CN109871474B - Network dynamic information flow generating method based on motif - Google Patents
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Abstract
The invention discloses a method for generating a network dynamic information flow based on a motif, which comprises the following steps: modeling of points and sides in an information network, information transmission model body combing of the information network, model body relation matrix construction of the information network, relevant data extraction and information network generation. The method is characterized in that basic information transmission die bodies of the information network are combed on the basis of the static topology of the existing information network, and a corresponding die body relation matrix is constructed by extracting data such as related information guarantee relation and the like; finally, on the basis of sensing detection and other events generated by simulation, corresponding information sensing and network dynamic information flow processing is generated through related events and data and a bidirectional search algorithm established by the method.
Description
Technical Field
The invention belongs to the field of network information, and particularly relates to a method for generating a network dynamic information flow based on a die body.
Background
The network is composed ofNode pointAndconnecting wireComposition, representing objects and their interrelationships. Mathematically, a network is a graph, generally known as a fingerWeighted graph. Networks have a specific physical meaning in addition to a mathematical definition, i.e. the network is subject to some kind of same kind of practical problemAbstractionAnd (4) forming a model. In the field of computers, the network isInformation transmission、Receiving、SharingThe virtual platform can link the information of each point, surface and body together, thereby realizing the sharing of the resources. The network is the most important invention in the human development history, and the development of science and technology and human society is improved.
The existing method for processing the information sensed by the sensor is not accurate enough, and therefore, a method for generating a network dynamic information flow based on a motif is provided.
Disclosure of Invention
The invention aims to provide a method for generating a network dynamic information flow based on a motif, so as to solve the problem that the existing method for processing information sensed by a sensor, which is provided in the background art, is not accurate enough.
In order to achieve the purpose, the invention adopts the following technical scheme: a network dynamic information flow generating method based on a motif includes the following steps:
s1, modeling points and edges in the information intelligence network: suppose that an information intelligence network can be represented by G (V, E), where V ═ V 1 ,v 2 ,L v n The nodes are a sensing node, a decision node, an intelligence node, a communication node and an action node; the five types of nodes jointly form an information network node set V which is { S, C, D, I, A }; an edge set in a network may be denoted as E ═ E 1 ,e 2 ,L e m An edge exists between two points to indicate that a reachable link exists between nodes; meanwhile, each edge in the static network is assigned with a weight value to represent the time delay of information transmission between the edge and the corresponding two nodes, and ω is { ω ═ is used 1 ,ω 2 ,Lω m Represents that the weight value is used in the following information transmission path algorithm;
s2, information network information transmission motif combing: the first step is as follows: after the sensing node detects the target, target information is generated; the second step: the sensing node takes the target information as primary information and directly sends the primary information to the decision node and the action node through a communication network consisting of communication nodes; the third step: sensing node simultaneously sending target messageThe information is sent to an information node, and the comprehensive information is fused; the fourth step: the information node sends the processed information as secondary information to the needed decision node and action node; according to the analysis of the information service, the information transmitted in the network is mainly divided into 'primary information' and 'secondary information'; the method is divided into five motifs, and the five motifs form an information transmission motif set in the dynamic information flow of the information network
On the basis of the motifs, a dynamic network can be generated in a simulation environment by constructing an intelligence customization relationship, a stimulation event and a specific information transmission generation algorithm;
s3, constructing an information network model relation matrix: one, primary intelligence application matrix, based on three types of different nodes, one is that sensing node sends information to decision node, which is similar to former motif
Correspondingly, the method specifically comprises the following steps:
the second type is that the sensing node sends information to the action node, which is similar to the former motif
Correspondingly, the method specifically comprises the following steps:
the third type is that the sensing node sends information to the intelligence node, which is similar to the former motif
Correspondingly, the method specifically comprises the following steps:
and secondly, the 'secondary information' application matrix refers to that information nodes send fused information to decision and action nodes after information processing. The method can also be divided into two types, one type is that the information node sends information to the decision node, which is similar to the former motif
