CN116048810A

CN116048810A - Mixed calculation force network identification method and equipment based on three-dimensional view

Info

Publication number: CN116048810A
Application number: CN202310103099.7A
Authority: CN
Inventors: 程启月; 陆军; 蔡剑; 傅宇龙; 刘勇
Original assignee: Quantum Technology Yangtze River Delta Industrial Innovation Center
Current assignee: Quantum Technology Yangtze River Delta Industrial Innovation Center
Priority date: 2023-02-13
Filing date: 2023-02-13
Publication date: 2023-05-02
Anticipated expiration: 2043-02-13
Also published as: CN116048810B

Abstract

The application discloses a quantum electronic mixed power network identification method, a device, electronic equipment and a readable storage medium based on a three-dimensional view, wherein the method comprises the following steps: determining a target computing power node, and acquiring parameter information of the target computing power node according to a preset parameter type, wherein the preset parameter type comprises a root service layer parameter, an analysis layer parameter and a link relation layer parameter; determining a coding rule corresponding to the preset parameter type, and coding corresponding parameter information according to the coding rule to obtain each coding field; and integrating the coding fields to obtain the identification codes of the target computing nodes. According to the technical scheme, the identification coding technology under the three-dimensional view comprising the root service layer, the analysis layer and the link relation layer is provided, different parameter types correspond to different coding rules, and the identification coding of each calculation force node in the quantum electronic mixed calculation force network can be realized, so that the node management is more flexible and convenient.

Description

Mixed calculation force network identification method and equipment based on three-dimensional view

Technical Field

The application relates to the technical field of hybrid power networks, in particular to a quantum electronic hybrid power network identification method and device based on a three-dimensional view, electronic equipment and a readable storage medium.

Background

The meaning of the mark is essentially that through purposeful information compiling, everything perception and discovery are supported, the mark service is used as a key function and an important hub for acquiring data, and is a foundation for realizing the interconnection and intercommunication of all-network, all-element and all-link information.

Along with the development of the internet of things, the main directions of identification application are focused on aspects of mass access, mobile networking, comprehensive identification and the like, wherein the quantum electronic hybrid power network identification problem is a new subject. In the quantum electronic hybrid power network, the server has both quantum devices and electronic devices, but the related conventional technology does not realize the whole network identification technology for the quantum electronic hybrid power network.

Therefore, how to realize the identification coding of each calculation force node in the quantum electronic mixed calculation force network, and further realize more flexible and convenient node management is a problem to be solved by the technicians in the field.

Disclosure of Invention

The quantum electronic mixed calculation force network identification method based on the three-dimensional view can realize identification coding of all calculation force nodes in the quantum electronic mixed calculation force network, and further realize more flexible and convenient node management; another object of the present application is to provide a quantum electronic hybrid network identification device, an electronic device and a computer readable storage medium based on a "three-dimensional view", which all have the above-mentioned advantages.

In a first aspect, the present application provides a quantum electronic hybrid force network identification method based on a "three-dimensional view", the method comprising:

determining a target computing power node, and acquiring parameter information of the target computing power node according to a preset parameter type, wherein the preset parameter type comprises a root service layer parameter, an analysis layer parameter and a link relation layer parameter;

determining a coding rule corresponding to the preset parameter type, and coding corresponding parameter information according to the coding rule to obtain each coding field;

and integrating the coding fields to obtain the identification codes of the target computing nodes.

Optionally, the root service layer parameters include a formatting information parameter, a transmission function information parameter, and a security protocol information parameter; wherein,

the formatting information parameters comprise one or more of root server information, position information, server label information, behavior information, variable message number information, object classification information and product code information;

the transmission function information parameters comprise transmission distance information and/or transmission characteristic information;

the security protocol information parameter includes security encryption information and/or communication protocol information.

Optionally, when the preset parameter type is the root service layer parameter, the encoding the corresponding parameter information according to an encoding rule to obtain each encoding field includes:

identifying all the root service layer parameters by using an HSIC model (Hilbert-Schmidt independence criterion, hilbert-Schmidt independence index) to determine dynamic parameters and static parameters;

for each static parameter, obtaining a static parameter value through parameter value extraction, and taking the static parameter value as a coding field;

for each dynamic parameter, obtaining a dynamic parameter value through parameter extraction, determining a mapping value corresponding to the dynamic parameter value according to a first mapping relation, and taking the mapping value as a coding field; the first mapping relation is a mapping relation between each dynamic parameter value and each mapping value.

Optionally, the parsing layer parameters include dynamic parameters in the root service layer parameters; wherein,

each dynamic parameter is identified and obtained in all the root service layer parameters through an HSIC model.

Optionally, when the preset parameter type is the parsing layer parameter, the encoding the corresponding parameter information according to an encoding rule to obtain each encoding field includes:

for the parameter information of each analysis layer parameter, obtaining a dynamic parameter value through parameter extraction;

determining a mapping value corresponding to the dynamic parameter value according to a first mapping relation; the first mapping relation is a mapping relation between each dynamic parameter value and each mapping value;

and taking the mapping value as an encoding field.

Optionally, the link relation layer parameter includes an entropy parameter between the target computing node and an associated computing node; wherein,

when the target computing force node is a quantum computing force node and the associated computing force node is a quantum computing force node, the entropy value parameter is given computing force entanglement entropy;

when the target computing force node is an electronic computing force node and the associated computing force node is an electronic computing force node, the entropy value parameter is given computing force associated entropy;

When the target computing force node is a quantum computing force node and the associated computing force node is an electronic computing force node, or when the target computing force node is an electronic computing force node and the associated computing force node is a quantum computing force node, the entropy value parameter is the given computing force relative entropy.

Optionally, when the preset parameter type is the link relation layer parameter, the encoding the corresponding parameter information according to an encoding rule to obtain each encoding field includes:

for the parameter information of each link relation layer parameter, determining a corresponding entropy value parameter;

determining a corresponding computing power capability measure value of the entropy value parameter according to a second mapping relation; the second mapping relation is the mapping relation between each entropy value parameter and each computing power capability measure value;

the capability measure value is taken as an encoded field.

