Motor monitoring early warning method and system
A technology of motor monitoring and monitoring end, which is applied in the field of motor monitoring and early warning methods and systems, which can solve problems such as inability to early-stage early warning, economic loss, and failure to restore the fault site, and achieve the effect of improving reliability and comprehensiveness, and achieving comprehensiveness
Pending Publication Date: 2018-08-07
北京迪利科技有限公司
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Benefits of technology
This technology allows for better detection and prevention of motors that are running out or damaged during operation. It uses real time operational data from an end device (monitor) with sensing capabilities to detect any issues before they become too severe. Based upon this detected problematic condition, it sends its own decision processing instructions back downstream through communication channels to help servers monitor them more accurately. Additionally, if there's another issue where certain parts have gone wrong due to wear over time, these systems will automatically trigger alarms based on their current state of healthiness. Overall, this technology helps maintain reliable performance and reduces downtime costs associated with maintenance operations.
Problems solved by technology
This patents discusses how current techniques for detecting failures in motors involve stopping them during regular servicing or maintaining them afterwards when they start again. However, these conventional approaches have limitations with regard to their ability to provide timely warnings before any damage starts happening. Additionally, there exist issues related to identifying potential causes of defects (such as cracks) within specific areas where the motor's run becomes unstable without being stopped temporarily. These challengings lead to significant financial costs associated with repairing damaged parts and prevention from future catastrophic events like fires.
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[0040] After investigation, it is found that most of the existing methods for monitoring the running state of the motor are not comprehensive. For example, the existing motor detection technology is generally an offline detection method. When the equipment is shut down, the maintenance personnel conduct routine inspection and maintenance on the motor based on their own experience. Although this detection method can also find some motor faults, it is often lagging behind and cannot give early warning at the initial stage of the fault. Recovering major economic losses; and before the power outage maintenance, it is necessary to coordinate relevant departments, select the appropriate downtime time, make maintenance preparations and preparation plans, which may cause interruptions to work and production; and this offline maintenance method, often Destroying the fault site, some faults only occur under specific conditions, and the fault site cannot be restored after shutdown, and the c
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The invention relates to the online monitoring technology field of an intelligent motor, is applied to a monitoring end and a service end which are in mutual communication connection and particularlyrelates to a motor monitoring early warning method and system. The method comprises steps that operation data of the motor is acquired by the monitoring end in real time, the operation data is analyzed through the preset motor fault determination algorithm, the fault determination and analysis result is acquired, and the operation data and the fault determination and analysis result are sent to the service end; the operation data and the fault determination and analysis result are received by the service end, the operation data and the fault determination and analysis result are analyzed, thecorresponding relationship between the operation data and the fault determination analysis result is established, the analysis result and the fault prediction information are acquired according to thecorresponding relationship, and the analysis result and the fault prediction information are stored and sent. The method is advantaged in that reliability and comprehensiveness of motor monitoring and early warning can be improved.
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