Author | Wu Xingling
Exhibition | CSDN (ID: CSDNnews)
According to the Institute of forward-looking information display industry, in 2018, China's Internet industry industrial market reached 531.304 billion yuan, is expected in 2023 will exceed trillion.
In fact, as early as 2017, the State Council issued "guidance industrial development of the Internet" "on deepening the" Internet + advanced manufacturing, showing that the Internet industry has risen to the national strategic level. 2018, the Ministry of Industry and Information Technology issued "Internet App foster industrial project implementation plan (2018-2020 years)," proposed that by 2020, the industry-specific, a particular scene, cultivate 300,000 high-value has important significance of support, high-quality industrial Internet App.
So how to get things energized industrial implement and achieve the transformation truly intelligent production, helping digital transformation of the whole plant? Things association LeapIOT internet access via the terminal, the edge calculation, real-time data, stored in time series, the digital twin, insights, around the device, the core data, address industrial enterprises manufacturing industry terminal connection, cooperative system, data analysis requirements.
Why LeapIOT emphasis on equipment, data-centric? January 16, Lenovo Group's business intelligence data media round table conference, Lenovo Group's chief scientist, vice president, National Engineering professor Chen Tao in the LeapIOT past lives.
Three Challenges
To Chen Tao he said, facing in the manufacturing of digital, intelligent process technically three challenges, one data difficult to collect, because of the large IoT devices, many kinds of agreements; the second is difficult to apply huge amounts of data, mass data is difficult unified analysis; the third is to make industrial mechanism and artificial intelligence technology, how to help users solve real problems, and drive to build new industrial App.
In addition, for developers, if you want a complete industrial scene, we need to master many skills: such as taking data from a device, due to the traditional industrial software is written in C ++, developers should be familiar with C ++; Today, a new generation of software industry is a lot of research and development with C #, C # developers but also to understand; when the algorithm needs to be familiar with Python or R language; because many MES systems or ERP system is written in Java, Java developers need to understand; The front-end interface design needs to understand the technical ......
To help developers and businesses faster and more easily analyze and research the Internet industry, LeapIOT combination of things, big data, AI technology, processing technology stack reconstruct the entire lower edge of the code by way of micro-services, allowing developers to further simplify, edge architecture while achieving the integration process support, and rich protocol configuration. By way of computing configuration and timing, to build a digital image solution, allowing developers to basically do not write too much code, with a low code or a simple drag pulled this way will be able to build applications. When the application released, can be seen and can run on the phone, the customer site and a large screen.
LeapIOT advantage
So LeapIOT how to help developers to build Internet applications industry do?
1, widely applicable to all types agreement to resolve device "last kilometer" access, support for hundreds of devices and protocols of access.
(1) Industrial equipment: such as PLC, CNC, cameras, sensors and other instruments;
(2) major industrial protocol: The BACnet, POWERLINK the like;
(3) to support IT data and systems integration: Oracle, elstic, kafka and so on.
In order to get through comprehensive data access capability field production equipment, industrial software reduces data acquisition costs.
2, data management: the time series data of high-performance mass analysis capabilities, IT / OT Analysis of data access satisfying mixed.
The platform provides time-series data read and write, storage, computing, integrated analysis capabilities as well as external development capabilities, providing high performance solutions based data management and distributed architecture, through flexible architecture, flexible expansion, support for ten million points of data collection real-time read and write.
3, data calculation: Code by the pull low flow calculation engine, thus reducing the threshold for application data analysts and engineers algorithm.
The computing platform using visual flow design, provide more than 120 calculation functions, aggregation algorithm 10 kinds, the developer may be based SDK extension component according to actual needs and a custom function extension.
4, twin Data: physical characteristics of the device support digital data API services and equipment of the simple and complex programming models.
To Chen Tao Road, when the collected IT data, if a single data point is insufficient, because the cloth a device has many points, such as a robot dozens of data collection points, respectively, to control the operation speed of the robot, the direction of the angle crawl speed state, and the like. Then we can build a data model twin, associate relations point of programming and development, such as a problem occurs, you can test whether it is by modeling this point leading to the robot does not work.
By powerful data modeling capabilities, industrial signals, timing data, physical status, device information into a digital object's properties, methods, events, digital physical description of the object, digital mapping, mode of operation and the reduction mechanism of the device in the digital world . Finally, in an integrated manner, such as a robot would be arranged in a number of production lines similar to the production environment to help developers better manage the robot, CNC and other complex industrial equipment.
5, support for physical devices and equipment twin model visualization release, once constructed, mobile, large screen, billboards can be viewed.
On this platform, developers can be visual drag-style development, there are 100 kinds of generic equipment and basic graphics primitives, 200 kinds of electronics, machining, automotive industry primitive equipment, research and development after the completion of the product can be directly released , the application can be viewed in a mobile terminal, PC side, the PAD or micro-channel applet.
6, convenient Smart: + simplified model training precast industry templates
Because some developers in the industrial field do not quite understand how to build AI algorithm, so a new platform to build intelligent analysis tool that provides natural language analysis, keyword extraction, image classification AI and other deep learning and industry-wide template algorithms, developers simple data analysis AI algorithms to be used in the scene, then you can build through this platform.
In addition to technical challenges, as of the end of 2018, the Ministry of Statistics has 269 industrial internet platform, so many platforms, the developers also face the problem of selecting which platforms to develop.
At the meeting, the association experts recommend core platform of choice for developers is nothing more than two things: First, to eventually create a closed-loop value and business value to users, allowing developers to quickly and at low cost, fast to make money; second is to allow partners to reduce development costs, can make money.
For the development of the Internet industry, to Chen Tao and we believe it will be the same as the development of cloud computing. Looking back ten years ago in spite of worldwide cloud platform is not much, but after decades of development, now almost every vendor has its own cloud platform, cloud computing development boom . So he believes will be the future of the Internet industry segments are classified by industry, field, has a good momentum of development.
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