Emergency command and dispatch optimization platform based on satellite super-fusion intercommunication digitalization

Abstract

The invention relates to the technical field of emergency communication, in particular to an emergency command and dispatch optimization platform based on satellite super-fusion intercommunication digitization, which is high in reliability, high in throughput and rich in function, and comprises a satellite portable base station used for quickly establishing an emergency command network through a satellite link; the satellite vehicle-mounted base station is provided with a flat plate type vehicle-mounted communication-in-motion antenna; the emergency command portable box is integrated with an audio and video fusion communication command system and can be started by one key; the 4G / 5G mobile base station is used for providing field mobile network coverage; the converged communication system is used for realizing interconnection and intercommunication of multiple communication modes; the security gateway is used for guaranteeing the security and confidentiality of data transmission; the big data processing module is used for collecting and analyzing data from various sensors, cameras and communication equipment and carrying out real-time situation awareness; and the artificial intelligence decision support system performs trend prediction, risk assessment and optimal path planning by using a machine learning algorithm.

Description

Technical Field

[0001] The present invention relates to the technical field of emergency communications, and in particular to an emergency command and dispatch optimization platform based on satellite hyper-convergence and intercommunication digitization. Background Art

[0002] In industries such as electricity, petroleum, transportation, and military, especially in response to natural disasters and emergencies, traditional communication systems are often affected by factors such as geographical environment and infrastructure damage, resulting in failures in command and dispatch information transmission and affecting emergency response efficiency. In recent years, with the development of satellite communication technology, 4G / 5G mobile communication technology, and broadband ad hoc network technology, it has become possible to build an emergency command and dispatch communication platform that can be quickly deployed, has wide coverage, and is fully functional.

[0003] There are some emergency communication solutions on the market, but most of them are limited to a single communication method, or lack effective integration and intercommunication between communication methods, making it difficult to provide stable, efficient and comprehensive communication guarantees in complex and changing emergency environments. In addition, existing emergency communication platforms often require professional technicians to perform complex configuration and operation, which is difficult for non-professionals to use. Summary of the invention

[0004] In order to solve the above technical problems, the present invention provides a method of realizing multi-system and cross-platform interconnection by integrating satellite communication, mobile communication, broadband ad hoc network and converged communication technology, and at the same time combines big data and artificial intelligence to provide a highly reliable, high-throughput and feature-rich emergency command and dispatch optimization platform based on satellite hyper-convergence and digitalization.

[0005] The present invention provides an emergency command and dispatch optimization platform based on satellite hyper-integration and intercommunication digitization, comprising:

[0006] (a) Satellite portable base station, used to quickly establish an emergency command network through satellite links;

[0007] (b) Satellite vehicle base station, equipped with a flat-type vehicle-mounted mobile communication antenna;

[0008] (c) Emergency command portable box, integrated with audio and video fusion communication command system, can be started with one button;

[0009] (d) 4G / 5G mobile base stations, used to provide on-site mobile network coverage;

[0010] (e) Converged communication system, used to achieve interconnection and interoperability of multiple communication modes;

[0011] (f) Security gateway, used to ensure the security and confidentiality of data transmission;

[0012] (g) Big data processing module, which collects and analyzes data from various sensors, cameras, and communication devices for real-time situation awareness;

[0013] (f) Artificial intelligence decision support system, which uses machine learning algorithms for trend prediction, risk assessment and optimal path planning.

[0014] Preferably, the satellite portable base station further comprises:

[0015] (i) Integrated high-gain flat-panel array antenna for quick deployment;

[0016] (ii) Automatic satellite alignment function, realizing automatic satellite search and network access with one click;

[0017] (iii) Support 4G / 5G full network access and provide normal call and Internet access functions;

[0018] (iv) Baseband devices from mainstream manufacturers can be integrated to improve system compatibility.

