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Longwall face roof disaster prediction algorithm based on data model driving

International Journal of Coal Science & Technology 2022年第1期9卷 151-166页

作者： Yihui Pang Hongbo Wang Jinfu Lou Hailong Chai Coal Mining Research Institute Co. Ltd of CCTEGBeijing 100013China Coal Mining and Designing Department Tiandi Science&Technology Co.LtdBeijing 100013China Coal Mining Branch China Coal Research InstituteBeijing 100013China School of Energy and Mining Engineering China University of Mining and Technology-BeijingBeijing 100083China

Hydraulic support is the primary equipment used for surrounding rock control at fully mechanized mining *** load,location,and attitude of the hydraulic support are important sets of basis data to predict roof *** paper summarized and analyzed the status of coal mine safety accidents and the primary influencing factors of roof *** work also proposed monitoring characteristic parameters of roof disasters based on support posture-load changes,such as the support location and support *** data feature decomposition method of the additive model was used with the monitoring load data of the hydraulic support in the Yanghuopan coal mine to effectively extract the trend,cycle period,and residuals,which provided the period weighting characteristics of the longwall *** autoregressive,long-short term memory,and support vector regression algorithms were used to model and analyze the monitoring data to realize single-point *** seasonal autoregressive integrated moving average(SARIMA)and autoregressive integrated moving average(ARIMA)models were adopted to predict the support cycle load of the hydraulic *** SARIMA model is shown to be better than the ARIMA model for load predictions in one support cycle,but the prediction effect of these two algorithms over a fracture cycle is ***,we proposed a hydraulic support load prediction method based on multiple data cutting and a hydraulic support load template *** constructed technical framework of the roof disaster intelligent prediction platform is based on this method to perform predictions and early warnings of roof disasters based on the load and posture monitoring information from the hydraulic support.

关键词： data model Roof disaster Hydraulic support Characteristic parameter Intelligent prediction

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Product data model for Performance-driven Design

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Chinese Journal of Mechanical Engineering 2017年第5期30卷 1112-1122页

作者： Guang-Zhong Hu Xin-Jian Xu Shou-Ne Xiao Guang-Wu Yang Fan Pu School of Mechanical Engineering Sichuan University of Science and Engineering State Key Laboratory of Traction Power Southwest Jiaotong University

When designing large-sized complex machinery products, the design focus is always on the overall per- formance; however, there exist no design theory and method based on performance driven. In view of the defi- ciency of the existing design theory, according to the performance features of complex mechanical products, the performance indices are introduced into the traditional design theory of ＂Requirement-Function-Structure＂ to construct a new five-domain design theory of ＂Client Requirement-Function-Performance-Structure-Design Parameter＂. To support design practice based on this new theory, a product data model is established by using per- formance indices and the mapping relationship between them and the other four domains. When the product data model is applied to high-speed train design and combining the existing research result and relevant standards, the corresponding data model and its structure involving five domains of high-speed trains are established, which can provide technical support for studying the relationships between typical performance indices and design parame- ters and the fast achievement of a high-speed train scheme design. The five domains provide a reference for the design specification and evaluation criteria of high speed train and a new idea for the train＇s parameter design.

关键词： Complex product design Performance driven data model Mapping relationship High-speed train

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An HSR data model for Cyborg Insect Research Experiments

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Chinese Journal of Electronics 2018年第4期27卷 680-686页

作者： HONG Hui WANG Xiaoyu ZHU Zhengfei MA Qian GUAN Nan ZHENG Nenggan Key Laboratory of Radio Frequency Circuit and System Hangzhou Dianzi University Qiushi Academy for Advanced Studies Zhejiang University College of Computer Science and Technology Zhejiang University Department of Computing Hong Kong Polytechnic University

Research on cyborg intelligent insects requires the experiment platform to collect data from the distributed sensing models and process the multi-modal signals in real-time. To overcome these issues, we present a novel data model, naming as the Hybrid-synchronizedrealtime(HSR) data model, which can synchronize the hybrid raw data channels by a meta data integration method and process them with a fixed priority scheduling algorithm. Real animal experiments show that the insect-machine experiment platform based on the HSR data model can fully satisfy the requirements of cyborg intelligent insect research, especially in dealing with the technical challenges of data synchronization, real-time processing and hybrid data integration. It provides an efficient approach to implement the experiment platform and thus aid the frontier research on cyborg insects.

关键词： Cyborg intelligent insects data model Hybrid-synchronized-realtime(HSR)

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Application of the Conceptualization Groundwater data model to Study the Upper Arkansas River Corridor,Western Kansas

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Journal of Earth Science 2012年第1期23卷 77-87页

作者：杨晓英 Department of Environmental Science and Engineering Fudan UniversityShanghai 200433China

Large-scale water pumping has caused significant decline in groundwater level in the Upper Arkansas corridor region, which in turn has triggered a chain of hydrological and ecological impacts. A newly developed conceptualization groundwater data model was used to organize various datasets on the Upper Arkansas corridor groundwater system and to develop a MODFLOW model to simulate groundwater flow in the region from 1959 to 2005. The simulation results have shown a sig- nificant decline in groundwater level and the conversion of Arkansas River from a gaining river to a losing river in the western two-thirds of the study area. Correlation analysis between percentage of salt cedar and the hydrogeological conditions indicates that these hydrogeological changes at least partially account for invasion of salt cedar that is more drought tolerant. The analysis also illustrates the com- plexity of the interaction mechanisms between hydrological conditions and salt cedar distribution, and suggests the need for better data on salt cedar distribution with higher spatial resolution and across larger hydrological gradients.

关键词： groundwater/surface-water relation invasive species High Plains data model geo- graphic information system.

