CN117194043A - Production service processing method, equipment and storage medium based on computing power service system - Google Patents
Production service processing method, equipment and storage medium based on computing power service system Download PDFInfo
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Abstract
The application provides a production service processing method, equipment and storage medium based on a computing power service system. The system comprises: the method comprises the following steps of producing equipment modules, a calculation priority network module, a network management module and a production content module, wherein the method comprises the following steps: acquiring a production service request based on the production content module, determining service information, and determining a production plan based on the service information; acquiring equipment information based on the production equipment module, and determining a first corresponding relation of the nodes based on the equipment information and the production plan; acquiring computing power resource information based on the computing priority network module, determining a computing power task, and determining a second corresponding relation of the nodes based on the computing power task and the computing power resource information; and determining nodes and network links corresponding to the first corresponding relation and the second corresponding relation based on the network management module, determining intelligent contracts of the nodes and the network links, and executing production service requests based on the intelligent contracts. The method of the application realizes the technical effect of improving the expansibility and the stability of the power-calculating service mode.
Description
Technical Field
The present application relates to the field of the internet, and in particular, to a method, an apparatus, and a storage medium for processing a production service based on a computing service system.
Background
With the development of the industrial internet, the advanced integration of digital technology and traditional industrial production, the personalized and specialized computing demands of services represented by artificial intelligence are increased, and the development and optimization of the computing mode become an important direction of development.
In the existing computing power service technology, discrete computing power is connected through a communication network based on a computing power network, and computing power resources are uniformly perceived, organized and distributed.
In the prior art, the computing power service of the industrial Internet only depends on a cloud platform, a telecommunication platform or an enterprise internal platform, so that the requirements of all elements on the computing power service cannot be met; the power service type is complex, innovation and economy are promoted to generate a large number of novel service modes, the novel power service mode is supported, a special power service network is needed for the novel power service mode, and the traditional power service network cannot meet the application requirements of the industry; the service fusion in the industrial Internet enables the service to be in a distributed form, the number and the form of the computing service are increased, and the traditional centralized management and transaction mode has a bottleneck to restrict the development of the computing service; therefore, in the existing power service technology, the technical problems of low expansibility and low stability of the power service mode exist.
Disclosure of Invention
The application provides a production service processing method, equipment and a storage medium based on a power service system for processing production service based on the power service system, which are used for solving the technical problems of low expansibility and low stability of a power service mode.
In a first aspect, the present application provides a production service processing method based on a computing power service system, where the computing power service system includes a production device module, a computing priority network module, a network management module, and a production content module, and the method includes:
responding to the production service request, acquiring a production service request of a content service node in the production content module, acquiring service information based on the production service request, and determining a production plan based on the service information;
acquiring equipment information of production equipment nodes in a production equipment module, and determining a first corresponding relation between a content service node and the production equipment nodes based on the equipment information and a production plan;
acquiring computing power resource information of a computing power service node in a computing priority network module, determining a computing power task based on a production equipment node and a production plan, and determining a second corresponding relation between the production equipment node and the computing power service node based on the computing power task and the computing power resource information;
And determining network links among the content service node, the production equipment node and the computing power service node corresponding to the first corresponding relation and the second corresponding relation based on the network management module, determining intelligent contracts of the nodes and the network links based on the production content module, and executing production service requests based on the intelligent contracts.
Optionally, the production content module further includes a search service node that determines a production plan based on the service information, including:
based on the content production module, acquiring content service information of the content service node, and newly adding the content service information to a first registration list of the search service node;
determining whether a content service node with an association relationship with the content service node exists or not based on the first registration list, and if so, determining the content service node as the association content service node;
and determining a production plan corresponding to the service information based on the content service node and/or the associated content service node.
Optionally, determining the first correspondence of the content service node and the production facility node based on the facility information and the production plan includes:
synchronizing equipment information of the production equipment nodes to a preset platform based on the production equipment module;
acquiring equipment information of a preset platform based on a production equipment module, matching a production plan with production equipment nodes, and determining an equipment use plan of the production equipment nodes based on the equipment information and the production plan;
Scheduling based on the equipment use plan and the production plan, and determining an application result of the production plan applied to the production equipment node;
and determining a production equipment node corresponding to the application result which accords with the preset rule based on the application result, and determining a first corresponding relation between the production equipment node and a content service node corresponding to the production plan.
Optionally, the computing priority network module further includes a routing node and a computing power service searching node, and acquiring computing power resource information of the computing power service node in the computing priority network module includes:
and acquiring the computing power resource information of the computing power service node based on the computing priority network module, and adding the computing power resource information to a second registration list of the routing node.
Optionally, determining the second correspondence of the production facility node and the computing power service node based on the computing power task and the computing power resource information includes:
transmitting the computing power task corresponding to the production equipment node to a computing power service searching node based on a computing priority network module, and determining the computing power service node conforming to the computing power task characteristic as a computing power service node list; determining a node evaluation list corresponding to the power service node list based on the power service node list and the power calculation task;
And determining a second corresponding relation between the production equipment node and the computing power service node based on the computing power service node list and the node evaluation list.
Optionally, determining the computing power service node according with the computing power task feature as a computing power service node list includes:
determining search features and/or calculation service features corresponding to the calculation task based on the calculation task;
and determining the power calculation service information conforming to the search feature and/or the power calculation service feature based on the power calculation service information in the second registration list of the routing node and a preset algorithm, and determining a power calculation service node list based on the power calculation service information.
Optionally, determining, based on the production content module, a smart contract for the node and the network link, performing a production service request based on the smart contract, comprising:
determining an intelligent contract based on the network link, the content service node, the production equipment node, the computing power service node, the first corresponding relationship and the second corresponding relationship;
executing a production plan based on an intelligent contract in combination with a production equipment node, executing a calculation task based on a calculation service node, acquiring a first execution result of the calculation task based on the production equipment node, and acquiring a second execution result of the production plan based on a content service node;
And determining an execution result of the production service request based on the first execution result and the second execution result, and writing the execution result into a preset blockchain network.
Optionally, determining the smart contract based on the network link, the content service node, the production facility node, the computing power service node, and the first and second correspondences includes:
authenticating the computing power service node, the production equipment node and the content service node based on a preset blockchain network and a preset communication network, and judging whether the authentication is passed or not;
if yes, determining that the node acquires the pass, and determining an intelligent contract based on the node and the network link.
