CN112288343A - System capability generation-oriented three-dimensional grid variable architecture construction method - Google Patents
System capability generation-oriented three-dimensional grid variable architecture construction method Download PDFInfo
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Abstract
The invention discloses a system capability generation-oriented three-dimensional grid variable architecture construction method, which comprises the following steps: defining a capability element and an association relation based on heterogeneous resource classification layering; designing a target-centered joint information processing and service mechanism; designing an agile command-oriented decision flow on-demand definition mechanism; designing a cross-domain cooperation-oriented weapon roaming guidance control mechanism; and designing a task scene driven architecture and adaptation mechanism. The invention supports a new mode of system application of 'ability borrowing', does not occupy the resource 'in use', and realizes fine-grained integrated associated application of global resource ability on the basis of not breaking the existing compiling system and resource membership; the system has expandability and programmability, can add new layers on the basis of 4 logic layers according to requirements, and also supports the dynamic programmable scheduling of various resource capacities in a software definition mode, so that the system capacity generation mode is changed from 'manual + plan' to 'self-adaptive'.
Description
Technical Field
The invention relates to the field of C4KISR system architecture design, in particular to a system capability generation-oriented three-dimensional grid variable architecture construction method.
Background
The C4KISR system belongs to a complex military informatization system. C4 represents command, control, communication, computer, and the English initial letters of four characters are all "C", so it is called "C4"; k represents killer, "I" represents intelligence; "S" stands for electronic listening; "R" represents scout. C4KISR is the abbreviation for the first letter of the English word of 8 subsystems in a modern military Command system, namely Command, Control, Communication, Computer, Kill, Intelligence, Surveillance, Reconnaissance. Architecture is a high-level abstraction of complex systems. The architecture provides a mechanism for describing and managing a complex system, ensures the interoperability of the system through a unified standard specification, and helps various personnel such as system users, designers, implementers and the like to form a common understanding of the system collaborative operation process. The C4KISR system architecture determines the system operational capacity of the system, and is the basis for guiding the system construction and development.
Currently, mainstream information system architecture definition methods include a national defense department architecture framework (DoDAF), a british national defense department architecture framework (MoDAF), and the like, but the mainstream information system architecture definition methods only provide a general architecture design model and a top-level macroscopic design principle, cannot guide system architecture design in a networked environment, do not support flexible and dynamic task-based resource scheduling, and cannot realize combined application of resource capacity as required. The literature provides a method for constructing a two-dimensional four-network model of a network information system comprehensively considering characteristics of a super network and service, describes information flow conditions under task drive, does not provide an efficient joint information processing and service mode and a system capacity dynamic adaptation mechanism, and cannot support efficient information processing and system capacity adjustment under system operation. In the literature, a system resource modeling method is discussed, and a system resource dynamic cooperation mechanism based on the combination of workflow and autonomous negotiation is provided, but the resources are mainly positioned into 5 types of resources such as information service, calculation, storage, transmission and perception, do not contain combat resources such as control and weapons, and cannot support the organization and application of all elements in an OODA loop. The document also provides a network information system capability aggregation mechanism, describes the processes of battle tasks, battle units, command structure optimization generation and system resource allocation, and does not provide a function-based resource classification and layering method and a combined calling method for efficient processing and service of joint information and battle capability according to needs.
Disclosure of Invention
Aiming at the problem of forming the fighting capacity of a body system through cross-domain coordination, the invention aims to provide a system capacity generation-oriented three-dimensional grid variable architecture construction method, which supports the flexible task organization and application of whole network fighting resources, forms the mixed integration of the overall capacities of different domain resources through three-dimensional grids, and realizes the flexible construction and efficient operation of the system fighting capacity.
In order to achieve the purpose, the invention adopts the technical scheme that:
a three-dimensional grid variable architecture construction method facing system capability generation comprises the following steps:
step 1, defining a capability element and an association relation based on heterogeneous resource classification and layering;
step 2, designing a target-centered joint information processing and service mechanism;
step 3, designing an agile command-oriented decision flow on-demand definition mechanism;
step 4, designing a cross-domain cooperation oriented weapon roaming guide control mechanism;
and 5, designing a task scene driven system structure and an adaptation mechanism.
Preferably, step 1 comprises:
(1) and dividing the C4KISR system node into basic resources, information resources, decision resources and action resources according to functions to form 4 levels of a basic supporting layer, an information service layer, a decision supporting layer and a weapon control layer, wherein the 4 levels are used as 4 planes of a variable architecture.
(2) Defining a class 6 capability element model for a system node, comprising: the system comprises a detection perception capability element model, an information processing capability element model, a command decision capability element model, a striking capability element model, a guide control capability element model and a basic support capability element model.
(3) Defining a 4-type incidence relation model among the capability elements, comprising: intelligence guarantee and sharing relation, command and control relation, state synchronization and feedback relation and system guarantee relation.
Preferably, step 2 comprises:
based on battlefield space grid division, land, sea, air, sky, net and electricity multi-source information is gathered by taking a target as a center, and global target information service is provided for corresponding capacity elements through distributed processing and grid information splicing.
Preferably, step 3 comprises:
establishing a combat command marshalling and the attributes thereof, defining the use permission of the command decision capacity elements to other capacity elements, selecting corresponding decision products and supporting the execution of command services.
Preferably, step 4 is specifically:
and according to the space-time range of the striking capacity elements, carrying out dynamic preferential matching on the corresponding guide control capacity elements, and realizing the universal roaming and over-the-horizon control on the weapon through automatic cross-region switching.
Preferably, step 5 is specifically:
according to the execution requirement of the combat mission, various ability elements are selected from a basic supporting layer, an information service layer, a decision supporting layer and a weapon control layer, the association relation among the various ability elements is established, dynamic optimization and adjustment are carried out according to the mission change, the completion of the combat mission is continuously guaranteed, and a three-dimensional grid framework is formed.
Preferably, in step 1, the 4 levels are specifically:
the basic support layer comprises basic resources such as calculation, storage, network and the like, and provides operation guarantee capabilities such as centerless distributed parallel information processing and cross-domain end-to-end interconnected information transmission and the like aiming at operational application service characteristics such as professional information processing, target indication resolving, cooperative command and the like.
