To solve the problems in configuration network including compatibility of lower computer, data sharing and simplicity of presentation at client, a data acquisition model with king view supported by middleware was proposed. Based on configuration software with strong network connection and second development characteristic, taking general king view software as an example, the model was deeply analyzed with the theory of configuration software, the communication middleware was combined with the communication protocol, the device information and variable information of king view were defined, the display interface of king view was drawn, and the availability for the model was verified at last. The verification results show that, compared to the traditional configuration network model, the proposed model promotes the expandability and compatibility of configuration network data acquisition model, and it can be used for data sharing and variety show at client, and further accelerates the fusion of configuration and Internet of Things (IoT) technology.

For implementing dynamic aggregation of dispersive Geography Markup Language (GML) geospatial data, a aggregation mapping model based on GeoRSS standards was proposed considering the openness, self-description and dispersion characteristics of GML. A four-tier integrating framework of prototype architechture and its workflow were generated to utilize the above model to construct the related program. Then a aggregation prototype system was designed and developed for aggregating dispersive GML spatial data according to the system architechture. Based on this prototype system, the related experiments were performed to verify the feasibility of GML geospatial data aggregation, and confirm the correctness and availablity of the model. This prototype can help users to quikly find the GML geospatial data from the massive Geographic Information System (GIS) data, to achieve selection, analysis and classification of the existing data, as well as the instant updating and aggregating integration.