Mining 5G cloud network converged communication system and communication method

By introducing cloud network convergence platform and network slicing technology into the mining 5G communication system, intelligent resource and computing power allocation is achieved, solving the problem that traditional systems cannot meet different business needs, and improving system performance and stability.

CN119697609APending Publication Date: 2025-03-25SHENHUA SHENDONG COAL GRP +1
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Patent Information

Application Number
CN202411768987.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-03
Publication Date
2025-03-25

AI Technical Summary

Technical Problem

Traditional mining communication systems lack intelligent resource allocation and computing power allocation, and cannot meet the precise needs of different services of mining 5G private networks.

Method used

A mining 5G cloud network converged communication system is proposed, including a cloud network converged platform, 5G private network core network, transmission network, 5G wireless network and smart terminal. The cloud network convergence platform allocates computing resources according to the type of business, and the 5G private network core network and transmission network provide customized network slicing.

Benefits of technology

It improves the large bandwidth, low latency, high stability and multi-connection performance of 5G communication systems in coal mine applications, improves the intelligence of resource allocation, ensures the stability and efficiency of the system, and meets the precise needs of different services.

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Abstract

The invention provides a mining 5G cloud network convergence communication system and method, and the system comprises a cloud network convergence platform, a 5G private network core network, a transmission network, a 5G wireless network, and an intelligent terminal. The intelligent terminal is used for collecting information and transmitting the information to the cloud network integration platform through the 5G wireless network, the transmission network and the 5G private network core network in sequence; the cloud network integration platform divides mining 5G communication services into multiple service types, and each service type corresponds to one or more intelligent terminals; the cloud network convergence platform allocates computing power resources to the mining 5G communication services based on a computing power resource allocation strategy according to the service types of the mining 5G communication services; the 5G private network core network and the transmission network provide customized network slices for the mining 5G communication service according to a set slice strategy and a service type; and intelligent resource distribution and computing power distribution of the mining communication system are realized.
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Description

Technical Field

[0001] The present application relates to the field of 5G communication technology, and in particular to a 5G cloud network integrated communication system and communication method for mining. Background Art

[0003] In my country's coal mining sector, the current status of mining communication technologies and the main technical problems are as follows: traditional mining communication systems use a 5G architecture consisting of core networks, transmission networks, and wireless networks, lacking intelligent resource allocation, computing power allocation, and designs that meet the precise needs of different services in mining 5G private networks. Summary of the invention

[0004] The present application aims to solve one of the technical problems in the related art at least to some extent.

[0005] To this end, the purpose of this application is to propose a 5G cloud network integrated communication system and communication method for mining, so as to realize intelligent resource allocation and computing power allocation of mining communication systems.

[0006] To achieve the above-mentioned purpose, the first embodiment of the present application proposes a 5G cloud-network fusion communication system for mining, including a cloud-network fusion platform, a 5G private network core network, a transmission network, a 5G wireless network and an intelligent terminal, wherein the intelligent terminal is used to collect information and transmit the information to the cloud-network fusion platform through the 5G wireless network, the transmission network and the 5G private network core network in sequence; the cloud-network fusion platform divides the mining 5G communication service into multiple service types, and each service type corresponds to one or more intelligent terminals;

[0007] The cloud-network integration platform allocates computing resources to each of the 5G mining communication services based on the computing resource allocation strategy according to the service type of each of the 5G mining communication services;

[0008] The 5G private network core network and the transmission network provide customized network slices for the mining 5G communication services according to the service type.

[0009] In some implementations, the multiple business types include conventional business, key business and core business, the cloud-network integration platform allocates large resource computing power that does not require decision confirmation to the conventional business, the cloud-network integration platform allocates small resource computing power that requires decision confirmation to the key business, and the cloud-network integration platform allocates medium resource computing power that requires decision confirmation to the core business; the computing power values ​​of the large resource computing power, the small resource computing power and the medium resource computing power are related to the weights of the multiple business types.

