CN109788074A - A kind of Edge intelligence service system - Google Patents

A kind of Edge intelligence service system Download PDF

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Publication number
CN109788074A
CN109788074A CN201910209683.4A CN201910209683A CN109788074A CN 109788074 A CN109788074 A CN 109788074A CN 201910209683 A CN201910209683 A CN 201910209683A CN 109788074 A CN109788074 A CN 109788074A
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cloud
distributed
mode
service system
equipment
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CN201910209683.4A
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郭永安
唐清源
朱洪波
杨龙祥
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Nanjing Post and Telecommunication University
Nanjing University of Posts and Telecommunications
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Nanjing Post and Telecommunication University
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Abstract

The invention discloses a kind of Edge intelligence service systems, utilize native radio signal processing capacity, merge the distributed storage ability in provided for radio resources management and edge device, and pass through suitable transmission mode selection, constitute Edge intelligence service system architectural framework, to achieve the effect that reduce front-end load, to obtain higher power system capacity and processing speed.It is embodied in Edge intelligence service system Radio Access Network and defines four kinds of clouds: cloud, centralized control cloud are communicated and stored in global set, distributed logic communication cloud and distributed logic store cloud, are each responsible for communicating, store, control and signal processing.When in user equipment access mist counting system Internet of Things, according to the movement speed of user equipment, communication distance, position, service quality (QoS) requirement, handles with cache capability and selects four kinds of transmission modes: D2D and repeater mode, Local-distributed coodination modes, global C-RAN mode and HPN mode, reach acquisition higher efficiency.

