2011 9th IEEE International Conference on Industrial Informatics最新文献_第4页

Shale-gas ontology, a robust data modeling methodology for integrating and connecting fractured reservoir petroleum ecosystems that affect production complexities 页岩气本体是一种强大的数据建模方法，用于整合和连接影响生产复杂性的裂缝性油藏石油生态系统

2011 9th IEEE International Conference on Industrial Informatics Pub Date : 2011-07-26 DOI: 10.1109/INDIN.2011.6034976

S. Nimmagadda, H. Dreher

{"title":"Shale-gas ontology, a robust data modeling methodology for integrating and connecting fractured reservoir petroleum ecosystems that affect production complexities","authors":"S. Nimmagadda, H. Dreher","doi":"10.1109/INDIN.2011.6034976","DOIUrl":"https://doi.org/10.1109/INDIN.2011.6034976","url":null,"abstract":"Authors propose robust data warehousing and mining approach supported by ontology that can integrate data attributes of associative-fractures of multiple (dimensions) horizons from different types (of different geological and production regimes) of wells and fields, periodically (longitudinal dimension) and geographically (distantly, lateral dimension) located within a producing basin and or extended to multiple basins. Authors attempt to make connectivity among structure, reservoir and production data dimensions and their attributes through their common data instances. In other words, integration is done by mapping and modelling of conceptually (more logically) interpreted relationships among multidimensional inter-dependent data instances of structures (including reservoirs) and attributes through their similar data property instances (and or dissimilar) that are described from different fracture systems. As an example, data mining procedures, if can forecast and separate out the rock stress data patterns of shale-prone environments, so that driller or well planner can identify or plan in advance the types of fracture systems that are being drilled. The proposed methodology is robust and can resolve issues relevant to deviation and smart drilling in the fractured reservoir systems. Ontology based multidimensional data warehousing and mining can integrate and make connectivity among varying common and conceptualized relationships, associated with structure, reservoir and production data that describe their complexity in shale-gas environments. If the proposed methodology is successful, it can be applied in any basin not only for conventional reservoir ecosystems, but fractured including tight-gas and gas-hydrate systems worldwide.","PeriodicalId":378407,"journal":{"name":"2011 9th IEEE International Conference on Industrial Informatics","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129502518","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: 3

Anomaly detection for high precision foundries 高精度铸造厂异常检测

2011 9th IEEE International Conference on Industrial Informatics Pub Date : 2011-07-26 DOI: 10.1109/INDIN.2011.6034857

J. Nieves, I. Santos, Xabier Ugarte-Pedrero, P. G. Bringas

引用次数: 5

Observer based verification of IEC 61499 function blocks 基于观察者的IEC 61499功能块验证

2011 9th IEEE International Conference on Industrial Informatics Pub Date : 2011-07-26 DOI: 10.1109/INDIN.2011.6034948

Z. Bhatti, R. Sinha, P. Roop

引用次数: 18

A real-time rescheduling heuristic using decentralized knowledge-based decisions for flexible flow shops with unrelated parallel machines 基于分散知识决策的柔性流程车间实时重调度启发式算法

2011 9th IEEE International Conference on Industrial Informatics Pub Date : 2011-07-26 DOI: 10.1109/INDIN.2011.6034918

Yi Tan, Mark Aufenanger

{"title":"A real-time rescheduling heuristic using decentralized knowledge-based decisions for flexible flow shops with unrelated parallel machines","authors":"Yi Tan, Mark Aufenanger","doi":"10.1109/INDIN.2011.6034918","DOIUrl":"https://doi.org/10.1109/INDIN.2011.6034918","url":null,"abstract":"In a manufacturing planning and control system, a change of system environment or of the production requirements may invalidate the current production schedule. In that case, rescheduling as a self-adaption function of the system is necessary for generating a new schedule, regarding the current state of the production system. This rescheduling process is time critical and normally requires real time solutions. In this paper we present a rescheduling approach with offline self-learning and online self-decision-making abilities. It solves the rescheduling problem of flexible flow shops (FFS) with unrelated parallel machines. The optimality criterion is the makespan. The approach uses a centralized heuristic to guarantee the generation of active schedules. In addition, it integrates a decentralized knowledge-based decision making system in the heuristic. This decision making system can learn from previous scheduling problems and their schedules. Consequently, it uses the obtained knowledge to dynamically select the most appropriate dispatching rule for scheduling the production, depending on the current system state. Computational results show that the proposed approach is superior to only using one single dispatching rule constantly. Furthermore, due to its efficient runtime the approach is suitable for real time applications.","PeriodicalId":378407,"journal":{"name":"2011 9th IEEE International Conference on Industrial Informatics","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125491717","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

