Intelligent engineering design acceptance system based on big data

Abstract

The invention discloses an intelligent engineering design acceptance system based on big data, and the system comprises a data collection module, a data analysis module, a data processing module, a data storage module, a feedback module, an interconnection module, and a user terminal. According to the system, through arranging the data analysis module, different road surface areas are sampled. Theillumination intensity coefficient in the sampling area is calculated through the street lamp density and the bulb power, accurate data is used for providing data support for the acceptance result, the persuasion of the acceptance result is improved, the isolation strip height and the light transmission intensity of the isolation strip are quantified through the data analysis module. Data analysis is carried out on an isolation belt in the middle of a road, workers are prevented from lacking objective basis in acceptance check, road driving is prevented from being affected by light of opposite lanes due to poor shading effect of the isolation belt, and potential safety hazards are eliminated.

Description

technical field [0001] The invention relates to an engineering design acceptance system, in particular to an intelligent engineering design acceptance system based on big data. Background technique [0002] With the rapid development of big data technology, almost every field and every industry is accompanied by application networking. Big data technology updates its own transaction processing methods and processes to improve the processing efficiency and accuracy of data information. [0003] Engineering projects involve huge cost input. Once quality problems occur, it will not only lead to cost waste, but may also pose a threat to people's lives and property safety. Therefore, the acceptance work of engineering projects needs rigorous and huge data to support. In the project In the acceptance process, it is often necessary to set up a large number of sample collection points and generate massive data through sample collection and analysis to judge whether the overall indic...

AI Technical Summary

Problems solved by technology

[0006] (1) How to sample different road surface areas by setting up the data analysis module, and calculate the lighting intensity coefficient in the sampling area through the street lamp density and bulb power, so as to solve the lack of accurate calculation of street lamp lighting intensity in the acceptance process of existing projects , leading to the lack of data support and weak persuasiveness in the acceptance results;

[0007] (2) How to quantify the height of the isolation zone and the light transmission intensity of the isolation zone by setting the data analysis module, and analyze the data of the isolation zone in the middle of the road, so as to solve the problem of unsafe driving on the road due to the poor shading effect of the existing isolation zone

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