CN102624798A - Computing technology basis of intelligent integrated system for planning and configuring regional value chain - Google Patents

Computing technology basis of intelligent integrated system for planning and configuring regional value chain Download PDF

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CN102624798A
CN102624798A CN201110335696XA CN201110335696A CN102624798A CN 102624798 A CN102624798 A CN 102624798A CN 201110335696X A CN201110335696X A CN 201110335696XA CN 201110335696 A CN201110335696 A CN 201110335696A CN 102624798 A CN102624798 A CN 102624798A
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李宗诚
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Abstract

The invention provides a computing technology basis of an intelligent integrated system for planning and configuring a regional value chain. In order to reform a cloud computing system to a heaven-earth computing system blending everything on an established brand new logic basis, an established brand new mathematical basis and an established brand new scientific basis, the computing technology basis, which is a new technology, is established in a user-centered manner and then in the manner of taking a multi-level global value chain (GVC) as a center, by taking the connection and the harmonization conducted by a cognitive system and a practice system on the basis of a computer aided system and the internet as an evolution process of a hybrid intelligent integrated system (HIIS), and by establishing a basic model, a normal form and an equation system of network configuration kinetics and a basic model, a normal form and an equation system of game organization synergetics. The computing technology is the item 358th in a cluster (the full name is an engineering network technology support system of a value chain system [DCN/IIL(VC)]) of six hundred invention patents submitted by the applicant Li Zongcheng to the Chinese national patent office through an electronic system on September 2011.

Description

Computing technology foundation of intelligent integrated system for planning and configuring regional value chain
Technical Field
The invention is a patent cluster of 600 inventions (item 358 in the global value chain network technology support system [ DCN/iil (vcse)) ] officially submitted to the national patent office by an electronic system in the year 2011 9 by the applicant of li honesty.
The invention and the invention patent cluster (the general name is the 341 item, 342 item, 343 item, 344 item, 345 item, 346 item, 347 item, 348 item, 349 item, 350 item, 351 item, 352 item, 353 item, 354 item, 355 item, 356 item, 357 item, 359 item, 360 item in the global value chain network technology support system [ DCN/IIL (VCSE) ], together form the invention patent cluster 'regional value chain planning configuration ICT technology support system (ICT-PAM/[ RVC ])'.
The applicant proposes a "global value chain network technology support system [ DCN/IIL (VCSE) ], which comprises 600 patents including the invention, the 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 a General Intelligent Integrated System (GIIS) upgrading process, a brand-new logic foundation, a brand-new mathematical foundation, a brand-new scientific foundation and a brand-new technical foundation and a brand-new 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 collaborative network computer system (CS/HSN (GII)) is established, and the global Internet is created into a technical support system which has the nature of life and ecological holographic collaborative organization. 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 and technical 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 scattered at each department of all fields of the world, global value chain system engineering is vigorously carried out, and a global intelligent integrated dynamic convergence 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 an intelligent integrated system for planning and configuring a regional value chain through a brand-new logic basis, a mathematical basis, a scientific basis, a brand-new technical basis and a brand-new just 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 for regional value chain planning configuration, planning organization and planning management (PA/RVC), is an intelligent integrated technical basis for regional value chain and regional value chain planning configuration systems, and is a key for guiding people, organizations and organizations from ever-variable 'clouds' (computing systems) to 'heaven and earth' (brand-new computing systems) conflating everything.
The PA/RVC is a solution of regional value chain system engineering, which introduces the service strategy and operation mode of the regional value chain into the whole regional value chain planning configuration internal and external association system taking the information system as the backbone by means of brand-new information technology and network technology, and not only is the technology change, but also the comprehensive integration and configuration of all the processes related to personnel, funds, logistics, manufacturing and regional value chain organization, which are related to the internal and external of the regional value chain organization, across regions or across countries are involved.
The PA/RVC is regional value chain configuration software which integrates 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 relevance of regional 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 planning configuration of the regional value chain 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 planning configuration of the regional value chain. The method comprises the steps of configuring internal and external associated user/service system architectures by regional value chain planning, and applying open system manufacturing by using a graphical user interface. In addition to existing standard functionality, it includes other features such as quality of association inside and outside the regional value chain planning configuration, process operational configuration, and adjustment reporting of association inside and outside the regional value chain planning configuration. In particular, the underlying technology employed by the PA/RVC will simultaneously configure the independence of both internal and external associated user software and hardware for regional value chain planning to be more easily upgraded. The key to the PA/RVC is that all users associated inside and outside the regional 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 the increasing financial risk, the market competition is further intensified, the competition space and range of the regional 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 comprehensively configuring resources inside a regional value chain, and then gradually develop into a configuration idea how to effectively utilize and configure the whole resources. In this situation, Lizong first proposed a concept report for PA/RVC.
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 integrated from a product value chain PVC (PVC) and a regional value chain RVC (RVC), to an industrial value chain IVC and a regional value chain RVC, to a national value chain NVC (NVC) and a global value chain GVC (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 regional 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 modify a neglected and indefinite 'cloud' computing system into a 'heaven and 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 and earth' computing by taking the connection and coordination of an RVC cognitive system (RS and a computer aided system thereof) and an RVC practice system (PS and a computer aided system thereof) as a principal line of an evolution process of a high-level intelligent integration 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 heaven and earth computation, RVC planning and configuring heaven and earth computation facing to an area value chain is the development of Distributed processing (Distributed Computing), Parallel processing (Parallel Computing), Grid Computing (Grid Computing) and Cloud Computing (Cloud Computing) in the area value chain, 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 regional value chain or the network integration of measurement science, statistical theory and accounting is realized.
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 regional 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 regional 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 the RVC planning configuration space-ground calculations involves the idea of combining forces for use by each member outside and inside the regional 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, regional 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 RVC planning configuration is the fundamental idea of the calculation from the top to the bottom, namely a dynamic communication network system formed by the integration of three networks of logistics, knowledge and finance under the support of an information network provides the internal and external calculation power, the storage space, the software function and the internal and external services for the planning configuration of the regional value chain and the like of the information network required by a user.
A2, regional value chain planning configuration takes a value chain as a core, and the internal and external service capacity has the extension and contraction capacity of minute level or second level.
