  • orientation descriptions such as “up”, “down”, “front”, “back”, “left”, “right” and other indicated orientations or positional relationships are based on the The orientation or positional relationship is only for the convenience of describing the application and simplifying the description, but does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be construed as limiting the application . If a feature is said to be “set”, “fixed”, “connected”, “mounted” on another feature, it can be set, fixed, connected to another feature directly, or indirectly set, fixed, connected , installed on another feature.
  • Noise is a sound that people will inevitably come into contact with in their daily lives. Excessive exposure to noise environments will cause damage to people's hearing, especially in construction sites, large factories, military exercise bases, etc., where the impact of noise is particularly great. People can alleviate the noise damage to a certain extent by wearing earmuffs, ear plugs, etc., but the inconvenience and discomfort that come with it will make the staff reduce their attention to noise hazards and ignore protective measures.
  • noise detection equipment is not installed in construction sites, large factories, and military exercise bases, so people cannot know the current noise value, and cannot make corresponding protective measures according to the noise value, which will bring hidden dangers to people's health. .
  • the present application discloses a noise exposure index statistical method, by collecting the noise signals collected by the microphones of different online devices, and calculating the noise exposure index according to the noise signal and the noise duration, and the noise signal collected by the microphone is sufficient
  • noise exposure index statistics the user can know the noise situation in the current environment according to the noise exposure index, and take corresponding protective measures according to the noise exposure index, so as to protect the user's hearing more effectively.
  • a noise exposure index statistical method including:
  • the online device is an online device among the registered devices. According to the registration information entered by the user, the device corresponding to the registration information is registered to complete the registration. After the device registration is completed, the operating status of the registered device is obtained, and the registered device whose operating status is online Defined as an online device.
  • the registered device is the device currently carried by the user, and the device types of the multiple registered devices are different, and each registered device is equipped with a microphone to collect the noise signal of the on-site environment through the microphone on the online device, so as to Improve the accuracy of noise exposure index statistics.
  • the registered devices can be watches, wristbands, sports earphones, TWS earphones, mobile phones and other devices, to determine the online device to obtain the online device, and then collect the noise signal according to the microphone on the online device, and then according to the noise signal and The exposure time determines the noise exposure index to realize the statistics of the noise exposure index, so that the user can understand the noise environment of the current environment and take corresponding protective measures.
  • the registered device in the online state as an online device, and then obtain the noise signals collected by the microphones on different online devices, and calculate the exposure time of the microphone to collect the noise signal, and the exposure time is the duration of the noise signal.
  • the battery life and usage time of a device it cannot be guaranteed that the same device will be used all day. It is necessary to obtain the noise signals of the microphones of different online devices to ensure the stability of the noise signal collection.
  • the noise signal and exposure time collected by each online device are processed to obtain the noise exposure value, that is, the noise exposure value measured by the online device.
  • the number of online devices and the noise exposure values measured by all online devices are averaged to obtain the noise exposure index, so the obtained noise exposure index is more in line with the current user requirements. environment to improve the accuracy of the noise exposure index.
  • the noise exposure index statistical method also includes:
  • the initial time information of the online device connected for the first time is obtained, and the standard time information is obtained, and the standard time information comes from the universal time sent by the current satellite.
  • the online device has no initial time information, configure an RTC chip for the online device to calculate the initial time of the online device through the RTC chip, so as to obtain the initial time information of the online device, and the exposure time of the noise signal can be known.
  • the initial time information is synchronized according to the standard time information to obtain synchronous time information, so as to realize time synchronization. After the time synchronization is completed, the exposure time obtained from online device feedback is more accurate.
  • the time synchronization information is obtained, and the time synchronization information is sent to the online device connected for the first time, and the online device determines the current time according to the time synchronization information to complete the time synchronization operation of the online device, and the online device feedback is exposed Duration is more accurate.
  • the noise exposure index statistical method is characterized in that it also includes:
  • S800 Collect the noise signal collected by the microphone of the online device and the exposure time according to a preset first time interval cycle.
  • the noise signal and noise duration collected by the microphone of the online device are periodically collected according to the preset first time interval, so as to regularly update the noise signal and exposure duration according to the user's environment, and then re-acquired according to the preset first time interval
  • the noise signal and the exposure duration update the noise exposure index, so that the noise exposure index is regularly updated according to the preset first time interval, so as to improve the accuracy of the noise exposure index.
  • step S300 includes but is not limited to steps S310 to S330, and step S300 includes:
  • the input noise quotes are speech frame signals
  • the missing part is compensated by measuring the frequency response of the microphone to simulate the human ear's reception of sound through the microphone, so as to calculate the actual noise exposure of the human ear. Therefore, the noise transformation signal is compensated to obtain a compensation signal, and an effective compensation signal is obtained through compensation, and then the noise exposure value is obtained by averaging the compensation signal and the exposure time to obtain the noise exposure value of each online device.
  • the sensitivity of each frequency point during the recording process is inconsistent, and we expect the frequency response curve corresponding to the noise signal collected by the microphone to be a straight line, but the noise signal collected by the microphone is shown in Figure 5 and Figure 6 , in Figure 5 and Figure 6, the abscissa indicates the frequency point in Hz, the ordinate in Figure 5 indicates the sensitivity in decibels, and the ordinate in Figure 6 indicates that the unit is decibel and takes 1000Hz and 0dB as the reference noise intensity, and the noise signal collected by the microphone is actually a curve, so it is necessary to perform compensation processing on the noise transformation signal obtained from the noise signal processing.
  • performing compensation processing on the noise-transformed signal requires determining the frequency points corresponding to the noise-transformed signal, and determining the compensation value corresponding to each frequency point, and then constructing a compensation value sequence to perform compensation processing on the noise-transformed signal according to the compensation value sequence. If it is assumed that the compensation value sequence of the noise transformed signal at each frequency point is H, then the compensation value sequence H can be expressed as:
  • H 1 [x 1 , x 2 , x 3 , . . . , x N ] (1)
  • N represents the number of frequency points; set the sampling rate to F; n is a variable, representing the nth frequency point, and the value range of n is 1 to N; x n represents the compensation value of the nth frequency point, and x n corresponds to The frequency point of is f n ; the corresponding relationship between the frequency point and the sampling rate is:
  • a protective device is provided on the microphone, wherein the protective device includes: a microphone cover and a microphone plug, the protective device will affect the noise signal collected by the microphone. Therefore, the protective equipment has the ability to block the collected noise signals at each frequency point. Assuming that the noise energy corresponding to the noise signal is A, the measured energy of each frequency point of the protective equipment is P, and H2 is defined as the correction parameter of the protective equipment when the microphone counts the noise, then:
  • y N represents the correction value of the nth frequency point, and the value range of n is from 1 to N; therefore, for the microphone carrying protective equipment, the noise transformation signal is modified according to the correction parameters to obtain the correction signal, so as to obtain the correction signal according to The noise exposure index calculated by modifying the signal is more accurate.
  • performing Fourier transform processing on the noise signal is mainly to perform Fourier transform processing on the noise signal through the Fourier transform formula, and perform Fourier transform processing on the noise signal as follows:
  • the noise transformation signal After performing Fourier transform processing on the noise signal to obtain the noise transformation signal, the noise transformation signal is obtained to obtain the compensation signal, and the compensation processing of the noise transformation signal is as follows:
  • the noise transformation signal is obtained, the noise transformation signal is inversely transformed to obtain an effective compensation signal as follows:
  • the noise signal is subjected to Fourier transform processing through formulas (4) to (6) and then compensated to obtain a more accurate noise signal.
  • step S330 includes but is not limited to include step S331, and step S330 includes:
  • the noise exposure value can be accurately obtained, that is, the average noise amplitude in the entire exposure time can be known, and the noise impact degree of the user's environment can be more accurately displayed.
  • the noise exposure value is obtained by averaging the compensation signal and the exposure time according to the preset calculation formula, as follows:
  • pre ref represents the minimum sound pressure amplitude audible to the human ear at 1000Hz, 20 ⁇ Pa.
  • the noise exposure value is obtained by averaging the compensation signal and the exposure time through formulas (7) and (8), so as to more accurately represent the noise influence degree of the user's environment.
  • the noise exposure index statistical method further includes:
  • Table 1 is the noise exposure index updated according to the preset second time interval cycle.
  • the preset first time interval and second time interval are t, so the number of online devices is updated at an interval of t, and the noise exposure index is regularly updated.
  • the noise exposure index is (a1+c6)/2; if At time t8, the online devices include device 1, device 2 and device 3, and the noise exposure value of device 1 is a3, the noise exposure value of device 2 is b1, and the noise exposure value of device 3 is c8, then the current noise exposure index It is (a1+b1+c8)/3. Therefore, if the noise exposure index is calculated based on the noise exposure value of online equipment and the number of equipment, the noise exposure index obtained will be more specific, and users can more accurately grasp their own noise exposure.
  • the noise exposure index statistical method also includes but not limited to the following steps:
  • the noise exposure index is sent to the address link corresponding to the preset address information.
  • the noise exposure index is calculated and sent to the address link corresponding to the address information in real time. If the address information is a WeChat ID, send the noise exposure index to the WeChat corresponding to the WeChat ID; if the address information is an IP address, send the noise exposure indication to the terminal corresponding to the IP address, so that the user can clearly understand the current noise Exposure situation, in order to make corresponding protective measures according to the noise exposure index.
  • the running state of the registered device Acquiring the running state of the registered device according to the preset second time interval period, defining the registered device whose running state is the online state as the online device, and obtaining the number of the online device. Then obtain the noise signal collected by the microphone of the online device and the exposure time. First, the noise signal is subjected to Fourier transform processing to obtain a noise transformation signal, and then the noise transformation signal is compensated to obtain a more accurate compensation signal.
  • the compensation signal and The exposure time is averaged to obtain the noise exposure value, the noise exposure value of each online device is added and divided by the number of devices to obtain the noise exposure index, and the noise exposure index is sent to the address link corresponding to the preset address information, then Users can grasp the noise exposure of the current environment in real time, so as to make corresponding protective measures according to the noise exposure index, thereby improving the user experience.
  • the embodiment of the present application also discloses a noise exposure index statistical device, including: a first acquisition module, a second acquisition module, a data processing module, and an average value processing module; the first acquisition module is used to acquire The number of online devices; the second acquisition module is used to obtain the noise signals collected by the microphones of different online devices, and obtain the exposure time of the noise signals; the data processing module is used to process the noise signals and the exposure time, and output the corresponding online device Noise exposure value; the average value processing module is used to average the noise exposure value with the number of devices to obtain the noise exposure index.
  • the number of online devices is acquired by the first acquisition module 100, the second acquisition module 200 acquires noise signals and exposure durations collected by microphones of different online devices, and the data processing module 300 performs data processing on the noise signals and exposure durations to obtain noise exposure values , and the average value processing module 400 averages the noise exposure value and the number of devices to obtain the noise exposure index, then the noise exposure index can be calculated according to the noise signal collected by the microphone, and the user only needs to carry the device equipped with the microphone to know the current environment noise signal, so that users can protect themselves in a more effective and reasonable way according to the noise exposure index, thereby improving the user experience.
  • online devices can be earphones with real-time clocks, running bracelets, mobile phones, etc.
  • the microphones can be configured to obtain noise signals and exposure time, and then the noise exposure index can be calculated to improve user experience.
  • the embodiment of the present application also discloses an electronic device, including:
  • At least one processor 110 and,
  • the memory 120 stores instructions that can be executed by the at least one processor 110, and the instructions are executed by the at least one processor 110, so that the at least one processor 110 can execute the method described in the first aspect.
  • Statistical method of noise exposure index is a measure of noise exposure index.
  • the embodiment of the present application also discloses a computer-readable storage medium, the computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used to make a computer perform the Statistical method of noise exposure index.
  • the device embodiments described above are only illustrative, and the units described as separate components may or may not be physically separated, that is, they may be located in one place, or may be distributed to multiple network units. Part or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.
  • Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disk (DVD) or other optical disk storage, magnetic cartridges, tape, magnetic disk storage or other magnetic storage devices, or can Any other medium used to store desired information and which can be accessed by a computer.
  • communication media typically embodies computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media .

