A power heterogeneous network fusion emergency communication device based on space Internet

Abstract

This invention relates to an emergency communication device for power heterogeneous networks based on space internet, comprising: a power heterogeneous network fusion module and a space internet communication module. These modules are embedded into an unmanned aerial vehicle (UAV) platform via an emergency communication embedded device. The power heterogeneous network fusion module integrates and processes data from different networks, enabling cross-network communication and data transmission. The power heterogeneous network fusion module encrypts data before outputting it to the space internet communication module, which receives and transmits space internet wireless communication signals. After autonomous networking, the space internet communication module sends the data from the power heterogeneous network fusion module to the backend command center via a path-determined link for emergency response decision-making. This invention improves the performance and reliability of power emergency communication systems.

Description

Technical Field

[0001] This invention belongs to the field of heterogeneous network emergency communication and fuzzy machine learning technology, and relates to a power heterogeneous network fusion emergency communication device, especially a power heterogeneous network fusion emergency communication device based on space Internet. Background Technology

[0002] The power system is a vital foundation of modern society. However, due to the wide coverage, long routes, and open deployment of transmission lines, equipment is highly susceptible to failure and vulnerable to natural disasters, human-caused damage, and other factors. Therefore, the construction of emergency communication systems is of paramount importance. Establishing an emergency communication system can help power system stakeholders build channels for emergency contact and information transmission, enabling timely emergency measures to be taken and ensuring the safe and reliable operation of the power system.

[0003] In the current technological context, although the power heterogeneous network convergence emergency communication device has improved the efficiency and reliability of power emergency communication to a certain extent, it still has some key defects and shortcomings, which limit its application capability and response speed in complex environments.

[0004] The main problems include: 1. Limited communication coverage: Existing power heterogeneous network converged emergency communication devices have limited coverage, especially in remote areas or underground facilities, making it difficult to achieve comprehensive and stable signal coverage. 2. Low communication efficiency: In emergency situations, existing power heterogeneous network converged emergency communication devices cannot provide sufficiently high communication bandwidth and data transmission rates, limiting the ability of emergency response teams to collect and transmit critical information. 3. Insufficient real-time performance: In rapidly changing emergency environments, existing power heterogeneous network converged emergency communication devices cannot provide sufficiently fast information exchange speeds, leading to delays in decision-making and response. 4. Weak information security: Existing power heterogeneous network converged emergency communication devices lack sufficient information encryption and security authentication mechanisms, which exposes transmitted sensitive data (such as power grid operating status and fault information) to the risk of leakage and malicious use. 5. Poor equipment compatibility and interoperability: Existing power heterogeneous network converged emergency communication devices have compatibility issues with different types of power heterogeneous networks, resulting in low efficiency in cross-network communication. 6. Complex Deployment and Maintenance: Existing emergency communication devices integrated into heterogeneous power grids require complex technical support and maintenance, increasing the difficulty of deployment and operation in emergency situations. 7. High Cost and Resource Consumption: Building and maintaining a widespread emergency communication network involves high costs and resource consumption. Summary of the Invention

[0005] The purpose of this invention is to overcome the shortcomings of the prior art and propose an emergency communication device based on the space Internet that integrates heterogeneous power networks, which can improve the performance and reliability of power emergency communication systems.

[0006] The present invention solves its practical problem by adopting the following technical solution:

[0007] An emergency communication device based on a space-internet-based heterogeneous power network integration includes a heterogeneous power network integration module and a space-internet communication module. These modules are embedded into an unmanned aerial vehicle (UAV) platform via an emergency communication embedded device. The heterogeneous power network integration module receives environmental information, alarm information, and notification information from wired power networks, Bluetooth, LoRa, and sensor terminals, integrating and processing data from different networks to achieve cross-network communication and data transmission. The output of the heterogeneous power network integration module is connected to the space-internet communication module, encrypting and outputting the data to the space-internet communication module. This module receives narrowband and broadband satellite communication data and receives and transmits space-internet wireless communication signals. After autonomous networking, it sends the data from the heterogeneous power network integration module to the backend command center via a path-determined link for emergency response decision-making and data processing, thus achieving emergency communication functionality.

[0008] Furthermore, the power heterogeneous network fusion module includes: a terminal interface module, a data processing module, a data encryption module, an output interface module, and a security log monitoring module. The terminal interface integrates multiple terminal interfaces, including wired network, Bluetooth, and LoRa narrowband signal, and transmits terminal data to the data processing module. The data processing module obtains key and valid data, encrypts the data, and outputs it through the output interface module. The security log module is responsible for monitoring and statistically analyzing the working status and alarm information of all interfaces and sub-modules in the power heterogeneous network fusion module.

[0009] Furthermore, the emergency communication embedded device is used to provide physical support for the power heterogeneous network fusion module, the space Internet communication module, and the power supply module, facilitating deployment on various carrier platforms and data access.

[0010] Furthermore, the space internet communication module includes: a network communication module, a service control module, a fuzzy logic vector machine module, a network virtualization module, and a relay networking module. The network communication module integrates and accesses networks and data from broadband satellites, narrowband satellites, long-distance relay networks, and heterogeneous power grid networks. The network virtualization module virtualizes and maps the various heterogeneous networks to achieve cross-domain integrated networking. The fuzzy logic vector machine module provides algorithms and analysis based on fuzzy logic vector machines, offering network communication decision-making and optimization schemes. The relay networking module enables self-organizing network access to long-distance relay networks, facilitating the construction of emergency networks in power grid emergency response environments. The service control module uses fuzzy logic vector machine technology to control the data and communication schemes of corresponding services and extends network coverage through the network communication module.

