Priority-based traffic broadcast switching method and device, equipment and storage medium

Abstract

According to the priority-based traffic broadcast switching method, device and equipment and the storage medium provided by the invention, by receiving and playing multiple paths of audio input signals and generating the emergency broadcast trigger signal when the rail transit operation state is abnormal, unified scheduling and control of multi-source audios are realized. Furthermore, according to the method, the emergency broadcast trigger signal is compared with the currently played audio signal through a priority judgment mechanism, and when the priority of the emergency broadcast trigger signal is higher, the low-priority audio is automatically interrupted and the emergency broadcast signal is preferentially played, so that the emergency information is ensured to be transmitted to the passenger at the first time, and the passenger safety is ensured. And delay or omission caused by other audio interferences can be avoided. The method provided by the invention not only improves the reliability and timeliness of emergency broadcast, but also realizes the dynamic management of the broadcast task through a priority mechanism, and gives consideration to the flexibility and practicability of the system while guaranteeing the safety.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of traffic broadcasting technology, and in particular to a traffic broadcast switching method and device based on priority, equipment and storage medium. BACKGROUND

[0002] As the core infrastructure of modern urban public transportation, the safety and emergency response capability of rail transit directly relates to the safety of passengers' life and property. In subway, light rail and other rail transit systems, multiple audio playback signal sources are usually configured, such as daily operation prompt broadcast, passenger guidance notification and background music, etc. In the event of fire, equipment failure or man-made incidents, emergency broadcast needs to be used to deliver emergency evacuation information to passengers in time. However, the existing broadcast system generally adopts a single priority control mechanism, lacks real-time judgment and switching capability for multiple audio signals, and is prone to delay, interruption or coverage of emergency broadcast, resulting in delayed emergency information transmission and affecting passenger safety. At the same time, although some systems can access the alarm signals of external disaster prevention systems, they lack internal intelligent detection mechanisms and are difficult to detect potential risk scenarios such as sharp noise and smoke in time, resulting in delayed response and high misjudgment rate.

[0003] In summary, the problems in the prior art need to be solved. SUMMARY

[0004] The present application provides a traffic broadcast switching method and device based on priority, equipment and storage medium, to solve the defects in the prior art and improve the reliability and timeliness of emergency broadcast.

[0005] The present application provides a traffic broadcast switching method based on priority, comprising: receiving and playing multiple audio input signals; generating an emergency broadcast trigger signal when the rail transit operating state appears abnormal state; determining the priority of the generated emergency broadcast trigger signal and the currently played audio input signal; when the priority of the emergency broadcast trigger signal is higher than that of the currently played audio input signal, generating and playing the corresponding emergency broadcast signal according to the emergency broadcast trigger signal.

[0006] According to the traffic broadcast switching method based on priority provided by the present application, the step of generating an emergency broadcast trigger signal when the rail transit operating state appears abnormal state specifically comprises: determining that the rail transit operating state appears abnormal state when receiving a first emergency signal from an external traffic disaster prevention system; When the abnormality recognition device deployed in the area to be detected detects an abnormality and generates a second emergency signal, it is determined that the rail transit operation state is in an abnormal state.

[0007] According to the priority-based traffic broadcast switching method provided by the application, when the abnormality recognition device deployed in the area to be detected detects an abnormality and generates a second emergency signal, it is determined that the rail transit operation state is in an abnormal state, and the step specifically comprises: The sound signal of the area to be detected is collected by an environmental noise sensor or a microphone array, and it is judged whether there is an abnormal sound source by using acoustic characteristics and pattern recognition algorithm; The image signal of the area to be detected is collected by a video monitoring camera, and it is analyzed whether there is an abnormal visual feature in the image by using a deep learning convolution network; According to the acoustic abnormality detection result and the visual abnormality detection result, if the preset abnormality condition is met, a second emergency signal is generated.

[0008] According to the priority-based traffic broadcast switching method provided by the application, the step of collecting the sound signal of the area to be detected by an environmental noise sensor or a microphone array, and judging whether there is an abnormal sound source by using acoustic characteristics and pattern recognition algorithm, specifically comprises: The sound signal is collected by a microphone array or an environmental noise sensor deployed in the area to be detected; The acoustic characteristics of the sound signal are extracted; The extracted acoustic characteristics are input into a pre-trained machine learning model for abnormal sound source recognition; When a sharp spectrum with a duration greater than a preset threshold is detected, it is determined to be an acoustic abnormality.