Correspondingly, the method specifically comprises the following steps:
another type is that the intelligence node sends information to the mobile node. This is in contrast to the previously described mould bodies
Correspondingly, the method specifically comprises the following steps:
s4, relevant data extraction and information network generation: first step, basic data and experiment preparation: the data of the virtual information network is basically consistent with that of a static reduction experiment, wherein sensing nodes are various detection radars, and the total number of the sensing nodes is not less than three; the communication nodes are communication vehicles or communication terminals of various types, and the total number of the communication nodes is not less than three; the information nodes are information fusion centers, and the total number is not less than two; the decision nodes are abstract control units at all levels, and the total number of the decision nodes is not less than three; the action nodes are various processing units, and the total number of the action nodes is not less than two; second step, target cruise setting: the method mainly aims to show the running condition of dynamic information flow of the information network through different target routes, namely the possible information transmission condition from a single target to multiple targets and from a direct traversing information network to a bypassing information network; thirdly, extracting the customized relation between radar detection events and intelligence: setting an information guarantee range of the radar, and transmitting information once in the range; meanwhile, the range of the information center is set, the radar in the range of the information center reports the information to the radar, and otherwise, the radar does not report the information; finally, setting the application range of the secondary information, setting by using the target, and issuing the fused secondary information by the information center at the nodes such as the control unit, the processing unit and the like in a certain range of the target, wherein the nodes outside the range do not issue the fused secondary information; in this way, a dynamic intelligence customization relationship is actually established; after the motif relation matrix is dynamically constructed through the certain relation, the corresponding information flow in the information network can be generated.
Preferably, the sensing node, the decision node, the intelligence node, the communication node and the action node in S1 may be respectively represented as follows: sensing nodes:
wherein m is S The number of sensing nodes; a communication node:
wherein m is C The number of communication nodes; a decision node:
wherein m is D The number of decision nodes; an information node:
wherein m is I The number of the information nodes is; the action node:
wherein m is A Is the number of mobile nodes.
Preferably, the five motifs in S2 are: a,
Wherein C ═ 1 indicates primary information; n is s The starting node for sending the information is a sensing node (S); n is e D means that the target node for transmitting information is a decision node (D); II,
N here e A indicates that the target node for information transmission in the motif is the mobile node (a); III, III
N here e The information sending target node in the motif is an information node (I); fourthly, the,
Wherein, C2 is the secondary information, which is the information after fusion processing by the information center; n is a radical of an alkyl radical s The information sending starting node is an information node (I); n is e D indicates that the target node for information transmission is a decision node (D); v, B,
N here e A indicates that the target node for information transmission in this motif is the mobile node (a).
Preferably, the "primary intelligence" in S2 is directly sent to the corresponding information application node after the information is obtained by the information collection node.
Preferably, the "secondary information" in S2 is obtained by the information collecting node and then sent to the information processing node, and the information processing node performs fusion processing and then sends to the corresponding information application node.
The invention has the technical effects and advantages that: compared with the prior art, the network dynamic information flow generation method based on the die body has the following advantages that: the method is based on the static topology of the existing information network, combs basic information transmission die bodies of the information network, and constructs a corresponding die body relation matrix by extracting data such as related information guarantee relation and the like; finally, on the basis of sensing detection and other events generated by simulation, corresponding information sensing and network dynamic information flow processing is generated through related events and data and a bidirectional search algorithm established by the method.
Drawings
Fig. 1 is a schematic structural diagram of an information network model body according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. The specific embodiments described herein are merely illustrative of the invention and do not delimit the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Examples
1. Modeling of points and edges in an information intelligence network
Suppose that an information intelligence network can be represented by G (V, E), where V ═ V 1 ,v 2 ,L v n The nodes are respectively sensing nodes, decision nodes, intelligence nodes, communication nodes and action nodes. The five types of nodes together form an information network node set V ═ S, C, D, I, a }, which can be respectively expressed as follows:
sensing nodes:
wherein m is S Is the sensing node number.
A communication node:
wherein m is C Is the number of communication nodes.
