Project Design on the Monitoring and Early-Warning of Pork Market in Beijing Based on Multi-Source Data Integration

Abstract:

The fluctuation of pork price has been the center of attention among residents in both suburban and urban Beijing. This study is based upon building a monitoring and early-warning system of pork market in Beijing, and is conducted through the following three aspects: (1) Study of the risk factors of the price fluctuations in Beijing pork market. The study will determine what the “risk factors” for the fluctuations are, through looking into the price fluctuations pattern within the past twenty years in Beijing’s pork market, as well as the influential factors for the pattern in both short term and long term. (2) Gathering multi-source data of pork supply and demand, and study of the integration technology. By gathering monitored data through multi-source collecting market, production and quarantine, the study gathers and organizes the collected data, and integrates the data into a collective multi-source data. (3) Building an early-warning model in the pork market in Beijing and visualized research. By using the early-warning theory method, the study builds an indicator system consisting of leading indicator, concurrent indicator and lagging indicator, and thus builds an early-warning system, calculates early-warning index, compares early-warning lines, determining an early-warning alarm, and realizing visualization through B/S structure as well as embedded development. The study intends to achieve three innovative goals: Revealing the price fluctuations pattern of the pork market in Beijing, and the risk factors in the market; building a real-time information monitoring place, and thus achieving the integration of multi-source data of the pork markets; building an early-warning indication system of Beijing’s pork market, and achieving the simulation as well as displaying of the early-warning index. This study has important meanings on guiding the pork production and consumption in Beijing.

• Periodical: Applied Mechanics and Materials (Volumes 672-674)
• Pages: 1958-1963
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.672-674.1958
• Online since: October 2014
• Authors: Fan Tao Kong, Shi Wei Xu*, Ke Xu, Chen Shen
• Keywords: Early-Warning, Information Analysis, Monitoring, Multi-Source Data, Pork Market, Risk Factor

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