If the service capability of planning and configuring the internal and external resource nodes of the regional value chain 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 internal and external service nodes planned and configured by the regional value chain within a minute and a few minutes, and the number of the internal and external service nodes 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 space calculation, enough resources inside and outside the planning configuration of a regional value chain are required to be possessed to cope with the peak flow of a dynamic convergence network system, and even a hot spot of 'Olympic horse' suddenly appears. After a formation, the network system flow is dynamically converged, and the number of external service nodes in the regional 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 regional value chain planning configuration takes the value chain as the core and has cost performance advantage more than several times of the 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 planning and configuration regional value chain, the hardware cost inside the regional value chain is reduced by software fault tolerance, the power cost is saved by deploying the internal facilities of the regional value chain calculated by the planning and configuration heaven and earth in cold areas and areas rich in power resources, 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 regional value chain, software fault tolerance is used for reducing the cost of external hardware of the regional value chain, the regional value chain external facilities calculated by planning and configuring the heaven and earth are deployed in low-cost and low-consumption regions to save the operation cost, and the resource utilization rate is improved through large-scale sharing.
(1.2) RVC planning and configuration of the main service forms of heaven-earth calculation:
A1. SAAS/HSO [ RVC ] (regional value chain planning configuration internal and external software as a service)
SAAS/HSO [ RVC ] (regional 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 the regional value chain planning configuration. In the view of external users inside and outside the planning and configuration of the regional value chain, the expenses on the authorization of external servers and software inside and outside the planning and configuration of the regional value chain can be saved; from the perspective of the regional value chain planning configuration, and external suppliers, 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. Regional value chain planning configuration internal and external Utility Computing (Utility Computing/HSO [ RVC ])
Regional value chain planning configuration internal and external Utility Computing (Utility Computing/HSO [ RVC ]) 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 regional value chain planning so that the regional value chain planning and configuration internal and external storage, the I/O equipment and the regional value chain planning and configuration internal and external calculation capacity can be integrated into an information network internal and external resource sea to provide service for the whole dynamic convergence network.
A3. Regional value chain planning configuration of internal and external services
Regional value chain planning and configuration internal and external services are improvement and expansion of regional value chain services.
Closely related to SAAS/HSO [ RVC ], external service providers in regional value chain planning configurations can provide APIs to allow developers to develop more dynamic-convergence-network-based applications, rather than just providing regional value chain internal programs.
A4. Regional value chain planning configuration internal and external platform as-a-service
The regional value chain planning configuration internal and external platforms, namely services, are improvement and expansion of the platforms, namely the services.
This is another SAAS/HSO [ RVC ] form of planning configuration, which provides the regional value chain planning configuration and external development environment as a service. You can use the intermediary's equipment to develop their own regional value chain planning configuration internal and external programs and pass them to the user through the dynamic converged network and its server.
A5. MSP/HSO [ RVC ] (regional value chain planning configuration internal and external management service provider)
MSP/HSO [ RVC ] (regional value chain planning configuration internal and external management service providers) is an improvement and extension of MSP (management service provider).
More particularly, the application is to an internal and external management service provider for regional value chain planning configuration rather than an end user, and the application can be used for external input scanning, program monitoring and the like for regional value chain planning configuration.
A6. Regional value chain planning configuration internal and external business service platform
The regional value chain planning configuration internal and external business service platforms are improvement and expansion of the business service platform.
A hybrid application of SAAS/HSO [ RVC ] and MSP/HSO [ RVC ] that provides a platform for interaction between external users and providers within a regional value chain planning configuration. Such as regional 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 based on the subscriber's settings.
A7. Regional value chain planning configuration internal and external integration
Internal and external integration in regional value chain planning configuration is 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 regional value chain planning configuration.
(1.3) brief example of mathematical description formed by intelligent integration technology: mathematical description of the regional value chain "man-machine-interface" composition.
In a regional value chain "one 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/RVC to be vigorously developed and established is information integration facing to regional Value Chain Planning Operation (Planning Operation of Enterprise Value Chain), and the PA/IVC is information integration facing 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/RVC combines products, projects and fields which are longitudinally and transversely related on an area value chain, and has a series of brand-new technologies as follows:
MS (OP [ RVC ]) analysis technique as regional value chain planning configuration meta-system analysis technique
BM/RD (relevance vector regression) analysis technology as basic unit analysis technology for planning and configuring regional value chain
DS/RD (direct sequence/reverse redundancy check) analysis technology as dynamic system analysis technology for planning and configuring regional value chain
Power effect comparison advantage analysis technology for regional value chain planning configuration system
Analysis technique of-CA/SDE [ RVC ]
GOS (general GOS (genetic engineering research center)) analysis technology for regional value chain planning and configuration game organization synergetics analysis technology (I)
Analysis technique of regional value chain planning and configuration production function-PF (proportion factor) RVC (relevance vector machine) analysis technique
FV (FV RVC) analysis technology as regional value chain planning and configuration system efficacy value analysis technology
Regional value chain planning configuration hedging balance economics analysis technology
-impact (V-F [ RVC ]) analysis technique of efficacy chain and financing chain
NA/V-F (DC RVC) technology as analysis technology of regional value chain planning configuration whole network hedging balance table
Regional value chain planning configuration game organization synergetics analysis technology (II)
-GOS (DC [ RVC ]) analysis paradigm
IIM [ RVC ] analysis design technology, main body analysis design technology for planning and configuring regional value chain
IIC (inter Integrated Circuit) RVC (relevance vector machine) analysis design technology for regional value chain planning configuration load
IIW [ RVC ] analysis design technique-area value chain planning configuration mode analysis design technique
IIS (IIS [ RVC ] analysis design technology, which is analysis design technology of regional value chain planning configuration system
IIE (IIE RVC) analysis design technology, namely regional value chain planning configuration environment analysis design technology
IISE (IISE RVC) analysis design technology, which is an engineering analysis design technology for regional value chain planning and configuration system
SFS (small form-factor pluggable) (RVC) analysis technology as social just system engineering technology for planning and configuring regional value chain
Intelligent integrated heaven and earth computing mode-GIICM RVC for planning and configuring regional value chain,
Intelligent integrated whole-new operation system for regional value chain planning and configuration-GIIOS (RVC)
Intelligent integrated dynamic convergence network-GIIN (relevance vector control) technical system for regional value chain planning and configuration
The steering controller in the regional value chain "human-machine" interface primarily delivers control information for the robot. 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 regional value chain perception-action system as follows:
Figure DEST_PATH_IMAGE002
in addition to the elements of the object and its system, the regional value chain planning and configuration technology can also be composed of people and their organizations. The latter may be referred to as regional value chain planning configuration technology organization or 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 regional value chain planning and configuration technical organization comprises a consultation technical organization, an information technical organization, a guarantee technical organization, an exchange technical organization, an agent technical organization, a training technical organization, a verification technical organization, a coordination technical organization, an evaluation technical organization and the like.