[0010] In some implementations, the total computing power of the cloud-network integration platform includes the reserved computing power, the actual value of the computing power used by the intelligent terminals corresponding to all services, and the idle computing power other than the reserved computing power and the actual value of the computing power used. The computing power resource allocation strategy includes:

[0011] When the idle computing power is greater than 0, the computing power is allocated to each service according to the weight of each service type and the average value of the computing power allocated to the smart terminal service; wherein the weights of the conventional service, the key service and the core service are the first value, the second value and the third value respectively, the first value is greater than the third value, and the third value is greater than the second value;

[0012] When the idle computing power is less than 0 and the reserved computing power is greater than 0, the reserved computing power is scheduled, and the reserved computing power is allocated to the services corresponding to each service type according to the proportion of each of the multiple service types to the total computing power;

[0013] When the reserved computing power is 0 and the idle computing power is less than 0, the scheduling computing power is allocated to the key business and the core business first, reducing the number of smart terminals running the conventional business until the computing power meets the computing power requirements of the key business and the core business.

[0014] In some implementations, the cloud-network integration platform schedules the wireless network according to the status of the smart terminal.

[0015] In some implementations, the cloud-network integration platform allocates an exclusive frequency band to the smart terminal, and the cloud-network integration platform schedules different sub-frequency bands in the exclusive frequency band according to different states of the smart terminal.

[0016] In some implementations, the intelligent terminal includes an inspection device, the inspection device includes an idle state, a normal state, and a fully loaded state, the dedicated frequency band of the inspection device is 3400 MHz-3420 MHz, and the dedicated frequency band is divided into three sub-frequency bands, namely a first dedicated resource set, a second dedicated resource set, and a third dedicated resource set;

[0017] When the inspection device is in an idle state, the cloud-network integration platform schedules the first dedicated resource set or the third dedicated resource set;

[0018] When the inspection device is in a normal state, the cloud-network integration platform schedules the first dedicated resource set and the second dedicated resource set or the third dedicated resource set and the second dedicated resource set;

[0019] When the inspection equipment is in a fully loaded state, the cloud-network integration platform schedules a first dedicated resource set, a second dedicated resource set, and a third dedicated resource set.

[0020] In some implementations, the 5G private network core network is implemented based on SDN, NFV, and microservice concepts, lightweight NFs run on a virtualized cloud platform, virtualized NF modules are deployed on the cloud platform to form a mobile cloud core network MCC or sink to the vicinity of the access side base station to form a mobile edge core network MEC, and the SDN controller is responsible for the deployment, management, and migration of NFs, and establishes an SDN virtual tunnel connection for each core network slice; wherein, the core network slice is managed by CNNSSF, connected to the 5G core network EMS or directly connected to the network element, and the core network related slice configuration instructions are issued to schedule the resources of the VNF; wherein, the configuration network elements include: access and mobility management function AMF, session management function SMF, network slice selection function NSSF, network resource library function NRF, user port function UPF, unified data management function UDM, and policy control function PCF;

[0021] The 5G private network core network selects corresponding resources based on the user's contracted slice information to provide customized network slices for different services. The network slices are mutually isolated, end-to-end logical networks that run on a shared general hardware platform. The system allocates different virtual server resources, network bandwidth and QoS guarantees to each slice.

[0022] In some implementations, the system deploys the corresponding UPF and content cache server on the edge core network platform close to the base station to form an eMBB core network slice; deploys the corresponding UPF on the edge core network platform to form an uRLLC core network slice; for IoT services that are not sensitive to latency and bandwidth, the network function modules are centrally deployed on the cloud core network platform.

[0023] In some implementations, the conventional services include conventional mine sensor data information transmission, VR video, terminal video and conventional AI intelligent video monitoring; the key services include important high-security and reliability demand data information and private network information of specific equipment in the mine; the core services include video monitoring analysis and remote control information of comprehensive mining faces and excavation faces in core areas, emergency call-related information in voice servers, and emergency information in AI video detection.

