Cyber-Physical System Demonstration of an Automated Shuttle-Conveyor-Belt Operation for Inventory Control of Multiple Stockpiles: A Proof of Concept
<p dir="ltr">Smart manufacturing in the so-called Industry 4.0 age pushes the research and development of laboratory-scale proof of concepts before its deployment in pilots and real-size equipment. As such, we present a cyber-physical system (CPS) demonstration in the mining industry...
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| مؤلفون آخرون: | , , |
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2022
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إضافة وسم
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| _version_ | 1864513560879562752 |
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| author | Mohammed Yaqot (16904577) |
| author2 | Robert Eduard Franzoi (16904580) Ashhadul Islam (16869981) Brenno C. Menezes (1831792) |
| author2_role | author author author |
| author_facet | Mohammed Yaqot (16904577) Robert Eduard Franzoi (16904580) Ashhadul Islam (16869981) Brenno C. Menezes (1831792) |
| author_role | author |
| dc.creator.none.fl_str_mv | Mohammed Yaqot (16904577) Robert Eduard Franzoi (16904580) Ashhadul Islam (16869981) Brenno C. Menezes (1831792) |
| dc.date.none.fl_str_mv | 2022-12-05T00:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1109/access.2022.3226942 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Cyber-Physical_System_Demonstration_of_an_Automated_Shuttle-Conveyor-Belt_Operation_for_Inventory_Control_of_Multiple_Stockpiles_A_Proof_of_Concept/24056271 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Engineering Manufacturing engineering Resources engineering and extractive metallurgy Information and computing sciences Artificial intelligence Decision making Sensors Real-time systems Cyber-physical systems Solids Mining industry Belts Actuating Control Cyber-physical system (CPS) Modeling Optimization Sensing |
| dc.title.none.fl_str_mv | Cyber-Physical System Demonstration of an Automated Shuttle-Conveyor-Belt Operation for Inventory Control of Multiple Stockpiles: A Proof of Concept |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">Smart manufacturing in the so-called Industry 4.0 age pushes the research and development of laboratory-scale proof of concepts before its deployment in pilots and real-size equipment. As such, we present a cyber-physical system (CPS) demonstration in the mining industry field engineered to autonomously manage the handling of solids flowing in a conveyor-belt that drops materials in containers, forming multiple stockpiles per belt. The CPS operates to control multiple stockpiles’ inventories using mixed-integer optimization that minimizes the square deviation of the measured inventory to their targets (heights). Within the sensing-optimizing-actuating (SOA) cycle, the CPS demonstration is performed as follows. First, the sensing (data measurement, data processing, and system evaluation) uses a deep neural network in real-time to assess the level of materials stored in transparent containers. Second, the optimizing (mathematical programming, optimization techniques, and decision-making capabilities) is performed using a flowsheet network formulation called unit-operation-port-state superstructure (UOPSS) that permits a fast solution for the position-idle-time-varying discrete manipulated variables as operational schedules. Third, the actuating (cyber-physical integration) implements a physical actuation solution through an integrated CPS environment. According to the findings of our experimentation, stockpiling process control in a smart manufacturing context has enormous potentials to control multiple stockpiles’ inventory autonomously.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/legalcode" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2022.3226942" target="_blank">https://dx.doi.org/10.1109/access.2022.3226942</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_198772d7c5d5fda6954dd25825b64c8e |
| identifier_str_mv | 10.1109/access.2022.3226942 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/24056271 |
| publishDate | 2022 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Cyber-Physical System Demonstration of an Automated Shuttle-Conveyor-Belt Operation for Inventory Control of Multiple Stockpiles: A Proof of ConceptMohammed Yaqot (16904577)Robert Eduard Franzoi (16904580)Ashhadul Islam (16869981)Brenno C. Menezes (1831792)EngineeringManufacturing engineeringResources engineering and extractive metallurgyInformation and computing sciencesArtificial intelligenceDecision makingSensorsReal-time systemsCyber-physical systemsSolidsMining industryBeltsActuatingControlCyber-physical system (CPS)ModelingOptimizationSensing<p dir="ltr">Smart manufacturing in the so-called Industry 4.0 age pushes the research and development of laboratory-scale proof of concepts before its deployment in pilots and real-size equipment. As such, we present a cyber-physical system (CPS) demonstration in the mining industry field engineered to autonomously manage the handling of solids flowing in a conveyor-belt that drops materials in containers, forming multiple stockpiles per belt. The CPS operates to control multiple stockpiles’ inventories using mixed-integer optimization that minimizes the square deviation of the measured inventory to their targets (heights). Within the sensing-optimizing-actuating (SOA) cycle, the CPS demonstration is performed as follows. First, the sensing (data measurement, data processing, and system evaluation) uses a deep neural network in real-time to assess the level of materials stored in transparent containers. Second, the optimizing (mathematical programming, optimization techniques, and decision-making capabilities) is performed using a flowsheet network formulation called unit-operation-port-state superstructure (UOPSS) that permits a fast solution for the position-idle-time-varying discrete manipulated variables as operational schedules. Third, the actuating (cyber-physical integration) implements a physical actuation solution through an integrated CPS environment. According to the findings of our experimentation, stockpiling process control in a smart manufacturing context has enormous potentials to control multiple stockpiles’ inventory autonomously.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/legalcode" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2022.3226942" target="_blank">https://dx.doi.org/10.1109/access.2022.3226942</a></p>2022-12-05T00:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1109/access.2022.3226942https://figshare.com/articles/journal_contribution/Cyber-Physical_System_Demonstration_of_an_Automated_Shuttle-Conveyor-Belt_Operation_for_Inventory_Control_of_Multiple_Stockpiles_A_Proof_of_Concept/24056271CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/240562712022-12-05T00:00:00Z |
| spellingShingle | Cyber-Physical System Demonstration of an Automated Shuttle-Conveyor-Belt Operation for Inventory Control of Multiple Stockpiles: A Proof of Concept Mohammed Yaqot (16904577) Engineering Manufacturing engineering Resources engineering and extractive metallurgy Information and computing sciences Artificial intelligence Decision making Sensors Real-time systems Cyber-physical systems Solids Mining industry Belts Actuating Control Cyber-physical system (CPS) Modeling Optimization Sensing |
| status_str | publishedVersion |
| title | Cyber-Physical System Demonstration of an Automated Shuttle-Conveyor-Belt Operation for Inventory Control of Multiple Stockpiles: A Proof of Concept |
| title_full | Cyber-Physical System Demonstration of an Automated Shuttle-Conveyor-Belt Operation for Inventory Control of Multiple Stockpiles: A Proof of Concept |
| title_fullStr | Cyber-Physical System Demonstration of an Automated Shuttle-Conveyor-Belt Operation for Inventory Control of Multiple Stockpiles: A Proof of Concept |
| title_full_unstemmed | Cyber-Physical System Demonstration of an Automated Shuttle-Conveyor-Belt Operation for Inventory Control of Multiple Stockpiles: A Proof of Concept |
| title_short | Cyber-Physical System Demonstration of an Automated Shuttle-Conveyor-Belt Operation for Inventory Control of Multiple Stockpiles: A Proof of Concept |
| title_sort | Cyber-Physical System Demonstration of an Automated Shuttle-Conveyor-Belt Operation for Inventory Control of Multiple Stockpiles: A Proof of Concept |
| topic | Engineering Manufacturing engineering Resources engineering and extractive metallurgy Information and computing sciences Artificial intelligence Decision making Sensors Real-time systems Cyber-physical systems Solids Mining industry Belts Actuating Control Cyber-physical system (CPS) Modeling Optimization Sensing |