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On-Line Prediction Method of Compressor Faults in Rail Vehicle Air Conditioning Units

A technology for air-conditioning units and rail vehicles, applied in forecasting, machine/engine, rail vehicle heating/cooling, etc., to achieve the effect of improving operational reliability

Active Publication Date: 2020-05-12
石家庄国祥运输设备有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide an online prediction method for the failure of the compressor in the rail vehicle air-conditioning unit, realize the monitoring of the operating state of the compressor, give an early warning before the failure of the compressor, put forward operation and maintenance suggestions, and timely repair the air conditioner. The compressor is replaced and maintained, which solves the current passive status that the failure of the compressor cannot be predicted quantitatively, and the current passive situation of repairing and replacing can only be performed after the compressor fails.

Method used

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  • On-Line Prediction Method of Compressor Faults in Rail Vehicle Air Conditioning Units
  • On-Line Prediction Method of Compressor Faults in Rail Vehicle Air Conditioning Units
  • On-Line Prediction Method of Compressor Faults in Rail Vehicle Air Conditioning Units

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Embodiment 1

[0018] See attached figure 1 , the method of the present invention comprises the following steps.

[0019] Step A. Collect the discharge pressure and suction pressure data of the compressor during the operation of the air-conditioning unit at a certain period. Specifically, the collection cycle of the discharge pressure and suction pressure data of the compressor is H hours, for example, from the time H1 of the previous working day to the time H2 of the current working day. H, H1 and H2 can be reasonably determined according to the vehicle operation management time. For example, the data collection cycle of the discharge pressure and suction pressure of the compressor is 6, 12, 18 or 24 hours, which can be adjusted according to the vehicle operation management plan.

[0020] Step B. Calculate the ratio of the exhaust pressure value and the suction pressure value of the compressor in each group of refrigerant circulation systems according to a certain frequency in the collecte...

Embodiment 2

[0024] Embodiment 2: Different from Embodiment 1, in this embodiment, the air-conditioning unit is also provided with a current transformer for collecting the compressor current, and the accuracy of the method is further ensured by cooperating with the pressure sensor. When any one of the pressure sensor and the pressure sensor fails, the detection of compressor failure can still be realized.

[0025] See attached figure 2 , the method of the present invention comprises the following steps.

[0026] Step A. Collect the discharge pressure and suction pressure data of the compressor during the operation of the air-conditioning unit and the current data of the two sets of compressors collected by the current transformer in a certain period. Specifically, the collection cycle of the discharge pressure and suction pressure data of the compressor is H hours, for example, from the time H1 of the previous working day to the time H2 of the current working day. H, H1 and H2 can be re...

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Abstract

The invention discloses an online prediction method for compressor faults in rail vehicle air-conditioning units, which belongs to the technical field of rail vehicle air-conditioning and includes the following steps: step A, collecting exhaust pressure and suction pressure data; step B, calculating two sets of refrigeration The pressure ratio difference and the average value of the pressure ratio difference of the agent system, and calculate the current difference and the average value of the current difference at the same time; step C, if certain conditions are met, and the pressure ratio difference in the continuous n data acquisition cycles at the same time If both the absolute value of the average value of the value and the absolute value of the average value of the current difference have an increasing trend, the air conditioner unit issues a compressor failure warning. The present invention collects the operating data of the compressor, monitors the operating state of the compressor, warns of compressor failure in advance, performs active operation and maintenance based on the operating state of the compressor, and improves the operating reliability of the air conditioner.

Description

technical field [0001] The invention belongs to the technical field of rail vehicle air conditioning, and in particular relates to an online prediction method for compressor faults in rail vehicle air conditioning units. Background technique [0002] As a public transportation product, the rail vehicle air conditioner is very important for its stable and safe operation. The compressor is the core component of the normal operation of the air conditioner, and its failure will affect the comfort of the passengers in the car and reduce the driving function of the vehicle. [0003] With the development of industrial control technology and network technology, PHM (abbreviation of Prognostic and Heath Management), that is, failure prediction and health management, has been gradually implemented in the field of rail vehicle component maintenance and repair, and has achieved initial results. In view of the large number of vehicle components, the PHM solution of the components needs ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B61D27/00F04B51/00G06Q10/04G08B31/00
CPCB61D27/00F04B51/00G06Q10/04G08B31/00
Inventor 杨玉茹谢冰冰李文华
Owner 石家庄国祥运输设备有限公司
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