Description

A kind of Edge intelligence service system
Technical field
The present invention relates to a kind of Edge intelligence service systems, are mainly used in the 5th Generation Mobile Communication System (5G), belong to Internet of Things and field of cloud calculation.
Background technique
Compared with forth generation wireless communication system (4G), the power system capacity of the 5th generation wireless communication system (5G) is near to reduce It is 1000 times long, and energy transmission efficiency at least increases by 10 times.In order to realize that these targets, Edge intelligence service system must divide A large amount of data are focused in cloth base station, this requires this architectural frameworks to possess the mutual of high broadband and low latency Join the two prerequisites of front end.However existing front end transmission is often capacity and time delay constraint, is imitated in frequency spectrum Performance in rate and energy efficiency is far away from needed for standard.As location-based social application becomes to become more and more popular, front end Business datum is increased sharply, and a large amount of redundancy is produced;While in order to meet the requirement of peaking capacity, operator needs to dispose big The base station of amount causes serious waste when business delivery quantity is not big enough to meet the requirement of peaking capacity.
Summary of the invention
In order to solve challenge in the prior art, the purpose of the present invention is introducing the concept of Edge intelligence service system, lead to The processing and storage capacity made full use of in edge device is crossed, to mitigate the burden of front end and distributed base station.
Traditional cloud computing mode is expanded to network edge by Edge intelligence service system, is largely had in network convenient for providing Some storages communicate, and control, configuration, and the equipment of measurement and management utilizes centralized cloud storage to reach transmission demand Reach demand with channel is established.It is calculated based on mist, cooperation radio signal processing not only can be in cloud computing center server Middle execution, and can be in trust at distributed base station and smart machine.This real-time collaboration radio signal processing With flexible cooperative radio resource management make Edge intelligence service system can adapt to undertake quick under radio environment and Scalable front end burden.In addition, Edge intelligence service system can be distributed by device-to-device (D2D), wireless relay Coordinate the adaptive technique between extensive concentration cooperation to realize the target of customer-centric.
Technical solution is as follows:
" the four kinds of cloud+application layers " formula of Edge intelligence service system under environment of internet of things is laid out and four kinds of transmission modes,
I.e. in global set communicate and store cloud, centralized control cloud, distributed logic communication cloud, distributed logic store cloud and Internet of things application layer;
D2D repeater mode, Local-distributed coodination modes, global cloud transmission mode and HPN mode;
The distributed logic communication cloud is made of multiple distributed base stations, by cooperating between multiple distributed base stations Processing reaches the overload of release leading portion link, mitigates the effect being lined up with transmission latency;
Distributed logic storage cloud is made of the controlled users equipment in access Edge intelligence service system;Centralized control cloud In Internet of Things monitoring node, and cloud cloud computing central server is communicated and stored in global set and is constituted;
Distributed logic communication cloud is not only integrated with preceding radio frequency, but also is integrated at local distributed collaboration radio signal Reason and cooperative radio resource management technical functionality, and distributed logic storage cloud is responsible for being locally stored in edge device and height Speed caching;Centralized control cloud is used to serve as the effect of control platform, is responsible for downward stratus and assigns control signaling;
The varieties of clouds are communicated and stored in global set is similar to the cloud computing center server in traditional cloud computing, responsible and user Equipment and distributed base station transmission and interaction data take on centrally stored and concentration communication function;
The data received according to demand, are selectively provided to internet of things application layer by final cloud computing center server In user;
Further include:
Terminating layer, network access layer, cloud computing layer and Edge intelligence service system layer;Edge intelligence service system layer is by dividing The Edge intelligence service system access point that cloth base station is evolved into, what the smart machine in terminating layer and network access layer was formulated; In terminating layer, equipment is directly communicated with neighbouring device in D2D mode, without the side being evolved by distributed base station The help of edge intelligent service system access point, if the communication distance of the equipment of two potential pairings is more than D2D distance threshold, The repeater mode based on third party device will be triggered, to provide communication for the two equipment;
In network access layer, there are two kinds of edge communications entities: Internet of Things monitoring node and Edge intelligence clothes Business system access point.Internet of Things monitoring node provides for the equipment of high-speed mobile with base for transmitting whole control signaling The seamless coverage of this bit rate;Cloud computing layer is software definition, and centralization calculates and the attribute of caching;
All signal processing units work together in large-scale physics Base Band Unit pond, to share entire Edge intelligence service The signaling of system, business datum and channel state information;
It accesses to controlled users apparatus self-adaptation in the unlimited network of Edge intelligence service system, and according to user equipment Movement speed, communication distance, position, quality of service requirement handle with cache capability and select four kinds of transmission modes: D2D Repeater mode, Local-distributed coodination modes, global cloud transmission mode and HPN mode.