A decision node:
wherein m is D Is the number of decision nodes.
An information node:
wherein m is I The number of the intelligence nodes.
The action node:
wherein m is A Is the number of mobile nodes.
In addition, E ═ E 1 ,e 2 ,L e m And the points are edge sets in the network, and the edge between the two points indicates that an accessible link exists between the nodes. Meanwhile, each edge in the static network is assigned with a weight value to represent the time delay of information transmission between the edge and the corresponding two nodes, and ω is { ω ═ ω { (ω) } ω { (ω } represents the time delay of information transmission between the edge and the corresponding two nodes 1 ,ω 2 ,Lω m Denotes that this weight is used in the following intelligence delivery path algorithm.
2. Information network information transmission die body carding
The static information network is constructed based on a bottom layer communication basic network, a trunk line generally opens up a special physical channel in the communication basic optical fiber network, and the forms from the trunk line to a terminal are different, some are optical fibers, and some are giga or hundred mega twisted-pair wires. The nodes in the information network specifically comprise five types, namely a sensing node (S) for acquiring information, a communication node (C) for transmitting information, an information node (I) for processing information, a decision node (D) for applying information and an action node (A) according to different functions. Information transmission in the dynamic information network is also developed in the five types of nodes. A complete informative information application flow can be represented by the following steps:
s1, after a sensor (equivalent to a sensing node (S)) such as a radar detects a target, target information is generated.
And S2, the sensing node (S) directly sends the target information as primary information to a related control unit (equivalent to a decision node (D)) and a processing unit (equivalent to an action node (A)) through a communication network consisting of communication nodes (C).
And S3, simultaneously sending the target information to an information processing center (equivalent to an information node (I)) by sensing nodes (S) such as radars and the like, and integrating the multi-party information by the sensing nodes.
And S4, the information node (I) sends the processed information as secondary information to a required control unit and a required processing unit.
Therefore, according to the analysis of the above information service, the information transmitted in the network is mainly divided into two categories, i.e., "primary information" and "secondary information". Wherein, the primary information is directly sent to the corresponding information application node after the information acquisition node acquires the information; the information acquisition node acquires information and then sends the information to the information processing node, and the information processing node performs fusion processing and then sends the information to the corresponding information application node. In particular, five motifs can be provided, which can be expressed as follows:
in the first place, the first,
wherein C ═ 1 indicates primary information; n is s The starting node for sending the information is a sensing node (S); n is e D indicates that the target node for information transmission is the decision node (D).
The second step,
N in this case e A indicates that the target node for information transmission in this motif is the mobile node (a).
Thirdly,
N in this case e The information transmission target node in the motif is the information node (I).
Fourthly,
Wherein, C2 is the secondary information, which is the information after fusion processing by the information center; n is a radical of an alkyl radical s The information sending starting node is an information node (I); n is a radical of an alkyl radical e D indicates that the target node for information transmission is the decision node (D).
Fifth, a,
N here e A indicates that the target node for information transmission in this motif is the mobile node (a).
The above five motifs form the set of information transfer motifs in dynamic information flow of information networkOn the basis of the motifs, a dynamic network can be generated in a simulation environment by constructing an intelligence customization relationship, a stimulation event and a specific information transmission generation algorithm.
3. Information network model relation matrix construction
(1) The 'primary information' application matrix is divided into three types according to different nodes, wherein one type is that a sensing node sends information to a decision node, and the information is similar to the former die body
Correspondingly, the method specifically comprises the following steps:
the second type is that the sensing node sends information to the action node, which is similar to the former motif
The corresponding is as followsThe following steps:
the third type is that the sensing node sends information to the intelligence node, which is similar to the former motif
Correspondingly, the method specifically comprises the following steps:
(2) the 'secondary information' application matrix refers to that information nodes send fused information to decision and action nodes after information processing. The method can also be divided into two types, one type is that the information node sends information to the decision node, which is similar to the former motif
Correspondingly, the method specifically comprises the following steps:
another type is that the intelligence node sends information to the mobile node. This is in contrast to the previously described mould bodies
Correspondingly, the method specifically comprises the following steps:
the above intelligence customization relationships are different from the motifs in that motifs classify information delivery modes in terms of categories, and intelligence customization relationships are specific descriptions of specific intelligence delivery in a certain type of network, and may be considered as instantiations of motifs specific to a specific information delivery.
