Baidu Intelligent Cloud is shaking: AI is going deep into the core scene of industrial production

“New technologies centered on artificial intelligence are accelerating their integration with the industry, creating new scenarios, new paradigms, and new values.” On August 3, at the 2022 AI+Industrial Internet Summit Forum, Baidu Executive Vice President, Baidu Intelligent Cloud Business Shen Dou, the head of the group, said that with the deep cultivation of AI technology of intelligent cloud and in-depth industrial scenarios, the industrial Internet will enter a new era of industrial intelligence.

In the context of “Made in China”, “Made in China” and “Created in China” anchoring the direction of China’s manufacturing transformation and upgrading, the integrated application of AI and industrial Internet has become a modern, digital and intelligent manufacturing industry in the new development stage. The only way to develop. Shen Dou proposed that artificial intelligence has now stepped out of the closed laboratory and penetrated into the core business scenarios of the industrial field. Help enterprises realize intelligent decision-making and bring practical results to the industry.

Shen Dou, Executive Vice President of Baidu and Head of Baidu Intelligent Cloud Business Group

Going deep into the core production scenarios is the future entry path for AI + Industrial Internet. It conducts in-depth analysis of data on various production factors such as equipment, personnel, and raw materials through cloud-based services, and then provides intelligent solutions for future industrial scenarios to help industrial enterprises realize data Drive business transformation innovation.

“Baidu Smart Cloud uses deep learning algorithms to predict unit operating conditions in the thermal power generation air-cooling island project. By adjusting the fan speed parameters in real time, every 1 kWh of electricity produced can reduce the energy consumption of 1.55 grams of standard coal, which can be converted to the whole country and reduce carbon emissions in one year. The emission potential can reach 6 million tons.” Shen Dou believes that AI applications are moving from relatively peripheral demand scenarios such as visual quality inspection, intelligent customer service, and route planning to process parameter optimization, energy efficiency improvement, and safe operation management. Breakthroughs in core business areas. Such improvements in production efficiency cannot be achieved through traditional manual labor.

It is foreseeable that the loading of AI cutting-edge technology will effectively improve the industrial Internet’s ability to diagnose and judge risks in the entire manufacturing process, manage industrial digital assets, predict the market, and optimize the supply chain, thereby helping enterprises to better achieve efficiency. promote.

Driving the intelligent upgrade of the industrial chain is an inevitable accompanying process of AI + Industrial Internet. AI+Industrial Internet is not only a smart base for enterprise transformation, but also a smart engine for regional industrial upgrading. It can radiate the utility of innovative technologies such as device access, protocol analysis, edge computing, big data analysis, visual development, etc. to the upstream and downstream of the industrial chain.

As Shen Dou said, the value of the Industrial Internet to the industry is not only reflected in the efficiency improvement of a single enterprise, but also in the coordinated development of the upstream and downstream of the industrial chain through digital means. In the process of comprehensive integrated application of the whole process and expansion of multi-domain system applications, AI+Industrial Internet will provide intelligent perception, network connection, data analysis and other capabilities support for the digital transformation of the entire industry chain.

AI+Industrial Internet can promote the ability of “intelligent manufacturing” to cover the entire industrial chain from production design to product terminal, promote the precise and efficient allocation of production and service resources in a wider range, and benefit the entire industry.

Helping enterprises to digitally transform and improve their efficiency and competitiveness is the long-term goal of the integration of AI and industrial Internet. “Promote small and medium-sized enterprises to spend less or even free access to the cloud, so that enterprises can use intelligent applications at low cost and taste the sweetness of using artificial intelligence.” Shen Dou believes that with the continuous improvement of new infrastructure, the cost of large-scale computing for enterprises will be reduced. Continuously decreasing, SMEs will usher in new opportunities for digitalization.

This not only refers to large enterprises, but also small and medium-sized enterprises. It is the inclusiveness of intelligent technologies for these long-tail needs. The needs of small and medium-sized enterprises to improve quality and efficiency are more urgent than those of large enterprises, and the transformation of manufacturing into intelligent manufacturing must ultimately settle in the structural transformation and power conversion of small and medium-sized enterprises. Whether it can benefit small and medium-sized enterprises will test the value of AI + Industrial Internet.

In reality, the manufacturing industry generally has pain points such as the low adaptability of supply and market demand, and challenges to the stability of the supply chain. With the continuous improvement of the new infrastructure embedded in the integration of cloud and intelligence, the reproducibility and generalizability of AI+Industrial Internet integrated development technical solutions and application models are constantly being strengthened. Computing power and intelligence, to achieve a new stage of development from the digital-driven stage to the intelligent traction.”

Starting from practical problems, Baidu Smart Cloud uses deep learning algorithms to predict unit operating conditions to help thermal power companies reduce energy consumption, and uses Kaiwu platform to help upstream and downstream companies in the supply chain to open up the supply chain and realize supply and demand coordination and capacity sharing at the regional industrial cluster level. The Paddle open source deep learning platform helps small and medium-sized enterprises to use the computing power and intelligence based on the public cloud at a low cost, which provides a model for the value presentation of AI + Industrial Internet. Similar intelligent technology traction also allows the manufacturing industry to enjoy the dividends under the blessing of AI. .

The “14th Five-Year Plan for the Development of Intelligent Manufacturing” clearly states that the penetration rate of my country’s industrial Internet platforms should reach 45% by 2025. As the new engine of China’s intelligent manufacturing, AI will inevitably accelerate this process in the deep integration with the industrial Internet, linking the construction of a manufacturing power, a network power and a digital China in the digital economy era, and finally bringing new impetus to industrial transformation and upgrading , injecting new kinetic energy into the high-quality economic development – to a certain extent, this is no longer the future, but is still in progress.

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