Precise monitoring system for bad content of broadcast audio signal

Abstract

The invention provides an accurate monitoring system for bad content of a broadcast audio signal, and belongs to the technical field of electronic information. The system can accurately detect and position the voice content which may cause adverse effects on the society and exists in the air broadcast audio signal in real time, and prevents the voice content from being spread and influenced, so that the content quality of the air broadcast signal is guaranteed. On the basis of a fixed audio index technology, whether broadcast signals of a specific frequency band are interfered by other signals or not is automatically monitored, an alarm is given out when it is monitored that target broadcast is interfered, and interference signals are visualized through an artificial intelligence engine. According to the invention, a mode of'multi-device monitoring + one-platform management 'of broadcast signal supervision is realized, and an autonomous monitoring mode based on'cloud + artificial intelligence' is also provided, so that broadcast signal supervision is more intelligent. According to the invention, the problem of low intelligent degree in the aspect of current broadcast signal supervision can be effectively solved, the supervision efficiency is improved, and the legality, normalization and health of broadcast signal content are guaranteed.

Description

Technical Field

[0001] The present invention belongs to the field of electronic information technology, and in particular relates to a precise monitoring system for bad content of broadcast audio signals. Background Art

[0002] The precise monitoring technology for bad content in broadcast audio signals refers to the capture and analysis of over-the-air broadcast audio signals to accurately warn, identify and visualize the interference content contained in the collected audio signals. The precise monitoring technology for bad content in broadcast audio signals provided by the present invention is mainly used to solve the problem that the broadcast signals transmitted by normal broadcast base stations on specific channels are interfered with by illegal base stations, so that the original normal broadcast signals contain interfered signal segments or signal segments containing malicious content information, which makes it impossible for the broadcast receiver to receive the original normal broadcast signal, but receives a broadcast signal containing interference or bad signals. This system monitors over-the-air broadcasts in real time, accurately locates the specific location of broadcast audio segments interfered by illegal broadcast base stations, and identifies and visualizes the interference content contained therein.

[0003] Protecting the normal operation of media organizations such as radio stations and broadcasting stations and timely and accurately monitoring and detecting harmful interference content of broadcast audio signals are of great significance to radio safety management and control.

[0004] In order to accurately monitor the negative content of airborne broadcast signals, the state and local governments have introduced a series of laws and regulations to continuously increase the monitoring and control of behaviors that interfere with normal radio communications. However, current monitoring technology cannot monitor the negative content of broadcast signals under the above circumstances. Therefore, it is difficult to monitor and detect the negative content of broadcast signals efficiently and accurately. Summary of the invention

[0005] The present invention provides a precise monitoring system for bad content of air broadcast audio signals. The system uses a broadcast signal receiving antenna, receives broadcast signals through a signal receiving and demodulation module, and stores the demodulated signals in a file system and a database. By analyzing and processing the stored broadcast signals, the system can realize accurate monitoring and identification of broadcast content. At the same time, the system uses a deep intelligent noise reduction algorithm to reduce the noise of the broadcast signal to improve the clarity of the audio, and performs real-time monitoring and early warning based on a fixed audio index algorithm. The system can detect and filter out bad content signals transmitted by illegal interference base stations on normal channels. In addition, the system uses a deep learning framework to perform language recognition, voice recognition, and machine translation inference model inference visualization on the voice content in the monitored bad signals, and recognizes its language and voice text content. For broadcasts in non-target languages, the system can also perform translation conversion to assist regulatory agencies in manually reviewing and verifying the content of such signals, so as to realize precise control of broadcast content. Therefore, the present invention can solve the problem of low degree of autonomous intelligent monitoring in the current monitoring and control of bad content in broadcast audio signals.

[0006] The invention provides a precise monitoring system for bad content in broadcast audio signals, which mainly includes: a real-time acquisition and demodulation module for broadcast signals; a broadcast audio storage module; an automatic and precise monitoring module for broadcast signals; a real-time monitoring module for broadcast audio; a bad content monitoring and alarm module; a bad content signal positioning module; a precise retesting module for bad content, a mobile real-time and precise monitoring device for bad content in broadcast audio signals, and a multi-location integrated monitoring mode.

