Radio signal fusion communication system for fire fighting

Abstract

The invention belongs to the technical field of communication, particularly relates to a communication system for radio signal fusion for fire fighting, and provides the following scheme for solving the problem that the communication effect is affected due to the fact that the signal quality and interference condition of the current communication frequency band are inconvenient to monitor in real time in the using process of an existing communication system. The system comprises an audio signal acquisition module, the audio signal acquisition module is connected with a monitoring diagnosis module and an audio signal conversion module, the monitoring diagnosis module is connected with an encryption authentication module, the audio signal conversion module is connected with an audio signal enhancement module, and the audio signal enhancement module is connected with an audio signal compatibility module. According to the invention, in the use process, the signal quality and the interference condition of the current communication frequency band can be monitored in real time, the interphone frequency band can be rapidly and accurately switched to the optimal frequency band according to the monitoring result, and the communication effect is improved.

Description

Technical Field

[0001] This invention relates to the field of communication technology, and in particular to a communication system for fire fighting that integrates radio signals. Background Technology

[0002] A fire-fighting radio signal fusion communication system is a system that integrates multiple wireless communication technologies to fuse radio signals of different frequency bands and standards in order to meet the complex communication needs at fire emergency rescue sites.

[0003] In existing technologies, it is not convenient to monitor the signal quality and interference of the current communication frequency band in real time during the use of communication systems, which affects the communication effect. To address this issue, we propose a communication system for fire protection that integrates radio signals. Summary of the Invention

[0004] The purpose of this invention is to address the shortcomings of existing communication systems, such as the inconvenience of real-time monitoring of signal quality and interference in the current communication frequency band, which affects communication performance. Therefore, this invention proposes a communication system for fire protection that integrates radio signals.

[0005] The communication system for fire protection using fused radio signals provided in this application adopts the following technical solution:

[0006] A communication system for firefighting using fused radio signals, comprising:

[0007] An audio signal acquisition module is provided, which is connected to a monitoring and diagnostic module and an audio signal conversion module. The monitoring and diagnostic module is connected to an encryption and authentication module. The audio signal conversion module is connected to an audio signal enhancement module. The audio signal enhancement module is connected to an audio signal compatibility module.

[0008] An audio signal fusion processing module is connected to an audio signal compatibility module. The audio signal fusion processing module is connected to a remote control module. The remote control module is connected to a real-time information acquisition module. The real-time information acquisition module is connected to a transmission module.

[0009] The management platform module is connected to the transmission module, the management platform module is connected to a multi-resource integration module, the multi-resource integration module is connected to an analysis module, and the analysis module is connected to a historical information backtracking module.

[0010] A remote signal relay amplification module is provided, which is connected to a remote control module. The remote signal relay amplification module is also connected to a frequency band adaptive switching module. The frequency band adaptive switching module is connected to a multi-device collaboration module. The multi-device collaboration module is connected to a device monitoring and feedback module. The device monitoring and feedback module is connected to a dynamic adjustment module. The dynamic adjustment module is connected to a resource allocation module. The resource allocation module is connected to a voice prompt module.

[0011] Furthermore, the remote control module includes a receiving unit, a conversion unit, and a control unit, wherein the receiving unit is connected to the conversion unit, and the conversion unit is connected to the control unit.

[0012] Furthermore, the multi-resource integration module includes a management unit, a coordination and allocation unit, and an integration and optimization unit. The management unit is connected to the coordination and allocation unit, and the coordination and allocation unit is connected to the integration and optimization unit.

[0013] Furthermore, the differential signal processing circuit unit is used to further process the audio signal to ensure that the audio signal maintains consistent strength and clarity during transmission, thereby achieving seamless integration of audio signals across systems.

[0014] Furthermore, the frequency band adaptive switching module is used to monitor the signal quality and interference of the current communication frequency band in real time, use machine learning algorithms to predict the frequency band congestion trend, and when interference and congestion are detected in the current frequency band, it automatically analyzes the available frequency bands in the surrounding area and quickly switches the walkie-talkie frequency band to the optimal frequency band according to the preset priority and the current communication needs.

