Application Of Big Data Platform Research Articles

The application of big data platform in intelligent scheduling of tourism passenger flow based on time window

The application of big data platform in intelligent scheduling of tourism passenger flow based on time window

Research on the Path of Network Ideological and Political Education in Colleges and Universities under the Background of Big Data

Under the background of big data, the way and channels for people to obtain information have changed to some extent. The emergence of big data platforms not only expands the channels for people to obtain information, but also facilitates the way people obtain information and broadens people's horizons. The emergence of big data platforms brings new opportunities to the education industry, but also leads to greater new challenges for the development of the education industry. In the ideological and political education of colleges and universities, the application of big data platform can not only enrich the content of ideological and political education, but also reform the form of education, thereby improving the level of ideological and political education in colleges and universities. However, there are still many problems in the application of big data platform in education, which need to be paid attention to and improved in the process of application. From the background of big data, this paper conducts research on the importance of network ideological and political course education in colleges and universities, and tries to propose a path to optimize the quality of ideological and political education.

RETRACTED ARTICLE: Application of big data platform and embedded intelligent system in teaching assistant work of Jinke resources

This paper constructs a teaching resource sharing system based on big data platform technology, which provides a useful solution for the preservation and sharing of a large number of teaching resources at present and in the future, and accelerates the use of teaching resources and data, making accurate analysis and search become possible. While maintaining the stability of the system, we will improve the security and scalability of the big data platform system, and upgrade education and education informatization to a new level to support big data technology. This article details the software optimization of real-time embedded intelligent system based on non-volatile hybrid memory. This article introduces the main model and problem definition, the pulse-based distance accumulation (PBDA) algorithm proposed in the auxiliary case analysis and the detailed introduction of the auxiliary probability-based data allocation algorithm. The online golden course resources part of online and offline hybrid education, that is, the establishment of online public courses, has been recorded in schools at all levels, but there is no relatively complete warranty policy for offline golden course resources. The offline classroom teaching part is a particularly important part of the university’s mixed teaching, and this part is the embodiment of classroom teaching. The use of data can provide accurate decision-making for training, thereby providing teachers with personalized training and overall training support, and can more reasonably make teaching assistant work a demand of the times. However, the accumulation of data volume does not indicate the value of data. The current results are not satisfactory. One of the reasons is that data quality must be improved, and improving the quality of education data through data governance is one of the focuses of the education industry.

Urban smart transportation based on big data

Traffic congestion has become more and more serious in the last decade. Because of the backward transportation system, it is impossible to analyze the large amount of feedback data. At the present stage, the development trend of big data is gradually emerging, and traffic problems are taken as the starting point. Therefore, it is of great significance to study the methods of big data to improve traffic congestion. In this paper, the development status of intelligent transportation based on big data is mainly described. In combination with Hadoop technology, positioning data acquired by on-board terminals is taken as an example for analysis, and the driving radius and driving distance map are experimented. It is of great significance to study the application of big data platform based on Hadoop technology in the transportation industry. A large number of data resources and low-cost big data technology can be effectively utilized to promote the development of transportation, thus promoting social development and progress.

Discussion of the Key Technology and Application of Big Data Platform for New Energy Vehicles and V2X

With the development of the economy and social progress, China’s science and technology industry has made remarkable breakthroughs and progress. New energy vehicles began to appear in people’s lives and gain popularity, in which context, a big data platform about new energy vehicles and V2X (vehicle-to-everything) emerged. Meanwhile, the state regulation of new energy vehicles has been improved. Whether it is new energy vehicles or V2X, these are both products of the information era. The lack of experience in the past had left this unpredictable technology problem in the development process. With such a background, we need to conduct further analysis of the core technology of the big data platform and related applications, and the corresponding improvement approach needs to be put forward.

Development and Application of Big Data Platform for Garlic Industry Chain

In order to effectively solve the problems which affect the stable and healthy development of garlic industry, such as the uncertainty of the planting scale and production data, the influence factors of price fluctuation is difficult to be accurately analyzed, the difficult to predict the trend of price change, the uncertainty of the market concentration, and the difficulty of the short-term price prediction etc., the big data platform of the garlic industry chain has been developed. Combined with a variety of data acquisition technology, the information collection of influencing factors for garlic industry chain is realized. Based on the construction of the big data technology platform, the real-time synchronous acquisition, efficient storage and analysis of the planting, market, storage, processing, export and logistics information in five provinces and seven counties are realized. The application of the big data platform for garlic industry chain has realized the accurate acquisition of garlic planting area, the price and trend of market circulation and the information of export information, analyzed the fluctuation regulation of garlic price, and also realized the short-term precision prediction of garlic price.

Development and Application of Big Data Platform for “Bohai granary”

In order to effectively solve series of problems which affect grain production in implementation of the “Bohai granary” project, such as the wide varieties of factors (including soil fertility, soil salinity, pH, underground water level, water salinity, crop varieties and management etc.), the huge spatial and temporal variability, the difficulty of real-time information collection, the complexity of analysis and processing etc., a “Bohai granary” big data platform is developed. With the invention of “Shennong IOAT” series of sensing equipment, the acquisition of multi-site real-time synchronization field information is achieved. And by combining a variety of data collection methods, the collection of factors comprehensively affecting the grain production has been realized. Based on the Hadoop big data platform, it becomes a reality to store, analyze and apply the collected data efficiently. Through the big data platform, the precise management of grain production, the automatic warning of soil moisture content, the disaster and typical insect damage in crop growth, and the automatic control of typical link production are all achieved.