Method for rapidly collecting geographic information data in online collaboration mode in large field area

Abstract

The invention provides a method for rapidly collecting geographic information data in an online collaboration mode in a large field area. The method meets the requirement for collecting information in a wide area and comprises the steps of (1) task assignment: carrying out monitoring to find the change of land features, updating content and indexes according to elements, carrying out summarization and arrangement to form a new task list and starting a rapid field collection system; (2) task execution; (3) data uploading; (4) check processing. The method for rapidly collecting the geographic information data in the online collaboration mode in the large field area has the advantages of integrated dispatching management, distributed collaborative operation, online data transmission, one-stop quality testing and library building and the like, thereby being capable of improving the geographic information data collection efficiency of various industries and sectors of China effectively, shortening the updating period of the geographic information data greatly and playing a positive role in rapid collection and updating of geographic information and rapid monitoring of geographical conditions.

Description

technical field [0001] The invention relates to a geographic information data collection method, in particular to a field rapid collection method of online collaborative geographic information data in a large area. Background technique [0002] At present, my country's geographic information data collection is mainly carried out through comprehensive judgment and adjustment, which generally includes technical processes such as internal industry preprocessing - field mapping - internal industry integration. This kind of production mode and technical method highlights the shortcomings of many production links and long update cycles, and it is difficult to meet the needs of rapid information collection or real-time update on demand. The main manifestations are: [0003] 1. Production scheduling in a large area is difficult, and precise positioning of tasks cannot be achieved. In the process of data collection in a large area, in order to ensure the progress of the entire proje...

AI Technical Summary

Problems solved by technology

Due to the lack of unified dynamic scheduling management, it is impossible to accurately locate the changes of ground and object elements. Therefore, the task allocation and personnel scheduling of data production generally adopt the strategy of manual contracting in large areas, and each field working group undertakes a full set of internal and external operations. The process not only causes a lot of repetitive work, but also has a long operation cycle due to numerous procedures, and the update response to element changes is slow. It often takes several months from the assignment of tasks to the submission of results, which is time-consuming and labor-intensive and inefficient

[0004] 2. The collection operation units are scattered and isolated, and it is impossible to establish a collaborative operation and supervision and management mechanism

Temporary auxiliary materials needed by operators in the field cannot be obtained online, and the collected information cannot be quickly reflected in the database

Due to the limitation of online data transmi

Images