Water industry emergency decision generation method and device

Abstract

The invention provides a water industry emergency decision generation method and device. The method comprises: collecting water industry knowledge; wherein the water industry knowledge comprises waterindustry expert knowledge and water industry historical disaster emergency plan knowledge; constructing a water industry knowledge base according to the water industry knowledge; performing contextual case extraction on the current disaster event to generate an emergency case of the current disaster event; and generating an emergency decision of the current disaster event according to the generated emergency case and the constructed water industry knowledge base. According to the method, effective organization and utilization of unstructured experience, knowledge and data in the water industry are realized. Historical process recording of water industry emergency cases can be achieved in a scene mode, meanwhile, historical experience and similar case emergency measures can be combined with scenes to be pushed in a dynamic mode, and a more convenient and accurate information management method and decision-making means are provided for the industry.

Description

technical field [0001] The invention relates to data processing technology, in particular to a method and device for generating emergency decision-making in the water industry. Background technique [0002] In the process of informatization development of the water industry, administrative units at all levels, scientific research institutes, and water affairs units at the grassroots level have accumulated a considerable amount of knowledge and information on the water industry. This type of knowledge is usually stored in a database as structured data or in an unstructured database as unstructured text. [0003] Structured knowledge is easy to extract and apply, but the value of knowledge is limited and too small, and it is difficult to meet the growing application and expansion of knowledge in the water industry. Unstructured knowledge has a large volume and variety, but lacks structured distinction and relationship establishment , knowledge is difficult to be effectively u...

AI Technical Summary

Problems solved by technology

[0003] Structured knowledge is easy to extract and apply, but the value of knowledge is limited and too small, and it is difficult to meet the growing application and expansion of knowledge in the water industry. Unstructured knowledge has a large volume and variety, but lacks structured distinction and relationship establishment , knowledge is difficult to be effectively used and discovered

[0004] In the existing technology, unstructured databases are often used for the application of water industry knowledge, and such experience and knowledge are stored, or the knowledge in the text is extracted manually and stored in a structured database. The expansion and application of knowledge are relatively cumbersome, and users often cannot obtain unstructured knowledge and information in a timely and effective manner

Moreover, the method of the prior art needs to consume huge human resources, and the personnel who are required to extract have the knowledge background of the relevant industry. For the large amount of unstructured data in the water industry, the amount of work is huge

At the same time, knowledge update and maintenance also need to adopt artificial knowledge extraction, which is not conducive to the effective transfer and sustainable development of water industry knowledge

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