[0007] The broadcast signal real-time acquisition and demodulation module mainly includes the following modules:

[0008] Broadcast signal receiving antenna. Used to receive broadcast audio signals;

[0009] Signal detection and demodulation unit. The signal detection unit is used to detect broadcast signals in the target area, collect broadcast signals in the target airspace in real time, and receive modulated broadcast signals of a specified frequency or a specified frequency range based on a broadcast signal receiving antenna in the target area; the signal demodulation unit is used to demodulate the received modulated broadcast signals into digital signals through the demodulation unit to facilitate signal processing.

[0010] The broadcast audio storage module is used to pre-store legal broadcast audio data and store broadcast signals collected in the target monitoring area in real time.

[0011] The automatic and accurate broadcast signal monitoring module mainly includes the following aspects:

[0012] Real-time and accurate monitoring of signals in different bands. It includes a band selection unit that automatically monitors broadcast signals using AM or FM modulation, and selects the band for broadcast signal monitoring according to the modulation method of the signal to be monitored;

[0013] Real-time and accurate monitoring of signals with different scanning modes. Including a scanning mode selection unit for automatically monitoring broadcast signals of specified frequencies or scanning and monitoring broadcast signals in specified intervals with specified step lengths. Automatic monitoring of broadcast signals of specified frequencies means only collecting and monitoring broadcast signals of specified frequencies; automatic monitoring of broadcast signals in specified intervals with specified step lengths means sampling and real-time monitoring of signals in a polling or random manner within the set frequency interval according to the set scanning step length;

[0014] Real-time and accurate monitoring of multi-channel broadcast signals. Collect and monitor multi-channel broadcast signals according to the number of real-time broadcast signal acquisition and demodulation modules accessing the control platform;

[0015] Signal acquisition and precise monitoring in different automatic monitoring modes. It includes automatic monitoring of broadcast signals in three modes: acquisition only, detection only, and acquisition and monitoring. The acquisition only mode refers to the use of the signal real-time acquisition and demodulation module to perform real-time acquisition of broadcast signals, and the acquired broadcast signals are stored in the broadcast audio storage module; the detection only mode refers to extracting the broadcast to be detected stored in the broadcast audio storage module for precise detection of bad content; the acquisition and monitoring mode refers to the use of the signal real-time acquisition and demodulation module to perform real-time acquisition of broadcast signals and store them in the broadcast audio storage module, while performing precise detection of bad content on the acquired broadcasts in real time.

[0016] The broadcast audio real-time monitoring module refers to real-time monitoring of the broadcast audio collected in real time through audio signal output devices such as speakers.

[0017] The module for locating the signal of inappropriate content refers to performing real-time audio fingerprint matching between the broadcast audio collected in real time and the legal audio in the audio library based on a fixed audio index algorithm, and locating the position, audio band and frequency containing inappropriate content in the real-time collected audio, wherein the audio fingerprint refers to a feature vector extracted based on the target audio and used to characterize the audio segment.

[0018] The bad content monitoring and warning module refers to the abnormal alarm issued by the alarm device for the broadcast signal with abnormal monitoring results. The alarm device refers to a speaker or a display; the abnormal alarm refers to the alarm sound or alarm text issued by the alarm device.

[0019] The module for accurate re-inspection of inappropriate content refers to a module for first performing language recognition detection on a broadcast signal containing inappropriate content that is detected as abnormal by the automatic accurate monitoring module, and then performing broadcast signal voice recognition using a corresponding broadcast signal content voice recognition engine based on the language detection result to obtain the text content of the broadcast signal containing inappropriate content. For broadcast signals in non-target languages, a translation engine is used to translate and convert the text content of the broadcast signal into text content in the target language, and the content of the broadcast signal containing inappropriate content is visualized to assist manual re-inspection of the inappropriate content that appears in the automatic monitoring.

