CN116744261B

CN116744261B - Millimeter wave communication network and edge calculation fusion method

Info

Publication number: CN116744261B
Application number: CN202311027851.0A
Authority: CN
Inventors: 戚建淮; 徐国前; 崔宸; 唐娟; 胡金华; 宋晶
Original assignee: Shenzhen Y&D Electronics Information Co Ltd
Current assignee: Shenzhen Y&D Electronics Information Co Ltd
Priority date: 2023-08-16
Filing date: 2023-08-16
Publication date: 2023-11-28
Anticipated expiration: 2043-08-16
Also published as: CN116744261A

Abstract

The invention discloses a millimeter wave communication network and edge calculation fusion method, which comprises the following steps: constructing a communication network infrastructure through millimeter wave ad hoc network technology; the communication network infrastructure is managed by edge computation.

Description

Millimeter wave communication network and edge calculation fusion method

Technical Field

The invention relates to the technical field of 5G mobile communication, in particular to a millimeter wave communication network and edge calculation fusion method.

Background

Currently, digital economy is an important direction of economic transformation and upgrading, and with the vigorous rise times of new technologies, new amateurs and new platforms of 5G, artificial intelligence and the like, digital industrialization and industrial digitization are promoted, and digital technologies are promoted to be deeply fused with economic and social development.

In recent years, as the service rate requirements of microwave communication are larger and larger, the conventional band faces a great challenge due to the limited bandwidth of spectrum, and in the millimeter wave E band, a frequency spectrum of about 10GHz is available, so that high-speed microwave transmission of Gbps and 10Gbps rate class point-to-point (or point-to-multipoint) is easy to realize.

Millimeter waves have the advantages of large bandwidth and high speed, particularly E-band (71G-76G/81G-86G) communication is typical line-of-sight communication, diffraction capacity is poorer than that of a low-frequency band, and the millimeter waves are narrow in the same caliber, difficult to intercept and good in security.

In addition, the spectrum resource is rich, the Internet of things frequency bandwidth is high in anti-interference capability; the frequency band is high and clean, and the transmission reliability is higher. The ultra-high quality service can be provided by deploying the millimeter waves, and in a high-flow area, the problem of hot spot flow can be effectively solved by deploying the millimeter waves to perform accurate coverage and distribution.

First, a "train-ground" intelligent communication network edge cloud infrastructure is built based on 5G millimeter waves.

The method comprises the steps of firstly, establishing a 5G millimeter wave and edge cloud computing fusion network, wherein the 5G millimeter wave communication access network, a Multi-access edge computing (MEC, multi-Acess Edge Computin) service platform and an edge cloud computing OICT fusion platform are included and are used for supporting a full-connection railway digital communication network foundation.

Meanwhile, an OICT (edge computing) fusion deepened application platform is supported, and through thorough sensing measurement, comprehensive interconnection and deep intelligent analysis on the environment inside and outside a road, the self-sensing, self-diagnosis and self-decision-making of the states of railway mobile equipment and fixed infrastructure are realized, so that the intellectualization of transportation production operation, the intellectualization of operation management organization and the intellectualization of operation decision-making analysis are realized.

And secondly, constructing an intelligent connection infrastructure based on millimeter wave and ad hoc network technology. The intelligent connection platform is constructed by providing rich connection bandwidth and access capability for intelligent equipment of main production station sections such as intelligent operation and maintenance, intelligent station application, main rail, passenger and cargo stations and machine service, motor cars, vehicles, work stations, large machine sections and the like; the railway transportation of 'people and people' and 'things and things' is connected to the digital age.

Based on the advantage characteristics of full intelligent exchange such as ultralow time delay, high reliability, high bandwidth and the like of the 5G millimeter waves, a Multi-access edge computing (Multi-Acess Edge Computing, MEC) intelligent service platform is constructed, and full-connection railways, namely people, vehicles, roads, stations, road offices and dispatching centers are realized, and all the physical nodes and the nodes of the people realize pairwise real-time communication.

Secondly, the deepened application of the multi-access edge cloud computing based on the 5G millimeter wave private network comprises typical application scenes:

and thirdly, providing a basic platform for data fusion, feature fusion and intelligent decision based on brain-like calculation, fusing traditional historical experience data and real-time monitoring data, constructing a basic digital platform based on new technologies such as brain-like memory intelligence and the like, and laying a solid foundation for truly realizing intellectualization and digitalization of a railway.

And fourthly, establishing a 5G millimeter wave and cloud edge end cooperative application scene, wherein the scene comprises 5G millimeter wave and intelligent passenger stations, intelligent operation and maintenance, intelligent marshalling stations and intelligent freight train ICT fusion core technical equipment, supports full-connection railway OICT fusion and deepening application, and covers application fields such as intelligent stations, intelligent freight yards, train equipment overhaul, freight yard automation, driving safety, disaster pre-treatment and the like.

And fifthly, intelligent railway safety production management, namely, a 5G millimeter wave private network is used for monitoring and covering the whole field, an intelligent video recognition technology is used for visually tracking the whole operation process, key monitoring is carried out on operation risk points, and the operation safety and the cargo safety are guaranteed by the technology.

And (six) establishing 5G millimeter wave plus two-large professional application, 5G millimeter wave plus day and night ultra-high video monitoring and AI intelligent identification, and 5G millimeter wave plus railway power supply contact net safety detection (6C) machine vision application, thereby providing an advanced technical guarantee means for railway driving safety, and making up the problems of difficulty in realizing dynamic transmission, large data volume, overlong transmission time and the like of equipment state information, early warning information and the like of a railway track side facility monitoring system.

Third, 5G millimeter wave private network has wide application prospect

(seven) 5G millimeter wave has wide application prospect, one of core enabling technologies of 5G millimeter wave in the aspects of industrial manufacture, industrial automation, medical health, intelligent transportation, virtual reality and the like,

and (eight) in a private network area, 5G millimeter waves can be combined with MEC and AI technologies, so that abundant and various value added services are overlapped on the basis of a large-bandwidth network, a solution such as 'high capacity and high speed+localization' is provided, and customized park private network services are provided for a coverage area.

However, the prior art has the problems that the OICT is difficult to merge across the boundary, the 5G millimeter wave and OICT application is difficult to merge and energize, and the intelligent connection infrastructure is difficult to construct based on the millimeter wave and the ad hoc network technology.

Disclosure of Invention

The invention provides a millimeter wave communication network and edge calculation fusion method, which solves the problems that in the prior art, OICT (optical information technology) cross-border fusion is difficult, 5G millimeter waves and OICT application fusion and energization are difficult, and intelligent connection infrastructure is difficult to construct based on millimeter wave and ad hoc network technologies.

In order to solve the above problems, in one aspect, the present invention provides a method for merging millimeter wave communication network and edge calculation, including:

constructing a communication network infrastructure through millimeter wave ad hoc network technology;

the communication network infrastructure is managed by edge computation.

The construction of the communication network infrastructure by millimeter wave ad hoc network technology comprises the following steps:

establishing networking and providing communication management and control service by adopting a D2D on-demand communication dynamic ad hoc network technology;

managing the communication link in high speed movement.

