Communication platform for fire fighting truck rescue

Abstract

The invention relates to the technical field of fire-fighting emergency communication, and discloses a vehicle-mounted core scheduling module, a communication and inductance integrated multi-network convergence communication module, an AI intelligent situation research and judgment module, an air-ground cooperation relay module, a cross-domain emergency linkage module and an encryption fault-tolerant storage module. All the modules are bidirectionally and electrically connected through a high-speed anti-interference bus to form an integrated closed-loop framework; and the vehicle-mounted core scheduling module is a platform center, is internally provided with a link dynamic decision-making unit, and is used for receiving data of each module, generating a scheduling instruction and realizing module collaboration and bidirectional data interaction with a fire-fighting command center. Through breaking through the limitation of mutual independence of communication and environment perception in the prior art, a communication link and environment perception are deeply fused, communication transmission and environment parameter acquisition are synchronously carried out, communication parameters can be dynamically adjusted according to a field environment, communication interruption caused by an extreme environment is avoided, and the communication efficiency is improved. Meanwhile, field structure hidden dangers are inverted through the wireless signal inversion unit, and extra support is provided for rescue decision making.

Description

Technical Field

[0001] This invention relates to the field of fire emergency communication technology, specifically a communication platform for fire truck rescue. Background Technology

[0002] Fire and rescue communication platforms are core equipment for ensuring the safety of rescue personnel and improving rescue efficiency. Existing fire truck rescue communication platforms mostly adopt a conventional modular splicing architecture of "multi-network integration + audio and video + positioning".

[0003] The existing fire truck rescue communication platform has the following problems: Existing multi-network convergence technologies are merely simple link superposition, failing to achieve deep integration of communication and environmental perception. The communication module and environmental perception module of existing platforms are independent of each other, and the switching of communication links depends solely on signal strength. They cannot dynamically adjust communication parameters according to the field environment, leading to problems such as communication interruption and signal attenuation in extreme environments. Secondly, the coverage capability in extreme blind areas is insufficient. Most existing Mesh self-organizing networks are single-level networks without air-to-ground collaborative relay mechanisms, which cannot effectively cover deep blind areas such as underground pipe corridors and the core tubes of high-rise buildings. In the current technology, the collaboration between drones and communication platforms is only at the level of video backhaul, and a dual coverage architecture of "master relay + slave blind spot filling" has not been formed. Firefighters will still face communication interruption problems after entering underground or building interiors. At the same time, the fault tolerance of existing Mesh network nodes is poor, and some nodes cannot quickly self-heal after failure, which further affects communication stability. Furthermore, existing platforms lack intelligent situational assessment capabilities, and can only achieve simple data transmission and display. They cannot automatically identify the disaster level or assess the spread trend of danger based on multi-source data. Commanders still need to rely on experience to make decisions, which can easily lead to decision delays and tactical errors. The existing scheduling mechanisms are mostly based on fixed priorities and cannot dynamically adjust the communication link priorities according to changes in the disaster situation. In the case of major disasters, it is difficult to guarantee the real-time transmission of core instructions. Summary of the Invention

[0004] This invention provides a communication platform for fire truck rescue, in order to solve the problems mentioned in the background art.

[0005] This invention provides the following technical solution: a communication platform for fire truck rescue, including an on-board core dispatch module, a multi-network converged communication module integrating sensing and communication, an AI intelligent situation assessment module, an air-ground collaborative relay module, a cross-domain emergency linkage module, and an encrypted fault-tolerant storage module; Each module is connected bidirectionally via a high-speed anti-interference bus to form an integrated closed-loop architecture; The vehicle-mounted core scheduling module is the central hub of the platform, with a built-in dynamic decision-making unit for receiving data from each module and generating scheduling instructions, enabling module collaboration and two-way data interaction with the fire command center. The integrated multi-network converged communication module integrates communication links and environmental sensing units, enabling AI-driven adaptive seamless switching between public networks, 350MHz fire protection private networks, satellites, and Mesh self-organizing networks. The AI ​​intelligent situation assessment module has a built-in disaster level identification algorithm and situation mapping unit. It automatically identifies disasters, assesses the trend of danger, and generates rescue suggestions based on environmental, audio and video, and location data. The air-ground collaborative relay module includes a vehicle-mounted relay unit and a UAV mother-daughter relay unit. It achieves seamless communication coverage in extreme scenarios by having the mother unit hover and relay while the daughter units form a network deep in blind spots. The cross-domain emergency response module has a built-in multi-protocol adaptive conversion unit, which is compatible with communication terminals of multiple departments and enables real-time communication and collaborative scheduling of instructions. The encrypted fault-tolerant storage module adopts national cryptographic encryption and a distributed fault-tolerant architecture to achieve local encrypted storage of data and off-site backup in the cloud, and has the function of resuming interrupted transmission.

