CN102739730A - Operation system technique foundation for intelligent integration of industrial value chain market allocation - Google Patents

Operation system technique foundation for intelligent integration of industrial value chain market allocation Download PDF

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CN102739730A
CN102739730A CN201110336594XA CN201110336594A CN102739730A CN 102739730 A CN102739730 A CN 102739730A CN 201110336594X A CN201110336594X A CN 201110336594XA CN 201110336594 A CN201110336594 A CN 201110336594A CN 102739730 A CN102739730 A CN 102739730A
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李宗诚
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Abstract

The invention discloses an operation system technique foundation for the intelligent integration of industrial value chain market allocation, which is a new technique established for transforming a 'cloud' computing system into an all-inclusive 'universe' computing system, and implemented through establishing the basic model, normal form and equation system of network configuration dynamics and the basic model, normal form and equation system of game organization synergetics on the basis of establishing a brand-new logical foundation, a brand-new mathematical foundation and a brand-new scientific foundation and by centering on Internet users and then centering on multi-level value chain (GVC global value chain), and taking the connection and coordination (performed based on a computer aided system and the Internet) of a cognitive system and a practice system as the principal line of an evolution process of a high-grade intelligent integration system (HIIS).

Description

Industrial value chain market allocation intelligent integrated operating system technical foundation
Technical Field
The invention is a 600 patent invention cluster (generally named as 439 th item in the global value chain network technology support system) which is officially submitted to the national patent office by an electronic system in 9 months 2011 by the applicant of li honesty.
The invention and the invention patent cluster (the general name is the global value chain network technology support system), wherein the 421 st, 422 st, 423 th, 424 th, 425 th, 426 th, 427 th, 428 th, 429 th, 430 th, 431 th, 432 th, 433 th, 434 th, 435 th, 436 th, 437 th, 438 th and 440 th in the global value chain network technology support system jointly form the invention patent cluster "industrial value chain market configuration ICT technology support system".
The applicant proposes a global value chain network technical support system comprising 600 patents including the invention, and the general aim of the system is to establish a brand new logic foundation, mathematical foundation, scientific foundation and a brand new technical foundation and engineering foundation by taking a global value chain system (GVC) as a core, taking connection and coordination of natural intelligence and artificial intelligence based on a computer and a network thereof as a main line of a General Intelligent Integrated System (GIIS) upgrading process, and building a global intelligent integrated collaborative network computer system (CS/HSN (GII)) for relatively closed and relatively static 'resource pools' -cloud computing network injection soul, intelligence and life, so as to forge the global internet into the technical support system with the properties 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 based on a completely new scientific theory of a meta-system (MS) is established, a novel global Internet endowed with life vitality is integrated with a logistics network, an energy network, a financial network and a knowledge network which are distributed at each department of each field around 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 property of 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, 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 an operating system design basis for a global Internet holographic cooperative system through a brand-new logic basis, a mathematic basis, a scientific basis and a brand-new technical basis and engineering 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 industrial value chain market configuration, market organization and market management (MA/IVC), is an intelligent integrated technical foundation for industrial value chain and industrial value chain market configuration system, and is a key for guiding people, organizations and organizations from ever-variable 'cloud' (computing system) to 'heaven and earth' (brand-new computing system) of conflating everything.
The MA/IVC is a solution of industrial value chain system engineering, which introduces the service strategy and operation mode of industrial value chain into the whole internal and external association system of industrial value chain market configuration using information system as main part by means of new information technology and network technology, and it not only is a technology change, but also involves the comprehensive integration and configuration of all the inter-regional or inter-national flows of the industrial value chain organization related to the internal and external of the industrial value chain organization.
The MA/IVC is industrial value chain configuration software which integrates material resource configuration (logistics), human resource configuration (people flow), capital resource configuration (money flow) and information resource configuration (information flow) which are related internally and externally and are configured aiming at the industrial value chain market. The next generation of longitudinal association departments, transverse association departments and Value Resource Planning (VRP) software are described by carrying out DIM analysis and Lizong honest on rule designers, system integrators and module generators which are oriented to the internal and external associations of the industrial value chain market configuration and SHF analysis on final consumers, social regulation mechanisms and domestic and foreign relatives which are oriented to the internal and external associations of the industrial value chain market configuration. The system comprises a user/service system architecture which is associated with the inside and the outside of the industrial value chain market configuration, uses a graphical user interface and applies open system manufacturing. In addition to existing standard functionality, it includes other characteristics such as quality of association within and outside the industrial value chain market configuration, process operational configuration, and adjustment reporting associated within and outside the industrial value chain market configuration. In particular, the underlying technology employed by the MA/IVC will provide both internal and external associated independence of both user software and hardware to the industry value chain market and thus be more easily scalable. The key to MA/IVC is that all users associated inside and outside the industrial value chain market 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 industrial 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 comprehensive allocation of resources inside an industrial value chain, and then gradually develop into an allocation idea how to effectively utilize and allocate the whole resources. In this situation, Lizong first proposed a concept report for MA/IVC.
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), an industrial value chain IVC, a regional value chain RVC, a national value chain NVC and a global value chain GVC) as a core, and the three networks of a telecommunication network (MCN), a computer network (WWW) and a Broadcast Television Network (BTN) are integrated into a main technical support.
The invention provides a global dynamic convergence network to be developed and established and a world computing and holographic cooperative operation System (OS/HSO for short), which is a complete complex System. The heaven and earth computing aims to integrate a plurality of relatively low-cost computing entities into a complete intelligent integrated system with strong computing power through a logistics, knowledge and financial total-convergence network supported by an information network, and distribute the strong computing power to external and internal terminal users of the information network by means of brand-new business modes such as SaaS/HSO, PaaS/HSO, IaaS/HSO, MSP/HSO and the like inside and outside the information network.
The concept of global dynamic convergence network computing can be regarded as an application mode which integrates and interpenetrates a logistics network, a knowledge network and a financial network by taking an information network as a platform. Global dynamic convergence network computing is not only oriented to computers and information networks, but also to logistics networks, knowledge networks, and financial networks. The intelligent integrated system tries to surpass information calculation and information network calculation, and tightly links the information calculation and the information network calculation with the collection, the penetration and the operation of a logistics network, a knowledge network and a financial network, thereby realizing intelligent integration.
As the basis of the invention, the brand-new logic basis comprises holographic convergent logic, bipolar convergent logic and bipolar holographic convergent logic; the brand new mathematics foundation comprises holographic convergent mathematics, dipolar convergent mathematics and system transition analytical mathematics; the brand new scientific basis comprises resource allocation dynamics, holographic organization synergetics, a system efficacy value theory, game organization synergetics, hedging balance economics, holographic confluent physics and through science (cross science and transverse science) formed by the large synthesis of a series of brand new theories, namely element system science and intelligent integration science; the brand new technology base is a brand new system technology (cluster) taking a value chain system as a core and oriented to holographic cooperativity; the brand new engineering foundation is brand new system engineering (cluster) taking a value chain system as a core and oriented to holographic cooperativity.
Disclosure of Invention
(1) For an industrial value chain, the inventor establishes 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 independently, in order to modify a neglected and uncertain 'cloud' computing system into a 'heaven-earth' computing system which can link everything and run through longitude and latitude, insists on taking a global value chain system as a core and taking the connection and coordination of an IVC cognitive system (RS and a computer-aided system thereof) and an IVC practice system (PS and a computer-aided system thereof) as a principal line of an evolution process of a high-level intelligent integrated system (HIIS), and firstly establishes a general technical requirement and a scientific foundation of market allocation operation system design.
The equipment resources and information resources of the internal and external systems configured in the industrial value chain market are distributed and scheduled by the holographic cooperative operation system according to the requirements of internal and external users configured in the industrial value chain market according to a certain strategy. The storage management of the holographic cooperative operation system is responsible for allocating the external storage units in the industrial value chain market configuration to the program needing to be stored so as to be executed, and recovering the external storage units in the industrial value chain market configuration occupied by the program for reuse after the program is executed. For the inside and the outside of the industrial value chain market configuration which provides virtual storage and provides physical storage, the holographic cooperative operation system is matched with the inside and the outside hardware of the industrial value chain market configuration to complete resource scheduling work, resources are allocated according to the requirements of inside and outside executive programs of the industrial value chain market configuration, and the resources are called into and out of the inside and the outside of the industrial value chain market configuration, recovered resources and the like during execution.
The management of the external processor in the industrial value chain market configuration or the scheduling of the external processor in the industrial value chain market configuration is another important content of the resource management function of the holographic cooperative operation system. In a system allowing simultaneous execution of multiple programs inside and outside an industrial value chain market configuration, a holographic cooperative operation system alternately allocates processors to the programs waiting for operation inside and outside the industrial value chain market configuration according to certain strategies inside and outside the industrial value chain market configuration. An external program waiting to run inside and outside the industrial value chain market configuration can only run after a processor is obtained. When a program outside the industrial value chain market configuration encounters a certain event in the operation, for example, the starting of the industrial value chain market configuration internal and external equipment cannot continue to operate temporarily, or the occurrence of an event outside the industrial value chain market configuration, and the like, the holographic cooperative operation system needs to process the corresponding event, and then the industrial value chain market configuration internal and external processors are redistributed.
The equipment management function of the holographic cooperative operation system for the industrial value chain market allocation mainly comprises the steps of distributing and recovering external equipment in and from the IVC market allocation, controlling the external equipment in and from the IVC market allocation to operate according to the requirements of user programs and the like. For the IVC market, internal and external non-storage type devices, such as a printing device, a display device and the like, can be directly used as one device inside and outside the IVC market, are distributed to one IVC market, and are recycled after being used so as to be used by another user with a demand. For the storage type internal and external equipment configured in the IVC market, if the main storage setting, the auxiliary storage setting and the like are set, storage space is provided for internal and external users configured in the IVC market, and the internal and external files and data are stored in the internal and external equipment configured in the IVC market. Management of external storage type devices within the IVC market configuration is closely coupled with management of external information within the IVC market configuration.