The information service layer comprises information processing resources, flexibly organizes, integrates elements, processes and analyzes various information sources facing to the combat mission, forms information products required by strategy, battle, tactics and battle, and provides combined combat information service capability according to needs.
The decision support layer comprises various command post resources at all levels and provides the capabilities of joint operation planning, operation task allocation, joint operation commanding, operation flow control, operation effect evaluation and the like.
The weapon control layer comprises various weapon platforms and guide control resources and provides fine granularity of hitting capacity, cross-domain combined application and global roaming control capacity.
Preferably, in step 1, the category 6 capability element model is specifically:
the detection perception capability element model (O) represents the capability of detecting or reconnaissance various target characteristics in a battlefield space, and the triad O =< SO, OO, CO>And (4) showing. SOThe space attribute represents the position of the capability element and the motion trail information in the process of executing the task. O isOThe capability elements are organization attributes that indicate organization relationships such as collaboration relationships between the capability elements and other capability elements when executing tasks. COIs a capability attribute, represents each capability index of a capability element, and uses a triple CO=< COT ,COS ,COQ>Is represented by COTIndicates the information acquisition type, COSIndicating an information acquisition range, COQIndicating the quality of information acquisition.
The information processing capability element model (P) represents the capability of carrying out comprehensive/fusion processing on the information of the battlefield target, and the triple P =isused for expressing the capability of carrying out comprehensive/fusion processing on the information of the battlefield target< SP, OP, CP>Denotes SPThe space attribute represents the initial position of the capability element and the motion trail information in the process of executing the task. O isPThe capability elements are organization attributes that indicate organization relationships such as collaboration relationships between the capability elements and other capability elements when executing tasks. CPIs a capability attribute, represents each capability index of a capability element, and uses a triple CP =<CPT, CPP, CPD>， CPTIndicating the type of information processing, CPPRepresents the amount of information processed per unit time, CPDIndicating the average time required for intelligence processing.
The command decision ability element model (D) is the ability of forming a battle scheme according to the battlefield situation and commanding the subordinate troops and weapon platforms, and the triad D =is used<SD, OD, CD>And (4) showing. SDThe space attribute represents the initial position of the capability element and the motion trail information in the process of executing the task. The OD is an organization attribute and indicates an organization relationship such as a cooperative relationship between the capability element and another capability element when executing a task. CD is a capacity attribute, represents each capacity index of a capacity element, and is represented by a triple CD =<CDA, CDQ, CDD>It is shown that CDA represents the area of responsibility, CDQ represents the decision quality, and CDD represents the average decision time.
The striking capability factor model (A) is the capability of completing the target striking task according to the battle plan or the command, and the three groups A =< SA, OA, CA>And (4) showing. SA is a spatial attribute, and represents the initial position of the capability element and the movement trace information during the execution of the task. O isAThe capability elements are organization attributes that indicate organization relationships such as collaboration relationships between the capability elements and other capability elements when executing tasks. CAIs a capability attribute, represents each capability index of a capability element, and uses a triple CA=<CAT, CAS, CAV>Is represented by CATIndicates the object type, CASDenotes the extent of attack, CAVIndicating the striking speed.
The guidance control capability element model (N) is the capability of guiding the killing equipment to hit the target according to the target information, and the triple N =is used< SN, ON, CN>Denotes SNThe spatial attribute is information indicating the initial position of the capability element and the movement locus during the execution of the task. O isNThe capability elements are organization attributes that indicate organization relationships such as collaboration relationships between the capability elements and other capability elements when executing tasks. CNIs a capability attribute, represents a capability elementThe three element C is used as each ability index ofN=<CNT, CNV, CNQ>Is represented by CNTIndicates the type of boot, CNVIndicating the speed of solution, CNQIndicating the quality of the solution.
The basic support capacity element model (C) is the capacity capable of providing operation guarantee of a system such as calculation, storage, communication and the like, and the triad C =isused for the basic support capacity element model (C)< SC, OC, CC>And (4) showing. SCIs a spatial attribute and is a position representing a capability element. O isCThe capability element is an organization attribute indicating an organization relationship such as a cooperative relationship with other capability elements when providing a service. CCIs a capability attribute, represents each capability index of a capability element, and uses a triple CC=<CCV, CCC, CCB>Is represented by CCVIndicating the calculated speed, CCCDenotes the storage capacity, CCBRepresenting the communication bandwidth.
Preferably, in step 1, the 4 types of association relationship models are specifically:
the information security and sharing relation (IR) is represented by A quadruple IR = < O-P, O-N, P-D, N-A >, wherein O-P represents that information obtained by detecting the perception capability element is sent to the information processing capability element for processing, O-N represents that the information obtained by detecting the perception capability element is sent to the guide control capability element for use, P-D represents that the information of the information processing capability element is sent to the command decision capability element for use, and N-A represents that the guide control capability element sends the guide information to the striking capability element for use.
The command and control relation (C2R) is represented by a triad C2R = < D-N, D-O and D-D >, wherein D-N represents that a command decision-making element directly sends a control command or plan to a guide control capability element, D-O represents that a command decision-making capability element directly sends a related control command to a detection perception capability element, and D-D represents that a superior command decision-making capability element directly sends a command-related plan or command to an inferior command decision-making capability element.
The state synchronization and Feedback Relationship (FR) is represented by a hexahydric group FR = < N-D, D-N, O-D, D-D, N-N, O-O >, the N-D represents that a guidance control ability element directly feeds the state of the guidance control ability element back to a command decision ability element, the D-N represents that the command decision ability element sends information such as a threat target to the guidance control ability element, the O-D represents that an information acquisition ability element feeds self state information back to the command decision ability element, the D-D represents that the command decision ability element sends the state information to a command decision ability element with a cooperative relationship, the N-N represents that the guidance control ability element sends the state information to a guidance control ability element with a cooperative relationship, and the O-O represents that a detection perception ability element sends the state information to a detection perception ability element with a cooperative relationship.
