As computing centers, university laboratories, and enterprise data rooms upgrade towards high density, high power consumption, and green low-carbon operations, liquid cooling has become a core infrastructure to ensure the stable operation of servers and computing equipment. The cooling efficiency, fluid state, and operational safety of liquid cooling systems directly determine the availability and energy consumption levels of computer rooms. However, current liquid cooling equipment commonly faces issues such as decentralized monitoring, delayed warnings, passive maintenance, and invisible energy efficiency, posing numerous challenges to operational management and equipment safety.

Key Pain Points

1. Decentralized Deployment of Equipment: Liquid cooling units, distribution units, cold plates, pipeline sensors, and other equipment are deployed in a dispersed manner. Data relies on local displays or manual inspections, lacking unified real-time collection and remote monitoring, making it difficult to detect abnormalities promptly.

2. Lack of Intelligent Warning Mechanisms for Key Parameters: Without intelligent warning mechanisms for key parameters (such as coolant temperature, flow rate, pressure, liquid level, leakage, and conductivity), equipment downtime can easily occur due to overheating, liquid leakage, or insufficient flow rate, posing high safety risks.

3. Insufficient Data Visibility for Management: Managers lack a comprehensive understanding of data related to the energy consumption, cooling efficiency, and load matching of the liquid cooling system. The absence of visual dashboards means that energy efficiency optimization and equipment maintenance rely on experience, with decision-making lacking data support.

4. Manual Workflow for Fault Reporting and Maintenance: The entire process of fault reporting, repair, and acceptance is manually handled, with scattered records and opaque processes. This results in slow maintenance responses, high costs, and difficulties in conducting fault reviews and continuous optimization.

Solution

WideIOT utilizes industrial intelligent gateways as its core component. By interfacing with the PLCs of liquid cooling units, intelligent instruments, and sensors for temperature, flow rate, pressure, liquid level, and leakage, it collects key data such as temperature, flow rate, pressure, liquid level, conductivity, energy consumption, and operational status of the liquid cooling system in real-time. This data is then uploaded to the IoT management platform for liquid cooling equipment via Ethernet, 5G/4G, or WiFi. This provides computer room operators and equipment manufacturers with capabilities such as remote monitoring, intelligent warnings, visual maintenance, full-process work orders, energy efficiency analysis, and system integration, ensuring the safe, stable, cost-effective, and intelligent operation of the liquid cooling system.

Implemented Functions

Comprehensive Real-Time Monitoring

• Unified collection of operational data from liquid cooling equipment in each cabinet and area to construct a panoramic visual dashboard of the liquid cooling system. Real-time monitoring of temperature, flow rate, pressure, liquid level, leakage, pump and valve status, and cooling power is supported, along with remote viewing and localization of abnormal nodes.

Multi-Level Intelligent Warnings

• Predefined thresholds and abnormal rules enable real-time alerts for abnormal data. Support is provided for multi-channel notifications via SMS, WeChat, and email, with automatic recording of alerts and closed-loop handling to facilitate statistical analysis of fault distribution and optimization of maintenance strategies.

Multi-Dimensional Data Dashboards

• Statistics on cooling energy consumption, equipment utilization, number of alerts, cooling efficiency, and PUE-related indicators are compiled on a daily, weekly, monthly, and annual basis. Automated report generation and trend curves provide data support for energy efficiency optimization, load scheduling, and equipment expansion.

Digitalized Maintenance Work Orders

• Full online management of work order creation, dispatch, processing, review, and acceptance is supported, with automatic recording of operation logs, processing durations, and repair contents. This enables traceable and assessable maintenance processes, improving response speed and management transparency.

Cross-Platform Collaboration and Integration

• Integration with computer room power and environment monitoring systems, data center management systems, energy management platforms, fire protection systems, and campus/enterprise maintenance platforms is possible, enabling abnormal linkage, safety collaboration, and centralized scheduling to enhance overall emergency response and management capabilities.

Remote Maintenance and Edge Computing

• Industrial intelligent gateways support edge computing, protocol parsing, remote diagnostics, and remote program upgrades, reducing the need for on-site visits, lowering maintenance costs, and ensuring the long-term stable operation of the IoT system.