The method for establishing networking and providing communication management and control service by adopting the D2D on-demand communication dynamic ad hoc network technology comprises the following steps of S111-S115:

s111, each node exchanges information with the neighbor node to obtain the identification, the position and the topology information of the neighbor node;

S112, determining nodes with the number of links larger than the critical connection number and determining supplemental links to be supplemented;

s113, searching non-cutting nodes closest to the supplemental link and/or taking leaf partitions as mobile nodes;

s114, selecting a proper moving mode to enable the node to move according to network connectivity and moving requirements in the algorithm operation process;

and S115, performing iterative operation on the steps S111-S114 until the network topologies are communicated.

The method for establishing networking and providing communication management and control service by adopting the D2D on-demand communication dynamic ad hoc network technology further comprises the following steps:

a management and control service provided by the SDI controller;

the controller agent of the mobile terminal device APP provides a control linkage control function.

acquiring a minimum spanning tree of the neighbor nodes according to the neighbor node diagram of any node：

Wherein, any node，/>For neighbor node map, ++>Is the edge of the minimum spanning tree; at the position ofIn the method, all nodes adjacent to u are called a logic neighbor node set and are defined asThe graph formed by any node u and the logic neighbor node set, any node u and the logic neighbor node set and links between the node u and the logic neighbor node set is a logic neighbor node graph, and is expressed as follows:

Wherein,；

the gateway node sends a queried non-cut point broadcast packet by a critical connection point, and the TTL field of the broadcast packet is set to MAX_HOP_COUNT; if the node which receives the query packet is the cut point, continuing broadcasting with critical power; if the node is a non-cut point, responding to the gateway node according to a reverse path, and then continuing broadcasting; the gateway node determines a non-cutting point with the minimum moving distance according to the collected non-cutting point information, and sends a cutting point identification number and the distance to another gateway node;

after receiving the notification information of the neighbor node, the gateway node compares the distance with the query distance, if the distance of the gateway node is smaller, a moving command is sent to a non-cutting point with the smallest moving distance in the partition, the non-cutting point moves to the target position after receiving the moving command, and the moving state of the gateway node is broadcasted by a critical connection point to notify other neighbor nodes.

The managing a communication link under high speed movement includes:

a point-to-point single-user communication mode is adopted between the train user equipment and the base station in the rail transit 5G private network mobile communication system;

the train user equipment is connected to the base station by adopting multiple links; under the condition of high-speed movement, each train user equipment is connected to a plurality of base stations by adopting a plurality of millimeter wave equipment, so that a plurality of links are formed and connected to the base stations; all connected links are receiving and transmitting the same data;

Setting a communication link management mode under high-speed movement according to a point-to-point single-user communication mode, and judging link control, wherein the scene of judging application comprises the following steps: and switching a single train link, controlling a meeting link and controlling a following link.

The switching single train link includes:

when any link is disconnected with a station in the moving process of the train user equipment, a newly connected link is found out through a heartbeat report mechanism and a new connection is established with another station;

during the link switching process, at least 1 connected link is in communication;

the signal coverage condition of each station in the forward direction of the train is that the first frequency coverage area and the second frequency coverage area are continuously covered in a staggered way;

the control meeting link includes:

before two vehicles meet, respectively closing the rear millimeter wave transceivers of the two vehicles in advance according to the movement condition of the two vehicles;

after two vehicles meet, respectively opening rear millimeter wave transceivers of the two vehicles according to actual conditions of the two vehicles;

the control following link includes:

before the following situation occurs, respectively closing the front millimeter wave transceiver and the rear millimeter wave transceiver of the two vehicles in advance according to the moving situation of the two vehicles;

When the two vehicles are detected not to belong to the following condition, respectively opening the front millimeter wave transceiver and the rear millimeter wave transceiver of the two vehicles.

The managing of the communication network infrastructure by edge computing includes:

setting a basic service layer;

setting a brain-like decision service layer;

setting an edge computing service layer;

and setting an Internet of things sensing system.

The setting brain-like decision service layer comprises the following steps:

modeling the traffic flow;

setting a resource allocation model and an algorithm;

distributing resources in the cluster;

allocating resources across clusters;

the allocating resources within the cluster includes:

setting an allocation strategy of low-delay calculation type service;

solving communication delay of an edge calculation layer;

calculating delay solution for the edge calculation layer;

processing data-intensive non-low latency traffic.

In one aspect, a computer-readable storage medium having stored therein a plurality of instructions adapted to be loaded by a processor to perform a millimeter wave communication network and edge computing fusion method as described above is provided.

The beneficial effects of the invention are as follows: the 5G millimeter wave and OICT application fusion energization is adopted, so that the requirements of high-speed data acquisition, remote control, high-reliability data transmission, service continuity and the like in an industrial scene can be supported by the characteristics of large bandwidth, low time delay and mass connection of the 5G millimeter wave network, and the existing wired industrial field bus can be replaced to a great extent. The technical problem that the domestic millimeter wave system cannot realize the vehicle-ground node integrated dynamic networking is solved, the communication speed is hundreds of times that of a 4G LTE communication system under the same working condition, the technical parameters such as bandwidth capacity, acting distance, signal attenuation and the like are superior to the technical parameters related to the 5G public network of the current operator, the power energy consumption is only 70%, and the deployment of the rail bypass communication equipment can be greatly reduced by 80%. Meanwhile, the system has the characteristics of strong anti-interference capability, self-adaption in severe environment, good electromagnetic compatibility and the like, and the technical performance completely supports the scene requirements on large bandwidth, high reliability and low time delay.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

Fig. 1 is a flowchart of a method for merging millimeter wave communication network and edge calculation according to an embodiment of the present invention;

fig. 2 is a schematic diagram of an ad hoc network structure according to an embodiment of the present invention;

FIG. 3 is a schematic diagram of a switched single train link provided in an embodiment of the present invention;

FIG. 4 is a schematic illustration of staggered continuous coverage provided by an embodiment of the present invention;

FIG. 5 is a schematic diagram of a link control prior to a two-vehicle meeting according to an embodiment of the present invention;

FIG. 6 is a schematic diagram of link control after a two-vehicle meeting according to an embodiment of the present invention;

FIG. 7 is a schematic diagram of a following link control according to an embodiment of the present invention;

FIG. 8 is a schematic diagram of a brain-like decision layer according to an embodiment of the present invention;

fig. 9 is a network topology diagram formed by m edge nodes according to an embodiment of the present invention;

FIG. 10 is a weighted undirected graph of m edge nodes according to one embodiment of the present invention;

FIG. 11 is a schematic diagram of a platform top layer architecture according to an embodiment of the present invention.

Detailed Description

The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to fall within the scope of the invention.

In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. indicate orientations or positional relationships based on the drawings are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the apparatus or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more features. In the description of the present invention, the meaning of "a plurality" is two or more, unless explicitly defined otherwise.

In the present invention, the term "exemplary" is used to mean "serving as an example, instance, or illustration. Any embodiment described as "exemplary" in this disclosure is not necessarily to be construed as preferred or advantageous over other embodiments. The following description is presented to enable any person skilled in the art to make and use the invention. In the following description, details are set forth for purposes of explanation. It will be apparent to one of ordinary skill in the art that the present invention may be practiced without these specific details. In other instances, well-known structures and processes have not been described in detail so as not to obscure the description of the invention with unnecessary detail. Thus, the present invention is not intended to be limited to the embodiments shown, but is to be accorded the widest scope consistent with the principles and features disclosed herein.

