Emergency scheduling method based on analog transmission and enhanced coding and decoding algorithm

Abstract

The invention discloses an emergency scheduling method based on analog transmission and enhanced coding and decoding algorithms, which comprises the following steps of: arranging a central processing platform for receiving and distributing audio and video signals in a central command room, acquiring audio signals from each emergency communication node, coding the audio signals into network streaming media audio signals, and transmitting the network streaming media audio signals to the central command room; the audio processing module is used for transmitting to a central processing platform of a central command room through a network link; collecting video signals from each emergency communication node, and encoding the video signals into network streaming media video signals; transmitting the compressed digital signal to a central processing platform through an emergency communication network; performing secondary editing on the central processing platform; and at the target emergency communication node, decoding the received digital signal by using a central processing platform enhanced coding and decoding algorithm, and restoring the digital signal into an analog signal. According to the invention, efficient transmission and control of multi-type multimedia signals are realized through network coding and enhanced coding and decoding algorithms, and real-time transmission and multi-point interaction of information are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of emergency dispatch, and in particular to an emergency dispatch method based on analog transmission and enhanced coding and decoding algorithm. Background Art

[0002] In the field of emergency communications, the demand for communications in natural disasters, accident sites, and remote areas is increasing. Traditional emergency communications systems mainly rely on digital communication technologies, which are easily interfered with in harsh environments, strong electromagnetic interference, or unstable signal coverage, resulting in communication interruptions or quality degradation. In this case, reliable emergency communications are difficult to achieve, affecting the efficiency and effectiveness of emergency rescue.

[0003] Existing digital communication systems mainly rely on radio waves for signal transmission, but in environments with strong electromagnetic interference, such as cities after earthquakes, fire sites, industrial accident areas, etc., there are many electromagnetic interference sources, and digital signals are easily interfered, resulting in unstable communication. In addition, in remote areas with unstable signal coverage, the existing communication infrastructure is insufficient, resulting in poor transmission quality of digital communication signals and unable to ensure reliable communication links.

[0004] In addition, there are also some problems with the application of traditional codec algorithms in emergency communications. First, traditional codec algorithms often introduce high delays in data compression and transmission, affecting the real-time nature of communication. In emergency situations, rapid response and efficient communication are crucial. Delays can lead to untimely transmission of emergency instructions, affecting rescue effectiveness. Second, the traditional codec algorithm has insufficient compression efficiency, resulting in poor quality of transmitted audio and video signals, which cannot meet the demand for high-quality audio and video transmission in emergency communications.

[0005] The existing emergency communication system lacks flexibility and scalability in design, and is difficult to adapt to various complex emergency scenarios. The deployment time of traditional systems is long, and it is difficult to quickly establish a communication network after a disaster occurs. In addition, the existing system also has deficiencies in multimedia signal interaction and control between emergency communication nodes and the central command room, and cannot achieve efficient multi-point interaction and real-time control.

[0006] In summary, the application of existing technologies in emergency communications has many deficiencies and cannot meet the high reliability, low latency and high-quality transmission requirements of emergency communications. Therefore, how to provide an emergency dispatch method based on analog transmission and enhanced coding and decoding algorithms is an urgent problem to be solved by those skilled in the art. Summary of the invention

[0007] One purpose of the present invention is to propose an emergency dispatch method based on analog transmission and enhanced coding and decoding algorithms. The present invention realizes efficient transmission and control of multiple types of multimedia signals through network coding and enhanced coding and decoding algorithms, ensuring real-time transmission and multi-point interaction of information.

[0008] An emergency dispatch method based on analog transmission and enhanced coding and decoding algorithm according to an embodiment of the present invention comprises the following steps:

[0009] S1. Deploy multimedia-related microphones, speakers, cameras and displays at each emergency communication node, and transmit the audio and video signals, MCU signals, computer screen and other types of multimedia signals of each emergency communication node to the central command room through network coding;

[0010] S2. A central processing platform for receiving and distributing audio and video signals is set up in the central command room. The central processing platform connects the audio and video equipment of each emergency communication node, video surveillance screens and other standard audio and video signals, and performs multi-point interaction and control of the signals;

[0011] S3, collect audio signals from each emergency communication node, encode them into network streaming audio signals, and transmit them to the audio processing module of the central processing platform of the central command room through a network link;

[0012] S4, collecting video signals from each emergency communication node, encoding them into network streaming video signals, and transmitting them to the streaming media processing module of the central processing platform of the central command room through a network link;

[0013] S5. In the central command room, the central processing platform is used to enhance the coding and decoding algorithm to pre-process the digital audio and video signals received from the network streaming media, filter out environmental noise and interference signals, and complete the clock synchronization of the signals;

[0014] S6, using an enhanced coding and decoding algorithm to perform clock synchronization network coding on the pre-processed audio signal and video signal to convert them into compressed digital signals;

[0015] S7, the compressed digital signal is transmitted to the central processing platform through the emergency communication network, the platform interacts with the emergency dispatch system in a two-way manner, and each target emergency communication node interacts through the emergency dispatch command system;

[0016] S8. At the target emergency communication node, the received digital signal is decoded using the central processing platform enhanced coding and decoding algorithm to restore it to an analog signal;

[0017] S9, post-processing the decoded audio and video signals, including denoising and enhancing audio and video quality;

[0018] S10, transmitting the processed audio signal to the speaker of the target emergency communication node through the audio line for playing;

[0019] S11, transmitting the processed video signal via a video line to a display of a target emergency communication node for display.

