DT, the five key words for LED lighting connection

Whether you are an LED rookie or an LED elite, I believe that the most common industry buzz you hear most recently is Smart Lighting, Internet+, O2O, etc... A group of LED industry-specific label terms that are in line with the Internet era.

This means that the Internet has begun to infiltrate the traditional lighting industry, so many companies have transformed, but as a traditional large-scale industrial transformation has to face pain, and small businesses seem to be more flexible. This may also be the reason why many foreign and domestic companies have split their subsidiaries or separate IPOs.

Ma Yun once said that the world has evolved from the IT era to the era of DT (Data Technology), and the five major keywords O2O, IoT, Big Data, AI, and Cloud in the DT era are how to integrate them as lighting people.

O2O(Online To Offline)

This LED is involved, first of all when it comes to O2O. Whether it is doing commercial lighting or home lighting, most companies go to successors and firefighters. Perhaps we all see 020 bright surfaces. We can string together users and business resources and Internet life service systems, and we can form our own. Big data for marketing.

Once enterprises successfully deploy O2O, not only can they obtain direct economic benefits, but they will also establish preemptive advantages in the future competition.

From 2015, the sharp increase in the performance of e-commerce companies such as Ops and NVC may be a little noticeable.

Therefore, O2O, one of the five key words in the DT era, is basically confident when lighting companies choose to go in this direction. However, each company's model is different, so companies need to find O2O models that suit their needs.

Rather than simply combining all the items and services under the line with the Internet, the Internet has become a platform for offline transactions. Of course, the mobile device is essentially a remote control for offline business, but how to change is where the company needs change.

If the focus of O2O is gradually placed on B2C, O2O must understand the concept of Internet of Things (IoT) in the process of expanding to B2B companies.

Internet of Things (IoT)

IOT refers to the Internet to which objects are connected, that is, to extend all items to the Internet. Connect people and things in real time in a mobile environment like smart cities, smart homes, and more.

Take a look at the recent CeBIT 2016 exhibition. Huawei, the big brother of the communications industry, has launched the lighting internet of things solution. ZTE has also released smart lighting solutions, which have led the smart streetlight into the Internet of Things.

In addition, to talk about the relationship between the Internet of Things and lighting, it is necessary to talk about Edison and the company he founded. GE has announced that it will use the Internet of Things to realize the intelligence of all “things” such as power stations, urban infrastructure, and aircraft. Whether it is urban or rural, it is inseparable from the Internet of Things if you want to achieve intelligence.

As a result, the appliance business was sold to Haier for US$4.5 billion, and nearly 100 billion US dollars worth of real estate and financial assets were sold to lay out IoT's long-term plan of “injecting ideas into the machine”. This point can be seen from the recent Google artificial intelligence Alpha Dog 4:1 victory over Li Shishi, intelligence is the general trend.

When we lighting people see Huawei ZTE's lighting Internet of Things solution and smart streetlight layout of the Internet of Things, should we care more about why they would choose to start from the point of lighting? As we are within the LED lighting, we are thinking about how to integrate in advance and lay out in advance instead of facing the daily price war.

In fact, the core of both O2O and the Internet of Things is data. Because in the data exchanged between people and people and things, hidden consumption patterns and values ​​are hidden. Big data is the technology that effectively analyzes, extracts, and forms meaningful knowledge and insight in the process of expanding O2O to IoT!

Big Data

Big data is a collection of data that cannot be captured, managed, and processed using conventional software tools within an affordable time frame. It is a massive, high-growth model that requires a new processing model to have greater decision-making power, insight, and process optimization capabilities. Rates and diverse information assets. In simple terms, there are no clues or raw data.

But now with the development of artificial intelligence, technologies for effective data processing have also been developed, and meaningful information, knowledge, and insight can be extracted from vast amounts of data. Through the effective analysis of data, not only can we predict the behavior of humans, but even promote human behavior.

