A method and system for optimizing infrared transmission hazards of wireless audio of a conference system

Abstract

This invention relates to the field of infrared audio transmission and discloses a method and system for optimizing infrared transmission risks in wireless audio of a conference system. The method includes the following steps: calculating the time spectrum of the acquired wireless audio from the conference system, and performing signal conversion on the wireless audio based on the time spectrum to obtain a wireless infrared optical audio signal; transmitting and filtering / demodulating the wireless infrared optical audio signal, and calculating the signal state of the wireless infrared optical audio signal; and optimizing the infrared transmission risks of the wireless infrared optical audio signal based on the signal state and the characteristics of the audio signal transmission environment. This invention can analyze the infrared transmission of wireless audio in a conference system, identify potential risks affecting infrared transmission in specific environments, and propose solutions, thereby achieving stable and reliable audio transmission services and ensuring the smooth running of meetings and a good experience for participants.

Description

Technical Field

[0001] This invention relates to the field of audio infrared transmission, and in particular to a method and system for optimizing the infrared transmission risks of wireless audio in a conference system. Background Technology

[0002] Wireless audio in a conference system is a type of wireless audio transmission. The audio spoken by the speaker during a meeting is the wireless audio from the conference system. This spoken audio needs to be transmitted to devices such as sound players and speakers for amplification. Among various transmission methods, infrared transmission is suitable for use within a conference room because the space is relatively small, light transmission speed is fast, and it is unaffected by electromagnetic interference and has low susceptibility to ambient temperature. Therefore, infrared transmission is chosen for wireless audio transmission in conference systems. The principle involves converting the acquired wireless audio into a digital signal, then converting the digital signal into an infrared light signal for transmission. The receiving device then receives the infrared light signal and finally converts it back into an audio signal, thus achieving audio transmission. Wireless audio systems eliminate the constraints of cables, allowing speakers to move freely within the conference area, improving the flexibility and interactivity of the meeting. However, there may be potential risks associated with infrared transmission, such as obstructions from walls or glass affecting transmission quality, or the influence of light intensity. Therefore, it is necessary to optimize the infrared transmission of the conference system to achieve stable and reliable audio transmission services, ensuring the smooth running of the meeting and a good experience for all participants. Summary of the Invention

[0003] This invention overcomes the shortcomings of the prior art and provides a method and system for optimizing the infrared transmission of wireless audio in a conference system.

[0004] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0005] The first aspect of this invention provides a method for optimizing the infrared transmission vulnerability of wireless audio in a conference system, comprising the following steps:

[0006] S102: Perform time-spectrum calculation on the wireless audio of the conference system, and convert the wireless audio signal based on the time-spectrum to obtain the wireless infrared light audio signal;

[0007] S104: Controls the infrared light receiving device to receive and process wireless infrared light audio signals in real time, obtains wireless filtered and demodulated audio signals, and analyzes the wireless filtered and demodulated audio signals to realize the signal status evaluation and classification of wireless infrared light audio signals.

[0008] S106: Combine and analyze the unqualified wireless infrared light and audio signals obtained from the classification of audio signal transmission environment characteristics and signal status, and optimize the infrared transmission hidden dangers based on the combined analysis results.

[0009] Furthermore, in a preferred embodiment of the present invention, S102 specifically includes:

[0010] The wireless audio signal of the conference system is acquired in real time by an audio acquisition device, and the wireless audio signal of the conference system is preprocessed to obtain the preprocessed wireless audio signal of the conference system.

[0011] The pre-processed wireless audio signal of the conference system that needs to be transmitted in infrared is identified as the target wireless audio signal;

[0012] The current audio signal format of the target wireless audio signal is converted into a time series format to obtain a time series target wireless audio signal. A short-time Fourier transform algorithm is then introduced to divide the time series target wireless audio signal into time windows to obtain a time series target wireless audio signal for a single time window.

[0013] Apply Discrete Fourier Transform to the time-series target wireless audio signals of all individual time windows to obtain the frequency of the time-series target wireless audio signals of each individual time window. Combine and arrange the frequencies of the time-series target wireless audio signals of all individual time windows to obtain the time spectrum of the time-series target wireless audio signals, which is then labeled as the target time spectrum.

[0014] An analog-to-digital converter is obtained, a target time spectrum is applied within the analog-to-digital converter, and the time-series target wireless audio signal is converted into a digital signal through the analog-to-digital converter with the target time spectrum applied. At the same time, an encoder is introduced to perform audio encoding processing on the time-series target wireless audio signal after digital signal conversion, so as to obtain a wireless audio encoded digital signal.

[0015] The transmission environment characteristics of the wireless audio signal of the conference system are obtained and calibrated as audio signal transmission environment characteristics. A big data network is introduced, and an infrared light carrier frequency suitable for application within the audio signal transmission environment characteristics is retrieved based on the big data network and calibrated as the target infrared light carrier frequency.

[0016] The audio signal transmission environment characteristics include the ambient light intensity, obstacle location, and obstacle type when the wireless audio signal of the conference system is transmitted.

[0017] An infrared modulator is obtained, and an infrared light carrier is generated on the infrared modulator based on the target infrared light carrier frequency. This is calibrated as the target infrared light carrier. The wireless audio coded digital signal is modulated onto the target infrared light carrier through the infrared modulator to obtain the infrared light signal of the wireless audio coded digital signal, which is calibrated as the wireless infrared light audio signal.

[0018] Furthermore, in a preferred embodiment of the present invention, S104 specifically includes:

[0019] Acquire an infrared light receiving device that performs wireless infrared light audio signal reception, and designate it as the target infrared light receiving device;

[0020] The infrared transmitter and the wireless audio signal transmission environment of the conference system are obtained. Based on the infrared transmitter, a wireless infrared light audio signal is transmitted within the wireless audio signal transmission environment of the conference system, and the wireless infrared light audio signal is received in real time based on the infrared light receiving device.

[0021] An infrared demodulator and a Mel filter are installed in the infrared light receiving device. Based on the infrared demodulator, the wireless infrared light audio signal is demodulated to obtain a wireless demodulated audio signal.

