Research on Collecting Real-Time Information on Dynamic Web Pages of Internet of Things
Yinghui Kong, Danfeng Shen · 2013
Currently, Internet of Things (IOT) is used more and more widely. IOT contains mass entities. These entities are always filled with new states. To achieve the intelligent control of IOT, we must search and analyze the real-time information of the massive entities. So we can get useful information from these real-time status data returned from the massive entities. But the access to the real-time real-world entities information of IOT is a prerequisite for all these work. To meet the demand of collecting real-time changing information for real-world entities, we present two real-time information collecting methods for IOT. They realize the real-time crawling separately though push and pull of the dynamic information on the web pages of IOT. Experiments show that the two methods are both of good stability and high real-time. They both can realize the real-time dynamic data crawling without any missing.