[0011] Furthermore, the data encryption module employs a lightweight symmetric encryption algorithm to encrypt communication data, and its specific encryption steps include:

[0012] (1) Randomization is introduced into the encryption method to generate the key K;

[0013] (2) The data sender obtains unencrypted plaintext data P from multiple terminals, uses the AES encryption function, let the AES encryption function be E, then the ciphertext C = E(K,P), the plaintext data P is encrypted by the AES encryption function E, and after multiple rounds of process, the ciphertext C is obtained; the encrypted data is sent to the data receiver through the network;

[0014] (3) After receiving the ciphertext C, the data receiver uses the encryption function E to deduce the plaintext P from the ciphertext C, thus completing the data encryption process.

[0015] Moreover, the fuzzy logic vector machine module applies fuzzy logic and support vector machine to manage heterogeneous network deployment. Based on fuzzy set theory, the fuzzy logic vector machine module uses fuzzy logic to process uncertain and fuzzy information in the power emergency communication system. It monitors the node location, communication load and equipment status information in the system parameters, and transforms this information into fuzzy sets, and then transforms it into specific outputs through mapping relationships.

[0016] The mapping relationship is as follows:

[0017]

[0018] in, This represents the fuzzy set generated by various fuzzy factors in the power emergency environment. The expression needs to map out a clear set, that is, the weight value to be sought.

[0019] By extracting and selecting feature vector matrices from the data of the power emergency communication system, fuzzy logic is applied to establish a mapping relationship between the system state and communication support services. Its mathematical form is expressed as follows:

[0020] T = {(x1,y1),(x2,y2),…,(x N ,y N ))}

[0021] Each x and y represents the fuzzy result of a communication parameter, forming a dataset.

[0022] Fuzzy logic vector machines are used for classifying and analyzing communication signals to optimize transmission efficiency and handle urgent communication tasks. Their objective function can be expressed as the following linear equation:

[0023] w t Φ(x)+b=0

[0024] Where t represents the number of fuzzy parameter types, w t Let represent a t-dimensional vector, Φ(x) be the kernel function obtained by transforming x by one dimension, and b be a real number; when the above expression is extended to the t-dimensional dimension, the distance d from each support vector to the hyperplane can be written as:

[0025]

[0026] According to any data point (x) i y i If the minimum distance to the desired hyperplane is found in the partitioning hyperplane, then the optimization problem is transformed into:

[0027]

[0028] st g i (w,b)=1-y i (w T x i +b)≤0,i=1,2,...,n

[0029] This leads to the construction of the vector machine training model.

[0030] Furthermore, the network virtualization module utilizes virtualization technology to separate network functions from dedicated hardware. The input of the network virtualization module is connected to the output of the service control module, which obtains the network device status information transmitted by the service control module, performs virtualization processing to obtain an abstract virtual network device, and then transmits the virtualized network device status information to the service control module.

[0031] Advantages and beneficial effects of the present invention:

[0032] 1. This invention proposes an emergency communication device based on a space internet-integrated heterogeneous power network. The device comprises: a heterogeneous power network integration module, a space internet communication module, and an emergency communication embedded device module. The heterogeneous power network integration module integrates and processes data from different networks, enabling cross-network communication and data transmission. The space internet communication module receives and transmits space internet wireless communication signals and possesses autonomous networking capabilities. The emergency communication embedded device module integrates with various unmanned platforms to support the construction of a three-dimensional, multi-dimensional network. This invention utilizes network function virtualization technology to perform heterogeneous network integration and resource scheduling, realizing a heterogeneous space interconnection network for the power emergency field. It employs fuzzy support vector machines to dynamically adjust communication parameters and network topology, achieving flexible communication configuration and optimization. This device can enable rapid deployment of communication and long-distance information transmission in emergency situations such as power system failures or natural disasters, ensuring the emergency needs of power systems and rescue communication systems. This invention represents a significant technological advancement in the field of heterogeneous power network-integrated emergency communication, providing a new solution for the stability and efficiency of power emergency communication systems.

[0033] 2. Comprehensive communication coverage: By integrating multiple communication technologies and networks, such as satellite communication and self-organizing network communication, this invention achieves a wider signal coverage range. Even in special environments such as remote areas, underground facilities, and emergency response, the device can be quickly deployed or mounted on an unmanned platform to rapidly expand to areas that are not currently covered by the network, and can provide stable communication services.

[0034] 3. Highly efficient communication capabilities: This invention employs advanced communication technology and fuzzy logic algorithms to make data transmission method decisions based on different data content, providing communication bandwidth and data transmission rate, ensuring that emergency response teams can quickly collect and transmit critical information in emergency situations.

[0035] 4. Real-time communication guarantee: By optimizing communication protocols and network architecture, integrating multiple communication links, and aggregating access from multiple terminals, this invention achieves faster information exchange speed and greatly reduces decision-making and response delays.

[0036] 5. High level of information security: This invention employs advanced encryption and security authentication technologies to effectively protect transmitted sensitive data and prevent information leakage and malicious use.