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Otolaryngology (AREA)
  • Engineering & Computer Science (AREA)
  • Acoustics & Sound (AREA)
  • Signal Processing (AREA)
  • Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)

Abstract

Disclosed in the present application are a noise exposure index statistical method and apparatus, and a device and a storage medium. The noise exposure index statistical method comprises: acquiring the number of online devices; acquiring noise signals collected by microphones of different online devices, and acquiring exposure durations of the noise signals; performing data processing on the noise signals and the exposure durations, so as to obtain noise exposure values corresponding to the online devices; and averaging the noise exposure values according to the number of devices, and outputting a noise exposure index. In the present application, by means of the noise exposure index, noise exposure is concretized, such that a user only needs to carry a device configured with a microphone, such as a smart headphone, to learn the noise exposure of the current environment, and the user can take corresponding protective measures according to the noise exposure index, so as to improve the user experience.

Description

噪声暴露指数统计方法、装置、设备及存储介质Statistical method, device, equipment and storage medium of noise exposure index
本申请要求于2021年8月31日在中国国家知识产权局提交的、申请号为202111009746.5、申请名称为“噪声暴露指数统计方法、装置、设备及存储介质”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。This application claims the priority of the Chinese patent application with the application number 202111009746.5 and the application title "Noise Exposure Index Statistical Method, Device, Equipment and Storage Medium" filed at the State Intellectual Property Office of China on August 31, 2021. The entire contents are incorporated by reference in this application.
技术领域technical field
本申请涉及电通信技术领域，具体涉及一种噪声暴露指数统计方法、装置、设备及存储介质。The present application relates to the field of telecommunications technology, and in particular to a noise exposure index statistical method, device, equipment and storage medium.
背景技术Background technique
这里的陈述仅提供与本申请有关的背景信息，而不必然构成现有技术。The statements herein merely provide background information related to the present application and may not necessarily constitute prior art.
噪声是人们日常生活必然会接触到的声音，过度地暴露于噪声环境中会对格人听力造成损害，特别针对工地、大型工厂、军事演练基地等场所，噪声的影响尤为巨大。因此，检测噪声指数可以让人们可以知晓当前场所的具体噪声值，以根据噪声值做出对应的防护措施，以保护人们的听力，避免造成后期不可逆的听力损伤。Noise is a sound that people will inevitably come into contact with in their daily lives. Excessive exposure to noise environments will cause hearing damage to people, especially for construction sites, large factories, military exercise bases and other places, where the impact of noise is particularly great. Therefore, detecting the noise index allows people to know the specific noise value of the current place, so that corresponding protective measures can be made according to the noise value to protect people's hearing and avoid irreversible hearing damage in the later stage.
技术问题technical problem
本申请实施例的目的之一在于：提供一种噪声暴露指数统计方法、一种噪声暴露指数统计装置、一种电子设备和一种计算机可读存储介质，旨在解决相关技术中，对于噪声计算需要专业的噪声探测器，人们想要知晓当前场所的噪声情况需要购买专业的噪声探测器，使得噪声情况的知晓成本提高的问题。One of the purposes of the embodiments of the present application is to provide a noise exposure index statistical method, a noise exposure index statistical device, an electronic device, and a computer-readable storage medium, aiming at solving the problem of noise calculation in related technologies Professional noise detectors are needed, and people need to purchase professional noise detectors if they want to know the noise situation in the current place, which increases the cost of knowing the noise situation.
技术解决方案technical solution
为解决上述技术问题，本申请实施例采用的技术方案是：In order to solve the above-mentioned technical problems, the technical solution adopted in the embodiment of the present application is:
第一方面，本申请实施例提供了一种噪声暴露指数统计方法，包括：In the first aspect, the embodiment of the present application provides a noise exposure index statistical method, including:
获取在线设备的设备数量；Obtain the number of devices online;
获取不同所述在线设备的麦克风采集的噪声信号，并获取所述噪声信号的暴露时长；Obtaining noise signals collected by microphones of different online devices, and obtaining the exposure time of the noise signals;
将所述噪声信号和所述暴露时长进行数据处理，得到所述在线设备对应噪声暴露值；performing data processing on the noise signal and the exposure duration to obtain a noise exposure value corresponding to the online device;
将所述噪声暴露值以所述设备数量进行平均处理，输出所述噪声暴露指数。The noise exposure value is averaged by the number of devices, and the noise exposure index is output.
本申请实施例的噪声暴露指数统计方法至少具有如下有益效果：通过获取不同在线设备的麦克风采集的噪声信号和暴露时长，然后对噪声信号和暴露时长进行数据处理得到在线设备的噪声暴露值，再根据噪声暴露值和设备数量计算得到噪声暴露指数，以通过噪声暴露指数将噪声暴露情况具体化，用户只需要携带配置麦克风的设备即可知晓当前环境的噪声暴露情况，则可以根据噪声暴露指数做出对应的防护措施，以提高用户体验感。The noise exposure index statistical method of the embodiment of the present application has at least the following beneficial effects: by obtaining the noise signals collected by the microphones of different online devices and the exposure duration, and then performing data processing on the noise signals and the exposure duration to obtain the noise exposure value of the online device, and then The noise exposure index is calculated according to the noise exposure value and the number of devices, so that the noise exposure can be specified through the noise exposure index. Users only need to carry a device equipped with a microphone to know the noise exposure of the current environment. Provide corresponding protective measures to improve user experience.
在第一方面的一种可能的实现方式中，上述方法还包括：In a possible implementation manner of the first aspect, the above method further includes:
获取初次连接的所述在线设备的初始时间信息和标准时间信息；Obtain initial time information and standard time information of the online device connected for the first time;
根据所述标准时间信息对所述初始时间信息进行同步处理，得到同步时间信息；synchronizing the initial time information according to the standard time information to obtain synchronous time information;
将所述同步时间信息发送至初次连接的所述在线设备。Send the synchronization time information to the online device connected for the first time.
在第一方面的一种可能的实现方式中，上述方法还包括：In a possible implementation manner of the first aspect, the above method further includes:
根据预设的第一时间间隔周期采集所述在线设备的麦克风采集的所述噪声信号和所述暴露时长。The noise signal collected by the microphone of the online device and the exposure time are collected according to a preset first time interval cycle.
在第一方面的一种可能的实现方式中，所述将所述噪声信号和所述暴露时长进行数据处理，得到所述在线设备对应噪声暴露值，包括：In a possible implementation manner of the first aspect, the performing data processing on the noise signal and the exposure duration to obtain the noise exposure value corresponding to the online device includes:
将所述噪声信号进行傅里叶变换处理，得到噪声变换信号；performing Fourier transform processing on the noise signal to obtain a noise transform signal;
将所述噪声变换信号进行补偿处理，得到补偿信号；performing compensation processing on the noise transformation signal to obtain a compensation signal;
将所述补偿信号和所述暴露时长进行平均处理，得到所述噪声暴露值。The compensation signal and the exposure time are averaged to obtain the noise exposure value.
在第一方面的一种可能的实现方式中，所述将所述补偿信号和所述暴露时长进行平均处理，得到所述噪声暴露值，包括：In a possible implementation manner of the first aspect, the averaging processing of the compensation signal and the exposure duration to obtain the noise exposure value includes:
将所述补偿信号和所述暴露时长以预设的计算公式进行平均处理，得到所述噪声暴露值。The compensation signal and the exposure time are averaged using a preset calculation formula to obtain the noise exposure value.
在第一方面的一种可能的实现方式中，上述方法还包括：In a possible implementation manner of the first aspect, the above method further includes:
根据预设的第二时间间隔周期获取所述在线设备的设备数量，所述第二时间间隔和所述第一时间间隔相同；Obtaining the device quantity of the online device according to a preset second time interval cycle, the second time interval being the same as the first time interval;
根据所述第二时间间隔周期更新所述噪声暴露指数。The noise exposure index is periodically updated according to the second time interval.
在第一方面的一种可能的实现方式中，上述方法还包括：In a possible implementation manner of the first aspect, the above method further includes:
将所述噪声暴露指数发送至预设的地址信息对应的地址链接。The noise exposure index is sent to the address link corresponding to the preset address information.
第二方面，本申请实施例提供了一种噪声暴露指数统计装置，包括：In the second aspect, the embodiment of the present application provides a noise exposure index statistical device, including:
第一获取模块，用于获取在线设备的设备数量；The first obtaining module is used to obtain the device quantity of the online device;
第二获取模块，用于获取不同所述在线设备的麦克风采集的噪声信号，并获取所述噪声信号的暴露时长；The second acquiring module is configured to acquire noise signals collected by microphones of different online devices, and acquire the exposure time of the noise signals;
数据处理模块，用于将所述噪声信号和所述暴露时长进行数据处理，输出所述在线设备对应噪声暴露值；A data processing module, configured to perform data processing on the noise signal and the exposure duration, and output a noise exposure value corresponding to the online device;
均值处理模块，用于将所述噪声暴露值以所述设备数量进行平均处理，得到所述噪声暴露指数。The average value processing module is configured to average the noise exposure value with the number of devices to obtain the noise exposure index.