In a second aspect, the present application provides a production service processing apparatus based on a computing power service system,
the computing power service system comprises a production equipment module, a computing priority network module, a network management module and a production content module, and comprises:
the acquisition module is used for responding to the production service request, acquiring the production service request of the content service node in the production content module, acquiring service information based on the production service request and determining a production plan based on the service information;
the first processing module is used for acquiring equipment information of the production equipment nodes in the production equipment module and determining a first corresponding relation between the content service nodes and the production equipment nodes based on the equipment information and the production plan;
The second processing module is used for acquiring the calculation power resource information of the calculation power service node in the calculation priority network module, determining a calculation power task based on the production equipment node and the production plan, and determining a second corresponding relation between the production equipment node and the calculation power service node based on the calculation power task and the calculation power resource information;
and the determining module is used for determining a network link among the content service node, the production equipment node and the computing power service node corresponding to the first corresponding relation and the second corresponding relation based on the network management module, determining intelligent contracts of the nodes and the network link based on the production content module, and executing production service requests based on the intelligent contracts.
Optionally, the device is further configured to:
based on the content production module, acquiring content service information of the content service node, and newly adding the content service information to a first registration list of the search service node;
determining whether a content service node with an association relationship with the content service node exists or not based on the first registration list, and if so, determining the content service node as the association content service node;
and determining a production plan corresponding to the service information based on the content service node and/or the associated content service node.
Optionally, the device is further configured to:
Synchronizing equipment information of the production equipment nodes to a preset platform based on the production equipment module;
acquiring equipment information of a preset platform based on a production equipment module, matching a production plan with production equipment nodes, and determining an equipment use plan of the production equipment nodes based on the equipment information and the production plan;
scheduling based on the equipment use plan and the production plan, and determining an application result of the production plan applied to the production equipment node;
and determining a production equipment node corresponding to the application result which accords with the preset rule based on the application result, and determining a first corresponding relation between the production equipment node and a content service node corresponding to the production plan.
Optionally, the device is further configured to:
and acquiring the computing power resource information of the computing power service node based on the computing priority network module, and adding the computing power resource information to a second registration list of the routing node.
Optionally, the device is further configured to:
transmitting the computing power task corresponding to the production equipment node to a computing power service searching node based on a computing priority network module, and determining the computing power service node conforming to the computing power task characteristic as a computing power service node list; determining a node evaluation list corresponding to the power service node list based on the power service node list and the power calculation task;
And determining a second corresponding relation between the production equipment node and the computing power service node based on the computing power service node list and the node evaluation list.
Optionally, the device is further configured to:
determining search features and/or calculation service features corresponding to the calculation task based on the calculation task;
and determining the power calculation service information conforming to the search feature and/or the power calculation service feature based on the power calculation service information in the second registration list of the routing node and a preset algorithm, and determining a power calculation service node list based on the power calculation service information.
Optionally, the device is further configured to:
determining an intelligent contract based on the network link, the content service node, the production equipment node, the computing power service node, the first corresponding relationship and the second corresponding relationship;
executing a production plan based on an intelligent contract in combination with a production equipment node, executing a calculation task based on a calculation service node, acquiring a first execution result of the calculation task based on the production equipment node, and acquiring a second execution result of the production plan based on a content service node;
and determining an execution result of the production service request based on the first execution result and the second execution result, and writing the execution result into a preset blockchain network.
Optionally, the device is further configured to:
Authenticating the computing power service node, the production equipment node and the content service node based on a preset blockchain network and a preset communication network, and judging whether the authentication is passed or not;
if yes, determining that the node acquires the pass, and determining an intelligent contract based on the node and the network link.
In a third aspect of the present application, there is provided a production service processing apparatus based on a computing power service system, comprising:
a processor and a memory;
the memory stores computer-executable instructions;
the processor executes the computer-executable instructions stored in the memory to cause the computing power service system-based production service processing device to perform the computing power service system-based production service processing method of any one of the first aspects.
In a fourth aspect, the present application provides a computer-readable storage medium having stored therein computer-executable instructions which, when executed by a processor, are adapted to carry out the method for processing a production service based on a computing power service system according to any one of the first aspects.
The application provides a production service processing method, equipment and a storage medium based on a computing power service system. The computing power service system comprises a production equipment module, a computing priority network module, a network management module and a production content module, and the method comprises the following steps: responding to the production service request, acquiring a production service request of a content service node in the production content module, acquiring service information based on the production service request, and determining a production plan based on the service information; acquiring equipment information of production equipment nodes in a production equipment module, and determining a first corresponding relation between a content service node and the production equipment nodes based on the equipment information and a production plan; acquiring computing power resource information of a computing power service node in a computing priority network module, determining a computing power task based on a production equipment node and a production plan, and determining a second corresponding relation between the production equipment node and the computing power service node based on the computing power task and the computing power resource information; and determining network links among the content service node, the production equipment node and the computing power service node corresponding to the first corresponding relation and the second corresponding relation based on the network management module, determining intelligent contracts of the nodes and the network links based on the production content module, and executing production service requests based on the intelligent contracts. The method comprises the steps of matching content service nodes through service information, realizing mutual matching of the content service nodes, determining a production plan based on the content service nodes, matching the content service nodes and production equipment nodes based on the production plan, determining a first corresponding relation between the content service nodes and the production equipment nodes through evaluation of the production equipment application production plan, thereby realizing efficient utilization of the production equipment, determining calculation force services required by the production equipment application production plan and calculation force tasks required to be executed correspondingly based on the production equipment and the production plan, performing multi-to-multi matching through the calculation force tasks and the calculation force service nodes, determining a second corresponding relation between the calculation force service nodes and the production equipment nodes, determining a corresponding relation between the content service nodes, the production equipment nodes and the calculation force service nodes based on the corresponding relation, determining network links for communication between the nodes based on the nodes, and realizing intelligent contract determination between the nodes based on a block chain network and a communication network and realizing transaction between the nodes based on intelligent contract; through the application of the point-to-point network, the point-to-point and many-to-many communication among the nodes is realized, the high-efficiency communication is realized based on the sharing of information, and the utilization rate of various resources is improved; thereby realizing the technical effect of improving the expansibility and the stability of the power-computing service mode.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.
FIG. 1 is a flowchart of a method for processing a production service based on a computing power service system according to an embodiment of the present application;
FIG. 2 is a second flowchart of a method for processing a production service based on a computing power service system according to an embodiment of the present application;
FIG. 3 is a schematic diagram of a computing power service system according to an embodiment of the present application;
FIG. 4 is a schematic structural diagram of a production service processing device based on a computing power service system according to an embodiment of the present application;
fig. 5 is a hardware structure diagram of a production service processing device based on a computing power service system according to an embodiment of the present application.
Specific embodiments of the present application have been shown by way of the above drawings and will be described in more detail below. The drawings and the written description are not intended to limit the scope of the inventive concepts in any way, but rather to illustrate the inventive concepts to those skilled in the art by reference to the specific embodiments.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the application. Rather, they are merely examples of apparatus and methods consistent with aspects of the application as detailed in the accompanying claims.