In D2D repeater mode, two user equipmenies by D2D or the wireless relaying technique based on smart machine each other into Row communication;Local distributed coordination mode means that controlled users equipment accesses in adjacent distributed base station, and communicates This terminates, and only uploads transmission result feedback;Global cloud transmission mode means all local distributed collaboration radio signals Processing and cooperative radio resource management technical functionality concentrate realization in distributed base station, have high movement speed or in distribution Controlled users equipment in the covering cavity of logic communication cloud must access the Internet of Things monitoring node indicated by HPN mode.
The utility model has the advantages that the present invention devises a kind of Edge intelligence service system, core concept is to make full use of local nothing Line Electric signal processing merges the distributed storage ability in provided for radio resources management and edge device, reduces front end to reach Heavy load meets the needs of the 5th generation wireless communication system (5G) to obtain higher power system capacity and processing speed.From shifting From the perspective of dynamic application, if transmission occurs to be stored in adjacent distributed base station in local or identical content, User equipment is not necessarily connected to cloud computing center server Base Band Unit to download.Meanwhile Edge intelligence service system will be traditional Cloud computing mode expand to network edge, cooperation radio signal processing can not only be held in cloud computing center server Row, and can be in trust at distributed base station and smart machine.In addition, Edge intelligence service system can pass through equipment To equipment (D2D), wireless relay and extensive concentrates the adaptive technique between cooperation to be with user to realize at distributed coordination The target at center, the final needs for adapting to mobile transmission development.
Detailed description of the invention
Fig. 1 is system architecture diagram of the invention;
Fig. 2 is model selection pseudocode of the invention.
Specific embodiment
The present invention is described in further detail below in conjunction with the drawings and specific embodiments.
The F-RAN of proposal makes full use of cloud computing, the fusion of heterogeneous network and Edge intelligence service system.Define four kinds Cloud: communicating and store cloud, centralized control cloud in global set, distributed logic communication cloud and distributed logic store cloud.It is distributed Logic communication cloud is not only integrated with preceding radio frequency, but also is integrated with local distributed collaboration radio signal processing and the wireless money of collaboration Source control technical functionality, and distributed logic storage cloud is responsible for being locally stored in edge device and cache.Concentrate control Cloud processed is used to serve as the effect of control platform, is responsible for downward stratus and assigns control signaling.It is communicated in global set and stores the varieties of clouds seemingly Cloud computing center server in traditional cloud computing, responsible and user equipment and distributed base station transmission and interaction data, Take on centrally stored and concentration communication function.
What is proposed as shown in Figure 1 is used for a kind of Edge intelligence service system model.It includes terminating layer, and network connects Enter layer, cloud computing layer and Edge intelligence service system layer.
Edge intelligence service system layer is the Edge intelligence service system access point being evolved by distributed base station, terminating layer It is formulated with the smart machine in network access layer.
In terminating layer, adjacent controlled users equipment can pass through D2D mode or the relaying mould based on distributed base station Formula is in communication with each other.For example, equipment 3 and equipment 1 can communicate with one another with the help of equipment 2, wherein equipment 2 is considered Mobile relay.If there is some data to directly transmit between equipment 1 and equipment 2, then D2D mode is used.
The Edge intelligence service system access point and Internet of Things that network access layer is evolved by distributed base station monitor cautious Composition.All communication apparatus access Internet of Things monitoring nodes to obtain all signalings relevant to system information, fill by these signalings When the function of control platform.In addition, the Edge intelligence service system access point being evolved by distributed base station for forwarding and Manage received data.Mist calculates access point and is connect by front end link and the cloud computing center server Base Band Unit in cloud computing layer Mouthful, and Edge intelligence service system access point is by backhaul link access cloud computing center server Base Band Unit, and by front end The signal of chain road is sent in cloud computing server by large scale processing.Because of the largely processing of collaboration radio signal and association It is transferred to the Edge intelligence service system access point being evolved by distributed base station with radio resource management function and intelligence is set Standby, the burden pond of front end and cloud computing center server Base Band Unit mitigates.In addition, in Internet of Things monitoring point and smart machine Some packet services can be assigned in edge device by limited cache memory, rather than always be concentrated in cloud computing center server Formula caching.
It is calculated to introduce atomization in edge device, traditional RRH is by being equipped with certain caching, CRSP and CRRM energy Power is evolved into the access point based on Edge intelligence service system.The Edge intelligence service system being evolved by distributed base station connects Access point is mainly used for locally cooperateing with radio signal processing and cooperative radio resource management for the equipment processing of access, for D2D The equipment of transmission mode operation provides AF panel and frequency spectrum share, and the Information Compression received is forwarded to cloud by front end Calculate central server Base Band Unit.Edge intelligence service system access point is not only integrated with preceding radio frequency, but also is integrated with local The processing of distributed collaboration radio signal and simple cooperative radio resource management function.By in multiple adjacent Edge intelligences Collaborative process between service system access point to discharge the overload of front end link, while can mitigate queuing and transmission waiting Time.When the processing of all collaboration radio signals and cooperative radio resource management function are moved to cloud computing center server base When tape cell, it is traditional distributed base station that Edge intelligence service system access point, which is degenerated,.