[0020] Optionally, the step S1 includes the following steps:

[0021] S11. Deploy the following multimedia equipment at each emergency communication node:

[0022] Microphone, used to collect audio signals on site A i (t);

[0023] Speaker, used to play the audio signal received from the central command room A i (t);

[0024] Camera, used to collect video signals on site V i (t);

[0025] Display, used to display the video signal V received from the central command room i (t);

[0026] S12, the collected audio signal A i (t) is sampled and filtered through the filter function h A 9n) to process the signal, transform it into the frequency domain, and consider the influence of environmental noise interference, add the noise term ∈ A (t) is compensated, and finally the encoded digital audio signal is obtained

[0027]

[0028] Among them, A i (t) is the original audio signal collected by the i-th emergency communication node, T s is the sampling period, which indicates the sampling time interval of the audio signal, h A (n) is the coding filter function, which represents the filter coefficient of the audio signal after being processed by the encoder. f is the frequency parameter used in the encoding process, which determines the distribution of the audio signal in the frequency domain. A (t) is the noise term, which is used to represent the noise interference introduced in the encoding process;

[0029] Video signal V i (x,y,t) first passes through the filter function g V (x, y), transforming the signal from the spatial domain to the frequency domain, and considering the influence of environmental noise interference, adding a noise term ∈ V(t) is compensated, and finally the encoded digital video signal is obtained

[0030]

[0031] Among them, V i (x, y, t) is the original video signal collected by the i-th emergency communication node, x and y represent the spatial coordinates of the video image, W and H represent the width and height of the video image, g V (x, y) is the coding filter function, which represents the filter coefficients of the video signal after being processed by the encoder. u and v are the spatial frequency parameters used in the encoding process, which determine the distribution of the video signal in the spatial frequency domain. V (t) is the noise term, which is used to represent the noise interference introduced during the encoding process.

[0032] Optionally, S5 includes the following steps:

[0033] S51, in the central command room, use the central processing platform to enhance the codec algorithm to receive the digital audio signal of the network streaming media and digital video signals Perform preprocessing to filter out environmental noise and interference signals, and complete the signal clock synchronization:

[0034]

[0035] Among them, h A (k) is the filter function coefficient, ∈ A (τ) is the noise term, T s is the sampling period, sinc(·) is the sampling function, and the noise is removed and the signal synchronization is maintained through discrete time filtering and noise compensation;

[0036]

[0037] Among them, g V (m,n) is the filter function coefficient, ∈ V (u,v) is the noise term, T p is the spatial sampling period, and denoising and synchronization are achieved through two-dimensional discrete filtering and noise compensation;

[0038] S52, enhance the image and sound of network signals, optimize image visibility and enhance sound resolution:

[0039]

[0040] Among them, V′ i (x, y, t) is the denoised video signal, α 1 is the enhancement factor, It is the Laplacian operator, which is used to enhance image details and contrast;

[0041]

[0042] Where w(k) is the weighted window function and τ is the time delay, which is used to enhance the clarity and resolution of the audio;

[0043] S53, edit and draw the image through a hand-drawn tablet, a touch screen, a multi-touch screen, etc., and process the pre-processed video / image signal V″ i Perform image retouching, editing and compositing:

[0044]

[0045] Among them, M(x,y) is the mask matrix used for image editing and modification, L k (x, y, t) is the drawn graphics and annotations used for the synthesis of video signals;

[0046] S54, use audio processing tools such as compressors and EQ to process the audio signal A″ i (t) Perform correction processing, filter environmental noise and interference signals, and mix multi-channel audio signals:

[0047]

[0048] Where C(·) is the compressor function, θ c is the compressor parameter, E(·) is the equalizer function, f is the frequency component, θ e It is the equalizer parameter, which is used for correction and mixing of audio signals;

[0049] S55. On the central processing platform, the edited audio and video signals are interactively switched and controlled to ensure the transmission and playback of the signals in the emergency dispatch system:

[0050]

[0051] Among them, k n is the interaction control coefficient, τ 1 is the audio time delay, T p It is the video spatial delay, which is used for multi-point interaction and signal switching control.