本申请实施例的噪声暴露指数统计装置至少具有如下有益效果：通过获取不同在线设备的麦克风采集的噪声信号和暴露时长，然后对噪声信号和暴露时长进行数据处理得到在线设备的噪声暴露值，再根据噪声暴露值和设备数量计 算得到噪声暴露指数，以通过噪声暴露指数将噪声暴露情况具体化，用户只需要携带配置麦克风的设备即可知晓当前环境的噪声暴露情况，则可以根据噪声暴露指数做出对应的防护措施，以提高用户体验感。The noise exposure index statistical device of the embodiment of the present application has at least the following beneficial effects: by obtaining the noise signals collected by the microphones of different online devices and the exposure duration, and then performing data processing on the noise signals and the exposure duration to obtain the noise exposure value of the online device, and then The noise exposure index is calculated according to the noise exposure value and the number of devices, so that the noise exposure can be specified through the noise exposure index. Users only need to carry a device equipped with a microphone to know the noise exposure of the current environment. Provide corresponding protective measures to improve user experience.
第三方面，本申请实施例提供一种电子设备，包括：In a third aspect, the embodiment of the present application provides an electronic device, including:
至少一个处理器，以及，at least one processor, and,
与所述至少一个处理器通信连接的存储器；其中，a memory communicatively coupled to the at least one processor; wherein,
所述存储器存储有可被所述至少一个处理器执行的指令，所述指令被所述至少一个处理器执行，以使所述至少一个处理器能够执行如第一方面所述的噪声暴露指数统计方法。The memory stores instructions executable by the at least one processor, the instructions are executed by the at least one processor, so that the at least one processor can perform the noise exposure index statistics as described in the first aspect method.
第四方面，本申请实施例提供一种计算机可读存储介质，所述计算机可读存储介质存储有计算机可执行指令，所述计算机可执行指令用于使计算机执行如第一方面所述的噪声暴露指数统计方法。In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, the computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used to make a computer perform the noise described in the first aspect Exposure Index Statistical Method.
有益效果Beneficial effect
在本申请实施例提供的噪声暴露指数统计方法中，电子设备可以获取不同在线设备的麦克风采集的噪声信号和暴露时长，然后对噪声信号和暴露时长进行数据处理得到在线设备的噪声暴露值，再根据噪声暴露值和设备数量计算得到噪声暴露指数，以通过噪声暴露指数将噪声暴露情况具体化；用户只需要携带配置麦克风的设备即可知晓当前环境的噪声暴露指数，节省了噪声检测的成本，便于用户更准确的掌握自己的噪声暴露情况，根据噪声暴露指数做出对应的、更有效、合理的防护措施，以提高用户体验感。In the noise exposure index statistical method provided in the embodiment of this application, the electronic device can obtain the noise signal and exposure time collected by the microphones of different online devices, and then perform data processing on the noise signal and exposure time to obtain the noise exposure value of the online device, and then The noise exposure index is calculated according to the noise exposure value and the number of devices, so that the noise exposure situation can be specified through the noise exposure index; the user only needs to carry a device equipped with a microphone to know the noise exposure index of the current environment, which saves the cost of noise detection. It is convenient for users to grasp their own noise exposure more accurately, and make corresponding, more effective and reasonable protective measures according to the noise exposure index, so as to improve user experience.
附图说明Description of drawings
为了更清楚地说明本申请实施例中的技术方案，下面将对实施例或示范性技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图 仅仅是本申请的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其它的附图。In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the accompanying drawings that need to be used in the embodiments or exemplary technical descriptions. Obviously, the accompanying drawings in the following descriptions are only for this application. For some embodiments, those skilled in the art can also obtain other drawings based on these drawings without creative efforts.
图1是本申请实施例中噪声暴露指数统计方法的一具体实施例流程示意图；Fig. 1 is a schematic flow chart of a specific embodiment of the noise exposure index statistical method in the embodiment of the present application;
图2是本申请实施例中噪声暴露指数统计方法的另一具体实施例流程示意图；Fig. 2 is a schematic flow chart of another specific embodiment of the noise exposure index statistical method in the embodiment of the present application;
图3是本申请实施例中噪声暴露指数统计方法的另一具体实施例流程示意图；Fig. 3 is a schematic flow chart of another specific embodiment of the noise exposure index statistical method in the embodiment of the present application;
图4是图1中步骤S300的一具体实施例流程示意图；Fig. 4 is a schematic flow chart of a specific embodiment of step S300 in Fig. 1;
图5是本申请实施例中噪声暴露指数统计方法的采集噪声信号的波形示意图；5 is a schematic waveform diagram of the noise signal collected by the noise exposure index statistical method in the embodiment of the present application;
图6是本申请实施例中噪声暴露指数统计方法的采集噪声信号的波形示意图；6 is a schematic waveform diagram of the noise signal collected by the noise exposure index statistical method in the embodiment of the present application;
图7是本申请实施例中噪声暴露指数统计方法的另一具体实施例流程示意图；Fig. 7 is a schematic flow chart of another specific embodiment of the noise exposure index statistical method in the embodiment of the present application;
图8是本申请实施例中噪声暴露指数统计装置的一具体实施例模块框图；Fig. 8 is a module block diagram of a specific embodiment of the noise exposure index statistical device in the embodiment of the present application;
图9是本申请实施例中电子设备的一具体实施例模块框图。Fig. 9 is a module block diagram of a specific embodiment of the electronic device in the embodiment of the present application.
附图标记：100、第一获取模块；200、第二获取模块；300、数据处理模块；400、均值处理模块；110、处理器；120、存储器。Reference numerals: 100, a first acquisition module; 200, a second acquisition module; 300, a data processing module; 400, an average value processing module; 110, a processor; 120, a memory.
本发明的实施方式Embodiments of the present invention
以下将结合实施例对本申请的构思及产生的技术效果进行清楚、完整地描述，以充分地理解本申请的目的、特征和效果。显然，所描述的实施例只是本申请的一部分实施例，而不是全部实施例，基于本申请的实施例，本领域的技 术人员在不付出创造性劳动的前提下所获得的其他实施例，均属于本申请保护的范围。The idea and technical effects of the present application will be clearly and completely described below in conjunction with the embodiments, so as to fully understand the purpose, features and effects of the present application. Apparently, the described embodiments are only some of the embodiments of the present application, not all of them. Based on the embodiments of the present application, other embodiments obtained by those skilled in the art without creative efforts belong to The protection scope of this application.
在本申请的描述中，如果涉及到方位描述，例如“上”、“下”、“前”、“后”、“左”、“右”等指示的方位或位置关系为基于附图所示的方位或位置关系，仅是为了便于描述本申请和简化描述，而不是指示或暗示所指的装置或元件必须具有特定的方位、以特定的方位构造和操作，因此不能理解为对本申请的限制。如果某一特征被称为“设置”、“固定”、“连接”、“安装”在另一个特征，它可以直接设置、固定、连接在另一个特征上，也可以间接地设置、固定、连接、安装在另一个特征上。In the description of this application, if it involves orientation descriptions, such as "up", "down", "front", "back", "left", "right" and other indicated orientations or positional relationships are based on the The orientation or positional relationship is only for the convenience of describing the application and simplifying the description, but does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be construed as limiting the application . If a feature is said to be "set", "fixed", "connected", "mounted" on another feature, it can be set, fixed, connected to another feature directly, or indirectly set, fixed, connected , installed on another feature.
在本申请实施例的描述中，如果涉及到“若干”，其含义是一个以上，如果涉及到“多个”，其含义是两个以上，如果涉及到“大于”、“小于”、“超过”，均应理解为不包括本数，如果涉及到“以上”、“以下”、“以内”，均应理解为包括本数。如果涉及到“第一”、“第二”，应当理解为用于区分技术特征，而不能理解为指示或暗示相对重要性或者隐含指明所指示的技术特征的数量或者隐含指明所指示的技术特征的先后关系。In the description of the embodiments of the present application, if it involves "several", it means more than one, if it involves "multiple", it means more than two, if it involves "greater than", "less than", "more than ", should be understood as not including the original number, if it involves "above", "below", and "within", it should be understood as including the original number. If "first" and "second" are involved, it should be understood as used to distinguish technical features, and should not be understood as indicating or implying relative importance or implicitly indicating the number of indicated technical features or implicitly indicating the indicated The sequence of technical features.
噪声是人们日常生活中必然会接触到的声音，过度地暴露于噪声环境中会对人们的听力造成损害，特别是在工地、大型工厂、军事演练基地等场合，噪声的影响尤为巨大。人们通过戴耳罩、塞耳棉等方式在一定程度缓解噪声损害，但随之而来的不便及不舒适性会使工作人员降低对噪声危害的重视程度，从而忽略防护措施。但是对于工地、大型工厂和军事演练基地等场合是不安装噪声检测设备的，所以人们无法得知当前的噪声值，则无法根据噪声值做出对应的防护措施，则对人们的健康带来隐患。Noise is a sound that people will inevitably come into contact with in their daily lives. Excessive exposure to noise environments will cause damage to people's hearing, especially in construction sites, large factories, military exercise bases, etc., where the impact of noise is particularly great. People can alleviate the noise damage to a certain extent by wearing earmuffs, ear plugs, etc., but the inconvenience and discomfort that come with it will make the staff reduce their attention to noise hazards and ignore protective measures. However, noise detection equipment is not installed in construction sites, large factories, and military exercise bases, so people cannot know the current noise value, and cannot make corresponding protective measures according to the noise value, which will bring hidden dangers to people's health. .
基于此，本申请公开了一种噪声暴露指数统计方法，通过采集不同在线设 备的麦克风采集的噪声信号，以根据噪声信号和噪声时长进行计算得到噪声暴露指数，以通过麦克风采集的噪声信号即可进行噪声暴露指数统计，则用户可以根据噪声暴露指数清楚当前环境的噪声情况，以根据噪声暴露指数做出对应的防护措施，更加有效地保护用户的听力。Based on this, the present application discloses a noise exposure index statistical method, by collecting the noise signals collected by the microphones of different online devices, and calculating the noise exposure index according to the noise signal and the noise duration, and the noise signal collected by the microphone is sufficient By making noise exposure index statistics, the user can know the noise situation in the current environment according to the noise exposure index, and take corresponding protective measures according to the noise exposure index, so as to protect the user's hearing more effectively.