[0022] The wireless demodulated audio signal is fed into a Mel filter, which performs audio framing processing on the wireless demodulated audio signal. A Hamming window function is then applied to the wireless demodulated audio signals of different frames for windowing processing. Meanwhile, the windowed wireless demodulated audio signals of different frames are subjected to discrete cosine transform and frame combining processing to obtain the filtered wireless demodulated audio signal, which is then calibrated as the wireless filtered demodulated audio signal.

[0023] The wirelessly filtered and demodulated audio signal is converted into a signal diagram and calibrated as a wirelessly filtered and demodulated audio signal diagram. Based on the wirelessly filtered and demodulated audio signal diagram, the signal strength and time delay of the wirelessly filtered and demodulated audio signal are calculated.

[0024] Based on the signal strength and time delay of wireless filtered and demodulated audio signals, the signal state of wireless infrared audio signals is evaluated and classified.

[0025] Furthermore, in a preferred embodiment of the present invention, the signal state assessment and classification of the wireless infrared audio signal based on the signal strength and time delay of the wireless filtered and demodulated audio signal specifically includes:

[0026] The SVM algorithm is introduced, and an initial SVM model is constructed based on the SVM algorithm.

[0027] A preset standard threshold for signal strength and a standard threshold for latency are established. The standard thresholds for signal strength and latency are converted into feature data and imported into the initial SVM model for model training to obtain an SVM training model. The SVM training model is capable of evaluating and classifying the signal strength and latency of wirelessly filtered and demodulated audio signals.

[0028] The signal strength and time delay of the wirelessly filtered and demodulated audio signal are imported into the SVM training model, and the wirelessly filtered and demodulated audio signal is analyzed within the SVM training model.

[0029] If the signal strength and time delay of the wireless filtered and demodulated audio signal are maintained within the standard thresholds for signal strength and time delay, then the wireless infrared audio signal is calibrated as a qualified wireless infrared audio signal.

[0030] If the signal strength and time delay rate of the wireless filtered and demodulated audio signal do not remain within the standard threshold for signal strength and time delay rate, then it will be labeled as an unqualified wireless infrared audio signal.

[0031] Furthermore, in a preferred embodiment of the present invention, S106 specifically includes:

[0032] When the wireless infrared light audio signal is a substandard wireless infrared light audio signal, a simulation model of the wireless infrared light audio signal transmission environment is constructed based on the characteristics of the audio signal transmission environment and calibrated as an environmental characteristic simulation model.

[0033] Among them, the environmental feature simulation model can simulate and adjust the ambient light intensity;

[0034] Within the environmental feature simulation model, an analog signal of the wireless infrared light and audio signal is established based on the wireless infrared light and audio signal and calibrated as the wireless infrared light and audio analog signal.

[0035] The ambient light intensity threshold that enables wireless infrared audio signals to maintain a qualified signal state during transmission is retrieved from the big data network and calibrated as the ambient light intensity standard threshold.

[0036] Within the environmental feature simulation model, the wireless infrared light and audio analog signal is controlled to perform simulated infrared transmission. During the simulated infrared transmission, the ambient light intensity is simulated and adjusted within the environmental feature simulation model so that the ambient light intensity within the environmental feature simulation model is maintained within the standard threshold of ambient light intensity.

[0037] If the wireless infrared audio simulation signal is qualified after the ambient light intensity is adjusted, that is, the signal strength and latency are maintained within the standard threshold of signal strength and latency, then all lighting devices in the wireless audio signal transmission environment of the conference system are acquired, calibrated as ambient lighting devices, and all ambient lighting devices are uniformly controlled to maintain the ambient light intensity in the wireless audio signal transmission environment within the standard threshold of ambient light intensity.

[0038] If the simulated wireless infrared audio signal is unqualified after the ambient light intensity is adjusted, then the location and type of obstacles are analyzed in the environmental feature simulation model. Based on the analysis results, a qualified simulated transmission route is generated, and the infrared transmission of the wireless infrared audio signal is optimized based on the qualified simulated transmission route.

[0039] Furthermore, in a preferred embodiment of the present invention, the step of analyzing the location and type of obstacles within the environmental feature simulation model, generating a simulated transmission route that meets the requirements based on the analysis results, and optimizing the infrared transmission of the wireless infrared optical-audio signal based on the simulated transmission route that meets the requirements, specifically involves:

[0040] Simulated obstacles are obtained within the environmental feature simulation model, where the location and type of the simulated obstacles are equal to the location and type of obstacles in the wireless audio signal transmission environment;

[0041] Retrieve the attenuation of wireless infrared optical and audio signals when passing through different types of obstacles in a big data network;

[0042] Based on the standard threshold of signal strength and the standard threshold of latency, a dangerous attenuation threshold is preset. If there are obstacles in the wireless audio signal transmission environment that cause the attenuation of the wireless infrared audio signal to be greater than the dangerous attenuation threshold, then the corresponding obstacle is marked as a Class I obstacle, and other obstacles in the wireless audio signal transmission environment are marked as Class II obstacles.

[0043] Based on Class I and Class II obstacles, we obtain Class I simulated obstacles and Class II simulated obstacles. Based on the obstacle locations within the wireless audio signal transmission environment, we obtain the locations of Class I simulated obstacles and Class II simulated obstacles.

[0044] The RRT algorithm is introduced to determine the simulated transmission start point and simulated transmission end point within the environmental feature simulation model. Based on the RRT algorithm, simulated transmission routes of all wireless infrared light and audio simulated signals from the simulated transmission start point to the simulated transmission end point are generated and marked as simulated transmission routes to be selected.

[0045] Route analysis is performed on all candidate analog transmission routes, and infrared transmission of wireless infrared optical audio signals is optimized based on the analysis results.

[0046] Furthermore, in a preferred embodiment of the present invention, the step of performing route analysis on all candidate analog transmission routes and optimizing the infrared transmission of the wireless infrared optical audio signal based on the analysis results specifically includes:

[0047] By combining the locations of Type I and Type II simulated obstacles, all candidate simulated transmission routes that do not pass through the locations of Type I simulated obstacles are marked as qualified simulated transmission routes.

[0048] If a qualified simulated transmission route exists, calculate the route length of all qualified simulated transmission routes, and select the qualified simulated transmission route with the shortest route length as the target simulated transmission route.