[0006] As a preferred technical solution of the present invention, the environmental sensing unit includes a temperature sensor, a toxic gas sensor, a smoke sensor, and a building structure deformation sensor located outside the communication platform. It can collect on-site environmental parameters in real time and transmit them synchronously to the AI ​​intelligent situation analysis module. At the same time, it can automatically adjust the power and encoding method of the communication link according to the environmental parameters to avoid communication interruption caused by high temperature and high interference environment.

[0007] As a preferred technical solution of the present invention, the Mesh self-organizing network unit of the integrated sensing and multi-network converged communication module adopts a distributed node adaptive networking architecture, which can automatically form multi-level relay links with firefighter individual terminals and drone slave units, with a networking radius of ≥800 meters, supporting up to 50 nodes to access simultaneously, and has a node fault self-healing function with a healing time of ≤80ms, which can effectively cover extreme blind areas such as underground pipe corridors and core tubes of high-rise buildings.

[0008] As a preferred technical solution of the present invention, the disaster level identification algorithm of the AI ​​intelligent situation assessment module adopts a deep learning model, integrates environmental parameters, audio and video features, and positioning trajectory data, and can automatically identify the disaster level with high accuracy. At the same time, based on the GIS map, it can plot the distribution of rescue forces, the location of trapped personnel, and the fire spread trajectory in real time, and generate the optimal rescue route and tactical suggestions.

[0009] As a preferred technical solution of the present invention, the UAV mother-daughter relay unit of the air-ground cooperative relay module has a mother unit with high-altitude hovering relay capability, a communication coverage radius of ≥3km, and can access satellite links to realize signal relay between the ground and blind areas; the daughter unit is a portable independent structure or a daughter module installed on the mother unit and detachable from the mother unit, which can penetrate into blind areas such as underground and inside buildings, automatically network with vehicle-mounted relay units and individual soldier terminals to achieve dual coverage of "mother unit relay + daughter unit blind spot filling", the daughter unit has an endurance of ≥2 hours, and supports explosion-proof, dustproof, and waterproof design.

[0010] As a preferred technical solution of the present invention, the link dynamic decision-making unit of the vehicle-mounted core scheduling module can dynamically allocate the priority of each communication link based on the disaster level output by the AI ​​intelligent situation assessment module and the communication signal quality collected by the integrated sensing module: in the event of a major or above disaster, priority is given to satellite links and Mesh self-organizing network links; in the event of a regular disaster, priority is given to using 4G / 5G public networks and 350MHz trunking links to ensure the real-time performance and reliability of command command transmission.

[0011] As a preferred technical solution of the present invention, the cross-domain emergency linkage module has a built-in emergency resource scheduling unit, which can automatically synchronize the resource information of various cooperating departments. The command center can realize the precise scheduling of resources from multiple departments through the cross-domain emergency linkage module without the need for manual signal conversion, which greatly improves the efficiency of collaborative rescue.

[0012] As a preferred technical solution of the present invention, the encrypted fault-tolerant storage module adopts a dual mechanism of "local solid-state hard disk + cloud distributed storage". The local storage time is ≥96 hours, and the cloud backup supports breakpoint resume. When the vehicle terminal is damaged or communication is interrupted, the unfinished rescue data can be automatically resumed after communication is restored, ensuring the integrity and traceability of the data.

[0013] As a preferred technical solution of the present invention, the overall shell of the platform adopts an explosion-proof, waterproof and dustproof design, with a protection level of IP68, an operating temperature range of -30℃ to 85℃, and is equipped with an independent UPS backup power supply module and a solar emergency power supply unit, with a battery life of ≥12 hours, and can adapt to extreme rescue environments such as high temperature, dense smoke, vibration and heavy rain.

[0014] As a preferred technical solution of the present invention, the integrated multi-network converged communication module also integrates a wireless signal inversion unit, which can invert the underground space structure and building collapse hazards by analyzing the attenuation and refraction changes of communication signals, and simultaneously push the data to the AI ​​intelligent situation assessment module to provide additional data support for rescue decision-making.

[0015] The present invention has the following beneficial effects: 1. This communication platform for fire truck rescue breaks through the limitations of existing technologies where communication and environmental perception are independent, deeply integrating the communication link with environmental perception to achieve synchronous communication transmission and environmental parameter acquisition. It can dynamically adjust communication parameters according to the on-site environment, avoiding communication interruptions caused by extreme environments. At the same time, it uses a wireless signal inversion unit to invert on-site structural hazards, providing additional support for rescue decision-making.

[0016] 2. This communication platform for fire truck rescue adopts a dual coverage architecture of "vehicle-mounted relay + UAV mother-daughter relay". The mother unit relays in the air at high altitudes and the daughter unit fills in blind spots, forming a multi-level relay link. It effectively covers deep blind spots such as underground pipe corridors and the core tube of high-rise buildings, solving the "last 100 meters" communication interruption problem of existing technologies. The distributed Mesh self-organizing network has the function of self-healing of node failures, further improving the stability of the link. Compared with the single-level networking of existing technologies, the coverage capability and reliability are greatly improved.

