Intelligent Operations and Maintenance

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PHM

Based on couples of advanced Prognostics and Health Management (PHM) algorithm， this platform enables rapidly and precisely analysis of equipment status to detect equipment anomalies and assess health conditions, diagnose root causes of faults, and predict remaining service life. thereby reducing unplanned downtime and help customers to achieve safety and efficiency management.

Advance abnormalities detection

Accurate fault diagnosis

Reliability health assessment

Equipment life extension

Application scenarios:Nuclear Power丨Chemical Industry丨Urban Rail Transit丨Tobacco丨Electric Power丨Lithium Battery丨Battery Energy Storage System丨Automobiles & Components

PdM

Based on the AP-913 Equipment Reliability Process, this system integrates vibration analysis, infrared thermography, oil analysis, ultrasonic testing, and motor diagnostics to enable comprehensive intelligent assessment and diagnostics. It optimizes anomaly handling procedures to minimize redundant labor and human errors, thereby enhancing management efficiency. Additionally, it institutionalizes expert knowledge and experience to provide data-driven decision support for subsequent O&M (Operation and Maintenance) strategies.

Comprehensive information management

Optimize task management

Professional technical analysis

Convenient operation execution

Application scenarios:Nuclear Power 丨 Tobacco 丨 Urban Rail Transit 丨 Power 丨 Battery Energy Storage

EAM

Establish a multi goal-driven equipment management model to achieve granular equipment management, enabling information exchange, integrated operations, self-driven processes, dynamic management, and data-driven applications, thereby enhancing equipment management efficiency and improve customer asset management capabilities.

Digitization of equipment information

Business integration

Self-driven process

Dynamics management

Application scenarios:Automobiles & Components 丨 Tobacco 丨 Nuclear power 丨 Nuclear Industry

Smart Monitoring Platform

Multi-parameter integrated analysis of components/system operational data, continually anomaly monitoring, and enable correlation analysis with advanced alert mechanisms to empower customer in building "data-driven operations specialists" (Digital Engineers).

Digitization of equipment information

Business integration

Self-driven process

Dynamics management

Application scenarios:Electricity 丨 Nuclear power

SPV Equipment Monitoring & Diagnosis( Pumps / Fans / Generators / Transformers)

Based on integration of hardware & algorithm technology, this system focus on industrial equipment such as pumps, fans, transformers, generators)，to deliver integrated condition monitoring, fault diagnosis, and health management, enabling muti-industry users to improve reliability management capabilities.