In a second aspect, the present application further discloses a quantum electronic hybrid force network identification device based on a "three-dimensional view", the device comprising:

the acquisition module is used for determining a target computing node and acquiring parameter information of the target computing node according to a preset parameter type, wherein the preset parameter type comprises a root service layer parameter, an analysis layer parameter and a link relation layer parameter;

The coding module is used for determining a coding rule corresponding to the preset parameter type, and coding corresponding parameter information according to the coding rule to obtain each coding field;

and the integration module is used for integrating the coding fields to obtain the identification codes of the target computing nodes.

In a third aspect, the present application also discloses an electronic device, including:

a memory for storing a computer program;

a processor for implementing the steps of any of the "three-dimensional view" based quantum electronic hybrid force network identification methods described above when executing a computer program.

In a fourth aspect, the present application also discloses a computer readable storage medium, on which a computer program is stored, which when executed by a processor implements the steps of any of the above "three-dimensional view" based quantum electronic hybrid network identification methods.

By applying the technical scheme provided by the application, starting from the design of the top layer of the power calculation network identification and the demand of the identification characteristic, the identification coding technology under the three-dimensional view comprising the root service layer, the analysis layer and the link relation layer is provided, different parameter types correspond to different coding rules, the identification coding of each power calculation node in the quantum electronic mixed power network is realized, the more flexible and convenient node management is further realized, and the safety, the reliability and the scientificity of the identification coding in the quantum electronic mixed power network are improved.

Drawings

In order to more clearly illustrate the prior art and the technical solutions in the embodiments of the present application, the following will briefly describe the drawings that need to be used in the description of the prior art and the embodiments of the present application. Of course, the following figures related to the embodiments of the present application are only some of the embodiments of the present application, and it is obvious to those skilled in the art that other figures can be obtained from the provided figures without any inventive effort, and the obtained other figures also belong to the protection scope of the present application.

Fig. 1 is a schematic flow chart of a quantum electronic hybrid power network identification method based on a three-dimensional view;

FIG. 2 is a schematic diagram of a hybrid computing power network identification coding system based on a "three-dimensional view" provided in the present application;

FIG. 3 is a schematic structural diagram of a quantum electronic hybrid force network identification system based on a "three-dimensional view" provided in the present application;

FIG. 4 is a schematic structural diagram of a quantum electronic hybrid force network identification device based on a "three-dimensional view" provided in the present application;

fig. 5 is a schematic structural diagram of an electronic device provided in the present application.

Detailed Description

The core of the application is to provide a quantum electronic mixed calculation force network identification method based on a three-dimensional view, and the quantum electronic mixed calculation force network identification method based on the three-dimensional view can realize the identification coding of each calculation force node in a quantum electronic mixed calculation force network, thereby realizing more flexible and convenient node management; another core of the present application is to provide a quantum electronic hybrid network identification device, an electronic device and a computer readable storage medium based on a "three-dimensional view", which all have the above-mentioned beneficial effects.

In order to more clearly and completely describe the technical solutions in the embodiments of the present application, the technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application. It will be apparent that the described embodiments are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.

The embodiment of the application provides a quantum electronic mixed power network identification method based on a three-dimensional view.

Referring to fig. 1, fig. 1 is a flow chart of a quantum electronic hybrid power network identification method based on a "three-dimensional view", which may include the following steps S101 to S103.

S101: determining a target computing power node, and acquiring parameter information of the target computing power node according to a preset parameter type, wherein the preset parameter type comprises a root service layer parameter, an analysis layer parameter and a link relation layer parameter.

The step aims to obtain parameter information of a target power computing node, wherein the target power computing node is a power computing node (i.e. a power computing node to be accessed into a quantum electronic power computing network (i.e. a hybrid power computing network)), and it is understood that the target power computing node may be a quantum power computing node or an electronic power computing node in the hybrid power computing network.

The parameter information of the target computing node is obtained according to a preset parameter type (i.e., a preset parameter type to be obtained), where the preset parameter type may include a root service layer parameter, an analysis layer parameter, and a link relation layer parameter. The service layer parameters refer to relevant parameter information of a root server corresponding to the target computing node, and the relevant parameter information comprises dynamic parameter information and static parameter information; the analysis layer parameter refers to dynamic parameter information in the service layer parameter; the link relation layer parameter refers to related parameter information of a link relation between the target computing node and the associated computing node.

S102: determining a coding rule corresponding to a preset parameter type, and coding corresponding parameter information according to the coding rule to obtain each coding field.

The step aims at realizing the identification coding of each parameter information so as to obtain a corresponding identification coding field. Specifically, on the basis of acquiring parameter information of a preset parameter type for a target power node, different coding rules can be preset for different preset parameter types, so that corresponding parameter information can be coded according to the coding rules corresponding to the preset parameter types.

As described above, the preset parameter types include a root service layer parameter, an parsing layer parameter, and a link relation layer parameter, where the root service layer parameter may correspond to an identification field encoding rule of the hierarchical architecture, the parsing layer parameter may correspond to an identification field encoding rule of the projected architecture, and the link relation layer parameter may correspond to an identification field encoding rule of the distributed architecture.

S103: and integrating all the coding fields to obtain the identification codes of the target computing nodes.

This step aims at implementing an integration process of the code fields to obtain an identification code about the target computing node. Specifically, after each parameter information is encoded to obtain a corresponding encoded field, all the encoded fields can be integrated to obtain a complete identification code, and the identification code is the identification code of the target power calculation node. It should be noted that, the identification code obtained after the integration process is a multidimensional vector containing "three-dimensional" code fields, namely:

{ quantum electronic hybrid power network identity = { { root service layer parameter }, analysis layer parameter }, link relation layer parameter }.

Fig. 2 is a schematic diagram of a hybrid computing power network identifier coding system based on a "three-dimensional view" provided in the present application, as shown in fig. 2.