[0017] 3. This communication platform for fire truck rescue automatically identifies the level of disaster and assesses the trend of hazard spread through a deep learning model. It introduces an AI intelligent situation assessment module to generate a visualized situation map and optimal rescue suggestions, breaking through the limitations of existing technologies that can only display data without intelligent assessment. This avoids errors caused by human experience-based decision-making and significantly improves the accuracy and efficiency of rescue command. The link dynamic decision-making unit can dynamically adjust the link priority according to the level of disaster and communication quality to ensure that core instructions are transmitted first and adapt to the needs of different rescue scenarios.

[0018] 4. This communication platform for fire truck rescue achieves seamless compatibility between terminals of multiple departments through a multi-protocol adaptive conversion unit, eliminating the need for manual signal conversion and significantly improving cross-departmental collaboration efficiency. Its distributed fault-tolerant storage and breakpoint resume function ensure that rescue data is not lost or tampered with in extreme environments. Compared with the single storage mode of existing technologies, data security and integrity are significantly improved. Attached Figure Description

[0019] Figure 1 A block diagram showing the modular connection structure of a communication platform used for fire truck rescue. Figure 2 This is a flowchart of the integrated multi-network converged communication module of the present invention; Figure 3 This is a flowchart of the air-ground collaborative relay and AI intelligent judgment module of the present invention; Figure 4 This is a flowchart illustrating the communication process in extreme scenarios of the present invention. Detailed Implementation

