Automatic real-time tracking method and tracking system for housing construction progress

Abstract

The invention discloses an automatic real-time tracking method for a construction progress of a house building. The method comprises the steps that tracking points are arranged on a tower crane; height readings of different angle tracking points and a target building (a target) are obtained by rotating the tower crane, stored, screened, averaged and sent to scale units; data of the scale units is calculated; the height (target height) from the target to the tower crane is stored; angle scale values are read; target height values are screened and averaged when the stored data size reaches a preset value or the setting time is elapsed from storing the first data; the average target height value, the angle scale values, horizontal positions of the tracking points, and the like are transmitted to a server; the server screens and averages the all-day target height of each scale unit; and the average all-day target height, the angle scale values and data quality information are stored in a database. The screening is reliability screening; a corresponding system mainly comprises a range sensor, an angle measurement element, a processor, an AD (Analog to Digital) converter, a wireless communication module and the server; the range sensor is connected with the processor by the AD converter; and the angle measurement element outputs a signal to the processor.

Description

technical field [0001] The invention relates to an automatic real-time tracking method for building construction progress, in particular to an automatic real-time tracking method for building construction progress. It also relates to an automatic real-time tracking system for building construction progress. Background technique [0002] The traditional way of collecting construction progress of housing construction is manual measurement and manual reporting: manual measurement and manual reporting by technicians. The second is manual measurement and software filling: after manual measurement by technicians, fill in and report through software (network, offer). [0003] The disadvantages of the above method are obvious. First, it is not timely. The data is filled in and reported layer by layer, and often becomes "historical data" when it reaches the relevant personnel. The second is inaccuracy. The data has been manually measured, and data deviations caused by measurement m...

AI Technical Summary

Problems solved by technology

[0003] The disadvantages of the above method are obvious. First, it is not timely. The data is filled in and reported layer by layer, and often becomes "historical data" when it reaches the relevant personnel.

The second is inaccuracy. The data has been manually measured, and data deviations caused by measurement methods or other non-technical reasons (such as performance appraisal, profit-driven) occur from time to time.

The third is incompleteness. Progress data is often composed of a series of progress parameters. Traditional methods often ignore the integrity and relevance of these parameters, resulting in a lack of data integrity.

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