2428results about "Indication/recording movement" patented technology

A system for receiving and temporarily maintaining a delivery item and dynamically initiating a dispatched logistics operation for a storage receptacle. The storage receptacle has an entrance opening for receiving the delivery item, a temporary storage area for temporarily maintaining the delivery item once deposited with the storage receptacle, and a retrieval door providing selective access to the temporary storage area. The system includes a backend server that maintains a management profile related to the storage receptacle, a bridge node mounted to the storage receptacle, and a wireless accessory sensor node having at least one sensor that monitors for a change in state of the storage receptacle. The wireless accessory sensor node broadcasts an updated advertising signal. The bridge node transmits retrieved event information to the backend server at a reporting time, and the backend server initiates the dispatched logistics operation from comparing the retrieved event information to location information.

An enhanced multi-compartment connected logistics receptacle system includes a storage receptacle, a bridge node, and wireless accessory sensor node with a plurality of sensors. A first subset of the sensors is disposed relative to a first monitored receptacle compartment and a second subset of the sensors is disposed relative to a second monitored receptacle compartment. The plurality of sensors monitor for a change in state of the storage receptacle. The wireless accessory sensor node detects the storage receptacle's state change based upon sensor data and broadcasts a signal with a flag set indicating there is event information available for upload. The bridge node detects the flag set, retrieves the event information available for upload from the wireless accessory sensor node, and transmits the retrieved event information to a backend server to cause the backend server to initiate a dispatched logistics operation related to the storage receptacle.

The invention provides a wind turbine generator array wake flow management method and system for Doppler laser wind measurement, and relates to the technical field of laser, and the method comprises the steps: collecting the real-time wind speed data, wind direction data and turbulence intensity data of each generator in the front and back direction through deploying a Doppler laser radar in a wind turbine generator array; establishing a wake flow influence model containing a wake flow influence coefficient, an attenuation coefficient and a diffusion coefficient based on the data, and calculating to obtain a wake flow influence range, loss power and a recovery distance; according to the method, the wind turbine generator array is cooperatively controlled, and the power generation efficiency of the wind turbine generator array is optimized by adjusting the yaw angle or the pitch angle of the upstream unit and the rotating speed of each unit. The wind speed data acquisition precision of the wind field is improved, the wake flow influence evaluation accuracy is enhanced, and the overall power generation efficiency of the wind field is remarkably improved.

A centrally managed system for tuning a plurality of enhanced node-based logistics receptacles includes a backend server, a first enhanced node-based logistics receptacles, and a second node-based logistics receptacles. The backend server transmits a first setup message to a first bridge node, transmits a second setup message to a second bridge node, receives retrieved first event information from the first bridge node and retrieved second event information from the second bridge node, compares the retrieved first event information with a management profile and compares the retrieved second event information with the management profile, revises the management profile based upon the comparison of the retrieved first event information with the management profile and the comparison of the retrieved second event information with the management profile, and transmits an adjustment message that is based upon the revised management profile to the first bridge node.

An enhanced node-based connected logistics receptacle system includes a storage receptacle, a bridge node, and wireless accessory sensor node with at least one sensor monitoring for a change in state of the storage receptacle. The system's wireless accessory sensor node detects the storage receptacle's state change based upon sensor data, records timestamped information reflecting the detected change, and broadcasts a signal with a flag set indicating there is event information available for upload. The system's bridge node is operative to detect the flag set, retrieve the event information available for upload from the wireless accessory sensor node, and transmit a message related to the retrieved event information to a backend server to cause the backend server to initiate the dispatched logistics operation related to the storage receptacle.

An enhanced connected logistics receptacle system that selectively retrieves and reports event information to a backend server to initiate a dispatched logistics operation related to a delivery item. The system includes a storage receptacle for receiving the delivery item, a bridge node mounted to the storage receptacle, and a wireless accessory sensor node coupled to a plurality of sensors. The wireless accessory sensor node is operative to detect a change in state of the storage receptacle based upon sensor data, record timestamped information reflecting the detected change in state, and broadcast an updated advertising signal having a data available flag set within the updated advertising signal. The bridge node processor is operative to detect the data available flag, selectively retrieve event information from the wireless accessory sensor node, and transmit the retrieved event information to the backend server to cause the backend server to initiate the dispatched logistics operation.

