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计算机科学与探索
Journal of Frontiers of Computer Science and Technology
ISSN 1673-
Generate a question from the above text: | What is the full name of the journal? |
9418,CN 11-5602/TP
《计算机科学与探索》网络首发论文
题目
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I want to test the ability of students to read a passage and answer questions about it. Could you please come up with a good question for the passage ":
融合大模型与图神经网络的电力设备缺陷诊断
作者:
李莉,时榕良,郭旭,蒋洪鑫
网络首发日期:
2024-07-29
引用格式"? | What is the first name of the first author? |
:
李莉,时榕良,郭旭,蒋洪鑫.
Generate a question from the above text: | What is the name of the second person mentioned? |
融合大模型与图神经网络的电力设备缺陷诊
断[J/OL].计算机科学与探索.
https://link.cnki.net/urlid/11.
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5602.TP.
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20240729.
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1054.
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004
网络首发:在编辑部工作流程中,稿件从录用到出版要经历录用定稿、排版定稿、整期汇编定稿等阶
段。
Generate a question from the above text. | What is the second stage in the process of getting a manuscript ready for publication? |
录用定稿指内容已经确定,且通过同行评议、主编终审同意刊用的稿件。
Generate a question from the above passage : | What does the term "recording" mean? |
排版定稿指录用定稿按照期
刊特定版式(包括网络呈现版式)
Generate a question from the above passage : | 排版定稿指的是按照期刊特定版式的定稿是按照什么的定稿? |
排版后的稿件,可暂不确定出版年、卷、期和页码。
Generate a question from the above passage : | 排版后的稿件,可暂不确定出版的年份、卷、期和页码。 |
整期汇编定稿指出
版年、卷、期、页码均已确定的印刷或数字出版的整期汇编稿件。
Generate a question from the above text: | What is the Chinese translation of "issue"? |
录用定稿网络首发稿件内容必须符合《出
版管理条例》和《期刊出版管理规定》的有关规定;学术研究成果具有创新性、科学性和先进性,符合编
辑部对刊文的录用要求,不存在学术不端行为及其他侵权行为;稿件内容应基本符合国家有关书刊编辑、
出版的技术标准,正确使用和统一规范语言文字、符号、数字、外文字母、法定计量单位及地图标注等。
Generate a question from the above passage : | What must the content of a new publication conform to? |
为确保录用定稿网络首发的严肃性,录用定稿一经发布,不得修改论文题目、作者、机构名称和学术内容,
只可基于编辑规范进行少量文字的修改。
Generate a question from the above text: | What is the purpose of the rules about not changing the title of a paper? |
出版确认:纸质期刊编辑部通过与《中国学术期刊(光盘版)》电子杂志社有限公司签约,在《中国
学术期刊(网络版)》出版传播平台上创办与纸质期刊内容一致的网络版,以单篇或整期出版形式,在印刷
出版之前刊发论文的录用定稿、排版定稿、整期汇编定稿。
Generate a question from the above passage : | What type of publication is the network version? |
因为《中国学术期刊(网络版)》是国家新闻出
版广电总局批准的网络连续型出版物(ISSN 2096-4188,CN 11-6037/Z),所以签约期刊的网络版上网络首
发论文视为正式出版。
Generate a question from the above passage : | 中国学术期刊的网络版是国家新闻出版广电总局批准的什么? |
Generate a question from the above passage : | What is the name of the organization that oversees the care of the dogs? |
I want to test the ability of students to read a passage and answer questions about it. Could you please come up with a good question for the passage "Journal of Frontiers of Computer Science and Technology doi: 10.3778/j.issn."? | What is the last sentence of the passage? |
1673-9418.
Generate a question from the above passage : | What is the ISSN of the journal? |
I want to test the ability of students to read a paragraph and answer questions about it. Could you please come up with a good question for the following paragraph?
2405085
基金项目:国家自然科学基金资助(51407076)。 | What is the last number in the text? |
Generate a question from the above passage : | What is the name of the team that won the 2013 World Series? |
This work was supported by the National Natural Science Foundation of China (51407076).
Generate a question from the above passage : | What was the work supported by? |
I want to test the ability of students to read a passage and answer questions about it. Could you please come up with a good question for the passage "李莉1,2, 时榕良1,3+, 郭旭1, 蒋洪鑫1
1.华北电力大学计算机系,河北保定071003
2."? | Who is the first author? |
河北省能源电力知识计算重点实验室,河北保定071003
3.
