High-speed rail waiting hall intelligent broadcasting system capable of automatically adjusting frequency and volume

Abstract

The invention discloses a high-speed rail waiting hall intelligent broadcasting system capable of automatically adjusting frequency and volume, and belongs to the technical field of intelligent broadcasting, and the system comprises an information collection module which is used for collecting background noise sound signals in a waiting hall in real time; the noise identification module is used for identifying volume and frequency information in the background noise sound signal; the data processing calculation module is used for calculating the current human ear sensitive frequency and volume in the waiting hall and dynamically adjusting the volume and broadcasting frequency of a loudspeaker; the broadcast control system is used for generating an adjusting instruction according to the adjusted volume and broadcast frequency; the broadcast regulator is used for automatically regulating the volume and the broadcast frequency of the loudspeaker according to the regulation instruction; and the loudspeaker is used for playing the broadcast information. According to the invention, the background noise condition in the waiting hall can be captured in real time, the volume and frequency of noise are identified through intelligent analysis, and the volume and frequency of broadcast are dynamically adjusted, so that the definition of broadcast and the comfort level of passengers are improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of intelligent broadcasting, and in particular relates to an intelligent broadcasting system for a high-speed railway waiting hall which can automatically adjust frequency and volume. Background Art

[0002] With the rapid development of high-speed railways, high-speed railway waiting halls have become an important gathering place for passengers. However, due to the large flow of people and various noise sources in the waiting halls, the quality of the acoustic environment in the waiting halls is generally poor. In these waiting halls, the background noise mainly comes from the conversations of passengers, the noise generated by the passing of trains, and the announcements of the broadcasting system. Especially during peak hours, these noise sources overlap with each other, causing the background noise level to rise sharply, seriously affecting the clarity of the broadcast information and the waiting experience of passengers.

[0003] The existing waiting hall broadcasting system usually adopts manual debugging and cannot be dynamically adjusted according to the actual noise environment. In a high noise environment, the reverberation time will be too long, resulting in a high noise level in the hall and poor broadcast clarity. The broadcast information is difficult to be clearly received by passengers, thus reducing the practicality of the broadcast and the satisfaction of passengers. Moreover, excessive noise levels will also have an adverse effect on the physical and mental health of passengers. Therefore, how to effectively control and optimize the acoustic environment of the waiting hall and improve the clarity and comfort of the broadcast has become a technical problem that needs to be solved urgently. Summary of the invention

[0004] The purpose of the present invention is to address the above-mentioned deficiencies in the prior art and provide a high-speed railway waiting hall intelligent broadcasting system that automatically adjusts the frequency and volume, so as to solve the problem that the existing waiting hall broadcasting system usually adopts a manual debugging method and cannot be dynamically adjusted according to the actual noise environment.

[0005] In order to achieve the above object, the technical solution adopted by the present invention is:

[0006] An intelligent broadcasting system for a high-speed railway waiting hall that automatically adjusts frequency and volume, comprising an information collection module, a noise recognition module, a data processing and calculation module, a broadcasting control system, a broadcasting regulator and a speaker;

[0007] The information collection module is used to collect the background noise sound signal in the waiting hall in real time and transmit the collected background noise sound signal to the noise recognition module;

[0008] A noise recognition module is used to recognize the volume and frequency information in the background noise sound signal and transmit the volume and frequency information to the data processing and calculation module;

[0009] The data processing and calculation module is used to calculate the frequency and volume that the human ear is sensitive to in the waiting hall according to the volume and frequency information, dynamically adjust the volume and broadcast frequency of the loudspeaker, and transmit the adjusted volume and broadcast frequency to the broadcast control system;

[0010] A broadcast control system, for generating an adjustment instruction according to the adjusted volume and broadcast frequency, and transmitting the adjustment instruction to the broadcast regulator;

[0011] A broadcast regulator, used to automatically adjust the volume and broadcast frequency of the speaker according to the adjustment instructions;

[0012] The loudspeaker is used to play the broadcast information according to the received volume and broadcast frequency.

