CN115883268A - Industrial production computing power network service charging method, platform, equipment and medium - Google Patents
Industrial production computing power network service charging method, platform, equipment and medium Download PDFInfo
- Publication number
- CN115883268A CN115883268A CN202211457375.1A CN202211457375A CN115883268A CN 115883268 A CN115883268 A CN 115883268A CN 202211457375 A CN202211457375 A CN 202211457375A CN 115883268 A CN115883268 A CN 115883268A
- Authority
- CN
- China
- Prior art keywords
- industrial production
- node
- power network
- network service
- computational
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000009776 industrial production Methods 0.000 title claims abstract description 206
- 238000000034 method Methods 0.000 title claims abstract description 35
- 238000004364 calculation method Methods 0.000 claims abstract description 53
- 238000013468 resource allocation Methods 0.000 claims abstract description 47
- 238000009826 distribution Methods 0.000 claims abstract description 27
- 238000004519 manufacturing process Methods 0.000 claims description 20
- 230000015654 memory Effects 0.000 claims description 20
- 238000003860 storage Methods 0.000 claims description 15
- 238000004590 computer program Methods 0.000 claims description 11
- 238000007726 management method Methods 0.000 description 16
- 238000004422 calculation algorithm Methods 0.000 description 7
- 238000010586 diagram Methods 0.000 description 7
- 238000011161 development Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 4
- 238000005259 measurement Methods 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 230000003044 adaptive effect Effects 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 230000006872 improvement Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000005457 optimization Methods 0.000 description 2
- 230000000737 periodic effect Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 229910000831 Steel Inorganic materials 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 238000009432 framing Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 239000010959 steel Substances 0.000 description 1
- 238000009628 steelmaking Methods 0.000 description 1
- 239000004575 stone Substances 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
Images
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention provides a method, a platform, equipment and a medium for charging a computing power network service in industrial production, which relate to the technical field of computing power networks and industrial internets and are used for realizing reasonable charging of the combination of the industrial internets and the computing power networks, and the method comprises the following steps: receiving a request for distributing computing power network service resources for certain industrial production sent by an enterprise node; acquiring a plurality of service scenes included in the certain industrial production according to the request, and establishing a computing power network resource allocation model under each service scene; selecting the minimum cost standard meeting the requirement for each calculation network resource distribution model according to the preset calculation network service package charging standard, and making a corresponding calculation network service contract with the enterprise node; and distributing corresponding computing power network service resources for each business scene of the certain industrial production according to the contract and the corresponding computing power network resource distribution model. The invention can save the cost of the computing network service resources for the user.
Description
Technical Field
The invention relates to the technical field of computing power networks and industrial internets, in particular to a computing power network service charging method for industrial production, a computing power network platform, computer equipment and a computer readable storage medium.
Background
Along with diversified business requirements and industrial transformation and upgrading of manufacturing enterprises, various innovative algorithms continuously emerge, data are more and more complex, and data volume is increased dramatically, in order to meet development requirements of flexible and automatic manufacturing production, application requirements of various intelligent technologies are continuously increased in the industrial production process, and therefore, introduction of computing power network services into the field of industrial internet becomes a new technological development trend, however, a network service charging mode in the prior art cannot be completely adapted to computing power network service charging, and meanwhile, a corresponding charging mode which is combined with industrial internet production characteristics is not available, so that the problem of unreasonable charging possibly caused and user experience of industrial production enterprises is influenced is solved.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a method for charging for computing power network service in industrial production, a computing power network platform, a computer device and a computer readable storage medium, aiming at solving the problems that the network service charging mode in the prior art cannot be completely adapted to computing power network service charging, and meanwhile, a corresponding charging mode combining the production characteristics of the industrial internet does not exist, and further, unreasonable charging may be caused, and the user experience of industrial production enterprises is affected.
In a first aspect, the present invention provides a method for charging for computing power network service in industrial production, which is applied to a computing power network platform, and the method includes:
receiving a request for distributing computing power network service resources for certain industrial production sent by an enterprise node;
acquiring a plurality of service scenes included in the certain industrial production according to the request, and establishing a computing power network resource allocation model under each service scene;
selecting a minimum cost standard meeting the requirement for each computational network resource allocation model according to a preset computational network service package charging standard, and achieving a corresponding computational network service contract with the enterprise node;
and distributing corresponding computing power network service resources for each business scene of the certain industrial production according to the contract and the corresponding computing power network resource distribution model.
Optionally, before receiving the request sent by the enterprise node to allocate the computing network service resource for the certain industrial production, the method further includes:
receiving registration information of industrial production equipment nodes, edge calculation force nodes and enterprise nodes;
and respectively allocating unique identification information to the industrial production equipment node, the edge calculation force node and the enterprise node according to the registration information, wherein the identification information identifies the relationship among the edge calculation force node and the industrial production equipment node which are administered by the enterprise node and the industrial production equipment node which is served by the edge calculation force node.
Optionally, the obtaining a plurality of service scenarios included in the certain industrial production according to the request, and establishing a computational power network resource allocation model under each service scenario specifically include:
determining an edge calculation force node and an industrial production equipment node under the jurisdiction of the enterprise node which need to be called in the certain industrial production according to the information of the certain industrial production included in the request;
determining a plurality of service scenes included in the certain industrial production according to the service scenes corresponding to the industrial production equipment nodes needing to be called;
and inquiring the resource capacity and demand information of the edge calculation force node and the industrial production equipment node which need to be called, and measuring the calculation force network service resource which needs to be distributed under each service scene so as to establish a calculation force network resource distribution model under each service scene.
