Linghua Technology-ADLINK, A represents Analog (analog), D is Digital (digital), ADLINK means that the two are perfectly connected and converted.
From the era of electrification and automation to the era of informatization and digitalization, Linghua Technology, which has been established for 25 years, has changed its role with the rapid development of China's manufacturing industry and has changed its role with the pace of technological change: from being committed to technological innovation in the fields of measurement, industrial computers and automation applications, it has become a world-class leader in communications, embedded computing platforms, measurement and automation equipment manufacturing, to providing the world's leading edge computing solutions based on its existing advantages. Linghua Technology's transformation highlights the progress of the times, and also reveals the pain points facing China's current manufacturing upgrading: how to integrate IT, OT and CT technologies to create a smarter, flexible, and cost-effective smart factory .
Faced with this general problem, Linghua Technology has combined its deep accumulation of comprehensive modular data acquisition and networking in industrial control, machine vision, data acquisition, computing platforms, etc., to create a Vortex Data River™ data sharing platform in a different way, connecting the equipment, personnel and assets of the factory, breaking the barriers between IT and OT, allowing data to be transmitted freely end-to-end, point-to-point, giving each edge device intelligence, and building a real factory of the future. Taking advantage of the opportunity of the 2018 Industrial Expo, gongkong® CEO Pan Yingzhang and Lingkong Technology Chairman Liu Jun face to understand Lingkang Technology's smart IoT strategy.
Linghua Technology Chairman Liu Jun [right]
gongkong® CEO Pan Yingzhang [left]
In the digital age,
Industrial control machine has been given a new historical mission
Intelligent manufacturing needs to realize the comprehensive digitalization of the factory, so as to facilitate data exchange and comprehensive and timely monitoring of the process flow, to achieve optimal performance and maximization of production capacity. PC-based industrial control machine has become one of the main driving forces leading the comprehensive digitalization of smart factories. Why do
say so? At present, many traditional manufacturers are facing a current situation that more than 85% of traditional current equipment are in a situation where they cannot be connected to the Internet, and many times these equipment are not digital, or the devices, controllers, or control languages that can be connected to the Internet are incompatible and cannot monitor their operation through a single platform. These industrial enterprises want to actively embrace intelligent manufacturing technology, but they have the will but lack the ability.
"Whether we call it the Internet of Things (IoT) or the Industrial Internet of Things (IIoT), its main purpose is to lay intelligence into every OT side and every object." Liu Jun said that how to make things intelligent requires two conditions. First, you need to have enough hardware or software to support reasoning (big data analysis). The most talked about in the past two years is to make the accuracy of reasoning more and more through machine learning and deep learning. Intel, Google and even many domestic manufacturers are making so-called reasoning chips. But more importantly, it is to bring intelligence to the edge, in other words, to make things have the ability to be intelligent. Second, the so-called intelligence of objects means that objects can make correct decisions independently, and the prerequisite is to make correct reasoning based on sufficient correct information.
is based on the new demands of the development of the digital age. Industrial control computers are gradually moving from simple computing control to intelligent IoT applications. As more and more applications are combined with the Internet of Things and artificial intelligence, pushing intelligence and computing to the edge of data generation (Edge Computing) to meet the needs of large amounts of data processing and immediate responses generated in application terminals.
Intelligent Internet of Things,
needs to connect IT, OT and CT
Some people say that Industry 4.0 enables the integration of IT and OT. This is undoubtedly correct, but it is still insufficient. If the integration scope is added to communication technology (CT), it can accelerate the implementation of digital manufacturing transformation.
