The hottest way of intelligent transformation in m

2022-07-23
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The way of intelligent transformation in manufacturing industry - Industrial IOT is the core foundation of industry 4.0. It uses communication technologies such as local network or interconnection to connect sensors, controllers, machines, people and goods in new ways to form a network of people and things, things and things, and realize informatization, remote management and control and intelligence, so as to maximize the efficiency of machines and the throughput of the whole work. The enterprise has set off an upsurge of industrial IOT application

Hongya aluminum plant will be shelved for 3 years for resource reuse (the original Hongya aluminum is a project that plans to process 200000 tons of aluminum alloy profiles, 300000 tons of aluminum production lines and build corresponding auxiliary facilities every year.

industrial IOT is the core foundation of industry 4.0. It uses communication technologies such as local network or interconnection to connect sensors, controllers, machines, people and goods in new ways, forming a network of people and things, things and things, and realizing informatization, remote management control and intelligence, So as to maximize the efficiency of the machine and the throughput of the whole work. With the continuous promotion of intelligent manufacturing strategy and the gradual deepening of enterprise transformation, the application value of IOT in industrial transformation has become increasingly prominent. Enterprises have clearly realized that in order to realize intelligent decision-making and automatic production, the comprehensive interconnection of man-machine and objects is indispensable. At present, the industrial IOT boom has spread all over China, and has become the focus of attention of the government, manufacturing enterprises, Internet companies, IOT companies, telecom operators, it and automation manufacturers. According to IDC, the overall expenditure of the global IOT in 2017 will increase by 16.7% year-on-year, slightly higher than US $800billion. The report predicts that the global IOT expenditure will reach US $1.4 trillion by 2021. This includes enterprises' investment in IOT hardware, software, services and network connections. In terms of different industries, manufacturing and transportation will still be the industries that receive the most investment, with us $183billion and US $85billion respectively

for most enterprises, although IOT technology has existed for decades, its application scope is limited to operational activities, and the potential of data has not been fully released in enterprises. With the development of connectivity technology, big data management, business analysis and cloud technology, we can now integrate operation technology and information technology to create a more intelligent machine and promote the end-to-end digital transformation of enterprises

core technology of industrial IOT

the architecture of industrial IOT can be divided into four layers, and the entity layer includes various intelligent products, embedded software and chips; The sensing layer is the skin and facial features of IOT, which are used to identify objects and collect information, including barcode, QR code label and card reader, RFID label and reader, camera, GPS, etc; The network layer is the nerve center and brain of IOT, which is used for information transmission and processing, including the fusion network of communication and interconnection, network management center and information processing center; The application layer is the social division of labor of IOT, that is, to achieve in-depth integration with industry expertise and needs, and finally to achieve industry intelligence. Among the IOT layers, information is not transmitted in one direction, but also through interaction and control. The information transmitted is diverse. The key is the information of the item, including the identification code that can uniquely identify the item within the scope of a specific application system and the static and dynamic information of the item

the key technologies of industrial IOT include:

sensor technology: the ubiquity of information puts forward higher requirements for industrial sensors and sensing devices

miniaturization: miniaturization of components to save resources and energy

intellectualization: artificial intelligence technologies such as self calibration, self diagnosis, self-learning, self decision-making, self adaptation and self-organization

low power consumption and energy acquisition technology: battery powered, using sunlight, wind, temperature and vibration

communication technology: specifically includes: modulation and coding technology, adaptive frequency hopping technology, channel scheduling technology, diversity of communication protocols, multi standard wired and wireless technology

network technology:

group technology: network routing technology, interconnection technology, coexistence technology, cross layer design and optimization technology

network management and basic service technology: low overhead and high-precision time synchronization technology, fast node positioning technology, real-time network performance monitoring and early warning technology, and distributed management technology of industrial data

information processing technology:

massive information processing: industrial information has exploded, and Jinan test efficiency fusion, feature extraction and content understanding, which integrates massive perceptual information, acquisition and the preferred manufacturer of high buy testing machines, are built

real time information processing: industrial process monitoring and control requirements

new manufacturing mode: Multi-source Heterogeneous perceptual information fusion

ubiquitous information processing service and collaboration platform: the comprehensive perceptual ability of behavior perception, environment perception and state perception between people, people and machines and between machines in the process of design, manufacturing and management

security technology: specifically including industrial equipment control, network security and data security, preventing the identification, tracking and access of unauthorized entities, decentralized authentication and trust model, energy-efficient encryption and data protection, and privacy protection technology between heterogeneous devices