A hierarchical decomposition mathematical model based on structure and behavior is provided for the regional value chain planning and configuration technology. Is provided withWPlanning and configuration technology for representing regional value chain, pairWAfter hierarchical decomposition is carried out according to the structure and the function,Wcan be structurally represented as a hierarchical set
Figure DEST_PATH_IMAGE004
( 2. 25 )
Wherein iW ( i= 1, 2, …, n) isWThe sub-technique of (1).
Regional value chain planning and configuration technologyWHierarchical directed graph with hierarchical decomposition by structure and functionBIs defined as a doublet
B = ( VD ) ( 2. 26 )
Wherein
Figure DEST_PATH_IMAGE006
In order to be a set of nodes, the node sets,D = W ×Wis a set of directed edges connecting nodes.
ByBOf the connection matrixACan 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:
Figure DEST_PATH_IMAGE008
( 2. 27 )
Figure DEST_PATH_IMAGE010
( 2. 28 )
using reachability matricesEBMiddle node setVCan be decomposed intornLevel of hierarchyV l V 2 ,…, n VWherein
Figure DEST_PATH_IMAGE012
Figure DEST_PATH_IMAGE016
Here, them ( ≤ n ) Is to make
Figure DEST_PATH_IMAGE018
Is a positive integer of (1). This is called a hierarchy (1 ev-structure).
This hierarchy can be explained as follows: regional value chain planning and configuration technologyWEach 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)ANClassification hierarchy structure relationship (reachability matrix relationship)E) Is organically connectedTo do so.
Generalized technique with single nodeWForming the first level of a hierarchical decomposition model, and a hierarchical directed graphBAnd forming a second level of the regional value chain planning configuration technology level 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
Figure DEST_PATH_IMAGE020
( 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 regional 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 regional value chain intelligent algebra and total commutative 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 regional 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 modify a neglected and indefinite 'cloud' computing system into a 'heaven and earth' computing system which can link all things and run 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 convergence generation system for planning and configuring 'heaven and earth' computing by taking the connection and coordination of an RVC cognitive system (RS and a computer aided system thereof) and an RVC practice system (PS and a computer aided system thereof) as a principal line of an evolution process of a high-level intelligent integration system (HIIS).
(2.1) optimizing the multi-stage path of the regional value chain planning and 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 regional value chain planning and configuring process can be regarded as a continuous recursion process, and the calculation is gradually carried out from back to front. 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 regional 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:
Figure DEST_PATH_IMAGE022
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 planning and configuration process of the regional value chain 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 regional value chain planning configuration process can be regarded as the expansion of dynamic planning, and comprises the following steps:
planning and configuring a path optimization of organization facing to the regional value chain (dynamic planning A);
optimizing a path of a planning configuration object facing the regional value chain (dynamic planning B);
path optimization (dynamic planning C) facing to the regional value chain planning configuration technology;
path optimization for regional value chain planning configuration environment (dynamic planning D):
if the phase number in the multi-phase path network in the regional value chain planning and configuring process is opposite to the phase number of the actual problem, the method for dynamically planning the optimization path can obtain a recurrence relation as follows:
Figure DEST_PATH_IMAGE024
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
kx + 1 = kT ( k x, k u)
Showing it. We may refer to the state transition equation.
If from k xStarting from, there are
Figure DEST_PATH_IMAGE026
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Thus, it is possible to obtain
Figure DEST_PATH_IMAGE030
And
Figure DEST_PATH_IMAGE034
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
kx = 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, with
Figure DEST_PATH_IMAGE036
The basic equation of the sequential solution thus available is expressed as
Figure DEST_PATH_IMAGE038
Wherein kx 1 = T * k 1 ( k x, ku 1)。
(2.2) the regional value chain planning configuration network can be regarded 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 regional value chain planning and 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 new comprehensive analysis framework system of the regional value chain planning and configuration system game organization synergetics mainly comprises: a regional value chain intelligent big system game rule synergetics two-level currency analysis method framework; a regional value chain intelligent big system game mode synergetics two-pole currency analysis method framework; a regional value chain intelligent large system game organization synergetics two-level currency analysis method framework. 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 new balance analysis framework system of the comprehensive integration mathematics of the regional value chain planning configuration 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 regional value chain intelligent big system game organization synergetics analysis is shown in figure 4; the basic flow of the external communication dynamics integrated analysis of the intelligent large system of the regional value chain is shown in FIG. 5; the basic flow of the dynamic integration analysis of the intelligent large system transition process of the regional value chain is shown in FIG. 6; the basic flow of the dynamic integration analysis of the external synergistic factors of the intelligent large system of the regional value chain is shown in FIG. 7; the basic flow of the dynamic integration analysis of the synergistic factors in the intelligent large system of the regional value chain is shown in FIG. 8.
As a process of a total convergence system, the regional value chain planning and configuration based on holographic convergence analysis always takes the RVC planning and configuration system problem as a main object. The RVC planning and configuration system has different characteristics from the common linear system, which are mainly characterized in that: structural non-linearity, system dynamics and openness, and uncertainty and incompleteness of information. In view of the characteristics of the complex regional value chain planning configuration problem, only a quantitative model is relied on
It is difficult to describe and solve the complex regional value chain planning configuration problem. From the perspective of regional value chain planning configuration based on holographic convergence analysis, we can see that the solution process of the complex regional value chain planning configuration problem needs to be supported by a diversified model. According to the cognitive hierarchy of the complex regional value chain planning and configuration problem, the present section provides a concept model, a structure model and a mathematical model in a diversified model system of the complex regional value chain planning and configuration problem, and discusses the three models.
If regional value chain planning configurator is to state spaceΘThe information is completely known and can be called as a deterministic regional value chain planning configuration problem; to the state spaceΘThe information part of (2) is known and can be called as a risk type regional value chain planning configuration problem; to the state spaceΘIs not known and can be referred to as an uncertain regional value chain planning configuration problem. The nature of the regional value chain planning configuration problem is unchanged before information is obtained, the risk type regional value chain planning configuration is still the risk type regional value chain planning configuration, and knowledge adds an action for obtaining complete information.
