CN102638525A - Intelligent integrated system computing technology basis for global value chain planning configuration - Google Patents

Abstract

The invention discloses an intelligent integrated system computing technology basis for global value chain planning configuration. The intelligent integrated system computing technology basis is a novel technology which is established by establishing a basic model, a normal form and an equation system of network configuration dynamics and a basic model, a normal form and an equation system of game organization synergetics, taking connection and collaboration which are performed through a cognition system and a practice system based on a computer aided system and the Internet as principal lines of an evolution progress of a high-class intelligent integrated system (HIIS), and taking an Internet user as a center as well as further taking a multi-layer global value chain (GVC) as a center so as to improve 'cloud' computing into a universal CS/HSN(GII) under the condition of establishing a brand new logic basis, a brand new math basis and a brand new scientific basis.

Description

Computing technology foundation of global value chain planning configuration intelligent integrated system

Technical Field

The invention is the 398 th patent cluster (the general name is 'the global value chain network technology support system [ DCN/IIL (VCSE);') which is formally submitted to the national patent office through an electronic system in 9 months 2011 by the applicant of Lizong Cheng.

The invention and the invention patent cluster (the general name is "global value chain network technology support system [ DCN/IIL (VCSE)") together form the invention patent cluster "global value chain planning configuration information and communication technology support system (ICT-PAM/[ GVC ])" (the general name is "global value chain network technology support system [ DCN/IIL (VCSE)" ] ", the terms 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 394, 393, 395, 396, 397, 399 and 400).

The applicant proposes a "global value chain network technology support system [ DCN/iil (vcse) ] consisting of 600 patents, including the present invention; "its general goal lies in, regard global value chain system (GVC) as the core, take the connection and coordination that natural intelligence and artificial intelligence carry on the basis of computer and its network as the main line of the General Intelligent Integrated System (GIIS) staging process, set up brand-new logic foundation, mathematics foundation, scientific foundation and brand-new technological foundation and engineering foundation, for relatively closed, relatively static" resource pool "-cloud computing network injects soul, intelligence and life, set up the integrated collaborative network computer system of global intelligence (CS/HSN (GII)), make the global Internet get the technological support system with life and ecological holographic collaborative organization property really. On the basis, a global value chain system (GVC) is taken as a core, connection and coordination of a cognitive system and a practice system based on a computer aided system and the Internet are taken as a main line of an evolution process of a high-grade intelligent integrated system (HIIS), an intelligent integrated scientific technology system (IIS & IIT) based on a completely new scientific theory of a meta-system (MS) is established, a novel global Internet endowed with life vitality is integrated with a logistics network, an energy network, a financial network and a knowledge network which are distributed in all the fields around the world, the global value chain system engineering is vigorously pursued, and a global intelligent integrated dynamic convergent network system (DCN/HII) (GVC) with the real life and ecological holographic synergetic organization property is established, so that an intelligent integrated network, a life Internet and an ecological operation network are built. By implementing a global value chain system engineering technology cluster to develop a general strategy, namely the Licheng is called as a 'open the world' plan, the inventor transforms a neglectable 'cloud' computing system into a 'heaven and earth' computing system which can be communicated with everything and is communicated with longitude and latitude.

The invention mainly aims to provide a computing technology basis for a global value chain planning and configuration intelligent integrated system through a brand-new logic basis, a mathematic basis, a scientific basis, a brand-new technical basis and a public system basis.

All mathematical models referred to in the specification are basically independently established in the inventor's Lizhong, and have original innovativeness.

The invention belongs to the field of network technical support facing global value chain planning configuration, planning organization and planning management (PA/GVC), is an intelligent integrated technical foundation facing a global value chain and further facing a global value chain planning configuration system, and is a key for guiding people, organizations and organizations from ever-variable 'cloud' (computing system) to 'heaven and earth' (brand-new computing system) converging everything.

PA/GVC is a solution of global value chain system engineering, which introduces the service strategy and operation mode of global value chain into the whole global value chain planning and configuration internal and external association system using information system as backbone by means of new information technology and network technology, it is not only the technology change, but also the comprehensive integration and configuration of all the related processes of personnel, fund, logistics, manufacturing and global value chain organization across regions or countries.

The PA/GVC is global value chain configuration software integrating material resource configuration (logistics), human resource configuration (human flow), capital resource configuration (financial flow) and information resource configuration (information flow) aiming at the internal and external association of global value chain planning configuration. And describing next-generation longitudinal association departments, transverse association departments and Value Resource Planning (VRP) software by DIM analysis of a rule designer, a system integrator and a module generator which are oriented to the internal and external associations of the global value chain planning configuration and SHF analysis of final consumers, social regulation mechanisms and relatives at home and abroad which are oriented to the internal and external associations of the global value chain planning configuration. It will contain the global value chain planning configuration internal and external associated user/service system architecture, using graphical user interface, application open system production. In addition to the existing standard functions, it also includes other characteristics, such as the quality of the global value chain planning configuration internal and external associations, the process operation configuration, and the adjustment report of the global value chain planning configuration internal and external associations. In particular, the underlying technology employed by the PA/GVC will provide global value chain planning with both internal and external associated independence of both user software and hardware for easier upgrade. The key to PA/GVC is that all users associated inside and outside the global value chain planning configuration can tailor their applications and thus have natural ease of use.

Background

In recent years, the integration of three networks in the ICT industry and the cloud computing network technology have been greatly promoted in China and abroad. Grids attempt to achieve a comprehensive sharing of resources on the internet, including information resources, data resources, computing resources, software resources, and the like.

However, at present, the fusion of three networks in the ICT industry is in danger of losing life, the innovativeness of the cloud computing technology is seriously insufficient, the application of the cloud computing is limited, and the development of the cloud computing system is in an embarrassing situation of being hot and cold in industry. With the rapid development of computer technology and network technology, financial innovation and increasing financial risk, market competition is further aggravated, the competition space and range of the global value chain are further expanded, and the integration of global economy is continuously promoted. The twenty-first 90 s are mainly oriented to the idea of overall allocation of resources in the global value chain, and then gradually develop into an allocation idea how to effectively utilize and allocate the whole resources. In this situation, Lizong first proposed a concept report of PA/GVC.

On the basis of establishing a connecting set based on an intelligent integrated economy multi-attribute measurement space, a connecting operator based on an intelligent integrated economy multi-rule measurement matrix, a connecting relation based on intelligent integrated economy multi-factor variable-weight synthesis and a connecting function based on an intelligent integrated economy manifold system, the inventor provides a brand new network system, namely a global dynamic connecting network, which takes an information network as a platform and integrates a logistics network, a knowledge network and a financial network into a whole; further, a brand-new computing system including cloud computing and grid computing, namely a 'heaven and earth' computing mode facing knowledge resource allocation, physical resource allocation and financial resource allocation, is developed and established; further, a new operating system, namely a holographic cooperative operating system (OS/HSO), which is a new operating system that is integrated with various cognitive operations and practical operations by using a computer operating system and an Internet operating system as keys, is developed and established.

The invention provides a global value chain dynamic convergence network system DCN/IIL (VCSE), which is a global open network system which integrates a logistics network (MN), an energy flow network (EN), an Information Network (IN), a Financial Network (FN) and a Knowledge Network (KN) into a whole and provides comprehensive integrated service IN the whole field, the whole system and the whole process, wherein the global Value Chain System (VCS) is from a product value chain PVC (PVC) and a global value chain GVC, to an industrial value chain IVC and a regional value chain RVC, to a national value chain NVC and a global value chain GVC) as a core, and the three networks of a telecommunication network (MCN), a computer network (WWW) and a Broadcast Television Network (BTN) are integrated into a main technical support.

The invention provides a global dynamic convergence network to be developed and established and a world computing and holographic cooperative operation System (OS/HSO for short), which is a complete complex System. The heaven and earth computing aims to integrate a plurality of relatively low-cost computing entities into a complete intelligent integrated system with strong computing power through a logistics, knowledge and financial total-convergence network supported by an information network, and distribute the strong computing power to external and internal terminal users of the information network by means of brand-new business modes such as SaaS/HSO, PaaS/HSO, IaaS/HSO, MSP/HSO and the like inside and outside the information network.

The concept of global dynamic convergence network computing can be regarded as an application mode which integrates and interpenetrates a logistics network, a knowledge network and a financial network by taking an information network as a platform. Global dynamic convergence network computing is not only oriented to computers and information networks, but also to logistics networks, knowledge networks, and financial networks. The intelligent integrated system tries to surpass information calculation and information network calculation, and tightly links the information calculation and the information network calculation with the collection, the penetration and the operation of a logistics network, a knowledge network and a financial network, thereby realizing intelligent integration.

As the basis of the invention, the brand-new logic basis comprises holographic convergent logic, bipolar convergent logic and bipolar holographic convergent logic; the brand new mathematics foundation comprises holographic convergent mathematics, dipolar convergent mathematics and system transition analytical mathematics; the brand new scientific basis comprises resource allocation dynamics, holographic organization synergetics, a system efficacy value theory, game organization synergetics, hedging balance economics, holographic confluent physics and through science (cross science and transverse science) formed by the large synthesis of a series of brand new theories, namely element system science and intelligent integration science; the brand new technology base is a brand new system technology (cluster) taking a value chain system as a core and oriented to holographic cooperativity; the brand new engineering foundation is brand new system engineering (cluster) taking a value chain system as a core and oriented to holographic cooperativity.

Disclosure of Invention

(1) For a global value chain, the inventor establishes a brand-new logic foundation, a brand-new mathematical foundation, a brand-new scientific foundation, a brand-new technical foundation and a brand-new engineering foundation independently, in order to transform a neglected and indefinite 'cloud' computing system into a 'heaven-earth' computing system which can link everything and run through longitude and latitude, the inventor insists on taking a global value chain system as a core, and establishes a basic principle, a mathematical foundation and an overall design framework for planning and configuring 'heaven-earth' computing by taking the connection and coordination of a GVC cognitive system (RS and a computer aided system thereof) and a GVC practice system (PS and a computer aided system thereof) as a principal line of an evolution process of a high-level intelligent integrated system (HIIS).

(1.1) the inventor proposes a planning and configuration Heaven and Earth calculation (Heaven-Earth Computing of PA) to be developed and established, takes a global value chain as a core, takes intelligent integration as a key, and is established on the brand-new basis of logic, mathematics and science as well as the brand-new basis of technology and engineering.

As an important aspect of planning and configuring world-to-earth computation, the global value chain oriented GVC planning and configuring world-to-earth computation is the development of global value chain internal Distributed processing (Distributed Computing), Parallel processing (Parallel Computing), Grid Computing (Grid Computing) and Cloud Computing (Cloud Computing), or is a commercial implementation of these computer science concepts; and then the development of measurement analysis, accounting analysis and accounting technology in various business activity fields outside the global value chain or the network integration of measurement science, statistical theory and accounting.

The basic principles of planning configuration heaven and earth computation can be summarized as follows:

by taking a global value chain as a core, the operation of various configuration centers (a physical resource configuration center, a knowledge resource configuration center and a value resource configuration center related to an information resource configuration center) outside the global value chain enters a holographic collaborative organization process by distributing computer computing on a large number of distributed computers instead of a local computer or a remote server. Therefore, various enterprises inside and outside the global value chain planning configuration can switch resources to required applications and access the internal and external operation systems and the storage systems of the information network according to requirements.

The application of heaven-earth computation of the GVC planning configuration incorporates the idea of combining forces for use by each member outside and within the global value chain planning configuration.

Judging whether a certain calculation mode is three standards for planning configuration heaven and earth calculation:

as the public, there is a need to identify which are true and which are false. For this reason, the inventor proposes three reference standards for determining whether a certain calculation mode is a planning configuration heaven-earth calculation, which are referred to by people:

a1, global value chain planning and configuration, wherein a value chain is taken as a core, and various resources (not limited to information resources) required by internal and external users come from a dynamic convergent network system formed by the integration of three networks of logistics, knowledge and finance under the support of an information network.

The basic idea of GVC planning configuration heaven-earth calculation is that a dynamic communication network system formed by the integration of three networks of logistics, knowledge and finance is supported by an information network, and internal and external calculation power, a storage space, a software function, global value chain planning configuration internal and external services and the like required by a user are provided.

A2, global value chain planning configuration takes a value chain as a core, and internal and external service capacity has the extension and contraction capacity of minute level or second level.

If the service capability of the global value chain planning configuration internal and external resource nodes is not enough, but the flow of the dynamic convergence network system is increased once, the platform is required to automatically and dynamically increase the number of the global value chain planning configuration internal and external service nodes within a minute and a few minutes, and the number is expanded from 10000 nodes to 15000 nodes. As the technical basis of the most advanced intelligent integrated dynamic convergence network, planning configuration is carried out on the basis of the heaven and earth calculation, and sufficient resources inside and outside the global value chain planning configuration are required to deal with the peak flow of the dynamic convergence network system, even though a hotspot of 'Olympic horse' suddenly appears. After a period, the network system flow is dynamically converged, and the number of external service nodes in global value chain planning configuration is reduced along with the reduction of the flow. The problem is that dynamic rendezvous network architecture traffic is unpredictable and impossible to wait as long.

A3 global value chain planning configuration with value chain as core and cost performance advantage several times higher than that of traditional mode

The planning and configuration heaven and earth calculation becomes an epoch-making technology, namely, on one hand, a huge number of cheap computers are placed in the ocean of external resources inside and outside the global value chain planning and configuration, the internal hardware cost of the global value chain is reduced by software fault tolerance, the internal facilities of the global value chain which are planned and configured heaven and earth calculation are deployed in cold areas and areas rich in power resources to save the power cost, and the resource utilization rate is improved by large-scale sharing; on the other hand, various residents, manufacturers, organizations and organizations with huge numbers are placed in the oceans for planning and configuring the global value chain, software fault tolerance is used for reducing the cost of external hardware of the global value chain, the global value chain external facilities calculated by planning and configuring the heaven and earth are deployed in low-cost and low-consumption areas to save the operation cost, and the resource utilization rate is improved through large-scale sharing.

