A system and method for automatic collection and monitoring of flight ground service support nodes
A technology of automatic collection and collection system, applied in traffic control systems, aircraft traffic control, instruments, etc., can solve the problems of randomness of manual filling, data accuracy and timeliness is difficult to guarantee, etc., to achieve real-time reliable information collection, reduce Human error, the effect of reducing labor costs
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Embodiment 1
[0045] Such as 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 n...
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] Such as 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 ...
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