Research On Methods In Comprehensively Assessing&Forecasting Elevator Hazards Based On Big Data Analysis

As a vertical transportation for tall buildings,elevators is playing a significant role and becomes more and more indispensable to people's lives with the evolvement of urbanization and more and more high-rises emerging.Therefore,elevator security is of great significance to people.The substantial impacts on the society of elevator accidences in recent years suggest that the public is closely concerned and worried about elevator safety.Thus,it is necessary to conduct assessments on the operational hazards of the currently working elevators to effectively eliminate lift accidences.With data collected from the facility's manufacturing,assembling,maintenance &protection,inspection,operation,supervision & random checks,monitoring & complains,and accidences handling,and by using the Big Data analysis and Cloud computing technologies,this paper is aimed at studying into the possibility of putting forward a dynamic mechanism for elevator safety assessment which is capable of evaluating currently-working elevators and releasing systematic risk warnings by analyzing risks and accidents.First of all,in this paper,a risk assessment index system will be constituted for elevators to systematically identify risks factors during its designing,manufacturing,assembling,operation,maintenance,management,repair & transformation,from cases for reference,etc.With risks factors about elevator security having been preliminarily verified,the Big Data analysis-based risk assessment index system for analyzing the possibilities of such factors and its weight will be set forth depending on historical data and a calculation model for elevator risk assessment will be worked out.The indexes and weight of the system would become increasingly complete through analyzing on relevant data collected regularly to consistently modify the above two factors.Secondly,this assessing platform is capable of conducting pre-assessment and evaluation from the equipment,deciding the risk level pursuant to methods stipulated in the GB/T20090-2007 Methods in Evaluating and Reducing Risks in Elevators,Escalators and Passenger Conveyors,identifying the risk factors,and giving out timely systematic risk warnings according to data input to the system.Further,this paper will discuss the possibility of developing a software forsystematic assessment on elevator risks.It will analyze on how to establish a set of such software from multiple respects such as computer programming language,requirements for it,Big Data analysis,Cloud computing technology,etc.and discuss the possibility of the research thoughts of this paper.Finally,the accident data,specific data for inspection,supervision and random checks elected herein is both judged by professional technicians and systematically evaluated by this software.The two results will be analyzed to verify the validity and applicability of this assessing software.