Header logo
Download App
English
glo:care:web:home:valuePoints.1.label
Low-Cost Application
The self-developed DHMSCare terminal ensures stable and accurate data collection while minimizing operational costs. Cloud deployment eliminates infrastructure and maintenance expenses.
glo:care:web:home:valuePoints.2.label
Convenient Deployment
DHMSCare terminals are easy to install, require no future maintenance, and feature an intuitive interface for seamless operation.
glo:care:web:home:valuePoints.3.label
24/7 Intelligent Monitoring
Provides uninterrupted, continuous monitoring 24/7; Check your equipment’s health anytime, anywhere via the mobile app
glo:care:web:home:valuePoints.4.label
High-Precision Fault Prediction
Driven by AI, the system detects subtle performance fluctuations, enabling precise fault predictions and improving operational efficiency.
glo:care:web:home:valuePoints.5.label
Reduce Unplanned Downtime
Real-time monitoring and early warnings prevent minor issues from escalating, minimizing the risk of unexpected downtime.
glo:care:web:home:valuePoints.6.label
Extend Equipment Lifespan
Accurate condition monitoring and timely maintenance recommendations support proactive maintenance strategies.
DHMSCare Core Features
Continuous and Stable Data Collection
Our self-developed intelligent terminal efficiently collects and transmits real-time monitoring data using self-developed proprietary communication protocol.
glo:care:web:home:corePoints.1.label
glo:care:web:home:corePoints.2.label
Condition Recognition
The system leverages AI and data analysis to assess equipment conditions. During initialization, it establishes a health baseline, forming the foundation for continuous monitoring and fault prediction.
Pattern Learning
Using advanced deep learning, big data, and machine learning, the system accurately identifies equipment operation patterns and dynamically adjusts model parameters based on real-time conditions.
glo:care:web:home:corePoints.3.label
glo:care:web:home:corePoints.4.label
Condition Monitoring
Smart sensors enable real-time equipment monitoring, collecting key data for immediate AI analysis, ensuring precise condition insights for users.
Anomaly Alert
Deep learning models analyze real-time data, triggering instant alerts when anomalies are detected.
glo:care:web:home:corePoints.5.label
glo:care:web:home:corePoints.6.label
Maintenance Recommendations
Combining real-time, historical, and predictive data, the system offers tailored maintenance advice, optimizing timing and necessary actions.
Fault PredictionComing Soon
By analyzing historical and real-time data, the system predicts potential faults and provides data-driven maintenance recommendations.
glo:care:web:home:corePoints.7.label
Get Trial
WeChat
Phone
返回顶部