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Remote Diagnostic Services


The platform boasts cutting-edge algorithms and software models. Intelligent diagnostics leverage big data analytics and AI algorithms to deeply mine and rapidly process equipment data. By continuously optimizing and upgrading its algorithmic models, the system can accurately predict and diagnose equipment failures, significantly reducing the chances of missed or false alarms while enhancing the precision and reliability of diagnoses. In addition, the vibration analysts bring extensive expertise and hands-on experience, enabling them to conduct in-depth analysis and interpretation of equipment vibration data. They are equipped to deliver professional technical support and tailored solutions, collaborating closely with equipment maintenance personnel, technical experts, and other stakeholders to effectively address equipment failure issues and ensure the smooth operation of critical machinery.


Design Features

Core Services: Daily Inspection and Monitoring, Platform-Based Online Alarms, Expert Diagnostic Analysis, Mechanism- and AI-Powered Intelligent Diagnosis, Intelligent Diagnostic Reports, and Predictive Equipment Maintenance.

 

 

1. Daily Inspection and Care

The operations and maintenance engineer daily uses the O&M platform to track device monitoring point data disconnections, analyzes the root causes of failures, and promptly contacts the O&M team for resolution.

 

2. Platform Online Reporting

Equipment history alarm information, latest alarm information (fixed threshold, dynamic threshold, trends)

 

3. Expert Diagnostic Services

1 week × 7 days, real-time remote diagnostic service

24 hours a day, providing abnormal equipment diagnosis conclusions and promptly notifying the owner.

1 hour × 60 minutes, platform-intelligent alert push

Refine common failure patterns of equipment, customize a three-tier expert review system for personalized diagnostic rule libraries to ensure equipment reliability, and provide regular diagnostic reports.

 

4. Mechanism and AI-powered Intelligent Diagnosis

Equipped with machine learning-based fault diagnosis technology, this system leverages big data-driven techniques for information mining, data filtering, correlation analysis, and advanced processing—enabling the extraction of richer equipment fault insights and achieving precise fault localization.

 

5. Intelligent Diagnostic Report

Based on the platform's equipment alarm information, the platform can automatically generate an intelligent diagnostic report, which includes basic equipment information, measurement point alarm details, graph-based analysis process, diagnostic conclusions, and operation & maintenance recommendations.

 

 

6. Equipment Predictive Maintenance

Predictive maintenance is a proactive maintenance strategy that relies on real-time monitoring of equipment operating conditions and data analysis. Its core objective is to continuously collect equipment performance parameters—such as vibration, temperature, and current—and leverage machine learning or physics-based models to predict equipment degradation trends. This allows for the precise identification of potential failure points before issues arise, enabling timely intervention planning. Compared to traditional maintenance approaches, predictive maintenance marks a shift from "reactive repair" or "scheduled maintenance" to "on-demand maintenance," significantly reducing unplanned downtime, operational costs, and safety risks.

Key data information shows: equipment health score, remaining life prediction

Service Features

1. 24/7 Monitoring and Timely Response

24-hour real-time status monitoring: enables 24/7 real-time equipment monitoring, ensuring monitor equipment Status in Real Time.  Timely data collection and diagnostics: Utilizing self-developed smart sensors and edge AI terminals, it comprehensively collects various operational data from on-site equipment—and promptly processes and analyzes the data for accurate diagnostics.

 

2. Intelligent Early Warning and Precise Feedback

Intelligent Early Warning System: When device health data shows abnormalities, the remote diagnostics center promptly notifies customers via phone calls, text messages, WeChat, and official account push notifications, informing them of the faulty equipment and the underlying cause. Precise Feedback & Tracking: We provide detailed diagnostic reports and fault analyses, helping customers gain a clear understanding of their equipment’s condition, enabling quick identification and resolution of issues, and ensuring accurate monitoring of equipment health status.

 

3. Security Assurance and Convenient Operation

Data Security Assurance: Centrally organize and manage multi-source, isolated data, equipped with comprehensive data security features to ensure the company's information security. Convenient User Experience: Frontline inspection and maintenance personnel can easily access real-time equipment monitoring data and instant diagnostic results via an app or WeChat mini-program, significantly improving fault response efficiency.


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