Managing Health, Safety and Environment is all but an easy task to accomplish with help of MindSafe.
MindSafe can be of great support for HSE Managers as it enables them to:
- Test nominal, abnormal, critical and accident scenarios to see what the consequences are in terms of
- Operators health
- Plant damage
- Environmental impact
- Measure the performance and responsiveness of operator and crew performance and responsiveness to verify training efficacy
- Benchmark crews to adjust to better training programs to real operator and crew needs and activities
Test nominal, abnormal, critical and accident scenarios
Too often training is regarded to be the solution to solve all HSE problems. But evidence has demonstrated that often it would be sufficient to change the way people work, in terms of organizational set-up, or how plant information is displayed to operators, to significantly improve HSE in a quicker and cheaper way
- accidents already occurred in the plant (or in another plant of the corporate)
- near misses already experienced by operators
- scenarios identified by HSE analysts that did not occur but that might happen
- the most critical plant components and tasks that might negatively affect safety during operations
- the difficulties average operators might have to cope with abnormal and critical situations
- the gray zones that might endanger operations when external companies work in the plant
- train operators on operations, maintenance, and emergency management
- modify the organizational set-up
- modify the plant layout or plant components
MindSafe gives managers the possibility to benchmarking the plant operators and better plan for training and modifications to the plant, and to the organizational set-up to improve HSE goals.
Anticipating the health effect on operators of wrong actions
MindSafe allows users to see and measure the effects on operators health resulted as consequence of wrong actions made in the plant during its operation.
Indeed, thanks to the real-time accident simulation engine AXIM, MindSafe enables to estimate whether burns an operator receives as consequence of exposure to a fire are lethal or not and in case they are, what extent according the physiological data of the operator.
The same measurement can be done for the intoxication level estimated on the basis of physical parameters of the operator.
MindSafe supports decisions makers with a variety of scientifically based Health Indexes, called VIRHUALIS Health Indexes (VHI), to use for decision-making purposes.
Emergency Preparedness & Management: linking the real with the virtual
Once the plant behaviour is fully simulated, MindSafe can enable plant crews, as well as first responders, to better cooperate during emergency.
Actually, MindSafe can allow uploading in real-time the most probable simulation of the ongoing accidental scenario on operators helmet, thus enabling them to visualize in real-time what is going on the basis of real plant and atmospheric data.
This way, invisible toxic clouds, are not a problem anymore as they can be visualized using Augmented Reality features on operators helmets by using fake colours, thus making coordination and communication much more effective.
The same apply for the effect on plant components. Actually, thanks to the bidirectional linking MindSafe has with all the commercial Operator Training Simulators, even the effect of a fire on plant components can be make visible to operators, thus allowing them to anticipate what is going on and make better decisions.
Cooperation with Authorities and Insurances
MindSafe can foster the collaboration with authorities, to gain or renew plant authorizations, and with insurances, to better define the premium.
MindSafe enables you to demonstrate what words can hardly do: that your plant is safe, your health protection is high and your environmental impact is under control.
MindSafe allows defining the Key Performance Indicators (KPI) at operational level for the plant, as well as for operators and crews. Communication, situation awareness, and decision-making capabilities can be parameterized and then measured by means of realistic experiments.