GSO ISO 3864-1:2017

ISO 3864-1:2011
Gulf Standard   Current Edition · Approved on 27 April 2017

Graphical symbols — Safety colours and safety signs - Part 1: Design principles for safety signs and safety markings

GSO ISO 3864-1:2017 Files

Arabic 23 Pages
Current Edition
55.42 OMR

GSO ISO 3864-1:2017 Scope

ISO 3864-1:2011 establishes the safety identification colours and design principles for safety signs and safety markings to be used in workplaces and in public areas for the purpose of accident prevention, fire protection, health hazard information and emergency evacuation. It also establishes the basic principles to be applied when developing standards containing safety signs. ISO 3864-1:2011 is applicable to all locations where safety issues related to people need to be addressed. However, it is not applicable to the signalling used for guiding rail, road, river, maritime and air traffic and, generally speaking, to those sectors subject to a regulation which may differ.

Best Sellers From Metrology Sector

GSO OIML R87:2021
OIML R87:2016 
Gulf Standard
Quantity of product in prepackages
GSO OIML R79:2021
OIML R79:2015 
Gulf Standard
Labeling requirements for prepackages
OS GSO OIML R76-1:2009
OIML R 76-1:2006 
Omani Standard
Non-automatic weighing instruments – Part 1: Metrological and technical requirements - Tests
GSO OIML R 76-1:2009
OIML R 76-1:2006 
Gulf Standard
Non-automatic weighing instruments – Part 1: Metrological and technical requirements - Tests

Recently Published from Metrology Sector

GSO IEC 62055-31:2024
IEC 62055-31:2022 
Gulf Standard
Electricity metering - Payment systems - Part 31: Particular requirements - Static payment meters for active energy (classes 0,5, 1 and 2)
GSO ISO 16399:2024
ISO 16399:2023 
Gulf Standard
Agricultural irrigation equipment — Meters for irrigation water
GSO ISO 80004-1:2024
ISO 80004-1:2023 
Gulf Standard
Nanotechnologies – Vocabulary — Part 1: Core vocabulary
GSO ISO 19749:2024
ISO 19749:2021 
Gulf Standard
Nanotechnologies — Measurements of particle size and shape distributions by scanning electron microscopy