[0052] Optionally, the S6 includes the following steps:

[0053] S61, using enhanced coding and decoding algorithm to process the pre-processed audio signal and video signal Perform clock synchronization network coding to convert it into a compressed digital signal;

[0054] S611, denoised and enhanced audio signal Perform clock synchronization processing to ensure the time consistency of audio signals between different nodes and generate synchronized audio signals

[0055]

[0056] Among them, δ(k) is the clock synchronization compensation coefficient;

[0057] S612, denoising and enhancing the video signal Perform clock synchronization processing to ensure the time consistency of video signals between different nodes and generate synchronized video signals

[0058]

[0059] Among them, η(u,v) is the clock synchronization compensation coefficient;

[0060] S62, synchronized audio signal Perform network coding to convert it into a compressed digital audio signal

[0061]

[0062] Among them, w A (n) is the audio coding filter function coefficient, which represents the weight distribution of the audio signal during the coding process;

[0063] S63, synchronized video signal Perform network coding to convert it into a compressed digital video signal

[0064]

[0065] Among them, w V (m,n) is the coefficient of the video coding filter function, which represents the weight distribution of the video signal during the coding process;

[0066] S64, the compressed digital audio signal and digital video signals Transmitted to the central processing platform and each emergency communication node through the emergency communication network.

[0067] Optionally, the S8 includes the following steps:

[0068] S81, receiving the compressed digital audio signal Decode and restore it to a synchronous audio signal

[0069]

[0070] in, is the audio decoding filter function coefficient, which represents the weight distribution of the audio signal during the decoding process;

[0071] S82, receiving the compressed digital video signal Decode and restore it to a synchronous video signal

[0072]

[0073] in, is the coefficient of the video decoding filter function, which represents the weight distribution of the video signal during the decoding process;

[0074] S83, combining augmented reality technology to perform real-time enhancement processing on the video signal during the decoding process;

[0075] S84, introduce multi-channel collaborative decoding technology, allowing multiple communication nodes to work together to jointly decode and process the received audio and video signals:

[0076] S85, combine the audio signal Restore to analog audio signal Using a Digital to Analog Converter:

[0077]

[0078] Where K is the number of sampling points;

[0079] S86, the combined video signal Restore to analog video signal Using a Digital to Analog Converter:

[0080]

[0081] Among them, U and V are the number of sampling points;

[0082] S87, the restored analog audio signal and analog video signals The signals are output to the speakers and displays respectively to realize the playback and display of signals, ensuring the real-time communication between the emergency communication nodes and the central command room.

[0083] Optionally, the S83 includes the following steps:

[0084] S831, in the video signal Superimpose real-time information, such as command and dispatch information, location marking, etc., to generate enhanced video signals

[0085]

[0086] Among them, L i (x, y, t) represents the superimposed augmented reality information layer;

[0087] S832, using image processing algorithms to enhance video signals Optimize to improve picture clarity and contrast.

[0088] Optionally, the S84 includes the following steps:

[0089] S841: Fusing audio signals received by multiple nodes to generate a high-quality joint audio signal

[0090]

[0091] in, represents the synchronous audio signal received by the jth node, α j is the weight coefficient;

[0092] S842: Fusion processing is performed on the video signals received by multiple nodes to generate a high-quality joint video signal

[0093]

[0094] in, represents the synchronous video signal received by the jth node, β j is the weight coefficient.

[0095] The beneficial effects of the present invention are:

[0096] The present invention combines the advantages of analog transmission and uses enhanced coding and decoding algorithms to improve data compression rate and transmission efficiency, reduce communication delays, and ensure communication reliability and real-time performance in harsh environments. Analog signals have strong anti-interference capabilities in high-interference environments, and the signal coverage range is wide, which is suitable for emergency communications in complex terrain and densely built areas. The enhanced coding and decoding algorithm can improve the transmission quality of audio and video signals, ensuring that clear sound and images can be transmitted in emergency situations. At the same time, a fast-deployment and highly stable emergency communication system is set up, which can quickly establish a communication network after an emergency occurs. The system supports modular design and can be expanded and configured according to different emergency needs to adapt to various complex emergency scenarios. Between the emergency communication node and the central command room, network coding and enhanced coding and decoding algorithms are used to achieve efficient transmission and control of multiple types of multimedia signals, ensuring real-time transmission of information and multi-point interaction. BRIEF DESCRIPTION OF THE DRAWINGS

[0097] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0098] Figure 1 The present invention provides a flowchart of an emergency dispatch method based on analog transmission and enhanced coding and decoding algorithm. DETAILED DESCRIPTION

[0099] The present invention will now be described in further detail with reference to the accompanying drawings. These drawings are simplified schematic diagrams, which only illustrate the basic structure of the present invention in a schematic manner, and therefore only show the components related to the present invention.

