The hottest way of intelligent transformation in m

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Abstract: 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 objects in new ways, forming the connection between people and things, things and things, and realizing informatization and remote management will also infringe the physical control and intellectualization of machine parts, So as to maximize the efficiency of the machine and the throughput of the whole work

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 objects in new ways to form a network of people and things, things and things, and realize informatization, remote management, control and intelligence, so as to maximize the efficiency of machines 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 boom of industrial IOT 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 $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 all kinds of 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 bar codes, QR code tags and card readers, RFID tags and readers, cameras, 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 deep integration with industry expertise and needs, and finally achieve industry intelligence. Among the layers of IOT, information is not transmitted in one direction, but also interaction, control, etc. there are a variety of information transmitted, among which the key is the information of items, including the identification code that can uniquely identify items within the scope of a specific application system and the static and dynamic information of items

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 and parts, saving 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, 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 the construction integrates massive perceptual information, acquisition, efficient fusion, feature extraction and content understanding

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

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, improving production efficiency and other aspects. In application, by analyzing the data collected by IOT, enterprises can help analyze the status of various equipment or products, and realize early warning or alarm of abnormal status, so as to achieve predictive maintenance and avoid unplanned downtime; It also helps enterprises 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 accordance with gb6112 (5) and gb11548 (9). 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 there is a problem with a component. Harley Davidson can even measure the temperature, humidity and the speed per minute (PRM) of ventilation equipment in the building. They will continue to analyze all these data to find factors that help improve efficiency and output. Caesar air compressor company, one of the largest suppliers of air compression system in the world, 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. Service engineers do not need to visit the customer's location. They can analyze the above real-time data through the portal and further formulate targeted maintenance strategies, so as to ensure the continuous and efficient operation of the compressor, reduce operational risks, and ensure that customers can achieve reliable and efficient operation. The company has also realized the transformation from production-oriented manufacturing to service-oriented manufacturing

in addition, industrial IOT can also be applied to optimize logistics. Through the data collection of transportation vehicles, we can master the location of vehicles and the state of goods transported, realize the information interaction between manufacturers, third-party logistics and shippers, and realize the full application of transportation 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 participate in the competition in this emerging market. Various IOT platforms have emerged in succession, and the competition is extremely fierce. Therefore, before applying 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 the functional modules of GPS positioning and network transmission (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 to 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 the data? How to alert and handle abnormal data? How to integrate IOT data with enterprise business processes

there are significant differences in IOT applications 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, we need to be more careful in formulating the application strategy of industrial IOT, and consider whether we need to develop and operate the IOT platform ourselves. 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 IOT cloud services, build IOT applications with IOT development platform, or develop IOT applications directly 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 methods. From the perspective of deployment mode, some IOT platforms are delivered through public services, especially American people's cloud services. Some IOT platforms can be deployed within enterprises or through private clouds. 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 innovative platform that integrates major cutting-edge technologies (such as IOT, machine learning, blockchain, big data, etc.); It can help enterprises change their business models, 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 technological 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 massive data of IOT 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, value can be created for enterprises through sapleonardo's Internet products, Internet assets, Internet fleet and other applications:

Internet products: support enterprises to understand product centric operations end-to-end, understand compliance more comprehensively, and improve service availability

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