First, the terms involved in the present application will be explained:
multi-access edge computation (Multi-accessEdgeComputing, MEC): the cloud service node is a cloud service node running at the edge of a telecommunication network, and provides a service environment with ultra-low time delay and high bandwidth and capable of acquiring wireless network information in real time.
In the existing computing power service technology, discrete computing power is connected through a communication network based on a computing power network, and computing power resources are uniformly perceived, organized and distributed. In the prior art, the computing power service of the industrial Internet only depends on a cloud platform, a telecommunication platform or an enterprise internal platform, so that the requirements of all elements on the computing power service cannot be met; the power service type is complex, innovation and economy are promoted to generate a large number of novel service modes, the novel power service mode is supported, a special power service network is needed for the novel power service mode, and the traditional power service network cannot meet the application requirements of the industry; the service fusion in the industrial Internet enables the service to be in a distributed form, the number and the form of the computing service are increased, and the traditional centralized management and transaction mode has a bottleneck to restrict the development of the computing service; therefore, in the existing power service technology, the technical problems of low expansibility and low stability of the power service mode exist.
The application provides a production service processing method, equipment and a storage medium based on a computing power service system. The computing power service system comprises a production equipment module, a computing priority network module, a network management module and a production content module, and the method comprises the following steps: responding to the production service request, acquiring a production service request of a content service node in the production content module, acquiring service information based on the production service request, and determining a production plan based on the service information; acquiring equipment information of production equipment nodes in a production equipment module, and determining a first corresponding relation between a content service node and the production equipment nodes based on the equipment information and a production plan; acquiring computing power resource information of a computing power service node in a computing priority network module, determining a computing power task based on a production equipment node and a production plan, and determining a second corresponding relation between the production equipment node and the computing power service node based on the computing power task and the computing power resource information; and determining network links among the content service node, the production equipment node and the computing power service node corresponding to the first corresponding relation and the second corresponding relation based on the network management module, determining intelligent contracts of the nodes and the network links based on the production content module, and executing production service requests based on the intelligent contracts. The method comprises the steps of matching content service nodes through service information, realizing mutual matching of the content service nodes, determining a production plan based on the content service nodes, matching the content service nodes and production equipment nodes based on the production plan, determining a first corresponding relation between the content service nodes and the production equipment nodes through evaluation of the production equipment application production plan, thereby realizing efficient utilization of the production equipment, determining calculation force services required by the production equipment application production plan and calculation force tasks required to be executed correspondingly based on the production equipment and the production plan, performing multi-to-multi matching through the calculation force tasks and the calculation force service nodes, determining a second corresponding relation between the calculation force service nodes and the production equipment nodes, determining a corresponding relation between the content service nodes, the production equipment nodes and the calculation force service nodes based on the corresponding relation, determining network links for communication between the nodes based on the nodes, and realizing intelligent contract determination between the nodes based on a block chain network and a communication network and realizing transaction between the nodes based on intelligent contract; through the application of the point-to-point network, the point-to-point and many-to-many communication among the nodes is realized, the high-efficiency communication is realized based on the sharing of information, and the utilization rate of various resources is improved; therefore, the technical problems of low expansibility and low stability of the power-computing service mode are solved. The following describes the technical scheme of the present application and how the technical scheme of the present application solves the above technical problems in detail with specific embodiments.
The following embodiments may be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.
Fig. 1 is a flowchart of a production service processing method based on a computing power service system according to an embodiment of the present application. As shown in fig. 1, the computing power service system includes a production facility module, a computation priority network module, a network management module, and a production content module, and the method includes:
s101, responding to a production service request, acquiring a production service request of a content service node in a production content module, acquiring service information based on the production service request, and determining a production plan based on the service information;
in this embodiment, the content service node is configured to provide an algorithm and application software, and an instance corresponding to the content service node is run in the computing service node.
S102, acquiring equipment information of production equipment nodes in a production equipment module, and determining a first corresponding relation between a content service node and the production equipment nodes based on the equipment information and a production plan;
in this embodiment, the production equipment node is an equipment provider in the industrial internet, and the equipment information includes: equipment category, equipment model, equipment parameters, production capacity, equipment location, production phase, idle phase, and equipment attribution.
S103, acquiring computing power resource information of a computing power service node in a computing priority network module, determining a computing power task based on the production equipment node and a production plan, and determining a second corresponding relation between the production equipment node and the computing power service node based on the computing power task and the computing power resource information;
in this embodiment, the second correspondence is a correspondence between a computing power service node and a production equipment node, and computing resources required by the operation of the production equipment and the production equipment are separated, by determining a production task of the production equipment and uploading the production task to a computing power network, screening computing power resource information by features of the production task, and determining the computing power service node corresponding to the production task based on the computing power resource information determined after screening, thereby determining the second correspondence between the production equipment node and the computing power service node.
S104, determining network links among the content service node, the production equipment node and the computing power service node corresponding to the first corresponding relation and the second corresponding relation based on the network management module, determining intelligent contracts of the nodes and the network links based on the production content module, and executing production service requests based on the intelligent contracts.
In this embodiment, the network management module is configured to determine a network link between nodes, including: a network that determines latency, a deterministic network (DeterministicNetworking, detNet), and a 5G high quality wireless link.
The application provides a production service processing method based on a computing power service system. The computing power service system comprises a production equipment module, a computing priority network module, a network management module and a production content module, and the method comprises the following steps: responding to the production service request, acquiring a production service request of a content service node in the production content module, acquiring service information based on the production service request, and determining a production plan based on the service information; acquiring equipment information of production equipment nodes in a production equipment module, and determining a first corresponding relation between a content service node and the production equipment nodes based on the equipment information and a production plan; acquiring computing power resource information of a computing power service node in a computing priority network module, determining a computing power task based on a production equipment node and a production plan, and determining a second corresponding relation between the production equipment node and the computing power service node based on the computing power task and the computing power resource information; and determining network links among the content service node, the production equipment node and the computing power service node corresponding to the first corresponding relation and the second corresponding relation based on the network management module, determining intelligent contracts of the nodes and the network links based on the production content module, and executing production service requests based on the intelligent contracts. The method comprises the steps of matching content service nodes through service information, realizing mutual matching of the content service nodes, determining a production plan based on the content service nodes, matching the content service nodes and production equipment nodes based on the production plan, determining a first corresponding relation between the content service nodes and the production equipment nodes through evaluation of the production equipment application production plan, thereby realizing efficient utilization of the production equipment, determining calculation force services required by the production equipment application production plan and calculation force tasks required to be executed correspondingly based on the production equipment and the production plan, performing multi-to-multi matching through the calculation force tasks and the calculation force service nodes, determining a second corresponding relation between the calculation force service nodes and the production equipment nodes, determining a corresponding relation between the content service nodes, the production equipment nodes and the calculation force service nodes based on the corresponding relation, determining network links for communication between the nodes based on the nodes, and realizing intelligent contract determination between the nodes based on a block chain network and a communication network and realizing transaction between the nodes based on intelligent contract; through the application of the point-to-point network, the point-to-point and many-to-many communication among the nodes is realized, the high-efficiency communication is realized based on the sharing of information, and the utilization rate of various resources is improved; therefore, the technical problems of low expansibility and low stability of the power-computing service mode are solved.
