Intelligent public broadcast control method and system

Abstract

The invention relates to the technical field of public broadcast, and discloses an intelligent public broadcast control method and system, and the system consists of a personnel positioning module, a region division and management module, a dynamic volume adjustment module, an environment adaptability module, an individual and group mode module, and a feedback mechanism module. According to the invention, through Wi-Fi, Bluetooth beacon or camera technology, people flow and personnel distribution in a public area are monitored and analyzed in real time, and the area is divided into a plurality of intelligent sub-areas, so that the system can know the personnel density and distribution condition of each sub-area in detail, and the volume can be dynamically adjusted to meet the requirements of different areas; the area with dense people needs a high volume to ensure that the broadcast can cover all audiences, and the area with rare people reduces the volume to avoid unnecessary noise, so that the beneficial effect of adjusting the volume required by the broadcast according to different subareas of the public area is achieved.

Description

Technical Field

[0001] The present invention relates to the field of public broadcasting technology, and in particular to an intelligent public broadcasting control method and system. Background Art

[0002] The existing public broadcasting system has a relatively simple zone broadcasting function in the application. Generally, only the host or the host sub-control device can control the switch of each area and select the broadcast content. In applications such as museums and exhibition halls, the sound amplification needs to be carried out with the tour guide as the center, so that the guests following the tour guide can clearly hear the tour guide's explanation, but at the same time, the sound of other areas is not desired. The existing broadcasting system cannot meet such needs. In order to achieve sound amplification, tour guides now generally use loudspeakers, waist-mounted speakers and other equipment to achieve the sound amplification function. These types of equipment have obvious disadvantages, such as large and bulky size, poor sound quality, etc., and the equipment is independent and cannot be managed uniformly by a host to broadcast unified content.

[0003] In order to solve the defects of the existing technology, a search found an intelligent public broadcasting control method and system with publication number CN 106357359 A, which integrates public broadcasting and personnel positioning into one platform, and uses technologies such as big data analysis to significantly expand the fixed functions of public broadcasting, realizing intelligent functions that traditional public broadcasting cannot achieve.

[0004] Although the aforementioned technical solution can integrate public broadcasting and personnel positioning to realize voice paging broadcasting for designated areas, this function can only be performed through rough regional division to broadcast separately. The sizes of different areas are inconsistent, and the flow of people in different areas is inconsistent. The sound required by places with large flow of people is inconsistent with the sound required by places with small flow of people. Simply dividing the area cannot achieve accurate broadcasting. On the contrary, the broadcast may be inaudible due to the size of the area and the flow of people. At the same time, the public exhibition area is divided into group visits and individual visits. During individual visits, the sound is too loud to affect the visiting experience, and if there are too many people, the broadcast sound is difficult to penetrate the crowd. Summary of the invention

[0005] Technical issues solved:

[0006] In view of the deficiencies of the prior art, the present invention provides an intelligent public broadcasting control method and system, which has the advantages of being able to adjust the volume required for the broadcast according to different partitions of the public area, and automatically adjusting the broadcast sound according to the number of people in the divided area to ensure that the crowd can receive the broadcast information, thereby solving the problems of the above-mentioned technology.

[0007] Technical solution:

[0008] To achieve the above objectives, the present invention provides the following technical solutions: a smart public broadcasting control method, the control method is specifically:

[0009] Step 1: Personnel positioning and area division: Use Wi-Fi positioning, Bluetooth beacons or camera analysis to achieve personnel positioning, monitor the flow and distribution of people in each area in real time, divide the public area into several smart sub-areas, and update the flow information of each sub-area in real time;

[0010] Step 2: Dynamic volume adjustment algorithm: Collect the traffic data, area, and sound propagation characteristics of each area, and establish a volume calculation model based on area and traffic. Use regression analysis algorithm to determine the volume level. A high volume is required in large areas or areas with a large flow of people, while a low volume is required in small areas or areas with a small flow of people.

[0011] Step 3: Environmental adaptability: Equipped with an environmental noise sensor to detect the background noise level. If the background noise is high, increase the broadcast volume; if the noise level is low, reduce the broadcast volume;

[0012] Step 4: Individual and group modes: When an individual visit is detected, the broadcast volume is lowered to reduce interference to visitors and increase sound clarity. When a group visit is detected, the broadcast volume is increased to ensure that the sound can penetrate the crowd and reach every visitor.

[0013] Step 5: Feedback mechanism: During the broadcast process, users are allowed to provide their opinions on the broadcast volume through mobile terminals and adjustments are made based on the feedback.