(1.2) GVC planning configures the main service forms of heaven-earth computation:

A1. SAAS/HSO [ GVC ] (global value chain planning configuration internal and external software as a service)

SAAS/HSO GVC (global value chain planning configuration internal and external software as a service) is an improvement and expansion of SAAS

This type of planning configuration calculates the day-to-day delivery of programs to thousands of users via external browsers within a global value chain planning configuration. In view of the external users inside and outside the global value chain planning configuration, the expenditure on the external servers and software authorization inside and outside the global value chain planning configuration can be saved; from a global value chain planning configuration perspective, it is sufficient to maintain only one program, which can reduce costs. SAAS/HSO will become a more common form in human resource management programs and ERP.

A2. Global value chain planning configuration internal and external Utility Computing (Utility Computing/HSO [ GVC ])

Global value chain planning configuration internal and external Utility Computing (Utility Computing/HSO [ GVC ]) is an improvement and extension of Utility Computing (Utility Computing).

The planning and configuration heaven-earth calculation is to configure various resource configuration centers inside and outside the global value chain planning and configuration, so that the global value chain planning and configuration inside and outside storage, I/O equipment and global value chain planning and configuration inside and outside calculation capacity can be integrated into an information network inside and outside resource sea to provide service for the whole dynamic convergence network.

A3. Global value chain planning configuration of internal and external services

Global value chain planning configuration internal and external services are improvements and expansions of global value chain services.

Closely related to SAAS/HSO [ GVC ], external service providers in global value chain planning configurations can provide APIs that allow developers to develop more dynamic-based applications than just global value chain internal programs.

A4. Global value chain planning configuration internal and external platform as a service

The global value chain planning configuration internal and external platforms, namely services, is the improvement and the expansion of the platforms, namely the services.

This is another SAAS/HSO [ GVC ], and this form of planning configuration is provided as a service by the global value chain planning configuration and external development environment. You can use the intermediary's equipment to develop their own global value chain planning configuration internal and external programs and pass them to the user's hands through the dynamic converged network and its server.

A5. MSP/HSO [ GVC ] (Global value chain planning configuration internal and external management service provider)

MSP/HSO [ GVC ] (Global value chain planning configuration internal and external management service providers) is an improvement and extension of MSP (management service provider).

The application is more oriented to global value chain planning and configuration internal and external management service providers than end users, and can be used for global value chain planning and configuration internal and external input scanning, program monitoring and the like.

A6. Global value chain planning configuration internal and external business service platform

External business service platforms in global value chain planning configuration are improvements and expansions of the business service platforms.

The mixed application of SAAS/HSO [ GVC ] and MSP/HSO [ GVC ], the planning configuration of the type is calculated by nature to provide a platform for interaction between external users and providers in the global value chain planning configuration. Such as global value chain planning, to configure internal and external subscriber personal expense management systems that can manage their expenses and coordinate the various services to which they subscribe, depending on the subscriber's settings.

A7. Global value chain planning configuration internal and external integration

External integration within global value chain planning configurations is an improvement and expansion of internet integration.

Companies providing similar services on dynamic convergent networks are integrated so that external users can more conveniently compare and select their service providers within a global value chain planning configuration.

(1.3) brief example of mathematical description formed by intelligent integration technology: mathematical description of the global value chain "man-machine-interface" composition.

In the global value chain "man-machine" interface, a measurement terminal typically includes: visual terminals (such as display screens, dials and the like), auditory terminals (such as loudspeakers, buzzers and the like) and tactile terminals (such as switches, knobs, rotating handles, rotating wheels and the like on the appearance of the machine). They deliver information of machines and objects to people through different channels in different ways. Since each measuring terminal mainly provides perception and information for people in the interface and is a time-varying system, other characteristics of the measuring terminal can be abandoned, and the characteristic vector matrix representation is most suitable for the measuring terminal to identify.

The PA/GVC to be vigorously developed and established is information integration oriented to global Value Chain Planning Operation (Planning Operation of Enterprise Value Chain), and the PA/IVC is information integration oriented to Supply and demand Chain Planning Operation (Planning Operation of Supply Chain). In addition to the manufacturing, marketing, financial project functions and various support systems and technologies of the PA/IVC system, the PA/GVC combines longitudinally and transversely related products, projects and fields in the global value chain, and has a series of brand new technologies as follows:

global value chain planning configuration meta-system analysis technology-MS (OP [ GVC ]) analysis technology

Global value chain planning configuration basic unit analysis technology-BM/RD (global volume network/record) GVC (global cost chain planning configuration) analysis technology

Analysis technology of global value chain planning configuration dynamic system-DS/RD GVC analysis technology

Power effect comparison dominance analysis technology for global value chain planning configuration system

Analysis technique of CA/SDE [ GVC ]

Global value chain planning configuration game organization synergetics analysis technology (I) -GOS [ GVC ] analysis technology

Global value chain planning configuration production function analysis technology-PF (particle Filter GVC) analysis technology

FV (FV GVC) analysis technology as global value chain planning configuration system efficacy value analysis technology

Balanced economics analysis technology for global value chain planning configuration hedging

Analysis of the impact of the efficacy chain and the financing chain (V-F [ GVC ])

Global value chain planning configuration whole network hedging balance table analysis technology-NA/V-F (DC GVC) technology

Global value chain planning configuration game organization synergetics analysis technology (II)

-GOS (DC [ GVC ]) analysis paradigm

IIM (IIM GVC) analysis design technology as main body analysis design technology for global value chain planning configuration

IIC GVC analysis design technique-global value chain planning configuration load analysis design technique

IIW GVC analysis design technique as global value chain planning configuration mode analysis design technique

IIS (IIS GVC) analysis design technology, which is global value chain planning configuration system analysis design technology

IIE (International information exchange) (GVC) analysis design technology as global value chain planning configuration environment analysis design technology

IISE GVC analysis design technique as engineering analysis design technique of global value chain planning and configuration system

Engineering technology for global value chain planning and configuration social just system-SFS [ GVC ] analysis technology

Global value chain planning configuration intelligent integrated heaven and earth computing mode-GIICM GVC,

Global value chain planning configuration intelligent integrated brand new operating system-GIIOS (GVC)

Global value chain planning configuration intelligent integrated dynamic convergence network-GIIN (GVC) technical system

The steering controller is mainly used for transmitting control information of a robot to the robot in a global value chain 'man-machine' interface. The form and the number are many, and the operation parts can be divided into: manual and foot-operated; according to its function can be divided into: switches, converters, regulators and emergency brakes; and may be divided by other properties. We describe mathematically in terms of its representative and well described functional partitioning. For a steering controller, we are concerned with the problem of matching it to the human output and therefore generally describe it in terms of a transfer function.

Of interest to a human's sensory organs (eye, ear, body, etc.) is its volume of sensory information per unit time. In the action organs of human body, namely nerve and muscle parts, the accuracy and the high efficiency of the action are concerned. A more comprehensive linear model is taken as the mathematical description of the global value chain perception-action system as follows:

in addition to the elements of an object and its system, global value chain planning and configuration technology can also be constituted by people and their organizations. The latter may be referred to as a global value chain planning configuration technology organization or an intelligent integration technician. The functions and roles of intelligent integration technicians or organizations mainly include: consulting and consultant of decisions; receiving and transmitting information; executing and guaranteeing tasks; training and coaching members; horizontal verification and verification; external public relations and recommendations; coordination and specification of behaviors.

The global value chain planning and configuration technology organization comprises a consultation technology organization, an information technology organization, a guarantee technology organization, a communication technology organization, an agent technology organization, a training technology organization, a verification technology organization, a coordination technology organization, an evaluation technology organization and the like.

A hierarchical decomposition mathematical model based on structure and behavior of a global value chain planning configuration technology is provided. Is provided withWRepresent global value chain planning configuration technique, pairWAfter hierarchical decomposition is carried out according to the structure and the function,Wcan be structurally represented as a hierarchical set

( 2. 25 )

Wherein _iW ( i= 1, 2, …, n) isWThe sub-technique of (1).

Global value chain planning and configuration technologyWHierarchical directed graph with hierarchical decomposition by structure and functionBIs defined as a doublet

B = ( V，D ) ( 2. 26 )

Wherein

In order to be a set of nodes, the node sets,D = W ×Wis a set of directed edges connecting nodes.

ByBJoining moment ofMatrix ofACan calculateWReachability matrix ofE. A set of preceding nodes (accumulator set) and a set of succeeding nodes (descnd set)

Is thatBMiddle node setVThe above two functions are respectively defined as follows:

( 2. 27 )

( 2. 28 )

using reachability matricesE，BMiddle node setVCan be decomposed intornLevel of hierarchyV _l ，V ₂ ，…， _n VWherein

Here, them ( ≤ n ) Is to make

Is a positive integer of (1). This is called a hierarchy (1 ev-structure).

This hierarchy can be explained as follows: global valueChain planning configuration techniqueWEach sub-technique in _j WCan be regarded as one analysis object, and the analysis object _j WBelonging to only one object class _k VI.e. by _j W∈ _K VIt is an object class _k VHierarchy of classes (hierarchy directed graph)B) One element in the part, and each analysis object _j WThrough hierarchical decomposition relationship (connection matrix relationship)A ）NClassification hierarchy structure relationship (reachability matrix relationship)E) Are organically related.

Generalized technique with single nodeWForming the first level of a hierarchical decomposition model, and a hierarchical directed graphBAnd forming a second level of the global value chain planning configuration technology hierarchical decomposition model. On the basis, according to the hierarchical decomposition model, each sub-technology is continuously subjected to hierarchical decomposition according to the structure and the function to obtain the corresponding sub-technologynHierarchical directed graph

( 2. 29 )

This is achieved bynSet of hierarchical directed graphs _j BThe section constitutes the third hierarchical level of the hierarchical decomposition model. Hierarchical directed graphBCalled an independent structure (independent structure) at the third level of the hierarchical decomposition model, whose elements are called structural elements.

The holographic generalization mathematical balance analysis framework system established by the inventor mainly comprises: a holographic generalization mathematical balance analysis method framework of the meta-system science; a framework of a global convergent trade-off analysis method of a meta-system science; a holographic confluent category balance analysis method framework of a meta-system science. The basic contents of the framework system comprise: a global value chain planning configuration and total convergence balance set; selecting a balance operator of multiple targets and total convergence; the balance relationship between complexity evaluation and total throughput; a group decision system and total throughput trade-off mapping; incomplete information and total commute tradeoff rules; heuristic reduction and total confliction balance system; a global value chain intelligent algebra and total commute balance function; a total smooth thinking and total smooth balance model; all-exchange proposition and all-exchange balance logic; the concept of all-kind of connections and the balanced category of all-kind of connections.

(2) For a global value chain, the inventor establishes a brand new logic foundation, a brand new mathematical foundation, a brand new scientific foundation, a brand new technical foundation and a brand new engineering foundation independently, in order to transform a neglected and indefinite 'cloud' computing system into a 'heaven-earth' computing system which can link all things and runs through longitude and latitude, the inventor insists on taking a global value chain system as a core, and establishes a logic foundation and a mathematical foundation, namely a holographic universal serial bus (HIIS) system for planning and configuring 'heaven-earth' computing by taking the connection and coordination of a GVC cognitive system (RS and a computer aided system thereof) and a GVC practice system (PS and a computer aided system thereof) as a principal line of an evolution process of a high-level intelligent integrated system (HIIS).

(2.1) optimizing the multi-stage path of global value chain planning configuration process based on the following principle of R. Bellman^[275] ：

The optimal strategy as a whole process has the property that: regardless of past states and decisions, the remaining decisions must constitute the optimal strategy for the state formed by the previous decision.

By using the principle, the solving process of the multi-stage path optimization problem in the global value chain planning and configuring process can be regarded as a continuous recursion process, and the solution process is calculated from back to front step by step. In the process of solving, the state and the decision in front of each state are just equivalent to the initial conditions of the sub-problems behind the state and the decision, and do not influence the optimal strategy of the following process. For example, for a global value chain planning configuration process multi-stage path network, at each stage of the solution, a multi-stage path network can be utilizedkStages andkthe relationship between + 1 phases is as follows:

this recursive relationship may be referred to as an equation that practices multi-stage path optimization. This function equation is derived from Bellman's optimization principle.

The basic idea of multi-stage path optimization in the global value chain planning configuration process can be summarized as follows:

the key to the multi-stage path optimization lies in the application of the Bellman optimization principle, which is summarized as using a basic recurrence relation to make the process continuously transfer, and solving the problems, the solution should be performed in the reverse order, that is, the optimal path is searched from the terminal point to the starting point section by section.

The multi-stage path optimization in the global value chain planning configuration process can be regarded as the expansion of dynamic planning, and comprises the following steps:

path optimization (dynamic planning A) facing global value chain planning configuration organization;

path optimization (dynamic planning B) facing to the global value chain planning configuration object;

path optimization (dynamic planning C) facing the global value chain planning configuration technology;

path optimization for global value chain planning configuration environment (dynamic planning D):

if the phase number in the multi-phase path network in the global value chain planning configuration process is opposite to the phase number of the actual problem, the method for dynamically planning the optimization path can obtain a recursion relation as follows:

Grepresenting the terminal state.

If given the state variable of the first stage _k xIs the value of (c), then the decision variable of the segment _k uOnce determined, the firstk + 1 stage state variable _kx _{+ 1} The value of (c) is completely determined. _kx _{+ 1} Is dependent on _k xAnd _k usuch a correspondence relationship that changes in the change of the value of (A) is available

x _{k + 1} = _kT ( _k x, _k u)

Showing it. We may refer to the state transition equation.

If from _k xStarting from, there are

Thus, it is possible to obtain

And

this is the basic method of the reverse order solver.

For sequential solutions, if the number of segments is sequentialkAnd a state variable _k xIs not changed, but the variables are decided _k uIs defined as _k u=

_k xThen the general state transition equation does not consist of _k x、 _k uTo determine _kx _{+ 1} But is instead made of _kx _{+ 1} 、 _k uTo determine _k xI.e. the state transition equation is

x _k = T ^* _k ( _k x _{+ 1} , _k u)

For a given _k xAll alternatives are _ku _{– 1} The set is defined as being composed ofkSegment tok-1 set of allowed decisions of segments, withThe basic equation of the sequential solution thus available is expressed as

Wherein _kx _{– 1} = T ^* _{k – 1} ( _k x, _ku _{– 1})。

(2.2) the global value chain planning configuration network can be seen as a set consisting of a certain number (or variable number) of nodes and a certain number (or variable number) of chains.