application of industrial IOT in manufacturing industry

in recent years, IOT technology has been applied to the production process of various industries and the industrial structure adjustment of manufacturing industry, promoting the improvement of various industrial enterprises in energy conservation and emission reduction, improving production efficiency and improving production efficiency. In application, analyzing the data collected by IOT can help enterprises analyze the status of various equipment or products, and realize early warning or alarm for abnormal status, so as to achieve predictive maintenance and avoid unplanned downtime; It also helps enterprises to improve product performance, reduce energy consumption and ensure safety. For example, in Harley Davidson's new manufacturing plant, each machine is an interconnected device, and each variable is continuously measured and analyzed. In this way, before the machine fails, the equipment can provide relevant performance data to help enterprises achieve predictive maintenance, so as to minimize workflow interruption. At the same time, the manufacturing system will send an alarm to the workshop manager when a component has a problem. Harley Davidson can even measure the temperature in the building, which can be directly used to print the industrial temperature, humidity and the speed per minute (PRM) of ventilation equipment. They will continuously analyze all these data to find factors that help improve efficiency and output. Caesar air compressor, one of the world's largest suppliers of air compression system, monitors various parameters in the customer's compressed air station in real time through the application of IOT, such as power consumption, operational availability and safety, and compressed air quality, and compares them with the minimum allowable value and the maximum allowable value. The service engineer does not need to visit the customer's location. He can analyze the above real-time data through the portal and further develop targeted maintenance strategies, so as to ensure the continuous and efficient operation of the compressor, reduce operational risks and ensure the reliable and efficient operation of the customer. The company has also realized the transformation from production-oriented manufacturing to service-oriented manufacturing

in addition, the industrial IOT can also be applied to optimize logistics. Through data collection of transport vehicles, it can master the location of vehicles and the status of goods transported, realize the information interaction between manufacturers, third-party logistics and cargo owners, and realize the full application of transport resources. It can also be used for monitoring pollutants, unattended equipment, remote monitoring and fault diagnosis of oil pipelines, etc. In the consumer goods industry, there are also many smart applications based on IOT, such as smart home. By monitoring the status of various equipment, equipment leasing and service e-commerce can also be realized

manufacturing enterprises should pay attention to the following points when applying industrial IOT:

industrial IOT is widely used. The rapid development of the market has also prompted more manufacturers to compete in this emerging market. Various IOT platforms are in succession, but there are more than 100000 people waiting to be resettled in the future. The competition is extremely fierce. Therefore, before applying the industrial IOT, enterprises must first have a clear understanding and make an in-depth comparison of the openness, integration ability, data analysis and industry application functions of various IOT platforms

what valuable data are collected, and how are they collected, transmitted, stored and analyzed? The foundation of IOT application comes from various intelligent terminals, sensors and intelligent instruments, plus GPS positioning and network transmission function modules (WiFi, 4G or ZigBee, etc.). Low power nb-iot technology has brought great value to the popularization and application of IOT. In order to realize industrial interconnection applications, enterprises need to clarify what valuable data to collect? How high is the acquisition frequency? How do I deploy sensors? Do you want to transfer all status data, or only data that exceeds the threshold? How to store massive data? Is it based on private cloud or public cloud? What is the data analysis algorithm and mathematical model of IOT data? How to analyze and present data? How to alert and handle abnormal data? How to integrate IOT data with enterprise business processes

there are significant differences in IOT application between small and medium-sized enterprises and large enterprises. Small and medium-sized manufacturing enterprises can directly choose the IOT platform based on the public cloud for IOT applications, which is relatively easy. For large manufacturing enterprises, they need to be more careful in formulating the application strategy of industrial IOT, and consider whether they need to develop and operate their own IOT platform. If you choose to develop or operate independently, you need to consider cooperation with telecom operators and cloud platforms

independently develop IOT applications or use IOT development platform to develop IOT applications. Enterprises can choose the cloud services of IOT, use the IOT development platform to build IOT applications, or directly develop IOT applications from the bottom. Relatively speaking, applying IOT development platform to develop IOT applications is a cost-effective way for most enterprises

differentiation and selection of IOT platform functions and deployment modes. In terms of deployment methods, some IOT platforms are delivered through public cloud services, and some IOT platforms can be deployed within the enterprise or through private cloud. This is also an issue that enterprises must consider when selecting IOT platforms

innovative sapleonardo IOT solution

as the world's largest enterprise software manufacturer, SAP software has been used by many enterprises to support core business operations. Under the tide of new technologies, SAP strongly launched sapleonardo, a new brand of digital innovation system. Sapleonardo is an innovation platform integrating major cutting-edge technologies (such as IOT, machine learning, blockchain, big data, etc.); It can help enterprises change their business model, integrate all technologies and realize digital operation; It can support the rapid innovation of manufacturing industry in various business aspects (such as logistics, assets, services, spare parts) and expand the scale of innovation, so as to redefine the business model and meet the requirements of digital transformation

IOT is the most important technical cornerstone of this innovation system. In terms of platform, SAP provides big data and cloud platform as the basic support of IOT. At the same time, it solves the problem of uploading IOT massive data to the cloud by providing edge computing, so as to achieve comprehensive insight. Based on this platform, SAP can provide users with six aspects of IOT insight applications

for manufacturing enterprises

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