Assume two polesThe currency analysis system comprisesmIndividual 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 togetherRRThe 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:
Figure DEST_PATH_IMAGE040
( 3. 7. 60 )
here, the
Figure DEST_PATH_IMAGE042
Figure DEST_PATH_IMAGE044
And is and
Figure DEST_PATH_IMAGE046
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
Figure DEST_PATH_IMAGE048
j = 1, 2, ···, m。 ( 3. 7. 61 )
The column vector can be obtained by the formula (3.7.61)
Figure DEST_PATH_IMAGE050
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
Figure DEST_PATH_IMAGE052
Specific gravity of
Figure DEST_PATH_IMAGE054
( 3. 7. 62 )
The block matrixes are processed as above to obtain the block matrixes respectively
Figure DEST_PATH_IMAGE056
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
Figure DEST_PATH_IMAGE058
The weight coefficient of (c).
Combining the above analysis to obtain attributes j PThe two poles are communicated:
Figure DEST_PATH_IMAGE060
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
Figure DEST_PATH_IMAGE062
( 3. 7. 64 )
And
Figure DEST_PATH_IMAGE064
the same way is found to obtain l PAnd L Pin thatP′ [ k ]Specific gravity of
Figure DEST_PATH_IMAGE066
And
Figure DEST_PATH_IMAGE068
Figure DEST_PATH_IMAGE070
( 3. 7. 65 a )
Figure DEST_PATH_IMAGE072
( 3. 7. 65 a )
and i athe same method is obtainedA min AndA max
Figure DEST_PATH_IMAGE074
, ( 3. 7. 66 )
Athe two poles are confluent toA = A max / A min
Through the above pairs i aAndAto construct the metric matrix accordingly:
Figure DEST_PATH_IMAGE078
( 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
Figure DEST_PATH_IMAGE080
To HH YMay be referred to as a holographic convergence set HH XOne ofnAnd (4) performing element operation. If it is not
Figure DEST_PATH_IMAGE082
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
Figure DEST_PATH_IMAGE084
For thex + y EXIIntroducing a holographic commutative functionμ HH Then there is
Figure 539261DEST_PATH_IMAGE084
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
Figure 193096DEST_PATH_IMAGE086
c ) ( x + y ) + z = x + ( y + z ) (Joint law)
For thex + y IN IIntroducing a holographic commutative functionμ HH Then there is
Figure DEST_PATH_IMAGE088
For thex + y EXIIntroducing a holographic commutative functionμ HH Then there is
Figure 966011DEST_PATH_IMAGE088
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 this binary is called the "Huitong" of the two elementsIs at 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 hologramA currency generation system and in a holographic currency collection HH XThe number of the elements in (A) is more than 1. If there is a unita in the algebraic systemeAnd zero elementθThen, thenθe
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 it is a combinable combining operation, then this holographic combining is substitutedThe left inverse of any element in the number 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,
Figure DEST_PATH_IMAGE090
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 a convergent group. For thea, bGMust 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 form a confluent groupIt is called holographic convergent 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 regional 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 regional 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 (RVC) in the regional value chain refers to centralization and cooperation CC (RVC) among all links (or stages) in the regional value chain; the transverse integration TI (RVC) on the regional value chain refers to the centralization and cooperation CC (RVC) among all departments (or projects) on the regional value chain; longitudinal non-integrated LNI (RVC) on a regional value chain refers to the decentralization and competition DK (RVC) among all links (or stages) on the regional value chain; the horizontal non-integrated TNI (RVC) on the regional value chain refers to the decentralization and competition DK (RVC) among all departments (or projects) on the regional 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 mG }, jG ={ G j1, G j2, ···, n jG }
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 jG= secondiThe actual manufacturing department (or set of items) on the value chain,
………………………………
i mG= 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 jG= secondiValue chain ofjDepartments (or sets of projects) on an individual link (or stage),
………………………………
n jG= secondnValue chain ofjDepartment (or project group) on an individual link (or stage);
i) The vertical integration LI (RVC) on the regional value chain based on the centralized organization cooperation mechanism can be represented by the following form:
LI ( i [ RVC ] ) = LI( i G, RVC [ CC ]; HHI ≥ 1800 ) ( 1. 13. 14 )
wherein iG ={ i G 1 , i G 2 , ···, i mG },
Figure DEST_PATH_IMAGE092
Here, the analysis will be applied to the whole industry
Figure DEST_PATH_IMAGE094
The measure model is properly improved to become an exponential measure method suitable for the longitudinal integration analysis of the regional value chain. At present, HHI is a business
Figure DEST_PATH_IMAGE096
Herstellar-Herhman index of the value chain, in whichjRepresenting the total number of units of the regional value chain,
Figure DEST_PATH_IMAGE098
representing a business
Figure 866840DEST_PATH_IMAGE096
Value chain ofjThe total output of the department to which the enterprise belongs in the link,
Figure DEST_PATH_IMAGE100
is shown asjLink enterprise
Figure 708894DEST_PATH_IMAGE096
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) regional value chain landscape integration TI (RVC) based on a centralized organization collaboration mechanism can be represented in the following form:
TI ( j [ RVC ] ) = LI( j G, RVC [ CC ]; HHI ≥ 1800 ) ( 1. 13. 14 )
wherein jG ={ G j1, G j2, ···, n jG },
Figure DEST_PATH_IMAGE102
Here, the analysis will be applied to the whole industry
Figure DEST_PATH_IMAGE104
The measure model is properly improved to become an exponential measure method suitable for the horizontal integration analysis of the regional value chain. At present, HHI is a business
Figure 415688DEST_PATH_IMAGE096
Value chain ofj(ii) a cyclic Herstellar-Herhman index, whereiniRepresenting the total number of units of the regional value chain,
Figure 292377DEST_PATH_IMAGE098
representing a business
Figure 927889DEST_PATH_IMAGE096
Value chain ofjThe total output of the department to which the enterprise belongs in the link,is shown asjLink enterprise
Figure 456139DEST_PATH_IMAGE096
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-integral LNI (RVC) on the regional value chain based on the decentralised organization competition mechanism can be represented as follows:
LNI ( i [ RVC ] ) = LNI( i G, RVC [ CC ]; HHI < 1400 ) ( 1. 13. 14 )
wherein iG ={ i G 1 , i G 2 , ···, i mG },
Figure DEST_PATH_IMAGE106
Here, the analysis will be applied to the whole industry
Figure 436602DEST_PATH_IMAGE094
The measure model is properly improved to become an exponential measure method suitable for the longitudinal integration analysis of the regional value chain. At present, HHI is a business
Figure 429966DEST_PATH_IMAGE096
Herstellar-Herhman index of the value chain, in whichjRepresenting the total number of units of the regional value chain,
Figure 246612DEST_PATH_IMAGE098
representing a businessValue chain ofjThe total output of the department to which the enterprise belongs in the link,
Figure 585638DEST_PATH_IMAGE100
is shown asjLink enterprise
Figure 749903DEST_PATH_IMAGE096
The 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 regional value chain based on the decentralised tissue competition mechanism is represented in the form of a laterally non-integrating TNI (RVC):
TNI ( j [ RVC ] ) = LNI( j G, RVC [ CC ]; HHI < 1400 ) ( 1. 13. 14 )
wherein jG ={ G j1, G j2, ···, n jG },
Here, the analysis will be applied to the whole industry
Figure 365430DEST_PATH_IMAGE104
The measure model is properly improved to become an exponential measure method suitable for the horizontal integration analysis of the regional value chain. At present, HHI is a business
Figure 906133DEST_PATH_IMAGE096
Value chain ofj(ii) a cyclic Herstellar-Herhman index, whereiniRepresenting the total number of units of the regional value chain,
Figure 346341DEST_PATH_IMAGE098
representing a businessValue chain ofjThe total output of the department to which the enterprise belongs in the link,
Figure 223479DEST_PATH_IMAGE100
is shown asjLink enterprise
Figure 630189DEST_PATH_IMAGE096
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 regional 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 efficiency, basic consumption, internal cooperation and competition and external cooperation and competition of a general RVC 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 is considered to introduce appropriate sequence parameters for describing the macro state of the general RVC planning and configuration system, appropriate control parameters for reflecting the external environment action, and appropriate 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 RVC planning and configuration system.
