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An engineering management system based on big data

A technology of engineering management and big data, applied in the field of engineering management, can solve problems such as low efficiency, excessive time, and cost, and achieve the effect of avoiding misjudgment and ensuring effective operation

Pending Publication Date: 2019-04-23
GUANGZHOU EPRO INFORMATION TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

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
[0006] 1. More human participation is required, and it takes more time to communicate through all levels, which is not conducive to project management personnel to grasp the construction progress and timely dispatch construction plans
[0007] 2. On-site data collection by personnel and statistical analysis of data may be wrong and inefficient

Method used

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  • An engineering management system based on big data

Examples

Experimental program
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Effect test

Embodiment 1

[0052] The project management system based on big data of the present invention includes a cloud server connected to the network, a monitoring terminal that can be worn by workers, and a management terminal used by managers. The monitoring terminal in this embodiment is a smart bracelet;

[0053] The cloud server includes:

[0054] The database pre-stores the worker information and monitoring terminal information of each worker, and the worker information corresponds to the monitoring terminal information one by one; it also pre-stores the scope of work signs, as well as the working time period and working address range; specifically, the worker information includes Worker name, worker ID number, worker gender and other information; each monitoring terminal has its own number, and the worker information of each worker corresponds to the number of the monitoring terminal; the working time period is the normal working time of the construction site, for example: 07: 00-12:00 and ...

Embodiment 2

[0069] Such as figure 1 As shown, the difference between this embodiment and Embodiment 1 is that the database also pre-stores the normal physical sign range; the monitoring terminal includes a detection module, a reminder module and a reply module; the cloud server also includes a judgment module and an alarm module;

[0070] The detection module is used to detect the physical sign information and location information of workers and upload them to the cloud server; specifically, the detection module includes temperature sensors, heart rate sensors, blood pressure sensors, etc., and the physical sign information includes body temperature information, heart rate information, and blood pressure information, etc.;

[0071] The judging module is used to judge whether the received sign information exceeds the normal sign range; it is also used to send a reminder command to the monitoring terminal worn by the corresponding worker when it is judged that the sign information exceeds th...

Embodiment 3

[0077] The difference between this embodiment and Embodiment 1 is that the worker information includes job type information and path fluctuation range information, and the path fluctuation ranges of different job type information are different, and the job type information corresponds to the path fluctuation range information;

[0078] Cloud servers also include:

[0079] A path generation module, configured to generate time-path information corresponding to each worker according to the position information of the workers in the working state; specifically, the time-path information is a path map with time as the abscissa and path information as the ordinate; Because workers of different types of work have different paths during work, taking the construction of gate stations in gas engineering as an example, for example, the positions of skilled workers who build walls are relatively fixed during working hours, that is, the range of walking will not be too large. However, unsk...

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Abstract

The invention discloses an engineering management system based on big data, and the system comprises a cloud server which is in network connection, a management terminal which is used by a manager, and a mobile terminal of each engineering responsible person, the mobile terminal comprises a data collection module, and the data collection module is used for collecting the image information of a construction site. The cloud server comprises a database, an information input module, an information collection module and an analysis and judgment module, and is used for comparing and analyzing the progress reports and image information of the projects with the construction progress plans and judging whether the construction progress is behind the construction progress plans or not, and is also used for sending the information of backward progress and the information of the responsible person of the project to the related management personnel when the construction progress is judged to be backward in the construction progress plan. According to the invention, the acquired image data and the progress report uploaded by each project responsible person are analyzed based on the processing capability of the big data, so that the real-time monitoring of the construction progress is realized.

Description

technical field [0001] The invention relates to the technical field of engineering management, in particular to an engineering management system based on big data. Background technique [0002] Big data refers to massive, high-growth and diversified information assets that require new processing models to have stronger decision-making power, insight and process optimization capabilities. Big data has 4V characteristics: Volume (mass), Velocity (high speed), Variety (variety), Value (value). The four "Vs" of big data, or in other words, have four levels of characteristics: First, the volume of data is huge, jumping from TB level to PB level. Second, there are many types of data, such as web logs, videos, pictures, geographic location information, and so on. Third, the value density is low. Taking video as an example, during the continuous and uninterrupted monitoring process, the potentially useful data is only one or two seconds. Fourth, the processing speed is fast. [...

Claims

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Application Information

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IPC IPC(8): G06Q10/10G06Q10/06
CPCG06Q10/063114G06Q10/103Y04S10/50
Inventor 凌征泉陈明
Owner GUANGZHOU EPRO INFORMATION TECH
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