Mobile technology to support maintenance efficiency — Mobile maintenance in heavy industry 移动技术支持维修效率——重工业的移动维修

2011 9th IEEE International Conference on Industrial Informatics Pub Date : 2011-07-26 DOI: 10.1109/INDIN.2011.6034897

J. Backman, H. Helaakoski

{"title":"Mobile technology to support maintenance efficiency — Mobile maintenance in heavy industry","authors":"J. Backman, H. Helaakoski","doi":"10.1109/INDIN.2011.6034897","DOIUrl":"https://doi.org/10.1109/INDIN.2011.6034897","url":null,"abstract":"Mobile technologies are now mature enough to face the challenge and requirements of professional use in industry. The exploitation of mobile technologies will keep on expanding, but in heavy industry and maintenance the use of mobile solutions has not yet become popular although the interest towards mobile solutions has risen. This paper presents the mobile maintenance case study where the roles of mobile technology in strengthening the maintenance operations were researched. The aim of the research was to identify benefits of mobile technology in maintenance, to research the development process of professional mobile solutions and to evaluate the potential of new technologies in developing more value added mobile solutions in industrial environment. Research applied Solution Envisioning Approach with Capability Cases in addition to technology adoption perspective. This paper presents the results of the case study relating to industry requirements, driving forces, targets, challenges and problems. In addition to this factors affecting to acceptance and adoption of industrial mobile solutions are discussed. The mobile maintenance case study produced several Capability Cases that support more efficient maintenance by exploiting mobile technologies.","PeriodicalId":378407,"journal":{"name":"2011 9th IEEE International Conference on Industrial Informatics","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124367768","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: 11

Embedded vision system for robotics and industrial automation 机器人和工业自动化的嵌入式视觉系统

2011 9th IEEE International Conference on Industrial Informatics Pub Date : 2011-07-26 DOI: 10.1109/INDIN.2011.6035012

R. Gerndt, S. Michalik, S. Krupop

引用次数: 8

Challenges in industrial adoption of model-driven technologies in process control application design 工业采用模型驱动技术在过程控制应用程序设计中的挑战

2011 9th IEEE International Conference on Industrial Informatics Pub Date : 2011-07-26 DOI: 10.1109/INDIN.2011.6034941

J. Peltola, S. Sierla, Timo Vepsalainen, K. Koskinen

引用次数: 12

Adoption of model-driven methodology to aggregations design in Smart Grid 模型驱动方法在智能电网聚合设计中的应用

2011 9th IEEE International Conference on Industrial Informatics Pub Date : 2011-07-26 DOI: 10.1109/INDIN.2011.6034936

I. Kaitovic, S. Lukovic

引用次数: 15

Maintaining image quality when watermarking grayscale comic images for electronic books 对电子图书的灰度漫画图像进行水印时保持图像质量

2011 9th IEEE International Conference on Industrial Informatics Pub Date : 2011-07-26 DOI: 10.1109/INDIN.2011.6034896

Takaaki Yamada, R. Ebisawa, Yoshiyasu Takahashi

引用次数: 1

Bio-inspired coordination and control in self-organizing logistic execution systems 自组织物流执行系统中的仿生协调与控制

2011 9th IEEE International Conference on Industrial Informatics Pub Date : 2011-07-26 DOI: 10.1109/INDIN.2011.6034979

J. Van Belle, P. Valckenaers, Bart Saint Germain, Rudi Bahtiar, D. Cattrysse

引用次数: 7