Effective health, safety and environmental (HSE) management is more crucial than ever, especially in the high-risk, capital-intensive sectors, from energy and oil and gas to transportation. As legislation becomes more stringent, and public expectations heighten, a single HSE incident can disrupt business operations and damage corporate reputation.
LR announces its latest innovation called LR SafetyScanner. It brings together applied data science and artificial intelligence (AI) to help HSE managers to see beyond current practices, gain greater insights and move to adopting leading-edge systems, ready for the 21st century.
“Many customers are already looking at digitalising their HSE systems to improve their reporting, analysing and managing of safety incidents across their organisations,” says Ran Merkazy, VP Products and Service Innovation at LR. “While AI can better help address these challenges in HSE, companies often struggle to integrate their safety data and understand how to use AI to properly process their data in the right way. We are helping companies overcome this issue with the launch of LR SafetyScanner.”
LR estimates that over 75% of company data, even when available, cannot be easily analysed using a traditional HSE process. Many companies are at a transitional level, transitioning from a traditional, paper based HSE process to a digitalised HSE data capture system to help unlock insights and create commercial value.
Merkazy highlights: “LR SafetyScanner automates the analysis of a company’s data, whatever format it is in – such as near misses, incidents, JHAs, and P2Ws – and transforms it into meaningful insight. It also saves a huge amount of work as a big challenge for many companies is reviewing old inspection reports that normally take large volumes of resource hours to do.”
Using Natural Language Processing, a sub-field of AI, LR SafetyScanner enables computers to understand and process human language instantly and it aligns computers to a human-level understanding of language. Along with text analytics, vision and vital-signs analytics are also being integrated. Human interactions and negative physical conditions, such as fatigue and heat exhaustion, can now be understood in the context of risks and incidents.
“LR SafetyScanner has been trained on 48 hazard categories, complete with hundreds of sub classifiers that help tag events in high resolution, instantly scanning all text data to generate a new picture of an organisation’s hazards. It helps companies to see previously hidden insights and maps out the bigger safety picture, behaviourally, geographically and historically,” says Merkazy.
LR’s advanced technology solution leverages the power of data, creating a leading-edge, predictive approach to HSE management. Rapid progress in data science, powerful computing and enhanced algorithms – including machine learning and artificial intelligence (AI) – are all playing their part in this evolution.
“Data-driven insights are delivering a new HSE era, and we are working with companies to understand their specific challenges and needs to create a proof of concept, which ensures the right outcome tailored for them. We can transform a company’s HSE management to give a much clearer safety picture across a company’s entire organisation.”
LR SafetyScanner helps organisations to bring all the relevant information they need together in one place. With a single view of HSE matters, priorities can be identified and efforts focused in the right areas, reducing incident rates and providing assurance that critical HSE risks are effectively recorded and well-managed.