The turning point in the development of manufacturing has arrived.
With the State Council's release of the "New Generation Artificial Intelligence Development Plan," the national artificial intelligence strategy layout has officially blew the horn. According to CCID Consulting's forecast, by 2019, China's artificial intelligence market will exceed 43.9 billion yuan, and the compound annual growth rate of China's artificial intelligence market will reach 22.8% in the next three years. Emerging applications such as smart home, AR, and face payment gradually mature, smart cities and intelligent manufacturing continue to deepen, which will drive China's artificial intelligence market to maintain steady growth.
Among them, the reinvention of the manufacturing industry by smart technologies is of particular concern. At the Baidu Yunzhi Summit 2017 held in September, Shougang Group, as a representative of traditional steel companies, conducted a demonstration of the use of artificial intelligence technology to detect and identify defects in steel plates. Within a few minutes, Baidu ABC integrated machine detected 9714 normal steel plates in 10,000 steel plate images, with red, folds, and holes of 280, 3, and 2 respectively—accuracy rate exceeding 99.9%.
In September 2017, Ruan Guoping, general manager of Beijing Shougang Automation Information Technology Co., Ltd. (hereinafter abbreviated as Shougang Information) pointed out that “the biggest pain points in China’s steel industry include the ability to automate quality control and production equipment, and introduce advanced AI technology. Shougang Steel hopes to make significant progress in the intelligent identification and classification and retrieval technology of steel products and improve the quality control efficiency."
The improvement of the quality control efficiency of steel products through intelligent technologies is only the tip of the iceberg of intelligent manufacturing. According to McKinsey’s global managing partner, Wang Ping, told reporters from the 21st Century Business Herald that "from the customer's order to after-sales service, smart manufacturing technology will change the entire life cycle of commercial products."
Intelligent transformation
In the iron and steel industry, there are many practical applications for smart technologies.
According to Li Wei, deputy general manager of Baosteel Engineering Technology Co., Ltd. and general manager of Shanghai Baosteel Industrial Technology Service Co., Ltd., “Because the ladle is a moving object with high temperature, the traditional means cannot realize the state perception of the ladle, and the unperceived ladle has affected the steel plant. The important factors of efficiency, cost, energy consumption and safety."
The cooperation between Baidu Cloud and Baosteel Technology has solved this problem to some extent. The Tiangong Intelligent Internet of Things developed by Baidu Cloud first realized the dynamic collection of operating temperature and pressure through the intelligent transformation of traditional ladle, supplemented by thermal imaging visual monitoring technology to form the ladle status information “black boxâ€. Subsequently, ladle status information was transmitted to the tiangongda data platform. Using the computing power and artificial intelligence technology of Baidu cloud platform, the data was analyzed, diagnosed, and forecasted in a holistic manner, allowing the ladle to penetrate from a perceptual state to a cognitive realm. Chemical production, equipment safety, energy saving, and supply chain optimization decision support.
In addition to the steel industry, smart technologies have begun to penetrate in other industries.
Shanghai Zhenhua Heavy Industry (Group) Co., Ltd. (ZPMC) is the leader in port machinery. The company's port machinery has been sold to 93 countries and regions, with a global share of 82%. On May 11, 2017, the first fully automated container terminal in Asia, Qingdao Port, was put into use. Zhenhua Heavy Industry provided seven shore bridges, 20 automated orbital cranes and 38 L-AGV automated guided vehicles and docks. Equipment control management system.
It is understood that the design efficiency of the terminal is 40 natural tanks per hour, which is 30% more efficient than traditional terminal operations and 85% reduction in operating personnel. It is the container terminal with the highest degree of automation in the world and the fastest loading and unloading efficiency.
"In addition to ZPMC, in the energy industry, such as Concord New Energy and Vision Energy, we use the Internet of Things technology on Microsoft Azure Cloud to collect the data collected by sensors into a database and then perform data analysis to perform hardware analysis. Monitoring and Optimization.†Bao Jiafeng, vice president, omni-channel business unit, business customer division and general manager of cloud computing strategy at Microsoft Greater China, told the 21st Century Business Herald reporter.
Technical transformation transformation speed
Although some domestic companies have begun to test water and achieved certain results in the process of intelligent transformation, but for more companies, still perform poorly in this piece.
According to Accenture's research report "Discovering New Kinetic Energy: How Chinese Manufacturing Wins the Digital Economy" recently, only 4% of China's manufacturing companies have become "digital leaders", converting digital input into excellent operating performance. 19% of companies are classified as “digital practitionersâ€, and these companies have begun to build digital capabilities, but they have not seen any significant improvement in their operations. 19% of the companies are called "traditional business leaders." They have not paid attention to digital capabilities and rely on their past accumulation to maintain their operating advantages. Most (58%) companies have performed poorly in terms of digital input and operating performance.
Digital input is the premise for achieving intelligence. “Digital manufacturing is the process of using digital technology and advanced manufacturing technology in the entire product life cycle to realize the simulation and prototyping of product design and functions,†pointed out Wang Taiyong, of the School of Mechanical Engineering at Tianjin University.
More than half of Chinese manufacturing companies have performed poorly in terms of digital input and operating performance, which means that there are still a large number of companies that have not yet embarked on a smart road. Bao Jiafeng emphasized to the 21st Century Business Herald reporter that “the speed of digital transformation of enterprises depends on the speed with which the old process will be transformed. In this process, technological transformation will be faster, and human transformation will be slow.â€
For example, the traditional way of building buildings is to set the number of floors, the capacity of the people, their use, and then design and build them. Today, they can be quantified with more technical means. By deploying sensors in the old building and observing for a period of time, you can understand the flow of people in the building, the temperature, the functions of each area, etc. You can refer to the design when building a new floor.
However, in China's manufacturing industry, there is indeed a situation in which companies have a sense of transformation but they have no way of starting. This is reflected in the lack of a clear allocation of responsibilities and a clear road map for the digital transformation of enterprises. According to the McKinsey survey, only 9% of Chinese respondents believe that their companies have a clear distribution of responsibility in the area of ​​smart manufacturing, and only 6% have a clear road map.
“My suggestion is to start with a business module and gradually try to digitize it.†Bao Jiafeng emphasized that “In the enterprise, there will always be some less sensitive data or new product lines. You can test the water first. Digitization is A process that needs to be gradually adapted."
What are the best batteries for solar? Batteries used in home energy storage typically are made with one of three chemical compositions: lead acid, lithium ion, and saltwater. In most cases, lithium ion batteries are the best option for a solar panel system, though other battery types can be more affordable.
If you install a solar battery today, you will likely need to replace it at least once to match the 25 to 30 year lifespan of your PV system. However, just as the lifespan of solar panels has increased significantly in the past decade, it is expected that solar batteries will follow suit as the market for energy storage solutions grows.
The most important ones to use during your evaluation are the battery`s capacity & power ratings, depth of discharge (DoD), round-trip efficiency, warranty, and manufacturer. Capacity is the total amount of electricity that a solar battery can store, measured in kilowatt-hours (kWh).
Batteries used in home energy storage typically are made with one of three chemical compositions: lead acid, lithium ion, and saltwater. In most cases, lithium ion batteries are the best option for a solar panel system, though other battery types can be more affordable.
12V Solar Battery,Solar Battery Storage,Solar Deep Cycle Battery,Lithium Batteries For Solar Systems 12V
Shenzhen Glida Electronics Co., Ltd. , https://www.szglida.com