The management of external information in the IVC market configuration is an important function of the holographic cooperative operation system, and mainly provides a file system for external users in the IVC market configuration. Generally, an IVC market allocation internal and external file system provides the user with the functions of creating IVC market allocation internal and external files, revoking IVC market allocation internal and external files, reading and writing IVC market allocation internal and external files, opening and closing IVC market allocation internal and external files, and the like. With the IVC market configured internal and external file systems, a user can access data according to the IVC market configured internal and external file names without knowing where the data is stored. This is not only convenient for use by external users within the IVC market configuration but also facilitates sharing of common data by external users within the IVC market configuration. In addition, since the external file is established in the IVC market configuration, the creator is allowed to specify the use authority, and the data security can be ensured.
The execution of external user programs within an IVC market configuration is conducted throughout under holographic interoperability system control. After a program is written by a program in a programming language inside or outside the IVC market configuration, the program and the requirement for executing the program are input into the inside or outside the IVC market configuration, and the holographic cooperative operation system controls the program of the outside user inside or outside the IVC market configuration to be executed until the end according to the requirement. The holographic cooperative operation system controls the execution of external users in the IVC market configuration, and mainly comprises the following contents: calling a corresponding internal and external compiler for IVC market configuration, compiling a source program written by a certain internal and external programming language for IVC market configuration into an object program which can be executed inside and outside the IVC market configuration, allocating resources such as internal and external storages for IVC market configuration, calling the program into the internal and external storages for IVC market configuration and starting the programs, and processing various events in execution and processing unexpected events related to contact requests of operators according to the requirements specified by the internal and external users for IVC market configuration.
The internal and external man-machine interaction function of the holographic cooperative operation system configured in the industrial value chain market is an important factor for determining the friendliness of the internal and external IVC market configuration. The internal and external human-computer interaction function of the IVC market is mainly completed by internal and external equipment and corresponding software which can be input and output. The equipment for the IVC market to be configured with the internal and external man-machine interaction mainly comprises an internal and external display device configured in the IVC market, an internal and external shortcut operation tool configured in the IVC market, various external mode identification equipment configured in the IVC market and the like. The software corresponding to the devices is the part of the holographic cooperative operation system providing the internal and external man-machine interaction functions in the IVC market configuration. The main function of the internal and external human-computer interaction part of the IVC market configuration is to control the operation and understanding of relevant equipment inside and outside the IVC market configuration and execute relevant various commands and requirements transmitted by the internal and external human-computer interaction equipment of the IVC market configuration. The IVC market is provided with an internal operator and an external operator which type commands through a keyboard, and the holographic cooperative operation system executes the commands immediately after receiving the commands and displays the results through a display. With the development of external technologies inside and outside the IVC market configuration, more and more operation commands are required and the functions are stronger and stronger. With the development of input devices for pattern recognition, such as speech recognition, Chinese character recognition, etc., it has become possible for the IVC market to deploy external operators and various devices and tools that interact at a level similar to or restricted to natural language. In addition, human-computer interaction inside and outside the IVC market configuration through graphics has also attracted research. These IVC market configurations internal and external human-machine interactions may be referred to as intelligent integrated IVC market configurations internal and external human-machine interactions. The research work in this respect is to be further developed.
The holographic cooperative operation system for the industrial value chain market allocation is positioned between the internal and external bottom layer hardware of the user market allocation and the user and is a bridge for communicating the internal and external bottom layer hardware and the user. The IVC market configures the external user to enter commands through the user interface of the holographic co-operating system. The holographic cooperative operation system interprets the internal and external commands configured in the IVC market, drives the internal and external hardware equipment configured in the IVC market, and meets the user requirements. From a completely new perspective, a standard IVC market configures the OS/HSO of the external system to provide the following functions:
IVC market configuration internal and external Process management (Processing management/HSO [ IVC ])
IVC market is provided with internal and external Memory space management (Memory management/HSO [ IVC ])
IVC market configures internal and external File System (File System/HSO [ IVC ])
IVC market configuration internal and external communication (Networking/HSO IVC)
IVC market configures internal and external Security mechanism (Security/HSO [ IVC ])
IVC market configuration internal and external User interface (User interface/HSO [ IVC ])
IVC market configures internal and external drivers (Device drivers/HSO [ IVC ])
Whether the IVC market configures internal and external resident programs or the IVC market configures internal and external application programs, the IVC market configures internal and external processes as standard execution units. The IVC market deploys that each central processor is external to and not limited to executing one process at a time. The holographic cooperative operation system can utilize IVC market to configure internal and external multi-process (multitask/HSO IVC) function to execute complex process at the same time even if only one CPU/HSO IVC is possessed. The internal and external process management of the IVC market configuration refers to a function of adjusting the complex processes inside and outside the IVC market configuration by the holographic cooperative operating system.
Between the general philosophy Ontology category (Ontology) and the information science and technology Ontology term (Ontology), the inventor proposes to re-interpret the Ontology category or concept (O/Ontology, abbreviated as O-ont) between the whole and part of things, and uses the Ontology category or concept as a logical node reflecting the coordination and unification of the whole and part of things as a basic link between the general philosophy category and the information science and technology term.
Based on this, we can attribute the various unifications being explored by modern science to three different levels of unification:
the first level of uniformity UI is an Ontology Uniformity (OU) that approximates the primitive of an object. This specification defines such uniformity as the coordination and uniformity embodied between the whole (W) and the part (P) of a thing, as shown in fig. 1.
The second level of uniformity UII is a Holographic Uniformity (HU) facing system internal and external collaborative relationships. This specification defines this unity as the coordination and unification embodied between the Internal Holographic Synergistic Relationship (IHSR) and the External Holographic Synergistic Relationship (EHSR) of the system. Here, the internal holographic cooperativity relationship between the system and its subsystems and base elements is considered on the one hand, and the external holographic cooperativity relationship between the system and its surroundings and external indirection factors is considered on the other hand, as shown in fig. 2.
The third level of uniformity UIII is the Holographic Evolutionary Uniformity (HEU) throughout the evolution process of the complex system. This unity is defined herein as the coordination and unification embodied from time to time throughout the evolution of a complex system from low-level (E I) to high-level (EN). Here, the inter-holographic cooperation relationship (IHSR), the inter-holographic cooperation relationship (EHSR), and the coordination (H/IE) between the inter-and outer holographic cooperation relationships of the complex system are very organization factors of the evolution of the complex system, as shown in fig. 3.
The relationships between intelligent integration elements are the basic intelligent integration semantics. In the analysis oriented to intelligent integration, there are two types of relationships between elements: one is the relationship of elements in the structure of the intelligent integrated system; the other is the relationship of elements in completing the functions of the intelligent integrated system.
The relationship of elements on the intelligent integrated structure has one-to-one, one-to-many and many-to-many situations. For the first two cases, as shown in fig. 4, only one relationship element needs to be identified, the relationship element has direct connection with multiple parties in the relationship element, and is in one-to-one correspondence with the other party in terms of element generation, and all the connected elements are attributes of the relationship element; the relationship element is required to perform at least some of the following operations: (A) An operation of obtaining all the factor 2 which can possibly be connected with the factor l; (B) An operation of relating the related elements; (C) And an operation of releasing the relation of the related elements.
For many-to-many cases, such as the relationship between a configurator and a resource element, the association is achieved by defining the configuration and being configured with two relationship elements, as shown in FIG. 5.
In a system analysis oriented towards an industrial value chain market configuration, a factor is data and a package that acts on the data. In the development of the industrial value chain-oriented market allocation system, the analysis model is a key model of the industrial value chain market allocation system. This should reflect both the structural and behavioral aspects of the industrial value chain market allocation system, whose functionality is achieved through the manipulation of elements. As can be seen from the identification of the element in the analysis required by the industrial value chain market configuration main body, the identification of the element operation and the identification of the element are carried out simultaneously, and each function of the industrial value chain market configuration system is realized by the operation of the corresponding element. The market allocation elements of the industrial value chain generally comprise information which is stable for a long time in the market allocation system of the industrial value chain and operation for processing the information.
The industrial value chain market allocation process, though having respective special rules and characteristics, can be formally equivalent to an "actual problem solving" process under certain conditions. The "problem" at this point is an abstract concept that has been exploited to show that there is some discrepancy between the current state of a given process and the target state required by the market allocation body of the industry value chain. The practical solution is to virtually eliminate this difference. Any industry value chain market configuration process can be expressed as a practical problem solving process as long as the proper state description and process description are given, namely the correct formalized description is established.
The process by which system L learns to solve problem A can be expressed as system S' solving problem B:
initial state: system S does not solve problem a.
Target state: system S will solve problem a.
If a system S' is found that solves the problem B, the system L learns to solve the problem A. The key here is to establish some correct formalized description of the industrial value chain market configuration activity process that solves the problem.
In general, there are many equivalent representations of any given problem. A powerful representation gives a strong clarity to the problem and makes it easier to solve it. For an original problem which is not abstracted, the original problem often contains a lot of redundant information which is irrelevant to the problem solving, and the problem can be simply represented only by removing the redundant information and reserving the useful information which is necessary for solving the problem. The method of extracting useful information is different, and the obtained problem representation is also different.
Discrete mathematics has two concepts, homomorphism and isomorphism, the former can simplify the representation of a problem, and the latter can change the representation of a problem, but they are all mappings that maintain the operational characteristics. Is provided with two problems
P = < QF >AndP′= < Q′,F ′ >,
whereinQAndQ' is respectively a problemPAndPthe set of facts that may occur in (1),FandF ' respectively areQAndQ' if there is a full map
h : Q Q
So as to be coupled to any sequence
Figure 201110336594X100002RE-DEST_PATH_IMAGE004
If and only if sequence pairI.e. byFAndF there is also a full mapping between
Figure RE-DEST_PATH_IMAGE002A
h′ : F F
Then callP' isPIs calledPIs thatP' original problem, callhIs fromPToPHomomorphic mapping of' is denoted
Figure RE-DEST_PATH_IMAGE009
If it is nothIf the mapping is a one-to-full mapping, an isomorphic mapping is obtained. Isomorphic mapping is a special case of homomorphic mapping, denoted as
Figure RE-DEST_PATH_IMAGE011
. The original problem contains solutions to homomorphism problems; isomorphic problem solved is equivalent to the original problem solved.