[0015] Furthermore, the audio signal enhancement module employs a fusion beamforming algorithm and speech enhancement technology. The beamforming algorithm focuses the sound signal in a specific direction and suppresses surrounding irrelevant noise, while the speech enhancement technology further optimizes the target speech signal by eliminating residual noise through adaptive filtering and compensating for spectral distortion of the speech signal in noisy environments through equalization spectrum.

[0016] Furthermore, the remote control module operates based on an optocoupler control circuit and utilizes opto-isolation technology to convert control commands issued by the command center into electrical signals that can be recognized by a walkie-talkie.

[0017] Furthermore, the audio isolation circuit unit is used to filter, suppress noise, and adjust the gain of differential audio signals from walkie-talkies of different standards to adapt to the signal strength of different devices and ensure that the audio signal remains clear and stable when transmitted to the management platform module.

[0018] Furthermore, the frequency band adaptive switching module includes a monitoring unit, a detection and analysis unit, and a switching execution unit. The monitoring unit is connected to the detection and analysis unit, and the detection and analysis unit is connected to the switching execution unit.

[0019] Furthermore, the audio fusion processing module includes an audio isolation circuit unit and a differential signal processing circuit unit, wherein the audio isolation circuit unit is connected to the differential signal processing circuit unit.

[0020] In summary, this application includes at least one of the following beneficial technical effects:

[0021] 1. The remote control module of this solution operates based on an optocoupler control circuit. Utilizing opto-isolation technology, it can accurately convert control commands issued by the command center into electrical signals that can be recognized by the walkie-talkie, thereby enabling remote and precise control of the walkie-talkie. This improves the flexibility and timeliness of fire command and dispatch, facilitates unified management and dispatch of on-site communication equipment by the command center, and enhances emergency rescue efficiency.

[0022] 2. The frequency band adaptive switching module of this solution can monitor the signal quality and interference of the current communication frequency band in real time, and use machine learning algorithms to predict the frequency band congestion trend. When a problem is detected, it automatically analyzes the available frequency bands in the vicinity and quickly switches to the optimal frequency band according to the preset priority and current communication needs. This can effectively avoid communication interruption or quality degradation caused by frequency band interference and congestion, ensure the continuity and reliability of fire communication, and ensure that firefighters can maintain smooth communication at any time in complex and ever-changing disaster sites, and obtain and transmit key information in a timely manner.

[0023] 3. The audio signal enhancement module of this solution adopts a fusion beamforming algorithm and voice enhancement technology. The beamforming algorithm focuses the sound signal in a specific direction and suppresses irrelevant ambient noise. The voice enhancement technology further optimizes the target voice signal, eliminates residual noise through adaptive filtering, and compensates for the spectral distortion of the voice signal in noisy environments through equalization. This series of processes significantly improves the quality of voice communication, enabling firefighters to clearly hear instructions and information in noisy environments such as fire scenes, reducing misjudgments or information omissions caused by environmental noise interference, and ensuring the smooth conduct of rescue operations.

[0024] This invention can monitor the signal quality and interference of the current communication frequency band in real time during use, and quickly and accurately switch the walkie-talkie frequency band to the optimal frequency band based on the monitoring results, thereby improving the communication effect. Attached Figure Description

[0025] Figure 1 This is a structural block diagram of a communication system for fire-fighting radio signal fusion proposed in this invention;

[0026] Figure 2This is a structural block diagram of the audio fusion processing module of a communication system for fire-fighting radio signal fusion proposed in this invention;

[0027] Figure 3 This is a structural block diagram of a remote control module for a fire-fighting radio signal fusion communication system proposed in this invention;

[0028] Figure 4 This is a structural block diagram of a frequency band adaptive switching module for a communication system that integrates radio signals for fire fighting, as proposed in this invention.

[0029] Figure 5 This is a structural block diagram of a multi-resource integration module for a fire-fighting radio signal fusion communication system proposed in this invention. Detailed Implementation

[0030] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0031] Example 1

[0032] Reference Figures 1-5 A communication system for firefighting using fused radio signals, comprising:

[0033] The audio signal acquisition module is connected to a monitoring and diagnostic module and an audio signal conversion module. The monitoring and diagnostic module is connected to an encryption and authentication module. The audio signal conversion module is connected to an audio signal enhancement module. The audio signal enhancement module is connected to an audio signal compatibility module.

