Big data: The core driving force of the Internet of Things

"The IoT will make the current big data items look like little things (Sgt Stuff)". This is Paulbachteal, SAS senior executive at the US business intelligence firm. This words, will be the most fashionable big data for the moment to take lightly, and the internet of things to the high place.

His reasoning is: when you start thinking about bringing all of your data into the organization, turning the Internet of things from concept to reality, and building systems for capturing, storing, analyzing, and creating predictive analytics, the skills needed are in short supply, and customers and suppliers will have to start training staff skills.

This is not unreasonable. It is widely used in the fields of intelligent transportation, environmental protection, government work, public safety, Intelligent City, smart home, environmental monitoring, industrial monitoring, food traceability and so on. The Internet of Things applies a new generation of information technology to all walks of life, specifically, the sensor equipment to the grid, railways, bridges, home appliances, food and other items, through the network of various information integration, by the central control system for real-time information processing and feedback to achieve more effective production and life management purposes.

The IoT system has three levels. First, the perceptual layer, that is, the use of RFID, sensors, two-dimensional code, and so on and anywhere to obtain information about the object, the second is the network layer, through a variety of telecommunications networks and the integration of the Internet, the object of real-time accurate information transmission out; The third is the application layer, the information of the perceptual layer is processed to realize intelligent recognition, location, tracking Monitoring and management and other practical applications.

It can be seen that the internet of things is one of the important sources of large data (there are three major sources of data: IoT, Internet and mobile network interconnection), its system is stronger, the scope of radiation is wider. The internet of things is not just a sensor, but it provides an infrastructure that supports the wisdom of the Earth, and the presence of the internet of things makes it possible to gather and analyze data based on large numbers.

At present, the amount of data generated on the network is much larger than the amount of data generated by the Internet of things, which is mainly restricted by the popularization of IoT equipment and the progress of technology. The Internet of things has been defined as China's strategic industry, written into the "Twelve-Five" plan, with the development of the industry increasingly in-depth, the increase in the number of sensors, the resulting data levels to far beyond the network.

It can be said that the internet of Things is "big data" as the driving industry, not the components and equipment driven. But the core of IoT is not in the perceptual layer and the network layer, but in the application layer. Therefore, the combination of Internet of things and large data will produce a huge market scale, and derive more valuable business model.

If the typical business model of large data applications in the Internet of things, it has to mention the Japanese construction machinery manufacturer Komatsu. As early as the word "big data" was born, Komatsu began to use large data in the present sense, and achieved fruitful results, even if Komatsu was the origin of Japan's large data use.

Komatsu developed a system called Komtrax, which can monitor the working condition of construction machinery, and collects data such as the position, working time, working condition, fuel allowance and consumables replacement time of the machine by GPS and various sensors installed on the construction machinery Komtrax And the use of satellite communications or mobile network communications, and eventually sent via the Internet to Japan Komatsu server. and distributors and customers around the world, you can access the Komatsu server, the area of their own data query.

For example, if you can understand the exact working time of construction machinery, you can determine the parts that may be lost in advance, thereby improving the efficiency of maintenance. If you can understand the use of fuel, it can be a large amount of fuel consumption of customers and fuel consumption of the difference between the customer's differences between the analysis, to understand the difference in driving methods, so that the fuel consumption of too large customers to make reasonable suggestions. In the use of methods to put forward reasonable suggestions, not only can help customers reduce maintenance and fuel costs, Komatsu and its agents can also bring benefits. Because if the customer can use the construction machinery reasonably and keep the value, not only can sell a good price in the second-hand machinery market, but also help to maintain Komatsu's brand image.

Similar to the case of Komatsu in the future will be more and more, enterprises in the middle to seek commercial value of the space is also getting bigger. Each road capital is competing for the investment in the Internet of things, the two-tier market related to listed companies are also in pursuit of funds, you have to sing my debut posture.

(Responsible editor: The good of the Legacy)