The invention aims to implement the fusion energization of the millimeter wave communication private network and the ICT, breaks through the technical problem that the domestic millimeter wave system cannot realize the vehicle-ground node integrated dynamic networking, has the technical parameters of the communication rate hundreds of times of that of the 4G LTE communication system under the same working condition, such as bandwidth capacity, acting distance, signal attenuation and the like, which are superior to the technical parameters related to the 5G public network of the current operator, and has the power energy consumption of only 70 percent, and the rail bypass communication equipment deployment can be greatly reduced by 80 percent. Meanwhile, the system has the characteristics of strong anti-interference capability, self-adaption in severe environment, good electromagnetic compatibility and the like, and the technical performance completely supports the scene requirements on large bandwidth, high reliability and low time delay.

The invention relates to a fusion enabling system for a 5G millimeter wave communication network and an edge cloud OICT application, which is used for a 5G millimeter wave MEC network full-intelligent exchange service support technology platform, and comprises a network MEC networking architecture, a networking deployment scheme, a full-connection railway ICT information transmission platform and deepening application, and the deepening application of intelligent stations, intelligent freight yards, heavy load transportation, train equipment overhaul, freight yard automation according to safety generation, disaster early warning, driving emergency guarantee and the like is supported.

First, an edge cloud infrastructure is established based on a 5G millimeter wave communication network.

The 5G millimeter wave and edge cloud computing fusion network is supported, and comprises a 5G millimeter wave communication access network, a Multi-access edge computing (MEC, multi-Acess Edge Computin) service platform and an edge cloud computing OICT fusion platform, which are all connected railway digital communication network foundation supports.

The OICT fusion deepened application platform is supported, and comprises thorough perception measurement, comprehensive interconnection and deep intelligent analysis on the environments inside and outside the road, and the self-sensing, self-diagnosis and self-decision of the states of the mobile equipment and the fixed infrastructure are realized.

The system supports a 5G millimeter wave and cloud side cooperative application scene and comprises 5G millimeter wave and intelligent passenger stations, intelligent operation and maintenance, intelligent marshalling stations and intelligent freight car ICT fusion core technical equipment.

The method supports the integration and deepening application of the full-connection railway OICT, and covers the application fields of intelligent stations, intelligent freight yards, train equipment overhaul, freight yard automation, driving safety, disaster pre-treatment and the like.

Thirdly, a special application of 5G millimeter wave private network plus two large is established, 5G millimeter wave plus day and night ultra-high video monitoring and AI intelligent identification are carried out, and a machine vision application of 5G millimeter wave plus railway power supply contact network safety detection (6C) is provided for railway driving safety, so that the problems that dynamic transmission, large data volume, overlong transmission time and the like are difficult to realize due to the fact that equipment state information, early warning information and the like of a railway track side facility monitoring system are made up.

The method supports the verification of the track side monitoring facilities, provides timely real-time downloading for the running state of the driving safety, and makes up the problems that the dynamic transmission, large data volume, overlong transmission time and the like are difficult to realize due to the equipment state information, the early warning information and the like of the track side monitoring facilities.

The intelligent operation and maintenance verification is supported, advanced technologies such as big data, deep learning, fault Prediction and Health Management (PHM), augmented reality and the like are applied, the whole process management of technical equipment is realized, the intelligent level of maintenance of the technical equipment such as a motor train unit is improved, the total life cycle cost of the equipment is reduced, and the transportation efficiency and the safety level are improved.

Referring to fig. 1, fig. 1 is a flowchart of a millimeter wave communication network and edge calculation fusion method according to an embodiment of the present invention, where the millimeter wave communication network and edge calculation fusion method includes S1-S2:

s1, constructing a communication network infrastructure through millimeter wave ad hoc network technology; step S1 includes steps S11-S12:

s11, establishing networking and providing communication management and control service by adopting a D2D on-demand communication dynamic ad hoc network technology.

In this embodiment, referring to fig. 2, fig. 2 is a schematic diagram of an ad hoc network structure provided by an embodiment of the present invention, based on a D2D on-demand communication dynamic ad hoc network technology, a software defined interconnection controller (SDI) is used to provide a unified networking and communication management and control service for a whole network, so as to complete flexible link generation and service maintenance, that is, self-organizing on-demand communication between mobile devices, to implement self-organized multi-hop networks with multiple user terminals forming no center, and form a D2D resource mutual mechanism, thereby transferring a larger bandwidth load and reducing base station pressure.

Step S11 includes steps S111-S115:

s111, each node exchanges information with the neighbor node to obtain the identification, the position and the topology information of the neighbor node.

In this embodiment, the topology control algorithm based on multiple spanning trees is adopted for the dynamic ad hoc network, and mainly follows steps S111-S115: step S111 is to collect information: each node exchanges information with the neighbor node to obtain the information such as the identification, the position, the topology and the like of the neighbor node.

S112, determining nodes with the number of links larger than the critical connection number and determining supplemental links needing supplementation.

S113, searching for a non-cutting node closest to the supplemental link and/or taking a leaf partition as a mobile node.

And S114, selecting a proper moving mode according to network connectivity and moving requirements in the algorithm operation process so as to enable the node to move.

S115, performing iterative operation on the steps S111-S114 until the network topology is reachedUntil communicated.

Step S11 further includes steps S116-S119:

s116, controlling service provided by the SDI controller.

In this embodiment, the management and control services provided by the SDI controller include management and control services such as providing a unique identifier ID of the mobile terminal device, automatic configuration of resources as required, optimal path calculation, full path simulation, and the like.

S117, providing a management and control linkage control function through a controller agent of the mobile terminal device APP.

In this embodiment, the controller agent of the mobile terminal device APP provides management and control coordinated control functions including terminal information acquisition and reporting, wifi sharing, bluetooth fusion and other networking and communication connection, service bearing and the like in various modes.

S118, acquiring a minimum spanning tree of the neighbor nodes according to the neighbor node diagram of any node ：

wherein,。

s119, the gateway node sends a queried non-cut point broadcast packet with a critical connection point, and the TTL field of the broadcast packet is set to MAX_HOP_COUNT; if the node which receives the query packet is the cut point, continuing broadcasting with critical power; if the node is a non-cut point, responding to the gateway node according to a reverse path, and then continuing broadcasting; the gateway node determines a non-cutting point with the minimum moving distance according to the collected non-cutting point information, and sends a cutting point identification number and the distance to another gateway node; after receiving the notification information of the neighbor node, the gateway node compares the distance with the query distance, if the distance of the gateway node is smaller, a moving command is sent to a non-cutting point with the smallest moving distance in the partition, the non-cutting point moves to the target position after receiving the moving command, and the moving state of the gateway node is broadcasted by a critical connection point to notify other neighbor nodes.

S12, managing the communication link under the high-speed movement. Step S12 steps S121 to S123:

s121, adopting a point-to-point single-user communication mode between the train user equipment and the base station in the rail transit 5G private network mobile communication system.