[0020] The mobile broadcast audio signal real-time and accurate monitoring device for inappropriate content is used to collect and monitor signals in real time at indoor and outdoor broadcast signal monitoring locations. When inappropriate content is contained, the device can detect and determine the band, frequency, and positioning information of the signal containing the inappropriate content in legal audio, as well as the converted text content.

[0021] The precise monitoring system for bad content in broadcast audio signals provided by the present invention is the first proposed system for real-time monitoring, precise detection, bad content warning, and visualization of bad content in broadcast signals; the movable real-time precise monitoring device provided by the present invention is the first proposed movable device for precise monitoring of the bad content.

[0022] The equipment and system provided by the present invention are combined to realize the "multi-point integrated" supervision mode of "multi-device monitoring + one platform management"; at the same time, based on the "cloud + artificial intelligence" technology, it realizes the "multi-location collaborative unmanned autonomous monitoring mode", and realizes the "cloud" control of multi-location equipment for monitoring multi-channel signal autonomous monitoring mode, which greatly reduces the manpower and material resources invested in broadcast content supervision, and greatly improves the supervision efficiency.

[0023] The following is a detailed description of the key technologies of the present invention in conjunction with the accompanying drawings, through which the characteristics, advantages and purposes of the present invention can be more intuitively and deeply understood. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The drawings are only used for the purpose of illustrating the embodiments of the present invention and are not to be considered as limiting the present invention.

[0025] Figure 1 This is a diagram describing the overall architecture of the system for accurately monitoring bad content in broadcast audio signals of the present invention;

[0026] Figure 2 This is a technical selection diagram of the signal acquisition, storage and monitoring server of the present invention;

[0027] Figure 3Description of the components of the mobile monitoring device provided by the present invention;

[0028] Figure 4 This is a functional module diagram of the control platform of the broadcast audio signal bad content accurate monitoring system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0029] The following examples further describe the implementation methods, key details and key technologies used in the present invention. The following examples are only used to more clearly describe the technical solutions and feasibility of the present invention, and are not intended to limit the scope of protection of the present invention.

[0030] Figure 1 This is a diagram describing the overall architecture of the accurate monitoring system for bad content in broadcast audio signals according to the present invention. It mainly includes:

[0031] Normal broadcast radiation base station 14. The normal broadcast transmission base station is a device used by a radio and television bureau or other legal broadcast transmission base stations to transmit normal broadcast signals.

[0032] Normal broadcast signal 15. The normal broadcast signal is a modulated broadcast signal containing legal content transmitted by the normal broadcast transmission base station. Theoretically, the normal broadcast signal does not contain any bad content.

[0033] Unhealthy content broadcast signal interference device 16. The unhealthy content broadcast signal interference device is an illegal device that interferes with normal broadcast signals, thereby transmitting unhealthy content broadcast signals.

[0034] Unhealthy content interference signal 17. The unhealthy content interference signal is a broadcast signal containing unhealthy content and sent by a broadcast interference device.

[0035] The accurate monitoring system for bad content of broadcast audio signals 10 is the core part of the process of broadcast signal collection and accurate monitoring, mainly including:

[0036] Signal receiving antenna 11. The signal receiving antenna is used to receive over-the-air modulated broadcast signals. Signal acquisition and reception are controlled based on the GNURadio module to acquire, demodulate and store signals. The GNURadio module is an open source software toolkit for developing software defined radio (SDR) applications, enabling users to design, simulate and deploy radio systems based on pre-built signal processing modules and custom modules created using the Python programming language to build radio applications such as signal generation, modulation, demodulation, decoding, filtering, and spectrum analysis.

[0037] Signal collection, storage and monitoring server 12. The signal collection, storage and monitoring server includes: control signal collection, collection signal storage, real-time and accurate signal monitoring, real-time broadcast monitoring, harmful content identification based on artificial intelligence model reasoning, harmful content warning, and human-computer interaction.

