Smart terminal
This system is specifically tailored for the operation and maintenance of electrical equipment in the petrochemical industry. It targets technical bottlenecks such as fragmented workflows, delayed risk management, and data silos found in traditional maintenance. Through comprehensive intelligent upgrades across the entire workflow, it supports the establishment of a fully digitalized management system for all operational scenarios. Leveraging a cloud computing distributed architecture, real-time big data analytics engines, IoT edge computing terminals, and AI machine learning models, the system achieves digitally restructured workflows, precise perception of equipment status, predictive analysis of potential hazards, and intelligent decision support. This significantly improves maintenance efficiency and enhances intrinsic safety levels.
Panoramic Equipment Monitoring
By integrating multi-source data, the system constructs comprehensive digital monitoring of plant equipment. A visual interface enables real-time monitoring of operational status and environmental parameters, while intelligent alarm mechanisms automatically identify electrical parameter abnormalities and trigger warnings. This transforms response from passive to proactive, establishing a round-the-clock equipment safety protection network.
Predictive Condition-Based Maintenance
By analyzing the entire lifecycle data of equipment in conjunction with AI models to interpret operational trends, the system is able to detect abnormal signals in advance, anticipate potential faults, and generate maintenance recommendations. This facilitates a transition from reactive “post-failure repairs” to proactive “preemptive maintenance,” thereby reducing unplanned outages and maintenance costs while improving equipment reliability and economic performance.
Closed-Loop Operation Management and Control
By integrating work permits, operation tickets, and intelligent locking systems, the platform builds a fully digitalized closed-loop workflow for operations. It records node data in real time and verifies compliance, while intelligent lock linkage manages operational permissions and highlights risk points. Full-process traceability eliminates human loopholes and strictly controls operational safety risks
Intelligent Decision Support
Leveraging big data, the system constructs intelligent decision-making models to extract value from historical and real-time data. According to specific scenarios, it automatically matches and recommends precise emergency response plans, providing comprehensive guidance from risk assessment to resolution. This enhances emergency response mechanisms, improves decision-making and collaborative response efficiency, and empowers safety management.
Substation operations safety management and control system
Two digital tickets Centralized control anti-misoperation Comprehensive intelligent anti-misoperation
Power generation operation safety management and control system
Integrated Intelligent Error Prevention System Intelligent Equipment Inspection
Distribution Network Operation Safety Management and Control System
Unified data model maintenance Intelligent topology for online anti-misoperation
Railway Power Supply Safety Management and Control System
Comprehensive Line Power Supply Safety Assurance Automatic Catenary Grounding Operation
Coal Mine Power Supply Safety Management and Control System
Comprehensive, autonomous and controllable Global Collaborative Optimization Comprehensive Multi-Dimensional Monitorin
Dispatching Integrated Control Automation System
Intelligent monitoring Intelligent operation Intelligent anti-misoperation
Substation Monitoring System
Autonomous and controllable Multi-dimensional Collaboration Panoramic Perception
Power Grid Lock Control System
Universal key Precise control of permissions Remote control of permission
IoT Lock Control System
Multi-service integration Intelligent Permission Management and Control Real-Time Monitoring and Intelligent Alerts
New Distribution Network Automation System
Comprehensive Sensing Cloud edge collaboration Rapid Fault Location
Intelligent patrol system
Coordinated Multi-source Data Acquisition for Inspection Intelligent Status Analysis and Defect Diagnosis
Auxiliary monitoring system
Panoramic IoT Integration Monitoring Edge Intelligence Closed-Loop Joint Control
Smart Campus System
Three-Dimensional Digital Twin Panoramic Interaction Business collaboration and information integration Unified Management and Operations Enhancement