Adaptive learning intelligent double-tower dryer for railway

Abstract

The application discloses a self-adaptive learning intelligent double-tower dryer for railway. The self-adaptive learning intelligent double-tower dryer comprises a humidity sensor, a pressure sensor, a regeneration gas discharge control electromagnetic valve, a manually adjustable regeneration flow control valve, a regeneration flow control electromagnetic valve, a double-tower switching control electromagnetic valve and a control module. Through sensor monitoring and self-learning control algorithm calculation, the self-adaptive learning intelligent double-tower dryer can realize flexible control of switching time, regeneration gas discharge time and regeneration flow according to actual application environment and air compressor working modes, fully exert the drying performance of the drying agent, reduce the switching frequency, avoid air flow impact and reduce regeneration gas consumption loss, and has the characteristics of self-adaptive learning, convenient application, intelligence and energy saving.

Description

Technical Field

[0001] This invention relates to a twin-tower dryer for railway use, and more particularly to an adaptive learning intelligent twin-tower dryer for railway use. Background Technology

[0002] Currently, most railway double-tower dryers have fixed air handling capacity, fixed drying / regeneration time, timing, and fixed regeneration gas volume. They cannot adapt to changing operating environments and variable frequency air compressors in real time. Moreover, the products are designed based on extreme high temperature and humidity conditions, maximum air handling capacity, and maximum regeneration gas volume as input conditions. Therefore, in actual use, the desiccant still has sufficient adsorption capacity when the drying tower is working to the switching time, resulting in many switching times, airflow impact times, and excessive air consumption, leading to a huge waste of energy.

[0003] When air supply products are used on certain subway lines, especially newly opened lines, the overall air consumption of the train is low due to factors such as low passenger flow, resulting in low compressor operating rates and a high risk of batch failures due to lubricating oil emulsification. The current common practice is to adjust the regeneration throttling orifice of the dryer to increase regeneration air consumption and extend compressor operating time, based on the actual air consumption of the line's air compressors. This method requires modification of the existing train's throttling valves and reduces the actual air supply capacity of the air source. Repeated modifications may be necessary as the subway network expands and passenger flow increases. Furthermore, the increased air consumption also results in significant energy waste.

[0004] With the technological development of the railway industry, intelligent equipment has gradually become the future development direction. Intelligent variable frequency air compressors, due to their ability to adaptively and intelligently adjust different working modes according to the total air pressure, will become the next generation of products. Traditional dual-tower dryers, due to their fixed working state, cannot effectively adapt to the challenges brought about by the changes in the exhaust volume of variable frequency air compressors. Summary of the Invention

[0005] To address the problems existing in the prior art, this invention provides an adaptive learning intelligent dryer for railways, which intelligently matches the changing operating environment and conditions through intelligent monitoring and control.

[0006] The objective of this invention is achieved through the following technical solutions.

[0007] An adaptive learning intelligent dual-tower dryer for railway use includes a humidity sensor, a pressure sensor, a regeneration gas emission control solenoid valve, a manually adjustable regeneration flow control valve, a regeneration flow control solenoid valve, a dual-tower switching control solenoid valve, and a control module.

[0008] The humidity sensor is used to monitor the humidity of the air at the dryer outlet, feeds the data back to the control module, calculates and corrects the switching time between the two towers, and outputs a switching control signal.

[0009] The pressure sensor is used to monitor the dryer pressure and feed the data back to the control module. The control module then analyzes the air compressor's operating status signal to determine if there is a dryer malfunction.

[0010] The regeneration flow control solenoid valve is used in the variable frequency high-speed working mode of the air compressor. The control module controls the energizing time and sequence of the regeneration flow control solenoid valve to improve the desiccant regeneration and desorption capacity and ensure the desiccant life without affecting the air supply capacity.

[0011] The manually adjustable regeneration flow control valve is used in fixed-frequency mode air compressors, making it easier to adjust the regeneration gas volume of the dryer when operating in low-operation-rate circuits, reducing the risk of lubricating oil emulsification and reducing the owner's operating time.

[0012] The dual-tower switching control solenoid valve is used to receive power control commands from the control module and control the dual towers to cycle through drying and regeneration operations.

[0013] The regenerated gas emission control solenoid valve is used to receive the power control command from the control module to realize the opening and closing of the regenerated exhaust circuit;

[0014] The control module is used to analyze the working status of the dryer, the operating environment, and the working mode of the air compressor, and to control the operation of the dual-tower switching control solenoid valve and the regeneration gas emission control solenoid valve, thereby realizing dryer control, fault monitoring, and data analysis.

[0015] The control module receives actual environmental data, air compressor start signals and operating modes, and combines the feedback data from the outlet humidity sensor. Through an embedded self-learning algorithm, it continuously trains and corrects the gain and loss duration and timing of the switching control solenoid valve and the regeneration gas emission control solenoid valve.