[0038] The control signal acquisition is performed through the Python-based Django framework, where Django is an open source Web application framework written in Python. It provides a set of powerful and complete tools and libraries to help developers quickly build efficient and scalable Web applications. Signal acquisition is performed by controlling the GNURadio module through Python's subprocess module, where the subprocess module provides a convenient interface to create and control subprocesses, allowing external commands to be executed in Python programs. Signal acquisition can be based on multi-channel signal acquisition, single-channel signal acquisition, timing acquisition, specified frequency, frequency band according to frequency step, etc.

[0039] The collected signal storage is to demodulate the collected modulated broadcast signal, store the demodulated signal in the file system, use a random sequence code as the file name when storing, and establish detailed information of the broadcast signal with the file name as the primary key in the MySQL database, including but not limited to the collection time, band, frequency, duration, format, digital signal sampling rate and other information, wherein MySQL is an open source relational database management system, is one of the most popular and widely used databases, and provides reliable, high-performance, scalable and easy-to-use functions.

[0040] The signal is monitored accurately in real time. First, the user establishes a Socket service connection between the accurate monitoring control panel and the acquisition control module. The Socket service is implemented using the WebSocket communication protocol. The WebSocket communication protocol provides the ability to conduct two-way communication in Web applications, allowing the server to actively push data to the client, and also allowing the client to send data to the server, achieving real-time and two-way communication, and avoiding unnecessary delays and overhead. After the connection is established, the user selects the band to be detected, which includes amplitude modulation (AM) and frequency modulation (FM). Then the user selects the signal scanning method, which includes scanning at a specified frequency and a specified interval according to a specified step length. At the same time, real-time and accurate monitoring of multi-channel broadcast signals is performed under the optional multi-channel broadcast signal monitoring conditions. Finally, the user selects signal acquisition and accurate monitoring under different automatic monitoring modes, which includes three optional modes: acquisition only, detection only, and acquisition and monitoring. Real-time and accurate monitoring uses the Socket service to transmit back the broadcast signal information currently collected by the system in real time. Users can use the real-time audio monitoring function to collect and monitor audio in real time. Real-time monitoring is presented in a dynamic and visual way. It is mainly based on Python's threading module to establish threads for real-time transmission and display of monitoring audio information. The threading module provides an advanced thread programming interface for creating and managing threads, allowing multi-threaded concurrent execution in Python programs. Real-time and accurate signal monitoring is based on an audio indexing algorithm, which detects whether the received broadcast signal has been interfered with or tampered with by comparing the audio fingerprints of the audio in the legitimate broadcast audio library and the real-time collected broadcast audio.

[0041] The real-time broadcast monitoring module monitors the broadcast audio collected in real time and outputs the audio signal through the speaker.

[0042] The harmful content identification based on artificial intelligence model reasoning is mainly to access the artificial intelligence reasoning model. The accessible models include speech noise reduction model, language recognition model, speech recognition model, and machine translation model. Among them, the speech noise reduction model interface realizes the access of speech noise reduction model to reduce the noise of the collected broadcast signal; the language recognition model interface realizes the access of language recognition model to identify the language information of the collected audio; the speech recognition model interface realizes the access of speech recognition model to perform speech recognition on the collected audio; the machine translation model interface realizes the access of machine translation model, and for broadcasts containing bad content, on the basis of speech recognition, the speech recognition results are translated into the content of the specified target language.

[0043] The harmful content warning module issues a warning prompt for a broadcast that may contain harmful content, which is achieved by sending a warning sound through a speaker or sending a warning text prompt through a display.

[0044] The human-computer interaction is the core part of the interaction between the user and the system. The human-computer interaction interface is mainly implemented based on Vue, the interface is developed through the Element UI module, and data visualization interaction is performed through ECharts. Vue is an open source front-end framework for building interactive user interfaces, focusing on the view layer, using a componentized approach to build reusable UI components, and has the characteristics of responsive data binding and concise syntax; Element UI is an open source UI component library based on Vue for building user interfaces. It provides a set of beautiful, customizable and easy-to-use UI components that can quickly build interactive and friendly Web applications; ECharts is an open source data visualization library for creating rich, interactive charts and data visualization effects, providing a variety of types of charts and rich interactive functions.

