A construction monitoring system based on big data

Abstract

The invention belongs to the technical field of construction monitoring, and particularly relates to an engineering construction monitoring system based on big data. The system comprises a big data center, a data storage module, a man-hour statistics module, a safety monitoring module and an intelligent terminal; the big data center is used for storing data integrated by the data storage module, and the intelligent terminal can access internal data through a GPRS data network. According to the invention, the work time of a worker is recorded through the punch-card machine and manual form filling; then the working time of the worker is transmitted to the data storage module; the data output unit stores the data analyzed by the data analysis unit into a big data center; the worker can use the intelligent terminal to obtain data from the big data center, for example, through a mobile phone or a computer, the input amount of the worker in the construction process is monitored, the worker is reasonably allocated to conduct reasonable construction production, and the accuracy of cost management analysis, the progress of engineering construction and the quality of engineering are guaranteed.

Description

technical field [0001] The invention belongs to the technical field of construction monitoring, in particular to a large data-based engineering construction monitoring system. Background technique [0002] With the advent of big data, cloud era and new industrial revolution, the world is entering a new era of intelligence. The field of construction engineering is the big data industry with the largest amount of data and the largest business scale, but it is also the industry with the least data among all industries. Construction projects often have the characteristics of large investment, long construction period, many uncertain factors, high risks, and many participants. [0003] There are also some technical solutions for engineering construction in the prior art. For example, the Chinese patent application number 201910881321X discloses a project cost management system based on big data. It uses the construction decision analysis module to establish multiple construction...

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Problems solved by technology

[0003] There are also some technical solutions for engineering construction in the prior art. For example, the Chinese patent application number 201910881321X discloses a project cost management system based on big data. It uses the construction decision analysis module to establish multiple construction engineers according to the engineering project Comprehensive prediction and analysis of construction difficulty in the construction problems in each construction process in order to improve the accuracy of the construction difficulty of each construction engineer in the same construction process in the same project, and reduce the difficulty of construction process caused by the evaluation of construction difficulty by individual engineers The coefficient deviates from the actual difficulty coefficient, which improves the maximization of the joint construction difficulty coefficient of each project to each project, and greatly improves the accuracy of determining the difficulty of each construction process in the project project, which is reasonable and scientific , but it cannot monitor the progress of the project according to the input of workers, and it cannot reasonably equip workers to carry out reasonable construction and production according to the needs, and thus cannot guarantee the accuracy of cost management analysis, nor can it guarantee the accuracy of project construction. progress, and quality assurance cannot be achieved on the basis of ensuring progress. In view of this, the present invention provides a construction monitoring system based on big data, which can obtain data from the big data center by using smart terminals, such as through mobile phones or Computers are used to monitor the input of workers during the construction process, reasonably allocate workers to carry out reasonable construction production, and ensure the accuracy of cost management analysis, project construction progress and project quality

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