[0014] A smart public broadcasting control system, the control system is composed of a personnel positioning module, an area division and management module, a dynamic volume adjustment module, an environmental adaptability module, an individual and group mode module and a feedback mechanism module, and the control system is integrated by a control method;

[0015] The personnel positioning module uses Wi-Fi positioning, Bluetooth beacon or camera analysis technology to monitor the distribution and flow of personnel in public areas in real time;

[0016] The area division and management module is used to divide the public area into several intelligent sub-areas and update the personnel distribution and flow information of each sub-area in real time;

[0017] The dynamic volume adjustment module is used to calculate and adjust the appropriate volume level using a regression analysis algorithm according to the flow of people in each area, the area of ​​the area and the sound propagation characteristics;

[0018] The environmental adaptability module is used to detect the background noise level and automatically adjust the broadcast volume to adapt to the environmental noise according to the detection result;

[0019] The individual and group mode modules are used to automatically adjust the broadcast volume according to the detected visit mode to adapt to different visit needs;

[0020] The feedback mechanism module is used to allow the user to provide feedback on the broadcast volume through the mobile terminal, and adjust the broadcast volume according to the feedback.

[0021] Preferably, the personnel positioning module expression is:

[0022] Using t different technologies to locate people, where each technology i includes Wi-Fi, Bluetooth beacons, and cameras, the detection results are:

[0023] P i,t ={(x j,i,t ,y j,i,t )|j∈detected person index}

[0024] in:

[0025] (x j,i,t ,y j,i,t ) are the coordinates of the jth individual at technology i and time t.

[0026] Preferably, the distribution expression of personnel in the area in the personnel positioning module is:

[0027] The public area is divided into k sub-areas, and the area of ​​each sub-area k is A k , the number of people N in the kth sub-area at time t k,t It is expressed as:

[0028]

[0029] in:

[0030] represents the sum of all technologies i;

[0031] A k is the range of the kth sub-region.

[0032] Preferably, the expression of the flow of people in the personnel positioning module is:

[0033]

[0034] in:

[0035] Δt is the time interval.

[0036] Preferably, the regional division expression in the regional division and management module is:

[0037] A={A k|k=1,2,…,K}.

[0038] Preferably, the dynamic volume adjustment module expression is:

[0039] Regression Analysis:

[0040] f(x)=β0+β1x1+β2x2+β3x3

[0041] in:

[0042] f(x) is the volume level;

[0043] β1, β2, and β3 are coefficients;

[0044] x2 is the area of ​​the region;

[0045] Volume adjustment:

[0046]

[0047] in:

[0048] V is the volume after dynamic adjustment;

[0049] V practical This is the maximum value of the volume range in actual use.

[0050] Preferably, the environmental adaptability module expression is:

[0051] Background noise detection, the background noise level is N bg :N bg = detected background noise level; Volume adjustment: The adjustment of the broadcast volume V is based on the background noise level and the preset target volume. Set the target volume V target And the noise adjustment factor α:

[0052] V=V target +α(N bg -N ref )

[0053] in:

[0054] V is the adjusted broadcast volume;

[0055] α is the noise adjustment coefficient, which reflects the impact of background noise on the broadcast volume.

[0056] Preferably, the individual and group model modules are expressed as:

[0057] Visit mode detection:

[0058]

[0059] Volume adjustment:

[0060] V=V base +α M (NN ref )

[0061] where α M The calculation method is:

[0062]

[0063] in:

[0064] V is the adjusted broadcast volume;

[0065] α M is the mode coefficient, which depends on the visit mode M;

[0066] N ref It refers to the background noise level or the flow of people.

[0067] Preferably, the feedback mechanism module is expressed as:

[0068] Volume adjustment formula, the adjusted broadcast volume V is based on the user's feedback F and a feedback adjustment coefficient β, setting the baseline volume V base , the adjusted broadcast volume is expressed by the following formula:

[0069] V=V base +β(FF ref )

[0070] in:

[0071] V is the adjusted broadcast volume;

[0072] β is the feedback adjustment coefficient, which reflects the influence of user feedback on the volume;

[0073] F ref The reference feedback amount is the target feedback amount or neutral feedback amount of the system.

[0074] Compared with the prior art, the present invention provides a smart public broadcast control method and system, which has the following beneficial effects:

[0075] 1. The present invention uses Wi-Fi, Bluetooth beacon or camera technology to monitor and analyze the flow of people and distribution of people in public areas in real time, and divides the area into multiple intelligent sub-areas, so that the system can understand the density and distribution of people in each sub-area in detail, and can dynamically adjust the volume to meet the needs of different areas. High volume is required in densely populated areas to ensure that the broadcast can cover all listeners, while the volume is reduced in sparsely populated areas to avoid unnecessary noise, thereby achieving the beneficial effect of being able to adjust the volume required for the broadcast according to different partitions of the public area.