[0024] To achieve the above-mentioned purpose, the second embodiment of the present application proposes a communication method of a 5G cloud-network fusion communication system for mining, wherein the 5G cloud-network fusion communication system for mining is the 5G cloud-network fusion communication system for mining described in the first aspect, and the communication method includes:

[0025] The cloud-network integration platform obtains the service type to which each of the mining 5G communication services belongs;

[0026] The cloud-network integration platform allocates computing resources to each of the 5G mining communication services based on the computing resource allocation strategy according to the service type to which each of the 5G mining communication services belongs;

[0027] The 5G private network core network and the transmission network provide customized network slices for each of the 5G mining communication services according to the service type of each of the 5G mining communication services.

[0028] The present application provides a 5G cloud-network integrated communication system and communication method for coal mines. The cloud-network integrated platform technology and the core network and transmission network slicing technology are used to improve the performance of the 5G communication system in coal mine applications with large bandwidth, low latency, high stability, and multiple connections. At the same time, the intelligent resource allocation of the 5G communication system is improved, and the stability and efficiency of the 5G communication system are ensured. The intelligent resource allocation and computing power allocation of the mine communication system are realized, and the design that meets the precise needs of different services of the mine 5G private network is realized.

[0029] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0031] Figure 1 An architecture diagram of a 5G cloud network fusion communication system for mining provided in an embodiment of the present application;

[0032] Figure 2 An architecture diagram of a 5G cloud network integrated communication system for mining provided in another embodiment of the present application;

[0033] Figure 3 A flow chart of the slice configuration and selection process of a 5G private network core network provided in an embodiment of the present application;

[0034] Figure 4 A schematic diagram of on-demand allocation of computing resources provided in an embodiment of the present application;

[0035] Figure 5 A flowchart of computing power allocation and scheduling provided in an embodiment of the present application. DETAILED DESCRIPTION

[0036] The embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0037] The following describes a 5G cloud-network integrated communication system and communication method for mining in an embodiment of the present application with reference to the accompanying drawings.

[0038] Figure 1 This is a block diagram of a 5G cloud network fusion communication system for mining provided in an embodiment of the present application. Figure 1 As shown, the 5G cloud-network fusion communication system for mining can include: cloud-network fusion platform, 5G private network core network, transmission network, 5G wireless network and various intelligent terminals, among which:

[0039] Smart terminals are used to collect information and transmit it to the cloud-network integration platform through the 5G wireless network, transmission network, and 5G private network core network in sequence; all types of smart terminals are intrinsically safe mining smart terminals, which are used to collect information and are connected to the 5G wireless network. Exemplary types of smart terminals include but are not limited to mining mobile phones, mining wearable terminals, camera equipment, and inspection equipment.

[0040] The 5G wireless network provides a 5G network environment for various intelligent terminals, realizing wireless signal transmission between the wired communication network and the wireless terminal. The deployment of 5G base stations of the 5G wireless network needs to be based on the coverage range of a single base station, the on-site environment, power supply conditions, foreign body interference, etc. The 5G network frequency bands include the already announced frequency bands as well as the 5G frequency bands that may be announced later.

[0041] The transmission network realizes information transmission between the 5G wireless network and the 5G private network core network, and realizes the connection between underground equipment and surface equipment.

[0042] The 5G private network core network is deployed above the mine shaft and is responsible for managing and processing the sent data.

[0043] The cloud-network fusion platform is a cloud-network integrated infrastructure and enabling platform that meets the needs of applications such as AI recognition, remote control, AR / VR, etc. It can ensure low-latency, high-reliability, and large-bandwidth network communications. It can also call on cloud-network capabilities, AI capabilities, and edge computing power through an open digital platform to achieve intelligent scheduling, control, and linkage based on cloud-network fusion collaboration.

