A knowledge recommendation method and an operation and maintenance work platform of an operation and maintenance work order
A technology of recommending methods and knowledge, applied in the field of IT operation and maintenance services, can solve problems such as weak information flow of operation and maintenance work orders, and achieve the effect of improving customer satisfaction and improving work efficiency
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Embodiment 1
[0037] At present, the main job of the operation and maintenance service personnel is to solve the trouble ticket generated based on the monitoring system of the operation and maintenance system. When the operation and maintenance monitoring system detects a failure of an asset, it will automatically generate or the monitoring personnel will manually fill in an alarm work order based on the asset. The content generally includes information such as the faulty equipment, fault phenomenon, and fault time. After receiving the alarm work order, the operation and maintenance personnel will conduct fault analysis and solve the fault, but this information cannot support the operation and maintenance personnel to quickly determine the root cause of the problem and provide a solution. However, homogeneous fault content or low-quality fault descriptions will affect the technical judgment of operation and maintenance personnel. For the problem of weak information flow of existing operatio...
Embodiment 2
[0043] According to the analysis of a large number of operation and maintenance events, the same asset, the same brand asset or even the same type of asset often have fault events with the same characteristics, and the causes of such fault events and the nature of the problem have many similarities, and even through the same solution ideas and solutions to deal with.
[0044] refer to figure 2 , the knowledge recommendation sequence in process 3 is used to sort according to the number of matches between work order word segmentation results and knowledge keywords, and the number of matches is sorted from large to small. The knowledge recommendation sequence includes knowledge recommendation sequence 1, knowledge recommendation sequence 2 and knowledge recommendation sequence 3. The knowledge recommendation sequence is defined as knowledge recommendation sequence 1, knowledge recommendation sequence 2, and knowledge recommendation sequence 3 according to the sequence before and...
Embodiment 3
[0050] The difference from Embodiment 1 is that this embodiment provides a method for recommending operation and maintenance work order knowledge. After the work order is transformed into work order in process 1, it is judged whether there needs to be transformed into knowledge. Knowledge extraction extracts the work order processing process information for the work order to be converted, and transforms it into knowledge. Knowledge editing is to edit knowledge and capture keywords of knowledge. Expert review is for operation and maintenance experts to review knowledge to ensure the rationality of knowledge.
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