The ＂Cloud-Intelligence Integration＂ series of white papers, Intelligent Internet of Things, will provide you with a one-stop interpretation!

A new generation of information technology represented by artificial intelligence, big data, cloud computing and 5G is booming, driving a new round of scientific and technological revolution and industrial transformation. As an important foundation of industrial Internet, the Internet of Things plays a self-evident role. How to make good use of the Internet of Things, and then drive enterprises to complete the industrial leap?

Recently, Baidu AI Cloud released a series of white papers on "Cloud-Intelligence Integration" technology and application analysis-Intelligent Internet of Things (hereinafter referred to as "White Paper"), which gave the answer.

The white paper deeply analyzes the shortcomings of the traditional Internet of Things in dealing with industrial transformation, and discusses the capabilities, core technologies, industrial practices, industry cases and future directions that the intelligent Internet of Things should have.Baidu Intelligent Yuntian Internet of Things Platform 2.0, which fully integrates AI technology with end-to-end cloud, provides end-to-end solutions for many industries and provides new ideas for enterprises to cope with industrial transformation.

As the drafter and practitioner of the white paper, Baidu AI Cloud will go deep into the industry scene based on the digital base and intelligent engine, hoping to innovate and make progress together with enterprises, developers and partners in the field of Internet of Things and accelerate the intelligent transformation of the industry.

As a new infrastructure in the intelligent era, the Internet of Things is developing rapidly. According to the survey data released by IoT Analytics, in 2020, the total expenditure of end enterprise users on IoT solutions will reach 128.9 billion US dollars, and it is expected to reach 159.8 billion US dollars (about 1 trillion yuan) by the end of 2021.

In the early days, the application of the Internet of Things was mostly in factories. Now, with the advent of the digital age, the Internet of Things has entered thousands of households, such as smart homes and smart parking lots … This has also spawned many new challenges, such as the huge increase in the number of connected devices and the explosive growth of data, and how to use a large amount of data to better serve the business. Obviously, in the process of accelerating the landing of "Internet of Everything" and deepening the industrial application, the data types and volumes have greatly increased, and the data value mining of the Internet of Things in the fragmented scene seems to be "difficult to support".

Based on the above challenges, the white paper shows that it is time for the Internet of Things to evolve to the next stage, that is, from the traditional Internet of Things to the intelligent Internet of Things. It is embodied in four aspects:From connecting everything to awakening everything; From centralization to end-to-end cloud collaboration; From technological innovation to industrial revolution; From Internet of Things thinking to Zhilian thinking.

As a leading AI company with a strong Internet foundation, Baidu has a long-term and rich business practice in the field of Internet of Things, and has deep technical accumulation in connection, end-to-end cloud collaboration, AI, etc. Baidu will help enterprises realize the intelligence of the Internet of Things based on the complete capabilities of cloud and intelligence.

The white paper points out that the intelligent Internet of Things has three characteristics: connecting everything, talking everything and being intelligent. That is, based on the Internet of Everything, relying on AI to open the intelligent interaction mode of ubiquitous Internet of Things devices, while further deepening "wisdom" into the industry.

From Baidu’s perspective, it is easy to understand these three characteristics. "Connection" is the basic capability of the traditional Internet of Things. With the support of rich industrial ecology, Baidu has realized the connection of billion-level pan-IoT devices including home equipment, road equipment, industrial sensors and control equipment.

"Dialogue" means that Baidu gives intelligent interaction ability to terminal devices represented by small speakers through AI vision, voice, data analysis and other services, and Baidu Honghu chip used in small speakers is also widely used in car voice interaction, smart home and other scenarios.

"Wisdom" refers to Baidu’s deep AI technology accumulation and massive data, creating dual-end smart applications for industry and consumption, and upgrading every IoT terminal to an AIoT device.

In addition to the above-mentioned dry goods, other contents in the white paper will also help many enterprises understand the importance of the Internet of Things, see the future trend of the Internet of Things clearly, provide meaningful reference for their application of the Internet of Things, and help enterprises enter the digital age faster.

The Internet of Things is an important foundation of the industrial Internet, but it is obviously impossible to meet the needs of the times only by connecting things, because the connection only obtains data, and the data is valuable only by using it. How to use it? This is the value of AI. In other words, AI can further release the underlying energy of the Internet of Things and open up the innovative application space of the Internet of Things in various industries.

The base of AIoT is the Internet of Things, but AI capability is the key to inject new value into applications. Based on the cross-integration of networking and intelligence, the powerful ecology of the Internet of Things and the massive data generated from it have laid a solid foundation for AI on the one hand, and guarded AI to explore new industrial application scenarios; On the other hand, AI has greatly enhanced the intelligence of Internet of Things applications, enriched its data value, and really made the best use of it.