Generate a question from the above text: | 河北省能源电力知识计算重点实验室在哪个城市? |
北京中恒博瑞数字电力科技有限公司,北京100085
+ 通信作者E-
From the above passage, a reasonable question with "北京中恒博瑞数字电力科技有限公司" as the answer would be: | What is the name of the company? |
I want to test the ability of students to read a passage and answer questions about it. Could you please come up with a good question for the passage "mail: srl18861237684@163.com
电力系统中不同装置设备的缺陷评级和分析处理常受运维人员主观性影响,导致同一缺陷文本描述
出现不同的严重程度评级。"? | What is the first part of the email? |
专业知识的差异也导致诊断分析差异和诊断效率不同。
Generate a question from the above text: | What is a result of professional knowledge differences? |
为提升缺陷诊断的准确
性和效率,提出一种基于图神经网络的缺陷文本评级分类方法和大模型智能诊断分析助手。
Generate a question from the above passage : | What is the purpose of the new method? |
首先构建专业
词典,使用自然语言处理算法规范化文本描述。
Generate a question from the above text: | What does the algorithm do? |
其次通过统计方法,优化缺陷文本的语义表示。
Generate a question from the above text: | How does this method optimize the semantic representation of the defect text? |
然后集成
图注意力神经网络和RoBERTa 模型对缺陷文本进行精确评级分类。
Generate a question from the above passage : | What is the name of the model that is used to evaluate the text? |
最后基于大语言模型Qwen1.5-14B-
Chat 进行LoRA 微调训练得到电力设备诊断大模型Qwen-ElecDiag,结合检索增强生成技术开发设备缺陷
诊断助手。
Generate a question from the above passage : | What is the name of the model that was developed by combining search enhancement generation technology with the Qwen-ElecDiag model? |
此外,整理提供微调电力设备诊断大模型的指令数据集。
Generate a question from the above passage : | What is provided for micro-tuning power device diagnosis? |
I want to test the ability of students to read a passage and answer questions about it. Could you please come up with a good question for the passage "对比实验结果表明,提出的基于图神
经网络的缺陷评级分类方法在准确性上较最优基准模型BERT 提升近8%;诊断助手的电力知识以及缺陷诊
断能力得到提升。"? | What did the experiment compare? |
通过提高缺陷评级的准确率并提供全面专业化诊断建议,不仅提高电力设备运维的智能
化水平,也为其他垂直领域的智能运维提供新的解决方案。
Generate a question from the above passage : | How does the system improve the smartness of the power system? |
Generate a question from the above passage : | How many people died in the collapse? |
Write a multi-choice question for the following article, with the given choices and answer:
Article: 电力系统;缺陷诊断;图神经网络;大语言模型;LoRA 微调;检索增强生成;智能运维
A
TP391
DiagnosisofPowerSystemDefectsbyLargeLanguageModelsandGraphNeuralNetworks
LI Li 1,2, SHI Rongliang1,3+, GUO Xu 1, JIANG Hongxin1
1. Department of Computer, North China Electric Power University, Baoding, Hebei 071003, China
2.
Options:
A 1
B 2
C 3
D 4
Answer:
B 2
Question: | The number of authors of the paper is _ . |
I want to test the ability of students to read a paragraph and answer questions about it. Could you please come up with a good question for the following paragraph?
Hebei Key Laboratory of Knowledge Computing for Energy & Power, Baoding, Hebei 071003, China;
3. Beijing Join Bright Digital Power Technology Co. | What is the second place mentioned? |
Write a multi-choice question for the following article, with the given choices and answer:
Article: , Ltd, Beijing 100085, China
Abstract:Defect ratings and analysis and processing of different devices and equipment in the power system are
often affected by the subjectivity of operation and maintenance personnel, resulting in different severity ratings for
the same defect text description.
Options:
A The defect ratings are different.
B The severity ratings are different.
C The text descriptions are different.
D The defect ratings and the severity ratings are different.
Answer:
D The defect ratings and the severity ratings are different.
Question: | What is the main idea of this passage? |
Differences in expertise also lead to differences in diagnostic analysis and different
diagnostic efficiency.
