Disclosure of Invention
The invention provides an edge communication method and system based on big data combined with a 5G technology, and mainly aims to improve the communication efficiency and stability of edge communication.
Determining a communication area in a communication scene, analyzing a communication requirement corresponding to the communication area, inquiring a key communication index in the communication requirement, extracting index parameters in the key communication index, and calculating an echo coefficient corresponding to the index parameters;
Inquiring a communication environment corresponding to the communication scene based on the echo coefficient, collecting communication parameters in the communication environment, converting the communication parameters into a communication frequency band curve, extracting frequency band parameters in the communication frequency band curve, and carrying out data aggregation on the frequency band parameters to obtain an aggregation 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 inquiring a data transmission protocol corresponding to the data in the aggregated data set based on the aggregation factor;
Based on the data transmission protocol, adjusting a data transmission path corresponding to a preset 5G communication cloud platform, and monitoring the data transmission rate and the data frequency corresponding to the data transmission path in real time;
And configuring equipment parameters in preset edge communication equipment based on the data bandwidth, extracting center power and resonance frequency in the equipment parameters, calculating response frequency of communication data in the communication scene based on the center power and the resonance frequency, and generating an edge communication scheme corresponding to the communication scene based on the response frequency.
Optionally, the querying the key communication indicators in the communication requirement includes:
Determining a demand target corresponding to the communication demand, and configuring communication parameters in preset communication equipment based on the demand target;
detecting a network connection state of the preset communication equipment based on the communication parameters;
measuring a communication delay in the network connection state, and measuring a communication throughput in the network connection state;
measuring the communication packet loss rate in the network connection state;
And analyzing key communication indexes in the communication requirements based on the communication delay, the communication throughput and the communication packet loss rate.
Optionally, the calculating the echo coefficient corresponding to the index parameter includes inquiring an index path corresponding to the index parameter, identifying a communication frequency corresponding to the index path, and calculating the echo coefficient corresponding to the index parameter based on the index path and the communication frequency by using the following formula:
wherein Γ represents the echo coefficient corresponding to the index parameter,Represents the path index corresponding to the index path,Indicating the number of paths corresponding to the index path,Represent the firstThe communication frequency of the path is indicated,Represent the firstThe path loss of the path is indicated by the bar,Represent the firstThe data transmission distance of the indicator path,Represent the firstThe signal to noise ratio of the indicator path,Indicating the length of the indicator path,Representing a path matrix corresponding to the index path, whereinRepresenting the power of the carrier wave,Which is indicative of the transmit power,Representing the received power of the signal,Representing the attenuation.
Optionally, the querying, based on the echo coefficient, a communication environment corresponding to the communication scene includes:
Determining an echo channel corresponding to the echo coefficient, and identifying channel characteristics in the echo channel;
Based on the channel characteristics, constructing an environment channel frame corresponding to the communication scene;
And inquiring the communication environment corresponding to the communication scene based on the environment channel framework.
Optionally, the data aggregating the frequency band parameters to obtain an aggregate data set includes:
Identifying original frequency band data corresponding to the frequency band parameters, and determining a frequency band range corresponding to the original frequency band data;
removing abnormal frequency bands in the frequency band parameters based on the frequency band range to obtain frequency band quality data;
and carrying out data aggregation on the frequency band quality data by using a preset aggregation function to obtain an aggregation data set.
Optionally, the querying, based on the aggregation factor, a data transmission protocol corresponding to the data in the aggregated data set includes:
Inquiring key factors in the aggregation factors, and identifying data items corresponding to the key factors;
Determining an identifier corresponding to the aggregated data set based on the data item;
Extracting a transmission protocol number corresponding to the data in the aggregated data set based on the identifier;
and inquiring a data transmission protocol corresponding to the data in the aggregated data set based on the transmission protocol number.
Optionally, based on the data transmission protocol, adjusting a data transmission path corresponding to a preset 5G communication cloud platform includes:
analyzing protocol characteristics corresponding to the data transmission protocol, and identifying a data flow mode of a preset 5G communication cloud platform;
constructing a path optimization module corresponding to the 5G communication cloud platform based on the protocol characteristics and the data traffic mode;
And adjusting a data transmission path corresponding to the preset 5G communication cloud platform by using the path optimization module.
Optionally, the calculating, based on the data transmission rate and the data frequency, a data bandwidth corresponding to data in the aggregate data set includes:
calculating the data bandwidth corresponding to the data in the aggregated data set by using the following formula:
Wherein,Representing the data bandwidth corresponding to the data in the aggregate dataset,Representing the index of data items corresponding to the data in the aggregate dataset,Representing the number of data items corresponding to the data in the aggregated dataset,Represents the firstA data size representing the respective data amounts in the aggregate data set,Which is indicative of the data transmission rate,Representing the data frequency.