The system guarantee relationship (SG) is represented by four-tuple SG = < C-N, C-P, C-O and C-D >, wherein C-N represents the support of basic support capacity elements on functions of guiding striking capacity element target solution and the like, C-P represents the support of basic support capacity elements on functions of information fusion and the like, C-O represents the support of basic support capacity elements on functions of detecting perception capacity element target information processing and the like, and C-D represents the support of basic support capacity elements on functions of commanding decision capacity element task planning and the like.
Preferably, step 2 specifically comprises the following steps:
(1) dividing the geographic space into grids with uniform width according to the same longitude and latitude distance, numbering each grid, and distributing the information processing tasks of each grid to corresponding information processing capacity elements;
(2) according to the grid where the detection information is located, gathering the air information, the sea information, the land information, the network information, the electricity information and the day information into information processing capacity elements corresponding to the grid to perform information one-time processing to form local target information in the grid;
(3) and splicing the adjacent grid target information to form global target information, and providing information service for each command decision capability element and each guide control capability element according to requirements.
Preferably, step 3 specifically comprises the following steps:
(1) and aggregating the command and decision ability elements into a combat command marshalling, describing the composition, tasks and command cooperation relationship among the command marshalling, and using a quadruplet BT = < Name, Mission, Node and relationship >, wherein the Name is the marshalling Name, the Mission is the combat task, the Node is the command and decision ability element of the command marshalling, and the relationship is the command/cooperation relationship among the command and decision ability elements.
(2) And defining the use authority of the command decision capability element on detection perception, information processing, striking, guide control and basic support capability elements.
(3) In the basic classification of a command decision product system, a decision product corresponding to each command decision capability element is inquired and generated according to a command/cooperation relation, and corresponding command services are supported, wherein the corresponding command services comprise joint operation planning, operation task allocation, joint operation command, operation flow control, operation effect evaluation and the like.
Preferably, step 4 specifically comprises the following steps:
(1) capability service registration and sharing
Performing service encapsulation and registration on the strike capability element and the guide control capability element to form a distributed shared capability service directory, wherein the description attributes comprise: capability type, capability index, available time period, capability dependency, authorized use range of the capability.
(2) Matching of strike capability elements with guidance control capability elements
Segmenting the striking capacity elements according to time or space, regarding the striking capacity elements of each time/space segment, taking the precision and the time delay requirement of guide control as constraints, preferably selecting the guide control capacity elements in the current time/space segment in a service directory, and generating a matching scheme of the striking capacity elements and the guide control capacity elements in real time.
(3) Automatic cross-zone switching of bootstrap control capability service
Through the trajectory trend prediction of the elements of the striking ability and the service quality evaluation of the guide control ability, the information is automatically synchronized in real time and the guide switching success is judged in the overlapped area of the guide control ability, the universal roaming relay control of the elements of the striking ability is realized, and the weapon is supported to strike the enemy target in a silent mode.
Preferably, step 5 specifically includes:
(1) capability element matching
The method is characterized in that the optimal target of shortest task completion time and maximum combat effectiveness is used for optimizing appropriate capacity elements for the combat task, wherein the capacity elements comprise detection perception, information processing, command decision, attack, guidance control and the like, and a matching scheme between the task and the capacity elements is generated.
(2) Design of association relation of capability elements
According to the operational business process, the relationships among different capacity elements are established, including an information security and sharing relationship (IR), a command and control relationship (C2R) and a state synchronization and Feedback Relationship (FR), and the work process of the capacity elements is generated.
(3) Foundation support resource allocation
And configuring and optimizing and scheduling basic supporting capacity elements for the capacity elements according to the workflow of the capacity elements. And optimally configuring basic support capacity factors such as calculation, storage, communication and the like of each business process according to the maximum service quality optimization target of the business process.
(4) Dynamic adjustment and optimization of system capacity
And (4) when the task is changed, re-executing the steps (1) - (3) to continuously ensure that the battle task is completed.
Compared with the prior art, the invention has the following beneficial effects:
(1) the method adopts a capability-based method to perform element and relation modeling on multi-level multi-class battlefield resources, can support a new mode of system application of 'capability borrowing', does not occupy the resource (the capability of use does not occupy the entity), and realizes the integrated associated application of fine granularity of the capability of the universe resources on the basis of not breaking the existing compilation system and the resource membership.
(2) The three-dimensional grid variable architecture constructed by the method has expandability and programmability, can add new layers on the basis of the current 4 logic layers according to requirements, and can support the dynamic programmable scheduling of various resource capacities in a software definition mode, so that the system capacity generation mode is changed from manual and plan to autonomous adaptive.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention and not to limit the invention.
FIG. 1 is a flowchart of a method for constructing a three-dimensional grid variable architecture oriented to architecture capability generation according to the present invention.
Fig. 2 is a perspective grid schematic view.
Fig. 3 is a basic classification diagram of a decision-making product system.
FIG. 4 is a schematic diagram of joint information processing.
Detailed Description
The present invention is described in further detail below with reference to the attached drawing figures. Many modifications and variations of the present invention based on the spirit thereof will be apparent to those skilled in the art and fall within the scope of the present invention.
The method for constructing the three-dimensional grid variable architecture facing the system capability generation is shown in the figure 1, and the specific implementation process is as follows:
step 1, defining capability elements and association relation based on heterogeneous resource classification and layering
(1) Dividing the C4KISR system nodes into basic resources, information resources, decision resources and action resources according to functions to form 4 levels of a basic support layer, an information service layer, a decision support layer and a weapon control layer, which are used as 4 planes of a variable architecture, as shown in fig. 2; the 4 levels are specifically:
the basic support layer comprises basic resources such as calculation, storage, network and the like, and provides operation guarantee capabilities such as centerless distributed parallel information processing and cross-domain end-to-end interconnected information transmission and the like aiming at operational application service characteristics such as professional information processing, target indication resolving, cooperative command and the like.
The information service layer comprises information processing resources, flexibly organizes, integrates elements, processes and analyzes various information sources facing to the combat mission, forms information products required by strategy, battle, tactics and battle, and provides combined combat information service capability according to needs.
The decision support layer comprises various command post resources at all levels and provides the capabilities of joint operation planning, operation task allocation, joint operation commanding, operation flow control, operation effect evaluation and the like.