Generate a question from the above passage : | What can differences in expertise lead to? |
I want to test the ability of students to read a passage and answer questions about it. Could you please come up with a good question for the passage "In order to improve the accuracy and efficiency of defect diagnosis,A defect text rating classi-
fication method based on graph neural network and a large model intelligent diagnosis and analysis assistant are
proposed."? | What is the first step in the method? |
Firstly, a professional dictionary is constructed to normalize the text description using natural language
processing algorithms.
Generate a question from the above passage : | What is used to normalize the text description? |
Secondly optimize the semantic representation of defective text by statistical methods.
Generate a question from the above passage : | What kind of methods are used to optimize the semantic representation of defective text? |
Then
integrate graph attention neural network and RoBERTamodel to accurately rate and classify defective text.
Generate a question from the above passage : | What is the purpose of integrating graph attention neural network and RoBERTamodel? |
Finally,
LoRA fine-tuning training based on the large language model Qwen1. 5-14B-Chat is performed to obtain the large
model Qwen-ElecDiag for power equipment diagnosis, which is combined with retrieval enhancement to generate
网络首发时间:2024-07-29 16:25
From the above passage, a reasonable question with "large language model Qwen1. 5-14B-Chat" as the answer would be: | What model is used to generate the large model Qwen-ElecDiag? |
:38
网络首发地址:https://link.cnki.net/urlid/11.
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5602.TP.
Generate a question from the above passage : | What is the current version of the TCP/IP protocol suite? |
20240729.
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1054.
Generate a question from the above text: | What is the value of the 1st digit? |
004
2
Journal of Frontiers of Computer Science and Technology
the assistant for defect diagnosis of technology development equipment. In addition, the collation provides the in-
struction dataset for fine-tuning the power equipment diagnosis macromodel.
Generate a question from the above passage : | What is the purpose of the collation? |
Comparative experimental results
show that the proposed graph neural network-
Generate a question from the above passage : | What kind of results are presented? |
based defect rating classification method improves nearly 8% in accu-
racy over the optimal baseline model BERT; the diagnostic assistant's power knowledge as well as defect diagnostic
capability is improved.
Generate a question from the above passage : | What is improved by the based defect rating classification method? |
I want to test the ability of a student to read a passage and answer questions about it. Could you please come up with a good question for the passage "By improving the accuracy of defect ratings and providing comprehensive specialized diag-
nostic suggestions, it not only improves the intelligent level of power equipment O&M, but also provides new solu-
tions for intelligent O&M in other vertical fields."? | What does the O&M stand for? |
Key words:power system; defect records; graph neural networks;large language model;LoRAfine-tuning;
retrieval-augmented generation; intelligent operation and maintenance
国网公司目前的战略目标为构建新型电力系统,
其核心是通过建设数智化坚强电网,强调在电网物理
结构和信息技术方面进行深度融合和创新应用[1]。
Generate a question from the above passage : | What is the core of the strategy? |
在
这一背景下,电力系统设备的高效智能诊断对保障电
网的安全运行具有重大意义[2]。
Generate a question from the above passage : | What is the significance of the high efficiency intelligent diagnosis of the electric power system? |
然而,不同于社交互
联网和生物医药等数据源多样和应用场景明确的领域,
电力行业这类专业领域文本在进行数据挖掘任务中更
容易出现模糊性和歧义性[3]。