Optionally, the calculating, based on the center power and the resonance frequency, a response frequency of communication data in the communication scenario includes:
Calculating the response frequency of communication data in the communication scene by using the following formula:
Wherein,Representing the response frequency of communication data in the communication scenario,Indicating the center power with respect to angular frequencyIs a function of (a) and (b),A variable of the time is represented and,Representing the ratio of the resonant frequency to the bandwidth,The number of parameters representing communication data in the communication scenario,And representing the matrix order corresponding to the communication data in the communication scene.
In order to solve the above problems, the present invention further provides an edge communication system based on big data in combination with 5G technology, the system comprising:
The echo coefficient calculation module is used for determining a communication area in a communication scene, analyzing a communication requirement corresponding to the communication area, inquiring a key communication index in the communication requirement, extracting index parameters in the key communication index, and calculating an echo coefficient corresponding to the index parameters;
The data aggregation module is used for inquiring the communication environment corresponding to the communication scene based on the echo coefficient, collecting communication parameters in the communication environment, converting the communication parameters into a communication frequency band curve, extracting frequency band parameters in the communication frequency band curve, and carrying out data aggregation on the frequency band parameters to obtain an aggregation data set;
The protocol query module is used for extracting 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 querying a data transmission protocol corresponding to the data in the aggregated data set based on the aggregation factor;
The bandwidth calculation module is used for adjusting a data transmission path corresponding to a preset 5G communication cloud platform based on the data transmission protocol, and monitoring the data transmission rate and the data frequency corresponding to the data transmission path in real time;
The scheme generating module is used for configuring equipment parameters in preset edge communication equipment based on the data bandwidth, extracting center power and resonance frequency in the equipment parameters, calculating response frequency of communication data in the communication scene based on the center power and the resonance frequency, and generating an edge communication scheme corresponding to the communication scene based on the response frequency.
Firstly, the invention analyzes the communication requirement corresponding to the communication region by determining the communication region in the communication scene, and better performs network planning and resource allocation by deeply knowing the communication region and the requirement in the communication scene, thereby improving the communication efficiency and performance, meanwhile, the invention queries the communication environment corresponding to the communication scene based on the echo coefficient, is helpful for positioning potential interference sources or signal attenuation factors, further optimizes the design of the communication system, improves the transmission performance, and plans resources to adapt to various communication environment conditions, thereby improving the stability of the communication network, extracts the aggregation factors of the data in the aggregation data set after uploading the data in the aggregation data set to a preset edge node, the invention can reduce data transmission delay, reduce overall network load, protect data privacy, promote faster decision making and intelligent system construction, and secondly, based on the data transmission protocol, adjust the data transmission path corresponding to the preset 5G communication cloud platform, realize the balance of optimal network performance and resource utilization rate, optimize data flow distribution, improve communication efficiency, and simultaneously, effectively reduce delay, improve bandwidth utilization rate, ensure communication quality and stability. Therefore, the edge communication method and the system based on big data combined with the 5G technology can improve the communication efficiency and the stability of the edge communication.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The embodiment of the application provides an edge communication method based on big data combined with a 5G technology. The execution main body of the edge communication method based on big data combined with 5G technology comprises at least one of a server, a terminal and the like which can be configured to execute the method provided by the embodiment of the application. In other words, the edge communication method based on big data combined with 5G technology may be performed by software or hardware installed in a terminal device or a server device, and the software may be a blockchain platform. The server side comprises, but is not limited to, a single server, a server cluster, a cloud server or a cloud server cluster and the like. The server may be an independent server, or may 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.
Referring to fig. 1, a flow chart of an edge communication method based on big data combined with 5G technology according to an embodiment of the present invention is shown. In this embodiment, the edge communication method based on big data combined with 5G technology includes:
s1, determining a communication area in a communication scene, analyzing a communication requirement corresponding to the communication area, inquiring a key communication index in the communication requirement, extracting index parameters in the key communication index, and calculating an echo coefficient corresponding to the index parameters.
According to the invention, the communication area in the communication scene is determined, the communication requirement corresponding to the communication area is analyzed, and the network planning and the resource allocation can be better performed by deeply knowing the communication area and the requirement in the communication scene, so that the communication efficiency and the performance are improved.