Therefore, the quantum electronic mixed computing power network identification method based on the three-dimensional view provided by the embodiment of the application provides an identification coding technology under the three-dimensional view comprising a root service layer, an analysis layer and a link relation layer from the demands of the computing power network identification top layer design and identification characteristics, different parameter types correspond to different coding rules, the identification coding of each computing power node in the quantum electronic mixed computing power network is realized, more flexible and convenient node management is further realized, and the safety, reliability and scientificity of the identification coding in the quantum electronic mixed computing power network are improved.

In one embodiment of the present application, the root service layer parameters include formatting information parameters, transport function information parameters, security protocol information parameters; wherein,

the formatted information parameters comprise one or more of root server information, location information, server tag information, behavior information, variable message number information, object classification information and product code information;

In an embodiment of the present application, when the preset parameter type is a root service layer parameter, the encoding the corresponding parameter information according to the encoding rule to obtain each encoding field may include:

identifying all root service layer parameters by using an HSIC model, and determining dynamic parameters and static parameters;

The above embodiment provides an implementation manner of specific content of the root service layer parameter type and corresponding coding rules thereof. In particular, the root service layer parameters may include a formatting information parameter, a transmission function information parameter, and a security protocol information parameter, where the formatting information parameter refers to an identification coding message standard capable of describing commonality information of all network computing nodes.

As described above, the service layer parameters may include dynamic parameter information and static parameter information, for which different coding rules are proposed for the status type of the parameter information: for static parameters, the static parameter values can be directly extracted as corresponding coding fields; for the dynamic parameter, a mapping relationship between the dynamic parameter value and the mapping value (i.e. the first mapping relationship) is preset, for example, different value intervals correspond to different mapping values, so that after the dynamic parameter value is extracted, the mapping of the dynamic parameter value in the first mapping relationship can be directly mapped to the mapping field as an encoding field (for specific implementation, refer to the next embodiment). The state type of the parameter information can be identified and determined by using the HSIC model.

Further, aiming at the above various parameter information, the following realizable coding rules are proposed:

(1) Root server information:

the root server and the mixed power network are networked to define a mixed power network. The root server information identification encoded message standard may be defined as:

(root server information identification encoded message standard) = (root server product code string).

For example, root server product code: S/N: the YLYXB21120001 root server information identification field may be: { root server info identification field } = { SNYLYXB21120001}.

Namely: the root server product code is defined as a root server information identification code field.

(2) Position information:

the power calculation network is rasterized according to a geographic area to divide the position information of a plurality of grids, and each grid corresponds to the grid ordinal number of a position identification section, and can be defined by longitude and latitude of the region where the service node is located. The location information identification code message standard may be defined as:

(location information) = (grid ordinal) = (service node location longitude and latitude);

or:

(location information) = (grid ordinal) = (service node space longitude and latitude message standard).

When the position information reflects 'space position information', the position longitude and latitude can be regarded as a cone, and the projected distance between the projected position longitude and latitude of the root server node and the space position of the planned service node obtained by transforming the polar coordinates is defined as a position information identification field coding message standard. Of course, the location information may be implicit information, and may be used as location coordinates when determining the distance identification code field when identifying the transmission distance information.

Namely: the projection distance between the longitude and latitude of the position of the root server node and the space position of the to-be-served node is defined as a position information identification coding field.

(3) Server tag information:

in order to distinguish the types of the computing nodes in the mixed computing power network, the types of the computing nodes are divided into quantum computer computing nodes and electronic computer computing nodes, the identification codes of the quantum computer computing nodes and the electronic computer computing nodes can be stored in a dynamic database in the form of server labels, and the label information is used as a message standard of an identification code field of a service node.

For example, if the electronic computer node tag message standard is defined as IID and the quantum computer node tag message standard is defined as QID, then the server tag information identification code field is { QID } or { IID }.

Namely: { QID } and { IID } represent the quantum computer node tag identification code field message standard, and the electronic computer node tag identification code field message standard, respectively.

(4) Behavior information:

in order to promote scene fusion and interoperability of devices, systems and platforms, for example, an internet of things node, and possible 'people, machines and objects' in the internet of things are more accurately understood to be various elements in a network and an informationized system, including hardware, software, data, services and the like, a set formed by tight interaction and related information are uniformly identified by behavior information which can be described only by multiple parameters, and for this purpose, an analytical model can be established, and an identification coding field is defined by an analytical method value (specific implementation can refer to (2) in the next embodiment).

(6) Variable message number information:

for example, the "terminal equipment identification information" message standard: service nodes or quantum computers and electronic computers of different manufacturers, different models and different functions (internet of things); for another example, the maximum membership of a service node (object) in a sub-network after the operator network is rasterized is a dynamic-variable message standard, and the identification code field may be defined by using a parsing method value (for a specific implementation, refer to the next embodiment).

(7) Object classification information:

in the case that the sub-network of the link is the internet of things, the "terminal equipment identification information" in the internet of things may be "people", "machine" or "object", which may be classified and identified according to the difference of "objects", a semantic coding method or an parsing method may be designed, and the parsing value may be used to define an identification coding field (for specific implementation, refer to (3) in the next embodiment).

(8) Product code information:

each service node (server) is endowed with a product code information when leaving the factory, and is the unique fixed message standard like an engine of an automobile, and the product code information identification section can be used for carrying out analysis method coding to form the message standard. In addition, because of a plurality of manufacturers, the product codes are complex, a semantic information coding message standard can be provided by an analytic method, and the identification coding field is defined by an analytic method value (the specific implementation can refer to the next embodiment).

(9) Transmission distance information:

the transmission distance refers to a distance between the power node of the power network root server and the server of the service node to be identified, and for example, transmission distance information of the server (IID) of the i-th service node and the quantum root server (QID) may be used as the transmission distance information identification code field (for specific implementation, refer to (1) in the next embodiment).

(10) Transmission characteristic information:

the transmission characteristic information refers to a message standard affecting the characteristics of the transmission key information in the process of calculating the power demand, for example, the transmission characteristic information is a two-dimensional vector, and is related to the transmission rate and the transmission delay. For example, the message standard that can define the transmission characteristics is as follows:

(transmission characteristic message standard) = [ (transmission rate information), (transmission delay message) ].