[0037] 6. Excellent equipment compatibility and interoperability: Through standardized design and protocols, this invention integrates multiple communication links and allows access from multiple terminals. The device can be deployed quickly and can also be easily mounted on various unmanned platforms, realizing seamless communication between different types of heterogeneous power networks and improving the efficiency of cross-network communication.

[0038] 7. Simple deployment and maintenance: The present invention adopts a modular and intelligent design, which simplifies the deployment and maintenance process of the equipment and greatly reduces the difficulty of operation.

[0039] 8. Cost-effectiveness: Through optimized design and resource management, this invention can quickly build emergency networks in different scenarios, achieve network coverage and diversified data transmission, reduce construction and maintenance costs, and has higher cost-effectiveness. Attached Figure Description

[0040] Figure 1 This is a structural diagram of the emergency communication device for the convergence of heterogeneous power networks based on the space internet, as described in this invention.

[0041] Figure 2 This is a structural diagram of the power heterogeneous network fusion module of the present invention;

[0042] Figure 3 This is a schematic diagram of the emergency communication embedded device module of the present invention;

[0043] Figure 4 This is a flowchart of the lightweight encryption algorithm processing of the present invention;

[0044] Figure 5 This is a schematic diagram of the space internet communication module of the present invention;

[0045] Figure 6 This is a schematic diagram illustrating the application of the network function virtualization technology of the present invention;

[0046] Figure 7 This is the training diagram of the fuzzy logic vector machine of the present invention. Detailed Implementation

[0047] The embodiments of the present invention will be further described in detail below with reference to the accompanying drawings:

[0048] An emergency communication device for power heterogeneous networks based on space internet, such as Figure 1 As shown, it includes: a power heterogeneous network fusion module and a space internet communication module. The power heterogeneous network fusion module and the space internet communication module are installed on the UAV airborne platform in an embedded integration manner through an emergency communication embedded device.

[0049] The input terminal of the power heterogeneous network fusion module receives environmental information, alarm information, and notification information from wired power networks, Bluetooth, LoRa, and sensor terminals. It integrates and processes data from different networks to achieve cross-network communication and data transmission.

[0050] The output of the power heterogeneous network fusion module is connected to the space internet communication module. It is used to encrypt and output the environmental information, alarm information and notification information of the terminals of wired power networks, Bluetooth, LoRa, and sensors to the space internet communication module. The space internet communication module is used to receive narrowband and broadband satellite communication data, and to receive and send space internet wireless communication signals. After autonomous networking, it sends the data of the power heterogeneous network fusion module to the back-end command center through the link after path decision, so as to carry out emergency plan decision-making and data processing, and realize the function of emergency communication.

[0051] In this embodiment, as Figure 2 As shown, the power heterogeneous network fusion module includes: a terminal interface module, a data processing module, a data encryption module, an output interface module, and a security log monitoring module. The terminal interface integrates multiple terminal interfaces, including wired network, Bluetooth, and LoRa narrowband signal, and transmits terminal data to the data processing module. The data processing module obtains key and valid data, encrypts the data, and outputs it through the output interface module. The security log module is responsible for monitoring and statistically analyzing the working status and alarm information of all interfaces and sub-modules in the power heterogeneous network fusion module.

[0052] In this embodiment, as Figure 3 As shown, the emergency communication embedded device is used to provide physical support for the power heterogeneous network fusion module, the space Internet communication module and the power supply module, which can be conveniently deployed on various carrier platforms and data access.

[0053] In this embodiment, as Figure 5 As shown, the space internet communication module includes: a network communication module, a service control module, a fuzzy logic vector machine module, a network virtualization module, and a relay networking module;

[0054] The network communication module will integrate the network and data of broadband satellite, narrowband satellite, long-distance relay networking and power heterogeneous network fusion module;

[0055] The network virtualization module virtualizes and maps various heterogeneous networks to achieve cross-domain converged networking;

[0056] The fuzzy logic vector machine module provides algorithms and analysis based on fuzzy logic vector machines, and offers network communication decision-making and optimization schemes.

[0057] The relay networking module enables self-organizing network access to long-distance relay networks. Long-distance relay networks have high resilience and stability, and emergency networks can be constructed in power emergency rescue environments by accessing this network.

[0058] The business control module uses fuzzy logic vector machine technology to control the data and communication schemes of corresponding services, and expands the network coverage through the network communication module to improve the real-time performance, reliability and stability of data transmission.

[0059] In this embodiment, as Figure 4 As shown, the data encryption module uses a lightweight symmetric encryption algorithm to encrypt communication data, and its specific encryption steps include:

[0060] (1) Randomization is introduced into the encryption method to generate the key K;

[0061] (2) The data sender obtains unencrypted plaintext data P from multiple terminals, uses the AES encryption function, let the AES encryption function be E, then the ciphertext C = E(K,P), the plaintext data P is encrypted by the AES encryption function E, and after multiple rounds of process, the ciphertext C is obtained; the encrypted data is sent to the data receiver through the network;

[0062] (3) After receiving the ciphertext C, the data receiver uses the encryption function E to deduce the plaintext P from the ciphertext C, thus completing the data encryption process.