FIG. 6 presents an internal relationship problem for an industry value chain market configuration organization. In this relationship, the decision-maker consists of two base members (F and M) and the executive consists of three base members (B, S and J). This is a homomorphic transformation of the actual organizational internal relationships because much of the detail is omitted. However: (a) The graph correctly describes the internal relationship of the industry value chain market configuration organization at a certain depth. (b) The diagram is a further abstraction of the relationships within this industry value chain market configuration body, which ignores the relationships between members within the industry value chain market configuration body, as there are full mappings
Figure RE-DEST_PATH_IMAGE013
h 1 : ( F, M, B, S, J ) ( P, P, C, C, C )
The following full mapping holds true for the binary relationships in the two systems
h 1 : ( a, b, b, d ) ( α, α, β, β)
Therefore (b) Is shown in (A)a ) The homomorphism of the graph reflects the original relationship in the industrial value chain market allocation organization to a certain extent.
Figure RE-DEST_PATH_IMAGE013A
Also, ac ) The figure is also (b ) Homomorphism of the graph because there is a full mappingh 2 : ( P, C ) ( N, N ) So that the following full mapping holds for the binary relation in the two systems
Figure RE-DEST_PATH_IMAGE002AAA
h 2 : ( α, β) ( n, n )
Homomorphic mapping is a partial ordering relationship that satisfies transitivity, so (1)c) The figure is also (a) Homomorphism of the graph.
In industrial value chain market configuration logic, the effect of causing certain components in a state to change, thereby causing a problem to change from one particular state to another, may be referred to as an operation, which may be a mechanical step, process, rule, or operator. Operations describe relationships between states.
The State Space (State Space) of a problem is a graph that represents all possible states of the problem and their interrelations. Generally, a directed graph of assignments is provided, which contains a detailed description of the following three aspects:
S : a set of initial states that may be in the problem;
F : a set of operations;G : a set of target states;
the state space is often denoted as a triplet (S , F , G )。
In state space representation, the problem solving process is converted into finding the initial state in the graphQ s Departure to destination stateQ g I.e. finding a sequence of operationsαTo a problem of (a). Therefore, the solution in the state space is also often denoted as a triplet: (Q s , α, Q g ) It contains the following three detailed descriptions:
Q s : a certain initial state;Q g : a certain target state;α: handleQ s Is converted intoQ g A limited sequence of operations.
If it is notα= f l , f 2 , …, f n Then there is
Q g = f n ( ( f 2 ( f l ( Q s ))) … )。
The MA/IVC to be vigorously developed and established is information integration oriented to industrial Value Chain Planning Operation (Planning Operation of Enterprise Value Chain), and the MA/IVC is information integration oriented to Supply and demand Chain Planning Operation (Planning Operation of Supply Chain). In addition to the manufacturing, supply and sale, financial project functions and various support systems and technologies of the MA/IVC system, the MA/IVC combines products, projects and fields which are related longitudinally and transversely on an industrial value chain, and has a series of brand new technologies as follows:
ICT technical support design of 421 th industrial value chain market allocation mechanism
Information and Communication Technology (ICT) technical support design of 422 th industrial value chain market configuration unit
ICT technical support design of 423 th industry value chain market allocation dynamic foundation
Information and Communication Technology (ICT) technical support design for market allocation advantage comparison of 424 th industrial value chain
Information Communication Technology (ICT) support design for 425 industrial value chain market allocation holographic collaboration
ICT technical support design for 426 th industrial value chain market allocation production function
ICT technical support design for 427 th industrial value chain market allocation value measurement
Information and Communication Technology (ICT) technical support design for 428 th industrial value chain market allocation collaborative organization
429 th industrial value chain market allocation holographic hedging balance technology foundation
430 th industry value chain market allocation holographic hedging balance tabulation technology
Information and Communication Technology (ICT) technical support design of 431 th industrial value chain market allocation main body
ICT technical support design for market allocation load of 432 th industrial value chain
ICT technical support design for 433 th industrial value chain market allocation mode
ICT technical support design of 434 th industrial value chain market allocation system
ICT technical support design of 435 industrial value chain market configuration environment
Information and Communication Technology (ICT) support design for 436 th industrial value chain market configuration project
ICT technical support foundation of 437 industrial value chain market allocation justice system
438 th industrial value chain market allocation intelligent integrated system computing technology base
Technical foundation of 439 th industrial value chain market allocation intelligent integrated operating system
440 th industrial value chain market allocation intelligent integrated dynamic convergence technical foundation
(2) For an industrial value chain, the inventor establishes 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 independently, in order to modify a neglected and indefinite 'cloud' computing system into a 'heaven-earth' computing system which can link everything and run through longitude and latitude, the inventor insists on taking a global value chain system as a core, and establishes a general design framework and a basic construction concept of a market configuration operating system by taking the connection and coordination of an IVC cognitive system (RS and a computer-aided system thereof) and an IVC 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).
The industrial value chain market allocation technology to be vigorously developed and established is a planning operation mode facing an industrial value chain, a planning information system facing the industrial value chain and a commercial software product facing the industrial value chain. The method is formed by comprehensively improving and expanding an enterprise efficacy chain market configuration technology MA/IVC and a business value chain market configuration technology MA/IVC through an intelligent integrated dynamic convergence network on the basis of a resource configuration dynamics, a holographic organization synergetics, a system efficacy value theory, a hedging balance economy, a game organization synergetics and an economic system engineering intelligent integrated configuration principle. This section mainly sets forth the theory of industrial value chain market allocation, project implementation methods and roles in modern industrial value chain allocation. The application process and the final achieved effect of industrial value chain market configuration in modern industrial value chain configuration are indicated from various aspects of industrial value chain software model selection, project implementation, configuration mode improvement, configuration system improvement, flow and operation specification solidification and the like.
In a broad sense, materials, funds and values in the efficacy chain are reflected to people in an information mode. The industrial value chain market allocation system acquires, analyzes and processes information flows related to the inside and the outside of the industrial value chain market allocation on an efficacy chain by means of a modern information technology and a global intelligent integrated communication network information technology and an operation system, so that industrial value chain resources are effectively controlled and utilized, the resource allocation is more reasonable, satisfactory products and services are provided for clients at the highest speed and the lowest cost, and profits and values are created for the clients while the industrial value chain organization provides the products and the services for the clients.
(2.1) core and features of Industrial value chain market configuration
The industrial value chain market allocation is based on an efficacy chain idea as a core, resource allocation dynamics, a system efficacy value theory, hedge balance economics and game organization synergetics and applies a modern latest information technology and a global intelligent integration integrated communication network information technology and an operation system allocation method. The method is developed on the basis of an application information technology configuration system of an IVC planning NA/IVC.
Holographic convergence and holographic integration of information are the most important characteristics of industrial value chain market configuration. The industrial value chain market allocation carries out holographic collaborative system engineering on all departments, projects and links related to the inside and the outside of the industrial value chain market allocation on the efficacy chain, including suppliers, manufacturers and other partners, according to the requirements of clients and markets, and guarantees that related products and services inside and outside the industrial value chain market allocation can be guaranteed to be delivered to clients on time; meanwhile, the industrial value chain market allocation re-integrates the resources divided by blocks under the traditional allocation condition according to the idea of flow allocation, supports the integration or organization of project flow (carrying flow) dynamic models and information processing programs related to the inside and the outside of the industrial value chain market allocation, applies object-oriented and component (or member) development technology, provides an assembly type software product to solve the solution of specialization and individuation, supports the allocation requirements of various departments, projects and links related to the inside and the outside of the industrial value chain market allocation, and achieves the optimal allocation of the resources of the whole industrial value chain (efficacy chain). Therefore, the core of the industrial value chain market configuration is holographic convergence and holographic integration of the industrial value chain configuration information.
The industrial value chain market allocation is an effective way for reforming the traditional industrial value chain in an information mode, and the allocation concept and idea of the industrial value chain market allocation are crystals of multiple interest-related organizations and personal intelligence. For example, the internal and external associated configuration information of the industrial value chain market configuration is complete, accurate, timely and unique, the internal and external associated logistics, fund flow and information flow of the industrial value chain market configuration are synchronous, the internal and external associated balance and coordination of production, supply and sale, the grasp of market demand change and the like of the industrial value chain market configuration are all very concerned problems by industrial value chain leaders, and the realization of the method by the traditional configuration method and means cannot be realized.
(2.2) Overall design of holographic cooperative operation System for IVC market configuration
The IVC market allocation holographic cooperative operating system (OS/HSO [ IVC ]) developed and established by the present inventors is a huge internal and external management control program for IVC market allocation, and roughly includes 5 management functions: the method comprises the following steps of IVC market allocation internal and external process and processor management, IVC market allocation internal and external operation management, IVC market allocation internal and external storage management, IVC market allocation internal and external equipment management and IVC market allocation internal and external file management. The common operating systems DOS, OS/2, UNIX, XENIX, LINUX, Windows, Netware and the like on the existing microcomputer are transformed into holographic cooperative operating systems DOS/HSO [ IVC ], OS/2/HSO [ IVC ], UNIX/HSO [ IVC ], XENIX/HSO [ IVC ], LINUX/HSO [ IVC ], Windows/HSO [ IVC ], Netware/HSO [ IVC ] and the like configured in IVC market.
The IVC market allocation holographic cooperative operation system is a collection of system software which controls the operation of external programs in the IVC market allocation, manages resources of the external systems in the IVC market allocation, and provides an operation interface for external users in the IVC market allocation, as shown in fig. 7.