For any RVC planning configuration system, the sequence parameters can be used as basic variables for describing 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 of attributing any RVC planning configuration system as 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:
Figure DEST_PATH_IMAGE110
, 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 Are selected as sequence parameters for describing the macro state of the RVC planning configuration system and are referred to as collaborative state variables.
Further, for the RVC 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 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 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 RVC planning configuration system and are referred to as coordinated control variables.
Furthermore, the RVC 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 can getSatisfy the system efficacy 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 collaborative variables for RVC 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:
Figure DEST_PATH_IMAGE118
( 1. 45 )
wherein,k n−21 configuring system coordinated variables for RVC planningx n−21( t ) A trend parameter of (c).
Configuring system collaborative variables for RVC planningx n2( t ) ( nDistribution of = 1, 2, ·, 10), giving the "drift factor" containing the transition probability as follows:
Figure DEST_PATH_IMAGE120
( 1. 46 )
and gives the "fluctuation factor" with transition probability as follows:
Figure DEST_PATH_IMAGE122
( 1. 47 )
wherein,k n2configuring system coordinated variables for RVC planningx n2( t ) A trend parameter of (c).
Planning and configuring system collaborative variables in RVCx n−21( t ) And RVC planning configuration system collaborative variablesx n2( t ) The following factors, which may be referred to as "perfect cofactors" may be introduced in between:
( 1. 48 a )
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( 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:
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( 1. 49 a )
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( 1. 49 b )
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( 1. 50 a )
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( 1. 50 b )
now, the langevin equation, which may be referred to as the "complete cofactor dynamics equation", is given as follows:
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( 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
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( 1. 52 a )
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( 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
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( 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 organizationSystem situation vector
Figure DEST_PATH_IMAGE154
(wherein [ SS ]]Representing internal and external co-organizational relationships) and trending parameters
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(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
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( 1. 38 )
Now, the entire space of kinetic variables contains not only the system situation vectors
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And trend parameter
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And includes social organizational configuration variables
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As a first step in this exploration, it is necessary to establish modern gaming group configurations
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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
Figure DEST_PATH_IMAGE168
( 1. 39 )
Herein, the
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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,
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/
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forming a system power relation;
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/
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forming a system effect relation;
/
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forming an ecological power relationship;
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/
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forming an ecological effect relationship;
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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,
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should consist of a superposition of these competing partial derivatives:
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, i = 1, 2, ∙∙∙, s ( 1. 40 )
s. t.
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, j = 1, 2, 3
wherein each term represents an action. In general, it depends on the system situation vector
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Social organization configuration
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And some kind of nonlinear effects of control parameters.
Also, trend parameters
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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
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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
Figure 273658DEST_PATH_IMAGE160
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
Figure 278524DEST_PATH_IMAGE164
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 internal and external data of the planning configuration of the regional value chain are safe and reliable
The planning and configuration heaven-earth calculation provides the most reliable and safe data storage center inside and outside the regional value chain planning and configuration, and the trouble of data loss, virus invasion and the like can not be worried by users inside and outside the regional value chain planning and configuration. 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 most professional teams inside and outside are configured to help you manage information by regional value chain planning all over the world, and the most advanced data centers inside and outside are configured to help you save data by regional value chain planning all over the world. Meanwhile, the regional value chain planning configuration of an internal and external strict authority management strategy can help you to safely share data with people you specify.
C2, the demand of external clients in planning and configuring the regional value chain is low
The planning configuration heaven-earth calculation has the lowest requirement on equipment of external clients in the planning configuration of the regional value chain, and the planning configuration is most convenient to use. You can directly edit the document stored at the other end of the world in the internal and external browsers for planning and configuring the regional value chain, 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 planning and configuring the regional value chain is the latest version or not, and worry about the fact that the internal and external software for planning and configuring the regional value chain or the document is infected with viruses. At the other end of the world, technical personnel with regional value chain planning and configuration internal and external specialties help you maintain hardware, help you install and upgrade regional value chain planning and configuration 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, easily sharing data inside and outside the planning configuration of regional value chain
The planning and configuration heaven-earth calculation can easily realize the data and application sharing between different external devices in the regional 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 for planning and configuring the internal and external different devices of the regional value chain are various and complex to operate, the latest contact information needs to be stored and maintained among the internal and external different devices of the regional value chain planning and configuring, and therefore, the time and the energy which are difficult to count need to be paid for the latest 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. regional 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 the internal and external data of the regional value chain planning and configuration, and provides almost infinite computing capability for people to finish various applications inside and outside the regional value chain planning and configuration. Away from planning and configuring heaven-earth computation, the client application on a personal computer or a mobile phone is used alone, and people cannot enjoy the convenience of planning and configuring the inside and the outside of the regional value chain. It is not possible for a personal computer or other electronic device to provide unlimited storage space and computing power inside and outside the regional 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 regional 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 regional value chain planning configuration on the heaven and earth, we believe that our knowledge of the regional value chain planning configuration of internal and external hardware devices, application software and even dynamic convergence networks 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 the regional value chain planning and configuration is performed by ordinary users inside and outside or by employees of enterprises inside and outside, whether managers inside and outside, or software developers inside and outside, 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 calculation requires more comprehensive support than in the past, and more regional value chain planning and configuration internal and external software, platforms or regional value chain planning and configuration internal and external infrastructure needs 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 process of a total convergence system, the regional value chain planning and configuration based on holographic convergence analysis always takes the RVC planning and configuration system problem as a main object. The RVC planning and configuration system has different characteristics from the common linear system, which are mainly characterized in that: structural non-linearity, system dynamics and openness, and uncertainty and incompleteness of information. In view of the characteristics of the complex regional value chain planning configuration problem, only a quantitative model is relied on
Fig. 4, 5, 6, 7 and 8 illustrate:
the basic flow of regional value chain intelligent big system game organization synergetics analysis is shown in figure 4.
