Sou Hu Cai Jing·2025-06-06 01:25Industry Overview and Transformation Needs - The petrochemical industry is a pillar of the national economy, characterized by a long industrial chain, complex processes, and high safety and environmental requirements. The industry faces challenges such as increasing resource and environmental constraints, high safety production pressure, and low efficiency of traditional production models. Digital transformation is key to improving total factor productivity. As of the end of 2023, the application rate of industrial cloud platforms in the petrochemical industry reached 56.5%, and the CNC rate of key processes was 80.6%, but issues like data silos and insufficient system collaboration remain. The industrial internet can optimize production processes, enhance safety control, and promote green and low-carbon initiatives, becoming the core driving force for industry transformation [1][2][3]. Integration Application Overall Architecture - The integration of the industrial internet and petrochemical industry is centered around "data + platform + model," forming a three-tier architecture: 1. Edge Layer: Collects data from production equipment and process parameters through sensors and smart instruments, achieving real-time connection between physical assets and virtual systems [2]. 2. Platform Layer: Builds an industrial internet platform that integrates data resources and develops industrial models for process optimization and predictive maintenance, forming general PaaS capabilities [3]. 3. Application Layer: Focuses on production, safety, and management scenarios, developing intelligent applications such as smart scheduling, supply chain collaboration, and environmental monitoring to achieve business loop optimization [4]. Core Application Scenarios - The guide proposes an "8+2" application model covering the entire design, production, and management chain: - Intelligent Production: Optimizes process parameters using advanced process control (APC) and digital twin technologies, enhancing production stability and efficiency [5]. - Safety Production: Establishes an "industrial internet + safety production" system, utilizing IoT and AI visual technologies to monitor hazards and manage emergency responses, reducing safety accident risks [5]. - Green and Low-Carbon: Uses energy management systems (EMS) and carbon emission monitoring to optimize energy allocation and promote applications like waste heat recovery and circular economy in chemical parks, supporting carbon neutrality goals [5]. - Supply Chain Collaboration: Integrates production, logistics, and sales data to achieve demand forecasting, inventory optimization, and cross-enterprise collaboration [5]. Implementation Path and Key Capability Building - Infrastructure Upgrade: - Promotes the deployment of 5G and industrial PON networks to achieve coordination between internal and external networks, addressing traditional network wiring complexity and high latency [6][7]. - Establishes an identification and resolution system to provide unique identification for equipment and products throughout their lifecycle, supporting data interoperability and supply chain traceability [7]. - Data System Construction: - Builds an industrial data lake to integrate multi-source heterogeneous data, enhancing data quality through governance to support data-driven decision-making in process optimization and energy consumption analysis [8]. - Security Assurance: - Constructs a security protection system covering equipment, networks, and data, strengthening industrial control security monitoring, data encryption, and access control to prevent cyberattacks and data breaches [9]. Typical Cases and Achievements - The guide includes several practical cases demonstrating the effectiveness of integration applications: - CNOOC's identification resolution secondary node: Achieved supply chain collaboration and product traceability, connecting 64 enterprises with over 370 million identification registrations, enhancing fertilizer anti-counterfeiting traceability efficiency, resulting in an annual economic benefit exceeding 4.7 million yuan [10]. - PetroChina's Longqing ethane-to-ethylene intelligent factory: Achieved a 100% stability rate in equipment operation and a 20% increase in labor productivity, saving 12,500 tons of standard coal annually [10]. - Maonan Petrochemical Industrial Park's safety risk prevention platform: Integrated environmental and safety data for real-time monitoring of pollutant emissions and emergency response, achieving a 97.34% hazard rectification rate, enhancing the park's inherent safety level [10]. Summary - The integration of the industrial internet and the petrochemical industry represents a resonance of technological innovation and industrial transformation. The industry is transitioning from "experience-driven" to "data-driven" through data-driven, intelligent decision-making, and ecological collaboration. Future efforts should focus on strengthening standard systems, cultivating cross-disciplinary talent, and empowering small and medium-sized enterprises to promote the scaling and intelligent evolution of integration applications, building a safe, efficient, and green modern petrochemical industry system [11].