[0034] An audio signal fusion processing module is connected to an audio signal compatibility module. The audio signal fusion processing module is connected to a remote control module. The remote control module is connected to a real-time information acquisition module. The real-time information acquisition module is connected to a transmission module.

[0035] The management platform module is connected to the transmission module. The management platform module is connected to the multi-resource integration module. The multi-resource integration module is connected to the analysis module. The analysis module is connected to the historical information backtracking module.

[0036] The system includes a remote signal relay amplification module, which is connected to a remote control module. The remote signal relay amplification module is connected to a frequency band adaptive switching module, which is connected to a multi-device collaboration module. The multi-device collaboration module is connected to a device monitoring and feedback module, which is connected to a dynamic adjustment module. The dynamic adjustment module is connected to a resource allocation module, which is connected to a voice prompt module. The remote control module operates based on an optocoupler control circuit, utilizing opto-isolation technology to convert control commands issued by the command center into electrical signals recognizable by the walkie-talkie. The frequency band adaptive switching module monitors the signal quality and interference of the current communication frequency band in real time, using machine learning algorithms to predict frequency band congestion trends. When interference and congestion are detected in the current frequency band, it automatically analyzes available surrounding frequency bands and, based on preset priorities and current communication needs, quickly switches the walkie-talkie frequency band to the optimal band. The audio signal enhancement module employs a fusion beamforming algorithm and voice enhancement technology. The beamforming algorithm focuses on sound signals in a specific direction and suppresses surrounding irrelevant noise, while the voice enhancement technology further optimizes the target voice signal by adaptive filtering to eliminate residual noise and equalizing the spectrum to compensate for spectral distortion of the voice signal in noisy environments.

[0037] Fusion Beamforming Algorithm

[0038] Conventional beamforming algorithm formula: Weight vector is

[0039]

[0040] The output signal is:

[0041]

[0042] Where x i (t) represents the input signal of the i-th array element, w i * represents the conjugate of the weight vector;

[0043] When the signal comes from direction θ, its steering vector is:

[0044]

[0045] Where d is the element spacing and λ is the signal wavelength;

[0046] Adaptive beamforming algorithm formula: Linearly constrained minimum variance (LCMV) criterion: Weight vector is

[0047]

[0048] Where R is the signal covariance matrix and a is the steering vector;

[0049] Minimum Variance Distortionless Response (MVDR) Beamforming Algorithm: The formula for calculating the weight vector is as follows:

[0050]

[0051] Where R is the signal covariance matrix and s is the steering vector.

[0052] Reference Figures 2-5 The audio fusion processing module includes an audio isolation circuit unit and a differential signal processing circuit unit, which are connected to each other. The remote control module includes a receiving unit, a conversion unit, and a control unit, which are connected to each other. The frequency band adaptive switching module includes a monitoring unit, a detection and analysis unit, and a switching execution unit, which are connected to each other. The multi-resource integration module includes a management unit, a coordination and allocation unit, and an integration and optimization unit, which are connected to each other. The audio isolation circuit unit is used to filter, suppress noise, and adjust the gain of differential audio signals from walkie-talkies of different standards to adapt to the signal strength of different devices, ensuring that the audio signal remains clear and stable when transmitted to the management platform module. The differential signal processing circuit unit is used to further process the audio signal to ensure that the audio signal maintains consistent strength and clarity during transmission, achieving seamless fusion of cross-system audio signals.