The weapon control layer comprises various weapon platforms and guide control resources and provides fine granularity of hitting capacity, cross-domain combined application and global roaming control capacity.
(2) Defining a class 6 capability element model for a system node, comprising: the system comprises a detection perception capability element model (O), an information processing capability element model (P), a command decision capability element model (D), a striking capability element model (A), a guide control capability element model (N) and a basic support capability element model (C); the category 6 capability element model specifically comprises:
the detection perception capability element model (O) represents the capability of detecting or reconnaissance various target characteristics in a battlefield space, and the triad O =< SO, OO, CO>And (4) showing. SOThe space attribute represents the position of the capability element and the motion trail information in the process of executing the task. O isOThe capability elements are organization attributes that indicate organization relationships such as collaboration relationships between the capability elements and other capability elements when executing tasks. COIs a capability attribute, represents each capability index of a capability element, and uses a triple CO=< COT ,COS ,COQ>Is represented by COTIndicates the information acquisition type, COSIndicating an information acquisition range, COQIndicating the quality of information acquisition.
The information processing capability element model (P) represents the capability of carrying out comprehensive/fusion processing on the information of the battlefield target, and the triple P =isused for expressing the capability of carrying out comprehensive/fusion processing on the information of the battlefield target< SP, OP, CP>Denotes SPThe space attribute represents the initial position of the capability element and the motion trail information in the process of executing the task. O isPThe capability elements are organization attributes that indicate organization relationships such as collaboration relationships between the capability elements and other capability elements when executing tasks. CPIs a capability attribute, represents each capability index of a capability element, and uses a triple CP =<CPT, CPP, CPD>， CPTIndicating the type of information processing, CPPRepresents the amount of information processed per unit time, CPDIndicating the average time required for intelligence processing.
The command decision ability element model (D) is the ability of forming a battle scheme according to the battlefield situation and commanding the subordinate troops and weapon platforms, and the triad D =is used<SD, OD, CD>And (4) showing. SDThe space attribute represents the initial position of the capability element and the motion trail information in the process of executing the task. The OD is an organization attribute and indicates an organization relationship such as a cooperative relationship between the capability element and another capability element when executing a task. CD is a capacity attribute, represents each capacity index of a capacity element, and is represented by a triple CD =<CDA, CDQ, CDD>It is shown that CDA represents the area of responsibility, CDQ represents the decision quality, and CDD represents the average decision time.
The striking capability factor model (A) is the capability of completing the target striking task according to the battle plan or the command, and the three groups A =< SA, OA, CA>And (4) showing. SA is a spatial attribute, and represents the initial position of the capability element and the movement trace information during the execution of the task. O isAThe capability elements are organization attributes that indicate organization relationships such as collaboration relationships between the capability elements and other capability elements when executing tasks. CAIs a capability attribute, represents each capability index of a capability element, and uses a triple CA=<CAT, CAS, CAV>Is represented by CATIndicates the object type, CASDenotes the extent of attack, CAVIndicating the striking speed.
The guidance control capability element model (N) is the capability of guiding the killing equipment to hit the target according to the target information, and the triple N =is used< SN, ON, CN>Denotes SNThe spatial attribute is information indicating the initial position of the capability element and the movement locus during the execution of the task. O isNThe capability elements are organization attributes that indicate organization relationships such as collaboration relationships between the capability elements and other capability elements when executing tasks. CNIs a capability attribute, represents a capabilityEach capability index of the elements is represented by a triad CN=<CNT, CNV, CNQ>Is represented by CNTIndicates the type of boot, CNVIndicating the speed of solution, CNQIndicating the quality of the solution.
The basic support capacity element model (C) is the capacity capable of providing operation guarantee of a system such as calculation, storage, communication and the like, and the triad C =isused for the basic support capacity element model (C)< SC, OC, CC>And (4) showing. SCIs a spatial attribute and is a position representing a capability element. O isCThe capability element is an organization attribute indicating an organization relationship such as a cooperative relationship with other capability elements when providing a service. CCIs a capability attribute, represents each capability index of a capability element, and uses a triple CC=<CCV, CCC, CCB>Is represented by CCVIndicating the calculated speed, CCCDenotes the storage capacity, CCBRepresenting the communication bandwidth.
(3) Defining a 4-type incidence relation model among the capability elements, comprising: intelligence assurance and sharing (IR), command and control (C2R), state synchronization and Feedback (FR), and system assurance (SG); the 4-type incidence relation model specifically comprises the following steps:
the information security and sharing relation (IR) is represented by A quadruple IR = < O-P, O-N, P-D, N-A >, wherein O-P represents that information obtained by detecting the perception capability element is sent to the information processing capability element for processing, O-N represents that the information obtained by detecting the perception capability element is sent to the guide control capability element for use, P-D represents that the information of the information processing capability element is sent to the command decision capability element for use, and N-A represents that the guide control capability element sends the guide information to the striking capability element for use.
The command and control relation (C2R) is represented by a triad C2R = < D-N, D-O and D-D >, wherein D-N represents that a command decision-making element directly sends a control command or plan to a guide control capability element, D-O represents that a command decision-making capability element directly sends a related control command to a detection perception capability element, and D-D represents that a superior command decision-making capability element directly sends a command-related plan or command to an inferior command decision-making capability element.
The state synchronization and Feedback Relationship (FR) is represented by a hexahydric group FR = < N-D, D-N, O-D, D-D, N-N, O-O >, the N-D represents that a guidance control ability element directly feeds the state of the guidance control ability element back to a command decision ability element, the D-N represents that the command decision ability element sends information such as a threat target to the guidance control ability element, the O-D represents that an information acquisition ability element feeds self state information back to the command decision ability element, the D-D represents that the command decision ability element sends the state information to a command decision ability element with a cooperative relationship, the N-N represents that the guidance control ability element sends the state information to a guidance control ability element with a cooperative relationship, and the O-O represents that a detection perception ability element sends the state information to a detection perception ability element with a cooperative relationship.
