Edge communication method and system based on big data combined with 5G technology

Abstract

The present invention relates to the field of edge communication, and proposes an edge communication method and system based on big data combined with 5G technology. The method includes: determining the communication area in the communication scenario, analyzing the communication demand, calculating the echo coefficient, and generating the edge communication scheme. By querying the key communication indicators in the communication demand and extracting the indicator parameters, the echo coefficient is calculated. Based on the echo coefficient, the communication environment is queried and the communication parameters are collected, converted into a communication frequency band curve, and the frequency band parameters are extracted for data aggregation. After uploading the aggregated data to the edge node, the aggregation factor is extracted and the data transmission protocol is queried. According to the data transmission protocol, the data transmission path of the 5G communication cloud platform is adjusted, the data transmission rate and frequency are monitored in real time, and the data bandwidth is calculated. According to the data bandwidth, the parameters of the edge communication equipment are configured, the response frequency of the communication data is calculated, and the edge communication scheme is finally generated. The present invention can improve the communication efficiency and stability of edge communication.

Description

Technical Field

[0001] The present invention relates to the field of edge communications, and in particular to an edge communication method and system based on big data combined with 5G technology. Background Art

[0002] Edge communication refers to a communication method that extends computing, storage, and network services from the traditional centralized cloud to the edge of the network to better meet requirements such as low latency, high reliability, and privacy protection.

[0003] At present, edge communication methods mainly include edge processing of data, intelligent edge caching, edge computing offloading and other technologies. Among them, edge processing of data refers to data preprocessing and simple analysis on edge nodes to reduce the pressure of data transmission to the cloud; intelligent edge caching uses big data analysis to predict user data access behavior and achieves fast data transmission and cache updates through 5G technology; edge computing offloading transfers part of the data processing tasks from the terminal device to the edge server to reduce the energy consumption and delay of the terminal device. However, the above-mentioned edge communication methods are still affected by communication efficiency and stability. Therefore, an edge communication method based on big data combined with 5G technology is needed to improve the communication efficiency and stability of edge communication. Summary of the invention

[0004] The present invention provides an edge communication method and system based on big data combined with 5G technology, the main purpose of which is to improve the communication efficiency and stability of edge communication.

[0005] Determine a communication area in a communication scenario, analyze communication requirements corresponding to the communication area, query key communication indicators in the communication requirements, extract indicator parameters in the key communication indicators, and calculate the echo coefficient corresponding to the indicator parameters;

[0006] Based on the echo coefficient, query the communication environment corresponding to the communication scenario, collect communication parameters in the communication environment, convert the communication parameters into a communication frequency band curve, extract frequency band parameters in the communication frequency band curve, and perform data aggregation on the frequency band parameters to obtain an aggregated data set;

[0007] After uploading the data in the aggregated data set to a preset edge node, extracting an aggregation factor of the data in the aggregated data set, and querying a data transmission protocol corresponding to the data in the aggregated data set based on the aggregation factor;

[0008] Based on the data transmission protocol, adjust the data transmission path corresponding to the preset 5G communication cloud platform, and monitor the data transmission rate and data frequency corresponding to the data transmission path in real time; based on the data transmission rate and the data frequency, calculate the data bandwidth corresponding to the data in the aggregated data set;

[0009] Based on the data bandwidth, configure the device parameters in the preset edge communication device, extract the center power and the resonant frequency in the device parameters, calculate the response frequency of the communication data in the communication scenario based on the center power and the resonant frequency, and generate the edge communication scheme corresponding to the communication scenario based on the response frequency.

[0010] Optionally, querying the key communication indicators in the communication requirements includes:

[0011] Determining a demand target corresponding to the communication demand, and configuring communication parameters in a preset communication device based on the demand target;

[0012] Based on the communication parameters, detecting the network connection status of the preset communication device;

[0013] measuring a communication delay in the network connection state, and measuring a communication throughput in the network connection state;

[0014] Measuring a communication packet loss rate in the network connection state;

[0015] Based on the communication delay, the communication throughput and the communication packet loss rate, key communication indicators in the communication demand are analyzed.

[0016] Optionally, the calculating the echo coefficient corresponding to the indicator parameter includes: querying an indicator path corresponding to the indicator parameter; and identifying a communication frequency corresponding to the indicator path; and calculating the echo coefficient corresponding to the indicator parameter based on the indicator path and the communication frequency using the following formula:

[0017]

[0018] Wherein, Γ represents the echo coefficient corresponding to the index parameter, Indicates the path index corresponding to the indicator path, Indicates the number of paths corresponding to the indicator path, Indicates The communication frequency of the indicator paths, Indicates The path loss of the index path, Indicates The data transmission distance of the indicator path, Indicates The signal-to-noise ratio of the indicator path, represents the length of the indicator path, Represents the path matrix corresponding to the indicator path, where represents the carrier power, Indicates the transmit power, represents the received power, Indicates attenuation.

[0019] Optionally, querying a communication environment corresponding to the communication scenario based on the echo coefficient includes:

[0020] determining an echo channel corresponding to the echo coefficient, and identifying a channel feature in the echo channel;

[0021] Based on the channel characteristics, construct an environmental channel framework corresponding to the communication scenario;

[0022] Based on the environmental channel framework, a communication environment corresponding to the communication scenario is queried.

[0023] Optionally, the performing data aggregation on the frequency band parameters to obtain an aggregated data set includes:

[0024] Identifying original frequency band data corresponding to the frequency band parameter, and determining a frequency band range corresponding to the original frequency band data;

[0025] Based on the frequency band range, removing abnormal frequency bands in the frequency band parameters to obtain frequency band quality data;

[0026] The frequency band quality data is aggregated using a preset aggregation function to obtain an aggregated data set.

[0027] Optionally, querying the data transmission protocol corresponding to the data in the aggregated data set based on the aggregation factor includes:

[0028] Querying a key factor in the aggregation factor, and identifying a data item corresponding to the key factor;

[0029] Based on the data item, determining an identifier corresponding to the aggregated data set;

[0030] Based on the identifier, extracting a transmission protocol number corresponding to the data in the aggregated data set;

[0031] Based on the transmission protocol number, the data transmission protocol corresponding to the data in the aggregated data set is queried.

