Intent Analysis Method Based on Dynamic Bayesian Network

A technology of dynamic Bayesian and analytical methods, applied in the direction of instrumentation, design optimization/simulation, calculation, etc., can solve problems such as difficult to meet actual application requirements and increase in calculation amount, achieve small calculation amount and storage space, and meet application requirements Effect

Active Publication Date: 2020-03-17
NO 54 INST OF CHINA ELECTRONICS SCI & TECH GRP
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Problems solved by technology

The defects of the existing methods mainly include: a) some methods only consider the static relationship between each factor and the event of interest, and fail to reflect the continuous change characteristics in time; Usually, tasks are performed in the form of formation group targets; c) The amount of calculation consumed by traditional dynamic Bayesian network for accurate inference increases rapidly with time, which is difficult to meet the needs of practical applications

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  • Intent Analysis Method Based on Dynamic Bayesian Network
  • Intent Analysis Method Based on Dynamic Bayesian Network
  • Intent Analysis Method Based on Dynamic Bayesian Network

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Embodiment Construction

[0063] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.

[0064] refer to figure 1 , the intent analysis method based on dynamic Bayesian network of the present invention, specifically comprises the following steps:

[0065] Step 1. Initially set to training mode;

[0066] Step 2. Data collection and arrangement.

[0067] 2.1) Initialize the performance parameters, including: the upper limit of the speed of the blue team target v sup ;

[0068] 2.2) Let the initial time k=1, and read in the observation data at time k, including: the intention of the red party R k , the value is "retreat", "defense" or "attack", and the degree of firefighting is F k , the value is "low", "medium" or "high", and the number of blue targets m k , the number of targets on the red side n k , the quantitative data of the blue team's target strength e j Indicates the quantitative value of the jth target strength of...

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Abstract

The invention discloses an intention analysis method based on a dynamic Bayesian network, and relates to the technical field of situation estimation. The implementation steps of this method are: 1. Collecting and sorting data, extracting situation elements; 2. Synthesizing multiple situation elements, establishing a dynamic Bayesian network topology; 3. Learning and setting network parameters; 4. Realizing fast approximation according to Markov property Bayesian reasoning; 5. Integrate the posterior probabilities of various intentions into the blue party's intention at the current moment; 6. Output the analysis results of the intention. The invention can synthesize multiple situation elements, perform reasonable and intelligent reasoning and analysis, realize the dynamic estimation of the target intention of the blue square group, and can be used in situation estimation and command and control systems.

Description

technical field [0001] The invention belongs to the technical field of situation estimation, and in particular relates to an intention analysis method based on a dynamic Bayesian network, which can be used in situation estimation and command and control systems. Background technique [0002] Today's regional conflicts are characterized by diverse objects and complex environments. Faced with a sharp increase in the amount of observation data, if manual processing is still relied on, the timeliness and consistency are difficult to meet actual needs. Therefore, it is necessary to use the advantages of computer storage and computing to deal with a large number of recurring regular situations, so as to reduce the workload of the commander and enable him to grasp the real-time dynamics more quickly and effectively. Among them, intent analysis is a higher-level situation estimation technology, which can predict the action intention of the blue team through reasoning based on the ex...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/20G06K9/62
CPCG06F30/20G06F18/24155G06F18/214
Inventor 樊振华师本慧陈金勇段同乐齐小谦
Owner NO 54 INST OF CHINA ELECTRONICS SCI & TECH GRP
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