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Air quality big data management method and system for smart cities

A technology of air quality and management methods, applied in data processing applications, instruments, forecasting, etc., can solve problems such as slow calculation and processing, unpredictable and early warning, and achieve fast reading and writing speed, meet time requirements, and data A large amount of effect

Active Publication Date: 2019-12-10
陕西百智天成科技信息有限公司
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These methods can only monitor the current real-time air quality and respond as timely as possible, and the calculation and processing are slow when the amount of data is too large, so they cannot make effective predictions and early warnings for the future.

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  • Air quality big data management method and system for smart cities
  • Air quality big data management method and system for smart cities
  • Air quality big data management method and system for smart cities

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Embodiment Construction

[0036] The air quality big data management system proposed by the present invention can manage and warn the air quality data of multiple smart cities. Firstly, establish an interconnected multi-dimensional air quality large database, which is a cloud database, providing storage and retrieval functions, and build a smart city air quality big data management main system based on the Hadoop platform. The data of the cloud main system comes from the monitoring points of each subsystem. The monitoring points only store a small amount of historical data locally. The air quality early warning subsystem obtains the required data from the main system, and combines various influencing factors and their corresponding data characteristics. Spark's distributed forecasting model predicts local air quality data, warns of possible serious situations, and takes countermeasures.

[0037] The functional modules included in the smart city air quality big data management main system:

[0038] 1. ...

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Abstract

The invention discloses an air quality big data management method and system for smart cities. Air quality data of the multiple smart cities are managed and early warned. A multi-dimensional air quality big database is established, and the database is a cloud database and provides storage and retrieval functions. An air quality big data management main system of the smart cities is built based ona Hadoop platform. Data of the cloud main system comes from monitoring points of all subsystems. Only a small amount of historical data is locally stored in the monitoring points. The air quality early warning subsystem acquires required data from the main system, predicts local air quality data by using a Spark-based distributed prediction model in combination with various influence factors and corresponding data characteristics, performs early warning on possible serious conditions, and takes processing measures.

Description

technical field [0001] The invention relates to the fields of big data and cloud computing, in particular to a method and system for managing air quality big data in a smart city. Background technique [0002] The problem of air quality has become the focus of attention of various countries in recent years. Harmful fine particles produced by waste and exhaust gas cause atmospheric pollution, which are well-known PM2.5 and PM10. The problem of air quality will not only cause permanent harm to human health, but also adversely affect the ecological system and social production. Therefore, the monitoring and management of air quality can solve the impact of air pollution to a certain extent. [0003] The research at this stage is mainly aimed at the monitoring of local indoor or regional outdoor air quality, which usually consists of a monitoring system, a main control processing system and a terminal system. Acquisition subsystem, information processing equipment and intelli...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G01W1/00
CPCG06Q10/04G06Q10/0639G01W1/00G01W2001/006
Inventor 刘辉李燕飞徐一楠
Owner 陕西百智天成科技信息有限公司
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