Technology disaster relief in the big data age

Data such as money or gold, is becoming a new type of economic assets, large data has become a research field of differentiated competitiveness, the opportunity for enterprise innovation. IDC, a technology research institute, had predicted that a large amount of new data would emerge at all times, increasing at a rate of 50% a year. Large data applications are ubiquitous from communication to measuring azimuth, temperature and even atmospheric chemical changes.

So, the Internet industry's "patent", in the disaster relief can play what role? How can large data development and application help to improve the disaster relief system? It can be taken as an example to "7 21" Beijing Rain Disaster and "4 20" Yaan earthquake, and to find the gap with the case of foreign large data innovation.

Do you remember the microblogging network platform to become "7 21" Beijing Rain Disaster "savior" the Public through micro-blog published home address, to help people provide refuge, "two-flash convoy" through micro-blog spontaneous transfer of the trapped people. A micro-blog that contains the characters, time and location of the three elements can quickly understand the needs of the rescue, open the micro-blog additional coordinate data to achieve map positioning, in order to facilitate timely relief. Yaan earthquake, in addition to micro-blog highlights the new media dissemination advantages, micro-letter group and the major Internet companies launched by the search platform for disaster relief provided multi-channel support. But the data of the major websites are not interoperable, and the low precision and inefficiency of the data become the biggest disadvantage. In both the Japanese tsunami and the Boston bombings, Google Maps provide a precise location of shelters, achieving the real role of large data networks in disaster relief.

The above example can see the value of fusion data, through SMS or telephone is difficult to accurately describe geographical coordinates, micro-bo debris information is only conducive to local assistance, and network and large data precision should be an essential element of efficient disaster relief. Although the social media has great potential for disaster relief, its short, fast and one-off vulnerabilities are difficult to solve the overall problem of disaster relief, the arrival of large data has brought us new requirements on how to develop and apply a centralized information base to accurately allocate materials and achieve accurate matching?

Government and other authoritative departments lack of large data management capacity of the problem, in the Yaan earthquake highlighted by people from all walks of life together into the disaster area, once caused traffic jams, disaster relief work in an orderly manner; the relief supplies are neatly lined up in the rear but cannot be dispatched to the victims at the first time. The disaster area does not have the daily updated data, the important data is difficult to open and causes the social material to be disorderly; It can be seen that the lack of management thinking and coordination ability in the age of large data will inevitably affect the efficiency of disaster relief.

Even the international disaster relief and disaster relief systems in the developed world are hardly perfect, not to mention in China. But we must see the important role that big data can play in coping with natural disasters and disaster relief, for example, in recent years, a number of large enterprises, institutions and NGOs to study the use of large data, collaborative technology development and design of future sustainable cities in order to respond to hurricanes or tsunamis and other disasters, such as in the United Nations-funded projects in Bangkok, Thailand , the researchers used crowdsourcing (crowdsourcing) mobile applications to enable urban residents to carry out real-time flood monitoring, to achieve flood warning and prevention purposes; IBM in Rio de Janeiro, in collaboration with the local government to create and enable a new automatic alarm system, such as flood and landslide warning, The system will release the city officials and emergency personnel action information, the algorithm can be used to predict the different geographical location of rainfall, and so on.

Social media has a short time, it has played an important role in disaster reporting, but disaster prevention, relief and disaster mitigation require professional and scientific operations, disaster relief requires accurate data and meticulous logistical management, and we need to translate all social media online responses into big Data management for real action.