[0009] According to the priority-based traffic broadcast switching method provided by the application, the step of collecting the image signal of the area to be detected by a video monitoring camera, and analyzing whether there is an abnormal visual feature in the image by using a deep learning convolution network, specifically comprises: The image signal is collected by a camera deployed in the area to be detected; It is analyzed whether there is an abnormal visual feature in the image signal by a convolutional neural network; When abnormal visual features are detected in a plurality of consecutive frames within a preset time window, it is determined to be a visual abnormality.

[0010] According to the priority-based traffic broadcast switching method provided by the application, the emergency broadcast trigger signal contains position information and type information, and the step of generating and playing a corresponding emergency broadcast signal according to the emergency broadcast trigger signal specifically comprises: Based on the position information, a target broadcast terminal is determined according to a preset device mapping relationship; Based on the type information, corresponding emergency broadcast content is determined by matching in a preset broadcast library. Obtain the environmental noise detection data of the area where the target broadcast terminal is located, and determine the broadcast volume of the emergency broadcast. According to the emergency broadcast content and the broadcast volume, the target broadcast terminal broadcasts the emergency broadcast signal.

[0011] According to the traffic broadcast switching method based on priority provided by the application, after the step of generating and playing the corresponding emergency broadcast signal according to the emergency broadcast trigger signal, the method further comprises: After the emergency broadcast signal is broadcasted, the audio input channel that is cut off is connected through a delay control circuit after a preset delay, so as to restore the broadcast of the audio input signal.

[0012] The application also provides a traffic broadcast switching device based on priority, comprising: A signal receiving module is configured to receive and play multiple audio input signals. An emergency broadcast module is configured to generate an emergency broadcast trigger signal when the rail transit running state appears an abnormal state. A priority determination module is configured to determine the priority of the generated emergency broadcast trigger signal and the currently played audio input signal. A signal broadcast module is configured to generate and play a corresponding emergency broadcast signal according to the emergency broadcast trigger signal when the priority of the emergency broadcast trigger signal is higher than that of the currently played audio input signal.

[0013] The application also provides an electronic device, which comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the traffic broadcast switching method based on priority as described above when executing the program.

[0014] The application also provides a non-transitory computer readable storage medium, which stores a computer program executable by a processor to implement the traffic broadcast switching method based on priority as described above.

[0015] The application also provides a computer program product, which comprises a computer program executable by a processor to implement the traffic broadcast switching method based on priority as described above.

[0016] The application provides a priority-based traffic broadcast switching method, device, equipment and storage medium, which realizes unified scheduling and control of multi-source audio by receiving and playing multiple audio input signals and generating an emergency broadcast trigger signal when an abnormality occurs in the operation state of rail transit. Further, the method compares the emergency broadcast trigger signal with the currently played audio signal through a priority determination mechanism, and when the priority of the emergency broadcast trigger signal is higher, the low-priority audio is automatically interrupted and the emergency broadcast signal is preferentially played, so that the emergency information is delivered to passengers in the first time, and delay or omission caused by other audio interference is avoided. The method of the application not only improves the reliability and timeliness of emergency broadcast, but also realizes dynamic management of broadcast tasks through the priority mechanism, ensuring safety while taking into account the flexibility and practicality of the system. BRIEF DESCRIPTION OF DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the application or prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are some embodiments of the application, and other drawings can be obtained by those skilled in the art without creative labor.

[0018] Figure 1 is a flowchart of the priority-based traffic broadcast switching method provided by the application; Figure 2 is a structural schematic diagram of the priority-based traffic broadcast switching device provided by the application; Figure 3 is a structural schematic diagram of the electronic equipment provided by the application. DETAILED DESCRIPTION

[0019] In order to make the purpose, technical solutions and advantages of the application more clear, the technical solutions in the application will be described clearly and completely in combination with the drawings in the application. Obviously, the described embodiments are some embodiments of the application, not all embodiments. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor are within the protection scope of the application.

[0020] In order to solve the problems in the prior art, the application provides a priority-based traffic broadcast switching method to improve the reliability and timeliness of emergency broadcast. The priority-based traffic broadcast switching method will be described as follows, as shown in Figure 1 The method includes but is not limited to the following steps: Step 110, receiving and playing multiple audio input signals.

[0021] In step 110, the system receives and plays the multi-channel audio input signal. The audio input signal can include daily operation information broadcast, advertising audio, passenger prompt voice, and emergency instruction voice, etc. Specifically, the audio processing module of the system can receive audio streams from different signal sources in parallel, and process them in real time through decoding and mixing, and then push the final audio to the broadcast terminal in the station, waiting hall or car through the output module for playing, so as to ensure that complete travel information and service prompts can be provided for passengers under normal operation conditions.