[0063] In this embodiment, the algorithm corresponds to the encryption algorithm logic of the data encryption module in the power heterogeneous network fusion module; the encryption algorithm adopts lightweight symmetric encryption technology, is based on the Advanced Encryption Standard (AES), and is defined as (C=E(K,P)), where plaintext (P), key (K) and ciphertext (C) are parameters;

[0064] In the algorithm design, both the key length and block length are 128 bits, and the number of encryption rounds is set to 10. To enhance security, the algorithm introduces randomization factors into the key and initialization vector, using a random generator to generate random keys and initialization vectors. Simultaneously, the lookup table (S-box) used to replace input bytes is optimized to avoid the security risks associated with using a fixed lookup table, thereby ensuring the confidentiality and security of the communication data.

[0065] In this embodiment, the power heterogeneous network fusion emergency communication device based on space Internet can realize the establishment of a multi-hop wireless relay transmission network between substations, various mobile terminal devices and satellites in emergency communication scenarios, and realize data interaction between substations and remote emergency command centers.

[0066] In this embodiment, the fuzzy logic vector machine module applies fuzzy logic and support vector machine to manage heterogeneous network deployment. Based on fuzzy set theory, the fuzzy logic vector machine module uses fuzzy logic to process uncertain and fuzzy information in the power emergency communication system. It monitors the node location, communication load and equipment status information in the system parameters, and converts this information into fuzzy sets, and then converts it into specific outputs through mapping relationships.

[0067] The mapping relationship is as follows:

[0068]

[0069] in, This represents the fuzzy set generated by various fuzzy factors in the power emergency environment. The expression needs to map out a clear set, that is, the weight value to be sought.

[0070] By extracting and selecting feature vector matrices from the data of the power emergency communication system, fuzzy logic is applied to establish a mapping relationship between the system state and communication support services. Its mathematical form is expressed as follows:

[0071] T = {(x1,y1),(x2,y2),…,(x N ,g N ))}

[0072] Each x and y represents the fuzzy result of a communication parameter, forming a dataset.

[0073] Fuzzy logic vector machines are used for classifying and analyzing communication signals to optimize transmission efficiency and handle urgent communication tasks. Their objective function can be expressed as the following linear equation:

[0074] w t Φ(x)+b=0

[0075] Where t represents the number of fuzzy parameter types, w t Let represent a t-dimensional vector, Φ(x) be the kernel function obtained by transforming x by one dimension, and b be a real number; when the above expression is extended to the t-dimensional dimension, the distance d from each support vector to the hyperplane can be written as:

[0076]

[0077] According to any data point (x) i y i If the minimum distance to the desired hyperplane is found in the partitioning hyperplane, then the optimization problem can be transformed into:

[0078]

[0079] st gi (w,b)=1-y i (w T x i +b)≤0,i=1,2,...,n

[0080] This leads to the construction of the vector machine training model.

[0081] In this embodiment, the network virtualization module uses virtualization technology to separate network functions from dedicated hardware. The input of the network virtualization module is connected to the output of the service control module to obtain the network device status information transmitted by the service control module, perform virtualization processing to obtain an abstract virtual network device, and then transmit the virtualized network device status information to the service control module.

[0082] The functions and roles of each module within the device are further explained below:

[0083] 1. Power heterogeneous network integration module

[0084] The power heterogeneous network fusion module includes a terminal access module, a data processing module, a data encryption module, and an output interface module. The descriptions of each module are as follows:

[0085] (1) Terminal Interface Module: Supports access to various terminal devices and provides flexible and diverse connection methods, including wired power networks, Bluetooth, LoRa, sensors, etc. The terminal interface module is connected to the input interface of the data processing module, transmitting the acquired temperature and humidity information, air pressure information, power meter information, alarm notification information, etc. to the data processing module. The log output interface of the terminal interface module is connected to the input of the safety log monitoring module, transmitting the module's operating information, alarm information, and abnormal information to the safety log monitoring module.

[0086] (2) Data Processing Module: This module efficiently processes data from different signal sources to ensure signal integrity and accuracy. The input interface of the data processing module connects to the output interface of the terminal interface module, acquiring various terminal data transmitted by the terminal interface module and performing data preprocessing and filtering. The output interface of the data processing module connects to the input interface of the data encryption module, transmitting the filtered data to the data encryption module. The log output interface of the data processing module connects to the input of the security log monitoring module, transmitting the module's operational information, alarm information, and anomaly information to the security log monitoring module.

[0087] (3) Data encryption module: Employs advanced encryption algorithms (such as...) Figure 4As shown, this ensures data security during transmission. The input interface of the data encryption module is connected to the output interface of the data processing module to acquire and encrypt data content; the output interface of the data encryption module is connected to the input of the output module to transmit the encrypted data to the output interface module. The log output interface of the data encryption module is connected to the input of the security log monitoring module to transmit the module's operating information, alarm information, and abnormal information to the security log monitoring module.

[0088] (4) Output Interface Module: Employs a specific data interface, allowing other modules to obtain data output through this interface. The input of the output interface module is connected to the output of the data encryption module to obtain various encrypted data information and transmit the data to the space internet communication module. The log output interface of the output interface module is connected to the input of the security log monitoring module, transmitting the module's operation information, alarm information, and abnormal information to the security log monitoring module.

[0089] (5) Security Log Monitoring Module: Monitors the communication process in real time, records and analyzes abnormal behavior to maintain the overall security of the system. The input of the security log monitoring module is connected to the log output interface of other sub-modules, and it collects the operating information, alarm information, and abnormal information of each module to generate monitoring logs.

