solution

solution Classification

“PLC + Smart Control” Dual-Engine Driven Smart Energy Efficiency Management System Solution

Traditional operation and maintenance (O&M) face three major pain points: passive responses leading to delays, data silos causing isolated information, and inefficient energy consumption resulting in high costs. To address these challenges, the smart O&M solution offers innovative solutions:

AI Predictive Maintenance: Provides a 12-hour early warning of potential failures, avoiding delayed responses.

Cloud-Edge Collaborative Data Platform: Ensures 100% interconnectivity of devices, breaking down data silos.

Dynamic Algorithm Optimization: Helps enterprises achieve ≥20% energy savings, significantly reducing operational costs.

This approach makes your equipment management more efficient, secure, and intelligent!

Core Concept: “Automation ≠ Intelligence. Smart O&M is a paradigm revolution driven by data and model integration.”

Platform Operation

Our four-layer technology architecture provides comprehensive support for equipment management and smart operation & maintenance (O&M).

Device Layer: Real-time collection of over 20 parameters, such as temperature, pressure, and power, ensuring data accuracy and reliability.

Edge Control Layer: Sends commands through the Profinet protocol with a response time of <50ms, enabling ultra-fast responses and ensuring efficient equipment operation.

Data Middle Platform: Integrates MySQL and mechanism models as dual drivers, providing powerful data support for intelligent analysis and decision-making.

Application Layer: SCADA/HMI visualization systems combined with mobile remote control allow managers to monitor equipment status anytime and anywhere.

Additionally, the Smart Energy Efficiency Management Platform helps enterprises analyze cost per ton and evaluate team performance. The Fault Diagnosis System, based on an AI knowledge base, provides a 92% fault location accuracy, greatly enhancing O&M efficiency.

Our technology architecture is intelligent, efficient, and secure, helping you take greater strides in resource optimization and cost savings.

Intelligence-Driven

Our dual-drive model combines mechanism models and data models, providing strong support for intelligent operation and maintenance (O&M):

Mechanism Model: Based on thermodynamic laws, this model offers the advantage of low computational cost and is widely used in optimizing compressor performance, effectively improving equipment operating efficiency.

Data Model: Utilizes LSTM (Long Short-Term Memory) neural networks, characterized by high precision. It is particularly suitable for cold load time-series prediction, helping enterprises accurately forecast demand changes and optimize energy usage.

By combining these powerful models, we provide enterprises with accurate and efficient solutions, enhancing the level of intelligent equipment management and helping businesses make breakthroughs in energy saving, cost reduction, and production optimization.

Case Practices

A chemical brine system achieved significant energy savings through model integration, reducing the power consumption per ton from 24.27 kWh to 19.17 kWh, achieving an energy-saving rate of 21.01%.

System Description:Conventional 25-unit brine system with a -15℃ operating temperature.

Secondary pump circulation is used:

Internal circulation: between the chiller and the water tank.

External circulation: between the water tank and the usage side, with constant pressure water supply.

Input Parameters: Environmental temperature and humidity、Historical operating data、Production plan

Output Results: 24-hour cooling demand curve (error rate < 5%)