[0022] In step 120, when the rail transit operation state appears an abnormal state, an emergency broadcast trigger signal is generated.

[0023] In step 120, when the rail transit operation state appears an abnormal state, an emergency broadcast trigger signal is generated. The determination of the abnormal state can be realized in two ways: one is that when the external traffic disaster prevention system sends an emergency signal to the system, the system directly determines that the current rail transit operation state is abnormal; the other is that when the abnormality recognition equipment (such as camera, smoke detector, flame detector, etc.) deployed in the station, waiting hall and car detects an abnormal situation, an emergency signal is automatically generated and sent to the system, thereby triggering the generation of the emergency broadcast trigger signal. Through the double signal source input mechanism, the reliability and safety of abnormal state detection can be effectively improved.

[0024] In step 130, the generated emergency broadcast trigger signal and the currently played audio input signal are prioritized.

[0025] In step 130, the generated emergency broadcast trigger signal and the currently played audio input signal are prioritized. The system sets the priority determination logic internally, in which the emergency broadcast trigger signal is given the highest priority, followed by the operation information broadcast, and finally the advertising audio and other non-core content. In the determination process, the system compares the currently playing audio through the priority scheduling module, and when it detects that the emergency broadcast trigger signal has a higher priority, it will interrupt the current audio playing process to leave a channel for the output of the subsequent emergency broadcast signal.

[0026] In step 140, when the priority of the emergency broadcast trigger signal is higher than that of the currently played audio input signal, the corresponding emergency broadcast signal is generated and played according to the emergency broadcast trigger signal.

[0027] In step 140, when the priority of the emergency broadcast trigger signal is higher than the currently played audio input signal, the system generates and plays a corresponding emergency broadcast signal according to the emergency broadcast trigger signal. Specifically, the software scheduling module first issues an interrupt instruction to the audio processing unit to stop the output of the low-priority audio stream and immediately load a preset emergency broadcast audio file or emergency information recorded in real time by the dispatcher; at the same time, the hardware fallback circuit is responsible for forcibly cutting off the low-priority audio signal channel in the case that the software fails to respond in time, to ensure that the emergency broadcast is played on all regional broadcast terminals in the first time. Through the dual mechanism of software scheduling and hardware fallback, the absolute priority of the emergency broadcast signal and the safety and reliability of the system in the event of an emergency are guaranteed.

[0028] As a further optional embodiment, the step of generating an emergency broadcast trigger signal when the rail transit operating state appears in an abnormal state specifically comprises: determining that the rail transit operating state appears in an abnormal state when receiving a first emergency signal from an external traffic disaster prevention system; determining that the rail transit operating state appears in an abnormal state when an abnormality recognition device deployed in the to-be-detected area detects an abnormality and generates a second emergency signal.

[0029] In this embodiment, the abnormality recognition device can include a camera, a smoke detector, a flame detector, or other environmental monitoring sensors, wherein the camera can cover the inside of the platform, the waiting hall, and the train carriage, and through a lightweight convolutional neural network (such as MobileNet, YOLOv5-lite), the collected images are analyzed in real time to identify whether there are abnormal visual features such as smoke and flame, and the time sequence analysis of consecutive frames is combined to exclude incidental noise or light and shadow interference, thereby improving the accuracy of the identification result. If an abnormal situation is identified, the camera generates a second emergency signal and reports it to the system, which makes a comprehensive judgment in combination with the above-mentioned first emergency signal, to realize redundant detection and linkage triggering of multiple abnormal signals.

[0030] As a further optional embodiment, the step of determining that the rail transit operating state appears in an abnormal state when an abnormality recognition device deployed in the to-be-detected area detects an abnormality and generates a second emergency signal specifically comprises: acquiring a sound signal of the to-be-detected area through an environmental noise sensor or a microphone array, and determining whether there is an abnormal sound source by using acoustic feature and pattern recognition algorithm; acquiring an image signal of the to-be-detected area through a video monitoring camera, and analyzing whether there is an abnormal visual feature in the image by using a deep learning convolutional network; judging according to the acoustic abnormality detection result and the visual abnormality detection result, and generating a second emergency signal if a preset abnormal condition is met.