When business load is low, the Edge intelligence service system access point that the distributed base station of some free time is evolved into is fallen into Sleep pattern.When business load becomes huge in a special area, Edge intelligence service system access point and Internet of Things monitoring Point becomes active to carry the transmission communication business of high capacity, and it is huge to meet further to trigger D2D or repeater mode Big capacity requirement.
The above three constitutes Edge intelligence service system layer by cooperating with each other.It is described below under a kind of environment of internet of things Rest part in the layer architecture of Edge intelligence service system.
In terminating layer, equipment can directly be communicated with neighbouring device in D2D mode, without by distributed base The help for the Edge intelligence service system access point that station is evolved into, wherein Internet of Things monitoring node is used for the equipment matched to D2D Deliver whole control signaling.Pass through the identical wireless money of the equipment administration connecting with Edge intelligence service system access point Source, D2D mode is particularly conducive to meet the needs of high rate data transmission data, and can also improve total throughout.However, D2D Mode is seriously restricted by the ability of communication distance and Edge intelligence service system access point, and cannot be provided and not supported D2D mould The traditional equipment service of formula.If the communication distance of the equipment of two potential pairings is more than D2D distance threshold, triggering is based on The repeater mode of third party device, to provide communication for the two equipment.
In network access layer, there are two kinds of edge communications entities: Internet of Things monitoring node and Edge intelligence clothes Business system access point.Internet of Things monitoring node is mainly used for transmitting whole control signaling, and provides tool for the equipment of high-speed mobile There is the seamless coverage of basic bit-rates.Internet of Things monitoring node with extensive multiple-input and multiple-output (MIMO) is to guarantee edge The key of the backward compatibility of intelligent service system and existing wireless system.The whole control channel of Edge intelligence service system is opened Pin and cell specific reference signal delivered by Internet of Things monitoring node, therefore Edge intelligence service system can reduce it is unnecessary Switch and mitigates synchronous constraint.If cooperateing with radio signal processing and cooperative radio resource management function in Edge intelligence service Terminate in system access point, then they have the identical function of cell base station, wherein sending and connecing using coordinating multiple points are similar to The distributed interference coordination for receiving (CoMP) comes in inhibition layer and interlayer interference.
Cloud computing layer is software definition, it is characterised in that centralization calculates and the attribute of caching.All signal processing lists Member works together in large-scale physics Base Band Unit pond, to share the signaling that entire mist calculates, business datum and channel status Information.When the network load grows, operator needs to upgrade Base Band Unit pond only to adapt to increased capacity.
As shown in Figure 2.This programme proposes a kind of adaptive model selection, makes full use of these four modes.
Edge intelligence is accessed without the controlled users apparatus self-adaptation in counting system framework under a kind of environment of internet of things In the unlimited network of service system, and according to the movement speed of user equipment, communication distance, position, quality of service requirement, processing Four kinds of transmission modes: D2D repeater mode, Local-distributed coodination modes are selected with cache capability, global cloud transmits mould Formula and HPN mode.
In D2D and repeater mode, two equipment via D2D or the wireless relaying technique based on third party device each other into Row communication.Local distributed coordination mode means that equipment accesses adjacent distributed base station, and communication terminates herein.It is global Cloud transmission mode means that all local distributed collaboration radio signal processing and cooperative radio resource management technical functionality exist It concentrates and realizes in distributed base station, the controlled users with high movement speed or in the covering cavity of distributed logic communication cloud Equipment must access the Internet of Things monitoring node indicated by HPN mode.
Other than all devices periodically listen for transmitted control signaling, under the supervision of Internet of Things monitoring node Optimum transmission mode is selected by the equipment accessed.In order to determine the optimal transmission mode of each equipment, first according to from Internet of Things The pilot channel of net monitoring node estimates the movement speed of equipment and at a distance from remaining distinct device.If equipment is in high speed Moving condition needs to provide real-time speech communicating service, then triggers HPN mode with high priority.If two communicated with one another There is equipment slower relative moving speed and their distance to be not more than threshold value D1, then triggers D2D mode.Otherwise, if Their distance is greater than D1 but is less than D2, and there are adjacent equipment can be used as the two equipment based on the The relay communication of three equipment, the then repeater mode based on third equipment are triggered, and realize property more better than other modes with this Energy.In addition, if two desired F-UE are moved slowly and their distance is greater than D2 but is less than D3 or their distance No more than D2, but at least one equipment does not support D2D and repeater mode, then using local distributed coordination mode.If this Ground distributed coordination mode cannot provide the distance between expected performance or two desired F-UE greater than D3, Huo Zhesuo The content of transmission comes from Cloud Server, then triggers global cloud transmission mode.

