In the boiler workshop of a thermal power plant, combustion efficiency and emission control are core challenges. Traditional boiler control systems often rely on fixed parameters, making it difficult to adapt to dynamic conditions such as coal quality variations and load fluctuations, resulting in low thermal efficiency and excessive pollutant emissions. The ARM-based industrial controller (e.g., BL310, equipped with the i.MX6ULL processor), combined with sensor and variable frequency control technologies, provides an efficient and environmentally friendly solution for boiler combustion systems through real-time data acquisition and intelligent algorithm optimization. This article explores the application scenarios, equipment configuration, and functional implementation of the BL310 in industrial boiler combustion optimization.
In the boiler workshop of a thermal power plant, the goal of the combustion optimization system is to enhance boiler thermal efficiency and reduce emissions of pollutants such as nitrogen oxides (NOx). The ARM industrial controller integrates sensor data and performs real-time control to adapt to complex operating conditions, ensuring stable boiler operation under varying loads while meeting stringent environmental requirements. This system is suitable for various types of boilers, including coal-fired and gas-fired boilers, particularly in scenarios requiring dynamic adjustment of fuel and air ratios.
The combustion optimization system is centered around the BL310 industrial controller, paired with the following equipment:
BL310 Industrial Controller: Equipped with the NXP i.MX6ULL processor, it offers high performance and low power consumption, supports the Modbus protocol, and is ideal for real-time control in industrial settings.
Oxygen Analyzer: Monitors oxygen content in flue gas to assess combustion completeness.
Temperature Sensors: Collect real-time furnace and flue gas temperatures to evaluate combustion status.
Coal Feeder Variable Frequency Drive (VFD): Adjusts the fuel supply rate to match combustion demands.
Induced Draft Fan Controller: Controls the fan speed to optimize air supply and maintain stable furnace negative pressure.
These devices are connected to the BL310 via AI interfaces (analog inputs), forming a closed-loop system for data acquisition and control.
The oxygen analyzer and temperature sensors transmit real-time data to the BL310 through AI interfaces. The i.MX6ULL processor processes this data at a high sampling rate, extracting key parameters (e.g., oxygen content, furnace temperature, flue gas temperature) and generating a dynamic model of the combustion state based on load requirements.
The BL310 runs optimized combustion control algorithms (e.g., PID control or machine learning-based adaptive algorithms) to analyze fuel and air ratio requirements based on real-time data. The algorithms consider the following factors:
Oxygen Content: Maintains oxygen levels within an optimal range (typically 3%-6%) to avoid heat loss from excess air or incomplete combustion due to insufficient oxygen.
Temperature Distribution: Adjusts fuel supply based on furnace temperature to prevent local overheating or low-temperature corrosion.
Load Variations: Dynamically matches coal feed and air supply to adapt to load fluctuations in the thermal power plant.
Via the Modbus protocol, the BL310 sends control commands to the coal feeder VFD and induced draft fan controller:
Coal Feeder VFD: Adjusts the operating frequency of the coal feeder based on algorithm outputs to precisely control fuel supply.
Induced Draft Fan Controller: Regulates fan speed to optimize air intake, maintaining stable furnace negative pressure and reducing unnecessary energy losses.
Through the above closed-loop control, the system achieves the following results:
Improved Thermal Efficiency: Optimized fuel and air ratios can increase boiler thermal efficiency by 3%-5%, significantly reducing fuel consumption.
Reduced Emissions: Precise control of oxygen content and combustion temperature can lower NOx emissions by 20%-30%, meeting environmental regulations.
Operational Stability: The system’s adaptive adjustments reduce manual intervention, improving boiler stability under varying conditions.
High-Performance Processor: The i.MX6ULL provides robust computing power, supporting real-time execution of complex algorithms.
Flexible Communication Protocol: The Modbus protocol offers strong compatibility, facilitating integration with existing industrial equipment.
Modular Design: The BL310 supports multiple AI interfaces, enabling easy expansion with additional sensors or actuators.
Reliability: The ARM architecture’s low power consumption and high stability make it suitable for harsh industrial environments.
The ARM-based BL310 industrial controller provides an efficient solution for boiler combustion optimization by integrating sensor data, running intelligent algorithms, and executing precise control. This system not only enhances boiler thermal efficiency but also significantly reduces NOx emissions, balancing economic benefits with environmental compliance. With the advancement of industrial IoT and AI technologies, ARM industrial controllers will play an increasingly vital role in various industrial applications, providing technical support for intelligent manufacturing and green energy.