[0031] In the embodiment, the acoustic detection can realize rapid identification of instantaneous high-energy sound sources, so as to capture abnormal information in time when an accident such as fire, explosion or collision occurs; the visual detection can provide supplementary verification on the state of the environment, for example, when the environmental noise is large, the abnormal situation can still be identified through image features. By fusing the acoustic and visual detection results, the misjudgment and missed judgment caused by a single detection method can be effectively reduced. For example, when a sharp acoustic spectrum with a duration greater than a preset threshold is detected, and smoke or flame features are detected in the video signal in the same time window, it is determined that an emergency abnormal event occurs, and a second emergency signal is generated immediately. Thus, the accuracy of abnormal event detection and the robustness of the system in the rail transit operating environment can be significantly improved, and the timeliness and reliability of the emergency broadcast triggering can be ensured.

[0032] As a further optional embodiment, the step of collecting a sound signal of the area to be detected by an environmental noise sensor or a microphone array, and determining whether an abnormal sound source exists by using an acoustic feature and a pattern recognition algorithm, specifically includes: collecting a sound signal by a microphone array or an environmental noise sensor deployed in the area to be detected; extracting acoustic features of the sound signal; inputting the extracted acoustic features into a pre-trained machine learning model for abnormal sound source recognition; when a sharp spectrum with a duration greater than a preset threshold is detected, it is determined that an acoustic abnormality occurs.

[0033] In the embodiment, a sound signal is collected by a microphone array or an environmental noise sensor deployed in the area to be detected; the sound signal is preprocessed, including background noise filtering, signal enhancement and feature framing; acoustic features of the sound signal are extracted, which can include Mel-frequency cepstral coefficients (MFCC), spectral centroid, short-time energy, zero-crossing rate, etc.; the extracted acoustic features are input into a pre-trained machine learning model for abnormal sound source recognition, which can use support vector machines (SVM), random forests, convolutional neural networks (CNN) or long short-term memory networks (LSTM), etc.; when a sharp spectrum with a duration greater than a preset threshold or other typical abnormal patterns is detected, it is determined that an acoustic abnormality occurs, and a corresponding acoustic abnormality detection result is generated.

[0034] The microphone array can suppress environmental background noise through beamforming technology, improve the signal-to-noise ratio of abnormal sound sources, and thus improve the recognition accuracy; by combining time domain features and frequency domain features, normal operation sounds (such as train station broadcast, passenger conversation) and abnormal sound sources (such as explosion sound, glass breaking sound, scream) can be better distinguished; and by setting a duration threshold, false positives caused by single instantaneous sharp sound can be avoided, thereby ensuring the stability and robustness of acoustic anomaly detection.

[0035] As a further optional embodiment, the step of collecting image signals of the to-be-detected area through a video monitoring camera and analyzing whether there is an abnormal visual feature in the image using a deep learning convolutional network specifically includes: collecting image signals through a camera deployed in the to-be-detected area; analyzing whether there is an abnormal visual feature in the image signal through a convolutional neural network; when abnormal visual features are detected in multiple consecutive frames within a preset time window, determining a visual anomaly.

[0036] In this embodiment, the camera deployed in the to-be-detected area collects image signals, and the collected video stream is preprocessed, including image denoising, brightness normalization, and key frame extraction; the preprocessed image signal is input into a convolutional neural network for feature extraction and classification to determine whether there are abnormal visual features such as smoke, flames, abnormal crowd gathering, and personnel running in the image signal; when abnormal visual features are detected in multiple consecutive frames within a preset time window, the system determines a visual anomaly and generates a corresponding visual anomaly detection result.

[0037] Specifically, the camera can be deployed inside the platform, waiting room, and train compartment to cover the key operating areas of rail transit, thereby achieving full-scene monitoring; the convolutional neural network can adopt a lightweight structure (such as MobileNet, YOLOv5-lite) to run in real time on an edge computing device, improving detection efficiency; through time sequence analysis of consecutive frames, false positives caused by occasional light and shadow, passenger handheld lighters, or electronic screen light can be effectively excluded, thereby ensuring the accuracy and robustness of the visual anomaly detection result.

[0038] As a further optional embodiment, the emergency broadcast trigger signal contains position information and type information, and the step of generating and playing corresponding emergency broadcast signals according to the emergency broadcast trigger signal specifically includes: determining a target broadcast terminal according to a preset device mapping relationship based on the position information; determining corresponding emergency broadcast content by matching a preset broadcast library based on the type information; Acquire environmental noise detection data of the area where the target broadcast terminal is located, and determine the broadcast volume of the emergency broadcast; According to the emergency broadcast content and the broadcast volume, broadcast the emergency broadcast signal at the target broadcast terminal.

