Putting "paper" on "cloud" is a battle to upgrade data.

  Manufacturing equipment is the threshold line of the manufacturing industry level, and often determines the ceiling of the manufacturing industry's upward breakthrough. When the manufacturing industry begins to seek digital and intelligent transformation, how manufacturing equipment can keep up with the needs and speed of transformation has become a major challenge for many equipment manufacturing companies in the new era.

  On February 14th, in the "Lenovo solution service, accompanying every step of intelligentization" launched in Beijing, Shenzhen, Wuhan and other airports, in Lenovo's new advertisement, Goss Graphic Printing System (China), one of the world's largest printing machinery equipment manufacturers ) Co., Ltd. (hereinafter referred to as "Goss (China)"), as one of the 17 case companies displayed by Lenovo, has set a benchmark for the intelligent transformation of China's traditional manufacturing industry.

  From equipment manufacturing to full-cycle service, the transformation challenge of Goss

  Goss (China), with a history of more than 80 years, is a leader in the printing machine manufacturing industry in China. After many innovations in the industry, Goss (China) always believes that service is the soul of enterprise development. At the moment when digital technology is comprehensively and deeply revolutionizing all walks of life, the digital transformation of the printing industry has also been fully launched, seeking a methodology for building smart factories. As an equipment manufacturer, it is necessary not only to provide high-quality and high-tech production tools, but also to build a modern service system to provide accompanying services for customers' business upgrades and iterations.

  At this time, the leader in equipment manufacturing needs to carry out a transformation from one-time delivery to continuous maintenance, but Goss (China) faces three major challenges:

  First of all, data mining is limited by equipment: Existing equipment cannot realize the effective collection, management and processing of production data. For end users, it is difficult to understand the operation status of equipment and mine the value of data.

  Secondly, after-sales operation and maintenance are highly dependent on manual debugging: the printing equipment produced by Goss needs to be manually debugged and maintained on site. The operation and maintenance management costs are high and the response speed is slow.

  In addition, the printing industry is a highly data-sensitive industry with high data confidentiality requirements. While realizing the digital transformation of equipment and services, it is also necessary to achieve high information security.

  After hesitating around, Goss (China) found Lenovo, a solution provider for intelligent transformation services.

  Lenovo and Goss (China) cooperated in depth to communicate pain points and needs, understand the industry and technical characteristics, and finally customized a set of LeapIoT Internet of Things platform based on Lenovo Huitian intelligent gateway and Lenovo self-developed for Goss (China), and The intelligent operation and maintenance solution that can meet the requirements of independent control, with differentiated printing equipment and service advantages, helps Goss (China) to build a benchmark for intelligent upgrading of the printing manufacturing industry.

  Move the printing press to the "cloud"

  Effective data collection and rapid analysis in a complex production environment are the basis for building a smart factory. However, there are many types of industrial equipment, and the data standards and communication systems are complex, making it difficult to achieve efficient data transmission and effective integration.

  To this end, Lenovo has created a full-chain one-stop production data management platform for Goss (China), including data collection, transmission, and visual control.

  In terms of data collection, Lenovo Smart Gateway ECG series products support mainstream industrial protocols and can efficiently complete cross-protocol data collection in complex equipment environments. And with solid and stable performance, 7 * 24 hours of stable operation, all-weather stable collection of equipment operating status data.

  In terms of data integration and presentation, based on the self-developed LeapIoT industrial IoT software platform, Lenovo supports the data access of more than 200 types of industrial equipment, and simultaneously puts the collected data analysis, integration and presentation on the digital kanban, which is intuitive and convenient. Quickly display all-round data such as equipment operation and maintenance, and generate traceable data records, which provide important decision-making reference for further optimizing quality control and help customers realize data-driven refined printing production management.

  In order to solve the operation and maintenance problem, Lenovo has built a data-based predictive maintenance capability for Goss (China) based on the LeapIoT platform. By analyzing the motor torque, temperature, usage time, water tank temperature, conductivity, PH value, and equipment collected by the edge gateway Real-time equipment operation data such as energy consumption and fuel tank temperature can accurately locate the maintenance time of each component, so as to minimize the downtime, keep the equipment running stably for a long time, and realize the optimization of revenue.