[0032] Optionally, adjusting the data transmission path corresponding to the preset 5G communication cloud platform based on the data transmission protocol includes:

[0033] Analyze the protocol characteristics corresponding to the data transmission protocol and identify the data traffic pattern of the preset 5G communication cloud platform;

[0034] Based on the protocol characteristics and the data traffic pattern, construct a path optimization module corresponding to the 5G communication cloud platform;

[0035] The path optimization module is used to adjust the data transmission path corresponding to the preset 5G communication cloud platform.

[0036] Optionally, the calculating, based on the data transmission rate and the data frequency, a data bandwidth corresponding to the data in the aggregated data set includes:

[0037] The data bandwidth corresponding to the data in the aggregated data set is calculated using the following formula:

[0038]

[0039] in, represents the data bandwidth corresponding to the data in the aggregated data set, represents the data item index corresponding to the data in the aggregated data set, represents the number of data items corresponding to the data in the aggregated data set, Representative data size, used to represent the amount of each data in the aggregated data set, represents the data transmission rate, represents the data frequency.

[0040] Optionally, the calculating, based on the center power and the resonant frequency, a response frequency of the communication data in the communication scenario includes:

[0041] The response frequency of the communication data in the communication scenario is calculated using the following formula:

[0042]

[0043] in, represents the response frequency of communication data in the communication scenario, represents the center power with respect to the angular frequency The function of represents the time variable, represents the ratio of resonant frequency to bandwidth, represents the number of parameters of communication data in the communication scenario, Indicates the matrix order corresponding to the communication data in the communication scenario.

[0044] In order to solve the above problems, the present invention also provides an edge communication system based on big data combined with 5G technology, the system comprising:

[0045] An echo coefficient calculation module is used to determine a communication area in a communication scenario, analyze a communication demand corresponding to the communication area, query a key communication indicator in the communication demand, extract an indicator parameter in the key communication indicator, and calculate an echo coefficient corresponding to the indicator parameter;

[0046] A data aggregation module, used to query the communication environment corresponding to the communication scenario based on the echo coefficient, collect communication parameters in the communication environment, convert the communication parameters into a communication frequency band curve, extract the frequency band parameters in the communication frequency band curve, perform data aggregation on the frequency band parameters, and obtain an aggregated data set;

[0047] A protocol query module, configured to extract an aggregation factor of the data in the aggregated data set after uploading the data in the aggregated data set to a preset edge node, and query a data transmission protocol corresponding to the data in the aggregated data set based on the aggregation factor;

[0048] A bandwidth calculation module is used to adjust the data transmission path corresponding to the preset 5G communication cloud platform based on the data transmission protocol, and monitor the data transmission rate and data frequency corresponding to the data transmission path in real time; based on the data transmission rate and the data frequency, calculate the data bandwidth corresponding to the data in the aggregated data set;

[0049] A scheme generation module is used to configure device parameters in a preset edge communication device based on the data bandwidth, extract the center power and the resonant frequency in the device parameters, calculate the response frequency of the communication data in the communication scenario based on the center power and the resonant frequency, and generate an edge communication scheme corresponding to the communication scenario based on the response frequency.

[0050] Firstly, the present invention determines the communication area in the communication scenario, analyzes the communication demand corresponding to the communication area, and through in-depth understanding of the communication area and demand in the communication scenario, can better perform network planning and resource allocation, improve communication efficiency and performance. At the same time, based on the echo coefficient, the present invention queries the communication environment corresponding to the communication scenario, which helps to locate potential interference sources or signal attenuation factors, thereby optimizing the communication system design, improving transmission performance, and planning resources to adapt to various communication environment conditions, thereby improving the stability of the communication network. The present invention extracts the aggregation factor of the data in the aggregated data set after uploading the data in the aggregated data set to a preset edge node, which can reduce Reduce data transmission delay, reduce overall network load, protect data privacy, and promote faster decision-making and the construction of intelligent systems. Secondly, based on the data transmission protocol, the present invention adjusts the data transmission path corresponding to the preset 5G communication cloud platform, which can achieve the best balance between network performance and resource utilization, optimize data traffic allocation, and improve communication efficiency. At the same time, it effectively reduces delays, improves bandwidth utilization, and ensures communication quality and stability. Furthermore, based on the data bandwidth, the present invention configures the device parameters in the preset edge communication device, which helps to optimize network performance, improve data processing speed, and ensure smooth communication between devices, thereby enhancing the stability and reliability of the overall system. Therefore, the edge communication method and system based on big data combined with 5G technology proposed in the present invention can improve the communication efficiency and stability of edge communication. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 A schematic diagram of a flow chart of an edge communication method based on big data combined with 5G technology provided in one embodiment of the present invention;

[0052] Figure 2 A schematic diagram of a module of an edge communication system based on big data combined with 5G technology provided by an embodiment of the present invention;

[0053] Figure 3 A schematic diagram of the internal structure of an electronic device based on an edge communication method based on big data combined with 5G technology provided in one embodiment of the present invention.

[0054] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0055] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0056] The embodiment of the present application provides an edge communication method based on big data combined with 5G technology. The execution subject of the edge communication method based on big data combined with 5G technology includes but is not limited to at least one of the electronic devices such as a server, a terminal, etc. that can be configured to execute the method provided by the embodiment of the present application. In other words, the edge communication method based on big data combined with 5G technology can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc. The server can be an independent server, or it can be a cloud server that provides cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (Content Delivery Network, CDN), and basic cloud computing services such as big data and artificial intelligence platforms.

[0057] Reference Figure 1 As shown, it is a flow chart of an edge communication method based on big data combined with 5G technology provided by an embodiment of the present invention. In this embodiment, the edge communication method based on big data combined with 5G technology includes:

[0058] S1. Determine a communication area in a communication scenario, analyze communication requirements corresponding to the communication area, query key communication indicators in the communication requirements, extract indicator parameters in the key communication indicators, and calculate the echo coefficient corresponding to the indicator parameters.