The basic flow of the regional value chain intelligent large system external communication dynamics integrated analysis is shown in figure 5.
The basic flow of the dynamic integration analysis of the intelligent large system transition process of the regional value chain is shown in FIG. 6.
The basic flow of the dynamic integration analysis of the external co-factor of the intelligent large system of the regional value chain is shown in FIG. 7.
The basic flow of the dynamic integration analysis of the synergistic factors in the intelligent large system of the regional value chain is shown in FIG. 8.
As a new intelligent system process, the regional value chain planning and configuration based on the bipolar convergence analysis always takes the RVC planning and configuration system problem as a main object. The RVC planning and configuration system has different characteristics from the common linear system, which are mainly characterized in that: structural non-linearity, system dynamics and openness, and uncertainty and incompleteness of information. In view of the characteristics of the complex regional value chain planning configuration problem, only a quantitative model is relied on
If regional value chain planning configurator is to state spaceΘIs fully understood and can be called a definite regional value chain gaugePlanning a configuration problem; to the state spaceΘThe information part of (2) is known and can be called as a risk type regional value chain planning configuration problem; to the state spaceΘIs not known and can be referred to as an uncertain regional value chain planning configuration problem. The nature of the regional value chain planning configuration problem is unchanged before information is obtained, the risk type regional value chain planning configuration is still the risk type regional value chain planning configuration, and 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 problem of planning and configuring the value chain of a complex area by depending on the knowledge and experience of people, is a qualitative analysis model and has the widest analysis degree on the problem; the mathematical model is a quantitative regional 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 regional value chain planning configuration problem on the basis of a conceptual model, and is a bridge for mutual connection between qualitative analysis and quantitative integration. The understanding of the problem of the planning and configuration of the complex regional value chain needs to be carried out in a certain depth and a certain extent. This requires the comprehensive use of the three types of models.
FIG. 9 illustrates:
for the ICT industry chain, a regional 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 regional value chain are users of the internet, as shown in fig. 9.
FIG. 10 illustrates:
as shown in fig. 10: in the design provided by the invention, the vertical integration LI (RVC) on the regional value chain refers to the centralization and cooperation CC (RVC) among all links (or stages) on the regional value chain; the transverse integration TI (RVC) on the regional value chain refers to the centralization and cooperation CC (RVC) among all departments (or projects) on the regional value chain; longitudinal non-integrated LNI (RVC) on a regional value chain refers to the decentralization and competition DK (RVC) among all links (or stages) on the regional value chain; the horizontal non-integrated TNI (RVC) on the regional value chain refers to the decentralization and competition DK (RVC) among all departments (or projects) on the regional 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,
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/
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forming a system power relation;
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/ forming a system effect relation;
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/
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forming an ecological power relationship;
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/ forming an ecological effect relationship;
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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/RVC 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 range, large investment, long implementation period, large difficulty and certain risk, and a scientific method is needed to ensure the success of project implementation.
C1 regional value chain planning configuration project implementation plan
According to the regional 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 regional 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 regional value chain planning configuration which are related internally and externally. The period is about 12 months. The method mainly completes the integration of related logistics and fund flow inside and outside the regional 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 regional value chain planning configuration which are related inside and outside the regional value chain planning configuration. The period is about 16 months. The method mainly realizes a holographic collaborative organization mode which takes the market related to the inside and the outside of the regional value chain planning configuration as the demand, takes the main planning driven longitudinally and transversely as the core and takes the input and output related to the inside and the outside of the regional value chain planning configuration as the main content, effectively controls the work-in-process, compresses the stock to the maximum extent, improves the delivery date and quickly meets the market demand.
Overall target for C2 planning configuration
aAnd promoting the transformation of the regional value chain from a traditional closed, low-efficiency and extensive configuration mode to a transparent, cooperative, normative and lean configuration mode by taking the implementation of the regional value chain planning configuration project as a trigger, and supporting the realization of the strategic target of the regional value chain.
bReinforcing regional value chain base configuration. Establishing a standard regional value chain planning configuration internal and external associated data standard and a coding system, and promoting the completion of the regional value chain; product design and process file standardized configuration related to the inside and the outside of the regional value chain planning configuration are enhanced; refining regional value chain planning configuration internal and external associationsRaw material consumption, working hours, capital occupation and equipment per hour quota allocation; standardizing regional value chain planning and configuring internal and external related regional value chain production period standards; enhancing the configuration of customer resource information associated with the inside and the outside of the regional value chain planning configuration; refining the cost expense and price configuration related to the inside and the outside of the regional value chain planning configuration; and (4) strengthening the planning configuration of the regional value chain, and configuring internal and external associated carrying processes and role specification.
cImprove configuration, decision-making methods. Information resource planning related to the inside and the outside of the planning configuration of the regional value chain, data integration of each subsystem and global sharing of a database are realized; establishing a regional value chain basic information structure which is related to the inside and the outside of the regional value chain planning configuration, wherein the regional value chain basic information structure comprises an integrated information network and a comprehensive and uniform data interaction format; planning and configuring a complete set of inventory configuration and analysis related to the inside and the outside by a regional value chain; the regional value chain planning configures internal and external associated process consumption cost accounting; planning and configuring internal and external associated credit risk control and customer resource configuration by the regional value chain; the integrated application of the main system operation planning, the material demand planning and the order configuration driven longitudinally and transversely; planning and configuring real-time cost accounting of internal and external associated sub-products by the regional value chain; fast quotation; planning and configuring profit budgets and profit-loss balance analysis related to the inside and the outside of the regional value chain; and (4) online multidimensional data analysis and decision application support.
  dAnd planning and configuring the regional value chain into a standard, improving the regional value chain configuration by the system, and supporting the regional value chain to carry out system evolution so as to form transparent, open, cooperative, standard and lean regional value chain culture.
