Construction of intelligent fish information sharing platform
LI Ran,YANG Yuting,ZHANG Zhiqiang,LIU Ying*,HUANG Jianlong,LI Haomiao
1.College of Information Engineering,Dalian Ocean University,Dalian 116023,China;2.Key Laboratory of Environment Controlled Aquaculture(Dalian Ocean University)，Ministry of Education,Dalian 116023,China;3.College of Biosystems Engineering and Food Science,Zhejiang University,Hangzhou 310058,China
Abstract: In order to build an intelligent fish information sharing platform and to realize efficient and accurate retrieval of fish information,according to the characteristics of large amount of information and high concurrency of fish database,an intelligent fish information sharing platform is developed based on MongoDB.In the platform database 16 tables are designed,covering a variety of information such as fish name,ecology and morphology.The picture fish recognition is realized using the Java integrated framework of SpringBoot structure,and by integrating artificial intelligence fish recognition module,and convolution neural network.The management of loose data structure is realized by using the binaryjson of MongoDB,the mongotemplate service of spring is used for the database operation of MongoDB,and the network deployment is completed by using the cloud server platform provided by Alibaba cloud,as well as the combination of nginx reverse proxy and Tomcat server built in SpringBoot.The results showed that the database design realized the scientificity,traceability and practicability of fish information,reducing the coupling degree of the architecture and improving the maintainability of the program.The accuracy of fish identification by pictures was 92.67%.The system realizes the requirements of massive data storage and high concurrent access.The intelligent fish information sharing platform constructed in this study can provide a variety of retrieval entries based on compendium,region,morphology,fishing season,and presence or absence of scales.Users can query or identify the relevant information of the fish by uploading the text and picture of the fish.The detailed information of the fish can also be searched in the map according to the location of the fish,which meets the diversified retrieval needs.The platform information is open to realize the sharing of high-quality fish resources.The finding shows that the intelligent fish information sharing platform constructed in this study can effectively solve the problems of massive fish data storage and conveniently and effectively access the rich information.
李然, 杨玉婷, 张志强, 刘鹰, 黄健隆, 李浩淼. 智能鱼类信息共享平台的构建[J]. 大连海洋大学学报, 2022, 37(3): 497-504.
LI Ran, YANG Yuting, ZHANG Zhiqiang, LIU Ying, HUANG Jianlong, LI Haomiao. Construction of intelligent fish information sharing platform. Journal of Dalian Ocean University, 2022, 37(3): 497-504.
2022, Vol. 37 
