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Equipment Full Lifecycle Management Platform


Zhongyun Technology's Full-Lifecycle Management Platform for Equipment leverages an innovative, integrated management approach to provide enterprises with a digital solution that covers the entire process—from "planning, procurement, installation, operation, maintenance, to decommissioning." By deeply integrating IoT sensing, big data analytics, and artificial intelligence technologies, the platform establishes a comprehensive management loop spanning from equipment asset deployment to disposal, helping companies boost equipment reliability by 40%, reduce maintenance costs by 35%, and improve Overall Equipment Effectiveness (OEE) by 25%, ultimately enabling organizations to maximize the value of their equipment assets.


Design characteristics

 

End-to-End Lifecycle Data Integration

The platform builds a unified digital twin of each piece of equipment, comprehensively recording end-to-end data—from procurement technical specifications and installation/acceptance documents to operation, maintenance records, and even decommissioning procedures. By establishing a "one-file-per-equipment-lifetime" management system, the platform seamlessly integrates static equipment archives with dynamic operational data, providing comprehensive data support for equipment health assessments, performance analysis, and decision-making optimization.

 

Smart Early Warning and Predictive Maintenance

Based on an advanced equipment health assessment model, the platform delivers early warnings and precise predictions of equipment failures. By integrating and analyzing multi-source sensor data alongside machine learning algorithms, it proactively identifies trends in equipment performance degradation, intelligently generating preventive maintenance plans that shift from reactive to proactive maintenance—significantly reducing unplanned downtime.

 

Business Process Closed-Loop Management

The platform integrates business processes across all stages of equipment management, establishing a complete closed loop—from monitoring and early warning, to work order generation, maintenance execution, and finally, performance evaluation. By standardizing workflows and enabling mobile field operations, it ensures that every maintenance activity is traceable, assessable, and continuously optimizable, ultimately achieving refined management of the equipment maintenance process.

 

Visual Monitoring Dashboard

Provides a comprehensive, visual monitoring interface for equipment, supporting layered drill-down analysis—from enterprise-level and plant-level down to the equipment level. It dynamically displays key data such as equipment operating status, health metrics, and maintenance work order execution progress, presenting a clear, graphical overview of overall equipment management to help managers quickly grasp the current operational status of their assets.

 

Configurable Alert System

Supports flexible configuration of multi-level alarm thresholds and provides intelligent alerting rules based on device type, operating conditions, and historical data. Through multi-channel alert notifications—including in-station messages, emails, SMS, and WeChat—critical information is ensured to reach the relevant stakeholders promptly and accurately, enabling tiered and categorized management of alert responses.

 

Open System Architecture

Adopting a microservices architecture design, the platform provides rich API interfaces and seamlessly integrates with systems such as ERP, MES, and EAM. It supports public cloud, private cloud, and hybrid deployment models, allowing flexible combinations of individual functional modules to meet the personalized needs of enterprises at different stages of growth and across various business scenarios.

Platform Features

 

Full Lifecycle Ledger Management

Establish "digital twin" profiles for equipment, enabling electronic management with "one device, one file":

Digital Ledger: Covers over 30 dimensions of data, including equipment codes, technical parameters, supplier information, asset status, and more.

Resume Management: Automatically records all lifecycle events—such as installation, commissioning, maintenance, and upgrades—creating a traceable electronic record book.

QR Code/RFID Tag: Equip each device with a unique electronic "ID card" to enable rapid information retrieval and precise location tracking.

 

Intelligent Inspection Management

Establish a standardized equipment inspection system to ensure that potential hazards are identified and addressed promptly.

Standardized Inspection Template: Customize inspection templates based on equipment specifications and models, supporting the configuration of multiple types of inspection items.

Intelligent Task Scheduling: Support setting inspection schedules based on two types of cycle rules—time-based or shift-based—and automatically push tasks to the responsible parties.

Mobile execution: Inspection personnel receive tasks via the app, scan codes to locate equipment, and upload inspection data and anomaly photos in real time.

 

Preventive and Predictive Maintenance

Driven by data, we are achieving a management upgrade—from reactive maintenance to proactive prevention.

Maintenance Strategy Customization: Based on the importance of the equipment and its operating conditions, establish monthly/quarterly/annual maintenance plans.

Predictive Maintenance: Integrate IoT real-time data with historical operation and maintenance data to build an equipment health assessment model, enabling early warnings of potential failures.

Ticket Automation: Maintenance tasks automatically link the spare parts list with the repair SOPs, and a single tap on the mobile device generates the requisition form.

 

Full-Process Maintenance Management

Achieve standardization, closed-loop management, and transparency in the maintenance process:

Multi-channel repair reporting: Supports multiple repair reporting methods, including PDA scan-to-report, Andon light-based call system, and automatic ticket assignment by the system.

Work Order Closed-Loop Management: Covers the entire process from dispatching work orders, accepting orders, checking in, performing repairs, to final acceptance—with real-time tracking of key milestones.

Cost Analysis: Automatically collect data on maintenance man-hours, spare parts consumption, outsourcing costs, and more, generating key performance reports such as MTTR/MTBF.

 

Intelligent Spare Parts Management

Optimize spare parts inventory to reduce capital tied up:

End-to-end process control: Supports various business scenarios such as procurement receiving, issuance for use, and dismantling/transfer to another warehouse.

Smart Inventory Strategy: Based on parameters such as safety stock and procurement lead time, replenishment recommendations are automatically generated.

Usage Traceability: Record spare parts consumption, equipment, work orders, and maintenance personnel to achieve complete traceability.

 

Real-time Status Monitoring and Early Warning

Leveraging industrial IoT technology to achieve visualized monitoring of equipment operating status:

Real-time data collection: Deploy vibration sensors, temperature sensors, and more to collect equipment operating parameters in real time.

Intelligent Early Warning Engine: Built-in rule engine and fault code library enable dynamic anomaly detection and automatic work order generation.

Remote Operations and Maintenance: Supports batch remote firmware upgrades for devices, production threshold parameter tuning, and the delivery of remote operation commands.


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