Implementation content of C3 planning configuration
aRegional value chain planning configures internal and external associated logistics arrangements. Depending on the support of a brand-new information system, the requirements of planning and configuring the internal and external associated production systems of the regional value chain are transmitted in time and the regional value chain is connected with the regional production systemsInformation integration of the internal and external associated logistics systems of the value chain planning configuration quickly makes a quick response to the requirements of the internal and external associated production of the regional value chain planning configuration, and guarantees the integrity of the materials of the internal and external associated production of the regional value chain planning configuration. The regional value chain planning configuration system provides a demand plan for related production inside and outside the regional value chain planning configuration according to the system operation plan; the regional 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 regional value chain planning configuration internal and external associated logistics arrangement planning; establishing a perfect regional value chain planning configuration internal and external associated supplier configuration system by integrating the regional value chain planning configuration internal and external associated information of the regional value chain planning configuration system; the regional value chain planning configuration internal and external associated supplier delivery date, article quality and other information are used as supplier evaluation basis; combining the evaluation results of the relevant suppliers inside and outside the regional value chain planning configuration with the distribution of the logistics arrangement share and the payment policy; and establishing an information base for basic configuration such as internal and external related logistics arrangement period, economic batch, safety stock and the like in regional value chain planning configuration, and providing a basis for timely guaranteeing material supply.
bRegional value chain planning configures internal and external associated sales, inventory and production systems. The system operational plan is a schema file that directs regional 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 the regional value chain planning configuration can be generated at the same time. The system operation plan and the plans are in the relation of outline and purpose, and outline can be referred to as a target.
cRegional value chain planning configures internal and external associated cost configurations. Planning, accounting, controlling and managing production costs associated internally and externally to a regional value chain planning configurationAnd (3) configuring, namely establishing a regional value chain planning configuration internal and external associated department cost budgeting method, and comparing the method with the in-situ cost analysis, so that the budgeting is gradually learned and accurate by departments, and useful data is provided for regional value chain organization decision.
dThe regional value chain planning configures the internal and external associated due configurations. The regional value chain planning configuration internal and external related payable subsystems are mainly used for configuring various interactive funds between the regional value chain and a supplier in the operation process, effectively helping a regional value chain configurator to master the flow direction of funds, controlling the outflow of the regional value chain funds by monitoring the payment condition and forming a good cycle of the mobile funds. The regional value chain planning configures internal and external associated payable subsystems to fill 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 the future fund flow situation of the regional value chain organization in real time, the system related to the inside and the outside of the regional value chain planning configuration also provides rich inquiry statistical functions and is integrated with the logistics arrangement subsystem and the accounting subsystem related to the inside and the outside of the regional value chain planning configuration.
eRegional value chain planning configures the internal and external associated receivable configurations. The regional value chain organization realizes the sharing of data between the financial project departments and the sales departments which are related inside and outside the regional value chain planning configuration through the application of the regional value chain planning configuration system, and completes the communication of data information on the network; the income accounting form money of the financial project department related to the inside and the outside of the regional value chain planning configuration is registered by taking the sales invoice of the sales department as the basis; and (4) configuring the internal and external associated income accounting table for the regional value chain planning and aggregating the income accounting table according to the current users. Regional value chain planning configuration inside and outsideThe related collection and sale invoices are determined according to the basis, and the flow source is determined. 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 self-formed system established by the inventor of lie honest through independent free exploration for thirty years, 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 global value chain system (GVC) with multi-level and multi-mode is taken as a core, the method is characterized in that connection and coordination of a cognitive system and a practice system based on a computer aided system and the Internet are used as a main line of an evolution process of a high-level intelligent integrated system (HIIS), an intelligent integrated scientific and technological 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 scattered in all the fields around the world into a whole (DCN), a global value chain system project is vigorously carried out, and a global intelligent integrated dynamic convergence network system (DCN/HII (GVC)) with a real life and ecological holographic synergetic organization 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, 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 computing technology basis of an intelligent integrated system for regional value chain planning and configuration, 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 and 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 the natural intelligence and the 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 basis, a brand new mathematical basis, a brand new scientific basis, and a brand new technology on the basis of a:
A. for the intelligent integrated system computing technology for regional value chain planning configuration, 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 regional value chain planning configuration intelligent integrated system computing technology, the 'heaven and earth' computing is an extremely complex system and has a quite complex holographic collaborative organization structure, wherein on one hand, various computers and the infrastructures, the accessories and network devices (including servers and browsers) thereof 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 and 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 intelligent integrated system computing technology for planning and configuring the regional value chain, a basic principle, a mathematical basis and a total design framework of the heaven and earth computing of planning and configuring are established, and a holographic currency algebraic system which is a logic basis and a mathematical basis of the heaven and earth computing of the planning and configuring is further established;
D. for the intelligent integrated system computing technology for planning and configuring the regional value chain, 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 'heaven-earth' computing of planning and configuring are established.
2. Dependent claims-for regional value chains, the basic principles and the overall 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 regional 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; the regional value chain planning configuration can be realized by switching resources to required applications by various enterprises inside and outside the regional value chain planning configuration, and accessing an information network inside and outside operation system and a storage system according to requirements;
the application of the RVC planning configuration space-ground calculation comprises the idea of combining the forces for each member inside and outside the regional value chain planning configuration;
the regional value chain planning and configuration of internal and external business service platforms is the improvement and expansion of the business service platform;
the mixed application of SAAS/HSO [ RVC ] and MSP/HSO [ RVC ], the planning configuration of the type provides a platform for interaction between external users and providers in the planning configuration of the regional value chain; for example, an internal and external user individual expense management system is configured by regional value chain planning, the expense of the user can be managed according to the setting of the user, and various subscribed services can be coordinated;
the internal and external integration of regional value chain planning configuration is 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 regional value chain planning configuration.