[0020] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0021] Please see Figures 1-4 This communication platform for fire truck rescue includes a vehicle-mounted core dispatch module, a multi-network converged communication module, an AI intelligent situational assessment module, an air-to-ground collaborative relay module, a cross-domain emergency linkage module, and an encrypted fault-tolerant storage module. All six modules adopt industrial-grade hardware design, are adapted to fire truck installation scenarios, are compact, and highly shock-resistant. They can be directly integrated into the onboard control consoles of various main battle fire trucks and rescue vehicles, and are directly compatible with existing fire truck 12V / 24V power supply interfaces and installation spaces, requiring no large-scale modifications to existing vehicles and exhibiting strong compatibility. Each module is independently packaged and has a quick-disassembly function, facilitating later maintenance, upgrades, and replacements, reducing operation and maintenance costs, while also meeting the high-intensity operational needs of fire rescue sites, ensuring long-term stable operation. Each module is connected bidirectionally via a high-speed anti-interference bus to form an integrated closed-loop architecture. The high-speed anti-interference bus adopts a shielded transmission design, which can withstand the effects of extreme environments such as high temperature, dense smoke, and electromagnetic interference at fire and rescue sites, avoiding problems such as data loss and command delay during bus transmission. The bus transmission rate is ≥1Gbps, the interface adopts an RJ45 industrial-grade waterproof interface, the data interaction format is JSON, the maximum data transmission volume of a single packet is 1024KB, and the interaction delay between modules is ≤20ms, ensuring the real-time data interaction between modules. The closed-loop architecture breaks the limitations of traditional independent module operation, realizing a complete closed loop of "data acquisition - analysis and judgment - command issuance - execution feedback", ensuring seamless connection of each link in the rescue process, and greatly improving the overall operating efficiency and reliability of the platform. The vehicle-mounted core dispatch module serves as the platform's central hub, incorporating a dynamic link decision unit. This unit receives data from various modules and generates dispatch instructions, enabling module collaboration and two-way data interaction with the fire command center. The vehicle-mounted core dispatch module utilizes a high-performance industrial-grade processor with a clock speed ≥3.5GHz and memory ≥32GB, capable of simultaneously processing data transmitted from multiple modules in parallel, and possessing powerful data parsing and instruction generation capabilities. The dynamic link decision unit, the core control unit, analyzes data from each module in real time, dynamically adjusting dispatch strategies and bandwidth resource allocation ratios based on the actual situation at the rescue site, ensuring the accuracy of instruction issuance. Two-way data interaction with the fire command center supports redundant backups of multiple links, including fiber optic, 4G / 5G, and satellite, using the SIP / RTSP protocol to avoid command disruptions caused by single link interruptions. It can simultaneously upload on-site rescue data and receive plans and instructions from the command center, achieving vertical and horizontal coordination. The integrated communication module combines communication links and environmental sensing units, enabling AI-driven adaptive seamless switching between public networks, 350MHz fire protection networks, satellites, and mesh self-organizing networks with a switching latency of ≤150ms. This module is one of the core innovative modules of the platform, breaking through the traditional limitations of independent communication and sensing to achieve integrated synchronous operation of "communication transmission + environmental sensing + signal inversion". The communication link unit integrates multiple links such as 4G / 5G public networks, 350MHz fire protection trunking, Tiantong-1 satellite, distributed mesh self-organizing networks, and shortwave communication. The AI-driven adaptive switching technology can automatically select the optimal link based on the on-site signal quality and environmental complexity, with a switching latency of ≤150ms, avoiding communication interruptions caused by single link failures. The environmental sensing unit collects on-site environmental parameters in real time, providing basic data support for link switching and AI analysis, and realizing dynamic adaptation between communication links and the on-site environment. The AI-powered intelligent situation assessment module incorporates a disaster severity level identification algorithm and a situation mapping unit. Based on environmental, audio-visual, and positioning data, it automatically identifies disaster situations, assesses hazard trends, and generates rescue suggestions. This module relies on deep learning algorithms, integrating environmental data collected by the integrated sensing module, audio-visual data collected by vehicle-mounted and individual soldier terminals, and personnel and vehicle trajectory data collected by the positioning module to achieve multi-source data fusion analysis. The disaster severity level identification algorithm, trained on real-world fire and rescue scenario samples, achieves an accuracy rate of ≥98% for identifying four disaster levels: general, relatively large, major, and extremely major, enabling rapid and accurate identification of disaster severity. The situation mapping unit, based on an offline GIS map, maps key information such as the distribution of rescue forces, the location of trapped personnel, and the trajectory of fire spread in real time, with a mapping update frequency of 5Hz. The generated rescue suggestions closely match the actual situation on-site, directly providing decision support for commanders, replacing traditional manual experience-based decision-making, and significantly improving the accuracy and efficiency of rescue command. This module interacts with the vehicle-mounted core dispatch module via UDP protocol for high-speed data exchange, with assessment results and situation mapping data uploaded every 500ms. The air-ground coordinated relay module includes a vehicle-mounted relay unit and a UAV mother-daughter relay unit. Through hovering relay by the mother unit and deep-penetrating network formation by the daughter units, it achieves seamless communication coverage in extreme scenarios. Designed to address communication challenges in extreme blind spots such as underground utility tunnels and the core tubes of high-rise buildings, this module employs a dual coverage architecture of "vehicle-mounted relay + UAV mother-daughter relay." The vehicle-mounted relay unit, installed on the top of the fire truck, provides basic communication coverage on the ground and can connect to satellite links to build a large-scale backbone communication network. The daughter units are compact and portable, allowing them to penetrate deep into underground and building interiors, automatically networking with the vehicle-mounted relay unit and individual soldier terminals to form multi-level relay links. This completely solves the problem of communication interruptions at the rescue site, ensuring real-time communication between rescue personnel and the command center. The cross-domain emergency response module has a built-in multi-protocol adaptive conversion unit, which is compatible with communication terminals of multiple departments and enables real-time communication and collaborative dispatch of instructions. This module is compatible with communication terminals of different frequency bands and different standards of multiple departments such as fire protection, public security, medical care, and emergency management. The multi-protocol adaptive conversion unit can automatically convert different communication protocols without manual intervention, and the instruction transmission delay is ≤80ms, breaking down communication barriers in multi-department collaborative rescue. Through this module, real-time synchronization and precise dispatch of resource information of multiple departments can be achieved. The command center can quickly coordinate medical rescue, on-site warning and other forces to form a rescue synergy and avoid problems such as instruction disconnection and inefficient dispatch in the process of multi-department collaboration. The encrypted fault-tolerant storage module adopts national cryptographic encryption and a distributed fault-tolerant architecture to achieve local encrypted data storage and off-site cloud backup, and has the function of resuming interrupted transmission. The module uses the national cryptographic SM4 / SM9 encryption algorithm to encrypt all data such as audio and video, environmental parameters, and command instructions during the rescue process to prevent data leakage and tampering and ensure data security. The distributed fault-tolerant storage architecture combines local solid-state drives and cloud distributed storage. Local storage can meet the real-time data storage needs for a certain period of time, while cloud backup provides off-site redundancy to avoid data loss due to damage to the vehicle terminal. The function of resuming interrupted transmission can automatically resume the transmission of unfinished rescue data when communication is restored after an interruption, ensuring the integrity and traceability of the data and providing complete data support for post-disaster review and rescue training.