Fig. 2 is a flowchart of a production service processing method based on a computing power service system according to an embodiment of the present application. As shown in fig. 2, the method includes:
s201, responding to a production service request, acquiring a production service request of a content service node in a production content module, and acquiring service information based on the production service request;
in this embodiment, the content service node and other content service nodes, production facility nodes, and computing power service nodes are many-to-many relationships.
S202, based on a production content module, acquiring content service information of a content service node, and newly adding the content service information to a first registration list of a search service node; determining whether a content service node with an association relation exists in the content service nodes or not based on the first registration list, if so, determining the content service node as the associated content service node; determining a production plan corresponding to the service information based on the content service node and/or the associated content service node;
in this embodiment, the content service node stores content service information in a first registration list of the search service node through registration, and the search service node determines whether other content service nodes having an association relationship with the content service node exist by querying and screening in the first registration list, if so, determines a production plan according to a plurality of content service nodes, and if not, determines a production plan based on the currently queried content service node; in a first example, a first application corresponding to a first content service node and a second application corresponding to a second content service node have an association relationship, and a corresponding production plan is determined based on the combination service information of the first application and the second application.
S203, acquiring equipment information of production equipment nodes in the production equipment module; synchronizing equipment information of the production equipment nodes to a preset platform based on the production equipment module; acquiring equipment information of a preset platform based on a production equipment module, matching a production plan with production equipment nodes, and determining an equipment use plan of the production equipment nodes based on the equipment information and the production plan;
in this embodiment, the preset platform is an equipment information publishing platform of the industrial internet, and the production equipment node broadcasts the equipment information through the equipment information publishing platform, so that other nodes in the network can receive the equipment information of the production equipment node.
S204, arranging based on the equipment use plan and the production plan, and determining an application result of the production plan applied to the production equipment node; determining a production equipment node corresponding to an application result conforming to a preset rule based on the application result, and determining a first corresponding relation between the production equipment node and a content service node corresponding to a production plan;
in this embodiment, the preset rule is to obtain an application cost of the production device and an utilization efficiency of the production device based on an application result, and select the production device based on two targets of low cost and high efficiency, so as to determine a production device node corresponding to the production plan, and determine a first corresponding relationship between the content service node and the production device node.
S205, acquiring computing power resource information of a computing power service node based on a computing priority network module, and adding the computing power resource information to a second registration list of the routing node;
in this embodiment, after the power service node is registered to the routing node, the information of the second registry includes the service identifier, the service IP address, and the power resource information corresponding to the power service node, and the routing node synchronizes the power service information registered in the node to other routing nodes and to the second registry, that is, the second registry contains the information of all the power service nodes already registered in the power network.
S206, determining a calculation task based on the production equipment nodes and the production plan; transmitting a computing power task corresponding to the production equipment node to a computing power service searching node based on the computing priority network module;
s207, determining search features and/or computing power service features corresponding to the computing power task based on the computing power task; determining computing power service information conforming to the search feature and/or the computing power service feature based on computing power service information in a second registration list of the routing node and a preset algorithm, and determining a computing power service node list based on the computing power service information;
In this embodiment, the power computing service searching node searches the information of the power computing service nodes synchronously registered from the routing node, and searches Fu Gesuan power computing service nodes with power computing task characteristics according to the power computing task characteristics; in this embodiment, the preset algorithm is a classification algorithm generated based on historical data and machine learning, a classification model is obtained by training historical matching data of the power calculation tasks, the power calculation task features to be searched are input into the generated model, and the power calculation service nodes or the features of the power calculation service nodes corresponding to the power calculation tasks are predicted according to the result generated by the model, so that a power calculation service node list of the Fu Gesuan power tasks is determined.
S208, determining a node evaluation list corresponding to the power calculation service node list based on the power calculation service node list and the power calculation task; determining a second corresponding relationship between the production equipment node and the computing power service node based on the computing power service node list and the node evaluation list;
in this embodiment, the node evaluation list is used to evaluate the time cost and the cost required for executing the power calculation task on the power calculation resource corresponding to the power calculation service node, and the stability and reliability of the power calculation resource, determine the evaluation result, determine the power calculation service node of the power calculation task Fu Gesuan based on the evaluation result, and determine the hiccup second correspondence between the production equipment node and the power calculation service node.
S209, determining network links among the content service node, the production equipment node and the computing power service node corresponding to the first corresponding relation and the second corresponding relation based on the network management module;
s210, authenticating the computing power service node, the production equipment node and the content service node based on a preset blockchain network and a preset communication network, and judging whether the authentication is passed or not; if yes, determining that the node acquires the pass, and determining an intelligent contract based on the node and the network link;
in this embodiment, communications between nodes are performed through network links, transactions between nodes are performed through a 5G network and a blockchain network, the nodes need to be authenticated before performing transactions, passes through authentication and borrows can obtain passes, and the nodes with passes can perform transactions together with intelligent contracts.
S211, executing a production plan based on an intelligent contract in combination with a production equipment node, executing a calculation task based on a calculation service node, acquiring a first execution result of the calculation task based on the production equipment node, and acquiring a second execution result of the production plan based on a content service node; and determining an execution result of the production service request based on the first execution result and the second execution result, and writing the execution result into a preset blockchain network.
In this embodiment, after the transaction between the nodes is completed, the result of the transaction between the nodes needs to be synchronously updated to other nodes in the blockchain network, and the state information of the nodes after the transaction is completed is synchronously updated.
Through executing S201 to S211, the multi-to-multi information communication among the plurality of nodes is realized by using the computing power service system, and the matching among the nodes is realized based on the production service information, the production plan information and the production task information, so that the arrangement and the execution of the production service are realized, and the technical effect of efficiently utilizing the computing power resource is realized.
Fig. 3 is a schematic diagram of an architecture of a computing power service system according to an embodiment of the present application. As shown in fig. 3, the architecture of the computing power service system includes four levels: a content layer, a network layer, a computation priority network layer, and a production device layer.
