CN112738155B - 5G MEC-based local interconnection access method and system for electric power Internet of things equipment - Google Patents
5G MEC-based local interconnection access method and system for electric power Internet of things equipment Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
- H04L12/2854—Wide area networks, e.g. public data networks
- H04L12/2856—Access arrangements, e.g. Internet access
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The application discloses a local interconnection access method and system for 5G MEC-based electric power Internet of things equipment, comprising the following steps: collecting data information of electric power Internet of things equipment; receiving data information of the electric power Internet of things equipment by utilizing an edge computing layer, and sending the data information to a corresponding edge computing node for data preprocessing to obtain the running condition of the electric power Internet of things; and feeding back the data processing result to the access equipment and reporting the cloud based on the edge computing node, wherein the access equipment makes corresponding actions according to the real-time data processing result, and the local interconnection access of the electric power Internet of things equipment is completed. According to the method, the device and the system, the operation data of the electric power Internet of things are timely collected, processed and analyzed at the data source or the terminal equipment through edge calculation, so that neighbor calculation is realized, the data processing efficiency is improved, delay is reduced, meanwhile, the pressure of a server can be reduced, and loss caused by shutdown of the server is avoided.
Description
Technical Field
The application relates to the technical field of smart grids, in particular to a local interconnection access method and system for 5G MEC-based electric power Internet of things equipment.
Background
The electric power internet of things is an application of the internet of things in the smart grid, is a result of development of information communication technology to a certain stage, effectively integrates communication infrastructure resources and electric power system infrastructure resources, improves informatization level of the electric power system, improves utilization efficiency of the existing infrastructure of the electric power system, and provides important technical support for links such as power grid generation, power transmission, power transformation, power distribution and power consumption.
The electric power communication network is used as an important infrastructure for supporting development of the intelligent power grid, so that requirements on safety, instantaneity, accuracy and reliability of various electric power services are guaranteed, the development of the intelligent power grid emphasizes interconnection of various energy sources and information, the electric power communication network is used as a network information bus, bears information acquisition and network control load of various environments of the intelligent power grid source, the network and the load, provides a safe, reliable and efficient information transmission channel for the intelligent power grid foundation and various energy service platforms, realizes penetration of information flow, energy flow and service flow of various links of electric power production, transmission and consumption, and promotes integral efficient coordinated operation of the electric power system. The access requirements of various services in the electric power Internet of things can be met by utilizing the communication network, a reliable and safe communication channel is provided by providing a unified communication platform, the network efficiency is improved, meanwhile, a flexible and convenient access mode is provided by the communication network, and the electric power Internet of things service development such as energy interaction, data sharing or paid service is promoted.
Disclosure of Invention
This section is intended to outline some aspects of embodiments of the application and to briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section as well as in the description of the application and in the title of the application, which may not be used to limit the scope of the application.
The present application has been made in view of the above-described problems occurring in the prior art.
Therefore, the technical problems solved by the application are as follows: the prior art has low data processing efficiency, high server pressure and large investment of material resources.
In order to solve the technical problems, the application provides the following technical scheme: collecting data information of electric power Internet of things equipment; receiving data information of the electric power Internet of things equipment by utilizing an edge computing layer, and sending the data information to a corresponding edge computing node for data preprocessing to obtain the running condition of the electric power Internet of things; and feeding back the data processing result to the access equipment and reporting the cloud based on the edge computing node, wherein the access equipment makes corresponding actions according to the real-time data processing result, and the local interconnection access of the electric power Internet of things equipment is completed.
As a preferable scheme of the local interconnection access method of the 5G MEC-based electric power Internet of things equipment, the application comprises the following steps: the data preprocessing includes local traffic offloading and offloading.
As a preferable scheme of the local interconnection access method of the 5G MEC-based electric power Internet of things equipment, the application comprises the following steps: the data pre-processing may further comprise of,
wherein z= { d 1 ,d 2 ,......d n The term to be shunted is represented by d, m represents the attribute of z, m represents the iteration number, L represents the shunting condition, y i Represents data traffic, d j Representing the number of nodes.
