Predictive Equipment Condition Analysis System
Leveraging high-precision current waveform analysis, AI deep learning, and edge intelligent computing, we build an end-to-end predictive system covering 'equipment performance—equipment health—product quality,' enabling equipment to 'speak,' maintenance to be 'visible,' and quality to be 'traceable.'
Intelligent Closed-Loop System Optimized for Industrial Scenarios
Industrial-Grade Protection
Hardware devices feature metal enclosures with excellent dustproof, corrosion-resistant, and electromagnetic shielding properties, along with wide temperature operating ranges.
Secure and Reliable
Analysis algorithms are deployed at the edge, allowing the system to operate independently even during network outages. In addition to monitoring production equipment, the system also performs self-monitoring.
Self-Contained System
From in-house R&D to independent deployment, self-networking, and remote access, the system requires no integration with the factory network, enabling remote operation without on-site presence.
Multi-Dimensional Evaluation
The Predictive Equipment Condition Analysis System breaks through the limitations of traditional single-point monitoring by establishing a comprehensive evaluation framework across three dimensions: performance, equipment health, and product quality. By leveraging high-precision current waveform analysis combined with AI deep learning, we enable intelligent upgrades in production management.
Equipment Health
The system deeply analyzes potential anomalies in various equipment components, enabling predictions weeks to months in advance. By aligning with customer maintenance resources, it supports precise maintenance planning, significantly reducing unplanned downtime and over-maintenance waste, thereby lowering costs and improving efficiency on the shop floor.
Performance
Through high-precision data acquisition and analysis, the system evaluates equipment performance under various operating conditions. Whether at high or low speeds, heavy or light loads, it sensitively captures subtle changes and identifies potential risks, ensuring equipment operates in a high-quality, highly controllable state.
Product Quality
Based on detailed assessment of equipment performance and condition mapping over any time period, the system traces the risk of quality defects caused by equipment fluctuations. Through optimized maintenance planning, it enables concurrent improvement in operational stability and product quality.
Edge Computing Workstation
To enable real-time acquisition and intelligent analysis of high-precision current waveform data, we have independently developed this high-performance Edge Intelligent Computing Station. It is not only a data gateway but also a frontline intelligence node, deploying AI computing power directly on the shop floor to ensure immediacy, security, and high reliability in data processing.
Non-Intrusive Current Sensor
High-frequency sampling to detect subtle changes
The sensor supports high-frequency data acquisition, capturing instantaneous current fluctuations and fine features undetectable by conventional sensors.
Non-invasive installation for safety and convenience
The non-intrusive installation method completely avoids equipment downtime or safety risks caused by wiring errors. Deployment is fast, simple, and absolutely safe.
System Application Scenarios
Our Predictive Equipment Condition Analysis System has been successfully implemented across various industrial sectors. We provide customized solutions addressing unique industry challenges, helping enterprises achieve intelligent transformation and upgrading.
Automotive Industry
Ensuring reliable operation of large-scale equipment
3C Industry
Adapting to fast-paced, rapidly evolving production cycles
Semiconductor Industry
Protecting highly precise manufacturing environments
Building Materials Industry
Operating reliably under extreme high-temperature and high-dust conditions
Frequently Asked Questions
Why is the predictive analytics system more effective than traditional inspections?
We have diverse equipment brands and mixed new/old models. Is the system compatible?
Is the deployment cycle long? Does it require long-term maintenance by specialists?
Our equipment occasionally shows transient anomalies that are hard to reproduce or confirm. How can the system help?