[0045] Display 13. The display is a terminal device for system control, data visualization, and human-computer interaction, wherein the display may include a mobile terminal display, a PC terminal display, and the like.

[0046] Figure 2 Yes Figure 1 Description of the data collection, storage and monitoring server architecture functions and technology selection, mainly describing the front-end and back-end development architecture selection and other key technology selection in the server, mainly including:

[0047] System architecture selection 21. The system architecture is based on the B / S development model, and its advantages include: cross-platform and cross-device operating system monitoring of harmful content, simplified deployment and maintenance, high scalability, unified user interface, networked collaboration and data sharing, multi-user simultaneous access and sharing of data, and convenient updates and upgrades.

[0048] Front-end technology selection 22. Front-end development is based on the Vue framework, data visualization is based on the ECharts framework, and user interaction is designed and implemented based on Element UI.

[0049] Backend technology selection 23. Backend development is based on Python, using the Django framework for development, and interface design is based on the RESTful protocol. The RESTful protocol is an architectural style for designing and building network applications, based on the HTTP protocol, providing a set of specifications and constraints that enable Web services to communicate in a concise, scalable, and easy-to-understand manner.

[0050] Database technology selection 24. The database is based on MySQL database.

[0051] Algorithm embedding selection 25. Algorithm embedding is based on PyTorch and Tensorflow deep learning engines. PyTorch is an open source deep learning framework that uses a dynamic computational graph to build and define computational graphs at runtime. It provides a wealth of tools and libraries for building and training various types of neural network models. Tensorflow uses a static computational graph, which first defines the computational graph and then executes the operations in the computational graph. It supports the construction and training of various complex neural network models. It has distributed computing capabilities, can perform parallel computing on multiple devices and computing resources, and also supports the deployment of mobile and embedded devices.

[0052] Deployment protocol selection 26. The front-end and back-end deployment of the server is implemented through Nginx, which is a high-performance open source Web server and reverse proxy server with the characteristics of high performance, lightweight, scalable, highly customizable, reverse proxy and load balancing functions.

[0053] Figure 3 The mobile monitoring device 30 is described as follows:

[0054] Signal acquisition and demodulation module 31. The signal acquisition and demodulation module demodulates the modulated broadcast signal received by the signal receiver into a digital signal through a modem.

[0055] Data business module 32. The data business module is mainly composed of the front-end and the back-end. The front-end is mainly based on Vue for data and business visualization, and the back-end is mainly based on Django for data, business processing and AI model reasoning. The front-end is deployed on the Web server, and the back-end is deployed on the signal acquisition and data processing, model reasoning server.

[0056] Data storage module 33. The data storage module is mainly used for data access, including data access in two parts: database and file system.

[0057] Human-machine interaction interface 34. The human-machine interaction interface enables the device user to operate the device to perform system control, monitoring, monitoring and other operations.

[0058] Figure 4 This is a description of the functional modules of the control platform of the accurate monitoring system for bad content of broadcast audio signals. It mainly includes:

[0059] Automatic monitoring module. The automatic monitoring module mainly includes real-time data collection visualization, real-time broadcast content detection visualization, automatic monitoring configuration, and monitoring process management. The real-time monitoring visualization mainly displays the real-time feedback of the detection results of the collected broadcast audio based on the fixed audio index algorithm.

[0060] Manual recheck module. The manual recheck module mainly includes abnormal audio visualization, audio index abnormal audio recheck, manual recheck configuration, AI model reasoning, and manual recheck annotation. The AI ​​reasoning model mainly includes audio intelligent noise reduction, language recognition, speech recognition, and machine translation AI model reasoning interface.

[0061] Visual statistics. Mainly based on ECharts to realize real-time monitoring data visualization chart display and real-time data statistics display.

