IOT News

Cooling towers are essential heat dissipation devices that cool water vapor into lower-temperature water and discharge system waste heat into the atmosphere, playing an indispensable role in industrial production.

 Large industrial cooling towers are primarily used to cool circulating water in water-cooling systems, which are widely applied in industrial equipment such as power plants, refineries, petrochemical plants, natural gas manufacturing plants, food processing plants, and semiconductor factories.

Traditional cooling tower management models often rely on manual inspections and experience-based judgments, which come with numerous drawbacks.

 Firstly, manual inspections are inefficient and struggle to promptly detect equipment failures and abnormalities. Secondly, relying on experience and subjective judgments can easily lead to misjudgments, affecting production safety and operational efficiency. Lastly, the lack of data analysis tools prevents the effective utilization of historical data, missing out on opportunities for operational optimization.

In response, WideIOT (formerly known as Wutongbolian) offers a PLC data acquisition-based real-time monitoring, operation, and maintenance management system solution for cooling towers.

 By connecting industrial smart gateways to PLC controllers, it collects operational status data from equipment such as fans and pumps, as well as process parameters like air volume, temperature, and flow rate. This data is then centralized for monitoring, alerting, management, control, and maintenance, effectively enhancing equipment management levels, strengthening safety precautions, and ensuring the safe and reliable operation of cooling towers.

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Implemented Functions

1. Data Upload and Transmission:
   Utilize IoT gateways to upload data collected by PLCs to cloud servers or local databases, ensuring data security and availability.

    Supports various internet connection methods, including 5G, 4G, Wi-Fi, and Ethernet.

2. Visualization and Alerting:
   Develop user-friendly interfaces to visually display monitoring indicators through charts, configurations, and other forms.

    Set threshold alerting mechanisms to notify relevant personnel immediately in case of abnormalities, supporting notification methods such as WeChat, SMS, and email.

3. Remote Control and Maintenance:
   Enable remote control of equipment, such as turning on/off fans and pumps, when necessary.

    Establish standardized maintenance mechanisms to schedule, edit, review, and summarize maintenance work orders, ensuring timely fault repairs.

4. Big Data Analysis and Application:
   Leverage cloud computing and big data technologies to comprehensively analyze accumulated historical data, uncovering potential patterns and providing scientific bases for production optimization and energy conservation.

Solution Advantages:

• Improved Work Efficiency: Achieves a transition from manual record-keeping to automation, significantly enhancing the speed and accuracy of information acquisition.
• Reduced Maintenance Costs: Proactively alerts potential issues, preventing major accidents, reducing repair expenses, and minimizing downtime.
• Optimized Energy Usage: Through in-depth analysis of energy consumption data, identifies the best paths for energy conservation and emission reduction.
• Promoted Intelligent Development: Accumulates valuable data assets for enterprises, laying the foundation for future digital transformation and upgrades.