As a preferable scheme of the local interconnection access method of the 5G MEC-based electric power Internet of things equipment, the application comprises the following steps: the local flow unloading and splitting comprises the step of carrying out local flow unloading in a split point mode; carrying out local shunting by adopting a ULCL mode; and adopting a local data network service area LADN mode to carry out distribution.
As a preferable scheme of the local interconnection access method of the 5G MEC-based electric power Internet of things equipment, the application comprises the following steps: the data information includes power distribution network operating temperature, pressure, vibration frequency, angle and current.
As a preferable scheme of the local interconnection access method of the 5G MEC-based electric power Internet of things equipment, the application comprises the following steps: the local flow unloading process by the split-point mode comprises the steps of issuing a filtering rule according to SMF based on a branch point in a mobile network of an operator; and splitting according to the source IP address of the check data packet.
As a preferable scheme of the local interconnection access method of the 5G MEC-based electric power Internet of things equipment, the application comprises the following steps: the source IP address includes an IPv4 or IPv6 prefix address.
As a preferable scheme of the local interconnection access method of the 5G MEC-based electric power Internet of things equipment, the application comprises the following steps: the ULCL mode carries out a local shunting process, wherein a network side selects a local ULCL UPF to provide service for the electric power Internet of things terminal based on a location area where the electric power Internet of things terminal is located; the ULCL UPF sends the service flow to a local electric service platform or a session anchor point PSA according to the need in a flow DPI analysis mode; and judging whether the data packet is a power local data packet according to the destination IP address of the data packet to be forwarded, and if so, shunting to a corresponding edge computing node in a local power service platform.
As a preferable scheme of the local interconnection access method of the 5G MEC-based electric power Internet of things equipment, the application comprises the following steps: the local data network service area LADN mode carries out a distribution process, wherein the power terminal signs up for LADN service, and a network side determines whether the power terminal belongs to a local power network according to sign-up information and the position of the terminal; if yes, selecting a local LADN UPF, and providing a local traffic outlet service for the terminal by the LADN UPF; and carrying out data processing on the power service packet based on the edge computing node corresponding to the local LADN UPF, and feeding back a data processing result to the terminal equipment corresponding to the data acquisition layer for response.
In order to solve the technical problems, the application also provides a local interconnection access system of the 5G MEC-based electric power Internet of things equipment, which comprises the following technical scheme: the data acquisition module comprises an intelligent switch unit, an intelligent sensor unit and an intelligent ammeter unit and is used for acquiring the running state data of the electric power Internet of things; the edge computing module comprises an edge computing node unit which is connected with the data acquisition module, performs local edge computing after performing data fusion on the received related data to obtain a corresponding data analysis result, and sends the data analysis result to the corresponding data application module through the data transmission module; the data transmission module is connected with the edge calculation module and used for transmitting the data analysis result obtained by the edge calculation module; the data application module comprises a control unit which is connected with the data transmission module, receives the data analysis result transmitted by the data transmission module, and displays the result related information in real time by utilizing a server of the control unit.
The application has the beneficial effects that: the method has the advantages that the operation data of the electric power Internet of things are timely collected, processed and analyzed at a data source or terminal equipment through edge calculation, neighbor calculation is achieved, data processing efficiency is improved, delay is reduced, meanwhile, the pressure of a server can be relieved, and loss caused by shutdown of the server is avoided.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, 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 application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. Wherein:
fig. 1 is a basic flow diagram of a local internet of things device access method based on 5G MEC power according to an embodiment of the present application;
fig. 2 is a network structure diagram of BP splitting based on a local internet of things device access method of 5G MEC power according to an embodiment of the present application;
fig. 3 is a network structure diagram of ULCL shunting based on a local interconnection access method of 5G MEC power internet of things equipment according to an embodiment of the present application;
fig. 4 is a LADN distribution network structure diagram of a local interconnection access method of an internet of things device based on 5G MEC power according to an embodiment of the present application;
fig. 5 is a schematic diagram of an edge virtual private network of an electric power station based on a local interconnection access method of 5G MEC electric power internet of things equipment according to an embodiment of the present application;
fig. 6 is a system structure diagram of a local internet of things device access method based on 5G MEC power according to an embodiment of the present application.