The system guarantee relationship (SG) is represented by four-tuple SG = < C-N, C-P, C-O and C-D >, wherein C-N represents the support of basic support capacity elements on functions of guiding striking capacity element target solution and the like, C-P represents the support of basic support capacity elements on functions of information fusion and the like, C-O represents the support of basic support capacity elements on functions of detecting perception capacity element target information processing and the like, and C-D represents the support of basic support capacity elements on functions of commanding decision capacity element task planning and the like.
Step 2, designing a target-centered joint information processing and service mechanism
Based on battlefield space grid division, land, sea, air, sky, net and electricity multi-source information is gathered by taking a target as a center, and global target information service is provided for corresponding capacity elements through distributed processing and grid information splicing, and the method specifically comprises the following steps:
(1) dividing the geographic space into grids with uniform width according to the same longitude and latitude distance, numbering each grid, and distributing the information processing tasks of each grid to corresponding information processing capacity elements;
(2) according to the grid where the detection information is located, gathering the air information, the sea information, the land information, the network information, the electricity information and the day information into information processing capacity elements corresponding to the grid to perform information one-time processing to form local target information in the grid;
(3) and splicing the adjacent grid target information to form global target information, and providing information service for each command decision capability element and each guide control capability element according to requirements.
Step 3, designing an agile command-oriented decision flow on-demand definition mechanism
Establishing a combat command marshalling and the attributes thereof, defining the use permission of the command decision capacity elements to other capacity elements, selecting corresponding decision products and supporting the execution of command services, and specifically comprising the following steps:
(1) and aggregating the command and decision ability elements into a combat command marshalling, describing the composition, tasks and command cooperation relationship among the command marshalling, and using a quadruplet BT = < Name, Mission, Node and relationship >, wherein the Name is the marshalling Name, the Mission is the combat task, the Node is the command and decision ability element of the command marshalling, and the relationship is the command/cooperation relationship among the command and decision ability elements.
(2) And defining the use authority of the command decision capability element on detection perception, information processing, striking, guide control and basic support capability elements.
(3) As shown in fig. 3, in the basic classification of the command decision product system, the decision products corresponding to the command decision ability elements are queried and generated according to the command/cooperation relationship, and support corresponding command services, including joint operations planning, operations task allocation, joint operations command, operations flow control, operations effect evaluation, and the like.
Step 4, designing a cross-domain cooperation-oriented weapon roaming control mechanism
According to the space-time range of the striking capacity elements, the corresponding guide control capacity elements are subjected to dynamic preferential matching, and the universal roaming and beyond-the-horizon control of the weapon is realized through automatic cross-region switching, and the method specifically comprises the following steps:
(1) capability service registration and sharing
Performing service encapsulation and registration on the strike capability element and the guide control capability element to form a distributed shared capability service directory, wherein the description attributes comprise: capability type, capability index, available time period, capability dependency, authorized use range of the capability.
(2) Matching of strike capability elements with guidance control capability elements
Segmenting the striking capacity elements according to time or space, regarding the striking capacity elements of each time/space segment, taking the precision and the time delay requirement of guide control as constraints, preferably selecting the guide control capacity elements in the current time/space segment in a service directory, and generating a matching scheme of the striking capacity elements and the guide control capacity elements in real time.
(3) Automatic cross-zone switching of bootstrap control capability service
Through the trajectory trend prediction of the elements of the striking ability and the service quality evaluation of the guide control ability, the information is automatically synchronized in real time and the guide switching success is judged in the overlapped area of the guide control ability, the universal roaming relay control of the elements of the striking ability is realized, and the weapon is supported to strike the enemy target in a silent mode.
Step 5, designing task scene driven system structure and adaptation mechanism
According to the execution requirement of the combat mission, various ability elements are selected from a basic support layer, an information service layer, a decision support layer and a weapon control layer, the association relation among the various ability elements is established, dynamic optimization and adjustment are carried out according to the mission change, the completion of the combat mission is continuously guaranteed, a three-dimensional grid is formed, and the method comprises the following steps as shown in figure 2:
(1) capability element matching
The method is characterized in that the optimal target of shortest task completion time and maximum combat effectiveness is used for optimizing appropriate capacity elements for the combat task, wherein the capacity elements comprise detection perception, information processing, command decision, attack, guidance control and the like, and a matching scheme between the task and the capacity elements is generated.
(2) Design of association relation of capability elements
According to the operational business process, the relationships among different capacity elements are established, including an information security and sharing relationship (IR), a command and control relationship (C2R) and a state synchronization and Feedback Relationship (FR), and the work process of the capacity elements is generated.
(3) Foundation support resource allocation
And configuring and optimizing and scheduling basic supporting capacity elements for the capacity elements according to the workflow of the capacity elements. And optimally configuring basic support capacity factors such as calculation, storage, communication and the like of each business process according to the maximum service quality optimization target of the business process.
(4) Dynamic adjustment and optimization of system capacity
And (4) when the task is changed, re-executing the steps (1) - (3) to continuously ensure that the battle task is completed.
The following describes the present invention in further detail by using a three-dimensional grid variable architecture of a certain region C4KISR system as an embodiment:
step 1, defining capability elements and association relation based on heterogeneous resource classification and layering
(1) The C4KISR system of a certain area comprises 4 radar nodes, 2 information processing nodes, 2 command post nodes, 1 fighter node and a communication network for connecting the nodes. Dividing the nodes into 4 levels according to functions, wherein a basic supporting layer comprises 2 command post nodes, calculation, storage resources and data chains in 2 intelligence processing nodes and an optical fiber communication network; the information service layer comprises 4 radar nodes and 2 information processing nodes; the decision support layer comprises 2 command post nodes; the weapon management and control layer comprises 2 command post nodes and 1 fighter node.
(2) And (3) establishing a capability element model of the system nodes in each layer, wherein the mapping relation between the system nodes and the capability elements is shown in a table 1. The description will be given taking a model of the capability element O1 as an example: by triad O =< SO1, OO1, CO1>Is represented by the formula, wherein SO1The longitude and latitude of the radar 1 are the east longitude 110 degrees and the north latitude 30 degrees; o isO1 Indicating that O1 has a cooperative probing relationship with O2; cO1Capability attributes representing O1< COT1 ,COS1 ,COQ1>In which C isOT1The information acquisition type is radar detection, COS1The information acquisition range is 20 kilometers in radius COQ1The information acquisition quality is 100 meters of detection accuracy.