[0044] The cloud-network integration platform divides mining 5G communication services into multiple service types, and each service type corresponds to one or more intelligent terminals; the cloud-network integration platform allocates computing resources to each mining 5G communication service based on the computing resource allocation strategy according to the service type of each mining 5G communication service; the 5G private network core network and transmission network provide customized network slices for mining 5G communication services according to the service type.

[0045] In some embodiments, mining 5G communication services are divided into three types of services, namely conventional services, key services and core services.

[0046] In some embodiments, conventional services include, but are not limited to: conventional mine sensor data information transmission, VR video, terminal video, and conventional AI intelligent video monitoring. Key services include, but are not limited to: important high-security and reliable demand data information and special network information for specific equipment in the mine. Core services include, but are not limited to: video monitoring analysis and remote control information of fully-mechanized mining faces and tunneling faces in core areas, emergency call related information in voice servers, and emergency information in AI video detection.

[0047] It can be understood that the architecture of the 5G cloud network integrated communication system for mining is as follows: Figure 2 As shown in the figure, different services have different requirements for the 5G private network core network and transmission network, and network slicing is performed accordingly to obtain core network exclusive slices and core network exclusive slices; the cloud-network fusion platform integrates resources, intelligent scheduling and unified management of processing data and other information to realize 5G cloud-network fusion communication for mining.

[0048] In some embodiments, the cloud-network integration platform includes a coal mine cloud platform, which provides cloud storage services, and cloud storage is a form of resource pool, and the three together constitute the infrastructure and service system in the cloud computing environment. Among them, the design of the coal mine cloud platform enables the enterprise system to change from a separate and mutually closed operation mode to a cross-departmental and cross-regional collaborative interaction and resource sharing.

[0049] The overall technical architecture of the coal mine cloud platform includes the infrastructure layer, virtualization layer, service layer, security protection, etc. Among them, the infrastructure layer provides hardware support for the private cloud platform operating environment, including data rooms, computing servers, storage servers, network facilities and data security facilities. The virtualization layer mainly abstracts the underlying hardware resources into another form of resources, and uniformly dispatches computing, storage, network, security resource pool and other resources, so as to provide them to the upper operating system or application. The service layer provides IaaS and PaaS2 cloud services. Security protection includes host defense, website defense, operation and maintenance audit, log audit and other modules, providing all-round security protection for the infrastructure layer, virtualization layer and service layer. The cloud resource pool mainly includes computing resource pool, storage resource pool and network resource pool, which can realize efficient centralized scheduling of resources, rapid integration and analysis of information, and convenient operation and maintenance of the whole system.

[0050] The cloud platform mainly includes IaaS platform and PaaS platform, which have the advantages of large storage capacity and fast computing transmission. Through the pooling of computing, storage and network resources, the university management of basic resources is realized, and software-defined service capabilities, multi-resource integration capabilities and big data support capabilities are provided. Among them, the IaaS platform is composed of core components such as Nova, Cinder, Swift, Neutron, Glance, Ironic, Keystone, Heat, etc., providing image management, computing management, network management and other services to improve the convenience of enterprises in using and managing IaaS layer resources (such as computing, storage, network, security). The PaaS platform is an important part of cloud computing, mainly providing computing platform and solution services, which can meet the needs of enterprises for the use of cloud platforms in different scenarios and improve the efficiency of enterprise business development.

[0051] The cloud storage system takes storage devices as the core and provides data storage and business access services through application software. Its structural model consists of four parts: storage layer, basic management layer, application interface layer, and access layer.

