Look to the future: what's the next step in the Internet of things?
Source of the article：Shenzhen RF-LINK Technology Co.,Ltd.Browse：297Publication time：2018-08-01 15:33:51【SML】
Over the past few years, the number of devices connected through the Internet of things (IoT) has increased exponentially and will continue to grow. It is expected that by 2020, there will be 50 billion connection devices, thanks to the fact that many new smart devices have become standard tools for people and enterprises to manage many daily jobs and lives.
Intelligent interconnected devices improve customer participation, improve visibility and simplify communications, especially using a new human-machine interface, such as the Voice User Interface (VUI).
In the future, the Internet of things will continue to develop at a very fast speed and succeed in many ways. The goal is to have an intelligent and completely secure Internet of things system. However, many obstacles need to be overcome before achieving the goal.
The integration of the Internet of things and the block chain
The centralized network structure of the Internet of things is one of the main reasons for the vulnerability of the Internet of things. As billions of devices are connected and more devices are added, the Internet of Things has become an important target of network attacks, making security very important.
Block chains bring new hopes for the security of the Internet of things. There are several reasons: first, the block chain is open, and everyone involved in the block network node network can see the storage and approval of the block and transaction, although the user can still have the private key to control the transaction; at the times, the block chain is scattered, so there is no A single authority can approve a deal to eliminate a single point of failure (SPOF); third, it is also important that it is secure, that the database can only be expanded, and the previous record can not be changed.
In the next few years, manufacturers will recognize the benefits of embedding block chain technology into all devices and competing for "Blockchain certification".
IoT Investment is increasing
The impact of the Internet of Things has attracted and will continue to attract more venture capitalists to participate in innovative projects in hardware, software and services. According to data from International Data Corporation (IDC), by 2021, IOT expenditure will reach $1 trillion and 400 billion.
The Internet of things is one of the few markets that interest traditional venture capitalists. The popularity of smart devices increases the dependence on customers to use them for daily tasks, which will increase the enthusiasm for investing in IoT startups. Customers will wait for the next major innovation of the Internet of things, such as smart mirrors, which will analyze your face, if you look sick, it will tell you; smart ATM, it will contain an intelligent security camera; an intelligent fork that tells you how to eat, what to eat, and a smart bed, when everyone sleeps. Turn off the light.
Fog computing and Internet of things
Fog computing is a technology to allocate and process load and move it to the network edge (sensor). The benefits of using fog computing are very attractive for IOT solution providers. Some of these advantages allow users to reduce latency to a large extent, save network bandwidth, collect and protect all kinds of data through rapid decision making and reliable operation, and transfer data to the processing location by better analysis and insight on local data. Microsoft has just announced that it will invest $5 billion to invest in the Internet of things, including fog / edge computing.
AI and IoT will work closely together
AI will help the data analysis of the Internet of things in the following fields: data preparation, data discovery, visualization of stream data, accuracy of time series of data, prediction and advanced analysis, and real-time geographic space and location. Here are some examples:
Data preparation: defining data pools and cleaning them, which will enable us to understand concepts such as Dark Data and Data Lakes.
Data discovery: finding useful data in the defined data pool.
Visualization of stream data: By defining, discovering data and visualizing stream data intelligently, the decision-making process can proceed without delay.
Accuracy of time series data: keeping data highly accurate and complete, and highly reliable data.
Predictive and advanced analysis: making decisions based on data collected, discovered and analyzed.
Real time geospatial and geographic location (logistics data): keep data flowing and controlled.
Standardized fighting will continue
Standardization is one of the great challenges facing the development of the Internet of Things, which is a battle between industry leaders to dominate the market at an early stage. Digital assistants, including HomePod, Alexa and Google Assistant, are the future hub of the next stage of smart devices, and companies are trying to build "their hub" with consumers to make it easier for them to use less equipment to build more practical networks.
But what we see now is a split - up situation, and there is no general standard for powerful animal networking equipment like IEEE or government regulations.
One possible solution is that a small number of devices dominate the market, allow customers to choose a device and allow any other connection devices, similar to that we now use Windows, Mac and Linux operating systems, without cross platform standards.
To understand the difficulty of standardization, we need to deal with all three categories in the standardization process: platforms, connectivity, and applications. As far as platform is concerned, we deal with UX / UI and analysis tools. Connectivity needs to deal with the point of contact between the client and the device. Applications are interworking with applications that control, collect, and analyze data.
All three categories are interrelated, and we all need them, and the lack of one will break the pattern and delay the standardization process.
The shortage of talents in the Internet of things
Demand for Internet of Things talent is on the rise, including a growing demand for people with artificial intelligence, large data analysis and block chain skills.
Universities can not keep up with demand. In order to cope with this shortage, the company has set up an internal training program to build up its own team, improve the ability of its engineering team and develop new talents.