[0016] The implementation steps include:

[0017] Step 1: In the initial factory state, the manual regeneration flow control valve is set based on the regeneration gas volume required for normal operation;

[0018] Step 2: The moisture content of the dryer inlet air is calculated based on the ambient temperature and humidity, the cooler outlet control design temperature, and the air compressor working pressure.

[0019] Step 3: When the dryer is working for the first time, the control module calculates the theoretical switching time and regeneration exhaust time required for the operating environment and air compressor mode based on the input ambient temperature and humidity, air compressor working mode and embedded self-learning algorithm.

[0020] Step 4: During the operation, monitor the outlet pressure dew point T1 in real time. When switching between the two towers according to the time control in Step 3, if the outlet pressure dew point T1 - ambient temperature TO > 40℃, continue to train and correct the switching time and regeneration exhaust time of the two towers until the outlet pressure dew point T1 - ambient temperature TO = 40℃. If the outlet pressure dew point T1 - ambient temperature TO has reached 40℃ before switching, switch directly and correct the switching time and regeneration exhaust time of the two towers.

[0021] Compared to existing technologies, the advantages of this invention are as follows: This invention employs two regeneration flow control paths, namely a manually adjustable path and a solenoid valve control path, realizing a flexible control method that allows for both manual and electric adjustment of the regeneration gas volume. This invention is compatible with high-flow compressed air handling capabilities in variable frequency mode and is easy to operate, requiring no disassembly or assembly of additional components, thus facilitating the owner's work. Simultaneously, the solenoid valve adopts a two-position, normally closed type, providing a safer fault-tolerant design and eliminating the problem of excessive air consumption in the dryer and compromised air supply safety due to solenoid valve malfunction.

[0022] This invention features a humidity sensor at the outlet, an embedded self-learning algorithm in the control module, and independent switching control solenoid valves and regeneration gas exhaust control solenoid valves. It can adaptively control the switching of the dual towers and the duration of regeneration gas discharge in real time according to the operating environment and the air compressor's working mode, achieving compatibility with multiple air handling capacities and fully utilizing the drying performance of the desiccant. At the same time, it reduces regeneration gas loss, avoids airflow impact during switching, and achieves energy saving, improved air supply capacity, smaller system pressure fluctuations, and extended dryer life.

[0023] This invention features intelligent, adaptive learning capabilities and energy-saving advantages. It eliminates the need for excessively large volumes to be designed according to the maximum processing capacity, as required by traditional dryer models, and effectively solves the drawbacks of fixed-operation applications of traditional dual-tower dryers. Attached Figure Description

[0024] Figure 1 This is a block diagram of the modules of the present invention.

[0025] Figure 2 This is a flowchart of the adaptive learning intelligent process of the present invention. Detailed Implementation

[0026] The present invention will now be described in detail with reference to the accompanying drawings and specific embodiments.

[0027] like Figure 1 As shown, an adaptive learning intelligent dual-tower dryer for railway use includes a humidity sensor, a pressure sensor, a regeneration gas emission control solenoid valve, a manually adjustable regeneration flow control valve, a regeneration flow control solenoid valve, a switching control solenoid valve, and a control module.

[0028] The humidity sensor is used to monitor the humidity of the air at the dryer outlet, feeds the data back to the control module, calculates and corrects the switching time between the two towers, and outputs a switching control signal.

[0029] The pressure sensor is used to monitor the dryer pressure and feed the data back to the control module. The control module then analyzes the dryer's "excessive exhaust" fault in conjunction with the air compressor's operating status signal.

[0030] The regeneration flow control solenoid valve is used in the variable frequency high-speed working mode of the air compressor. The control module controls the energizing time and sequence of the regeneration flow control solenoid valve to improve the desiccant regeneration and desorption capacity and ensure the desiccant life without affecting the air supply capacity.

[0031] The manually adjustable regeneration flow control valve is suitable for fixed-frequency mode air compressors. It makes it easier to adjust the regeneration gas volume of the dryer when operating in low-operation-rate circuits, reducing the risk of lubricating oil emulsification and reducing the owner's working time.

[0032] The switching control solenoid valve is used to receive power control commands from the control module and control the dual towers to perform drying and regeneration operations in a cyclical manner.

[0033] The emission control solenoid valve is used to receive the power control command from the control module to realize the opening and closing of the regenerated exhaust circuit;

[0034] The control module is used to analyze the dryer's operating status, the operating environment, and the air compressor's operating mode, and adaptively control the switching solenoid valves and emission control solenoid valves to achieve dryer control, fault monitoring, and data analysis. The control module receives actual operating environment data, air compressor start-up signals, and operating modes, and combines this with feedback data from the outlet humidity sensor. Through an embedded self-learning algorithm, it continuously trains and corrects the gain / loss duration and timing of the switching solenoid valves and regeneration gas emission control solenoid valves.