[0076] 2. By collecting personnel flow data and area of ​​each area, the present invention can establish a volume calculation model. Crowded areas require a higher volume to ensure that the broadcast can cover everyone, while sparsely populated areas set a lower volume to avoid interference caused by excessive volume. When an individual is detected, the system will lower the volume to reduce interference to the individual and improve the clarity of the sound. When a group is detected, the system will increase the volume to ensure that the sound penetrates the crowd and reaches every visitor. By adapting to different visiting modes, the broadcast volume can be optimized according to the actual needs of the crowd to ensure that everyone can clearly receive the broadcast information, thereby achieving the beneficial effect of automatically adjusting the broadcast sound according to the number of people in the divided area to ensure that the crowd can receive the broadcast information. BRIEF DESCRIPTION OF THE DRAWINGS

[0077] Figure 1 Schematic diagram of the method of the present invention. DETAILED DESCRIPTION

[0078] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0079] See also Figure 1 , a smart public broadcasting control method, characterized in that the control method is specifically:

[0080] Step 1: Personnel positioning and area division: Use Wi-Fi positioning, Bluetooth beacons or camera analysis to achieve personnel positioning, monitor the flow and distribution of people in each area in real time, divide the public area into several smart sub-areas, and update the flow information of each sub-area in real time;

[0081] Step 2: Dynamic volume adjustment algorithm: Collect the traffic data, area, and sound propagation characteristics of each area, and establish a volume calculation model based on area and traffic. Use regression analysis algorithm to determine the volume level. A high volume is required in large areas or areas with a large flow of people, while a low volume is required in small areas or areas with a small flow of people.

[0082] Step 3: Environmental adaptability: Equipped with an environmental noise sensor to detect the background noise level. If the background noise is high, increase the broadcast volume; if the noise level is low, reduce the broadcast volume;

[0083] Step 4: Individual and group modes: When an individual visit is detected, the broadcast volume is lowered to reduce interference to visitors and increase sound clarity. When a group visit is detected, the broadcast volume is increased to ensure that the sound can penetrate the crowd and reach every visitor.

[0084] Step 5: Feedback mechanism: During the broadcast process, users are allowed to provide their opinions on the broadcast volume through mobile terminals and adjustments are made based on the feedback.

[0085] An intelligent public broadcasting control system, the control system is composed of a personnel positioning module, an area division and management module, a dynamic volume adjustment module, an environmental adaptability module, an individual and group mode module and a feedback mechanism module, and the control system is integrated by a control method;

[0086] The personnel positioning module uses Wi-Fi positioning, Bluetooth beacons or camera analysis technology to monitor the distribution and flow of people in public areas in real time;

[0087] The area division and management module is used to divide the public area into several intelligent sub-areas and update the personnel distribution and flow information of each sub-area in real time;

[0088] The dynamic volume adjustment module is used to calculate and adjust the appropriate volume level using a regression analysis algorithm based on the flow of people in each area, the area and the sound propagation characteristics;

[0089] The environmental adaptability module is used to detect the background noise level and automatically adjust the broadcast volume to adapt to the environmental noise based on the detection results;

[0090] The individual and group mode modules are used to automatically adjust the broadcast volume according to the detected visitor mode to adapt to different visitor needs;

[0091] The feedback mechanism module is used to allow the user to provide feedback on the broadcast volume through the mobile terminal and adjust the broadcast volume according to the feedback.

[0092] Through technologies such as Wi-Fi, Bluetooth beacons or cameras, the system monitors and analyzes the flow of people and the distribution of people in public areas in real time, and divides the area into multiple intelligent sub-areas. This allows the system to understand the density and distribution of people in each sub-area in detail.

[0093] Effect: The volume can be adjusted dynamically to meet the needs of different areas. Crowded areas require higher volumes to ensure that the broadcast can reach all listeners, while sparsely populated areas reduce the volume to avoid unnecessary noise.

[0094] Dynamic volume adjustment calculates the volume based on area and traffic data using a regression analysis algorithm. This model adjusts the volume level based on changes in area size and traffic.

[0095] Effect: Ensure that the broadcast volume matches the regional characteristics and improve the adaptability and effectiveness of the volume. In large areas or areas with large traffic, the system automatically increases the volume; in small areas or areas with small traffic, the system reduces the volume, thereby improving the broadcast effect and comfort.

