Inventory: Three basic elements and five characteristics of the Industrial Internet

Three basic elements of the Industrial Internet

• Smart Machines: Connecting real-world machines, devices, teams, and networks in new ways through advanced sensors, controllers, and software applications.
• Advanced Analytics: Use physics-based analytics, predictive algorithms, automation, and deep expertise in materials science, electrical engineering, and other key disciplines to understand how machines and large systems operate.
• Workers: Establish real-time connections between employees and connect people in various workplaces to support smarter design, operation, maintenance, and high-quality service and safety. The integration of these elements will provide new opportunities for enterprises and economies. For example, traditional statistical methods use historical data collection techniques, which usually separate data, analysis, and decision-making. With the decline in the cost of advanced system monitoring and information technology, work capacity has been greatly improved, the scale of real-time data processing has been greatly increased, and high-frequency real-time data provides a new perspective for system operations.

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The key driving force for the development of the Industrial Internet

We need to work tirelessly to promote technological innovation while increasing investment in the necessary sensors, test equipment and user interface systems. Investment will become a basic condition for accelerating technology transformation. The extent to which the Industrial Internet can improve efficiency and bring convenience will depend on its development pace. The cost of deploying the Industrial Internet will vary by industry and region. However, it is generally believed that the investment in this technology field will eventually have a positive return on its cost.

A strong cybersecurity system, an effective way to manage vulnerable links, and protect sensitive information and intellectual property. Establish a large talent pool, including new cross-disciplinary talents, such as the combination of mechanical and industrial engineering to form a new "digital mechanical engineer", data experts who create analytical platforms and algorithms, and software and cybersecurity experts. Training employees to master the corresponding skills will help ensure innovation, create more jobs, and promote productivity development. The Industrial Internet is a project that requires human and material resources, but it will completely change our industrial development and lifestyle, and promote the interaction and integration of the human brain and machines.

Five characteristics of the Industrial Internet

1. Characteristics of industrial data

Traditional industrial enterprise data is not only fragmented between enterprises, but also in the production, design, R&D, management, and operation of the same enterprise. The so-called Industrial Internet is based on various network interconnection technologies, connecting the entire life cycle of enterprises from creation to end, including industrial design, technology, production, management, and services. It will empower the entire industrial system to have intelligent functions of description, diagnosis, prediction, decision-making, and control.

2. Industrial analysis capabilities have changed

The traditional "end-pipe-cloud" model is difficult to cope with the growing number of industrial IoT terminals and cannot guarantee the real-time and reliability of industrial production control. The future industrial analysis capability will be "cloud computing + edge computing". Cloud computing focuses on big data analysis of non-real-time, long-cycle data to support periodic maintenance and business decision-making, while edge computing focuses on real-time, short-cycle data analysis to support real-time intelligent processing and execution of local business.

3. Changes in industrial value

Based on industrial data, the profit point of industrial equipment manufacturers will shift from "mainly focusing on product sales, repair and maintenance" to "mainly focusing on providing multi-dimensional productive services based on data."

4. Changes in Product Lifecycle Management

Based on the industrial data obtained by industrial Internet technology, digital twin technology has become a development focus. In the future, products from R&D, production to use will transform from traditional product life cycle management to digital twin application scenarios, realize the virtual world image of the product's entire life cycle, and improve the full life cycle management capabilities.

5. Changes in product supply chain

Traditional supply chain management is limited to process-related connections and lacks the overall value transfer and value-added services brought by data-driven, resulting in bottlenecks such as reduced profit margins of homogeneous enterprises, low efficiency of supply chain collaboration, core business processes being restricted by functional management, and poor information sharing. The Industrial Internet can realize the collection and management of real-time product data, achieve accurate matching between supply and demand based on real-time data, and realize effective dynamic control of the supply chain.

With the attention of the state and enterprises, in 2017, the State Council officially issued the "Guiding Opinions on Deepening the Development of Industrial Internet through "Internet + Advanced Manufacturing", proposing to enhance the supply capacity of the industrial Internet industry, continuously improve the development level of my country's industrial Internet, and further promote "Internet +", forming a good pattern of mutual promotion and synchronous improvement between the real economy and the network. In the future, my country's industrial Internet of Things process will continue to accelerate.