In this embodiment, a point-to-point single-user communication mode is adopted between the train user equipment and the base station in the rail transit 5G private network mobile communication system. Therefore, there is no "multi-user multiplexing radio resource case" or "a case of accessing the base station by means of random contention when multiple users are under the base station", which enables the train user equipment and the base station to establish communication very quickly.

S122, connecting the train user equipment to the base station by adopting multiple links; under the condition of high-speed movement, each train user equipment is connected to a plurality of base stations by adopting a plurality of millimeter wave equipment, so that a plurality of links are formed and connected to the base stations; all connected links are transceiving the same data.

In this embodiment, the train user equipment is connected to the base station using multiple links. In a scene of high-speed movement, each train user equipment can be respectively connected to 4 base stations by adopting 4 millimeter wave equipment, so that a maximum of 4 links are formed to be connected to the base stations; and all the connected links are transmitting and receiving the same data, so that the reliability of ultra-wideband communication can be maintained as long as 1 connected link is in communication, and low-delay switching in the link switching process is ensured. Because at least 1 connected link is always guaranteed to be in communication before and during the link switching, the link switching under the high-speed movement is the influence of zero delay, which is the function and the aim to be completed by the control plane under the high-speed movement.

S123, setting a communication link management mode under high-speed movement according to a point-to-point single-user communication mode, and judging link control, wherein the scene of judging application comprises the following steps: and switching a single train link, controlling a meeting link and controlling a following link. Step S123 steps S1231-S1233:

s1231, the switching single train link comprises:

when any link is disconnected with a station in the moving process of the train user equipment, a newly connected link is found out through a heartbeat report mechanism and a new connection is established with another station; during the link switching process, at least 1 connected link is in communication; the signal coverage condition of each station in the forward direction of the train is staggered and continuously covered by the first frequency coverage area and the second frequency coverage area.

In this embodiment, referring to fig. 3, fig. 3 is a schematic diagram of a handover single train link provided in an embodiment of the present invention, in the moving process of the train user equipment, link 2 loses connection with station DU31, a new connection is found by using a heartbeat reporting mechanism, and a new connection is established with station DU51, and before and during the link handover, at least 1/3/4 of links with 1 connection are in communication, so that it is ensured that although link 2 is handed over, the communication links between the train user equipment and the base station remain normal communication as if there is no handover, and thus, the link handover under high speed movement is zero delay.

Referring to fig. 4, fig. 4 is a schematic diagram of staggered continuous coverage provided by an embodiment of the present invention, where signal coverage of each station DU in the train advancing direction is: the frequency 1 coverage area and the frequency 2 coverage area are staggered and continuously covered, so that at high speed movement, at least 1 connected link is always ensured to be communicated.

S1232, the control meeting link comprises:

before two vehicles meet, respectively closing the rear millimeter wave transceivers of the two vehicles in advance according to the movement condition of the two vehicles; after two vehicles meet, the rear millimeter wave transceivers of the two vehicles are respectively opened according to the actual conditions of the two vehicles.

In this embodiment, referring to fig. 5, fig. 5 is a schematic diagram of link control before two vehicles meet, where before two vehicles meet, the access and mobility management AMF may close the rear millimeter wave transceivers of the two vehicles in advance according to the movement condition of the two vehicles. Referring to fig. 6, fig. 6 is a schematic diagram of link control after two vehicles meet, where after two vehicles meet, the AMF turns on the millimeter wave transceivers at the rear ends of the two vehicles according to the actual situation of the two vehicles, respectively.

S1233, the control following link comprises:

Before the following situation occurs, respectively closing the front millimeter wave transceiver and the rear millimeter wave transceiver of the two vehicles in advance according to the moving situation of the two vehicles; when the two vehicles are detected not to belong to the following condition, respectively opening the front millimeter wave transceiver and the rear millimeter wave transceiver of the two vehicles.

In this embodiment, referring to fig. 7, fig. 7 is a schematic diagram of a following link control provided in an embodiment of the present invention, before a following situation occurs, an access and mobility management AMF may close front/rear millimeter wave transceivers of two vehicles respectively in advance according to the moving situation of the two vehicles. When AMF detects that the two vehicles do not belong to the following condition, respectively opening the front/rear millimeter wave transceivers of the two vehicles.

S2, controlling the communication network infrastructure through edge calculation. Step S2 includes steps S21-S24:

s21, setting a basic service layer.

In this embodiment, a micro service architecture is adopted to encapsulate four platforms: the system comprises a general application integration service platform, an operation support service platform, an operation management service platform and a data analysis service platform, and supports flexible configuration call of upper-layer applications.

1. And (3) operating a support service platform: distributed task scheduling, a distributed database and a distributed shared memory are provided.

2. The application integration service includes: integrating a flow and integrating an application;

3. the big data analysis service platform comprises data access, data exploration, data preprocessing, feature engineering, model construction, model evaluation, model management and full-flow end-to-end management of model deployment to final engineering application, and provides automated and intelligent analysis model construction capability for OICT application.

(1) Supporting access to multiple data sources

As a basic service platform, the service oriented is various, and the conventional service system cannot possibly use a common relational database, such as a common MySQL, orcale, SQLServer, to store related information, or use a data warehouse, such as Hive, etc., or even use text data storage, so that in order to make the basic service platform oriented to the docking of more applications, the introduction of multiple data sources needs to be supported.

(2) Construction mode for providing simple data analysis

In order to reduce the technical threshold in large data analysis as much as possible, so that non-professional users can perform analysis work, the data service platform needs to abstract and simplify the data analysis process to a high degree, and a simple mode is provided for constructing the analysis process, so that the users can easily get up. The method has the advantages that the analysis process of the algorithm is constructed through the front-end graphic assembly with high abstraction in a dragging mode, so that the construction of the algorithm analysis flow is simplified and convenient.

(3) Supporting rich data visualization functions

In the process of data analysis, the data needs to be displayed in a more visual form, so that the result and rule of data analysis are easier to obtain.

(4) Supporting rich algorithms

The data of the platform user contains very abundant service types, so that a powerful algorithm library is required to provide support for algorithm analysis in order to adapt to various service scenes, most service scenes are covered as much as possible, and better analysis service is provided for the user.

(5) Supporting high concurrency, big data, and high response

In order to meet the requirements of data volume increase and business enrichment, the platform has the capability of supporting large data, high concurrency and high response.

S22, setting a brain-like decision service layer; step S22 includes steps S221-S224:

s221, modeling the traffic flow.

In this embodiment, the brain-like decision service layer is responsible for providing resource reservation for the edge computing service layer and also for some important management functions. And modeling the traffic flow, controlling or migrating task load according to the resource capacity of the cloud edge node, and migrating the load to other idle cloud edge nodes when the load of accessing a certain cloud edge node exceeds the task processing capacity of the node.

The user service has volatility and non-uniformity, and based on the service characteristic model of the current network service data mining, the service dynamic change rule in the actual network can be accurately described, the problem of mismatch between service dynamics and resource allocation solidification is solved, and the resource utilization efficiency of the whole edge network is improved.

Vehicle behavior is defined by vehicle movement behavior, not limited to including a microscopic feature: GPS track, speed, acceleration, etc.; not limited to communication behavior microscopic properties: service type, number of services, rate of service transmission, etc.

