A method and system for constructing flight guarantee petri net based on Bayesian structure learning
A construction method and Bayesian technology, applied in the field of civil aviation, can solve problems such as the inability to accurately describe the flight guarantee process, and achieve an accurate reflection effect
Active Publication Date: 2022-03-08
THE SECOND RES INST OF CIVIL AVIATION ADMINISTRATION OF CHINA
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The above guarantee process is a plan execution process obtained according to the sequence of business links. In the actual guarantee process, due to limited airport support resources during peak hours, the execution order of various business links of flight guarantee services will change, resulting in incorrect flight plan guarantee processes. The description of the actual flight support process
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Embodiment 2
[0149] This embodiment provides a flight guarantee Petri net construction system based on Bayesian structure learning, which is applicable to the flight guarantee Petri net construction method based on Bayesian structure learning described in Embodiment 1, such as Figure 6 As shown, it includes but not limited to the following units: planning network unit, data processing unit and computing network unit.
[0150] The planning network unit is used to describe the flight support planning process according to the non-self-loop Petri net of the Bayesian network, and obtain the key point Petri net of the flight support planning process and the prior node sequence ρ;
[0151] The data processing unit is used to perform data processing on the historical flight data to obtain the historical data set D in matrix form;
[0152] Calculation network unit is used to calculate the K2 algorithm through Bayesian structure learning based on the prior node order ρ, historical data set D and th...
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The invention belongs to the technical field of civil aviation, and specifically relates to a method and system for constructing a flight guarantee Petri net based on Bayesian structure learning, comprising the following steps: describing the flight guarantee planning process according to the Petri net without self-loop of the Bayesian network, and Obtain the Petri net and prior node order ρ of the key points of the flight support plan process; process the flight historical data to obtain the historical data set D in matrix form; based on the prior node order ρ, the historical data set D and the set maximum parent node number Through the Bayesian structure learning K2 algorithm calculation, the flight guarantee key point Petri net that can better reflect the real flight process is obtained. Compared with the Petri net of the key points of the flight guarantee plan process, the present invention combines the prior node order, historical data and the maximum number of nodes, and the Petri net of the key points of the flight guarantee constructed by the K2 algorithm, the predicted result is more accurate, and can more accurately reflect The real process of flight guarantee key nodes.
Description
technical field [0001] The invention belongs to the technical field of civil aviation, and in particular relates to a method and system for constructing flight guarantee Petri nets based on Bayesian structure learning. Background technique [0002] In recent years, the civil aviation transportation industry has developed rapidly. As of 2017, there have been 32 airports with a passenger throughput of tens of millions. Taking the punctuality rate data of global airports in February as an example, the airport with the highest punctuality rate in China is Dalian International Airport. Compared with the punctual clearance rate of 95.13% at Japan's Itami Airport, there is a big gap. One of the main reasons for the low on-time release rate is the low efficiency of ground service support. At present, the Civil Aviation Administration of China is vigorously promoting the construction of the airport collaborative decision-making support system A-CDM, which is expected to solve this p...
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IPC IPC(8): G06Q10/04G06Q50/30G06F30/22G06F30/27
CPCG06Q10/04G06F30/22G06Q50/40
Inventor 罗谦陈哲夏欢丛婉党婉丽杜雨弦刘洋陈肇欣刘畅
Owner THE SECOND RES INST OF CIVIL AVIATION ADMINISTRATION OF CHINA