Work order intelligent diagnosis method and device based on natural language, equipment and medium
A natural language, intelligent diagnosis technology, applied in neural learning methods, semantic analysis, biological neural network models, etc., can solve problems affecting information analysis and problem solving efficiency, lack of effective analysis methods, affecting the efficient operation and development of power systems, etc. problems, to achieve the effect of improving stability and reliability, improving understanding, and strong generalization performance
Pending Publication Date: 2022-04-15
佳源科技股份有限公司
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Problems solved by technology
This method lacks an effective analysis method, which seriously affects the efficiency of information analysis and problem solving, and directly affects the efficient operation and development of the power
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[0043] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention.
[0044] Such as figure 1 As shown, the present invention provides a method for intelligent diagnosis of work orders based on natural language, comprising the following steps:
[0045] (1) Work order data sample collection
[0046] The power grid system stores all kinds of work order information and subsequent customer service processing since the start of the work order customer service system. These accumulated data contain huge potential value. In the face of huge and complicated enterprise-level text data assets, how to Selecting a sample data set that can fully reflect the characteristics of various work orders is the key to improving the follow-up analysis of this program.
[0047] The usual sample collection method is to directly export all the data within a certain tim...
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The invention discloses an intelligent work order diagnosis method, device and equipment based on a natural language and a medium. The method comprises the following steps: acquiring work order sample data; preprocessing the work order sample data; constructing a work order multi-label classification model, and predicting a work order type and an importance degree of the input work order by using the work order multi-label classification model; screening out a historical work order with the highest similarity with the key information of the work order from a historical work order library according to the work order type and the importance degree of the work order, and obtaining corresponding work order processing information from the historical work order; and feeding back the work order processing information to the corresponding staff. According to the invention, the work order multi-label classification model is established to automatically identify the business type and the importance degree of the work order, and the intelligent diagnosis of the power work order is realized by using the natural language processing technology, so that the fault of the power system can be automatically identified and the fault can be timely positioned, and the closest historical work order can be accurately found from the historical work order library. And reference is provided for customer service personnel.
Description
technical field [0001] The invention relates to the technical field of electric power operation and maintenance, in particular to a natural language-based intelligent diagnosis method, device, equipment and medium for a work order. Background technique [0002] In the fierce market competition, customer service has become one of the important issues facing enterprises in the market. Under the trend of rapid development in recent years, many companies have realized the importance of customer service: to satisfy customers and regard meeting customer needs as The goal and center of all work. According to the different actual conditions of each enterprise, it is an important issue for all enterprises to establish a customer service center suitable for the enterprise at this stage. Good customer service can connect the relationship between enterprises and customers, maintain and create a good social image of enterprises, and finally achieve the long-term goal of cultivating cons...
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Login to View More IPC IPC(8): G06F40/30G06F16/33G06F16/35G06K9/62G06N3/04G06N3/08G06Q30/00G06Q50/06
CPCG06F40/30G06F16/35G06F16/3344G06Q30/012G06Q50/06G06N3/08G06N3/044G06F18/24G06F18/214
Inventor 马培龙孙坚
Owner 佳源科技股份有限公司