Research on Standardization of Construction Site Time-series Change Information as Learning Data for Automatic Generation of Work Plan of Construction Machinery in Earthworks

2020 ◽  
Author(s):  
Takashi Otsuki ◽  
Hirokuni Morikawa ◽  
Yushi Shiiba ◽  
Seigo Ogata ◽  
Masaharu Moteki
Keyword(s):  
Time Series ◽  
Automatic Generation ◽  
Construction Site ◽  
Construction Machinery ◽  
Work Plan ◽  
Learning Data

A contribution to the identification in fuzzy-logic control

1990 ◽  
Vol 55 (4) ◽  
pp. 951-963 ◽  
Author(s):  
Josef Vrba ◽  
Ywetta Purová
Keyword(s):  
Time Series ◽  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Fuzzy Logic Controller ◽  
Automatic Generation ◽  
Linguistic Variable ◽  
Fuzzy Subset ◽  
Input Output ◽  
Logic Control ◽  
Correlation Tables

A linguistic identification of a system controlled by a fuzzy-logic controller is presented. The information about the behaviour of the system, concentrated in time-series, is analyzed from the point of its description by linguistic variable and fuzzy subset as its quantifier. The partial input/output relation and its strength is expressed by a sort of correlation tables and coefficients. The principles of automatic generation of model statements are presented as well.

scholarly journals Proposal for Tower Crane Productivity Indicators Based on Data Analysis in the Era of Construction 4.0

Buildings ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 21
Author(s):  
Thomas Danel ◽  
Zoubeir Lafhaj ◽  
Anand Puppala ◽  
Sophie Lienard ◽  
Philippe Richard
Keyword(s):  
Time Series ◽  
Data Analysis ◽  
Statistical Analysis ◽  
Data Collection ◽  
Structural Phase ◽  
Sampling Technique ◽  
Construction Site ◽  
Data Logger ◽  
Tower Crane ◽  
Productivity Indicators

This article proposes a methodology to measure the productivity of a construction site through the analysis of tower crane data. These data were obtained from a data logger that records a time series of spatial and load data from the lifting machine during the structural phase of a construction project. The first step was data collection, followed by preparation, which consisted of formatting and cleaning the dataset. Then, a visualization step identified which data was the most meaningful for the practitioners. From that, the activity of the tower crane was measured by extracting effective lifting operations using the load signal essentially. Having used such a sampling technique allows statistical analysis on the duration, load, and curvilinear distance of every extracted lifting operation. The build statistical distribution and indicators were finally used to compare construction site productivity.

Analyses the Mechanical Equipment Management and Maintenance

2014 ◽  
Vol 599-601 ◽  
pp. 2066-2069 ◽  
Author(s):  
Chao Qun Leng ◽  
Yu Ling Huang
Keyword(s):  
Normal Operation ◽  
Enterprise Management ◽  
Mechanical Equipment ◽  
Equipment Management ◽  
Construction Site ◽  
Construction Machinery ◽  
Basic Work ◽  
Production And Operation ◽  
Management Work ◽  
Total Life

Equipment use, management, maintenance and repair of phase take up of the total life cycle of the equipment for the most part, pays special attention to the equipment management, ensure the safe and normal operation of the enterprise management work is a basic work, it keeps the foundation of the enterprise production and operation, affecting all aspects of the enterprise. This paper points the analysis construction site construction machinery equipment management problems and countermeasures. Construction machinery equipment compulsory maintenance measures are put forward.  

scholarly journals Analysis of construction sub-processes for the evaluation of the real performance of tower cranes

2021 ◽  
Vol 1203 (2) ◽  
pp. 022132
Author(s):  
Rostislav Doubek ◽  
Dita Hořínková ◽  
Martin Štěrba ◽  
Radka Kantová
Keyword(s):  
Stochastic Approach ◽  
Construction Site ◽  
Construction Sites ◽  
Actual Performance ◽  
The Real ◽  
Construction Machinery ◽  
Tower Crane ◽  
Secondary Transport ◽  
Real Performance ◽  
Time Requirements

Abstract The productivity of work performed at construction sites is primarily dependent on the effective deployment and use of construction machinery. Nevertheless, manufacturers do not state the actual performance of their machinery because it is difficult to determine due to its dependence on the specific conditions present at each construction site. One of the most important machines used in the construction of buildings is the tower crane, which provides secondary transport of material onsite. In order to evaluate the effectiveness of the use of such machines using a deterministic or stochastic approach, a relatively extensive and exact set of data describing the activities of a given tower crane needs to be prepared. These data describe the real requirements of ongoing construction sub-processes with regard to the utilisation of tower cranes. This contribution concerns the analysis of key construction sub-processes during the building of monolithic reinforced concrete structures in connection with secondary transport at the construction site; in particular, it describes the preparation and processing of this data for the evaluation of real time requirements placed on tower cranes.

scholarly journals Automatic Generation of Sentinel-1 Continental Scale DInSAR Deformation Time Series through an Extended P-SBAS Processing Pipeline in a Cloud Computing Environment

