Application of Automatic Data Collection Technology in Construction Site Management

Data automatic acquisition technology is a new information technology in construction management. The use of this technology is to track and locate the project object, real-time transmission of data information, and through computer processing and analysis of data information, and then to the site monitoring personnel to transfer the specific situation of the construction site, so the construction site for effective monitoring and management. Based on the goal of strengthening the construction site management of the building, this paper classifies the data automatic acquisition technology from the functional use, and then studies the application of the data acquisition technology in the construction site manage-ment, hoping to improve the construction site management level reference function.

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Automatic Data Collection System for Structural Health Monitoring

Maintenance, Safety, Risk, Management and Life-Cycle Performance of Bridges ◽

10.1201/9781315189390-223 ◽

2018 ◽

pp. 1635-1641

Author(s):

Akito Yabe ◽

Tetsuya Iye ◽

Ayaho Miyamoto

Keyword(s):

Structural Health Monitoring ◽

Data Collection ◽

Health Monitoring ◽

Collection System ◽

Automatic Data ◽

Data Collection System ◽

Structural Health ◽

Automatic Data Collection

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Automatic Data Collection and Analysis for Works Investigations: Early Experience with an Automatic Performance Recorder

Journal of the Operational Research Society ◽

10.1057/jors.1960.19 ◽

1960 ◽

Vol 11 (4) ◽

pp. 244-256

Author(s):

R. C. Cooke ◽

D. Robinson

Keyword(s):

Data Collection ◽

Early Experience ◽

Automatic Data ◽

Data Collection And Analysis ◽

Automatic Data Collection

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Robust indexing for automatic data collection

Journal of Applied Crystallography ◽

10.1107/s0021889804005874 ◽

2004 ◽

Vol 37 (3) ◽

pp. 399-409 ◽

Cited By ~ 110

Author(s):

Nicholas K. Sauter ◽

Ralf W. Grosse-Kunstleve ◽

Paul D. Adams

Keyword(s):

Data Collection ◽

High Throughput ◽

Visual Inspection ◽

The Novel ◽

Automatic Data ◽

X Ray ◽

Alternative Approach ◽

Automatic Data Collection ◽

Diffraction Patterns ◽

Improved Methods

Improved methods for indexing diffraction patterns from macromolecular crystals are presented. The novel procedures include a more robust way to verify the position of the incident X-ray beam on the detector, an algorithm to verify that the deduced lattice basis is consistent with the observations, and an alternative approach to identify the metric symmetry of the lattice. These methods help to correct failures commonly experienced during indexing, and increase the overall success rate of the process. Rapid indexing, without the need for visual inspection, will play an important role as beamlines at synchrotron sources prepare for high-throughput automation.

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