"When we talk about the intelligent Internet of Things (AIoT), many people will mention cloud. The most important thing about cloud is big data, and then through analysis, or various different computing methods, we can find some future trends or ideas (decision making)."Liu Jun said, but if we look at it from the perspective of end and edge, if the edge device wants to provide quick and correct feedback to each instruction, we must first provide it with corresponding data quickly. For example, when an autonomous vehicle encounters an intersection, it should go straight, turn left or right, and it needs to give feedback immediately, rather than make a decision on the cloud. This process must consider timeliness. "Solving a problem must be timely, which is what we often call real-time. If you analyze the conclusion without considering the timeliness, no matter how good the analysis results are, it will be meaningless. "
Back to the topic of smart Internet of Things, why does Linghua Technology insist on moving from the cloud to the edge to solve the real-time problem. Liu Jun takes 5G as an example. Its transmission rate is increased by 10 to 100 times, its peak transmission rate reaches 10 Gbit/s, its end-to-end delay reaches ms level, the density of connected devices increases by 10 to 100 times, the traffic density is increased by 1000 times, and the spectrum efficiency is increased by 5 to 10 times, which can ensure user experience at a speed of 500 km/h. In short, 5G signals have faster speeds, smaller latency, and more terminals can be accommodated.
"We believe that in addition to the IT and OT interoperability that we have to solve in the past, CT real-time must also be considered. The integration of the three solves the problems of efficiency and efficiency. If you can't control the time, there is actually no way to apply it in the industrial field. "Liu Jun said.
Data River,
gives each edge device intelligence
Linghua believes that to build a factory in the future, you need to master three key factors: first, digitalization, faster product life cycle, more flexible overall operation of the factory, and higher production efficiency; second, intelligence, especially edge platform intelligence, drives intelligent decision-making through real-time data; third, unmanned, with the development of deep learning and artificial intelligence, the ultimate goal of unmanned factories will be finally achieved.
In terms of the actual operation of the factory, the bottom-up overall architecture from the underlying equipment to the cloud is most well-known to the industry. Linghua Technology's innovative move is that it has opened up a east-west Vortex Data between IT and OT River™. This data sharing platform provides an intermediate layer for real-time connection between objects.
Vortex Data River™ data sharing platform
For this reason, Linghua Technology also provides a true end-to-end Edge IoT solution to ensure that the data in industrial manufacturing systems is transmitted to the right place in the correct format, at the right time, and at the right time. DEX Edge IoT combines OCR technology based on deep learning algorithms to realize data extraction in a non-invasive way, which can improve production line operation stability and improve production capacity without any impact on the original equipment. The system unifies the different data formats of traditional equipment into standard data through the VGA interface, which can accelerate deployment and save costs. Moreover, when extracting data, it will not visually interfere with the user's operation interface, and can clearly present the device's working information, and through Vortex Data The River™ platform enables full-process data sharing between devices, creating an efficient management site.
uses intelligent edge computing products and solutions (such as IoT gateways, intelligent edge computing vision platforms, digital/analog data acquisition solutions, data extraction solutions for old devices), and Vortex Data River™ platform, Linghua Technology can help traditional manufacturing companies build smarter, flexible, and cost-effective smart factories.
Take an electronic manufacturing company as an example. Most of its machines and equipment are old models, without open APIs and log files, and the operating system is also very outdated. It is a "single-stop" device and cannot be compatible with today's Internet of Things architecture. Therefore, they encountered severe challenges when entering the intelligent manufacturing environment. With the help of Linghua Technology's intelligent equipment, they use non-invasive low-risk data extraction method and combined with OCR technology to collect equipment information through HMI, which not only maintains the continuous and stable production of the equipment, but also synchronizes OT (equipment) and IT (management) information, forming an intelligent manufacturing enterprise architecture, completes the automated import of the entire production line with the minimum manpower and material cost, and quickly deploys the factory production line Internet of Things, comprehensively enhances its market competitiveness.
It is worth mentioning that when an enterprise passes device information into the Vortex Data River™ platform, any IT provider, whether it is a cloud provider, ERP provider, or MES provider, can "salvage" the information they need from "Data River" to quickly solve the upper-level integration problem.
According to Liu Jun, in the next three to five years, Linghua Technology will focus on two major areas: one is to focus on the end (edge), and the other is to give each edge device intelligence to promote the implementation and development of China's intelligent manufacturing.
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