The IVC market allocation holographic cooperative operation system is responsible for basic tasks such as internal and external management and memory allocation of IVC market allocation, prioritization of resources of the internal and external systems of IVC market allocation, control of internal and external input and output devices of IVC market allocation, operation of internal and external networks of IVC market allocation and file system management.
The IVC market allocation holographic cooperative operation system manages all hardware resources, software resources and data resources of external systems in IVC market allocation; controlling the IVC market to configure the operation of an internal program and an external program; improving internal and external human-machine interfaces configured in the IVC market; the method and the system provide support for configuring other external and internal application software for the IVC market, enable all resources of the external and internal systems configured for the IVC market to play a role to the maximum extent, and provide a convenient, effective and friendly service interface for configuring the external and internal users for the IVC market.
All IVC market configuration holographic cooperative operation systems have four basic characteristics of IVC market configuration internal and external concurrency, IVC market configuration internal and external sharing, IVC market configuration internal and external cooperativity and IVC market configuration internal and external uncertainty.
The holographic cooperative operation system configured in the IVC market has various types, and OS/HSO (IVC) installed by different machines can be simple to complex, and can be configured from an embedded system inside and outside the IVC market to a large-scale IVC market configured with the holographic cooperative operation system inside and outside the IVC market.
In addition to the IVC market allocation of external and internal process management, OS/HSO [ IVC ] has the serious problems of IVC market allocation of external and internal inter-process communication (IPC/HSO [ IVC ]), IVC market allocation of external and internal process abnormal termination processing, Dead knot (Dead lock) detection and processing, and the like.
There is still thread problem under the external process in IVC market configuration, but most of OS/HSO [ IVC ] does not deal with the problem encountered by the external thread in IVC market configuration, and usually OS/HSO [ IVC ] only provides one set of API/HSO [ IVC ] to let the external user in IVC market configuration operate by himself or control the interaction between the external thread in IVC market configuration through the management mechanism of virtual-physical equipment and tools.
Another important activity in IVC market configuration for external storage management is managing virtual-physical locations with the help of CPU/HSO [ IVC ]. If there are many processes stored on the memory device simultaneously inside and outside the IVC market configuration, the IVC market configuration holographic co-operating system must prevent them from interfering with each other's memory contents (unless operating under a controlled range via some protocol and restricting the accessible IVC market configuration internal and external memory ranges). Partitioning the IVC market allocation internal and external storage space can achieve the goal: each process inside and outside the IVC market configuration sees only that the entire memory space (from 0 to the maximum upper limit of the external memory space inside and outside the IVC market configuration) is allocated to itself (of course, some locations are reserved by the OS/HSO [ IVC ] to prohibit access).
The theory of the holographic cooperative operation system configured in the IVC market to be explored and established is a brand new branch beyond information science and computer science, and the design and implementation of the holographic cooperative operation system configured in the IVC market are the basis and the inner core of the external software industry configured in the IVC market, as shown in FIG. 8.
The basic structure of the theory of configuring the holographic cooperative operation system in the IVC market is as follows:
I. IVC market allocation holographic collaborative operation system introduction
I.1 IVC market configuration internal and external hardware structure
I.1.1 IVC market configuration internal and external processors
I.1.2 IVC market deploys internal and external memory
I.1.3 IVC market-deployed internal and external I/O devices
I.1.4 bus
I.2 what is IVC market configuration holographic interoperability system
I.2.1 IVC market configuration holographic co-operating system concept
I.2.2 IVC market Provisioning Primary Functions of holographic Co-operating System
I.2.3 IVC market position to configure holographic cooperative operation system
Development prospect of I.3 IVC market configuration holographic cooperative operation system
I.3.1 formation of holographic co-operating System for IVC market configuration
I.3.2 IVC market deployment development of holographic interoperability systems
I.3.3 Power for promoting development of holographic cooperative operation system configured in IVC market
Type of I.4 IVC market-configured holographic co-operating system
I.4.1 IVC market-deployed internal and external batch processing system
I.4.2 IVC market internal and external part configuration time-sharing system
I.4.3 IVC market configuration internal and external real-time system
I.4.4 holographic cooperative network operation system
I.4.5 holographic cooperative distributed operation system
I.4.6 other IVC market-deployed holographic cooperative operation system
I.5 IVC market configuration features for holographic interoperability systems
I.6 IVC market allocation holographic cooperative operation system structure design
I.6.1 monolithic Structure
I.6.2 hierarchy
I.6.3 virtual machine architecture
I.6.4 client, Server architecture
IVC market configuration of internal and external processes and threads
II.1 IVC market configuration inside and outside Process concepts
II.1.1 IVC market configuration internal and external multiprogramming
II.1.2 IVC market-deployed internal and external Process concepts
II.2 IVC market Allocates the status and composition of internal and external processes
II.2.1 IVC market Allocation of states of internal and external processes and transitions thereof
II.2.2 IVC market configuration internal and external Process descriptions
II.2.3 IVC market configuration internal and external process queues
II.3 external Process management within IVC market configurations
II.3.1 IVC market configuration inside and outside Process Diagram
II.3.2 IVC market configuration inside and outside Process creation
II, 3.3 IVC market configuration internal and external process termination
Configuring internal and external process blocking in the II, 3.4 IVC market
II, 3.5 IVC market configuration internal and external process wake-up
II, 4 IVC market configuration external and internal threads
II, 4.1 IVC market-configured inside and outside thread concepts
Implementation of external and internal threads in II, 4.2 IVC market configuration
II, 5 IVC market configures synchronization and communication of external processes within and outside
II, 5.1 IVC market configures synchronization and mutual exclusion of external and internal processes
II, 5.2 IVC market allocate internal and external critical resources and critical zones
II, 5.3 IVC market configuration internal and external mutual exclusion implementation mode
Internal and external semaphore for II, 5.4 IVC market
General application of configuring internal and external semaphores in the II, 5.5 IVC market
II, 6 IVC market configuration internal and external classical process synchronization problem
II, 7 IVC market allocation internal and external tube pass
II, 8 IVC market configuration external and internal process communication
II, 8.1 IVC market-deployed internal and external delivery systems
Communication in a II, 8.2 client-server system
IVC market configuration internal and external deadlocks
III, 1 IVC market allocation of internal and external resources
III, 1.1 IVC market allocation internal and external resource usage patterns
III, 1.2 IVC market Allocate internal and external deprivable resources and non-deprivable resources
III, 2 IVC market configuration internal and external deadlocks
III, 2.2 IVC market-configured conditions for internal and external deadlocks
III, 2.3 IVC market Allocation map for internal and external resources
…………
IVC market configuration internal and external scheduling
External storage management within V, IVC market configurations
IVC market configuration internal and external file system
IVC market configuration internal and external input/output management
IVC market configuration of internal and external user interface services
IX. holographic cooperative operation system for embedded IVC market configuration
X, distributed IVC market configuration holographic cooperative operation system
XI IVC market configuration internal and external security and protection mechanisms
Case study 1: UNIX/HSO [ IVC ]
Example study 2: Linux/HSO [ IVC ]
Xiv, example study 3: windows 2000/HSO [ IVC ]
Practical operation
(A2) Several typical IVC market allocation holographic cooperative operation system architectures
The existing operating systems are improved and expanded easily to form the holographic cooperative operating system for IVC market configuration facing to the whole resource convergence network.
a)Linux / HSO [ IVC ]Framework
It is known that, besides the proud portability (compared with Linux, MS-DOS can only run on Intel CPU), Linux is also a time-sharing multiprocess kernel and has good memory space management (ordinary processes cannot access the memory in the kernel area). A process that wants to access any non-own memory space can only be achieved through system calls. The general process is under User mode, and the execution system is called by the system and is switched to Kernel mode, all special instructions can be executed only in Kernel mode, this measure makes the Kernel able to perfectly manage the internal and external devices of the system, and refuses the request of the process without permission. Therefore, theoretically, any application execution error cannot cause system Crash (Crash).
The almost complete Linux/HSO [ IVC ] architecture is as follows:
IVC market allocation of internal and external user modes
IVC market configures internal and external applications (sh/HSO [ IVC ], vi/HSO [ IVC ], Open office.org/HSO [ IVC ], etc.)
IVC market configuration internal and external complex function libraries (KDE/HSO [ IVC ], glib/HSO [ IVC ], etc.)
IVC market is provided with internal and external simple function libraries (openndbm/HSO [ IVC ], sin/HSO [ IVC ], etc.)
IVC market configuration internal and external C function library
(open/HSO [ IVC ], fopen/HSO [ IVC ], socket/HSO [ IVC ], exec/HSO [ IVC ], calloc/HSO [ IVC ], etc.)
Holographic cooperative organization core mode
IVC market configures software and hardware messages such as internal and external system interruption, call, error and the like
IVC market configuration internal and external core (IVC market configuration internal and external driver, process, network, memory management, etc.)
IVC market configuration internal and external hardware (IVC market configuration internal and external processor, memory, various equipment)
b)Windows NT / HSO [ IVC ]The architecture of the system:
on top of the external hardware hierarchy in the IVC market configuration, there is a hardware abstraction layer (HAL/HSO IVC) directly contacted by the microkernel, while the different external drivers in the IVC market configuration are executed in the form of modules mounted on the kernel. The microkernel can therefore use functions such as external input and output, file systems, networks, information security mechanisms, and virtual memory within the IVC marketplace configuration. And the IVC market configures the internal and external system service layers to provide all function call libraries with uniform specifications, so that the operation methods of the internal and external auxiliary systems configured in all IVC markets can be unified. For example, although POSIX and OS/2/HSO [ IVC ] differ greatly in the name and calling method for the same service, they can operate as unimpeded at the external system service level within the IVC market configuration. The sub-systems on the service layer of the internal and external systems are configured in the IVC market, and all the sub-systems are in the internal and external user mode configured in the IVC market, so that illegal actions of programs configured in the internal and external users in the IVC market can be avoided.