Optionally, before querying the resource capability and requirement information of the edge computing power node and the industrial production equipment node which need to be called, the method further includes:
and receiving self resource capacity information sent by the edge computing power node, and resource capacity information of an industrial production equipment node served by the edge computing power node in an idle state and resource demand information in a full load state.
Optionally, the querying resource capability and demand information of the edge computational power node and the industrial production equipment node that need to be called, and measuring the computational power network service resource that needs to be allocated in each service scenario specifically include:
determining the load state of each industrial production equipment node required to be called in the certain industrial production according to the information of the certain industrial production;
determining the resource demand of each industrial production equipment node in the certain industrial production according to the load state and the resource demand information of the corresponding industrial production equipment node in the full load state;
determining the computational power network service resources which need to be distributed in the certain industrial production of the corresponding industrial production equipment nodes according to the resource requirements in combination with the resource capacity information of the corresponding industrial production equipment nodes in the no-load state and the resource capacity information of the edge computational power nodes serving the industrial production equipment nodes;
and integrating the computational power network service resources required to be distributed by a plurality of industrial production equipment nodes in the same service scene in the certain industrial production to obtain the computational power network service resources required to be distributed in each service scene in the certain industrial production.
Optionally, the selecting, according to a preset computational power network service package charging standard, a minimum cost standard meeting requirements for each computational power network resource allocation model, and making a corresponding computational power network service contract with the enterprise node specifically includes:
confirming whether a first computing network service contract is achieved with the enterprise node in advance;
if yes, according to the calculation network service package charging standard agreed in the first calculation network service contract, selecting the minimum cost standard meeting the requirement for each calculation network resource distribution model, and sending a charging bill comprising the cost of each calculation network resource distribution model to the enterprise node;
if not, selecting the minimum cost standard meeting the requirement for each computational power network resource allocation model according to the preset computational power network service package charging standard, generating a second computational power network service contract of a charging bill comprising the cost of each computational power network resource allocation model, sending the second computational power network service contract to the enterprise node, and receiving the information of signing the second computational power network service contract by the enterprise node.
Optionally, the sending a billing bill including a charge of each computational network resource allocation model to the enterprise node specifically includes:
if the enterprise node is appointed in the first computing network service contract in a prepayment mode, further confirming whether the prepayment of the enterprise node is enough to pay the fee of the charging bill, if so, deducting the corresponding fee from the prepayment and sending the charging bill to the enterprise node, and if not, sending a payment notice to the enterprise node;
and if the enterprise node is agreed to adopt a post-payment mode in the first computing network service contract, sending the charging bill to the enterprise node after the certain industrial production is finished or at the agreed time.
In a second aspect, the present invention provides a computing power network platform, comprising:
the receiving module is used for receiving a request for distributing computing power network service resources for certain industrial production sent by an enterprise node;
the modeling module is connected with the receiving module and used for acquiring a plurality of service scenes included in the certain industrial production according to the request and establishing a computational power network resource allocation model under each service scene;
the charging module is connected with the modeling module and used for selecting the minimum cost standard meeting the requirements for each computational power network resource allocation model according to the preset computational power network service package charging standard and achieving a corresponding computational power network service contract with the enterprise node;
and the distribution module is connected with the charging module and used for distributing corresponding computing power network service resources for each business scene of the certain industrial production according to the contract and the corresponding computing power network resource distribution model.
In a third aspect, the present invention provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and when the processor runs the computer program stored in the memory, the processor executes the method for charging for industrial productivity network service as described above.
In a fourth aspect, the present invention provides a computer-readable storage medium, in which a computer program is stored, which, when executed by a processor, implements the method for charging for industrial productivity network services as described above.
The invention provides an industrial production computing power network service charging method, a computing power network platform, computer equipment and a computer readable storage medium, wherein a computing power network resource distribution model is established according to a business scene of industrial production, charging is carried out on each computing power network resource distribution model, and according to the minimum charging standard meeting the industrial production requirement, computing power network service resources adaptive to the requirement are distributed for industrial production enterprise users, the industrial production is ensured to be carried out smoothly, meanwhile, the cost is saved for the users, and the user experience is favorably improved.
Drawings
FIG. 1 is a flow chart of a method for billing for computing power of industrial production network services according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of identification information according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a computational power network platform according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a computer device according to an embodiment of the present invention.
Detailed Description
In order to make those skilled in the art better understand the technical solution of the present invention, the following detailed description will be made with reference to the accompanying drawings.
It is to be understood that the specific embodiments and figures described herein are merely illustrative of the invention and are not limiting of the invention.
It is to be understood that the embodiments and features of the embodiments can be combined with each other without conflict.
It is to be understood that, for the convenience of description, only parts related to the present invention are shown in the drawings of the present invention, and parts not related to the present invention are not shown in the drawings.
It should be understood that each unit and module related in the embodiments of the present invention may correspond to only one physical structure, may also be composed of multiple physical structures, or multiple units and modules may also be integrated into one physical structure.
It will be understood that, without conflict, the functions, steps and processes noted in the flowcharts and block diagrams of the present invention may occur in an order different from that noted in the figures.