The communication scene refers to a specific environment or condition for communication activities, the communication area refers to an area or range with specific meaning and function in the communication scene, the communication requirement refers to a specific requirement or expectation of a user or equipment on a communication system under the specific communication scene, wherein the specific requirement or expectation comprises requirements on data transmission speed, network coverage, connection stability, safety and the like, optionally, the communication area in the determined communication scene can be obtained through wireless signal coverage model implementation, such as FSPL model, okumura-Hata model and the like, and the communication requirement corresponding to the communication area can be obtained through network planning tool implementation, such as Atoll, TEMS Investigation and the like.
Further, the invention can find and solve network faults in time by inquiring the key communication indexes in the communication demands, ensures the stable operation of the network, and is beneficial to optimizing the network architecture and configuration, thereby improving the service quality and the user experience.
Wherein the key communication index refers to an important parameter or index used for measuring and evaluating communication performance in the communication system.
The method comprises the steps of determining a demand target corresponding to the communication demand, configuring communication parameters in preset communication equipment based on the demand target, detecting a network connection state of the preset communication equipment based on the communication parameters, measuring communication delay in the network connection state, measuring communication throughput in the network connection state, measuring communication packet loss rate in the network connection state, and analyzing the key communication index in the communication demand based on the communication delay, the communication throughput and the communication packet loss rate.
The demand target refers to a specific target or purpose of communication demand, such as realizing high-quality video conference, providing stable remote access service and the like, the communication parameter refers to a configurable parameter in preset communication equipment, such as bandwidth, frequency, power and the like, the network connection state refers to connection status between the communication equipment and a network, the connection stability, delay, throughput and data transmission quality are included, the communication delay refers to time required by data from a sending end to a receiving end, usually in milliseconds, the communication throughput refers to data quantity transmitted through the network in unit time, usually expressed in bits/second or bytes/second, and the communication packet loss rate refers to proportion of lost data packets in the data transmission process.
Further, the requirement target corresponding to the communication requirement can be obtained through a requirement engineering model, such as a classical level model, an incremental model and the like, the communication parameters in the communication equipment preset by configuration can be obtained through a network simulation tool, such as PACKET TRACER, GNS3 and the like, the network connection state of the communication equipment preset by detection can be obtained through a network monitoring tool, such as WIRESHARK, NAGIOS and the like, the communication delay, the communication throughput and the communication packet loss rate in the network connection state can be measured through a network performance testing tool, such as PingPlotter, iPerf and the like, and the key communication indexes in the communication requirement can be obtained through a data analysis and performance evaluation method, such as statistical analysis and a machine learning algorithm.
According to the method and the device for the data transmission, the index parameters in the key communication indexes are extracted, the echo coefficients corresponding to the index parameters are calculated, different environment conditions can be better adapted, the accuracy and the reliability of the data transmission are improved, and therefore overall communication quality and user experience are comprehensively improved.
The index parameter refers to key parameters of the performance of the communication system, such as data transmission rate, signal-to-noise ratio, bit error rate, bandwidth, delay and the like, and the echo coefficient refers to reflection or response coefficient of the index parameter in a corresponding environment in the communication system.
As one embodiment of the invention, the calculation of the echo coefficient corresponding to the index parameter comprises the steps of inquiring an index path corresponding to the index parameter, identifying the communication frequency corresponding to the index path, and calculating the echo coefficient corresponding to the index parameter based on the index path and the communication frequency by using the following formula:
wherein Γ represents the echo coefficient corresponding to the index parameter,Represents the path index corresponding to the index path,Indicating the number of paths corresponding to the index path,Represent the firstThe communication frequency of the path is indicated,Represent the firstThe path loss of the path is indicated by the bar,Represent the firstThe data transmission distance of the indicator path,Represent the firstThe signal to noise ratio of the indicator path,Indicating the length of the indicator path,Representing a path matrix corresponding to the index path, whereinRepresenting the power of the carrier wave,Which is indicative of the transmit power,Representing the received power of the signal,Representing the attenuation.
S2, inquiring a communication environment corresponding to the communication scene based on the echo coefficient, collecting communication parameters in the communication environment, converting the communication parameters into a communication frequency band curve, extracting frequency band parameters in the communication frequency band curve, and carrying out data aggregation on the frequency band parameters to obtain an aggregation data set.
The invention inquires the communication environment corresponding to the communication scene based on the echo coefficient, is favorable for positioning potential interference sources or signal attenuation factors, further optimizes the design of a communication system, improves the transmission performance, and plans resources to adapt to various communication environment conditions, thereby improving the stability of a communication network.