How to realize the integration of AI and IoT? What are the difficulties? The white paper shows that the biggest obstacle is the transition from cloud connection on devices to edge cloud collaboration. Baidu AI Cloud gave a further answer-Tiangong AIoT Platform 2.0. Tiangong AIoT Platform 2.0 includes edge layer, platform layer and capability layer composed of data intelligence, voice intelligence and visual intelligence, and together with Baidu intelligent terminal and vertical industry solutions including Dujia, Dumu, Duneng and VR series, it forms the comprehensive intelligent AIoT ecosystem in Baidu AI Cloud.

Tiangong AIoT platform 2.0 has two core features. Deep technical accumulation: Baidu AI Cloud Internet of Things business has been in existence for six years, with a complete AI technology layout: world-class core technologies such as voice, vision, natural language processing and knowledge mapping, more than 330 AI capabilities have been opened, and there are 3.6 million developers. Its powerful AI kernel has become a strong driving force for the development of intelligent Internet of Things.

Comprehensive intelligence of the end-side cloud: Baidu Intelligent Yuntian AIoT Platform 2.0 has realized the comprehensive intelligence of the end-side cloud, supported dozens of industries in the two major fields of industrial Internet of Things and consumer Internet of Things, built rich intelligent applications, and fully empowered intelligent application innovation in thousands of industries.

Baidu Intelligent Yuntiangong Internet of Things provides a perfect and easy-to-use Internet of Things infrastructure through the three core capabilities of data intelligence, voice intelligence and visual intelligence, as well as Baidu’s leading AI technology and end-to-end cloud collaboration technology, which further improves the three characteristics that intelligent Internet of Things should have: connecting everything, talking everything and wisdom everything, and provides support for enterprises to move from the Internet of Things to Zhilian.

Intelligent Yuntian AIoT platform 2.0 has been widely used in industrial upgrading and enterprise transformation, involving many industries, such as industry, energy, transportation and so on, covering scenes such as process parameter adjustment, quality inspection and safety inspection.

Taking the industrial Internet as an example, Baidu AI Cloud Kaiwu Industrial Internet Platform can collect the structural, audio-visual and other multimodal data of equipment in real time, generate a diagnosis model by combining with the artificial intelligence platform, intelligently diagnose and monitor the equipment, and give an alarm in time for equipment abnormality, thus greatly reducing the equipment failure rate.

For example, in terms of process adjustment, Baidu AI Cloud and a manufacturer of dispensing machines in Guangdong jointly built an intelligent dispensing machine. At the front end, the AOI quality inspection function can monitor whether the dispensing state is up to standard. If it is not up to standard, it will be uploaded to the model. Through model parameter adjustment, more than 10 parameters will be adjusted to the appropriate range within 1 minute, so that the whole dispensing machine can work normally again, forming a process closed loop, greatly improving the equipment utilization rate and productivity, and ensuring the product process quality.

In the field of quality inspection, Baidu AI Cloud Kaiwu Industrial Internet Platform, combining front-end hardware and back-end model, deployed a quality inspection solution with software and hardware to realize unmanned quality inspection, saving 90% of labor. Today, Baidu intelligent quality inspection solutions have been widely used in 3C, automobile, steel and other industries.

In the energy industry, based on Baidu Intelligent Yuntiangong AIoT Platform 2.0, Baidu AI Cloud has launched a comprehensive energy management and control platform 2.0, which provides a full chain coverage solution for energy production, supply and operation, integrated energy service providers and energy users. Through the rapid access of production capacity and energy-using equipment, it provides rich energy digital applications and efficient and intelligent interaction methods to support comprehensive energy service business.

For example, Baidu AI Cloud and its partners provided a digital energy monitoring system for the largest electronic equipment foundry in China, established a carbon monitoring system and set a carbon reduction target. Based on the data analysis, the monitoring system can find the space for energy saving and carbon reduction, and provide auxiliary decisions for users to formulate a series of carbon reduction policies, which can reduce 16,000 tons of carbon dioxide emissions for enterprises every year and save 4.7 million yuan+RMB in electricity bills.

Up to now, Duneng has served many government agencies, industrial parks, enterprise factories and buildings. The white paper further introduces the construction project of Baidu Science Park, the case of a provincial capital economic development zone in southwest China, the case of a city heating network in northwest China, and the case of Meixinda Group.

After more than ten years of development, the Internet of Things industry is becoming more and more widely used. Based on the development of a series of advanced technologies such as cloud computing, artificial intelligence and 5G, Baidu Intelligent Yuntiangong AIoT Platform 2.0 builds an intelligent Internet of Things platform for enterprises, empowers enterprises to realize transformation and promotes industrial upgrading.

It has become a consensus in the industry to insert intelligent wings into the traditional Internet of Things to help enterprises take off and industrial transformation. Baidu AI Cloud’s best practices have spread to all walks of life. As a technology leader in the integration of cloud intelligence, Baidu AI Cloud will continue to interpret the application and value of cloud intelligence technology in various practical scenarios in the form of a white paper.