[0062] Audio management. Including audio library management and audio collection management. Audio library management includes audio library audio upload and audio library and file management. The audio library is used to store and manage normal broadcast audio; audio collection management is the management of real-time collected broadcast audio.

[0063] Finally, it should be noted that the above embodiments are only used to illustrate the key parts of the implementation process and technical aspects, and are not used to limit the present invention. The protection scope of the present invention is defined by the claims. Although the above embodiments describe the present invention in detail, a person skilled in the art should understand that within the spirit and principle of the present invention, various modifications or equivalent substitutions are made to the present invention, and such modifications or equivalent substitutions should also be deemed to fall within the protection scope of the present invention.

Claims

1. A system for accurately monitoring bad content in broadcast audio signals, characterized in that: The system realizes real-time and accurate monitoring of broadcast signals and accurate detection of objectionable content, including: 1.1) Broadcast signal real-time acquisition and demodulation module; 1.2) Broadcast audio storage module; 1.3) Automatic and accurate monitoring module for broadcast signals; 1.4) Broadcast audio real-time monitoring module; 1.5) Bad content monitoring and alarm module; 1.6) Bad content signal location module; 1.7) Module for accurate retesting of harmful content; 1.8) A mobile broadcast audio signal real-time and accurate monitoring device for bad content; 1.9) Multi-location integrated monitoring model.

2. The broadcast signal real-time acquisition and demodulation module according to claim 1, characterized in that: 2.1) a broadcast signal receiving antenna, wherein the broadcast signal receiving antenna is configured to receive broadcast audio signals; 2.2) A signal detection and demodulation unit, wherein the signal detection unit is configured to detect broadcast signals within the target area, collect broadcast signals within the target airspace in real time, and at least one broadcast signal receiving antenna set within the target area receives a modulated signal of a specified frequency or a specified frequency range within the target area; and the demodulation unit is configured to demodulate the received modulated signal into a digital signal through the demodulation unit.

3. The broadcast audio storage module according to claim 1, wherein: 3.1) Pre-store legal broadcast audio data; 3.2) The demodulated digital broadcast signals collected in the target area are stored in real time.

4. The broadcast automatic and accurate monitoring module according to claim 1 is characterized in that: 4.1) Real-time and accurate monitoring of signals in different bands; 4.2) Real-time and accurate monitoring of signals in different scanning modes; 4.3) Real-time and accurate monitoring of multi-channel broadcast signals; 4.4) Signal acquisition and precise monitoring in different automatic monitoring modes.

5. The broadcast audio real-time monitoring module according to claim 1 is characterized in that: The broadcast audio collected in real time is monitored in real time, and the real-time monitoring is configured to output a monitoring signal through a speaker.

6. The inappropriate content monitoring and warning module according to claim 1 is characterized in that: For broadcast signals with abnormal monitoring results, an abnormal alarm prompt is issued through an alarm device, the alarm device is configured as a speaker or a display, and the abnormal alarm prompt is configured as an alarm sound or alarm text issued by the alarm device.

7. The inappropriate content signal locating module according to claim 1, characterized in that: Based on the fixed audio index algorithm, real-time audio fingerprint matching is performed between the real-time collected audio and the legitimate audio in the audio library, and the position, audio band and frequency of the bad content in the collected audio are located in real time.

8. The module for accurate review of objectionable content according to claim 1, characterized in that: For the broadcast signal containing inappropriate content detected as abnormal by the automatic and accurate monitoring module of claim 1, the processing flow is as follows: 8.1) Firstly, the language identification detection is performed on the broadcast signal containing the inappropriate content; 8.2) Based on the language detection result, use the corresponding language speech recognition engine to perform speech recognition of the broadcast signal to obtain the text content of the broadcast signal with inappropriate content; 8.3) For broadcast signals in non-target languages, use a translation engine to translate the text content of the broadcast signals into text content in the target language; 8.4) Visually display the content of the broadcast signal of inappropriate content to assist manual review of the inappropriate content that appears in the automatic monitoring.