It is to be understood that the flowchart and block diagrams of the present invention illustrate the architecture, functionality, and operation of possible implementations of systems, apparatus, devices and methods according to various embodiments of the present invention. Each block in the flowchart or block diagrams may represent a unit, module, segment, code, which comprises executable instructions for implementing the specified function(s). Furthermore, each block or combination of blocks in the block diagrams and flowchart illustrations can be implemented by a hardware-based system that performs the specified functions or by a combination of hardware and computer instructions.
It should be understood that the units and modules referred to in the embodiments of the present invention may be implemented by software, or may be implemented by hardware, for example, the units and modules may be located in a processor.
To facilitate an understanding of the present invention, the industrial Internet and computing power networks will first be described.
The Industrial Internet (Industrial Internet) is a new infrastructure, an application mode and an Industrial ecology deeply integrated by a new generation of information communication technology and Industrial economy, and a brand new manufacturing and service system covering a whole Industrial chain and a whole value chain is constructed by comprehensively connecting people, machines, objects, systems and the like, so that a realization way is provided for the digitization, networking and intelligent development of industry and even industry, and the Industrial Internet is an important foundation stone of the fourth Industrial revolution.
The computing power network is a solution for providing optimal resource allocation and network connection schemes and realizing optimal use of resources in the whole network aiming at user requirements by distributing computing power information, storage information, algorithm information and the like of service nodes through the network and combining the network information. The computing power network aims at communicating resource islands scattered in the whole network to construct a cloud, edge and end type data collaborative computing system, and the computing power network can obtain needed computing power resources at any time according to needs through collaborative scheduling processing on multidimensional resources such as computing power and network, so that the global optimization of the computing power network is realized while the good experience of consistent users is met, and the resource utilization rate of the computing power of the whole network is improved.
The current technical development trend is that an industrial computing network platform, a network and an application overall architecture system facing an industrial internet are created on the basis of a computing power network, a unified industrial field computing power network system standard is formed by combining the application scenes of the computing power network in the industrial internet aiming at the key technical capabilities of scheduling, arranging, operating and the like of ubiquitous computing power network resources around computing power network infrastructures such as an internal network, an external network, a central cloud computing, an edge computing and an end computing, and a ubiquitous, multidimensional and three-dimensional computing power creation system is established for the subsequent independent platform, network, edge computing and application standard framing architecture.
Aiming at the fact that equipment with different forms exists in a factory at present, the equipment comprises industrial production equipment and edge computing power node equipment which can be arranged for automatic and intelligent production, the positions of the equipment in an industrial network are different, the types of chips contained in the equipment and the computing and storing capacity are different, and correspondingly responsible businesses are different.
Example 1:
as shown in FIG. 1, the invention provides an industrial production computing power network service method, which is applied to a computing power network platform and comprises steps S11-S14.
S11, receiving a request for distributing computing power network service resources for certain industrial production, which is sent by an enterprise node.
Optionally, before the receiving a request sent by an enterprise node to allocate computing power network service resources for a certain industrial production, the method further includes:
receiving registration information of industrial production equipment and enterprise nodes, and respectively allocating unique identification information to each industrial production equipment and each enterprise node;
receiving registration information of industrial production equipment nodes, edge calculation force nodes and enterprise nodes;
and respectively allocating unique identification information to the industrial production equipment node, the edge computational power node and the enterprise node according to the registration information, wherein the identification information identifies the relationship between the edge computational power node and the industrial production equipment node which are administered by the enterprise node and the industrial production equipment node which is served by the edge computational power node.
Specifically, in this embodiment, an computing power network platform based on an industrial internet is provided, where at least one enterprise node is provided for an industrial production enterprise to be responsible for interfacing with the computing power network platform, and all edge computing power nodes and industrial production equipment nodes of the enterprise are managed at the same time, the edge computing power nodes are deployed on an industrial production equipment node convergence layer and are used to provide computing power services for the industrial production equipment nodes, the industrial production equipment nodes refer to all production equipment in an industrial field and are deployed in the industrial field, and the computing power network platform may specifically include a computing network management platform and a computing network transaction platform; in order to facilitate management, it is required to register each node in advance, the nodes of the industrial production equipment register in the edge algorithm node, the enterprise node and the algorithm management platform, the edge algorithm node and the enterprise node register in the algorithm management platform, and the information to be registered includes but is not limited to: the system comprises a computer management platform, a computer network transaction platform, a network management platform and a network management system, wherein the computer management platform comprises a device model, an IP (Internet Protocol) address, a Media Access Control (MAC) address, a geographic position, a memory, a chip type, performance parameter requirements, a Central Processing Unit (CPU)/Graphic Processing Unit (GPU) core number, general CPU computing power, a Protocol mode, an enterprise name, enterprise registration information and the like, and the computer management platform synchronizes the registration information to a computing network transaction platform; the abacus network management platform verifies the information of the industrial production equipment nodes, the edge power-calculating nodes and the enterprise nodes, sends digital certificates and private keys to the nodes after the verification is passed, simultaneously distributes unique identification information to the industrial production equipment nodes, the edge power-calculating nodes and the enterprise nodes respectively, uses a unified identification structure and is divided into prefixes (including country codes, industry codes and enterprise codes) and suffixes (edge power-calculating node codes, equipment node codes and extension codes), and the specific structure is shown in figure 2. The enterprise code corresponds to an enterprise node, the edge calculation force node code corresponds to an edge calculation force node, the equipment node code corresponds to an industrial production equipment node, and the relationship between the edge calculation force node under the jurisdiction of the enterprise node and the industrial production equipment node served by the edge calculation force node can be determined through identification information, for example, the identification information is 88.10010.0010, M1000010.X00010.00, the enterprise node is 0010, the edge calculation force node M1000010 is the edge calculation force node under the enterprise node 0010, and the equipment node X00010.00 is the industrial production equipment node under the edge calculation force node M1000010 under the enterprise node 0010; after the registration is completed, the enterprise node can initiate a computing network resource service requirement to the computing network platform according to the actual production situation, so as to request the computing network platform to distribute computing network service resources for the industrial production of a certain time arranged by the enterprise node, wherein the distributing of computing network service resources can include the sending of the site position, the identification information, the industrial production plan and the like of the enterprise node.
