ENERGY
the technological revolution for energy companies
PREDICTIVE MAINTENANCE FOR WIND FARMS
- CHALLENGE:
Our client is a leading company specialized in wind energy projects. This company has equipment with built-in sensors in its wind farms and applies outsourced corrective maintenance to all of them. This type of maintenance does not contribute to the durability of the machinery and the agility of the production processes.
- CHALLENGE:
Our client is a leading company specialized in wind energy projects. This company has equipment with built-in sensors in its wind farms and applies outsourced corrective maintenance to all of them. This type of maintenance does not contribute to the durability of the machinery and the agility of the production processes.
- SPECIFIC NEEDS:
Obtain greater control and analysis of the information extracted through the sensors.
Design and implement a company-specific predictive maintenance system.
Execute exhaustive analysis to detect new business needs.
- SOLUTION :
- The company could streamline the collection, structuring and analysis of the data obtained by the sensors by creating a customized platform. This optimization in the storage of information facilitates its comprehension and favours the preparation of advanced analytics, obtaining dashboards of great value for the company.
- A detailed analysis of the operation of the plant is carried out to identify irregularities in the wind turbines and possible energy losses.
- The company can have greater control and foresight over the state of its equipment thanks to the design and implementation of a predictive model based on AI, which allows increasing the efficiency of processes and avoid cost overruns.
IMPROVE SUPPLY CHAIN PLANNING
IMPROVE SUPPLY CHAIN PLANNING
- CHALLENGE:
A leading company in the renewable energy sector encounters difficulties in the management and planning of the processes associated with the supply chain of eucalyptus forests. They require a customized solution that allows them to achieve greater profit from their eucalyptus fields and improve management with external companies.
- CHALLENGE:
A leading company in the renewable energy sector encounters difficulties in the management and planning of the processes associated with the supply chain of eucalyptus forests. They require a customized solution that allows them to achieve greater profit from their eucalyptus fields and improve management with external companies.
- SOLUTION:
- We generate a solution based on Machine Learning, adapted to the characteristics and objectives of the company. Thanks to this solution, the company can improve its process planning, treating them jointly to promote a continuous flow of information to extract maximum profitability from the forests.
- They optimize the management of time and equipment thanks to the planner, which allows them to detect the most suitable forests to use and assign the different contracts.
- By applying predictive analytics, it is possible to predict the status and situation of processes and equipment in order to increase production and avoid downtime. This solution also facilitates the estimation of the amount of timber that will be needed in the coming months and the forecast of harvesting volumes by area.