In this embodiment, the services provided by the content layer include: customer order, product design, production planning, production scheduling, equipment control, equipment maintenance, product warehousing, and product transportation; the services provided by the network layer include: metropolitan area network access, deterministic network access, wireless network access, user authentication, cloud platform services, and MEC architecture services; the computing wired network layer includes: edge nodes, center nodes and common computing power network nodes; the production equipment layer comprises: various production equipment nodes and corresponding production lines.
The content layer is realized based on a P2P network, and the realization method of the content layer comprises the following steps:
s11, registering the content service node: the content service node accesses the network in a fixed or mobile terminal mode, registers to the P2P search service node through authentication and authentication of 5GC, submits the network address of the production content service node, the production service content and the additional attribute;
in this embodiment, the content service node provides an algorithm and application software, and the instance runs in the computing service node deployed by the MEC of each level, and the terminal accesses the distributed computing service node through the computing application; the additional attributes may provide a specific model of service device for the device control service.
S12, P2P searches for service nodes: the P2P search service nodes are deployed on an industrial Internet service platform in the MEC, and after the content service nodes are registered to the search service nodes, the MECs of different levels are connected through links to form distributed data storage to provide content data retrieval of all the content service nodes;
s13, searching the content service node: the content service node searches the information of the related content service node which can provide service for the node through the search service node;
s14, content service node matching: after the content service nodes search for the nodes which can serve each other, the content service nodes are matched manually or by adopting an automatic matching algorithm of the nodes to confirm the content service;
S15, applying for computing force resources and links: according to the position of the service object and the service requirement determined by the content service node, applying for a deterministic link or a common link to the network layer, meeting the service requirement, and returning a link allocation confirmation message to the corresponding application node after completing the routing and configuration of the link; meanwhile, applying for the computing power resources required by the content service from the computing power service node, and returning a confirmation message back to the corresponding application node after the computing power service node finishes the distribution of the computing power resources;
s16, service contract: after service content, computing resources and link application among the content service nodes are completed, automatically triggering intelligent contracts of the blockchain, completing service and the agreements of the needed computing resources and link resources, and writing contract content into the blockchain;
s17, service implementation and delivery: after the service execution in the contract is completed, the execution result and related data are automatically written into the blockchain, and the automatic delivery of the expense is completed through the intelligent contract of the blockchain.
The realization method of the network layer comprises the following steps:
s21, various network links are provided for the P2P node: determining a delayed metropolitan area network (MetroFabric), wherein the MetroFabric changes a multi-level convergence architecture of the metropolitan area network, constructs a flattened network directly through one hop of a scene such as a service platform accessed by a user, a nearby computing service and the like, reduces network congestion points by reducing hop count, and provides deterministic network delay capability of less than 1ms of node access to a destination node; detNet, detNet utilize network resource to construct predictable, designable, verifiable private network with definite ability; the 5G high-quality wireless link provides high-quality wireless broadband access based on the 5G network, and meets the continuous requirements of various index types;
S22, deploying architecture of P2P node computing power service based on MEC and cloud platform: the computing power service is deployed in the MEC, so that the separation of the content and the computing power of the P2P network node can be realized, and the direct exchange of the information between the nodes can be better realized through the MEC network; the computing priority network can realize real-time instantiation of the computing power service at different distances from the node according to the service requirement of the P2P node based on (ComputeFirs tNetworking, CFN), so that the computing power service required by the node is deployed at a proper position;
s23, realizing a user authentication method based on block chains and 5G: the security platform of the industrial Internet is deployed in the MEC of 5G, and based on the authentication and authentication system of the user real-name system of operators and the 5G network, the user security authentication based on the 5G core network (5 GCoreNet 5 GC) is realized through the communication technology (CT-ValueAddedService, CT-VAS) in the edge value added service (ValueAddedService, ME-VAS) of the MEC;
in this embodiment, the CT-VAS is connected to the interface of the network opening function (NetworkExposureFunction, NEF) of the 5GC through the programmable interface of the MEC, and authentication of the access user is completed through the access and mobility management function (AccessandMobilityManagementFunction, AMF) of the 5GC and the authentication server function (AuthenticationServerFunction, AUSF) network element.
And S24, after the authentication of the 5GC passes, returning to a security platform in the MEC, and then issuing a pass Token by the security platform according to the authentication result, wherein all P2P nodes use the pass Token to record and trade the use of the computing resources in the blockchain.
The implementation method of the CFN based on the P2P mode comprises the following steps:
s31, registering a computing service: the CFN control surface completes the registration of calculation information and the synchronization of the whole network; the power computing service node registers information of power computing service to a local registry of the CFN router, wherein the local registry comprises a service identifier (serviceID), a service IP address and power computing service information; the CFN router diffuses the change of the local registry to other CFN routers by using a CFN routing protocol, so that the CFN routers of the whole network realize synchronization of the computing service information;
s32, searching the computing power service: the power computing service searching service node synchronizes power computing service data of the whole network from the CFN routing nodes nearby, a power computing service user submits searching conditions to the power computing service searching service node, or an automatic sensing mode is adopted, the power computing service user sends power computing service feature requirements of a power computing task to the power computing service searching service node, and task characteristics are set in advance or generated based on historical data and machine learning. The power computing service searching service node obtains screened power computing service information based on a centralized searching algorithm, and additionally generates a power computing task execution evaluation result to be sent to a power computing service user, and the power computing service user selects a proper power computing service node from the screened power computing service;
S33, CFN routing: after the computing power service using node determines the computing power service node, submitting the CFN request route. The CFN data surface completes the routing and forwarding of the service user to the service node ServiceID request. After the CFN entry (entry) node receives the request, selecting a service node and an associated CFN exit (entry) node, encapsulating and transmitting the original request data packet;
and S34, after receiving the data packet, the CFNEgress node searches a network address corresponding to the computing service according to the ServiceID, encapsulates the data, sends the data to the computing service, executes the computing task, and returns the result to a user of the computing service.
The realization method of the production equipment layer based on the P2P mode comprises the following steps:
s41, device information release: the method comprises the steps that an industrial Internet deploys a centralized equipment information release platform, each equipment provider serves as a production equipment node to send equipment information to the equipment information release platform through a P2P protocol, and the equipment information release platform is managed through a P2P route, so that related service nodes of the whole network can obtain summarized similar equipment information;
in this embodiment, the device information includes: equipment category, equipment model, equipment parameters, production capacity, equipment location, production and idle periods, and equipment attribution.