[0022] In a preferred embodiment, the environmental sensing unit includes a temperature sensor, a toxic gas sensor, a smoke sensor, and a building structure deformation sensor located outside the communication platform. These sensors can collect on-site environmental parameters in real time and transmit them synchronously to the AI ​​intelligent situation assessment module. Simultaneously, the unit automatically adjusts the power and encoding method of the communication link based on the environmental parameters to avoid communication interruptions caused by high temperatures and high interference environments. All sensors integrated into the environmental sensing unit adopt industrial-grade protection design, achieving an IP68 protection level, and can adapt to extreme rescue environments such as high temperatures, dense smoke, and corrosive gases. The temperature sensor has a measurement range of -40℃ to 150℃, and the toxic gas concentration sensor has a detection accuracy of ≤0.5ppm, accurately capturing changes in the on-site environment. The collected environmental parameters are transmitted in real time to the AI ​​intelligent situation assessment module, providing data support for disaster assessment. The module can also dynamically adjust the communication power and encoding method based on the environmental parameters. For example, it can increase the communication power and switch to an anti-interference encoding mode in high-temperature and high-interference scenarios, and switch to a low-bitrate high-definition transmission mode in dense smoke scenarios to ensure stable communication links.

[0023] In a preferred embodiment, the Mesh self-organizing network unit of the integrated sensing and communication module adopts a distributed node adaptive networking architecture. It can automatically form multi-level relay links with firefighter individual terminals and drone slave units, with a networking radius of ≥800 meters, supporting up to 50 nodes to access simultaneously. It also has a node fault self-healing function with a healing time of ≤80ms, effectively covering extreme blind spots such as underground utility tunnels and the core tubes of high-rise buildings. The Mesh self-organizing network unit adopts a 2.4GHz / 5GHz dual-band design, which has the advantages of strong anti-interference ability and flexible networking. The distributed node adaptive networking architecture can realize automatic node discovery and automatic networking without manual configuration. The networking radius of ≥800 meters and support for 50 nodes to access simultaneously can meet the collaborative communication needs of multiple rescue teams and multiple devices. The node fault self-healing function can quickly rebuild the communication link when some nodes are damaged or lost, with a healing time of ≤80ms, ensuring that the communication link is not interrupted in extreme blind spot scenarios, effectively covering areas that are difficult to cover by traditional communication such as underground utility tunnels and the core tubes of high-rise buildings.

[0024] In a preferred embodiment, the disaster severity assessment module employs a deep learning model for its disaster severity level identification algorithm. This model integrates environmental parameters, audio-visual features, and location trajectory data to automatically identify the disaster severity level with high accuracy. Simultaneously, it uses a GIS map to plot the distribution of rescue forces, the location of trapped personnel, and the fire spread trajectory in real time, generating optimal rescue routes and tactical suggestions. The deep learning model uses a CNN+LSTM fusion architecture and has been trained on a large amount of fire rescue scenario data, achieving a disaster severity level identification accuracy of ≥98%, enabling rapid and accurate identification of disaster severity. The multi-dimensional analysis mode, integrating environmental parameters, audio-visual features, and location trajectory data, comprehensively captures on-site disaster information, avoiding assessment biases caused by single data dimensions. The GIS map supports offline use and can be plotted normally in extreme scenarios without public network signals. The plotted information is updated in real time, and the generated optimal rescue routes can avoid dangerous areas and shorten rescue time. The tactical suggestions are tailored to the on-site environment and rescue needs, improving the safety and efficiency of the rescue.

[0025] In a preferred embodiment, the UAV mother-daughter relay unit of the air-to-ground collaborative relay module has a mother unit with high-altitude hovering relay capability, a communication coverage radius of ≥3km, and the ability to connect to a satellite link to achieve signal relay between the ground and blind spots. The daughter unit is a portable, independent structure or a sub-module mounted on the mother unit and detachable from it, capable of penetrating underground, inside buildings, and other blind spots. It automatically networks with vehicle-mounted relay units and individual soldier terminals to achieve dual coverage of "mother unit relay + daughter unit blind spot filling". The daughter unit has an endurance of ≥2 hours and supports explosion-proof, dustproof, and waterproof design. The UAV mother unit adopts a multi-rotor design with an endurance of ≥4 hours and a hovering altitude of ≥4km. It can be flexibly adjusted between 50 and 100 meters, with a communication coverage radius of ≥3km. After connecting to the satellite link, it can achieve large-scale signal relay, making it suitable for large-area rescue scenarios. The slave unit has a size of ≤20cm×15cm×10cm and a weight of ≤1kg. It can be carried by firefighters or precisely deployed by the mother unit to penetrate into blind areas such as underground and inside buildings. The slave unit has an IP68 protection rating, supports explosion-proof, dustproof, and waterproof, and has a battery life of ≥2 hours. It can automatically network with vehicle-mounted relay units and individual soldier terminals to form a dual coverage architecture of "mother unit high-altitude relay + slave unit blind spot filling", solving the communication problem in extreme blind areas.

