IOT News

Constant‑pressure water make‑up units based on PLC control are widely used for automatic pressure stabilization and water replenishment in heating and air‑conditioning systems. Their function is to automatically shut off the make‑up pump when the air chamber pressure reaches the setpoint, and to activate replenishment when the pressure exceeds the threshold. This cycle continuously maintains proper pressure and water levels, playing a vital role in ensuring the safe and stable operation of heating, cooling, and related equipment.

To address this, WideIOT provides an IoT solution that interfaces with the controlling PLC, enabling remote real‑time monitoring of constant‑pressure water make‑up units. When abnormal data is detected, the system automatically triggers alarms, allowing timely management and control actions to prevent accidents and economic losses. With this solution, enterprises can establish an efficient and reliable operation and maintenance framework, ensuring that equipment faults are addressed promptly and that a safe and orderly production environment is maintained.

Key Functions

1. Data Acquisition: The system collects data from PLCs and sensors, and transmits it to cloud platforms or host computers via 5G/4G/Wi‑Fi/Ethernet, ensuring stable, secure, and complete data transfer.

2. Fault Alarming: With configurable alarm thresholds and notification methods, the system automatically sends alerts upon detecting abnormal data. Notifications are delivered via WeChat, SMS, email, and other channels, enabling timely management intervention.

3. Remote Control: Data is integrated into building management platforms, allowing remote start/stop control of make‑up pumps. By monitoring flow data at the outlet of each pump, the system can assess pump status, reducing the need for on‑site visits.

4. Remote Maintenance: Engineers can remotely perform programming, debugging, and program upload/download for PLCs located at remote sites, improving maintenance efficiency and reducing travel frequency.

5. Data Analytics: The system supports full lifecycle management of equipment, enabling the implementation of targeted maintenance strategies. This effectively reduces fault frequency, enhances system stability, and supports informed, data‑driven decision‑making.