Detailed Description
So that the manner in which the above recited objects, features and advantages of the present application can be understood in detail, a more particular description of the application, briefly summarized above, may be had by reference to the embodiments, some of which are illustrated in the appended drawings. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments of the present application without making any inventive effort, shall fall within the scope of the present application.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application, but the present application may be practiced in other ways other than those described herein, and persons skilled in the art will readily appreciate that the present application is not limited to the specific embodiments disclosed below.
Further, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic can be included in at least one implementation of the application. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
While the embodiments of the present application have been illustrated and described in detail in the drawings, the cross-sectional view of the device structure is not to scale in the general sense for ease of illustration, and the drawings are merely exemplary and should not be construed as limiting the scope of the application. In addition, the three-dimensional dimensions of length, width and depth should be included in actual fabrication.
Also in the description of the present application, it should be noted that the orientation or positional relationship indicated by the terms "upper, lower, inner and outer", etc. are based on the orientation or positional relationship shown in the drawings, are merely for convenience of describing the present application and simplifying the description, and do not indicate or imply that the apparatus or elements referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present application. Furthermore, the terms "first, second, or third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The terms "mounted, connected, and coupled" should be construed broadly in this disclosure unless otherwise specifically indicated and defined, such as: can be fixed connection, detachable connection or integral connection; it may also be a mechanical connection, an electrical connection, or a direct connection, or may be indirectly connected through an intermediate medium, or may be a communication between two elements. The specific meaning of the above terms in the present application will be understood in specific cases by those of ordinary skill in the art.
Example 1
The Multi-edge computing (MEC, multi-access Edge Computing) provides infrastructure such as computing and storage on the network edge side close to the object or data source, and provides cloud service and IT environment service for edge application, so as to meet the key requirements of industry digitization in aspects such as agility connection, real-time service, data optimization, application intelligence, security and privacy protection. Compared with the cloud computing service deployed in a centralized way, the Edge computing solves the problems of overlong time delay, overlarge converged flow and the like, provides better support for real-time and bandwidth intensive services, meets the service requirements of ultralow time delay, overlarge bandwidth and the like, and is switched from the traditional Client-Server architecture to the Client-Edge-Server three-level architecture to realize cloud network integration.
Referring to fig. 1 to 5, for one embodiment of the present application, there is provided a local interconnection access method for an internet of things device based on 5G MEC power, including:
s1: collecting data information of electric power Internet of things equipment;
the data information includes the operation temperature, pressure, vibration frequency, angle and current of the power distribution network.
In particular, various access devices (power terminals) are involved in the processes of power generation, power transmission, power transformation, power distribution and power consumption, such as various types of sensors, for example, a temperature sensor for measuring temperature, a pressure sensor for measuring pressure, a vibration sensor for measuring vibration, an angle sensor for measuring angle, a current sensor for measuring current, etc., by which the operation state of the power distribution network can be reflected from different angles.
S2: the method comprises the steps that an edge computing layer is utilized to receive data information of electric power Internet of things equipment, and the data information is sent to a corresponding edge computing node to conduct data preprocessing, so that the running condition of the electric power Internet of things is obtained;
it should be noted that, the data preprocessing includes local traffic offloading and offloading.
Wherein the data preprocessing further comprises the steps of,
wherein z= { d 1 ,d 2 ,......d n The term to be shunted is represented by d, m represents the attribute of z, m represents the iteration number, L represents the shunting condition, y i Represents data traffic, d j Representing the number of nodes.
The 5G network adopts a Service-oriented architecture (SBA, service-based Architecture), separates a Control Plane (CP) from a User plane (UP, user plane), can flexibly sink the User plane to the edge of the network, reduces network delay, meets millisecond-level Service requirements, is characterized in that the C/U separation architecture is in line with a changeable access edge computing technology (MEC), the MEC sinks cloud distributed application to the edge of the telecommunication network, combines with UPF (User Panel Function, user plane function), provides computing power at a first outlet of the Service, can realize edge splitting of electric power Internet of things equipment by combining the MEC technology by utilizing the 5G UPF sinking function, and forms local interconnection of the electric power virtual special network implementation equipment; judging whether the data packet to be sent belongs to a power local network or not according to the data packet to be sent and a 5G UPF local distribution strategy, if so, sending the data to a power edge computing platform through a user plane data transmission channel, and realizing local interconnection of power Internet of things equipment at edge measurement, wherein the process can be realized by the following steps:
through the UPF sinking to the power station end, the network side can adopt ULCL (Uplink Classifier ) and adopts a branch Point (branch Point) mode to realize the local flow unloading and LADN (Local Area Data Network, local data network) three local branch technologies to realize the distribution of public network service and power service, and ensure the safety isolation requirement of the power service.