Furthermore, the identification code field may also be defined by an parsing method value (for specific implementation, refer to (5) in the next embodiment).

(11) Secure encryption information:

secure encrypted information messages are also referred to as encrypted field messages. The security information identification coded message standard must meet constraint algorithms such as security, reliability, machine easy identification, and restorability. For example, the security information field may be designed as a safe, reliable, machine-identifiable and recoverable algorithm, and the identification code field may be defined with a parsing method value as well (see (4) in the next embodiment for a specific implementation).

(12) Communication protocol information:

communication protocol message standard idea: innovations are made around the current situation of the DNS of three large communication operators, and a universal message standard is provided. In the message standard field of the communication protocol, the better security extensibility of the DNS can be utilized to add a part of the message standard field to the global identification scheme, for example, the server mirror node identification with a field having a root domain name, such as:

(communication protocol (constraint)) = [ (DNS constraint) ]= [ (DNS field) ].

The operation and management work according to the China country top-level domain name ". Cn" is responsible for by the China Internet information center, and the second-level domain name of the China top-level domain name ". Cn" is divided into two types of category domain names and administrative domain names according to the related management rules of the China Internet information center, wherein the category domain names are as follows:

". ac" -scientific research institutions; ". com" -commercial finance enterprise; ". edu" -education institutions; ". gov" -government agency; ". net" -interconnecting the network information center and the operation center; ". org" -non-profit organizations, etc.

In addition, the administrative domain names are 34 in number, and correspond to each province, autonomous area, direct administration city and special administrative area in China respectively. The domain name in the internet is also identified and coded according to the purpose of a certain computer, such as ". News", ". Mail", ". Bbs", etc.

Thus, three types of domain name segments can be selected for identification in the DNS field, for example:

(DNS field identification code message standard) = { (administrative domain name), (category domain name), (computer class) }.

For example: (DNS field identifies coded message standard) = (. Js,. Org,. Mail).

Namely: the DNS field identification code message standard is defined as a communication protocol identification code field.

In one embodiment of the present application, the resolution layer parameters include dynamic parameters in the root service layer parameters;

wherein ,

each dynamic parameter is identified and obtained in all root service layer parameters through the HSIC model.

In an embodiment of the present application, when the preset parameter type is an parsing layer parameter, encoding the corresponding parameter information according to an encoding rule to obtain each encoding field may include:

determining a mapping value corresponding to the dynamic parameter value according to the first mapping relation; the first mapping relation is the mapping relation between each dynamic parameter value and each mapping value;

The mapping value is taken as an encoding field.

The above embodiment provides an implementation manner of specific content of the root service layer parameter type and corresponding coding rules thereof. As described above, the parsing layer parameter refers to dynamic parameter information in the service layer parameter, and thus, its encoding rule corresponds to the encoding rule of the dynamic parameter information in the service layer parameter. In a specific implementation process, the relation between the node computing force characteristic and the identification code can be established through projection mapping according to dynamic parameter information identification code and the like, and the relation is characterized by using a measure value or a measure vector, for example, on product information identification code analysis, the product information can be different according to service nodes or computers (quantum electronic computers and computing force nodes) of different manufacturers, different models and different functions (the Internet of things), but the computing force service must be uniformly coded when entering the network. The main implementation flow can comprise:

step 1: constructing an information pool of computing force node parameters;

step 2: classifying the force calculation node parameter information pool according to a certain rule;

step 3: establishing a mapping relation (namely a first mapping relation such as a piecewise function) of a computing power node parameter 'information pool';

Step 4: an algorithm (such as a minimum entropy method) is given to calculate a multi-parameter measure value;

step 5: pre-judging a force node identification coding field;

step 6: and determining the power node identification code.

Further, aiming at various dynamic parameter information, the following specific coding rules are provided:

(1) Transmission distance information:

assume that the longitude x of the root server ₀ Latitude y ₀ The longitude and latitude of the quasi-service node computer is (x) _i ，y _i ) Definition S _i The I is a transmission distance identification coding message standard field;

(transmission distance identification code message standard field) = (distance between root server and service node) = { |s _i ||}。

For example, x ₀ ＝120.6557821°，y ₀ ＝31.3725970°；x _i ＝130.6557821°；y _i = 63.3725970 °; then S _i |= 31.62228 (5-bit fraction reserved), the transmission distance information identifies that the encoded field is {31.62228}.

Namely: the distance measure value between the root server and the service node is defined as the transmission distance information identification code.

(2) Behavior information:

taking service object view scene information identification codes as an example, different algorithms can be given.

Suppose that n is possibly provided in relation to a service object view scenario _i The parameters can be subjected to any operation such as compression, summation, extremum taking, mean value calculation, variance calculation and the like, and the obtained numerical value X _i ^Z Is an integer value [ X ] _i ^Z ]As a "behavior identification code information message standard", a 1-bit parameter of a certain field in the global identification code of the power network, namely:

(behavior information identification code) = [ take X ] _i ^Z Is an integer of the upper-definite range of (a)]＝[X _i ^Z ]。

(3) Object classification information:

according to the characteristics of the object classification information, such as "people", "machines" and "objects", the object classification information is regarded as a group G, and the classification information can be processed in series by semantic coding, or can be represented by class functions according to the class of the service node (a class function is a function f on a group G, so that f takes a constant value on the conjugated class of G).

Method one, semantic identification coding message standard analysis method:

the semantic features are that serial processing is carried out according to semantic codes according to the meaningful connection between the service node and the line, namely:

(object classification information) = [ "person", "machine", "object" ] = [ semantic coding information message standard ].

If the service node is a quantum computer, then define: semantic coding information message standard: QID-;

if the service node is an electronic computer, then define: semantic coding information message standard: iid→;

namely: the semantic information identification coding message standard is the service node classification information identification coding field.

