Automatic collecting and monitoring system and method of flight service support node
An automatic collection and collection system technology, applied in traffic control systems, aircraft traffic control, instruments, etc., can solve the problems of difficulty in ensuring data accuracy and timeliness, and the randomness of manual reporting, so as to achieve real-time and reliable information collection, reduce Effects of human error and improved operational stability
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Embodiment 1
[0045] like figure 1 As shown, an automatic collection and monitoring system for flight ground service support nodes includes a flight ground service monitoring and collection system, a convolutional neural network division system, a ground service status judgment system, a storage module, and a flight ground service time progress display module. The monitoring and acquisition system, the convolutional neural network division system, the ground service state judgment system, and the storage module are connected in sequence, the flight ground service monitoring and collection system is connected to the storage module, and the flight ground service time progress display module is connected to the ground service state judgment system; The service monitoring and acquisition system is used to monitor and collect the electronic data of the aircraft ground service area and store it in the storage module. The electronic data is image or / and video data, and the convolutional neural netw...
Embodiment 2
[0063] In this embodiment, the automatic collection and monitoring method of the flight ground service support node includes the following steps:
[0064] Step S10: if image 3 As shown, the convolutional neural network framework is established. Specifically, the establishment of the entire convolutional neural network framework in this embodiment is implemented using C++.
[0065] like Figure 4 As shown, step S10 includes the following steps:
[0066] Step S101: Collect historical monitoring video data of more than 100 flight guarantee processes. In order to ensure the adaptability of the network to night, rain, snow, fog or haze, and dusty weather, part of the collected video data should be in the above-mentioned weather The number of flights collected at night, rainy day, snowy day, foggy day or smog day accounted for at least 10% of all flights.
[0067] Step S102: For the historical surveillance video of each flight, perform the following processing: extract a frame of ...
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