[0100] refer to Figure 1 , an emergency dispatch method based on analog transmission and enhanced coding and decoding algorithm, comprising the following steps:

[0101] S1. Deploy multimedia-related microphones, speakers, cameras and displays at each emergency communication node, and transmit the audio and video signals, MCU signals, computer screen and other types of multimedia signals of each emergency communication node to the central command room through network coding;

[0102] S2. A central processing platform for receiving and distributing audio and video signals is set up in the central command room. The central processing platform connects the audio and video equipment, video surveillance screens and other standard audio and video signals of each emergency communication node, and performs multi-point interaction and control of the signals;

[0103] S3, collect audio signals from each emergency communication node, encode them into network streaming audio signals, and transmit them to the audio processing module of the central processing platform of the central command room through a network link;

[0104] S4, collecting video signals from each emergency communication node, encoding them into network streaming video signals, and transmitting them to the streaming media processing module of the central processing platform of the central command room through a network link;

[0105] S5. In the central command room, the central processing platform is used to enhance the coding and decoding algorithm to pre-process the digital audio and video signals received from the network streaming media, filter out environmental noise and interference signals, and complete the clock synchronization of the signals;

[0106] S6, using an enhanced coding and decoding algorithm to perform clock synchronization network coding on the pre-processed audio signal and video signal to convert them into compressed digital signals;

[0107] S7, the compressed digital signal is transmitted to the central processing platform through the emergency communication network, the platform interacts with the emergency dispatch system in a two-way manner, and each target emergency communication node interacts through the emergency dispatch command system;

[0108] S8. At the target emergency communication node, the received digital signal is decoded using the central processing platform enhanced coding and decoding algorithm to restore it to an analog signal;

[0109] S9, post-processing the decoded audio and video signals, including denoising and enhancing audio and video quality;

[0110] S10, transmitting the processed audio signal to the speaker of the target emergency communication node through the audio line for playing;

[0111] S11, transmitting the processed video signal via a video line to a display of a target emergency communication node for display.

[0112] In this implementation manner, S1 includes the following steps:

[0113] S11. Deploy the following multimedia equipment at each emergency communication node:

[0114] Microphone, used to collect audio signals on site A i (t);

[0115] Speaker, used to play the audio signal received from the central command room A i (t);

[0116] Camera, used to collect video signals on site V i (t);

[0117] Display, used to display the video signal V received from the central command room i (t);

[0118] S12, the collected audio signal Ai (t) is sampled and filtered through the filter function h A (n) is processed to transform the signal into the frequency domain, and considering the influence of environmental noise interference, a noise term ∈ A (t) is compensated, and finally the encoded digital audio signal is obtained

[0119]

[0120] Among them, A i (t) is the original audio signal collected by the i-th emergency communication node, T s is the sampling period, which indicates the sampling time interval of the audio signal, h A (n) is the coding filter function, which represents the filter coefficient of the audio signal after being processed by the encoder. f is the frequency parameter used in the encoding process, which determines the distribution of the audio signal in the frequency domain. A (t) is the noise term, which is used to represent the noise interference introduced in the encoding process;

[0121] Video signal V i (x,y,t) first passes through the filter function g V (x, y), transforming the signal from the spatial domain to the frequency domain, and considering the influence of environmental noise interference, adding a noise term ∈ V (t) is compensated, and finally the encoded digital video signal is obtained

[0122]

[0123] Among them, V i (x, y, t) is the original video signal collected by the i-th emergency communication node, x and y represent the spatial coordinates of the video image, W and H represent the width and height of the video image, g V (x, y) is the coding filter function, which represents the filter coefficients of the video signal after being processed by the encoder. u and v are the spatial frequency parameters used in the encoding process, which determine the distribution of the video signal in the spatial frequency domain. V (t) is the noise term, which is used to represent the noise interference introduced during the encoding process.

[0124] In this implementation, S5 includes the following steps:

[0125] S51, in the central command room, use the central processing platform to enhance the codec algorithm to receive the digital audio signal of the network streaming media and digital video signals Perform preprocessing to filter out environmental noise and interference signals, and complete the signal clock synchronization:

[0126]

[0127] Among them, h A (k) is the filter function coefficient, ∈ A (τ) is the noise term, T s is the sampling period, sinc(·) is the sampling function, and the noise is removed and the signal synchronization is maintained through discrete time filtering and noise compensation;

[0128]

[0129] Among them, g V (m,n) is the filter function coefficient, ∈ V (u,v) is the noise term, T p is the spatial sampling period, and denoising and synchronization are achieved through two-dimensional discrete filtering and noise compensation;

[0130] S52, enhance the image and sound of network signals, optimize image visibility and enhance sound resolution:

[0131]

[0132] Among them, V′ i (x, y, t) is the denoised video signal, α 1 is the enhancement factor, It is the Laplacian operator, which is used to enhance image details and contrast;

[0133]

[0134] Where w(k) is the weighted window function and τ is the time delay, which is used to enhance the clarity and resolution of the audio;

[0135] S53, edit and draw the image through a hand-drawn tablet, a touch screen, a multi-touch screen, etc., and process the pre-processed video / image signal V″ i Perform image retouching, editing and compositing:

[0136]

[0137] Among them, M(x,y) is the mask matrix used for image editing and modification, L k (x, y, t) is the drawn graphics and annotations used for the synthesis of video signals;

[0138] S54, use audio processing tools such as compressors and EQ to process the audio signal A″ i (t) Perform correction processing, filter environmental noise and interference signals, and mix multi-channel audio signals:

[0139]

[0140] Where C(·) is the compressor function, θ c is the compressor parameter, E(·) is the equalizer function, f is the frequency component, θ e It is the equalizer parameter, which is used for correction and mixing of audio signals;

[0141] S55. On the central processing platform, the edited audio and video signals are interactively switched and controlled to ensure the transmission and playback of the signals in the emergency dispatch system:

[0142]

[0143] Among them, k n is the interaction control coefficient, τ 1 is the audio time delay, T p It is the video spatial delay, which is used for multi-point interaction and signal switching control.