We can divide the various networks into four levels as follows:

resource Network (RN): resource node (r n) -resource chain (r c) -resource set (rs)

Configuration network (DN): configuration node (dn) -configuration chain (dc) -configuration set (ds)

Organization Network (ON): tissue node (on) -tissue chain (oc) -tissue set (os)

Group Network (GN): group node (gn) -group chain (gc) -group set (gs)

The resource network can be written as: RN = RN (r n, r c, rs); configuring the network may be written as: DN = RN (DN, dc, ds); the organization network can be written as: ON = RN (ON, oc, os); the group network can be written as: GN = RN (GN, gc, gs).

From the aspect of status and role of resource allocation, in the resource convergence network CN, the resource allocation network can be divided into the following three types: main flow MF, support flow SF, auxiliary flow AF.

In general terms, the resource converging network CN can be divided into the following nine types:

CN [ MF ( IN ); SF ( RN ), AF ( MN ) ], CN [ MF ( IN ); SF ( MN ), AF ( RN ) ],

CN [ MF ( IN ); SF ( RN ), SF ( MN ) ]；

CN [ MF ( RN ); SF ( IN ), AF ( MN ) ], CN [ MF ( RN ); SF ( MN ), AF ( IN ) ],

CN [ MF ( RN ); SF ( IN ), SF ( MN ) ]；

CN [ MF ( MN ); SF ( IN ), AF ( RN ) ], CN [ MF ( MN ); SF ( RN ), AF ( IN ) ],

CN [ MF ( MN ); SF ( IN ), SF ( RN ) ]。

the comprehensive integrated mathematics two-pole convergence analysis framework system of the global value chain planning configuration system mainly comprises: a complex intelligent multi-attribute measure space analysis method framework; a complex intelligent full implication bipolar convergence set analysis method framework; the complex intelligent complete two-pole communication category analysis method framework. The basic contents of the framework system comprise: a multi-attribute measurement space and a two-pole convergence set; the multi-rule measurement matrix and the two-pole convergent operator; the multi-factor variable weight synthesis and the two poles are communicated; a multiple algebraic system and a two-pole convergent function; mapping a full entailment two-pole convergent set and two-pole convergent; fully expanding a bipolar connecting set and bipolar connecting transformation; heuristic reduction based on information fusion; a two-pole communication proposition and a two-pole communication logic formula; completely preparing a category system of concept and ambipolar communication; comprehensive analysis based on neural networks.

The global value chain planning and configuration system game organization synergetics new comprehensive analysis framework system mainly comprises: a two-level currency analysis method framework of a global value chain intelligent major system game rule synergetics; a global value chain intelligent big system game mode synergetics two-pole currency analysis method framework; a two-stage currency analysis method framework of a global value chain intelligent large system game organization synergetics. The basic contents of the framework system comprise: the game rule synergetics multi-mode two-pole convergent combined equation; game rule synergetics class random dipolar universal differential equation; a game rule synergetics class typical dipolar currency analysis foundation; the game rules cooperate with atypical two-pole currency analysis foundation; the game mode synergetics type statistics bipolar currency analysis foundation; the game mode synergetics can expand the two-level currency analysis foundation; the game organization synergetics can expand the two-level currency analysis model; two-level communication model in the game organization synergetics class migration process; two poles of the class life-killing process of the game organization synergetics are communicated with the model; two-level communication model of game organization synergetics class substitution process.

The global value chain planning and configuration system comprehensive integration mathematics new balance analysis framework system mainly comprises: a complex intelligent multi-attribute space balance analysis method framework; a complex intelligent full implication set balance analysis method framework; a complex intelligent fully-complete category balance analysis method framework. The basic contents of the framework system comprise: an intelligent integration and intelligent balance set; a multi-target selection and intelligent weighing operator; complexity evaluation and intelligent trade-off relation; group decision system and intelligent trade-off mapping; incomplete information and intelligent trade-off rules; heuristic reduction and intelligent balance system; an intelligent algebra and intelligent balance function; a new intelligent thinking and intelligent balancing model; new intelligent proposition and intelligent balance logic; the new wisdom theory and the intelligent balance category.

The basic flow of the meta-system scientific holographic convergent analysis and the total convergent balance analysis established by the inventor is shown in FIG. 3; the basic flow of the global value chain intelligent big system game organization synergetics analysis is shown in figure 4; the basic flow of the global value chain intelligent large system external communication dynamics integrated analysis is shown in FIG. 5; the basic flow of the dynamics integration analysis of the global value chain intelligent large system transition process is shown in FIG. 6; the basic flow of the dynamic integration analysis of the global value chain intelligent large system external synergistic factors is shown in FIG. 7; the basic flow of the dynamics integration analysis of the global value chain intelligent large system internal co-factor is shown in figure 8.

As a global convergent system process, global value chain planning and configuration based on holographic convergent analysis always takes GVC planning and configuration system problems as main objects. The GVC planning and configuration system has some characteristics different from the common linear system, which are mainly expressed as: structural non-linearity, system dynamics and openness, and uncertainty and incompleteness of information. In view of the characteristics of the complex global value chain planning configuration problem, only a quantitative model is relied on

It is difficult to describe and solve complex global value chain planning configuration problems. From the perspective of global value chain planning configuration based on holographic convergence analysis, we can see that the solution process of the complex global value chain planning configuration problem needs diversified model support. According to the cognitive hierarchy of the complex global value chain planning configuration problem, the section provides a concept model, a structure model and a mathematical model in a diversified model system of the complex global value chain planning configuration problem, and discusses the three models.

If global value chain planning configurator is to state spaceΘThe information is completely known and can be called as a deterministic global value chain planning configuration problem; to the state spaceΘThe information part of (a) is known and can be called as a risk-type global value chain planning configuration problem; to the state spaceΘIs not known and may be referred to as an uncertain global value chain planning configuration problem. The nature of the global value chain planning configuration problem is unchanged before the information is obtained, the risk type global value chain planning configuration is still the risk type global value chain planning configuration, and the knowledge adds an action for obtaining complete information.

Assume a two-pole currency analysis system comprisingmIndividual property (index)P ₁ , P ₂ , ··· , _m PIs provided withlAnd (4) evaluating the test persons. BylThe evaluators give the ratio of the most important attribute to the least important attribute togetherR，RThe determination is based on the scale and standard of 1-9 in the AHP method. And assigning the measurement of each evaluator according to the sequence of each attribute, wherein the smaller the sequence number is, the larger the assignment is.

Will be provided withlThe pair of testersmValue assigned to an attributerBlocks, respectively denoted asP [ 1 ], P [ 2 ], ··· , P [ r ]Wherein, the matrixP [ k ]Is shown in the row of _k PThe number of assessors for the least important attribute was recorded as _k l(ii) a Column indicates the attribute _k PAs a reference, for each attributeP ₁ , P ₂ , ··· , _m PThe assigned value. The concrete form is as follows:

( 3. 7. 60 )

here, the

，And is and

；i = 1, 2, ···, _k l; j = 1, 2, ···, m。

for block matrixP [ k ]Because each attribute is assigned with a value _k PIs a reference, thereby can be pairedP [ k ]Separate averaging of columns

j = 1, 2, ···, m。 ( 3. 7. 61 )

The column vector can be obtained by the formula (3.7.61)Wherein is represented by _k POf least important nature _k lThe pair of testersmThe value assigned to each attribute. Normalizing the row vector to obtain each attribute _j PIn that

Specific gravity of

( 3. 7. 62 )

The block matrixes are processed as above to obtain the block matrixes respectively。

For each block matrixP [ k ]（i = 1, 2, ···, r) Number of lines due to _k lIn contrast, the number of people evaluatedlThe proportion of the ingredients is different, so the consideration is needed _k lIn thatlThe specific gravity of the Chinese herbal medicines is called _kl/ lIs composed of

The weight coefficient of (c).

Combining the above analysis to obtain attributes _j PThe two poles are communicated:

j = 1, 2, ···, m。 ( 3. 7. 63 )

the results are summarized in (3.7.60) - (3.7.63)lThe pair of testersmAnd obtaining the final two poles of the network by the assigned value of each attribute.

Is communicated by two poles _j aTo find the minimum valuea _min And maximum valuea _max Let their corresponding subscripts belAndLi.e. by

_la = a _min， _La = a _max . Will be provided withP [K ]Each column is divided by _l aThe corresponding column is obtained

( 3. 7. 64 )

And

the same way is found to obtain _l PAnd _L Pin thatP′ [ k ]Specific gravity of

And

：

( 3. 7. 65 a )

( 3. 7. 65 a )

and _i athe same method is obtainedA _min AndA _max ：

, ( 3. 7. 66 )

Athe two poles are confluent toA = A _max / A _min 。

Through the above pairs _i aAndAto construct the metric matrix accordingly:

( 3. 7. 67 )

(2.3) the present inventors preliminarily established a holographic convergent numerology system as follows:

definitions 7.4.5 for holographic collections _HH XOne from

To _HH YMay be referred to as a holographic convergence set _HH XOne ofnAnd (4) performing element operation. If it is not

Then call itnThe meta-throughput operation is closed.

Define 7.4.6 a non-empty set of holographic commutations _HH XTogether with a number of commutative operations defined on the set _HHf _{, 1} , _HHf _{, 2} , ···, _HHf _{k ,}The resulting system may be referred to as a holographic convergent numeration system, denoted

< _HHX , _HHf _{, 1} , _HHf _{, 2} , ···, _HHf _{k ,}>。

Positive integer holographic universal set _HHI _{, +} And the addition on the set "+" constitutes a holographic convergent algebraic system< _HHI _{, +} , + >. A limited holographic convergence set _HHSFrom _HH SPower set ofP ( _HH S) And the set operation on the power set comprises U, U and R to form a holographic convergent era system

< P ( _HH S), ∪, ∩, ~ >。

Obviously, in the holographic convergent numerology system< _HHI, + >(Here, the _HH IIs a set of integers), with respect to addition operations, three operation rules may be established for any arbitrary number of operationsx, y, z ∈ _HH IIs provided with

a ) x + y ∈ _HHI(sealing property)

For thex + y ∈ _IN IIntroducing a holographic commutative functionμ _HH Then there is；

For thex + y ∈ _EXIIntroducing a holographic commutative functionμ _HH Then there is

；

b ) x + y = y + x(Interval law)

For thex + y ∈ _IN IIntroducing a holographic commutative functionμ _HH Then there is

；

For thex + y ∈ _EXIIntroducing a holographic commutative functionμ _HH Then there is

；

c ) ( x + y ) + z = x + ( y + z ) (Joint law)

For thex + y ∈ _IN IIntroducing a holographic commutative functionμ _HH Then there is

；

For thex + y ∈ _EXIIntroducing a holographic commutative functionμ _HH Then there is。

It is not difficult to build a holographic commutative numerical system with some of the same operational rules.

The inventor preliminarily establishes the holographic convergent algebra operation rule as follows:

definition 7.4.7 is defined in the holographic collection _HH XThe binary operation of (1). If for arbitraryx, y ∈ _HH XAre all provided withx * y ∈ _HHXThen the binary converging operation is called _HH XThe upper part is closed.

Definition 7.4.8 is defined in the holographic collection _HH XThe binary operation of (1). If for arbitraryx, y ∈ _HH XAre all provided withx * y = y * xThen the binary converging operation is called _HH XThe above are interchangeable.

Definition 7.4.9 is defined in the holographic collection _HH XThe binary operation of (1). If for arbitraryx, y, z ∈ _HH XAre all provided with

( x * y ) * z = x * ( y * z )，

Then the binary converging operation is called _HH XThe above are combinable.

Definition 7.4.10 is set, Δ is defined in the holographic collection _HH XThe binary operation of (1). If for arbitraryx, y , z ∈

_HH XAre all provided with

x * ( y Δ z ) = ( x * y ) Δ ( x * z )

( y Δ z ) * x = ( y * x ) Δ ( z * x )

The term commutative is interchangeable for commutative Δ.

Definition 7.4.11 is set, Δ is defined in the holographic collection _HH XThe two above may be exchanged for a binary operation. If for arbitraryx, y ∈ _HH XAre all provided with

x * ( x Δ y ) = x , x Δ ( x * y ) = x

Then the commute operation and the commute operation Δ are said to satisfy the absorption law.

Definition 7.4.12 is defined in the holographic collection _HH XA binary operation of (a). If for arbitraryx ∈ _HH XAre all provided withx * x = xThe commutative operation is said to be idempotent.

Definition 7.4.13 is defined in the holographic collection _HH XA binary operation of (a). If for arbitraryx ∈ _HH XAlways has one element _le∈ _HH XSatisfy the requirement of _le * x = xThen call _l eIs composed of _HH XA left unit of the summary operation; if for arbitraryx ∈ _HH XAlways has one element _re∈ _HH XSatisfy the requirement ofx * _re = xThen call _r eIs composed of _HH XA right unitary of the summary operation; if for arbitraryx ∈ _HH XAlways has one elemente ∈ _HH XNot only satisfye * x = xAnd satisfyx * e = x Then calleIs composed of _HH XWith respect to the union operation.

Obviously, for any onex ∈ _HHXIs provided withe * x = x * e = x 。

The following theorem is not difficult to obtain:

theorem 7.4.1 is defined in the holographic convergence set _HH XA binary operation of above, and _HH Xin which there are left units related to the commutative operation _l eAnd a right unit _reThen, then _le = _r e= e And is and _HH Xis unique.

The test is not easy.

Definition 7.4.14 is defined in the holographic collection _HH XA binary operation of (a). If for arbitraryx ∈ _HH XAlways has one elementθ _l ∈ _HH XSatisfy the requirement ofθ _l * x = θ _l Then callθ _l Is composed of _HH XLeft zero for the commutative operation; if for arbitraryx ∈ _HH XAlways has one elementθ _r ∈ _HH XSatisfy the requirement ofx *θ _r = θ _r Then callθ _r Is composed of _HH XRight zero for the commutative operation; if for arbitraryx ∈ _HH XAlways has one elementθ∈ _HH XNot only satisfyθ* x = xAnd satisfyx *θ= xThen callθIs composed of _HH XZero elements of the passthrough operation.

