Maintenance prediction device and method based on historical maintenance record big data

Abstract

The invention discloses a maintenance prediction device based on historical maintenance record big data. The device comprises a record storage part, a communication part, a similar report informationretrieval part, a probability statistical calculation part, a frequency statistical calculation part, a time retrieval calculation part, an analytical determination part, a display input part and a record update part, wherein the probability statistical calculation part is used for performing statistical calculation to obtain the probability of occurrence of all actual faults under a reported fault; the frequency statistical calculation part is used for performing statistical calculation to obtain the frequency of occurrence of all the actual faults under the reported fault; the time retrievalcalculation part is used for performing calculation to obtain a reported fault time difference; and the analytical determination part is used for performing analytical determination according to judgment rules on the basis of the frequency of occurrence and the probability of occurrence of the actual faults corresponding to the reported fault in current report information and the reported fault time difference to obtain possible faults of reported equipment in the current report information. Comparative judgment is performed according to the probability of occurrence and the frequency of occurrence of the actual faults corresponding to a certain reported fault in a historical maintenance record, and therefore the possible faults corresponding to the current reported fault are obtained automatically. The invention furthermore provides a corresponding method.

Description

technical field [0001] The invention relates to a maintenance prediction device, which belongs to the field of computer applications. Background technique [0002] In a large office building or a large company headquarters, especially a multi-national company headquarters office building with multiple office equipment (PCs, printers, copiers, fax machines), some equipment often breaks down, requiring a logistics support department to repair. [0003] The typical repair and repair process is as follows: when a certain device fails, the user will inform the logistics department of the name and location of the faulty device by means of telephone or network platform, and at the same time inform the superficial fault situation: such as computer power-on Inform the maintenance department of blue screen, no response when the computer is turned on, or a sudden black screen during computer use, etc., and then leave the maintenance time, contact information and contact person. Accor...

AI Technical Summary

Problems solved by technology

[0006] The present invention aims to solve the above-mentioned problem that the reported repair fault provided by the user who reported the repair only has a simple fault phenomenon and cannot accurately identify the actual fault. For this reason, the present invention performs predictive analysis based on big data, and provides the following maintenance records based on history Big data maintenance prediction device and method

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