[0144] In this implementation, S6 includes the following steps:

[0145] S61, using enhanced coding and decoding algorithm to process the pre-processed audio signal and video signal Perform clock synchronization network coding to convert it into a compressed digital signal;

[0146] S611, denoised and enhanced audio signal Perform clock synchronization processing to ensure the time consistency of audio signals between different nodes and generate synchronized audio signals

[0147]

[0148] Among them, δ(k) is the clock synchronization compensation coefficient;

[0149] S612, denoising and enhancing the video signal Perform clock synchronization processing to ensure the time consistency of video signals between different nodes and generate synchronized video signals

[0150]

[0151] Among them, η(u,v) is the clock synchronization compensation coefficient;

[0152] S62, synchronized audio signal Perform network coding to convert it into a compressed digital audio signal

[0153]

[0154] Among them, w A (n) is the audio coding filter function coefficient, which represents the weight distribution of the audio signal during the coding process;

[0155] S63, synchronized video signal Perform network coding to convert it into a compressed digital video signal

[0156]

[0157] Among them, w V (m,n) is the coefficient of the video coding filter function, which represents the weight distribution of the video signal during the coding process;

[0158] S64, the compressed digital audio signal and digital video signals Transmitted to the central processing platform and each emergency communication node through the emergency communication network.

[0159] In this implementation, S8 includes the following steps:

[0160] S81, receiving the compressed digital audio signal Decode and restore it to a synchronous audio signal

[0161]

[0162] in, is the audio decoding filter function coefficient, which represents the weight distribution of the audio signal during the decoding process;

[0163] S82, receiving the compressed digital video signal Decode and restore it to a synchronous video signal

[0164]

[0165] in, is the coefficient of the video decoding filter function, which represents the weight distribution of the video signal during the decoding process;

[0166] S83, combining augmented reality technology to perform real-time enhancement processing on the video signal during the decoding process;

[0167] S84, introduce multi-channel collaborative decoding technology, allowing multiple communication nodes to work together to jointly decode and process the received audio and video signals:

[0168] S85, combine the audio signal Restore to analog audio signal Using a Digital to Analog Converter:

[0169]

[0170] Where K is the number of sampling points;

[0171] S86, the combined video signal Restore to analog video signal Using a Digital to Analog Converter:

[0172]

[0173] Among them, U and V are the number of sampling points;

[0174] S87, the restored analog audio signal and analog video signals The signals are output to the speakers and displays respectively to realize the playback and display of signals, ensuring the real-time communication between the emergency communication nodes and the central command room.

[0175] In this implementation, S83 includes the following steps:

[0176] S831, in the video signal Superimpose real-time information, such as command and dispatch information, location marking, etc., to generate enhanced video signals

[0177]

[0178] Among them, L i (x, y, t) represents the superimposed augmented reality information layer;

[0179] S832, using image processing algorithms to enhance video signals Optimize to improve picture clarity and contrast.

[0180] In this implementation, S84 includes the following steps:

[0181] S841: Fusing audio signals received by multiple nodes to generate a high-quality joint audio signal

[0182]

[0183] in, represents the synchronous audio signal received by the jth node, α j is the weight coefficient;

[0184] S842: Fusion processing is performed on the video signals received by multiple nodes to generate a high-quality joint video signal

[0185]

[0186] in, represents the synchronous video signal received by the jth node, β j is the weight coefficient.

[0187] Embodiment 1:

[0188] In a typical natural disaster scenario, a coastal city was hit by a strong typhoon. The typhoon caused widespread power outages and communication interruptions, paralyzing many areas of the city. As the communication base station was destroyed, traditional digital communication methods could not work properly, and communication between the rescue command center and the front-line rescue teams became extremely difficult, seriously affecting the rescue work. In order to cope with this emergency, it was decided to adopt an emergency dispatch method based on analog transmission and enhanced coding and decoding algorithms to ensure reliable emergency communications in high interference and weak signal environments.

[0189] In the first moments of post-typhoon rescue, the rescue command center decided to deploy emergency communication nodes in each disaster-stricken area. Each node is equipped with multimedia equipment, including microphones, speakers, cameras and displays. Each node transmits audio and video data through analog signals, and uses enhanced codec algorithms to compress, transmit and decode data to ensure real-time delivery of rescue information.