[0049] Based on the target simulated transmission route, a type of target transmission route is generated in the wireless audio signal transmission environment, and the transmission space angle of the infrared transmitter and the reception space angle of the target infrared light receiving device are calculated when the wireless infrared light audio signal is transmitted along the type of target transmission route, and calibrated as the type of target transmission space angle and the type of target reception space angle.

[0050] Control the infrared transmitter to transmit wireless infrared light and audio signals at a target transmission angle, and control the target infrared light receiving device to receive the wireless infrared light and audio signals at a target reception angle, so that the wireless infrared light and audio signals are qualified wireless infrared light and audio signals.

[0051] If no qualified analog transmission route exists, the shortest analog transmission route among all candidate routes is selected, and a transmission route corresponding to the shortest analog transmission route is generated within the wireless audio signal transmission environment and designated as a Class II target transmission route.

[0052] Based on the transmission route of type II targets, the transmission space angle of the infrared transmitter and the reception space angle of the infrared light receiving device of the target are calculated when the wireless infrared light audio signal is transmitted along the transmission route of type II targets, and are calibrated as the transmission space angle and reception space angle of type II targets.

[0053] The infrared transmitter is controlled to transmit wireless infrared light and audio signals at a spatial angle corresponding to a type II target, and the infrared light receiving device at the target is controlled to receive the wireless infrared light and audio signals at a spatial angle corresponding to a type II target. At the same time, the signal strength of the wireless infrared light and audio signals is adjusted in the infrared transmitter to ensure that the wireless infrared light and audio signals are qualified wireless infrared light and audio signals.

[0054] A second aspect of the present invention also provides an infrared transmission vulnerability optimization system for wireless audio in a conference system. The infrared transmission vulnerability optimization system includes a memory and a processor. The memory stores an infrared transmission vulnerability optimization method. When the processor executes the infrared transmission vulnerability optimization method, it performs the following steps:

[0055] The time-spectrum of the wireless audio signal of the conference system is calculated, and the signal is converted based on the time-spectrum to obtain the wireless infrared light audio signal.

[0056] The system controls the infrared light receiving device to receive and process wireless infrared light audio signals in real time, obtains wireless filtered and demodulated audio signals, and analyzes the wireless filtered and demodulated audio signals to achieve signal status evaluation and classification of wireless infrared light audio signals.

[0057] The non-compliant wireless infrared audio signals obtained by classifying the characteristics of the audio signal transmission environment and the signal status are combined and analyzed, and the infrared transmission risks are optimized based on the combined analysis results.

[0058] This invention addresses the technical deficiencies in the background technology and offers the following beneficial effects: It calculates the time-spectrum of the acquired wireless audio from the conference system, performs signal conversion based on the time-spectrum to obtain a wireless infrared optical audio signal; it transmits and filters / demodulates the wireless infrared optical audio signal, calculates the signal state of the wireless infrared optical audio signal, and, based on the signal state of the wireless infrared optical audio signal and the characteristics of the audio signal transmission environment, optimizes the infrared transmission of the wireless infrared optical audio signal to address potential problems. This invention can perform infrared transmission analysis on the wireless audio of the conference system, identify potential problems affecting infrared transmission in specific environments, and propose solutions, achieving stable and reliable audio transmission services, ensuring the smooth running of meetings and a good experience for participants. Attached Figure Description

[0059] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other embodiments can be obtained from these drawings without creative effort.

[0060] Figure 1 A flowchart is shown for a method to optimize the infrared transmission vulnerability of wireless audio in a conference system;

[0061] Figure 2 A flowchart is shown to illustrate a method for optimizing the infrared transmission of substandard wireless infrared optical and audio signals.

[0062] Figure 3 A program view of a system for optimizing the infrared transmission vulnerability of wireless audio in a conference system is shown. Detailed Implementation

[0063] To better understand the above-mentioned objectives, features, and advantages of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in these embodiments can be combined with each other.

[0064] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and therefore the scope of protection of the invention is not limited to the specific embodiments disclosed below.

[0065] Figure 1 A flowchart illustrating a method for optimizing infrared transmission risks in wireless audio of a conference system is shown, including the following steps:

[0066] S102: Perform time-spectrum calculation on the wireless audio of the conference system, and convert the wireless audio signal based on the time-spectrum to obtain the wireless infrared light audio signal;

[0067] S104: Controls the infrared light receiving device to receive and process wireless infrared light audio signals in real time, obtains wireless filtered and demodulated audio signals, and analyzes the wireless filtered and demodulated audio signals to realize the signal status evaluation and classification of wireless infrared light audio signals.

[0068] S106: Combine and analyze the unqualified wireless infrared light and audio signals obtained from the classification of audio signal transmission environment characteristics and signal status, and optimize the infrared transmission hidden dangers based on the combined analysis results.

[0069] Furthermore, in a preferred embodiment of the present invention, S102 specifically includes:

[0070] The wireless audio signal of the conference system is acquired in real time by an audio acquisition device, and the wireless audio signal of the conference system is preprocessed to obtain the preprocessed wireless audio signal of the conference system.

[0071] The pre-processed wireless audio signal of the conference system that needs to be transmitted in infrared is identified as the target wireless audio signal;

[0072] The current audio signal format of the target wireless audio signal is converted into a time series format to obtain a time series target wireless audio signal. A short-time Fourier transform algorithm is then introduced to divide the time series target wireless audio signal into time windows to obtain a time series target wireless audio signal for a single time window.

[0073] Apply Discrete Fourier Transform to the time-series target wireless audio signals of all individual time windows to obtain the frequency of the time-series target wireless audio signals of each individual time window. Combine and arrange the frequencies of the time-series target wireless audio signals of all individual time windows to obtain the time spectrum of the time-series target wireless audio signals, which is then labeled as the target time spectrum.

[0074] An analog-to-digital converter is obtained, a target time spectrum is applied within the analog-to-digital converter, and the time-series target wireless audio signal is converted into a digital signal through the analog-to-digital converter with the target time spectrum applied. At the same time, an encoder is introduced to perform audio encoding processing on the time-series target wireless audio signal after digital signal conversion, so as to obtain a wireless audio encoded digital signal.

[0075] The transmission environment characteristics of the wireless audio signal of the conference system are obtained and calibrated as audio signal transmission environment characteristics. A big data network is introduced, and an infrared light carrier frequency suitable for application within the audio signal transmission environment characteristics is retrieved based on the big data network and calibrated as the target infrared light carrier frequency.