S12, obtaining a plurality of service scenes included in the certain industrial production according to the request, and establishing a computing power network resource allocation model under each service scene.
Optionally, the obtaining a plurality of service scenarios included in the certain industrial production according to the request, and establishing a computational power network resource allocation model under each service scenario specifically includes:
determining an edge calculation force node and an industrial production equipment node under the jurisdiction of the enterprise node which needs to be called in the certain industrial production according to the information of the certain industrial production included in the request;
determining a plurality of service scenes included in the certain industrial production according to the service scenes corresponding to the industrial production equipment nodes needing to be called;
and inquiring the resource capacity and demand information of the edge calculation force node and the industrial production equipment node which need to be called, and measuring the calculation force network service resource which needs to be distributed under each service scene so as to establish a calculation force network resource distribution model under each service scene.
Optionally, before querying the resource capability and requirement information of the edge computing power node and the industrial production equipment node which need to be called, the method further includes:
and receiving self resource capacity information sent by the edge computing power node, and resource capacity information of an industrial production equipment node served by the edge computing power node in an idle state and resource demand information in a full load state.
Optionally, the querying resource capability and demand information of the edge computational power node and the industrial production equipment node that need to be called, and measuring the computational power network service resource that needs to be allocated in each service scenario specifically include:
determining the load state of each industrial production equipment node required to be called in the certain industrial production according to the information of the certain industrial production;
determining the resource demand of each industrial production equipment node in the certain industrial production according to the load state and the resource demand information of the corresponding industrial production equipment node in the full load state;
determining the computational power network service resources which need to be distributed in the certain industrial production of the corresponding industrial production equipment nodes according to the resource requirements in combination with the resource capacity information of the corresponding industrial production equipment nodes in the no-load state and the resource capacity information of the edge computational power nodes serving the industrial production equipment nodes;
and integrating the computational power network service resources required to be distributed by a plurality of industrial production equipment nodes in the same service scene in the certain industrial production to obtain the computational power network service resources required to be distributed in each service scene in the certain industrial production.
Specifically, in this embodiment, in order to implement accurate measurement of the computing power network service resources required by the industrial production by the computing power network platform, it is further required to know the existing resource capacity of the enterprise itself and the resource demand in the production state, the resource capacity information and the resource demand information of the industrial production equipment nodes are collected by the edge computing power node, and the resource capacity information of the industrial production equipment nodes and the resource capacity information and the resource demand information of the industrial production equipment nodes are synchronized to the computing power network platform, where the resource capacity information of the industrial production equipment nodes generally refers to the computing power capacity of each industrial production equipment node under the no-load condition, and includes, but is not limited to: the resource demand information of the nodes of the industrial production equipment generally refers to the calculation capacity and the network capacity required by each node of the industrial production equipment under the full load condition, wherein the network capacity comprises but is not limited to parameters such as bandwidth, time delay, jitter and the like; after receiving an initiated computational power network resource service requirement sent by an enterprise node, a computational power network platform determines the enterprise node, an edge computational power node and an industrial production equipment node under the jurisdiction of the enterprise node according to a prefix in identification information, determines the industrial production equipment node and a corresponding edge computational power node which need to be called in the current production according to an industrial production plan, the industrial production plan can directly specify the industrial production equipment node, and also can only give the industrial production equipment node of which the production task is completed by the assistance of the computational power network platform, and obtains resource capacity information and resource demand information of the edge computational power node and the industrial production equipment node, the computational power network platform evaluates the computational power network service resource which needs to be supplemented for the current production according to the measurement, performs charging service on the additionally scheduled computational power network service resource, and establishes computational power network resource allocation models respectively aiming at different business scenes under the consideration of different business scenes in the industrial production process, each computational power network resource allocation model can meet the production requirement of a corresponding business, and simultaneously can divide the requirements of the computational power network resource in a certain business scene to determine a parameter value of the industrial production scene according to the industrial production process flow, and the process parameter value of the industrial production scene of the industrial production.
TABLE 1 computational force network resource Allocation model example
An example of more specifically obtaining the calculation power network resource allocation model is, for example, in the steel production process, after the service scenarios related to production are determined, the identifier and the number of the device nodes that need to be called in each service scenario may be determined according to the production task amount of this time, then the identifier and the number of the edge calculation power nodes that can provide services for the device nodes that need to be called are determined, and then the calculation power resources and the network resources that need to be provided by the calculation power network for this service scenario are calculated, for example, in two service scenarios, that is, it is determined that the calculation power resources allocated in the steel making condition intelligent monitoring analysis and the slab online quality prediction need to be guaranteed: 100TFLOPS to 500TFLOPS, and the distributed network resources need to be ensured to meet the following parameter requirements: downlink rate: >200Mbps, latency: <100ms, reliability: =99.999%, positioning accuracy: 5-10 m, clock synchronization precision: 10-20 us, packet loss rate: <1%; the specific parameter values may change according to different production tasks, and the enterprise identifier in table 1 is used to determine the invokable device node and edge calculation node on one hand and facilitate subsequent billing on the other hand.
