Automatic method for dynamically adjusting compressed air

Abstract

The invention relates to an automatic method for dynamically adjusting compressed air, which belongs to the technical field of compressed air process, and comprises the following steps: S1, an automatic model acquires process consumption, output flow, equipment operation state and equipment number; s2, inputting the artificial experience of the use amount change into the automatic model; and S3, the automatic model performs automatic control on the equipment according to the equipment number sequence and the collected and input signals. According to the invention, the systematized adjustment capability of compressed air can be realized, the pressure of a pipe network and the relationship between the use amount and the generation amount of a user are dynamically balanced, and the purposes of energy conservation and consumption reduction are realized.

Description

Technical Field

[0001] This invention belongs to the field of compressed air process technology and relates to an automated method for dynamic adjustment of compressed air. Background Technology

[0002] Compressed air, as an indispensable power source in industrial production, plays a crucial role in factory production processes. It is widely used in various scenarios, including but not limited to driving pneumatic equipment, process cooling, equipment purging, instrument air supply, and system replacement. In large industrial enterprises such as steel, petrochemical, and shipbuilding, compressed air systems are typically large-scale and complex, often consisting of multiple air compressor stations and interconnected compressed air pipeline networks to meet the air demand of all areas throughout the plant.

[0003] Currently, the operation and management of compressed air systems in most industrial enterprises remain relatively rudimentary. System operation mainly relies on manual inspections, manual recording of operating data, and adjustments to the air compressor's operating status based on personal experience. Traditional air compressor station control typically employs a constant pressure control method, which involves manually setting the target pressure value for the main air supply line and calculating the upper and lower pressure limit settings by considering a certain dead zone range. The screw compressor group within the air compressor station performs loading, unloading, start-up, and shutdown control actions based on the comparison between the actual main line pressure and these set values. For example, if the measured pressure of the main line continuously exceeds the set upper limit for a period of time, the system will shut down one screw compressor.

[0004] Compressed air consumption fluctuates greatly, primarily due to changes in the production rhythm and stages of the main processes (such as ironmaking, steelmaking, coking, and rolling). Changes in production at each unit directly cause dynamic fluctuations in air load. However, existing control methods exhibit significant lag. When the consumption of compressed air by users in the main processes changes, operators of the compressed air system typically need to contact energy dispatch and main process dispatch via telephone or other communication methods to obtain information before proceeding to the site to start or stop the air compressors. This process is inefficient and heavily reliant on the operator's personal experience and subjective judgment. Personnel can often only make static balance adjustments, making it difficult to respond promptly and accurately to dynamic, real-time changes in supply and demand.

[0005] Because of the reliance on manual communication and on-site operation, there is a significant time delay between sensing changes in air demand and completing air compressor adjustments. When operators are not timely or dispatchers fail to anticipate changes in the main process or communicate adequately, two consequences are highly likely: First, when air consumption is less than air production, the pipeline pressure rises above the safety valve's set value, causing compressed air to be released through the safety valve, resulting in significant energy waste. Second, when air consumption exceeds air production, the pipeline pressure drops sharply, failing to meet production requirements. In severe cases, this can lead to the malfunction of pneumatic equipment, automatic control valves, and instruments, and even affect the stable operation of the entire production system, increasing production costs. Summary of the Invention

[0006] In view of this, the purpose of the present invention is to provide an automated method for dynamic regulation of compressed air.

[0007] To achieve the above objectives, the present invention provides the following technical solution: An automated method for dynamic regulation of compressed air includes the following steps: S1: The automated model collects process parameters, output flow rate, equipment operating status, and equipment number; S2: Input human experience regarding usage changes into the automated model; S3: The automation model automatically controls the equipment according to the collected and input signals, based on the equipment number sequence.

[0008] Furthermore, the types of process usage signals include coking usage signals, long product usage signals, ironmaking usage signals, steelmaking usage signals, and rolling usage signals.

[0009] Furthermore, the automation model enables automated control of the equipment, including automatic start-up, stop, loading, unloading, and adjustment of output flow.

[0010] Furthermore, the automation model controls the equipment based on the following conditions: If output - usage - usage increase + usage decrease < X, then an increase signal is output. If there is an unloading unit, loading is performed; otherwise, the unit is started; thus increasing the output flow rate.

[0011] Furthermore, the automation model controls the equipment based on the following conditions: If output - usage - usage increase + usage decrease > Y, and pipeline pressure > Z, then output a reduction signal. If there is a periodic signal, output unloading; otherwise, stop the machine sequentially to reduce output flow.