Furthermore, a branch Point (branch Point) mode is adopted to realize local traffic unloading, which specifically includes:
a Branch Point (BP) in an operator-based mobile network according to a filtering rule issued by an SMF (Session Management Function ); shunting according to the source IP address of the check data packet, wherein the source IP address comprises an IPv4 or IPv6 prefix address; according to whether the source IP address belongs to a local power network, forwarding the power service packet from the data acquisition layer to different PDU (Protocol Data Unit ) anchor points, if the power service packet belongs to the local network, sending the power service packet to an edge computing node corresponding to UPF in the power local network, performing data processing on the power service packet through the edge computing node, and then feeding back the power service packet to terminal equipment corresponding to the data acquisition layer for response; the network structure using BP splitting is shown in fig. 2.
The UCL mode carries out a local shunting process, wherein the network side selects a local UCL UPF based on a location area where the electric power Internet of things terminal is located to provide service for the electric power Internet of things terminal; the ULCL UPF sends the service flow to a local electric service platform or a session anchor point PSA (PDU Session Anchor, protocol data unit session anchor point) according to the need by a flow DPI (Deep Packet Inspect, deep packet inspection) analysis mode; judging whether the data packet is a power local data packet according to the destination IP address of the data packet to be forwarded, if so, shunting to a corresponding edge computing node in a local power service platform, processing the data of the power service packet through the edge computing node, and responding after feeding back to terminal equipment corresponding to a data acquisition layer, wherein the destination IP address comprises an IPv4 address or an IPv6 prefix address, and a network structure adopting ULCL shunting is shown in figure 3.
The local data network service area LADN mode carries out the splitting process, which comprises the steps of establishing connection between an electric power terminal and access network equipment, establishing connection between an access network and two UPF equipment, wherein one UPF is connected with a common public network, the other UPF is connected with a local electric power network, and PDU session establishment between the electric power terminal and the two UPF equipment is completed; the power terminal signs a LADN service, and the network side determines whether the power terminal belongs to a local power network according to the sign information and the position of the terminal; if yes, selecting local LADN UPF, wherein the LADN UPF equipment is UPF equipment for establishing connection with the LAND, and providing local flow outlet service for the terminal by the LADN UPF; and carrying out data processing on the power service packet based on the edge computing node corresponding to the local LADN UPF, and feeding back a data processing result to the terminal equipment corresponding to the data acquisition layer for response, wherein the LADN shunt network structure is shown in figure 4.
In the above step, considering the current performance status of each edge computing node, selecting an edge computing node with lighter current load from a plurality of edge computing nodes meeting the same mapping condition according to a load balancing strategy, connecting the access equipment with the edge computing node with lighter current load, and reasonably distributing the related data collected by the access equipment to the edge computing node with lighter current load. After the access equipment and the corresponding edge computing node are connected, the edge computing node acquires related data acquired by the access equipment, performs data fusion, and performs local edge computing to obtain a corresponding data analysis result.
S3: and feeding back the data processing result to the access equipment and reporting the cloud based on the edge computing node, and enabling the access equipment to make corresponding actions according to the real-time data processing result so as to complete local interconnection access of the electric power Internet of things equipment.
Specifically, the edge computing node feeds back the data processing result to the access device, so that the access device can timely make corresponding actions according to the data processing result, for example, one access device sends voltage data, the edge computing node analyzes the voltage data, and if the voltage is determined to be too high, the data processing result with the too high voltage is fed back to the access device, so that the access device can make corresponding actions, for example, voltage is properly reduced, and the edge computing node has certain computing and storage capacity, and can perform real-time analysis, processing and storage on the data analysis result uploaded by the edge computing node. Except for the reason that the edge computing node feeds back the data processing result to the access device, according to the requirement of the service scene, the edge computing node can report the real-time processed result to the cloud for storage, processing or analysis, the edge side (station end) without the power optical fiber coverage can be transmitted to the power center cloud through the carrier transmission network channel, and the edge side with the power optical fiber coverage can be transmitted to the power center cloud through the power transmission link, so that the storage, processing and analysis of the data processing result are realized, as shown in fig. 5.