[0013] Furthermore, the information collection module includes a plurality of microphones; the plurality of microphones are respectively arranged at two ticket gates on the first floor of the waiting hall, the center of the waiting hall, and the passageway between each elevator and the stairs.

[0014] Furthermore, the microphone is installed at a height of 1.5 meters from the ground.

[0015] Furthermore, the noise recognition module includes a volume recognition submodule and a frequency recognition submodule.

[0016] Furthermore, the volume recognition submodule calculates the equivalent continuous sound pressure level of the background noise sound signal to recognize the volume of the background noise, specifically:

[0017]

[0018] Where Leq is the equivalent continuous sound pressure level, L(t) is the instantaneous sound pressure level of the background noise signal at time t, and T is the total observation time.

[0019] Furthermore, the frequency recognition submodule uses fast Fourier transform to calculate the frequency distribution of the continuous background noise sound input signal x(t):

[0020]

[0021] Wherein, X(f) is the Fourier transform of the continuous background noise sound input signal x(t); f is the frequency of the continuous background noise sound signal, j is the imaginary unit, and t is time;

[0022] The frequency distribution of the continuous sound output signal y(t) is calculated using fast Fourier transform:

[0023]

[0024] Where Y(f) is the Fourier transform of the continuous sound output signal y(t);

[0025] For a discrete background noise sound input signal, its discrete Fourier transform is:

[0026]

[0027] Where X[k] is the complex amplitude of the kth frequency component, k is the frequency index, x[n] is the discrete sample of the background noise sound input signal, n is the time index, and N is the total number of samples;

[0028] For discrete background noise sound signals, its discrete Fourier transform is:

[0029]

[0030] Where Y[k] is the complex amplitude of the kth frequency component and y[n] is the discrete sample of the sound output signal.

[0031] Furthermore, the data processing and calculation module calculates the frequency and volume that the human ear is sensitive to in the waiting hall according to the volume and frequency information, including:

[0032] The volume is adjusted to:

[0033]

[0034] Among them, L new is the adjusted speaker volume, L old is the original volume of the speaker, L noise is the current background noise volume, L ref is the reference noise volume, K is the coefficient;

[0035] The frequency is adjusted to:

[0036]

[0037] Where G(f) is the gain at frequency f, P out (f) is the output power of the speaker, P in (f) is the input power of the speaker.

[0038] Furthermore, the input power P of the speaker in (f) is:

[0039] P in (f)=|X(f)| 2

[0040] The output power of the speaker is P out (f) is:

[0041] P out (f)=|Y(f)| 2

[0042] Wherein, X(f) is the Fourier transform of the continuous background noise sound input signal x(t); Y(f) is the Fourier transform of the continuous sound output signal y(t).

[0043] Furthermore, the data processing and calculation module dynamically adjusts the volume and broadcast frequency of the speaker, including:

[0044] L final =L new +G(f)

[0045] Among them, L final is the final loudspeaker volume sound pressure level.

[0046] The high-speed railway waiting hall intelligent broadcasting system with automatic frequency and volume adjustment provided by the present invention has the following beneficial effects:

[0047] 1. The present invention sets microphones at different positions in the waiting hall to fully capture the noise situation, and automatically adjusts the volume and frequency of the broadcast according to the real-time noise data, ensuring that the broadcast information is clear in different noise environments, so that passengers can hear the broadcast content more clearly. By reducing the interference of noise on passengers' auditory experience, the comfort of passengers in the waiting hall is improved, and the discomfort caused by noise is reduced.

[0048] 2. The automatic adjustment function of the present invention reduces the reliance on manual adjustment, realizes intelligent sound environment management, improves the automation level of station operation, and also reduces the operating cost of the station. The user interface provided allows operators to manually adjust the parameters of the adjustment algorithm according to actual conditions, so that the system can adapt to different usage scenarios and needs, increasing the flexibility and adaptability of the system.

[0049] 3. The modular design of the system of the present invention makes maintenance and upgrading easier and can quickly adapt to changes in technological development and user needs.