[0039] In the embodiment, the position information can include platform number, waiting hall area number or train carriage number, the system can quickly locate the specific position of the abnormal event through the position information, and only the broadcast terminal in the related area plays the emergency broadcast, thereby avoiding unnecessary interference to passengers in other areas; the type information can include fire, explosion, violent event or equipment failure, etc., the system can retrieve the standardized emergency broadcast content matched with the type information in the corresponding broadcast library, realize quick calling, and avoid delay of artificial temporary recording; the environmental noise detection data can be collected in real time by the noise sensor deployed in the target area, the system automatically adjusts the broadcast volume of the emergency broadcast according to the noise intensity, ensures that passengers can clearly hear the emergency information in a high noise environment, and avoids excessive interference in a low noise environment. Through the above mechanism, the emergency broadcast can not only realize quick triggering, but also realize regionalization, typing and self-adaptive volume control, thereby improving the timeliness and effectiveness of emergency information transmission.

[0040] As a further optional embodiment, after the step of generating and playing the corresponding emergency broadcast signal according to the emergency broadcast trigger signal, the method further comprises: After the emergency broadcast signal is broadcasted, the audio input channel that is cut off is connected through the delay control circuit after a preset delay to restore the broadcast of the audio input signal.

[0041] In the embodiment, the delay control circuit can be implemented by a timing relay, a capacitor delay circuit or a single-chip microcomputer timing control module, and the delay threshold value thereof can be dynamically configured according to different types of emergency events. For example, for high-risk events such as fire and explosion, a longer delay can be set to ensure that passengers completely receive and understand the emergency information; and for general equipment failure prompts, a shorter delay can be set to quickly restore normal broadcast content. Through the delay recovery mechanism, information coverage or omission caused by switching to ordinary audio playing immediately after the emergency broadcast is broadcasted can be avoided, and the connection between the emergency broadcast and the normal broadcast is smooth and orderly, thereby improving the reliability and user experience of the whole system.

[0042] The priority-based traffic broadcast switching device provided by the application is described below, as shown in Figure 2 The priority-based traffic broadcast switching device described below can be referred to in correspondence with the priority-based traffic broadcast switching method described above.

[0043] A priority-based traffic broadcast switching device includes: Signal receiving module 210 is used to receive and play multiple audio input signals; Emergency broadcast module 220 is used to generate an emergency broadcast trigger signal when an abnormal state occurs in the operation of the rail transit. The priority determination module 230 is used to determine the priority of the generated emergency broadcast trigger signal and the currently playing audio input signal; The signal broadcasting module 240 is used to generate and play a corresponding emergency broadcast signal when the priority of the emergency broadcast trigger signal is higher than that of the currently playing audio input signal.

[0044] Figure 3 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 3 As shown, the electronic device may include: a processor 310, a communications interface 320, a memory 330, and a communication bus 340, wherein the processor 310, the communications interface 320, and the memory 330 communicate with each other via the communication bus 340. The processor 310 can call logical instructions in the memory 330 to execute a priority-based traffic broadcast switching method, which includes: Receive and play multiple audio input signals; When an abnormal state occurs in the operation of the rail transit system, an emergency broadcast trigger signal is generated. Prioritize the generated emergency broadcast trigger signal with the currently playing audio input signal; When the priority of the emergency broadcast trigger signal is higher than that of the currently playing audio input signal, the corresponding emergency broadcast signal is generated and played according to the emergency broadcast trigger signal.

[0045] Furthermore, the logical instructions in the aforementioned memory 330 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, essentially, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0046] On the other hand, the present invention also provides a computer program product, the computer program product comprising a computer program that can be stored on a non-transitory computer-readable storage medium, wherein when the computer program is executed by a processor, the computer is able to execute the priority-based traffic broadcast switching method provided by the above methods, the method comprising: Receive and play multiple audio input signals; When an abnormal state occurs in the operation of the rail transit system, an emergency broadcast trigger signal is generated. Prioritize the generated emergency broadcast trigger signal with the currently playing audio input signal; When the priority of the emergency broadcast trigger signal is higher than that of the currently playing audio input signal, the corresponding emergency broadcast signal is generated and played according to the emergency broadcast trigger signal.

[0047] In another aspect, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to perform the priority-based traffic broadcast switching method provided by the methods described above, the method comprising: Receive and play multiple audio input signals; When an abnormal state occurs in the operation of the rail transit system, an emergency broadcast trigger signal is generated. Prioritize the generated emergency broadcast trigger signal with the currently playing audio input signal; When the priority of the emergency broadcast trigger signal is higher than that of the currently playing audio input signal, the corresponding emergency broadcast signal is generated and played according to the emergency broadcast trigger signal.

