Big data analysis and processing platform of air quality monitoring system

An air quality and monitoring system technology, applied in database distribution/replication, database indexing, structured data retrieval, etc., can solve problems such as expansion difficulties, low data storage capacity, and expensive servers, and achieve convenient expansion and fast computing Effect

Pending Publication Date: 2019-03-29
BEIJING UNIV OF TECH
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  • Abstract
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AI Technical Summary

Problems solved by technology

[0006] In order to overcome the traditional database's slow calculation speed, low data storage capacity, expensive server, and d

Method used

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  • Big data analysis and processing platform of air quality monitoring system
  • Big data analysis and processing platform of air quality monitoring system
  • Big data analysis and processing platform of air quality monitoring system

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Embodiment Construction

[0018] The present invention will be further described below in conjunction with accompanying drawing and specific embodiment:

[0019] figure 1 It is a structural block diagram of the present invention, which includes a data acquisition module, a data preprocessing module, a data processing module, a data storage module and a data prediction module. After the data is collected by the collection module, the platform will stream the data and save the final data to the distributed data table for later viewing. Data prediction is an integral part of data calculation. After using the ALS algorithm to train the prediction model, users only need to input temperature and humidity, wind direction, air data of nearby cities, etc. to realize air quality prediction.

[0020] figure 2 It is a structural block diagram of the data acquisition mode of the present invention. In the present invention, there may be multiple monitoring terminals all over the city, and the data sent by each m...

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Abstract

The invention discloses a big data analysis and processing platform of an air quality monitoring system, which applies the big data technology to the air quality monitoring system instead of using a traditional database to store the air quality data and tedious software programming to realize data processing and display. The big data analysis and processing platform comprises a data acquisition module, a data preprocessing module, a data processing module, a data storage module and a data prediction module, and can realize real-time synchronous processing and storage of data of a plurality ofmonitoring terminals. The processed data are stored in the distributed database HBase. By pre-partitioning the HBase table and designing the key values of the data, the air quality data can be saved by multiple computers and the hot spots can be solved effectively. By inputting temperature, humidity, wind direction and air quality data of neighboring cities, the data prediction module can effectively predict air quality data, and save the input and forecast data.

Description

technical field [0001] The invention relates to the field of air quality monitoring, the fields of big data collection, analysis and storage, in particular to the application of big data technology to an air quality monitoring system. Background technique [0002] With the continuous development of China's economy, the level of industrial development is moving forward with an unprecedented span. At the same time, the atmospheric environment is suffering serious damage. For example, SO2 in the atmosphere can cause inflammation of the human respiratory tract, bronchitis, emphysema, conjunctival inflammation, etc., and at the same time reduce the immunity of young people and weaken their ability to resist diseases. Nowadays, people are paying more and more attention to real-time monitoring of air quality data and accurate prediction of air data. The traditional method is to use traditional databases to store air quality data, and use cumbersome software programming to realize...

Claims

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Application Information

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IPC IPC(8): G06F16/22G06F16/27
Inventor 耿淑琴祝欣侯宇鹏彭晓宏侯立刚张明明储孟浩周生远
Owner BEIJING UNIV OF TECH
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