Among them, the domestic LED lighting company Qinshang Optoelectronics put forward the concept of "smart light life", through the introduction of "big data", "cloud computing", "Internet of things" technology, demonstrated the latest research and development of smart products, and released the product "day eye K1".

It is reported that there are about 44 billion lamps in the world. These lamps constitute the largest network and channel in the world. This largest network is the world’s largest data collection network, covering the full range of personal, transportation, environmental, and security data.

In the future, by using this "light" database, the city can easily implement various functions such as security, traffic control, and information collection, and accelerate the pace of development of building a smart city. Each smart city is both an individual and an integrated body. Households and communities, cities and cities, and cities and the world can all achieve mutual intelligence. This may be the perfect application of big data in the field of lighting.

Artificial Intelligence

Artificial intelligence definition can be divided into two parts, namely "artificial" and "smart". Labor can be understood as the machinery produced by the industrial revolution, and intelligence is to give these machine ideas (this need to be the heyday).

The data, information, knowledge, and insight can be filtered through the DIKW system, so that even if no one is operating, the machine can perform its own task, self-judgment, self-prediction, and even, in turn, human judgment.

Although current artificial intelligence is still in its infancy, but from the just-concluded world wars, the artificial intelligence software “Alfa Dog” defeated the world champion with a 4:1 victory, and the nine-man professional chess player Li Shishi made people really feel that artificial intelligence is whistling. This will also be the focus of the future development of the DT industry.

Returning to the LED industry, artificial intelligence first gradually entered the workshop of a large-scale enterprise, which increased production efficiency and reduced labor costs. This is the most obvious step at present. Secondly, the introduction of the concept of artificial intelligence has made the control system of LED lighting more intelligent. As many companies in this area have also adopted various humanized intelligent designs, LED street lamp power supplies, electronic ballasts, and tunnel lights have been used. Drivers and other related products inside.

In addition, there is automotive lighting. At present, intelligent systems for automobiles have become more and more intelligent, but our vision is to look further. With the current upgrading of the industrial layout of smart cars, as it is artificial intelligence itself, LED lighting as glasses must be more intelligent. That's how the LED lighting companies need to think.

Cloud Computing

Cloud computing is an increase, use, and delivery model of Internet-related services, and typically involves the provision of dynamically scalable and often virtualized resources over the Internet. People can use storage space to expand the computer's storage and computing capabilities.

Nowadays, more and more people are more willing to store data in the cloud storage space than when they store data or information on a computer or mobile phone, and they can easily download it when they need it.

Imagine that if a lighting product is introduced into a cloud computing platform, people can use remote monitoring to make it easier for people on business trips to know the lighting status of the home through the camera, and to conveniently operate the lighting in a timely manner, to enable the lights to be turned on before entering the home and to forget to turn off the lights. Annoyance.

O2O and the Internet of Things link people or things together, and then place big data related to these people or things in the cloud storage space and perform necessary calculations. In this way, all people and things can be connected to the network in real time, and all relevant data is also absorbed into the cloud space.

Intelligent lighting can incorporate concepts such as "big data," "smart computing," "cloud computing," and "things of the Internet of Things," to achieve "alarm," "speech recognition," "object recognition," "face recognition," and future detection of mood. To adjust the best lighting effects.

Glossary:

DT: The abbreviation of Data Technology. Ma Yun pointed out that the IT era is dominated by self-control and self-management. In the era of DT (Data technology), it is a technology that serves the public and stimulates productivity. It seems that there is a difference in technology between the two, but it is actually a difference in the concept of ideas.

DIKW system: It is a system of information, information, knowledge and wisdom. Each of the layers gives certain qualities over the next layer. The data layer is the most basic. Information layer to add content. The knowledge layer added "how to use it" and the wisdom layer added "when it is used." In this way, the DIKW system is a model for us to understand the limits of analysis, importance and concept work. The DIKW system is commonly used in information science and knowledge management.