3. Dependent claims-for regional value chains, the mathematical basis for the calculation of the "heaven and earth" planning configuration is established according to the invention of the independent claim 1, this claim being characterized in that:
is provided withWPlanning and configuration technology for representing regional value chain, pairWAfter hierarchical decomposition is carried out according to the structure and the function,Wcan be structurally represented as a hierarchical set
Figure DEST_PATH_RE-DEST_PATH_IMAGE002
( 2. 25 )
Wherein iW ( i= 1, 2, …, n) isWThe sub-technique of (1);
regional value chain planning and configuration technologyWHierarchical directed graph with hierarchical decomposition by structure and functionBIs defined as a doublet
B = ( VD ) ( 2. 26 )
Wherein
Figure DEST_PATH_RE-DEST_PATH_IMAGE004
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 setVTwo functions of (1), which are respectively determinedIt is defined as follows:
( 2. 27 )
Figure DEST_PATH_RE-DEST_PATH_IMAGE008
( 2. 28 )
using reachability matricesEBMiddle node setVCan be decomposed intornLevel of hierarchyV l V 2 ,…, n VWherein
Figure DEST_PATH_RE-DEST_PATH_IMAGE010
Figure DEST_PATH_RE-DEST_PATH_IMAGE012
Figure DEST_PATH_RE-DEST_PATH_IMAGE014
Here, them ( ≤ n ) Is to make
Figure DEST_PATH_RE-DEST_PATH_IMAGE016
A positive integer of (d); this is called a hierarchy (1 ev-structure).
4. Dependent claims-for planning configuration of regional value chains, the path optimization strategy and the basis of multi-attribute measures for planning configuration "heaven and earth" calculations are established according to the invention of independent claim 1, this claim being characterized in that:
for a regional value chain planning configuration process multi-stage path network, in each stage of solving, the multi-stage path network can be utilizedkStages andkbetween + 1 stagesThe relationship is as follows:
Figure DEST_PATH_RE-DEST_PATH_IMAGE018
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 planning and configuration process of the regional value chain 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 regional value chain planning configuration process can be regarded as the expansion of dynamic planning, and comprises the following steps:
planning and configuring a path optimization of organization facing to the regional value chain (dynamic planning A);
optimizing a path of a planning configuration object facing the regional value chain (dynamic planning B);
path optimization (dynamic planning C) facing to the regional value chain planning configuration technology;
path optimization for regional value chain planning configuration environment (dynamic planning D):
if the phase number in the multi-phase path network in the regional value chain planning and configuring process is opposite to the phase number of the actual problem, the method for dynamically planning the optimization path can obtain a recurrence relation as follows:
Figure DEST_PATH_RE-DEST_PATH_IMAGE020
Grepresenting a terminal state;
is communicated by two poles j aTo find the minimum valuea min And maximum valuea max Let itThe corresponding subscripts are respectivelylAndLi.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
Figure DEST_PATH_RE-DEST_PATH_IMAGE022
( 3. 7. 64 )
And
Figure DEST_PATH_RE-DEST_PATH_IMAGE024
the same way is found to obtain l PAnd L Pin thatP′ [ k ]Specific gravity of
Figure DEST_PATH_RE-DEST_PATH_IMAGE026
And
Figure DEST_PATH_RE-DEST_PATH_IMAGE028
( 3. 7. 65 a )
Figure DEST_PATH_RE-DEST_PATH_IMAGE032
( 3. 7. 65 a )
and i athe same method is obtainedA min AndA max
Figure DEST_PATH_RE-DEST_PATH_IMAGE034
,
Figure DEST_PATH_RE-DEST_PATH_IMAGE036
( 3. 7. 66 )
Athe two poles are confluent toA = A max / A min
5. Dependent claims-for planning configuration of regional value chains, a holographic currency cost 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
Figure DEST_PATH_RE-DEST_PATH_IMAGE038
To HH YMay be referred to as a holographic convergence set HH XOne ofnPerforming element operation; if it is not
Figure DEST_PATH_RE-DEST_PATH_IMAGE040
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 a holographic currency generation 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 CA region function of (a);
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 regional value chains, the invention according to independent claim 1 builds a dynamic model system of planning configuration "heaven and earth" calculations, this claim being characterized in that:
in the case of attributing any RVC planning configuration system as 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:
Figure DEST_PATH_RE-DEST_PATH_IMAGE042
, 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 parameters are selected as sequence parameters for describing the macro state of the RVC planning configuration system and are called as cooperative state variables;
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:
Figure DEST_PATH_RE-DEST_PATH_IMAGE044
Figure DEST_PATH_RE-DEST_PATH_IMAGE046
( 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 provided for the outsideFirst, theυ I The strength of the empowerment configuration of the seed information stream;
planning and configuring system collaborative variables in RVCx n−21( t ) And RVC planning configuration system collaborative variablesx n2( t ) The following factors, which may be referred to as "perfect cofactors" may be introduced in between:
Figure DEST_PATH_RE-DEST_PATH_IMAGE048
( 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:
Figure DEST_PATH_RE-DEST_PATH_IMAGE052
( 1. 49 a )
Figure DEST_PATH_RE-DEST_PATH_IMAGE054
( 1. 49 b )
( 1. 50 a )
Figure DEST_PATH_RE-DEST_PATH_IMAGE058
( 1. 50 b )
now, the langevin equation, which may be referred to as the "complete cofactor dynamics equation", is given as follows:
Figure DEST_PATH_RE-DEST_PATH_IMAGE060
( 1. 51 a )
Figure DEST_PATH_RE-DEST_PATH_IMAGE062
( 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,
Figure DEST_PATH_RE-DEST_PATH_IMAGE064
should consist of a superposition of these competing partial derivatives:
Figure DEST_PATH_RE-DEST_PATH_IMAGE066
, i = 1, 2, ∙∙∙, s ( 1. 40 )
s. t.
Figure DEST_PATH_RE-DEST_PATH_IMAGE068
, j = 1, 2, 3
wherein each term represents an effect; in general, it relies on the system bureauPotential vector
Figure DEST_PATH_RE-540049DEST_PATH_IMAGE064
Social organization configurationAnd the nonlinear action of certain control parameters;
also, trend parameters
Figure DEST_PATH_RE-DEST_PATH_IMAGE072
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:
Figure DEST_PATH_RE-DEST_PATH_IMAGE074
, l = 1, 2, ∙∙∙, T
7. dependent claims-for the regional value chain, a technical embodiment of the invention according to independent claim 1 for establishing a planning configuration "heaven and earth" calculation, this claim being characterized in that:
for a regional 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.
CN201110335696XA 2011-10-31 2011-10-31 Computing technology basis of intelligent integrated system for planning and configuring regional value chain Pending CN102624798A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113689296A (en) * 2021-08-30 2021-11-23 北京泛融科技有限公司 Contract scheduling method and device for asynchronous trusted computing and electronic equipment

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113689296A (en) * 2021-08-30 2021-11-23 北京泛融科技有限公司 Contract scheduling method and device for asynchronous trusted computing and electronic equipment
CN113689296B (en) * 2021-08-30 2023-11-17 北京泛融科技有限公司 Contract scheduling method and device for asynchronous trusted computing and electronic equipment

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