[0050] 4. The automatic adjustment of the volume and frequency of the broadcast in the present invention helps to reduce the reverberation time in the waiting hall, reduce noise pollution, and improve the overall noise level in the waiting hall, which is in line with the concept of sustainable development. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 Flowchart of the intelligent broadcasting system in the high-speed railway waiting hall that automatically adjusts the frequency and volume.

[0052] Figure 2 The figure is a schematic diagram of the installation position of the microphone in the high-speed railway waiting hall of the present invention.

[0053] Figure 3 It is a flow chart of the data processing calculation module of the present invention. DETAILED DESCRIPTION

[0054] The specific implementation modes of the present invention are described below so that those skilled in the art can understand the present invention. However, it should be clear that the present invention is not limited to the scope of the specific implementation modes. For those of ordinary skill in the art, as long as various changes are within the spirit and scope of the present invention as defined and determined by the attached claims, these changes are obvious, and all inventions and creations utilizing the concept of the present invention are protected.

[0055] Example 1

[0056] This embodiment provides a high-speed rail waiting hall intelligent broadcasting system that automatically adjusts the frequency and volume. This embodiment ensures the clarity of broadcast information in various noise environments by real-time monitoring of the background noise in the waiting hall and automatically adjusting the volume and frequency of the broadcast, so that passengers can hear the broadcast content more clearly. By reducing the interference of noise on the passengers' auditory experience, the comfort of passengers in the waiting hall is improved and the discomfort caused by noise is reduced. Figure 1 , which specifically include:

[0057] Information collection module, noise recognition module, data processing and calculation module, broadcast control system, broadcast regulator and loudspeaker;

[0058] Each of the above modules or devices will be described in detail below;

[0059] Information collection module;

[0060] It is used to collect the background noise sound signal in the waiting hall in real time, and transmit the collected background noise sound signal to the noise recognition module;

[0061] As a preferred embodiment of this embodiment, the information collection module includes a plurality of microphones, and the plurality of microphones are respectively arranged at two ticket gates on the first floor of the waiting hall, in the center of the waiting hall, and at the passageway between each elevator and the stairs.

[0062] The microphone of this embodiment completes the communication connection with the noise recognition module via the communication route.

[0063] For more specific information, see Figure 2The microphones are arranged at two monitoring points ① and ② at the two ticket gates on the first floor, at a monitoring point ③ in the center of the waiting hall, at a monitoring point at the entrance of each elevator and staircase, and at monitoring points ④⑤⑥⑦ respectively; by arranging microphones at different positions in the waiting hall, this embodiment can comprehensively capture the noise conditions in the waiting hall, ensure that the broadcasting system can effectively adapt to the complex environment for further studies, so as to improve the clarity of the broadcasting and the comfort of the passengers; the microphone is installed at a height of 1.5 meters from the ground, which is close to the height of the human ear, so as to more accurately capture the actual noise level felt by the human ear and better simulate the auditory experience of the passengers.

[0064] Noise recognition module;

[0065] It is used to identify the volume and frequency information in the background noise sound signal, and transmit the volume and frequency information to the data processing and calculation module;

[0066] Wherein, the noise recognition module includes a volume recognition submodule and a frequency recognition submodule;

[0067] The volume recognition submodule calculates the equivalent continuous sound pressure level of the background noise sound signal to identify the volume of the background noise, specifically:

[0068]

[0069] Where Leq is the equivalent continuous sound pressure level, L(t) is the instantaneous sound pressure level of the background noise signal at time t, T is the total observation time, and each acquisition time domain is 10s; represents the integral over time T.

[0070] The frequency recognition submodule uses fast Fourier transform to calculate the main frequency distribution of the continuous background noise sound input signal x(t):

[0071]

[0072] Wherein, X(f) is the Fourier transform of the continuous background noise sound input signal x(t); f is the frequency of the continuous background noise sound signal, j is the imaginary unit, and t is time;

[0073] For a discrete background noise sound input signal, its discrete Fourier transform is:

[0074]

[0075] Where X[k] is the complex amplitude of the kth frequency component, k is the frequency index, x[n] is the discrete sample of the background noise sound input signal, n is the time index, N is the total number of samples, and j is the imaginary unit.

