2012-03-01 12:00 - Messages

Opérations sur les ouvrages et installations électriques et dans un environnement électrique

Prévention du risque électrique
Domaine d'application du présent documentLes prescriptions du présent document sont établies en vue d'assurer la sécurité des personnes contre les dangers d'origine électrique lorsqu'elles effectuent des OPERATIONS d'ORDRE ELECTRIQUE ou d'ORDRE NON ELECTRIQUE, sur des OUVRAGES ou des INSTALLATIONS de toute tension inférieure ou égale à 500 kV en courant alternatif ou en courant continu, et ce, quelle que soit la nature des activités (construction, réalisation, EXPLOITATION, démantèlement, etc. en présence du risque électrique).Les prescriptions du présent document s'appliquent à toute OPERATION d'ORDRE ELECTRIQUE ou d'ORDRE NON ELECTRIQUE sur ou dans l'ENVIRONNEMENT des OUVRAGES ou des INSTALLATIONS, dès que ces derniers sont en situation d'être alimentés ou, au plus tard, dès leur première mise sous tension totale ou partielle, même pour ESSAI.

Source : http://www.boutique.afnor.org/NEL5DetailNormeEnLigne.aspx?&nivCtx=NELZNELZ1A10A101A107&ts=727565&CLE_ART=FA173528

An adaptive online safety assessment method for mechanical system with pre-warning function

The safety status of a dynamic mechanical system is determined by its historical, current and future states together. Therefore the safety assessment process of such system should have dynamic and diachronic characteristics, which helps to track the dynamic states of system and predict future probable danger in advance. In order to overcome the disadvantages of traditional static safety assessment approaches, the results from which are often delayed and prone to produce false alarms, an adaptive online safety assessment method is proposed in this paper, which consists of two steps. A dynamic adaptive weighting method is first introduced and an aggregation scheme based on “3-D” time perspective is further presented to integrate system's historical, current and future safety performance in a unit framework, considering both of assessment and pre-warning functions. The proposed method is able to track and predict the safety status of system dynamically and discover the potential fault in time. Its feasibility and benefits are investigated with a field case study of gas turbine compressor system, which validates that the proposed method improves the accuracy of safety assessment in dynamic conditions, and finally helps to restrain the fault symptom by proactive maintenance successfully.

Source : Jinqiu Hu, , Laibin Zhang, Wei Liang. An adaptive online safety assessment method for mechanical system with pre-warning function. Safety Science. Volume 50, Issue 3, March 2012, Pages 385–399.

Code of Practice on Safety and Health in the Use of Machinery

This code of practice is intended to provide guidance on safety and health in the use of machinery at the workplace. A Meeting of Experts on Safety in the Use of Machinery was convened in Geneva from 29 November to 7 December 2011 and adopted a code of practice on safety and health in the use of machinery.

Source : http://www.ilo.org/safework/normative/codes/WCMS_164653/lang--fr/index.htm

Risk factors for occupational hand injuries

Relationship between agency and finger
BACKGROUND: The aim of this study was to define the risk factors for occupational hand injuries and explore the relationship between the machines and the fingers injured, based on the records of a hospital in Turkey specialized in hand and microsurgery. METHODS: Five thousand twenty seven occupational hand injuries treated at a hand and microsurgery hospital between 1992 and 2005 were included in the study. All the injuries were retrospectively recoded according to ICD-10, (ICECI) and ILO recommendations. Logistic regression and chi-square for trend analysis were used to evaluate the risk factors for occupational injuries. RESULTS: The most frequent injuries were traumatic amputation of wrist and hand (53.2%), open wound of wrist and hand (46.3%). Considering all injuries, 60.9% of agricultural machines, 52.7% of metal working machines, 54.7% of transmission machinery, and 42.8% of wood and assimilated machines affected the right hand. Powered wood cutters, presses, planning and milling machines, and machine belts were the most frequent five machines involved in injuries, each having a different finger pattern. The proportion of machinery among all hand injuries was significantly decreasing with time. CONCLUSION: A stricter and more frequent supervision of the use of protective equipment and prohibition of the purchase of machinery not complying with the regulations could contribute to the prevention of hand injuries.

Source : Davasaksan A, Durusoy R, Bal E, Kayalar M, Ada S, Tanik FA. Risk factors for occupational hand injuries: Relationship between agency and finger. Am. J. Ind. Med. 2012.

A case-crossover study of work-related acute traumatic hand injuries in the People’s Republic of China

Objective: The aim of this study was to quantify potential transient risk factors for occupational acute hand injury among hospitalized workers in the People's Republic of China (PRC).
Methods: Participants were recruited from 11 medical facilities in 3 cities of the PRC. A face-to-face interview was used to collect information on the occurrence of 8 potential risk factors within a 90-minute time period before an acute traumatic hand injury and during a control period within the month before the injury. The reliability of reporting transient risk factors was assessed, and a case-crossover design was used to estimate the injury incidence risk ratio (IRR) of each risk factor.
Results: In total,703 hospitalized workers completed the interview (527 male, 176 female), with a mean age of 31.8 [standard deviation (SD) 10.3] years. The median time interval between injury and interview was four days. Thirty percent of participants had a crush injury and 25.7% had an amputation. Using malfunctioning machinery/tools/material, performing a task with a different method, working overtime, and wearing gloves were found to have good reliability in test-retest examination [intra-class correlation coefficient (ICC)>0.9]. The IRR of a hand injury were markedly increased while using malfunctioning machinery/tools/material [110.4, 95% confidence interval (95% CI) 97.4–125.2], performing a task with a different method than usual (84.3, 95% CI 67.7–105.1), or being distracted (69.6, 95% CI 57.9–83.7). Gender and size of company were associated with differences in glove usage.
Conclusions: The results suggest the importance of transient, potentially modifiable factors in the etiology of occupational acute hand injury in the PRC. Regular maintenance of machinery/tools, work practice controls, and avoiding distractions should be priorities for reducing the risk of occupational acute hand injuries.

Source : Jin K, Lombardi DA, Courtney TK, Sorock GS, Li M, Pan R, Wang X, Lin J, Liang Y, Perry MJ. A case-crossover study of work-related acute traumatic hand injuries in the People's Republic of China. Scand J Work Environ Health. 2012;38(2):163-170.

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