S42, production planning service: the platform nodes of the industrial Internet are utilized to deploy centralized equipment and production plan matching tasks, the industrial Internet only provides a production plan intermediation service platform, and the production equipment nodes and the production plan nodes are freely selected and matched; the industrial internet platform issues equipment information and production task information, each production planning node makes respective production plans according to an algorithm of the node, then main realization indexes of the production plans are sent to each equipment node, the equipment node is selected, after the equipment node selects the production plan which accords with expectations and finishes delivery, detailed information of the production plans is obtained, the equipment node adjusts equipment idle periods, and the idle periods of the equipment node in all equipment similar equipment are changed again by adopting a P2P protocol;
in this embodiment, the implementation indexes include production cycle, cost, and quality evaluation.
S43, production task arrangement: the production task arrangement service node flexibly arranges production tasks of equipment with different sources according to the blank period of the equipment and the requirements of the production plan according to the production plan and the equipment use plan provided by the production plan node, and then sends the results of the production plan to a selected production enterprise through a P2P protocol; matching by the manufacturing enterprise and the production task orchestration node based on the results of the production plan;
S44, executing production tasks: through a P2P mode in the industrial Internet, the same equipment can be selected among different operation technology (OperationalTechnology, OT) service providers, and the same OT service provider can provide professional OT services for a large number of equipment at the same time;
s45, storage and transportation: P2P mode warehouse and transportation are based on industry internet platform, with production task execution information release, accomplish the manufacturing enterprise and warehouse and transportation enterprise service's match, provide more nimble warehouse and transportation service.
The application provides a production service processing method based on a computing power service system. The computing power service system comprises a production equipment module, a computing priority network module, a network management module and a production content module, and the method comprises the following steps: responding to the production service request, acquiring a production service request of a content service node in the production content module, acquiring service information based on the production service request, and registering and searching the production content node based on the production content module so as to determine a production plan corresponding to the production service request; acquiring equipment information of production equipment nodes in a production equipment module, determining an application result of the production equipment nodes based on a production plan, and determining a first corresponding relation between the content service nodes and the production equipment nodes based on the application result; acquiring computing power resource information of a computing power service node in a computing priority network module, determining a computing power task based on a production equipment node and a production plan, and determining a second corresponding relation between the production equipment node and the computing power service node based on the computing power task and the computing power resource information; and determining network links among the content service node, the production equipment node and the computing power service node corresponding to the first corresponding relation and the second corresponding relation based on the network management module, determining intelligent contracts of the nodes and the network links based on the production content module, and executing production service requests based on the intelligent contracts. Determining the association relation between the production content node and/or the production content node through the production service request, and determining a production plan corresponding to the production service request based on the production content node; the production equipment nodes are controlled to execute the production plan through the matching of the production plan and the production equipment nodes, the specific matching implementation is determined according to the application cost generated by the equipment application production plan corresponding to the production equipment nodes, and the production equipment nodes to which the final production plan can be applied are determined through the comparison of the application cost; the production equipment executes the production plan, external computing power service is needed to be utilized, the computing power service needs to be determined according to specific computing power tasks, computing power tasks corresponding to the production equipment nodes are determined based on the production equipment nodes and the production plan, computing power service nodes are screened in a computing power network based on the characteristics of the computing power tasks, and therefore determining of the computing power service nodes is achieved; according to the application, communication among all nodes is in a many-to-many communication mode, after information of a production equipment node is released, other nodes in a network can receive the information of the equipment node, a first corresponding relation is determined through bidirectional selection of the production equipment node and a content service node, a second corresponding relation is determined through bidirectional selection of the production equipment node and a power calculation service node, and the corresponding relation of the content service node and the power calculation service node is determined by the first corresponding relation and the second corresponding relation; meanwhile, authentication and transaction of the nodes are carried out through the communication network and the blockchain network, so that safe transaction of the nodes is realized, transaction safety is guaranteed, meanwhile, flexibility of allocation of the computing power service resources is guaranteed, and the technical problems of low expansibility and low stability of the computing power service mode are solved.
Fig. 4 is a schematic structural diagram of a production service processing device based on a computing power service system according to an embodiment of the present application. The apparatus of this embodiment may be in the form of software and/or hardware. As shown in fig. 4, a production service processing device 400 provided in an embodiment of the present application is based on a computing service system, where the computing service system includes a production device module, a computation priority network module, a network management module, and a production content module, and the device includes: an acquisition module 401, a first processing module 402, a second acquisition module 403 to determine a module 404,
an obtaining module 401, configured to obtain a production service request of a content service node in the production content module in response to the production service request, obtain service information based on the production service request, and determine a production plan based on the service information;
a first processing module 402, configured to obtain device information of a production device node in the production device module, and determine a first correspondence between a content service node and the production device node based on the device information and a production plan;
a second processing module 403, configured to obtain computing power resource information of the computing power service node in the computing priority network module, determine a computing power task based on the production equipment node and the production plan, and determine a second corresponding relationship between the production equipment node and the computing power service node based on the computing power task and the computing power resource information;
A determining module 404, configured to determine, based on the network management module, a network link between the content service node, the production equipment node, and the computing power service node corresponding to the first correspondence and the second correspondence, and determine, based on the production content module, an intelligent contract of the node and the network link, and execute a production service request based on the intelligent contract.
In a possible implementation, the device is further configured to:
based on the content production module, acquiring content service information of the content service node, and newly adding the content service information to a first registration list of the search service node;
determining whether a content service node with an association relationship with the content service node exists or not based on the first registration list, and if so, determining the content service node as the association content service node;
and determining a production plan corresponding to the service information based on the content service node and/or the associated content service node.
In a possible implementation, the device is further configured to:
synchronizing equipment information of the production equipment nodes to a preset platform based on the production equipment module;
acquiring equipment information of a preset platform based on a production equipment module, matching a production plan with production equipment nodes, and determining an equipment use plan of the production equipment nodes based on the equipment information and the production plan;
Scheduling based on the equipment use plan and the production plan, and determining an application result of the production plan applied to the production equipment node;
and determining a production equipment node corresponding to the application result which accords with the preset rule based on the application result, and determining a first corresponding relation between the production equipment node and a content service node corresponding to the production plan.
In a possible implementation, the device is further configured to:
and acquiring the computing power resource information of the computing power service node based on the computing priority network module, and adding the computing power resource information to a second registration list of the routing node.
In a possible implementation, the device is further configured to:
transmitting the computing power task corresponding to the production equipment node to a computing power service searching node based on a computing priority network module, and determining the computing power service node conforming to the computing power task characteristic as a computing power service node list; determining a node evaluation list corresponding to the power service node list based on the power service node list and the power calculation task;
and determining a second corresponding relation between the production equipment node and the computing power service node based on the computing power service node list and the node evaluation list.
In a possible implementation, the device is further configured to:
Determining search features and/or calculation service features corresponding to the calculation task based on the calculation task;
and determining the power calculation service information conforming to the search feature and/or the power calculation service feature based on the power calculation service information in the second registration list of the routing node and a preset algorithm, and determining a power calculation service node list based on the power calculation service information.