[0090] 2. Space Internet Communication Module

[0091] The space internet communication module includes a network communication module, a service control module, a fuzzy logic vector machine module, a relay networking module, and a network virtualization module, such as... Figure 5 As shown, by integrating broadband satellite links, narrowband satellite links, and power heterogeneous network fusion modules, combined with fuzzy logic vector machines and network virtualization technology, the communication mode is optimized.

[0092] (1) Network communication module: integrates multiple network communication links, including the following:

[0093] 1) Narrowband satellite communication: It can handle long-distance data transmission under low bandwidth, such as sensor information, Internet of Things information, environmental information, etc., and is suitable for remote areas or post-disaster reconstruction environments.

[0094] 2) Broadband satellite communication: capable of handling long-distance data transmission under high bandwidth, such as rescue coordination, disaster monitoring, medical images, etc.

[0095] 3) Power heterogeneous network fusion module: This module enables rapid and effective access to various information from different terminals and sites in emergency scenarios.

[0096] 4) Long-distance relay networking: Connecting remote command centers using similar equipment to form a long-distance relay network.

[0097] This module integrates into a satellite communication module and communication protocols to achieve access and transmission with narrowband and broadband satellites. Through organic integration with broadband communication support devices and relay terminals, it enables data reception, processing, and transmission, providing reliable technical support for remote data transmission. Through security measures and an autonomous and controllable management and control system, it ensures the security and reliability of data transmission.

[0098] The input terminal of the network communication module is connected to the output interface of the power heterogeneous network fusion module and the communication interface of the broadband and narrowband satellite communication equipment to acquire meteorological information, substation status information, management configuration information, and communication data transmitted by various modules or devices. The output interface of the network communication module is connected to the input interface of the service control module to transmit the acquired information to the service control module. The input and output interfaces of the network communication module are connected to the output interface of the service control module to send the data transmitted from the service control module through a specific link.

[0099] (2) Service Control Module: Combining network virtualization and fuzzy logic vector machine, this module automatically adjusts network configuration and communication strategies based on real-time data. The data input interface of the service control module is connected to the output interface of the network communication module to acquire and analyze various network data. The data output of the service control module is connected to the output interface of the network communication module to transmit the processed data to the network communication module.

[0100] (3) Network Virtualization Module: Utilizing virtualization technology, network functions are separated from dedicated hardware, enhancing system flexibility and programming capabilities. The input of the network virtualization module is connected to the output of the service control module, acquiring network device status information transmitted by the service control module and performing virtualization processing to obtain abstract virtual network device status objects; the output of the network virtualization module is connected to the input of the service control module, transmitting the virtualized network device status information to the service control module.

[0101] like Figure 6 As shown, by virtualizing and mapping the communication resources and hardware of the power emergency network, data from different information sources are uniformly integrated to achieve centralized management and scheduling of data and to support services for multiple data interfaces.

[0102] (4) Fuzzy Logic Vector Machine Module: This module uses fuzzy logic algorithms to analyze and make decisions on data to optimize communication patterns. The input interface of the fuzzy logic vector machine module is connected to the output interface of the business control module to acquire data information. In this module, data analysis and communication decision-making are performed using fuzzy logic algorithms. The output interface of the fuzzy logic vector machine module is connected to the input interface of the business control module to transmit the data analysis results and communication decision-making schemes to the business control module.

[0103] (5) Relay Network Module: Supports the construction of self-organizing networks, enabling the deployment of emergency networks with high resilience and stability in power emergency repair environments. The inputs and outputs of the relay network module are connected to the communication module, transmitting data from the self-organizing network to the network communication module, and transmitting the data transmitted by the network communication module through the self-organizing network.

[0104] 3. Embedded emergency communication devices

[0105] like Figure 3 As shown, it offers a compact and convenient device form factor, which includes a power heterogeneous network communication module, a space Internet communication module, a power supply module, etc. It can be easily mounted on a variety of unmanned platforms, facilitating deployment and data access.

[0106] Unmanned platform integration: Combined with various unmanned platforms such as drones and unmanned vehicles, it enables rapid deployment and the construction of multi-dimensional heterogeneous networks.

[0107] Multi-dimensional network support: It integrates multiple communication methods and flexibly adjusts the network architecture and functions according to the specific needs of different application scenarios.

[0108] The working process of this invention is as follows:

[0109] 1. When the system starts, each module performs initialization, loads necessary configurations and dependencies, and ensures that all interfaces and communication protocols function properly.

[0110] 2. The power heterogeneous network fusion module receives data using multi-terminal interfaces, processes and encrypts it before transmitting it to the space internet communication module. The space internet communication module integrates on-site broadband ad hoc network communication with narrowband satellite communication, consolidating multi-terminal data and resolving compatibility and interoperability issues in existing technologies, providing diverse and reliable remote data transmission services.

[0111] 3. In emergency situations, embedded devices can be easily and quickly installed and integrated into various unmanned platforms, rapidly enabling network construction in emergency scenarios, increasing the coverage of existing networks, and ensuring the efficiency, timeliness, and effectiveness of information transmission through convenient dynamic adjustment of network structure.

[0112] 4. The power heterogeneous network fusion module monitors and manages the data flow of each module in real time, ensuring the effective fusion of information source data from each terminal. At the same time, the space Internet communication module separates network functions from dedicated hardware by implementing network function virtualization, thereby improving the system's flexibility and programming capabilities.

