Patent classifications
G01L3/26
Method and system for predicting energy consumption of a vehicle through application of a statistical model utilizing environmental and road condition information
A method for predicting energy consumption of a vehicle using a statistical model. The method includes (i) predicting a set of future input vectors for the vehicle at defined time intervals corresponding to a plurality of future points in time based on a subset of a plurality of reference input vectors previously generated at the defined time intervals at a plurality of previous points in time, (ii) predicting a change in the energy level of the vehicle using a processor and the statistical model, and (iii) providing results corresponding to the predicted change in the energy level to an output unit of the vehicle. Each reference input vector comprises a vehicle input vector and a database input vector associated with each point in time of the plurality of previous points in time. The database input vector for each defined time interval may be based on at least one of a plurality of environmental data and information about a road condition.
Method and system for predicting energy consumption of a vehicle through application of a statistical model utilizing environmental and road condition information
A method for predicting energy consumption of a vehicle using a statistical model. The method includes (i) predicting a set of future input vectors for the vehicle at defined time intervals corresponding to a plurality of future points in time based on a subset of a plurality of reference input vectors previously generated at the defined time intervals at a plurality of previous points in time, (ii) predicting a change in the energy level of the vehicle using a processor and the statistical model, and (iii) providing results corresponding to the predicted change in the energy level to an output unit of the vehicle. Each reference input vector comprises a vehicle input vector and a database input vector associated with each point in time of the plurality of previous points in time. The database input vector for each defined time interval may be based on at least one of a plurality of environmental data and information about a road condition.
System and method for evaluating atomization efficiency of wind-driven atomizer
A system and a method for evaluating atomization efficiency of a wind-driven atomizer. The system for evaluating atomization efficiency of a wind-driven atomizer comprises a detection platform, a wind tunnel mechanism and a traction measurement mechanism are arranged above the detection platform, the traction measurement mechanism is disposed beside the wind outlet end of the wind tunnel mechanism, an atomizer mechanism and an atomization measurement mechanism are sequentially disposed on the detection platform along the direction of a wind field provided by the wind tunnel mechanism, and the atomizer mechanism is connected with the traction measurement mechanism. The system and the method may effectively evaluate the atomization efficiency and provide quantitative evaluation indicators for the detection of working performance of the wind-driven atomizer, and has the advantages of convenient operation, accurate detection, precise measurement results, and high reliability of evaluation indicators.
System and method for evaluating atomization efficiency of wind-driven atomizer
A system and a method for evaluating atomization efficiency of a wind-driven atomizer. The system for evaluating atomization efficiency of a wind-driven atomizer comprises a detection platform, a wind tunnel mechanism and a traction measurement mechanism are arranged above the detection platform, the traction measurement mechanism is disposed beside the wind outlet end of the wind tunnel mechanism, an atomizer mechanism and an atomization measurement mechanism are sequentially disposed on the detection platform along the direction of a wind field provided by the wind tunnel mechanism, and the atomizer mechanism is connected with the traction measurement mechanism. The system and the method may effectively evaluate the atomization efficiency and provide quantitative evaluation indicators for the detection of working performance of the wind-driven atomizer, and has the advantages of convenient operation, accurate detection, precise measurement results, and high reliability of evaluation indicators.
SYSTEM AND METHOD FOR EVALUATING ATOMIZATION EFFICIENCY OF WIND-DRIVEN ATOMIZER
A system and a method for evaluating atomization efficiency of a wind-driven atomizer. The system for evaluating atomization efficiency of a wind-driven atomizer comprises a detection platform, a wind tunnel mechanism and a traction measurement mechanism are arranged above the detection platform, the traction measurement mechanism is disposed beside the wind outlet end of the wind tunnel mechanism, an atomizer mechanism and an atomization measurement mechanism are sequentially disposed on the detection platform along the direction of a wind field provided by the wind tunnel mechanism, and the atomizer mechanism is connected with the traction measurement mechanism. The system and the method may effectively evaluate the atomization efficiency and provide quantitative evaluation indicators for the detection of working performance of the wind-driven atomizer, and has the advantages of convenient operation, accurate detection, precise measurement results, and high reliability of evaluation indicators.