为了说明本申请所述的技术方案，以下结合具体附图及实施例进行详细说明。In order to illustrate the technical solutions described in this application, the following will be described in detail in conjunction with specific drawings and embodiments.
第一方面，参照图1，本申请公开了一种噪声暴露指数统计方法，包括：In the first aspect, referring to Fig. 1, the present application discloses a noise exposure index statistical method, including:
S100、获取在线设备的设备数量；S100. Obtain the number of online devices;
在线设备为已注册设备中在线的设备，根据用户输入的注册信息以实现注册信息对应的设备完成注册，完成设备注册后获取已注册设备的运行状态，并将运行状态为在线状态的已注册设备定义为在线设备。其中，已注册设备为用户当前携带的设备，且多个已注册设备的设备类型不同，且每个已注册设备上都设有麦克风，以通过在线设备上的麦克风采集现场环境的噪声信号，以提高噪声暴露指数统计的准确性。The online device is an online device among the registered devices. According to the registration information entered by the user, the device corresponding to the registration information is registered to complete the registration. After the device registration is completed, the operating status of the registered device is obtained, and the registered device whose operating status is online Defined as an online device. Among them, the registered device is the device currently carried by the user, and the device types of the multiple registered devices are different, and each registered device is equipped with a microphone to collect the noise signal of the on-site environment through the microphone on the online device, so as to Improve the accuracy of noise exposure index statistics.
其中，已注册设备可以为手表、手环、运动耳机、TWS耳机、手机等设备，以确定在线状态的已注册设备得到在线设备，然后根据在线设备上的麦克风采集噪声信号，再根据噪声信号和暴露时长确定噪声暴露指数，以实现噪声暴露指数的统计，以便于用户清楚当前环境的噪声环境，以做出对应的防护措施。Among them, the registered devices can be watches, wristbands, sports earphones, TWS earphones, mobile phones and other devices, to determine the online device to obtain the online device, and then collect the noise signal according to the microphone on the online device, and then according to the noise signal and The exposure time determines the noise exposure index to realize the statistics of the noise exposure index, so that the user can understand the noise environment of the current environment and take corresponding protective measures.
S200、获取不同在线设备的麦克风采集的噪声信号，并获取噪声信号的暴露时长；S200. Obtain noise signals collected by microphones of different online devices, and obtain exposure time of the noise signals;
定义在线状态的已注册设备为在线设备，然后获取不同在线设备上的麦克风采集的噪声信号，且计算麦克风采集噪声信号的暴露时长，暴露时长也即存 在噪声信号的时长。考虑一个设备的续航能力和使用时长，所以不能保证同一个设备一天都在使用，则需要获取不同在线设备的麦克风的噪声信号，以保证噪声信号的采集稳定。Define the registered device in the online state as an online device, and then obtain the noise signals collected by the microphones on different online devices, and calculate the exposure time of the microphone to collect the noise signal, and the exposure time is the duration of the noise signal. Considering the battery life and usage time of a device, it cannot be guaranteed that the same device will be used all day. It is necessary to obtain the noise signals of the microphones of different online devices to ensure the stability of the noise signal collection.
S300、将噪声信号和暴露时长进行数据处理，得到在线设备对应噪声暴露值；S300. Perform data processing on the noise signal and the exposure time to obtain a noise exposure value corresponding to the online device;
采集噪声信号和暴露时长后，将每一个在线设备采集的噪声信号和暴露时长进行数据处理以得到噪声暴露值，也即在线设备所测量得到的噪声暴露值。After the noise signal and exposure time are collected, the noise signal and exposure time collected by each online device are processed to obtain the noise exposure value, that is, the noise exposure value measured by the online device.
S400、将噪声暴露值以设备数量进行平均处理，输出噪声暴露指数。S400. Average the noise exposure value by the number of devices, and output a noise exposure index.
通过确定了每一个在线设备测量得到的噪声暴露值后，将在线设备的设备数量和所有在线设备测量得到的噪声暴露值进行平均处理得到噪声暴露指数，因此得到的噪声暴露指数更加符合当前用户所处环境，以提高噪声暴露指数的准确性。After determining the noise exposure value measured by each online device, the number of online devices and the noise exposure values measured by all online devices are averaged to obtain the noise exposure index, so the obtained noise exposure index is more in line with the current user requirements. environment to improve the accuracy of the noise exposure index.
参照图2，在一些实施例中，噪声暴露指数统计方法，还包括：Referring to Fig. 2, in some embodiments, the noise exposure index statistical method also includes:
S500、获取初次连接的在线设备的初始时间信息和标准时间信息；S500. Obtain initial time information and standard time information of the online device connected for the first time;
当在线设备初次连接时，由于初次连接的时间会不准确，因此获取初次连接的在线设备初始时间信息，并获取标准时间信息，且标准时间信息来自于当前卫星发送的世界标准时间。When the online device connects for the first time, because the time of the initial connection will be inaccurate, the initial time information of the online device connected for the first time is obtained, and the standard time information is obtained, and the standard time information comes from the universal time sent by the current satellite.
其中，若在线设备没有初始时间信息，则给在线设备配置一个RTC芯片，以通过RTC芯片计算在线设备的初始时间，以实现在线设备的初始时间信息获取，即可清楚噪声信号的暴露时长。Among them, if the online device has no initial time information, configure an RTC chip for the online device to calculate the initial time of the online device through the RTC chip, so as to obtain the initial time information of the online device, and the exposure time of the noise signal can be known.
S600、根据标准时间信息对初始时间信息进行同步处理，得到同步时间信息；S600. Synchronize the initial time information according to the standard time information to obtain synchronous time information;
当获取的初始时间信息和标准时间信息不同步，则根据标准时间信息对初 始时间信息进行同步处理以得到同步时间信息，以实现时间同步。完成时间同步后，则获取在线设备反馈的暴露时长更加准确。When the acquired initial time information is not synchronized with the standard time information, the initial time information is synchronized according to the standard time information to obtain synchronous time information, so as to realize time synchronization. After the time synchronization is completed, the exposure time obtained from online device feedback is more accurate.
S700、将同步时间信息发送至初次连接的在线设备。S700. Send the synchronization time information to the online device connected for the first time.
当完成时间同步后得到时间同步信息，并将时间同步信息发送至初次连接的在线设备，则在线设备根据时间同步信息确定当前的时间，以完成在线设备的时间同步操作，则在线设备反馈的暴露时长更加准确。After the time synchronization is completed, the time synchronization information is obtained, and the time synchronization information is sent to the online device connected for the first time, and the online device determines the current time according to the time synchronization information to complete the time synchronization operation of the online device, and the online device feedback is exposed Duration is more accurate.
参照图3，在一些实施例中，噪声暴露指数统计方法，其特征在于，还包括：Referring to Fig. 3, in some embodiments, the noise exposure index statistical method is characterized in that it also includes:
S800、根据预设的第一时间间隔周期采集在线设备的麦克风采集的噪声信号和暴露时长。S800. Collect the noise signal collected by the microphone of the online device and the exposure time according to a preset first time interval cycle.
根据预设的第一时间间隔周期采集在线设备的麦克风采集的噪声信号和噪声时长，以便于根据用户所处的环境定时更新噪声信号和暴露时长，则根据预设的第一时间间隔重新采集的噪声信号和暴露时长更新噪声暴露指数，以便于根据预设的第一时间间隔定期更新噪声暴露指数，以提高噪声暴露指数的准确性。The noise signal and noise duration collected by the microphone of the online device are periodically collected according to the preset first time interval, so as to regularly update the noise signal and exposure duration according to the user's environment, and then re-acquired according to the preset first time interval The noise signal and the exposure duration update the noise exposure index, so that the noise exposure index is regularly updated according to the preset first time interval, so as to improve the accuracy of the noise exposure index.
参照图4，在一些实施例中，步骤S300包括但不限于包括步骤S310至S330，步骤S300包括：Referring to FIG. 4, in some embodiments, step S300 includes but is not limited to steps S310 to S330, and step S300 includes:
S310、将噪声信号进行傅里叶变换处理，得到噪声变换信号；S310. Perform Fourier transform processing on the noise signal to obtain a noise transformed signal;
S320、将噪声变换信号进行补偿处理，得到补偿信号；S320. Perform compensation processing on the noise transformation signal to obtain a compensation signal;
S330、将补偿信号和暴露时长进行平均处理，得到噪声暴露值。S330. Perform averaging processing on the compensation signal and the exposure time to obtain a noise exposure value.
由于输入的噪声引号为语音帧信号，所以需要将噪声信号进行傅里叶变换处理以得到噪声变化信号，以便于进行补偿处理。由于不同麦克风之间频响存在差异，因此通过测量麦克风的频响，对缺失部分进行补偿，以通过麦克风模 仿人耳对声音的接收情况，从而计算出人耳的实际噪声暴露情况。因此，将噪声变换信号进行补偿处理得到补偿信号，通过补偿得到有效的补偿信号，然后根据补偿信号和暴露时长进行平均处理得到噪声暴露值，以得到每一个在线设备的噪声暴露值。Since the input noise quotes are speech frame signals, it is necessary to perform Fourier transform processing on the noise signal to obtain a noise change signal for compensation processing. Due to the difference in frequency response between different microphones, the missing part is compensated by measuring the frequency response of the microphone to simulate the human ear's reception of sound through the microphone, so as to calculate the actual noise exposure of the human ear. Therefore, the noise transformation signal is compensated to obtain a compensation signal, and an effective compensation signal is obtained through compensation, and then the noise exposure value is obtained by averaging the compensation signal and the exposure time to obtain the noise exposure value of each online device.
