AIS big data-based marine transportation statistical system and statistical method thereof

Abstract

The invention discloses an AIS big data-based marine transportation statistical system and a statistical method thereof, and aims to form a specific basic database and a data analysis model through continuous data mining and experience accumulation on the basis of real-time and historical AIS data in combination with mining knowledge bases such as ship archives, port data and investigation and survey data under the assistance of online processing and finally automatically and regularly output statistical indexes such as ports, offshore channels and goods transportation volume, and dynamic information related to various commodities and ships, and support open type editing operation, visual interactive display and report export. According to the statistical system and the statistical method, an AIS big data platform oriented to sea transportation statistics is provided, a sea transportation statistics AIS big data mining analysis model is constructed, and a whole set of technical solutions of AIS data access, cleaning, storage management, mining analysis, index product generation and the like are formed; and a high-quality, timely and accurate marine transportation industry statistical index product can be provided for marine economic management.

Description

technical field [0001] The invention relates to the technical field of maritime big data management, in particular to a maritime statistical system and a statistical method based on AIS big data. Background technique [0002] The marine transportation industry is the basic industry and pillar industry of the marine economy. Most of the international trade is realized by sea. Shipping statistics are an important tool to provide information on the operation of the marine transportation industry. Development plays an important role. At present, as a departmental statistics in government statistics, maritime statistics adopts a comprehensive survey method and follows the process of statistical plan formulation, system design, survey collection, data sorting and reporting, data review, data analysis, and data release. Statistical indicators of its navigation, port operations, cargo transportation and foreign trade. Among them, the General Administration of Customs is responsibl...

AI Technical Summary

Problems solved by technology

[0003]The existing statistical methods and systems of maritime transport have not effectively used and played the role of big data technology, in the analysis and mining of maritime related data information, the development and use of statistical products There is a huge gap with the requirements of modern statistical work. In general, there are still problems such as slow data collection and processing speed, low data quality, lagging data release, and poor timeliness.

[0004](1) Inefficiency

[0005] There are many indicators required for maritime statistics, the amount of data is huge, the amount of data collection is large, and it takes a lot of manpower and material resources

Every time the data is submitted, grass-roots statisticians in various places must contact port enterprises and shipping logistics companies to fill in the reports in the reporting system, and then conduct data review level by level after filling in the reports. The national level needs to collect, summarize and review the data from all over the country. , in order to release data, the efficiency is low

[0006](2) Data quality is difficult to guarantee

[0007]The existing shipping statistical data needs the cooperation and participation of the respondents from production, collection, processing and release, and statisticians are required to collect data, process and analyze data, and there are many intermediate links. This will easily lead to human error. If the investigated port company or logistics company has a low degree of cooperation or refuses to report, omits, conceals, or misreports statistical data, or some grassroots statisticians have weak legal awareness and a weak sense of responsibility, resulting in the final There is a large gap between the aggregated data and the actual situation, so the quality of statistical data will be more difficult to guarantee

Man-made errors and wrong data sources will affect the quality of statistical data, and the statistical products and statistical information released by maritime statisticians through processing and analysis of these error data will deviate greatly from the actual situation, causing social Public doubts about shipping statistical data will also have an impact on the authority of my country's official shipping statistics

[0008](3) The release of data lags behind and the timeliness is not strong

However, raw materials, product prices, and material consumption in today's seaborne trade are all undergoing rapid and dynamic changes. and other aspects of application needs

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