In order to verify and explain the technical effects adopted in the method, the traditional technical scheme and the method are adopted for comparison test, and the test results are compared by means of scientific demonstration to verify the true effects of the method.
The traditional technical scheme adopts cloud computing to intensively deploy data information, so that the problems of overlong time delay, overlarge aggregate flow and the like exist; in this embodiment, the simulation software is used to perform a comparison test based on two schemes, and the comparison data obtained by the comparison test are shown in the following table:
table 1: experimental data vs.
| Comparing variables | Conventional method | The method of the application |
| Data processing efficiency | 80％ | 96％ |
| Time delay | Greater than 1s | Less than 5ms |
| Data traffic aggregation rate | 70％ | 15％ |
As can be seen from the table, the method has much smaller time delay than the traditional method, the data processing efficiency is much higher than that of the traditional method, the method has much smaller converged flow than that of the traditional method, the Server pressure is reduced, better support is provided for real-time and bandwidth intensive services, the Edge calculation is used for meeting the service requirements such as ultra-low time delay and ultra-large bandwidth, and the like, and the application is changed from the traditional Client-Server architecture to the Client-Edge-Server three-level architecture, so that cloud network fusion is realized.
Example 2
Referring to fig. 6, another embodiment of the present application is different from the first embodiment in that: based on local interconnection access system of 5G MEC electric power thing networking equipment, include:
the data acquisition module comprises an intelligent switch unit, an intelligent sensor unit and an intelligent ammeter unit and is used for acquiring the running state data of the electric power Internet of things;
the edge computing module comprises an edge computing node unit which is connected with the data acquisition module, performs data fusion on the received related data, performs local edge computing to obtain a corresponding data analysis result, and sends the data analysis result to the corresponding data application module through the data transmission module;
the data transmission module is connected with the edge calculation module and used for transmitting the data analysis result obtained by the edge calculation module;
the data application module comprises a control unit which is connected with the data transmission module, receives the data analysis result transmitted by the data transmission module, and displays the result related information in real time by utilizing a server of the control unit.
Specifically, the edge computing module of the electric power internet of things is provided with a plurality of edge computing node units, the edge computing node units are connected with peripheral access equipment to obtain relevant data acquired by the access equipment, the edge computing node units perform data fusion on the relevant data acquired by the access equipment to perform local edge computing to obtain corresponding data analysis results, the corresponding data analysis results are sent to a corresponding data application module, such as a control platform, through a data transmission layer, and relevant information is displayed in real time through a server of the control platform.
It should be noted that, when a certain access device, such as a sensor, detects data to be fused and processed at an edge computing node, according to the characteristics of a system structure, fusion of multiple data is realized, then edge computing is performed, or edge computing can be realized without data fusion; for example, when a certain local device collects user power failure event data, the user power failure event data is sent to a corresponding edge computing node unit to perform local edge computing, a corresponding power failure type is obtained, and a computing result related to the power failure type is sent to a data application module through a data transmission module.
It should be appreciated that embodiments of the application may be implemented or realized by computer hardware, a combination of hardware and software, or by computer instructions stored in a non-transitory computer readable memory. The methods may be implemented in a computer program using standard programming techniques, including a non-transitory computer readable storage medium configured with a computer program, where the storage medium so configured causes a computer to operate in a specific and predefined manner, in accordance with the methods and drawings described in the specific embodiments. Each program may be implemented in a high level procedural or object oriented programming language to communicate with a computer system. However, the program(s) can be implemented in assembly or machine language, if desired. In any case, the language may be a compiled or interpreted language. Furthermore, the program can be run on a programmed application specific integrated circuit for this purpose.
Furthermore, the operations of the processes described herein may be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context. The processes (or variations and/or combinations thereof) described herein may be performed under control of one or more computer systems configured with executable instructions, and may be implemented as code (e.g., executable instructions, one or more computer programs, or one or more applications), by hardware, or combinations thereof, collectively executing on one or more processors. The computer program includes a plurality of instructions executable by one or more processors.
Further, the method may be implemented in any type of computing platform operatively connected to a suitable computing platform, including, but not limited to, a personal computer, mini-computer, mainframe, workstation, network or distributed computing environment, separate or integrated computer platform, or in communication with a charged particle tool or other imaging device, and so forth. Aspects of the application may be implemented in machine-readable code stored on a non-transitory storage medium or device, whether removable or integrated into a computing platform, such as a hard disk, optical read and/or write storage medium, RAM, ROM, etc., such that it is readable by a programmable computer, which when read by a computer, is operable to configure and operate the computer to perform the processes described herein. Further, the machine readable code, or portions thereof, may be transmitted over a wired or wireless network. When such media includes instructions or programs that, in conjunction with a microprocessor or other data processor, implement the steps described above, the application described herein includes these and other different types of non-transitory computer-readable storage media. The application also includes the computer itself when programmed according to the methods and techniques of the present application. The computer program can be applied to the input data to perform the functions described herein, thereby converting the input data to generate output data that is stored to the non-volatile memory. The output information may also be applied to one or more output devices such as a display. In a preferred embodiment of the application, the transformed data represents physical and tangible objects, including specific visual depictions of physical and tangible objects produced on a display.
As used in this disclosure, the terms "component," "module," "system," and the like are intended to refer to a computer-related entity, either hardware, firmware, a combination of hardware and software, or software in execution. For example, the components may be, but are not limited to: a process running on a processor, an object, an executable, a thread of execution, a program, and/or a computer. By way of example, both an application running on a computing device and the computing device can be a component. One or more components may reside within a process and/or thread of execution and a component may be localized on one computer and/or distributed between two or more computers. Furthermore, these components can execute from various computer readable media having various data structures thereon. The components may communicate by way of local and/or remote processes such as in accordance with a signal having one or more data packets (e.g., data from one component interacting with another component in a local system, distributed system, and/or across a network such as the internet with other systems by way of the signal).
It should be noted that the above embodiments are only for illustrating the technical solution of the present application and not for limiting the same, and although the present application has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present application may be modified or substituted without departing from the spirit and scope of the technical solution of the present application, which is intended to be covered in the scope of the claims of the present application.
Claims (5)
1. A local interconnection access method for computing MEC (medium electrical control) power Internet of things equipment based on 5G multi-access edges is characterized by comprising the following steps:
collecting data information of electric power Internet of things equipment;
receiving data information of the electric power Internet of things equipment by utilizing an edge computing layer, and sending the data information to a corresponding edge computing node for data preprocessing to obtain the running condition of the electric power Internet of things;
the data preprocessing comprises local traffic offloading and splitting;
the data pre-processing may further comprise of,
wherein z= { d 1 ,d 2 ,......d n The term to be shunted is represented by d, m represents the attribute of z, m represents the iteration number, L represents the shunting condition, y i Represents data traffic, d j Representing the number of nodes;
the local flow unloading and splitting comprises the step of carrying out local flow unloading in a split point mode; carrying out local shunting by adopting an uplink classifier ULCL mode; splitting by adopting a local data network service area LADN mode;
the ULCL mode carries out a local shunting process, wherein a network side selects a local ULCL user plane function UPF to provide service for the electric power Internet of things terminal based on a location area where the electric power Internet of things terminal is located; ULCLUPF sends the service flow to a local electric service platform or a session anchor point PSA according to the need by detecting DPI analysis mode through flow deep packet; judging whether the data packet is a power local data packet according to the destination IP address of the data packet to be forwarded, if so, shunting to a corresponding edge computing node in a local power service platform, performing data processing on the power service packet through the edge computing node, and responding after feeding back to terminal equipment corresponding to a data acquisition layer;
the process of shunting by adopting the local data network service area LADN mode comprises the steps of establishing connection between an electric power terminal and access network equipment, establishing connection between an access network and two UPF equipment, wherein one UPF is connected with a common public network, the other UPF is connected with the local electric power network, and establishing a protocol data unit PDU session between the electric power terminal and the two UPF equipment is completed; the power terminal signs a LADN service, and the network side determines whether the power terminal belongs to a local power network according to the sign information and the position of the terminal; if yes, selecting local LADN UPF, wherein the LADN UPF equipment is UPF equipment for establishing connection with the LAND, and providing local flow outlet service for the terminal by the LADN UPF;
and feeding back the data processing result to the access equipment and reporting the cloud based on the edge computing node, wherein the access equipment makes corresponding actions according to the real-time data processing result, and the local interconnection access of the electric power Internet of things equipment is completed.