[0190] The specific implementation steps are as follows:

[0191] Install and configure the environment: Install the Python language compilation environment to ensure that the system can run Python scripts. Use the `pip install` command to download the required Python packages, including NumPy, SciPy, PyAudio, and OpenCV. When all Python packages are successfully installed, test the network environment to ensure that the network connection between the communication node and the command center is normal.

[0192] Deploy emergency communication nodes: Microphones, speakers, cameras, and displays are installed at each emergency communication node in the disaster area. These devices are connected to the central command room through the network. The emergency communication nodes collect on-site audio signals through microphones and video signals through cameras, and transmit these signals to the command center through analog transmission and network coding.

[0193] Data collection and transmission: At the emergency communication node, the audio signal collected by the microphone and the video signal collected by the camera are pre-processed through filters to remove environmental noise. The pre-processed audio and video signals are compressed by an encoder to generate digital signals; the encoded audio and video signals are transmitted to the central processing platform of the command center through the network.

[0194] Central processing platform processing: In the command center, the central processing platform receives and decodes the transmitted digital audio and video signals. The decoded audio and video signals are processed for clock synchronization to ensure the signal time consistency between different nodes. The audio and video signals are processed for picture and sound enhancement to optimize image details and audio clarity. The central processing platform performs multi-point interactive control on the processed signals to achieve switching and distribution of multiple signals.

[0195] Signal transmission and restoration: The central processing platform compresses the processed signal again through network coding and transmits it to the target emergency communication node. At the target emergency communication node, the compressed signal is received and decoded to restore it to a synchronous audio and video signal. The synchronous signal is finally restored to an analog signal through a digital-to-analog converter and played through speakers and displays to achieve real-time restoration of on-site audio and video information.

[0196] In order to verify the feasibility and effectiveness of the present invention, a disaster-stricken area after a typhoon was selected as a simulation scenario and a simulation exercise was conducted. During the exercise, the emergency communication effects based on the traditional digital communication method and the method of the present invention were tested respectively, and the relevant data were recorded.

[0197] Comparative test between the traditional method and the method of the present invention:

[0198] Test time: The golden rescue time within 24 hours after a disaster.

[0199] Test location: rescue command center and three frontline emergency communication nodes in the disaster-stricken area.

[0200] The data collection and comparison are shown in Table 1 below:

[0201] Table 1 Comparative test data of emergency communication methods

[0202]

[0203]

[0204] Specific training sample display:

[0205] At the emergency communication node, the audio signal collected by the microphone is the command voice of a rescue team member at the scene. After being processed by the filter, the clarity of the audio signal is significantly improved. The video signal collected by the camera is the disaster situation at the scene. After filtering and encoding, the resolution and clarity of the video signal are significantly improved.

[0206] The audio and video signals transmitted to the command center are processed for picture and sound enhancement on the central processing platform. Through algorithm optimization, the quality of audio and video signals is significantly improved. The command center monitors the on-site situation in real time through the display and listens to the on-site command voice through the speaker, ensuring the smooth progress of the rescue work.

[0207] The central processing platform re-encodes the enhanced signal and transmits it to the target emergency communication node. The target node decodes and restores the audio and video signals, which are then output to speakers and displays through a digital-to-analog converter, achieving high-quality real-time communication.

[0208] Through the above simulation process and data comparison, the emergency communication capability of the present invention in high interference and weak signal environment is verified. When facing complex environments, traditional methods have large signal transmission delays and high packet loss rates, which affect communication quality and rescue efficiency. The method of the present invention significantly improves the transmission quality and real-time performance of audio and video signals by combining analog transmission and enhanced coding and decoding algorithms, ensuring the reliability and effectiveness of emergency communications and providing strong technical support for emergency rescue.

[0209] The present invention realizes reliable communication by deploying multimedia equipment in emergency communication nodes and using analog signal transmission, taking advantage of the advantages of analog signals in high interference environments. When facing an environment with strong electromagnetic interference, analog signals have strong anti-interference capabilities, enabling the system to maintain stable communications under harsh conditions such as disaster sites and accident areas, thereby significantly improving the reliability of emergency communications.

[0210] The present invention performs clock synchronization and network coding on the pre-processed audio and video signals through an enhanced coding and decoding algorithm, thereby significantly improving data compression rate and transmission efficiency and reducing communication delay. The specific implementation includes filtering, denoising and clock synchronization processing on audio and video signals, and performing network coding through an optimized coding filter function to ensure efficient transmission of audio and video signals after compression. The enhanced coding and decoding algorithm is used in the central command room to perform picture and sound enhancement processing on the received audio and video signals to optimize picture visibility and sound resolution. The image enhancement algorithm and the audio enhancement algorithm are used to significantly improve the details and contrast of the image, as well as the clarity and resolution of the audio, to ensure that the audio and video signals transmitted in emergency situations are of high quality.