And S13, selecting the minimum cost standard meeting the requirement for each calculation network resource distribution model according to a preset calculation network service package charging standard, and completing a corresponding calculation network service contract with the enterprise node.
Specifically, in this embodiment, in order to implement unified management, arrangement, scheduling, operation and maintenance, and optimization of computing power and network resources for an enterprise and meet the purpose of unified provisioning and unified charging of computing network services, a package charging standard is formulated for a computing power network service in advance, a computing power network resource allocation model is formulated for each service scenario of industrial production, a minimum cost standard meeting requirements is selected on the basis of the package charging standard, and a corresponding computing power network service contract is achieved with the enterprise, so as to improve the production efficiency and economic benefit of enterprise users.
Optionally, the selecting, according to a preset computational power network service package charging standard, a minimum cost standard meeting requirements for each computational power network resource allocation model, and making a corresponding computational power network service contract with the enterprise node specifically includes:
confirming whether a first computing network service contract is achieved with the enterprise node in advance;
if yes, according to the calculation network service package charging standard agreed in the first calculation network service contract, selecting the minimum cost standard meeting the requirement for each calculation network resource distribution model, and sending a charging bill comprising the cost of each calculation network resource distribution model to the enterprise node;
if not, selecting the minimum cost standard meeting the requirement for each computational power network resource allocation model according to the preset computational power network service package charging standard, generating a second computational power network service contract of a charging bill comprising the cost of each computational power network resource allocation model, sending the second computational power network service contract to the enterprise node, and receiving the information of signing the second computational power network service contract by the enterprise node.
Optionally, the sending a billing bill including a charge of each computational network resource allocation model to the enterprise node specifically includes:
if the enterprise node is appointed in the first computing network service contract in a prepayment mode, further confirming whether the prepayment of the enterprise node is enough to pay the fee of the charging bill, if so, deducting the corresponding fee from the prepayment and sending the charging bill to the enterprise node, and if not, sending a payment notice to the enterprise node;
and if the enterprise node is appointed in the first computing network service contract to adopt a post-payment mode, sending the charging bill to the enterprise node after the certain industrial production is finished or at appointed time.
Specifically, in this embodiment, the computational network management platform sends the computational power network resource allocation model of the current industrial production to the computational network transaction platform, and the computational network transaction platform verifies the enterprise user according to the enterprise node identification information to obtain whether the enterprise user signs a computational power network service contract with itself in advance, if yes, the current computational power network service is provided according to the signed computational power network service contract, otherwise, the contract of the current service needs to be signed before the service is provided, and the contract includes enterprise information, service cost information, computational power network service resource information, and the like; in order to improve user experience, generating a corresponding charging bill for a user to check each time, recording a charging standard corresponding to each computational power network resource allocation model in the charging bill, and providing transparent charging for each service; at present, the computational power network charging is not in a unified mode, the current network charging mode is referred, and the characteristics of the computational power network service are combined, a computational power network service package charging standard can be formulated, each computational power network resource allocation model pair of a user is marked in a grade corresponding to the computational power network service package charging standard, a specific computational power network service charging package is shown as the following table 2, an example of five-grade charging standards is demonstrated in the table 2, the increase and the decrease can be carried out according to actual conditions, the contents of a payment mode, a charging mode and the like can be appointed in the computational power network service charging package, for example, the payment mode comprises a prepayment mode and a post-payment mode, and the post-payment mode comprises: real-time charging and periodic charging, wherein the real-time charging refers to that after the service is finished, the computational network transaction platform finishes the service charging and sends an invoice to an enterprise, the periodic charging refers to that computational network resource use data are periodically collected and the invoice is periodically sent to the enterprise, the prepayment mode comprises online charging, the computational network management platform monitors the use condition of the computational network service resources of the enterprise according to enterprise resource quota sent by the computational network transaction platform, when the resource quota is about to be exhausted, a resource request application is sent to the enterprise, if the enterprise agrees to apply for new computational network service resources and send a resource proportioning requirement, the computational network management platform calculates a bill to the computational network transaction platform, and the enterprise continues to use the bill according to bill payment; and if the enterprise refuses to apply for the new computing network service resource, and when the account has no balance, the used computing network service resource is suspended.
TABLE 2 exemplary billing criteria for computing power network service packages
And S14, distributing corresponding computing power network service resources for each business scene of the certain industrial production according to the contract and the corresponding computing power network resource distribution model.
Specifically, in this embodiment, after the contract signing transaction is confirmed to be completed, the computational network transaction platform notifies the computational network management platform to provide a computational network service for the current industrial production according to the computational network resource allocation model, and tracks the service resource usage until the transaction time established by the computational network service contract is finished, and the computational network transaction platform notifies the computational network management platform to terminate the service and release the computational network service resource.
The embodiment 1 of the invention provides an industrial production computing power network service charging method, which comprises the steps of establishing a computing power network resource distribution model according to a business scene of industrial production, charging for each computing power network resource distribution model, and saving cost for users while distributing computing power network service resources adaptive to requirements for industrial production enterprise users and ensuring smooth industrial production according to the minimum charging standard meeting industrial production requirements, and is favorable for improving user experience.