[0035] By controlling the switching and regeneration exhaust time in real time and adaptively, the desiccant's adsorption and drying performance can be fully utilized, reducing the number of switching operations and flow loss, reducing regeneration gas loss, achieving energy saving, improving air supply capacity, and avoiding airflow impact and pressure fluctuations within the system.

[0036] like Figure 2 As shown, the intelligent implementation method of adaptive learning is as follows:

[0037] Step 1: In the initial factory state, the manual regeneration flow control valve is set based on the regeneration gas volume required for normal operation.

[0038] Step 2: The moisture content of the dryer inlet air is calculated based on the ambient temperature and humidity, the cooler outlet control design temperature, and the air compressor working pressure.

[0039] Step 3: When the dryer is working for the first time, the control module calculates the theoretical switching time and regeneration exhaust time required for the operating environment and air compressor mode based on the input ambient temperature and humidity, air compressor working mode and embedded self-learning algorithm.

[0040] Step 4: During the operation, monitor the outlet pressure dew point T1 in real time. When switching between the two towers according to the time control in Step 3, if the outlet pressure dew point T1 - ambient temperature TO > 40℃, continue to train and correct the switching time and regeneration exhaust time of the two towers until the outlet pressure dew point T1 - ambient temperature TO = 40℃. If the outlet pressure dew point T1 - ambient temperature TO has reached 40℃ before switching, switch directly and correct the switching time and regeneration exhaust time of the two towers.

Claims

1. A railway adaptive learning intelligent dual-tower dryer, characterized in that... Includes humidity sensor, pressure sensor, regeneration gas emission control solenoid valve, manually adjustable regeneration flow control valve, regeneration flow control solenoid valve, dual-tower switching control solenoid valve and control module. The humidity sensor is used to monitor the humidity of the air at the dryer outlet, feeds the data back to the control module, calculates and corrects the switching time between the two towers, and outputs a switching control signal. The pressure sensor is used to monitor the dryer pressure and feed the data back to the control module. The control module then analyzes the air compressor's operating status signal to determine if there is a dryer malfunction. The regeneration flow control solenoid valve is used in the variable frequency high-speed working mode of the air compressor. The control module controls the energizing time and sequence of the regeneration flow control solenoid valve to improve the desiccant regeneration and desorption capacity without affecting the air supply capacity, thus ensuring the desiccant life. The manually adjustable regeneration flow control valve is used in fixed-frequency mode air compressors, making it easier to adjust the regeneration gas volume of the dryer when operating in low-operation-rate circuits, reducing the risk of lubricating oil emulsification and reducing the owner's operating time. The dual-tower switching control solenoid valve is used to receive power control commands from the control module and control the dual towers to cycle through drying and regeneration operations. The regenerated gas emission control solenoid valve is used to receive the power control command from the control module to realize the opening and closing of the regenerated exhaust circuit; The control module is used to analyze the working status of the dryer, the operating environment and the working mode of the air compressor, control the operation of the dual-tower switching control solenoid valve and the regeneration gas emission control solenoid valve, and realize dryer control, fault monitoring and data analysis. The control module receives actual environmental data, air compressor start-up signals and operating modes, and combines this with feedback data from the outlet humidity sensor. Through an embedded self-learning algorithm, it continuously trains and corrects the gain and loss duration and timing of the dual-tower switching control solenoid valve and the regeneration gas emission control solenoid valve.

2. The adaptive learning intelligent twin-tower dryer for railway use according to claim 1, characterized in that... The implementation steps include: Step 1: In the initial factory state, the manual regeneration flow control valve is set based on the regeneration gas volume required for normal operation; Step 2: The moisture content of the dryer inlet air is calculated based on the ambient temperature and humidity, the cooler outlet control design temperature, and the air compressor working pressure. Step 3: When the dryer is working for the first time, the control module calculates the theoretical switching time and regeneration exhaust time required for the operating environment and air compressor mode based on the input ambient temperature and humidity, air compressor working mode and embedded self-learning algorithm. Step 4: During the operation, monitor the outlet pressure dew point T1 in real time. When switching between the two towers according to the time control in Step 3, if the outlet pressure dew point T1 - ambient temperature T0 > 40℃, continuously train and correct the switching time and regeneration exhaust time of the two towers until the outlet pressure dew point T1 - ambient temperature T0 = 40℃. If the outlet pressure dew point T1 - ambient temperature T0 has reached 40℃ before switching, switch directly and correct the switching time and regeneration exhaust time of the two towers.

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