[0053] The implementation principle in this embodiment is as follows: During use, the audio signal acquisition module is responsible for collecting audio signals from walkie-talkies of different standards. These signals may be voice information such as instructions and reports issued by firefighters in complex environments such as fire scenes and rescue sites. The acquired audio signals are sent to the monitoring and diagnosis module to monitor and diagnose the quality and stability of the signals in real time, and to determine whether there are any abnormalities, such as signal interruption or excessive noise. On the other hand, the monitored and diagnosed signals enter the encryption and authentication module, which uses encryption technology to encrypt the signals and verify the identity information of the sender to prevent the signals from being stolen and tampered with, thus ensuring the security and reliability of communication. The audio signal conversion module performs format conversion and other processing on the original audio signals to make them compatible with subsequent processing modules. The converted signal enters the audio signal enhancement module, where it is processed using a fusion beamforming algorithm and speech enhancement technology. The beamforming algorithm focuses the sound signal in a specific direction, suppressing surrounding irrelevant noise interference. Speech enhancement technology further optimizes the target speech signal by adaptively filtering to eliminate residual noise and equalizing the spectrum to compensate for spectral distortion in noisy environments, thereby improving the clarity and intelligibility of the speech signal. The enhanced audio signal is then transmitted to the audio signal compatibility module, which performs adaptation processing to ensure compatibility with different types and standards of devices, guaranteeing smooth transmission and interaction of the audio signal in subsequent fusion processing. The signal output from the compatibility module is sent to the audio signal fusion processing module. This module includes an audio isolation circuit unit and a differential signal processing circuit unit. It filters the differential audio signals from walkie-talkies of different standards to remove high-frequency noise and interference components. At the same time, it performs noise suppression to reduce the impact of background noise on the voice signal. It also adjusts the signal gain to adapt to the signal strength of different devices, so that various signals can be effectively fused in the same system. This ensures that the audio signal remains clear and stable when transmitted to the management platform module. The module further processes the audio signal to ensure that the audio signal maintains consistent strength and clarity during transmission, achieving seamless fusion of cross-system audio signals. Differential technology can effectively improve the anti-interference capability and transmission quality of signals, enabling audio signals of different standards and frequencies to be processed in the same fusion processing module. This provides clear and stable voice information for subsequent unified command and dispatch. The fused audio signal is transmitted to the remote control module through the audio signal fusion processing module. The remote control module operates based on an optocoupler control circuit and uses opto-isolation technology to convert the control commands issued by the command center into electrical signals that can be recognized by walkie-talkies, enabling remote control of communication equipment such as walkie-talkies, such as remotely turning them on, off, and switching channels.Meanwhile, the remote control module is also connected to a real-time information acquisition module to collect various real-time information from the site, such as location information and environmental data. This information, along with the audio signal, is transmitted to the management platform module via the transmission module, providing the command center with comprehensive and real-time information about the site. The remote control module is also connected to a remote signal relay amplification module, which enhances and amplifies the communication signal to improve its coverage and transmission quality. The remote signal relay amplification module is connected to a frequency band adaptive switching module, which includes a monitoring unit, a detection and analysis unit, and a switching execution unit. The monitoring unit monitors the signal quality and interference of the current communication frequency band in real time. The detection and analysis unit uses machine learning algorithms to predict frequency band congestion trends. When interference or congestion is detected in the current frequency band, it automatically analyzes the available frequency bands in the vicinity and, based on preset priorities and current communication needs, the switching execution unit quickly switches the walkie-talkie frequency band to the optimal frequency band to ensure the continuity and reliability of communication. The frequency band adaptive switching module also connects to a multi-device collaboration module to coordinate the collaborative work between multiple communication devices, improving the overall performance and efficiency of the communication system. This module connects to a device monitoring and feedback module to monitor the real-time operating status of communication devices, such as power consumption, signal strength, and temperature, and feeds this information back to the system. The dynamic adjustment module dynamically adjusts the resource allocation and communication parameters of the communication system based on the information provided by the device monitoring and feedback module, adapting to different communication environments and task requirements to ensure optimal system operation. The management platform module receives audio signals and control commands from the transmission module, as well as various field data collected by the real-time information acquisition module, and centrally manages and stores this information. Simultaneously, the management platform module connects to a multi-resource integration module, which integrates and coordinates the allocation of various resources, such as manpower, material resources, and communication resources, ensuring the rational utilization and efficient allocation of resources during emergency rescue. The multi-resource integration module transmits the integrated information to the analysis module, which performs in-depth analysis of this data, extracting valuable information such as the fire spread trend and personnel distribution at the fire scene, providing a basis for scientific decision-making by command personnel.The analysis module is also connected to the historical information backtracking module, which stores past emergency rescue cases and related data. By backtracking and comparing historical information, it provides experience and reference for current rescue operations, helping commanders make more accurate and reasonable decisions. The decision results from the analysis module, as well as resource allocation information from the multi-resource integration module, are transmitted to the resource allocation module. The resource allocation module uses this information to rationally allocate various resources in the communication system, such as allocating communication frequency bands and scheduling communication equipment, to ensure the efficient use of communication resources and meet the needs of on-site rescue work. The resource allocation module is also connected to the voice prompt module, which provides relevant information to firefighters and commanders in a timely manner through voice prompts based on resource allocation and system operating status, such as the working status of communication equipment, resource allocation, and precautions, thereby improving the system's operability and user experience.

