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Paper代写:Collection and treatment of meteorological disaster information

2017-09-12 | 来源:51due教员组 | 类别:Paper代写范文

下面为大家整理一篇优秀的paper代写范文- Collection and treatment of meteorological disaster information,供大家参考学习,这篇论文讨论了气象灾害信息收集与处理。随着网络技术的不断发展,现如今利用网络舆情监测、云计算和大数据等技术,可实现全天24 小时不间断监测网络信息,并快速发现网络中的气象灾情信息,大大提高灾情获取的时效性,拓展了灾情收集渠道,及时获取第一手资料。可进一步提高气象灾害风险预警与评估的实时性和准确性。

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Through summarizing and analyzing the traditional method of reporting and collecting meteorological disasters, the paper finds that there are many sources of meteorological disaster information data collected by traditional methods, the data storage format, the standards are inconsistent, the data application is not standard, the update is not timely, and it is difficult to meet the demand of real-time meteorological disaster risk Therefore, this paper proposes a meteorological disaster information collection method based on network public opinion monitoring technology, which can further improve the timeliness and accuracy of meteorological disaster risk warning and assessment.

China is a meteorological disaster in many countries, the annual flood season is a rainy weather disaster, the weather disasters are mainly rainstorm, hail, gale, high temperature, typhoon, thunder and so on. Under the background of global warming, all kinds of extreme weather events are more frequent, and the loss and influence caused by meteorological disasters are increasing, so it is very important to do well the early warning and assessment of meteorological disaster risk to minimize the loss caused by disaster, to guarantee the economic and social development and the people's safety and welfare.

At present, meteorological disaster data mainly comes from Disaster Direct report, disaster survey, rainstorm and flood disaster Risk survey, Ministry of Civil Affairs disaster, highway traffic major meteorological disaster risk survey. Due to the relatively sparse construction of meteorological observation sites and the limitation of human resources, it is impossible to report the disaster information comprehensively and timely, which leads to the poor real-time and low accuracy of meteorological hazard warning and assessment.

With the growing of the Internet, the network has become an important source of all kinds of resource data. But the sheer volume of network data has also deterred people. With the continuous improvement of network technology, today, using the network of public opinion monitoring, cloud computing and large data technology, can realize the whole day to continuously monitor the network information, and quickly find the weather information in the network, greatly improve the timeliness of the disaster, expand the disaster collection channels, timely access to first-hand information. It can further improve the real-time and accuracy of meteorological disaster risk warning and assessment.

With the rapid development of Internet, network media, as a new form of information dissemination, has deepened people's daily life. Netizens have reached an unprecedented degree of activity, whether domestic or international major events, can immediately form online public opinion, through this network to express ideas, spread ideas, and then create a huge pressure of public opinion, to reach any department, institutions can not be ignored. It can be said that the Internet has become the distribution of ideological and cultural information and social media amplifiers.

"Network public opinion Monitoring System" is aimed at a certain social space, around the occurrence, development and change of intermediary social events, the people to social managers produced and held by the social and political attitude on the network expressed the desire to set the computer monitoring system collectively.

We can identify the hot topics in a given time period according to the authoritative degree of news source, the number of comments and the intensity of speaking time.

Analyze the point of view and gist of the information. To provide the basis for reference analysis. The basis of analysis can be based on the amount of information reproduced and the time intensity of comments. To judge the tendency of information development.

Subject tracking mainly refers to the topic of information tracking, and its tendency and trend analysis. The specific contents of the tracking include: information source, reprint quantity, reprint address, geographical distribution, information Publisher and other relevant information elements. It is based on the analysis of tendency and trend.

Ability to automatically extract document summary information based on the content of the document, which accurately represents the topic and central idea of the article. Users do not need to see all the content of the article, through the intelligent summary can quickly understand the gist of the article and the core content, improve user information utilization efficiency. And the intelligent summary can adjust the different lengths according to the user's requirement, satisfy different needs. Mainly includes the text information summary and the webpage information summary two aspects.

Monitor the distribution of vocabulary and time and trend analysis, including geographic information distribution. to provide periodic analysis. such as: information dissemination of regional distribution, reprint volume and the type of website reproduced.

There are only a few unexpected events: natural disasters, social disasters, wars, disturbances and occasional events. Internet Information monitoring and analysis system is mainly aimed at the Internet information to monitor and analyze the sudden event. The tendency analysis of hot spot information and the trend analysis to monitor the burst of information.

The alarm system is mainly aimed at analyzing the hot information and emergency of the public opinion analysis engine system, and then analyzing it according to the information corpus and the alarm data base. To ensure the healthy development of information.

According to the public opinion analysis engine processing result storehouse to generate the report, the user may browse through the browser, provides the information retrieval function, according to the specified condition to the hot topic, the tendency carries on the inquiry, and browses the information the concrete content, provides the decision support.

