Research On Quality Assurance Method Of Internet Of Things Oriented To Location Service

In recent years, with the rapid development of the radio frequency communication, integrated circuit and mobile communication technology, RFID technology has been widely used in the field of the Internet of things for location-based service, such as supply chain management, intelligent traffic monitoring, intelligent scene monitoring, et al. But because of the inherent uncertainty of the original RFID data and its massive property, there be badly in need of a kind of effective method to clean the uncertainty data of RFID data stream, to ensure the consistency of the data model and data instance of the information system.Data is the foundation of the application. Taking the RFID data as research object, this paper analyzes the temporal and spatial characteristics of RFID data. Firstly, this paper introduces the data cleaning algorithm based on sliding window, but its time and space efficiency is poor. Then this paper proposes the modified data cleaning algorithm that use list to store data, it increases the efficiency of time and space, and it outputs the tag’s sojourn time in the monitoring range of the reader. In terms of approximate redundant data filtering, based on Bloom Filter, this paper proposes a modified temporal-spatial Bloom Filter algorithm to remove these redundant data; it can use limited memory to deal with a great quantity of RFID data in one pass. Compared to the traditional Bloom Filter, although this approach uses integer array to replace bit array that causes the increase of the memory space consumption, its space utilization is still good, In the meantime, this method solves the traditional Bloom Filter’s problem that it can’t deal with mass of data flow in real time. This approach also removes the false positive error and selects the appropriate parameter to minimize the false negative error. Secondly, as for quality estimation, this paper studies the quality properties of RFID data stream, and based on the modular design of the ESP framework, this paper proposes the quality assurance framework; it can accurately estimate the confidence and coverage properties of the RFID data stream. Finally, the experiment verified the efficiency of the RFID data cleaning algorithm and the data quality assurance framework.