According to statistics, over 95% of industrial enterprises utilize air compressors, making compressed air systems one of the most widely used power sources in the industrial production process. However, most enterprises face the following issues with their compressed air systems:

According to statistics, over 95% of industrial enterprises use air compressors, making compressed air systems one of the most widely applied power sources in the industrial production process. However, most companies' compressed air systems face the following issues:

Lack of management sophistication: manual inspections, meter reading, and machine adjustments based on experience; passive fault handling; unable to ensure real-time matching of gas production and consumption needs.

Abnormal Gas Quality: Timely and fixed monitoring of gas data such as pressure, moisture content, oil content, and dust content cannot be achieved 24/7 real-time monitoring, and there is a lag in operations, which is prone to cause significant pressure fluctuations.

Energy Waste: 1. Pipeline High Pressure Waste: Unreasonable pressure settings, pressure bandwidth, high-pressure supply with low-pressure usage, leading to high-pressure waste.

② Equipment Performance Waste: Due to improper parameter adjustment, the air compressor frequently operates in loading and unloading mode, resulting in ineffective scheduling of equipment performance and waste of equipment utilization.

In industrial production processes, the energy-saving of compressed air systems offers quantifiable value. For instance, a compressed air station with a total installed capacity of 1000kW from 4 250kW units, with annual energy costs of 6 million yuan, achieves a 25% energy saving, saving 1.5 million yuan in energy expenses per year.

Under the pressure of the national dual carbon and dual control targets, enterprises are striving for a green and low-carbon development path with energy conservation and consumption reduction. The optimization of compressed air system operations and energy saving are urgently in need of comprehensive implementation.

The PanEnergi Air Compressor Edge-Cloud Collaborative Intelligent Product offers effective solutions for businesses, realizing intelligent energy-saving value.

Digitalized station house management, achieving intelligent operation

Pangneng Network's intelligent edge collaboration product for air compressor control leverages IoT technology to present operating parameters of air compressors and their auxiliary equipment through mobile apps and computers. Real-time monitoring of operational status, timely alerts for anomalies, and the ability to view, check, and remind maintenance activities of air compressors, all help managers facilitate the management of compressor stations more conveniently.

In the event of a malfunction causing the main equipment to shut down, the system can automatically switch to a standby unit to ensure the air compressor station operates safely and stably.

Yunbian Precision Intelligent Control, improving quality, stabilizing pressure, energy conservation, and carbon reduction

Traditional air compressor operation control can only be achieved by setting the upper and lower limits of single-point pressure to control the pressure range, but the essence of pressure change is the difference in supply and demand flow rates. Simply limiting pressure values cannot fundamentally solve the problem of pressure fluctuations.

Pangneng Network optimizes pressure band settings through a pressure band tuning algorithm based on varying production states and operational load characteristics. Starting from the goal of balancing start/stop and loading/unloading frequencies, it dynamically adjusts the pressure band to minimize bandwidth, addressing energy waste due to excessive pressure band width, frequent start/stop of air compressors, and loading/unloading issues. This ensures a more optimized operation of the air compressor system and guarantees safe and stable operation of the air compressors.

To meet the actual needs that the priority of air compressor operation should not be fixed but should be dynamically adjusted, an optimized operation sorting algorithm is chosen based on multiple dimensions such as operational energy consumption, time balance, fault exit, and master-slave machine switching. This provides intelligent algorithm support for energy saving and maintenance operations of the air compressor station.

Anticipated energy savings of 5%-30% and a reduction in O&M costs by more than 10%.

Equipment is easy to maintain and extends lifespan.

The platform employs a balanced operation time strategy to evenly control the start-up of air compressors, aiming to balance the running time of each compressor as much as possible. This facilitates equipment maintenance and extends the lifespan of the equipment.

Puneng Network's Compressed Air Link Cloud Edge Collaboration Intelligent Product serves as an effective tool for managing enterprise compressed air station operations. Through cloud-based big data analysis and machine learning, it continuously optimizes the compressed air unit operation control algorithms, achieving clear visibility of compressed air station assets, real-time monitoring of operational status, timely maintenance reminders, and automatic (remote) control of equipment operation, helping enterprises to achieve low-carbon and energy-saving compressed air station operations with ease and peace of mind.