Example 2:
as shown in fig. 3, embodiment 2 of the present invention provides a computing power network platform, including:
the system comprises a receiving module 11, a resource allocation module and a resource allocation module, wherein the receiving module is used for receiving a request sent by an enterprise node for allocating computing power network service resources for industrial production of a certain time;
the modeling module 12 is connected with the receiving module 11 and is used for acquiring a plurality of service scenes included in the certain industrial production according to the request and establishing a computing power network resource allocation model under each service scene;
the charging module 13 is connected with the modeling module 12 and used for selecting the minimum cost standard meeting the requirements for each computational power network resource allocation model according to the preset computational power network service package charging standard and achieving a corresponding computational power network service contract with the enterprise node;
and the providing module 14 is connected with the charging module 13 and is used for distributing corresponding computing power network service resources for each business scene of the certain industrial production according to the contract and the corresponding computing power network resource distribution model.
Optionally, the computing power network platform further includes a registration module, specifically configured to:
receiving registration information of industrial production equipment nodes, edge calculation force nodes and enterprise nodes;
and respectively allocating unique identification information to the industrial production equipment nodes, the edge calculation force nodes and the enterprise nodes according to the registration information, wherein the identification information identifies the relationship among the edge calculation force nodes under the jurisdiction of the enterprise nodes, the industrial production equipment nodes and the industrial production equipment nodes served by the edge calculation force nodes.
Optionally, the modeling module 12 specifically includes:
a first determining unit, configured to determine, according to the information of the certain industrial production included in the request, an edge algorithm node and an industrial production device node under the jurisdiction of the enterprise node that need to be called in the certain industrial production;
the second determining unit is used for determining a plurality of service scenes included in the certain industrial production according to the service scenes corresponding to the nodes of the industrial production equipment needing to be called;
and the measurement unit is used for inquiring the resource capacity and the demand information of the edge calculation force node and the industrial production equipment node which need to be called, and measuring the calculation force network service resources which need to be distributed in each service scene so as to establish a calculation force network resource distribution model in each service scene.
Optionally, the receiving module 11 is further specifically configured to:
and receiving self resource capacity information sent by the edge computing power node, and resource capacity information of an industrial production equipment node served by the edge computing power node in an idle state and resource demand information in a full load state.
Optionally, the measurement unit specifically includes:
a third determining unit, configured to determine, according to the information of the certain industrial production, a load state of each industrial production equipment node that needs to be called in the certain industrial production;
a fourth determining unit, configured to determine, according to the load state and in combination with resource demand information of a corresponding industrial production equipment node in a full load state, a resource demand of each industrial production equipment node in the certain industrial production;
a fifth determining unit, configured to determine, according to the resource demand, a computational power network service resource that needs to be allocated to the corresponding industrial production equipment node in the certain industrial production, in combination with resource capability information of the corresponding industrial production equipment node in an idle state and resource capability information of an edge computational power node serving the corresponding industrial production equipment node;
and the comprehensive unit is used for integrating the computational power network service resources needing to be distributed in the certain industrial production by a plurality of industrial production equipment nodes in the same service scene to obtain the computational power network service resources needing to be distributed in each service scene in the certain industrial production.
Optionally, the charging module 13 specifically includes:
a sixth confirming unit, configured to confirm whether a first computing network service contract has been pre-agreed with the enterprise node;
if yes, selecting the minimum cost standard meeting the requirement for each computational power network resource distribution model according to the computational power network service package charging standard appointed in the first computational power network service contract, and sending a charging bill comprising the cost of each computational power network resource distribution model to the enterprise node;
and if not, selecting the minimum cost standard meeting the demand for each computational network resource allocation model according to the preset computational network service package charging standard, generating a second computational network service contract of a charging bill comprising the cost of each computational network resource allocation model, sending the second computational network service contract to the enterprise node, and receiving the information of signing the second computational network service contract by the enterprise node.
Optionally, the first contract unit is further specifically configured to:
if the enterprise node is appointed in the first computing network service contract in a prepayment mode, further confirming whether the prepayment of the enterprise node is enough to pay the fee of the charging bill, if so, deducting the corresponding fee from the prepayment and sending the charging bill to the enterprise node, and if not, sending a payment notice to the enterprise node;
and if the enterprise node is appointed in the first computing network service contract to adopt a post-payment mode, sending the charging bill to the enterprise node after the certain industrial production is finished or at appointed time.
The embodiment 2 of the invention provides a computational power network platform, which is characterized in that computational power network resource allocation models are established according to the service scenes of industrial production, charging is carried out on each computational power network resource allocation model, and according to the minimum charging standard meeting the industrial production requirements, computational power network service resources adaptive to the requirements are allocated to industrial production enterprise users, the industrial production is ensured to be smoothly carried out, meanwhile, the cost is saved for the users, and the user experience is favorably improved.
Example 3:
as shown in fig. 4, embodiment 3 of the present invention provides a computer device, the computer device includes a memory 10 and a processor 20, the memory 10 stores a computer program, and when the processor 20 runs the computer program stored in the memory 10, the processor 20 executes the method for charging for industrial production computing power network service according to embodiment 1.
The memory 10 is connected to the processor 20, the memory 10 may be a flash memory, a read-only memory or other memories, and the processor 20 may be a central processing unit or a single chip microcomputer.
Embodiment 3 of the present invention provides a computer device, where when the computer device runs a corresponding program, a computational power network resource allocation model is established according to a service scenario of industrial production, each computational power network resource allocation model is charged, and according to a minimum charging standard meeting industrial production requirements, computational power network service resources adapted to requirements are allocated to users of industrial production enterprises, so as to ensure that industrial production is smoothly performed, save cost for the users, and facilitate improvement of user experience.
