Research On Application Of Object Grid Coding Services In The Environment Of Internet Of Things

With the rapid development of the Internet of Things and communications technology,people's comprehensive demand for location services is becoming more diverse and complex.Applications related to geographic location information have expanded from the traditional areas of defense construction and economic construction to mass public service,personal location information services and location-based recommendation services.However,the problem of inconsistent description of location information and complex transformation of location information in existing Io T systems makes the management,processing and application of Io T massive data a huge challenge.Geographic gridded coding technology is one of the core technologies of the Internet of Things gridded coding service,which provides a unified grid segmentation system for object location information description and improves the interoperability and indexing efficiency of location data.In response to this,this paper conducts an applied research on object meshing coding services for Io T environments,with the following main lines of research.(1)An object meshing coding service framework for Io T environment is built using REST software architecture style.Design and implementation of Geo Hash,OLC(Open Location Code),Geo SOT three grid-based encoding services,and encoding services,decoding services,and algebraic operations encapsulated into RESTful API for external use.The automatic generation of object service data grid codes provides a unified spatial reference for Io T data and a basic support for comprehensive open Io T applications.(2)Based on the object meshing encoding service framework,further research on the Geo Hash-based object meshing three-dimensional spatial encoding method is proposed,and the Hilbert-Geo Hash-based spatial encoding method is proposed.The method gives a conversion algorithm for converting the Z-value of spatial coordinate point P to H-value using cross-coding of latitude and longitude and elevation values.The method takes advantage of the good clustering of Hilbert curves to improve the mutagenicity of spatial location encoding in Geo Hash geocoding,and the large granularity of precision at the encoding level.(3)Apply the method of object meshing coding service to GPS trajectory clustering: first,use the Hilbert-Geo Hash coding method to encode and de-weight GPS trajectory data;second,translate the distance calculation between coordinate points in the trajectory similarity measure into the similarity calculation of the trajectory point encoded string,so as to realize the trajectory clustering of GPS data.Comparative experiments on the Geo Life dataset show that after Hilbert-Geo Hash coding deweighting,the average number of trajectory points is reduced to 37.1% of the original number and the dataset size is greatly reduced;at the same time,calculating the similarity of trajectory data coding strings based on the longest common subseries algorithm can effectively reduce the processing time of trajectory clustering and reduce computational resources consumption.