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基于专家库的二次措施单智能校验系统研究

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在继电保护、安全自动装置及其二次回路上或相关一次设备上工作时,为防范人身、电网或设备安全事故事件应采取隔离措施,二次措施单作为二次安全措施执行的书面依据,对保证电气二次回路上工作的正确性有着十分重要的作用。目前,二次措施单的规范性和正确性只能通过人工排查,难以发现二次措施单的错误。如果人工未能查出有问题的二次措施单,按照错误的二次措施单执行二次安全措施,可能造成电力事故的发生。本文采用二次措施单语义识别和校验专家库,设计开发了基于专家库的二次措施单智能校验系统。引入二次措施单语义校核功能,利用专家库的方法,通过设定的规则与专家库进行比对,完成二次措施单的语义校验。经实验验证,基于专家库的二次措施单智能校验系统大大提高了二次措施单的规范性和准确性,解决了现有的人工校核二次措施单容易出错且效率低下的问题。
Research on a secondary measure single intelligent verification system based on expert database
The isolation measures that should be taken to prevent personal,power grid,or equipment safety accidents when working on relay protection,safety automatic devices,and their secondary circuits or related primary equipment.As a written basis for the implementation of secondary safety measures,the secondary measure sheet plays a crucial role in ensuring the correctness of work on the electrical secondary circuit.At present,the standardization and correctness of the secondary measure list can only be manually checked,making it difficult to detect errors in the secondary measure list.If manual labor fails to identify the problematic secondary measure sheet and executes secondary safety measures according to the incorrect secondary measure sheet,it may lead to the occurrence of power accidents.This article adopts a secondary measure single semantic recognition and verification expert database,and designs and develops a secondary measure single intelligent verification system based on the expert database.Introduce the function of semantic verification for secondary measure lists,and use the method of expert database to compare the set rules with the expert database to complete semantic verification for secondary measure lists.Through experimental verification,the intelligent verification system for secondary measure orders based on expert databases has greatly improved the standardization and accuracy of secondary measure orders,solving the problem of error prone and low efficiency in existing manual verification of secondary measure orders.

secondary measures listexpert databasesintelligent verification

封之聪、黄宗彬、何厚都、刘健宏、李运

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广西电网有限责任公司 玉林供电局,广西 玉林 537000

二次措施单 专家库 智能校验

2025

智能计算机与应用
哈尔滨工业大学

智能计算机与应用

影响因子:0.357
ISSN:2095-2163
年,卷(期):2025.15(1)