[0052] In some embodiments, the 5G private network core network may use sub-slice automatic activation technology, such as Figure 3As shown in the figure, customized network slices are provided for different services according to the established strategies and service types, and exclusive core network slices are obtained. The 5G private network core network is implemented based on SDN, NFV, and microservice ideas. Lightweight NFs run on a virtualized cloud platform. Virtualized NF modules can be deployed on the cloud platform to form a mobile cloud core network (MCC, mobile cloud core), or they can be sunk to the vicinity of the access side base station to form a mobile edge core network (MEC, mobile edge core). The SDN controller is responsible for the deployment, management, and migration of NFs, and establishes an SDN virtual tunnel connection (VPN connection) for each core network slice. Among them, the core network slice is managed by CNNSSF, connected to the 5G core network EMS or directly connected to the network element, and the core network related slice configuration instructions are issued to schedule the resources of the VNF. Configuration network elements include: AMF (access and mobility management function), SMF (Management function), NSSF (network slice selection function), NRF (network repository function), UPF (User Port Function), UDM (Unified Data Management), PCF (Policy Control Function), etc. According to the user's contracted slice information, the 5G private network core network selects the corresponding resources for service, thereby realizing the core network logical slice, and can provide customized network slices for different services according to established policies.

[0053] Therefore, the 5G private network core network selects corresponding resources based on the user's contracted slice information to provide customized network slices for different services.

[0054] In some embodiments, to meet the intelligent video monitoring requirements of enhanced mobile broadband (eMBB) scenarios, the corresponding UPF and content cache server can be deployed on the edge core network platform close to the base station to form an eMBB core network slice. For the unmanned intelligent requirements of ultra-reliable and low-latency communications (uRLLC) for mining, the corresponding UPF is deployed on the edge core network platform to form a uRLLC core network slice. For IoT services that are not sensitive to latency and bandwidth, such as mining disaster monitoring sensors, the network function modules are still centrally deployed on the cloud core network platform. All network slices are isolated, end-to-end logical networks that run on a shared general hardware platform. The system allocates different virtual server resources, network bandwidth and QoS guarantees to each slice.

[0055] In some embodiments, Figure 4 As shown in the figure, the cloud-network fusion platform allocates large resource computing power for conventional services, which does not require decision confirmation, but requires a large amount of computing power resources, can realize intelligent processing, and ensure the timely and efficient completion of services. The cloud-network fusion platform allocates small resource computing power for key services to transmit information back. Since key services involve sensitive and other related data information or specific private network equipment, in order to ensure the accuracy of information processing, the computing power only needs to provide undistorted information data, and then the decision is confirmed to ensure the high-quality and stable completion of key services. The cloud-network fusion platform allocates medium resource computing power for core services for preprocessing, and makes a general decision based on the preprocessing situation and the received information summary when confirming the decision, to ensure the reliable completion of core services. It should be noted that the computing power values ​​of large resource computing power, small resource computing power and medium resource computing power are related to the weights of various business types.

[0056] Therefore, for routine business, large computing power is allocated to form an intelligent processing mechanism for information processing, which can save a lot of decision confirmation and improve information processing efficiency; for key business, due to the business's demand for high reliability, more unprocessed original information is required, and the decision is confirmed by the decision maker. At this time, the authenticity and reliability of the first-hand data received when the decision is confirmed can be guaranteed; for core business, medium computing power resources are allocated, and the computing power resources can be used for pre-processing, and then the original data can be uploaded and the decision is confirmed, which can not only ensure the accuracy of data information but also improve the efficiency of information processing.

[0057] In some embodiments, the total computing power of the cloud-network integration platform includes the reserved computing power, the actual value of the computing power used by the intelligent terminals corresponding to all services, and the idle computing power other than the reserved computing power and the actual value of the computing power used. The computing power resource allocation strategy includes:

[0058] When the idle computing power is greater than 0, computing power is allocated to each service according to the weight of each service type and the average value of the computing power allocated to the smart terminal service;

[0059] When the idle computing power is less than 0 and the reserved computing power is greater than 0, the reserved computing power is scheduled and allocated to the services corresponding to each service type according to the proportion of each service type in the total computing power;

[0060] When the reserved computing power is 0 and the idle computing power is less than 0, the computing power is scheduled to be allocated to key and core businesses first, reducing the number of smart terminals running regular businesses until the computing power meets the computing power requirements of key and core businesses.