Obviously, for any onex ∈ _HHXIs provided withθ* x = x *θ= θ。

The following theorem is not difficult to obtain:

theorem 7.4.2 is defined in the holographic convergence set _HH XA binary operation of above, and _HH Xthe left zero element of the related collection operationθ _l And right zero elementθ _r Then, thenθ _l = θ _r = θAnd is and _HH Xthe zero elements in (1) are unique.

The test is not easy.

The following theorem is not difficult to obtain:

theorem 7.4.3< _HH X, * >Is a holographic convergent algebraic system and is used in a holographic convergent set _HH XThe number of the elements in (A) is more than 1. If there is a unita in the algebraic systemeAnd zero elementθThen, thenθ ≠ e。

The test is not easy.

Definition 7.4.15 is set< _HH X, * >Is a holographic currency generation system, wherein _HH XA binary operation of above, andeis that _HH XWith respect to operation. If for _HH XAn element ofa ∈ _HH XAlways has one elementb ∈ _HH XSatisfy the requirement ofb * a = eThen callbIs composed of _HH XThe left inverse of (c) with respect to the commutative operation; if for arbitrarya ∈ _HH XAlways has one elementb ∈ _HH XSatisfy the requirement ofa * b = eThen callbIs composed of _HH XRight inverse element of the sum of all operations; if for arbitrarya ∈ _HH XAlways has one elementb∈ _HH XNot only satisfya * b = eAnd satisfyb * a = eThen callbIs composed of _HH XThe inverse of the commutative operation.

Obviously, ifbIs thataThe inverse of (a) is determined,ais also thatbThe contrary element of (1) is calledaAndbare mutually inverse elements. An elementxIs inversely recorded asx ^{- 1}。

The following theorem is not difficult to obtain:

theorem 7.7.4 setting< _HH X, * >Is a holographic currency generation system, wherein _HH XThe above-mentioned operation is a binary operation, _HH Xthere are no unit elements related to operation, and each element always has a left inverse. If a is a combinable commutative operation, then the left inverse of any element in this holographic commutative generation system must also be the right inverse of that element, and the inverse of each element is unique.

The test is not easy.

The concept of a confluent half-cluster is established below.

Definition 7.4.16 is set< _HH S, * >Is a holographic convergent algebraic system in which _HHSIs a non-empty holographic collection defined in the holographic collection _HH SThe binary operation in (1), if the commutative operation is closed, it is called holographic commutative system< _HH S, * >Is a generalized confluent group.

Definition 7.4.17 is set< _HH S, * >Is a holographic convergent algebraic system in which _HHSIs a non-empty holographic collection defined in the holographic collection _HH SA binary operation of above, if

a ) The commute operation is closed;

b) The commutative operation being combinable, i.e. for arbitrary onesx, y, z ∈ _HH XSatisfy the following requirements

( x * y ) * z = x * ( y * z )，

Then called holographic convergent algebraic system< _HH S, * >Is a confluent half-population.

The following theorem is not difficult to obtain:

theorem 7.4.5 setting< _HH S, * >Is a confluent half-group of the whole group,

and in the holographic convergence set _HH BAbove, is closed, then,< _HH B, * >also a confluent half-cluster. Can be combined with< _HH B, * >Viewed as a confluent half-group< _HH S, * >A subgroup of (a).

The test is not easy.

The following theorem is not difficult to obtain:

theorem 7.4.6< _HH S, * >Is a confluent half-group if holographic confluent set _HH SIs a finite set, then must havea ∈ _HHSSo thata * a = a 。

The test is not easy.

Further, a confluent group and a confluent subgroup concept are established.

Definition 7.4.18 is set< _HH G, * >Is a holographic convergent algebraic system in which _HHGIs a non-empty holographic collection defined in the holographic collection _HH GA binary operation of above, if

a) The commute operation is closed;

b) The commutative operation being combinable, i.e. for arbitrary onesx, y, z ∈ _HHXSatisfy the following requirements

( x * y ) * z = x * ( y * z )，

c) Presence unite；

d) For each elementx ∈ _HH GExistence of its inverse elementx ^{- 1}；

Then called holographic convergent algebraic system< _HH G, * >Is a convergent group.

Definition 7.4.19 is set< _HH G, * >Is a holographic convergent algebraic system. If it is not _HHGIs a limited holographic convergence set, it can be called

< _HH G, * >In order to be a limited group of connections, _HH Gthe number of middle elements can be called the order number of the limited communication group and is marked as _HH GL, |; if it is not _HHGIs an infinite convergence set, so called holographic convergence algebraic system< _HH G, * >Is an infinite convergent group.

The following theorem is not difficult to obtain:

theorem 7.4.7 setting< _HH G, * >Is aA plurality of confluent groups. For thea, b ∈GMust be uniquex ∈ _HH GSo thata * x = b。

The test is not easy.

The following theorem is not difficult to obtain:

theorem 7.4.8 setting< _HH G, * >Is a convergent group. For thea, b, c ∈ _HHGIf there isa * b = a * cOrb * a = c * aThen must existb = c(elimination law).

The test is not easy.

The following theorem is not difficult to obtain:

theorem 7.4.9 confluent group< _HH G, * >Each row or each column in the operation table is _HHGA permutation of the elements of (1).

The test is not easy.

Definition 7.4.20 is set< _HH G, * >Is a group of all-in-one communication, _HHSis that _HHGIs not an empty subset. If it is not< _HH S, * >Also forming a confluent group, it is called holographic confluent algebraic system< _HH S, * >Is that< _HH G, * >One communicating subgroup of (1).

The following theorem is not difficult to obtain:

theorem 7.4.10 setting< _HH G, * >Is a group of all-in-one communication,< _HH S, * >is a subgroup of, then, the holographic convergent algebraic system

< _HH G, * >Chinese character' Yao YuaneMust also be< _HH S, * >Is a unit of (1).

The test is not easy.

On the basis of initially establishing three new algebraic systems, namely an absolute algebraic system, a relative algebraic system and a two-pole universal algebraic system, the inventor considers the concept of establishing an absolute ring, a relative ring and a two-pole universal ring.

For a given two absolute algebraic system< _A D, ★ >And< _A D, ☆ >it is easy to combine them into an absolute algebraic system with two binary operations< _A D, ★, ☆ >. The important point is the absolute algebraic system with a connection between two binary calculations &< _A D, ★, ☆ >. In general, we can call the first binary operation ∑ addition "and the second operation ∑ multiplication". For example, an absolute real number system with two binary operations of addition and multiplication< _A R, +, × >And absolute integer system< _A I, +, × >Are absolute algebraic systems. For arbitrarya, b, c ∈ _A R(or _AI) All are provided with

a × ( b + c ) = ( a × b ) + ( a × c )

( b + c ) × a = ( b × a ) + ( c × a )，

This association is such that multiplication operations are allocable for addition operations.

(2.4) for the ICT industry chain, a global value chain which completely or partially, directly or indirectly accesses the internet is an efficacy chain of an internet user terminal, and a product research and development department, a system integration department, a product manufacturing department, a product distribution department, a transportation department, an after-sales service department and a product user on the global value chain are users of the internet, as shown in fig. 9.

As shown in fig. 10: in the proposed design of the present invention,

vertical integration li (gvc) on the global value chain, which refers to the centralization and cooperation cc (gvc) between links (or phases) on the global value chain; transverse integration TI (GVC) on the global value chain refers to centralization among all departments (or projects) on the global value chain and cooperation CC (GVC) thereof; longitudinal non-integrated lni (gvc) on global value chain refers to the decentralization and competition dk (gvc) among various links (or stages) on global value chain; horizontal non-integrated tni (gvc) on the global value chain refers to the decentralization and competition dk (gvc) among various departments (or projects) on the global value chain;

let HHI be the Herstella-Herhman index characterizing the degree of centralization, _{i j} Gis the first of an enterpriseiValue chain ofjDepartment (or project group) on an individual link (or stage);i = 1, 2, ···, n ；j = 1, 2, ···, m then there is a set:

_iG ={ _i G ₁ , _i G ₂ , ···, _{i m}G }, _jG ={ G _j1, G _j2, ···, _{n j}G }

wherein

_i G ₁= secondiThe actual product development department (or project group) on the value chain,

_i G ₂= secondiA system integration department (or set of items) on a value chain,

………………………………

_{i j}G= secondiThe actual manufacturing department (or set of items) on the value chain,

………………………………

_{i m}G= secondiDerivatives users on a value chain;

G _j1= 1 st value chainjDepartments (or sets of projects) on an individual link (or stage),

G _j2= 2 nd value chain thejDepartments (or sets of projects) on an individual link (or stage),

………………………………

_{i j}G= secondiValue chain ofjDepartments (or sets of projects) on an individual link (or stage),

………………………………

_{n j}G= secondnValue chain ofjDepartment (or project group) on an individual link (or stage);

i) The vertical integration LI (GVC) on the global value chain based on the centralized organization cooperation mechanism can be represented by the following form:

LI ( i [ GVC ] ) = LI( _i G, GVC [ CC ]; HHI ≥ 1800 ) ( 1. 13. 14 )

wherein _iG ={ _i G ₁ , _i G ₂ , ···, _{i m}G }，

Here, the analysis will be applied to the whole industryThe measure model is improved properly and becomes an index measure method suitable for the longitudinal integration analysis of the global value chain. At present, HHI is a business

Herstellar-Herhman index of the value chain, in whichjRepresents the total number of units of the global value chain,

representing a business

Value chain ofjThe total output of the department to which the enterprise belongs in the link,

is shown asjLink enterprise

The yield of the department of the value chain enterprise accounts for the total yield of the value chain, namely the integral occupancy rate.

II) across global value chain integration TI (GVC) based on a centralized organization collaboration mechanism can be represented in the form:

TI ( j [ GVC ] ) = LI( _j G, GVC [ CC ]; HHI ≥ 1800 ) ( 1. 13. 14 )

wherein _jG ={ G _j1, G _j2, ···, _{n j}G }，

Here, it will be originally appliedCentralized analysis throughout the industry

The measure model is improved properly and becomes an index measure method suitable for the global value chain transverse integration analysis. At present, HHI is a business

Value chain ofj(ii) a cyclic Herstellar-Herhman index, whereiniRepresents the total number of units of the global value chain,representing a business

Value chain ofjThe total output of the department to which the enterprise belongs in the link,

is shown asjLink enterprise

The yield of the department of the value chain enterprise accounts for the total yield of the value chain, namely the integral occupancy rate.

III) the vertical non-integrative LNI (GVC) along the global value chain based on the decentralized organization competition mechanism can be expressed as follows:

LNI ( i [ GVC ] ) = LNI( _i G, GVC [ CC ]; HHI < 1400 ) ( 1. 13. 14 )

wherein _iG ={ _i G ₁ , _i G ₂ , ···, _{i m}G }，

Here, the analysis will be applied to the whole industry

The measure model is improved properly and becomes an index measure method suitable for the longitudinal integration analysis of the global value chain. At present, HHI is a business

Herstellar-Herhman index of the value chain, in whichjRepresents the total number of units of the global value chain,

representing a business

Value chain ofjThe total output of the department to which the enterprise belongs in the link,

is shown asjLink enterpriseThe yield of the department of the value chain enterprise accounts for the total yield of the value chain, namely the integral occupancy rate.

IV) the global value chain across non-integrative TNI (GVC) based on a decentralised tissue competition mechanism can be represented as follows:

TNI ( j [ GVC ] ) = LNI( _j G, GVC [ CC ]; HHI < 1400 ) ( 1. 13. 14 )

wherein _jG ={ G _j1, G _j2, ···, _{n j}G }，

Here, the analysis will be applied to the whole industry

The measure model is improved properly and becomes an index measure method suitable for the global value chain transverse integration analysis. At present, HHI is a business

Value chain ofj(ii) a cyclic Herstellar-Herhman index, whereiniRepresents the total number of units of the global value chain,

representing a businessValue chain ofjThe total output of the department to which the enterprise belongs in the link,

is shown asjLink enterprise

The yield of the department of the value chain enterprise accounts for the total yield of the value chain, namely the integral occupancy rate.

(3) For a global value chain, the inventor establishes a brand-new logic foundation, a brand-new mathematical foundation, a brand-new scientific foundation, a brand-new technical foundation and a brand-new engineering foundation independently, introduces appropriate basic cooperative variables for respectively reflecting basic power, basic load, basic efficacy, basic consumption, internal cooperation and competition and external cooperation and competition of a general GVC planning configuration system in order to transform a neglected and indefinite 'cloud' computing system into a 'heaven-earth' computing system which is communicated with everything and passes through longitude and latitude, and establishes a technical principle and a system scheme for planning and configuring 'heaven-earth' computing by taking a global value chain system as a core.

(3.1) it needs to consider introducing proper sequence parameters for describing the macroscopic state of the general GVC planning configuration system, introducing proper control parameters for reflecting the external environment action, and introducing proper various basic cooperative variables for respectively reflecting the basic power, the basic load, the basic efficiency, the basic consumption, the internal cooperation and competition and the external cooperation and competition of the general GVC planning configuration system.

For any GVC planning configuration system, the sequence parameters can be used as basic variables to describe the macroscopic state of the system. The significance of cooperativity in phase transition is that the synergy caused by subsystem association changes the entire system from unordered to ordered-order parameters arise, and cooperation and competition between order parameters ultimately leads to a system dominated by only a few order parameters-this is the system to a higher degree. Synergetics have studied systems consisting of a large number of subsystems in various fields, in which the laws and consequences of the phase changes occur when the control parameters of the system (energy flow, material flow, information flow provided by the external environment) reach critical values.

In the case where any GVC planning configuration system is attributed to a resource configuration system, it is assumed that the systems shareNA configuration node, the resource allocation quantity determined under a certain empowerment configuration strength is _d M. At the moment of timet Resource allocation densityΠ _d Can be defined as follows:

, ρ = 1, 2, ···, K ( 1. 42 )

wherein,Q _ρ is as followsρThe number of the configuration resources is not limited,Kin order to configure the number of categories of resources,σ _{d , ρ} is as followsρThe empowered configuration strength of the configuration resource.