[0026] In a preferred embodiment, the link dynamic decision-making unit of the vehicle-mounted core scheduling module can dynamically allocate the priority of each communication link based on the disaster level output by the AI ​​intelligent situation assessment module and the communication signal quality collected by the integrated sensing module: In the event of a major or above disaster, priority is given to satellite links and Mesh self-organizing network links; in the event of a regular disaster, priority is given to 4G / 5G public networks and 350MHz trunking links to ensure the real-time and reliable transmission of command instructions. The link dynamic decision-making unit has a built-in priority scheduling algorithm that can receive the disaster level output by the AI ​​intelligent situation assessment module and the communication signal quality data collected by the integrated sensing module in real time, and dynamically adjust the resource allocation and priority of each link; In the event of a major or above disaster, satellite links and Mesh self-organizing network links serve as core communication links, prioritizing the transmission of core data such as command instructions and vital sign data, cutting off non-core data, and ensuring that core instructions are not delayed; In the event of a regular disaster, priority is given to 4G / 5G public networks and 350MHz trunking links to improve data transmission efficiency, reduce the cost of using satellite links, and achieve optimal link allocation under different disaster scenarios.

[0027] In a preferred embodiment, the cross-domain emergency response module has a built-in emergency resource dispatch unit that can automatically synchronize resource information from various collaborating departments. The command center can use the cross-domain emergency response module to achieve precise dispatch of resources from multiple departments without the need for manual signal conversion, greatly improving the efficiency of collaborative rescue. The emergency resource dispatch unit can interface with the resource management systems of multiple departments such as public security, medical, and emergency management, automatically synchronizing resource information such as the number of rescue personnel, equipment types, material reserves, and vehicle locations of each department to form a visualized resource ledger. The command center can use this unit to quickly query and dispatch the required resources without the need for manual signal conversion, avoiding problems such as information asymmetry and cumbersome dispatching in the process of multi-department collaboration. After the instructions are issued, the execution status can be fed back in real time, greatly shortening the resource dispatching time, improving the efficiency of collaborative rescue, and forming a rescue pattern of "unified command and multi-party linkage".

[0028] In a preferred embodiment, the encrypted fault-tolerant storage module adopts a dual mechanism of "local solid-state drive + cloud distributed storage". The local storage duration is ≥96 hours, and the cloud backup supports breakpoint resume. When the vehicle terminal is damaged or communication is interrupted, the unfinished rescue data can be automatically resumed after communication is restored, ensuring the integrity and traceability of the data. The local storage uses industrial-grade solid-state drives of 2TB or more, which have fast read and write speeds and strong shock resistance, and can continuously store more than 96 hours of real-time rescue data to meet the real-time data storage needs during the rescue process. The cloud distributed storage adopts a multi-node backup architecture, which can realize off-site redundant backup of rescue data to prevent data loss due to damage to the local terminal. The breakpoint resume function can save the data transmission progress in extreme cases such as damage to the vehicle terminal and communication interruption, and automatically resume the unfinished data after communication is restored, ensuring the complete retention of rescue data and providing traceable and complete data support for post-disaster accident analysis, rescue tactic optimization, and rescue personnel training.

[0029] In a preferred embodiment, the platform's overall shell is designed to be explosion-proof, waterproof, and dustproof, with an IP68 protection rating and an operating temperature range of -30℃ to 85℃. It is equipped with an independent UPS backup power supply module and a solar emergency power supply unit, providing a runtime of ≥12 hours. This allows it to adapt to extreme rescue environments such as high temperatures, dense smoke, vibration, and heavy rain. The platform's overall shell is made of high-strength explosion-proof alloy material, with excellent sealing performance and an IP68 protection rating, effectively resisting the intrusion of dust, rainwater, and corrosive gases, and preventing damage to internal modules from high temperatures and vibration. The operating temperature range covers -30℃ to 85℃, adapting to extreme temperature environments such as the frigid north, the high temperatures of the south, and fire scenes. The independent UPS backup power supply module and the solar emergency power supply unit form a dual emergency power supply guarantee, working in conjunction with the vehicle's 12V / 24V power supply to achieve a triple power supply mode, providing a runtime of ≥12 hours. This ensures that the platform can still operate normally under conditions of power outage or extreme power failure, guaranteeing uninterrupted communication throughout the rescue process.

[0030] In a preferred embodiment, the integrated multi-network communication module also integrates a wireless signal inversion unit. By analyzing the attenuation and refraction changes of communication signals, it can invert the underground space structure and potential building collapse hazards, and simultaneously push the data to the AI ​​intelligent situation assessment module to provide additional data support for rescue decision-making. The wireless signal inversion unit is an innovative supplementary function of this module. By capturing the attenuation, refraction, and reflection changes of communication signals during propagation, it combines algorithm models to invert hidden information such as underground space structures and potential building collapse hazards, with a positioning accuracy of ≤5 meters. The inversion data is pushed to the AI ​​intelligent situation assessment module in real time, and is fused and analyzed with environmental perception data and audio-visual data to help commanders fully grasp hidden risks on site, such as identifying the distribution of underground utility tunnels and predicting building collapse areas. This provides additional data support for rescue route planning and the safety protection of rescue personnel, further improving the scientific nature and safety of rescue decisions.

