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Deployment of Agent Technologies in Industrial Applications 工业应用中Agent技术的部署
IEEE Workshop on Distributed Intelligent Systems: Collective Intelligence and Its Applications (DIS'06) Pub Date : 2006-06-15 DOI: 10.1109/DIS.2006.22
P. Tichý, Vladimir Marik, Pavel Vrba, Filip Macurek, P. Šlechta, R. Staron, F. Maturana, K. Hall
{"title":"Deployment of Agent Technologies in Industrial Applications","authors":"P. Tichý, Vladimir Marik, Pavel Vrba, Filip Macurek, P. Šlechta, R. Staron, F. Maturana, K. Hall","doi":"10.1109/DIS.2006.22","DOIUrl":"https://doi.org/10.1109/DIS.2006.22","url":null,"abstract":"This paper summarizes lessons learned from real-life deployment of multi-agent systems developed by Rockwell Automation in the area of industrial applications. We mainly focus on fault tolerance, scalability, and reconfiguration aspects in both the design and runtime parts of the system life cycle. We also describe the tools that were essential for testing and debugging the entire distributed system","PeriodicalId":318812,"journal":{"name":"IEEE Workshop on Distributed Intelligent Systems: Collective Intelligence and Its Applications (DIS'06)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121219670","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: 6
Heterogeneous Swarm Formation Control Using Bivariate Normal Functions to Generate Potential Fields 利用二元正态函数生成势场的异质群形成控制
IEEE Workshop on Distributed Intelligent Systems: Collective Intelligence and Its Applications (DIS'06) Pub Date : 2006-06-15 DOI: 10.1109/DIS.2006.33
L. Barnes, W. Alvis, M. Fields, K. Valavanis, W. Moreno
{"title":"Heterogeneous Swarm Formation Control Using Bivariate Normal Functions to Generate Potential Fields","authors":"L. Barnes, W. Alvis, M. Fields, K. Valavanis, W. Moreno","doi":"10.1109/DIS.2006.33","DOIUrl":"https://doi.org/10.1109/DIS.2006.33","url":null,"abstract":"A novel method is presented for dynamic heterogeneous swarm formation control with potential fields generated from bivariate normal probability density functions (pdfs) used to construct the surface which swarm members move on, controlling swarm geometry, individual member spacing, and managing obstacle avoidance. Limiting functions are defined to provide tighter swarm control by modifying and adjusting a set of control variables forcing the swarm to behave according to set constraints. Bivariate normal functions and limiting functions are combined to guarantee obstacle avoidance and control swarm member orientation and swarm movement as a whole. This approach compared to others, is simple, computationally efficient, scales well to different swarm sizes, to heterogeneous systems, and to both centralized and decentralized swarm models. The method is applied to a simple vehicle model and simulation results are presented for a heterogeneous swarm of ten robot vehicles following line and ellipse formations","PeriodicalId":318812,"journal":{"name":"IEEE Workshop on Distributed Intelligent Systems: Collective Intelligence and Its Applications (DIS'06)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124719603","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: 34
Modelling Execution Order and Real-time Constraints in IEC 61499 Control Applications 建模执行顺序和实时约束在IEC 61499控制应用
IEEE Workshop on Distributed Intelligent Systems: Collective Intelligence and Its Applications (DIS'06) Pub Date : 2006-06-15 DOI: 10.1109/DIS.2006.51
G. Grabmair, R. Froschauer, T. Strasser, Alois Zoitl
{"title":"Modelling Execution Order and Real-time Constraints in IEC 61499 Control Applications","authors":"G. Grabmair, R. Froschauer, T. Strasser, Alois Zoitl","doi":"10.1109/DIS.2006.51","DOIUrl":"https://doi.org/10.1109/DIS.2006.51","url":null,"abstract":"The complexity of automation and control systems is fast increasing in order to satisfy the arising needs of the manufacturing industry. The central exigencies for new production facilities are flexibility, adaptability and reconfigurability in combination with guarantees for downtime less operation. Additionally modern automation systems are supposed to execute control applications distributed across heterogeneous networks. The standard IEC 61499 introduces a function block oriented architecture which should be able to satisfy most of these new requirements. Still some of the open issues within the standards definition are the consideration of real-time constrained applications, the missing possibilities and conventions to define an explicit execution order and the absence of an appropriate modelling technique for real-time constraint specification. Therefore the main topic of this paper discusses investigations on possibilities to define execution order and real-time constraints in IEC 61499","PeriodicalId":318812,"journal":{"name":"IEEE Workshop on Distributed Intelligent Systems: Collective Intelligence and Its Applications (DIS'06)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125761958","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: 7