Here, we can allocate resources denselyΠ _d The sequence parameters are selected as sequence parameters for describing the macroscopic state of the GVC planning configuration system and are called as collaborative state variables.

Further, for the GVC planning configuration system, sequence parameters can be used as state variablesΠ _d Divided into target sequence parameters and actual sequence parameters, which are recorded as Π _d AndΠ _d . To unify the system co-ordination state variables with the notation of other basic co-ordination variables of the system, the following appliesx ₁Andx ₂ respectively represent Π _d AndΠ _d namely:x ₁ = Π _d is a cooperative state target variable (a reasonable cooperative state variable or a non-reasonable cooperative state variable) of the system;x ₂ = Π _d is a collaborative state actual variable of the system.

The inventor considers properly introducing cooperative control parameters, cooperative control factors and control trend parameters and preliminarily discusses and establishes a cooperative control factor kinetic equation.

Suppose the outside world is at a timetResource flow provided to the system _E MInvolving energy flow _EE MFlow of matter _EMMAnd information flow _EI MNamely:

( 1. 43 )

wherein, _EEQ _{, υ} is provided for the outsideυ _E Energy flowThe number of the (c) component(s), _E Vas to the number of kinds of the energy flow,σ _{EE , υ} is provided for the outsideυ _E An assigned configuration strength of the seed energy stream; _EMQ _{, υ} is provided for the outsideυ _M The amount of the seed material flow is, _M Vas to the number of species of the material flow,σ _{EM , υ} is provided for the outsideυ _M (ii) an assigned weight configuration strength of the seed stream; _EIQ _{, υ} is provided for the outsideυ _I The number of the seed information streams, _I Vfor the number of categories of the information stream,σ _{EI , υ} is provided for the outsideυ _I The strength of the weighted configuration of the information stream.

Here, we can put the outside world at the momenttResource flow provided to the system _E MAre selected as control variables for describing the effect of the outside world on the GVC planned configuration system and are referred to as coordinated control parameters.

Further, the GVC planning configuration system can be used as a control parameter _E MDivided into target control parameters and actual control parameters, which are respectively recorded as M _E And _E M. In order to unify the co-control parameters of the system with the signs of other basic co-variables of the system, the following is usedx ₃ Andx ₄ respectively represent M _E And _E Mnamely:

x ₃ = M _E is a cooperative control target variable (a reasonable cooperative control parameter or an unreasonable cooperative control parameter) of the system;

x ₄ = _E Mthe actual variables are controlled cooperatively for the system.

The inventor considers the proper introduction of system power variable, system power factor and power trend parameter, and initially discusses and establishes a system power factor dynamic equation. Assumptions were made:

x ₅ = _dM _F, to satisfy the configuration acting force _dFThe amount of resources required, which may be referred to as configuration action variables;

x ₆ = _dM _C, is a resource load.

Here we will satisfy the deployment force _dFAmount of resources required _dM _{F ,} And resource load _dM _{C ,} Are selected as variables for describing basic power factors of the system and are called system power variables.

The inventor considers properly introducing system effect variable, system effect factor and effect trend parameter, and initially discusses and establishes a system effect factor kinetic equation. For this reason, an assumption is made that:

x ₇ = _dM _S, to satisfy the system efficiency _F SThe amount of resources that are required is,x ₈ = _dM _L, is consumed by the system.

Here we will satisfy the system efficiency _F SAmount of resources required _dM _S, And system consumption _dM _{L ,} Are selected as variables for describing the basic effect factors of the system and are referred to as system effect variables.

The inventor considers the environment dynamic variable, the environment dynamic factor and the environment dynamic trend parameter to be properly introduced, and preliminarily discusses and establishes the environment dynamic factor dynamic equation. For this reason, an assumption is made that:

x ₉ = _dM _EF, to satisfy environmental bearing capacity _F EThe amount of resources that are required is,

x ₁₀ = _dM _EC, the load that the system creates to the environment.

Here we will meet the environmental load bearing capacity _F EAmount of resources required _dM _{EF ,} And the load of the system on the environment _dM _{EC ,} Are selected as variables for describing the environmental dynamics factors and are called environmental dynamics variables.

The inventor considers the appropriate introduction of environment effect variable, environment effect factor and environment effect trend parameter, and initially discusses and establishes the environment effect factor kinetic equation. For this reason, an assumption is made that:

x ₁₁ = _dM _ES, to satisfy the environmental efficiency of the system _EFSThe amount of resources that are required is,x ₁₂ = _dM _EL, is consumed by the system environment.

Here, we can satisfy the system environment efficiency _EFSAmount of resources required _dM _{ES ,} And system environment consumption _dM _{EL ,} Are selected as variables for describing environmental effect factors of the system and are referred to as environmental effect variables.

The inventor considers the external power variable, the external power factor and the external power trend parameter to be properly introduced, and preliminarily discusses and establishes the external power factor kinetic equation. For this reason, an assumption is made that:

x ₁₃ = _SEW _{, Γ} in order for the amount of external cooperative resources to be,x ₁₄ = _SEW _L, is the amount of external contention resources.

Here, we can leverage external collaboration resources _SEW _{, Γ} And amount of external contention resources _SEW _{L ,} Are selected as variables for describing external power factors of the system and are referred to as external power variables.

The inventor considers the proper introduction of external cooperative variables, external cooperative factors and external cooperative trend parameters to initially discuss and establish an external cooperative factor kinetic equation. For this reason, an assumption is made that:

x ₁₅ = _SEM _{, Λ} in order to collect the traffic for the outside,x ₁₆ = _SEM _V, is the external dispersion traffic.

Here, we can concentrate traffic externally _SEM _{, Λ} And external dispersion traffic _SEM _{V ,} Are selected as variables for describing external collaborative factors of the system and are referred to as external collaborative variables.

The inventor considers the proper introduction of internal power variable, internal power factor and internal power trend parameter, and initially discusses and establishes the internal power factor kinetic equation. For this reason, an assumption is made that:

x ₁₇ = _SW _{, Γ} the amount of configuration for the internal cooperation resources,x ₁₈ = _SW _L, and allocating the amount for the internal competition resources.

Here, we can allocate internal cooperative resources _SW _{, Γ} And internal contention resource allocation _SW _{L ,} Are selected as variables for describing the internal power factors of the system and are referred to as internal power variables.

The inventor considers the proper introduction of internal cooperative variables, internal cooperative factors and internal cooperative trend parameters to initially discuss and establish an internal cooperative factor kinetic equation. Assumptions were made:

x ₁₉ = _SM _{, Λ} in order to collect the traffic in the inner part,x ₂₀ = _SM _V, the internal dispersion traffic.

Here, we can concentrate the traffic internally _SM _{, Λ} And internal distributed traffic _SM _{V ,} Are selected as variables for describing the system internal cooperative factors and are referred to as internal cooperative variables.

Configuring system co-variables for GVC planningx _n−21( t ) ( nDistribution of = 1, 2, ·, 10), giving the "drift factor" containing the transition probability as follows:

( 1. 44 )

and gives the "fluctuation factor" with transition probability as follows:

( 1. 45 )

wherein,k _n−21 configuring system covariates for GVC planningx _n−21( t ) A trend parameter of (c).

Configuring system co-variables for GVC planningx _n2( t ) ( nDistribution of = 1, 2, ·, 10), giving the "drift factor" containing the transition probability as follows:

( 1. 46 )

and gives the "fluctuation factor" with transition probability as follows:

( 1. 47 )

wherein,k _n2configuring system covariates for GVC planningx _n2( t ) A trend parameter of (c).

Planning and configuring system cooperative variables in GVCx _n−21( t ) And GVC planning configuration system co-variablesx _n2( t ) The following factors, which may be referred to as "perfect cofactors" may be introduced in between:

( 1. 48 a )

( 1. 48 b )

assume a short time interval delta from the initial valuetOf the hourx _{n− 21} ( t ) Mean difference and sum of mean square error ofx _{n− 21} ( t ) The mean difference and the mean square difference of (1) are respectively obtained by the initial conditionsx _{n− 21} ( 0) = x _{n− 21, 0} And initial conditionsx _{n 2} ( 0) = x _{n 2, 0} Average value after repeated integration< >And (4) calculating. Using this calculation the following results were obtained:

( 1. 49 a )

( 1. 49 b )

( 1. 50 a )

( 1. 50 b )

now, the langevin equation, which may be referred to as the "complete cofactor dynamics equation", is given as follows:

( 1. 51 a )

( 1. 51 b )

it is assumed here thatξ _n−21( t ) Andξ _{n 2}( t ) Are all GaussδAssociated random forces, i.e. assuming their associated function as

，

( 1. 52 a )

，

( 1. 52 b )

Represented by the formula (1.48)a) And (1.48)b) Formula (1.51)a ) And (1.51)b ) Are respectively written as

( 1. 53 a )

( 1. 53 b )

The inventor tries to preliminarily discuss and establish a basic equation system and a model of complete cofactor dynamics in terms of general situations so as to form a complete cofactor dynamics analysis basis. The new equation system established by the inventor firstly combines and unifies the nonlinear random differential equation set and the deterministic constraint condition relationship, and secondly combines and unifies the actual system state function and the reasonable system state function (or the unreasonable system state function) on the basis of the complete synergy factor dynamics basic equation set. The complete synergistic factor dynamics basic equation system established by the inventor, the rationalization trend model and the non-rationalization trend model are the first type of equation system of new dynamics, and can be regarded as the expansion of the Langevin equation. Or, the complete cooperative factor dynamics basic equation system established by the inventor, the rationalization trend model and the non-rationalization trend model jointly form a basic mode of the complete cooperative factor dynamics of the complex large system.

In the game organization synergetics analysis paradigm based on resource allocation dynamics, system efficacy value theory and holographic organization synergetics, a game organization dynamics system should be configured by social organization

System situation vector

(wherein [ SS ]]Representing internal and external co-organizational relationships) and trending parameters

(wherein the trend parameter is expressed asTElements of the dimensional trend space). When discussing their coupling by the Langevin equation, the variables must be considered as

( 1. 38 )

Now, the entire space of kinetic variables contains not only the system situation vectors

And trend parameter

And includes social organizational configuration variables

。

As a first step in this exploration, it is necessary to establish modern gaming group configurations

The average value equation of (1). For a certain internet system, the general form of the total variable of the modern game group configuration is assumed to be

( 1. 39 )

Herein, the

Are real coefficients. Further, the complete cooperative factor restriction condition and constraint relationship system is divided into a total system complete cooperative factor restriction condition and constraint relationship system and a subsystem complete cooperative factor restriction condition and constraint relationship system.

The holographic tissue synergetic system analysis framework is shown in figure 11. In the figure, the position of the upper end of the main shaft,

/

forming a system power relation;

/

forming a system effect relation;

/

forming an ecological power relationship;

/

forming an ecological effect relationship;

forming a type of co-organizational structure.

Under certain system dynamic effect constraint relations and system organization coordination constraint conditions, various configuration organizations utilize various configuration modes and various resource elements to 'drive' system situation vectors to form motion. Therefore, under the condition of certain constraint of system dynamic effect and system organization coordination,

should consist of a superposition of these competing partial derivatives:

, i = 1, 2, ∙∙∙, s ( 1. 40 )

s. t.

, j = 1, 2, 3

wherein each term represents an action. In general, it depends on the system situation vectorSocial organization configuration

And some kind of nonlinear effects of control parameters.

Also, trend parameters

The time derivative (which determines the formula for the transition probability) represents the basis and co-organization of the dynamic effects that tend to alter the system situation vector, and also consists of the superposition of partial derivatives with a competitive effect:

, l = 1, 2, ∙∙∙, T ( 1. 41 )

partial derivative quotient represents system situation vector caused by each trend

The trend of the change will cause the change of the social organization configuration, and the changed social organization configuration drives the situation of the system

Enter the next new state, and so on. To this end, the random force terms are ignored in (1.40) and (1.41). When a random force term is added, (1.40) and (1.41) become Langevin equations and a pair-like equation is obtained

Statistical description of (1).

According to basic organization types, I divide a complex large system into five basic types, namely: a centralized organization cooperation type, a centralized organization competition type, a basic collaborative organization type, a distributed organization cooperation type, and a distributed organization competition type.

Correspondingly, the complete synergistic factor restriction condition and the constraint relation system are divided into five basic types, namely:

intensively organizing a complete cooperative factor restriction condition and a constraint relation system of the cooperative type;

the method comprises the steps of (1) centralizing a tissue competition type complete synergistic factor restriction condition and a constraint relation system;

the basic cooperative organization type is complete with a cooperative factor restriction condition and a constraint relation system;

a constraint condition and constraint relation system of the complete cooperative factor of the decentralized organization cooperation type;

and (3) dispersing the tissue competition type complete synergistic factor restriction conditions and a constraint relation system.

Accordingly, i distinguish the complete co-factor restriction condition and the constraint relationship system into five basic types, sixteen main types and eighty-one special types. These sixteen main types are as follows:

external centralized cooperation/internal centralized cooperation type complete cooperative factor restriction condition and restriction relationship system;

an external centralized cooperation/internal centralized competition type complete cooperative factor restriction condition and constraint relation system;

an external centralized cooperation/internal decentralized cooperation type complete cooperative factor restriction condition and restriction relationship system;

an external centralized cooperation/internal decentralized competition type complete cooperative factor restriction condition and constraint relation system;

an external centralized competition/internal centralized cooperation type complete cooperative factor restriction condition and constraint relation system;

an external centralized competition/internal centralized competition type complete cooperative factor restriction condition and constraint relation system;

an external centralized competition/internal distributed cooperation type complete cooperative factor restriction condition and restriction relationship system;

the external centralized competition/internal distributed competition type completes a synergistic factor restriction condition and a constraint relation system;

an external decentralized cooperation/internal centralized cooperation type complete cooperative factor restriction condition and restriction relation system;

an external decentralized cooperation/internal centralized competition type complete cooperative factor restriction condition and restriction relationship system;

external decentralized cooperation/internal decentralized cooperation type complete cooperative factor restriction condition and restriction relationship system;

external decentralized cooperation/internal decentralized competition type complete cooperative factor restriction condition and constraint relation system;

an external decentralized competition/internal centralized cooperation type complete cooperative factor restriction condition and constraint relation system;

an external decentralized competition/internal centralized competition type complete synergistic factor restriction condition and constraint relation system;

an external decentralized competition/internal decentralized cooperation type complete cooperative factor restriction condition and constraint relation system;

and the external dispersed competition/internal dispersed competition type completes a synergistic factor restriction condition and a constraint relation system.