[0076] The main frequency distribution of the continuous sound output signal y(t) is calculated using fast Fourier transform:

[0077]

[0078] Where Y(f) is the Fourier transform of the continuous sound output signal y(t); f is the signal frequency, j is the imaginary unit, and t is time;

[0079] For discrete background noise sound signals, its discrete Fourier transform is:

[0080]

[0081] Where Y[k] is the complex amplitude of the kth frequency component, k is the frequency index, y[n] is the discrete sample of the sound output signal, n is the time index, N is the total number of samples, and j is the imaginary unit.

[0082] Data processing and calculation module;

[0083] It is used to calculate the frequency and volume that the human ear is sensitive to in the waiting hall according to the volume and frequency information, dynamically adjust the volume and broadcast frequency of the loudspeaker, and transmit the adjusted volume and broadcast frequency to the broadcast control system;

[0084] Specifically, based on the volume and frequency information, the frequency and volume that the human ear is sensitive to in the waiting hall are calculated;

[0085] The volume is adjusted as follows:

[0086]

[0087] Among them, L new is the volume of the speaker after adjustment; L old is the original volume of the speaker; L noise is the current background noise volume, which is the equivalent continuous sound pressure level Leq calculated currently; L ref is the reference noise volume (usually 70dB); K is a coefficient determined according to the human hearing characteristics and environmental requirements;

[0088] Speaker input power:

[0089] P in (f)=|X(f)| 2

[0090] Speaker output power:

[0091] P out (f)=|Y(f)| 2

[0092] The frequency is adjusted to:

[0093]

[0094] Where G(f) is the gain at frequency f, P out (f) is the output power of the speaker, P in (f) is the input power of the speaker.

[0095] The volume and frequency are adjusted in a linked manner to dynamically adjust the volume and broadcast frequency of the speaker, including:

[0096] L final =L new +G(f)

[0097] Among them, L final is the final loudspeaker volume sound pressure level.

[0098] Broadcast control system;

[0099] refer to Figure 3 It is used to generate adjustment instructions according to the adjusted volume and broadcast frequency. The automated sound environment management reduces the dependence on manual adjustment, thereby reducing the operating costs of the station. It has a user interface that allows operators to manually adjust the parameters of the adjustment algorithm, so that the system can adapt to different usage scenarios and needs, increasing the flexibility and adaptability of the system.

[0100] Broadcast moderator;

[0101] It is used to automatically adjust the volume and broadcast frequency of the speaker according to the adjustment instructions;

[0102] Specifically, the volume and broadcast frequency of the speaker are automatically adjusted to ensure the clarity of broadcast information in different noise environments. Clear broadcast information and a comfortable waiting environment help improve the overall service quality of the station and enhance passenger satisfaction and loyalty.

[0103] speaker;

[0104] Used to play broadcast information according to the received volume and broadcast frequency.

[0105] Although the specific implementation of the invention is described in detail in conjunction with the drawings, it should not be understood as limiting the scope of protection of this patent. Within the scope described in the claims, various modifications and variations that can be made by those skilled in the art without creative work still fall within the scope of protection of this patent.

Claims

1. An intelligent broadcasting system for high-speed railway waiting halls that automatically adjusts frequency and volume, characterized in that: It includes information collection module, noise recognition module, data processing and calculation module, broadcast control system, broadcast regulator and loudspeaker; The information collection module is used to collect the background noise sound signal in the waiting hall in real time and transmit the collected background noise sound signal to the noise recognition module; A noise recognition module is used to recognize the volume and frequency information in the background noise sound signal and transmit the volume and frequency information to the data processing and calculation module; The data processing and calculation module is used to calculate the frequency and volume that the human ear is sensitive to in the waiting hall according to the volume and frequency information, dynamically adjust the volume and broadcast frequency of the loudspeaker, and transmit the adjusted volume and broadcast frequency to the broadcast control system; A broadcast control system, for generating an adjustment instruction according to the adjusted volume and broadcast frequency, and transmitting the adjustment instruction to the broadcast regulator; A broadcast regulator, used to automatically adjust the volume and broadcast frequency of the speaker according to the adjustment instructions; The loudspeaker is used to play the broadcast information according to the received volume and broadcast frequency.

