A Study Of The Hybrid Bus Real-time Sensor Data Pre-processing Under The Condition Of Vehicle Networking

After following the computer, Internet and mobile communication network, theInternet of things has led to a new generation of information technology revolution. In2009first proposed the innovative concept of "wisdom of the earth", and at the same time,the Internet of things as the revitalization of the economy, one of the key areas to improvenational strength. The same year, Chinese Premier Wen put forward the "perceptionChina" since the Internet of things has been officially listed as one of the five majoremerging strategic industry in our country, and written into the government work report.In the information society, the Internet of things is mainly applied in the field of medical,electronic government affairs, network, education, transportation, city management. TheInternet of things applications also produced tens of thousands of data, with the growingvolume of data increases dramatically and data types, and gave birth to the arrival of theera of big data.Car networking as the Internet of things in the typical applications of intelligentpublic transportation, in addition to the General characteristics of the Internet data, butalso has its own structures and properties of vehicle data under the condition oftelematics. In this paper, under related documentation of data quality and data cleaningand data pre-processing and such as quantitative analysis, discussed the current researchstatus of real-time data cleaning process quantitative analysis, combined with analysis ofthe main quality problems and characteristics of networking real-time data. In theresearch general sensing data and under the sensing information processing method, usinga variety of intelligence quantitative analysis method of data cleaning pretreatment ofon-board sensors based on the hybrid window.For the study of the issues raised, proposed the telematics network construction andon-board data frame, combined with the massive, heterogeneous, real-time and theprincipal features of vehicle data, proposes telematics data pre-processing framework ofreal-time cleaning, which is based on a continuous-type and switch signal from two maintypes of on-board data that in real-time cleaning algorithm. Finally, with the gas cylinderpressure as the representative of the continuous variables and the brake of on-boardswitch signal real-time data as the foundation, and were studied and analyzed the relevantalgorithm of real-time cleaning. According to the data of respective characteristic, basedon the sliding window to ensure real-time data cleaning, use the lander criterion, moving average filter, wavelet transform, Bias decision theory and many kinds of quantitativeanalysis methods for fusion cleaning. Use these intelligence quantitative analysis methodsfor data preprocessing, and to be able to effectively deal with the error, noise, missing,such as abnormal data deletion and obtains the accurate data message. And providingreal-time, accurate and reliable public transport information service for the occupants andso as to improve intelligent management of public transport.Due to the complexity of real-time data cleaning algorithm and the characteristics ofvehicle data, coupled with the writing time is quite hasty and own horizontal ability islimited, there are places of the mistakes and also invited to criticize and point outmistakes in the article.