A handheld or mountable air measuring device includes a sensor assembly with sensors that measure airspeed simultaneously in two directions that are perpendicular to each other. The device includes a data protocol conversion board allowing the communication between the sensor assembly and a smart device included with or associated with the device. The smart device receives the airspeed data. The smart device includes a user interface that includes a map or layout of the environment within which the device is used. The data is displayed on the smart device on the map. The data can be processed locally or transmitted to a remote location for processing. One or more dashboards are generated from the data and accessible by the smart device or another computing device.

An equipment regulation method is disclosed. The equipment regulation method includes: collecting first environmental data of current environment in a space; determining an environment scene state of the current environment in the space according to the first environmental data; and controlling one or more equipment in the space according to the environment scene state of the space. An equipment regulation device is further provided.

Embodiments include apparatus and methods for modeling air flow from flight responses in aerial vehicles. Sensor data is received for aerial vehicles in a geographic area. The pose (e.g., roll, pitch, and yaw) of the aerial vehicles is calculated from the sensor data. One or more wind vectors are calculated based, at least in part, on the pose. An air flow model is generated from the wind vectors.

This disclosure relates to a system for determining a distribution in a greenhouse of values of an environmental parameter. The system comprises one or more air flow sensors for measuring a magnitude and/or direction of air flow at first one or more positions in the greenhouse. The system further comprises one or more environmental sensors for measuring the environmental parameter at second one or more positions in the greenhouse. The system also comprises a data processing system that is configured to receive first signals from the one or more air flow sensors. The first signals are indicative of the respective magnitudes and/or directions of air flow at the respective first one or more positions in the greenhouse. The data processing system is also configured to receive second signals from the one or more environmental sensors. The second signals are indicative of the respective values of the environmental parameter at the respective second one or more positions in the greenhouse. The data processing system is also configured to determine, based on the first signals and based on the second signals, values of the environmental parameter at third one or more positions in the greenhouse thus determining the distribution in the greenhouse of values of the environmental parameter. Herein the third one or more positions are different from the second one or more positions. This disclosure further relates to a computer-implemented method for determining such distribution.

The present invention is a method of controlling a wind turbine by determining the wind speed in the plane of a rotor (PR) of a wind turbine (1), by measuring the rotational speed of the rotor, the angle of the blades and the generated power. The method according to the invention implements a dynamic wind turbine model, a dynamic wind model and an unscented Kalman filter.

A computer-implemented method, a system, and a computer program product for detecting objects are disclosed. The method can include receiving, by a computer communicatively connected to a plurality of anemometers positioned throughout the space, first sensor data from the plurality of anemometers, creating a baseline profile of airflow in the space based on the first sensor data, and receiving second sensor data from the plurality of anemometers at a different time than the first sensor data. The method can include comparing the second sensor data with the first sensor data to determine first different data, rendering, in response to determining that the second sensor data is different from the first sensor data, a representation of the object using the first different data and first location data related to the first different data, and calculating a vector associated with the object using the first different data and the first location data.

Various sensors, including particulate matter sensors, are described. One particulate matter sensor includes a self-mixing interferometry sensor and a set of one or more optical elements. The set of one or more optical elements is positioned to receive an optical emission of the self-mixing interferometry sensor, split the optical emission into multiple beams, and direct each beam of the multiple beams in a different direction. The self-mixing interferometry sensor is configured to generate particle speed information for particles passing through respective measurement regions of the multiple beams.

A fluid-flow measuring apparatus is made of an enclosure housing that supports a plurality of flow-receiving tubes, each one of which has a plurality of apertures the either face substantially towards the source of fluid flow or away therefrom, a dispersing blade with a surface located in a plane that is parallel to a plane that is tangent to the surface of at least one of the plurality of flow-receiving tubes, a hub intersecting at least one of the plurality of flow-receiving tubes, and a facilitator structure that separates at least two of the plurality of flow-receiving tubes.

A flow field measurement device and a method for a scale model of a natural gas hydrate reservoir are provided. The measurement device includes non-central vertical well pressure sensors, non-central vertical well outlet valves, communicating vessel valves, differential pressure sensors, a communicating vessel, a central vertical well outlet valve, and a central vertical well pressure sensor. By providing differential pressure sensors, between a measuring point of the central vertical well and a measuring point of each of the non-central vertical wells, to measure pressure differences, the flow field measurement device enables a reasonable distribution of a three-dimensional space inside the reactor to analyze gas-liquid flow trends in the reactor with a simulated flow field. Determining whether to turn on the differential pressure sensors according to a predetermination based on a feedback from the pressure sensors, allows flow field measurements in the reactor under both high and low pressure differences.

A synchronous measurement system for a velocity and a temperature of an engine plume flow field is provided. The system includes multiple mid infrared lasers, a signal generator, two optical fiber amplifiers, two groups of optical fiber couplers, a photoelectric detector, a data acquisition device, and a host. The four mid infrared lasers are divided into two groups, one group is configured to emit two beams of first mid infrared lasers, and the other group to emit two beams of second mid infrared lasers. Each group of optical fiber couplers is arranged at an outlet of an engine through a mounting frame which are perpendicular to each other. The data acquisition device acquires photoelectric signals and processes them into corresponding spectral data. The host processes the spectral data to obtain the velocity and the temperature of the engine plume flow field.