SYSTEM AND METHOD FOR EVALUATING ATOMIZATION EFFICIENCY OF WIND-DRIVEN ATOMIZER
A system and a method for evaluating atomization efficiency of a wind-driven atomizer. The system for evaluating atomization efficiency of a wind-driven atomizer comprises a detection platform, a wind tunnel mechanism and a traction measurement mechanism are arranged above the detection platform, the traction measurement mechanism is disposed beside the wind outlet end of the wind tunnel mechanism, an atomizer mechanism and an atomization measurement mechanism are sequentially disposed on the detection platform along the direction of a wind field provided by the wind tunnel mechanism, and the atomizer mechanism is connected with the traction measurement mechanism. The system and the method may effectively evaluate the atomization efficiency and provide quantitative evaluation indicators for the detection of working performance of the wind-driven atomizer, and has the advantages of convenient operation, accurate detection, precise measurement results, and high reliability of evaluation indicators.
Automated drilling methods and systems using real-time analysis of drill string dynamics
Methods and apparatus for identifying downhole dynamics in a drilling system are provided. Acceleration-detecting sensors are mounted at multiple locations near to a drill bit, such as at a drill collar. The sensors may be spaced 90° apart along a circumference of the drill collar. The sensors detect acceleration measurements in a plane orthogonal to the drill string's axis of rotation, with respect to a first reference frame that moves with the drill string. The acceleration measurements are received by a processor and processed to determine rotational and revolution positions of the drill string within the wellbore with respect to a static reference frame. Whirl dynamics may, in particular, be determined based on the results in real time.
Method for determining an efficiency and/or for calibrating a torque of a drivetrain, in particular of a wind turbine
A method for determining an efficiency and/or calibrating a torque of a drivetrain comprises two tests. The drivetrain has a motor-side end at a main shaft connectable to a motor and a generator-side end, with a generator arranged between the ends. In a first test, the motor-side end of the drivetrain is driven. A variable dependent on the main shaft torque is determined at the motor-side end of the drivetrain and an electrical power Pelec is determined at the generator-side end of the drivetrain. In a second test, the generator-side end of the drivetrain is driven and the variable dependent on the main shaft torque is determined at the motor-side end and the electrical power is determined at the generator-side end. An efficiency and/or calibration parameters is/are determined from the electrical power values and the variables dependent on the main shaft torque determined in the first test and second tests.
Method for determining an efficiency and/or for calibrating a torque of a drivetrain, in particular of a wind turbine
A method for determining an efficiency and/or calibrating a torque of a drivetrain comprises two tests. The drivetrain has a motor-side end at a main shaft connectable to a motor and a generator-side end, with a generator arranged between the ends. In a first test, the motor-side end of the drivetrain is driven. A variable dependent on the main shaft torque is determined at the motor-side end of the drivetrain and an electrical power Pelec is determined at the generator-side end of the drivetrain. In a second test, the generator-side end of the drivetrain is driven and the variable dependent on the main shaft torque is determined at the motor-side end and the electrical power is determined at the generator-side end. An efficiency and/or calibration parameters is/are determined from the electrical power values and the variables dependent on the main shaft torque determined in the first test and second tests.
Method and system for predicting energy consumption of a vehicle through application of a statistical model utilizing sensor and database data
A method for predicting energy consumption of a vehicle using a statistical model. The method includes (i) predicting a set of future input vectors for the vehicle at defined time intervals corresponding to a plurality of future points in time based on a subset of a plurality of reference input vectors previously generated at the defined time intervals at a plurality of previous points in time, (ii) predicting a change in the energy level of the vehicle at the future points in time using a processor and the statistical model, and (iii) providing results corresponding to the predicted change in the energy level to an output unit of the vehicle. The change in the energy level comprises a function of corresponding future input vectors and an associated weighting vector. The change in the energy level is predicted based on a regression analysis of the energy level associated with each of the reference input vectors.