Deep Learning Based Protective Equipment Detection on Offshore Drilling Platform

Gong, Fengkui; Ji, Xiaofeng; Gong, Wenjuan; Yuan, Xiao Ming; Gong, Chenyu

doi:10.3390/sym13060954

Cited by 16 publications

(5 citation statements)

References 31 publications

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“…Another feature is the fact that such systems operate at great water depths. Therefore, to solve the complex technical problem of stationkeeping floating objects, special anchors with increased holding force and flexible ties in the form of chains, ropes, and composite lines are used [11]. Such mooring systems can have a length of up to 1500 m and above, and the number of anchor lines can reach sixteen.…”

Section: Discussionmentioning

confidence: 99%

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Static Calculation of Mooring Systems for Offshore Floating Structures

Sugirov

2023

GEOMATE

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The relevance of the study lies in the importance of ensuring the trouble-free operation of the mooring system of expensive floating structures. Under any external influences, the mooring system must ensure the continuation of the normal operation of the floating object. The purpose of the study is to consider the available approaches and methods for calculating the mooring of floating structures and obtaining the parameters of the system in a static formulation. The methodology used in this study is a combination of methods of complex analysis of complex static systems. It is shown that the static calculation of mooring systems is a simple but at the same time quite effective method. Analysis of the operation parameters of floating structures obtained as a result of the calculation (using the example of the floating project 81260 dock) showed that the complexity of the task of calculating mooring systems depends on the parameters of the structure itself, and at the stage of its operation -on the composition of its mooring system and the efforts arising in it. As a result, it was established that the values of static displacements of anchor chains depend on the angle of inclination of the anchor ties relative to the bottom plane and the values of the acting external loads.

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Section: Discussionmentioning

confidence: 99%

“…The standard approach to solving the problem of calculations of floating object mooring systems is described in the study [9]. The modern approach to the calculation of mooring systems for marine floating structures proceeds from the fact that spatial objects are subject to various force actions during the operation [9][10][11].…”

Section: Methodsmentioning

confidence: 99%

Static Calculation of Mooring Systems for Offshore Floating Structures

Sugirov

2023

GEOMATE

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“…En el trabajo de Gong et al [9], proponen un método para detectar trabajadores en el sitio y obtiene el cuadro delimitador de personal. El resultado de la detección de candidatos se utiliza como entrada del reconocimiento de gestos para detectar puntos clave del cuerpo humano.…”

Section: Estado Del Arteunclassified

“…𝑄 ̅ = 𝐿 𝑛 𝑞 →𝑛 𝑜𝑢𝑡 ∘ 𝑄 ∘ 𝐿 𝑛 𝑖𝑛 →𝑛 𝑞 (9) En la Fig. 8, se muestra gráficamente el modelo de aprendizaje de transferencia cuántica propuesto.…”

Section: Patronesunclassified

Quantum Learning Transfer Model for the classification of people with safety helmets

Sulla-Torres,

Martínez Muñoz,

Castillo Cáceres

et al. 2023

Proceedings of the 21th LACCEI International Multi-Conference for Engineering, Education and Technology (LACCEI 2023): “Leaders

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The problem of personal accidents in a work environment in many cases is due to the lack of use of helmets, among other safety elements. The objective of this work was to classify images of people who use or not use safety helmets, in the classes identified as correct use of the helmet, incorrect use and without a safety helmet, with a Quantum Transfer Learning model. For this, the method used has allowed the collection of a data set of 750 images of people in different work activities. The classical learning transfer model chosen was ResNet-18; the variational layers of the proposed model were built with the Basic Entangler Layers template for four qubits with the Pennylane quantum simulator. The results were 95.47% accurate in classifying the correct Safety Helmets. The conclusion reached is that the proposed model is a good option to detect and classify people with the use of safety helmets in a work environment.

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“…Furthermore, the use of AI has been proposed to improve health and safety by using DL to monitor and detect safety violations by personnel on drilling platforms [138]. Health and safety of drilling workers can also be monitored using IoT devices such as heart rate monitor, toxic gas monitor, gesture detectors, slip and fall detectors, smart helmets, motion active sensors, as well as a self-contained breathing apparatus [23].…”

Section: ) Drilling Operationsmentioning

confidence: 99%

A Survey on Industry 4.0 for the Oil and Gas Industry: Upstream Sector

et al. 2021

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The market volatility in the oil and gas (O&G) sector, the dwindling demand for oil due to the impact of COVID-19, and the push for alternative greener energy are driving the need for innovation and digitization in the O&G industry. This has attracted research interest from academia and the industry in the application of industry 4.0 (I4.0) technologies in the O&G sector. The application of some of these I4.0 technologies has been presented in the literature, but the domain still lacks a comprehensive survey of the application of I4.0 in the O&G upstream sector. This paper investigates the state-of-the-art efforts directed toward I4.0 technologies in the O&G upstream sector. To achieve this, first, an overview of the I4.0 is discussed followed by a systematic literature review from an integrative perspective for publications between 2012-2021 with 223 analyzed documents. The benefits and challenges of the adoption of I4.0 have been identified. Moreover, the paper adds value by proposing a framework for the implementation of I4.0 in the O&G upstream sector. Finally, future directions and research opportunities such as framework, edge computing, quantum computing, communication technologies, standardization, and innovative areas related to the implementation of I4.0 in the upstream sector are presented. The findings from this review show that I4.0 technologies are currently being explored and deployed for various aspects of the upstream sector. However, some of the I4.0 technologies like additive manufacturing and virtual reality are least explored.INDEX TERMS Artificial intelligence (AI), cyber-physical systems, digital-twin, framework, oil and gas (O&G), industry revolution 4.0 (IR 4.0), industry 4.0 (I4.0), internet of things (IoT), simulation, upstream sector

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Deep Learning Based Protective Equipment Detection on Offshore Drilling Platform

Cited by 16 publications

References 31 publications

Static Calculation of Mooring Systems for Offshore Floating Structures

Static Calculation of Mooring Systems for Offshore Floating Structures

Quantum Learning Transfer Model for the classification of people with safety helmets

A Survey on Industry 4.0 for the Oil and Gas Industry: Upstream Sector

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