A complex system has only one particular type of total system in a particular time and space, and a particular type of total system may include five basic types of subsystems, or sixteen main types of subsystems, or 81 special types of subsystems, as shown in FIG. 12.

(3.2) according to the rationalization requirement, I classify the characteristics (standards and requirements) of the calculation of planning configuration heaven and earth into the following four aspects:

c1. the global value chain planning configuration internal and external data is safe and reliable

The planning and configuration heaven-earth calculation provides the most reliable and safe data storage center inside and outside the global value chain planning and configuration, and outside users inside and outside the global value chain planning and configuration do not worry about troubles such as data loss and virus invasion. When your documents are stored on a network service like Docs/HSO, you no longer have to worry about data loss or corruption when you upload your photos to a network album like Picasa Web/HSO. Because at the other end of the world, the world global value chain planning and configuration is provided with the most professional teams inside and outside to help you manage information, and the world global value chain planning and configuration is provided with the most advanced data center inside and outside to help you save data. Meanwhile, global value chain planning configures an external and internal strict authority management strategy to help you to safely share data with the person you specify.

C2, the global value chain planning configuration internal and external clients have low requirements

The planning configuration heaven-earth calculation has the lowest requirement on equipment of external clients in the global value chain planning configuration, and the use is most convenient. You can directly edit the document stored at the other end of the world in the internal and external browsers for global value chain planning and configuration, you can share information and various resources with friends at any time, and then you do not worry about whether the internal and external software for global value chain planning and configuration is the latest version or not, and worry about the internal and external software for global value chain planning and configuration or the infection of viruses on the document. At the other end of the world, technicians with global value chain planning configuration and internal and external specialties help you maintain hardware, help you install and upgrade global value chain planning configuration and internal and external software, help you prevent viruses and various network attacks, and help you do everything you do before on personal equipment (including computers).

C3. global value chain planning and configuration internal and external easy shared data

The planning and configuration heaven-earth calculation can easily realize the data and application sharing among different external devices in the global value chain planning and configuration, and not only helps people to establish information connection, but also helps people to establish physical connection, knowledge connection and financial connection. Considering that the data synchronization methods of different external devices in the global value chain planning configuration are various and complex to operate, the latest contact information needs to be stored and maintained among the different external devices in the global value chain planning configuration, and therefore time and effort which are difficult to count need to be paid for the contact information. At this point you need to make everything simpler with planning configuration heaven and earth calculations. In the dynamic convergence network application mode for planning and configuring heaven and earth calculation, only one part of data is stored at the other end of heaven and earth, and all electronic equipment can access and use the same part of data at the same time only by connecting with the dynamic convergence network.

C4. the global value chain planning configuration may be unlimited inside and outside

The planning and configuration heaven-earth calculation provides almost infinite possibility for people to use the network, provides almost infinite space for storing and managing external data in the global value chain planning and configuration, and provides almost infinite computing capability for people to complete various applications inside and outside the global value chain planning and configuration. Away from planning and configuring heaven-earth computation, we cannot enjoy the convenience of the inside and the outside of global value chain planning and configuring by using a client application on a personal computer or a mobile phone alone. It is not possible for a personal computer or other electronic device to provide unlimited storage space and computing power inside and outside the global value chain planning configuration, but at the other end of the world, a large cluster of tens of thousands or more servers inside and outside the global value chain planning configuration can easily do so. The capabilities of individuals and individual devices are limited, but the potential for planning configuration calculations is almost limitless. When you put the most common data and the most important functions inside and outside the global value chain planning configuration on the heaven and earth, we believe that your knowledge of the inside and outside hardware equipment, application software and even dynamic communication networks of the global value chain planning configuration changes with the earth and the earth, and your life changes accordingly.

The spirit of dynamic communication is comprehensive freedom, equality and sharing. Being a computing model which can embody the spirit of the dynamic convergence network, the planning configuration heaven-earth computation inevitably shows strong vitality in the near future and changes our work and life from multiple aspects. Whether ordinary users inside and outside the global value chain planning configuration or employees of enterprises inside and outside the global value chain planning configuration, whether managers inside and outside the global value chain planning configuration or software developers inside and outside the global value chain planning configuration can experience the comprehensive and profound change in person.

(3.3) social public institution (including government) handling planning configuration heaven and earth calculation

The planning configuration heaven and earth calculation is significant not only for the ICT industry of each country, but also for various industries of each country, and a policy maker needs to pay enough attention to the fact so as not to miss the opportunity.

In the past, governments have gained a number of benefits from the services of ICT companies, driving e-government innovation and establishing partnerships with the home ICT services and channel providers. However, planning and configuration heaven and earth computation requires more comprehensive support than in the past, and more external software, platforms or external infrastructure of global value chain planning and configuration need to be outsourced.

Planning and configuring the world and earth calculation must become a part of the ICT industry policy of each country

Planning configuration heaven and earth calculations is a game of scale-the larger the scale of the outside of the information network the better, and the company that will take action first will become the largest. Its size must support ubiquitous access inside and outside the information network, seamless flexibility of connectivity, competitive prices, continuous investments in quality, functionality, and security for world services.

Planning to deploy a heaven-earth computational development path may mean that outside interested vendors within an information network must invest in advance and that their infrastructure must be able to support large enough capacity. The ability to pre-invest affects the location of external markets within the information network in the world service.

How to look at the planned configuration for calculation on a day-to-day basis is somewhat daunting for the government. If the network is completely delivered to the market, a likely situation is that the external market and the internal market of the local information network are absorbed into the world, and the local company falls into overseas factories of global mainstream companies; and if policy intervention is taken, the heaven and earth cannot be really closed from the practical point of view.

From the local world to the national world, and from the national world to the global world.

The high management of external policies in the information network must fully consider the risks and opportunities brought by planning and configuring the world calculation to the national ICT industry and various industries. On the one hand, it may lead to "overseas construction of plants" for work and data inside and outside the information network. On the other hand, since the planning and configuration are global in computing system and the legal system is different among countries, the internal and external data security and privacy problems of the information network are disputed or hidden.

"national heaven and earth" can solve both problems very well. Firstly, the 'national world' provides internal and external market opportunities for the information network for the local ICT industry and various industries; in addition, the government can manage, plan, configure and calculate the heaven and earth according to the self requirement, and the safety requirement of the government can be met by combining the national regulation and policy. For small and medium-sized countries, establishing and developing world wide is a necessary way to defend and compete against IT macros such as amazon, google, IBM, microsoft.

Government and communication enterprise relationships

If the government wants to obtain the leading right in planning and configuring the heaven and earth calculation, the government needs to make efforts in two aspects, namely an internal policy and an external policy of an information network; second, external and internal expenses of the information network. The core is that the position of the local enterprise in planning and configuring the heaven and earth calculation can be ensured.

Because of the large investment in planning and configuring world-to-earth calculations, this means that there are few vendors in each country with great competition strength with the global ICT, and thus the largest operators inside and outside the home information network may be the best candidates for "national world" construction — at least they have resource advantages and generally will only focus on the external and internal markets of the home information network.

Of course, the government may also cooperate with world wide service providers to stimulate the development of the world in this country.

4. Description of the drawings

Fig. 1 and 2 illustrate:

the basic framework of the holographic generalization mathematical analysis technique established by the present inventors is shown in fig. 1 and 2:

as a basic component of an Internet system cross integration scientific analysis technology system framework established by the inventor, the holographic convergent mathematical analysis technology framework is a complex system with a multi-level structure. The analytical technology framework system comprises:

a holographic converging mathematics summarizing and analyzing framework system of a meta-system science;

a meta-system holographic organization synergetics mathematical summary analysis framework system;

the holographic generalization of the meta-system science is a mathematical balance analysis framework system.

FIG. 3 illustrates:

the basic flow of the meta-system scientific holographic link analysis and the total link balance analysis established by the inventor is shown in FIG. 3.

As a global convergent system process, global value chain planning and configuration based on holographic convergent analysis always takes GVC planning and configuration system problems as main objects. The GVC planning and configuration system has some characteristics different from the common linear system, which are mainly expressed as: structural non-linearity, system dynamics and openness, and uncertainty and incompleteness of information. In view of the characteristics of the complex global value chain planning configuration problem, only a quantitative model is relied on

Fig. 4, 5, 6, 7 and 8 illustrate:

the basic flow of the global value chain intelligent big system game organization synergetics analysis is shown in figure 4.

The basic flow of global value chain intelligent large system external communication dynamics integrated analysis is shown in figure 5.

The basic flow of the dynamics integration analysis of the global value chain intelligent large system transition process is shown in FIG. 6.

The basic flow of the dynamic integration analysis of the global value chain intelligent large system external co-factor is shown in figure 7.

The basic flow of the dynamics integration analysis of the global value chain intelligent large system internal co-factor is shown in figure 8.

As a new intelligent system process, global value chain planning and configuration based on two-pole convergence analysis always takes GVC planning and configuration system problems as main objects. The GVC planning and configuration system has some characteristics different from the common linear system, which are mainly expressed as: structural non-linearity, system dynamics and openness, and uncertainty and incompleteness of information. In view of the characteristics of the complex global value chain planning configuration problem, only a quantitative model is relied on

If global value chain planning configurator is to state spaceΘThe information is completely known and can be called as a deterministic global value chain planning configuration problem; to the state spaceΘThe information part of (a) is known and can be called as a risk-type global value chain planning configuration problem; to the state spaceΘIs not known and may be referred to as an uncertain global value chain planning configuration problem. The nature of the global value chain planning configuration problem is unchanged before the information is obtained, the risk type global value chain planning configuration is still the risk type global value chain planning configuration, and the knowledge adds an action for obtaining complete information.

For a specific organization, the tasks to be completed are consistent with the organization structure in form, and the intelligent integrated system of the internet group to be built is also consistent with the organization structure in form. That is, the intelligent integrated network graph defined above _B GIn a form that is structurally consistent with the organization and some task it is to accomplish.

The concept model is a simple abstraction of the complex global value chain planning configuration problem depending on human knowledge and experience, is a qualitative analysis model and has the widest analysis degree on the problem; the mathematical model is a quantitative global value chain planning configuration model, has the highest degree of integration, can deeply reflect the essence of the problem, but has insufficient breadth; the structure model is a formalized division of a complex global value chain planning configuration problem on the basis of a conceptual model, and is a mutual connection bridge between qualitative analysis and quantitative integration. Understanding the problem of complex global value chain planning configurations requires both depth and breadth. This requires the comprehensive use of the three types of models.

FIG. 9 illustrates:

for the ICT industry chain, a global value chain which completely or partially, directly or indirectly accesses the internet is an efficacy chain of an internet user terminal, and a product research and development department, a system integration department, a product manufacturing department, a product distribution department, a transportation department, an after-sales service department and a product user on the global value chain are users of the internet, as shown in fig. 9.

FIG. 10 illustrates:

as shown in fig. 10: in the design proposed by the present invention, the vertical integration li (gvc) on the global value chain refers to the centralization and cooperation cc (gvc) between each link (or stage) on the global value chain; transverse integration TI (GVC) on the global value chain refers to centralization among all departments (or projects) on the global value chain and cooperation CC (GVC) thereof; longitudinal non-integrated lni (gvc) on global value chain refers to the decentralization and competition dk (gvc) among various links (or stages) on global value chain; horizontal non-integrated tni (gvc) on the global value chain refers to the decentralization and competition dk (gvc) among various departments (or projects) on the global value chain;

FIG. 11 illustrates:

the holographic tissue synergetic system analysis framework is shown in figure 11. In the figure, the position of the upper end of the main shaft,

/

forming a system power relation;

/ forming a system effect relation;

/

forming an ecological power relationship;

/ forming an ecological effect relationship;

forming a type of co-organizational structure.

Under certain system dynamic effect constraint relations and system organization coordination constraint conditions, various configuration organizations utilize various configuration modes and various resource elements to 'drive' system situation vectors to form motion.

FIG. 12 illustrates:

a complex system has only one particular type of total system in a particular time and space, and a particular type of total system may include five basic types of subsystems, or sixteen main types of subsystems, or 81 special types of subsystems, as shown in FIG. 12.

5. Detailed description of the preferred embodiments

The PA/GVC system to be developed and established is undoubtedly an advanced economic scientific and technical system, an advanced management scientific and technical system and an advanced system engineering theory and practice, and relates to the technical fields of wide application, large investment, long implementation period, high difficulty and certain risk, and a scientific method is needed to ensure the success of project implementation.

C1 global value chain planning configuration project implementation plan

According to the global value chain organizational reality, the whole project is determined to be carried out in two stages:

the first stage mainly implements the system control, sales configuration, receivable configuration, logistics arrangement, payable configuration, inventory accounting, product data configuration (including global value chain structure configuration and process configuration), cost budget configuration (including cost configuration), financial project accounting, PDM data arrangement and demand analysis, hardware network environment construction and global value chain planning configuration. The period is about 12 months. The method mainly completes the integration of related logistics and fund flow inside and outside the global value chain planning configuration, and the basic configuration is normative and transparent.

And the second stage is integrating the production main planning, material demand planning, capacity balance, workshop project configuration, quality configuration, equipment metering configuration, human resource configuration, solution analysis and global value chain planning configuration which are related inside and outside the global value chain planning configuration. The period is about 16 months. The method mainly realizes a holographic synergetic organization mode which takes global value chain planning to configure internal and external associated markets as requirements, takes main planning driven longitudinally and transversely as a core and takes input and output related to the global value chain planning to configure the internal and external associated input and output as main contents, effectively controls work-in-process, compresses stock to the maximum extent, improves delivery date and quickly meets market requirements.

