It is clear that technological advances being made in computing and the internet have a huge role to play in energy generation of the future. CATS Photonic sensing technologies integrates with Array of things and Catsmart Artificial intelligence help in leveraging renewable energy and make it efficient.
Photonic sensors can enable a company to monitor its wind turbines and solar farms and their health, allowing it to switch to a condition-based maintenance schedule where turbines and their structures are repaired on an as-needed basis.
  • VIDUR is considered to be a sound indicator of a machine's overall health state.
  • Developed condition monitoring strategy can be applied for detecting excessive vibration levels that can lead to engine component failure.
  • Vidur continuously monitors the turbine shafts for torsional vibration.
  • CATS machine-learning algorithms do not rely on the quality of the training data but rather adaptively classify the different states/operation condition of the engine examined.
Mast Structural health Monitoring
  • Structural health of Mast is very important.
  • Visual examination limits the determination and distinguishing extent of damage.
  • VIDUR can be used to monitor condition and vibration monitoring of Mast.
  • Vidur scan the complete Mast esp. inaccessible areas. Our system thereby identifies internal damage that cannot be collected by high resolution image.
Following are the features of damage data collection.
  • Level 1 : Detection- simply answers the question: is there a damage?
  • Level 2 : Localization- capable of specifying the location of the damage within the structure
  • Level 3 : Assessment- capable of specifying the type and extent of damage
  • Level 4 : Prediction- capable of estimating the remaining useful life (RUL) and safety
Vidur Recognizing the types of structural defects :-
  • Identifies any signs of material deterioration or any signs of structural distress and deformation.
  • Identifies any alteration and addition in the structure, misuse which may result in overloading.
  • Load testing of flexural members to be carried out In case the core test results do not satisfy the requirements.
  • Crack, Damage or overlain with material, Potential / prospective fractures
  • Increasing gaps between disjointed hinges, potential impact areas while landing, etc.
  • Reducing time interval between Diagnosis and Prognosis.
  • SAMIRA is very light weight wind monitoring system.
  • It can be easily transported from one location to other during feasibility of new site or after the wind turbines are installed.
  • In fact, Samira can be mounted on a electric vehicle and moved from one location to other to avail precise data of overall wind farms.
  • This will assist in analytical judgment on generation of power in a specific geo location of a wind farm.
  • When submitting a wind project for financial review, consistency of data is a primary point of consideration. Hence data is correlated and aggregated with extreme accuracy.
  • SAMIRA can be rotated 360DEG. Data of wind can be collected vertically as well as horizontally at distance of every 100mm to 5km as required.
  • SAMIRA is at the fractional cost to their conventional equivalent.
    Hence Samira can be installed on one of the wind turbine wherein the wind speed, velocity and direction, with Pm levels and weather information can be provided for 78.5 sq. km. of area that is equivalent to 20000 acres (approx.)
  • Solar radiation, temperature and humidity levels influence solar panels to generate energy. Samira can monitor these parameters and assist in estimating the power generation on day to day basis.
  • AUM Optoelectronic system are capable of identifying natural hydrodynamic signatures generated by biological organisms, phenomena like tsunamis, waves, tides and currents and earth quakes.
  • The Optoelectronic system delivers the most technologically advanced self-contained and integrated remote underwater observation systems.
  • This will assist offshore wind farms to get information of tides and currents.
Improved Asset Performance
  • By combining different data like solar radiation, temperature, wind speed, dust levels and energy outputs of individual wind turbines or panels, grid managers can uncover low-performing units and potential causes. This helps optimize reparation and maintenance planning to enhance asset performance. For example, reduced energy outputs combined with high particle levels in the air could indicate panel soiling as well Wind turbine blade rotations and suggest more regular cleaning schedules. Likewise, low efficiencies of individual modules could reveal insulation, configuration and alignment issues.
Enhanced Worker's Productivity
  • With the granular visibility, technicians can instantly locate and troubleshoot error sources, instead of wasting time inspecting every single panel or wind turbine. What's more, automated data collection reduces field trips to only maintenance and reparation purposes, freeing up technicians' time for more important tasks.
Effective Production Forecast
  • Beyond reactive response, the benefits of CATSmart AoT for renewable energy also include better production forecasts and improved grid stability. With enough historical data at hand, energy companies and service companies can apply analytical and predictive models to calculate power generation rates under given weather conditions. As such, they can anticipate how much solar / wind energy can be produced on a certain day, and how other energy resource inputs should be adjusted for demand-supply balance in the grid.
Theft and Vandalism Prevention
  • An Photonic based ground vibration system and image processing system will monitor and help to protect solar panels against theft and vandalism attempts, especially in rural areas. For example, Photonic sensors can detect suspicious movements around a panel or mast if it is dismantled from the supporting structure. An alarm can then be automatically triggered for operators to timely intervene.
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