Method two, class function identification coding message standard analysis method:

"object classification information identification code" is, for example, a group G, which may be "person", "machine", "object" according to the characteristics of the object classification information, and serial processing may be performed by using the language code to embody the classification:

the "person" semantic coding information identifies the coding message standard: f ("human") =11;

"machine" semantically encoded information message standard: f ("machine") =22;

"object" semantic identification encodes message criteria: f ("object") =33;

therefore, a one-to-one correspondence is established between the class function identification code field and the semantic code information message, for example, the identification code field of the object of a certain computing node terminal device can be defined as {33}.

Of course, the class function classified by the service node (a class function is a function f on a group G, such that f takes a constant value on a conjugate class of G), for example, the class function is classified into 9 classes by the service node, or the class function is defined by two digits corresponding to each class, and the correspondence relationship between the class functions is as shown in table 1:

table 1 service node semantic identification code checklist

Internet of vehicles terminal-61	Single-machine server terminal-71	Personal PC terminal-81
			Internet of things terminal-62	Server cluster terminal-72	Personal mobile phone terminal-82
Wide area network terminal-63	Root server terminal-73	Super computing center terminal-88

Namely: the semantic code information message standard is the identification code field of the object classification information.

(4) Secure encryption information:

secure encryption information identification coding the secure information field must be designed as a secure, reliable, machine-identifiable and recoverable algorithm, for example, by parsing the identification coded message standard according to a given quantum entanglement entropy algorithm. An implementation flow may include:

step 1: collecting registration information of the service node, wherein the registration information can be identity card information or product code information of a machine of the service node device;

step 2: the registration information encryption processing can carry out digital encryption processing on the registration information according to a certain relative entropy algorithm or quantum entanglement entropy algorithm to form an encrypted measurement value;

step 3: establishing an encryption measure value coverage area; for example, the measure value may be divided into 26 sub-intervals, comprising: [0, 1/26), [1/26, 2/26), [2/26,3/26), [3/26, 4/26), [4/26, 5/26), [5/26, 6/26), [6/26,7/26), …, [22/26, 23/26), [23/26, 24/26), [24/26, 25/26), [25/26, 26/26;

Step 4: establishing a coding mapping relation between coverage areas; for example, the coverage areas can be defined to have a one-to-one correspondence with the english 26 english letters:

[0，1/26)→A，[1/26，2/26)→B，[2/26，3/26)→C，[3/26，4/26)→D，[4/26，5/26)→E，[5/26，6/26)→F，[6/26，7/26)→G，…，[22/26，23/26)→W，[23/26，24/26)→X，[24/26，25/26)→Y，[25/26，26/26)→Z；

step 5: determining a computing power node security encryption information identification coding field: one of the English letters of { A, B, C, …, X, Y, Z } is the identification code field of the encryption measure value.

(5) Transmission characteristic information:

the transmission rate of the ith service object (node) can be set as v by the related factors of the transmission characteristics _i A transmission delay of Deltat _i The entropy metric measure [ E ] defined below can be given _i ^(v) ]，[E _i ^(t) ]The identification code message standard as the transmission characteristic information is calculated as follows:

transmission rate v _i Entropy is defined as E _i ^(v) Transmission delay Δt _i Entropy is defined as E _i ^(t) The feature vector of the obtained "transmission characteristic message standard" is calculated as:

E _i ^(v) ∈[c _i ，d _i ]get E _i ^(v) Is an integer of the upper-definite range of (a)]＝[E _i ^(v) ]；

E _i ^(t) ∈[e _i ，f _i ]Get E _i ^(t) Is an integer of the upper-definite range of (a)]＝[E _i ^(t) ]；

(transmission characteristics identify coded message standard) = { [ E _i ^(v) ]，[E _i ^(t) ]}。

The 2-bit parameter of a certain field in the integral identification code of the power network of the transmission characteristic message standard is obtained through calculation.

In one embodiment of the present application, the link-relationship layer parameters include entropy parameters between the target and associated computing nodes; wherein,

when the target computing force node is an electronic computing force node and the associated computing force node is an electronic computing force node, the entropy value parameter is the given computing force associated entropy;

In an embodiment of the present application, when the preset parameter type is a link relation layer parameter, encoding the corresponding parameter information according to an encoding rule to obtain each encoding field may include:

determining a computing power capability measure value corresponding to the entropy value parameter according to the second mapping relation; the second mapping relation is the mapping relation between each entropy value parameter and each computing power capability measure value;

the capability measure value is taken as the code field.

The above embodiments provide an implementation manner of specific content of the link relation layer parameter type and corresponding coding rules thereof. Specifically, for the terminal equipment identification coding information of the hybrid power network, not only is the mobility management network element required to receive the registration network element from the equipment, but also the hybrid power network node calculation power information identification coding message standard is required, so the method comprises three types of relation systems among hybrid power operation systems, relation systems among registration network elements, relation systems between service nodes and target task node relation systems and the like based on the 'relation state' problem of the topology distributed structure of the power network, and can adopt a semantic information method to give out a definition 'relation state' message standard determination flow by using the semantic information method as follows:

Step 1: carding the relation among all mixed computing force operating systems of the whole network;

step 2: carding the relation among all the mixed cost-effective registered network elements of the whole network;

step 3: carding the relation between the full-network service node and the target task node;

step 4: defining "relationship" message criteria with semantics;

for example, the relationship between the hybrid computing power operating systems is represented by a "; the relation between the mixed calculation force registration network elements is expressed by an 'or'; the relation between the service node and the target task node is clearly carded and expressed by n;

step 5: according to the mapping relation of the 'relation state' message standard:

for example, the following mapping relationship may be established:

f ("relation") = f (= u) = u;

f ("relation") =f (or) =or;

f ("relation") = f (= n) = n;

step 6: determining a computing node identification coding field:

if the "relational" computing force node is two quantum computers Q1, Q2, defining the computing force entanglement entropy measure value as E _Q1Q2 ；

If the "relational" computing force node is two electronic computers I1, I2, defining the computing force association entropy measure value as E _I1I2 ；

If one of the "relational" computing nodes is the quantum computer Q1 and the other is the electronic computer I2, the computing force relative entropy measure value is defined as E _Q1I2 ；