A wind-finding method based on fusion of millimeter wave radar data and laser radar data, comprising: S1, acquiring wind-finding radar parameters; S2, on the basis of the wind-finding radar parameters, acquiring system state flag bits of wind-finding radars, determining whether the wind-finding radars work normally, and executing corresponding behaviors; S3, acquiring measurement data of the wind-finding radars at different heights, and caching related parameters; S4, by determining radial wind speed significant bits, selecting a corresponding wind-finding radar, and performing inversion on the wind speed; S5, fusing the wind speeds inverted by the millimeter wave wind-finding radar and the laser wind-finding radar to obtain a fused output wind speed; and S6, outputting a horizontal wind speed and a wind direction corresponding to each height level. According to the wind-finding method based on fusion of millimeter wave radar data and laser radar data, two types of wind-finding radar measurement data obtained simultaneously are fused, improving the data reliability of wind speed and wind direction measurement; and the advantages of different wind-finding radars are fully utilized, improving the overall measurement precision.

A motion stabilization device is provided for stabilization of a cosmetic applicator. The motion stabilization device includes a motion stabilizer handle configured to receive an adapter that holds a cosmetic applicator for a cosmetic application; and processing circuitry configured to detect a transition from a set up phase to an application phase of the cosmetic application process, and hold the cosmetic application in a set position when the transition is detected.

The invention relates to the field of wind speed and wind direction prediction, and discloses a wind speed and wind direction prediction method based on an improved TCN-LSTM, and the method comprises the following steps: collecting real-time monitoring multi-dimensional meteorological data of an offshore wind station, and carrying out the preprocessing; performing feature fusion and feature enhancement processing on the preprocessed data, wherein the feature enhancement processing comprises spatial feature extraction, tensor reconstruction and time sequence modeling; inputting the data after feature fusion and feature enhancement processing into a wind speed and wind direction prediction model based on an improved TCN-LSTM hybrid neural network, and predicting the wind speed and wind direction at a future moment; the wind speed and direction prediction model comprises a time-space separation TCN network, a multi-head self-attention mechanism, an adaptive Dropblock mechanism, an LSTM network and a Bayesian optimization module; according to the method disclosed by the invention, the accuracy, robustness and calculation efficiency of wind power prediction in a complex marine environment can be improved.

The invention relates to the technical field of wind power plant wake flow testing, and discloses a 3D scanning type laser radar planning method suitable for wind power plant wake flow testing, and the method comprises the steps: determining a wind power plant wake flow wind measurement region according to a wind measurement demand; determining a mainstream wind direction and a wind speed interval of the wind power plant wake flow wind measurement area based on the wind power plant wind resource data, and obtaining unit coordinates and unit parameters of wind turbine units in the wind power plant wake flow wind measurement area; according to the mainstream wind direction, the wind speed interval, the unit coordinates and the unit parameters, performing simulation calculation on the wake flow field of the wind turbine generator in the wake flow wind measurement area of the wind power plant to generate a wake flow area cloud picture; according to the method, the arrangement position of the 3D scanning type laser radar is determined based on the wake flow area cloud picture and the actual landform of the site, the situation that the arrangement position of the 3D scanning type laser radar is repeatedly adjusted for multiple times due to arrangement errors possibly occurring during arrangement according to experience can be avoided, and the wake flow testing efficiency is improved.

An all-terrain vehicle may include a frame and a plurality of ground-engaging members supporting the frame. The all-terrain vehicle may further include a powertrain assembly supported by the frame and shiftable transmission supported by the frame and operably coupled to the powertrain assembly. The all-terrain vehicle may also include a display, a back-up camera, and a controller supported by the frame. The controller may be configured to receive a signal from the shiftable transmission corresponding to the shiftable transmission being in a gear of the plurality of gears other than a reverse gear. Further, the controller may be configured to determine the all-terrain vehicle is moving backwards and send an activation signal to the back-up camera to display images of the back-up camera on the display.