具体地，由于麦克风不同，录音过程中各频点的敏感度不一致，而我们期望麦克风采集的噪声信号对应的频响曲线是一条直线，但是麦克风所采集的噪声信号如图5和图6所示，在图5和图6中，横坐标均表示单位为Hz的频点，图5的纵坐标表示单位为分贝的敏感度，图6的纵坐标表示单位为分贝且以1000Hz、0dB为参考基准的噪声强度，并且麦克风采集的噪声信号实际为一条曲线，因此需要对噪声信号处理得到的噪声变换信号进行补偿处理。其中，对噪声变换信号进行补偿处理需要确定噪声变换信号对应的频点，且确定每个频点对应的补偿值，然后构建补偿值序列，以根据补偿值序列对噪声变换信号进行补偿处理。若假设噪声变换信号在各频点的补偿值序列为H，则补偿值序列H可以表示为：Specifically, due to different microphones, the sensitivity of each frequency point during the recording process is inconsistent, and we expect the frequency response curve corresponding to the noise signal collected by the microphone to be a straight line, but the noise signal collected by the microphone is shown in Figure 5 and Figure 6 , in Figure 5 and Figure 6, the abscissa indicates the frequency point in Hz, the ordinate in Figure 5 indicates the sensitivity in decibels, and the ordinate in Figure 6 indicates that the unit is decibel and takes 1000Hz and 0dB as the reference noise intensity, and the noise signal collected by the microphone is actually a curve, so it is necessary to perform compensation processing on the noise transformation signal obtained from the noise signal processing. Among them, performing compensation processing on the noise-transformed signal requires determining the frequency points corresponding to the noise-transformed signal, and determining the compensation value corresponding to each frequency point, and then constructing a compensation value sequence to perform compensation processing on the noise-transformed signal according to the compensation value sequence. If it is assumed that the compensation value sequence of the noise transformed signal at each frequency point is H, then the compensation value sequence H can be expressed as:
H 1＝[x 1，x 2，x 3，…，x N]           (1) H 1 =[x 1 , x 2 , x 3 , . . . , x N ] (1)
其中，N表示频点数；设置采样率为F；n为一个变量，表示第n个频点，n的取值区间为1至N；x n表示第n个频点的补偿值，x n对应的频点为f n；频点与采样率之间的对应关系为： Among them, N represents the number of frequency points; set the sampling rate to F; n is a variable, representing the nth frequency point, and the value range of n is 1 to N; x n represents the compensation value of the nth frequency point, and x n corresponds to The frequency point of is f n ; the corresponding relationship between the frequency point and the sampling rate is:
Figure PCTCN2022092792-appb-000001
Figure PCTCN2022092792-appb-000001
若麦克风上设有防护设备，其中，防护设备包括：麦克风罩，麦克风塞，则防护设备对麦克风采集噪声信号存在影响。因此防护设备对采集的噪声信号在各频点具有阻挡能力。假设噪声信号对应的噪声能量为A的情况下测量得到带上防护设备各个频点的能量为P，定义H 2为麦克风统计噪声时保护设备的 修正参数，则有： If a protective device is provided on the microphone, wherein the protective device includes: a microphone cover and a microphone plug, the protective device will affect the noise signal collected by the microphone. Therefore, the protective equipment has the ability to block the collected noise signals at each frequency point. Assuming that the noise energy corresponding to the noise signal is A, the measured energy of each frequency point of the protective equipment is P, and H2 is defined as the correction parameter of the protective equipment when the microphone counts the noise, then:
H 2＝A-P＝[y 1,y 2,y 3,…,y N]          (3) H 2 =AP=[y 1 ,y 2 ,y 3 ,...,y N ] (3)
其中，y N表示第n个频点的修正值，n的取值区间为1至N；因此，对于携带防护设备的麦克风时，根据修正参数对噪声变换信号进行修改以得到修正信号，以根据修改信号计算得到的噪声暴露指数更加准确。 Among them, y N represents the correction value of the nth frequency point, and the value range of n is from 1 to N; therefore, for the microphone carrying protective equipment, the noise transformation signal is modified according to the correction parameters to obtain the correction signal, so as to obtain the correction signal according to The noise exposure index calculated by modifying the signal is more accurate.
其中，假设噪声信号为s，将噪声信号进行傅里叶变换处理主要是通过傅里叶变换公式对噪声信号进行傅里叶变换处理，且对噪声信号进行傅里叶变换处理如下：Among them, assuming that the noise signal is s, performing Fourier transform processing on the noise signal is mainly to perform Fourier transform processing on the noise signal through the Fourier transform formula, and perform Fourier transform processing on the noise signal as follows:
S＝FFT(s)        (4)S=FFT(s) (4)
对噪声信号进行傅里叶变换处理得到噪声变换信号后，对噪声变换信号以得到补偿信号，且对噪声变换信号进行补偿处理如下：After performing Fourier transform processing on the noise signal to obtain the noise transformation signal, the noise transformation signal is obtained to obtain the compensation signal, and the compensation processing of the noise transformation signal is as follows:
S＝S+H 1-H 2+A(5) S=S+H 1 -H 2 +A (5)
得到噪声变换信号后，对噪声变换信号进行反向变换得到有效的补偿信号如下：After the noise transformation signal is obtained, the noise transformation signal is inversely transformed to obtain an effective compensation signal as follows:
s＝IFFT(S)            (6)s=IFFT(S) (6)
因此，通过公式(4)至(6)对噪声信号进行傅里叶变换处理后再进行补偿处理，以得到更加准确的噪声信号。Therefore, the noise signal is subjected to Fourier transform processing through formulas (4) to (6) and then compensated to obtain a more accurate noise signal.
在一些实施例中，步骤S330包括但不限于包括步骤S331，步骤S330包括：In some embodiments, step S330 includes but is not limited to include step S331, and step S330 includes:
S331、将补偿信号和暴露时长以预设的计算公式进行平均处理，得到噪声暴露值。S331. Perform averaging processing on the compensation signal and the exposure time using a preset calculation formula to obtain a noise exposure value.
通过以预设计算公式对补偿信号和暴露时长进行平均处理，能够准确得到噪声暴露值，也即知晓在整个暴露时长中平均的噪声幅度，更加准确地显示出用户所处环境的噪声影响程度。By averaging the compensation signal and the exposure time with a preset calculation formula, the noise exposure value can be accurately obtained, that is, the average noise amplitude in the entire exposure time can be known, and the noise impact degree of the user's environment can be more accurately displayed.
具体地，根据预设的计算公式对补偿信号和暴露时长进行平均处理得到噪声暴露值，如下：Specifically, the noise exposure value is obtained by averaging the compensation signal and the exposure time according to the preset calculation formula, as follows:
Figure PCTCN2022092792-appb-000002
Figure PCTCN2022092792-appb-000002
Figure PCTCN2022092792-appb-000003
Figure PCTCN2022092792-appb-000003
式中，p ref表示1000Hz处人耳可听的最小声压幅值20μPa。 In the formula, pre ref represents the minimum sound pressure amplitude audible to the human ear at 1000Hz, 20μPa.
因此，通过公式(7)和(8)对补偿信号和暴露时长进行平均处理得到噪声暴露值，以更加准确地表示用户所处环境的噪声影响程度。Therefore, the noise exposure value is obtained by averaging the compensation signal and the exposure time through formulas (7) and (8), so as to more accurately represent the noise influence degree of the user's environment.
参照图7，在一些实施例中，噪声暴露指数统计方法，还包括：Referring to Figure 7, in some embodiments, the noise exposure index statistical method further includes:
S900、根据预设的第二时间间隔周期获取在线设备的设备数量，第二时间间隔和第一时间间隔相同；S900. Obtain the number of online devices according to a preset second time interval, where the second time interval is the same as the first time interval;
S1000、根据第二时间间隔周期更新噪声暴露指数。S1000. Update the noise exposure index according to the second time interval period.
由于在线设备不会一直在线，所以需要根据预设的第二时间间隔周期获取在线设备的设备数量，因此根据预设的第二时间间隔周期获取已注册设备的运行状态，获取运行状态为在线状态的已注册设备，并定义已注册设备为在线设备，则获取在线设备的设备数量，即可根据每个在线设备的麦克风采集的噪声信号进行计算得到噪声暴露值，并根据重新获取的噪声暴露值和在线设备以第二时间间隔周期更新噪声暴露指数，以便于实时更新用户所处位置的噪声暴露情况，则用户根据噪声暴露指数以更加有效、合理的方式做出防护。Since online devices will not be online all the time, it is necessary to obtain the number of online devices according to the preset second time interval cycle, so obtain the operating status of the registered device according to the preset second time interval cycle, and the obtained operating status is online status registered devices, and define the registered devices as online devices, then obtain the number of online devices, and then calculate the noise exposure value based on the noise signal collected by the microphone of each online device, and based on the newly obtained noise exposure value The noise exposure index and the online device are periodically updated at the second time interval, so as to update the noise exposure situation of the user's location in real time, and the user can make protection in a more effective and reasonable manner according to the noise exposure index.
表1Table 1
时间time 设备1equipment 1 设备2 device 2 设备3device 3 噪声暴露指数Noise Exposure Index
t1t1  the  the c1c1 c1c1
t2t2  the  the c2c2 c2c2
t3t3  the  the c3c3 c3c3
t4t4  the  the c4c4 c4c4
t5t5  the  the c5c5 c5c5
t6t6 a1a1  the c6c6 (a1+c6)/2(a1+c6)/2
t7t7 a2a2  the c7c7 (a2+c7)/2(a2+c7)/2
t8t8 a3a3 b1b1 c8c8 (a3+b1+c8)/3(a3+b1+c8)/3
其中，表1为根据预设第二时间间隔周期更新的噪声暴露指数。参照表1，其中预设的第一时间间隔和第二时间间隔为t，因此间隔t时更新在线设备的设备数量，并定时更新噪声暴露指数。如表1所示，若已注册设备包括设备1、设备2、设备3，在t1时间检测到在线设备只有设备3，则计算得到设备3的噪声暴露值为c1，则噪声暴露指数为c1；若在t6时间，检测到在线设备包括设备1和设备3，且设备1的噪声暴露值为a1，而设备3的噪声暴露值为c6，则噪声暴露指数为(a1+c6)/2；若在t8时间，在线设备包括设备1、设备2和设备3，且设备1的噪声暴露值为a3，设备2的噪声暴露值为b1，设备3的噪声暴露值为c8，则当前的噪声暴露指数为(a1+b1+c8)/3。因此，根据在线设备的噪声暴露值和设备数量计算得到噪声暴露指数，则得到的噪声暴露指数更加具体化，且用户可以更加准确的掌握自己的噪声暴露情况。Among them, Table 1 is the noise exposure index updated according to the preset second time interval cycle. Referring to Table 1, the preset first time interval and second time interval are t, so the number of online devices is updated at an interval of t, and the noise exposure index is regularly updated. As shown in Table 1, if the registered devices include device 1, device 2, and device 3, and only device 3 is detected as an online device at time t1, then the calculated noise exposure value of device 3 is c1, and the noise exposure index is c1; If at time t6, it is detected that the online devices include device 1 and device 3, and the noise exposure value of device 1 is a1, and the noise exposure value of device 3 is c6, then the noise exposure index is (a1+c6)/2; if At time t8, the online devices include device 1, device 2 and device 3, and the noise exposure value of device 1 is a3, the noise exposure value of device 2 is b1, and the noise exposure value of device 3 is c8, then the current noise exposure index It is (a1+b1+c8)/3. Therefore, if the noise exposure index is calculated based on the noise exposure value of online equipment and the number of equipment, the noise exposure index obtained will be more specific, and users can more accurately grasp their own noise exposure.
