Journal of Agricultural Big Data ›› 2021, Vol. 3 ›› Issue (3): 45-54.doi: 10.19788/j.issn.2096-6369.210305

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Construction and Application of a Comprehensive Management Service Platform for Fishing Vessels and Fishing Ports

Muhan Xue1(), Shuo Xu1,2(), Feng Lu1,2(), Yong Zhu1, Jianguang Wu1, Yigang Wang1   

  1. 1. Institute of Fisheries Engineering, Chinese Academy of Fishery Sciences, Beijing 100141, China
    2. Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266237, China
  • Received:2021-04-10 Online:2021-09-26 Published:2021-12-22
  • Contact: Shuo Xu,Feng Lu;;


The tracking data of fishing vessels and fishing ports are basic data needed for the management and operational maintenance of businesses related to these entities. These data have wide scientific applications and can add value to the dynamic supervision of fishing vessels, the operation and management of fishing ports, crew management, safety in the fish production chain, catch traceability, and the construction of ‘intelligent’ fishing ports. The integration, sharing, and exchange of such data resources are of great worth for comprehensive fisheries reform and to enhance the capacity of the vessels and ports. A popularized and comprehensively applied shared information system for fishing vessels and the ports that support fishing vessels would provide more abundant data for scientific fisheries management and research. Presently, there is scattered construction and deployment of information systems for fishing vessels and fishing ports, a lack of business collaboration and data docking among the existing systems, no capacity for data sharing among fishing vessels, and failure to maximize the value of the data collected. Based on the integration and allocation of the information resources of fishing vessels and fishing ports and the demand for joint command of safety in fishery production, this study considered the methods currently used for data classification, sharing standards, interaction modes, and model construction. Thereafter, the structure of these data resources, shared metadata standards, and interaction patterns were examined. The study provides a standardized basis for describing the features of specific data sets and for realizing data resource sharing by fishing vessels and fishing ports, as well as the exchange mode of each link; formulates a safe and stable information transmission mode; and improves the levels of information technology applications for fishing vessels and fishing ports. Finally, the study proposes an information interaction model for fishing vessels and fishing ports. This research reveals the high potential value of the data resources of fishing vessels and fishing ports, and introduces technical specifications of data-sharing standards and information interaction modes. In addition, the application and promotion of this model is planned.

Key words: fishing vessels and fishing ports, data classification, data sharing, information interaction, model building, big data in fishery

CLC Number: 

  • G203