Application cases in big data
In healthcare, New York's mountsinai hospital uses data from thousands of patients, data from reported flu outbreaks over the years, and other data to cross-reference with the virus' mutation process. Through this kind of work, scientists and doctors can predict how viruses spread and the best ways to fight them; it's even possible to use predictive analytics to determine how a virus spreads and then take action to limit that spread. The hospital is said to be on track to stop the flu in the future.
In terms of transportation, a city in Zhejiang has partnered with Intel to install 1,000 digital surveillance devices, 100 intelligent monitoring point systems, more than 300 checkpoint electronic police, and more than 500 video surveillance systems. This improves traffic flow and reduces road traffic accidents through more effective monitoring of traffic and congestion data.
In terms of waste disposal, the Manchester Waste Disposal Authority (MWDA) in the UK has a system that uses data to make sure that as much of the waste produced is reused as possible. By weighing trucks from different areas as they enter and leave the plant, it is possible to see how much waste is produced in each area. This data has helped authorities to put in place policies that encourage better recycling and waste reduction in those particular neighborhoods.
In construction, housing charity hact collects data from 400,000 homes on an ongoing basis and carries out a variety of data analysis. The data is used to identify potential problems in design, construction and layout, and then to optimize the relevant parameters when constructing new buildings to avoid these problems, to improve the maintenance of government-guaranteed housing, and to plan for the rational use of space.
Intelligent application services, Google provides big data analytics intelligent applications including customer sentiment analysis, transaction risk (fraud analysis), product recommendations, message routing, diagnostics, customer churn prediction, legal copy categorization, e-mail content filtering, political tendency prediction, species identification and many other aspects. Big Data is said to have brought Google $23 million in revenue per day. For example, some typical applications are as follows:
(1) Based on Map Reduce, Google's traditional applications include data storage, data analytics, log analysis, search quality, and other data analytics applications.
(2) Based on the Dremel system, Google launched its powerful data analytics software and service - BigQuery, which is also part of the Internet retrieval service used by Google itself.Google has begun to sell online data analytics services in an attempt to compete with the marketplace similar to Amazon Web Services ( Amazon Web Services), an enterprise cloud computing service. The service, which helps business users scan trillions of bytes in seconds.
(3) based on the search statistics algorithm, Google launched a search engine input and write error correction, statistical machine translation and other services.
(4) Google's trend graph application. Through the user's attention to the search term, it quickly understands what is hot in the society. For advertisers, its business value is to quickly know what users are concerned about now and where they should put an advertisement. Accordingly, Google has also developed some big data products, such as "Brand Lift in Adwords" and "Active GRP", to help advertisers analyze and evaluate the efficiency of their advertising campaigns.
(5) Google Instant: The process of typing in keywords, Google
Instant predicts possible search results as you type.
Google's big data platform architecture is still evolving, chasing after the goal of larger data sets, faster and more accurate analysis and computation. This will further lead the way in the development of big data technology.
In terms of campaigning, it wasn't until 2012 that Obama's data team did big data mining on tens of millions of voter emails, accurately predicting the types of voters more likely to embrace Obama and conducting targeted campaigns, thus helping Obama become the only president in U.S. history to achieve reelection while being at a disadvantage in terms of campaign funding. With enough data, in a timely manner, and digging deep enough, it is possible to gain insight into each voter's chances of voting.
In education, "based on the maturity of integrated technologies such as the Internet of Things and cloud computing, valuable data is mined from student management databases, and after process and comprehensive consideration, the intrinsic connections between various student behaviors are found, the logical relationships behind them are considered, and appropriate teaching decisions are made. Taking the latest flagship course of global children's American language published by a group as an example, it has introduced the first MyEnglishLab online learning and tutoring system (hereinafter referred to as MEL) applied in the field of children's English learning, applying big data technology to analyze the learning progress, feedback and stage results of individual students and the class as a whole in real time, so as to find out the problems and prescribe the right remedies in time to realize dynamic management of the learning process and results. The system is designed to provide a dynamic management of the learning process and results.
Application cases of intelligent transportation
According to the incomplete statistics of ITS114, as of December 31, 2015, including urban intelligent transportation and highway electromechanical market of the annual ten million project statistics scale of 18.25 billion, which is mainly divided into four major markets 1.Traffic control market ten million project scale of 8.424 billion. 2. 8.424 billion.2. 2. Intelligent Transportation/Intelligent Transportation market 10 million project size of 2.033 billion.3. Highway electromechanical market 10 million project size of 7.58 billion.4. Safe City 10 million project size of 5.66 billion. The above four markets have a lot of intelligent transportation application cases.
Specifically in the traffic control market, the current provinces are actively building the traffic operation monitoring and emergency command system, as well as around the video, image analysis, so as to achieve the security, transportation, industrial manufacturing, automotive, artificial intelligence, and so on many areas of the application is also a typical case of intelligent transportation. Such as Shenzhen Rongxiang's "traffic simulation and intelligent control robot" can be real-time acquisition of video detection data and coil detection data, the collected traffic flow data, signal timing and other data into the establishment of the simulation of the road network model, real-time traffic system simulation. Through the integrated traffic simulation model, the robot can quickly find out the congestion points of the road network as well as analyze the frequent congestion points of the road network, and predict and analyze the evolution of the traffic flow operation condition. In the traffic simulation and intelligent control robot platform, you can also set up the traffic environment of any intersection in the city, and the surrounding residents can "inform" the robot of the relevant recommendations, real-time simulation of the intersection to improve the effect of real-time simulation of the new mode of traffic management of the participation of all people, all the people to practice, all the people to innovate.
Intelligent transportation/transportation, various "special car", "express car", "carpooling", "chauffeur-driven", and software data platforms are used. Examples of platforms and software data abound, such as the familiar "drop express", "uber", "e-driving" and other apps.
Transportation of new technology cases: such as driverless, automatic driving, intelligent cars, etc.; in December 2015 on the Internet Conference Robin Li showed unmanned car, Li Shufu showed the automatic driving technology are reflected in the current development of intelligent transportation. Closer to home, automotive electronic labeling, ETC, vehicle road coordination. 2015's new energy bus market was explosive growth, new energy bus sales reached 37,363, up 213.19%, while in 2015 the State Council issued the "new energy buses to promote the application of assessment methods (for trial implementation)", "electric vehicle charging infrastructure development guide" and other policy documents, it can be predicted that the new energy vehicles will create a new generation of vehicles. The new energy vehicles will create a huge market, built on the new energy vehicles on the car network will also ride on the windmill.
Peaceful city also has a lot of intelligent transportation cases have been formed. Safe City is based on GIS digital map technology, highly integrated security monitoring, intelligent transportation, digital city management, emergency command and other subsystems, change the traditional static management and single-point management, real-time, dynamic linkage management of the new model, the realization of the entire city of the law and order, transportation, city management, emergency linkage of the linkage of the various functional departments, the establishment of a highly efficient urban sector linkage mechanism, to improve the city's integrated and intelligent management level. According to the characteristics and application requirements of high-definition video surveillance system, combined with the current and future development needs of image monitoring system and image application system for a certain period of time, the construction of a set of advanced integrated application platform for the safe city, for command and control, investigation and evidence collection, emergency response, traffic management, and other back-office applications to provide timely and reliable video image information, service in the field. Most of the main functions of the common safe city system on the market are: face card function; traffic event detection function; intelligent retrieval function; road violation capture function; vehicle inspection and deployment control function; off-site law enforcement; analyzing and judging function; traffic state of affairs monitoring function; video quality detection function; intelligent application management function; data format and communication function; remote control function; command and control function; Duty management function; equipment operation status monitoring function.