Case Study | From Manual Inspections to Intelligent Monitoring: Chulian Empowers Enterprises to Fortify Industrial Safety

This case study features a leading domestic company in the nylon new materials industry, recognized globally for its prominence. In recent years, in response to national policies on digital transformation and guidelines for building intelligent safety risk management platforms for hazardous chemical enterprises, the company has actively aligned with national and group directives. It has achieved significant progress in hazardous chemical safety production control, major hazard source management, and enterprise digital modernization.

However, as the company's core high-risk area, the tank farm has long relied on traditional manual inspections, facing challenges such as low efficiency, high safety risks, and data silos. This approach fails to meet the core requirements of accurate, real-time, and frequent inspections. To advance digital transformation, the company urgently needs to leverage technology to upgrade tank farm inspections to a smart level.

Project Pain Points

As a major hazard area, the tank farm's traditional manual inspection model suffers from significant issues that severely compromise inspection quality and safety control effectiveness:

• Low inspection efficiencyRelies on manual labor, uses limited methods, involves high physical effort, and cannot achieve frequent, high-precision coverage.

• High security riskPersonnel are frequently exposed to hazardous conditions such as high temperatures, high pressure, and toxic gases, while extreme weather limits inspection operations.

• Severe data silosInspection records are scattered across paper or isolated systems, lacking unified management and real-time data sharing and analysis.

• Delayed operations responseTroubleshooting relies on manual intervention, preventing rapid identification of network and device anomalies and disrupting inspection continuity.

Solutions

Addressing the company's core pain points and upgrade needs,Chuling Shares leverages the SEN enterprise network agent, full-optical intelligent computing network, AI algorithms, digital twins, and more.Leveraging cutting-edge technology, we've built a comprehensive solution to help enterprises upgrade their inspection operations.

1. AI Computing Network Foundation: Build a high-speed, stable network and operations system

• All-optical AI Computing Network + Seamless Wi-Fi RoamingBuild a high-speed, low-latency converged network for all services to ensure efficient, low-latency communication and data exchange for robot inspections, providing a solid foundation for real-time inspection and data interaction.

• SEN Enterprise Network AgentAs a core enabler, it integrates intelligent network operations and maintenance (NOC), cybersecurity protection, network management visualization, and business quality monitoring to deliver efficient, convenient, and secure edge network and business management services—addressing low operational efficiency and high security risks in traditional networks.

• Computing-Network Integrated ApplianceThe computing-network integrated appliance (with integrated GPU/CPU compute chips) connects edge computing with end-device sensing. It delivers powerful edge computing capabilities while monitoring service quality and cybersecurity posture.

2. Data Fusion Hub: Break silos, unlock data value

• Multi-dimensional intelligent data collectionDeploy multiple inspection robots and fixed sensors to enable full-scenario data collection.

• Data Processing PlatformIntegrate multi-source data from networks, devices, production, and security to break down data silos and support AI model training and intelligent analysis.

3. Digital Twins and Intelligent Control: From "Reactive Response" to "Proactive Prevention"

• Leveraging 3D digital twin technology to display real-time equipment status, inspection routes, and alerts. Through modules for equipment monitoring visualization, security, and personnel localization, it supports condition analysis, risk warnings, and emergency response—enabling a smart management leap from reactive handling to proactive prevention.

Implementation Results

Implementing the full solution made risks across the entire production process detectable, analyzable, predictable, and controllable. It significantly improved warning and detection efficiency, enhanced production safety, and advanced the enterprise's digital intelligence capabilities.

• Enhanced Security ControlAutomate inspections for hazardous scenarios to eliminate personnel exposure risks and boost warning and detection efficiency by over 60%.

• Efficiency and Cost OptimizationReduced manual inspection frequency lowers labor costs.

• Unlock data valueCentralized management, real-time sharing, and deep analysis of inspection data support predictive equipment maintenance and significantly enhance production continuity.

This case demonstrates Chuling's technical strength and service capabilities in enterprise intelligent transformation. In the future, Chuling will continue to deepen its expertise, leveraging "Network + Data + AI" as its core to help more enterprises build secure, efficient, and intelligent digital industrial systems, accelerating their transition to a new stage of high-quality development.