The appropriate monitoring equipments are installed in the pond farms surveillance areas. The monitoring
equipment will collect data and transmit them over the network to the server. After the server gets the data, it
distributes them so that each client can use the monitoring data for operation. Monitoring can take many
forms such as auto-sensing monitoring, manual monitoring, and video surveillance and so on. According to
the different monitoring requirements, those forms can make different combinations.
Spatial data information management is not only an important function of WebGIS, but also the basis of
solving practical problems via our spatial analysis and expert analysis. The data management system
comprises the design of a spatial database structure and management method based on certain structural basis.
Building the system spatial database edited and stored the data in accordance with the layers, the same as
dividing the ground objectives in accordance with the different classes, such as the type of pond culture, roads,
water systems, administrative divisions, and class. Different categories are edited and stored as a layer in the
database (expressed as a relational table). [5] The spatial database of the system uses ArcSDE as the spatial
data engine and Oracle10g storage to manage spatial data.
The key technology of system is the organic combination and integration of the technique of expert system,
WebGIS technology and database technology.
First, the system will combine the expert system knowledge database and spatial database of WebGIS in
the form of pond water environment information database, unified stored in the system database. With the
establishment of standard data attributes and the range of values, the system can monitor early warning
management of disaster more accurately and efficiently. The monitoring mechanism of expert system
knowledge base, database GIS and pond farming utilize information database as the data source.
Second, through the construction of knowledge base, preserve different types of pond aquaculture
environment information and management standards; expand the GIS spatial database, which evolved into the
pond aquaculture information database, to store the pond aquaculture management first-hand data and data
within the scope of certain time. The formation of good complementarities contributes to the monitoring
mechanism to access complete data resources.
Third, based on analysis of water quality model, the system uses a dynamic monitoring model of
aquaculture ponds. The model refers to the spatial data, the static and dynamic monitoring model of pond
aquaculture pond survey data combination. According to the comparison of the different patterns of pond