The invention relates to the technical field of unmanned aerial vehicles, and discloses an unmanned aerial vehicle power control system based on fault detection. The system collects state data of each component of the unmanned aerial vehicle in real time, the data calculation module accurately calculates key parameters such as battery remaining capacity and energy, fault states such as over-charging, over-discharging and temperature abnormity of the battery are rapidly judged, and meanwhile, the rotating speed and the load condition of the motor are monitored; the power management module dynamically calculates residual flight time and an optimal power distribution strategy according to data monitored in real time, power output can be rapidly adjusted when abnormal conditions are detected, and the feedback control module controls the power distribution strategy according to the flight attitude angle of the unmanned aerial vehicle. The power output of the motor is adjusted in real time, the power management and fault detection capability of the unmanned aerial vehicle in a complex environment is remarkably improved, the problems of over-charging, over-discharging and the like of the battery are effectively avoided, and the safety and reliability of the unmanned aerial vehicle are enhanced.

An electronic watch includes a housing and a crown assembly including a rotatable actuation member. The rotatable actuation member includes a knob external to the housing and configured to receive a rotational input and a shaft assembly coupled to the knob and positioned at least partially within the housing, the shaft assembly defining a sensing surface configured to rotate in response to the rotational input. The electronic watch further includes an optical sensing system configured to detect the rotational input, the detecting including directing light onto the sensing surface, receiving reflected light from the sensing surface, and producing a signal corresponding to a rotational motion of the sensing surface, the signal based at least in part on an interference between the light directed onto the sensing surface and the reflected light.

An electronic watch may include a housing and a crown configured to receive a rotational input. The crown may include a knob external to the housing, a rotor coupled to the knob and configured to rotate in response to the rotational input, the rotor defining a recess extending about a circumference of the rotor, and a coating positioned in the recess and configured to reflect at least a portion of light incident on the coating. The electronic watch may further include an optical sensing system configured to detect the rotational input using the reflected portion of the light.

A system for self-executing enhanced interaction with a node-based logistics receptacle. The system includes a wireless accessory sensor node disposed on the node-based logistics receptacle to monitor storage receptacle components of the node-based logistics receptacle to generate sensor data. The system includes a bridge node disposed on the node-based logistics receptacle that uploads information related the sensor data, detects an external device separate from the node-based logistics receptacle, communicates with the external device to establish a smart contract based connection that provides an interaction privilege, interfaces with the external device according to the interaction privilege, and transmits an update message to the backend server that corresponds to at least a portion of the uploaded information related to the sensor data and information related to interfacing with the external device.

A dynamic learning server-based logistics system includes a node-based logistics receptacle operative to receive a delivery item as part of a logistics transaction and also includes a backend server maintaining a management profile related to operation of the node-based logistics receptacle. The node-based logistics receptacle includes a plurality of monitored receptacle components, a wireless accessory sensor node having a plurality of sensors, and a bridge node operative to retrieve event information from the wireless accessory sensor node. The backend server receives the retrieved event information, compares the retrieved event information with the management profile, identifies a threshold change condition from the comparison, dynamically revises the management profile when the threshold change condition is identified, and transmits an adjustment message to the bridge node. The adjustment message is based upon the revised management profile, and the adjustment message initiates a timing change to operation of the bridge node.

The invention relates to the technical field of underground water flow velocity and flow direction monitoring, and particularly discloses an underground water flow velocity and flow direction high-precision monitoring system and method based on a multi-parameter fusion technology. And carrying out space implicit association on the underground water temperature value so as to automatically obtain a short-term prediction value of the underground water flow direction according to the fine-grained matching interaction representation of the underground water pressure time sequence association feature and the underground water flow velocity time sequence association feature and the interaction response fusion representation between the underground water temperature value space implicit association feature. Therefore, by comprehensively analyzing multiple parameters such as underground water pressure, flow velocity and temperature, the complexity of the underground water system can be reflected more comprehensively, and the interaction among different parameters can be captured, so that the dynamic change of the underground water system can be better understood, and the prediction accuracy is improved.

The invention provides a mobile base station and unmanned aerial vehicle cooperative monitoring system and method, relates to the technical field of unmanned aerial vehicles, and aims to solve the problems that an existing unmanned aerial vehicle monitoring system is low in single unmanned aerial vehicle operation efficiency and cannot meet the requirement for simultaneous execution of multiple tasks, and a traditional monitoring base station is limited in coverage range. And the method is difficult to adapt to complex construction environments or large-range monitoring scenes. The system comprises a moving and carrying module, a positioning detection module, a data acquisition module, a data processing module and the like, high-precision positioning, rotary multi-position parking apron and multi-task unmanned aerial vehicle cooperative work capability are integrated, the unmanned aerial vehicle has task synchronous execution capability, a base station has autonomous moving capability, and the system is suitable for complex terrains and high-precision unmanned aerial vehicles. And an environment monitoring module and a solar charging system are integrated, so that the long-term operation capability is enhanced. Through hardware integration innovation, the cooperative operation efficiency of the multiple unmanned aerial vehicles is improved, efficient linkage of the base station and the unmanned aerial vehicles is achieved, and the intelligent level of environment monitoring and construction management is improved.