[0019] Preferably, the flat-type vehicle-mounted in-motion antenna of the satellite vehicle-mounted base station has:

[0020] (i) High-efficiency flat-panel antenna and intelligent stable tracking structure to ensure that the antenna always accurately points to the satellite under high-speed maneuvers and rough and bumpy road conditions;

[0021] (ii) Ultra-low profile design to enhance vehicle road adaptability;

[0022] (iii) Mobile APP operation support to simplify the usage process;

[0023] (iv) Provides stable two-way communication with transmission rates of 64kbps-5Mbps upstream and 64kbps-10Mbps downstream.

[0024] Preferably, the 4G / 5G mobile base station includes but is not limited to:

[0025] (i) Outdoor high-power base station, providing 150Mbps downlink rate and 50Mbps uplink rate;

[0026] (ii) Supports 256 concurrent users and has the flexibility of 5MHz to 20MHz operating bandwidth;

[0027] (iii) Beautiful and compact design, suitable for deployment in various scenarios;

[0028] (iv) Support Beidou positioning synchronization and plug-and-play function based on SON (Self-Organizing Network).

[0029] Preferably, the emergency command portable box has:

[0030] (i) The main structure is made of aviation aluminum-magnesium alloy and uses CAM manufacturing technology to ensure lightness and durability;

[0031] (ii) High molecular weight polyethylene material, which has the characteristics of high and low temperature resistance, wear resistance and high strength;

[0032] (iii) IP67 protection level, suitable for harsh environments;

[0033] (iv) It integrates modules such as sound pickup and amplification, video acquisition and display, centralized monitoring and control, communication and network systems, and satellite communication systems to provide all the functions required for on-site emergency command.

[0034] Preferably, the big data processing module further includes:

[0035] (i) Data collection subsystem, which collects on-site environmental data, equipment status data, personnel location data, etc. in real time through satellite links, 4G / 5G networks, and IoT devices;

[0036] (ii) Data preprocessing subsystem, which uses data cleaning, outlier detection, and feature engineering methods to clean, filter, and format the collected data to ensure data quality;

[0037] (iii) Data storage subsystem, which uses distributed database technologies such as Apache Hadoop and Apache Cassandra to store massive data and support high-speed reading and writing;

[0038] (iv) Data analysis subsystem, which applies statistics, data mining and machine learning algorithms, such as support vector machine (SVM), K-means clustering algorithm and neural network, to identify patterns and trends for situational awareness and early warning.

[0039] Preferably, the artificial intelligence decision support system further includes:

[0040] (i) The training model subsystem uses historical data to train deep learning models, such as deep belief networks (DBNs) and convolutional recurrent neural networks (CRNNs), for pattern recognition and prediction;

[0041] (ii) The real-time analysis subsystem uses online learning methods, such as incremental learning and stream learning algorithms, to dynamically adjust model parameters and make real-time decisions based on real-time data input;

[0042] (iii) Risk assessment subsystem, which uses ensemble learning methods, such as AdaBoost and Bagging, to assess the risk level in the current emergency situation and generate a risk report;

[0043] (iv) The optimal path planning subsystem uses mixed integer programming and genetic algorithm to calculate the optimal scheduling solution based on resource allocation, risk assessment and target priority.

[0044] Preferably, the platform further comprises:

[0045] (i) UAV monitoring system, which uses drones to collect high-definition videos of the scene and works in conjunction with the big data processing module to use computer vision algorithms such as YOLO and Faster R-CNN for real-time analysis and decision-making;

[0046] (ii) Intelligent terminal devices, integrating speech recognition, natural language processing and biometric recognition technologies, using deep learning algorithms such as bidirectional long short-term memory (Bi-LSTM) and attention mechanisms to improve the intelligence level of human-computer interaction;

[0047] (iii) The integrated monitoring and command center uses a large-screen display system to intuitively display the emergency scene situation and assist commanders in making rapid responses.

[0048] Preferably, the platform supports AI-based speech recognition and natural language understanding, and uses deep learning-based speech recognition models, such as CTC loss function and natural language understanding models, such as BERT and ELMo, to implement intelligent voice assistant functions, simplify operating procedures, and improve command and dispatch efficiency.

