Vibration alarm processing system and method

Abstract

The invention discloses a vibration alarm processing system and method. The processing system comprises a wireless vibration sensor, an industrial internet gateway and an equipment state monitoring system. The wireless vibration sensor acquires vibration acceleration data of the equipment, calculates a vibration characteristic value and uploads the vibration characteristic value to the industrial internet gateway; the industrial internet gateway receives the vibration characteristic value and forwards and uploads the vibration characteristic value to an equipment state monitoring system; and the equipment state monitoring system receives the vibration characteristic value of the equipment, analyzes the vibration characteristic value, judges whether the equipment has a fault or not, and generates alarm information and pushes the alarm information to an equipment manager client if the equipment has the fault. The method has the beneficial effects that whether the equipment has a fault can be more accurately and automatically judged without setting an alarm threshold value for the vibration characteristic value, false alarms and missing alarms are less than those of a threshold value alarm judgment method, and the part with the fault and the reason can be judged.

Description

technical field [0001] The invention relates to an equipment fault alarm processing method, in particular to a vibration alarm processing system and method, and belongs to the technical field of mechanical equipment fault diagnosis. Background technique [0002] With the miniaturization and cost reduction of vibration sensors, vibration monitoring and vibration analysis have been widely used in large or key machinery and equipment in various industries, especially rotating machinery and equipment. The vibration analysis algorithms of various mechanism models are becoming more and more Mature, especially with the development of the Industrial Internet in recent years, equipment predictive maintenance technology based on vibration data has been widely used in coal mines, steel, petroleum, chemical and other industries. [0003] Equipment predictive maintenance technology based on vibration data often uses acceleration sensors. Compared with vibration velocity or displacement s...

AI Technical Summary

Problems solved by technology

[0004] However, the disadvantage of the existing technology is that in the actual production environment, the working environment of each mechanical equipment is different. The equipment of the same type has different loads, different degrees of foundation hardness, and different surrounding vibration environments. The intensity of vibration often varies greatly. For example, when a centrifugal pump of the same type operates alone on a soft foundation and a pump group on a very hard foundation, the vibration amplitude may differ by several times or even more. Under such circumstances, it is difficult to accurately set the threshold with the threshold alarm method commonly used in the industry. Wrong threshold setting will cause a large number of false alarms or missed alarms. When there are many connected devices, vibration analysts are required It is inefficient to set up a piece of equipment according to the actual situation and experience after observing it for a certain period of time, and it greatly depends on the experience of equipment managers and vibration analysts. There is no uniform standard, and the accuracy is difficult to guarantee. Secondly, simple Threshold alarm, unable to know the cause and location of equipment failure

Images