Methods and systems for supporting and / or assisting users' movements include detecting, by one or more sensors integrated with a garment having two or more controllable regions, movement of a particular part of a user's body enclosed within the garment, measuring, by the one or more sensors, data that indicates the detected movement of the particular part of the user's body, determining, based on the measured data, an activity classification that indicates a future movement of the particular part of the user's body, identifying, based on the determined activity classification and by the one or more processors, a support configuration for the garment, and dynamically adjusting, by the one or more processors, at least one of an effective tension and an effective stiffness of at least one of the two or more controllable regions of the garment to provide the identified support configuration of the garment.

A node-enabled logistics receptacle system with a deployable storage element for receiving and temporarily maintaining a delivery item. The system includes a storage receptacle with an entrance opening for receiving the delivery item and a deployable autonomous mobile container as the deployable storage element. A first node is mounted to the storage receptacle and includes a first node processor, a first node memory, a communication interface, and a plurality of sensors including an interaction sensor and a storage sensor. The first node detects a change in the state of the entrance opening, determines a current condition of what is presently maintained within the deployable autonomous mobile container, generates a deploy activation signal, and transmits the deploy activation signal to the deployable autonomous mobile container to initiate movement by the deployable autonomous mobile container from the host position within the storage receptacle to a position external to the storage receptacle.

The invention relates to a system and method for detection on a stationary surface. A method includes generating, by a first motion sensor of an electronic device, first sensor data over an acquisition time window, and determining whether the electronic device is located on a stationary surface, a semi-stationary surface, or in motion by processing the first sensor data to generate first process data. The method further includes determining whether the electronic device is in a steady state based on the first process data, the steady state indicating whether the electronic device is held on the stationary surface for a first predefined time. And, the method further includes stopping processing the first sensor data in response to determining that the electronic device has been in the steady state for a second predefined time.

The invention relates to the technical field of data processing, in particular to a building construction operation environment monitoring method and system based on the Internet of Things, and the method comprises the steps: collecting the particle concentration and wind direction data of a construction site area; according to the positions between different monitoring points and the particulate matter concentration, a flying dust influence area and a plurality of flying dust source points are obtained; further obtaining the influence degree of each monitoring point on each flying dust source point; based on the influence degree of the flying dust source points on the monitoring points, the particulate matter concentration of each flying dust source point is corrected, and then the flying dust contribution amount of each flying dust source point on each monitoring point is obtained; fitting weights of all the flying dust source points to all the monitoring points are obtained according to the flying dust contribution amount of the flying dust source points on the monitoring points, then data fitting is carried out, and the predicted particle concentration of each monitoring point is obtained; and monitoring the building construction pollution condition according to the predicted particle concentration. The influence caused by the external environment can be eliminated, and the environmental pollution caused by the construction site construction can be accurately monitored.

The invention relates to the technical field of laser radar meteorological detection, in particular to a wind field feature detection method and device based on a laser radar, and the method comprises the following steps: S1, controlling the laser radar to execute dynamic hierarchical scanning, and generating three-dimensional laser scanning data; s2, carrying out aerosol backscattering signal preprocessing on the three-dimensional laser scanning data; s3, extracting an aerosol motion vector of each range gate, and decomposing the aerosol motion vector into a horizontal wind field component and a vertical wind field component; s4, performing spatial gradient calculation to generate a spatial gradient distribution map; s5, respectively calculating a horizontal energy spectrum and a vertical energy spectrum; and S6, outputting wind field characteristic parameters. According to the invention, through fusion of the dynamic features of the laser radar point cloud, the wind shear space gradient and the energy spectrum analysis method, precise extraction of the turbulence intensity, the main energy scale and the three-dimensional vortex features is realized, and the accuracy and the spatial resolution of wind field structure identification are improved.