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data model Transformation in CAD System for Multi View modeling

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Wuhan University Journal of Natural Sciences 2001年第Z1期6卷 410-415页

作者： Toyohiko Hirota, Masaaki Hashimoto Kyushu Institute of Technology, 680 4 Kawazu, Iizuka, Fukuoka 820 8502, Japan Kyushu Institute of Technology Iizuka Fukuoka Japan

This paper describes multi view modeling and data model transformation for the modeling. We have proposed a reference model of CAD system generation, which can be applied to various domain specific languages. However, the current CAD system generation cannot integrate data of multiple domains. Generally each domain has its own view of products. For example, in the domain of architectural structure, designers extract the necessary data from the data in architecture design. Domain experts translate one view into another view beyond domains using their own *** multi view modeling is a way to integrate product data of multiple domains, and make it possible to translate views among various domains by computers.

关键词： CAD data model program generation object\|oriented database

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A tetrahedral data model for unstructured data management

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Science China(Information Sciences) 2010年第8期53卷 1497-1510页

作者： LI Wei & LANG Bo State Key Laboratory of Software Development Environment, Beihang University, Beijing 100191, China State Key Laboratory of Software Development Environment Beihang University Beijing China

This paper proposes a tetrahedral data model for unstructured data management. The model defines the four components of unstructured data including: basic attributes, semantic characteristics, low-level features and raw data on its four facets, and the relations between these components. The internal implementation structure of the model and the data query language are designed and briefly introduced. This model provides a unified, integrated and associated description for different kinds of unstructured data, and supports intelligent data services such as associated retrieval and data mining. An example is given to demonstrate how to use the model for describing and manipulating data from a sample video base.

关键词： unstructured data data model query language associated retrieval intelligent services

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A data model of EHR Storage Based on HL7 RIM

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Journal of Electronic Science and Technology 2012年第4期10卷 334-341页

作者： Ke Li Jin Xu Jiang-Xiong Li Guo-Sheng Huang Ming Zhou Cong-Cong Qiao Hai-Sheng Wang School of Life Science and Technology University of Electronic Science and Technology of China Information Center of Health Statistics of Dongguan

Effective storage of healthcare information is the foundation of the rapid development of electronic health recorder （EHR）. This paper presents a research on the data model of EHR storage, focusing on solving the complex and abstract information model and data types in HL7 V3（Health Level 7 Version 3.0） as well as HL7 localizing storage. Using health-care information exchange and sharing standards may settle the problem of interoperability between heterogeneous systems. HL7 is the most widely accepted and used standard. HL7 standardizes the information format in the process of transmission. Nevertheless, it can not guide the storage of health-care data directly. HL7 V3 developed an abstract information model-reference information model （RIM） and data types in it are complex. In this paper, we propose an approach on converting from the abstract HL7 V3 information model to the relational data model. Our approach resolves RIM＇s complex relationships and its data types and localizes the HL7 V3.

关键词： data model electronic health recorder,HL7 RIM relationship database storage.

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L-Tree Match： A New data Extraction model and Algorithm for Huge Text Stream with Noises

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Journal of Computer Science & Technology 2005年第6期20卷 763-773页

作者：邓绪斌朱扬勇 Department of Computing and Information Technology Fudan University Shanghai 200433 P.R. China Shanghai Center for Bioinformation Technology Shanghai 201203 P.R. China

In this paper, a new method, named as L-tree match, is presented for extracting data from complex data sources. Firstly, based on data extraction logic presented in this work, a new data extraction model is constructed in which model components are structurally correlated via a generalized template. Secondly, a database-populating mechanism is built, along with some object-manipulating operations needed for flexible database design, to support data extraction from huge text stream. Thirdly, top-down and bottom-up strategies are combined to design a new extraction algorithm that can extract data from data sources with optional, unordered, nested, and/or noisy components. Lastly, this method is applied to extract accurate data from biological documents amounting to 100GB for the first online integrated biological data warehouse of China.

关键词： data extraction data model extraction algorithm regular expression wrapper

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Discovery of Static Test Configuration model and data model Based on TTCN-3 Test Systems

Discovery of Static Test Configuration Model and Data Model ...

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2013年中国智能自动化学术会议

作者： Yongpo Liu Shuangmei Liu Ji Wu Chuangye Chang School of Computer Science and Engineering Beihang University

Aimed at the comprehensibility,reusability and maintainability,the thesis presents the reverse model recovery for the legacy code developed by *** can also help tester and maintainers to verify the test implement,etc. The thesis introduces the discovery of static test configuration model and data model based on the reverse model discovery system framework.

关键词： TTCN-3 Reverse engineering Test system Static test configuration model data model

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Extracting Local Schema from Semistructured data Based on Graph-Oriented Semantic model

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Journal of Computer Science & Technology 2001年第6期16卷 560-566页

作者：王腾蛟唐世渭杨冬青刘云峰林斌 Department of Computer Science and Technology Peking University Beijing P.R. China National Laboratory on Machine Perception Peking University Beijing P.R. China

Many modern applications (e-commerce, digital library, etc.) require inte- grated access to various information sources (from traditional RDBMS to semistructured Web repositories). Extracting schema from semistructured data is a prerequisite to integrate hetero- geneous information sources. The traditional method that extracts global schema may require time (and space) to increase exponentially with the number of objects and edges in the source. A new method is presented in this paper, which is about extracting local schema. In this method, the algorithm controls the scale of extracting schema within the 'schema diameter' by examining the semantic distance of the target set and using the Hash class and its path distance operation. This method is very efficient for restraining schema from expanding. The prototype validates the new approach.

关键词： information integration data model semistructured data extracting schema

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