Overall target for C2 planning configuration

aAnd promoting the global value chain to be converted from a traditional closed, low-efficiency and extensive configuration mode to a transparent, cooperative, normative and lean configuration mode by taking the implementation of a global value chain planning configuration project as a trigger, and supporting the realization of a global value chain strategic target.

bReinforcing global value chainAnd (4) basic configuration. Establishing a standard global value chain planning configuration internal and external associated data standard and a coding system, and promoting the global value chain foundation to be consolidated; product design and process file standardized configuration related to the inside and the outside of global value chain planning configuration are enhanced; refining raw material consumption, working hours, capital occupation and equipment time-per-hour quota configuration related to the inside and the outside of global value chain planning configuration; standardizing global value chain planning and configuring internal and external associated global value chain production period standards; customer resource information configuration related to the inside and the outside of global value chain planning configuration is enhanced; the cost expense and price configuration related to the inside and the outside of the global value chain planning configuration are refined; and the internal and external associated carrying flow and role specification configuration of global value chain planning configuration is enhanced.

cImprove configuration, decision-making methods. Information resource planning related to the inside and the outside of global value chain planning configuration, data integration of each subsystem and global sharing of a database are realized; establishing a global value chain basic information structure which is related to the inside and the outside of the global value chain planning configuration, wherein the global value chain basic information structure comprises an integrated information network and a comprehensive and uniform data interaction format; global value chain planning and configuration of internal and external related complete inventory configuration and analysis; global value chain planning configures internal and external associated process consumption cost accounting; global value chain planning and configuration of internal and external associated credit risk control and customer resource configuration; the integrated application of the main system operation planning, the material demand planning and the order configuration driven longitudinally and transversely; global value chain planning configures real-time cost accounting of internal and external associated sub-products; fast quotation; the global value chain planning configures the internal and external associated profit budget and profit-loss balance analysis; and (4) online multidimensional data analysis and decision application support.

　　dAnd the global value chain planning configuration is standardized, the global value chain configuration is systematically promoted, the global value chain is supported to carry out systematic evolution, and transparent, open, cooperative, standardized and lean global value chain culture is formed.

Implementation content of C3 planning configuration

aGlobal value chain planning configures internal and external associated logistics arrangements. The requirements of the global value chain planning configuration internal and external associated production systems are transmitted in time by means of brand-new information system support, and the requirements of the global value chain planning configuration internal and external associated production systems are quickly responded to through information integration with the global value chain planning configuration internal and external associated logistics systems, so that the compatibility of the global value chain planning configuration internal and external associated production materials is guaranteed. The global value chain planning and configuration system provides a demand plan of the internal and external associated production of the global value chain planning and configuration according to the system operation plan; the global value chain planning configuration internal and external associated production system can inquire the complete set condition of raw materials and parts according to material planning and provide global value chain planning configuration internal and external associated logistics arrangement planning; establishing a perfect global value chain planning configuration internal and external associated supplier configuration system by integrating global value chain planning configuration internal and external associated information of a global value chain planning configuration system; the method comprises the following steps of taking information of delivery date, article quality and the like of internal and external associated suppliers of global value chain planning configuration as the basis of supplier evaluation; integrating evaluation results of global value chain planning configuration internal and external associated suppliers with distribution of logistics arrangement shares and payment policies; and establishing an information base of basic configurations such as global value chain planning configuration internal and external related logistics arrangement period, economic batch, safety stock and the like, and providing a basis for timely guaranteeing material supply.

bGlobal value chain planning configures internal and external associated sales, inventory and production systems. The system operational plan is a compendium file that directs global value chain planning to configure internal and external associated production activities. In order to guarantee the implementation of system operation planning, a series of matched plans such as material logistics arrangement planning, outside cooperation planning, workshop project planning, equipment use planning, tooling mold planning and the like which are related inside and outside global value chain planning configuration can be generated at the same time. System operation planningThese plans are related to outline and purpose, outline to talent.

cGlobal value chain planning configures internal and external associated cost configurations. Planning, accounting, controlling and configuring the production cost associated with the inside and the outside of the global value chain planning configuration, establishing a department cost budgeting method associated with the inside and the outside of the global value chain planning configuration, comparing with the analysis of the cost in affairs, ensuring that the budgeting is learned and accurate by departments step by step, and providing useful data for global value chain organization decision-making.

dGlobal value chain planning configures internal and external associated due configurations. The global value chain planning configuration internal and external related payable subsystems are mainly used for configuring various interactive funds between the global value chain and a supplier in the operation process, effectively help global value chain configurators master the flow direction of funds, control the outflow of the funds of the global value chain by monitoring the payment condition and form good circulation of the mobile funds. The global value chain planning configures internal and external associated payable subsystems to fill out invoices, taxes and logistics arrangement expenses based on the occurrence of logistics arrangement activities, and orders generated by the logistics arrangement subsystems can also be directly called. The invoice amount and the warehousing material are shared, and the payment condition of the warehousing material can be determined. After the invoice is posted, an account receivable is generated, the payment bill and the account receivable are settled, the paid amount and the unpaid amount are determined, and meanwhile, the prepayment can be processed. In order to master future fund flow conditions of the global value chain organization in real time, the system related to the global value chain planning configuration inside and outside also provides rich inquiry statistical functions and is used in an integrated manner with a logistics arrangement subsystem and an accounting subsystem related to the global value chain planning configuration inside and outside.

eGlobal value chain planning configures internal and external associated receivable configurations. The global value chain organization realizes the sharing of data between the financial project departments and the sales departments which are related inside and outside the global value chain planning configuration through the application of the global value chain planning configuration system, and completes the data sharing on the networkExchanging data information; the income accounting form money of the financial project department related to the inside and the outside of the global value chain planning configuration is registered by taking the sales invoice of the sales department as the basis; the income accounting form money of the internal and external association of the global value chain planning configuration is collected according to the current users. The global value chain planning configures internal and external related collection and sales invoices according to the data, and defines the flow source. Each account receivable can be appointed when the payment is returned for settlement, so that the income accounting form age and the pre-receivable account age can be reflected timely and accurately, and the income accounting form age and the pre-receivable account age can be analyzed, and the returned account age can also be analyzed.

6. Introduction to 600 patent Co-implementation plan

After thirty years of free exploration, the independent inventor li zong professor formally submits 600 patent applications of inventions to the national patent office through an electronic application system in 2011 and 9 months, and submits 600 materials such as a claim, a specification, an attached drawing and the like with about 3600 ten thousand characters in total.

After thirty years of free exploration, the independent inventor Lizong professor has independently written eight academic large works (total 3000 ten thousands) closely related to the 600 technical inventions reported this time on the basis of more than eighty papers published (without cooperative achievement) through international and domestic academic publications and academic conferences, and intends to continuously process official publishing matters after 9 months in 2011.

The 600 technical inventions reported this time are a new technical cluster of a self-formed system established by the inventor of Lizong through thirty years of independent free exploration, and the general name is 'global value chain network technology support system' [ DCN/HII (GVC); ].

Based on a series of independently and freely completed major creative academic research results and 600 latest technical inventions, the inventor has proposed a strategy which can be called as 'open the earth' plan-a global value chain system engineering technology cluster development overall strategy.

The overall strategic goals of the global value chain network technology support system can be summarized as follows:

1. in the basic aspect of technical development (the front end of an ICT industrial chain), a multi-level multi-mode global value chain system (GVC) is taken as a core, connection and coordination of natural intelligence and artificial intelligence based on a computer and a network thereof are taken as a main line of an upgrading process of a general Intelligent Integrated System (IIS), a brand-new logic foundation, a mathematical foundation, a scientific foundation and a brand-new technical foundation and engineering foundation are established, a relatively closed and relatively static 'resource pool' -cloud computing network is injected with soul, intelligence and life, a global intelligent integrated network computer system (CS/HSN (GII) is built, and the global Internet is created into a technical support system which really has a life and ecological holographic synergetic organization.

2. In the application aspect of brand new technology (at the end of an ICT industrial chain), a multi-level multi-mode global value chain system (GVC) is taken as a core, connection and coordination of a cognitive system and a practice system based on a computer aided system and the Internet are taken as a main line of an evolution process of a high-level intelligent integrated system (HIIS), an intelligent integrated scientific technology system (IIS & IIT) based on a meta-system (MS) scientific brand-new theory is established, a novel global Internet endowed with life vitality and logistics networks, energy networks, financial networks and knowledge networks which are scattered at all departments of all the fields of the world are integrated into a whole (DCN), the global value chain system engineering is vigorously pushed, and a global intelligent integrated dynamic communication network system (DCN/HII (GVC) really having life and ecological holographic synergetic organization is established, so that the intelligent integrated network is established, The life internet and the ecological operation network.

By implementing a global value chain system engineering technology cluster to develop a general strategy, which is called as a 'open the earth' plan by the inventor, an overlooked 'cloud' computing system is transformed into a 'heaven and earth' computing system which can be used for connecting everything and runs through longitude and latitude.

The heaven-earth computing revolution based on the cloud computing revolution takes a multi-level multi-mode global value chain system as a core, takes a modern electronic technology, a modern communication technology and a modern information network technology as a support foundation, and tightly combines a logistics network, an energy network, an information network, a financial network and a knowledge network to establish a high-efficiency, intensive and intelligent integrated dynamic converging network large system with life (or ecological) self-organization property, thereby greatly simplifying team management (and enterprise management), department management (and industry management), regional management, national management and global management, effectively reducing the cost of team (and enterprise) infrastructure, the cost of department (and industry) infrastructure, the cost of regional infrastructure, the cost of national infrastructure and the cost of global infrastructure, and comprehensively improving the informatization level of the team (enterprise), The department (and industry) informatization level, the regional informatization level, the national informatization level and the global informatization level change all social organizations and activities thereof into configuration nodes and activities thereof in a global multi-level multi-mode system efficacy chain network system, particularly change all social economic organizations and activities thereof into configuration nodes and activities thereof in the global multi-level multi-mode value chain network system, and finally lead to the knowledge, intellectualization and networking to become the basic attributes of society, organization and individuals.

Claims (7)

1. The independent claim, namely a global value chain planning configuration intelligent integrated system computing technology foundation, is a new technology which is proposed by the applicant by establishing a basic model and a normal form of network configuration dynamics, by taking an internet user as the center, further taking a global value chain system (GVC) as the center, taking the connection and coordination of natural intelligence and artificial intelligence based on a computer and a network thereof as a main line of an upgrading process of a general Intelligent Integrated System (IIS) and taking the connection and coordination of natural intelligence and artificial intelligence based on the computer and the network thereof as the center, in order to modify a neglected and indefinite 'cloud' computing system into a universal and longitude and latitude penetrating 'heaven-Earth' computing system on the basis of establishing a brand new logic foundation, a brand new mathematical foundation, a brand new scientific foundation and a brand new technical foundation and an brand new engineering foundation, and the present claim is:

A. for the global value chain planning configuration intelligent integrated system computing technology, a brand new logic basis comprises holographic convergence logic, bipolar convergence logic and bipolar holographic convergence logic; the brand new mathematics foundation comprises holographic convergent mathematics, dipolar convergent mathematics and system transition analytical mathematics; the brand new scientific basis comprises resource allocation dynamics, holographic organization synergetics, a system efficacy value theory, game organization synergetics, hedging balance economics, holographic confluent physics and through science (cross science and transverse science) formed by the large synthesis of a series of brand new theories, namely element system science and intelligent integration science; the brand new technology base is a brand new system technology (cluster) taking a value chain system as a core and oriented to holographic cooperativity; the brand new engineering foundation is a brand new system engineering (cluster) taking a value chain system as a core and oriented to holographic cooperativity;

B. for global value chain planning configuration intelligent integrated system computing technology, "heaven and earth" computing itself is an extremely complex system with a very complex holographic collaborative organization structure, where, on the one hand, various computers and their infrastructures, accessories and network devices (including servers, browsers) are connected in a holographic collaborative organization mode (including ICC, ICK, ICH, IDC, IDK, IDH, IMC, IMK, IMH, ECC, ECK, ECH, EDC, EDK, EDH, EMC, EMK, EMH) to form a computer interconnection network organization; on the other hand, various users and their efficacy chains are connected in a holographic collaborative organization mode (including ICC, ICK, ICH, IDC, IDK, IDH, IMC, IMK, IMH, ECC, ECK, ECH, EDC, EDK, EDH, EMC, EMK, EMH) to form a natural intelligent socialization organization, which together with the computer interconnection network organization forms the "world" computing system CS/hsn (gii) referred to by the inventor;

C. for the global value chain planning configuration intelligent integrated system computing technology, a basic principle, a mathematical basis and a total design framework of planning configuration heaven and earth computing are established, and a logic basis and a mathematical basis of the planning configuration heaven and earth computing, namely a holographic currency algebraic system, are further established;

D. for the global value chain planning configuration intelligent integrated system computing technology, proper various basic cooperative variables for respectively reflecting basic power, basic load, basic efficacy, basic consumption, internal cooperation and competition and external cooperation and competition of a general complex adaptive system are introduced, and a technical principle and a system scheme for planning configuration 'heaven-earth' computing are established.

2. Dependent claims-for global value chain, the basic principles and general design framework for building planning configuration "heaven and earth" calculations are established according to the invention of independent claim 1, this claim being characterized in that:

the basic principles of planning configuration heaven and earth computation can be summarized as follows:

by taking a global value chain as a core, the operation of various configuration centers (a physical resource configuration center, a knowledge resource configuration center and a value resource configuration center related to an information resource configuration center) outside the global value chain enters a holographic cooperative organization process by distributing computer computing on a large number of distributed computers instead of a local computer or a remote server; the global value chain planning configuration can be realized by various enterprises inside and outside the global value chain planning configuration, resources can be switched to required applications, and the information network can be accessed to an internal and external operation system and a storage system according to requirements;

the application of the heaven-earth computation of the GVC planning configuration comprises the idea of combining the forces for each member inside and outside the global value chain planning configuration;

the global value chain planning configuration internal and external business service platforms are the improvement and expansion of the business service platform;

the SAAS/HSO [ GVC ] and the MSP/HSO [ GVC ] are mixed, the planning configuration is calculated from day to day, and a platform is provided for interaction between an external user and a provider in the global value chain planning configuration; for example, global value chain planning configures an internal and external user individual expense management system, can manage the expense of the user according to the setting of the user and coordinate various subscribed services;

the global value chain planning configuration internal and external integration is the improvement and expansion of internet integration;

companies providing similar services on dynamic convergent networks are integrated so that external users can more conveniently compare and select their service providers within a global value chain planning configuration.