Example 4:
embodiment 4 of the present invention provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the method for charging for an industrial productivity network service according to embodiment 1 is implemented.
The computer-readable storage media includes volatile or nonvolatile, removable or non-removable media implemented in any method or technology for storage of information such as computer-readable instructions, data structures, computer program modules or other data. Computer-readable storage media include, but are not limited to, RAM (Random Access Memory), ROM (Read-Only Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory), flash Memory or other Memory technology, CD-ROM (Compact disk Read-Only Memory), digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by a computer.
Embodiment 4 of the present invention provides a computer-readable storage medium, where after a program in the computer-readable storage medium is run, a device running a corresponding program establishes a computational power network resource allocation model according to a service scenario of industrial production, charges are performed for each computational power network resource allocation model, and according to a minimum charging standard meeting industrial production requirements, when computational power network service resources adapted to requirements are allocated to users of industrial production enterprises, and the smooth performance of industrial production is ensured, costs are saved for the users, and user experience is improved.
It will be understood that the above embodiments are merely exemplary embodiments adopted to illustrate the principles of the present invention, and the present invention is not limited thereto. It will be apparent to those skilled in the art that various modifications and improvements can be made without departing from the spirit and scope of the invention, and such modifications and improvements are also considered to be within the scope of the invention.
Claims (10)
1. An industrial production computing power network service charging method is applied to a computing power network platform and is characterized by comprising the following steps:
receiving a request for distributing computing power network service resources for certain industrial production sent by an enterprise node;
acquiring a plurality of service scenes included in the certain industrial production according to the request, and establishing a computing power network resource allocation model under each service scene;
selecting a minimum cost standard meeting the requirement for each computational network resource allocation model according to a preset computational network service package charging standard, and achieving a corresponding computational network service contract with the enterprise node;
and distributing corresponding computing power network service resources for each business scene of the certain industrial production according to the contract and the corresponding computing power network resource distribution model.
2. The method of claim 1, wherein prior to receiving a request from an enterprise node to allocate resources of a computational network service for an industrial process, the method further comprises:
receiving registration information of industrial production equipment nodes, edge calculation force nodes and enterprise nodes;
and respectively allocating unique identification information to the industrial production equipment node, the edge computational power node and the enterprise node according to the registration information, wherein the identification information identifies the relationship between the edge computational power node and the industrial production equipment node which are administered by the enterprise node and the industrial production equipment node which is served by the edge computational power node.
3. The method according to claim 2, wherein the obtaining a plurality of service scenarios included in the certain industrial production according to the request, and establishing a computational power network resource allocation model under each service scenario specifically comprises:
determining an edge calculation force node and an industrial production equipment node under the jurisdiction of the enterprise node which needs to be called in the certain industrial production according to the information of the certain industrial production included in the request;
determining a plurality of service scenes included in the certain industrial production according to the service scenes corresponding to the nodes of the industrial production equipment needing to be called;
and inquiring the resource capacity and demand information of the edge calculation force node and the industrial production equipment node which need to be called, and measuring the calculation force network service resource which needs to be distributed in each service scene so as to establish a calculation force network resource distribution model in each service scene.
4. The method of claim 3, wherein prior to querying the resource capability and requirement information of the edge force node and the industrial production equipment node that need to be invoked, the method further comprises:
and receiving self resource capacity information sent by the edge computing force node, and resource capacity information of the self-service industrial production equipment node in an idle state and resource demand information in a full load state.
5. The method according to claim 4, wherein the querying of the resource capacity and demand information of the edge computational power node and the industrial production equipment node which need to be called to measure the computational power network service resource which needs to be allocated in each business scenario specifically comprises:
determining the load state of each industrial production equipment node required to be called in the certain industrial production according to the information of the certain industrial production;
determining the resource demand of each industrial production equipment node in the certain industrial production according to the load state and the resource demand information of the corresponding industrial production equipment node in the full load state;
determining the computational power network service resources required to be distributed in the certain industrial production by the corresponding industrial production equipment nodes according to the resource requirements by combining the resource capacity information of the corresponding industrial production equipment nodes in the no-load state and the resource capacity information of the edge computational power nodes serving the industrial production equipment nodes;
and integrating the computational network service resources which need to be distributed by a plurality of industrial production equipment nodes in the same service scene in the certain industrial production to obtain the computational network service resources which need to be distributed in each service scene in the certain industrial production.
6. The method according to any one of claims 1 to 5, wherein the selecting, for each computational network resource allocation model, a minimum cost criterion to meet the demand according to a preset computational network service package billing standard, and entering a corresponding computational network service contract with the enterprise node, specifically comprises:
determining whether a first computational network service contract has been pre-established with the enterprise node;
if yes, according to the computing power network service package charging standard appointed in the first computing power network service contract, selecting the minimum cost standard meeting the requirement for each computing power network resource distribution model, and sending a charging bill comprising the cost of each computing power network resource distribution model to the enterprise node;
if not, selecting the minimum cost standard meeting the requirement for each computational power network resource allocation model according to the preset computational power network service package charging standard, generating a second computational power network service contract of a charging bill comprising the cost of each computational power network resource allocation model, sending the second computational power network service contract to the enterprise node, and receiving the information of signing the second computational power network service contract by the enterprise node.
