What is the Internet of Things Big Data, and what is the relationship between the Internet of Things

The Internet of Things is an important part of the new generation of information technology, and it is also an important stage of development in the "information" era. Its English name is: "Internet of Things (IoT)".

As the name suggests, the Internet of Things is the Internet of Things. This has two meanings: first, the core and foundation of the Internet of Things is still the Internet, which is an extension and expansion of the network on the basis of the Internet; Second, its user terminal extends and expands to any item and item for information exchange and communication, that is, the exchange of things.

The Internet of Things is widely used in the integration of networks through communication perception technologies such as intelligent perception, recognition technology and ubiquitous computing, so it is also known as the third wave of the development of the world's information industry after computers and the Internet. The Internet of Things is the application expansion of the Internet, and it is not so much a network as the Internet of Things is a business and application. Therefore, application innovation is the core of the development of the Internet of Things, and innovation with user experience as the core is the soul of the development of the Internet of Things.

Big data refers to the collection of data that cannot be captured, managed, and processed by conventional software tools within a certain time frame, and is a massive, high-growth and diversified information asset that requires new processing modes to have stronger decision-making, insight and process optimization capabilities.

The relationship between IoT and big data is:

The development of big data stems from the application of Internet of Things technology and is used to support the development of smart cities. As an expansion of Internet applications, the Internet of Things technology is in a great stage of development.

The Internet of Things is the foundation of smart cities, but the scope of smart cities is broader than that of the Internet of Things. The measurement indicators of smart cities are reflected by big data, which promotes the development of smart cities; The Internet of Things is the catalyst for the generation of big data, and big data originates from the application of the Internet of Things.

The Internet of Things refers to the real-time collection of any object or process that needs to be monitored, connected and interacted with through various devices and technologies such as various information sensors, radio frequency identification technology, global positioning systems, infrared sensors, laser scanners, etc.

Collect the information required by sound, light, heat, electricity, mechanics, chemistry, biology, location, etc., and realize the ubiquitous connection between things and things, things and people through various possible network access, and realize the intelligent perception, recognition and management of objects and processes.

The Internet of Things is an information carrier based on the Internet, traditional telecommunication networks, etc., which allows all ordinary physical objects that can be independently addressed to form an interconnected network.

Big data technology is a new generation of technology and architecture, which extracts value from various hyperscale data with low-cost and fast collection, processing and analysis technology.

Big data technology continues to emerge and evolve, making it easier, cheaper, and faster for us to process massive amounts of data, making it a great tool for leveraging data, and even changing business models in many industries.

Big data is a collection of data that is growing rapidly and cannot be collected, processed, stored, and computed in a certain period of time with conventional data tools.

Cloud computing is an Internet-based supercomputing model in which thousands of computers and servers are connected to form a cloud of computers in remote data centers.

As a result, cloud computing allows you to experience even 10 trillion operations per second, which is so powerful that you can simulate nuclear, climate change, and market trends. Users access the data center through computers, laptops, mobile phones, etc., and perform calculations according to their own needs.

The employment prospect of cloud computing, in a sense, can also be understood as the services provided by cloud computing for us, there is a certain inevitability, that is to say, what are the advantages of cloud computing for society and cloud computing users, and at the same time, it can be understood that the advantages of cloud computing are the employment advantages of cloud computing.

Big data is an intangible means of production in the information society.

Its concept has been continuously deduced in various versions by all walks of life, but many people are not clear about the relationship between big data and the Internet of Things. In this regard, Tongfang Internet of Things industry.

Zhao Ying, Technical Director of the Application Division.

This is explained in detail. The relationship between big data, the Internet of Things, and the Internet of Things is simply that the development of big data originates from the Internet of Things technology.

and used to support smart cities.

development. As an expansion of Internet applications, the Internet of Things technology is in a great stage of development. The Internet of Things is the foundation of smart cities, but the scope of smart cities is broader than that of the Internet of Things. The measurement indicators of smart cities are reflected by big data, which promotes the development of smart cities; The Internet of Things is the catalyst for the generation of big data, and big data originates from the application of the Internet of Things.

In terms of the significance of the Internet of Things to big data, Zhao Ying gave an example to illustrate the promotion of big data by Internet of Things technology. After the heavy rain in Beijing last year, a lot of measures were taken, and a very important embodiment is that the Beijing Municipal Science and Technology Commission soon set up a special project to Fangshan and Mentougou that were affected by the disaster.

The two districts have carried out the improvement of emergency management capabilities and the construction of informatization. Tongfang participated in the Mentougou project to help Mentougou improve its early warning capabilities. Tongfang renovated and upgraded the original emergency platform of Mentougou.

For example, the monitoring of water level, the installation of water level gauges under some key overpasses, the water level will be warned to a certain extent, and the relevant departments can take some measures accordingly, which is the application of Internet of Things technology.

The Internet of Things is the Internet of Things, and the core foundation is still the Internet, which is an extension and expansion of the network on the basis of the Internet; Big data is a massive, high-growth and diversified information asset that requires new processing models to have stronger decision-making, insight and process optimization capabilities.

Big data requires special technologies to efficiently process large amounts of data that tolerate elapsed time. Technologies for big data, including massively parallel processing (MPP) databases, data mining, distributed file systems, distributed databases, cloud computing platforms, the Internet, and scalable storage systems.

Big data includes structured, semi-structured, and unstructured data, and unstructured data is increasingly becoming a major part of data. According to IDC, 80 percent of the data in the enterprise is unstructured, and this data is growing exponentially by 60 percent every year.