在一些实施例中，噪声暴露指数统计方法，还包括但不限于以下步骤：In some embodiments, the noise exposure index statistical method also includes but not limited to the following steps:
将噪声暴露指数发送至预设的地址信息对应的地址链接。The noise exposure index is sent to the address link corresponding to the preset address information.
根据用户预先设置的地址信息，计算得到噪声暴露指数后实时发送至地址信息对应的地址链接中。若地址信息为微信号，则将噪声暴露指数发送至微信号对应的微信中；若地址信息为IP地址，则将噪声暴露指示发送至IP地址对应的终端处，以便于用户可以清楚当前的噪声暴露情况，以便于根据噪声暴露指数做出对应的防护措施。According to the address information preset by the user, the noise exposure index is calculated and sent to the address link corresponding to the address information in real time. If the address information is a WeChat ID, send the noise exposure index to the WeChat corresponding to the WeChat ID; if the address information is an IP address, send the noise exposure indication to the terminal corresponding to the IP address, so that the user can clearly understand the current noise Exposure situation, in order to make corresponding protective measures according to the noise exposure index.
下面参考图1至图7以一个具体的实施例详细描述根据本申请实施例的噪 声暴露指数统计方法。值得理解的是，下述描述仅是示例性说明，而不是对申请的具体限制。The noise exposure index statistical method according to the embodiment of the present application is described in detail below with reference to Fig. 1 to Fig. 7 with a specific embodiment. It should be understood that the following description is only an illustration, rather than a specific limitation on the application.
根据预设的第二时间间隔周期获取已注册设备的运行状态，并定义运行状态为在线状态的已注册设备为在线设备，并获取在线设备的设备数量。然后获取在线设备的麦克风采集的噪声信号和暴露时长，首先将噪声信号进行傅里叶变换处理以得到噪声变换信号，再将噪声变换信号进行补偿处理以得到更加准确的补偿信号，将补偿信号和暴露时长进行平均处理得到噪声暴露值，将每个在线设备的噪声暴露值相加后除以设备数量以得到噪声暴露指数，并将噪声暴露指数发送至预设的地址信息对应的地址链接，则用户可以实时掌握当前所处环境的噪声暴露情况，以根据噪声暴露指数做出对应的防护措施，从而提高用户的体验感。Acquiring the running state of the registered device according to the preset second time interval period, defining the registered device whose running state is the online state as the online device, and obtaining the number of the online device. Then obtain the noise signal collected by the microphone of the online device and the exposure time. First, the noise signal is subjected to Fourier transform processing to obtain a noise transformation signal, and then the noise transformation signal is compensated to obtain a more accurate compensation signal. The compensation signal and The exposure time is averaged to obtain the noise exposure value, the noise exposure value of each online device is added and divided by the number of devices to obtain the noise exposure index, and the noise exposure index is sent to the address link corresponding to the preset address information, then Users can grasp the noise exposure of the current environment in real time, so as to make corresponding protective measures according to the noise exposure index, thereby improving the user experience.
第二方面，参照图8，本申请实施例还公开了一种噪声暴露指数统计装置，包括：第一获取模块、第二获取模块、数据处理模块和均值处理模块；第一获取模块用于获取在线设备的设备数量；第二获取模块用于获取不同在线设备的麦克风采集的噪声信号，并获取噪声信号的暴露时长；数据处理模块用于将噪声信号和暴露时长进行数据处理，输出在线设备对应噪声暴露值；均值处理模块用于将噪声暴露值以设备数量进行平均处理，得到噪声暴露指数。In the second aspect, referring to FIG. 8 , the embodiment of the present application also discloses a noise exposure index statistical device, including: a first acquisition module, a second acquisition module, a data processing module, and an average value processing module; the first acquisition module is used to acquire The number of online devices; the second acquisition module is used to obtain the noise signals collected by the microphones of different online devices, and obtain the exposure time of the noise signals; the data processing module is used to process the noise signals and the exposure time, and output the corresponding online device Noise exposure value; the average value processing module is used to average the noise exposure value with the number of devices to obtain the noise exposure index.
通过第一获取模块100获取在线设备的设备数量，第二获取模块200获取不同在线设备的麦克风采集的噪声信号和暴露时长，数据处理模块300对噪声信号和暴露时长进行数据处理以得到噪声暴露值，且均值处理模块400将噪声暴露值和设备数量进行平均处理得到噪声暴露指数，则可以根据麦克风采集的噪声信号进行噪声暴露指数的计算，则用户只需要携带配置麦克风的设备即可知晓当前环境的噪声信号，以便于用户根据噪声暴露指数以更有效、更合理的 方式进行防护，从而提高用户的体验感。The number of online devices is acquired by the first acquisition module 100, the second acquisition module 200 acquires noise signals and exposure durations collected by microphones of different online devices, and the data processing module 300 performs data processing on the noise signals and exposure durations to obtain noise exposure values , and the average value processing module 400 averages the noise exposure value and the number of devices to obtain the noise exposure index, then the noise exposure index can be calculated according to the noise signal collected by the microphone, and the user only needs to carry the device equipped with the microphone to know the current environment noise signal, so that users can protect themselves in a more effective and reasonable way according to the noise exposure index, thereby improving the user experience.
其中，在线设备可以为带有实时时钟的耳机、运行手环、手机等，以根据用户携带的设备配置麦克风获取噪声信号和暴露时长，则可以计算得到噪声暴露指数，提高用户体验感。Among them, online devices can be earphones with real-time clocks, running bracelets, mobile phones, etc. According to the devices carried by users, the microphones can be configured to obtain noise signals and exposure time, and then the noise exposure index can be calculated to improve user experience.
参照图9，第三方面，本申请实施例还公开了一种电子设备，包括：Referring to Fig. 9, in the third aspect, the embodiment of the present application also discloses an electronic device, including:
至少一个处理器110，以及，at least one processor 110, and,
与所述至少一个处理器110通信连接的存储器120；其中，A memory 120 communicatively connected to the at least one processor 110; wherein,
所述存储器120存储有可被所述至少一个处理器110执行的指令，所述指令被所述至少一个处理器110执行，以使所述至少一个处理器110能够执行如第一方面所述的噪声暴露指数统计方法。The memory 120 stores instructions that can be executed by the at least one processor 110, and the instructions are executed by the at least one processor 110, so that the at least one processor 110 can execute the method described in the first aspect. Statistical method of noise exposure index.
第四方面，本申请实施例还公开了一种计算机可读存储介质，所述计算机可读存储介质存储有计算机可执行指令，所述计算机可执行指令用于使计算机执行如第一方面所述的噪声暴露指数统计方法。In the fourth aspect, the embodiment of the present application also discloses a computer-readable storage medium, the computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used to make a computer perform the Statistical method of noise exposure index.
以上所描述的装置实施例仅仅是示意性的，其中作为分离部件说明的单元可以是或者也可以不是物理上分开的，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部模块来实现本实施例方案的目的。The device embodiments described above are only illustrative, and the units described as separate components may or may not be physically separated, that is, they may be located in one place, or may be distributed to multiple network units. Part or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.
本领域普通技术人员可以理解，上文中所公开方法中的全部或某些步骤、***可以被实施为软件、固件、硬件及其适当的组合。某些物理组件或所有物理组件可以被实施为由处理器，如中央处理器、数字信号处理器或微处理器执行的软件，或者被实施为硬件，或者被实施为集成电路，如专用集成电路。这样的软件可以分布在计算机可读介质上，计算机可读介质可以包括计算机存储介质(或非暂时性介质)和通信介质(或暂时性介质)。如本领域普通技术人 员公知的，术语计算机存储介质包括在用于存储信息(诸如计算机可读指令、数据结构、程序模块或其他数据)的任何方法或技术中实施的易失性和非易失性、可移除和不可移除介质。计算机存储介质包括但不限于RAM、ROM、EEPROM、闪存或其他存储器技术、CD-ROM、数字多功能盘(DVD)或其他光盘存储、磁盒、磁带、磁盘存储或其他磁存储装置、或者可以用于存储期望的信息并且可以被计算机访问的任何其他的介质。此外，本领域普通技术人员公知的是，通信介质通常包含计算机可读指令、数据结构、程序模块或者诸如载波或其他传输机制之类的调制数据信号中的其他数据，并且可包括任何信息递送介质。Those skilled in the art can understand that all or some of the steps and systems in the methods disclosed above can be implemented as software, firmware, hardware and an appropriate combination thereof. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application-specific integrated circuit . Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). As known to those of ordinary skill in the art, the term computer storage media includes both volatile and nonvolatile media implemented in any method or technology for storage of information, such as computer readable instructions, data structures, program modules, or other data. permanent, removable and non-removable media. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disk (DVD) or other optical disk storage, magnetic cartridges, tape, magnetic disk storage or other magnetic storage devices, or can Any other medium used to store desired information and which can be accessed by a computer. In addition, as is well known to those of ordinary skill in the art, communication media typically embodies computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media .
以上仅为本申请的可选实施例而已，并不用于限制本申请。对于本领域的技术人员来说，本申请可以有各种更改和变化。凡在本申请的精神和原则之内，所作的任何修改、等同替换、改进等，均应包含在本申请的权利要求范围之内。The above are only optional embodiments of the application, and are not intended to limit the application. For those skilled in the art, various modifications and changes may occur in this application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application shall be included within the scope of the claims of the present application.

