Taking the East China Sea fishing area (24 ° N-36 ° N) as the demonstration area, on the basis of solving the key technical systems such as marine fishery remote sensing information extraction, comprehensive database management, marine fishery data comprehensive analysis, and central fishing ground speed prediction, a marine fishery remote sensing and GIS technology application service system with independent intellectual property rights can be established. Carry out fishery and sea situation quick report, fishery resource assessment and "fishery administration" auxiliary management; Provide auxiliary decision-making information and decision-making schemes for the production command and management of marine fisheries, international fisheries negotiations and international fisheries co management.

Expert system for prediction of marine fishery resources Fisher

The intelligent prediction technology of central fishing ground based on case-based reasoning has no perfect mathematical model for the prediction of spatial-temporal dynamic changes of central fishing ground, and the available domain knowledge is difficult to regularize, and there are many exceptional rules, so the use of traditional expert system technology is not applicable. The case-based reasoning (CBR) artificial intelligence technology is introduced into the central fishing ground prediction. Based on the core technologies such as human-computer interactive acquisition and generation of the central fishing ground case, the central fishing ground similarity measurement index system, the central fishing ground multi strategy similarity retrieval and the central fishing ground prediction correction expert rules, the central fishing ground prediction intelligent system is developed.

    Evaluation technology of marine fishery resources based on professional model base and expert system on the basis of solving technical problems such as model addition and modification, this project has developed model bases and corresponding model base system management software, including actual population analysis model, shaefer-fox residual yield model, Beverton-Holt comprehensive model, shaefer-fox residual yield variant model with environmental parameters and grey model, with model operation, increase Delete, modify, model dictionary navigation, database dynamic access, result visualization and other functions. At the same time, object-oriented knowledge representation method and object-oriented reasoning mechanism are used to develop special reasoning control ICL script language, and the method of combining preset text library and path tracking is used to realize the interpretation mechanism of reasoning machine. An expert system for automatic fitting and selection of resource evaluation models based on rules is developed, so that the system can automatically select the appropriate evaluation model according to the existing data of users, so that general technicians can carry out engineering operations.

Analysis of spatial distribution characteristics of marine fishery resources based on the in-depth study of the variation function theory of geostatistics to analyze the variation characteristics of spatial distribution of marine fishery resources, this project designs and develops the software of spatial distribution characteristics of marine fishery resources, which has the functions of statistical characteristics analysis of spatial data, spatial variability analysis, spatial valuation and so on.

Three dimensional data analysis of marine fishery based on four level vectorized octree hierarchy according to the three-dimensional and fuzzy characteristics of marine fishery data, a four level vectorized octree hierarchy three-dimensional data expression is proposed. On this basis, three-dimensional statistics, three-dimensional query, three-dimensional arbitrary section cutting, three-dimensional neighborhood analysis, three-dimensional boundary detection, three-dimensional connectivity analysis, three-dimensional buffer analysis, three-dimensional superposition analysis and other algorithms are deeply studied, and the software prototype is developed.