[0076] The audio signal transmission environment characteristics include the ambient light intensity, obstacle location, and obstacle type when the wireless audio signal of the conference system is transmitted.

[0077] An infrared modulator is obtained, and an infrared light carrier is generated on the infrared modulator based on the target infrared light carrier frequency. This is calibrated as the target infrared light carrier. The wireless audio coded digital signal is modulated onto the target infrared light carrier through the infrared modulator to obtain the infrared light signal of the wireless audio coded digital signal, which is calibrated as the wireless infrared light audio signal.

[0078] It's important to note that after acquiring the required wireless audio signal, i.e., the target wireless audio signal, it needs to be converted into an infrared light audio signal for infrared transmission. Before conversion, it must first be converted into a digital signal. Converting to a digital signal requires preprocessing the target wireless audio signal. First, the frequency of the wireless audio needs to be obtained. Since the frequency of the audio varies at different times, the audio signal format needs to be converted to a time-series format. The Short Time Fourier Transform (SFT) algorithm can divide the time-series audio signal into time windows, with each time window representing a small segment of time. Performing Discrete Fourier Transform on the audio signal divided into individual time windows results in a better Fourier transform effect and more accurate frequency identification. An analog-to-digital converter (ADC) is a device that converts the time-series target wireless audio signal into a digital signal. Applying the target time-spectrum, i.e., the frequency of the audio signal, within the ADC achieves digital signal conversion. An encoder is a device that converts the audio signal into a digital format and compresses it, eliminating redundant information and unnecessary audio signals while maintaining audio quality. After obtaining the encoded digital signal of the wireless audio through the encoder, the digital signal needs to be converted into an infrared light signal. Different environmental characteristics require different infrared carrier frequencies. Considering the environmental characteristics of the meeting location, after determining the target infrared carrier frequency, the target infrared carrier is generated. Digital signals are then modulated onto the target infrared carrier to generate wireless infrared audio signals, achieving real-time audio transmission. In this context, the big data network acts as a database, storing various solutions.

[0079] Furthermore, in a preferred embodiment of the present invention, S104 specifically includes:

[0080] Acquire an infrared light receiving device that performs wireless infrared light audio signal reception, and designate it as the target infrared light receiving device;

[0081] The infrared transmitter and the wireless audio signal transmission environment of the conference system are obtained. Based on the infrared transmitter, a wireless infrared light audio signal is transmitted within the wireless audio signal transmission environment of the conference system, and the wireless infrared light audio signal is received in real time based on the infrared light receiving device.

[0082] An infrared demodulator and a Mel filter are installed in the infrared light receiving device. Based on the infrared demodulator, the wireless infrared light audio signal is demodulated to obtain a wireless demodulated audio signal.

[0083] The wireless demodulated audio signal is fed into a Mel filter, which performs audio framing processing on the wireless demodulated audio signal. A Hamming window function is then applied to the wireless demodulated audio signals of different frames for windowing processing. Meanwhile, the windowed wireless demodulated audio signals of different frames are subjected to discrete cosine transform and frame combining processing to obtain the filtered wireless demodulated audio signal, which is then calibrated as the wireless filtered demodulated audio signal.

[0084] The wirelessly filtered and demodulated audio signal is converted into a signal diagram and calibrated as a wirelessly filtered and demodulated audio signal diagram. Based on the wirelessly filtered and demodulated audio signal diagram, the signal strength and time delay of the wirelessly filtered and demodulated audio signal are calculated.

[0085] Based on the signal strength and time delay of wireless filtered and demodulated audio signals, the signal state of wireless infrared audio signals is evaluated and classified.

[0086] It should be noted that the target infrared light receiving device is the device that receives wireless infrared light audio signals, while the infrared transmitter is the device that transmits wireless infrared light audio signals. After the target infrared light receiving device receives the wireless infrared light audio signal, it needs to be converted back into an audio signal for playback. The target infrared light receiving device includes, but is not limited to, speakers, loudspeakers, etc. During the transmission of the wireless infrared light audio signal, it may be affected by ambient light, obstacles, etc., resulting in significant frequency fluctuations in the demodulated audio signal. Therefore, filtering is required. A Mel filter is used for filtering. The principle of the Mel filter is mainly based on the frequency response characteristics of the human auditory system to sound, especially in simulating the nonlinear perception of frequency by the human ear. Therefore, a Mel filter is used for filtering. Before filtering, audio framing is required to improve the filtering effect and efficiency. Windowing the audio signal of different frames aims to enhance the high-frequency components, flatten the signal spectrum, facilitate subsequent filtering, and reduce audio loss. Performing discrete cosine transform and frame merging on the framed and windowed audio signal can achieve the goals of filtering and merging audio signals, resulting in a complete filtered audio signal, i.e., the wirelessly filtered and demodulated audio signal. Converting the wirelessly filtered and demodulated audio signal into a signal graph format provides a clearer picture of its signal strength and time delay.

[0087] Furthermore, in a preferred embodiment of the present invention, the signal state assessment and classification of the wireless infrared audio signal based on the signal strength and time delay of the wireless filtered and demodulated audio signal specifically includes:

[0088] The SVM algorithm is introduced, and an initial SVM model is constructed based on the SVM algorithm.

[0089] A preset standard threshold for signal strength and a standard threshold for latency are established. The standard thresholds for signal strength and latency are converted into feature data and imported into the initial SVM model for model training to obtain an SVM training model. The SVM training model is capable of evaluating and classifying the signal strength and latency of wirelessly filtered and demodulated audio signals.

[0090] The signal strength and time delay of the wirelessly filtered and demodulated audio signal are imported into the SVM training model, and the wirelessly filtered and demodulated audio signal is analyzed within the SVM training model.

[0091] If the signal strength and time delay of the wireless filtered and demodulated audio signal are maintained within the standard thresholds for signal strength and time delay, then the wireless infrared audio signal is calibrated as a qualified wireless infrared audio signal.

[0092] If the signal strength and time delay rate of the wireless filtered and demodulated audio signal do not remain within the standard threshold for signal strength and time delay rate, then it will be labeled as an unqualified wireless infrared audio signal.