Automatic control application recovery in distributed IEC 61499 based automation and control systems 基于IEC 61499的分布式自动化控制系统中的自动控制应用恢复
IEEE Workshop on Distributed Intelligent Systems: Collective Intelligence and Its Applications (DIS'06) Pub Date : 2006-06-15 DOI: 10.1109/DIS.2006.14
Roman Froschauer, F. Auinger, G. Grabmair, Thomas Strasser
{"title":"Automatic control application recovery in distributed IEC 61499 based automation and control systems","authors":"Roman Froschauer, F. Auinger, G. Grabmair, Thomas Strasser","doi":"10.1109/DIS.2006.14","DOIUrl":"https://doi.org/10.1109/DIS.2006.14","url":null,"abstract":"Modern industrial automation systems are supposed to execute applications distributed across heterogeneous networks. Additionally the market has raised a demand for downtime less operation and change of automation and control for such systems. Consequently appropriate concepts for recovering and reconfiguring devices during full operation are needed. The open standard IEC 61499 provides a scalable architecture to model applications for such distributed control systems. It supports interoperability, configurability and portability of control applications and therefore delivers the basis for online-configuration and recovery of heterogeneous systems. The main goal of this paper is to present a concept for autonomous recovery of applications within the context of distributed systems. The proposed concept facilitates the exchange of devices without any need for extra configuration. It supports an automatic recognition of new components in a distributed automation & control system and an automated up & download of control applications, user data and configuration data. The introduced approach is tested using an Ethernet-interconnected distributed demonstration system, consisting of standard personal computers with a running IEC 61499 function block development kit","PeriodicalId":318812,"journal":{"name":"IEEE Workshop on Distributed Intelligent Systems: Collective Intelligence and Its Applications (DIS'06)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126909708","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
LS/ATN: Reporting on a Successful Agent-Based Solution for Transport Logistics Optimization LS/ATN:一个成功的基于代理的运输物流优化解决方案的报告
IEEE Workshop on Distributed Intelligent Systems: Collective Intelligence and Its Applications (DIS'06) Pub Date : 2006-06-15 DOI: 10.1109/DIS.2006.46
N. Neagu, K. Dorer, D. Greenwood, M. Calisti
{"title":"LS/ATN: Reporting on a Successful Agent-Based Solution for Transport Logistics Optimization","authors":"N. Neagu, K. Dorer, D. Greenwood, M. Calisti","doi":"10.1109/DIS.2006.46","DOIUrl":"https://doi.org/10.1109/DIS.2006.46","url":null,"abstract":"A considerable volume of research exists concerning the domain of automatic planning and scheduling, hut many real-world scheduling problems, and especially that of transportation logistics, remain difficult to solve. In particular, this domain demands schedule-solving for every vehicle in a transportation fleet where pick-up and delivery of customer orders is distributed across multiple geographic locations, while satisfying time-window constraints on pickup and delivery per location. This paper presents a successful commercial-grade solution to this problem called living systems adaptive transportation networks (LS/ATN), which has been proven through real-world deployment to reduce transportation costs through the optimization of route solving for both small and large fleets. LS/ATN is a novel agent-based resource management and decision system designed to address this highly dynamic and complex domain in commercial settings. We show how LS/ATN employs agent cooperation algorithms to derive truck schedules that optimize the use of available resources leading to significant cost savings. The solution is designed to support, rather than replace, the day-to-day activities of human dispatchers","PeriodicalId":318812,"journal":{"name":"IEEE Workshop on Distributed Intelligent Systems: Collective Intelligence and Its Applications (DIS'06)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121943013","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: 21
