Case Study on the Safety and Disaster Prevention System of Factory Intelligent Warehouse

Lin, Yusheng; Chai, Chang-Wei; Chao, Tseng-Wei

doi:10.1109/ecei53102.2022.9829509

Cited by 4 publications

(3 citation statements)

References 4 publications

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“…In warehouse operations, we must always take precautions and measures to protect ourselves from harm or danger (Lin et al, 2022). It is a management guide that explains how to deal with hazards on the job and recommends the specified workplace safety standards for the employee.…”

Section: Safetymentioning

confidence: 99%

Warehouse Automation Implementation Environment: Case of Central Warehouse Management in Mali, West Africa

Co,

Sham,

Ahmad

et al. 2023

E-BPJ

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The implementation of warehouse automation has proven to be an effective way to increase productivity and inventory accuracy, lower labor costs, and improve safety in the warehouse environment. This research aims to investigate the factors contributing to the success of warehouse automation implementation. This study offers a unique and modern warehouse automation environment model as a solution for complete implementation in warehouse automation operations. The study was conducted in Mali, West Africa. A total of 100 responses were collected among warehouse managers through an online Microsoft Forms survey. Smart PLS version 4.0 software was used to analyze the data.

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Section: Safetymentioning

confidence: 99%

Warehouse Automation Implementation Environment: Case of Central Warehouse Management in Mali, West Africa

Co,

Sham,

Ahmad

et al. 2023

E-BPJ

View full text Add to dashboard Cite

show abstract

“…FLC has made significant progress in the field of control systems and is frequently used to address issues with multi-variable and nonlinear systems that cannot be resolved by conventional control systems. Due to the presumption that the system is always stable, the fuzzy controller stability is, however, ignored during the design phase [75][76][77]. In order to operate, the designed system needs to be modified and optimized.…”

Section: ) Defuzzificationmentioning

confidence: 99%

Current Trends in Incubator Control for Premature Infants with Artificial Intelligence Based on Fuzzy Logic Control: Systematic Literature Review

Raharja

Suwarno

Sugiyarta³

2023

Journal of Robotics and Control

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Incubator Control for Premature Babies has benefited greatly from the development of creative methods and uses of artificial intelligence. Due to the immaturity of the epidermis, premature infants lose fluid and heat early in life, which causes hyperosmolar dehydration and hypothermia. Water loss through the epidermis. Therefore, in order to maintain the baby's healthy temperature, an incubator is required. As a result, it is anticipated that the baby will maintain the same temperature as in the mother's womb. A temperature regulation system with good measurement and regulation quality is necessary due to the necessity of Incubator Control for Premature Infants with Artificial Intelligence Based on Fuzzy Logic in treating premature infants. The purpose of this research is to assess current trends in artificial intelligence-based fuzzy logic incubator control for preterm infants. The Preferred Reporting Items for Systematic Review (PRISMA) were used in this study's systematic literature review. 188 suitable articles that fit the inclusion requirements were found after the articles were screened and chosen. The outcomes demonstrated that the Incubator Control for Premature Infants offered the best environment for newborns with growth or disease-related issues (premature babies). An incubator is a sealed space free of dust and bacteria with the ability to regulate temperature, humidity, and oxygen to maintain a stable environment.

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“…Following automated and digital factories, smart factories featuring the Internet of Things, safety monitoring systems, storage equipment management systems and storage operation information systems have become a development goal and direction for modern manufacturing enterprises [1][2][3][4][5][6][7]. In the actual operation of smart factories, warehousing and distribution have become the main factors restricting their development.…”

Section: Introductionmentioning

confidence: 99%

Image Information Recognition and Classification of Warehoused Goods in Intelligent Logistics Based on Machine Vision Technology

He¹,

Wang²,

Liu³

2022

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To sort out warehouse management problems in smart factories, smart warehousing and in-plant smart distribution systems are needed to achieve the goal of lean logistics and distribution in smart factories. There are still some pressing problems in the research on images of warehoused goods in intelligent logistics. For example, a solution hasn’t been found yet to recognise multiple types of warehoused goods in different shapes and colours; static vision image processing solutions have a poor performance in optimising recognition speed and classification accuracy. In response, this paper unveils a study on the image information recognition and classification of warehoused goods in intelligent logistics based on machine vision technology. It presents a process related to warehouse management in intelligent logistics and a corresponding system architecture. It also constructs a YOLOv3 model for the image information recognition and classification of warehoused goods in intelligent logistics. The paper elaborates on the prior box settings and loss function correction methods, and finishes optimising the YOLOv3 model. Experimental results verified the effectiveness of the constructed model.

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Case Study on the Safety and Disaster Prevention System of Factory Intelligent Warehouse

Cited by 4 publications

References 4 publications

Warehouse Automation Implementation Environment: Case of Central Warehouse Management in Mali, West Africa

Warehouse Automation Implementation Environment: Case of Central Warehouse Management in Mali, West Africa

Current Trends in Incubator Control for Premature Infants with Artificial Intelligence Based on Fuzzy Logic Control: Systematic Literature Review

Image Information Recognition and Classification of Warehoused Goods in Intelligent Logistics Based on Machine Vision Technology

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