Equipment abnormality automatic diagnosis system

Abstract

The invention discloses an equipment abnormality automatic diagnosis system. The system is applied to the field of water affair equipment monitoring. The system specifically comprises a plurality of acquisition terminals, an analysis terminal, a first regulation and control terminal and a second regulation and control terminal. According to the technical schemes of the invention, the abnormity ofwater affair equipment can be automatically diagnosed; remote regulation and control can be performed according to a preset model when an abnormal state is solved through remote regulation and control, and work order delivery is performed according to the nearest distance when operation and maintenance personnel need to perform field disposal, so that the quick response capability of equipment abnormality is greatly improved, and the satisfaction of a user is improved while the water affair service level is increased; besides, with a solution arranged in a work order, the technical problem that the disposal by the operation and maintenance personnel is complex can be effectively solved, and the training cost of the after-sales operation and maintenance personnel can be effectively reduced.

Description

Technical field [0001] The present invention relates to the field of water service equipment monitoring, in particular to an equipment abnormality automatic diagnosis system. Background technique [0002] In the field of water equipment monitoring, relatively simple alarm methods are commonly used in the industry, including limit alarms (such as exceeding the upper or lower limit of pressure) and switch alarms (such as pump shutdown, power failure alarm, etc.), and these alarms None of them are obtained through analysis. Only simple logic judgments can be used to complete these simple logic judgments using the PLC inside the pump room. [0003] There are many problems with the existing alarm methods for water equipment monitoring: [0004] 1) The data collection frequency is low, not enough to form big data analysis, and the alarm itself does not have the big data analysis function; [0005] 2) The alarm judgment is based on a single acquisition volume and parameter value, the result...

AI Technical Summary

Problems solved by technology

[0004] 1) The frequency of data collection is low, which is not enough to form big data analysis, and the alarm itself does not have the function of big data analysis;

[0005] 2) The alarm judgment is based on a single collection amount and parameter value, the result is not accurate, and it is easy to cause false alarms;

[0006] 3) For the existing alarm monitoring platform, it is easy to generate data jumps due to its own system limitations during operation, and then cause false alarms;

[0007] 4) In the face of a large number of frequent and useless alarm information, it is often difficult for water companies to distinguish, which will further lead to a huge management burden

[0008] 5) The existing alarm monitoring platform can only provide warning information but cannot provide corresponding solutions. In addition, the ability level of operation and maintenance personnel is uneven, which may easily lead to slow fault resolution and affect user experience

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