[0049] Preferably, the platform supports AI-based behavior recognition and sentiment analysis by analyzing video and audio data of on-site personnel and using deep learning algorithms, such as 3D CNN and RNN, to identify abnormal behaviors and emotional changes and prevent accidents in advance. It also supports AI-based predictive maintenance by monitoring equipment operation data and using time series analysis algorithms, such as ARIMA and Prophet, to predict equipment failures, perform maintenance in advance, and reduce emergency response time.

[0050] Compared with the prior art, the present invention has the following beneficial effects:

[0051] By integrating satellite communications, 4G / 5G mobile communications, converged communication systems, big data and AI technologies, a comprehensive emergency command and dispatch platform has been built, which has significantly improved the speed and efficiency of emergency response, and provided reliable communication guarantee, especially when traditional communication facilities are damaged. DETAILED DESCRIPTION

[0052] The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0053] The present invention provides an emergency command and dispatch optimization platform based on satellite hyper-integration and intercommunication digitization, comprising:

[0054] (a) Satellite portable base station, used to quickly establish an emergency command network through satellite links;

[0055] (b) Satellite vehicle base station, equipped with a flat-type vehicle-mounted mobile communication antenna;

[0056] (c) Emergency command portable box, integrated with audio and video fusion communication command system, can be started with one button;

[0057] (d) 4G / 5G mobile base stations, used to provide on-site mobile network coverage;

[0058] (e) Converged communication system, used to achieve interconnection and interoperability of multiple communication modes;

[0059] (f) Security gateway, used to ensure the security and confidentiality of data transmission;

[0060] (g) Big data processing module, which collects and analyzes data from various sensors, cameras, and communication devices for real-time situation awareness;

[0061] (f) Artificial intelligence decision support system, which uses machine learning algorithms for trend prediction, risk assessment and optimal path planning;

[0062] By integrating satellite communications, 4G / 5G mobile communications, converged communication systems, big data and AI technologies, a comprehensive emergency command and dispatch platform has been built, which has significantly improved the speed and efficiency of emergency response, and provided reliable communication guarantee, especially when traditional communication facilities are damaged.

[0063] As a preferred embodiment of the above embodiment, the satellite portable base station further comprises:

[0064] (i) Integrated high-gain flat-panel array antenna for quick deployment;

[0065] (ii) Automatic satellite alignment system, which can realize automatic satellite search and network access with one click;

[0066] (iii) 4G / 5G full network access devices, supporting 4G / 5G full network access functions and providing normal call and Internet access functions;

[0067] (iv) Baseband devices, which improve system compatibility by integrating the tethered devices of mainstream manufacturers;

[0068] The integrated design and automatic alignment of the satellite portable base station make it possible to quickly establish a communication network in remote or disaster areas, reducing deployment time and reliance on professional technicians. Support for 4G / 5G full network access means higher data transmission rates and wider device compatibility, improving the quality and scope of emergency communications.

[0069] As a preferred embodiment of the above, the flat-type vehicle-mounted in-motion antenna of the satellite vehicle-mounted base station has the following characteristics:

[0070] (i) High-efficiency flat-panel antenna and intelligent stable tracking structure to ensure that the antenna always accurately points to the satellite under high-speed maneuvers and rough and bumpy road conditions;

[0071] (ii) Ultra-low profile design to enhance vehicle road adaptability;

[0072] (iii) Mobile APP operation support to simplify the usage process;

[0073] (iv) Provide stable two-way communication with transmission rates of 64kbps-5Mbps upstream and 64kbps-10Mbps downstream;

[0074] The high-efficiency flat antenna and intelligent stable tracking structure of the vehicle-mounted base station ensure stable communication of the vehicle while in motion. The ultra-low profile design reduces wind resistance and space occupancy. The mobile phone APP operation simplifies the control process of the equipment, which overall enhances the mobility and convenience of emergency communications.

[0075] As a preferred embodiment of the above, the 4G / 5G mobile base station includes but is not limited to the following functions:

[0076] (i) Outdoor high-power base station, providing 150Mbps downlink rate and 50Mbps uplink rate;

[0077] (ii) Supports 256 concurrent users and has the flexibility of 5MHz to 20MHz operating bandwidth;

[0078] (iii) Beautiful and compact design, suitable for deployment in various scenarios;

[0079] (iv) Integrated Beidou positioning module, plug-and-play function based on SON;

[0080] The high power and high concurrency capabilities of 4G / 5G mobile base stations ensure the coverage and stability of on-site communications. Beidou positioning synchronization and SON plug-and-play functions make rapid deployment and automatic configuration of base stations a reality, greatly shortening the emergency response time.