In a possible implementation, the device is further configured to:
determining an intelligent contract based on the network link, the content service node, the production equipment node, the computing power service node, the first corresponding relationship and the second corresponding relationship;
executing a production plan based on an intelligent contract in combination with a production equipment node, executing a calculation task based on a calculation service node, acquiring a first execution result of the calculation task based on the production equipment node, and acquiring a second execution result of the production plan based on a content service node;
and determining an execution result of the production service request based on the first execution result and the second execution result, and writing the execution result into a preset blockchain network.
In a possible implementation, the device is further configured to:
authenticating the computing power service node, the production equipment node and the content service node based on a preset blockchain network and a preset communication network, and judging whether the authentication is passed or not;
If yes, determining that the node acquires the pass, and determining an intelligent contract based on the node and the network link.
The application provides production service processing equipment based on a computing power service system. The computing power service system comprises a production equipment module, a computing priority network module, a network management module and a production content module, wherein the equipment comprises: the acquisition module is used for responding to the production service request, acquiring the production service request of the content service node in the production content module, acquiring service information based on the production service request, and registering and searching the production content node based on the production content module so as to determine a production plan corresponding to the production service request; the first processing module is used for acquiring equipment information of the production equipment nodes in the production equipment module, determining an application result of the production equipment nodes based on the production plan, and determining a first corresponding relation between the content service nodes and the production equipment nodes based on the application result; the second processing module is used for acquiring the calculation power resource information of the calculation power service node in the calculation priority network module, determining a calculation power task based on the production equipment node and the production plan, and determining a second corresponding relation between the production equipment node and the calculation power service node based on the calculation power task and the calculation power resource information; and the determining module is used for determining a network link among the content service node, the production equipment node and the computing power service node corresponding to the first corresponding relation and the second corresponding relation based on the network management module, determining intelligent contracts of the nodes and the network link based on the production content module, and executing production service requests based on the intelligent contracts. Determining the association relation between the production content node and/or the production content node through the production service request, and determining a production plan corresponding to the production service request based on the production content node; the production equipment nodes are controlled to execute the production plan through the matching of the production plan and the production equipment nodes, the specific matching implementation is determined according to the application cost generated by the equipment application production plan corresponding to the production equipment nodes, and the production equipment nodes to which the final production plan can be applied are determined through the comparison of the application cost; the production equipment executes the production plan, external computing power service is needed to be utilized, the computing power service needs to be determined according to specific computing power tasks, computing power tasks corresponding to the production equipment nodes are determined based on the production equipment nodes and the production plan, computing power service nodes are screened in a computing power network based on the characteristics of the computing power tasks, and therefore determining of the computing power service nodes is achieved; according to the application, communication among all nodes is in a many-to-many communication mode, after information of a production equipment node is released, other nodes in a network can receive the information of the equipment node, a first corresponding relation is determined through bidirectional selection of the production equipment node and a content service node, a second corresponding relation is determined through bidirectional selection of the production equipment node and a power calculation service node, and the corresponding relation of the content service node and the power calculation service node is determined by the first corresponding relation and the second corresponding relation; meanwhile, authentication and transaction of the nodes are carried out through the communication network and the blockchain network, so that safe transaction of the nodes is realized, transaction safety is guaranteed, meanwhile, flexibility of allocation of the computing power service resources is guaranteed, and the technical problems of low expansibility and low stability of the computing power service mode are solved.
Fig. 5 is a hardware structure diagram of a production service processing device based on a computing power service system according to an embodiment of the present application. As shown in fig. 5, the productivity service processing apparatus 500 based on the computing power service system includes:
a processor 501 and a memory 502;
the memory stores computer-executable instructions;
the processor executes computer-executable instructions stored in the memory 502 to cause the computing power service system-based production service processing device to perform the computing power service system-based production service processing method as described above.
It should be understood that the processor 501 may be a central processing unit (in english: centralProcessing Unit, abbreviated as CPU), or may be other general purpose processors, digital signal processors (in english: digital signal processor, abbreviated as DSP), application specific integrated circuits (in english: applicationSpeci ficIntegratedCircuit, abbreviated as ASIC), or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present application may be embodied directly in a hardware processor for execution, or in a combination of hardware and software modules in a processor for execution. The memory 502 may include a high-speed random access memory (i.e., randomAccessMemor y, abbreviated as RAM), and may further include a Non-volatile memory (i.e., NVM), such as at least one magnetic disk memory, and may also be a U-disk, a removable hard disk, a read-only memory, a magnetic disk, or an optical disk.
The embodiment of the application correspondingly provides a computer readable storage medium, wherein computer execution instructions are stored in the computer readable storage medium, and the computer execution instructions are used for realizing a production service processing method based on the power service system when being executed by a processor.
It should be noted that, for simplicity of description, the foregoing method embodiments are all described as a series of acts, but it should be understood by those skilled in the art that the present application is not limited by the order of acts described, as some steps may be performed in other orders or concurrently in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are alternative embodiments, and that the acts and modules referred to are not necessarily required for the present application.
It should be further noted that, although the steps in the flowchart are sequentially shown as indicated by arrows, the steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least a portion of the steps in the flowcharts may include a plurality of sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, the order in which the sub-steps or stages are performed is not necessarily sequential, and may be performed in turn or alternately with at least a portion of the sub-steps or stages of other steps or other steps.
It will be appreciated that the device embodiments described above are merely illustrative and that the device of the application may be implemented in other ways. For example, the division of the units/modules in the above embodiments is merely a logic function division, and there may be another division manner in actual implementation. For example, multiple units, modules, or components may be combined, or may be integrated into another system, or some features may be omitted or not performed.
In addition, each functional unit/module in each embodiment of the present application may be integrated into one unit/module, or each unit/module may exist alone physically, or two or more units/modules may be integrated together, unless otherwise specified. The integrated units/modules described above may be implemented either in hardware or in software program modules.
The integrated units/modules, if implemented in hardware, may be digital circuits, analog circuits, etc. Physical implementations of hardware structures include, but are not limited to, transistors, memristors, and the like. The processor may be any suitable hardware processor, such as a CPU, GPU, FPG A, DSP, ASIC, etc., unless specifically indicated. Unless otherwise indicated, the storage elements may be any suitable magnetic or magneto-optical storage medium, such as resistive random access memory RRAM (ResistiveRandomAccess Memory), dynamic random access memory DRAM (DynamicRandomAccessMemory), static random access memory SRAM (static random access memory), enhanced dynamic random access memory EDRAM (EnhancedDynamicRandomAccessMemory), high-bandwidth memory HBM (High-bandwidth memory), hybrid memory cube HMC (HybridMemoryC ube), etc.