2. The 5G MEC-based power internet of things device local interconnect access method of claim 1, wherein: the data information includes power distribution network operating temperature, pressure, vibration frequency, angle and current.
3. The 5G MEC-based power internet of things device local interconnect access method of claim 1, wherein: the split-point mode performs a local traffic offloading process including,
the branch point in the mobile network based on the operator issues a filtering rule according to a session management function SMF;
and splitting according to the source IP address of the check data packet.
4. The 5G MEC-based power internet of things device local interconnect access method of claim 3, wherein: the source IP address includes an IPv4 or IPv6 prefix address.
5. The local interconnection access system of the MEC power internet of things equipment based on the 5G multi-access edge calculation is characterized by comprising the following components:
the data acquisition module comprises an intelligent switch unit, an intelligent sensor unit and an intelligent ammeter unit and is used for acquiring the running state data information of the electric power Internet of things; the data information comprises the running temperature, pressure, vibration frequency, angle and current of the power distribution network;
the edge computing module comprises an edge computing node unit which is connected with the data acquisition module, performs local edge computing after performing data fusion on the received related data to obtain a corresponding data analysis result, and sends the data analysis result to the corresponding data application module through the data transmission module; the edge computing module receives data information of the electric power Internet of things equipment by utilizing an edge computing layer, and sends the data information to a corresponding edge computing node for data preprocessing to obtain the running condition of the electric power Internet of things;
the data preprocessing comprises local traffic offloading and splitting;
the data pre-processing may further comprise of,
wherein z= { d 1 ,d 2 ,......d n The term to be shunted is represented by d, m represents the attribute of z, m represents the iteration number, L represents the shunting condition, y i Represents data traffic, d j Representing the number of nodes;
the local flow unloading and splitting comprises the step of carrying out local flow unloading in a split point mode; carrying out local shunting by adopting an uplink classifier ULCL mode; splitting by adopting a local data network service area LADN mode;
the ULCL mode carries out a local shunting process, wherein a network side selects a local ULCL user plane function UPF to provide service for the electric power Internet of things terminal based on a location area where the electric power Internet of things terminal is located; ULCL UPF sends the service flow to local electric service platform or session anchor point PSA according to need by detecting DPI analysis mode by flow deep packet; judging whether the data packet is a power local data packet according to the destination IP address of the data packet to be forwarded, if so, shunting to a corresponding edge computing node in a local power service platform, performing data processing on the power service packet through the edge computing node, and responding after feeding back to terminal equipment corresponding to a data acquisition layer;
the process of shunting by adopting the local data network service area LADN mode comprises the steps of establishing connection between an electric power terminal and access network equipment, establishing connection between an access network and two UPF equipment, wherein one UPF is connected with a common public network, the other UPF is connected with the local electric power network, and establishing a protocol data unit PDU session between the electric power terminal and the two UPF equipment is completed; the power terminal signs a LADN service, and the network side determines whether the power terminal belongs to a local power network according to the sign information and the position of the terminal; if yes, selecting local LADN UPF, wherein the LADN UPF equipment is UPF equipment for establishing connection with the LAND, and providing local flow outlet service for the terminal by the LADN UPF;
the local flow unloading process by the split-point mode comprises the steps of issuing a filtering rule according to a session management function SMF based on a branch point in a mobile network of an operator; shunting according to the source IP address of the check data packet; the source IP address comprises an IPv4 or IPv6 prefix address;
the data transmission module is connected with the edge calculation module and used for transmitting the data analysis result obtained by the edge calculation module;
the data application module comprises a control unit which is connected with the data transmission module, receives the data analysis result transmitted by the data transmission module, and displays the result related information in real time by utilizing a server of the control unit.
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