[0113] 5. The space internet communication module uses fuzzy logic vector machines to analyze real-time communication data, formulate the best communication scheme for the actual environment, solve the communication efficiency problem in the existing technology, and automatically adjust the communication mode according to the network status and transmission requirements.

[0114] 6. The system continuously monitors its operational status, regularly assesses communication quality and security, and ensures the stability and reliability of system operation.

[0115] 7. This device is not limited to fixed installation in a specific emergency scenario. It can be reused in any emergency situation, enabling quick and convenient deployment and network setup, thus reducing costs and resource consumption.

[0116] The design process of this invention is as follows:

[0117] Step 1. Design a power heterogeneous network fusion module. This module is a highly integrated device implemented on the power transmission carrier, including components such as data input, data processing, signal encryption, data output, and security log monitoring. The data processed within the module is then communicated with the space internet communication module in Step 2 to achieve autonomous and controllable flexible emergency power grid data communication support.

[0118] The data encryption module, considering both security and performance, employs a lightweight symmetric encryption algorithm to encrypt communication data, ensuring confidentiality during data transmission. For unencrypted plaintext data accessed from multiple terminals, the AES encryption function is used. The AES encryption function is E, and C = E(K,P). Plaintext data P is encrypted using the AES encryption function E to obtain ciphertext C. To enhance security, randomization is introduced to generate the key K and initialization vector, avoiding the use of a fixed lookup table (S-box) and thus reducing security vulnerabilities.

[0119] Step 2. Design a space internet communication module to meet the needs of remote data transmission integrated with narrowband satellite communication. It should be able to integrate with on-site broadband communication support devices and relay terminals to provide technical support for ultra-long-range data transmission relay. It should also achieve autonomous networking capabilities by integrating with the data fusion and relay networking modules in Step 1. Within the module, network devices should be virtualized to enhance network functions, thereby improving the system's flexibility and programming capabilities. Additionally, a fuzzy logic vector machine module should be designed, using fuzzy logic algorithms and vector machine technology to achieve network data communication decision-making and communication optimization.

[0120] The space internet communication module automatically selects between narrowband or broadband satellite communication for data transmission through service analysis. For example, narrowband communication is suitable for voice calls and control commands, while broadband communication is suitable for high-definition video and file transfer. By combining the two, a flexible balance between transmission efficiency and quality can be achieved.

[0121] The space internet communication module employs network function virtualization, abstracting satellite communication hardware into structural objects in software for flexible deployment and management. This design integrates firewalls, intrusion detection systems, and load balancers in the power emergency network, ensuring the security of the communication control module.

[0122] For complex power emergency communication scenarios, the fuzzy logic vector machine module applies fuzzy logic and support vector machines to manage heterogeneous network deployments, resolving uncertainties and ambiguities in signal transmission and improving communication system performance. Based on fuzzy set theory, the module uses fuzzy logic to process uncertain and fuzzy information in power emergency communication systems. By monitoring system parameters such as node location, communication load, and equipment status, it transforms this information into fuzzy sets and then converts it into specific outputs through mapping relationships, improving the system's adaptability and reliability. The mapping relationships are as follows:

[0123]

[0124] in This represents the fuzzy set generated by various fuzzy factors in the power emergency environment. The expression needs to map out a clear set, that is, the weight value to be sought.

[0125] By extracting and selecting feature vector matrices from the data of the power emergency communication system, fuzzy logic is applied to establish a mapping relationship between system state and communication support services, in order to adapt to the diversity of transmission environments. Its mathematical form is expressed as follows:

[0126] T={(x1,y1), (x2,y2),…, (x N y N ))}

[0127] Each x and y represents a fuzzy result of a communication parameter, forming a dataset.

[0128] Fuzzy logic vector machines are used for classifying and analyzing communication signals to optimize transmission efficiency and handle urgent communication tasks. Their objective function can be expressed as the following linear equation:

[0129] w t Φ(x)+b=0

[0130] Where t represents the number of fuzzy parameter types, w tLet represent a t-dimensional vector, Φ(x) be the kernel function obtained by transforming x by one dimension, and b be a real number. When the above expression is extended to the t-dimensional dimension, the distance d from each support vector to the hyperplane can be written as:

[0131]

[0132] According to any data point (x) i y i If the minimum distance to the desired hyperplane is found in the partitioning hyperplane, then the optimization problem can be transformed into:

[0133]

[0134] st g i (w,b)=1-y i (w T x i +b)≤0, i=1,2,...,n

[0135] Based on the above process, such as Figure 7 As shown, the vector machine training model has been completed.

[0136] In the use of fuzzy logic vector machines, as the number of iterations increases, the membership parameters are continuously adjusted and optimized during training, enabling the model to better capture data features and classification boundaries.

[0137] Step 3. Design an emergency communication embedded device module, which includes the power heterogeneous network fusion module and the space Internet communication module from Step 1 and Step 2. By integrating with various unmanned platforms, it supports the construction of a multi-dimensional heterogeneous network.

[0138] Step 4. Based on the heterogeneous network data integration equipment and autonomous networking module designed in Step 1 and Step 2, the emergency communication embedded function module in Step 3 is mounted on the unmanned platform. Through the network virtualization of the space Internet communication module in Step 2, the fusion and management of multi-terminal information sources are realized, the network function is decoupled from the dedicated hardware equipment, and the flexibility and programmability of heterogeneous network services are improved.