Further, a one-to-one mapping relation (namely a second mapping relation) of the calculated capability measure values between the nodes to be coded is established, the message standard is used as a field identification code to be coded on the calculated capability node terminal equipment of the to-be-coded, for example, the mapping relation is as follows:

calculation force entanglement entropy measurement value E of two quantum computers Q1 and Q2 _Q1Q2 Mapping value f ("relation") =1- |e _Q1Q2 The I is a calculation capability measure value, and is defined as calculation capability information identification coding message standard;

calculation force correlation entropy measurement value E of two electronic computers I1 and I2 _I1I2 Mapping value f ("relation") =1- |e _I1I2 The I is a calculation capability measure value, and is defined as calculation capability information identification coding message standard;

the calculated force relative entropy measurement value E of one quantum computer Q1 and the other electronic computer I2 _Q1I2 Mapping value f ("relation") =1- |e _Q1I2 The I is a measure of the capability of the computing device, and is defined as the standard of the computing device information identification coding message.

On the basis of the above embodiments, please refer to fig. 3, fig. 3 is a schematic structural diagram of a quantum electronic computing power network identification system based on a "three-dimensional view" provided in the present application, which mainly includes:

(1) The full network computing power identification node data control management module:

The module includes a user layer, an application server layer, and a data layer.

User layer: the method can simultaneously meet the requirements of data selection, scheduling and data layer data interaction in the method provided by any application embodiment, namely, the system realizes data communication with each functional module in the preferential process about the preferred node to be selected.

Application server layer: and the middle layer is arranged between the data layer and the user layer and is used for realizing unified database management, knowledge base management, access of a user to the database, protection of the safety and the working efficiency of the database and the like, and the user interface can be connected with the data layer through the middle layer. The database management comprises user and authority management, different users allocate different authorities, and the knowledge base management is to manage and maintain databases, statistical databases and the like of the characteristic parameters of the optimized objects, including adding, deleting, editing, inquiring and the like of information.

Data layer: the method is used for storing or called data, including meeting the requirements of storing or called data, part data communicated with a database, preset data in advance, intermediate data to be stored and the like, and plays a role of a data storage library. Wherein storing or invoked data includes: the method comprises the steps of mixing a preferred node set corresponding to a calculation force network, and relevant to-be-calculated initial state data, intermediate operation data, analysis process data, sub-term operation data, comprehensive operation data and the like corresponding to various measure values.

(2) The hybrid power network identification node acquisition module:

the primary information for each node in the hybrid power network may include: the type (electronic and quantum) of the node, the geographical position information of the node, the equipment number of the node, the registrant information of the node, the equipment type of the node and the computing power capability of the node (which can be obtained by testing the test software giving an algorithm), and the information of each node can be obtained by the following ways:

pathway 1: acquiring geographic position information of the PC through an API of a development platform of the HTML5 and a map provider (such as a Goldmap);

pathway 2: acquiring the local information of the machine through the APIs of the development platform of the Python and map suppliers (such as Goldmap);

pathway 3: acquiring related information of a system by inserting hardware such as the identification medium U shield or the network card and the like;

pathway 4: the registration information required by the machine is acquired through the APP.

The above information may not completely satisfy the acquisition of all registration information, some necessary information (such as the registration identity information of the enterprise/the identity information of the user) may be interactively filled by the user through a WEB interface or the like, and the calculation capability measure value needs to be given by combining with related standards, and is calculated by a given calculation capability measure method or by means of an authoritative calculation capability calculation platform.

(3) And the mixed calculation force network identification node parameter analysis module is used for:

the method is used for analyzing the identification coding parameters of the calculation nodes in the mixed calculation force network, giving an identification coding vector set and storing the identification coding vector set in a data control management module of the whole network calculation force identification nodes.

(4) The full-network computing power node identification front-end management module:

the method is used for realizing the registration of the identification and the management of the identification, displaying the list information of the node identification through the WEB page, and displaying the basic information of the registered node and related operations, wherein the allowed operations can comprise inquiry, addition, update, deletion and the like. The administrator can manage the nodes according to the rules through the module, for example, delete the nodes which are not compliant.

(5) The network node identification and authorization management module is used for:

for providing a computing service to a registered computing node by authorizing the node to fail to access the hybrid computing network. For nodes meeting auditing qualification, an administrator can add the nodes to a mixed power network to provide service, and for nodes which are not meeting the conditions or have low priority, the nodes are processed according to actual conditions.

(6) And the virtual network computing force node parameter analyzing module is used for:

computing power node a for network access service _x ^s (s＝s ₁ ，s ₂ ，...，s _x ；x＝x ₁ ，x ₂ ，...，x _N ) Wherein s is the sub-network where the node to be identified is located, x is the ordinal number of the calculated force node, a _x ^s The x node in the s-th sub-network is represented, the front end is used for managing input parameters or initial state data obtained through searching, intermediate operation data generated in the analysis process, analysis process data, sub-term operation data and the like, analysis is carried out, and an identification coding parameter vector set is obtained according to any calculation force node and is stored.

(7) Identifying the coding module based on the three-dimensional view:

aiming at the global identification coding node, from the three-dimensional view of the root service layer, the analysis layer and the link relation layer, coding rules and algorithms corresponding to identification codes are given, different types of message standards of the root service layer or the analysis layer and the link relation layer are distinguished, and according to corresponding requirements and algorithms and corresponding calculation formulas, algorithms and coding rules, the following modules are respectively transferred:

the root service layer identifies the segment encoding module: the method is used for giving the meaning and coding method of the standard identification section information of the fixed message according to the meaning of the standard identification section information of the formatted message, and comprises meaning and coding method of the identification section information of the root server, meaning and coding method of the identification section information of the position information, the identification section information of the label information of the server, and the like, meaning and coding method of the identification section information of the transmission function information, meaning and coding method of the identification section information of the communication protocol.

