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Building construction progress management system and method

A technology for building construction and progress management, applied in data processing applications, instruments, office automation, etc., can solve problems such as backward calculation methods, rough calculation results, and no early warning methods, so as to strengthen building construction information management technology and improve construction Production efficiency, the effect of realizing data management

Inactive Publication Date: 2018-01-26
苏州凯瑟兰特信息科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Third, low value density
[0006] At present, the calculation of project engineering quantity usually adopts the method of manual calculation. Generally, project technicians and business personnel roughly calculate the engineering quantity according to the information contained in the construction drawings. The calculation method is outdated and the calculation results are rough.
Project cost calculation usually refers to the cost of previous projects, combined with the project quantity to estimate the cost of the current project, which cannot fully reflect the particularity of the current project; project progress management mainly relies on the management personnel to prepare and execute the progress plan based on past construction experience; When counting the actual quantity of work completed, it only stays in the text description, which cannot achieve intuitive results. When the project progress lags behind the construction plan, there is no effective early warning method, and it is impossible to find out the cause of the lag in time, let alone take effective measures. Measures to remedy and resolve the current state, project progress management is completely passive

Method used

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Examples

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Embodiment Construction

[0027] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention. Apparently, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0028] A building construction progress management system based on big data, including basic information unit, data acquisition unit and data analysis unit:

[0029] The basic information unit includes basic data information for data management;

[0030] The data acquisition unit includes an automatic acquisition module and a data input module;

[0031] The data acquisition unit is used for inductively processing the first-generation data submitted by the data acquisition un...

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PUM

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Abstract

The invention discloses a building construction progress management system and method. The system comprises a basic information unit, a data acquisition unit and a data analysis unit, wherein the basic information unit comprises the basic data information for data management, the data acquisition unit comprises an automatic acquisition module and a data input module, the data acquisition unit is used for carrying out induction processing on submitted first-generation data to acquire second-generation data for data analysis, and the data analysis unit is used for carrying correlation operationaccording to the second-generation data to acquire third-generation data.

Description

technical field [0001] The invention relates to the technical field of building construction, in particular to a building construction progress management system and method. Background technique [0002] Big data, or massive data, refers to massive, high-growth, and diverse information assets that require new processing models to have stronger decision-making power, insights, and process optimization capabilities. The 4V characteristics of big data: Volume (mass), Velocity (high speed), Variety (variety), Value (value). The four "Vs" of big data, or characteristics, have four levels: First, the volume of data is huge. From the TB level, it has jumped to the PB level; second, there are many types of data. Such as web logs, videos, pictures, geographic location information, etc. Third, the value density is low. Taking video as an example, in the process of continuous and uninterrupted monitoring, the potentially useful data is only one or two seconds. Fourth, the processi...

Claims

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Application Information

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IPC IPC(8): G06Q10/10G06Q50/08
Inventor 苏英
Owner 苏州凯瑟兰特信息科技有限公司
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