Why the EHAB platform?

Our approach to understanding weather impact in construction projects integrates both historical and predictive analyses. Initially, we harness the ECMWF dataset, renowned for its comprehensive global historical data. This dataset amalgamates readings from satellites and local stations, employing sophisticated techniques and enhancements to refine and calibrate the data, thus providing a robust understanding of past and present weather patterns at specific locations.

Predicting future weather impact, however, presents a more complex challenge. To address this, we’ve developed an advanced model that employs a blend of big data, statistical methods, and machine learning. This model diverges from traditional weather forecasting, which typically becomes unreliable beyond a 15-day horizon. Instead, our focus is on forecasting weather-related impacts. We generate a 40-year dataset for each location and conduct a climate trend analysis, emphasizing recent years to account for evolving weather patterns. This process yields a ‘standard year’ representative of each location’s typical weather conditions.

In the next phase, project plans from major scheduling software are integrated and categorized within our system. Each project activity is assigned specific weather sensitivity thresholds, guided by EHAB’s default risk matrix, which is grounded in industry research and expert insights. Users can match project plans to the risk matrix either manually or through predefined activity codes or UDF fields, utilizing EHAB’s intuitive interface.

Upon completion of this matching process, our model conducts 1,000 simulations for each project. These simulations meticulously consider the duration of tasks, corresponding weather data, and weather variability factors, including the time of year and location-specific thresholds. Additionally, the simulations account for the interdependencies within the project plan, which influence the risk and rescheduling of subsequent activities.

After running these simulations, the model outputs a probabilistic assessment of weather-related risks and potential delays for the project. This output, encompassing a range of outcomes from the 1,000 simulations, offers probabilities of impact and delay. To facilitate actionable insights, the EHAB platform presents various dashboards. These dashboards enable users to deeply analyze and leverage this information throughout the construction project lifecycle, enhancing decision-making and risk management.