Generate a question from the above passage : | What type of industry has more ambiguity and vagueness than other fields? |
Write a multi-choice question for the following article, with the given choices and answer:
Article: 即使国网公司在缺陷管
理办法中对电力设备装置缺陷严重程度进行了通用归
类,其中包括一般、严重以及危急缺陷,但是实际上
因不同填报人的专业理解而出现的不同缺陷评级和不
同的缺陷处理方案。
Options:
A 缺陷管理办法中对缺陷的严重程度进行了通用归类
B 缺陷管理办法中对缺陷的严重程度进行了专业归类
C 缺陷管理办法中对缺陷的严重程度进行了不同归类
D 缺陷管理办法中对缺陷的严重程度进行了特殊归类
Answer:
A 缺陷管理办法中对缺陷的严重程度进行了通用归类
Question: | 国网公司在缺陷管理办法中对缺陷的严重程度进行了 _ 。 |
因此,一方面,亟需利用深度学
习模型进行缺陷描述信息挖掘,减少缺陷描述的歧义
性和模糊性,训练对设备缺陷描述文本进行统一缺陷
严重程度评级的分类模型;另一方面需要更精准全面
并保证专业正确的缺陷原因分析和处理决策生成方法。
Generate a question from the above passage : | What is needed to reduce the ambiguity of the defect descriptions? |
在文本挖掘方向,图神经网络
(GraphNeuralNetworks,GNN)因其处理文本内容等
非欧几里得数据集的能力而备受关注。
Generate a question from the above text: | What is GraphNeuralNetworks? |
GNN 利用图
结构来表示词汇、短语或句子之间的语义联系,从而
在非欧几里得空间中进行有效的信息传递和特征学习。
Generate a question from the above passage : | What is the name of the method that GNN uses to represent the semantic relationships between words, phrases, or sentences? |
From the above passage, a reasonable question with "In the kitchen" as the answer would be: | Where did the mother take the child? |
文献[4]提出一种新颖的GNN 文本分类方法,利用
PMI 和TF-
Generate a question from the above passage : | What is the new method for text classification? |
I want to test the ability of students to read a passage and answer questions about it. Could you please come up with a good question for the passage "IDF 算法构建异质图用于文本分类,自动
学习具有预测能力的词和文档嵌入。"? | What is the IDF algorithm used for? |
文献[5]使用图来
建模整个语料库中不同样本之间的关系,以利用标记
和未标记文档之间的相似性,使用BERT 的初始化文
档嵌入作为GNN 输入来学习文本的关系。
Generate a question from the above passage : | What was used to build the model? |
结合图表
征方法不仅增强模型对文本内容的理解,并显著提升
文本分类的准确性。
Generate a question from the above passage : | What does using a chart do? |
专业名词更丰富的电力领域可更
好地利用图神经网络的图表征能力。
Generate a question from the above passage : | What does a professional field have more of? |
Generate a question from the above passage : | Who is the CEO of Facebook? |
知识图谱是一种具有图结构特性的结构化语义知
识库,通过图形式存储信息实体及关系,在信息密集
型工作中表现出色[6]。
Generate a question from the above passage : | What type of information is stored in a knowledge graph? |
文献[7]利用BiLSTM 与条件随
机场(Conditional Random Field,CRF)的文本信息抽
取模型,构建缺陷知识图谱,通过结构化知识来提高
缺陷文本诊断准确率并提供智能辅助决策。
Generate a question from the above passage : | What model was used to create the knowledge graph? |
然而构建
和维护知识图谱需要大量资源与专业知识且更新与扩
展难度会随着知识量的增加而增加。
Generate a question from the above passage : | What is a disadvantage of knowledge graphs? |
文献[8]利用微
调大语言模型(Large language model,LLM)抽取结构
化知识,与知识图谱匹配进行专业验证,实现大模型
和知识图谱的深度结合。
Generate a question from the above passage : | What is LLM? |
然而增加新的专业知识时,
需要重新进行大模型微调,耗费成本较大。
Generate a question from the above text: | What is the cost of adding new knowledge to the model? |
Generate a question from the above passage : | What is the name of the head of the CIA? |
目前LLM 在自然语言理解和生成方面表现出色。
Generate a question from the above passage : | What is LLM good at? |
然而,由于LLM 的参数量巨大,进行全参数微调需
要极高的算力资源开销。
为减少大模型训练开销同时保证LLM 的自然语
言理解能力,低秩适配(Low-RankAdaptation,LoRA)
微调技术和检索增强生成(Retrieval-augmented gen-
eration,RAG)技术为目前NLP 领域研究热点[9]。
From the above passage, a reasonable question with "Low-RankAdaptation" as the answer would be: | What is the full name for the abbreviation LoRA? |
I want to test the ability of students to read a passage and answer questions about it. Could you please come up with a good question for the passage "LoRA 通过在预训练模型的参数矩阵上添加低秩分解
矩阵来近似每层的参数更新,从而减少适配下游任务
训练参数;RAG 通过结合信息检索和文本生成技术,
引入外部知识来源增强语言模型的回答能力[10]。"? | What is the first word in the passage? |
Generate a question from the above passage : | What does the narrator say about the man who is in the car with him? |
目前垂直领域大模型大量推出,如医疗行业的
“商量·大医”和金融领域的“轩辕”都在各自垂直
领域表现出更高的泛用性和专业性[11]。
Generate a question from the above passage : | What is the name of the vertical model for the financial industry? |
