Our water and materials management workflows encompass data collection through sophisticated instrumentation, efficient data management, advanced machine learning models, and actionable insights through intuitive dashboards.
LCG has a proven track record in helping clients overcome challenges using AI, including the following:
The advent of modern high frequency sensor, cloud-based data management systems and advanced data analytics tools such as machine learning equip mine operators with much better decision-making capabilities. Our typical four step workflow includes the following steps:
We assist our clients in designing rock, soil, and water data collection programs to enhance data frequency and quality. Specialized instrumentation such as drones, equipped with high-resolution sensors, provide unparalleled aerial imagery and topographic data, enabling precise mapping and monitoring of vast and inaccessible areas. Sensors capture a wide array of environmental parameters, from soil moisture and composition to atmospheric conditions, offering real-time insights into the health and dynamics of ecosystems. These tools are often sourced through specialized partners to ensure the most suitable technology is applied to each project. This sophisticated approach improves the accuracy and scope of our geochemical and environmental assessments, minimizing human error and boosting field data collection efficiency.
At Life Cycle Geo, our data management systems are built to efficiently handle the complexity and volume of data generated by our advanced geochemical and environmental investigations. Leveraging cloud-based solutions, we ensure that critical data is securely stored, easily accessible, and integrated across the project lifecycle. Our systems facilitate the aggregation, storage, and analysis of large datasets, enabling seamless integration from diverse sources. This streamlined approach maintains high data quality standards, supports rigorous scientific analysis, and empowers our clients with the insights needed for informed decision-making.
Life Cycle Geo leverages machine learning techniques to uncover meaningful patterns and relationships within large or complex datasets, transforming data into actionable insights. We employ a range of publicly available unsupervised and supervised machine learning tools, which we creatively combine to address various water and materials-related challenges, such as evaluating contaminant fate and transport, classifying materials, managing process water, and optimizing water treatment. Our workflows are designed to integrate diverse environmental data, including geochemical signatures and temporal-spatial variability patterns. By refining our approach and staying at the forefront of technological advancements, we provide our clients with sophisticated visualization and decision-making tools that forecast outcomes, optimize remediation strategies, and enhance environmental management. Our commitment to using innovative machine learning tools reflects our dedication excellence in geoscience investigations.
The ultimate goal of improved data collection, management, and analysis is to enhance operational decision-making. LCG’s workflows are designed to empower our clients to make informed decisions swiftly. We seamlessly integrate various components of our workflow into existing business intelligence dashboards, such as Tableau and Power BI, or develop custom, stand-alone, cloud-hosted web tools tailored to specific needs.