[0081] As a preferred embodiment of the above, the emergency command portable box has:

[0082] (i) The main structure of the box is made of aviation aluminum-magnesium alloy and uses CAM manufacturing technology to ensure lightness and durability;

[0083] (ii) High molecular weight polyethylene material, which has the characteristics of high and low temperature resistance, wear resistance and high strength;

[0084] (iii) IP67 protection level, suitable for harsh environments;

[0085] (iv) It integrates modules such as sound pickup and amplification, video acquisition and display, centralized monitoring and control, communication and network systems, and satellite communication systems to provide all the functions required for on-site emergency command;

[0086] The sturdy design and high protection level of the emergency command portable box enable it to work normally in harsh environments. The integrated multiple functional modules ensure efficient and comprehensive on-site command, and the CAM manufacturing process improves the manufacturing accuracy and reliability of the equipment.

[0087] As a preferred embodiment of the above, the big data processing module further includes:

[0088] (i) Data collection subsystem, which collects on-site environmental data, equipment status data, personnel location data, etc. in real time through satellite links, 4G / 5G networks, and IoT devices;

[0089] (ii) Data preprocessing subsystem, which uses conventional data cleaning, outlier detection, and feature engineering methods to clean, filter, and format the collected data to ensure data quality;

[0090] (iii) Data storage subsystem, which uses distributed database technologies such as Apache Hadoop and Apache Cassandra to store massive data and support high-speed reading and writing;

[0091] (iv) Data analysis subsystem, which applies statistics, data mining and machine learning algorithms, such as support vector machine (SVM), K-means clustering algorithm and neural network, to identify patterns and trends for situation awareness and early warning;

[0092] The real-time collection and analysis capabilities of the big data processing module enable the emergency command center to instantly understand the on-site situation. The preprocessing subsystem ensures data quality, distributed storage supports rapid retrieval of large amounts of data, and the data analysis subsystem provides a scientific basis for decision-making.

[0093] As a preferred embodiment of the above, the artificial intelligence decision support system further includes:

[0094] (i) A training model subsystem that uses historical data to train deep learning models, such as deep belief networks (DBNs) and convolutional recurrent neural networks (CRNNs) in the prior art, for pattern recognition and prediction;

[0095] (ii) The real-time analysis subsystem uses online learning methods, such as incremental learning and stream learning algorithms, to dynamically adjust model parameters and make real-time decisions based on real-time data input;

[0096] (iii) Risk assessment subsystem, which uses ensemble learning methods, such as AdaBoost and Bagging, to assess the risk level in the current emergency situation and generate a risk report;

[0097] (iv) the optimal path planning subsystem, which uses mixed integer programming and genetic algorithm to calculate the optimal scheduling solution based on resource allocation, risk assessment and target priority;

[0098] The artificial intelligence decision support system uses deep learning models to conduct trend prediction and risk assessment, dynamically adjust strategies, and provide optimal path planning, which significantly improves the accuracy and response speed of decision-making and reduces the risks of emergency operations.

[0099] As a preferred embodiment of the above, the platform further comprises:

[0100] (i) UAV monitoring system, which uses drones to collect high-definition videos of the scene and works in conjunction with the big data processing module to use computer vision algorithms such as YOLO and Faster R-CNN for real-time analysis and decision-making;

[0101] (ii) Intelligent terminal devices, which integrate speech recognition, natural language processing, and biometric recognition modules, use existing deep learning algorithms, such as bidirectional long short-term memory networks (Bi-LSTM) and attention mechanisms, to improve the intelligence level of human-computer interaction;

[0102] (iii) Integrated monitoring and command center, which uses a large-screen display system to visually display the emergency scene situation and assist commanders in making rapid responses;

[0103] The drone monitoring system works in conjunction with the big data module to achieve real-time analysis of on-site high-definition video. The voice recognition and biometric recognition technology of smart terminal devices can identify users' voice, fingerprints, irises, facial features and other features, improving user experience. The large-screen display of the integrated monitoring and command center enhances the decision makers' intuitive perception.