[0139] Step 5. Based on the hardware modules designed in Steps 1 and 2, and combined with the fuzzy logic vector machine decision control technology in Step 3, perform communication decision-making and mode management.

[0140] The implementation process of this invention is as follows:

[0141] 1. Equipment Installation

[0142] The emergency communication embedded device module can be quickly deployed and installed on unmanned platforms or other platforms in current emergency scenarios. The device is small and lightweight and can be quickly fixed and installed using screws, clamps, straps, and other methods.

[0143] 2. Terminal access

[0144] The emergency communication embedded device provides multiple external interfaces to facilitate the integration of various terminals and devices.

[0145] (1) External data sources such as wired power networks, Bluetooth, LoRa, and sensors can be connected to the external interface of the emergency communication embedded device module. The external interface of this part of the emergency communication embedded device is actually connected to the interface of the power heterogeneous network communication module.

[0146] (2) The external interface of the broadband and narrowband satellite communication equipment can be connected to the external interface of the emergency communication embedded equipment. The external interface of this part of the emergency communication embedded equipment is actually connected to the interface of the space Internet communication module.

[0147] 3. Equipment Operation

[0148] Once the external terminals and devices are connected, the devices are powered on, and the space internet communication module can extend the satellite network, self-organizing network, and Internet of Things to the loading platform and enter the emergency response scenario, thereby achieving network coverage for the emergency response scenario.

[0149] 4. Network Construction

[0150] When unmanned platforms or other platforms move dynamically in the current emergency response scenario, personal terminal devices, loading terminal devices, on-site monitoring devices, and power substations within the area can access the extended network built by the emergency communication embedded device via WIFI, Bluetooth, LoRa, etc. Relying on the security encryption, communication guarantee, stability and reliability provided by the emergency communication embedded device module, information exchange between personnel and equipment within the emergency response area and remote control command center and other back-end departments can be completed. Back-end departments can also complete equipment control, alarm notification and personnel dispatch and command in the emergency response scenario through the extended network coverage.

[0151] The innovation of this invention lies in:

[0152] 1. This invention provides a power heterogeneous network convergence emergency communication device based on the space internet, providing communication assurance for power environments with insufficient public network support and difficult deployment. Through the power heterogeneous network convergence device, cross-network data fusion and communication are achieved. The power heterogeneous network convergence emergency communication device based on the space internet enables the reception and transmission of wireless communication signals from the control relay network. An emergency communication embedded module enables integration with various unmanned platforms. Based on the above three devices, a functionally virtualized network resource scheduling layer is constructed to achieve information fusion. Using a fuzzy logic vector machine decision-making method, the parameters of the constructed converged network system are trained to obtain control decisions, achieving flexible and resilient communication networking. This meets the reliability requirements of emergency communication in power network systems under disaster relief and rescue environments, while also enabling stable long-distance transmission of multi-terminal signals. The power heterogeneous network convergence emergency communication device has the following capabilities: 1. Cross-network data fusion and communication capability: Through the power heterogeneous network convergence device, data fusion and communication between different networks are achieved, improving the efficiency and accuracy of information transmission. 2. Flexible and Reliable Emergency Communication: The integration of an embedded emergency communication module with an unmanned platform enhances emergency communication capabilities in power grid disaster relief environments, ensuring the reliability of information transmission. 3. Functional Virtualization and Intelligent Decision-Making: A functionally virtualized network resource scheduling layer is constructed, and fuzzy logic vector machines are used for decision training, improving the system's flexibility and intelligence, ensuring effective control and decision-making in complex environments.

[0153] 2. This invention proposes a converged emergency communication device for heterogeneous power networks based on the space internet. It supports virtualized management and control of emergency network functions and utilizes fuzzy logic vector machines to support network deployment decisions. This enables high-bandwidth, long-distance real-time signal transmission in power emergency rescue and disaster relief environments, comprehensively improving the flexibility and stability of the power emergency network and enhancing rescue efficiency. This invention can realize intelligent safety monitoring and remote signal data transmission in emergency rescue scenarios, thereby improving the reliability of emergency communication and increasing rescue efficiency in disaster relief environments.

[0154] 3. This invention discloses an emergency communication device for power heterogeneous networks based on space internet. Targeting the traditional power grid emergency environment with large deployment range and poor public network support, it integrates satellite networks and power heterogeneous networks through network function virtualization. The device is designed as a secure and reliable long-distance communication device that can access various heterogeneous terminals. At the same time, it adopts fuzzy logic vector machine decision technology to design a highly reliable and robust network that can flexibly adapt to various power grid transmission scenarios, effectively increasing the real-time information transmission efficiency in power transmission environment disaster relief and rescue, and realizing long-distance reliable transmission of terminal signals.

[0155] 4. This invention provides a converged emergency communication device for heterogeneous power networks based on the space internet, featuring high network flexibility, rapid deployment, and strong resilience. To improve communication bandwidth and timeliness, and to achieve long-distance real-time transmission of interrupted signal data, this invention functionally virtualizes the relatively complex and heterogeneous power emergency converged network, enabling flexible utilization of communication resources. Simultaneously, based on the requirements of transmission services and comprehensively considering the communication capabilities and characteristics of transmission nodes, a fuzzy logic vector control algorithm is used to achieve flexible network organization and optimized transmission, improving the stability of long-distance emergency communication transmission in the power grid environment.

