Academician Jingnan: The ubiquitous surveying and location service in the large data age

September 24 News, the second China Satellite Navigation and Positioning Association sponsored by the China National Navigation and Location Services annual conference and Exhibition in Beijing International Conference Center Grand Opening, the annual meeting to "apply Beidou, Guangcai China" as the theme. Jingnan, a former president of Wuhan University and academician of Chinese Academy of Engineering, said in his speech that new technologies such as large data will have an important impact on social and economic development, and that the development of pan-surveying and location Services has entered a large data age.

Former president of Wuhan University and academician of Chinese Academy of Engineering, Jingnan

Large data industrialization can produce great benefits

Jingnan said that the big data contains a "gold mine", the most important thing is to achieve large data intelligence, to solve large data intelligence problems, through a number of new computing methods, including group intelligence, social computing, with a large number of data and simple logic method can solve complex problems. The sources of large data include government data sources, industry data sources, enterprise data sources, social groups including individuals ' data sources. We need to perceive, synthesize and express data, store, manage, and then infer and make decisions. At present, the biggest problem of large data is application, realize the resource and share of data. Data and industry will form the data industry, we need to solve the data itself ecological and data industry ecological problems.

He pointed out that the large data is not only a concept, but to industrialization, it is because of the march to industrialization, will form a huge benefit. There used to be a database industry, now has the data center industry, the global now has thousands of data centers, China has more than 900 data centers, the data center occupies the very big data, further develops for the data industry, engages in the data collection, the collation, the circulation, the service and the related software and hardware development, the manufacture collectively is the content industry, Service industry and software and hardware research and development industry. The need for large data is very broad, and satellite mapping is an important aspect of large data needs.

He also said that the big data age had an important impact on social and economic development. First, the scientific impact of future data-intensive computing development will become a new research method. Second, the impact on society can change politics and government. For example, since 2009, the United States Government has fully opened the 400,000 federal government raw data, large data has become the U.S. National Innovation strategy, national Security Strategy, national IT industry development Strategy and national information Network strategy, the intersection of the core areas. Third, the values and thinking that are being reshaped, the value of 21st century data is likely to be equivalent to the 20th century oil, and large data studies have led to a reduction in the desire for causation and concern about relationships.

On the economic front, data analysis can be combined with the Internet, cloud computing and car industry to form a new group of economies, including companies that specialize in data sources, companies that specialize in data analysis technology, companies that provide data intermediary services, and allied industry alliances. At the same time, there will be a number of new occupations, such as the production of data analysts, data scientists and so on. In addition, new production value will be produced. TMR (Transparency Market research) "Big Data market: 2012-2018 Global situation, Development trend forecast" report shows that 2012 global data market value of 6.3 billion U.S. dollars, to 2013 will reach 48.3 billion U.S. dollars, the big data industry will increase the retail business 60% net profit, The big data industry will reduce the cost of 50% of product development for manufacturing. In terms of personal geographic information, large data will bring more than 100 billion dollars of revenue to the service provider, bringing more than 700 billion dollars worth to the user.

Spatial information and location large data

Jingnan introduced that the pan-surveying and large data have the following characteristics: space-time characteristics, indicating the occurrence of the time and duration of the time, the geographical location and scope of the relationship between the data is very complex. Attribute characteristics, there are different levels, including relationships with people. The accuracy characteristic, refers to the mapping object under the different demand, with the resolution, the time response scale and so on presents the different precision request. Large position data is an important part of large data research, not only is the mapping people interested, the world's industry is interested in the "gold Mine" in the "gold", McKinsey points out that the ranking of the position data in 2009, and the annual growth rate of 20%, which does not include data from the RFID sensor network.

Spatial information and location of large data are mainly divided into geographical data, trajectory data, spatial media data. Geographical data is characterized by large volume, more regular and slow change, and geographical data can be divided into map data, remote sensing data and geodetic datum. Remote sensing data, including optical image data, radar laser scanning data, etc. Geodetic datum data, including time datum data, gravity datum data, etc.

Trajectory data is the user activity data obtained by means of GNSS, RFID and other methods, including personal trajectory data, group trajectory data, traffic trajectory data, logistics data, etc. Features: Large volume of data, fragmentation of information, low accuracy, can be described in text patterns, there are semi-structured trajectory data, with other user information and social semantics.

Spatial media data, including digital text image graphics, sound, video effects and animations, which include spatial location and time, are mainly derived from new Internet applications such as mobile social networks, micro blogs and micro-letters. Data source is mixed, unstructured, data heterogeneity is big, real time is very strong.

Finally, Jingnan says, the demand for location-based services has entered a new era of environmental awareness, personality needs, community behavior monitoring, comprehensive, real-time, synergistic and public monitoring of the environment, i.e. the generation and use of large data. Geographical conditions refer to the status quo, history, future and development trend of the geographical factors of the national and public interests, which will promote the social economic construction and political construction.