(4) Polymorphic data organization module
Geographical entities can realize the expression
of different historical time and different spatial forms
with the unique identifier as the link. The stored
geographic entity vector, image, 3D model data and
other spatial form data are associated and organized
by unique identification code, forming the
comprehensive structural data that can find all data
forms. The data generated in the whole life cycle of
geographical entities from generation to loss is
temporally managed.
(5) Data visualization and spatial analysis
module
The target resource directory can be quickly
located based on the search, and the target
geographic entity is highlighted in the view area.
Then click on it, in two-dimensional visualization
interface display. At the same time, the scene data,
such as DOM, TDOM, DEM, DSM and so on, can
be queried and browsed, and can also be retrieved
according to the specified spatial range. Geographic
entity attribute information and knowledge graph
information can be queried in the visual view area.
Common spatial analysis functions such as spatial
measurement, overlay analysis, and spatial statistical
analysis can be performed.
(6) On-demand assembly and product derivation
modules
The package assembly can be realized according
to the themes of natural resources, transportation,
water conservancy, civil affairs and other industries,
as well as the themes of education, medical care and
health. Also, the custom assembly can be realized by
filtering according to the scope of interest, the
address of interest place name or even semantic
conditions. At the same time, terrain-level, city-level
and component-level 3D products can be derived.
Traditional topographic map products and national
and provincial fundamental geographic entity
products also can be derived through stepless
mapping technology to achieve the goal that a
geographic entity is only measured once.
(7) Collaborative update module
Through image change discovery and internet
change discovery technology, the geographic entity
targets to be updated is acquired, and the update
collection is completed by means of the
crowdsourcing software system. Before updating the
entity, it is necessary to determine whether it is
spatial information update or semantic information
update. For the newly added geographic entity, the
geographic entity needs to be initially encoded and
then stored; For the updated and modified
geographic entities, it is necessary to find the
original geographic entity in the database, record its
demise time, and then encode the updated
geographic entity to ensure that it is not repeated
with the data encoding in the entity library, and then
store the updated geographic entity.
(8) Knowledge graph construction module
Using the ID card code as the unique identifier of
the geographic entity, the data association is
established through batch construction or
human-computer interaction based on spatial
relationships, generic relationships, and temporal
relationships. Then, the geographic entity big data
relationship graph is constructed and stored in the
database. Search Interest Knowledge graph of
geographic entities, you can flexibly click on the
geographic entities on the map, linkage in the view
highlights and query the relevant attribute
information.
(9) Security operation and maintenance module
Users can be added, enabled, disabled, deleted by
the system administrator, and different user types
and functional permissions can be set. At the same
time, it can set and manage the scope, content and
usage time of users ' browsing and editing data. It
supports task flow operation log and operation and
maintenance monitoring log, and supports log query
and export, which can be used as the basis and
evidence for system security review. Full backup and
incremental backup of database system can be
carried out to deal with data loss caused by various
accidents. Also, the monitoring, management and
self-repairing of all software and hardware
information in the distributed cluster system can be
realized through the unified interface.
6 CONCLUSION
The geographic entity database of 3D real scene
about Xi'an city is an important part of the national
new fundamental surveying & mapping Xi'an pilot
construction. Closely around the building
requirements of the Ministry of Natural Resources,
the scientific management of geographic entity data,
efficient update, knowledge map construction, etc.
have been explored, and ultimately achieve ' one
library multi-functional, on-demand assembly ' goal.
This Study will help the transformation and
upgrading of fundamental surveying & mapping in