Simplified version of Windows NT/HSO [ IVC ] abstract architecture
IVC market allocation of internal and external users
Holographic synergetic organization mode OS/2/HSO [ IVC ]
IVC market allocation external and internal application Win 32/HSO [ IVC ]
IVC market deploys internal and external applications DOS/HSO [ IVC ]
IVC market Allocation of internal and external programs Win 16/HSO [ IVC ]
IVC market allocation of internal and external applications POSIX/HSO [ IVC ]
IVC market configuration of internal and external applications
Windows simulation system for configuring internal and external DLL function libraries DOS/HSO (integrated circuit virtualization) IVC in IVC market
OS/2/HSO [ IVC ] subsystem Win32 subsystem POSIX.1/HSO [ IVC ] subsystem
IVC market configuration internal and external core
Holographic collaborative organization mode and system service layer
External input output management within IVC market configurations
IVC market allocation internal and external file system, IVC market allocation internal and external system object management system/IVC market allocation internal and external safety management system/IVC market allocation internal and external process management/IVC market allocation internal and external inter-object communication management/IVC market allocation internal and external inter-process communication management/IVC market allocation internal and external storage management
IVC market configuration internal and external micro-core and window management program
IVC market deploys external and internal drivers, hardware abstraction layer (HAL/HSO [ IVC ]) and graphics drivers
IVC market configuration internal and external hardware (IVC market configuration internal and external processor, memory, external equipment, etc.)
IVC market configuration internal and external subsystem architecture
The first IVC market configures the internal and external operating sub-system group as DOS/HSO [ IVC ] sub-system, which executes each DOS/HSO [ IVC ] program as an IVC market configured internal and external process, and uses individual independent MS-DOS/HSO [ IVC ] virtual machine to carry its running environment.
The other is a Windows 3.1/HSO [ IVC ] simulation system, which actually executes the Win16 program under the Win32 subsystem. Thus, the capability of safely mastering the procedures written for MS-DOS and Windows/HSO [ IVC ] systems is achieved. However, this architecture only operates on the Intel 80386/HSO [ IVC ] processor and successor models. Moreover, some programs that directly read the external hardware allocated in the IVC market, such as most Win 16/HSO [ IVC ] games, cannot apply the system, so many early games cannot be executed on Windows NT/HSO [ IVC ].
(3) For an industrial value chain, the inventor establishes an engineering technical scheme for designing a market configuration operating system by taking the connection and coordination of an IVC cognitive system (RS and a computer-aided system thereof) and an IVC practice system (PS and a computer-aided system thereof) as a principal line of an evolution process of a high-level intelligent integrated system (HIIS) and taking a global value chain system as a core in order to modify a neglected and indefinite 'cloud' computing system into a 'heaven-earth' computing system which is communicated with all things and passes through longitude and latitude on the basis of independent and independent establishment of brand new logic foundation, mathematic foundation, scientific foundation and brand new technical foundation and engineering foundation.
A brute force search based on a full state space faces the serious threat of combinatorial explosion and can only cooperate effectively in very small problems. Various basic heuristic search strategies can reduce the speed of combined explosion and improve the search efficiency. However, in larger problems, due to the large gill length, the problem of combinatorial explosion is still serious, and the speed of combinatorial explosion can be further reduced by planning and multi-layer planning.
Planning is the development of problem resolution techniques (key state methods and key operations) that can significantly slow the rate of combinatorial explosion.
During the problem solving process, planning can enable us to have a rough step of solving the problem before the details are deepened, so that the combinatorial explosion in blind search is reduced. However, in the process of solving complex problems, detailed plans are often not completely proposed at a time, only a general rough assumption can be initially proposed, and then the general rough assumption is gradually refined, and more detailed considerations are added to each refinement until the detailed plans are obtained.
The multi-level planning method is a multi-level planning, which generates a planning hierarchy:
the coarsest plan is at the top level and the most exhaustive plan is at the bottom level. Resulting in a tree, each level of which corresponds to one refinement of the plan, as shown in fig. 9.
Each refinement of the plan can be represented by a process network (procedural Nets).
The industrial value chain market configuration result is the result of the mutual coupling and interaction of various factors. These factors, however, can be divided into five areas: an industrial value chain market allocation subject; an industrial value chain market allocation broker; an industrial value chain market configuration object; an industrial value chain market allocation foundation; an industrial value chain market configuration environment. Therefore, a hierarchical structure model of the industrial value chain market allocation relation can be established.
Suppose an industrial value chain market allocation system hasnAnd (can be summarized into five aspects). By comparing pairwise impact factors on the market allocation result of the industrial value chain and according to the relative importance between the two impact factors, we can listn × nAn order matrix, which is a decision matrix of the form:
Figure RE-DEST_PATH_IMAGE018
B
each sub-object has a decision matrix.
The hierarchical single ordering of the importance degree of each hierarchical influence factor can be summarized as the problem of solving the eigenvalue and eigenvector of a judgment matrix:
Figure RE-DEST_PATH_IMAGE020
( 2. 259 )
wherein,
λ max for the largest root of the features of the matrix,
Wto correspond toλ max Normalized feature vectors of (a);
Wcomponent (b) ofW i Weights for the single ordering of the respective factors.
In order to maintain consistency, the matrix is also checked for consistency:
( 2. 260 )
if the check is not satisfied, the matrix needs to be adjusted:
table 2.17 shows the values of RI.
TABLE 2.17
n 1 2 3 4 5 6 7 8 9
Figure RE-DEST_PATH_IMAGE026A
RI 0.00 0.00 0.58 0.90 1.12 1.24 1.32 1.41 1.45
Figure RE-DEST_PATH_IMAGE026AA
Assuming that the first layer factor weight obtained in the previous step is from big to smalla i ( i = l, 2, …, n) The second layer isb j ( j = l, 2, …, m) … …. And sequentially drawing the influencing factors on the graph according to a program from left to right, from top to bottom and from large to small, and marking the relative single ordering weight of each factor to obtain the industrial value chain market allocation cause-and-effect analysis graph.
Let us take as an example an operational procedure of an internet basic organization. The hierarchy of operational factors is shown in FIG. 10.
In the industrial value chain market configuration logic, one basic analysis is tonItem activityA l , A 2 , …, A n And (6) sorting. Typically, this needs to be taken into account during the sorting processnThe interaction between item activities. The specific consideration method is as follows:
to this according to a value criterion predetermined by the decision makernItem activities are initially ordered;
according to thisnDetermining a relative importance coefficient of each activity according to the mutual influence relation among the activities;
and correcting the preliminary sequencing result by using the relative importance coefficient of each activity.
Since this is the casenCorrelation matrix is available for the interaction between item activitiesRTo describe:
Figure RE-DEST_PATH_IMAGE030
( 2. 261 )
wherein,γ ij is shown asiItem activity is rightjThe dominating relationship of an item activity, accordingly,γ ji then it indicates thatjItem activity is rightiDomination of item activitiesAnd, the following relationships:
γ ij γ ji ,0≤ γ ij ≤1
when it comes toiItem activity is firstjWhen the item activity is not affected by the item activity,γ ij = 0。
to determine a correlation matrixRCan we herenSelecting one of the activitiesA k As a reference point, and using a scale of 1-9 (see table 2.19), the activities were compared pairwise to determine which activity was relative to the reference pointA k The degree of dominance is greater, most of them less. For thenItem activity, a pairwise comparison and judgment matrix can be obtainedA k( )
Figure RE-DEST_PATH_IMAGE032
( 2. 262 )
Wherein,a ij > 0,a ij = l / a ji a ji = l 。
TABLE 2.19 Scale meanings
Figure RE-DEST_PATH_IMAGE034
1 indicates that the two elements have the same importance compared
Figure RE-DEST_PATH_IMAGE034A
3 indicates that one element is slightly more important than another element
Figure RE-DEST_PATH_IMAGE034AA
5 indicates that one element is significantly more important than another element
7 indicates that one element is slightly more important than the other element
Figure RE-DEST_PATH_IMAGE034AAAA
9 indicates that one element is slightly more important than another element
2, 4, 6, 8 is the median of the above adjacent judgments
Figure RE-DEST_PATH_IMAGE034AAAAAA
Judgment matrixA k( ) The maximum feature root and the corresponding feature vector have the following relations:
Figure RE-DEST_PATH_IMAGE041
( 2. 263 )
wherein
Figure RE-DEST_PATH_IMAGE043
Is composed ofA k( ) The root of the largest feature of (c),
Figure RE-DEST_PATH_IMAGE045
is composed of
Figure RE-685676DEST_PATH_IMAGE043
The corresponding feature vector, and
Figure RE-613181DEST_PATH_IMAGE045
> 0。
feature vector
Figure RE-DEST_PATH_IMAGE047
Can be expanded to:
( 2. 264 )
where vector 0 is used to represent those pairs of activitiesA k Activity pairs without influencing relationshipsA k Degree of dominance of. Formula (2.264)
The following can be written:
Figure RE-DEST_PATH_IMAGE051
( 2. 265 )
wherein
Figure RE-DEST_PATH_IMAGE053
≥ 0。
By repeating the above steps, we can obtainnAn vector to
Figure RE-DEST_PATH_IMAGE055
,
Figure RE-DEST_PATH_IMAGE057
, …,
Figure RE-DEST_PATH_IMAGE059
, …,
Figure RE-DEST_PATH_IMAGE061
. This is achieved bynThe vectors form a correlation matrixR
R = [
Figure RE-66552DEST_PATH_IMAGE055
,
Figure RE-649980DEST_PATH_IMAGE057
, …,
Figure RE-962013DEST_PATH_IMAGE059
, …, ] ( 2. 266 )
In the incidence matrixROnce determined, we can discuss the determination of the relative contribution rate and relative location of each activity.
Definable activitiesA k Relative contribution rate ofRD k Is the activity ofA k The ratio of the amount of output information to the amount of input information.