[0012] Furthermore, the automation model is integrated into the air compressor cluster controller.

[0013] In a second aspect, the present invention provides an electronic device, including a memory and a processor; The memory is used to store computer programs; The processor is configured to, when executing the computer program, implement the automated method for dynamic adjustment of compressed air as described in any of the preceding claims.

[0014] Thirdly, the present invention provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements an automated method for dynamic adjustment of compressed air as described in any of the preceding claims.

[0015] Fourthly, the present invention provides a computer program product, including a computer program that, when executed by a processor, implements an automated method for dynamic adjustment of compressed air as described in any of the preceding claims.

[0016] The beneficial effects of this invention are as follows: by using this model and accessing relevant control signals and parameters, the system can achieve the ability to regulate compressed air in a systematic way, dynamically balance the pipeline pressure, and the relationship between user consumption and generation, thereby achieving the goal of energy saving and consumption reduction. Attached Figure Description

[0017] To make the objectives, technical solutions, and advantages of the present invention clearer, the preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings, wherein: Figure 1 This is a diagram showing the overall control connection of the air compressor cluster controller. Figure 2 This is a control connection diagram for a coking air compressor. Detailed Implementation

[0018] The following specific examples illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of the present invention. Unless otherwise specified, the following embodiments and features can be combined with each other.

[0019] It should be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of the present invention. Therefore, the drawings only show the components related to the present invention and are not drawn according to the actual number, shape and size of the components in the actual implementation. In the actual implementation, the form, quantity and proportion of each component can be arbitrarily changed, and the layout of the components may also be more complex.

[0020] In the following description, numerous details are explored to provide a more thorough explanation of embodiments of the invention. However, it will be apparent to those skilled in the art that embodiments of the invention may be practiced without these specific details. In other embodiments, well-known structures and devices are shown in block diagram form rather than in detail to avoid obscuring embodiments of the invention.

[0021] Example 1: This invention provides an automated method for dynamic adjustment of compressed air. By optimizing the control model and incorporating human experience into the automation model, the compressed air balance is controlled by a program, thereby automatically adjusting the air compressor, saving energy and reducing consumption, and improving automation capabilities.

[0022] The model conditions are as follows: (1) The automated model collects the usage and output flow, equipment operating status, and starts and stops the equipment in sequence according to the equipment number.

[0023] (2) Convert the human experience of changes in usage into signals and input them into the automation model. For example, if backflushing is required for desulfurization and denitrification of coking plants, an increase of 100 m³ / min is needed. Then, the backflushing switch signal is converted into a flow rate of 100 m³ / min and input into the automation model for judgment.

[0024] (3) Based on the calculation results of the automation model, automatically start and stop the air compressor on site (increase or decrease the usage over a long period of time), load and unload (increase or decrease the usage periodically), and adjust the output flow rate.

[0025] (4) If output - usage - usage increase + usage decrease < 100, then output an increase signal. If there is an unloading unit, then load it; otherwise, start it up; increase output flow.

[0026] (5) If the output-consumption-consumption increase + consumption decrease > 100 and the pipeline pressure > 0.6, then output a reduction signal. If there is a periodic signal, output unloading. If not, stop the machine in sequence to reduce the output flow.

[0027] Example 2: like Figure 1 As shown, the process consumption signals are all transmitted to the air compressor cluster controller through data acquisition. After the controller calculates and outputs the data, it performs start-up, shutdown, and unloading operations on the corresponding air compressor stations to ensure the dynamic balance between pipeline pressure and usage and generation.

[0028] like Figure 2As shown, after the controller collects the required signals, it performs centralized calculations and outputs the results. Taking one station (coking) as an example: If coking output - coking consumption - increase in coking consumption + decrease in coking consumption < X, then a start-up signal is output, and the stations start sequentially. If coking output - coking consumption - increase in coking consumption + decrease in coking consumption > Y, and the pipeline pressure > 0.6, then a stop-down signal is output, and the stations stop sequentially. To ensure the safe supply of air compressors, if the pipeline pressure < 0.6, a turbine signal (priority 1) is output. X and Y are adjusted according to the actual situation on site. The increase and decrease in coking user consumption are the start and end prediction signals for the user. The consumption is pre-set in the controller according to the process, and the four arithmetic operations are performed.

[0029] Example 3: An electronic device, including a memory and a processor; The memory is used to store computer programs; The processor is configured to implement the method described in Embodiment 1 when executing the computer program.