[0156] It should be emphasized that the embodiments described in this invention are illustrative rather than limiting. Therefore, this invention includes, but is not limited to, the embodiments described in the specific implementation. Any other implementations derived by those skilled in the art based on the technical solutions of this invention are also within the scope of protection of this invention.

Claims

1. A power heterogeneous network convergence emergency communication device based on space internet, characterized in that: include: The system comprises a power heterogeneous network fusion module and a space internet communication module, which are embedded into an UAV platform via an emergency communication embedded device. The power heterogeneous network fusion module receives environmental information, alarm information, and notification information from wired power networks, Bluetooth, LoRa, and sensor terminals, integrating and processing data from different networks to achieve cross-network communication and data transmission. The output of the power heterogeneous network fusion module is connected to the space internet communication module, encrypting and outputting the environmental information, alarm information, and notification information from wired power networks, Bluetooth, LoRa, and sensor terminals to the space internet communication module. This space internet communication module receives narrowband and broadband satellite communication data and receives and transmits space internet wireless communication signals. After autonomous networking, it sends the data from the power heterogeneous network fusion module to the backend command center via a path-determined link for emergency response decision-making and data processing, thus achieving emergency communication functionality. The power heterogeneous network fusion module includes: a terminal interface module, a data processing module, a data encryption module, an output interface module, and a security log monitoring module. The terminal interface integrates multiple terminal interfaces, including wired network, Bluetooth, and LoRa narrowband signal, and transmits terminal data to the data processing module. The data processing module obtains key and valid data, encrypts the data, and outputs it through the output interface module. The security log monitoring module is responsible for monitoring and statistically analyzing the working status and alarm information of all interfaces and sub-modules in the power heterogeneous network fusion module. The emergency communication embedded device is used to provide physical support for the power heterogeneous network fusion module, the space Internet communication module and the power supply module, and is convenient to be deployed on various carrier platforms and data access. The space internet communication module includes: a network communication module, a service control module, a fuzzy logic vector machine module, a network virtualization module, and a relay networking module. The network communication module integrates and accesses networks and data from broadband satellites, narrowband satellites, long-distance relay networks, and heterogeneous power grid networks. The network virtualization module virtualizes and maps the various heterogeneous networks to achieve cross-domain converged networking. The fuzzy logic vector machine module provides algorithms and analysis based on fuzzy logic vector machines, offering network communication decision-making and optimization schemes. The relay networking module enables self-organizing network access to long-distance relay networks, facilitating the construction of emergency networks in power grid emergency response environments. The service control module uses fuzzy logic vector machine technology to control data and communication schemes for corresponding services and extends network coverage through the network communication module.

2. The emergency communication device for power heterogeneous networks based on space internet according to claim 1, characterized in that: The data encryption module uses a lightweight symmetric encryption algorithm to encrypt communication data, and its specific encryption steps include: (1) Randomization is introduced into the encryption method to generate the key K; (2) The data sender obtains unencrypted plaintext data P from multiple terminals, uses the AES encryption function, let the AES encryption function be E, then the ciphertext C = E(K,P), the plaintext data P is encrypted by the AES encryption function E, and after multiple rounds of process, the ciphertext C is obtained; the encrypted data is sent to the data receiver through the network; (3) After receiving the ciphertext C, the data receiver uses the encryption function E to deduce the plaintext P from the ciphertext C, thus completing the data encryption process.

3. The emergency communication device for power heterogeneous networks based on space internet according to claim 1, characterized in that: The fuzzy logic vector machine module applies fuzzy logic and support vector machine to manage heterogeneous network deployment. Based on fuzzy set theory, the fuzzy logic vector machine module uses fuzzy logic to process uncertain and fuzzy information in the power emergency communication system. It monitors the node location, communication load and equipment status information in the system parameters, and transforms this information into fuzzy sets, and then transforms it into specific outputs through mapping relationships. The mapping relationship is as follows: in, This represents the fuzzy set generated by various fuzzy factors in the power emergency environment. The expression needs to map out a clear set, that is, the weight value to be sought; By extracting and selecting feature vector matrices from the data of the power emergency communication system, fuzzy logic is applied to establish a mapping relationship between the system state and communication support services. Its mathematical form is expressed as follows: T={(x1,y1),(x2,y2),...,(x N ,y N ))} Each x and y represents the fuzzy result of a communication parameter, forming a dataset; Fuzzy logic vector machines are used to classify and analyze communication signals to optimize transmission efficiency and handle urgent communication tasks. Their objective function is expressed as the following linear equation: w t Φ(x)+b=0 Where t represents the number of fuzzy parameter types, w t Let represent a t-dimensional vector, Φ(x) be the kernel function obtained by transforming x by one dimension, and b be a real number; when the above expression is extended to the t-dimensional dimension, the distance d from each support vector to the hyperplane is written as: According to any data point (x) i y i If the minimum distance to the desired hyperplane is found in the partitioning hyperplane, then the optimization problem is transformed into: s.t.g i (w,b)=1-y i (w T x i +b)≤0,i=1,2,...,n This leads to the construction of the vector machine training model.

4. The emergency communication device for power heterogeneous networks based on space internet according to claim 1, characterized in that: The network virtualization module uses virtualization technology to separate network functions from dedicated hardware. The input of the network virtualization module is connected to the output of the service control module, obtains the network device status information transmitted by the service control module, performs virtualization processing to obtain an abstract virtual network device, and transmits the virtualized network device status information to the service control module.

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