Perkiraan Kebutuhan Energi dalam Operasional Under Ground Terminal untuk Smart Eco Airport

WARTA ARDHIA ◽  
2021 ◽  
Vol 46 (2) ◽  
pp. 122-132
Author(s):  
Martolis tolis Jasani ◽  
Nanang Ruhyat ◽  
Mohammad Ihsan
Keyword(s):  
Remote Area ◽  
Handling System ◽  
Baggage Handling

Penanganan penumpang di bandar udara selain dilakukan di terminal penumpang juga dilakukan pada sisi udara, terutama pada remote area dimana proses penanganan penumpang terdapat unnecessary movement yang berisiko terjadinya insiden seperti kebakaran bus atau tabrakan bus, ketidak-efisienan penggunaan waktu dan biaya operasional, kesalahan penjemputan dan ketidak tepatan pelayanan. Seiring dengan kemajuan teknologi infrastruktur kebandarudaraan dimungkinkan untuk pengembangan under ground terminal berupa terminal dan akses bawah tanah dari terminal ke pesawat atau sebaliknya. Pengembangan teknologi mekanikal memerlukan konsumsi energi sebagai penunjang peralatan mekanikal tersebut berupa escalator atau travelator yang melalui trowongan. Akses bawah tanah ini juga dapat dimanfaatkan untuk smart baggage handling system, peralatan lain yang memerlukan energi yang terbesar adalah sistem pendingin. Total kebutuhan daya untuk sistem pendingin pada Terminal 3 saja saat ini adalah 12511.4 kW atau sekitar 12.5 MW. Dengan melakukan pendekatan kedalaman tanah yang berfungsi sebagai media pendingin dengan luasan terminal yang dianggap sama maka hasil simulasi perhitungan menunujukkan penurunan daya sebesar 37% sehingga total daya untuk pendinginan menjadi 7882.4 kW atau energi dapat ditekan sebesar 4629 kW. simulasi total daya pada under ground terminal dari semua peralatan mekanikal dan peralatan pendingin sebesar 14144,4 kW

scholarly journals Traceable Air Baggage Handling System Based on RFID Tags in the Airport

2008 ◽  
Vol 3 (1) ◽  
pp. 106-115 ◽  
Author(s):  
Ting Zhang ◽  
Yuanxin Ouyang ◽  
Yang He
Keyword(s):  
Supply Chain ◽  
Real Time ◽  
Recognition Rate ◽  
Cost Effective ◽  
Object Identification ◽  
Rfid Tags ◽  
Handling System ◽  
International Airport ◽  
Management Efficiency ◽  
Baggage Handling

The RFID is not only a feasible, novel, and cost-effective candidate for daily object identification but it is also considered as a significant tool to provide traceable visibility along different stages of the aviation supply chain. In the air baggage handing application, the RFID tags are used to enhance the ability for baggage tracking, dispatching and conveyance so as to improve the management efficiency and the users’ satisfaction. We surveyed current related work and introduce the IATA RP1740c protocol used for the standard to recognize the baggage tags. One distributed aviation baggage traceable application is designed based on the RFID networks. We describe the RFID-based baggage tracking experiment in the BCIA (Beijing Capital International Airport). In this experiment the tags are sealed in the printed baggage label and the RFID readers are fixed in the certain interested positions of the BHS in the Terminal 2. We measure the accurate recognition rate and monitor the baggage’s real-time situation on the monitor’s screen. Through the analysis of the measured results within two months we emphasize the advantage of the adoption of RFID tags in this high noisy BHS environment. The economical benefits achieved by the extensive deployment of RFID in the baggage handing system are also outlined.

Merge Control using Reserve Ahead Point in\ Baggage Handling System

2017 ◽  
Vol 40 (2) ◽  
pp. 60-67
Author(s):  
Minhee Kim ◽  
◽  
Hyunwoo Shin ◽  
Junjae Chae
Keyword(s):  
Handling System ◽  
Baggage Handling

Application of Intelligent Components Base on Hierarchical Architecture to Baggage Handling System

2013 ◽  
Vol 415 ◽  
pp. 132-138
Author(s):  
Xiao Xiao Lv ◽  
Chun Hua Yang
Keyword(s):  
Software Development ◽  
Market Competition ◽  
Hierarchical Architecture ◽  
Handling System ◽  
Development Cycle ◽  
Baggage Handling

For satisfy market competition, airport baggage handling system needs to concern about robust, easy maintenance and reconfigure. This paper discusses a hierarchical architecture system with completed interface. Base on this structure, develop different intelligent components. The basic conveyor model is introduced also. After applied to real project, this approach shortens software development cycle and reduces the risk of commission.

scholarly journals A Siamese Neural Network for Non-Invasive Baggage Re-Identification

2020 ◽  
Vol 6 (11) ◽  
pp. 126
Author(s):  
Pier Luigi Mazzeo ◽  
Christian Libetta ◽  
Paolo Spagnolo ◽  
Cosimo Distante
Keyword(s):  
Neural Network ◽  
State Of The Art ◽  
Conveyor Belt ◽  
Handling System ◽  
Non Invasive ◽  
Training Images ◽  
Traffic Jams ◽  
Baggage Handling

Baggage travelling on a conveyor belt in the sterile area (the rear collector located after the check-in counters) often gets stuck due to traffic jams, mainly caused by incorrect entries from the check-in counters on the collector belt. Using suitcase appearance captured on the Baggage Handling System (BHS) and airport checkpoints and their re-identification allows for us to handle baggage safer and faster. In this paper, we propose a Siamese Neural Network-based model that is able to estimate the baggage similarity: given a set of training images of the same suitcase (taken in different conditions), the network predicts whether the two input images belong to the same baggage identity. The proposed network learns discriminative features in order to measure the similarity among two different images of the same baggage identity. It can be easily applied on different pre-trained backbones. We demonstrate our model in a publicly available suitcase dataset that outperforms the leading latest state-of-the-art architecture in terms of accuracy.

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