Grain Bin Safety Week 2019 – Fires and Explosions

Posted February 22, 2019 by Erin in Agribusiness, Farm Safety, Featured, News, Risk Management | 0 comments

The grain handling industry is a high hazard industry where workers can be exposed to numerous serious and life threatening hazards.  Sparks and molten material in excess of 1000’ F can easily ignite nearby flammable materials, liquids or atmospheres resulting in a fire and/or explosion with potentially catastrophic consequences.  To educate employers, employees and the public about safety in the grain handling industry, Grain Bin Safety Week is held February 17-23, 2019.

Follow these guidelines when hot work is performed:

  • Wear appropriate Personal Protective Equipment (PPE) and/or clothing to minimize the potential for burns, trapped sparks and electric shock
  • Utilize fire watches during hot work operations
  • Don’t clean while performing hot work
  • Don’t allow machinery or equipment to be operated or grain to be dumped nearby hot work operations
  • Install a designated fire watch for 30 minutes at the completion of hot work. It’s a good practice to inspect hot work area periodically thereafter and once more before closing

To download a PDF of this information to share with your team, click HERE.

For more information visit www.grainbinsafetyweek.com

 

Source: https://www.nationwide.com/agribusiness-risk-management-options.jsp

This document is not intended to be taken as advice regarding any individual situation and should not be relied upon as such. Marsh & McLennan Agency LLC shall have no obligation to update this publication and shall have no liability to you or any other party arising out of this publication or any matter contained herein. Any statements concerning actuarial, tax, accounting or legal matters are based solely on our experience as consultants and are not to be relied upon as actuarial, accounting, tax or legal advice, for which you should consult your own professional advisors. Any modeling analytics or projections are subject to inherent uncertainty and the analysis could be materially affective if any underlying assumptions, conditions, information or factors are inaccurate or incomplete or should change.

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