Big Data: Pushing Smart Cities to the Future

Big Data: Pushing Smart Cities to the Future

A large part of the research on big data comes from business intelligence analysis. With the development of IT technology, there are more and more ways for people to obtain information and data, and the original business analysis methods can no longer adapt to the changes brought about by the information explosion. Big data technology came into being. It can be said that big data is not only a data processing mode, but also an innovation of thinking mode, representing a completely different information data processing mode and thinking mode. This method has brought new changes to business intelligence analysis, getting rid of the previous analysis mode that only cares about causality, and bringing relatively vague but more predictive and instructive data relations such as correlation into business analysis.

Big data technology and concepts were born less than ten years ago, but they gradually matured with the development of smart cities. The builders of smart cities have found that big data technology and thinking are almost born for smart cities. The huge data source that big data technology relies on is a large number of different types of data information brought by the continuous deepening of informatization in the construction of smart cities. One of the goals of smart city construction is to realize the smart operation of the city, and big data can provide data analysis results that support smart operation.

In all fields of smart cities, I am afraid that big data analysis technology is the most widely used in urban traffic management. There are many factors that affect the overall situation of urban traffic. Weather, roads, vehicles, drivers, holidays and even oil prices and prices may directly or indirectly affect the traffic conditions of a city or an area. Intelligent transportation big data analysis has become the only way for many big cities at home and abroad to manage and regulate traffic conditions. Its significance lies not only in forecasting results and improving traffic conditions, but also in bringing a fresh way of thinking to decision makers: predicting the unknown future with the known present. With the popularity of intelligent transportation, big data also affects people's life and travel mode in all aspects. By uploading data, sharing data and sharing data processing results, the traffic situation can be predicted and forecasted, so as to better regulate and intervene the traffic situation and gradually improve and solve various traffic problems.

The author's Shanghai Internet Software Co., Ltd. recently established a joint laboratory for big data application research with Donghua University, and is currently studying the application of big data technology to comprehensively manage college students and provide corresponding services. This is a typical application of educational big data in smart education research in China. Based on the integration and unified storage of students' data, the comprehensive service and management of students are realized, and comprehensive analysis based on data information is provided, which provides cloud services for students' comprehensive management for colleges and universities at all levels and improves the overall management efficiency of the school. With the development of domestic universities in the direction of centralization, integration and all-discipline, super-large universities or comprehensive university parks appear constantly, and the number of college students is also increasing. A university or university town is basically a small city, and students' study, life, educational administration, daily management and other data and information naturally form a huge data set. Using big data technology to manage, analyze and operate educational resources is undoubtedly the realization of educational resources.

In addition, in the field of smart medical care, such as the diagnosis and treatment of some serious diseases, big data technology is also used for data analysis and prediction. Earlier, IT was reported that well-known IT companies and medical research institutions in China had joined hands to carry out research on genetic testing of esophageal cancer. The two sides cooperated to promote cancer research through big data and artificial intelligence, and found early diagnostic markers of esophageal cancer closely related to Chinese people, providing scientific basis for early screening and diagnosis and providing reference for drug research and development. In-depth medical research on major diseases such as cancer often requires genome-wide sequencing and comparison, and a large amount of data will be generated in the process. The storage, biological analysis and clinical correlation analysis of these data all require huge data storage and computing power. Big data technology stores, retrieves and intelligently analyzes such biological information, which is its advantage.

It can be seen that big data is a technology that adapts to all aspects and fields, and has unlimited potential in the construction of smart cities. The revolutionary application of data information brought by big data technology will promote the development and maturity of intelligent technologies including artificial intelligence. Looking forward to the future, based on the data analysis and prediction brought by big data and other technologies, smart cities may be able to operate and manage themselves without too many human intervention and monitoring. By then, smart cities will bring us not only the deepening of informatization, but also future cities that have entered the era of full intelligence and have independent thinking ability.

The above is what Bian Xiao shared for you about big data: pushing smart cities into the future. For more information, you can pay attention to the global ivy and share more dry goods.