The "parsing layer" identifies the segment encoding module: the identification code mapping method based on the analysis layer aims at the dynamic variable information identification codes and the like, and the relation between the node calculation force characteristics and the identification codes is established through projection mapping and is characterized by corresponding a measure value or a measure vector. For example, the dynamic variable information identification code is a different analysis method such as a projection analysis method, a behavior information identification code analysis method, an object classification information identification code analysis method, a security encryption information identification code analysis method, and a transmission characteristic identification code analysis method.

The "link relation layer" identifies the segment encoding module: the label coding method and system design based on the link relation layer comprises a mixed power equipment 'relation state' classification method and a label coding, a mixed power network 'relation state' node label coding and other message standard analysis methods.

(8) The node identification code distribution module for the network is planned to be accessed:

the method is used for obtaining the identification coding message standards of the full-network computing power nodes in different fields based on the three-dimensional view, determining the full-network computing power node identification codes according to the component formats in the vectors, distributing the fixed positions of the component vectors to the identification coding message standards of the different fields, and forming the computing power node identification coding message standards under the full-network unified identification codes:

Assuming that the hybrid power network has any i power nodes, the identification code has n fields, and the identification code message standard can be expressed as a vector (x _i1 ，x _i2 ，...，x _in), wherein ,x_ij Is the ith computing node and the jth identifies the message standard of the code field.

(9) The node identification code storage module for the network access comprises:

the information persistence of the user registration information and the authorization information is supported, the acquired computing node information and the processed information are stored in the storage module, so that data loss and repeated calculation are avoided, and centralized storage and distributed storage can be selected according to the size of the data volume and the scale of the computing cluster.

(10) And the back-end management module of the parameters of the network node is simulated:

the method is used for cooperating with the operation of the front-end user to cooperatively finish the registration of the computing node and the authorization management of the node, and is communicated with the storage module to perform the synchronous operation of related data, thereby achieving the back-end management function.

Therefore, in order to realize the network access identification setting of the calculation force nodes in the mixed calculation force network, the method adopts an implementation form of integrating multiple types of identification field codes from the perspective of three-dimensional view such as root service layer identification codes, analysis layer codes, link relation layer codes and the like, and the architecture is based on a quantum electronic mixed calculation force network identification system, so that the identification codes based on the quantum electronic mixed calculation force nodes are completed. The corresponding technical effects are as follows:

(1) The root service layer identification coding field integrates three types of information, namely a formatting information standard, a transmission characteristic information standard and a communication protocol information standard, into an identification coding character segment after coding, and highlights that the root service layer identification coding takes the identification coding information standard at the bottommost layer of the hierarchical structure as the root service layer identification field, describes the technical characteristics of the identification coding information standard of the common information of all network computing nodes, and provides basic conditions for the subsequent 'constraint condition' searched by the computing nodes and the technical realization of the global optimization scheduling of the computing nodes.

(2) The identification code field of the analysis layer establishes a code mapping relation, the conversion of the message standard from qualitative to quantitative is completed, the analysis rule is identified by the framework of the projection of the cloud of the analysis layer, the field conforming to the attribute is taken as the identification field of the identification code message standard of the analysis layer by the final measurement value after the projection of the cloud mapping, and the identification code field is integrated into the identification code character segment after the coding, so that the uniqueness, the exclusivity and the standardization of the identification code are realized in technical effect.

(3) The link relation layer identification coding field establishes an identification coding rule of a distributed architecture, classifies according to the functional tasks of the calculation force nodes, not only distinguishes target tasks, but also finds out the relation of the relation, namely, the identification coding information of the terminal equipment of the mixed calculation force network, is based on the distributed topological structure of the calculation force network, the internal demand relation among the calculation force nodes is technically realized by describing the identification coding information standard, coding is firstly carried out, then the identification coding information is integrated into an identification coding character section, quantitative measurement of the calculation force node identification of the mixed calculation force network is realized, and the vivid characteristics of the quantum electronic mixed calculation force network are highlighted.

The embodiment of the application provides a quantum electronic mixing force network identification device based on a three-dimensional view.

Referring to fig. 4, fig. 4 is a schematic structural diagram of a quantum electronic mixing force network identifier device based on a "three-dimensional view", where the quantum electronic mixing force network identifier device based on the "three-dimensional view" may include:

the acquisition module 1 is used for determining a target computing power node, acquiring parameter information of the target computing power node according to a preset parameter type, wherein the preset parameter type comprises a root service layer parameter, an analysis layer parameter and a link relation layer parameter;

the coding module 2 is used for determining a coding rule corresponding to the preset parameter type, and coding the corresponding parameter information according to the coding rule to obtain each coding field;

and the integration module 3 is used for integrating the coding fields to obtain the identification codes of the target power calculation nodes.

Therefore, the quantum electronic mixed computing power network identification device based on the three-dimensional view provided by the embodiment of the application provides an identification coding technology under the three-dimensional view comprising a root service layer, an analysis layer and a link relation layer from the top layer design of the computing power network identification and the demand of identification characteristics, different parameter types correspond to different coding rules, the identification coding of each computing power node in the quantum electronic mixed computing power network is realized, more flexible and convenient node management is further realized, and the safety, reliability and scientificity of the identification coding in the quantum electronic mixed computing power network are improved.

In one embodiment of the present application, when the preset parameter type is a root service layer parameter, the encoding module 2 may be specifically configured to identify all root service layer parameters by using the HSIC model, and determine a dynamic parameter and a static parameter; for each static parameter, obtaining a static parameter value through parameter value extraction, and taking the static parameter value as a coding field; for each dynamic parameter, obtaining a dynamic parameter value through parameter extraction, determining a mapping value corresponding to the dynamic parameter value according to a first mapping relation, and taking the mapping value as a coding field; the first mapping relation is a mapping relation between each dynamic parameter value and each mapping value.

In one embodiment of the present application, the resolution layer parameters include dynamic parameters in the root service layer parameters; wherein, each dynamic parameter is obtained by identifying in all root service layer parameters through an HSIC model.