The communication environment refers to the scene and condition in the signal transmission process, including multipath fading, shadow effect, multiuser interference and other factors.
The method comprises the steps of determining an echo channel corresponding to the echo coefficient, identifying channel characteristics in the echo channel, constructing an environment channel framework corresponding to the communication scene based on the channel characteristics, and inquiring the communication environment corresponding to the communication scene based on the environment channel framework.
The echo channel refers to a channel encountered when data is transmitted from a transmitting end to a receiving end and returned, the channel characteristics refer to various attributes existing in the echo channel, such as multipath effect, time-varying property, spectrum fading and the like, and the environment channel framework refers to a model established based on the channel characteristics and used for describing channel behaviors in a communication environment.
Further, the determining of the echo channel corresponding to the echo coefficient can be achieved through a channel estimation algorithm, such as an LMS algorithm, an MLE algorithm and the like, the identifying of the channel characteristics in the echo channel can be achieved through channel spectral density analysis or autocorrelation function analysis, the constructing of the environment channel frame corresponding to the communication scene can be achieved through a network simulation tool, such as MATLAB, simulink, ns-3 and the like, and the inquiring of the communication environment corresponding to the communication scene can be achieved through a channel model, such as AWGN, rayleigh, rician and the like.
The invention converts the communication parameters into the communication frequency band curve by collecting the communication parameters in the communication environment, thereby being beneficial to comprehensively knowing the signal characteristics and the transmission conditions in the communication environment and optimizing the design and the deployment of a communication system.
The communication parameters refer to settings or attributes related to communication, such as data transmission rate, frequency, coding and decoding formats, the communication frequency band curve refers to a curve describing the change of signal strength or bandwidth of a specific communication frequency band along with the change of frequency, in detail, the acquisition of the communication parameters in the communication environment can be achieved through a parameter acquisition tool, such as WIRESHARK, NETSPOT, and the conversion of the communication parameters into the communication frequency band curve can be achieved through a curve conversion tool, such as MATLAB, GNU Radio, and other tools.
Furthermore, the invention carries out data aggregation on the frequency band parameters by extracting the frequency band parameters in the communication frequency band curve to obtain an aggregated data set, can optimize a communication system, and can adjust antenna or channel selection according to the aggregated data set, thereby providing a foundation for formulating a spectrum allocation policy and optimizing the spectrum allocation policy.
The frequency band parameters refer to various indexes describing different frequency band characteristics in a communication frequency band curve, such as signal strength, signal to noise ratio, bandwidth utilization rate and the like, and the aggregation data set refers to a final data set obtained by integrating aggregation results of each frequency band.
According to one embodiment of the invention, the data aggregation is performed on the frequency band parameters to obtain an aggregation data set, and the data aggregation comprises the steps of identifying original frequency band data corresponding to the frequency band parameters, determining a frequency band range corresponding to the original frequency band data, removing abnormal frequency bands in the frequency band parameters based on the frequency band range to obtain frequency band quality data, and performing data aggregation on the frequency band quality data by using a preset aggregation function to obtain the aggregation data set.
Wherein, the original frequency band data refers to unprocessed or modified frequency band parameter values; the frequency band range refers to the starting frequency and the 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 abnormal frequency bands are removed, the preset aggregation function refers to a function which is defined in advance and used for conducting aggregation operation on the frequency band quality data, such as mean value, maximum value and minimum value, and the aggregation data set refers to a final data set obtained by integrating aggregation results of each frequency band.
Further, the identification of the original frequency band data corresponding to the frequency band parameters can be achieved through pandas libraries in Python, the determination of the frequency band range corresponding to the original frequency band data can be achieved through a frequency spectrum analysis tool, such as a GNU Radio tool, the removal of abnormal frequency bands in the frequency band parameters can be achieved through an outlier detection algorithm, such as a Z-Score method, an IQR method and the like, and the data aggregation of the frequency band quality data through a preset aggregation function can be achieved through a preset aggregation function.
S3, 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 inquiring a data transmission protocol corresponding to the data in the aggregated data set based on the aggregation factor.
According to the invention, after the data in the aggregated data set is uploaded to the preset edge node, the aggregation factor of the data in the aggregated data set is extracted, so that the data transmission delay can be reduced, the overall network load is reduced, the data privacy is protected, and faster decision making and intelligent system construction are promoted.
The preset edge node refers to a computing node which is determined in advance and is located at the edge of the network and is used for carrying out partial processing and storage at a place where data is generated, the aggregation factor refers to relevant data characteristics or statistics, such as average values and sum values, obtained through data aggregation calculation, optionally, the uploading of 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, and the extracting of 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.