[0104] As a preferred embodiment of the above, the platform supports AI-based speech recognition and natural language understanding, and uses existing deep learning-based speech recognition models, such as CTC loss function and natural language understanding models, such as BERT and ELMo, to implement intelligent voice assistant functions, simplify operation procedures, and improve command and dispatch efficiency;

[0105] AI-based speech recognition and natural language understanding technologies enable the intelligent voice assistant function, simplify the operation process, and improve the efficiency and convenience of interaction with the platform.

[0106] As a preferred embodiment of the above, the platform supports AI-based behavior recognition and sentiment analysis. By analyzing the video and audio data of on-site personnel, the platform uses existing deep learning algorithms, such as 3D CNN and RNN, to identify abnormal behaviors and emotional changes, and prevent accidents in advance. It also supports AI-based predictive maintenance. By monitoring equipment operation data, the platform uses time series analysis algorithms, such as ARIMA and Prophet, to predict equipment failures, perform maintenance in advance, and reduce emergency response time.

[0107] AI’s behavior recognition and sentiment analysis technologies help prevent accidents, while predictive maintenance predicts failures by monitoring equipment operating data, thereby reducing equipment failure rates and maintenance costs and ensuring the stable operation of emergency communication systems.

[0108] The core value of the emergency command and dispatch optimization platform based on satellite hyper-integrated digital communication of the present invention lies in the integration of satellite communication, 4G / 5G mobile communication, converged communication system, big data processing and artificial intelligence technology, aiming to solve the challenges faced by traditional emergency communication systems in complex environments, such as communication interruption, complex operation and single function.

[0109] By integrating satellite portable base stations and vehicle-mounted base stations, the platform can quickly establish a stable and continuous communication network at any location, ensuring timely transmission of information even when infrastructure is damaged. The combination of 4G / 5G mobile base stations and Beidou positioning synchronization functions enables plug-and-play rapid deployment and enhances on-site communication coverage. The multifunctional integration of the emergency command portable box ensures efficient and comprehensive on-site command.

[0110] The big data processing module collects and analyzes on-site data in real time, providing an accurate information basis for the artificial intelligence decision support system, which uses advanced machine learning algorithms for situational awareness, risk assessment and optimal scheduling, greatly improving the accuracy and response speed of decision-making. The coordinated work of drone monitoring, intelligent terminal equipment and the integrated monitoring and command center enhances the visual management and human-computer interaction experience of the site, allowing commanders to intuitively and quickly grasp the on-site situation.

[0111] In general, the technical solution of the present invention has built an efficient, intelligent and easy-to-operate emergency command and dispatch platform through deep integration across technical fields, which has significantly improved the emergency response capability and command and dispatch efficiency, and provided strong technical support for emergency management and response to natural disasters and emergencies in industries such as electricity, petroleum, transportation, and military, and has realized rapid deployment of emergency communications, stable communications, intelligent decision-making, and efficient dispatch.

[0112] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. An emergency command and dispatch optimization platform based on satellite hyper-integration and intercommunication digitization, characterized in that: include: (a) Satellite portable base station, used to quickly establish an emergency command network through satellite links; (b) Satellite vehicle base station, equipped with a flat-type vehicle-mounted mobile communication antenna; (c) Emergency command portable box, integrated with audio and video fusion communication command system, can be started with one button; (d) 4G / 5G mobile base stations, used to provide on-site mobile network coverage; (e) Converged communication system, used to achieve interconnection and interoperability of multiple communication modes; (f) Security gateway, used to ensure the security and confidentiality of data transmission; (g) Big data processing module, which collects and analyzes data from various sensors, cameras, and communication devices for real-time situation awareness; (f) Artificial intelligence decision support system, which uses machine learning algorithms for trend prediction, risk assessment and optimal path planning.