Table 1 system node-capability element mapping relationship.
(3) Relationships between various capability elements are defined, including intelligence assurance and sharing relationships (IR), command and control relationships (C2R), state synchronization and Feedback Relationships (FR), and system assurance relationships (SG). The description will be made by taking an information security and sharing relationship (IR) as an example: the information obtained by O1 and O2 is sent to P1 for processing, the information obtained by O3 and O4 is sent to P2 for processing, the information obtained by O1 and O2 is sent to A guidance control capability element N1, the information obtained by O3 and O4 is sent to A guidance control capability element N2, the information obtained by P1 is sent to A command decision capability element D1, the information obtained by P2 is sent to A command decision capability element D2, and the information obtained by N-A is sent to the guidance control capability elements N1 and N2 for sending the guidance information to A hit capability element A1.
Step 2, designing a target-centered joint information processing and service mechanism
(1) The area is divided into 8 grids according to the width of 10 kilometers, as shown in fig. 4, wherein information in grids 01-04 is processed by P1, and information in grids 05-08 is processed by P2.
(2) Relevant information of coverage grids 01-04 of radar detection ranges of O1, O2, O3 and O4 is sent to P1 to be processed, relevant information of coverage grids 05-08 is sent to P2 to be processed, and local target information of P1 and P2 is formed respectively, namely the local target information of the spatial ranges of grids 01-04 and grids 05-08.
(3) The local target information of P1 and P2 are spliced to form the global target information of the area, and information services are provided for D1, D2 and A1.
Step 3, designing an agile command-oriented decision flow on-demand definition mechanism
(1) D1 and D2 are aggregated into a combat command group, which is represented by a quadruplet BT = < Name, Session, Node, relationship >, wherein the Name is command group 1, the Session comprises air-to-ground striking command control, air-to-air early warning detection command control and the like, the Node is D1 and D2, the relationship between D1 and D2 is relationship between D1 and D2, and the team is commanded by the same superior command decision element.
(2) The using authority of D1 and D2 for detecting perception, information processing, striking, guiding control and basic supporting capacity elements is defined, and D1 is taken as an example for explanation: d1 may use the capacity elements O1, O2, P1, a1, N1, C1, S1, L, F.
(3) Decision products were selected for D1 and D2, illustrated with D1 as an example: d1 is mainly used for action scheme design, and decision products are selected to include a battle stage description, a battle area description, an action sequence, a deployment scheme, a guarantee scheme and an effectiveness test scheme, so that joint battle planning is supported.
Step 4, designing a cross-domain cooperation-oriented weapon roaming guidance control mechanism
(1) The service encapsulation and registration A1 and the N1 and N2 capability elements describe the attributes of the service encapsulation and registration A1 and the N1 attributes, take the N1 attribute as an example, the capability type is used as guide control, the capability index is normalized to 10, the capability dependency relationship is interdependent with the N2, and the authorized use range of the capability is the space of the grids 01-04 in the step 2.
(2) A1 is divided into two sections according to a grid 01-04 space and a grid 05-08 space, a guide control capacity element in the grid 01-04 space is selected to be N1, and a guide control capacity element in the grid 05-08 space is selected to be N2.
(3) And predicting that the track of the A1 moves from grids 01-04 to grids 05-08, and when the A1 passes through an overlapping area of N1 and N2, namely grids 02, 04, 05 and 07, carrying out information real-time automatic synchronization and guide switching success judgment on N1 and N2 so as to realize roaming relay control on A1.
Step 5, designing task scene driven system structure and adaptation mechanism
The C4KISR system in the area is used for commanding and controlling the fighter to strike a certain target on the ground as a task to explain:
(1) the method comprises the following steps of selecting capacity elements according to tasks, wherein the capacity elements comprise detection sensing capacity elements O3 and O4, an intelligence processing capacity element P2, a command decision capacity element D2, a striking capacity element A1, a guide control capacity element N2, and basic supporting capacity elements C2, C4, S2, S4 and L, F.
(2) The relationship between capability elements is established, and the information security and sharing relationship (IR) is taken as an example for explanation: and A quadruple IR = < O-P, O-N, P-D, N-A >, wherein O-P indicates that information obtained by O3 and O4 is sent to P2 for processing, O-N indicates that information obtained by O3 and O4 is sent to A guidance control capability element N2, P-D indicates that information of P2 is sent to A decision-making capability element D2, and N-A indicates that the guidance control capability element N2 sends guidance information to A striking capability element A1.
(3) Based on the relationship between the capability elements, basic supporting capability elements are configured for the corresponding capability elements, and the calculation capability elements are taken as an example for description: the command decision capability element D2 and intelligence processing capability element P2 are assigned computational capability elements C2 and C4.
(4) When the task is changed into the area C4KISR system for early warning detection of another target, the steps (1) - (3) are executed, and the completion of the battle task is continuously guaranteed.
As described above, although the embodiments of the present invention have been described in detail, it will be apparent to those skilled in the art that many modifications are possible without substantially departing from the spirit and scope of the present invention. Therefore, such modifications are also all included in the scope of protection of the present invention.
Claims (10)
1. A system capability generation-oriented three-dimensional grid variable architecture construction method is characterized by comprising the following steps:
step 1, defining a capability element and an association relation based on heterogeneous resource classification and layering;
step 2, designing a target-centered joint information processing and service mechanism;
step 3, designing an agile command-oriented decision flow on-demand definition mechanism;
step 4, designing a cross-domain cooperation oriented weapon roaming guide control mechanism;
and 5, designing a task scene driven system structure and an adaptation mechanism.