A behavior model capable of predicting communication behavior change is established by adopting a cyclic neural network by adopting joint analysis on the space-time characteristics of communication service.

S222, setting a resource allocation model and an algorithm.

In this embodiment, referring to fig. 8, fig. 8 is a schematic diagram of a brain-like decision layer provided in an embodiment of the present invention, on the basis of separate optimization of communication resources, computing resources and cache resources, in view of mutual complementation and mutual promotion of 3 resources, a network utility function model is constructed for the differences of different vehicle user experience quality requirements and different network service quality requirements under the condition of considering the track traffic communication scene and resource constraint, so as to clarify the internal association of communication, computing and cache resources and the influence on the performance of the internet of vehicles system. Specifically, network resources are defined as vector variables, wherein:

Each sub-vector representing communication capability, computing capability and buffering capability of network, vehicleThe utility function of the networking system is defined asThe network service quality such as capacity, energy efficiency, frequency efficiency, time delay and the like of the representation network or the vehicle user experience quality, and the 3 kinds of resource joint optimization problems can be modeled as follows:

where i, j, n represent nodes with communication, computation and caching capabilities. In the aspect of problem analysis and solving, network architecture deployment, multi-network access, multi-dimensional communication resource management, calculation unloading and intelligent caching are brought into a comprehensive optimization framework, the equivalent relation and the compromise relation of 3 kinds of resources which are mutually switched are quantized, and the means such as convex optimization theory and the like are adopted to carry out iterative optimization on space, time, frequency, code, power, calculation and caching resources, so that different vehicle user demands are dynamically adapted, and the 3C resource joint optimization capable of improving the utilization efficiency of system resources and meeting the differentiated high-quality service demands of the vehicle users is obtained.

The method has the characteristics of path constraint aiming at the train movement track, comprises a certain stability of wireless communication network service types and flows, and can well predict resources required by the service through analysis of historical flows.

The train has a task j to be calculated at any time during the movement, and the task is composed of tripletsRepresenting, where i and j are both positive integers +.>，/>Input data size representing task j, +.>Indicating the completion of task jThe calculated amount is measured by the number of instructions to be processed of the processor,indicating the time limit requirement of the corresponding task j. Let the completion time required for execution in the mobile terminal corresponding to task j be +.>And the processing capacity of the device is +.>The processing power is measured here in millions of instructions per second (Million Instruction Per Second, MIPS).

S223, distributing resources in the cluster.

In this embodiment, to-be-calculated task j, a cluster manager evaluates the resources required by the calculation task, and if the requirements of time slots, calculation capacity, storage capacity and network capacity can be completed in the present cluster. The allocation of the resources of the task is completed in the cluster by the cluster manager. The allocation of resources in the cluster is divided into data-intensive non-low-delay service and low-delay computing service according to different service demand types. The service types are different, and the allocation strategies of the resources are also different. Step S223 includes steps S2231-S2234:

S2231, setting the distribution strategy of the low-delay calculation type service.

In this embodiment, the delay of the edge computation layer includes the communication delay between edge devices and the computation delay of the edge devices. Referring to fig. 9 to fig. 10, fig. 9 is a network topology diagram composed of m edge nodes provided by an embodiment of the present invention, and fig. 10 is a weighted undirected graph composed of m edge nodes provided by an embodiment of the present invention, where for communication delay, the network topology diagram composed of m edge nodes is abstracted into the weighted undirected graph. Wherein,for the nadir value, zi is the set of edge nodes, m represents the number of mist devices. />For edge set, add>Representing the communication link between the fog nodes Zi and Zj, weight +.>Is the communication delay between the fog nodes Zi and Zj. In an undirected graph formed by edge equipment, a tree with minimum weight is generated by using a Kruskal algorithm by taking communication delay among cloud edge nodes as weight, and the minimum weight W (T), namely the minimum communication delay, is obtained.

For the edge device i, its computation delay can be plotted by the computation amount ix allocated to it, this function has to satisfy the following two points: 1. with the increase of the calculated amount, the calculation delay of the edge equipment correspondingly increases; 2. the more the computation amount increases, the faster the edge device computation delay increases.

The computational delay of the edge device i is described by the following function.Wherein->For the computing power of the edge device i, +.>Task amount processed for cloud edge device i, < >>Is a real number between 0 and 1 which is set in advance. The computation delay of the m cloud edge nodes is therefore expressed as follows:

，/>

wherein,for the maximum data size that can be processed by the edge device i, X is the total data size that needs to be processed by the edge calculation, so that two data processed on the cloud edge node form an m-dimensional vector x= [ -j ]>]。

S2232, solving the communication delay of the edge calculation layer.

In this embodiment, the Kruskal algorithm is used to solve for the minimum communication delay between cloud edge nodes. For a weighted undirected graph G (V, E) formed by cloud edge nodes, it is assumed that the minimum spanning tree of G is T (U, TE), its initial state is u=v, te= { }, and thus each node in T forms a connected component. Then, each edge in the edge set E is examined in turn according to the order in which the weights of the edges (i.e., the communication delays between cloud edge nodes) are from small to large. If the connected components of the two nodes under investigation differ in T, the edge connecting the two nodes is added to TE and the two connected components are combined into one. If the connected components of the two nodes under investigation are the same in T, this edge is deleted so as not to form a loop. Repeating the steps until only 1 connected component exists in the T, and obtaining a minimum spanning tree of the G.

Specific algorithm steps are described below.

(1) Initializing: u=v, te= { }.

(2) The following steps are repeated until there are only 1 connected components in T.

A. The shortest edge (u, v) is found in E.

B. If the connected components in which vertices u and v are located are different in T, then

a. Edges (u, v) are incorporated into TE.

b. The two connected components are combined into one.

C. Edges (u, v) are marked in E such that edges are not participating in the subsequent (u, v) shortest edge selection.

(3) Finally, a minimum spanning tree is obtained, and a minimum communication delay W (T) is calculated.

S2233, calculating delay solution for the edge calculation layer.

In this embodiment, the objective function of the calculation delay of the calculation layer is:

for the constraint optimization problem, a Lagrange multiplier method is adopted for solving, and the specific steps of a flow chart are described as follows:

to be used forFor the initial point +.>For initial multiplier vector, penalty factor M>0, amplification factor a>0 and precision epsilon>0, parameter γe (0, 1), let k=1.

S2234, processing data-intensive non-low latency traffic.

In this embodiment, for data-intensive traffic, the communication resources are sliced to form logical channels. In the convergence layer full-switching network, a plurality of forwarding paths are selected, the service with large bandwidth requirement is forwarded simultaneously in a multiplexing way through a load balancing strategy on the network, and the service is finally calculated and stored by a cloud.

S224, distributing resources across clusters.

In this embodiment, if the task at this time cannot be completed in the current cluster, reporting the remaining tasks to a brain-like decision service layer, where the brain-like decision service layer determines the movement position of the trainCurrent speed->Selecting the edge node set of the next location area +.>. And the brain-like decision service layer transmits the calculation task and the cache data of the next time slice to a cluster manager of the next location area. The next cluster manager prepares computing resources according to the resource requirements of the tasks.

S23, setting an edge computing service layer.

In the embodiment, the edge computing service layer comprises two parts, namely a cluster manager (SDI) and cloud edge nodes.

