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Research On Geographic Attribute Data Acquisition System Based On Human-Computer Interaction

Posted on:2021-03-05Degree:MasterType:Thesis
Country:ChinaCandidate:C F JingFull Text:PDF
GTID:2428330611970980Subject:Surveying and mapping engineering
Abstract/Summary:PDF Full Text Request
Attribute data collection and management is an important content of GIS construction,while conventional attribute survey and attribute data entry are very cumbersome and error-prone.Aiming at this problem,the system was designed in this paper which depended on the WeChat applet.The system mainly uses speech recognition technology and image recognition technology to complete attribute data collection,so that the system can replace the investigator and the object under investigation to complete the attribute data collection,in order to solve the problem of complexity and error-prone in attribute investigation and attribute data entry.The main research content of this paper includes the following aspects:(1)Analyzing and summarizing the specific process of field investigation and the needs of field personnel in the actual survey.Combining the attribute data collection system with the current survey status to make the functional requirements of the attribute data collection system and business processes be clear.(2)Problem oriented,researching the traditional attribute data collection methods and the existing electronic survey methods.According to the existing problem,I proposed new improvement methods,designed a portable mobile terminal,and used human-computer interaction to realize non-professionals.Consequently,it can complete professional surveys which improves work efficiency.(3)According to the current investigation process,a general investigation process is designed,which simplifies the investigation steps,selects the appropriate database to design the data format and store the attribute data.(4)Non-professional users are the main users of this system for user analysis,and a simple and easy-to-use attribute data collection system is designed.Non-professional users conduct attribute data collection according to the intelligent guidance of the system.After the completion of the attribute data collection,manual verification is performed in the background,and the manual verification can be stored in the database.
Keywords/Search Tags:Attribute data collection, Human-machine dialogue, Speech recognition, Image recognition, WeChat applet
PDF Full Text Request
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