2. The architecture capability generation-oriented three-dimensional grid variable architecture construction method according to claim 1, characterized in that:
the step 1 comprises the following steps:
(1) dividing the C4KISR system node into basic resources, information resources, decision resources and action resources according to functions to form 4 levels of a basic supporting layer, an information service layer, a decision supporting layer and a weapon control layer, wherein the 4 levels are used as 4 planes of a variable architecture;
(2) defining a class 6 capability element model for a system node, comprising: the system comprises a detection perception capability element model, an information processing capability element model, a command decision capability element model, a striking capability element model, a guide control capability element model and a basic support capability element model;
(3) defining a 4-type incidence relation model among the capability elements, comprising: intelligence guarantee and sharing relation, command and control relation, state synchronization and feedback relation and system guarantee relation.
3. The architecture capability generation-oriented three-dimensional grid variable architecture construction method according to claim 1, characterized in that:
the step 2 comprises the following steps:
based on battlefield space grid division, land, sea, air, sky, net and electricity multi-source information is gathered by taking a target as a center, and global target information service is provided for corresponding capacity elements through distributed processing and grid information splicing, and the method specifically comprises the following steps:
(1) dividing the geographic space into grids with uniform width according to the same longitude and latitude distance, numbering each grid, and distributing the information processing tasks of each grid to corresponding information processing capacity elements;
(2) according to the grid where the detection information is located, gathering the air information, the sea information, the land information, the network information, the electricity information and the day information into information processing capacity elements corresponding to the grid to perform information one-time processing to form local target information in the grid;
(3) and splicing the adjacent grid target information to form global target information, and providing information service for each command decision capability element and each guide control capability element according to requirements.
4. The architecture capability generation-oriented three-dimensional grid variable architecture construction method according to claim 1, characterized in that:
the step 3 comprises the following steps:
establishing a combat command marshalling and the attributes thereof, defining the use permission of the command decision capacity elements to other capacity elements, selecting corresponding decision products and supporting the execution of command services, and specifically comprising the following steps:
(1) the command decision ability elements are aggregated into a combat command marshalling, the composition, tasks and command cooperation relationship among the command marshalling are described, and the four-tuple BT = < Name, Mission, Node and relationship > is used for representing, the Name is the marshalling Name, the Mission is the combat task, the Node is the command decision ability element of the command marshalling, and the relationship is the command/cooperation relationship among the command decision ability elements;
(2) defining the use authority of the command decision capability element on detection perception, information processing, striking, guide control and basic support capability elements;
(3) in the basic classification of a command decision product system, a decision product corresponding to each command decision capability element is inquired and generated according to a command/cooperation relation, and corresponding command services are supported, wherein the corresponding command services comprise joint operation planning, operation task allocation, joint operation command, operation flow control and operation effect evaluation.
5. The architecture capability generation-oriented three-dimensional grid variable architecture construction method according to claim 1, characterized in that:
the step 4 specifically comprises the following steps:
according to the space-time range of the striking capacity elements, the corresponding guide control capacity elements are subjected to dynamic preferential matching, and the universal roaming and beyond-the-horizon control of the weapon is realized through automatic cross-region switching, and the method specifically comprises the following steps:
(1) capability service registration and sharing;
(2) the hitting capacity element is matched with the guiding control capacity element;
(3) the bootstrap control capability service automatically switches across zones.
6. The architecture capability generation-oriented three-dimensional grid variable architecture construction method according to claim 1, characterized in that:
the step 5 specifically comprises the following steps:
according to the execution requirement of the combat mission, various ability elements are selected from a basic supporting layer, an information service layer, a decision supporting layer and a weapon control layer, the association relation among the various ability elements is established, dynamic optimization and adjustment are carried out according to the mission change, the completion of the combat mission is continuously guaranteed, and a three-dimensional grid framework is formed, and the method comprises the following steps:
(1) capability element matching
Optimizing appropriate capacity elements for the battle mission by using the optimization goals of shortest task completion time and maximum battle efficiency, wherein the optimization goals comprise detection perception, information processing, command decision, striking and guide control, and a matching scheme between the task and the capacity elements is generated;
(2) design of association relation of capability elements
Establishing relationships among different capacity elements according to the operational business process, wherein the relationships comprise information guarantee and sharing relationships, command and control relationships, state synchronization and feedback relationships, and generating a work process of the capacity elements;
(3) foundation support resource allocation
Configuring and optimizing a scheduling basic supporting capacity element according to the work flow of the capacity element; optimally configuring calculation, storage and communication basic support capacity elements of each business process according to the maximum service quality optimization target of the business process;
(4) dynamic adjustment and optimization of system capacity
And (4) when the task is changed, re-executing the steps (1) - (3) to continuously ensure that the battle task is completed.
7. The architecture capability generation-oriented three-dimensional grid variable architecture construction method according to claim 2, characterized in that:
the 4 levels included in step 1 are specifically:
the basic supporting layer comprises basic resources and provides operation guarantee capability aiming at professional information processing, target indication resolving and cooperative command combat application service characteristics; the basic resources comprise calculation, storage and network; the operation guarantee capability comprises centerless distributed parallel information processing and cross-domain end-to-end interconnected information transmission;
the information service layer comprises information processing resources, flexibly organizes, integrates elements, processes and analyzes various information sources facing to the combat mission, forms information products required by strategy, battle, tactics and battle, and provides combined combat information service capability according to needs;
the decision support layer comprises various command post resources at all levels and provides the capacities of joint operation planning, operation task allocation, joint operation commanding, operation flow control and operation effect evaluation;
the weapon control layer comprises various weapon platforms and guide control resources and provides fine granularity of hitting capacity, cross-domain combined application and global roaming control capacity.
