Description:Title of The Invention
Predictive maintenance of wind and solar farms using iot and machine learning
Field of the Invention
This invention relates to predictive maintenance of wind and solar farms using iot and machine learning.
Background of the Invention
WO2005047999A8: An alternative energy source is a renewable energy, which is derived from renewable natural resources such as the sun, wind, and water. Offering energy without harming the environment is renewable energy. To capture the energy of the wind and sun, wind and solar farms are being created all over the world. However, these farms are prone to numerous maintenance problems with components, including gearboxes, bearings, and hydraulics These problems cause these farms to produce less energy, prolong downtime, and lower their profitability. They may increase the expense of upkeep. So for the required maintainance of these wind turbines and solar farms we have praposed an edge device.The purpose of the idea is to create an edge device that uses embedded sensors to gather data from these wind turbines and solar farms in order to provide early maintenance predictions. The edge device comprises of two distinct units that are utilisedindividually in solar farms and wind turbines. The edge gadget takes into account several aspects of wind and solar farms.
CN109154281B: The present disclosure relates to a system and method for predicting a field level power output of a wind farm having a plurality of wind turbines. The method includes collecting actual operational data and/or site information for the wind farm. The method also includes projecting operational data for the wind farm over a future time period. Further, the method includes generating a model-based power output prediction based on the actual operating data, the predicted operating data, and/or the field information. Further, the method includes measuring real-time operational data from the wind farm and adjusting the power output prediction based on the measured real-time operational data. Accordingly, the method further includes predicting a field level power output of the wind farm based on the adjusted power output prediction.
US11521381B2: A method for managing an irrigation system by generating a multi-dimensional model of an environment of the irrigation system; determining irrigation system control options based on the model, a current state of the irrigation system and the environment of the irrigation system; analyzing water spray pattern, wind speed and weather parameters, and beamforming water spray to reach edges of the spray pattern to water a predetermined area; with a drone, inspecting plants or crops for a problem; and controlling the irrigation system to respond to the problem.
None of the prior art indicate above either alone or in combination with one another disclose what the present invention has disclosed. Present invention is multiple sets of sensors that are used for monitoring different factors to check the health of wind turbines and solar plants. We are proposing a central controlling unit to check control over one place and can gather data on all the edge devices within the central database. We are predicting the maintenance of both wind and solar farms using different factors by IoT and machine learning.
SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention. This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
Since the Industrial Revolution, electricity has been produced and used to power houses, vehicles, and other devices using fossil fuels like coal, oil, or natural gas. These fossil fuels and wind and solar energy differ from one other in a significant way. The goal of renewable energy is to offer a more environmentally friendly alternative energy source. To capture the energy of renewable resources like wind and sun, solar and wind farms are being built all over the world. However, these farms are also susceptible to failure or problems with energy throughput, which reduce their energy production. This invention addresses a number of maintenance concerns with wind turbines and solar farms, including problems with bearings, gearboxes, hydraulics, and many other parts. These problems result in a decrease in the amount of energy produced by these farms, lower profitability, and, if not addressed promptly, a rise in maintenance costs.
BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:
The edge device consists of two units for Wind Turbines (Figure 1) and Solar Farms (Figure 2), respectively. The units designed for Wind Turbines consist of Accelerometers (102), Pressure Sensors(104), Temperature Sensors (106), Blade Deformation Sensors(108), and Oil Sensors(110), along with a Central Computing Unit (100), which also responsible for measuring the Power Output and Efficiency of the turbine. It uses a Relay Unit(114) to transmit or upload the collected data to the database. A Power Source(112) is used to power all the components. Oil Sensors comprise Oil Pressure Sensors, Oil Temperature Sensors, and Oil Level Sensors. These identify potential issues with gearboxes, hydraulics systems, and bearings. String Gauges, Accelerometers, and Laser-based Systems are used as Blade Deformation Sensors to identify blade structure and root attachment issues. The units designed for Solar Farms (Figure 2) consist of Photovoltaic(PV) String Monitors (102), Weather Sensors(104), Inclination Sensors(106), Current and Voltage Sensors(108), and Vibration Sensors(110) along with Computing Unit(100). It uses a Relay Unit(114) to transmit or upload the collected data to the database. A Power Source(112) is used to power all the components. At the time of deployment, one of the units is configured as the Central Control Unit (Figure 3) for the Farms. The Central Control Unit collects data from all the other units in the farm and uploads the data to the Central Database. The data collected from the sensors is then analyzed using machine learning algorithms to identify patterns and predict when maintenance is likely needed. The data and results of the Machine Learning algorithms are displayed to the enduser and stored in the database.
The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.
DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms “a",” “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises,” “comprising,” “includes” and/or “including,” when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
In addition, the descriptions of "first", "second", “third”, and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
It should be noted that the description merely illustrates the principles of the present subject matter. It will thus be appreciated that those skilled in the art will be able to devise various arrangements that, although not explicitly described herein, embody the principles of the present subject matter and are included within its scope.
Since the Industrial Revolution, electricity has been produced and used to power houses, vehicles, and other devices using fossil fuels like coal, oil, or natural gas. These fossil fuels and wind and solar energy differ from one other in a significant way. Renewable energy aims to offer a more environmentally friendly alternative energy source. To capture the energy of renewable resources like wind and sun, solar and wind farms are being built all over the world. However, these farms are also susceptible to failure or problems with energy throughput, which reduce their energy production. This invention addresses a number of maintenance concerns with wind turbines and solar farms, including issues with bearings, gearboxes, hydraulics, and many other parts. These problems result in a decrease in the amount of energy produced by these farms, lower profitability, and, if not addressed promptly, a rise in maintenance costs.
ADVANTAGES OF THE INVENTION:
• This invention reduces the downtime for wind turbines and solar farms.
• This invention monitors and increases the efficiency of wind and solar farms.
• This invention increases profitability and reduces the cost of maintenance by early detection of faulty components.
• It reduces the failure rate of components.
• It increases the reliability of wind and solar farms.
, Claims:We Claim:
1. Predictive maintenance of wind and solar farms using IoT and machine learning systemscomprises edge devices for monitoring and maintenance of wind and solar farms.
2. The system is claimed in claim 1, consisting of accelerometers, pressure sensors, temperature sensors, vibration sensors, blade deformation sensors, and oil sensors for wind turbines.
3. The system is claimed in claim 1, consisting of PV string monitors, weather sensors, inclination sensors, current and voltage sensors, and vibration sensors for solar farms.
4. The system is claimed in claim 1, wherein itreduces the failure rate of components and the cost of maintenance by early detection of faulty components.
5. The system is claimed in claim 1, wherein itincreases the efficiency, reliability, and profitability of wind and solar farms.