The integrated units/modules may be stored in a computer readable memory if implemented in the form of software program modules and sold or used as a stand-alone product. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in whole or in part in the form of a software product stored in a memory, comprising several instructions for causing a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method of the various embodiments of the present application. And the aforementioned memory includes: a U-disk, a Read-only memory (ROM), a random access memory (RAM, randomAccessMemory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments. The technical features of the foregoing embodiments may be arbitrarily combined, and for brevity, all of the possible combinations of the technical features of the foregoing embodiments are not described, however, all of the combinations of the technical features should be considered as being within the scope of the disclosure.
Other embodiments of the application will be apparent to those skilled in the art from consideration of the specification and practice of the application disclosed herein. This application is intended to cover any variations, uses, or adaptations of the application following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the application pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It is to be understood that the application is not limited to the precise arrangements and instrumentalities shown in the drawings, which have been described above, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the application is limited only by the appended claims.
Claims (11)
1. A production service processing method based on a computing power service system, wherein the computing power service system comprises a production equipment module, a calculation priority network module, a network management module and a production content module, and the method comprises the following steps:
responding to a production service request, acquiring a production service request of a content service node in the production content module, acquiring service information based on the production service request, and determining a production plan based on the service information;
Acquiring equipment information of production equipment nodes in the production equipment module, and determining a first corresponding relation between the content service node and the production equipment nodes based on the equipment information and the production plan;
acquiring computing power resource information of a computing power service node in the computing priority network module, determining a computing power task based on the production equipment node and the production plan, and determining a second corresponding relation between the production equipment node and the computing power service node based on the computing power task and the computing power resource information;
and determining network links among the content service node, the production equipment node and the computing power service node corresponding to the first corresponding relation and the second corresponding relation based on the network management module, determining intelligent contracts of the nodes and the network links based on the production content module, and executing the production service request based on the intelligent contracts.
2. The method of claim 1, wherein the production content module further comprises a search service node, wherein the determining a production plan based on the service information comprises:
based on the content production module, acquiring content service information of the content service node, and newly adding the content service information to a first registration list of the search service node;
Determining whether a content service node with an association relationship exists in the content service node or not based on the first registration list, if so, determining the content service node as the associated content service node;
and determining the production plan corresponding to the service information based on the content service node and/or the associated content service node.
3. The method of claim 2, wherein the determining a first correspondence of the content service node and the production facility node based on the facility information and the production plan comprises:
synchronizing the equipment information of the production equipment node to a preset platform based on the production equipment module;
acquiring the equipment information of the preset platform based on the production equipment module, matching the production plan with the production equipment node, and determining an equipment use plan of the production equipment node based on the equipment information and the production plan;
scheduling based on the equipment use plan and the production plan, and determining an application result of the production plan applied to the production equipment node;
and determining the production equipment node corresponding to the application result which accords with a preset rule based on the application result, and determining a first corresponding relation between the production equipment node and the content service node corresponding to the production plan.
4. The method of claim 3, wherein the computation priority network module further comprises a routing node and a computation power service search node, the obtaining computation power resource information of the computation power service node in the computation priority network module comprising:
and acquiring the computing power resource information of the computing power service node based on the computing priority network module, and adding the computing power resource information to a second registration list of the routing node.
5. The method of claim 4, wherein the determining a second correspondence of the production facility node and the computing power service node based on the computing power task and the computing power resource information comprises:
transmitting the power calculation task corresponding to the production equipment node to the power calculation service searching node based on the calculation priority network module, and determining the power calculation service node conforming to the power calculation task characteristic as the power calculation service node list; determining a node evaluation list corresponding to the power computing service node list based on the power computing service node list and the power computing task;
and determining a second corresponding relation between the production equipment node and the computing power service node based on the computing power service node list and the node evaluation list.
6. The method of claim 5, wherein the determining the computing force service node that meets the computing force task feature as the list of computing force service nodes comprises:
determining search features and/or computing power service features corresponding to the computing power task based on the computing power task;
and determining the power computing service information conforming to the search feature and/or the power computing service feature based on the power computing service information in the second registration list of the routing node and a preset algorithm, and determining the power computing service node list based on the power computing service information.
7. The method of claim 6, wherein the determining a smart contract for the node and the network link based on the production content module, performing the production service request based on the smart contract, comprises:
determining an intelligent contract based on the network link, the content service node, the production facility node, the computing power service node, the first correspondence and the second correspondence;
executing the production plan based on the intelligent contract in combination with the production equipment node, executing the calculation task based on the calculation service node, acquiring a first execution result of the calculation task based on the production equipment node, and acquiring a second execution result of the production plan based on the content service node;
And determining an execution result of the production service request based on the first execution result and the second execution result, and writing the execution result into the preset blockchain network.
8. The method of claim 7, wherein the determining a smart contract based on the network link, the content service node, the production facility node, the computing power service node, and the first and second correspondences comprises:
authenticating the power computing service node, the production equipment node and the content service node based on the preset blockchain network and a preset communication network, and judging whether the authentication is passed or not;
if yes, determining that the node obtains a pass, and determining the intelligent contract based on the node and the network link.
9. A production service processing device based on a computing power service system, wherein the computing power service system comprises a production device module, a computation priority network module, a network management module and a production content module, and the device comprises:
the system comprises an acquisition module, a production service request module and a production program module, wherein the acquisition module is used for responding to the production service request, acquiring a production service request of a content service node in the production content module, acquiring service information based on the production service request and determining a production plan based on the service information;
A first processing module, configured to obtain device information of a production device node in the production device module, and determine a first correspondence between the content service node and the production device node based on the device information and the production plan;
the second processing module is used for acquiring the computing power resource information of the computing power service node in the computing priority network module, determining a computing power task based on the production equipment node and the production plan, and determining a second corresponding relation between the production equipment node and the computing power service node based on the computing power task and the computing power resource information;
and the determining module is used for determining a network link among the content service node, the production equipment node and the computing power service node corresponding to the first corresponding relation and the second corresponding relation based on the network management module, determining intelligent contracts of the node and the network link based on the production content module, and executing the production service request based on the intelligent contracts.
10. A productivity service processing device based on a computing power service system, comprising: a processor, and a memory communicatively coupled to the processor;
The memory stores computer-executable instructions;
the processor executes the computer-executable instructions stored in the memory to implement the method of computing power service system-based production service processing as claimed in any one of claims 1 to 8.
11. A computer-readable storage medium, wherein computer-executable instructions are stored in the computer-readable storage medium, which when executed by a processor, is configured to implement the method for processing a production service based on a computing power service system according to any one of claims 1 to 8.
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