[0059] The present invention determines the communication area in the communication scenario, analyzes the communication demand corresponding to the communication area, and through in-depth understanding of the communication area and demand in the communication scenario, can better perform network planning and resource allocation, thereby improving communication efficiency and performance.

[0060] Among them, the communication scenario refers to a specific environment or situation for conducting communication activities; the communication area refers to an area or range with specific meaning and function in the communication scenario; the communication demand refers to the specific requirements or expectations of users or devices for the communication system in a specific communication scenario, including requirements for data transmission speed, network coverage, connection stability, security, etc. Optionally, the communication area determined in the communication scenario can be obtained through a wireless signal coverage model, such as the FSPL model, the Okumura-Hata model, etc.; the analysis of the communication demand corresponding to the communication area can be obtained through network planning tools, such as Atoll, TEMS Investigation and other tools.

[0061] Furthermore, by querying the key communication indicators in the communication requirements, the present invention can timely discover and resolve network failures, ensure stable network operation, and help optimize network architecture and configuration, thereby improving service quality and user experience.

[0062] The key communication indicators refer to important parameters or indicators used to measure and evaluate communication performance in a communication system.

[0063] As an embodiment of the present invention, the query of the key communication indicators in the communication demand includes: determining the demand target corresponding to the communication demand; based on the demand target, configuring the communication parameters in the preset communication device; based on the communication parameters, detecting the network connection status of the preset communication device; measuring the communication delay in the network connection status; measuring the communication throughput in the network connection status; measuring the communication packet loss rate in the network connection status; and analyzing the key communication indicators in the communication demand based on the communication delay, the communication throughput and the communication packet loss rate.

[0064] Among them, the demand target refers to the specific goal or purpose of the communication demand, such as achieving high-quality video conferencing, providing stable remote access services, etc.; the communication parameters refer to the configurable parameters in the preset communication equipment, such as bandwidth, frequency, power, etc.; the network connection status refers to the connection status between the communication device and the network, including connection stability, delay, throughput and data transmission quality; the communication delay refers to the time required for data to travel from the sender to the receiver, usually in milliseconds; the communication throughput refers to the amount of data transmitted through the network per unit time, usually expressed in bits / second or bytes / second; the communication packet loss rate refers to the proportion of data packets lost during data transmission.

[0065] Furthermore, the determination of the demand target corresponding to the communication demand can be obtained through a demand engineering model, such as a classic horizontal model, an incremental model, and other models; the communication parameters in the configured preset communication equipment can be obtained through a network simulation tool, such as Packet Tracer, GNS3, and other tools; the detection of the network connection status of the preset communication equipment can be obtained through a network monitoring tool, such as Wireshark, Nagios, and other tools; the measurement of the communication delay and communication throughput and communication packet loss rate in the network connection status can be obtained through a network performance testing tool, such as PingPlotter, iPerf, and other tools; the analysis of the key communication indicators in the communication demand can be obtained through data analysis and performance evaluation methods, such as statistical analysis, machine learning algorithms.

[0066] By extracting the indicator parameters in the key communication indicators and calculating the echo coefficients corresponding to the indicator parameters, the present invention can better adapt to different environmental conditions, improve the accuracy and reliability of data transmission, and thus comprehensively improve the overall communication quality and user experience.

[0067] Among them, the index parameters refer to the key parameters of the communication system performance, such as data transmission rate, signal-to-noise ratio, bit error rate, bandwidth and delay; the echo coefficient refers to the reflection or response coefficient of the index parameters under the corresponding environment in the communication system.

[0068] As an embodiment of the present invention, the calculating the echo coefficient corresponding to the indicator parameter includes: querying the indicator path corresponding to the indicator parameter; and identifying the communication frequency corresponding to the indicator path; based on the indicator path and the communication frequency, calculating the echo coefficient corresponding to the indicator parameter using the following formula:

[0069]

[0070] Wherein, Γ represents the echo coefficient corresponding to the index parameter, Indicates the path index corresponding to the indicator path, Indicates the number of paths corresponding to the indicator path, Indicates The communication frequency of the indicator paths, Indicates The path loss of the index path, Indicates The data transmission distance of the indicator path, Indicates The signal-to-noise ratio of the indicator path, represents the length of the indicator path, Represents the path matrix corresponding to the indicator path, where represents the carrier power, Indicates the transmit power, represents the received power, Indicates attenuation.

[0071] S2. Based on the echo coefficient, query the communication environment corresponding to the communication scenario, collect communication parameters in the communication environment, convert the communication parameters into a communication frequency band curve, extract the frequency band parameters in the communication frequency band curve, perform data aggregation on the frequency band parameters, and obtain an aggregated data set.

[0072] The present invention queries the communication environment corresponding to the communication scenario based on the echo coefficient, which helps to locate potential interference sources or signal attenuation factors, thereby optimizing the communication system design, improving transmission performance, and planning resources to adapt to various communication environment conditions, thereby improving the stability of the communication network.

[0073] The communication environment refers to the scene and conditions in which the signal is transmitted, including factors such as multipath fading, shadow effect, and multi-user interference.

[0074] As an embodiment of the present invention, querying the communication environment corresponding to the communication scenario based on the echo coefficient includes: determining the echo channel corresponding to the echo coefficient; identifying channel characteristics in the echo channel; based on the channel characteristics, constructing an environmental channel framework corresponding to the communication scenario; based on the environmental channel framework, querying the communication environment corresponding to the communication scenario.

[0075] Among them, the echo channel refers to the channel encountered when data is transmitted from the transmitter to the receiver and back; the channel characteristics refer to the various properties existing in the echo channel, such as multipath effect, time-varying properties, spectrum fading, etc.; the environmental channel framework refers to a model established based on the channel characteristics, which is used to describe the channel behavior in the communication environment.

[0076] Furthermore, the determination of the echo channel corresponding to the echo coefficient can be obtained through a channel estimation algorithm, such as LMS, MLE and other algorithms; the identification of channel characteristics in the echo channel can be obtained through channel spectral density analysis or autocorrelation function analysis; the construction of the environmental channel framework corresponding to the communication scenario can be obtained through network simulation tools, such as MATLAB, Simulink, ns-3 and other tools; the query of the communication environment corresponding to the communication scenario can be obtained through a channel model, such as AWGN, Rayleigh, Rician and other models.

[0077] The present invention collects communication parameters in the communication environment and converts the communication parameters into a communication frequency band curve, which helps to fully understand the signal characteristics and transmission conditions in the communication environment, thereby optimizing the design and deployment of the communication system.

[0078] Among them, the communication parameters refer to settings or properties related to communication, such as data transmission rate, frequency, encoding and decoding format, etc.; the communication frequency band curve refers to a curve that describes the signal strength or bandwidth of a specific communication frequency band as it changes with frequency. In detail, the collection of communication parameters in the communication environment can be obtained through parameter collection tools, such as Wireshark, NetSpot, etc.; the conversion of the communication parameters into a communication frequency band curve can be obtained through a curve conversion tool, such as MATLAB, GNU Radio and other tools.

[0079] Furthermore, the present invention extracts the frequency band parameters in the communication frequency band curve and performs data aggregation on the frequency band parameters to obtain an aggregated data set, which can optimize the communication system and adjust the antenna or channel selection according to the aggregated data set, thereby providing a basis for formulating spectrum allocation policies and optimizing spectrum allocation strategies.

[0080] Among them, the frequency band parameters refer to various indicators that describe the characteristics of different frequency bands in the communication frequency band curve, such as signal strength, signal-to-noise ratio, bandwidth utilization, etc.; the aggregated data set refers to the final data set obtained by integrating the aggregation results of each frequency band.

[0081] As an embodiment of the present invention, the data aggregation of the frequency band parameters to obtain an aggregated data set includes: identifying the original frequency band data corresponding to the frequency band parameters; determining the frequency band range corresponding to the original frequency band data; based on the frequency band range, removing abnormal frequency bands in the frequency band parameters to obtain frequency band quality data; and using a preset aggregation function to aggregate the frequency band quality data to obtain an aggregated data set.

[0082] Among them, the original frequency band data refers to the frequency band parameter values ​​that have not been processed or modified; the frequency band range refers to the starting frequency and ending frequency of the frequency band corresponding to each original frequency band data; the frequency band quality data refers to the quality data of the remaining frequency bands after removing abnormal frequency bands; the preset aggregation function refers to a pre-defined function for performing aggregation operations on the frequency band quality data, such as calculating the average, maximum value, minimum value, etc.; the aggregated data set refers to the final data set obtained by integrating the aggregation results of each frequency band.

[0083] Furthermore, the identifying of the original frequency band data corresponding to the frequency band parameters can be obtained through the pandas library in Python; the determining of the frequency band range corresponding to the original frequency band data can be obtained through a spectrum analysis tool, such as: GNU Radio tool; the removal of abnormal frequency bands in the frequency band parameters can be obtained through an outlier detection algorithm, such as: Z-Score method, IQR method, etc.; the data aggregation of the frequency band quality data using a preset aggregation function can be obtained by using a preset aggregation function.

[0084] S3: After uploading the data in the aggregated data set to a preset edge node, extract the aggregation factor of the data in the aggregated data set, and query the data transmission protocol corresponding to the data in the aggregated data set based on the aggregation factor.

[0085] The present invention uploads the data in the aggregated data set to a preset edge node and then extracts the aggregation factor of the data in the aggregated data set, thereby reducing data transmission delay, reducing the overall network load, protecting data privacy, and promoting faster decision-making and the construction of intelligent systems.

[0086] Among them, the preset edge node refers to a computing node located at the edge of the network that is determined in advance, and is used to perform partial processing and storage at the place where the data is generated; the aggregation factor refers to relevant data features or statistics obtained through data aggregation calculation, such as average value, sum, etc. Optionally, uploading the data in the aggregated data set to the preset edge node can be achieved through a distributed computing framework, such as: Apache Spark, Hadoop and other tools; extracting the aggregation factor of the data in the aggregated data set can be achieved through Python, such as: NumPy, Pandas, Scikit-learn and other tools.

[0087] The present invention queries the data transmission protocol corresponding to the data in the aggregated data set based on the aggregation factor, which can ensure that the data will not be lost, tampered with or erroneous during the transmission process, and can be processed and analyzed according to pre-set rules, thereby improving the reliability and stability of data transmission.

[0088] The data transmission protocol refers to a set of rules and conventions used to transmit data between different systems.

[0089] As an embodiment of the present invention, querying the data transmission protocol corresponding to the data in the aggregated data set based on the aggregation factor includes: querying the key factor in the aggregation factor; identifying the data item corresponding to the key factor; determining the identifier corresponding to the aggregated data set based on the data item; extracting the transmission protocol number corresponding to the data in the aggregated data set based on the identifier; and querying the data transmission protocol corresponding to the data in the aggregated data set based on the transmission protocol number.

[0090] Among them, the key factor refers to a factor or feature that is of great significance in the aggregated data set and is used to group or filter the data; the data item refers to a specific data field or attribute associated with the key factor; the identifier refers to an identifier used to uniquely identify specific data in the aggregated data set; the transmission protocol number refers to the identifier of the transmission protocol corresponding to the specific data in the aggregated data set.

[0091] Furthermore, the query of the key factors in the aggregation factors can be obtained through a feature selection algorithm, such as random forest, recursive feature elimination and other algorithms; the identification of the data items corresponding to the key factors can be obtained through tools such as pandas, numpy library, scikit-learn and other tools in Python; the extraction of the transmission protocol number corresponding to the data in the aggregated data set can be obtained through a data parsing tool, such as the Wireshark packet capture tool; the query of the data transmission protocol corresponding to the data in the aggregated data set can be obtained through a network data analysis tool, such as the Zeek network security monitoring tool, ELK Stack and other tools.

[0092] S4. Based on the data transmission protocol, adjust the data transmission path corresponding to the preset 5G communication cloud platform, monitor the data transmission rate and data frequency corresponding to the data transmission path in real time, and calculate the data bandwidth corresponding to the data in the aggregated data set based on the data transmission rate and the data frequency.

[0093] Based on the data transmission protocol, the present invention adjusts the data transmission path corresponding to the preset 5G communication cloud platform, which can achieve a balance between optimal network performance and resource utilization, optimize data traffic allocation, and improve communication efficiency. At the same time, it can effectively reduce latency, improve bandwidth utilization, and ensure communication quality and stability.

[0094] Among them, the preset 5G communication cloud platform refers to a network architecture built based on the fifth generation mobile communication technology (5G), which includes the integration of advanced technologies such as cloud computing, virtualization, software-defined networking (SDN), and network function virtualization (NFV); the data transmission path refers to the transmission path of information from the sending end to the receiving end, including intermediate nodes and transmission methods.

[0095] As an embodiment of the present invention, the data transmission path corresponding to the preset 5G communication cloud platform is adjusted based on the data transmission protocol, including: analyzing the protocol characteristics corresponding to the data transmission protocol, and identifying the data traffic pattern of the preset 5G communication cloud platform; based on the protocol characteristics and the data traffic pattern, constructing a path optimization module corresponding to the 5G communication cloud platform; and using the path optimization module to adjust the data transmission path corresponding to the preset 5G communication cloud platform.

[0096] Among them, the protocol characteristics refer to the specific features and specifications of the data transmission protocol, such as data packet format, transmission rate, error detection and correction mechanism, etc.; the data traffic pattern refers to the pattern and characteristics of data transmission on the 5G communication cloud platform, including data volume, transmission frequency, priority, etc.; the path optimization module refers to a module designed based on protocol characteristics and data traffic patterns.

[0097] Furthermore, the analysis of the protocol characteristics corresponding to the data transmission protocol can be obtained through open source network analysis tools, such as: Wireshark tool; the identification of the data traffic pattern of the preset 5G communication cloud platform can be obtained through data mining technology, such as: K-means clustering; the construction of the path optimization module corresponding to the 5G communication cloud platform can be obtained through a reinforcement learning algorithm, such as: Q-learning algorithm; the data transmission path corresponding to the preset 5G communication cloud platform can be obtained by utilizing the path optimization module.

[0098] By real-time monitoring of the data transmission rate and data frequency corresponding to the data transmission path, the present invention can promptly discover potential faults or bottlenecks, improve communication efficiency and performance, thereby optimizing resource utilization, reducing latency, and ensuring the security and reliability of data transmission.

[0099] Among them, the data transmission rate refers to the speed at which data passes through the transmission medium per unit time, usually expressed in bit rate or byte rate; the data frequency refers to the frequency of changes in the data signal waveform, that is, the number of times the signal oscillates per second, usually in Hertz. Optionally, the real-time monitoring of the data transmission rate and data frequency corresponding to the data transmission path can be obtained through network performance monitoring tools, such as: Wireshark, SolarWinds and other tools.

[0100] The present invention calculates the data bandwidth corresponding to the data in the aggregated data set based on the data transmission rate and the data frequency, and can timely discover potential faults or bottlenecks, effectively reduce delays, and improve data transmission security and reliability, thereby achieving more efficient resource management, network planning, and service quality assurance.

[0101] The data bandwidth refers to the amount of data transmitted per unit time.

[0102] As an embodiment of the present invention, the calculating, based on the data transmission rate and the data frequency, the data bandwidth corresponding to the data in the aggregated data set includes:

[0103] The data bandwidth corresponding to the data in the aggregated data set is calculated using the following formula:

[0104]

[0105] in, represents the data bandwidth corresponding to the data in the aggregated data set, represents the data item index corresponding to the data in the aggregated data set, represents the number of data items corresponding to the data in the aggregated data set, Representative data size, used to represent the amount of each data in the aggregated data set, represents the data transmission rate, represents the data frequency.

[0106] S5. Based on the data bandwidth, configure the device parameters in the preset edge communication device, extract the center power and the resonant frequency in the device parameters, calculate the response frequency of the communication data in the communication scenario based on the center power and the resonant frequency, and generate an edge communication solution corresponding to the communication scenario based on the response frequency.

[0107] The present invention configures device parameters in preset edge communication devices based on the data bandwidth, which helps to optimize network performance, improve data processing speed, and ensure smooth communication between devices, thereby enhancing the stability and reliability of the overall system.

[0108] Among them, the preset edge communication device refers to various intelligent devices running in the edge computing environment, such as edge servers, edge routers, sensor nodes, etc.; the device parameters refer to the property settings for these edge communication devices, including data transmission rate, protocol specifications, buffer size, etc. Optionally, the device parameters in the configured preset edge communication device can be obtained through an optimization algorithm, such as: genetic algorithm, particle swarm algorithm, simulated annealing algorithm, etc.

[0109] By extracting the central power and resonant frequency from the device parameters, the present invention can improve the energy efficiency of the device, reduce power consumption and promote stable operation of the system, which helps to achieve more efficient energy utilization and resource allocation, thereby improving the performance and reliability of the overall system.

[0110] Among them, the center power refers to the average power level required by the device during operation, which is usually the core parameter representing the overall energy consumption of the device; the resonant frequency refers to the frequency point at which the device resonates with an external excitation signal at a specific frequency, and is the frequency at which the device exhibits maximum efficiency when responding to external signals. Optionally, the center power and resonant frequency extracted from the device parameters can be obtained through circuit simulation tools, such as LTspice, PSpice and other tools.

[0111] As an embodiment of the present invention, the calculating the response frequency of the communication data in the communication scenario based on the center power and the resonant frequency includes:

[0112] The response frequency of the communication data in the communication scenario is calculated using the following formula:

[0113]

[0114] in, represents the response frequency of communication data in the communication scenario, represents the center power with respect to the angular frequency The function of represents the time variable, represents the ratio of resonant frequency to bandwidth, represents the number of parameters of communication data in the communication scenario, Indicates the matrix order corresponding to the communication data in the communication scenario.

[0115] The present invention generates an edge communication solution corresponding to the communication scenario based on the response frequency, which can effectively reduce energy consumption, reduce maintenance costs, improve network security, optimize communication network resource utilization and improve communication efficiency to the greatest extent.

[0116] Among them, the edge communication solution refers to a communication architecture in which functions such as data processing, storage and transmission are performed at the edge of the network closer to the source of data generation, rather than being concentrated in a central data center or cloud service. This allows computing resources to be as close to the data source as possible to achieve faster data processing and response time, reduce network congestion and latency, and improve communication efficiency and performance. Optionally, the edge communication solution corresponding to the communication scenario can be obtained by combining edge computing with traditional cloud computing, and the edge communication solution can better adapt to the needs of various communication scenarios, including the Internet of Things, smart cities, industrial automation and other fields, thereby realizing an intelligent and efficient communication network.

[0117] Firstly, the present invention determines the communication area in the communication scenario, analyzes the communication demand corresponding to the communication area, and through in-depth understanding of the communication area and demand in the communication scenario, can better perform network planning and resource allocation, improve communication efficiency and performance. At the same time, based on the echo coefficient, the present invention queries the communication environment corresponding to the communication scenario, which helps to locate potential interference sources or signal attenuation factors, thereby optimizing the communication system design, improving transmission performance, and planning resources to adapt to various communication environment conditions, thereby improving the stability of the communication network. The present invention extracts the aggregation factor of the data in the aggregated data set after uploading the data in the aggregated data set to a preset edge node, which can reduce Reduce data transmission delay, reduce overall network load, protect data privacy, and promote faster decision-making and the construction of intelligent systems. Secondly, based on the data transmission protocol, the present invention adjusts the data transmission path corresponding to the preset 5G communication cloud platform, which can achieve the best balance between network performance and resource utilization, optimize data traffic allocation, and improve communication efficiency. At the same time, it effectively reduces delays, improves bandwidth utilization, and ensures communication quality and stability. Furthermore, based on the data bandwidth, the present invention configures the device parameters in the preset edge communication device, which helps to optimize network performance, improve data processing speed, and ensure smooth communication between devices, thereby enhancing the stability and reliability of the overall system. Therefore, the edge communication method and system based on big data combined with 5G technology proposed in the present invention can improve the communication efficiency and stability of edge communication.

[0118] like Figure 2 As shown, it is a functional module diagram of an edge communication system based on big data combined with 5G technology provided by one embodiment of the present invention.

[0119] The edge communication system 200 based on big data combined with 5G technology described in the present invention can be installed in an electronic device. According to the functions implemented, the edge communication system 200 based on big data combined with 5G technology can include an echo coefficient calculation module 201, a data aggregation module 202, a protocol query module 203, a bandwidth calculation module 204 and a solution generation module 205. The module described in the present invention can also be called a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0120] In this embodiment, the functions of each module / unit are as follows:

[0121] The echo coefficient calculation module 201 is used to determine the communication area in the communication scenario, analyze the communication demand corresponding to the communication area, query the key communication indicators in the communication demand, extract the indicator parameters in the key communication indicators, and calculate the echo coefficient corresponding to the indicator parameters;

[0122] The data aggregation module 202 is used to query the communication environment corresponding to the communication scenario based on the echo coefficient, collect communication parameters in the communication environment, convert the communication parameters into a communication frequency band curve, extract the frequency band parameters in the communication frequency band curve, and perform data aggregation on the frequency band parameters to obtain an aggregated data set;

[0123] The protocol query module 203 is used to extract the aggregation factor of the data in the aggregated data set after uploading the data in the aggregated data set to the preset edge node, and query the data transmission protocol corresponding to the data in the aggregated data set based on the aggregation factor;

[0124] The bandwidth calculation module 204 is used to adjust the data transmission path corresponding to the preset 5G communication cloud platform based on the data transmission protocol, and monitor the data transmission rate and data frequency corresponding to the data transmission path in real time; based on the data transmission rate and the data frequency, calculate the data bandwidth corresponding to the data in the aggregated data set;

[0125] The scheme generation module 205 is used to configure the device parameters in the preset edge communication device based on the data bandwidth, extract the center power and the resonant frequency in the device parameters, calculate the response frequency of the communication data in the communication scenario based on the center power and the resonant frequency, and generate the edge communication scheme corresponding to the communication scenario based on the response frequency.

[0126] In detail, the modules described in the edge communication system 200 based on big data combined with 5G technology in the embodiment of the present invention adopt the same technical means as the edge communication method based on big data combined with 5G technology described in the accompanying drawings when used, and can produce the same technical effects, which will not be repeated here.

[0127] like Figure 3 The figure is a schematic diagram of the structure of an electronic device that implements an edge communication method based on big data combined with 5G technology according to the present invention.

[0128] The electronic device may include a processor 30, a memory 31, a communication bus 32 and a communication interface 33, and may also include a computer program stored in the memory 31 and executable on the processor 30, such as an engineering safety supervision program based on artificial intelligence.

[0129] In some embodiments, the processor 30 may be composed of an integrated circuit, for example, a single packaged integrated circuit, or a plurality of packaged integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and combinations of various control chips. The processor 30 is the control core (ControlUnit) of the electronic device, and uses various interfaces and lines to connect various components of the entire electronic device, and executes various functions and processes data of the electronic device by running or executing programs or modules stored in the memory 31 (for example, executing engineering safety supervision programs based on artificial intelligence, etc.), and calling data stored in the memory 31.

[0130] The memory 31 includes at least one type of readable storage medium, and the readable storage medium includes a flash memory, a mobile hard disk, a multimedia card, a card-type memory (for example, an SD or DX memory, etc.), a magnetic memory, a disk, an optical disk, etc. In some embodiments, the memory 31 may be an internal storage unit of an electronic device, such as a mobile hard disk of the electronic device. In other embodiments, the memory 31 may also be an external storage device of an electronic device, such as a plug-in mobile hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device. Further, the memory 31 may also include both an internal storage unit of the electronic device and an external storage device. The memory 31 may not only be used to store application software and various types of data installed in the electronic device, such as the code of the database configuration connection program, but also be used to temporarily store data that has been output or is to be output.

[0131] The communication bus 32 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is configured to realize connection and communication between the memory 31 and at least one processor 30, etc.

[0132] The communication interface 33 is used for communication between the above-mentioned electronic device 3 and other devices, including a network interface and a user interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device and other electronic devices. The user interface may be a display (Display), an input unit (such as a keyboard (Keyboard)), and optionally, the user interface may also be a standard wired interface, a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode, organic light-emitting diode) touch device, etc. Among them, the display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the electronic device and to display a visual user interface.

[0133] Figure 3 Only an electronic device with components is shown, and those skilled in the art will understand that Figure 3 The structure shown does not constitute a limitation on the electronic device, and may include fewer or more components than shown in the figure, or combine certain components, or arrange the components differently.

[0134] For example, although not shown, the electronic device may also include a power source (such as a battery) for supplying power to various components. Preferably, the power source may be logically connected to the at least one processor 30 through a power management device, so that the power management device can realize functions such as charging management, discharging management, and power consumption management. The power source may also include any components such as one or more DC or AC power sources, recharging devices, power failure detection circuits, power converters or inverters, power status indicators, etc. The electronic device may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

[0135] It should be understood that the embodiment is for illustrative purposes only and the scope of the patent invention is not limited to this structure.

[0136] The database configuration connection program stored in the memory 31 in the electronic device is a combination of multiple computer programs. When running in the processor 30, it can achieve:

[0137] Determine a communication area in a communication scenario, analyze communication requirements corresponding to the communication area, query key communication indicators in the communication requirements, extract indicator parameters in the key communication indicators, and calculate the echo coefficient corresponding to the indicator parameters;

[0138] Based on the echo coefficient, query the communication environment corresponding to the communication scenario, collect communication parameters in the communication environment, convert the communication parameters into a communication frequency band curve, extract frequency band parameters in the communication frequency band curve, and perform data aggregation on the frequency band parameters to obtain an aggregated data set;

[0139] After uploading the data in the aggregated data set to a preset edge node, extracting an aggregation factor of the data in the aggregated data set, and querying a data transmission protocol corresponding to the data in the aggregated data set based on the aggregation factor;

[0140] Based on the data transmission protocol, adjust the data transmission path corresponding to the preset 5G communication cloud platform, and monitor the data transmission rate and data frequency corresponding to the data transmission path in real time; based on the data transmission rate and the data frequency, calculate the data bandwidth corresponding to the data in the aggregated data set;

[0141] Based on the data bandwidth, configure the device parameters in the preset edge communication device, extract the center power and the resonant frequency in the device parameters, calculate the response frequency of the communication data in the communication scenario based on the center power and the resonant frequency, and generate the edge communication scheme corresponding to the communication scenario based on the response frequency.

[0142] Specifically, the specific implementation method of the processor 30 for the above computer program can refer to Figure 1 The description of the relevant steps in the corresponding embodiments will not be repeated here.

[0143] Furthermore, if the module / unit integrated in the electronic device is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a non-volatile computer-readable storage medium. The storage medium can be volatile or non-volatile. For example, the computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM).

[0144] The present invention further provides a storage medium, wherein the readable storage medium stores a computer program, and when the computer program is executed by a processor of an electronic device, the computer program can implement:

[0145] Determine a communication area in a communication scenario, analyze communication requirements corresponding to the communication area, query key communication indicators in the communication requirements, extract indicator parameters in the key communication indicators, and calculate the echo coefficient corresponding to the indicator parameters;

[0146] Based on the echo coefficient, query the communication environment corresponding to the communication scenario, collect communication parameters in the communication environment, convert the communication parameters into a communication frequency band curve, extract frequency band parameters in the communication frequency band curve, and perform data aggregation on the frequency band parameters to obtain an aggregated data set;

[0147] After uploading the data in the aggregated data set to a preset edge node, extracting an aggregation factor of the data in the aggregated data set, and querying a data transmission protocol corresponding to the data in the aggregated data set based on the aggregation factor;

[0148] Based on the data transmission protocol, adjust the data transmission path corresponding to the preset 5G communication cloud platform, and monitor the data transmission rate and data frequency corresponding to the data transmission path in real time; based on the data transmission rate and the data frequency, calculate the data bandwidth corresponding to the data in the aggregated data set;

[0149] Based on the data bandwidth, configure the device parameters in the preset edge communication device, extract the center power and the resonant frequency in the device parameters, calculate the response frequency of the communication data in the communication scenario based on the center power and the resonant frequency, and generate the edge communication scheme corresponding to the communication scenario based on the response frequency.

[0150] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, apparatuses and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation.

[0151] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0152] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0153] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0154] It should be noted that, in this article, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0155] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features invented herein.