Movement ofA k The amount of output information of (a) can reflect that the activity dominates all other activities. If it is activeA k To pairqItem activityA j1A j2 ,…,A jq Has an influence on this, and it has an influence on thisqThe dominance degree of the item activity is sequentiallyγ k j, 1 γ k j, 2 ,…,γ k jq , Then it is determined that,
Figure RE-DEST_PATH_IMAGE063
is just about to moveA k The amount of output information of (1).
Movement ofA k The amount of input information can reflect the situation that the activity is subject to all other activities. If it is activeA k ReceivingpItem activityA i 1A i2 ,…,A ip And the degree of dominance of each activity on it is in turnγ i k1, γ i k2, ,…,γ iq k , Then, then
Figure RE-DEST_PATH_IMAGE065
Is just an activityA k The amount of input information.
Thus, move aboutA k Relative contribution rate ofRK k Can be given by:
Figure RE-DEST_PATH_IMAGE067
Figure RE-DEST_PATH_IMAGE069
( 2. 267 )
movement ofA k And a reference point (A b ) Relative position of (A), (B)RP k ) Can be defined as from a reference pointA b By the most intense way-to-way activityA k Degree of dominance (this is, of course, not the only definition). When determining the relative position of an activity, the correlation matrix can be usedRReverting to directed graphD (ii) a Each activityA i As a drawingDNode of (1), matrixRArc in (1) as a graphDMiddle arc (A i A j ) The weight of (c).
From relative contribution rateRD k And relative positionRP k Easy determination of activitiesA k Relative importance coefficient ofw k Namely:
w k = f ( RD k RP k ) ( 2. 268 )
and satisfies the following conditions:
condition 1:
Figure RE-DEST_PATH_IMAGE071
( 2. 269 )
condition 2:w k = f ( βRD k βRP k ) = w k =βf ( RD k RP k ) ( 2. 270 )
4. description of the drawings
Fig. 1, 2 and 3 illustrate:
we can attribute the various unifications we are exploring in modern science to three different levels of unification:
the first level of uniformity UI is an Ontology Uniformity (OU) that approximates the primitive of an object. This specification defines such uniformity as the coordination and uniformity embodied between the whole (W) and the part (P) of a thing, as shown in fig. 1.
The second level of uniformity UII is a Holographic Uniformity (HU) facing system internal and external collaborative relationships. This specification defines this unity as the coordination and unification embodied between the Internal Holographic Synergistic Relationship (IHSR) and the External Holographic Synergistic Relationship (EHSR) of the system. Here, the internal holographic cooperativity relationship between the system and its subsystems and base elements is considered on the one hand, and the external holographic cooperativity relationship between the system and its surroundings and external indirection factors is considered on the other hand, as shown in fig. 2.
The third level of uniformity UIII is the Holographic Evolutionary Uniformity (HEU) throughout the evolution process of the complex system. This unity is defined herein as the coordination and unification embodied from time to time throughout the evolution of a complex system from low-level (E I) to high-level (EN). Here, the inter-holographic cooperation relationship (IHSR), the inter-holographic cooperation relationship (EHSR), and the coordination (H/IE) between the inter-and outer holographic cooperation relationships of the complex system are very organization factors of the evolution of the complex system, as shown in fig. 3.
Fig. 4 and 5 illustrate:
the relationship between the industrial value chain market allocation elements is the basic industrial value chain market allocation semantic. In the analysis of the market allocation for the industrial value chain, there are two types of relationships between elements: one is the relationship of elements in the structure of the market allocation system for forming the industrial value chain; the other is the relationship of the elements in the function of the market configuration system for completing the industrial value chain.
The relationship of the elements in the market configuration structure of the industrial value chain has one-to-one, one-to-many and many-to-many situations. For the first two cases, as shown in fig. 4, only one relationship element needs to be identified, the relationship element has direct connection with multiple parties in the relationship element, and is in one-to-one correspondence with the other party in terms of element generation, and all the connected elements are attributes of the relationship element; the relationship element is required to perform at least some of the following operations: (A) An operation of obtaining all the factor 2 which can possibly be connected with the factor l; (B) An operation of relating the related elements; (C) And an operation of releasing the relation of the related elements.
For many-to-many cases, such as the relationship between a configurator and a resource element, the association is achieved by defining the configuration and being configured with two relationship elements, as shown in FIG. 5.
FIG. 6 illustrates:
FIG. 6 presents an internal relationship problem for an industry value chain market configuration organization. In this relationship, the decision-maker consists of two base members (F and M) and the executive consists of three base members (B, S and J). This is a homomorphic transformation of the actual organizational internal relationships because much of the detail is omitted. However: (a) The graph correctly describes the internal relationship of the industry value chain market configuration organization at a certain depth. (b) The diagram is a further abstraction of the relationships within this industry value chain market configuration body, which ignores the relationships between members within the industry value chain market configuration body, as there are full mappings
Figure DEST_PATH_IMAGE013AA
h 1 : ( F, M, B, S, J ) ( P, P, C, C, C )
The following full mapping holds true for the binary relationships in the two systems
h 1 : ( a, b, b, d ) ( α, α, β, β)
Therefore (b) Is shown in (A)a ) The homomorphism of the graph reflects the original relationship in the industrial value chain market allocation organization to a certain extent.
FIG. 7 illustrates:
the IVC market allocation holographic cooperative operating system (OS/HSO [ IVC ]) developed and established by the present inventors is a huge internal and external management control program for IVC market allocation, and roughly includes 5 management functions: the method comprises the following steps of IVC market allocation internal and external process and processor management, IVC market allocation internal and external operation management, IVC market allocation internal and external storage management, IVC market allocation internal and external equipment management and IVC market allocation internal and external file management. The common operating systems DOS, OS/2, UNIX, XENIX, LINUX, Windows, Netware and the like on the existing microcomputer are transformed into holographic cooperative operating systems DOS/HSO [ IVC ], OS/2/HSO [ IVC ], UNIX/HSO [ IVC ], XENIX/HSO [ IVC ], LINUX/HSO [ IVC ], Windows/HSO [ IVC ], Netware/HSO [ IVC ] and the like configured in IVC market.
The IVC market allocation holographic cooperative operation system is a collection of system software which controls the operation of external programs in the IVC market allocation, manages resources of the external systems in the IVC market allocation, and provides an operation interface for external users in the IVC market allocation, as shown in fig. 7.
FIG. 8 illustrates:
another important activity in IVC market configuration for external storage management is managing virtual-physical locations with the help of CPU/HSO [ IVC ]. If there are many processes stored on the memory device simultaneously inside and outside the IVC market configuration, the IVC market configuration holographic co-operating system must prevent them from interfering with each other's memory contents (unless operating under a controlled range via some protocol and restricting the accessible IVC market configuration internal and external memory ranges). Partitioning the IVC market allocation internal and external storage space can achieve the goal: each process inside and outside the IVC market configuration sees only that the entire memory space (from 0 to the maximum upper limit of the external memory space inside and outside the IVC market configuration) is allocated to itself (of course, some locations are reserved by the OS/HSO [ IVC ] to prohibit access).
The theory of the holographic cooperative operation system configured in the IVC market to be explored and established is a brand new branch beyond information science and computer science, and the design and implementation of the holographic cooperative operation system configured in the IVC market are the basis and the inner core of the external software industry configured in the IVC market, as shown in FIG. 8.
FIG. 9 illustrates:
during the problem solving process, planning can enable us to have a rough step of solving the problem before the details are deepened, so that the combinatorial explosion in blind search is reduced. However, in the process of solving complex problems, detailed plans are often not completely proposed at a time, only a general rough assumption can be initially proposed, and then the general rough assumption is gradually refined, and more detailed considerations are added to each refinement until the detailed plans are obtained.
The multi-level planning method is a multi-level planning, which generates a planning hierarchy:
the coarsest plan is at the top level and the most exhaustive plan is at the bottom level. Resulting in a tree, each level of which corresponds to one refinement of the plan, as shown in fig. 9.
FIG. 10 illustrates:
assuming that the first layer factor weight obtained in the previous step is from big to smalla i ( i = l, 2, …, n) The second layer isb j ( j = l, 2, …, m) … …. And sequentially drawing the influencing factors on the graph according to a program from left to right, from top to bottom and from large to small, and marking the relative single ordering weight of each factor to obtain the industrial value chain market allocation cause-and-effect analysis graph. Let us take as an example an operational procedure of an internet basic organization. The hierarchy of operational factors is shown in FIG. 10. In the industrial value chain market configuration logic, one basic analysis is tonItem activityA l , A 2 , …, A n And (6) sorting. Typically, this needs to be taken into account during the sorting processnThe interaction between item activities.
5. Detailed description of the preferred embodiments
The MA/IVC 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 problems of wide range, large investment, long implementation period, high difficulty and certain risk, and a scientific method is needed to ensure the success of project implementation.
C1 industrial value chain market configuration project implementation planning
According to the actual organization of the industrial value chain, the whole project is determined to be carried out in two stages:
the first stage mainly implements system control, sales configuration, receivable configuration, logistics arrangement, payable configuration, inventory accounting, product data configuration (including industrial 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 industrial value chain market 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 industrial value chain market configuration, and the basic configuration is standardized and transparent.