2020 ◽  
Vol 12 (18) ◽  
pp. 2961 ◽  
Author(s):  
Riccardo Lanari ◽  
Manuela Bonano ◽  
Francesco Casu ◽  
Claudio De Luca ◽  
Michele Manunta ◽  
...  
Keyword(s):  
Time Series ◽  
Cloud Computing ◽  
Ground Deformation ◽  
Information Access ◽  
Automatic Generation ◽  
Continental Scale ◽  
Processing Pipeline ◽  
Position Time Series ◽  
Sar Data ◽  
Gnss Position Time Series

We present in this work an advanced processing pipeline for continental scale differential synthetic aperture radar (DInSAR) deformation time series generation, which is based on the parallel small baseline subset (P-SBAS) approach and on the joint exploitation of Sentinel-1 (S-1) interferometric wide swath (IWS) SAR data, continuous global navigation satellite system (GNSS) position time-series, and cloud computing (CC) resources. We first briefly describe the basic rationale of the adopted P-SBAS processing approach, tailored to deal with S-1 IWS SAR data and to be implemented in a CC environment, highlighting the innovative solutions that have been introduced in the processing chain we present. They mainly consist in a series of procedures that properly exploit the available GNSS time series with the aim of identifying and filtering out possible residual atmospheric artifacts that may affect the DInSAR measurements. Moreover, significant efforts have been carried out to improve the P-SBAS processing pipeline automation and robustness, which represent crucial issues for interferometric continental scale analysis. Then, a massive experimental analysis is presented. In this case, we exploit: (i) the whole archive of S-1 IWS SAR images acquired over a large portion of Europe, from descending orbits, (ii) the continuous GNSS position time series provided by the Nevada Geodetic Laboratory at the University of Nevada, Reno, USA (UNR-NGL) available for the investigated area, and (iii) the ONDA platform, one of the Copernicus Data and Information Access Services (DIAS). The achieved results demonstrate the capability of the proposed solution to successfully retrieve the DInSAR time series relevant to such a huge area, opening new scenarios for the analysis and interpretation of these ground deformation measurements.

scholarly journals Estimation of the excavator actual productivity at the construction site using video analysis

2021 ◽  
Vol 13 (1) ◽  
pp. 2341-2352
Author(s):  
Martina Šopić ◽  
Mladen Vukomanović ◽  
Diana Car-Pušić ◽  
Ivica Završki
Keyword(s):  
Video Camera ◽  
Site Conditions ◽  
Construction Site ◽  
Monitoring And Control ◽  
Research Framework ◽  
Construction Machinery ◽  
Continuous Application ◽  
Heavy Construction ◽  
And Control ◽  
Advanced Computer

Abstract Current estimates of the actual productivity of heavy construction machinery at a construction site are not supported by an appropriate and widely used methodology. Recently, for the purpose of estimating the actual productivity of heavy construction machinery, vision-based technologies are used. This paper emphasizes the importance of estimating actual productivity and presents a way (i.e. a research framework) to achieve it. Therefore, the aim of this paper is to propose a simple research framework (SRF) for quick and practical estimates of excavator actual productivity and cycle time at a construction site. The excavator actual productivity refers to the maximum possible productivity in real construction site conditions. The SRF includes the use of a video camera and the analysis of recorded videos using an advanced computer program. In cases of continuous application of SRF, a clear and transparent base for monitoring and control of earthworks can be obtained at an observed construction site.

scholarly journals Study on The Factors and Effects of Noise Pollution at Construction Site in Klang Valley

2020 ◽  
Vol 20 (1) ◽  
pp. 18-26
Author(s):  
Chow Yi Feng ◽  
Nur Ilya Farhana Md Noh ◽  
Ramez Al Mansob
Keyword(s):  
Sleep Disturbance ◽  
High Intensity ◽  
Construction Projects ◽  
Noise Pollution ◽  
Construction Site ◽  
Huge Amount ◽  
Construction Machinery ◽  
Long Period ◽  
Factor Effect ◽  
Klang Valley

Noise Pollution is the high intensity of sound that is unnecessary and will cause harmful or danger towards human or nearby ecosystem. However, the occurrence of noise pollution is getting worse due to the process of country development. Noise pollution at construction site has become one of the noise pollution contributors in urban area where development in keep on going with the needs of construction projects. Area of study had been targeted at Klang Valley, Malaysia since it was one of the developing areas that consist huge amount of construction projects. Noise pollution produced at construction site is harmful to the health of those who involved in the construction projects and stay at the site for a long period of works. Thus, the main objectives of this study are to determine the factor of noise pollution at construction site and the effects of the noise towards those parties who involve such as engineer, contractor etc. The solutions to prevent or decrease the noise pollution at construction site were determined to help reducing its bad effects. Approximately 60 respondents had been collected in this survey to determine the most significant factor, effect and solution for noise pollution at construction site around Klang Valley. Based on the finding of this study, the significant factor caused noise pollution at construction site is due to heavy machinery operating. Respondents agreed that the noise pollution major affect is sleep disturbance. The significant solution against noise pollution at construction site is by applying muffler or silencer on construction machinery and equipment.

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