[0061] As a way to achieve this, the total computing power of the cloud-network integration platform P 总 It is divided into the following parts:

[0062] P 总 =P 用 +P 空 +P 留 (1)

[0063] Among them, P 留 To reserve computing power, for example, 10% of computing power is reserved for emergency situations, that is, P 留 =0.1P 总 ;P 用 The actual value of computing power used by all smart terminals, B 空 It is the idle computing power value besides the reserved computing power.

[0064] P 用 = P 均 *N (2)

[0065] Among them, P 均 The average value of computing power allocated to smart terminal services, where N is the number of smart terminals.

[0066] Since different businesses have different requirements for computing power, the computing power allocation for different businesses meets the following conditions:

[0067] P i =Q i *P 均 (3)

[0068] Among them, Q i is the weight coefficient of computing power, the weight of conventional business is 1.5, the weight of key business is 0.3, and the weight of core business is 1. Then formula (2) can be converted into the following formula:

[0069] P 用 =N 常 *1.5*P 均 + N重 *0.3 *P 均 +N 核 *1*P 均 (4)

[0070] Among them, N 常 is the number of smart terminals for regular services, N 重 The number of smart terminals for key services, N 核 The number of smart terminals for core business.

[0071] In some embodiments, Figure 5 As shown in the figure, the computing power allocation method of the cloud-network fusion platform includes:

[0072] If P 空 If it is greater than or equal to 0, it indicates that the computing power resources are sufficient at this time, and the computing power is allocated to different businesses according to the above formula (4);

[0073] If P 空 Less than 0, priority scheduling P 留 Computing power is allocated to the corresponding businesses according to the proportion of the three business types in the total computing power;

[0074] If the schedule P 留 P after computing power 空 If it is still less than 0, the cloud-network integration platform will adjust the computing power to prioritize key and core businesses, reducing N 常 until the computing power meets the needs of priority and core businesses.

[0075] In some embodiments, the cloud-network integration platform schedules the wireless network according to the status of the smart terminal, and the wireless resources can adopt on-demand resource scheduling technology.

[0076] For example, a conventional inspection device is configured with 4 high-definition cameras. Up to 4 cameras can be used simultaneously, each with 1080p, and the network requirement is up to 40Mbps; environmental parameter detection, voice calls, and infrared thermal imaging require a network of about 10Mbps; the total network requirement is up to 50Mbps.

[0077] The equipment status of the inspection equipment can be divided into: idle state, normal state, and full load state. Among them, the idle state is when the amount of inspection information is small, and only 2 high-definition cameras are needed to work. The network requirement at this time is 20Mbps; the normal state is when the amount of inspection information is moderate, and 2 high-definition cameras and environmental parameter detection, voice calls, and infrared thermal imaging are required. The network requirement at this time is 30Mbps; the full load state is when the amount of inspection information is large, and 4 high-definition cameras and environmental parameter detection, voice calls, and infrared thermal imaging are required. The network requirement at this time is 50Mbps.

[0078] In some embodiments, the cloud-network integration platform allocates an exclusive frequency band to the smart terminal, and the cloud-network integration platform schedules different sub-frequency bands in the exclusive frequency band according to different states of the smart terminal.

[0079] In other words, the 5G wireless network adopts exclusive wireless resource technology. For example, different wireless resource bandwidths are divided according to the equipment status of the inspection equipment. When the inspection equipment is working, the cloud-network fusion platform dispatches the corresponding exclusive frequency band for the inspection equipment to use based on the amount of inspection information.

[0080] Exemplary method for scheduling exclusive frequency bands for inspection equipment:

[0081] The exclusive frequency band for inspection equipment is 3400MHz-3420 MHz, which is divided into three sub-bands: dedicated resource set 1 (i.e. the first dedicated resource set, 3400MHz-3408 MHz), dedicated resource set 2 (i.e. the second dedicated resource set, 3408MHz-3412 MHz), and dedicated resource set 3 (i.e. the third dedicated resource set, 3412MHz-3420MHz).