1. A cluster manager (SDI), which is a resource management node deployed in each place, and which is configured to raise resources in each place and to effectively manage the raised resources, the cluster manager (SDI) comprising:

(1) Resource discovery

The cluster manager uses a discovery mechanism to quickly discover the arriving resources, which is particularly important to achieve efficient utilization of the available resources. In the discovery mechanism, the cluster manager broadcasts resource requirements. When the cloud edge node receives the broadcast information, registration is started. In the registration process, the cloud edge node sends a registration data packet to a cluster manager to join the edge computing cluster. In order to ensure the accuracy of cloud edge node resource information, a cluster manager can periodically update registration information.

(2) Resource collection.

The method comprises the steps of sending information for raising edge computing resources to an edge computing cluster manager, wherein the information comprises types of the resources, resource raising amounts and the like, broadcasting the resource raising amounts and the types to cloud edge nodes registered in a jurisdiction range of the cluster manager by the cluster manager, and determining whether to participate in resource contribution and how much to contribute to the resource amount by measuring benefits of the cloud edge nodes.

(3) And (5) capability assessment.

And the edge cluster manager acquires a better resource management decision by evaluating the resource capacity of the cloud edge nodes. The resource capacity of the cloud edge node comprises the quantity, time, stability and the like of the contributed resources. And controlling or migrating task load by the edge cluster manager according to the resource capacity of the cloud edge node, and migrating the load to other idle cloud edge nodes when the load of accessing a certain cloud edge node exceeds the task processing capacity of the node.

(4) Network management, the edge cluster manager is responsible for the communication and control functions of the network.

(5) Task interface, edge cluster manager provides a stable and searchable interface for user

2. And the cloud edge node adopts a virtualization technology to isolate different applications so as to provide calculation and other resources required to be operated by the application program.

S24, setting an Internet of things sensing system.

In this embodiment, cloud autonomous edge computing basic data information mainly includes two parts of content including sensing data acquisition and sensor equipment networking, the data acquisition of the internet of things involves multiple technologies such as sensors, RFID, intelligent embedding, article coding and the like, terminal equipment such as sensors senses surrounding environments anytime and anywhere, acquires data, and transmits the data to a central node or network equipment in a short distance through a wireless or wired communication technology.

The invention provides the following examples:

firstly, referring to fig. 11, fig. 11 is a top layer architecture diagram of a platform function provided by an embodiment of the present invention, a 5G millimeter wave Multi-access edge computing (Multi-Acess Edge Computing, MEC) intelligent service platform, which is composed of three layers of a communication terminal, an access layer, and a management control network, where the overall architecture is shown in the right side diagram:

expanding the terminal, the access layer and the management control network, wherein the complete network architecture diagram is shown as a right lower diagram:

the full-connection railway is realized, namely, people, vehicles, roads, stations, road authorities and dispatching centers, and all the physical nodes and the nodes of the people realize pairwise real-time communication.

(one) AP, eNB, which is optional component, where WIFI is located. The method is used for accessing terminals of other systems. The synchronous transmission unit accesses the network through an N1 interface.

The millimeter wave wireless access channel is a wireless access means between the exchange base station and the user terminal by adopting millimeter waves; the system comprises a base station, a mobile terminal, a controller and the like.

And the transmission control unit TCU refers to a vehicle-mounted gateway, and the realized functions comprise: wireless access, data transceiving, radio resource management, multi-connection management, channel selection, base station handover, and the like.

And (IV) the MAU provides the wired access capability of the LTE micro base station, the Wifi and the terminal by adopting direct two-layer full-exchange communication transmission with full redundancy, no root bridge and low cost based on the FSCP two-layer communication protocol.

The fifth trackside base station gNB comprises 1 control unit (gNB-CU) and 2 paths of data units (gNB-CU), wherein the control unit provides radio resource management, mobility connection control, radio access control, measurement configuration, dynamic resource allocation and scheduling services.

Second, OICT fusion platform is calculated to edge cloud

The cloud ICT fusion platform is used for realizing network instant service, computing instant service, data instant service and security instant service by taking edge cloud computing as a framework, and is a top-level structure chart as follows:

computing as-service

(1) MEP, MEP is MEC platform network element defined by ETSI MEC standard, deployment position is at edge side, mainly covering the following functions:

-service governance: ensuring the normal operation of the service:

registering: providing APP service registration between APP and MEP

The discovery is as follows: APP calls function provided by MEP through service discovery

Subscription: mep subscription APP status notification

And (3) notification: APP status notification MEP

-DNS distribution: providing uniform URL access

DNS rule (DNS Rules) configuration issued by MEPM

MEC APP provides DNS and other MEC public services

-service gateway: responsible for routing requests to different APP

Local shunting

The LADN is associated with an area service or edge application through which access is made by the user when using the edge application and in a particular service area, and the LADN splitting is based on a particular DNN for local splitting.

Edge Iaas

Providing virtualized platform resources and management for APP applications, including virtual machines and containers, satisfying the requirement that different applications share a unified infrastructure

(2) MECM (multiple access edge computing manager) provides orchestration and lifecycle management for applications in the edgegap architecture. MECM provides a variety of functions including application installation, application programming to select appropriate edges based on deployment policies, application lifecycle management, application homing and placement based on analytics and policies, application/edge resource monitoring, and provides a unified topology view.

-edge computing APP lifecycle management, responsible for MEC application lifecycle management operations, sending requests to the appropriate pluggable plug-in adapters according to the infrastructure.

And the edge area operation and maintenance management adopts a complete edge operation and maintenance solution, and can systematically and organically combine the core data center operation and maintenance with the edge node operation and maintenance to cooperate with each other so that the edge node can exert the service capability provided by the edge position more. The operation and maintenance system comprehensively converts the traditional static and manual mainly passive operation and maintenance mode into the dynamic and automatic mainly active prediction type operation and maintenance mode, and the intelligent capability of the communication network is completed.

-management domain multi-node collaboration, collaboration of computing tasks by multiple MEC nodes within the management domain.

The deployment automation, the number of the edge nodes is huge, if the edge nodes are deployed one by one manually, the problems of overlong time, easy error, high cost and the like are caused. The edge node is automatically deployed, the edge node can realize plug and play after the deployment of the core data center is completed, the edge node is automatically installed and deployed, configuration data is automatically loaded once the power-on of the edge equipment is completed, the service is automatically activated, unmanned operation is achieved, the deployment efficiency is submitted, and the deployment cost is reduced.

The operation and maintenance automation is used for efficiently managing the edge nodes, the complexity and cost of operation and maintenance are reduced, and the edge computing operation and maintenance management system must have intelligent closed-loop guarantee capabilities such as network self-perception, self-adjustment and the like. The most urgent need be solved is to realize quick delimitation and positioning of the problem through an intelligent algorithm, find out the root cause of the problem, and make the problem solving more efficient.

The system is automatically optimized, and real-time/historical intelligent analysis can provide reference data such as health score, anomaly detection prediction, fault root cause analysis and the like, so that configuration optimization, resource shrinkage, problem positioning and the like are executed, and edge operation and maintenance closed-loop optimization is realized.

