Dhipo Arsyandana Putra, S. M. Nasution, Fairuz Azmi
{"title":"飞机按需黑匣子数据传输飞行记录仪压缩可靠性分析","authors":"Dhipo Arsyandana Putra, S. M. Nasution, Fairuz Azmi","doi":"10.1109/ICCEREC.2017.8226687","DOIUrl":null,"url":null,"abstract":"Currently, Blackbox records all important information that happens during the accident that is Flight Data Recorder (FDR) and Cockpit Voice Recorder (CVR). The data is for by applying a compression method to make both of them get into transmission with on demand. This way is probably to present the data without has to find the black box. It will make the investigator easier on the evacuation process. In this study, a program created is the conversion of data into binary, split and merge data and data compression. The compression results are based on the type and size of the FDR data. The algorithm is to make the data size smaller and the decompression process takes a long time compared to the compression process. The results of the analysis get the result that when the compression process is faster to 1295.33 second than FDR data recording process. and the time required decompression time longer to 3805.10 second. On the simulation FDR, from the process parsing, compression, decompression until merge all data needed time to 5008,1316 second.","PeriodicalId":328054,"journal":{"name":"2017 International Conference on Control, Electronics, Renewable Energy and Communications (ICCREC)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Analysis of flight data recorder compression reliability for airplane on demand blackbox data transmission\",\"authors\":\"Dhipo Arsyandana Putra, S. M. Nasution, Fairuz Azmi\",\"doi\":\"10.1109/ICCEREC.2017.8226687\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Currently, Blackbox records all important information that happens during the accident that is Flight Data Recorder (FDR) and Cockpit Voice Recorder (CVR). The data is for by applying a compression method to make both of them get into transmission with on demand. This way is probably to present the data without has to find the black box. It will make the investigator easier on the evacuation process. In this study, a program created is the conversion of data into binary, split and merge data and data compression. The compression results are based on the type and size of the FDR data. The algorithm is to make the data size smaller and the decompression process takes a long time compared to the compression process. The results of the analysis get the result that when the compression process is faster to 1295.33 second than FDR data recording process. and the time required decompression time longer to 3805.10 second. On the simulation FDR, from the process parsing, compression, decompression until merge all data needed time to 5008,1316 second.\",\"PeriodicalId\":328054,\"journal\":{\"name\":\"2017 International Conference on Control, Electronics, Renewable Energy and Communications (ICCREC)\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Control, Electronics, Renewable Energy and Communications (ICCREC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCEREC.2017.8226687\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Control, Electronics, Renewable Energy and Communications (ICCREC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCEREC.2017.8226687","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis of flight data recorder compression reliability for airplane on demand blackbox data transmission
Currently, Blackbox records all important information that happens during the accident that is Flight Data Recorder (FDR) and Cockpit Voice Recorder (CVR). The data is for by applying a compression method to make both of them get into transmission with on demand. This way is probably to present the data without has to find the black box. It will make the investigator easier on the evacuation process. In this study, a program created is the conversion of data into binary, split and merge data and data compression. The compression results are based on the type and size of the FDR data. The algorithm is to make the data size smaller and the decompression process takes a long time compared to the compression process. The results of the analysis get the result that when the compression process is faster to 1295.33 second than FDR data recording process. and the time required decompression time longer to 3805.10 second. On the simulation FDR, from the process parsing, compression, decompression until merge all data needed time to 5008,1316 second.