[0082] In the idle state, the cloud-network integration platform schedules dedicated resource set 1 or dedicated resource set 3;

[0083] In normal state, the cloud-network integration platform schedules dedicated resource set 1 + dedicated resource set 2 or dedicated resource set 3 + dedicated resource set 2;

[0084] In the fully loaded state, the cloud-network integration platform dispatches dedicated resource set 1 + dedicated resource set 2 + dedicated resource set 3.

[0085] Therefore, by scheduling different resources according to the different states of the device, on-demand scheduling of resources is achieved to improve resource utilization and processing efficiency.

[0086] The 5G cloud-network integrated communication system for mining in the embodiment of the present application utilizes cloud-network integrated platform technology as well as core network and transmission network slicing technology to improve the performance of large bandwidth, low latency, high stability, and multiple connections of the 5G communication system in coal mine applications. At the same time, it improves the intelligence of resource allocation of the 5G communication system, ensures the stability and efficiency of the 5G communication system, realizes intelligent resource allocation and computing power allocation of the mining communication system, and meets the design of precise requirements of different services of the mining 5G private network.

[0087] On the basis of any of the above embodiments, the embodiment of the present application proposes a communication method of a 5G cloud network integrated communication system for mining, and the communication method includes:

[0088] The cloud-network integration platform obtains the service type of each mine's 5G communication service;

[0089] The cloud-network integration platform allocates computing resources to each mining 5G communication service based on the computing resource allocation strategy according to the service type of each mining 5G communication service;

[0090] The 5G private network core network and transmission network provide customized network slices for each mining 5G communication service based on the service type of each mining 5G communication service.

[0091] In the description of the aforementioned embodiments, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0092] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0093] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0094] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0095] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A 5G cloud network fusion communication system for mining, characterized in that: It includes a cloud-network integration platform, a 5G private network core network, a transmission network, a 5G wireless network and an intelligent terminal. The intelligent terminal is used to collect information and transmit the information to the cloud-network integration platform through the 5G wireless network, the transmission network and the 5G private network core network in sequence; the cloud-network integration platform divides the mining 5G communication service into multiple service types, and each service type corresponds to one or more intelligent terminals; The cloud-network integration platform allocates computing resources to each of the 5G mining communication services based on the computing resource allocation strategy according to the service type of each of the 5G mining communication services; The 5G private network core network and the transmission network provide customized network slices for the mining 5G communication services according to the service type.

2. The mining 5G cloud network fusion communication system according to claim 1 is characterized in that: The multiple business types include conventional business, key business and core business. The cloud-network integration platform allocates large resource computing power that does not require decision confirmation to the conventional business, allocates small resource computing power that requires decision confirmation to the key business, and allocates medium resource computing power that requires decision confirmation to the core business; the computing power values ​​of the large resource computing power, the small resource computing power and the medium resource computing power are related to the weights of the multiple business types.

3. The mining 5G cloud network fusion communication system according to claim 2 is characterized in that: The total computing power of the cloud-network integration platform includes the reserved computing power, the actual value of the computing power used by the intelligent terminals corresponding to all services, and the idle computing power other than the reserved computing power and the actual value of the computing power used. The computing power resource allocation strategy includes: When the idle computing power is greater than 0, the computing power is allocated to each service according to the weight of each service type and the average value of the computing power allocated to the smart terminal service; wherein the weights of the conventional service, the key service and the core service are the first value, the second value and the third value respectively, the first value is greater than the third value, and the third value is greater than the second value; When the idle computing power is less than 0 and the reserved computing power is greater than 0, the reserved computing power is scheduled, and the reserved computing power is allocated to the services corresponding to each service type according to the proportion of each of the multiple service types to the total computing power; When the reserved computing power is 0 and the idle computing power is less than 0, the scheduling computing power is allocated to the key business and the core business first, reducing the number of smart terminals running the conventional business until the computing power meets the computing power requirements of the key business and the core business.