7. The method of claim 6, wherein sending a billing invoice to the enterprise node that includes the cost for each computational network resource allocation model comprises:
if the enterprise node is appointed in the first computing network service contract in a prepayment mode, further confirming whether the prepayment of the enterprise node is enough to pay the fee of the charging bill, if so, deducting the corresponding fee from the prepayment, and sending the charging bill to the enterprise node, and if not, sending a payment notice to the enterprise node;
and if the enterprise node is appointed in the first computing network service contract to adopt a post-payment mode, sending the charging bill to the enterprise node after the certain industrial production is finished or at appointed time.
8. A computing force network platform, comprising:
the receiving module is used for receiving a request for distributing computing power network service resources for certain industrial production sent by an enterprise node;
the modeling module is connected with the receiving module and used for acquiring a plurality of service scenes included in the certain industrial production according to the request and establishing a computational power network resource allocation model under each service scene;
the charging module is connected with the modeling module and used for selecting the minimum cost standard meeting the requirements for each computational power network resource allocation model according to the preset computational power network service package charging standard and achieving a corresponding computational power network service contract with the enterprise node;
and the distribution module is connected with the charging module and used for distributing corresponding computing power network service resources for each business scene of the certain industrial production according to the contract and the corresponding computing power network resource distribution model.
9. A computer arrangement comprising a memory and a processor, the memory having a computer program stored therein, the processor when executing the computer program stored in the memory performing the industrial productivity computing power network service billing method of any of claims 1-7.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the method for charging an industrial productivity network service according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211457375.1A CN115883268A (en) | 2022-11-21 | 2022-11-21 | Industrial production computing power network service charging method, platform, equipment and medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211457375.1A CN115883268A (en) | 2022-11-21 | 2022-11-21 | Industrial production computing power network service charging method, platform, equipment and medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115883268A true CN115883268A (en) | 2023-03-31 |
Family
ID=85760357
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211457375.1A Pending CN115883268A (en) | 2022-11-21 | 2022-11-21 | Industrial production computing power network service charging method, platform, equipment and medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115883268A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117435349A (en) * | 2023-12-14 | 2024-01-23 | 之江实验室 | Method and device for generating computing power transaction contract and computing power resource management platform |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113157444A (en) * | 2021-03-29 | 2021-07-23 | 中国联合网络通信集团有限公司 | Computing power service authentication method, device and readable storage medium |
| CN113448721A (en) * | 2020-03-27 | 2021-09-28 | 中国移动通信有限公司研究院 | Network system for computing power processing and computing power processing method |
-
2022
- 2022-11-21 CN CN202211457375.1A patent/CN115883268A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113448721A (en) * | 2020-03-27 | 2021-09-28 | 中国移动通信有限公司研究院 | Network system for computing power processing and computing power processing method |
| CN113157444A (en) * | 2021-03-29 | 2021-07-23 | 中国联合网络通信集团有限公司 | Computing power service authentication method, device and readable storage medium |
Non-Patent Citations (1)
| Title |
|---|
| 雷波;: "整合多方资源 算力网络有望实现计算资源利用率最优", 通信世界, no. 08, 25 March 2020 (2020-03-25), pages 41 - 42 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117435349A (en) * | 2023-12-14 | 2024-01-23 | 之江实验室 | Method and device for generating computing power transaction contract and computing power resource management platform |
| CN117435349B (en) * | 2023-12-14 | 2024-04-30 | 之江实验室 | Method and device for generating computing power transaction contract and computing power resource management platform |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP3512233A1 (en) | Method for managing network slice and management unit | |
| CN113448721A (en) | Network system for computing power processing and computing power processing method | |
| WO2020177497A1 (en) | Method and system for performing charging processing on network slice client, and related device | |
| CN109041130B (en) | Resource allocation method based on mobile edge calculation | |
| EP3905589A1 (en) | Slice resource deployment method and apparatus, and slice manager and computer storage medium | |
| CN105912397A (en) | Resources management method and device | |
| WO2019024445A1 (en) | Collaborative optimization method for geographic distribution interactive service cloud resource | |
| CN106027596A (en) | Task distributing method and device | |
| CN112465615B (en) | Method, device and system for processing bill data | |
| CN115883268A (en) | Industrial production computing power network service charging method, platform, equipment and medium | |
| CN107040387B (en) | Online charging engine, real-time accounting engine, and online charging method and system | |
| WO2016095524A1 (en) | Resource allocation method and apparatus | |
| CN102868770A (en) | Method, equipment and system for distributing interface | |
| CN110740430A (en) | Resource charging method and system, AF (automatic frequency control) and policy and charging function entity | |
| CN115865930A (en) | MEC dynamic adjustment method based on 5G power Internet of things | |
| CN100365983C (en) | Method for realizing packet data prepayment service | |
| CN108282526A (en) | Server dynamic allocation method and system between double clusters | |
| CN105791247B (en) | A kind of flow system pair service implementation method and relevant device and system | |
| CN114077497A (en) | Cloud edge collaborative edge application deployment method | |
| US20070124254A1 (en) | Online charging in a communications network | |
| CN109803451A (en) | A kind of conversation establishing method and device | |
| CN115719189A (en) | Material management method, platform, medium and system | |
| CN100568901C (en) | Be used to visit the method and apparatus of the credit management of communication network | |
| CN115225500A (en) | Network slice allocation method and device | |
| CN112738743A (en) | Business service, real-time charging method, device, edge server and charging system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |