Stopping accidents before they happen key to data project
That's the aim of Justin Strharsky and his technology company Synaptor, which is taking incident logs and other reports generated on sites and analysing them to provide early warnings of risky behaviour or potential mishaps that may lead to injury.
As an indicator of the need for his company's technology, he cited Safe Work Australia statistics showing occupational illness and injuries cost the country $60.6 billion in 2008-09.
Synaptor's critical capability is its capacity to capture and manipulate live data, such as incoming reports of potential hazards like new potholes in roads or workers not wearing appropriate safety gear.
Synaptor analyses these reports and plots the data in real time on an interactive risk map, which is used to predict when and how an individual is most likely to be injured. It then generates an alert.
"One of the things we think is really key to preventing accidents is having the right information at the right time," Mr Strharsky said. "And part of the problem in industry now is that it is always at the wrong time. They are always responding to last month's data."
Mr Strharsky said Synaptor was in discussions with one site that already generated more than 40,000 observations about hazards and employee behaviour each month.
He said the accuracy of the system would improve as more sites provided data. There was also potential to bring in additional site data, such as shift length, swing length, and training records, as well as data from external sources that might have a bearing on safety, such as weather forecasts.
"Safety science has been doing the same thing for the past 60 years and has plateaued in its effectiveness," Mr Strharsky said.
Full story: smh.com.au/it-pro
Frequently Asked Questions about this Article…
The main goal of Synaptor's data project is to reduce accidents on large mining and construction sites by analyzing incident logs and reports to provide early warnings of risky behavior or potential mishaps.
The main goal of Synaptor's data project is to reduce accidents on large mining and construction sites by analyzing incident logs and reports to provide early warnings of risky behavior or potential mishaps.
Synaptor's technology captures and analyzes live data from reports of potential hazards, such as potholes or improper safety gear usage, and plots this data on an interactive risk map to predict and alert when and how an individual is most likely to be injured.
Synaptor's technology captures and analyzes live data, such as reports of potential hazards, and plots this information on an interactive risk map. This helps predict when and how an individual is most likely to be injured, allowing for timely alerts and preventive measures.
Real-time data is crucial because it provides the right information at the right time, allowing for proactive measures rather than reacting to outdated data, which is often the case in the industry.
Real-time data is crucial because it provides the right information at the right time, allowing for proactive measures rather than reacting to outdated data. This timely information helps in preventing accidents more effectively.
Synaptor plans to incorporate additional site data such as shift length, swing length, training records, and external data like weather forecasts to enhance the accuracy of safety predictions.
Synaptor plans to incorporate additional site data such as shift length, swing length, and training records, as well as external data like weather forecasts, to enhance the accuracy of safety predictions.
Synaptor's approach differs by utilizing advanced data analytics and real-time data to provide proactive safety measures, whereas traditional safety science has remained largely unchanged and less effective over the past 60 years.
The accuracy of Synaptor's system improves as more sites provide data, allowing for a more comprehensive analysis of potential hazards and risky behaviors, leading to better safety predictions and alerts.
Workplace accidents and occupational illnesses cost Australia $60.6 billion in 2008-09, highlighting the significant financial impact and the need for improved safety measures.
Synaptor aims to address the challenge of relying on outdated data by providing real-time information that allows for proactive safety measures, rather than reacting to incidents after they occur.
The accuracy of Synaptor's system improves as more sites provide data, allowing for better analysis and more precise predictions of potential safety hazards.
By reducing accidents and improving safety on sites, Synaptor's project has the potential to significantly lower the costs associated with occupational illnesses and injuries, which were reported to be $60.6 billion in 2008-09.
A key challenge is the industry's reliance on outdated data, which leads to reactive rather than proactive safety measures. Synaptor aims to address this by providing real-time data analysis for timely interventions.
Synaptor believes traditional safety science has plateaued because it has been using the same methods for the past 60 years, and their technology offers a new approach by utilizing real-time data and predictive analytics to enhance safety measures.
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