[0093] It should be noted that during the transmission of wireless infrared audio signals, ambient light and other factors can affect the signal strength and latency. Low signal strength can result in low or incomplete sound. Low latency can lead to delayed audio playback and audio-visual desynchronization. Therefore, it is necessary to analyze the signal strength and latency of the demodulated and filtered wireless audio signal to determine its quality. The SVM algorithm, a support vector machine algorithm, can classify data. Preset thresholds for signal strength and latency are used. If the signal strength and latency of an audio signal are outside these thresholds, it is considered an abnormal audio signal, i.e., a substandard wireless infrared audio signal. After importing the standard thresholds into the initial SVM model, the signal strength and latency of the wireless filtered and demodulated audio signal can be analyzed and classified. The causes of substandard wireless infrared audio signals need to be analyzed, identifying potential problems in the transmission process, and appropriate solutions implemented.

[0094] Figure 2 The flowchart illustrates a method for optimizing infrared transmission of substandard wireless infrared optical and audio signals, including the following steps:

[0095] S202: Simulate and adjust ambient light intensity within an environmental feature simulation model, and adjust ambient light intensity within a wireless audio signal transmission environment based on the simulation results.

[0096] S204: Analyze the location and type of obstacles within the environmental feature simulation model, and generate suitable simulated transmission routes based on the analysis results;

[0097] S206: Perform route analysis on all candidate analog transmission routes and optimize the infrared transmission of wireless infrared optical audio signals based on the analysis results.

[0098] Furthermore, in a preferred embodiment of the present invention, S202 specifically includes:

[0099] When the wireless infrared light audio signal is a substandard wireless infrared light audio signal, a simulation model of the wireless infrared light audio signal transmission environment is constructed based on the characteristics of the audio signal transmission environment and calibrated as an environmental characteristic simulation model.

[0100] Among them, the environmental feature simulation model can simulate and adjust the ambient light intensity;

[0101] Within the environmental feature simulation model, an analog signal of the wireless infrared light and audio signal is established based on the wireless infrared light and audio signal and calibrated as the wireless infrared light and audio analog signal.

[0102] The ambient light intensity threshold that enables wireless infrared audio signals to maintain a qualified signal state during transmission is retrieved from the big data network and calibrated as the ambient light intensity standard threshold.

[0103] Within the environmental feature simulation model, the wireless infrared light and audio analog signal is controlled to perform simulated infrared transmission. During the simulated infrared transmission, the ambient light intensity is simulated and adjusted within the environmental feature simulation model so that the ambient light intensity within the environmental feature simulation model is maintained within the standard threshold of ambient light intensity.

[0104] If the simulated ambient light intensity is adjusted and the simulated wireless infrared audio signal is qualified (i.e., the signal strength and latency are maintained within the standard thresholds for signal strength and latency), then all lighting devices in the wireless audio signal transmission environment of the conference system are acquired, calibrated as ambient lighting devices, and all ambient lighting devices are uniformly controlled to maintain the ambient light intensity within the standard threshold for ambient light intensity in the wireless audio signal transmission environment.

[0105] It should be noted that the purpose of constructing the environmental feature simulation model is to simulate audio signal transmission. This simulation allows for the initial simulation of the transmission process, identification of existing problems, and subsequent optimization to address potential issues in real-world scenarios, thus improving optimization efficiency and effectiveness. The environmental feature simulation model can simulate and adjust ambient light intensity. High ambient light intensity can affect infrared transmission, such as reducing signal strength. Therefore, by simulating and adjusting ambient light intensity through the environmental feature simulation model, it is possible to determine whether ambient light intensity is causing the wireless infrared audio signal transmission to fail. Simulating transmission in the environmental feature simulation model requires constructing a simulated signal with the same frequency and infrared carrier as the wireless infrared audio signal. This simulated signal is then transmitted in the environmental feature simulation model, and the ambient light intensity is simulated and adjusted to a standard threshold. The model then determines whether the signal strength and latency after demodulation remain within the standard threshold. If the ambient light intensity affects the transmission of wireless infrared audio signals, causing their signal strength and latency to deviate from the standard thresholds, then light control is required for the audio signal transmission environment, i.e., the wireless audio signal transmission environment. Light control can be achieved by adjusting the brightness of ambient lighting equipment such as lamps.

[0106] Furthermore, in a preferred embodiment of the present invention, S204 specifically includes:

[0107] Simulated obstacles are obtained within the environmental feature simulation model, where the location and type of the simulated obstacles are equal to the location and type of obstacles in the wireless audio signal transmission environment;

[0108] Retrieve the attenuation of wireless infrared optical and audio signals when passing through different types of obstacles in a big data network;

[0109] Based on the standard threshold of signal strength and the standard threshold of latency, a dangerous attenuation threshold is preset. If there are obstacles in the wireless audio signal transmission environment that cause the attenuation of the wireless infrared audio signal to be greater than the dangerous attenuation threshold, then the corresponding obstacle is marked as a Class I obstacle, and other obstacles in the wireless audio signal transmission environment are marked as Class II obstacles.

[0110] Based on Class I and Class II obstacles, we obtain Class I simulated obstacles and Class II simulated obstacles. Based on the obstacle locations within the wireless audio signal transmission environment, we obtain the locations of Class I simulated obstacles and Class II simulated obstacles.

[0111] The RRT algorithm is introduced to determine the simulated transmission start point and simulated transmission end point within the environmental feature simulation model. Based on the RRT algorithm, simulated transmission routes for all wireless infrared light and audio simulated signals from the simulated transmission start point to the simulated transmission end point are generated and marked as simulated transmission routes to be selected.

[0112] It should be noted that if the simulated wireless infrared audio signal remains unqualified after adjusting the ambient light intensity, it indicates that the wireless infrared audio signal is less affected by ambient light intensity and may be affected by obstacles. Different types and locations of obstacles can affect signal transmission. For example, if the audio signal transmission environment contains energy-absorbing or poorly reflective materials, the audio signal will be absorbed and unable to be reflected when passing through these obstacles, resulting in reduced signal strength or increased latency. The attenuation of the wireless infrared audio signal varies depending on the type of obstacle. Based on the attenuation, obstacles are classified into two categories: one category causing significant attenuation, and another category causing less attenuation. Different obstacles are located in different positions. By obtaining the simulated locations of these two categories of obstacles, various transmission paths for wireless infrared audio signals can be generated. In a wireless audio signal transmission environment, there are multiple transmission routes. These routes may traverse different obstacles; some routes pass through no obstacles, some pass through one type of obstacle, and some pass through multiple types of obstacles simultaneously. Therefore, the RRT algorithm can be used to obtain all transmission routes, and each route must run from the start point to the end point. Determining the transmission route requires simulating transmission within an environmental feature simulation model based on the locations of both type I and type II simulated obstacles.