Claims

1. An edge communication method based on big data combined with 5G technology, characterized in that: The method comprises: Determine a communication area in a communication scenario, analyze communication requirements corresponding to the communication area, query key communication indicators in the communication requirements, extract indicator parameters in the key communication indicators, and calculate the echo coefficient corresponding to the indicator parameters; Based on the echo coefficient, query the communication environment corresponding to the communication scenario, collect communication parameters in the communication environment, convert the communication parameters into a communication frequency band curve, extract frequency band parameters in the communication frequency band curve, and perform data aggregation on the frequency band parameters to obtain an aggregated data set; After uploading the data in the aggregated data set to a preset edge node, extracting an aggregation factor of the data in the aggregated data set, and querying a data transmission protocol corresponding to the data in the aggregated data set based on the aggregation factor; Based on the data transmission protocol, adjust the data transmission path corresponding to the preset 5G communication cloud platform, and monitor the data transmission rate and data frequency corresponding to the data transmission path in real time; based on the data transmission rate and the data frequency, calculate the data bandwidth corresponding to the data in the aggregated data set; Based on the data bandwidth, configure device parameters in a preset edge communication device, extract the center power and the resonant frequency in the device parameters, calculate the response frequency of the communication data in the communication scenario based on the center power and the resonant frequency, and generate an edge communication solution corresponding to the communication scenario based on the response frequency; The calculating, based on the center power and the resonant frequency, a response frequency of the communication data in the communication scenario includes: The response frequency of the communication data in the communication scenario is calculated using the following formula: in, represents the response frequency of communication data in the communication scenario, represents the center power with respect to the angular frequency The function of represents the time variable, represents the ratio of resonant frequency to bandwidth, represents the number of parameters of communication data in the communication scenario, Indicates the matrix order corresponding to the communication data in the communication scenario; The calculating the echo coefficient corresponding to the indicator parameter includes: querying the indicator path corresponding to the indicator parameter; and identifying the communication frequency corresponding to the indicator path; and calculating the echo coefficient corresponding to the indicator parameter based on the indicator path and the communication frequency using the following formula: Wherein, Γ represents the echo coefficient corresponding to the index parameter, Indicates the path index corresponding to the indicator path, Indicates the number of paths corresponding to the indicator path, Indicates The communication frequency of the indicator paths, Indicates The path loss of the index path, Indicates The data transmission distance of the indicator path, Indicates The signal-to-noise ratio of the indicator path, represents the length of the indicator path, Represents the path matrix corresponding to the indicator path, where represents the carrier power, Indicates the transmit power, represents the received power, Indicates attenuation; The calculating, based on the data transmission rate and the data frequency, a data bandwidth corresponding to the data in the aggregated data set includes: The data bandwidth corresponding to the data in the aggregated data set is calculated using the following formula: in, represents the data bandwidth corresponding to the data in the aggregated data set, represents the data item index corresponding to the data in the aggregated data set, represents the number of data items corresponding to the data in the aggregated data set, Representative data size, used to represent the amount of each data in the aggregated data set, represents the data transmission rate, Indicates the data frequency.

2. The edge communication method based on big data combined with 5G technology as claimed in claim 1, characterized in that: The querying of the key communication indicators in the communication requirements includes: Determining a demand target corresponding to the communication demand, and configuring communication parameters in a preset communication device based on the demand target; Based on the communication parameters, detecting the network connection status of the preset communication device; measuring a communication delay in the network connection state, and measuring a communication throughput in the network connection state; Measuring a communication packet loss rate in the network connection state; Based on the communication delay, the communication throughput and the communication packet loss rate, key communication indicators in the communication demand are analyzed.

3. The edge communication method based on big data combined with 5G technology as claimed in claim 1, characterized in that: The querying, based on the echo coefficient, a communication environment corresponding to the communication scenario includes: determining an echo channel corresponding to the echo coefficient, and identifying a channel feature in the echo channel; Based on the channel characteristics, construct an environmental channel framework corresponding to the communication scenario; Based on the environmental channel framework, a communication environment corresponding to the communication scenario is queried.

4. The edge communication method based on big data combined with 5G technology as claimed in claim 1, characterized in that: The step of aggregating the frequency band parameters to obtain an aggregated data set includes: Identifying original frequency band data corresponding to the frequency band parameter, and determining a frequency band range corresponding to the original frequency band data; Based on the frequency band range, removing abnormal frequency bands in the frequency band parameters to obtain frequency band quality data; The frequency band quality data is aggregated using a preset aggregation function to obtain an aggregated data set.

5. The edge communication method based on big data combined with 5G technology as claimed in claim 1, characterized in that: The querying, based on the aggregation factor, of the data transmission protocol corresponding to the data in the aggregated data set includes: Querying a key factor in the aggregation factor, and identifying a data item corresponding to the key factor; Based on the data item, determining an identifier corresponding to the aggregated data set; Based on the identifier, extracting a transmission protocol number corresponding to the data in the aggregated data set; Based on the transmission protocol number, the data transmission protocol corresponding to the data in the aggregated data set is queried.

6. The edge communication method based on big data combined with 5G technology as claimed in claim 1, characterized in that: The adjusting the data transmission path corresponding to the preset 5G communication cloud platform based on the data transmission protocol includes: Analyze the protocol characteristics corresponding to the data transmission protocol and identify the data traffic pattern of the preset 5G communication cloud platform; Based on the protocol characteristics and the data traffic pattern, construct a path optimization module corresponding to the 5G communication cloud platform; The path optimization module is used to adjust the data transmission path corresponding to the preset 5G communication cloud platform.

7. The edge communication system based on big data combined with 5G technology is characterized by: Used to execute the edge communication method based on big data combined with 5G technology as described in any one of claims 1-6, the system includes: An echo coefficient calculation module is used to determine a communication area in a communication scenario, analyze a communication demand corresponding to the communication area, query a key communication indicator in the communication demand, extract an indicator parameter in the key communication indicator, and calculate an echo coefficient corresponding to the indicator parameter; A data aggregation module, used to query the communication environment corresponding to the communication scenario based on the echo coefficient, collect communication parameters in the communication environment, convert the communication parameters into a communication frequency band curve, extract the frequency band parameters in the communication frequency band curve, perform data aggregation on the frequency band parameters, and obtain an aggregated data set; A protocol query module, configured to extract an aggregation factor of the data in the aggregated data set after uploading the data in the aggregated data set to a preset edge node, and query a data transmission protocol corresponding to the data in the aggregated data set based on the aggregation factor; A bandwidth calculation module is used to adjust the data transmission path corresponding to the preset 5G communication cloud platform based on the data transmission protocol, and monitor the data transmission rate and data frequency corresponding to the data transmission path in real time; based on the data transmission rate and the data frequency, calculate the data bandwidth corresponding to the data in the aggregated data set; A scheme generation module is used to configure device parameters in a preset edge communication device based on the data bandwidth, extract the center power and the resonant frequency in the device parameters, calculate the response frequency of the communication data in the communication scenario based on the center power and the resonant frequency, and generate an edge communication scheme corresponding to the communication scenario based on the response frequency.

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