CN-121976944-A - Automatic method for dynamic adjustment of compressed air

Abstract

The invention relates to an automatic method for dynamic adjustment of compressed air, which belongs to the technical field of compressed air processes and comprises the following steps of S1, inputting manual experience of quantity change into an automatic model, S3, automatically controlling equipment according to collected and input signals by the automatic model according to the equipment numbering sequence, wherein the automatic model collects process quantity, output flow, equipment running state and equipment number. The invention can realize systematic regulation capability of compressed air, dynamic balance of pipe network pressure and the relation between the user consumption and the occurrence amount, and realize the purposes of energy conservation and consumption reduction.

Inventors

• Gong Qiulei
• WU GUOYE
• Li Leibao
• WANG YI
• Xiang Mingzhao

Assignees

• 重庆钢铁股份有限公司

Dates

Publication Date

20260505

Application Date

20260209

Claims (9)

1. 1. An automatic method for dynamic adjustment of compressed air is characterized by comprising the following steps: s1, an automatic model collects process consumption, output flow, equipment running state and equipment number; S2, inputting the manual experience of the dosage change into an automatic model; and S3, automatically controlling the equipment according to the acquired and input signals by the automatic model according to the equipment numbering sequence.
2. 2. The method for automatically adjusting compressed air according to claim 1, wherein the process quantity signal comprises a coking quantity signal, a long material quantity signal, a pre-iron quantity signal, a steelmaking quantity signal and a steel rolling quantity signal.
3. 3. The automated method of dynamic adjustment of compressed air according to claim 1, wherein the automated model performs automated control of the plant, including automatic start-up, shut-down, loading, unloading, and adjustment of the output flow.
4. 4. The automated method of dynamic conditioning of compressed air according to claim 1, wherein the automated model controls the plant according to the following conditions: if the output, the consumption increase and the consumption decrease are less than X, an increase signal is output, if an unloading unit is arranged, loading is carried out, if not, starting is carried out, and the output flow is increased.
5. 5. The automated method of dynamic conditioning of compressed air according to claim 1, wherein the automated model controls the plant according to the following conditions: If the output-consumption increase+consumption decrease > Y and the pipe network pressure > Z, outputting a decrease signal, if periodic signals are in the process of outputting and unloading, if not, stopping the machine in sequence, and reducing the output flow.
6. 6. The method for automatically adjusting the dynamic state of compressed air according to claim 1, wherein the automatic model is mounted in an air compressor cluster controller.
7. 7. An electronic device comprising a memory and a processor; The memory is used for storing a computer program; The processor for implementing an automated method of compressed air dynamic adjustment according to any one of claims 1 to 6 when executing the computer program.
8. 8. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, implements an automated method of dynamic adjustment of compressed air according to any one of claims 1 to 6.
9. 9. A computer program product comprising a computer program which, when executed by a processor, implements an automated method of dynamic adjustment of compressed air according to any one of claims 1 to 6.

Description

Automatic method for dynamic adjustment of compressed air Technical Field The invention belongs to the technical field of compressed air processes, and relates to an automatic method for dynamic adjustment of compressed air. Background Compressed air is an indispensable power source in industrial production and plays a vital role in the factory production process. It is widely used in a variety of contexts 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 industry, shipbuilding and the like, a compressed air system is large in scale and complex in structure, and is often composed of a plurality of air compression stations and a communicated compressed air pipe network together so as to meet the gas consumption requirements of all areas of a whole plant. Currently, compressed air system operation management for most industrial enterprises is still in a relatively rough state. The system operation mainly depends on manual inspection and manual transcription of operation data, and the operation state of the air compressor is adjusted by means of personal experience. The conventional air compressor control generally adopts a constant pressure control mode, namely, a target pressure value of an air supply main pipe is manually set, and pressure upper and lower limit setting values are calculated by considering a certain dead zone range. The screw machine group in the air compression station performs loading, unloading, starting and stopping and other control actions according to the comparison result of the actual main pipe pressure and the set values. For example, when the measured pressure of the parent pipe continues to exceed a set upper limit for a period of time, the system shuts down a screw machine. The amount of compressed air used fluctuates greatly, mainly because it varies with the production pace and stage of the main process (e.g., iron making, steel making, coking, steel rolling, etc.). Production variations in each production unit can directly cause dynamic fluctuations in the utility gas load. However, there is a significant hysteresis in the existing regulatory modes. When the usage amount of the main process user changes, an operator of the compressed air system usually needs to be connected with the energy scheduling and the main process scheduling in a communication mode such as telephone and the like, and after information is acquired, the operator goes to the site to execute the start-up or stop operation of the air compressor. This process is inefficient and highly dependent on the personal experience and subjective judgment of the operator. Personnel can only make static balance adjustment, and timely and accurate response to dynamic and real-time changing supply and demand conditions is difficult. Because of the dependence on manual communication and on-site operation, a long time delay exists from sensing the change of the air demand to completing the adjustment of the air compressor. When the operation of operators is not timely, or the main process change is prejudged by the scheduling staff to be insufficient, and the connection is insufficient, two consequences are very easy to be caused, namely, when the gas consumption is smaller than the gas production, the pressure of the pipe network is increased to exceed the set value of the safety valve, so that compressed air is diffused through the safety valve, and the energy is obviously wasted, and when the gas consumption exceeds the gas production, the pressure of the pipe network is rapidly reduced, the production requirements cannot be met, and pneumatic equipment, an automatic control valve and an instrument can not work normally even influence the stable operation of the whole production system, so that the production and manufacturing cost is increased. Disclosure of Invention In view of the above, an object of the present invention is to provide an automated method for dynamic adjustment of compressed air. In order to achieve the above purpose, the present invention provides the following technical solutions: an automated method of compressed air dynamic conditioning comprising the steps of: s1, an automatic model collects process consumption, output flow, equipment running state and equipment number; S2, inputting the manual experience of the dosage change into an automatic model; and S3, automatically controlling the equipment according to the acquired and input signals by the automatic model according to the equipment numbering sequence. Further, the process dosage signal types comprise a coking dosage signal, a long material dosage signal, a pre-iron dosage signal, a steelmaking dosage signal and a steel rolling dosage signal. Further, the automation model performs automation control on the equipment, including automatic start, stop, loading, unloading, and adjusting the o