Claims (2)

1. a kind of Edge intelligence service system characterized by comprising Edge intelligence service system under environment of internet of things " four kinds of cloud+application layers " formula layout and four kinds of transmission modes,
Cloud, centralized control cloud, distributed logic communication cloud, distributed logic storage cloud and Internet of Things are communicated and stored i.e. in global set Net application layer;
D2D repeater mode, Local-distributed coodination modes, global cloud transmission mode and HPN mode;
The distributed logic communication cloud is made of multiple distributed base stations, by between multiple distributed base stations at cooperation Reason reaches the overload of release leading portion link, mitigates the effect being lined up with transmission latency;
Distributed logic storage cloud is made of the controlled users equipment in access mist counting system framework;Centralized control cloud is located at object In networking monitoring node, and cloud cloud computing central server is communicated and stored in global set and is constituted;
Distributed logic communication cloud is not only integrated with preceding radio frequency, and be integrated with the processing of local distributed collaboration radio signal and Cooperative radio resource management technical functionality, and distributed logic storage cloud is responsible for being locally stored in edge device and high speed is slow It deposits;Centralized control cloud is used to serve as the effect of control platform, is responsible for downward stratus and assigns control signaling;
The varieties of clouds are communicated and stored in global set is similar to the cloud computing center server in traditional cloud computing, responsible and user equipment With distributed base station transmission and interaction data, take on centrally stored and concentration communication function;
According to demand, the data received are selectively provided in internet of things application layer for final cloud computing center server User;
Further include:
Terminating layer, network access layer, cloud computing layer and Edge intelligence service system layer;Edge intelligence service system layer is by distribution The Edge intelligence service system access point that base station is evolved into, what the smart machine in terminating layer and network access layer was formulated;At end In end layer, equipment is directly communicated with neighbouring device in D2D mode, without the edge intelligence being evolved by distributed base station The help of energy service system access point will touching if the communication distance of the equipment of two potential pairings is more than D2D distance threshold The repeater mode based on third party device is sent out, to provide communication for the two equipment;
In network access layer, there are two kinds of edge communications entities: Internet of Things monitoring node and Edge intelligence service system System access point;Internet of Things monitoring node has basic compare for transmitting whole control signaling, and providing for the equipment of high-speed mobile The seamless coverage of special rate;Cloud computing layer is software definition, and centralization calculates and the attribute of caching;
All signal processing units work together in large-scale physics Base Band Unit pond, to share the signaling that entire mist calculates, industry Data of being engaged in and channel state information;
It accesses to controlled users apparatus self-adaptation mist to calculate in unlimited network, and according to the movement speed of user equipment, communication Distance, position, quality of service requirement handle with cache capability and select four kinds of transmission modes: D2D repeater mode, part Distributed coordination mode, global cloud transmission mode and HPN mode.
2. a kind of Edge intelligence service system as described in claim 1, which is characterized in that in D2D repeater mode, two use Wireless relaying technique of the family equipment by D2D or based on smart machine communicates with each other;Local distributed coordination mode meaning Controlled users equipment access in adjacent distributed base station, and communicate terminate herein, only will transmission result feedback upload;Entirely Office's cloud transmission mode means all local distributed collaboration radio signal processing and cooperative radio resource management technical functionality It concentrates and realizes in distributed base station, the controlled use with high movement speed or in the covering cavity of distributed logic communication cloud Family equipment must access the Internet of Things monitoring node indicated by HPN mode.
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Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110971707A (en) * 2019-12-17 2020-04-07 大连理工大学 Distributed service caching method in mobile edge network
CN111132096A (en) * 2019-12-30 2020-05-08 深圳蓝奥声科技有限公司 Wireless edge cooperative communication method and device
CN111131524A (en) * 2020-01-20 2020-05-08 上海市特种设备监督检验技术研究院 Real-time simulation system based on 5G
CN111328136A (en) * 2020-02-27 2020-06-23 咪咕文化科技有限公司 Data transmission control method and device based on eMBMS and electronic equipment
CN112702431A (en) * 2020-12-24 2021-04-23 中国科学院上海高等研究院 Industrial mobile equipment positioning system and method based on distributed edge calculation
CN112911608A (en) * 2021-01-14 2021-06-04 浙江大学 Large-scale access method for edge-oriented intelligent network
CN113282403A (en) * 2021-04-07 2021-08-20 中国地质大学(北京) Intelligent service dynamic adaptation evolution method
CN114025362A (en) * 2022-01-05 2022-02-08 华东交通大学 Railway construction safety monitoring method based on wireless communication and distributed computation
CN114040507A (en) * 2021-12-28 2022-02-11 无锡太湖学院 User service quality oriented fog wireless network resource allocation method and system
CN114706731A (en) * 2022-04-21 2022-07-05 中国地质大学(北京) Intelligent service real-time dynamic monitoring method