[0031] Working principle: Start-up and initialization phase: After the fire truck is dispatched, the platform starts automatically, each module completes self-check and initialization, the vehicle-mounted core dispatch module acts as the central hub, quickly establishes two-way communication links with each module, the integrated multi-network communication module automatically connects to the fire command center, and synchronously obtains dispatch instructions, disaster plans and surrounding environmental information, the air-ground collaborative relay module, the AI ​​intelligent situation analysis module and other modules complete their preparation work to ensure that the platform can be put into use at any time; On-site perception and communication phase: Upon arrival at the rescue site, the integrated sensing and communication module activates the environmental perception unit to collect environmental parameters such as on-site temperature, toxic gas concentration, smoke concentration, and building structural deformation in real time. Simultaneously, it achieves multi-link adaptive switching through the communication link unit, selecting the optimal communication link based on on-site signal quality to ensure real-time transmission of on-site data and command instructions. The wireless signal inversion unit simultaneously analyzes changes in communication signals, inverts underground space structure and building collapse hazards, and transmits all perception and communication data synchronously to the vehicle-mounted core dispatch module. Intelligent assessment and decision-making stage: The vehicle-mounted core dispatch module distributes the received multi-source data to the AI ​​intelligent situation assessment module. The AI ​​module integrates environmental parameters, audio and video features, positioning trajectory and signal inversion data through a deep learning model to automatically identify the disaster level, assess the trend of danger spread, and automatically identify the disaster level and assess the trend of danger spread based on real-time plotting of rescue force distribution, location of trapped personnel, danger zones, etc. on GIS map, generating the optimal rescue route and tactical suggestions, which are then pushed to the vehicle-mounted core dispatch module. The link dynamic decision-making unit of the vehicle-mounted core dispatch module dynamically allocates the priority of each communication link based on the disaster level and communication signal quality to ensure that core commands are transmitted first. In the collaborative rescue and data storage phase: the vehicle-mounted core dispatch module issues dispatch instructions to various modules based on AI analysis results; the air-to-ground collaborative relay module activates the drone mother and daughter drones, with the mother drone hovering at high altitude to build a backbone communication network, and the daughter drones deployed to blind spots to fill in the gaps, ensuring uninterrupted communication between the rescue personnel and the command center; the cross-domain emergency linkage module activates a multi-department collaborative mode, automatically synchronizing resource information from various departments to achieve real-time communication of instructions and precise resource dispatch, forming a joint rescue force; the encrypted fault-tolerant storage module simultaneously performs local encrypted storage and off-site cloud backup of all data during the rescue process, with breakpoint resume function to ensure that data is not lost or tampered with; Emergency Support and Post-Rescue Phase: The platform, relying on its IP68 protection rating and triple power supply mode, adapts to extreme environments such as high temperatures, dense smoke, and vibration, ensuring stable operation throughout the process. During rescue operations, in the event of module failures or communication interruptions, the vehicle-mounted core dispatch module quickly issues alarms and activates backup plans to ensure uninterrupted rescue efforts. After the rescue is completed, the encrypted fault-tolerant storage module archives all rescue data, which staff can retrieve for post-disaster review, tactical optimization, and personnel training, further enhancing the practical capabilities of fire and rescue teams. Throughout the entire process, the six modules form a closed-loop linkage through a high-speed anti-interference bus, realizing full-process automation of data collection, analysis, decision-making, execution, and storage. This overcomes the pain points of existing technologies in areas such as communication in extreme blind zones, intelligent judgment, and collaborative scheduling, and significantly improves the safety, accuracy, and efficiency of fire rescue.

[0032] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0033] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended technical solutions and their equivalents.

Claims

1. A communication platform for fire truck rescue, characterized in that, It includes an onboard core dispatch module, a multi-network converged communication module integrating sensing and communication, an AI intelligent situational assessment module, an air-ground collaborative relay module, a cross-domain emergency response module, and an encrypted fault-tolerant storage module; Each module is connected bidirectionally via a high-speed anti-interference bus to form an integrated closed-loop architecture; The vehicle-mounted core scheduling module is the central hub of the platform, with a built-in dynamic decision-making unit for receiving data from each module and generating scheduling instructions, enabling module collaboration and two-way data interaction with the fire command center. The integrated multi-network converged communication module integrates communication links and environmental sensing units, enabling AI-driven adaptive seamless switching between public networks, 350MHz fire protection private networks, satellites, and Mesh self-organizing networks. The AI ​​intelligent situation assessment module has a built-in disaster level identification algorithm and situation mapping unit. It automatically identifies disasters, assesses the trend of danger, and generates rescue suggestions based on environmental, audio and video, and location data. The air-ground collaborative relay module includes a vehicle-mounted relay unit and a UAV mother-daughter relay unit. It achieves seamless communication coverage in extreme scenarios by having the mother unit hover and relay while the daughter units form a network deep in blind spots. The cross-domain emergency response module has a built-in multi-protocol adaptive conversion unit, which is compatible with communication terminals of multiple departments and enables real-time communication and collaborative scheduling of instructions. The encrypted fault-tolerant storage module adopts national cryptographic encryption and a distributed fault-tolerant architecture to achieve local encrypted storage of data and off-site backup in the cloud, and has the function of resuming interrupted transmission.