8. The architecture capability generation-oriented three-dimensional grid variable architecture construction method according to claim 2, characterized in that:
the 6 types of capability element models included in the step 1 are specifically:
the detection perception capability element model represents the capability of detecting or reconnaissance various target characteristics in a battlefield space, and the triplet O =< SO, OO, CO>Represents; sOThe space attribute represents the position of the capacity element and the motion trail information in the process of executing the task; o isOThe system is an organization attribute and represents the cooperative relationship between the capacity element and other capacity elements when the task is executed; cOIs a capability attribute, represents a capability elementThe three element C is used as each ability index ofO=< COT ,COS ,COQ>Represents; cOTIndicates the information acquisition type, COSIndicating an information acquisition range, COQIndicating information acquisition quality;
the information processing capacity element model represents the capacity of carrying out comprehensive/fusion processing on the battlefield target information and uses a triple P =< SP, OP, CP>Represents; sPThe method comprises the following steps of (1) representing the initial position of a capacity element and motion trail information in a task execution process by using a spatial attribute; o isPThe system is an organization attribute and represents the cooperative relationship between the capacity element and other capacity elements when the task is executed; cPIs a capability attribute, represents each capability index of a capability element, and uses a triple CP =<CPT, CPP, CPD>，CPTIndicating the type of information processing, CPPRepresents the amount of information processed per unit time, CPDRepresents the average time required for intelligence processing;
the command decision capability element model is the capability of forming a combat scheme according to the battlefield situation and conducting commands on subordinate troops and weapon platforms, and the triad D =isused<SD, OD, CD>Represents; sDThe method comprises the following steps of (1) representing the initial position of a capacity element and motion trail information in a task execution process by using a spatial attribute; OD is an organization attribute and represents the cooperative relationship between the capacity element and other capacity elements when the task is executed; CD is a capacity attribute, represents each capacity index of a capacity element, and is represented by a triple CD =<CDA, CDQ, CDD>Indicating that CDA represents the responsibility area range, CDQ represents the decision quality, and CDD represents the average decision time;
the striking capability factor model is the capability of completing the target striking task according to the battle plan or the command, and the three groups A =< SA, OA, CA>Represents; SA is a spatial attribute and represents the initial position of the capacity element and the motion trail information in the process of executing the task; o isAThe system is an organization attribute and represents the cooperative relationship between the capacity element and other capacity elements when the task is executed; cAIs a capability attribute, representing each capability of a capability elementForce index, using triad CA=<CAT, CAS, CAV>Is represented by CATIndicates the object type, CASDenotes the extent of attack, CAVRepresents the striking speed;
the guide control capability element model is the capability of guiding the killing equipment to hit the target according to the target information, and the triple N =isused< SN, ON, CN>Denotes SNThe spatial attribute is used for representing the initial position of the capacity element and the motion trail information in the process of executing the task; o isNThe system is an organization attribute and represents the cooperative relationship between the capacity element and other capacity elements when the task is executed; cNIs a capability attribute, represents each capability index of a capability element, and uses a triple CN=<CNT, CNV, CNQ>Is represented by CNTIndicates the type of boot, CNVIndicating the speed of solution, CNQRepresenting the resolving quality;
the basic supporting capacity element model is the capacity capable of providing system operation guarantee, and the triad C =< SC, OC, CC>Represents; sCIs a spatial attribute, is a position representing a capability element; o isCIs an organization attribute, which represents the collaborative relationship between the capability element and other capability elements when providing services; cCIs a capability attribute, represents each capability index of a capability element, and uses a triple CC=<CCV, CCC, CCB>Is represented by CCVIndicating the calculated speed, CCCDenotes the storage capacity, CCBRepresenting the communication bandwidth.
9. The architecture capability generation-oriented three-dimensional grid variable architecture construction method according to claim 2, characterized in that:
the 4-type incidence relation model included in the step 1 specifically includes:
the information security and sharing relation is represented by A quadruple IR = < O-P, O-N, P-D, N-A >, the O-P represents that information obtained by detecting the perception capability element is sent to the information processing capability element for processing, the O-N represents that the information obtained by detecting the perception capability element is sent to the guide control capability element for use, the P-D represents that the information of the information processing capability element is sent to the command decision capability element for use, and the N-A represents that the guide control capability element sends the guide information to the striking capability element for use;
the command and control relation is represented by a triple C2R = < D-N, D-O and D-D >, wherein D-N represents that a command decision-making element directly sends a control command or a plan to a guide control capacity element, D-O represents that a command decision-making capacity element directly sends a related control command to a detection perception capacity element, and D-D represents that a superior command decision-making capacity element directly sends a command-related plan or command to an inferior command decision-making capacity element;
the state synchronization and feedback relationship is expressed by a hexahydric group FR = < N-D, D-N, O-D, D-D, N-N, O-O >, N-D expresses that a guide control ability element directly feeds the state back to a command decision ability element, D-N expresses that the command decision ability element sends threat target information to the guide control ability element, O-D expresses that an information acquisition ability element feeds back self state information to the command decision ability element, D-D expresses that the command decision ability element sends the state information to the command decision ability element with a cooperative relationship, N-N expresses that the guide control ability element sends the state information to the guide control ability element with the cooperative relationship, and O-O expresses that a detection perception ability element sends the state information to a detection perception ability element with the cooperative relationship;
the system guarantee relationship is represented by a quadruple SG = < C-N, C-P, C-O and C-D >, C-N represents the support of a basic support capacity element on a target resolving function of a guide striking capacity element, C-P represents the support of the basic support capacity element on an information fusion function of an information processing capacity element, C-O represents the support of the basic support capacity element on a target information processing function of a detection perception capacity element, and C-D represents the support of the basic support capacity element on a command decision capacity element task planning function.
10. The architecture capability generation-oriented three-dimensional grid variable architecture construction method according to claim 5, wherein:
in the step 4, the process of the method,
the capability service registration and sharing specifically include:
performing service encapsulation and registration on the strike capability element and the guide control capability element to form a distributed shared capability service directory, wherein the description attributes comprise: capability type, capability index, available time period, capability dependency relationship, and authorized use range of capability;
the matching of the striking capability element and the guiding control capability element specifically comprises the following steps:
segmenting the striking capacity elements according to time or space, regarding the striking capacity elements of each time/space segment, taking the precision and the time delay requirement of guide control as constraints, preferably selecting the guide control capacity elements in the current time/space segment in a service directory, and generating a matching scheme of the striking capacity elements and the guide control capacity elements in real time;
the automatic cross-region switching of the guidance control capability service specifically comprises the following steps:
through the trajectory trend prediction of the elements of the striking ability and the service quality evaluation of the guide control ability, the information is automatically synchronized in real time and the guide switching success is judged in the overlapped area of the guide control ability, the universal roaming relay control of the elements of the striking ability is realized, and the weapon is supported to strike the enemy target in a silent mode.
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