To obtain an appropriate evaluation value in an acoustic quality evaluation by a conversational test. An acoustic quality evaluation apparatus 3 evaluates the acoustic quality of a call performed between a near-end terminal 1 and a far-end terminal 2 via a voice communication network 4. An evaluation value presenting unit 31 displays, on a display unit 13, evaluation categories obtained by classifying each of a plurality of evaluation viewpoints into a predetermined number of levels. An input unit 14 transmits the evaluation category selected by the evaluator for each of the evaluation viewpoints, to an evaluation value determination unit 32. The evaluation value determination unit 32 determines the lowest evaluation value among evaluation values assigned to the evaluation category received from the input unit 14 as a subjective evaluation value for acoustic quality.

A method for measuring precipitation. The method includes a read-in step, a detection step and a determination step. In the read-in step, data packets of at least one ultrasonic sensor are read in. Excitations detected by the ultrasonic sensor within a measuring time window are mapped in a data packet. The excitations are mapped as time values and intensity values. The time value represents a detection point in time of an excitation. The intensity value represents an amplitude of the excitation. In the detection step, excitations are detected as drop events. An excitation is detected as a drop event induced by a pulse of an impacting drop if the time value and/or the intensity value of the excitation satisfies at least one characteristic of a drop event. In the determination step, a precipitation intensity is determined, using a number of drop events detected per time unit.

A wind flow sensing system for determining a turbulence of wind flow at a set of different altitudes above a terrain is provided. The wind flow sensing system comprises an input interface configured to receive a set of measurements of radial velocities at line-of-site points above the terrain for each of the altitudes for a set of time steps, and a processor configured to estimate velocity fields for each of the altitudes based on data assimilation of the velocity fields, estimate unbiased horizontal velocities at each of the altitudes and for each time step, determine an average of the unbiased horizontal velocities for a period of time including the set of time steps, and determine, at each of the altitudes, a turbulence based on the unbiased horizontal velocities for each time step and the average of the unbiased horizontal velocity.

A wind flow sensing system for determining wind flow at a set of different altitudes above a terrain is provided, The wind flow sensing system comprises an input interface configured to receive a set of measurements of radial velocities at line-of-site points above the terrain for each of the altitudes, and a processor configured to estimate velocity fields for each of the altitudes based on data assimilation of the velocity fields above an approximation of the shape of the terrain with a set of one or multiple convex shapes to fit the measurements of radial velocities and estimate horizontal velocities at each of the altitudes as a horizontal projection of the corresponding radial velocities corrected with corresponding horizontal derivatives of vertical velocities of the estimated velocity fields. The wind flow sensing system further comprises an output interface configured to render the estimated horizontal velocities at each of the altitudes.

This invention relates to a method of reducing error in a SODAR system adapted to locate discontinuities in the atmosphere over a range extending away from an acoustic transmitter and receiver, the method comprising the steps of: measuring wind to determine either a substantially upwind direction or a substantially downwind direction relative to the transmitter; transmitting one or more forward or reverse acoustic chirps in the substantially upwind or downwind direction; receiving one or more acoustic echoes of the transmitted chirps; and processing the acoustic echoes to provide an indication of the discontinuities in the atmosphere over the range, thereby providing a wind shear profile.

A method for detecting a shadow condition from a wind turbine and a system for detecting a shadow condition are provided. An atmospheric condition detected from an atmospheric condition detector is compared to a threshold. From the comparison a determination is made that the atmospheric condition is shadow producing. The shadow condition is detected using the determination.

A wind flow sensing system for determining a turbulence of wind flow at a set of different altitudes above a terrain is provided. The wind flow sensing system comprises an input interface configured to receive a set of measurements of radial velocities at line-of-site points above the terrain for each of the altitudes for a set of time steps, and a processor configured to estimate velocity fields for each of the altitudes based on data assimilation of the velocity fields, estimate unbiased horizontal velocities at each of the altitudes and for each time step, determine an average of the unbiased horizontal velocities for a period of time including the set of time steps, and determine, at each of the altitudes, a turbulence based on the unbiased horizontal velocities for each time step and the average of the unbiased horizontal velocity.

A wind flow sensing system for determining wind flow at a set of different altitudes above a terrain is provided, The wind flow sensing system comprises an input interface configured to receive a set of measurements of radial velocities at line-of-site points above the terrain for each of the altitudes, and a processor configured to estimate velocity fields for each of the altitudes based on data assimilation of the velocity fields above an approximation of the shape of the terrain with a set of one or multiple convex shapes to fit the measurements of radial velocities and estimate horizontal velocities at each of the altitudes as a horizontal projection of the corresponding radial velocities corrected with corresponding horizontal derivatives of vertical velocities of the estimated velocity fields. The wind flow sensing system further comprises an output interface configured to render the estimated horizontal velocities at each of the altitudes.

The present invention provides a wind measurement apparatus based on 3D (three dimensional) non-orthogonal ultrasonic sensor array, the ultrasonic sensor array is composed of two group of ultrasonic sensors, which are centrosymmetrically located at opposite sides, and the angle formed by connecting any two ultrasonic sensors at a side to the symmetry point O is less than 90°, the arrangement of 3D non-orthogonal ultrasonic sensor array reduces the generation of turbulence, thus, the accurate wind speed and wind direction is obtained. In the mean time, the central channel is employed to obtain a reference wind speed v.sub.ref. Comparing the speed component v.sub.central along central channel of the wind under measurement with the reference wind speed v.sub.ref, if the difference is less than a present threshold, then computing module outputs the measurement results, or discards them, thus the wind measurement accuracy is further improved.

The technology relates to determining general weather conditions affecting the roadway around a vehicle, and how such conditions may impact driving and route planning for the vehicle when operating in an autonomous mode. For instance, the on-board sensor system may detect whether the road is generally icy as opposed to a small ice patch on a specific portion of the road surface. The system may also evaluate specific driving actions taken by the vehicle and/or other nearby vehicles. Based on such information, the vehicle's control system is able to use the resultant information to select an appropriate braking level or braking strategy. As a result, the system can detect and respond to different levels of adverse weather conditions. The on-board computer system may share road condition information with nearby vehicles and with remote assistance, so that it may be employed with broader fleet planning operations.