[0054] Example 2

[0055] The difference between this embodiment and Embodiment 1 is that the audio acquisition module is connected to an enhancement module. The enhancement module is used to integrate environmental perception functions, which can detect environmental parameters such as temperature and smoke concentration at the fire scene in real time. When environmental parameters change, such as a sharp increase in temperature or excessive smoke concentration, the sensitivity and priority of audio signal acquisition are automatically adjusted. For example, in high temperature and high smoke concentration environments, the priority of acquiring emergency distress signals from firefighters is adjusted to the highest level to ensure that critical distress information can be captured and processed first.

[0056] Example 3

[0057] The difference between this embodiment and Embodiment 1 is that the audio fusion processing module is connected to a quality assessment module. The quality assessment module is used to perform real-time quality assessment on the fused audio signal, including multiple dimensions such as signal strength, clarity, and integrity. Based on the assessment results, the signal processing parameters and strategies are automatically adjusted, such as dynamically adjusting the filtering strength of the audio isolation circuit unit and the signal enhancement degree of the differential signal processing circuit unit. At the same time, it can predict possible signal problems in advance based on the trend of signal quality changes and take preventive measures to ensure high-quality transmission of audio signals throughout the communication process, thereby improving the reliability and stability of the communication system.

[0058] Example 4

[0059] The difference between this embodiment and Embodiment 1 is that the frequency band adaptive switching module is connected to a performance optimization module. The performance optimization module is used to optimize the performance of the switched communication frequency band, including adjusting the transmission power and optimizing the modulation and demodulation methods. Based on the propagation characteristics of different frequency bands and the on-site environmental conditions, the optimal transmission power is automatically determined, which can ensure the signal coverage and transmission quality, while avoiding unnecessary energy waste and interference to other frequency bands. At the same time, the modulation and demodulation methods are flexibly selected according to the signal transmission requirements and environmental noise conditions. For example, in low-noise, long-distance transmission scenarios, an efficient modulation method is used to improve the data transmission rate, while in high-noise, short-distance scenarios, a modulation method with strong anti-interference ability is used to ensure the reliability of the signal, further improving the communication performance of the frequency band and ensuring the efficiency and stability of fire communication.

[0060] Example 5

[0061] The difference between this embodiment and Embodiment 1 is that the remote control module is connected to an intelligent control expansion module. The intelligent control expansion module is used to realize remote intelligent control of various equipment at the fire scene. For example, it can remotely control the on-site camera, adjust the shooting angle and focus to obtain a more comprehensive on-site image; remotely control the fire robot, directing it to enter the danger zone to carry out fire fighting, reconnaissance and other tasks; and remotely switch on and off the on-site ventilation equipment, lighting equipment, etc., to create better environmental conditions for rescue work. Through this remote intelligent control expansion, the ability of firefighters to operate on-site equipment is improved, the risk of personnel entering the danger zone is reduced, and the efficiency of rescue is improved.