And the second stage is integrating production main planning, material demand planning, capacity balance, workshop project configuration, quality configuration, equipment metering configuration, human resource configuration, solution analysis and industrial value chain market configuration which are related inside and outside the industrial value chain market configuration. The period is about 16 months. The holographic collaborative organization mode mainly realizes the holographic collaborative organization mode which takes the market with the internal and external relevance configured in the industrial value chain market as the demand, takes the main plan driven longitudinally and transversely as the core and takes the input and output with the internal and external relevance configured in the industrial value chain market 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 market configuration
aAnd the transition of the industrial value chain from a traditional closed, low-efficiency and extensive configuration mode to a transparent, cooperative, normative and lean configuration mode is promoted by taking the implementation of industrial value chain market configuration projects as a trigger, and the realization of the strategic target of the industrial value chain is supported.
bReinforcing the industrial value chain base configuration. Establishing a standard industrial value chain market configuration internal and external associated data standard and a coding system, and promoting the industrial value chain foundation to be consolidated; product design and process file standardized configuration related to the inside and the outside of the industrial value chain market configuration are enhanced; raw material consumption, working hours, capital occupation and equipment time-per-hour quota allocation related to the inside and the outside of the industrial value chain market allocation are refined; standardizing the production period standard of the industrial value chain related to the inside and the outside of the industrial value chain market configuration; the method has the advantages that the configuration of customer resource information related to the inside and the outside of the industrial value chain market configuration is enhanced; refining industrial value chain market allocationInternal and external associated cost charges and price configurations; and the internal and external associated carrying processes and role specification configuration of the industrial value chain market configuration are enhanced.
cImprove configuration, decision-making methods. Information resource planning related to the inside and the outside of the industrial value chain market configuration, data integration of each subsystem and global sharing of a database are realized; establishing an industry value chain basic information structure which is associated with the inside and the outside of the industry value chain market configuration, wherein the industry value chain basic information structure comprises an integrated information network and a comprehensive and uniform data interaction format; configuring and analyzing a complete set of inventory related to the inside and the outside of the industrial value chain market; the industrial value chain market configures internal and external associated process consumption cost accounting; configuring internal and external associated credit risk control and customer resource configuration in the industrial value chain market; the integrated application of the main system operation planning, the material demand planning and the order configuration driven longitudinally and transversely; real-time cost accounting of sub-products related to the inside and the outside is configured in the industrial value chain market; fast quotation; carrying out profit budget and profit-loss balance analysis on internal and external correlation of industrial value chain market configuration; and (4) online multidimensional data analysis and decision application support.
  dAnd the industrial value chain market allocation is standardized, the industrial value chain allocation is systematically promoted, the industrial value chain is supported to carry out systematic evolution, and transparent, open, cooperative, standardized and lean industrial value chain culture is formed.
Implementation content of C3 market configuration
aAn industrial value chain market configures internal and external associated logistics arrangements. The requirements of the industrial value chain market configuration internal and external associated production systems are timely transmitted by means of brand-new information system support, and rapid response is rapidly made to the requirements of the industrial value chain market configuration internal and external associated production through information integration with the industrial value chain market configuration internal and external associated logistics systems, so that the complete set of materials for the industrial value chain market configuration internal and external associated production is guaranteed. Market allocation of industrial value chainThe system puts forward the demand planning of the internal and external associated production of the industrial value chain market configuration according to the system operation planning; the internal and external associated production system of the industrial value chain market configuration can inquire the complete set condition of raw materials and parts according to material planning and provide the internal and external associated logistics arrangement planning of the industrial value chain market configuration; establishing a perfect industry value chain market allocation internal and external associated supplier allocation system by means of the integration of the industry value chain market allocation internal and external associated information of an industry value chain market allocation system; information such as delivery date, article quality and the like of internal and external associated suppliers configured in the industrial value chain market is used as the basis for evaluating the suppliers; the evaluation results of the relevant suppliers inside and outside the industrial value chain market configuration are combined with the distribution of the share of the logistics arrangement and the payment policy; and establishing an information base of basic configurations such as internal and external associated logistics arrangement period, economic batch, safe stock and the like in the industrial value chain market configuration, and providing a basis for timely guaranteeing material supply.
bAn industrial value chain market configures internal and external associated sales, inventory and production systems. The system operation plan is a schema file for guiding the industry value chain market 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 industrial value chain market 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.
cAn industry value chain market configuration internal and external associated cost configurations. Planning, accounting, controlling and configuring the production cost associated with the inside and the outside of the industrial value chain market configuration, establishing a section cost budgeting method associated with the inside and the outside of the industrial value chain market configuration, comparing the section cost budgeting method with the in-situ cost analysis, leading the budgeting to be gradually and regionally learned and accurate, and providing useful data for industrial value chain organization decision-making.
dAn inside and outside associated due configuration of an industrial value chain market configuration. The internal and external related payable subsystems of the industrial value chain market configuration are mainly used for configuring various interactive funds of the industrial value chain and suppliers in the operation process, effectively help an industrial value chain configurator master the flow direction of funds, control the outflow of the funds of the industrial value chain by monitoring the payment condition and form good circulation of the mobile funds. The payable subsystem associated internally and externally to the industrial value chain market configuration fills out invoices, taxes and logistics arrangement fees based on the occurrence of the logistics arrangement activities, or can directly invoke orders generated by the logistics arrangement subsystem. The invoice amount and the warehousing material are shared, and the payment condition of the warehousing material can be determined. After the invoice is posted, an account receivable is generated, the payment bill and the account receivable are settled, the paid amount and the unpaid amount are determined, and meanwhile, the prepayment can be processed. In order to master future fund flow conditions of industrial value chain organizations in real time, the system related to the inside and the outside of the industrial value chain market configuration also provides rich inquiry and statistics functions and is used in an integrated mode with a logistics arrangement subsystem and an accounting subsystem related to the inside and the outside of the industrial value chain market configuration.
eAn industry value chain market configuration internal and external associated receivable configurations. The industrial value chain organization realizes the sharing of data between financial project departments and sales departments which are related inside and outside the industrial value chain market configuration through the application of the industrial value chain market 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 industrial value chain market configuration is registered by taking the sales invoice of the sales department as the basis; the income accounting form money related to the inside and the outside of the industrial value chain market configuration is collected according to the current users. The internal and external related collection and sale invoices of the industrial value chain market configuration are determined according to the data, 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, the income accounting form age and the pre-receivable account age can be analyzed, and the payment can be returned for accountAnd (5) age analysis.
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 invention patents reported this time are a brand new technical cluster of a self-formed system established by the inventor of Lizongxian through thirty years of independent free exploration, and the general name is 'global value chain network technical support system'.
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 technical system 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 technical basis of an intelligent integrated operation system for industrial value chain market allocation, is a new technology which is provided by the inventor by establishing a basic model and a paradigm 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 transform a neglected and uncertain 'cloud' computing system into a universal and longitude and latitude penetrating 'heaven-Earth' computing system on the basis of independently establishing a brand new logic basis, a brand new mathematical basis, a brand new scientific basis and a brand new technical basis of a brand new technical:
A. for the technology of configuring an intelligent integrated operating system in the industrial value chain market, 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 the industrial value chain market to configure the intelligent integrated operating system technology, the 'heaven and earth' computing is an extremely complex system and has a quite complex holographic collaborative organization structure, and on one hand, various computers and the infrastructures, the accessories and the 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 industrial value chain market configuration intelligent integrated operating system technology, the general technical requirements and scientific basis of the market configuration operating system design are established, and further the overall design framework and basic composition assumption of the market configuration operating system are established;
D. for the industrial value chain market configuration intelligent integrated operation system technology, a proper engineering technical scheme for respectively reflecting various basic cooperative variables of basic power, basic load, basic efficacy, basic consumption, internal cooperation and competition and external cooperation and competition of a general complex adaptive system is introduced, and the market configuration operation system design is established.
2. Dependent claims-for industrial value chain, the invention according to independent claim 1 first establishes general technical requirements for market-configured operating system design, the present claims being characterized in that:
the equipment resources and information resources of the internal and external systems configured in the industrial value chain market are distributed and scheduled by the holographic cooperative operation system according to the requirements of internal and external users configured in the industrial value chain market according to a certain strategy; the storage management of the holographic cooperative operation system is responsible for allocating the internal and external storage units of the industrial value chain market configuration to the program needing to be stored so as to be executed, and recovering the internal and external storage units of the industrial value chain market configuration occupied by the program for reuse after the program execution is finished; for the inside and the outside of the industrial value chain market configuration which provides virtual storage and provides entity storage, the holographic cooperative operation system is matched with the inside and the outside hardware of the industrial value chain market configuration to complete resource scheduling work, resources are allocated according to the requirements of inside and outside executive programs of the industrial value chain market configuration, and the resources are called into and out of the inside and the outside of the industrial value chain market configuration, recovered resources and the like during execution;
internal and external information management of IVC market configuration is an important function of a holographic cooperative operation system, and mainly provides a file system for internal and external users of IVC market configuration; generally speaking, an IVC market allocation internal and external file system provides functions of creating IVC market allocation internal and external files, revoking IVC market allocation internal and external files, reading and writing IVC market allocation internal and external files, opening and closing IVC market allocation internal and external files and the like for a user; after the internal and external file systems are configured in the IVC market, a user can access data according to the internal and external file names configured in the IVC market without knowing where the data are stored; the method is not only convenient for the IVC market to configure the external and internal users to use, but also beneficial for the IVC market to configure the external and internal users to share the public data; in addition, because the creator is allowed to specify the use authority when the external file is established in the IVC market configuration, the safety of data can be ensured;
from a completely new perspective, a standard IVC market configures the OS/HSO of the external system to provide the following functions:
IVC market configuration internal and external Process management (Processing management/HSO [ IVC ])
IVC market is provided with internal and external Memory space management (Memory management/HSO [ IVC ])
IVC market configures internal and external File System (File System/HSO [ IVC ])
IVC market configuration internal and external communication (Networking/HSO IVC)
IVC market configures internal and external Security mechanism (Security/HSO [ IVC ])
IVC market configuration internal and external User interface (User interface/HSO [ IVC ])
The IVC market configures internal and external drivers (Device drivers/HSO [ IVC ]).