(II) network instant service

By recycling the network and computing power, the resource allocation is optimized as a unified whole. Relying on a powerful core network without any further investment in internet infrastructure based on standard network connectivity patterns. Without limitation by the traditional MPLS-based infrastructure, branches or flexible transformation locations may be extended.

(1) Network function orchestrator:

logic orchestration (Logic Composer) to provide a one-stop integrated platform that simplifies the inter-environment business process that needs to be handled when integrating systems, applications, and services. The logic arrangement provides a simple and easy-to-use design mode, rich service connectors and managed operation service, and helps you to efficiently complete the integration work in various scenes.

The operation and maintenance arrangement service (OOS) is a comprehensive and free automatic operation and maintenance platform and provides management and execution of operation and maintenance tasks. The use scene comprises: event-driven operation and maintenance, batch operation and maintenance, timing operation and maintenance tasks, cross-region operation and maintenance and the like, and can also provide functions of approval, notification and the like of important operation and maintenance scenes.

Custom authorization policy: the system authorization policy provided by the logic orchestration default is a coarse-grained authorization policy. Custom authorization policies may be created for finer grained authorization control.

(2) Network element manager

The management function service provided by the network element manager (Network Element Management Layer) enables remote operation of one or more network elements, such as switches, routers, transmission devices, etc., and management of hardware and software of the devices. The management function is typically remote operation and maintenance of the network device.

Performance management functions, which provide mainly reporting and assessment of the status of the communication device, the network or the network element's capabilities. The method has the main function of collecting the quality data of the actual operation of the related equipment in the communication network, forming statistical data for monitoring or correcting the condition and efficiency of the network, network elements or equipment, and providing means for evaluation, analysis, prediction and planning for management staff.

The fault management function is to monitor the abnormal operation condition of the telecommunication network equipment and the network channel in real time, complete the tasks of monitoring, reporting, storing and diagnosing, locating and processing the fault of the alarm signal, give out alarm display, make the user react and decide in the shortest time, take corresponding measures, isolate and correct the fault and recover the service affected by the fault.

-a configuration management function, the configuration management being responsible for monitoring configuration information of the network and the network element devices.

Network configuration involves the physical arrangement of the network, responsible for setting up, modifying or deleting channels, and when the network fails, performing reconfiguration and route restoration of channels and devices.

The security management function is responsible for carrying out security check on operators accessing the network management system, and avoiding the access of unauthorized operators to network resources and network management functions.

(3) Policy management

New business requirements have led to a number of new applications such as IP telephony, information services, and e-commerce. Traditional IP network infrastructure can provide bandwidth, buffering, and CPU resources. However, what users can get is best-effort (best-effort) service, all user data competing in common for these resources of the network. And, as data traffic grows exponentially, this contention becomes more pronounced. The introduction of some new technologies for IP networks provides a new IP network platform for implementation of new applications, for example, virtual Private Networks (VPNs) can be implemented using Tunneling (Tunneling), and better quality of service can be provided by classification (Packet Classification) and traffic management (Traffic Management) of data packets. Policy management is used to enable new network application services to be implemented on such new IP network platforms.

(4) Access management

The access management access control system judges whether to allow access to the network and obtain corresponding access rights based on double verification of user identity and terminal risk. The system takes identity authentication as a basis, takes admission control as a core, takes behavior specification as a means, takes monitoring audit as an assistance, takes the terminal as a minimum management unit, and can solve the network security management problem of 'unknown network access, uncontrollable illegal external connection and uncontrollable illegal behavior' for a user.

(5) Mobility management

Mobility management (MM, mobile Management) is the management of mobile terminal location information, security and service continuity, and attempts to optimize the contact state between the terminal and the network, thereby providing guarantees for various network service applications.

Mobility management mainly includes: location information management and business continuity management. It is the characteristic that the user can change its location information at will in the mobile system, brought the mobility management of the network just, it has finished reporting and updating in real time of user's location information through the close cooperation of different network elements and terminal, has finished switching over in the course of conversation and handled, thus has guaranteed the business continuity and promoted customer experience.

(III) data As a service

Data services (DaaS) are services that are provided according to the needs of users by exploiting the potential value in big data. Firstly, providing access service of public data for users; second, the user may be provided with a service for potentially valuable information in the data. The main relevant services include:

(1) And data access, which is the access capability for providing various data sources.

The main relevant functions are as follows: creating data sources, including adding data sources, inquiring data sources, modifying data sources and deleting data sources; managing data sources, including authorizing, editing detailed information of the data sources, disabling or enabling the data sources, deleting the data sources; maintaining a data model, including setting data authority of the model, checking model details, editing field information and synchronizing the data model.

(2) And the data processing is the processing capacity of recording, editing, summarizing, calculating, analyzing, predicting, storing and managing a large amount of original data or data.

The main relevant functions are as follows: creating a data model, including adding a physical table, adding an SQL model, adding an API model, synchronizing data and data authority; data model authorization, i.e., providing rights control capabilities of the data model.

(3) And the data analysis is to analyze the collected data by adopting a statistical analysis method, and extract effective data to form a conclusion, wherein the analysis capability comprises data statistics, management storage, retrieval sharing and the like. The Hive big data analysis engine is mainly used for data extraction, conversion and loading, and statistical analysis is carried out on the data warehouse.

(4) Data storage, which is the ability to store temporary files generated during processing of a data stream or information that needs to be found during processing. The mainstream relational database and NoSQL database storage are supported.

(5) Data visualization, which is the ability to present the results of modeling in a graph, table, or more complex visualization.

The related functions are mainly as follows: scene design, including canvas attribute setting, canvas style configuration, theme style setting, template selection application; the basic operation of the designer comprises graphic tool bars, layers, copy and paste and withdrawal; graphic components, namely components for providing graphics, report tools, auxiliary components, custom graphics and the like; analysis calculations, including calculations that provide duty cycle, loop ratio, synchronization, clustering, differences, etc.; visual interactions, i.e., interactions that provide linkage, drill, link, etc.

(IV) resource collaboration

The edge nodes provide infrastructure resources such as computation, storage, networking, virtualization, etc., while providing lifecycle APIs for device configuration, monitoring, maintenance, optimization, etc. The edge node provides rich network interfaces in the south to support wide terminal access; the cloud provides resource scheduling management policies including device management, resource management, and network connection management for the edge nodes.

Fifth, data collaboration

The edge node is mainly responsible for acquiring field/terminal data, carrying out preliminary processing and analysis on the data according to rules or data models, and uploading the processing result and related data to the cloud; the cloud provides storage, analysis and value mining of mass data. And the edge and the cloud data cooperate to support the controllable orderly flow of the data between the edge and the cloud to form a complete data circulation path, so that the life cycle management and the value mining of the data are performed efficiently and at low cost.

In summary, with the advent of the 5G era, more and more ICT technologies are introduced into OT technologies, and three originally developed technical systems of IT, OT and CT, which are originally independent of each other, begin to realize tight fusion, and finally form an integrated OICT system.

First, OICT cross-border fusion (Operational, information, communication Communication Technology) focuses on three aspects: IT blends with CT, IT blends with OT, CT blends with OT.

IT and CT fusion: penetration of technology in the IT domain into the CT domain, where IP technology from the IT domain instead of ATM technology in the CT domain becomes the core networking technology, is a hallmark event of ICT major convergence.