[0030] Example 4: A computer-readable storage medium storing a computer program that, when executed by a processor, implements the method described in Embodiment 1.

[0031] Example 5: A computer program product includes a computer program that, when executed by a processor, implements the method described in Example 1.

[0032] In the above embodiments, the reference to "this embodiment" in the specification indicates that a specific feature, structure, or characteristic described in connection with the embodiment is included in at least some embodiments, but not necessarily all embodiments. Multiple appearances of "this embodiment" do not necessarily all refer to the same embodiment.

[0033] In the above embodiments, although the invention has been described in conjunction with specific embodiments thereof, many substitutions, modifications, and variations of these embodiments will be apparent to those skilled in the art from the foregoing description. For example, other memory structures (e.g., dynamic RAM (DRAM)) may be used with the embodiments discussed. The embodiments of the invention are intended to cover all such substitutions, modifications, and variations falling within the broad scope of the appended claims.

[0034] As will be understood by those skilled in the art, the computer-readable storage medium described in this embodiment allows for the implementation of all or part of the steps in the above method embodiments by computer program-related hardware. The aforementioned computer program can be stored in a computer-readable storage medium. When executed, the program performs the steps of the above method embodiments; and the aforementioned storage medium includes various media capable of storing program code, such as ROM, RAM, magnetic disks, or optical disks.

[0035] The electronic terminal provided in this embodiment includes a processor, a memory, a transceiver, and a communication interface. The memory and the communication interface are connected to the processor and the transceiver and complete communication between them. The memory is used to store computer programs, the communication interface is used to perform communication, and the processor and the transceiver are used to run the computer programs, so that the electronic terminal performs the steps of the above method.

[0036] In this embodiment, the memory may include random access memory (RAM) and may also include non-volatile memory, such as at least one disk storage device.

[0037] The processors mentioned above can be general-purpose processors, including central processing units (CPUs), network processors (NPs), etc.; they can also be digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0038] This invention can be used in a wide range of general-purpose or special-purpose computing system environments or configurations. Examples include: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, and distributed computing environments including any of the above systems or devices, etc.

[0039] This invention can be described in the general context of computer-executable instructions, such as program modules, that are executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc., that perform a specific task or implement a specific abstract data type. This invention can also be practiced in distributed computing environments where tasks are performed by remote processing devices connected via a communication network. In distributed computing environments, program modules can reside in local and remote computer storage media, including storage devices.

[0040] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. An automated method for dynamic regulation of compressed air, characterized in that: Includes the following steps: S1: The automated model collects process parameters, output flow rate, equipment operating status, and equipment number; S2: Input human experience regarding usage changes into the automated model; S3: The automation model automatically controls the equipment according to the collected and input signals, based on the equipment number sequence.

2. The automated method for dynamic adjustment of compressed air according to claim 1, characterized in that: The types of process usage signals include coking usage signals, long product usage signals, ironmaking usage signals, steelmaking usage signals, and rolling usage signals.

3. The automated method for dynamic adjustment of compressed air according to claim 1, characterized in that: The automation model enables automated control of equipment, including automatic start-up, stop, loading, unloading, and adjustment of output flow.

4. The automated method for dynamic adjustment of compressed air according to claim 1, characterized in that: The automation model controls the equipment based on the following conditions: If output - usage - usage increase + usage decrease < X, then an increase signal is output. If there is an unloading unit, loading is performed; otherwise, the unit is started; thus increasing the output flow rate.

5. The automated method for dynamic adjustment of compressed air according to claim 1, characterized in that: The automation model controls the equipment based on the following conditions: If output - usage - usage increase + usage decrease > Y, and pipeline pressure > Z, then output a reduction signal. If there is a periodic signal, output unloading; otherwise, stop the machine sequentially to reduce output flow.

6. The automated method for dynamic adjustment of compressed air according to claim 1, characterized in that: The automation model is integrated into the air compressor cluster controller.

7. An electronic device, characterized in that, Including memory and processor; The memory is used to store computer programs; The processor is configured to, when executing the computer program, implement the automated method for dynamic adjustment of compressed air as described in any one of claims 1-6.

8. A computer-readable storage medium, characterized in that, The storage medium stores a computer program that, when executed by a processor, implements the automated method for dynamic adjustment of compressed air as described in any one of claims 1-6.

9. A computer program product, characterized in that: It includes a computer program that, when executed by a processor, implements the automated method for dynamic adjustment of compressed air as described in any one of claims 1-6.

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