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2017-06-28
Industrial Internet widely used "industrial 4.0" era is coming, Shanghai manufacturing enterprises how to act as?
June 23 at the Jinqiao Industrial Technology Innovation Conference, Shanghai Zhenhua Heavy Industry (Group) Co., Ltd., Shanghai Industrial Technology Research Institute of experts introduced the progress of cooperation between the two sides. The use of sensors, large data, artificial intelligence, cloud computing, 3D simulation technology, Zhenhua Heavy Industry has been able to achieve the basic port of the remote monitoring and diagnosis, to provide users with "4 hazard warning" and other services. According to the plan, the company will be completed in the second half of next year, the system, and access to 10 port aircraft; 2019 into the marketing phase, to provide remote diagnostic services for users around the world.
Zhenhua Heavy Industry Chief Engineer Yan Yunfu introduction, the use of industrial Internet technology, to provide users with remote monitoring and diagnostic services, manufacturing enterprises are the international trend of transition. At present, the company's Hong Kong machine products global market share as high as 82% in Europe and the United States market, the share is more than 90%. Therefore, they are actively working with information technology companies, universities and research and development institutions, equipment for the installation of "brain" and "perception system", and strive to achieve global value-added services.
As the Shanghai Science and Technology Commission to build the R & D and transformation of functional platform, the Shanghai Industrial Technology Research Institute and Shanghai Suochen Information Technology Co., Ltd., set up a simulation design project (joint) laboratory for Zhenhua heavy equipment to provide intelligent technology support. Laboratory Director Chen Hao told the Liberation Daily News reporter, they have developed a "based on intelligent analysis of the main model of the analysis system", the Hong Kong aircraft on a variety of physical sensors to collect data into the 3D simulation model, and with the "virtual sensor "Data fusion, to achieve the overall load of port aircraft real-time analysis, the key components of the fatigue life prediction and other functions. "The so-called virtual sensor, we will be the physical sensor to collect the data and simulation data combined to calculate the port machine who did not install the sensor key points of stress, vibration, temperature and other data." Chen Hao explained.
In addition to cooperation with the Shanghai Institute of Industry, Zhenhua Heavy Industries in September last year also signed a strategic cooperation agreement with Microsoft, with Microsoft cloud services to create "cloud assessment platform." Zhenhua Heavy Industry Project Manager Dr. Li Wenjun introduction, the platform assessment method is divided into three categories: expert evaluation, expert assessment combined with probability statistics, expert assessment, and probability statistics combined with artificial intelligence. Why should we introduce the depth of learning artificial intelligence system? Li Wenjun said that after the aging of the machine, their safety assessment indicators should be different from when not aging, just as the elderly's physical health indicators cannot be the same as young people. However, how does the safety assessment of the aging of the port machine develop? Experts are unable to understand, artificial intelligence can show their talents, through the depth of the Hong Kong airport data to continuously update the indicators, and ultimately draw a series of scientific values.
The software developed by the Shanghai Institute of Industry and Development has the function of real-time analysis of the overall load of the harbor
"Our goal is to provide global users with the" full life cycle "of the predictive operation and maintenance services, to the digital terminal integrator transformation." Li Wenjun said. This service is of great value to the safety of the production of the port. For example, in the diagnosis of structural hazards, the remote monitoring and diagnosis system can provide "4-stage hazard warning": After monitoring the deadly crack, issue a class I warning, the first time Remote control forced shutdown, and report the location of the user's fatal crack; to monitor the hinge anomalies, orbit after the release, issued a class Ⅱ warning; monitoring the abnormal vibration of the bridge, issued a class III warning; storm comes, to monitor a wide range After the crack, issued a class Ⅳ warning. Ⅱ, Ⅲ, Ⅳ level warning will not force the shutdown, but to remind users to check and repair in a timely manner. In addition, the system can provide users with a "equipment health assessment report" every month, it is recommended that users replace some spare parts; but also for the terminal to establish a work with a single function of the database, to achieve intelligent operation and maintenance.