Based on the aggregation factor, the data transmission protocol corresponding to the data in the aggregated data set is inquired, so that the data cannot be lost, tampered or mistaken in the transmission process, and the data can be processed and analyzed according to a preset rule, and the reliability and the stability of data transmission are improved.
Wherein the data transfer protocol refers to a set of rules and conventions for transferring data between different systems.
The method comprises the steps of inquiring a key factor in the aggregation factor, identifying a data item corresponding to the key factor, determining an identifier corresponding to the aggregation data set based on the data item, extracting a transmission protocol number corresponding to data in the aggregation data set based on the identifier, and inquiring a data transmission protocol corresponding to the data in the aggregation data set based on the transmission protocol number.
The key factors are factors or characteristics with important significance in an aggregated data set and are used for grouping or screening data, the data items are specific data fields or attributes associated with the key factors, the identifiers are identifiers used for uniquely identifying specific data in the aggregated data set, and the transmission protocol numbers are identifiers of transmission protocols corresponding to the specific data in the aggregated data set.
Further, the key factors in the aggregate factors can be obtained through feature selection algorithms, such as random forest, recursive feature elimination and the like, the data items corresponding to the key factors can be obtained through tools, such as pandas, numpy library, scikit-learn and the like, in Python, the transmission protocol numbers corresponding to the data in the aggregate data set can be obtained through data analysis tools, such as a Wireshark packet grabbing tool, and the data transmission protocols corresponding to the data in the aggregate data set can be obtained through network data analysis tools, such as Zeek network security monitoring tools, ELK Stack and the like.
And S4, adjusting a data transmission path corresponding to a preset 5G communication cloud platform based on the data transmission protocol, monitoring the data transmission rate and the data frequency corresponding to the data transmission path in real time, and calculating the data bandwidth corresponding to the data in the aggregated data set based on the data transmission rate and the data frequency.
Based on the data transmission protocol, the invention adjusts the data transmission path corresponding to the preset 5G communication cloud platform, can realize the balance of the optimal network performance and the resource utilization rate, optimize the data flow distribution, improve the communication efficiency, and simultaneously effectively reduce the delay, improve the bandwidth utilization rate and ensure the communication quality and the stability.
The preset 5G communication cloud platform refers to a network architecture constructed based on a fifth generation mobile communication technology (5G), and comprises integration of advanced technologies such as cloud computing, virtualization, software Defined Networking (SDN), network Function Virtualization (NFV) and the like, wherein the data transmission path refers to a transmission path from a sending end to a receiving end, and comprises an intermediate node and a transmission mode.
The method comprises the steps of analyzing protocol characteristics corresponding to a data transmission protocol, identifying a data flow mode of the preset 5G communication cloud platform, constructing a path optimization module corresponding to the 5G communication cloud platform based on the protocol characteristics and the data flow mode, and adjusting the data transmission path corresponding to the preset 5G communication cloud platform by using the path optimization module.
The protocol characteristics are specific characteristics and specifications of a data transmission protocol, such as a data packet format, a transmission rate, an error detection and correction mechanism and the like, the data flow mode refers to a mode and characteristics of data transmission on a 5G communication cloud platform, the data flow mode comprises data volume size, transmission frequency, priority and the like, and the path optimization module refers to a module designed based on the protocol characteristics and the data flow mode.
Further, the analysis of the protocol characteristics corresponding to the data transmission protocol can be achieved through an open source network analysis tool, such as a Wireshark tool, the identification of the data traffic pattern of the preset 5G communication cloud platform can be achieved through a data mining technology, such as K-means clustering, the construction of a path optimization module corresponding to the 5G communication cloud platform can be achieved through a reinforcement learning algorithm, such as a Q-learning algorithm, and the data transmission path corresponding to the preset 5G communication cloud platform can be achieved through the utilization of the path optimization module.
The invention can discover potential faults or bottlenecks in time by monitoring the data transmission rate and the data frequency corresponding to the data transmission path in real time, and improves the communication efficiency and performance, thereby optimizing the resource utilization, reducing the delay and guaranteeing the safety and the reliability of data transmission.
The data transmission rate is the speed of data passing through a transmission medium in unit time, and is usually expressed in terms of bit rate or byte rate, the data frequency is the frequency of change in the waveform of a data signal, namely the frequency of signal oscillation per second, usually in terms of hertz, and optionally, the data transmission rate and the data frequency corresponding to the real-time monitoring of the data transmission path can be obtained through network performance monitoring tools, such as WIRESHARK, SOLARWINDS.
