Multi-stage Monitoring of Abnormal Situation Based on Complex Event Processing

Lü, Tao; Zha, Xinxin; Zhao, Xiaohui

doi:10.1016/j.procs.2016.08.181

Cited by 6 publications

(3 citation statements)

References 19 publications

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“…Complex event processing technology can quickly process large amounts of data from various sources according to the consistency of the data, thereby generating accurate results to guide the production process [7]. In order to monitor an abnormal situation in the workplace, Lu et al [9] used complex event-processing technology to correlate context information, accurately extracted data to monitor abnormal situations, and then established an abnormal complex event model. Li Zhe et al [10] combined the complex event model and RFID technology to realize the comprehensive monitoring of a production line via monitoring the abnormal data in the production process in real time.…”

Section: Introductionmentioning

confidence: 99%

Scheduling Optimization of Printed Circuit Board Micro-Hole Drilling Production Line Based on Complex Events

Zhou,

Hu,

Peng

et al. 2023

Processes

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The interdependence between the scheduling method and the production efficiency of a micro-hole drilling production line for printed circuit boards (PCBs) holds significant importance, necessitating the optimization of such a production line’s scheduling. Consequently, this research paper presents a scheduling optimization approach for the micro-hole drilling production line of a PCB, utilizing complex events as its foundation. Initially, a complex event model was constructed to establish correlations among extensive production line data. Subsequently, the typical complex events associated with the micro-hole drilling production line of a PCB were defined, thereby enabling the all-around monitoring of the operation state of such a production line. Furthermore, this study presents the establishment of a production scheduling model for PCB micro-hole drilling. With the goal of minimizing the maximum completion time, the catastrophe genetic algorithm was used to solve the initial scheduling scheme of the printed circuit board micro-hole drilling production line. The reliability and effectiveness of the catastrophe genetic algorithm in solving the hybrid-driven production scheduling problem of complex events were verified. Dynamic scheduling was performed when three complex events occurred in the production line: emergency order insertion, abnormal equipment operation, and tool failure. The scheduling optimization rate after identifying the emergency insertion event could reach 25.1%. The scheduling optimization rate of the production equipment operation event was related to the specific failure time of the equipment. The scheduling optimization rate after identifying the tool failure event could reach 25%. Rescheduling immediately after identifying the tool failure event could exert no effect on the initial scheduling process. It was proven that the identification and rescheduling of complex events can improve the production efficiency of a PCB micro-hole drilling production line.

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Section: Introductionmentioning

confidence: 99%

Scheduling Optimization of Printed Circuit Board Micro-Hole Drilling Production Line Based on Complex Events

Zhou,

Hu,

Peng

et al. 2023

Processes

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“…The use of data centers in public or private organizations has increased in recent years, mainly after the popularization of Cloud Computing. Monitoring of these environments has become an increasing necessity due to user demand and to a lack of energy supply [1] alongside associated problems of incorrect shutdown procedures [2]. Another problem that affects a data center is the failure of the cooling necessities required by the system, leading to issues controlling temperature and humidity.…”

Section: Introductionmentioning

confidence: 99%

Data Center Environment Monitoring System

Santos

Mataloto

Ferreira

2019

Proceedings of the 2019 4th International Conference on Cloud Computing and Internet of Things

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The Internet of things (IoT) is applied to many cases in the smart cities topic. We apply an IoT-developed platform using LoRa communication to a Data Center to understand temperature behavior within a concentration of servers and the working behavior of these server machines. We describe our work as an IoT platform to measure temperature, humidity, and energy consumption in these data centers. In the end, the gradient temperature was found in the rack, and the increasing temperature is correlated with energy consumption and the backup routines in the night. Our developed approach can be used to understand CPU usage and related temperature and the energy consumption CCS Concepts• Computer systems organization → Real-time systems • Information systems → Data centers

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“…Consequentemente, o monitoramento desses ambientes tornou-se algo essencial, haja vista que a inoperância desses ambientes passou a ser visto como um problema crítico. A inoperância pode ocorrer devido a falha de equipamentos, problemas de configuração, aumento na demanda de usuários ou até mesmo devido a falta de fornecimento de energia elétrica [Lu et al 2016]. Nesseúltimo caso, passa a existir também o risco de prejuízos financeiros devidos a quebra ou desgaste de equipamentos [Chen et al 2014].…”

Section: Introductionunclassified

Gerenciamento Térmico e Elétrico de um Centro de Dados utilizando Sensoriamento IoT

Braga¹,

Maciel²,

Almeida³

et al. 2017

Anais Do Simpósio Brasileiro De Computação Ubíqua E Pervasiva (SBCUP)

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O avanço da Internet das Coisas (IoT) possibilitou uma maior eficiência no monitoramento de ambientes, permitindo um melhor gerenciamento e descoberta das condições onde a aplicação está inserida. Essa característica éútil para monitorar ambientes de Computação de Alto Desempenho (CAD), que precisam de um controle rígido das condições do local. A gerência desses ambientes tornou-se algo essencial com a popularização da Computação em Nuvem, pois a inoperância desses ambientes é problema crítico. Neste trabalho, apresentamos o GREat Data Center (GDC), um sistema IoT de gerenciamento térmico e elétrico de ambientes de CAD. O sistema monitora temperatura, umidade e fornecimento de energia elétrica da sala de um data center.

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Multi-stage Monitoring of Abnormal Situation Based on Complex Event Processing

Cited by 6 publications

References 19 publications

Scheduling Optimization of Printed Circuit Board Micro-Hole Drilling Production Line Based on Complex Events

Scheduling Optimization of Printed Circuit Board Micro-Hole Drilling Production Line Based on Complex Events

Data Center Environment Monitoring System

Gerenciamento Térmico e Elétrico de um Centro de Dados utilizando Sensoriamento IoT

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