2018 IEEE International Conference of Safety Produce Informatization (IICSPI)最新文献_第9页

Power Fault Preplan Text Information Extraction Based on NLP 基于自然语言处理的电力故障预案文本信息提取

2018 IEEE International Conference of Safety Produce Informatization (IICSPI) Pub Date : 2018-12-01 DOI: 10.1109/IICSPI.2018.8690379

Shaohua Sun, Zemei Dai, Xinkui Xi, Xin Shan, Bo Wang

{"title":"Power Fault Preplan Text Information Extraction Based on NLP","authors":"Shaohua Sun, Zemei Dai, Xinkui Xi, Xin Shan, Bo Wang","doi":"10.1109/IICSPI.2018.8690379","DOIUrl":"https://doi.org/10.1109/IICSPI.2018.8690379","url":null,"abstract":"A large amount of texts recorded in Chinese exist in power grid enterprises. These texts contain abundant information of power system. Manually mining the text information is inefficient and the accuracy may vary with different dispatchers. In this paper, the power fault countermeasure text is taken as the object to study the power Chinese text information extraction method. Power texts are segmented firstly based on the nature language process (NLP), the ontology lexicon is established according to the power word attribute in the power fault countermeasure text; Based on the syntax structure characteristics of punctuations and the concept of separate parsing phrase are brought in to guide the division of long texts, which can separate the sentence with only one power entity and its related information; The syntax rule template applicable to the separate parsing phrase is established based on the meta-character templates (generalization slot, fixed word-combination, wildcard character, and registry function) used for the power fault preplan text information extraction and the structured output of that information; At last, the generalization ability and the universality of the template are analyzed. Examples show that the rule template applies to the information extraction of most texts with strong universality and high accuracy.","PeriodicalId":6673,"journal":{"name":"2018 IEEE International Conference of Safety Produce Informatization (IICSPI)","volume":"9 1","pages":"617-621"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74634704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

A New Inspection Method to Diagnose Winding Material and Capacity of Distribution Transformer based on Big Data 基于大数据的配电变压器绕组材料和容量诊断新方法

2018 IEEE International Conference of Safety Produce Informatization (IICSPI) Pub Date : 2018-12-01 DOI: 10.1109/iicspi.2018.8690522

Zhiyao Zheng, Zhi Li, Yibo Gao, Q. Yu

{"title":"A New Inspection Method to Diagnose Winding Material and Capacity of Distribution Transformer based on Big Data","authors":"Zhiyao Zheng, Zhi Li, Yibo Gao, Q. Yu","doi":"10.1109/iicspi.2018.8690522","DOIUrl":"https://doi.org/10.1109/iicspi.2018.8690522","url":null,"abstract":"This paper takes Zhejiang power corporation panoramic quality business chain as background, centering on the problem that distribution equipment is hard to be inspected accurately with routine inspection, proposes a new inspection technology, aiming to diagnose the quality problem of distribution equipment quickly, economically and accurately. This paper accumulates a large number of physical characteristic parameter and test data of more than one thousand distribution transformers from Zhejiang power corporation quality inspection center of distribution equipment, and analyzes the distribution of volume, weight, DC resistance, no-load loss, load loss and short-circuit impedance of distribution transformer in different capacity levels through the statistical method of big data, and finally makes a assessment process to diagnose winding material and capacity of distribution transformer. The specific assessment process is divided into three steps: 1) Determine the relevant core data for different inspection targets(winding material: volume, weight, DC resistance; capacity:no-load loss, load loss and short-circuit impedance); 2) Build associated database of core data and non-core data of distribution transformer; 3) Use the associated database for preliminary judgment, and other method to confirm one by one.","PeriodicalId":6673,"journal":{"name":"2018 IEEE International Conference of Safety Produce Informatization (IICSPI)","volume":"45 1","pages":"346-351"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82117308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Energy Efficiency optimization in OFDM Power Telecommunication Networks OFDM电力电信网的能效优化

2018 IEEE International Conference of Safety Produce Informatization (IICSPI) Pub Date : 2018-12-01 DOI: 10.1109/IICSPI.2018.8690481

Meng Yin, Sihang Zhao, Fanbo Meng, Bin Lu, Z. Qi, Daosheng Li

引用次数: 0

Design and Implementation of Intelligent Wearable Operation Support System for Electric Power Production Environment based on Multi-source Information Fusion Technology 基于多源信息融合技术的电力生产环境智能可穿戴运行保障系统设计与实现