Public opinion warning is a kind of accurate network public opinion monitoring function which requires high timeliness and important degree. One is to meet the user to some of the important network events have occurred real-time monitoring, timely tracking the development of events, the other is to meet the user-related behavior information monitoring and early warning. Early warning methods are divided into three kinds: on-line balloon warning, SMS warning and mailbox warning. Monitoring early warning includes monitoring and early warning two processes, when the system monitors the public opinion information will be issued in a timely manner, so that the relevant personnel first time to master public opinion situation.

The use of public opinion monitoring technology, set up all kinds of meteorological disaster keywords, can complete the Internet disaster information extraction. The method should have the following characteristics

Can monitor search engines, news portals, forums, blogs, message boards, micro-bo, micro-letter, QQ Group, electronic newspaper, SNS carrier, Units home page. Provide general collection configuration, support most news, forum collection, and configurable URL, specify micro-BO, micro-credit account monitoring.

can be monitored regularly, can also be a round-the-clock monitoring, not miss every network disaster information, the first time to find the network meteorological disaster.

Intelligent extraction of effective disaster information in Web pages, such as: Occurrence time, place, impact, etc. It also automatically merges and automatically extracts the content of several Web pages with relevance.

Structured information extraction and data storage are carried out for unstructured Web page data collection to meet the multidimensional information mining and statistical needs, and to form a structured disaster information record.

can set up with meteorological disasters related keywords, such as heavy rain, gale, blizzard, etc., according to set the key words to monitor. can also achieve the automatic extraction of keyword function, according to the search for effective information, automatically associated with other keywords, and further enrich the meteorological disaster keywords.

Intelligent Analysis Network public opinion dissemination way, and through the reverse resolution technology to resolve the URL corresponding to the site name. So that the entire supervisory platform can effectively realize the "discovery of the source of communication, tracking the content of communication, monitoring the subject of communication," through this function to find the main meteorological disaster media.

In order to facilitate the application of network meteorological disaster information, the rationality of network meteorological disaster database design is very important. The design principles in this paper are as follows.

In order to make full use of the original meteorological disaster database (such as the disaster Direct Reporting database), the article refers to the "National meteorological disaster collection and escalation technical specification" Set the database field, its database field properties are consistent with the basic.

According to the location of disaster, this article divides the disaster information into two kinds: the face disaster and the point shape disaster. The so-called face disaster, refers to the location of the disaster is specific to a city or county, the scope of a rough, and point-like disaster, refers to the location of disasters specific to a village or a street, the scope is more accurate.

According to the location of disaster, the information of longitude and latitude is added for each disaster.

According to different types of disasters, the corresponding meteorological elements are matched for each disaster information. This facilitates the efficient use of meteorological disaster data in later period.

The disaster information collected in the network is stored in accordance with the above principles, and the information sharing is formed to provide real-time access for the meteorological Disaster risk warning and assessment business platform.

Using the network to search, the results are accurate or not, to a large extent related to the keywords set. Too many keywords set, the more accurate the information, but also may lose too much useful information, set the keywords too little, get redundant information too much, but also increase the screening work. How to get the right keywords is the key technology in this paper.

This article mainly uses the human-computer interaction method to perfect the key word management function, the early stage to the artificial search disaster related information, carries on the collation analysis, the statistics describes the disaster use vocabulary frequency. The vocabulary with higher frequencies is set as the initial keywords; the late system according to the initial keywords, find relevant information, automatic statistics high-frequency vocabulary, add, to achieve the gradual improvement of key words.

According to the occurrence time for each disaster information to match its related meteorological information. Through the automatic transfer of meteorological database, including a file, z files, encrypted automatic station data, radar data and meteorological satellite cloud images, through interpolation, radar inversion and other methods to obtain the disaster occurred in the nearest and closest meteorological data, A combination of automatic and artificial method is used to add the characteristic value of meteorological factors that produce meteorological disaster to each disaster record information.

Through the matching of meteorological elements factual data to eliminate errors, mark the information record of suspicious disaster. Comparing the factual data of meteorological elements with the information of the disaster information, it is necessary to delete the actual data and the impact of the disaster.

From the civil affairs, statistics, Water conservancy, agriculture, transportation and other related departments, meteorological disaster ceremony, newspapers and media to obtain the disaster and the impact of data again to realize the screening of meteorological disaster information, to ensure that the disaster information is legitimate and reliable.

The rapid collection and sharing of meteorological disasters is very important for the monitoring, forecasting and service of the disastrous weather. The method of collecting meteorological disaster information based on network public opinion monitoring technology can effectively solve the disadvantage of low coverage density when the existing disaster collection methods are not reported. It can realize the rapid sharing of disaster, improve the timeliness and accuracy of meteorological hazard early warning, strengthen the ability of meteorological forecast service and calamity disaster analysis, and also have strong guiding significance for the application of disaster disasters at all levels.

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