2025 Smart Factory Gradient Cultivation Launched! How Can Industrial Equipment Maintenance Be "Empowered in Stages"?

Recently, six ministries and commissions including the Ministry of Industry and Information Technology launched the 2025 Smart Factory Graded Cultivation Action (basic level, advanced level, excellent level, leading level), clarifying the promotion of intelligent upgrading of manufacturing through scenarios such as "interconnection of production equipment", "equipment operation monitoring", and "intelligent operation and maintenance". As a practitioner of industrial equipment operation and maintenance technology, we are concerned about: What kind of equipment operation and maintenance capabilities are needed to support smart factories of different levels? How can businesses empower them in stages?

Four-level gradient: Ability advancement from "usable" to "leading"

Basic level: Solving "whether it exists"—Promoting the digital transformation of equipment, realizing data collection and connection;

Advanced level: Solving "whether it can be used"—Using data to drive operation and maintenance from experience to decision-making;

Excellent level: Solving "whether it is easy to use"—Adding AI technology to achieve intelligent management of the entire life cycle of equipment;

Leading level: Solving "whether it can lead"—Exploring future models and promoting intelligent transformation of all links.

One of the key main lines running through the four levels is "intelligent equipment operation and maintenance"—from basic data collection to high-level predictive decision-making, every step requires technical support.

Four-level gradient adaptation capability of equipment operation and maintenance technology

Combined with the core scenarios such as "equipment operation monitoring", "fault diagnosis and prediction", and "remote operation and maintenance services" in the "Intelligent Manufacturing Typical Scenario Reference Guide (2025 Edition)", our technical capabilities can accurately adapt to the needs of enterprises at different levels:

Basic level: Let the equipment "speak"

Many enterprises face the pain point of "equipment is running, status depends on experience" due to incompatibility of old equipment protocols and data islands.

Intelligent sensing (vibration, temperature sensors) and industrial protocol conversion technology (compatible with 30+ protocols) have become key—data from equipment can be accessed within 1 week, real-time collection of operating parameters (speed, energy consumption, etc.), presentation of equipment "health portrait" through a visualization platform, second-level abnormal alarm, and rapid completion of basic "digital popularization".

Advanced level: Let data "drive decision-making"

Enterprises need to shift from "data collection" to "data-driven", solving the problem of "many unplanned shutdowns and high operation and maintenance costs".

The combination of mechanism models (analysis of equipment physical characteristics) and AI algorithms (transfer learning, pattern recognition) has become the core—it can pre-warn of potential problems such as bearing wear and motor aging, generate "predictive maintenance work orders", reduce unplanned downtime, and support the construction of advanced "networked collaboration" benchmarks.

Excellent level & Leading level: Let technology "intelligently change the future"

The excellent level and leading level need to explore "intelligent upgrading" and "future models", and equipment operation and maintenance technology needs to be deeply integrated with AI large models and digital twins: analyzing fault descriptions through large models (response within 5 minutes), AR remote guidance (reducing on-site business trips), and simulating maintenance effects through digital twins (verifying the feasibility of "unmanned operation and maintenance"), promoting enterprises to transition from "local intelligence" to "global intelligent transformation".