2018 IEEE International Conference of Safety Produce Informatization (IICSPI) Pub Date : 2018-12-01 DOI: 10.1109/IICSPI.2018.8690381

Hongjun Du, Wei Li, Yining Gang, Ou Wang, Yuedong Hao

引用次数: 1

Modeling of Soft Sensor Based on DBN-ELM and Its Application in Measurement of Nutrient Solution Composition for Soilless Culture 基于DBN-ELM的软测量建模及其在无土栽培营养液组成测量中的应用

2018 IEEE International Conference of Safety Produce Informatization (IICSPI) Pub Date : 2018-12-01 DOI: 10.1109/IICSPI.2018.8690373

Xiaogang Wang, Wenjing Hu, Kaishu Li, Lepeng Song, Luqing Song

{"title":"Modeling of Soft Sensor Based on DBN-ELM and Its Application in Measurement of Nutrient Solution Composition for Soilless Culture","authors":"Xiaogang Wang, Wenjing Hu, Kaishu Li, Lepeng Song, Luqing Song","doi":"10.1109/IICSPI.2018.8690373","DOIUrl":"https://doi.org/10.1109/IICSPI.2018.8690373","url":null,"abstract":"At present, the detection of important components of nutrient solution in soilless culture is high cost, difficult and low precision. A soft measurement method of nutrient solution component based on deep belief network and extreme learning machine (DBN-ELM) is proposed. The component concentration in nutrient solution was selected as the dominant variable, and the variables that were easy to be measured and correlated with the ion concentration were the auxiliary variables, including PH value, conductivity, nutrient solution circulation speed and temperature. The deep belief network is used to extract the features of the auxiliary variables, then the extracted features are input into the ultimate learning machine for training, and the soft measurement model is obtained. Finally, the data of soil - free tomato culture nutrient solution was used to verify the experiment. The results show that this method has higher comprehensive measurement accuracy than the method using the extreme learning machine or the least square method, and is of great significance for improving the yield and quality of the soilless cultivated crops.","PeriodicalId":6673,"journal":{"name":"2018 IEEE International Conference of Safety Produce Informatization (IICSPI)","volume":"285 1","pages":"93-97"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76860447","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

A systemic approach to hazard analysis and control based on energy function 基于能量函数的危害分析与控制的系统方法

2018 IEEE International Conference of Safety Produce Informatization (IICSPI) Pub Date : 2018-12-01 DOI: 10.1109/IICSPI.2018.8690482

Hanjun Guo, G. Su, Yan Jia, Guoliang Feng, Rui Zhou, Y. Wang

引用次数: 0

Design and Implementation of Emergency Cooperative Consultation System based on GIS 基于GIS的应急协同咨询系统的设计与实现

2018 IEEE International Conference of Safety Produce Informatization (IICSPI) Pub Date : 2018-12-01 DOI: 10.1109/iicspi.2018.8690470

Y. Ban, Jing Yuan, Hongying Liu, Hongjing Liu, Kun Liu, Rui Wang

引用次数: 0

Research on Multi - feature Web Image Clustering Algorithm 多特征Web图像聚类算法研究

2018 IEEE International Conference of Safety Produce Informatization (IICSPI) Pub Date : 2018-12-01 DOI: 10.1109/IICSPI.2018.8690397

Yehong Han

引用次数: 0

Development and Application of Virtual Collaborative Experiment Technology Based on Unity Platform 基于Unity平台的虚拟协同实验技术的开发与应用

2018 IEEE International Conference of Safety Produce Informatization (IICSPI) Pub Date : 2018-12-01 DOI: 10.1109/IICSPI.2018.8690340

Xia Luyao, Ding Honghai, Lu Jianfeng, Zhang Hao, Ding Honghai, Lu Jianfeng, Zhang Hao

引用次数: 3

A Variation of Quicksort for Model Checking with Promela and SPIN 用Promela和SPIN进行模型检验的快速排序的变化

2018 IEEE International Conference of Safety Produce Informatization (IICSPI) Pub Date : 2018-12-01 DOI: 10.1109/iicspi.2018.8690479

Chu Luo, Xu Ma, Yanshan Tian, Yuehui Zhang, Zewen Xu

引用次数: 0