[0211] The system design of the present invention focuses on rapid installation and startup, and can quickly establish a communication network after an emergency occurs. By deploying microphones, speakers, cameras and displays at each emergency communication node, and transmitting multiple types of multimedia signals to the central command room through network coding, it is ensured that the emergency communication system can be put into use in a short time, reducing the time for emergency response. The system supports modular design and can be expanded and configured according to different emergency needs to adapt to various complex emergency scenarios. The system can monitor the status of the communication link and the quality of data transmission in real time, has adaptive capabilities, and can dynamically adjust transmission parameters according to environmental changes to ensure the stability and reliability of the communication link.

[0212] The present invention realizes efficient transmission and control of multimedia signals between emergency communication nodes and the central command room through the enhanced coding and decoding algorithm of the central processing platform. Multi-point interaction and real-time control of audio and video signals ensure efficient transmission of information in the emergency communication system. The central processing platform can perform multi-point interactive control of the received audio and video signals, including signal switching, control processing, etc., to ensure smooth information exchange between the emergency communication nodes and the central command room.

[0213] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. An emergency dispatch method based on analog transmission and enhanced coding and decoding algorithm, characterized in that: The following steps are involved: S1. Deploy multimedia-related microphones, speakers, screen output devices and display devices at each emergency communication node, and transmit the audio and video signals, MCU signals, computer screen and other types of multimedia signals of each emergency communication node to the central command room through network coding; S2. A central processing platform for receiving and distributing audio and video signals is set up in the central command room. The central processing platform connects the audio and video equipment of each emergency communication node, video surveillance screens and other standard audio and video signals, and performs multi-point interaction and control of the signals; S3, collect audio signals from each emergency communication node, encode them into network streaming audio signals, and transmit them to the audio processing module of the central processing platform of the central command room through the network link; S4, collecting video signals from each emergency communication node, encoding them into network streaming video signals, and transmitting them to the streaming media processing module of the central processing platform of the central command room through a network link; S5. In the central command room, the central processing platform is used to enhance the coding and decoding algorithm to pre-process the digital audio and video signals received from the network streaming media, filter out environmental noise and interference signals, and complete the clock synchronization of the signals; S6, using an enhanced coding and decoding algorithm to perform clock synchronization network coding on the pre-processed audio signal and video signal to convert them into compressed digital signals; S7, the compressed digital signal is transmitted to the central processing platform through the emergency communication network, the platform interacts with the emergency dispatch system in a two-way manner, and each target emergency communication node interacts through the emergency dispatch command system; S8. At the target emergency communication node, the received digital signal is decoded using the central processing platform enhanced coding and decoding algorithm to restore it to an analog signal; S9, post-processing the decoded audio and video signals, including denoising and enhancing audio and video quality; S10, transmitting the processed audio signal to the speaker of the target emergency communication node through the audio line for playing; S11, transmitting the processed video signal via a video line to a display device of a target emergency communication node for display.

2. The emergency dispatch method based on analog transmission and enhanced coding and decoding algorithm according to claim 1, characterized in that: The S1 shown includes the following steps: S11. Deploy the following multimedia equipment at each emergency communication node: Microphone, used to collect audio signals on site A i (t); Speaker, used to play the audio signal received from the central command room A i (t); Screen output device, used to collect on-site video signals V i (t); Display device, used to display the video signal V received from the central command room i (t); S12, the collected audio signal A i (t) is sampled and filtered through the filter function h A (n) is processed to transform the signal into the frequency domain, and considering the influence of environmental noise interference, a noise term ∈ A (t) is compensated, and finally the encoded digital audio signal S is obtained Ai (t): Among them, A i (t) is the original audio signal collected by the i-th emergency communication node, T s is the sampling period, which indicates the sampling time interval of the audio signal, h A (n) is the coding filter function, which represents the filter coefficient of the audio signal after being processed by the encoder. f is the frequency parameter used in the encoding process, which determines the distribution of the audio signal in the frequency domain. A (t) is the noise term, which is used to represent the noise interference introduced in the encoding process; Video signal V i (x, y, t) first passes through the filter function g V (x, y), transforming the signal from the spatial domain to the frequency domain, and considering the influence of environmental noise interference, adding a noise term ∈ V (t) is compensated, and finally the encoded digital video signal S is obtained Vi (t): Among them, V i (x, y, t) is the original video signal collected by the i-th emergency communication node, x and y represent the spatial coordinates of the video image, W and H represent the width and height of the video image, g V (x, y) is the coding filter function, which represents the filter coefficients of the video signal after being processed by the encoder. u and v are the spatial frequency parameters used in the encoding process, which determine the distribution of the video signal in the spatial frequency domain. V (t) is the noise term, which is used to represent the noise interference introduced during the encoding process.