Based on the data transmission rate and the data frequency, the data bandwidth corresponding to the data in the aggregated data set is calculated, potential faults or bottlenecks can be found in time, delay is effectively reduced, data transmission safety and reliability are improved, and therefore more efficient resource management, network planning and service quality guarantee are achieved.
Wherein, the data bandwidth refers to the data quantity transmitted in unit time.
As one embodiment of the present invention, the calculating, based on the data transmission rate and the data frequency, a data bandwidth corresponding to data in the aggregate dataset includes:
calculating the data bandwidth corresponding to the data in the aggregated data set by using the following formula:
Wherein,Representing the data bandwidth corresponding to the data in the aggregate dataset,Representing the index of data items corresponding to the data in the aggregate dataset,Representing the number of data items corresponding to the data in the aggregated dataset,Represents the firstA data size representing the respective data amounts in the aggregate data set,Which is indicative of the data transmission rate,Representing the data frequency.
S5, configuring equipment parameters in preset edge communication equipment based on the data bandwidth, extracting center power and resonance frequency in the equipment parameters, calculating response frequency of communication data in the communication scene based on the center power and the resonance frequency, and generating an edge communication scheme corresponding to the communication scene based on the response frequency.
The invention configures the equipment parameters in the preset edge communication equipment based on the data bandwidth, is beneficial to optimizing the network performance, improving the data processing speed and ensuring smooth communication between the equipment, thereby enhancing the stability and reliability of the whole system.
The preset edge communication equipment refers to various intelligent equipment such as an edge server, an edge router, a sensor node and the like which operate in an edge computing environment, wherein the equipment parameters are attribute settings of pointers to the edge communication equipment, including data transmission rate, protocol specifications, buffer zone size and the like, and optionally, the equipment parameters in the preset edge communication equipment can be obtained through optimization algorithm realization, such as genetic algorithm, particle swarm algorithm, simulated annealing algorithm and the like.
The invention can improve the energy efficiency of the equipment, reduce the power consumption and promote the stable operation of the system by extracting the central power and the resonance frequency in the equipment parameters, and is beneficial to realizing more effective energy utilization and resource allocation, thereby improving the performance and the reliability of the whole system.
The central power refers to an average power level required by equipment in a working process, and generally represents a core parameter of the whole energy consumption condition of the equipment, the resonance frequency refers to a frequency point of the equipment for generating resonance phenomenon on an external excitation signal under a specific frequency, and the frequency is a frequency of the equipment for displaying maximum efficiency when responding to the external signal, and optionally, the central power and the resonance frequency in the parameter of the equipment can be obtained through circuit simulation tools, such as LTspice, PSpice and the like.
As one 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 resonance frequency includes:
Calculating the response frequency of communication data in the communication scene by using the following formula:
Wherein,Representing the response frequency of communication data in the communication scenario,Indicating the center power with respect to angular frequencyIs a function of (a) and (b),A variable of the time is represented and,Representing the ratio of the resonant frequency to the bandwidth,The number of parameters representing communication data in the communication scenario,And representing the matrix order corresponding to the communication data in the communication scene.
The invention generates the edge communication scheme corresponding to the communication scene based on the response frequency, can effectively reduce energy consumption, lower maintenance cost, improve network safety, and can optimize the utilization rate of communication network resources to the greatest extent and improve communication efficiency.
The edge communication scheme refers to a communication architecture, wherein functions of data processing, storage, transmission and the like are performed at a network edge closer to a data generation source, instead of being all centralized in a central data center or cloud service, so that computing resources can be as close to the data source as possible, faster data processing and response time can be achieved, network congestion and delay are reduced, communication efficiency and performance are improved, optionally, the edge communication scheme corresponding to the generated communication scene can be achieved by combining edge calculation with traditional cloud calculation, and the edge communication scheme can be better adapted to requirements of various communication scenes, including the fields of internet of things, intelligent cities, industrial automation and the like, so that an intelligent and efficient communication network is achieved.
