Boiler unit control system

The conventional group control system can only become an extension of the operator's hands, helping the operator to switch equipment remotely, and cannot fully explore the benefits of the large number of sensors, actuators and controllers invested by the user for this purpose, nor can it automatically take remedies in the event of abnormal failures. Measures. Through our advanced artificial intelligence algorithm, you can quickly deploy and build an energy-saving platform to quickly display the energy consumption of the on-site air-conditioning system. In addition, including powerful graphics processing functions and library scalability, you can cope with almost all types of construction needs.

Moran has been researching computer room control since 2010, and has developed a complete set of artificial intelligence algorithm systems especially for the automatic control of boiler systems. Realize the centralized control of the unit, automatically adjust the operating number of chillers according to the system load, coordinate the operation of the cooling tower and the refrigeration unit, realize system optimization, and achieve the best system operation.

System advantages:

1. The control system can dynamically generate control instructions based on the current state and predictions for the future, and predict energy consumption to automatically generate control instructions.

2. Directly use the indoor temperature and humidity as the reference point of control, compare corresponding targets, and reduce control redundancy.

3. Avoid duplication of investment, reduce project investment, shorten the commissioning cycle, and reduce project risks

4. The integration of automatic control and energy saving shortens the adjustment performance, and the tracking system provides decision support.

5. Comes with a complete energy efficiency measurement system.

Air compressor control

The compressed air supply system includes main components such as air compressors, drying equipment, filtering equipment, and conveying pipelines. Among them, the air compressor is the largest energy consumer, so in terms of energy saving, it is necessary to improve the high efficiency operation of the air compressor. A centralized energy monitoring system is required, and the load of the air compressor is reduced through software calculation and on-site instrument installation and deployment, the operating pressure of the system is reduced, and the amount of compressed air leakage improves the efficiency of the air compressor.

Artificial intelligence model algorithm control to ensure return on investment

1. The management system can dynamically generate control instructions based on the current state and predictions for the future, and predict energy consumption to automatically generate control instructions;

2.Real-time display of asset status, which greatly improves flexibility and fault tolerance;

3.In actual operation, it can cope with a large area of ​​equipment failures and respond flexibly to emergencies.

4.Directly use the indoor temperature and humidity as the reference point for control, compare the corresponding targets, and reduce control redundancy.