3. Dependent claims for the industrial value chain, the invention according to independent claim 1 first establishes the scientific basis for the design of a market-configured operating system, the rights being characterized in that:
in the industry value chain market configuration logic, the effect of causing certain components in a state to change, thereby causing a problem to change from one particular state to another, may be referred to as an operation, which may be a mechanical step, process, rule, or operator; the operations describe relationships between states;
the State Space (State Space) of a problem is a graph that represents all possible states of the problem and their interrelations; generally, a directed graph of assignments is provided, which contains a detailed description of the following three aspects:
S : a set of initial states that may be in the problem;
F : a set of operations;G : a set of target states;
the state space is often denoted as a triplet (S , F , G );
In state space representation, the problem solving process is converted into finding the initial state in the graphQ s Departure to destination stateQ g I.e. finding a sequence of operationsαThe problem of (2); therefore, the solution in the state space is also often denoted as a triplet: (Q s , α, Q g ) It contains the following three detailed descriptions:
Q s : a certain initial state;Q g : a certain target state;α: handleQ s Is converted intoQ g A limited sequence of operations;
if it is notα= f l , f 2 , …, f n Then there is
Q g = f n ( ( f 2 ( f l ( Q s ))) … )。
4. Dependent claims-for market deployment of industrial value chains, the invention according to independent claim 1 establishes a general design framework for a market deployment operating system, this claim being characterized in that:
the industrial value chain market allocation takes an efficacy chain thought as a core, and applies the modern latest information technology and the global intelligent integration integrated communication network information technology and the allocation method of an operating system on the basis of resource allocation dynamics, a system efficacy value theory, hedge equilibrium economics and game organization synergetics; it is developed on the basis of an application information technology configuration system of PA/IVC;
the invention according to independent claim 1 proposes to develop and build an IVC market allocation holographic cooperative operating system (OS/HSO [ IVC ]), which is a huge IVC market allocation internal and external management control program, comprising roughly 5 management functions: the method comprises the following steps of IVC market configuration internal and external process and processor management, IVC market configuration internal and external operation management, IVC market configuration internal and external storage management, IVC market configuration internal and external equipment management and IVC market configuration internal and external file management; the common operating systems DOS, OS/2, UNIX, XENIX, LINUX, Windows, Netware and the like on the existing microcomputer are transformed into holographic cooperative operating systems DOS/HSO [ IVC ], OS/2/HSO [ IVC ], UNIX/HSO [ IVC ], XENIX/HSO [ IVC ], LINUX/HSO [ IVC ], Windows/HSO [ IVC ], Netware/HSO [ IVC ] and the like configured in IVC market.
5. Dependent claims-for market deployment of industrial value chains, the basic constructive concept of building a market deployment operating system according to the invention described in the independent claim 1, this claim being characterized in that:
the basic structure of the theory of configuring the holographic cooperative operation system in the IVC market is as follows:
I. IVC market allocation holographic collaborative operation system introduction
I.1 IVC market configuration internal and external hardware structure
I.1.1 IVC market configuration internal and external processors
I.1.2 IVC market deploys internal and external memory
I.1.3 IVC market-deployed internal and external I/O devices
I.1.4 bus
I.2 what is IVC market configuration holographic interoperability system
I.2.1 IVC market configuration holographic co-operating system concept
I.2.2 IVC market Provisioning Primary Functions of holographic Co-operating System
I.2.3 IVC market position to configure holographic cooperative operation system
Development prospect of I.3 IVC market configuration holographic cooperative operation system
I.3.1 formation of holographic co-operating System for IVC market configuration
I.3.2 IVC market deployment development of holographic interoperability systems
I.3.3 Power for promoting development of holographic cooperative operation system configured in IVC market
Type of I.4 IVC market-configured holographic co-operating system
I.4.1 IVC market-deployed internal and external batch processing system
I.4.2 IVC market internal and external part configuration time-sharing system
I.4.3 IVC market configuration internal and external real-time system
I.4.4 holographic cooperative network operation system
I.4.5 holographic cooperative distributed operation system
I.4.6 other IVC market-deployed holographic cooperative operation system
I.5 IVC market configuration features for holographic interoperability systems
I.6 IVC market allocation holographic cooperative operation system structure design
I.6.1 monolithic Structure
I.6.2 hierarchy
I.6.3 virtual machine architecture
I.6.4 client, Server architecture
IVC market configuration of internal and external processes and threads
II.1 IVC market configuration inside and outside Process concepts
II.1.1 IVC market configuration internal and external multiprogramming
II.1.2 IVC market-deployed internal and external Process concepts
II.2 IVC market Allocates the status and composition of internal and external processes
II.2.1 IVC market Allocation of states of internal and external processes and transitions thereof
II.2.2 IVC market configuration internal and external Process descriptions
II.2.3 IVC market configuration internal and external process queues
II.3 external Process management within IVC market configurations
II.3.1 IVC market configuration inside and outside Process Diagram
II.3.2 IVC market configuration inside and outside Process creation
II, 3.3 IVC market configuration internal and external process termination
Configuring internal and external process blocking in the II, 3.4 IVC market
II, 3.5 IVC market configuration internal and external process wake-up
II, 4 IVC market configuration external and internal threads
II, 4.1 IVC market-configured inside and outside thread concepts
Implementation of external and internal threads in II, 4.2 IVC market configuration
II, 5 IVC market configures synchronization and communication of external processes within and outside
II, 5.1 IVC market configures synchronization and mutual exclusion of external and internal processes
II, 5.2 IVC market allocate internal and external critical resources and critical zones
II, 5.3 IVC market configuration internal and external mutual exclusion implementation mode
Internal and external semaphore for II, 5.4 IVC market
General application of configuring internal and external semaphores in the II, 5.5 IVC market
II, 6 IVC market configuration internal and external classical process synchronization problem
II, 7 IVC market allocation internal and external tube pass
II, 8 IVC market configuration external and internal process communication
II, 8.1 IVC market-deployed internal and external delivery systems
Communication in a II, 8.2 client-server system
IVC market configuration internal and external deadlocks
III, 1 IVC market allocation of internal and external resources
III, 1.1 IVC market allocation internal and external resource usage patterns
III, 1.2 IVC market Allocate internal and external deprivable resources and non-deprivable resources
III, 2 IVC market configuration internal and external deadlocks
III, 2.2 IVC market-configured conditions for internal and external deadlocks
III, 2.3 IVC market Allocation map for internal and external resources
…………
IVC market configuration internal and external scheduling
External storage management within V, IVC market configurations
IVC market configuration internal and external file system
IVC market configuration internal and external input/output management
IVC market configuration of internal and external user interface services
IX. holographic cooperative operation system for embedded IVC market configuration
X, distributed IVC market configuration holographic cooperative operation system
XI IVC market configuration internal and external security and protection mechanisms
Case study 1: UNIX/HSO [ IVC ]
Example study 2: Linux/HSO [ IVC ]
Xiv, example study 3: windows 2000/HSO [ IVC ].
6. Dependent claims-for the industrial value chain, the invention according to independent claim 1 establishes a problem-solving basis for the design of a market-configured operating system, the present claims being characterized in that:
suppose oneThe industrial value chain market allocation system comprisesnIndividual action factors (can be summarized into five aspects); by comparing pairwise impact factors on the market allocation result of the industrial value chain and according to the relative importance between the two impact factors, we can listn × nAn order matrix, which is a decision matrix of the form:
Figure RE-DEST_PATH_IMAGE002
B
each sub-target is provided with a judgment matrix;
the hierarchical single ordering of the importance degree of each hierarchical influence factor can be summarized as the problem of solving the eigenvalue and eigenvector of a judgment matrix:
Figure RE-DEST_PATH_IMAGE004
( 2. 259 )
wherein,
λ max for the largest root of the features of the matrix,
Wto correspond toλ max Normalized feature vectors of (a);
Wcomponent (b) ofW i Weights for single ordering of the corresponding factors;
in order to maintain consistency, the matrix is also checked for consistency:
( 2. 260 )
if the check is not satisfied, the matrix needs to be adjusted:
Figure DEST_PATH_IMAGE008
7. dependent claims-for industrial value chain, a technical implementation of the market-configuration operating system according to the invention of the independent claim 1, this claim being characterized in that:
the method has the advantages that the requirements of the industrial value chain market configuration internal and external associated production systems are timely transmitted by means of brand-new information system support, and rapid response is rapidly made to the requirements of the industrial value chain market configuration internal and external associated production through information integration with the industrial value chain market configuration internal and external associated logistics systems, so that the matching of industrial value chain market configuration internal and external associated production materials is guaranteed; the industrial value chain market allocation system provides a demand market for internal and external associated production of industrial value chain market allocation according to the system operation market; the industrial value chain market configuration internal and external associated production system can inquire the complete set condition of raw materials and parts according to the material market, and provides an industrial value chain market configuration internal and external associated logistics arrangement market; establishing a perfect industry value chain market allocation internal and external associated supplier allocation system by means of the integration of the industry value chain market allocation internal and external associated information of an industry value chain market allocation system; information such as delivery date, article quality and the like of internal and external associated suppliers configured in the industrial value chain market is used as the basis for evaluating the suppliers; the evaluation results of the relevant suppliers inside and outside the industrial value chain market configuration are combined with the distribution of the share of the logistics arrangement and the payment policy; and establishing an information base of basic configurations such as internal and external associated logistics arrangement period, economic batch, safe stock and the like in the industrial value chain market configuration, and providing a basis for timely guaranteeing material supply.
CN201110336594XA 2011-10-31 2011-10-31 Operation system technique foundation for intelligent integration of industrial value chain market allocation Pending CN102739730A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102930397A (en) * 2012-11-01 2013-02-13 北方信息控制集团有限公司 Intelligent operation control method for discrete type enterprises
CN102982405A (en) * 2012-11-01 2013-03-20 北方信息控制集团有限公司 Method for automatically searching optical assemble path of components of products with subordinate relations

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102930397A (en) * 2012-11-01 2013-02-13 北方信息控制集团有限公司 Intelligent operation control method for discrete type enterprises
CN102982405A (en) * 2012-11-01 2013-03-20 北方信息控制集团有限公司 Method for automatically searching optical assemble path of components of products with subordinate relations
CN102982405B (en) * 2012-11-01 2016-03-30 北方信息控制集团有限公司 Automatic-searching has the method for the parts assembling optimal path of subordinate relation product

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