[0048] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0049] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0050] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A priority-based traffic broadcast switching method, characterized in that, include: Receive and play multiple audio input signals; When an abnormal state occurs in the operation of the rail transit system, an emergency broadcast trigger signal is generated. Prioritize the generated emergency broadcast trigger signal with the currently playing audio input signal; When the priority of the emergency broadcast trigger signal is higher than that of the currently playing audio input signal, the corresponding emergency broadcast signal is generated and played according to the emergency broadcast trigger signal.

2. The priority-based traffic broadcast switching method according to claim 1, characterized in that, The step of generating an emergency broadcast trigger signal when an abnormal state occurs in the rail transit operation specifically includes: When the first emergency signal is received from the external transportation disaster prevention system, it is determined that the rail transit operation status has become abnormal. When the anomaly identification device deployed in the area to be detected detects an anomaly and generates a second emergency signal, it is determined that the rail transit operation is in an abnormal state.

3. The priority-based traffic broadcast switching method according to claim 2, characterized in that, The step of determining that the rail transit operation is in an abnormal state when the anomaly identification device deployed in the detection area detects an anomaly and generates a second emergency signal specifically includes: The sound signal of the area to be detected is collected by an environmental noise sensor or microphone array, and the acoustic features and pattern recognition algorithms are used to determine whether there is an abnormal sound source. The system collects image signals of the area to be detected using a video surveillance camera and uses a deep learning convolutional network to analyze whether there are abnormal visual features in the image. The judgment is made based on the acoustic anomaly detection results and the visual anomaly detection results. If the preset anomaly conditions are met, a second emergency signal is generated.

4. The priority-based traffic broadcast switching method according to claim 3, characterized in that, The step of acquiring sound signals from the area to be detected using an environmental noise sensor or microphone array, and determining the presence of abnormal sound sources using acoustic features and pattern recognition algorithms, specifically includes: Sound signals are collected by a microphone array or an ambient noise sensor deployed in the area to be detected; Extract the acoustic features of the sound signal; The extracted acoustic features are input into a pre-trained machine learning model for abnormal sound source identification. When a sharp spectrum with a duration greater than a preset threshold is detected, it is determined to be an acoustic anomaly.

5. The priority-based traffic broadcast switching method according to claim 3, characterized in that, The step of acquiring image signals of the area to be detected through a video surveillance camera and analyzing whether there are abnormal visual features in the image using a deep learning convolutional network specifically includes: Image signals are acquired by cameras deployed in the area to be detected; The image signal is analyzed using a convolutional neural network to determine whether there are any abnormal visual features. When abnormal visual features are detected in multiple consecutive frames within a preset time window, it is determined to be a visual abnormality.

6. The priority-based traffic broadcast switching method according to claim 1, characterized in that, The emergency broadcast trigger signal includes location information and type information. The step of generating and playing the corresponding emergency broadcast signal based on the emergency broadcast trigger signal specifically includes: Based on the location information, the target broadcast terminal is determined according to the preset device mapping relationship; Based on the type information, a match is made in a preset broadcast word library to determine the corresponding emergency broadcast content; Obtain environmental noise detection data of the area where the target broadcast terminal is located, and determine the broadcast volume of the emergency broadcast; The emergency broadcast signal is broadcast on the target broadcast terminal according to the emergency broadcast content and the broadcast volume.

7. The priority-based traffic broadcast switching method according to claim 6, characterized in that, After the step of generating and playing the corresponding emergency broadcast signal based on the emergency broadcast trigger signal, the method further includes: After the emergency broadcast signal is completed, the cut-off audio input channel is turned on after a preset delay by a delay control circuit to restore the broadcast of the audio input signal.

8. A priority-based traffic broadcast switching device, characterized in that, include: The signal receiving module is used to receive and play multiple audio input signals; The emergency broadcast module is used to generate an emergency broadcast trigger signal when an abnormal state occurs in the operation of the rail transit system. The priority determination module is used to determine the priority of the generated emergency broadcast trigger signal and the currently playing audio input signal; The signal broadcasting module is used to generate and play a corresponding emergency broadcast signal when the priority of the emergency broadcast trigger signal is higher than that of the currently playing audio input signal.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the priority-based traffic broadcast switching method as described in any one of claims 1 to 7.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the priority-based traffic broadcast switching method as described in any one of claims 1 to 7.

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