For chemical enterprises, safety is not merely a bottom line—it is a lifeline. Under traditional models, inspections required manual rounds, data was recorded by hand, and approval processes involved physically tracking down the right people; this was not only inefficient but also prone to creating management blind spots. How can digital tools be leveraged to truly ensure that risks are "visible, manageable, and preventable"? The intelligent safety risk control platform developed by Lancuang Intelligent offers a robust solution. Today, let’s step inside the platform’s "digital brain" to see how it utilizes digital twin, AI, and big data technologies to fortify the safety production lines of chemical enterprises.

Image: Platform Homepage

 

 

 

Chemical parks feature dense piping networks and complex installations, making it difficult for traditional 2D blueprints to provide an intuitive overview of risks. By integrating GIS (Geographic Information System) and 3D oblique photography, the platform constructs a 1:1 digital twin foundation. This effectively creates an exact "twin" of the plant within the digital realm. In this 3D world, everything—from major structures like factory buildings and pipe rack layouts down to individual valves and cameras—is precisely mapped according to physical spatial coordinates.

Image: Platform Demonstration

This means managers sitting in the central control room can oversee the entire plant as if they were physically present. Safety information records are linked to spatial coordinates, and every piece of equipment possesses a traceable "digital ledger," eliminating blind spots in hazard detection.

 

 

 

 

RocketMQ (Data Courier Center): Responsible for receiving massive data streams from third-party systems, DCS control systems, sensors, and more. It is stable, reliable, and capable of handling high loads, ensuring no data is lost.

Redis (High-Speed ​​Memory): An ultra-fast in-memory database. For the rapidly fluctuating temperature and pressure data from major hazard tank farms, Redis handles instantaneous data access, ensuring zero-latency display on the dashboard.

Using a combination of MongoDB and WebSocket (real-time streaming technology), location data from personnel tracking badges is pushed to the dashboard in a "live stream" fashion. Meanwhile, MongoDB stores geofencing and historical movement data; if an employee inadvertently enters a restricted area or triggers an SOS alarm, the system instantly generates a pop-up alert, enabling proactive safety management.

Figure: Demonstration Platform

 

 

 

High-risk activities like working at heights or hot work previously relied on paper-based workflows, which were inefficient and prone to issues like proxy signing or missed signatures. The platform incorporates the Flowable workflow engine, acting as a tireless "intelligent approval robot." Standard procedures—application, safety measure verification, approval, on-site execution, and completion acceptance—are pre-defined in the system. Once an employee submits a work permit, the robot automatically routes it to the team leader, safety officer, and supervisor. The system automatically notifies the relevant personnel of their approval duties and next steps, maintaining a complete audit trail. This not only standardizes the process but also eliminates the possibility of non-compliant operations at the procedural level. Additionally, the platform integrates a FreeMarker-based "automated form-filling assistant," allowing work permit data to be converted into standard Word documents with a single click, doing away with tedious manual paperwork.

 

 

 

 

▶ Earlier Risk Identification: The system dynamically assesses risk levels and issues alerts within seconds when thresholds are exceeded—far faster than traditional manual detection. ▶ More Efficient Hazard Remediation: When inspections uncover issues, the system automatically generates work orders and manages the entire lifecycle—dispatch, rectification, and acceptance—online. ▶ Optimized Management Costs: Digital tools clarify the chain of responsibility and reduce redundant communication, transforming safety management data into a valuable asset for corporate decision-making. "Digital twins serve as the foundation, the Internet of Things (IoT) acts as the sensory system, and big data functions as the brain." Leveraging a proprietary platform architecture, Lanchuang Intelligent deeply integrates 3D GIS mapping, real-time databases, and intelligent approval engines. This enables chemical enterprises to make a remarkable shift from "reactive response" to "proactive prevention and control," effectively fortifying their digital defenses for workplace safety.