[0096] Environmental adaptability detects the background noise level through the ambient noise sensor and automatically adjusts the broadcast volume to adapt to the ambient noise.

[0097] Effect: Increase the broadcast volume in an environment with high background noise to ensure that the broadcast content is clear and audible; reduce the volume when the background noise is low to avoid unnecessary volume interference, thereby improving the listening experience.

[0098] Individual and Group modes automatically adjust volume based on detected visitor patterns. Individual mode lowers the volume to reduce distractions to individuals, while Group mode raises the volume to ensure sound penetrates the crowd.

[0099] Effect: Improved the pertinence and effectiveness of broadcasting, adapted to the needs of different visiting modes, and ensured that broadcast information can be effectively conveyed.

[0100] The feedback mechanism allows users to provide feedback through their mobile terminals and adjust the broadcast volume based on the feedback.

[0101] Effect: Through real-time user feedback, the system can quickly adjust the volume to meet the actual needs of the audience, improving the user satisfaction and flexibility of the system.

[0102] This control method combines the above modules to ensure that the broadcasting system responds to different needs and environmental changes in public areas in real time. Through accurate personnel positioning, dynamic volume adjustment, environmental noise adaptation, visit mode adaptation and user feedback mechanism, the system achieves the following goals:

[0103] Improve broadcast coverage: Adjust the volume according to the area and personnel distribution to ensure that the broadcast covers all areas.

[0104] Optimize volume settings: Automatically adjust the volume in different environments and crowd conditions to improve the clarity and audibility of broadcasts.

[0105] Improve user experience: Through feedback mechanisms and individual / group mode adaptation, the broadcast system can be more in line with actual needs and improve user satisfaction.

[0106] Overall, this smart public broadcast control system has significant advantages in intelligence and adaptability, and can achieve the beneficial effect of adjusting the broadcast volume according to the needs and actual conditions of different regions.

[0107] Step 1 describes how to use technology to locate people in real time and divide public areas into several smart sub-areas. This enables the system to monitor the distribution and flow of people in each area in real time.

[0108] Effect: Through precise personnel positioning and area division, the system is able to understand the actual number of people in each sub-area, which is the basis for automatically adjusting the broadcast sound.

[0109] Step 2 describes how to use a regression analysis algorithm to calculate the appropriate volume level based on the flow of people in each area, the area, and the sound propagation characteristics.

[0110] Area and flow of people: By collecting the flow of people data and area of ​​each area, the system can build a volume calculation model. For example, a high volume is required in a crowded area to ensure that the broadcast can cover everyone, while a low volume is set in a sparsely populated area to avoid interference caused by excessive volume.

[0111] Regression analysis model: Use regression analysis algorithm to adjust the volume level to ensure that the broadcast volume of each area matches its actual needs and improve the effective communication of broadcast information.

[0112] Step 3: Detect the background noise level through the environmental noise sensor and automatically adjust the broadcast volume to suit the environment.

[0113] Effect: In an environment with high background noise, the broadcast volume automatically increases to ensure that the broadcast information can be heard. When the noise level is lower, the volume is appropriately reduced to avoid interference from excessive volume.

[0114] Step 4: Automatically adjust the broadcast volume according to the detected visit mode.

[0115] Individual Mode: When an individual is detected, the system lowers the volume to reduce distractions to the individual while improving the clarity of the voice.

[0116] Group Mode: When a group is detected, the system increases the volume to ensure that the sound penetrates the crowd and reaches every visitor.

[0117] Effect: By adapting to different visiting modes, the broadcast volume can be optimized according to the actual needs of the crowd, ensuring that everyone can clearly receive the broadcast information.

[0118] Step five allows the user to provide feedback on the broadcast volume through the mobile terminal and make adjustments based on the feedback.

[0119] Results: Real-time user feedback is used to further fine-tune volume settings to better match actual listener needs, ensuring that broadcast messages are effectively communicated to all listeners.

[0120] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and alterations may be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A smart public broadcasting control method, characterized in that: The control method is specifically as follows: Step 1: Personnel positioning and area division: Use Wi-Fi positioning, Bluetooth beacons or camera analysis to achieve personnel positioning, monitor the flow and distribution of people in each area in real time, divide the public area into several smart sub-areas, and update the flow information of each sub-area in real time; Step 2: Dynamic volume adjustment algorithm: Collect the traffic data, area, and sound propagation characteristics of each area, and establish a volume calculation model based on area and traffic. Use regression analysis algorithm to determine the volume level. A high volume is required in large areas or areas with a large flow of people, while a low volume is required in small areas or areas with a small flow of people. Step 3: Environmental adaptability: Equipped with an environmental noise sensor to detect the background noise level. If the background noise is high, increase the broadcast volume; if the noise level is low, reduce the broadcast volume; Step 4: Individual and group modes: When an individual visit is detected, the broadcast volume is lowered to reduce interference to visitors and increase sound clarity. When a group visit is detected, the broadcast volume is increased to ensure that the sound can penetrate the crowd and reach every visitor. Step 5: Feedback mechanism: During the broadcast process, users are allowed to provide their opinions on the broadcast volume through mobile terminals and adjustments are made based on the feedback.