Claims (10)

  1. 一种噪声暴露指数统计方法，其特征在于，包括：A statistical method for noise exposure index, characterized in that it includes:
    获取在线设备的设备数量；Obtain the number of devices online;
    获取不同所述在线设备的麦克风采集的噪声信号，并获取所述噪声信号的暴露时长；Obtaining noise signals collected by microphones of different online devices, and obtaining the exposure time of the noise signals;
    将所述噪声信号和所述暴露时长进行数据处理，得到所述在线设备对应噪声暴露值；performing data processing on the noise signal and the exposure duration to obtain a noise exposure value corresponding to the online device;
    将所述噪声暴露值以所述设备数量进行平均处理，输出所述噪声暴露指数。The noise exposure value is averaged by the number of devices, and the noise exposure index is output.
  2. 根据权利要求1所述的噪声暴露指数统计方法，其特征在于，还包括：The noise exposure index statistical method according to claim 1, further comprising:
    获取初次连接的所述在线设备的初始时间信息和标准时间信息；Obtain initial time information and standard time information of the online device connected for the first time;
    根据所述标准时间信息对所述初始时间信息进行同步处理，得到同步时间信息；synchronizing the initial time information according to the standard time information to obtain synchronous time information;
    将所述同步时间信息发送至初次连接的所述在线设备。Send the synchronization time information to the online device connected for the first time.
  3. 根据权利要求1所述的噪声暴露指数统计方法，其特征在于，还包括：The noise exposure index statistical method according to claim 1, further comprising:
    根据预设的第一时间间隔周期采集所述在线设备的麦克风采集的所述噪声信号和所述暴露时长。The noise signal collected by the microphone of the online device and the exposure time are collected according to a preset first time interval cycle.
  4. 根据权利要求1至3任一项所述的噪声暴露指数统计方法，其特征在于，所述将所述噪声信号和所述暴露时长进行数据处理，得到所述在线设备对应噪声暴露值，包括：The noise exposure index statistical method according to any one of claims 1 to 3, wherein the data processing of the noise signal and the exposure duration to obtain the noise exposure value corresponding to the online device includes:
    将所述噪声信号进行傅里叶变换处理，得到噪声变换信号；performing Fourier transform processing on the noise signal to obtain a noise transform signal;
    将所述噪声变换信号进行补偿处理，得到补偿信号；performing compensation processing on the noise transformation signal to obtain a compensation signal;
    将所述补偿信号和所述暴露时长进行平均处理，得到所述噪声暴露值。The compensation signal and the exposure time are averaged to obtain the noise exposure value.
  5. 根据权利要求4所述的噪声暴露指数统计方法，其特征在于，所述将所 述补偿信号和所述暴露时长进行平均处理，得到所述噪声暴露值，包括：The noise exposure index statistical method according to claim 4, wherein said averaging processing of said compensation signal and said exposure duration to obtain said noise exposure value comprises:
    将所述补偿信号和所述暴露时长以预设的计算公式进行平均处理，得到所述噪声暴露值。The compensation signal and the exposure time are averaged using a preset calculation formula to obtain the noise exposure value.
  6. 根据权利要求3所述的噪声暴露指数统计方法，其特征在于，还包括：The noise exposure index statistical method according to claim 3, further comprising:
    根据预设的第二时间间隔周期获取所述在线设备的设备数量，所述第二时间间隔和所述第一时间间隔相同；Obtaining the device quantity of the online device according to a preset second time interval cycle, the second time interval being the same as the first time interval;
    根据所述第二时间间隔周期更新所述噪声暴露指数。The noise exposure index is periodically updated according to the second time interval.
  7. 根据权利要求6所述的噪声暴露指数统计方法，其特征在于，还包括：The noise exposure index statistical method according to claim 6, further comprising:
    将所述噪声暴露指数发送至预设的地址信息对应的地址链接。The noise exposure index is sent to the address link corresponding to the preset address information.
  8. 一种噪声暴露指数统计装置，其特征在于，包括：A noise exposure index statistical device, characterized in that it comprises:
    第一获取模块，用于获取在线设备的设备数量；The first obtaining module is used to obtain the device quantity of the online device;
    第二获取模块，用于获取不同所述在线设备的麦克风采集的噪声信号，并获取所述噪声信号的暴露时长；The second acquiring module is configured to acquire noise signals collected by microphones of different online devices, and acquire the exposure time of the noise signals;
    数据处理模块，用于将所述噪声信号和所述暴露时长进行数据处理，输出所述在线设备对应噪声暴露值；A data processing module, configured to perform data processing on the noise signal and the exposure duration, and output a noise exposure value corresponding to the online device;
    均值处理模块，用于将所述噪声暴露值以所述设备数量进行平均处理，得到所述噪声暴露指数。The average value processing module is configured to average the noise exposure value with the number of devices to obtain the noise exposure index.
  9. 一种电子设备，其特征在于，包括：An electronic device, characterized in that it comprises:
    至少一个处理器，以及，at least one processor, and,
    与所述至少一个处理器通信连接的存储器；其中，a memory communicatively coupled to the at least one processor; wherein,
    所述存储器存储有可被所述至少一个处理器执行的指令，所述指令被所述至少一个处理器执行，以使所述至少一个处理器能够执行如权利要求1至7任一项所述的噪声暴露指数统计方法。The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor, so that the at least one processor can perform the operation described in any one of claims 1 to 7. Statistical method of noise exposure index.
  10. 一种计算机可读存储介质，其特征在于，所述计算机可读存储介质存储有计算机可执行指令，所述计算机可执行指令用于使计算机执行如权利要求1至7任一项所述的噪声暴露指数统计方法。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 noise according to any one of claims 1 to 7. Exposure Index Statistical Method.
PCT/CN2022/092792 2021-08-31 2022-05-13 Noise exposure index statistical method and apparatus, and device and storage medium WO2023029581A1 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN202111009746.5A CN113739906B (en) 2021-08-31 2021-08-31 Noise exposure index statistical method, device, equipment and storage medium
CN202111009746.5 2021-08-31

