Equipment fault alarm method and computing equipment
A technology for equipment failure and computing equipment, applied in computing, instrumentation, electrical digital data processing, etc., to achieve the effect of convenient priority processing of serious alarms, high sensitivity and reliability, and improved effective alarm rate
Active Publication Date: 2018-06-08
合肥科博软件技术有限公司
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Problems solved by technology
[0003] To this end, the present invention provides a device failure alarm method and a computing device to solve or at least alleviate the above problems
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[0031] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.
[0032] figure 1 A schematic diagram of an equipment failure alarm system 100 according to an embodiment of the present invention is shown. like figure 1 As shown, the alarm system 100 includes a device under test 110 , a sensor 120 and a computing device 200 .
[0033] The device to be tested 110 may be, for example, a mechanical device such as a spindle, a motor, a pump, a gearbox, and a rolling bearing. For example, the sensor...
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The invention discloses an equipment fault alarm method. The method is executed in computing equipment and is suitable for determining an alarm level of to-be-monitored equipment according to monitoring index values, collected in real time, of the to-be-monitored equipment, wherein the monitoring index value collected at each moment serves as one data point, multiple data points form a time domaincurve of monitoring indexes, the time domain curve is divided into multiple trend segments, each trend segment comprises a starting point, an ending point, a highest point and a lowest point, and theending point of the last trend segment is the starting point of the next trend segment. The method comprises the steps that the monitoring index value collected at the current moment is used as one data point and added into the current trend segment; the deterioration level of the current trend segment is determined according to the highest point and the lowest point of the current trend segment;the risk level of the current trend segment is determined according to the data points of the current trend segment and the data points in predetermined time prior to the current trend segment; and the alarm level of the to-be-monitored equipment is determined according to the deterioration level and the risk level. The invention also discloses the corresponding computing equipment.
Description
technical field [0001] The invention relates to the technical field of equipment state monitoring and fault diagnosis, in particular to an equipment fault alarm method and a computing device. Background technique [0002] In the state monitoring and fault diagnosis of equipment, it is a common method to compare the monitoring index value (such as vibration acceleration, displacement, etc.) with a preset threshold to determine whether the equipment is faulty. Usually, when the index value is lower than the threshold, it is considered that there is no fault; when the index value is higher than the threshold, it is considered that the equipment is in an abnormal or even high-risk state, and an alarm signal is issued. Whether the threshold setting is reasonable or not directly affects the sensitivity and reliability of fault monitoring. If the threshold is too high, the real alarm signal will be missed; if the threshold is too low, it will cause false alarms due to the frequent...
Claims
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Login to View More IPC IPC(8): G06F11/30G06F11/32
CPCG06F11/3055G06F11/3065G06F11/327
Inventor 朱非白贾维银
Owner 合肥科博软件技术有限公司