3. The emergency dispatch method based on analog transmission and enhanced coding and decoding algorithm according to claim 2 is characterized in that: The S5 comprises the following steps: S51, in the central command room, the central processing platform is used to enhance the encoding and decoding algorithm to receive the digital audio signal S of the network streaming media Ai (t) and digital video signal S Vi (t) Perform preprocessing to filter out environmental noise and interference signals, and complete the signal clock synchronization: Among them, h A (k) is the filter function coefficient, ∈ A (τ) is the noise term, T s is the sampling period, sinc(·) is the sampling function, and the noise is removed and the signal synchronization is maintained through discrete time filtering and noise compensation; Among them, g V (m,n) is the filter function coefficient, ∈ V (u,v) is the noise term, T p is the spatial sampling period, and denoising and synchronization are achieved through two-dimensional discrete filtering and noise compensation; S52, enhance the image and sound of the network signal, optimize the image visibility and enhance the sound resolution: Among them, V' i (x, y, t) is the denoised video signal, α1 is the enhancement coefficient, It is the Laplacian operator, which is used to enhance image details and contrast; Where w(k) is the weighted window function and τ is the time delay, which is used to enhance the clarity and resolution of the audio; S53, edit and draw the image through a hand-drawn tablet, a touch screen, a multi-touch screen, etc., and process the pre-processed video / image signal V″ i Perform image retouching, editing and compositing: Among them, M(x,y) is the mask matrix used for image editing and modification, L k (x, y, t) is the drawn graphics and annotations used for the synthesis of video signals; S54, use audio processing tools such as compressors and EQ to process the audio signal A″ i (t) Perform correction processing, filter environmental noise and interference signals, and mix multi-channel audio signals: Where C(·) is the compressor function, θ c is the compressor parameter, E(·) is the equalizer function, f is the frequency component, θ e It is the equalizer parameter, which is used for correction and mixing of audio signals; S55. On the central processing platform, the edited audio and video signals are interactively switched and controlled to ensure the transmission and playback of the signals in the emergency dispatch system: Among them, k n is the interaction control coefficient, τ1 is the audio time delay, T p It is the video spatial delay, which is used for multi-point interaction and signal switching control.

4. The emergency dispatch method based on analog transmission and enhanced coding and decoding algorithm according to claim 3 is characterized in that: The S6 comprises the following steps: S61, using enhanced coding and decoding algorithm to process the pre-processed audio signal and video signal Perform clock synchronization network coding to convert it into a compressed digital signal; S611, denoised and enhanced audio signal Perform clock synchronization processing to ensure the time consistency of audio signals between different nodes and generate synchronized audio signals Among them, δ(k) is the clock synchronization compensation coefficient; S612, denoising and enhancing the video signal Perform clock synchronization processing to ensure the time consistency of video signals between different nodes and generate synchronized video signals Among them, η(u,v) is the clock synchronization compensation coefficient; S62, synchronized audio signal Perform network coding to convert it into a compressed digital audio signal Among them, w A (n) is the audio coding filter function coefficient, which represents the weight distribution of the audio signal during the coding process; S63, synchronized video signal Perform network coding to convert it into a compressed digital video signal : Among them, w V (m,n) is the coefficient of the video coding filter function, which represents the weight distribution of the video signal during the coding process; S64, the compressed digital audio signal C Ai (t) and digital video signal C Vi (t) Transmitted to the central processing platform and each emergency communication node through the emergency communication network.

5. The emergency dispatch method based on analog transmission and enhanced coding and decoding algorithm according to claim 4 is characterized in that: The S8 comprises the following steps: S81, receiving the compressed digital audio signal C Ai (t) Decode and restore it to a synchronous audio signal in, is the audio decoding filter function coefficient, which represents the weight distribution of the audio signal during the decoding process; S82, receiving the compressed digital video signal C Vi (t) Decode and restore it to a synchronous video signal in, is the coefficient of the video decoding filter function, which represents the weight distribution of the video signal during the decoding process; S83, combining augmented reality technology to perform real-time enhancement processing on the video signal during the decoding process; S84, introduce multi-channel collaborative decoding technology, allowing multiple communication nodes to work together to jointly decode and process the received audio and video signals: S85, combine the audio signal Restore to analog audio signal Using a Digital to Analog Converter: Where K is the number of sampling points; S86, the combined video signal Restore to analog video signal Using a Digital to Analog Converter: Among them, U and V are the number of sampling points; S87, the restored analog audio signal and analog video signals The signals are output to the speakers and display devices respectively to realize the playback and display of signals, thus ensuring the real-time communication between the emergency communication nodes and the central command room.

6. The emergency dispatch method based on analog transmission and enhanced coding and decoding algorithm according to claim 5, characterized in that: The S83 comprises the following steps: S831, in the video signal Superimpose real-time information, such as command and dispatch information, location marking, etc., to generate enhanced video signals Among them, L i (x, y, t) represents the superimposed augmented reality information layer; S832, using image processing algorithms to enhance video signals Optimize to improve picture clarity and contrast.

7. The emergency dispatch method based on analog transmission and enhanced coding and decoding algorithm according to claim 6 is characterized in that: The S84 comprises the following steps: S841: Fusing audio signals received by multiple nodes to generate a high-quality joint audio signal in, represents the synchronous audio signal received by the jth node, α j is the weight coefficient; S842: Fusion processing is performed on the video signals received by multiple nodes to generate a high-quality joint video signal in, represents the synchronous video signal received by the jth node, β j is the weight coefficient.

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