2. The communication platform for fire truck rescue according to claim 1, characterized in that: The environmental sensing unit includes a temperature sensor, a toxic gas sensor, a smoke sensor, and a building structure deformation sensor located outside the communication platform. It can collect on-site environmental parameters in real time and transmit them synchronously to the AI ​​intelligent situation analysis module. At the same time, it can automatically adjust the power and encoding method of the communication link according to the environmental parameters to avoid communication interruptions caused by high temperature and high interference environments.

3. The communication platform for fire truck rescue according to claim 1, characterized in that: The Mesh self-organizing network unit of the integrated sensing and multi-network converged communication module adopts a distributed node adaptive networking architecture, which can automatically form multi-level relay links with firefighter individual terminals and drone slave units. The networking radius is ≥800 meters, supports up to 50 nodes to access at the same time, and has a node fault self-healing function with a healing time ≤80ms. It can effectively cover extreme blind areas such as underground pipe corridors and core tubes of high-rise buildings.

4. The communication platform for fire truck rescue according to claim 1, characterized in that: The disaster level identification algorithm of the AI ​​intelligent situation assessment module adopts a deep learning model, which integrates environmental parameters, audio and video features, and positioning trajectory data. It can automatically identify the disaster level with high accuracy. At the same time, it can generate the optimal rescue route and tactical suggestions based on the real-time plotting of the distribution of rescue forces, the location of trapped personnel, and the fire spread trajectory on the GIS map.

5. The communication platform for fire truck rescue according to claim 1, characterized in that: The air-to-ground collaborative relay module comprises a UAV mother-daughter relay unit. The mother unit has high-altitude hovering relay capability, with a communication coverage radius of ≥3km. It can access satellite links to achieve signal relay between the ground and blind spots. The daughter unit is a portable, independent structure or a sub-module installed on the mother unit and detachable from it. It can penetrate into blind spots such as underground and inside buildings, automatically network with vehicle-mounted relay units and individual soldier terminals, and achieve dual coverage of "mother unit relay + daughter unit blind spot filling". The daughter unit has a battery life of ≥2 hours and supports explosion-proof, dustproof, and waterproof design.

6. The communication platform for fire truck rescue according to claim 1, characterized in that: The link dynamic decision-making unit of the vehicle-mounted core scheduling module can dynamically allocate the priority of each communication link based on the disaster level output by the AI ​​intelligent situation assessment module and the communication signal quality collected by the integrated sensing module: in the event of a major or above disaster, priority is given to satellite links and Mesh self-organizing network links; in the event of a regular disaster, priority is given to using 4G / 5G public networks and 350MHz trunking links to ensure the real-time performance and reliability of command and control instruction transmission.

7. The communication platform for fire truck rescue according to claim 1, characterized in that: The cross-domain emergency response module has a built-in emergency resource scheduling unit that can automatically synchronize resource information from various collaborating departments. The command center can use the cross-domain emergency response module to achieve precise scheduling of resources from multiple departments without the need for manual signal conversion, which greatly improves the efficiency of collaborative rescue.

8. The communication platform for fire truck rescue according to claim 1, characterized in that: The encrypted fault-tolerant storage module adopts a dual mechanism of "local solid-state drive + cloud distributed storage". The local storage time is ≥96 hours, and the cloud backup supports breakpoint resume. When the vehicle terminal is damaged or communication is interrupted, the unfinished rescue data can be automatically resumed after communication is restored, ensuring the integrity and traceability of the data.

9. The communication platform for fire truck rescue according to claim 1, characterized in that: The platform's overall shell is designed to be explosion-proof, waterproof, and dustproof, with a protection level of IP68. Its operating temperature range is -30℃ to 85℃. It is equipped with an independent UPS backup power supply module and a solar emergency power supply unit, with a battery life of ≥12 hours. It can adapt to extreme rescue environments such as high temperature, dense smoke, vibration, and heavy rain.

10. The communication platform for fire truck rescue according to claim 1, characterized in that: The integrated multi-network converged communication module also integrates a wireless signal inversion unit, which can invert the underground space structure and building collapse hazards by analyzing the attenuation and refraction changes of communication signals, and simultaneously push the data to the AI ​​intelligent situation assessment module to provide additional data support for rescue decision-making.

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