[0113] Furthermore, in a preferred embodiment of the present invention, S206 specifically includes:

[0114] By combining the locations of Type I and Type II simulated obstacles, all candidate simulated transmission routes that do not pass through the locations of Type I simulated obstacles are marked as qualified simulated transmission routes.

[0115] If a qualified simulated transmission route exists, calculate the route length of all qualified simulated transmission routes, and select the qualified simulated transmission route with the shortest route length as the target simulated transmission route.

[0116] Based on the target simulated transmission route, a type of target transmission route is generated in the wireless audio signal transmission environment, and the transmission space angle of the infrared transmitter and the reception space angle of the target infrared light receiving device are calculated when the wireless infrared light audio signal is transmitted along the type of target transmission route, and calibrated as the type of target transmission space angle and the type of target reception space angle.

[0117] Control the infrared transmitter to transmit wireless infrared light and audio signals at a target transmission angle, and control the target infrared light receiving device to receive the wireless infrared light and audio signals at a target reception angle, so that the wireless infrared light and audio signals are qualified wireless infrared light and audio signals.

[0118] If no qualified analog transmission route exists, the shortest analog transmission route among all candidate routes is selected, and a transmission route corresponding to the shortest analog transmission route is generated within the wireless audio signal transmission environment and designated as a Class II target transmission route.

[0119] Based on the transmission route of type II targets, the transmission space angle of the infrared transmitter and the reception space angle of the infrared light receiving device of the target are calculated when the wireless infrared light audio signal is transmitted along the transmission route of type II targets, and are calibrated as the transmission space angle and reception space angle of type II targets.

[0120] The infrared transmitter is controlled to transmit wireless infrared light and audio signals at a spatial angle corresponding to a type II target, and the infrared light receiving device at the target is controlled to receive the wireless infrared light and audio signals at a spatial angle corresponding to a type II target. At the same time, the signal strength of the wireless infrared light and audio signals is adjusted in the infrared transmitter to ensure that the wireless infrared light and audio signals are qualified wireless infrared light and audio signals.

[0121] It should be noted that if, during simulated transmission, there exists a transmission route that does not pass through a type I simulated obstacle (i.e., a qualified simulated transmission route), then the output with the shortest route length should be selected. The purpose is to accelerate the transmission rate and ensure that the signal strength and latency of the demodulated audio signal remain within preset thresholds. After obtaining a type I target transmission route, it is necessary to control the target infrared audio to be transmitted along this route. This requires adjusting the transmission angle of the infrared transmitter and the reception angle of the target infrared receiver to ensure that the target infrared audio is transmitted along the type I target transmission route. Different transmission and reception angles will cause changes in the transmission route. If no qualified simulated transmission route exists, regardless of the adjustment of the transmission and reception angles, the target infrared audio will pass through a type I obstacle. In this case, the shortest candidate simulated transmission route is directly selected, and a type II target transmission route is generated. Similarly, by adjusting the emission angle of the infrared transmitter and the receiving angle of the target infrared light receiving device, and by enhancing the signal strength when the target infrared light and audio are emitted, the target infrared light and audio will attenuate after passing through a certain type of obstacle, but the signal strength will still be qualified when transmitted to the receiving device, thus achieving the optimization of infrared transmission risks.

[0122] Furthermore, the method for optimizing the infrared transmission vulnerability of wireless audio in a conference system also includes the following steps:

[0123] The wireless filtered and demodulated audio signal obtained by demodulating and filtering the qualified wireless infrared light audio signal is calibrated as the wireless filtered and demodulated audio signal to be analyzed.

[0124] Acquire the voiceprint feature information of the target wireless audio signal and the voiceprint feature information of the wireless filtered and demodulated audio signal to be analyzed;

[0125] The similarity between the voiceprint feature information of the target wireless audio signal and the voiceprint feature information of the wireless filtered and demodulated audio signal to be analyzed is calculated and calibrated as audio voiceprint similarity, and an audio voiceprint similarity threshold is preset.

[0126] If the audio voiceprint similarity is less than the audio voiceprint similarity threshold, then the receiving frequency when the infrared light receiving device receives a qualified wireless infrared light audio signal is obtained and calibrated as the receiving frequency to be analyzed. At the same time, the transmission frequency when the infrared transmitter transmits a qualified wireless infrared light audio signal is obtained and calibrated as the transmission frequency to be analyzed.

[0127] Calculate the Euclidean distance between the receiving frequency and the transmitting frequency to be analyzed, and preset the Euclidean distance range. If the Euclidean distance between the receiving frequency and the transmitting frequency to be analyzed is not maintained within the Euclidean distance range, then the receiving frequency to be analyzed is adjusted in real time to keep the Euclidean distance between the receiving frequency and the transmitting frequency to be analyzed within the Euclidean distance range.

[0128] If the Euclidean distance between the receiving frequency and the transmitting frequency to be analyzed remains within the Euclidean distance range, but the audio voiceprint similarity is still less than the audio voiceprint similarity threshold, then the infrared light receiving device should be replaced.

[0129] It should be noted that the timbre of the audio before and after transmission should remain the same unless special processing is performed. This is necessary to identify the source of the audio, i.e., to identify the speaker. Timbre can be obtained by analyzing the audio's voiceprint. If the similarity between the voiceprint information before and after transmission is high, it indicates that the timbre is the same. If the similarity is low, it indicates a possible anomaly. Since infrared light is less affected by electromagnetic interference and is only influenced by ambient light intensity and the type and location of obstacles, the reason for the abnormal voiceprint before and after transmission is determined to be the difference in frequencies between the receiving and transmitting devices. If the frequencies are different, it may cause audio distortion and aberration. Therefore, it is necessary to control the Euclidean distance between the receiving and transmitting frequencies to remain within a predetermined range, i.e., to control the receiving and transmitting frequencies to be dynamically equal. When the receiving and transmitting frequencies are dynamically equal, but the audio voiceprint similarity is still less than the predetermined value, it indicates that the receiving device may be faulty and needs to be replaced directly to ensure that the audio voiceprint similarity remains less than the predetermined value.