In one embodiment of the present application, when the preset parameter type is an parsing layer parameter, the encoding module 2 may be specifically configured to obtain, for parameter information of each parsing layer parameter, a dynamic parameter value through parameter extraction; determining a mapping value corresponding to the dynamic parameter value according to the first mapping relation; the first mapping relation is the mapping relation between each dynamic parameter value and each mapping value; the mapping value is taken as an encoding field.

when the target computing force node is a quantum computing force node and the associated computing force node is a quantum computing force node, the entropy value parameter is computing force entanglement entropy;

when the target computing force node is an electronic computing force node and the associated computing force node is an electronic computing force node, the entropy value parameter is computing force associated entropy;

when the target computing force node is a quantum computing force node and the associated computing force node is an electronic computing force node, or when the target computing force node is an electronic computing force node and the associated computing force node is a quantum computing force node, the entropy value parameter is the computing force relative entropy.

In one embodiment of the present application, when the preset parameter type is a link relation layer parameter, the encoding module 2 may be specifically configured to determine, for parameter information of each link relation layer parameter, a corresponding entropy parameter; determining a computing power capability measure value corresponding to the entropy value parameter according to the second mapping relation; the second mapping relation is the mapping relation between each entropy value parameter and each computing power capability measure value; the capability measure value is taken as the code field.

For the description of the apparatus provided in the embodiment of the present application, reference is made to the above method embodiment, and the description is omitted herein.

The embodiment of the application provides electronic equipment.

Referring to fig. 5, fig. 5 is a schematic structural diagram of an electronic device provided in the present application, where the electronic device may include:

a memory for storing a computer program;

a processor for implementing the steps of any of the quantum electronic hybrid force network identification methods based on a "three-dimensional view" described above when executing a computer program.

As shown in fig. 5, which is a schematic diagram of a composition structure of an electronic device, the electronic device may include: a processor 10, a memory 11, a communication interface 12 and a communication bus 13. The processor 10, the memory 11 and the communication interface 12 all complete communication with each other through a communication bus 13.

In the present embodiment, the processor 10 may be a central processing unit (Central Processing Unit, CPU), an asic, a dsp, a field programmable gate array, or other programmable logic device, etc.

The processor 10 may invoke a program stored in the memory 11, in particular, the processor 10 may perform operations in an embodiment of a quantum electronic hybrid power network identification method based on a "three-dimensional view".

The memory 11 is used for storing one or more programs, and the programs may include program codes, where the program codes include computer operation instructions, and in this embodiment, at least the programs for implementing the following functions are stored in the memory 11:

determining a coding rule corresponding to a preset parameter type, and coding corresponding parameter information according to the coding rule to obtain each coding field;

and integrating all the coding fields to obtain the identification codes of the target computing nodes.

In one possible implementation, the memory 11 may include a storage program area and a storage data area, where the storage program area may store an operating system, and at least one application program required for functions, etc.; the storage data area may store data created during use.

In addition, the memory 11 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device or other volatile solid-state storage device.

The communication interface 12 may be an interface of a communication module for interfacing with other devices or systems.

Of course, it should be noted that the structure shown in fig. 5 is not limited to the electronic device in the embodiment of the present application, and the electronic device may include more or fewer components than those shown in fig. 5 or may combine some components in practical applications.

Embodiments of the present application provide a computer-readable storage medium.

The computer readable storage medium provided by the embodiments of the present application stores a computer program, where the computer program when executed by a processor can implement any one of the steps of the quantum electronic hybrid power network identification method based on a "three-dimensional view" described above.

The computer readable storage medium may include: a network card, a usb disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.

For the introduction of the computer readable storage medium provided in the embodiments of the present application, reference is made to the above method embodiments, and the description is omitted herein.

In the description, each embodiment is described in a progressive manner, and each embodiment is mainly described by the differences from other embodiments, so that the same similar parts among the embodiments are mutually referred. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.

Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative elements and steps are described above generally in terms of functionality in order to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. The software modules may be disposed in Random Access Memory (RAM), memory, read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

The technical scheme provided by the application is described in detail. Specific examples are set forth herein to illustrate the principles and embodiments of the present application, and the description of the examples above is only intended to assist in understanding the methods of the present application and their core ideas. It should be noted that it would be obvious to those skilled in the art that various improvements and modifications can be made to the present application without departing from the principles of the present application, and such improvements and modifications fall within the scope of the present application.

Claims

1. A quantum electronic hybrid network identification method, the method comprising:

2. The method of claim 1, wherein the root service layer parameters include a formatting information parameter, a transport function information parameter, a security protocol information parameter; wherein,

3. The method of claim 2, wherein when the preset parameter type is the root service layer parameter, the encoding the corresponding parameter information according to the encoding rule to obtain each encoding field includes:

identifying all the root service layer parameters by using an HSIC model, and determining dynamic parameters and static parameters;

4. The method of claim 1, wherein the resolution layer parameters comprise dynamic parameters in the root service layer parameters; wherein,

5. The method of claim 4, wherein when the preset parameter type is the parsing layer parameter, the encoding the corresponding parameter information according to the encoding rule to obtain each encoding field includes:

determining a mapping value corresponding to the dynamic parameter value according to a first mapping relation; the first mapping relation is the mapping relation between each dynamic parameter value and each mapping value

And taking the mapping value as an encoding field.

6. The method of claim 1, wherein the link-relationship layer parameters include entropy parameters between the target computing node and associated computing nodes; wherein,

7. The method of claim 6, wherein when the preset parameter type is the link relation layer parameter, the encoding the corresponding parameter information according to the encoding rule to obtain each encoding field includes:

determining a computing power capability measure value corresponding to the entropy value parameter according to a second mapping relation; the second mapping relation is the mapping relation between each entropy value parameter and each computing power capability measure value;

the capability measure value is taken as an encoded field.

8. A quantum electronic hybrid network identification device, the device comprising:

9. An electronic device, comprising:

a memory for storing a computer program;

a processor for implementing the steps of the quantum electronic hybrid network identification method of any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium, characterized in that it has stored thereon a computer program which, when executed by a processor, implements the steps of the quantum electronic hybrid network identification method according to any of claims 1 to 7.