4. The mining 5G cloud network fusion communication system according to claim 1 is characterized in that: The cloud-network integration platform schedules the wireless network according to the status of the smart terminal.

5. The mining 5G cloud network fusion communication system according to claim 4 is characterized in that: The cloud-network integration platform allocates a dedicated frequency band to the smart terminal, and the cloud-network integration platform schedules different sub-frequency bands in the dedicated frequency band according to different states of the smart terminal.

6. The mining 5G cloud network fusion communication system according to claim 5 is characterized in that: The intelligent terminal includes an inspection device, the inspection device includes an idle state, a normal state and a fully loaded state, the exclusive frequency band of the inspection device is 3400MHz-3420MHz, and the exclusive frequency band is divided into three sub-frequency bands, namely a first dedicated resource set, a second dedicated resource set and a third dedicated resource set; When the inspection device is in an idle state, the cloud-network integration platform schedules the first dedicated resource set or the third dedicated resource set; When the inspection device is in a normal state, the cloud-network integration platform schedules the first dedicated resource set and the second dedicated resource set or the third dedicated resource set and the second dedicated resource set; When the inspection equipment is in a fully loaded state, the cloud-network integration platform schedules a first dedicated resource set, a second dedicated resource set, and a third dedicated resource set.

7. The mining 5G cloud network fusion communication system according to claim 1 is characterized in that: The 5G private network core network is implemented based on SDN, NFV, and microservice concepts. Lightweight NFs run on a virtualized cloud platform. Virtualized NF modules are deployed on the cloud platform to form a mobile cloud core network MCC or sink to the vicinity of the access side base station to form a mobile edge core network MEC. The SDN controller is responsible for the deployment, management, and migration of NFs, and establishes an SDN virtual tunnel connection for each core network slice; wherein, the core network slice is managed by CNNSSF, connected to the 5G core network EMS or directly connected to the network element, and the core network related slice configuration instructions are issued to schedule the resources of the VNF; wherein, the configuration network elements include: access and mobility management function AMF, session management function SMF, network slice selection function NSSF, network resource library function NRF, user port function UPF, unified data management function UDM, and policy control function PCF; The 5G private network core network selects corresponding resources based on the user's contracted slice information to provide customized network slices for different services. The network slices are mutually isolated, end-to-end logical networks that run on a shared general hardware platform. The system allocates different virtual server resources, network bandwidth and QoS guarantees to each slice.

8. The mining 5G cloud network fusion communication system according to claim 7 is characterized in that: The system deploys the corresponding UPF and content cache server on the edge core network platform close to the base station to form an eMBB core network slice; deploys the corresponding UPF on the edge core network platform to form an uRLLC core network slice; for IoT services that are not sensitive to latency and bandwidth, the network function modules are centrally deployed on the cloud core network platform.

9. The mining 5G cloud network integrated communication system according to claim 2 is characterized in that: The conventional business includes conventional mine sensor data information transmission, VR video, terminal video and conventional AI intelligent video monitoring; the key business includes important high-security and reliable demand data information and special network information of specific equipment in the mine; the core business includes video monitoring analysis and remote control information of comprehensive mining faces and excavation faces in core areas, emergency call-related information in voice servers and emergency information in AI video detection.

10. A communication method for a 5G cloud network fusion communication system for mining, characterized in that: The 5G cloud-network fusion communication system for mining is the 5G cloud-network fusion communication system for mining according to any one of claims 1 to 9, and the communication method comprises: The cloud-network integration platform obtains the service type to which each of the mining 5G communication services belongs; The cloud-network integration platform allocates computing resources to each of the 5G mining communication services based on the computing resource allocation strategy according to the service type to which each of the 5G mining communication services belongs; The 5G private network core network and the transmission network provide customized network slices for each of the 5G mining communication services according to the service type of each of the 5G mining communication services.

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