[0062] Experimental Example

[0063] The experimental data from the fire-fighting radio signal fusion communication schemes proposed in Examples 1 to 5, compared with conventional radio signal fusion communication schemes, are shown in the table below:

[0064] Example 1 Example 2 Example 3 Example 4 Example 5 Improved communication efficiency Improved communication efficiency Improved communication efficiency Improved communication efficiency Improved communication efficiency 7% 12% 16% 20% 24%

[0065] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A communication system for firefighting using fused radio signals, characterized in that: include: An audio signal acquisition module is provided, which is connected to a monitoring and diagnostic module and an audio signal conversion module. The monitoring and diagnostic module is connected to an encryption and authentication module. The audio signal conversion module is connected to an audio signal enhancement module. The audio signal enhancement module is connected to an audio signal compatibility module. An audio signal fusion processing module is connected to an audio signal compatibility module. The audio signal fusion processing module is connected to a remote control module. The remote control module is connected to a real-time information acquisition module. The real-time information acquisition module is connected to a transmission module. The management platform module is connected to the transmission module, the management platform module is connected to a multi-resource integration module, the multi-resource integration module is connected to an analysis module, and the analysis module is connected to a historical information backtracking module. A remote signal relay amplification module is provided, which is connected to a remote control module. The remote signal relay amplification module is also connected to a frequency band adaptive switching module. The frequency band adaptive switching module is connected to a multi-device collaboration module. The multi-device collaboration module is connected to a device monitoring and feedback module. The device monitoring and feedback module is connected to a dynamic adjustment module. The dynamic adjustment module is connected to a resource allocation module. The resource allocation module is connected to a voice prompt module.

2. The communication system for fire-fighting radio signal fusion according to claim 1, characterized in that: The audio fusion processing module includes an audio isolation circuit unit and a differential signal processing circuit unit, wherein the audio isolation circuit unit is connected to the differential signal processing circuit unit.

3. A communication system for fire-fighting radio signal fusion according to claim 2, characterized in that: The remote control module includes a receiving unit, a conversion unit, and a control unit. The receiving unit is connected to the conversion unit, and the conversion unit is connected to the control unit.

4. A communication system for fire-fighting radio signal fusion according to claim 3, characterized in that: The frequency band adaptive switching module includes a monitoring unit, a detection and analysis unit, and a switching execution unit. The monitoring unit is connected to the detection and analysis unit, and the detection and analysis unit is connected to the switching execution unit.

5. A communication system for fire-fighting radio signal fusion according to claim 4, characterized in that: The multi-resource integration module includes a management unit, a coordination and allocation unit, and an integration and optimization unit. The management unit is connected to the coordination and allocation unit, and the coordination and allocation unit is connected to the integration and optimization unit.

6. A communication system for fire-fighting radio signal fusion according to claim 5, characterized in that: The audio isolation circuit unit is used to filter, suppress noise, and adjust the gain of differential audio signals from walkie-talkies of different standards to adapt to the signal strength of different devices and ensure that the audio signal remains clear and stable when transmitted to the management platform module.

7. A communication system for fire-fighting radio signal fusion according to claim 6, characterized in that: The differential signal processing circuit unit is used to further process the audio signal to ensure that the audio signal maintains consistent strength and clarity during transmission, thereby achieving seamless integration of audio signals across systems.

8. A communication system for fire-fighting radio signal fusion according to claim 7, characterized in that: The remote control module operates based on an optocoupler control circuit and uses opto-isolation technology to convert control commands issued by the command center into electrical signals that can be recognized by a walkie-talkie.

9. A communication system for fire-fighting radio signal fusion according to claim 8, characterized in that: The frequency band adaptive switching module is used to monitor the signal quality and interference of the current communication frequency band in real time, and uses machine learning algorithms to predict the frequency band congestion trend. When interference and congestion are detected in the current frequency band, it automatically analyzes the available frequency bands in the surrounding area and quickly switches the walkie-talkie frequency band to the optimal frequency band according to the preset priority and the current communication needs.

10. A communication system for fire-fighting radio signal fusion according to claim 9, characterized in that: The audio signal enhancement module employs a fusion beamforming algorithm and speech enhancement technology. The beamforming algorithm focuses the sound signal in a specific direction and suppresses surrounding irrelevant noise, while the speech enhancement technology further optimizes the target speech signal by eliminating residual noise through adaptive filtering and compensating for spectral distortion of the speech signal in noisy environments through equalization spectrum.

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