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A Big Data-Based Precipitation Distribution and Dynamic Measurement Method for Mobile Communication Networks

A mobile communication network and dynamic measurement technology, applied in the field of precipitation distribution and dynamic measurement of mobile communication networks based on big data, can solve the problems of full mining of massive data and applications that have not yet been deployed, and achieve wide coverage, low hardware costs, and blind spots. less effect

Active Publication Date: 2017-04-05
PLA UNIV OF SCI & TECH
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  • Abstract
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  • Application Information

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Problems solved by technology

At present, mobile terminals have spread all over the cities and villages, and the communication links between mobile terminals and base stations contain a wealth of meteorological information, but the full mining and application of these massive data has not yet begun.

Method used

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  • A Big Data-Based Precipitation Distribution and Dynamic Measurement Method for Mobile Communication Networks
  • A Big Data-Based Precipitation Distribution and Dynamic Measurement Method for Mobile Communication Networks
  • A Big Data-Based Precipitation Distribution and Dynamic Measurement Method for Mobile Communication Networks

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Embodiment Construction

[0026] Such as figure 1 The big data-based mobile communication network precipitation distribution and dynamic measurement system shown mainly includes a mobile terminal signal acquisition unit, a professional precipitation data acquisition unit, a data acquisition and processing unit, and a public information service unit. Working diagram as figure 2 shown. The mobile terminal signal acquisition unit collects the signal strength information of all mobile terminals in real time, and transmits it to the data acquisition and processing unit through the mobile Internet; the professional precipitation data acquisition unit collects the rainfall intensity of the rain gauge and the radar reflectivity factor of the weather radar in real time in meteorological services , Inversion of rain intensity and other information, and synchronously transmitted to the data acquisition and processing unit through the Internet; the data acquisition and processing unit adopts big data processing ...

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Abstract

The invention relates to a rainfall distribution and dynamic measurement method based on a big-data mobile communication network. The method comprises the following steps: (1) constructing a central server which is connected with a mobile terminal base station and establishing a data communication link among mobile terminals, base stations and the central server; (2) collecting transmitting power of the base stations and power, received by the base stations, of corresponding mobile terminals in real time; (3) establishing one-to-one correspondence relationships between the mobile terminals and some base stations and calculating the path attenuation of the communication link between each mobile terminal and the base station; (4) by taking the transmitting power of the base stations as a reference, calculating attenuation of signals of the mobile terminals caused by non-meteorological factors such as free space propagation loss, buildings, vegetation, unset obstacles and the like; obtaining rain-induced attenuation values of mobile terminal signals in unit distance; establishing correlative relationships between the signal attenuation characteristic of the mobile terminals and rainfall intensity distribution; carrying out fusion analysis with professional meteorological data such as a rain gauge, weather radar and the like to obtain areal distribution of rainfall and dynamic changes of rainfall.

Description

technical field [0001] The invention relates to a big data-based mobile communication network precipitation distribution and dynamic measurement method, which is mainly used in automatic weather detection. Background technique [0002] The abnormal temporal and spatial distribution of precipitation is an important factor that causes natural disasters such as floods, landslides, and debris flows. The direct economic losses caused by floods in my country exceed 100 billion yuan each year, and the average affected population exceeds 120 million people. Although rain gauges, weather radars, meteorological satellites and other precipitation measurement methods have been widely used, precipitation has extremely complex temporal and spatial changes in key areas such as cities and mountainous areas, and the distribution of rain gauge stations is uneven. It is still difficult to monitor the fine temporal and spatial changes of precipitation; the weather radar can only measure part of...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01W1/00
CPCG01W1/00Y02A90/10
Inventor 高太长刘磊刘西川印敏赵世军李浩
Owner PLA UNIV OF SCI & TECH
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