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CN-122024450-A - Automatic early warning system of air compression station based on air supporting axle

CN122024450ACN 122024450 ACN122024450 ACN 122024450ACN-122024450-A

Abstract

The invention relates to an automatic early warning system of an air compression station based on an air bearing shaft, which belongs to the technical field of air compression stations and comprises the air bearing shaft, a control module and a monitoring module electrically connected with the control module, wherein the air bearing shaft is used for driving the air compression station, the monitoring module is used for monitoring the air supply pressure, the bearing temperature, the vibration amplitude and the rotating speed of the air bearing shaft, uploading pressure data, temperature data, amplitude data and rotating speed data to the control module, and the control module is used for calculating a comprehensive risk coefficient according to the pressure data, the temperature data, the amplitude data and the rotating speed data and sending an alarm when the comprehensive risk coefficient exceeds a threshold value.

Inventors

  • SUN XIAOQIN
  • HU PEISHENG

Assignees

  • 广东鑫钻节能科技股份有限公司

Dates

Publication Date
20260512
Application Date
20260320

Claims (7)

  1. 1. The automatic early warning system for the air compression station based on the air floating shaft is characterized by comprising the air floating shaft, a control module and a monitoring module electrically connected with the control module, wherein the air floating shaft is used for driving the air compression station, the monitoring module is used for monitoring air supply pressure, bearing temperature, vibration amplitude and rotating speed of the air floating shaft, uploading pressure data, temperature data, amplitude data and rotating speed data to the control module, and the control module is used for calculating a comprehensive risk coefficient according to the pressure data, the temperature data, the amplitude data and the rotating speed data and sending an alarm when the comprehensive risk coefficient exceeds a threshold value.
  2. 2. The automatic early warning system of an air compression station based on an air bearing shaft according to claim 1, wherein the monitoring module is used for monitoring air supply pressure, bearing temperature, vibration amplitude and rotating speed of the air bearing shaft, and uploading pressure data P, temperature data W, amplitude data V and rotating speed data S to the control module, and the control module is used for calculating comprehensive risk coefficients Z=P/0.8P0+W/0.8W0+V/0.8V0+S/0.8S0, wherein P0, W0, V0 and S0 are constants input in advance.
  3. 3. The automatic early warning system of an air compression station based on an air bearing shaft according to claim 1, wherein the control module is used for calculating the comprehensive risk coefficient by means of weighted average according to pressure data, temperature data, amplitude data and rotating speed data.
  4. 4. The automatic early warning system of an air compression station based on an air bearing shaft is characterized in that the monitoring module is used for monitoring air supply pressure, bearing temperature, vibration amplitude and rotating speed of the air bearing shaft and uploading pressure data P, temperature data W, amplitude data V and rotating speed data S to the control module, and the control module is used for calculating a comprehensive risk coefficient Z= (k1×P/P0+k2×W/W0+k3×V/V0+k4×S/S0)/(k1+k2+k3+k4), wherein k1, k2, k3, k4, P0, W0, V0 and S0 are constants input in advance, and k3> k4> k1> k2.
  5. 5. An automatic early warning system for an air bearing station based on an air bearing shaft as set forth in claim 2 wherein said control module is configured to generate a function f (t) of amplitude over time after receiving the amplitude data, said control module is configured to calculate an integrated risk factor Z=P/0.8P0+W/0.8W0+X+S/0.8S0, wherein X= T0 is a constant input in advance.
  6. 6. The automatic early warning system of air bearing station based on air bearing shaft as set forth in claim 5, wherein the control module is configured to calculate an integrated risk factor Z=P/0.8P0+W/0.8W0+X+S/0.8S0, where X= T0 is a constant a1=s/0.8S0 ×d inputted in advance, and d is a correction coefficient inputted in advance.
  7. 7. The automatic early warning system of an air bearing based air bearing station of claim 6 further comprising a control panel for inputting values of k1, k2, k3, k4, P0, W0, V0, S0 and t 0.

Description

Automatic early warning system of air compression station based on air supporting axle Technical Field The invention belongs to the technical field of air compression stations, and particularly relates to an automatic early warning system of an air compression station based on an air floating shaft. Background The air compression station, namely the compressed air station, is composed of an air compressor, an air storage tank, air treatment and purification equipment and a cold dryer, and is widely applied to various industries in production and life. The intelligent energy air compressor energy-saving control system and the control method thereof disclosed in Chinese patent CN117128162B comprise energy consumption monitoring equipment, a data processing module, an energy consumption model building module, an energy consumption analysis module, an energy consumption optimization module, an intelligent scheduling decision module and an intelligent scheduling decision module, wherein the energy consumption monitoring equipment is used for monitoring and recording energy consumption data of an air compressor in real time, the data processing module is used for transmitting the energy consumption data recorded by the energy consumption monitoring equipment into the energy saving control system for processing and analyzing, the energy consumption model building module is used for building an energy consumption model of the air compressor based on the historical and real-time energy consumption data, the energy consumption analysis module is used for analyzing the real-time data, the current energy consumption condition is evaluated, the intelligent scheduling decision module is used for performing intelligent scheduling decision according to a planned production task and an energy consumption target, the intelligent scheduling decision module is used for performing intelligent scheduling decision through the intelligent scheduling decision, and the intelligent energy consumption decision system can be used for accurately understanding the energy consumption law of the air compressor in terms of pressure, temperature and flow and monitoring and energy consumption, and the full energy consumption efficiency can be well understood. Under some conditions, the air bearing station needs to use an air bearing shaft as a drive, however, the operation of the air bearing shaft is highly dependent on stable external environment, and working condition fluctuation easily occurs, so that the condition of the air bearing shaft affects the output of the air bearing station, for example, under the condition that the air bearing shaft is unstable and the output of compressed gas is reduced, important monitoring and early warning are required for the air bearing shaft, and for this reason, an air bearing station energy consumption prediction system based on air bearing shaft drive with accurate early warning is required to consider air bearing shaft monitoring. Disclosure of Invention In order to solve the problems in the prior art, the invention provides an automatic early warning system of an air compression station based on an air bearing shaft, which has the characteristics of taking air bearing shaft monitoring into consideration and early warning accuracy. The aim of the invention can be achieved by the following technical scheme: the utility model provides an automatic early warning system of air compression station based on air supporting axle, includes air supporting axle, control module and the monitoring module who is connected with the control module electricity, the air supporting axle is used for driving the air compression station, the monitoring module is used for monitoring air feed pressure, bearing temperature, vibration range and the rotational speed of air supporting axle to with pressure data, temperature data, amplitude data and rotational speed data upload to control module, control module is used for calculating comprehensive risk coefficient according to pressure data, temperature data, amplitude data and rotational speed data, and send the alarm when comprehensive risk coefficient exceeds the threshold value. As a preferable technical scheme of the invention, the monitoring module is used for monitoring the air supply pressure, the bearing temperature, the vibration amplitude and the rotating speed of the air bearing shaft, and uploading pressure data P, temperature data W, amplitude data V and rotating speed data S to the control module, wherein the control module is used for calculating the comprehensive risk coefficient z=p/0.8p0+w/0.8w0+v/0.8v0+s/0.8S0, wherein P0, W0, V0 and S0 are constants input in advance. As a preferred embodiment of the present invention, the control module is configured to calculate the integrated risk factor using a weighted average based on the pressure data, the temperature data, the amplitude data, and the rotational speed data. As a preferred technical scheme of the inven