2. According to claim 1, an emergency command and dispatch optimization platform based on satellite hyper-integration and intercommunication digitization is characterized in that: The satellite portable base station comprises: (i) Integrated high-gain flat-panel array antenna; (ii) Automatic pointing system; (iii) 4G / 5G full network equipment; (iv) Baseband equipment.

3. According to claim 1, an emergency command and dispatch optimization platform based on satellite hyper-integration and intercommunication digitization is characterized in that: The flat-plate vehicle-mounted mobile communication antenna of the satellite vehicle-mounted base station is provided with a high-efficiency flat-plate antenna and an intelligent and stable tracking structure.

4. According to claim 1, an emergency command and dispatch optimization platform based on satellite hyper-integration and intercommunication digitization is characterized in that: The 4G / 5G mobile base station is an outdoor high-power base station that supports 256 concurrent users and has the flexibility of 5MHz to 20MHz working bandwidth; it is integrated with a Beidou positioning module and has a plug-and-play function based on SON.

5. According to claim 1, the emergency command and dispatch optimization platform based on satellite hyper-integration and intercommunication digitization is characterized in that: The portable emergency command box integrates sound pickup and amplification, video acquisition and display, centralized monitoring and control, communication and network systems, and satellite communication systems; the box structure is made of aviation aluminum-magnesium alloy material and adopts CAM manufacturing technology.

6. According to claim 1, an emergency command and dispatch optimization platform based on satellite hyper-integration and intercommunication digitization is characterized in that: The big data processing module further includes: (i) Data collection subsystem, which collects on-site environmental data, equipment status data, and personnel location data in real time through satellite links, 4G / 5G networks, and IoT devices; (ii) Data preprocessing subsystem, which uses data cleaning, outlier detection, and feature engineering methods to clean, filter, and format the collected data to ensure data quality; (iii) Data storage subsystem, which uses distributed database technology to store massive amounts of data and supports high-speed reading and writing; (iv) Data analysis subsystem, which applies statistics, data mining and machine learning algorithms to identify patterns and trends for situational awareness and early warning.

7. According to claim 1, an emergency command and dispatch optimization platform based on satellite hyper-integration and intercommunication digitization is characterized in that: The artificial intelligence decision support system further includes: (i) Training model subsystem, using historical data to train deep learning models for pattern recognition and prediction; (ii) A real-time analysis subsystem that uses online learning methods to dynamically adjust model parameters and make real-time decisions based on real-time data input; (iii) Risk assessment subsystem, which uses ensemble learning methods to assess the risk level in the current emergency situation and generate a risk report; (iv) The optimal path planning subsystem uses mixed integer programming and genetic algorithm to calculate the optimal scheduling solution based on resource allocation, risk assessment and target priority.

8. According to claim 1, the emergency command and dispatch optimization platform based on satellite hyper-integration and intercommunication digitization is characterized in that: The platform includes: (i) UAV monitoring system, which uses drones to collect high-definition videos of the scene, works in conjunction with the big data processing module, and uses computer vision algorithms to conduct real-time analysis and decision-making; (ii) Intelligent terminal devices, integrating voice recognition, natural language processing and biometric recognition modules, using deep learning algorithms to improve the intelligence level of human-computer interaction; (iii) The integrated monitoring and command center uses a large-screen display system to intuitively display the emergency scene situation and assist commanders in making rapid responses.

9. The emergency command and dispatch optimization platform based on satellite hyper-integration and intercommunication digitization according to claim 1 is characterized in that: The platform integrates AI-based speech recognition and natural language understanding modules, and uses a deep learning-based speech recognition model to implement intelligent voice assistant functions.

10. The emergency command and dispatch optimization platform based on satellite hyper-integration and intercommunication digitization according to claim 1 is characterized in that: The platform integrates AI-based behavior recognition and sentiment analysis modules. By analyzing the video and audio data of on-site personnel and using deep learning algorithms, it can identify abnormal behaviors and emotional changes, prevent accidents in advance, and support AI-based predictive maintenance. By monitoring equipment operation data and using time series analysis algorithms, it can predict equipment failures.