2. According to claim 1, the intelligent public broadcast control system is characterized in that: The control system is composed of a personnel positioning module, an area division and management module, a dynamic volume adjustment module, an environmental adaptability module, an individual and group mode module and a feedback mechanism module, and the control system is integrated by a control method; The personnel positioning module uses Wi-Fi positioning, Bluetooth beacon or camera analysis technology to monitor the distribution and flow of personnel in public areas in real time; The area division and management module is used to divide the public area into several intelligent sub-areas and update the personnel distribution and flow information of each sub-area in real time; The dynamic volume adjustment module is used to calculate and adjust the appropriate volume level using a regression analysis algorithm according to the flow of people in each area, the area of ​​the area and the sound propagation characteristics; The environmental adaptability module is used to detect the background noise level and automatically adjust the broadcast volume to adapt to the environmental noise according to the detection result; The individual and group mode modules are used to automatically adjust the broadcast volume according to the detected visit mode to adapt to different visit needs; The feedback mechanism module is used to allow the user to provide feedback on the broadcast volume through the mobile terminal, and adjust the broadcast volume according to the feedback.

3. The intelligent public broadcast control system according to claim 2 is characterized in that: The personnel positioning module expression is: Using t different technologies to locate people, where each technology i includes Wi-Fi, Bluetooth beacons, and cameras, the detection results are: P i,t ={(x j,i,t ,y j,i,t )|j∈detected person index} in: (x j,i,t ,y j,i,t ) are the coordinates of the jth individual at technology i and time t.

4. The intelligent public broadcast control system according to claim 3 is characterized in that: The personnel distribution expression in the personnel positioning module is: The public area is divided into k sub-areas, and the area of ​​each sub-area k is A k , the number of people N in the kth sub-area at time t k,t It is expressed as: in: represents the sum of all technologies i; A k is the range of the kth sub-region.

5. The intelligent public broadcast control system according to claim 4 is characterized in that: The expression of the flow of people in the personnel positioning module is: in: Δt is the time interval.

6. The intelligent public broadcast control system according to claim 2 is characterized in that: The regional division expression in the regional division and management module is: A={A k ∣k=1,2,…,K}。 7. The intelligent public broadcast control system according to claim 2 is characterized in that: The dynamic volume adjustment module expression is: Regression Analysis: f(x)=β0+β1x1+β2x2+β3x3 in: f(x) is the volume level; β1, β2, and β3 are coefficients; x2 is the area of ​​the region; Volume adjustment: in: V is the volume after dynamic adjustment; V practical This is the maximum value of the volume range in actual use.

8. The intelligent public broadcast control system according to claim 2 is characterized in that: The environmental adaptability module expression is: Background noise detection, the background noise level is N bg :N bg = detected background noise level; Volume adjustment: The broadcast volume V is adjusted based on the background noise level and the preset target volume. Set the target volume V targe t and noise adjustment factor α: V=V target +α(N bg -N ref ) in: V is the adjusted broadcast volume; α is the noise adjustment coefficient, which reflects the impact of background noise on the broadcast volume.

9. The intelligent public broadcast control system according to claim 2, characterized in that: The individual and group model module expressions are: Visit mode detection: Volume adjustment: V=V base +α M (NN ref ) where α M The calculation method is: in: V is the adjusted broadcast volume; α M is the mode coefficient, which depends on the visit mode M; N ref It refers to the background noise level or the flow of people.

10. The intelligent public broadcast control system according to claim 2, characterized in that: The feedback mechanism module expression is: Volume adjustment formula, the adjusted broadcast volume V is based on the user's feedback F and a feedback adjustment coefficient β, setting the baseline volume V base , the adjusted broadcast volume is expressed by the following formula: V=V base +β(F-F ref ) in: V is the adjusted broadcast volume; β is the feedback adjustment coefficient, which reflects the influence of user feedback on the volume; F ref The reference feedback amount is the target feedback amount or neutral feedback amount of the system.

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