虽然大模型展
现出多种专业优势,但训练成本极大。
Generate a question from the above text: | What is a downside to using big models? |
通过结合
LoRA 微调技术和RAG 技术可以实现避免训练大模
型的大量成本的同时,保证知识来源的时效性,减少
LLM 产生的幻觉信息,生成精准专业的诊断回答。
实现巡检辅助决策和有效的缺陷诊断溯因。
Generate a question from the above text: | What is one of the benefits of combining LoRA with RAG? |
Generate a question from the above passage : | What is the name of the book that the story is about? |
本文的主要贡献如下:
1) 数据预处理时,结合自然语言处理算法的改进
数据规范化方法对数据进行规范化。
Generate a question from the above text: | What is the first contribution of the text? |
采用隐马尔可夫
模型对文本进行初步分词、去停用词;根据管理规定、
文献资料整理专业词典对数据进一步清洗。
Generate a question from the above passage : | What does the model do to the text? |
Generate a question from the above passage : | What did the Spartans do to the Helots? |
3
Journal of Frontiers of Computer Science and Technology
2) 将图神经网络结果应用于电力文本分类。
From the above passage, a reasonable question with "电力文本分类" as the answer would be: | What is the second application of the results of the graph neural network? |
将文
本分布式表示作为图邻接矩阵,集成RoBERTa(Ro-
bustly optimized BERT approach)和图注意力神经网络
(Graph Attention Network,GAT),训练装置缺陷文
本分类模型,调整权衡系数进行对比得到最优性能模
型,实现缺陷严重程度评级结果的统一性和精准性。
Generate a question from the above passage : | What is the acronym for Graph Attention Network? |
3) 构建中文电力诊断指令微调数据集。
Generate a question from the above passage : | What did they build? |
对
Qwen1.5-14B-
Generate a question from the above text. | What is the answer for the question "What is the answer for the question "What is the answer for the question "What is the answer for the question "What is the answer for the question "What is the answer for the question "What is the answer for the question "What is the answer for the question "What is the answer for the question "What is the answer for the question "What is the answer for the question "What is the answer for the question "What is the answer for the question "What is the answer for the question "What is the answer for the question "What is the answer for the question "What is the answer for the question "What is the answer for the question "What is the answer for the question "What is the answer for the question "What is the answer for the question "What is the answer for the question "What is the answer for the question "What is the answer for the question "What is the answer for the question "What is the answer for the question "What is the answer for the question "What is the answer for the question "What is the answer for the question "What is the answer for the question " |
Chat 大语言模型进行LoRA 微调,在
LangChain 框架下利用RAG 技术开发诊断分析与处理
建议助手。
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根据缺陷描述,针对缺陷诊断设计Prompt
提示文档,通过文本理解组件和知识库抽取组件结合
LLM 生成缺陷原因分析并提供处理建议。
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1 数据规范化处理
电力设备缺陷文本包含大量专业术语,缺陷文本
通常包含设备型号、缺陷现象和缺陷发生位置等信息。
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描述文本普遍存在数据混合和结构不固定等模糊描述。
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Generate a question from the above passage : | What is the name of the main character in the movie? |
通过文本预处理能够减少噪声数据、规范化数据、增
强文本关键特征从而使得模型能够更准确地理解和处
理中文文本,提高模型性能和预测准确性。
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Generate a question from the above passage : | What was the name of the person who was shot by the police? |
1.1 正则化处理与停用词表构建
正则化在数据处理中起到平衡模型复杂度与预测
准确性的作用,使得模型在面对不完美数据时仍能保
持稳定和可靠的性能。
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由于“缺陷处理情况”为人工
整理汇报,所以在中文分词和去停用词操作前需要对
缺陷文本进行正则化处理。
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From the above passage, a reasonable question with "the first day of school" as the answer would be: | What is the first day of school? |
针对本文的缺陷文本描述数据中常包括日期、厂
站名、标点符号、一次设备名和人名等对缺陷分类诊
断无关的信息,这些噪声数据会对训练模型分类结果
造成过拟合的影响。
From the above passage, a reasonable question with "噪声数据" as the answer would be: | 什么会对训练模型分类结果造成过拟合的影响? |
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