标签归档 佛山桑拿蒲友网

Exploring Smart Factory: How to Improve the Efficiency and Competitiveness of Manufacturing Industry

Smart factory refers to a modern factory that uses advanced technologies and means such as Internet of Things, artificial intelligence and big data to achieve the goals of production process optimization, efficiency improvement, quality improvement and cost reduction through digital, intelligent and automated production methods and management modes. The construction of smart factory is one of the important directions of digital transformation of manufacturing industry, and it is also the inevitable trend of future factory development.

Advantages of smart factory

Smart factory adopts brand-new production mode and management mode, which has the following advantages.

Improve production efficiency

The smart factory has realized the digitalization and intelligence of the whole process, and the production planning, material management, production control, quality inspection and other links have all realized automation and intelligence, which greatly improved the production efficiency. Smart factories can further improve production efficiency and quality through big data analysis and optimization.

Production cost reduction

The smart factory adopts technologies such as automation equipment and robots, which realizes the automation and robotization of the production process and greatly reduces the production cost. Smart factories can further reduce production costs through the optimization and coordination of production processes.

Product quality improvement

Smart factory adopts intelligent production mode and detection technology, which can monitor and detect every link in the production process in real time to ensure the stability and reliability of product quality. Smart factories can further improve product quality and reliability through big data analysis and optimization.

Production flexibility and customization

Smart factory adopts flexible production methods and intelligent production equipment, which can quickly respond to market demand and realize flexible production and customized production. Smart factories can also further improve production flexibility and customization capabilities through big data analysis and optimization.

Application Scenarios of Smart Factory

Smart factories have a wide range of application scenarios, covering all fields of manufacturing. Here are a few typical application scenarios.

Automated production line: Smart factories can adopt automated production lines to realize unmanned production and automated management. This can greatly improve the production efficiency, reduce the production cost, and also reduce the impact of employees’ work intensity and human factors on product quality.

Networked equipment management: Smart factories can realize networked management of equipment through Internet of Things technology, thus realizing real-time monitoring, maintenance and maintenance of equipment status. This can avoid equipment failure or shutdown and improve the stability and reliability of the equipment.

Data analysis and prediction: Smart factories can adopt big data analysis and artificial intelligence technology to optimize and improve the production process through the analysis and prediction of production data. For example, the supply of raw materials and production plan can be predicted, so as to adjust the production speed and output of the production line and improve production efficiency and capacity utilization.

Intelligent logistics and warehousing management: Smart factories can realize the intelligence and automation of logistics and warehousing management through the Internet of Things and artificial intelligence technology. For example, the automatic transportation of goods can be realized by intelligent logistics vehicles and drones, and the automatic storage and management of goods can be realized by RFID tags and intelligent shelves.

As the first batch of digital industrial Internet technology group enterprises in China, Zhidian focuses on realizing digital transformation for enterprises. By building an industrial Internet digital platform and integrating procurement, production, sales, logistics, warehousing, management and all aspects of business, not only can energy management be visualized, online and integrated, but also the efficiency of the overall enterprise organization can be significantly improved, which is manifested in the improvement of internal process efficiency, resource or asset utilization rate and operational agility. Improving the efficiency of internal processes can speed up the decision-making process and reduce the waste caused by waiting for decision-making instructions.

With the help of big data, cloud computing, Internet of Things and other technologies, the digital platform of Zhidian Industry solves the problem of data islands existing in the informatization process of manufacturing enterprises and realizes the whole process management of the upstream and downstream of the supply chain. Through the analysis and application of all-factor industrial big data, the original production process of the enterprise is optimized and improved to achieve energy conservation and emission reduction and reduce labor costs. This whole digital management mode no longer depends on the skills and experience of workers, but also reduces the possibility of mistakes, greatly improves production efficiency and product quality, and greatly shortens the production cycle of products.

In general, the application scenarios of smart factories are very extensive, covering almost all aspects of the factory. By applying the technology and concept of smart factory, enterprises can improve production efficiency and quality, reduce production costs and improve the safety of factories, thus enhancing their competitiveness and market share.

In the future, with the development of new technologies such as Internet of Things, big data, cloud computing and artificial intelligence, smart factories will become more intelligent, efficient and flexible, and become an important driving force for industrial upgrading and transformation.

The official announcement of "Mantianxing" enterprise giant network: it will obtain the ability of priority integration ChatGPT.

Recently,

Nan ‘an District and Chongqing Economic Development Zone

"Mantianxing" Enterprise Giant Network

Confirm that you will access Baidu’s new artificial intelligence products.