2. The high-speed railway waiting hall intelligent broadcasting system with automatic frequency and volume adjustment according to claim 1 is characterized in that: The information collection module comprises a plurality of microphones; the plurality of microphones are respectively arranged at two ticket gates on the first floor of the waiting hall, the center of the waiting hall, and the passageway between each elevator and the stairs.

3. The high-speed railway waiting hall intelligent broadcasting system with automatic frequency and volume adjustment according to claim 2 is characterized in that: The microphone is installed at a height of 1.5 meters from the ground.

4. The high-speed railway waiting hall intelligent broadcasting system with automatic frequency and volume adjustment according to claim 1 is characterized in that: The noise recognition module includes a volume recognition submodule and a frequency recognition submodule.

5. The high-speed railway waiting hall intelligent broadcasting system with automatic frequency and volume adjustment according to claim 4 is characterized in that: The volume identification submodule calculates the equivalent continuous sound pressure level of the background noise sound signal to identify the volume of the background noise, specifically: Where Leq is the equivalent continuous sound pressure level, L(t) is the instantaneous sound pressure level of the background noise signal at time t, and T is the total observation time.

6. The high-speed railway waiting hall intelligent broadcasting system with automatic frequency and volume adjustment according to claim 4 is characterized in that: The frequency recognition submodule uses fast Fourier transform to calculate the frequency distribution of the continuous background noise sound input signal x(t): Wherein, X(f) is the Fourier transform of the continuous background noise sound input signal x(t); f is the frequency of the continuous background noise sound signal, j is the imaginary unit, and t is time; The frequency distribution of the continuous sound output signal y(t) is calculated using fast Fourier transform: Where Y(f) is the Fourier transform of the continuous sound output signal y(t); For a discrete background noise sound input signal, its discrete Fourier transform is: Where X[k] is the complex amplitude of the kth frequency component, k is the frequency index, x[n] is the discrete sample of the background noise sound input signal, n is the time index, and N is the total number of samples; For discrete background noise sound signals, its discrete Fourier transform is: Where Y[k] is the complex amplitude of the kth frequency component and y[n] is the discrete sample of the sound output signal.

7. The high-speed railway waiting hall intelligent broadcasting system with automatic frequency and volume adjustment according to claim 1 is characterized in that: The data processing and calculation module calculates the frequency and volume that the human ear is sensitive to in the waiting hall according to the volume and frequency information, including: The volume is adjusted to: Among them, L new is the adjusted speaker volume, L old is the original volume of the speaker, L noise is the current background noise volume, L ref is the reference noise volume, K is the coefficient; The frequency is adjusted to: Where G(f) is the gain at frequency f, P out (f) is the output power of the speaker, P in (f) is the input power of the speaker.

8. The high-speed railway waiting hall intelligent broadcasting system with automatic frequency and volume adjustment according to claim 7 is characterized in that: The speaker input power P in (f) is: P in (f)=|X(f)| 2 The output power of the speaker is P out (f) is: P out (f)=|Y(f)| 2 Wherein, X(f) is the Fourier transform of the continuous background noise sound input signal x(t); Y(f) is the Fourier transform of the continuous sound output signal y(t).

9. The high-speed railway waiting hall intelligent broadcasting system with automatic frequency and volume adjustment according to claim 7 is characterized in that: The data processing and calculation module dynamically adjusts the volume and broadcast frequency of the speaker, including: L final =L new +G(f) Among them, L final is the final loudspeaker volume sound pressure level.

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