DETAILS OF PLATFORMS & PRODUCTS is a revolutionary solution that transforms the management of mine fleets. With this, you will unlock the power to optimize and enhance operational efficiency.

Seamlessly navigate the complex fleet landscape with informed, data-driven insights.


From Past to future

Stream Systems’ analyzes historical data from fleet management systems (FMS) in order to identify opportunities in current fleet performance and medium term mine planning sources to expend it.

Fleet AI excels in reducing the time, effort, cost, and risk of making operational and strategic critical decisions, including evaluating opportunities with autonomy, alternative energy sources, energy storage and new fleet operating strategy. Primary target is decision support combining fleet type and size, technologies, infrastructure, lifecycles, Capex, Opex, sustaining capital and finally a procurement plan to phase in the most efficient solution.

In the future, the solution will evolve towards staged optimization and operationalization of new hauling technologies.

Continuous improvement

For managers who want to give to their mine planners, performance analysts, and dispatchers tools to improve mining operations and meet production targets. is the simulation software THAT ingests plans and historical data, real-time data and to continuously optimize towards a common goal of meeting corporate objectives.

Autonomous fleet analysis

With we can model fleet behavior and performance from Fleet Management System (FMS) and Autonomous Control System over actual haul routes, within the defined operating environment and interacting with the other production and auxiliary equipment fleet.

We will generate high fidelity baseline simulation that emulates the haulage system, dynamic areas, number of haul trucks, other Autonomous Operating Zone (AOZ) equipment interaction events including loading unit interactions and bubble events with equipped manual vehicles and other auxiliary equipment, loading scenarios, haul truck events (downtime, standby, operating delays, and non-productive time), actual speed profiles by road segment and calibrated to match production rates.

We will also identify and simulate variable rates of high impact events, reduction of speed constraints, improved exchanges at shovels and performance in dynamic areas (load and dump).

The system will trigger the causes of bunching, excessive queueing, and congestion in the fleet.

Finally we could apply co-defined scenarios into the mine plan to forecast impacts of changes in future operations.

Energy analysis and decarbonization

To reach net zero, all industrial sectors, including mining, must significantly reduce their CO2 emissions through focused decarbonization efforts. This process involves reducing and eliminating the use of fossil fuels and other carbon-intensive sources of energy. A decarbonization strategy requires mining companies to improve their energy efficiency, transition to alternative or renewable energy sources, and implement sustainable operational practices.

Energy analysis is an essential tool that plays a significant role in this process by identifying opportunities for emissions reductions and improving operational efficiency.

With energy analysis, mining companies can make informed decisions about investments in new technologies and equipment that will help them to plan and achieve their decarbonization goals.