[0130] like Figure 3As shown, a second aspect of the present invention also provides an infrared transmission vulnerability optimization system for wireless audio in a conference system. The infrared transmission vulnerability optimization system includes a memory 31 and a processor 32. The memory 31 stores an infrared transmission vulnerability optimization method. When the processor 32 executes the infrared transmission vulnerability optimization method, it performs the following steps:

[0131] The time-spectrum of the wireless audio signal of the conference system is calculated, and the signal is converted based on the time-spectrum to obtain the wireless infrared light audio signal.

[0132] The system controls the infrared light receiving device to receive and process wireless infrared light audio signals in real time, obtains wireless filtered and demodulated audio signals, and analyzes the wireless filtered and demodulated audio signals to achieve signal status evaluation and classification of wireless infrared light audio signals.

[0133] The non-compliant wireless infrared audio signals obtained by classifying the characteristics of the audio signal transmission environment and the signal status are combined and analyzed, and the infrared transmission risks are optimized based on the combined analysis results.

[0134] The above are merely specific embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for optimizing the infrared transmission vulnerability of wireless audio in a conference system, characterized in that, Includes the following steps: S102: Perform time-spectrum calculation on the wireless audio of the conference system, and convert the wireless audio signal based on the time-spectrum to obtain the wireless infrared light audio signal; S104: Controls the infrared light receiving device to receive and process wireless infrared light audio signals in real time, obtains wireless filtered and demodulated audio signals, and analyzes the wireless filtered and demodulated audio signals to realize the signal status evaluation and classification of wireless infrared light audio signals. S106: Combine and analyze the unqualified wireless infrared light and audio signals obtained from the classification of audio signal transmission environment characteristics and signal status, and optimize the infrared transmission hidden dangers based on the combined analysis results. Specifically, S104 is: Acquire an infrared light receiving device that performs wireless infrared light audio signal reception, and designate it as the target infrared light receiving device; The infrared transmitter and the wireless audio signal transmission environment of the conference system are obtained. Based on the infrared transmitter, a wireless infrared light audio signal is transmitted within the wireless audio signal transmission environment of the conference system, and the wireless infrared light audio signal is received in real time based on the infrared light receiving device. An infrared demodulator and a Mel filter are installed in the infrared light receiving device. Based on the infrared demodulator, the wireless infrared light audio signal is demodulated to obtain a wireless demodulated audio signal. The wireless demodulated audio signal is fed into a Mel filter, which performs audio framing processing on the wireless demodulated audio signal. A Hamming window function is then applied to the wireless demodulated audio signals of different frames for windowing processing. Meanwhile, the windowed wireless demodulated audio signals of different frames are subjected to discrete cosine transform and frame combining processing to obtain the filtered wireless demodulated audio signal, which is then calibrated as the wireless filtered demodulated audio signal. The wirelessly filtered and demodulated audio signal is converted into a signal diagram and calibrated as a wirelessly filtered and demodulated audio signal diagram. Based on the wirelessly filtered and demodulated audio signal diagram, the signal strength and time delay of the wirelessly filtered and demodulated audio signal are calculated. Based on the signal strength and time delay of wireless filtered and demodulated audio signals, the signal state assessment and classification of wireless infrared audio signals are performed as follows: The SVM algorithm is introduced, and an initial SVM model is constructed based on the SVM algorithm. The preset signal strength standard threshold and latency standard threshold are converted into feature data and imported into the SVM initial model for model training to obtain the SVM training model. The SVM training model can evaluate and classify the signal strength and latency of wireless filtered and demodulated audio signals. The signal strength and time delay of the wirelessly filtered and demodulated audio signal are imported into the SVM training model, and the wirelessly filtered and demodulated audio signal is analyzed within the SVM training model. If the signal strength and time delay of the wireless filtered and demodulated audio signal are maintained within the standard thresholds for signal strength and time delay, then the wireless infrared audio signal is calibrated as qualified. If the signal strength and latency of the wireless filtered and demodulated audio signal are not within the standard thresholds for signal strength and latency, the wireless infrared audio signal will be calibrated as unqualified.

2. The method for optimizing infrared transmission risks in wireless audio of a conference system according to claim 1, characterized in that, Specifically, S102 is as follows: The wireless audio signal of the conference system is acquired in real time by an audio acquisition device, and the wireless audio signal of the conference system is preprocessed to obtain the preprocessed wireless audio signal of the conference system. The pre-processed wireless audio signal of the conference system that needs to be transmitted in infrared is identified as the target wireless audio signal; The current audio signal format of the target wireless audio signal is converted into a time series format to obtain a time series target wireless audio signal. A short-time Fourier transform algorithm is then introduced to divide the time series target wireless audio signal into time windows to obtain a time series target wireless audio signal for a single time window. Apply Discrete Fourier Transform to the time-series target wireless audio signals of all individual time windows to obtain the frequency of the time-series target wireless audio signals of each individual time window. Combine and arrange the frequencies of the time-series target wireless audio signals of all individual time windows to obtain the time spectrum of the time-series target wireless audio signals, which is then labeled as the target time spectrum. An analog-to-digital converter is obtained, a target time spectrum is applied within the analog-to-digital converter, and the time-series target wireless audio signal is converted into a digital signal through the analog-to-digital converter with the target time spectrum applied. At the same time, an encoder is introduced to perform audio encoding processing on the time-series target wireless audio signal after digital signal conversion, so as to obtain a wireless audio encoded digital signal. The transmission environment characteristics of the wireless audio signal of the conference system are obtained and calibrated as audio signal transmission environment characteristics. A big data network is introduced, and an infrared light carrier frequency suitable for application within the audio signal transmission environment characteristics is retrieved based on the big data network and calibrated as the target infrared light carrier frequency. The audio signal transmission environment characteristics include the ambient light intensity, obstacle location, and obstacle type when the wireless audio signal of the conference system is transmitted. An infrared modulator is obtained, and an infrared light carrier is generated on the infrared modulator based on the target infrared light carrier frequency. This is calibrated as the target infrared light carrier. The wireless audio coded digital signal is modulated onto the target infrared light carrier through the infrared modulator to obtain the infrared light signal of the wireless audio coded digital signal, which is calibrated as the wireless infrared light audio signal.