Multi-Agent System Enhanced Supervision of Process Automation 多智能体系统增强过程自动化监控
IEEE Workshop on Distributed Intelligent Systems: Collective Intelligence and Its Applications (DIS'06) Pub Date : 2006-06-15 DOI: 10.1109/DIS.2006.53
T. Pirttioja, A. Halme, A. Pakonen, I. Seilonen, K. Koskinen
{"title":"Multi-Agent System Enhanced Supervision of Process Automation","authors":"T. Pirttioja, A. Halme, A. Pakonen, I. Seilonen, K. Koskinen","doi":"10.1109/DIS.2006.53","DOIUrl":"https://doi.org/10.1109/DIS.2006.53","url":null,"abstract":"This paper studies issues concerning the application of user configurable cooperative information agents for monitoring tasks in process automation. Within this application area the amount of information gathered from the processes has been growing vastly and the supervising personnel has been minimized in the production plants. As this trend seems to keep going further, the end users need more effective information handling tools. However, the information overflow problem has also shown up in other application domains, and it is useful to discuss the similarities and differences with solutions used in these areas. This paper proposes an agent-based architecture to support active monitoring of the changes in process related data situated in various heterogeneous information sources. This approach is based on a BDI agent model, where individual user-configurable information processing modules are flexibly linked. The approach is demonstrated with an industrially inspired test scenario","PeriodicalId":318812,"journal":{"name":"IEEE Workshop on Distributed Intelligent Systems: Collective Intelligence and Its Applications (DIS'06)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126634901","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
Posing Some Design Questions for Crafting Agent Simulat 制造代理模拟的设计问题
IEEE Workshop on Distributed Intelligent Systems: Collective Intelligence and Its Applications (DIS'06) Pub Date : 2006-06-15 DOI: 10.1109/DIS.2006.59
M. Fletcher, P. Vrba
{"title":"Posing Some Design Questions for Crafting Agent Simulat","authors":"M. Fletcher, P. Vrba","doi":"10.1109/DIS.2006.59","DOIUrl":"https://doi.org/10.1109/DIS.2006.59","url":null,"abstract":"Today there is a proliferation of research into systems based on the autonomous agent, multi-agent and holonic paradigms. These systems are being applied to environments including manufacturing, logistics, defense, and supply chain management to increase the flexibility, realism, openness and mass-customization of real-world decentralized operations. It is now well recognized that prior to deploying agents into any physical environment where machines or any form of hardware is controlled by the agents, a key step in verifying the functionality and reliability of the agent-based control system must take place, namely simulation of the agents' actions and their interactions. However, there is very little formal basis or methodological practice for creating a robust simulation of the distributed agent-based control system that would be used in a physical setting. This paper takes an initial step in trying to identify a set of design questions that must be answered by the agent system developer as part of the instantiation of the agents in the simulation","PeriodicalId":318812,"journal":{"name":"IEEE Workshop on Distributed Intelligent Systems: Collective Intelligence and Its Applications (DIS'06)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123811827","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: 0
Genetic Algorithms for Autonomic Route Discovery 自主路径发现的遗传算法
IEEE Workshop on Distributed Intelligent Systems: Collective Intelligence and Its Applications (DIS'06) Pub Date : 2006-06-15 DOI: 10.1109/DIS.2006.32
Erol Gelenbe, Peixiang Liu, Jeremy Lainé, Peng Liu
{"title":"Genetic Algorithms for Autonomic Route Discovery","authors":"Erol Gelenbe, Peixiang Liu, Jeremy Lainé, Peng Liu","doi":"10.1109/DIS.2006.32","DOIUrl":"https://doi.org/10.1109/DIS.2006.32","url":null,"abstract":"This paper describes an experimental investigation of adaptive path discovery using genetic algorithms (GA). We start with the quality of service (QoS) driven routing protocol called \"cognitive packet network\" (CPN) which uses smart packets (SPs) to dynamically select routes in a distributed autonomic manner based on the user's QoS requirements. We extend it by introducing GA at the source routers, which modifies and filters the paths discovered by CPN. The GA can combine paths that were previously discovered to create new untested but valid source-to-destination paths, which are then selected on the basis of their \"fitness\". We implement this approach and the measurements which we have conducted on a network test-bed indicate that when the network's background traffic load is light to medium, the GA can result in improved QoS. When the background traffic load is high, it appears that the use of the GA may be detrimental to the QoS experienced by users as compared to CPN routing, because of the fact that the GA uses less timely state information in its decision making","PeriodicalId":318812,"journal":{"name":"IEEE Workshop on Distributed Intelligent Systems: Collective Intelligence and Its Applications (DIS'06)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129710519","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: 25
Software Agents for Ambient Intelligence based Manufacturing 基于环境智能制造的软件代理
IEEE Workshop on Distributed Intelligent Systems: Collective Intelligence and Its Applications (DIS'06) Pub Date : 2006-06-15 DOI: 10.1109/DIS.2006.67
M. A. Pérez, L. Susperregi, I. Maurtua, A. Ibarguren, B. Sierra
{"title":"Software Agents for Ambient Intelligence based Manufacturing","authors":"M. A. Pérez, L. Susperregi, I. Maurtua, A. Ibarguren, B. Sierra","doi":"10.1109/DIS.2006.67","DOIUrl":"https://doi.org/10.1109/DIS.2006.67","url":null,"abstract":"There are several references to projects linked to the AmI concept in technical publications. These are mostly centered on applications linked to everyday situations concerning individuals: at home, in the street, in the car, in public places and relating to leisure. The AMILAB research group at TEKNIKER is analyzing the technological, human and social needs and implications for AmI in the manufacturing field. For this aim we have set up a laboratory to spread the model of AmI to the area of manufacturing. This paper presents that Lab, the agent based architecture we have implemented as well as the application of machine learning techniques to identify the activities a worker is doing","PeriodicalId":318812,"journal":{"name":"IEEE Workshop on Distributed Intelligent Systems: Collective Intelligence and Its Applications (DIS'06)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130490668","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: 7
Agent-based coalition formation in disaster response applications 灾害响应应用中基于agent的联盟形成
IEEE Workshop on Distributed Intelligent Systems: Collective Intelligence and Its Applications (DIS'06) Pub Date : 2006-06-15 DOI: 10.1109/DIS.2006.8
Ladislau Bölöni, M. Khan, D. Turgut
{"title":"Agent-based coalition formation in disaster response applications","authors":"Ladislau Bölöni, M. Khan, D. Turgut","doi":"10.1109/DIS.2006.8","DOIUrl":"https://doi.org/10.1109/DIS.2006.8","url":null,"abstract":"We present an agent-based coalition formation approach for disaster response applications. We assume that agents are operating in a dynamic and dangerous environment, and they need to form convoys to efficiently traverse unsafe areas and rendezvous at task locations. We assume a dynamic model of multilevel coalition formation where agents can dynamically join and leave the convoy, and the goals of the convoy (as reflected in its physical path and schedule) is determined by its current members. We demonstrate our approach in a simulation study located in the environment of New Orleans in the hurricane Katrina aftermath","PeriodicalId":318812,"journal":{"name":"IEEE Workshop on Distributed Intelligent Systems: Collective Intelligence and Its Applications (DIS'06)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115236043","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: 18
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