Where is the integration and innovation of the industrial Internet in the petrochemical industry aimed at?

On December 6th, the first batch of industrial Internet integration innovation application cases for key industries and the "Industrial Internet Integration Innovation Application White Paper" were released at the "2021 (3rd) Global Industrial Internet Conference", organized by the China Federation of Industrial Economics.
The "Industrial Internet Integration Innovation Application Industry Promotion Action" jointly launched by ten national industry federations (associations) including China Petroleum and Chemical Industry Federation officially set off in Wuzhen
.

An industry action that fully explores, organizes, and studies the application scenarios of the industrial Internet, uses applications to drive key technological breakthroughs, uses applications to promote relevant talent training, and uses applications to drive and promote precise industrial policy implementation, thus kicked off the curtain
.

Typical application scenarios drive open innovation practices

Xiong Meng, Secretary of the Party Committee, Executive Vice President and Secretary-General of China Federation of Industrial Economics, and member of the National Manufacturing Power Construction Strategy Advisory Committee, said at the launching ceremony of the promotion action that the added value of the industrial Internet industry is expected to reach 4.
13 trillion yuan in 2021.
The Industrial Internet has gradually become an important support for the growth of the national economy, but promoting the integration and innovation of the Industrial Internet is a long-term and systematic work that requires the extensive participation of all parties in the society
.

In order to implement the relevant decision-making and deployment of the Party Central Committee and the State Council on the Industrial Internet, and to implement the State Council's guiding opinions on deepening the "Internet + advanced manufacturing industry" to develop the Industrial Internet, the China Federation of Industrial Economics has joined forces with the China Coal Industry Association, China Machinery Industry Federation, and China Iron & Steel.
Industry Association, China Petroleum and Chemical Industry Federation, China National Light Industry Federation, China Textile Industry Federation, China Nonferrous Metals Industry Association, China Electric Power Enterprise Federation, China Building Materials Federation, China Federation of Logistics and Purchasing, etc.
Sex industry organization, launched the first "Industrial Internet Integration Innovation Application Industry Promotion Activity"
.
According to the situation of key industries, the event collected nearly 200 practical application cases of industrial Internet integration innovation from enterprises
.

From the collection to the case analysis, the current industrial Internet is showing the following characteristics:

From the perspective of technological innovation, the integration of modern information technology and industrial Internet platform technology is accelerating, and new-generation information technologies such as big data, artificial intelligence, 5G, and blockchain are becoming more and more mature, continuing to expand new opportunities for the development of leading manufacturing enterprises and information technology enterprises space
.

From the perspective of platform application, the number of system solutions for specific scenarios has increased, the industrial Internet platform industry chain services have become more complete, platform industry innovation has continued to be active, and the depth and breadth of applications in key industries of the national economy such as steel, petrochemical, and coal have been continuously improved.

.

From the perspective of industrial services, the platform-based new models and formats of traditional industries continue to grow, and the platform level has been significantly improved, which has become the entry point for enterprises to promote digital transformation.
A batch of new models and new formats, such as automated manufacturing, networked collaboration, personalized customization, service extension, and digital management, have been developed
.

From the perspective of regional synergy, platform + park is becoming an important carrier of industrial layout
.
The application scenarios of the Industrial Internet of Things have accelerated to expand to industrial clusters, and a number of solutions have emerged for scenarios such as government supervision, precise governance, public services, and professional services
.

The petrochemical industry accelerates its transformation to full-process intelligence

Judging from the nearly 30 petrochemical industry cases collected, the petrochemical industry is facing pain points such as opaque equipment management, difficult process knowledge inheritance, low level of upstream and downstream coordination in the industrial chain, and high pressure on safe production.
The pace of digital transformation is to comprehensively improve the digital level of equipment management, production management, supply chain management, safety management, energy saving and consumption reduction
.
A number of enterprises, such as Shenghong Petrochemical, Petrochemical Yingke, and PetroChina Ruifei, are accelerating the transformation of the petrochemical industry to the direction of full-process intelligence
.

For example, equipment management is changing from black-box management to health management.
Based on data collection technologies such as sensors, adaptive perception, precise control and execution, real-time situational awareness, remote fault diagnosis and predictive maintenance of the entire life cycle of equipment are realized
.
Knowledge management is changing from paper storage to model storage, focusing on production process optimization, quality control, energy saving and consumption reduction scenarios, and promoting process knowledge sharing, reuse, and dissemination in the form of mechanism models, business models, and algorithm models, greatly reducing knowledge.
threshold for innovation
.
Supply chain management is changing from intra-enterprise to inter-enterprise collaboration.
With the industrial Internet platform as the connection hub, it has become the general trend to realize supply chain collaboration among upstream crude oil supply companies, midstream refining and chemical production companies, and downstream product distribution companies
.
Safety management is changing from manual inspection to intelligent inspection.
The use of sensors, augmented reality glasses, drones, intelligent robots and other tools has greatly improved the real-time, accuracy, visibility and inspection efficiency of inspections
.

Condensing industry solutions from typical experience

From the collected petrochemical industry cases, in typical application scenarios, equipment management is mainly concentrated in the fields of equipment condition monitoring, remote fault diagnosis, and predictive maintenance, process optimization is mainly production optimization and quality control, and supply chain collaboration is enterprise Internal supply chain collaboration and inter-enterprise supply chain collaboration work at the same time, while safety inspections focus on production safety monitoring and pipeline intelligent inspections
.

Summarizing the landing path of these applications, the technical level is mainly to promote edge-cloud collaboration by strengthening the underlying data analysis
.
In terms of edge data collection, data collection tools such as sensors, drones, cameras, and 3D scanners are installed, and ubiquitous sensing technology is used to collect data from multi-source equipment, heterogeneous systems, operating environments, and personnel to achieve full-process operation status.
full perception
.
In terms of edge data analysis, machine learning and deep learning algorithms are deployed at key nodes, and analysis engines are integrated on edge controllers to automatically adjust and optimize devices
.
In equipment management, quality control, and intelligent inspection scenarios, it is possible to consider deploying cloud-based machine learning models and deep learning models on edge devices to achieve edge-cloud collaboration in terms of models, data, and services
.

Combining with the chemical industry is mainly to sort out process knowledge and develop industrial models
.
For equipment management, focus on the research and development of operating status monitoring models, remote fault diagnosis models and predictive maintenance models for key devices
.
For the production link, focus on the research and development of process simulation optimization model, heat exchange network optimization model, utility system optimization model, energy system optimization model, and production quality control model
.
For supply chain management, focus on research and development of raw material supply chain disturbance mitigation models, supply chain flexible operation models, supply chain balance coordination models, cost and risk balance models, planning and scheduling models,
etc.
For safety management, develop a fire and explosion accident risk early warning model, a high-risk equipment monitoring and fault early warning model, a hazard monitoring and early warning model, an emergency resource management model, and a safety emergency dispatch model based on multi-source safety data fusion
.

At present, certain conditions have been met to develop industry solutions, promote typical applications, and accelerate platform innovation
.
The white paper shows that equipment in several key industries is steadily advancing to the cloud, and the closed-loop data circulation of "state perception-real-time analysis-scientific decision-making-accurate execution" has been accelerated; Four emerging trends have emerged
.
On this basis, the white paper proposes to focus on data sharing and accelerate the collaboration of equipment business on the cloud; focus on key shortcomings and strengthen collaborative research on key technologies; focus on pain points to accelerate the pace of digital transformation and application; focus on collaborative development to promote industrial transformation and upgrading in an orderly manner ;Five suggestions for focusing on ecological construction and creating a good atmosphere for coordinated development
.