Publications (1)

Publication Number Publication Date
WO2023029581A1 true WO2023029581A1 (en) 2023-03-09

Family

ID=78734109

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2022/092792 WO2023029581A1 (en) 2021-08-31 2022-05-13 Noise exposure index statistical method and apparatus, and device and storage medium

Country Status (2)

Country Link
CN (1) CN113739906B (en)
WO (1) WO2023029581A1 (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113739906B (en) * 2021-08-31 2023-12-15 深圳市飞科笛***开发有限公司 Noise exposure index statistical method, device, equipment and storage medium
CN114216557B (en) * 2021-12-21 2023-12-29 中国疾病预防控制中心职业卫生与中毒控制所 Method and device for measuring normalized noise exposure level

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106769154A (en) * 2017-02-14 2017-05-31 安徽工程大学 A kind of method for the monitoring of plant equipment operating noise
CN106840373A (en) * 2016-12-26 2017-06-13 中国人民解放军空军装备研究院雷达与电子对抗研究所 Aircraft noise monitoring method and its device
CN110793621A (en) * 2018-08-03 2020-02-14 上海汽车变速器有限公司 Method and system for evaluating order noise of power system of pure electric vehicle
CN110874565A (en) * 2018-08-30 2020-03-10 英飞凌科技股份有限公司 Apparatus and method for event classification based on barometric sensor data
CN113739906A (en) * 2021-08-31 2021-12-03 深圳市飞科笛***开发有限公司 Noise exposure index statistical method, device, equipment and storage medium

Family Cites Families (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6456199B1 (en) * 2000-02-18 2002-09-24 Dosebusters Usa Continuous noise monitoring and reduction system and method
US20050244013A1 (en) * 2004-04-29 2005-11-03 Quest Technologies Noise exposure monitoring device
EP1816892B1 (en) * 2006-02-01 2009-08-19 Dietmar Dr. Ruwisch Method and apparatus for protection of the hearing of telephone users
FR2912213B1 (en) * 2007-02-06 2009-04-03 Devinant Frederic Louis Christ DEVICE AND METHOD FOR EVALUATING THE SOUND EXPOSURE OF AN INDIVIDUAL
CN101690256B (en) * 2007-07-09 2014-07-23 Gn奈康有限公司 Headset system comprising a noise dosimete
CN102980652A (en) * 2012-11-14 2013-03-20 广东电网公司电力科学研究院 Single noise exposure protective device
CN103052150B (en) * 2012-11-19 2015-07-15 安徽工程大学 Wireless sensor network time synchronization method
CN103440411B (en) * 2013-08-15 2016-08-24 中山大学 Set up based on exposed population group area the method for traffic noise pollution model of acoustic environment functional areas
TWM497826U (en) * 2014-11-18 2015-03-21 Peng-Yao Wang Noise exposure evaluation apparatus using wireless positioning communication
CN104581536B (en) * 2015-01-26 2018-11-13 深圳市冠旭电子股份有限公司 A kind of control earphone noise-reduction method and device
US20170372242A1 (en) * 2016-06-27 2017-12-28 Hartford Fire Insurance Company System to monitor and process noise level exposure data
WO2018075715A1 (en) * 2016-10-19 2018-04-26 Red Tail Hawk Corporation In-ear noise dosimetry system
US11215500B2 (en) * 2019-06-01 2022-01-04 Apple Inc. Environmental and aggregate acoustic dosimetry
CN212261683U (en) * 2020-08-17 2021-01-01 北京市劳动保护科学研究所 Hearing protection device
CN113254883A (en) * 2021-06-07 2021-08-13 北京市化工职业病防治院(北京市职业病防治研究院) Group noise risk degree evaluation method

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106840373A (en) * 2016-12-26 2017-06-13 中国人民解放军空军装备研究院雷达与电子对抗研究所 Aircraft noise monitoring method and its device
CN106769154A (en) * 2017-02-14 2017-05-31 安徽工程大学 A kind of method for the monitoring of plant equipment operating noise
CN110793621A (en) * 2018-08-03 2020-02-14 上海汽车变速器有限公司 Method and system for evaluating order noise of power system of pure electric vehicle
CN110874565A (en) * 2018-08-30 2020-03-10 英飞凌科技股份有限公司 Apparatus and method for event classification based on barometric sensor data
CN113739906A (en) * 2021-08-31 2021-12-03 深圳市飞科笛***开发有限公司 Noise exposure index statistical method, device, equipment and storage medium

Also Published As

Publication number Publication date
CN113739906A (en) 2021-12-03
CN113739906B (en) 2023-12-15

Similar Documents

Publication Publication Date Title
WO2023029581A1 (en) Noise exposure index statistical method and apparatus, and device and storage medium
US20230111715A1 (en) Fitting method and apparatus for hearing earphone
US11638085B2 (en) System, device and method for assessing a fit quality of an earpiece
CN101902677B (en) Audio detection device and method
AU2010200103B2 (en) System to estimate the sound pressure level at eardrum using measurements away from the eardrum
CN114143646B (en) Detection method, detection device, earphone and readable storage medium
CN104661153A (en) Earphone sound effect compensation method and device as well as earphone
EP3327932B1 (en) Method and apparatus for adjusting sound field of earphone, terminal and earphone
US8320573B2 (en) Adaptive hearing device and method for providing a hearing aid
CN102883121A (en) Method and device for regulating volume, and digital terminal
Gubbi et al. A pilot study of urban noise monitoring architecture using wireless sensor networks
EP3905721A1 (en) Method for calibrating an ear-level audio processing device
US11215500B2 (en) Environmental and aggregate acoustic dosimetry
US20230276184A1 (en) Remotely updating a hearing aid profile
O'Brien et al. Validity and reliability of in-situ air conduction thresholds measured through hearing aids coupled to closed and open instant-fit tips
US11818554B2 (en) Headset playback acoustic dosimetry
CN109246517A (en) A kind of noise reduction microphone bearing calibration, wireless headset and the charging box of wireless headset
WO2023035626A1 (en) Method and apparatus for adjusting volume of earphone, and earphone
JP2019030012A (en) Mobile video image communication quality measurement method and system
CN112131079B (en) Data monitoring method, device, electronic equipment and storage medium
US8036392B2 (en) Method and device for determining an effective vent
Gunatilaka An iot-enabled acoustic sensing platform for noise pollution monitoring
WO2020073564A1 (en) Method and apparatus for detecting loudness of audio signal
CN114979923A (en) Method, device and storage medium for determining hearing loss curve
CN112235690B (en) Method and device for adjusting audio signal, earphone assembly and readable storage medium

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 22862724

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE