Basic Principles for Protective Equipment Application

Koradecka, Danuta

doi:10.1201/ebk1439806845-34

Cited by 5 publications

(3 citation statements)

References 2 publications

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“…Protective equipment usually performs its functions in the form of generating a signal that stops the dangerous movement of the machine when it is detected that the operator or part of his body is approaching a dangerous area (Dźwiarek, 2010). One of the first protective equipment was a two-hand-controlled device.…”

Section: Resultsmentioning

confidence: 99%

Touch sensors used in Industry 4.0 to machines in the manufacturing industry on occupational health and safety

Ağseren,

Şimşek

2024

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Purpose This study aims to prevent occupational accidents occurring in the manufacturing industry by means of touch sensors. When the occupational accidents occurring in the manufacturing industry around the world are examined, it is seen that approximately 88% of occupational accidents occur from “dangerous movement” and 10% from “dangerous situation.” Although some studies related to safety culture studies, safety studies in design and collective or personal protective measures have been started, they have not been brought to an adequate level. It is observed that studies on dangerous movements continue even in many developed countries. In this study, first of all, a literature study was conducted. Occupational accidents experienced in the manufacturing sector in Turkey have been examined. In line with these investigations, a prototype circuit protection system has been developed that can prevent accidents caused by dangerous movement. With the circuit, its applicability and effectiveness were measured by conducting experiments on different manufacturing machines. The prototype circuit applied in this paper was made based on the logic of protective measures made on sawstop machines used in different sectors. In the experimental study conducted, it was observed that in 30 experiments conducted with a prototype on ten separate manufacturing machines, it stopped the machines 26 times at minimum and 29 times at maximum. On average, when looking at the system efficiency values, it was seen that the system was 81.6% effective, and it was observed that positive results could be obtained when converted into a real product. Design/methodology/approach In this study, their contribution to the prevention of work accidents caused by presses and rotary accents from machines used in the manufacturing industry by means of touch sensors used in Industry 4.0 was examined. Findings With Industry 4.0, different automation systems began to be switched in many areas and sectors. Studies have started on different sensors used also in Industry 4.0 in occupational health and safety studies, but it is seen that they have not been applied at an adequate level. It should be designed in such a way as to prevent errors or stop these errors in the studies performed. Today, sensors are produced at much lower costs than before. In addition, the constantly developing technology provides great convenience for these applications. Research limitations/implications This study was applied for press and cylinder machines from manufacturing machines. This study has been tried for machines producing a maximum pressure of 300 tons. Originality/value A prototype was designed. Trials were done on some machines by prototype. There could be improve and find different solutions for safety problems in the industry with this perspective.

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Section: Resultsmentioning

confidence: 99%

Touch sensors used in Industry 4.0 to machines in the manufacturing industry on occupational health and safety

Ağseren,

Şimşek

2024

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“…Flexibility in production is an important factor in industry. It is sometimes useful to allow a human and a machine (e.g., an industrial robot) to work together [1,2] to optimize production. In a human-machine co-operation system, where the human and the machine share work space which cannot be separated, e.g., with fences, special safety systems are necessary.…”

Section: Introductionmentioning

confidence: 99%

Stereovision Safety System for Identifying Workers’ Presence: Results of Tests

Grabowski

Jankowski

Dźwiarek

et al. 2014

International Journal of Occupational Safety and Ergonomics

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This article presents the results of extensive tests of a stereovision safety system performed using real and artificial images. A vision based protective device (VBPD) analyses images from 2 cameras to calculate the position of a worker and moving parts of a machine (e.g., an industrial robot's arm). Experiments show that the stereovision safety system works properly in real time even when subjected to rapid changes in illumination level. Experiments performed with a functional model of an industrial robot indicate that this safety system can be used to detect dangerous situations at workstations equipped with a robot, in human-robot co- operation. Computer-generated artificial images of a workplace simplify and accelerate testing procedures, and make it possible to compare the effectiveness of VBPDs and other protective devices at no additional cost.

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“…In human-machine cooperation systems monitoring device using camera can be applicable to safety (1,2) . On the basis of images from camera the distance between man and machine is calculated and compared to the minimum acceptable.…”

Section: Introduction (12ptbold)mentioning

confidence: 99%

Using Real and Artificial Images for Testing Vision Based Protective Devices

Grabowski

2013

Proceedings of the 1st IEEE/IIAE International Conference on Intelligent Systems and Image Processing 2013

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In the paper the vision based system is presented. On the basis of images from two cameras the distance between man and moving parts of a machine is calculated and compared to the minimum acceptable. Experiments conducted using real and artificial images indicate that our system can work in a real time and detect successively dangerous situations. Results of performed experiments using real images show that the safety system works properly in different conditions typical for industrial environment, eg. for a wide range of illumination and rapid changes of illumination level. Tests based on artificial images of real assembly line show that application of vision based system can significantly decrease downtime.

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Basic Principles for Protective Equipment Application

Cited by 5 publications

References 2 publications

Touch sensors used in Industry 4.0 to machines in the manufacturing industry on occupational health and safety

Touch sensors used in Industry 4.0 to machines in the manufacturing industry on occupational health and safety

Stereovision Safety System for Identifying Workers’ Presence: Results of Tests

Using Real and Artificial Images for Testing Vision Based Protective Devices

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