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130166712A1 (en) * 2011-12-27 2013-06-27 Microsoft Corporation Cloud-edge topologies
CN105610944A (en) * 2015-12-29 2016-05-25 北京物联远信息技术有限公司 IOT-oriented fog computing architecture
CN106101199A (en) * 2016-06-02 2016-11-09 西安电子科技大学 A kind of cloud based on SDN/mist hybrid network framework
CN107018534A (en) * 2016-01-28 2017-08-04 中兴通讯股份有限公司 A kind of method for realizing mobile edge calculations service, apparatus and system
CN107172166A (en) * 2017-05-27 2017-09-15 电子科技大学 The cloud and mist computing system serviced towards industrial intelligentization

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130166712A1 (en) * 2011-12-27 2013-06-27 Microsoft Corporation Cloud-edge topologies
CN105610944A (en) * 2015-12-29 2016-05-25 北京物联远信息技术有限公司 IOT-oriented fog computing architecture
CN107018534A (en) * 2016-01-28 2017-08-04 中兴通讯股份有限公司 A kind of method for realizing mobile edge calculations service, apparatus and system
CN106101199A (en) * 2016-06-02 2016-11-09 西安电子科技大学 A kind of cloud based on SDN/mist hybrid network framework
CN107172166A (en) * 2017-05-27 2017-09-15 电子科技大学 The cloud and mist computing system serviced towards industrial intelligentization

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
SHANHE YI ETC.: "Fog Computing:Platform and Applications", 《2015 THIRD IEEE WORKSHOP ON HOT TOPICS IN WEB SYSTEMS AND TECHNOLOGIES》 *
李世超: "基于雾计算的物联网架构研究", 《电信工程技术与标准化》 *

Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110971707A (en) * 2019-12-17 2020-04-07 大连理工大学 Distributed service caching method in mobile edge network
CN111132096A (en) * 2019-12-30 2020-05-08 深圳蓝奥声科技有限公司 Wireless edge cooperative communication method and device
CN111132096B (en) * 2019-12-30 2023-04-11 深圳蓝奥声科技有限公司 Wireless edge cooperative communication method and device
CN111131524A (en) * 2020-01-20 2020-05-08 上海市特种设备监督检验技术研究院 Real-time simulation system based on 5G
CN111328136A (en) * 2020-02-27 2020-06-23 咪咕文化科技有限公司 Data transmission control method and device based on eMBMS and electronic equipment
CN112702431B (en) * 2020-12-24 2022-08-02 中国科学院上海高等研究院 Industrial mobile equipment positioning system and method based on distributed edge calculation
CN112702431A (en) * 2020-12-24 2021-04-23 中国科学院上海高等研究院 Industrial mobile equipment positioning system and method based on distributed edge calculation
CN112911608A (en) * 2021-01-14 2021-06-04 浙江大学 Large-scale access method for edge-oriented intelligent network
CN113282403A (en) * 2021-04-07 2021-08-20 中国地质大学(北京) Intelligent service dynamic adaptation evolution method
CN113282403B (en) * 2021-04-07 2024-01-16 中国地质大学(北京) Intelligent service dynamic adaptation and development method
CN114040507A (en) * 2021-12-28 2022-02-11 无锡太湖学院 User service quality oriented fog wireless network resource allocation method and system
CN114025362A (en) * 2022-01-05 2022-02-08 华东交通大学 Railway construction safety monitoring method based on wireless communication and distributed computation
CN114706731A (en) * 2022-04-21 2022-07-05 中国地质大学(北京) Intelligent service real-time dynamic monitoring method

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