4. Related data extraction and information intelligence network generation
In order to verify the algorithm, the cruise actions of single or multiple targets are set on the basis of a virtual information network constructed by using a simulation technology, and simulation is carried out. Data such as radar detection events, information security relations and the like are extracted, and corresponding information network dynamic information flow is generated through the events, the data and a bidirectional search algorithm provided by the method.
(1) Basic data and Experimental preparation
Information network data: the data of the virtual information network is basically consistent with that of a static reduction experiment, wherein sensing nodes are various detection radars, and the total number of the sensing nodes is 113; the communication nodes are communication vehicles or communication terminals of various types, and the total number of the communication nodes is 202; the information nodes are information fusion centers, and the total number is 2; the decision nodes are abstract control units at all levels, and the total number of the decision nodes is 212; the mobile nodes are all processing units, and the total number is 86.
(2) Target cruise setting: in order to fully verify the effectiveness of the algorithm, three types of cruise events are set in the experiment. The method is mainly used for showing the running condition of dynamic information flow of the information network through different target routes, namely the possible information transmission condition.
(3) Extracting a customized relation between radar detection events and intelligence: the radar detection event based on time series is the starting point of all primary information flow in the subsequent information network, which determines which radars send primary information at each time point, and the specific control, action and information nodes to which each radar sends information, and how the information nodes send secondary information are all determined by information customization relation.
The experiment adopts a principle of being nearby, namely, the information guarantee range of the radar is set, and information is transmitted once in the range; meanwhile, the range of the information center is set, the radar in the range of the information center reports the information to the radar, and otherwise, the radar does not report the information; and finally, setting the application range of the secondary information, setting by using the target, and issuing the fused secondary information by the information center at the nodes such as the control unit, the processing unit and the like in a certain range of the target, wherein the nodes outside the range do not issue the fused secondary information. In this way, a dynamic intelligence customization relationship is actually established. After the motif relation matrix is dynamically constructed through the certain relation, the corresponding information flow in the information network can be generated.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still make modifications to the technical solutions described in the foregoing embodiments, or make equivalent substitutions and improvements to part of the technical features of the foregoing embodiments, and any modifications, equivalent substitutions and improvements made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (5)
1. A network dynamic information flow generating method based on a motif is characterized in that: the method comprises the following steps:
s1, modeling of points and edges in the information intelligence network: suppose that an information intelligence network can be represented by G (V, E), where V ═ V 1 ,v 2 ,L v n The nodes are a sensing node, a decision node, an intelligence node, a communication node and an action node respectively; the five types of nodes jointly form an information network node set V which is { S, C, D, I, A }; an edge set in a network may be denoted as E ═ E 1 ,e 2 ,L e m An edge exists between two points to indicate that a reachable link exists between nodes; meanwhile, each edge in the static network is assigned with a weight value to represent the time delay of information transmission between the edge and the corresponding two nodes, and ω is { ω ═ ω { (ω) } ω { (ω } represents the time delay of information transmission between the edge and the corresponding two nodes 1 ,ω 2 ,Lω m Represents that the weight value is used in the subsequent intelligence transfer path algorithm;
s2, information network information transmissionAnd (3) carding the die body: the first step is as follows: after the sensing node detects the target, target information is generated; the second step is that: the sensing node takes the target information as primary information and directly sends the primary information to the decision node and the action node through a communication network consisting of communication nodes; the third step: the perception node simultaneously sends the target information to the information node, and the comprehensive information is fused reasonably; the fourth step: the information node sends the processed information as secondary information to the needed decision node and action node; according to the analysis of the information service, the information transmitted in the network is mainly divided into 'primary information' and 'secondary information'; the method is divided into five motifs, and the five motifs form an information transmission motif set in the dynamic information flow of the information network
On the basis of the motifs, a dynamic network can be generated in a simulation environment by constructing an intelligence customization relationship, a stimulation event and a specific information transmission generation algorithm;