"Wen Xin yi Yan",

Become the first batch of ecological partners,

It is also the first to access this AI platform.

Domestic game enterprises.

Giant network will get

Give priority to integrating ChatGPT-like capabilities,

Work together to create a joint solution for the game industry.

"Wen Xin yi Yan"

It is reported that,"Wen Xin Yi Yan" (English name: ERNIE Bot) is a generative dialogue product launched by Baidu based on Wen Xin Big Model technology.At present, "Wen Xin Yi Yan" is doing all the preparatory work before going online, and some functions have been online or tested in Baidu search.

According to reports, Giant Network will be able to give priority to the internal test experience and integrate the technical ability of Wenxin Yiyan, and carry out in-depth exploration and cooperation with Baidu in game product research and development, standard setting and other fields. With the assistance of Baidu technical team, we will create a joint solution for the game industry and apply it to game business applications such as game marketing, game NPC and game original painting design.

The relevant person in charge of Giant Network said that he is very optimistic about the contribution of AIGC related technologies to the transformation and efficiency improvement of game content production methods, and will continue to increase investment in "game +AI" in the future.

In recent years, generate, the dynamic software information industry in Nan ‘an District and Chongqing Economic Development Zone, has vigorously promoted the development of software industry with characteristics, agglomeration and branding in accordance with the general idea of "laying the foundation in one year, achieving results in two years and developing in three years".

Next, the whole region will continue to consolidate the status of the city’s "first phalanx", strive to reach the scale of 100 billion, and strive to become the "brightest star" among the "stars all over the sky".

Data Port released its 2022 annual results: the net profit was about 115 million yuan, which provided computing power to widely support the development of artificial intelligence, AIGC and other field

21st century business herald reporter Guo Meiting reports from Guangzhou.

On the evening of March 10th, Shanghai Dataport Co., Ltd., a data center service provider, disclosed its 2022 annual report.

The report shows that the operating income of Data Port in this period is 1.455 billion yuan, up 16.88% year-on-year, mainly due to the increase in operating income generated by delivered projects; The net profit attributable to shareholders of listed companies was 115 million yuan, down 5.45% year-on-year, which was due to the large-scale data center put into operation in the early stage, resulting in a large short-term increase in fixed assets and their depreciation; The net profit attributable to shareholders of listed companies after deducting non-recurring gains and losses was 94,580,500 yuan, down 13.69% year-on-year, mainly due to the depreciation of fixed assets and the increase in operating costs after the project delivery; The basic earnings per share is 0.35 yuan. The company plans to distribute a cash dividend of 0.44 yuan for every 10 shares, and transfer 4 shares to all shareholders for every 10 shares with capital reserve.

From the perspective of overall business, the report shows that the data port has been built and operated in the hub nodes of Beijing-Tianjin-Hebei, Yangtze River Delta and Guangdong-Hong Kong-Macao Greater Bay Area, from Wulanchabu and Zhangbei in the north to Shenzhen and Heyuan in Guangdong in the south. By December 31, 2022, the operating IT megawatt reached 371MW, which was converted into about 74,200 standard cabinets of 5 KW, which can support large enterprises. With the increasing business demand of end customers, the data center cabinets that the company has put into operation are gradually powered on.

In 2022, Data Port further increased R&D investment, with R&D expense of 67.8553 million yuan, an increase of 27.67% compared with the previous year, which was mainly used to set up a number of key technical improvement projects, such as active data center cooling system, data center high cooling efficiency system, data center integrated centralized management and control system, distributed information security operation and maintenance management platform based on big data, and computer room intelligent operation and maintenance control platform.

According to the financial report, the data port is currently facing risks such as high customer concentration and intensified market competition. In the next three to five years, the company will speed up the layout, build a wholesale data center with its own resources, continue to improve service quality and profitability based on the current layout of East China, North China and South China, and explore open market mergers and acquisitions to achieve outreach development; At the same time, consolidate the main business of data center hosting and actively expand services such as hybrid cloud and private cloud suitable for different needs of customers; Continue to cooperate with head cloud computing operators, with government and enterprises, operators, head Internet enterprises, financial enterprises, etc.

In addition, DataPort said that it will build a green and low-carbon data center. On the one hand, it will enhance the fineness of operation and maintenance management and improve energy efficiency by adopting various new energy-saving technologies, and make the PUE value as close as possible to "1"; On the other hand, by participating in green energy trading, developing distributed clean energy projects and other channel combinations, the proportion of clean energy will be increased, and finally carbon neutrality will be achieved.