A method for identifying urban air pollution events in social network media data
An air pollution, network media technology, applied in data processing applications, character and pattern recognition, computer parts and other directions, can solve problems such as lack of urban air pollution incident monitoring technology, and achieve the effect of reducing computing time
Active Publication Date: 2019-05-07
XIAN UNIV OF TECH
View PDF9 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0004]
The purpose of the present invention is to provide a method for identifying urban air pollution events in social network media data, which solves the problem of lack of existing urban air pollution event monitoring technology
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0027] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0028] The identification method of urban air pollution event in the social network media data of the present invention, such as figure 1 As shown, the specific steps are as follows:
[0029] Step 1. Using social network media data as the data source, extract data related to urban air pollution from the historical data in it. Among them, the data related to urban air pollution is obtained from two aspects: the user's direct ambient air description and the description of pollution events Obtain and reconstruct the basic event data of multi-modal urban air pollution with complete semantic functions based on the types of environmental pollution events, gridded urban locations, and social media attributes as reconstruction guidelines;
[0030] Step 2, extracting the urban air pollution event identification index set from the social network media...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention discloses a method for identifying an urban air pollution event in social network media data. The method comprises the following steps: taking social network media data as a data source;extracting data related to urban air pollution from the historical data, wherein the acquisition of the urban air pollution related data is acquired from two aspects of direct environmental air description and pollution event description of a user, and multi-mode urban air pollution basic event data with a complete semantic function is reconstructed by taking an environmental pollution event type, a rasterized urban area position and socialized media attributes as reconstruction guidance; Extracting an urban air pollution event identification index set from the socialized network media data;And finally, identifying the urban air pollution event in the socialized network media data according to the urban air pollution important monitoring index system. The urban air pollution event monitoring system solves the problem of lack of urban air pollution event monitoring technologies in the prior art.
Description
technical field [0001] The invention belongs to the technical field of social network media data analysis, and in particular relates to a method for identifying urban air pollution events in social network media data. Background technique [0002] Air quality refers to how good or bad the air is to which people, plants, animals and buildings are exposed. Human activities or natural processes make certain chemical substances, particles, biomass and other harmful substances enter the atmosphere, causing air pollution and deteriorating air quality. Studies in various countries in recent years have confirmed that air quality has a significant impact on human physical and mental health. The concentration of pollutants in the air has a significant positive correlation with the incidence and mortality of human respiratory diseases, heart disease and other diseases. There is also a potential link to disease onset. [0003] In order to solve the problem of urban air pollution and i...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/26G06K9/62
Inventor 雷蕾周亚东王煦焜付冉
Owner XIAN UNIV OF TECH