A Novel Safety Control Hierarchical Architecture for Prevention and Mitigation of Critical Faults in Process Industries based on Defense-in-depth, Reactive Systems and Safety-diagnosability

Squillante, Reinaldo; Filho, Diolino José dos Santos; Silva, Robson Marinho da; Souza, Jeferson A. L. de; Junqueira, Fabrício

doi:10.1016/j.ifacol.2015.06.269

Cited by 7 publications

(4 citation statements)

References 12 publications

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“…This safety control hierarchical architecture is based on safety instrumented systems and the standards IEC61511 and IEC 61508, and it consists of four modules [79], as shown in Figure 11.…”

Section: Safety Control Hierarchical Architecturementioning

confidence: 99%

“…The BPCS, namely the basic process control system, has a basic function, which is to impose the desired dynamic behavior on the process. It is composed of hardware factors, including a programmable logical controller, actuators, and sensors [79].…”

Section: Safety Control Hierarchical Architecturementioning

confidence: 99%

“…This control system guides the process with the control to a safety state by degenerating, controlled based on the reactive systems [79]. This method enjoys the advantage that it can be applied for the integration of the concept of reactivity related to the safety diagnosability and defense in depth, dealing with aspects that are relevant to critical fault description, mitigation, and prevention [79].…”

Section: Safety Control Hierarchical Architecturementioning

confidence: 99%

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Comprehensive Review of Safety Studies in Process Industrial Systems: Concepts, Progress, and Main Research Topics

Zhang

Ren

et al. 2023

Processes

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This paper focuses on reviewing past progress in the advancement of definitions, methods, and models for safety analysis and assessment of process industrial systems and highlighting the main research topics. Based on the analysis of the knowledge with respect to process safety, the review covers the fact that the entire system does not have the ability to produce casualties, health deterioration, and other accidents, which ultimately cause human life threats and health damage. And, according to the comparison between safety and reliability, when a system is in an unreliable state, it must be in an unsafe state. Related works show that the main organizations and regulations are developed and grouped together, and these are also outlined in the literature. The progress and current research topics of the methods and models have been summarized and discussed in the analysis and assessment of safety for process industrial systems, which mainly illustrate that the dynamic operational safety assessment under the big data challenges will become the research direction, which will change the future study situation.

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Section: Safety Control Hierarchical Architecturementioning

confidence: 99%

Section: Safety Control Hierarchical Architecturementioning

confidence: 99%

Section: Safety Control Hierarchical Architecturementioning

confidence: 99%

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Comprehensive Review of Safety Studies in Process Industrial Systems: Concepts, Progress, and Main Research Topics

Zhang

Ren

et al. 2023

Processes

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“…The data application layer can build an intelligent functional application platform for business requirements, and provide solutions for different users after analyzing and processing data, such as using cloud computing, artificial intelligence, large data analysis and other technologies. There are different security problems in the hierarchical structure of IoT network, which we group into five aspects, according to the basic principles of deep security defense: application security, data security, control security, network security and device security [ 32 ].…”

Section: The Topology Design Strategy Of Iiot Network and Evaluatimentioning

confidence: 99%

IoT Hierarchical Topology Strategy and Intelligentize Evaluation System of Diesel Engine in Complexity Environment

Jiangshan

Chen

Yang³

et al. 2018

Sensors

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In complex discrete manufacturing environment, there used to be a poor network and an isolated information island in production line, which led to slow information feedback and low utilization ratio, hindering the construction of enterprise intelligence. To solve these problems, uncertain factors in the production process and demands of sensor network were analyzed; hierarchical topology design method and the deployment strategy of the complexity industrial internet of things were proposed; and a big data analysis model and a system security protection system based on the network were established. The weight of each evaluation index was calculated using analytic hierarchy process, which established the intelligentized evaluation system and model. An actual production scene was also selected to validate the feasibility of the method. A diesel engine production workshop and the enterprise MES were used as an example to establish a network topology. The intelligence level based on both subjective and objective factors were evaluated and analyzed considering both quantitative and qualitative aspects. Analysis results show that the network topology design method and the intelligentize evaluation system were feasible, could improve the intelligence level effectively, and the network framework was expansible.

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Modeling accident scenarios from databases with missing data: A probabilistic approach for safety-related systems design

Squillante

Maruyama

et al. 2018

Safety Science

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A Novel Safety Control Hierarchical Architecture for Prevention and Mitigation of Critical Faults in Process Industries based on Defense-in-depth, Reactive Systems and Safety-diagnosability

Cited by 7 publications

References 12 publications

Comprehensive Review of Safety Studies in Process Industrial Systems: Concepts, Progress, and Main Research Topics

Comprehensive Review of Safety Studies in Process Industrial Systems: Concepts, Progress, and Main Research Topics

IoT Hierarchical Topology Strategy and Intelligentize Evaluation System of Diesel Engine in Complexity Environment

Modeling accident scenarios from databases with missing data: A probabilistic approach for safety-related systems design

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