3. The method for optimizing the infrared transmission vulnerability of wireless audio in a conference system according to claim 1, characterized in that, Specifically, S106 is as follows: When the wireless infrared light audio signal is a substandard wireless infrared light audio signal, a simulation model of the wireless infrared light audio signal transmission environment is constructed based on the characteristics of the audio signal transmission environment and calibrated as an environmental characteristic simulation model. Among them, the environmental feature simulation model can simulate and adjust the ambient light intensity; Within the environmental feature simulation model, an analog signal of the wireless infrared light and audio signal is established based on the wireless infrared light and audio signal and calibrated as the wireless infrared light and audio analog signal. The ambient light intensity threshold that enables wireless infrared audio signals to maintain a qualified signal state during transmission is retrieved from the big data network and calibrated as the ambient light intensity standard threshold. Within the environmental feature simulation model, the wireless infrared light and audio analog signal is controlled to perform simulated infrared transmission. During the simulated infrared transmission, the ambient light intensity is simulated and adjusted within the environmental feature simulation model so that the ambient light intensity within the environmental feature simulation model is maintained within the standard threshold of ambient light intensity. If the wireless infrared audio simulation signal is qualified after the ambient light intensity is adjusted, that is, the signal strength and latency are maintained within the standard threshold of signal strength and latency, then all lighting devices in the wireless audio signal transmission environment of the conference system are acquired, calibrated as ambient lighting devices, and all ambient lighting devices are uniformly controlled to maintain the ambient light intensity in the wireless audio signal transmission environment within the standard threshold of ambient light intensity. If the simulated wireless infrared audio signal is unqualified after the ambient light intensity is adjusted, then the location and type of obstacles are analyzed in the environmental feature simulation model. Based on the analysis results, a qualified simulated transmission route is generated, and the infrared transmission of the wireless infrared audio signal is optimized based on the qualified simulated transmission route.

4. The method for optimizing the infrared transmission vulnerability of wireless audio in a conference system according to claim 3, characterized in that, The process involves analyzing the location and type of obstacles within an environmental feature simulation model, generating a qualified simulated transmission route based on the analysis results, and optimizing the infrared transmission of wireless infrared optical and audio signals based on the qualified simulated transmission route. Specifically: Simulated obstacles are obtained within the environmental feature simulation model, where the location and type of the simulated obstacles are equal to the location and type of obstacles in the wireless audio signal transmission environment; Searching for the attenuation of wireless infrared optical and audio signals when passing through different types of obstacles in a big data network; Based on the standard threshold of signal strength and the standard threshold of latency, a dangerous attenuation threshold is preset. If there are obstacles in the wireless audio signal transmission environment that cause the attenuation of the wireless infrared audio signal to be greater than the dangerous attenuation threshold, then the corresponding obstacle is marked as a Class I obstacle, and other obstacles in the wireless audio signal transmission environment are marked as Class II obstacles. Based on Class I and Class II obstacles, we obtain Class I simulated obstacles and Class II simulated obstacles. Based on the obstacle locations within the wireless audio signal transmission environment, we obtain the locations of Class I simulated obstacles and Class II simulated obstacles. The RRT algorithm is introduced to determine the simulated transmission start point and simulated transmission end point within the environmental feature simulation model. Based on the RRT algorithm, simulated transmission routes of all wireless infrared light and audio simulated signals from the simulated transmission start point to the simulated transmission end point are generated and marked as simulated transmission routes to be selected. Route analysis is performed on all candidate analog transmission routes, and infrared transmission of wireless infrared optical audio signals is optimized based on the analysis results.

5. The method for optimizing the infrared transmission vulnerability of wireless audio in a conference system according to claim 4, characterized in that, The process of performing route analysis on all candidate analog transmission routes and optimizing the infrared transmission of the wireless infrared optical audio signal based on the analysis results specifically includes: Combining the locations of Type I and Type II simulated obstacles, all candidate simulated transmission routes that do not pass through Type I simulated obstacle locations are marked as qualified simulated transmission routes; If a qualified simulated transmission route exists, calculate the route length of all qualified simulated transmission routes, and select the qualified simulated transmission route with the shortest route length as the target simulated transmission route. Based on the target simulated transmission route, a type of target transmission route is generated in the wireless audio signal transmission environment, and the transmission space angle of the infrared transmitter and the reception space angle of the target infrared light receiving device are calculated when the wireless infrared light audio signal is transmitted along the type of target transmission route, and calibrated as the type of target transmission space angle and the type of target reception space angle. Control the infrared transmitter to transmit wireless infrared light and audio signals at a target transmission angle, and control the target infrared light receiving device to receive the wireless infrared light and audio signals at a target reception angle, so that the wireless infrared light and audio signals are qualified wireless infrared light and audio signals. If no qualified analog transmission route exists, the shortest analog transmission route is selected from all available analog transmission routes, and a transmission route corresponding to the shortest analog transmission route is generated within the wireless audio signal transmission environment and designated as a Class II target transmission route. Based on the transmission route of type II targets, the transmission space angle of the infrared transmitter and the reception space angle of the infrared light receiving device of the target are calculated when the wireless infrared light audio signal is transmitted along the transmission route of type II targets, and are calibrated as the transmission space angle and reception space angle of type II targets. The infrared transmitter is controlled to transmit wireless infrared light and audio signals at a spatial angle corresponding to a type II target, and the infrared light receiving device at the target is controlled to receive the wireless infrared light and audio signals at a spatial angle corresponding to a type II target. At the same time, the signal strength of the wireless infrared light and audio signals is adjusted in the infrared transmitter to ensure that the wireless infrared light and audio signals are qualified wireless infrared light and audio signals.

6. A system for optimizing the infrared transmission vulnerability of wireless audio in a conference system, characterized in that, The infrared transmission hazard optimization system includes a memory and a processor. The memory stores an infrared transmission hazard optimization method program. When the infrared transmission hazard optimization method program is executed by the processor, the infrared transmission hazard optimization method steps as described in any one of claims 1-5 are implemented.

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