Big data is just a manifestation or feature of the development of the Internet to the present stage, there is no need to mythologize it or maintain a sense of awe for it, under the background of technological innovation represented by cloud computing, these data that originally seemed difficult to collect and use began to be easy to use, through continuous innovation in all walks of life, big data will gradually create more value for human beings.

1.Efficient and distributed

It must be an efficient distributed system.

The amount of data generated by the Internet of Things is huge, and in China alone, there are more than 500 million smart meters, each meter collects data every 15 minutes, and more than 50 billion records are generated by smart meters across the country in a day. With such a large amount of data, no single server can handle it, so the processing system must be distributed and horizontally scalable. In order to reduce costs, the processing performance of a node must be efficient, and it needs to support fast data writing and fast query.

2.Deal with the real and the virtual

It must be a system that is processed in real time. The familiar scenario of Internet big data processing is user portraits.

Recommendation system, public opinion analysis, etc., these scenarios do not require any real-time, batch processing.

Can. However, for IoT scenarios, real-time warnings and decisions need to be made based on the collected data chain data, and the delay should be controlled within seconds. Without real-time computing, the business value of the Internet of Things is greatly reduced.

3.High reliability

Carrier-grade highly reliable service is required. The Internet of Things system is often connected to the production and operation system, if the data processing system is down.

It directly leads to the suspension of production, resulting in economic losses, and resulting in the inability to provide services to end consumers normally. For example, if there is a problem with the smart meter, it will directly lead to the inability of thousands of households to use electricity normally. Therefore, the big data system of the Internet of Things must be highly reliable, must support real-time data backup, must support remote disaster recovery, must support software and hardware upgrades, and must support IDC room migration, otherwise the service must be interrupted.

4.Efficient caching

Efficient caching is required. In most scenarios, you need to be able to quickly obtain the current status or other information of the device for alarm, large-screen display, or other purposes. The system needs to provide an efficient mechanism that allows users to get the latest status of all or some of the devices that meet the filter criteria.

5.Real-time stream computing

Real-time streaming computing is required. All kinds of real-time warnings or ** are no longer simply based on a certain threshold, but need to be generated by one or more devices through the data stream.

Real-time aggregate calculations are performed not just on the basis of a point in time, but on the basis of a time window. Not only that, but the computing requirements are quite complex and vary from scenario to scenario, and user-defined functions should be allowed to perform calculations.

6.Change Tracking

You need to support data subscription. Consistent with the general big data platform, the same set of data is often needed by many applications, so the system should provide a subscription function to alert the application in real time whenever there is a new data update. And the subscription should also be personalized, allowing the app to set filters, such as subscribing to only a certain physical quantity.

The average value of the five-cent canopy bridge pin clock.

Big data. No.

Sampled data, but all data;

Therefore, big data must rely on cloud computing, and it cannot be LAN;

The goal of the Internet of Things is to connect all objects to the Internet, and virtualize the objects and upload the data, which is naturally big data.

Cloud computing is to solve practical computing problems under large concurrency and big data;

Big data is to solve the problem of massive data analysis;

The Internet of Things is to solve the problem of the integration of devices and software;

The Internet of Things is the first (equipment data) of a lot of big data, and the collection, control and service of a large number of equipment data rely on cloud computing, and the analysis of equipment data depends on big data, and the collection and analysis of big data also rely on cloud computing.

What is big data, cloud computing, Internet of Things, vernacular, these relationships with artificial intelligence.

In life, the more common is Internet big data, in fact, there is a kind of Internet of Things big data combined with the Internet of Things big data, do you know what is the Internet of Things big data?

The full name of IoT is Internet of Things, translated into Chinese is the Internet of Things, which refers to the real-time collection of any object or process that needs to be monitored, connected and interacted with through various information sensors, radio frequency identification technology, global positioning system, infrared sensors, laser scanning and other equipment and technologies, and collects its sound, light, heat, electricity, mechanics, chemistry, biology, location and other required information. The ubiquitous connection between objects and people enables intelligent perception, recognition and management of objects and processes.

The Internet of Things (IoT) is an information carrier based on the Internet and traditional telecommunication networks, which allows all ordinary physical objects that can be addressed independently to form an interconnected network.

The definition of big data is a collection of data that cannot be captured and processed by conventional tools within a certain time range, which is big data, and big data technology is an IT technology that collects and processes big data.

Common big data application cases include box office, which uses big data technology to collect box office data from previous years, and analyzes the type, release time and box office of the released movies to achieve box office sales in various time periods in the future; In enterprises, big data analysis technology makes enterprise decision-making more intelligent and automated, and can also improve work efficiency.

So how is the Internet of Things and big data connected? In the above concept of the Internet of Things, it can be seen that the Internet of Things collects various real-time monitoring information through some collectors, and connects objects and objects, or objects and people through the network, to achieve intelligent perception or identification and management of objects and processes. For example, the global positioning system needs to collect various geographic information data and route data on the earth through the satellite navigation system, and then confirm the real-time location of the object through some intelligent technologies of the Internet of Things.

Another example is the common smart watches in life, in many smart watches there are heart rate measurement and blood oxygen saturation measurement, the measurement data on these watches, through Bluetooth to connect to mobile phones or computer devices, the use of some special health app**heart health degree closed, which is also combined with big data technology Internet of Things applications.

It can be said that most of the applications of the Internet of Things need to rely on big data as the basis, so the use of big data is also of extraordinary significance for the rapid development of the Internet of Things, and I believe that in the future, the combination of the Internet of Things and big data technology will bring more convenience to our lives.