The boundaries of IT and CT are increasingly blurred, and a new industry, ICT industry, (information communication technology: information Communication Technology) is gradually formed.

With the increasing degree of ICT convergence, new 5G millimeter wave communication network infrastructures, represented by Open RAN (Open virtual 5G wireless access network) and a software-based 5G core network, are being developed.

And (II) IT and OT are fused, a great amount of IT is accumulated in the aspects of cloud computing, big data and AI, and infiltration is developed to the OT field.

The OT industry selectively absorbs IT technology based on empirical precipitation in manufacturing control, data acquisition, industrial algorithms, engineering construction, and the like. For example, the underlying IoT capabilities and Web technologies are heavily fused into existing industrial software products and push the digital transformation of industrial users through software and hardware platform products. In addition, some factories attempt to cloud deployment of traditional SCADA/MES/ERP systems, thereby reducing system maintenance costs.

And thirdly, the CT and the OT are fused, and the CT field is good at providing various related technologies such as wired communication, wireless communication, long-distance communication and short-distance communication.

The OT domain absorbs wireless communication technologies such as Wi-Fi, bluetooth, zigbee, 4/5G, millimeter wave, etc. from the CT domain and industrial communication and bus technologies from the IT domain.

Secondly, the 5G millimeter wave and OICT application fusion energization, the large bandwidth, low time delay and mass connection characteristics of the 5G millimeter wave network can support the requirements of high-speed data acquisition, remote control, high-reliability data transmission, service continuity and the like in an industrial scene, and can replace the existing wired industrial field bus to a great extent.

From the comprehensive cost performance consideration, the industrial scene can finally adopt an integration scheme of different communication technologies, rather than simply relying on 5G technology.

The advanced CT technology in China is used for developing IT and OT, and the advanced CT technology in China has the advantages of advanced CT, being guided by demands and promoting the advanced fusion of OI, CT and IT.

The current industrial development is in the 4.0 stage of industry, automation and digitization are continuously fused, data become new productivity, and the industry is undergoing a process of redefining the world by software represented by the Internet of things, cloud computing, big data and artificial intelligence, and advancing to intelligence.

The automation and the digitization are continuously fused, the data become new productivity, the process of redefining the world by software represented by the Internet of things, cloud computing, big data and artificial intelligence is underway, and finally the industrial intellectualization is completed.

And (II) the industrial Internet of '5G+' is the industrial automation injection flexibility and intelligence for upgrading the activity, which can drive the digital transformation of related industries such as traffic, electric power, medical treatment, travel and the like.

"5g+ industrial internet" changes smart factory ecology: firstly, the wired constraint is removed, the mobile scene inconvenient for wired connection is solved, and the communication physical faults caused by movement are reduced. Secondly, the intelligent fusion networking is realized, the 5G provides the capability of sharing one network by IT non-real-time and OT real-time multiple services, and the service compatibility problem can be solved by a flattened architecture of the network. And thirdly, the industrial control application innovation, the 5G and industry fusion accelerates the application landing of the clouding robot and the clouding PLC, reduces the network deployment cost, and the clouding calculation force and the real-time network are also the intelligent flexible production tamping foundation of the factory.

Thirdly, based on millimeter wave and ad hoc network technology, an intelligent connection infrastructure is constructed.

The intelligent connection platform is constructed by providing rich connection bandwidth and access capability for intelligent equipment of main production station sections such as intelligent operation and maintenance, intelligent station application, main rail, passenger and cargo stations and machine service, motor cars, vehicles, work stations, large machine sections and the like; the railway transportation of 'people and people' and 'things and things' is connected to the digital age.

The intelligent management and control service platform of the multi-access edge cloud computing MEC is constructed, a full-connection railway OICT fusion network platform and deepening application are constructed, and three-body cooperation of the mobile cloud edge is implemented, so that an integral OICT system of 'connection + calculation power + capacity' is formed, and the 'ultra-low time delay, high bandwidth, mass connection and safety and reliability' requirements of an intelligent railway are met.

The 5G millimeter wave and OICT deep integration high-speed digital communication network is built, is an open platform at the edge side of a fully-connected network, can integrate network, calculation, storage and application core capabilities, provides edge intelligent service nearby, meets key requirements of an industry digital railway in aspects of agile connection, real-time service, data optimization, application intelligence, safety, privacy protection and the like, provides comfortable and convenient travel experience for passengers, and promotes door-to-door transformation of freight service.

And secondly, based on a 5G millimeter wave multi-access edge computing (MEC) intelligent service platform, the full-connection railway is realized, namely, a person, a vehicle, a road, a station, a road bureau and a dispatching center, and all the physical nodes and the nodes of the person realize pairwise real-time communication.

Those of ordinary skill in the art will appreciate that all or a portion of the steps of the various methods of the above embodiments may be performed by instructions, or by instructions controlling associated hardware, which may be stored in a computer-readable storage medium and loaded and executed by a processor. To this end, an embodiment of the present invention provides a storage medium having stored therein a plurality of instructions capable of being loaded by a processor to perform the steps of any one of the millimeter wave communication network and edge computing fusion methods provided by the embodiment of the present invention.

Wherein the storage medium may include: read Only Memory (ROM), random access Memory (RAM, random Access Memory), magnetic or optical disk, and the like.

Because the instructions stored in the storage medium can execute steps in any millimeter wave communication network and edge calculation fusion method provided by the embodiment of the present invention, the beneficial effects that any millimeter wave communication network and edge calculation fusion method provided by the embodiment of the present invention can be realized, and detailed descriptions of the foregoing embodiments are omitted herein.

The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.

Claims

1. A millimeter wave communication network and edge computing convergence method, comprising:

constructing a communication network infrastructure;

controlling the communication network infrastructure through edge calculation;

said building a communication network infrastructure comprising:

establishing networking and providing communication management and control service;

managing the communication link under high speed movement;

s115, performing iterative operation on the steps S111-S114 until the network topology is communicated;

a management and control service provided by the SDI controller;

providing a control linkage control function through a controller agent of mobile terminal equipment APP;

the managing a communication link under high speed movement includes:

Setting a communication link management mode under high-speed movement according to a point-to-point single-user communication mode, and judging link control, wherein the scene of judging application comprises the following steps: switching a single train link, controlling a meeting link and controlling a following link;

the switching single train link includes:

the control meeting link includes:

the control following link includes:

When the situation that the two vehicles do not belong to the following condition is detected, respectively opening front-end millimeter wave transceivers and rear-end millimeter wave transceivers of the two vehicles;

setting a basic service layer;

setting a brain-like decision service layer;

setting an edge computing service layer;

setting an Internet of things sensing system;

the setting brain-like decision service layer comprises the following steps:

modeling the traffic flow;

setting a resource allocation model and an algorithm;

distributing resources in the cluster;

allocating resources across clusters;

the allocating resources within the cluster includes:

setting an allocation strategy of low-delay calculation type service;

solving communication delay of an edge calculation layer;

calculating delay solution for the edge calculation layer;

processing data-intensive non-low latency traffic.

2. A computer readable storage medium having stored therein a plurality of instructions adapted to be loaded by a processor to perform a millimeter wave communication network and edge computing fusion method of claim 1.