Manufacturing is a symbol of the country's comprehensive strength, and it is the capital and guarantee that survives in the global competition. Germany proposes "Industry 4.0" to establish adaptability and resource efficiency by improving the computerization, digitization and intelligence of manufacturing. The smart factory, this article focuses on industrial IoT applications. For industrial IoT applications, manufacturing companies need to consider the following seven key issues. Recently, GE announced that it has reached an agreement with China Telecom to realize the implementation of Predix Industrial Internet Platform in China. In 2016, Siemens launched the Mindsphere platform; the Roots of the Roots of Sany Heavy Industry was held on February 20th at the 2017 China Industrial Internet Summit. The root cloud platform was officially released; Haier, the home appliance giant, released the COSMO PLAT industrial Internet platform; the space cloud network has received wide attention from all walks of life. At the same time, various IoT platforms are also very active, such as wit cloud and Ella network. While BAT is also expanding the IoT cloud service, China Mobile launched the open Internet of Things platform OneNET in 2014. PTC's ThingWorx has become a popular IoT application development platform in the industry. In March of this year, SAP released the Leonardo IoT Suite in China. The upsurge of China's industrial Internet can be seen from this. Predix's Digital Industrial Ecosystem Communicate with the person in charge of China's Industrial Internet Alliance. It is basically clear that China's industrial Internet concept includes industrial Internet of Things, plus Internet applications related to industrial activities. So this article is still focused on industrial IoT applications. With regard to industrial IoT applications, manufacturing companies need to consider the following seven key issues. By analyzing the data collected by the Internet of Things, you can help companies analyze the status of various types of equipment or products, and provide early warning or alarm for abnormal conditions, thus achieving predictive maintenance and avoiding unplanned downtime. It also helps companies improve their products. Performance, helping companies reduce energy consumption and ensure safety. Through the data collection of the transportation vehicle, it is possible to grasp the position of the vehicle operation and the state of the transportation goods, realize the information interaction between the manufacturer, the third party logistics and the cargo owner, and realize the full application of the transportation resources. Accenture's IoT application maturity model It can also be used for monitoring pollutants, unattended equipment, remote monitoring of oil pipelines, and fault diagnosis. In the consumer goods industry, there are also many smart applications based on the Internet of Things, such as smart homes. Equipment rental and service e-commerce can also be achieved by monitoring the status of various devices. Therefore, industrial Internet of Things is widely used. Before applying the Industrial Internet of Things, enterprises should first define their business goals and expected value in light of industry characteristics. The difficulty of different applications varies greatly, and companies need to have a clear understanding. The foundation of IoT applications stems from various intelligent terminals, sensors and smart meters, plus functional modules for GPS positioning and network transmission (WIFI, 4G or ZigBee, etc.). The low-power NB-IOT technology brings great value to the popularization of the Internet of Things. Currently, interface methods for data collection of various types of devices vary widely, and some devices require external sensors. So there are a lot of boxes on the market that can collect and transmit data. Some boxes have certain storage and data processing capabilities. Oracle IoT Cloud Service and Application Integration Therefore, to achieve industrial Internet applications, companies need to be clear: 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 a private cloud or a public cloud? What are the data analysis algorithms and mathematical models of IoT data? How is the data analyzed and presented? How to alert and dispose of data anomalies? How to integrate IoT data with enterprise business processes? Significant differences in IoT applications between SMEs and large enterprises For small and medium-sized manufacturing enterprises to implement Internet of Things applications, it is relatively easy to directly select an Internet of Things platform based on public clouds. For example, Shugen Interconnect has helped Xingbang Heavy Industry, a leading enterprise in the production of aerial work vehicles, to position the equipment and support the equipment leasing business of the enterprise. For large manufacturing companies, it is necessary to formulate the application strategy of the industrial Internet of Things more cautiously and consider whether it is necessary to develop and operate the Internet of Things platform. If you choose to develop independently or operate autonomously, you need to consider cooperation with telecom operators and cloud platforms. Just as ERP applications can choose to develop and apply commercial systems independently, the path of IoT platform construction has different options. You can choose IoT cloud services, use IoT development platforms to build IoT applications, or develop IoT applications directly from the ground up. Forrester's analysis of the Internet of Things platform Relatively speaking, the application of Internet of Things development platforms such as ThingWorx to develop IoT applications is a cost-effective way for most companies. The picture below shows the ranking of the Internet of Things software platform in the fourth quarter of 2016 published by the famous research institution Forrester. I think this is the most complicated and important issue for industrial IoT applications. For example, if CRRC Group wants to establish an IoT platform to monitor high-speed rail, motor trains and subway vehicles manufactured by its subsidiaries, and to provide early warning and predictive maintenance, it needs to share the Internet of Things with the railway company and the subway companies everywhere. Data, and each vehicle manufacturing company and component manufacturing company should share the corresponding IoT data according to the products and parts they manufacture, in order to conduct data analysis, research problems in their own products, and know what to do. Know why, improve products and manufacturing processes. If the maintenance company repairs a certain vehicle or replaces the spare parts, it also needs to leave a maintenance record on the cloud platform. If the door of a subway station fails, the information should be transmitted to the subway company, and the corresponding platform door cannot be opened. Sharing information on IoT data under the premise of ensuring information security, reasonable data access rights, and ensuring the intellectual property rights of manufacturers is the key to deepening the application of the Internet of Things and achieving practical results. By the same token, airlines and aircraft manufacturers should also share IoT data. Many IoT platforms emphasize their openness and even open source to support various types of applications. A complete IoT platform, the front end should be able to integrate various types of sensors, the back end should have massive data storage and big data analysis capabilities, to achieve integration with the application system, support a variety of industry applications. For example, GE has developed a suite of superior manufacturing based on the Predix platform, integrating application functions such as work in process management, quality management, production management, and route optimization. FGE's Excellence in Factory Suite built on Predix Therefore, enterprises should conduct an in-depth understanding of the IoT application maturity model proposed by Accenture, and make in-depth comparisons on the openness, integration capabilities, data analysis, and industry application functions of various IoT platforms. From the deployment method, some IoT platforms are delivered in the form of public cloud services, and some IoT platforms can be deployed in the enterprise or deployed in a private cloud. This is also an issue that enterprises must consider when selecting an IoT platform. SAP IoT platform positioning The tiered storage and backup of massive data generated by IoT applications, as well as data security and encryption, are an important issue for enterprises to consider for IoT applications. Users of some devices, such as military enterprises, are reluctant to obtain device status data for data security and privacy protection. A few years ago, the industrial control network of centrifuges in Iran’s nuclear facilities was eventually invaded by the invading industrial viruses; and video surveillance data was recently stolen. This shows that data security is a prerequisite for industrial IoT applications. If data security is not guaranteed, the deep application of enterprise-level Internet of Things is difficult to achieve. These seven questions have been raised, but the answer is still unclear. Therefore, manufacturing enterprises should adopt a positive and cautious attitude towards industrial IoT applications, carry out overall and systematic planning, and then gradually develop industrial-grade IoT applications.
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