Firstly, the invention analyzes the communication requirement corresponding to the communication region by determining the communication region in the communication scene, and better performs network planning and resource allocation by deeply knowing the communication region and the requirement in the communication scene, thereby improving the communication efficiency and performance, meanwhile, the invention queries the communication environment corresponding to the communication scene based on the echo coefficient, is helpful for positioning potential interference sources or signal attenuation factors, further optimizes the design of the communication system, improves the transmission performance, and plans resources to adapt to various communication environment conditions, thereby improving the stability of the communication network, extracts the aggregation factors of the data in the aggregation data set after uploading the data in the aggregation data set to a preset edge node, the invention can reduce data transmission delay, reduce overall network load, protect data privacy, promote faster decision making and intelligent system construction, and secondly, based on the data transmission protocol, adjust the data transmission path corresponding to the preset 5G communication cloud platform, realize the balance of optimal network performance and resource utilization rate, optimize data flow distribution, improve communication efficiency, and simultaneously, effectively reduce delay, improve bandwidth utilization rate, ensure communication quality and stability. Therefore, the edge communication method and the system based on big data combined with the 5G technology can improve the communication efficiency and the stability of the edge communication.
Fig. 2 is a functional block diagram of an edge communication system based on big data combined with 5G technology according to an embodiment of the present invention.
The edge communication system 200 based on big data combined with 5G technology according to the present invention can be installed in an electronic device. The edge communication system 200 based on big data combined with 5G technology may include an echo coefficient calculation module 201, a data aggregation module 202, a protocol query module 203, a bandwidth calculation module 204, and a scheme generation module 205, according to the implemented functions. The module of the invention, which may also be referred to as a unit, refers to a series of computer program segments, which are stored in the memory of the electronic device, capable of being executed by the processor of the electronic device and of performing a fixed function.
In the present embodiment, the functions concerning the respective modules/units are as follows:
The echo coefficient calculation module 201 is configured to determine a communication area in a communication scene, analyze a communication requirement corresponding to the communication area, query a key communication index in the communication requirement, extract an index parameter in the key communication index, and calculate an echo coefficient corresponding to the index parameter;
the data aggregation module 202 is configured to query a communication environment corresponding to the communication scene based on the echo coefficient, 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;
the protocol query module 203 is configured to extract an aggregation factor of data in the aggregate data set after uploading the data in the aggregate data set to a preset edge node, and query a data transmission protocol corresponding to the data in the aggregate data set based on the aggregation factor;
The bandwidth calculation module 204 is configured to adjust a data transmission path corresponding to a preset 5G communication cloud platform based on the data transmission protocol, monitor a data transmission rate and a data frequency corresponding to the data transmission path in real time, and calculate a data bandwidth corresponding to data in the aggregate dataset based on the data transmission rate and the data frequency;
The scheme generating module 205 is configured to configure device parameters in a preset edge communication device based on the data bandwidth, extract center power and resonance frequency in the device parameters, calculate response frequency of communication data in the communication scene based on the center power and the resonance frequency, and generate an edge communication scheme corresponding to the communication scene based on the response frequency.
In detail, each module in the edge communication system 200 based on the big data combined 5G technology in the embodiment of the present invention adopts the same technical means as the edge communication method based on the big data combined 5G technology in the drawings, and can generate the same technical effects, which is not described herein.
Fig. 3 is a schematic structural diagram of an electronic device according to the present invention for implementing an edge communication method based on big data combined with 5G technology.
The electronic device may comprise a processor 30, a memory 31, a communication bus 32 and a communication interface 33, and may further comprise a computer program stored in the memory 31 and executable on the processor 30, such as an artificial intelligence based engineering safety supervisor.
The processor 30 may be formed by an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or may be formed by a plurality of integrated circuits packaged with the same function or different functions, including one or more central processing units (Central Processing unit, CPU), microprocessors, digital processing chips, graphics processors, and combinations of various control chips. The processor 30 is a Control Unit (Control Unit) of the electronic device, connects various components of the entire electronic device using various interfaces and lines, executes or executes programs or modules (e.g., an artificial intelligence-based engineering safety supervision program, etc.) stored in the memory 31, and invokes data stored in the memory 31 to perform various functions of the electronic device and process the data.
The memory 31 includes at least one type of readable storage medium including flash memory, a removable hard disk, a multimedia card, a card memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, etc. The memory 31 may in some embodiments be an internal storage unit of the electronic device, such as a mobile hard disk of the electronic device. The memory 31 may also be an external storage device of the electronic device in other embodiments, such as a plug-in mobile hard disk, a smart memory card (SMART MEDIA CARD, SMC), a Secure Digital (SD) card, a flash memory card (FLASH CARD) or the like, which are provided on the electronic device. Further, the memory 31 may also include both an internal storage unit and an external storage device of the electronic device. The memory 31 may be used not only for storing application software installed in an electronic device and various types of data, such as codes of a database-configured connection program, but also for temporarily storing data that has been output or is to be output.