3. Dependent claims-for global value chains, the invention according to independent claim 1 establishes the mathematical basis for planning the configuration "heaven and earth" calculations, this claim being characterized in that:

is provided withWRepresent global value chain planning configuration technique, pairWAfter hierarchical decomposition is carried out according to the structure and the function,Wcan be structurally represented as a hierarchical set

( 2. 25 )

Wherein _iW ( i= 1, 2, …, n) isWThe sub-technique of (1);

global value chain planning and configuration technologyWHierarchical directed graph with hierarchical decomposition by structure and functionBIs defined as a doublet

B = ( V，D ) ( 2. 26 )

Wherein

In order to be a set of nodes, the node sets,D = W ×Wa set of directed edges connecting nodes;

byBOf the connection matrixACan calculateWReachability matrix ofE(ii) a A set of preceding nodes (accumulator set) and a set of succeeding nodes (descnd set)

Is thatBMiddle node setVThe above two functions are respectively defined as follows:

( 2. 27 )

( 2. 28 )

using reachability matricesE，BMiddle node setVCan be decomposed intornLevel of hierarchyV _l ，V ₂ ，…， _n VWherein

Here, them ( ≤ n ) Is to make

A positive integer of (d); this is called a hierarchy (1 ev-structure).

4. Dependent claims-for global value chain planning configuration, the path optimization strategy and the multi-attribute measure basis for planning configuration "heaven and earth" computation are established according to the invention of independent claim 1, this claim being characterized in that:

for a global value chain planning configuration process multi-stage path network, in each stage of solving, the multi-stage path network can be utilizedkStages andkthe relationship between + 1 phases is as follows:

this recursive relationship may be referred to as an equation for multi-stage path optimization in the practice process; this function equation is derived from Bellman's optimization principle;

the basic idea of multi-stage path optimization in the global value chain planning configuration process can be summarized as follows:

the key of the multi-stage path optimization lies in the application of the Bellman optimization principle, which is summarized as that the process is continuously transferred by using a basic recursion relational expression to solve the problems, and the solution is carried out according to the reverse sequence, namely, the optimal path is searched from the end point to the starting point section by section;

the multi-stage path optimization in the global value chain planning configuration process can be regarded as the expansion of dynamic planning, and comprises the following steps:

path optimization (dynamic planning A) facing global value chain planning configuration organization;

path optimization (dynamic planning B) facing to the global value chain planning configuration object;

path optimization (dynamic planning C) facing the global value chain planning configuration technology;

path optimization for global value chain planning configuration environment (dynamic planning D):

if the phase number in the multi-phase path network in the global value chain planning configuration process is opposite to the phase number of the actual problem, the method for dynamically planning the optimization path can obtain a recursion relation as follows:

Grepresenting a terminal state;

is communicated by two poles _j aTo find the minimum valuea _min And maximum valuea _max Let their corresponding subscripts belAndLi.e. by

_la = a _min， _La = a _max (ii) a Will be provided withP [K ]Each column is divided by _l aThe corresponding column is obtained

( 3. 7. 64 )

And

the same way is found to obtain _l PAnd _L Pin thatP′ [ k ]Specific gravity of

And

：

( 3. 7. 65 a )

( 3. 7. 65 a )

and _i athe same method is obtainedA _min AndA _max ：

,

( 3. 7. 66 )

Athe two poles are confluent toA = A _max / A _min 。

5. Dependent claims-for global value chain planning configuration, a holographic currency generation system for planning configuration "heaven and earth" calculations is established according to the invention of independent claim 1, this claim being characterized in that:

definitions 7.4.5 for holographic collections _HH XOne from

To _HH YMay be referred to as a holographic convergence set _HH XOne ofnPerforming element operation; if it is not

Then call itnThe Yuanhuitong operation is closed;

define 7.4.6 a non-empty set of holographic commutations _HH XTogether with a number of commutative operations defined on the set _HHf _{, 1} , _HHf _{, 2} , ···, _HHf _{k ,}The resulting system may be referred to as a holographic convergent numeration system, denoted

< _HHX , _HHf _{, 1} , _HHf _{, 2} , ···, _HHf _{k ,}>；

Definition 7.4.15 is set< _HH X, * >Is thatA holographic currency proxy system, wherein _HH XA binary operation of above, andeis that _HH XThe unit of operation; if for _HH XAn element ofa ∈ _HH XAlways has one elementb ∈ _HH XSatisfy the requirement ofb * a = eThen callbIs composed of _HH XThe left inverse of (c) with respect to the commutative operation; if for arbitrarya ∈ _HH XAlways has one elementb ∈ _HH XSatisfy the requirement ofa * b = eThen callbIs composed of _HH XRight inverse element of the sum of all operations; if for arbitrarya ∈ _HH XAlways has one elementb∈ _HH XNot only satisfya * b = eAnd satisfyb * a = eThen callbIs composed of _HH XThe inverse of the commutative operation;

an absolute category is defined 7.10.10 as an absolute algebraic system:

_AC = ( ob _A C, Hom _A C, dom , cod , comp )

it contains the absolute class ob _ACAbsolute type of Hom _A CAnd three absolute functions:

dom : Hom _AC → ob _A C, cod : Hom _AC → ob _A C,

comp: Hom _AC × Hom _A C→ Hom _A C；

wherein,

ob _A Cmay be referred to as absolute category _A COf an object class whose elements are called _A CThe object of (a);

Hom _A Ccan be called as _ACThe attitude class of (1), its element is called _A CCarrying out the attitude shooting;

dom can be called _A CRegion function of；

Cod can be called as _A CThe upper region function of (1);

comp may be referred to as composition of state rays;

they satisfy the following conditions:

( a1) For any one _A A, _AB ∈ob _A C, Hom _AC ( _A A, _A B) Is Hom _A CA subclass of (2) is also denoted as _AC ( _A A, _A B) (ii) a If it isf ∈ _AC ( _A A, _A B) Then do mf ) = _A A, cod ( f ) = _A B；

( a2) For any one _AA ∈ob _A CThere is onei ( _A A) ∈ _AC ( _A A, _A B) So that:

( b 1) If dom: (f ) = _AAComp (f , i ( _A A)) = f ；

( b 2) If cod (f ) = _ABComp (i ( _A B), f ) = f ；

( a3) To any of (f , g ) ∈Hom _AC × Hom _A CThe following equation holds true:

( b 1 ) dom (comp ( f , g )) = dom ( g )；

( b 2 ) cod ( comp ( f , g )) = cod ( f )；

( a4) To any of (f , g, h ) ∈Hom _AC × Hom _A C× Hom _A CThe following equation holds true:

comp ( f , comp ( g , h )) = comp (comp ( f , g ) , h )；

f ∈ _AC ( _A A, _A B) Can be described asf : _A A→ _A B；comp ( f , g ) Can be described asf o g；

A relative category is defined 7.10.15 as a relative algebraic system:

_RC = ( ob _R C, Hom _R C, dom , cod , comp )

it contains the relative class ob _RCRelative class Hom _R CAnd three relative functions:

dom : Hom _RC → ob _R C, cod : Hom _RC → ob _R C,

comp: Hom _RC × Hom _R C→ Hom _R C；

wherein ob _R CMay be referred to as relative category _R COf an object class whose elements are called _R CThe object of (a); hom (Hom) _R CCan be called as _RCThe attitude class of (1), its element is called _R CCarrying out the attitude shooting; dom can be called _R CA region function of (a); cod can be called as _R CThe upper region function of (1); comp may be referred to as composition of state rays; they satisfy the following conditions:

( c1) For any one _R A, _RB ∈ob _R C, Hom _RC ( _R A, _R B) Is Hom _R CA subclass of (2) is also denoted as

_RC ( _R A, _R B) (ii) a If it isf ∈ _RC ( _R A, _R B) Then do mf ) = _R A, cod ( f ) = _R B；

( c 2) For any one _RA ∈ob _R CThere is onei ( _R A) ∈ _RC ( _R A, _R B) So that:

( d 1) If dom: (f ) = _RAComp (f , i ( _R A)) = f ；

( d 2) If cod (f ) = _RBComp (i ( _R B), f ) = f ；

( c3) To any of (f , g ) ∈Hom _RC × Hom _R CThe following equation holds true:

( d 1 ) dom ( comp ( f , g )) = dom ( g )；

( d 2 ) cod (comp ( f , g )) = cod ( f )；

( c4) To any of (f , g, h ) ∈Hom _RC × Hom _R C× Hom _R CThe following equation holds true:

comp ( f , comp ( g , h )) = comp ( comp ( f , g ) , h )；

f ∈ _RC ( _R A, _R B) Can be described asf : _R A→ _R B；comp ( f , g ) Can be described asf o g。

6. Dependent claims-for global value chain, the invention according to independent claim 1 builds a dynamic model system of planning and configuration "heaven and earth" calculations, this claim being characterized in that:

in the case where any GVC planning configuration system is attributed to a resource configuration system, it is assumed that the systems shareNA configuration node, the resource allocation quantity determined under a certain empowerment configuration strength is _d M(ii) a At the moment of timet Resource allocation densityΠ _d Can be defined as follows:

, ρ = 1, 2, ···, K ( 1. 42 )

wherein,Q _ρ is as followsρThe number of the configuration resources is not limited,Kin order to configure the number of categories of resources,σ _{d , ρ} is as followsρAn empowerment configuration strength of the configuration resource;

here, we can allocate resources denselyΠ _d The sequence parameter is selected as a sequence parameter for describing the macroscopic state of the GVC planning configuration system and is called as a collaborative state variable;

suppose the outside world is at a timetResource flow provided to the system _E MInvolving energy flow _EE MFlow of matter _EMMAnd information flow _EI MNamely:

( 1. 43 )

wherein, _EEQ _{, υ} is provided for the outsideυ _E The amount of the energy flow of the seed, _E Vas to the number of kinds of the energy flow,σ _{EE , υ} is provided for the outsideυ _E An assigned configuration strength of the seed energy stream; _EMQ _{, υ} is provided for the outsideυ _M The amount of the seed material flow is, _M Vas to the number of species of the material flow,σ _{EM , υ} is provided for the outsideυ _M (ii) an assigned weight configuration strength of the seed stream; _EIQ _{, υ} is provided for the outsideυ _I The number of the seed information streams, _I Vfor the number of categories of the information stream,σ _{EI , υ} is provided for the outsideυ _I The strength of the empowerment configuration of the seed information stream;

planning and configuring system cooperative variables in GVCx _n−21( t ) And GVC planning configuration system co-variablesx _n2( t ) The following factors, which may be referred to as "perfect cofactors" may be introduced in between:

( 1. 48 a )

( 1. 48 b )

assume a short time interval delta from the initial valuetOf the hourx _{n− 21} ( t ) Mean difference and sum of mean square error ofx _{n− 21} ( t ) The mean difference and the mean square difference of (1) are respectively obtained by the initial conditionsx _{n− 21} ( 0) = x _{n− 21, 0} And initial conditionsx _{n 2} ( 0) = x _{n 2, 0} Average value after repeated integration< >Calculating; using this calculation the following results were obtained:

( 1. 49 a )

( 1. 49 b )

( 1. 50 a )

( 1. 50 b )

now, the langevin equation, which may be referred to as the "complete cofactor dynamics equation", is given as follows:

( 1. 51 a )

( 1. 51 b )

it is assumed here thatξ _n−21( t ) Andξ _{n 2}( t ) Are all GaussδAn associated random force;

under certain system dynamic effect constraint relation and system organization coordination constraint conditions, various configuration organizations utilize various configuration modes and various resource elements to 'drive' system situation vectors to form motion; therefore, under the condition of certain constraint of system dynamic effect and system organization coordination,

should consist of a superposition of these competing partial derivatives:

, i = 1, 2, ∙∙∙, s ( 1. 40 )

s. t.

, j = 1, 2, 3

wherein each term represents an effect; in general, it depends on the system situation vectorSocial organization configuration

And the nonlinear action of certain control parameters;

also, trend parameters

The time derivative (which determines the formula for the transition probability) represents the basis and co-organization of the dynamic effects that tend to alter the system situation vector, and also consists of the superposition of partial derivatives with a competitive effect:

, l = 1, 2, ∙∙∙, T 。

7. dependent claims-for global value chains, technical embodiments of the invention according to independent claim 1 for establishing planning configuration "heaven and earth" calculations, the rights being characterized in that:

for a global value chain, the inventor divides a complete synergistic factor restriction condition and constraint relation system into five basic types, sixteen main types and eighty one special type; these sixteen main types are as follows:

external centralized cooperation/internal centralized cooperation type complete cooperative factor restriction condition and restriction relationship system;

an external centralized cooperation/internal centralized competition type complete cooperative factor restriction condition and constraint relation system;

an external centralized cooperation/internal decentralized cooperation type complete cooperative factor restriction condition and restriction relationship system;

an external centralized cooperation/internal decentralized competition type complete cooperative factor restriction condition and constraint relation system;

an external centralized competition/internal centralized cooperation type complete cooperative factor restriction condition and constraint relation system;

an external centralized competition/internal centralized competition type complete cooperative factor restriction condition and constraint relation system;

an external centralized competition/internal distributed cooperation type complete cooperative factor restriction condition and restriction relationship system;

the external centralized competition/internal distributed competition type completes a synergistic factor restriction condition and a constraint relation system;

an external decentralized cooperation/internal centralized cooperation type complete cooperative factor restriction condition and restriction relation system;

an external decentralized cooperation/internal centralized competition type complete cooperative factor restriction condition and restriction relationship system;

external decentralized cooperation/internal decentralized cooperation type complete cooperative factor restriction condition and restriction relationship system;

external decentralized cooperation/internal decentralized competition type complete cooperative factor restriction condition and constraint relation system;

an external decentralized competition/internal centralized cooperation type complete cooperative factor restriction condition and constraint relation system;

an external decentralized competition/internal centralized competition type complete synergistic factor restriction condition and constraint relation system;

an external decentralized competition/internal decentralized cooperation type complete cooperative factor restriction condition and constraint relation system;

and the external dispersed competition/internal dispersed competition type completes a synergistic factor restriction condition and a constraint relation system.

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