s3, constructing an information network model relation matrix: one, primary intelligence application matrix, based on three types of different nodes, one is that sensing node sends information to decision node, which is similar to former motif
Correspondingly, the method specifically comprises the following steps:
the second type is that the sensing node sends information to the action node, which is similar to the former motif
Correspondingly, the method specifically comprises the following steps:
the third type is that the sensing node sends information to the intelligence node, which is similar to the former motif
Correspondingly, the method specifically comprises the following steps:
two, 'secondary information' application matrix, which means that information nodes send fused information to decision and action nodes after information processing, can also be divided into two categories, one is that the information nodes send information to the decision nodes, which is similar to the former die body
Correspondingly, the method specifically comprises the following steps:
another type is that the intelligence node sends information to the mobile node, which is in conjunction with the previous motifs
Correspondingly, the method specifically comprises the following steps:
s4, relevant data extraction and information network generation: first step, basic data and experiment preparation: the data of the virtual information network is basically consistent with that of a static reduction experiment, wherein sensing nodes are various detection radars, and the total number is not less than three; the communication nodes are communication vehicles or communication terminals of various types, and the total number of the communication nodes is not less than three; the information nodes are information fusion centers, and the total number is not less than two; the decision nodes are abstract control units at all levels, and the total number of the decision nodes is not less than three; the action nodes are various processing units, and the total number of the action nodes is not less than two; second step, target cruise setting: the method is mainly used for showing the running condition of the dynamic information flow of the information network through different target routes, namely the possible information transmission condition; thirdly, extracting the customized relation between radar detection events and intelligence: setting an information guarantee range of the radar, and sending information once in the range; meanwhile, the range of the information center is set, the radar in the range of the information center reports the information to the radar, and otherwise, the radar does not report the information; finally, setting the application range of the secondary information, setting by using the target, and issuing the fused secondary information by the information center at the nodes such as the control unit, the processing unit and the like in a certain range of the target, wherein the nodes outside the range do not issue the fused secondary information; in this way, a dynamic intelligence customization relationship is actually established; after the motif relation matrix is dynamically constructed through the certain relation, the corresponding information flow in the information network can be generated.
2. The method according to claim 1, wherein the method for generating the network dynamic information flow based on the motifs is characterized in that: the sensing node, the decision node, the intelligence node, the communication node and the action node in S1 can be represented as follows: sensing nodes:
wherein m is S The number of sensing nodes; a communication node:
wherein m is C The number of communication nodes; a decision node:
wherein m is D The number of decision nodes; an information node:
wherein m is I The number of the information nodes is; the action node:
wherein m is A Is the number of mobile nodes.
3. The method according to claim 1, wherein the method for generating network dynamic information flow based on motifs is characterized in that: in S2, the five motifs are: a,
Wherein C ═ 1 indicates primary information; n is s Start node for transmitting S-account informationThe point is a sensing node (S); n is e D indicates that the target node for information transmission is a decision node (D); II,
N here e A indicates that a target node for information transmission in the motif is a mobile node (a); III, III
N in this case e The information sending target node in the motif is an information node (I); fourthly, the,
Wherein, C2 is the secondary information, which is the information after fusion processing by the information center; n is s The information sending starting node is an information node (I); n is e D indicates that the target node for information transmission is a decision node (D); v, V,
N here e A indicates that the target node for information transmission in this motif is the mobile node (a).
4. The method according to claim 1, wherein the method for generating network dynamic information flow based on motifs is characterized in that: the "primary intelligence" in S2 is sent to the corresponding information application node after the information is directly obtained by the information collection node.
5. The method according to claim 1, wherein the method for generating the network dynamic information flow based on the motifs is characterized in that: in S2, the "secondary information" is obtained by the information collection node and then sent to the information processing node, and the information processing node performs fusion processing and then sends to the corresponding information application node.
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