The communication bus 32 may be a peripheral component interconnect standard (PERIPHERAL COMPONENT INTERCONNECT, PCI) bus, or an extended industry standard architecture (extended industry standard architecture, EISA) bus, among others. The bus may be classified as an address bus, a data bus, a control bus, etc. The bus is arranged to enable a connection communication between the memory 31 and at least one processor 30 or the like.
The communication interface 33 is used for communication between the 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 (e.g., WI-FI interface, bluetooth interface, etc.), typically 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), or alternatively a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like. The display may also be referred to as a display screen or display unit, as appropriate, for displaying information processed in the electronic device and for displaying a visual user interface.
Fig. 3 shows only an electronic device with components, and it will be understood by those skilled in the art that the structure shown in fig. 3 is not limiting of the electronic device and may include fewer or more components than shown, or may combine certain components, or a different arrangement of components.
For example, although not shown, the electronic device may further include a power source (such as a battery) for supplying power to the respective components, and preferably, the power source may be logically connected to the at least one processor 30 through a power management device, so that functions of charge management, discharge management, power consumption management, and the like are implemented through the power management device. The power supply may also include one or more of any of a direct current or alternating current power supply, recharging device, power failure detection circuit, power converter or inverter, power status indicator, etc. The electronic device may further include various sensors, bluetooth modules, wi-Fi modules, etc., which are not described herein.
It should be understood that the embodiments described are for illustrative purposes only and are not limited in scope by this configuration.
The database-configured connection program stored in the memory 31 in the electronic device is a combination of a plurality of computer programs, which, when run in the processor 30, can implement:
Determining a communication area in a communication scene, analyzing a communication requirement corresponding to the communication area, inquiring a key communication index in the communication requirement, extracting index parameters in the key communication index, and calculating an echo coefficient corresponding to the index parameters;
Inquiring a communication environment corresponding to the communication scene based on the echo coefficient, collecting communication parameters in the communication environment, converting the communication parameters into a communication frequency band curve, extracting frequency band parameters in the communication frequency band curve, and carrying out data aggregation on the frequency band parameters to obtain an aggregation 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 inquiring a data transmission protocol corresponding to the data in the aggregated data set based on the aggregation factor;
Based on the data transmission protocol, adjusting a data transmission path corresponding to a preset 5G communication cloud platform, and monitoring the data transmission rate and the data frequency corresponding to the data transmission path in real time;
And configuring equipment parameters in preset edge communication equipment based on the data bandwidth, extracting center power and resonance frequency in the equipment parameters, calculating response frequency of communication data in the communication scene based on the center power and the resonance frequency, and generating an edge communication scheme corresponding to the communication scene based on the response frequency.
In particular, the specific implementation method of the processor 30 on the computer program may refer to the description of the relevant steps in the corresponding embodiment of fig. 1, which is not repeated herein.
Further, the electronic device integrated modules/units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a non-volatile computer readable storage medium. The storage medium may be volatile or nonvolatile. For example, the computer readable medium may include any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM).
The present invention also provides a storage medium storing a computer program which, when executed by a processor of an electronic device, can implement:
Determining a communication area in a communication scene, analyzing a communication requirement corresponding to the communication area, inquiring a key communication index in the communication requirement, extracting index parameters in the key communication index, and calculating an echo coefficient corresponding to the index parameters;
Inquiring a communication environment corresponding to the communication scene based on the echo coefficient, collecting communication parameters in the communication environment, converting the communication parameters into a communication frequency band curve, extracting frequency band parameters in the communication frequency band curve, and carrying out data aggregation on the frequency band parameters to obtain an aggregation 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 inquiring a data transmission protocol corresponding to the data in the aggregated data set based on the aggregation factor;
Based on the data transmission protocol, adjusting a data transmission path corresponding to a preset 5G communication cloud platform, and monitoring the data transmission rate and the data frequency corresponding to the data transmission path in real time;
And configuring equipment parameters in preset edge communication equipment based on the data bandwidth, extracting center power and resonance frequency in the equipment parameters, calculating response frequency of communication data in the communication scene based on the center power and the resonance frequency, and generating an edge communication scheme corresponding to the communication scene based on the response frequency.
In the several embodiments provided in the present invention, it should be understood that the disclosed apparatus, device and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is merely a logical function division, and there may be other manners of division when actually implemented.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over 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.
In addition, each functional module in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units can be realized in a form of hardware or a form of hardware and a form of software functional modules.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof.
It should be noted that in this document, relational terms such as "first" and "second" and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises an element.
The foregoing is only a specific embodiment of the invention to enable those skilled in the art to understand or practice the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.