9. The mobile broadcast audio signal real-time accurate monitoring device for bad content according to claim 1, characterized in that: 9.1) Carry out real-time monitoring, collection and storage of broadcast signals at the determined broadcast signal monitoring location; 9.2) Conduct content detection on the audio collected by monitoring to check whether it contains any inappropriate content, and issue warnings, identify and visualize any inappropriate content; 9.3) Determine the band and frequency of the objectionable content signal and the location where the objectionable content appears.

10. The multi-location integrated monitoring mode according to claim 1, characterized in that ： 10.1) Through the control platform in the precise monitoring system of claim 1, the precise monitoring equipment of claim 1 is controlled by control technology to collect broadcast signals; 10.2) The control technology is configured in two modes: through the local area network, the control platform controls one or more devices in the local area network to collect and monitor signals; through the Internet, the control platform remotely controls one or more devices through the Internet to collect and monitor signals; 10.3) The control platform controls one or more devices at the same location at the same time, and collects and monitors signals at the same location; 10.4) The control platform controls one or more devices at different locations simultaneously, and collects and monitors signals from multiple locations simultaneously.

11. The real-time and accurate monitoring of signals in different bands according to claim 4, characterized in that: The automatic and accurate broadcast signal monitoring module includes a band selection unit for automatically monitoring broadcast signals using amplitude modulation or frequency modulation, and is configured to select a band according to the modulation mode of the signal to be monitored to perform accurate monitoring of the broadcast signal.

12. The real-time and accurate monitoring of signals in different scanning modes according to claim 4, characterized in that: The automatic and accurate broadcast signal monitoring module also includes a signal scanning mode selection unit for automatically monitoring broadcast signals of a specified frequency and scanning and monitoring broadcast signals of a specified frequency interval with a specified step length, and the specific features are: 12.1) The automatic monitoring of broadcast signals of a specified frequency is configured to only collect and monitor broadcast signals of a specified frequency; 12.2) The automatic monitoring of the broadcast signal in the specified frequency interval and the scanning and monitoring with the specified step length is configured to perform sampling and real-time monitoring in a round-robin manner or a random manner according to the set signal scanning step length within the frequency interval.

13. The real-time accurate monitoring of multi-channel broadcast signals according to claim 4, characterized in that: The automatic and accurate monitoring module for broadcast signals also includes a real-time and accurate monitoring unit for multiple broadcast signals, which is configured to collect and monitor multiple broadcast signals according to the number of real-time acquisition and demodulation modules for broadcast signals accessing the control platform.

14. The signal acquisition and accurate monitoring in different automatic monitoring modes according to claim 4, characterized in that: The automatic and accurate monitoring module for broadcast signals also includes accurate signal monitoring units in different automatic monitoring modes, which are configured to automatically monitor broadcast signals in three modes: acquisition only, detection only, and acquisition and monitoring. The specific features are: 14.1) The acquisition-only mode is configured to use the broadcast signal real-time acquisition and demodulation module to perform real-time acquisition of broadcast signals, and the acquired broadcast audio is stored in the broadcast audio storage module; 14.2) The detection-only mode is configured to extract the broadcast audio to be detected stored in the broadcast audio storage module to perform inappropriate content detection; 14.3) The acquisition and monitoring mode is configured to use the broadcast signal real-time acquisition and demodulation module to perform real-time acquisition of broadcast signals and store them in the broadcast audio storage module, and at the same time perform real-time detection of bad content on the acquired broadcasts.

15. The target language description according to claim 8 is: one or more languages ​​designated by the broadcast audio signal bad content accurate monitoring system for uniform display.

16. The broadcast signal monitoring location description according to claim 9 is: an indoor or outdoor location where the broadcast signal is monitored.

17. The control platform according to claim 10 is configured as follows: the system for accurately monitoring the inappropriate content of broadcast audio signals is used to control the software part of the mobile real-time accurate monitoring device for inappropriate content of broadcast audio signals.

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