According to the method and device for determining the pose of the virtual object display unit and the electronic equipment, in the method for determining the pose of the virtual object display unit, the current pose of the virtual object display unit is determined according to the current pose of the vehicle body, and then the jitter parameter measured by the motion detection device is obtained; and according to the shaking parameter and the current pose of the virtual object display unit, determining the pose of the virtual object display unit at the display moment of the virtual object, thereby realizing that the virtual object displayed by the virtual object display unit can fit an actual scene and is not influenced by the bumping of a vehicle body to shake.

A wearable system for pedestrians / users is adapted to detect threats posed by, for example, approaching vehicles, bikers, and issue an alert. The wearable system may include an inertial measurement unit to measure the gait of the pedestrian and actively adjust alert generation thresholds to account for the noisy and large movements of the gait using present and past IMU data. The thresholds can be raised during active phases of the gait, and lowered in the quieter (i.e., less active) phases of the gait, keeping the range, and therefore time to react, relatively steady with respect to the pedestrian / user's motion. The alert generation threshold may be combined with the processed receiver data to determine threats and alert the pedestrian / user using any combination of haptic, audio, vibrational, or visual outputs.

A cosmetic securement device for stabilization of a cosmetic applicator, comprising a motion stabilizer handle; and an adapter coupled to a first end of the motion stabilizer handle; wherein the motion stabilizer handle includes at least one sensor configured to detect a movement caused by a user, circuitry configured to determine a compensation movement to offset the detected movement, and at least one motion generation device configured to control a motion of the cosmetic applicator according to the determined compensation movement, and wherein the adapter includes a cosmetic holder configured to hold a plurality of different types of cosmetic applicators, the cosmetic holder comprising a first arm and a second arm, the first arm and the second arm being connected at a hinge and configured to rotate around the hinge.

The invention discloses a bridge vortex vibration early warning method and system based on vortex field monitoring. The system comprises a wind field acquisition subsystem, a vorticity calculation and prediction subsystem and a vortex field analysis and early warning subsystem. The wind field acquisition subsystem is used for monitoring wind speeds and wind directions of different space points around the main beam in real time. And the vorticity calculation and prediction subsystem calculates the wind speed and wind direction space point data acquired by the wind field acquisition subsystem in real time to obtain the vorticity value around the main beam, and predicts the vorticity value at the future moment. And the vortex field analysis and early warning subsystem performs frequency domain analysis on a vorticity time history, monitors and predicts vortex intensity and vortex shedding frequency in real time, and gives an early warning before vortex vibration possibly occurs. The system can give an alarm in real time according to a vortex vibration mechanism and can play a role in early warning in advance.

The invention discloses a water quality data monitoring system and method applied to a shallow sea buoy, and relates to the technical field of seawater monitoring and repairing, and the system comprises a data acquisition module, a buoy adjustment module, a seawater monitoring module, a seawater analysis module and a real-time monitoring module, the data acquisition module is used for regularly acquiring water quality detection data transmitted by buoys at all point positions of the shallow sea, calculating water evaluation values according to the water quality detection data and then calculating abnormal values of all the water quality detection data based on the water evaluation values; the technical key points are as follows: during use, water quality detection data are analyzed, multiple items of data of monitored water quality are comprehensively analyzed to calculate water evaluation values, then an abnormal value between the water evaluation values between buoys is calculated by utilizing the principle that pollution diffusion needs a certain time, and the difference of seawater quality can be clearly and intuitively known through the abnormal value. Therefore, whether the seawater is polluted or not can be clearly known, and the method is relatively simple and has a good application prospect.

The invention discloses an integrated comprehensive actual measurement system for offshore platform floating support installation, and belongs to the technical field of offshore platform installation monitoring. The system at least comprises five subsystems including a marine environment monitoring system, a hull motion monitoring system, a fender load monitoring system, a DSU module separation monitoring system and an omnibearing video monitoring system, and an integrated comprehensive monitoring platform for managing the subsystems in a centralized manner. All the subsystems collect all-directional monitoring and module separation data in the floating support installation process through sensors and data transmission and transmit the data to the integrated comprehensive monitoring platform. The integrated comprehensive monitoring platform carries out unified coordination management to realize operation window decision, and a field surveying and mapping scheme is successfully guided to realize centimeter-level ship entry so as to complete offshore platform installation. According to the method, safe and reliable operation of the system in the floating support installation monitoring process is guaranteed, the floating support installation operation risk is greatly reduced, and successful installation of the offshore platform is powerfully guaranteed.