1190results about "Indication/recording movement" patented technology

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 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.

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 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.

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.

The invention discloses a PT symmetrical hot-pressing resistance MEMS wind speed and wind direction sensor. The sensor comprises four groups of PT symmetrical MEMS resonators which are orthogonally distributed and have hot-pressing resistance feedback; the PT symmetrical MEMS resonator comprises two cantilever beam resonators with completely same structures, a coupling spring beam connected with the two resonators, and a constant current source connected with one resonator, each cantilever resonator comprises two anchor areas, a wide beam connected with the anchor areas, a narrow beam with a piezoresistive effect, a warped thin plate structure and external electrodes located on the two sides of the thin plate structure. Wind speed and wind direction signals are converted into rigidity change of the resonator array through mechanical action by means of a warped thin plate structure, and the rigidity change enables the PT symmetrical MEMS system to deviate from an EP point, so that system frequency splitting is caused. As the frequency splitting quantity of the PT symmetric system is in direct proportion to the square root of the disturbance quantity, the wind speed and direction sensor can detect tiny wind speed signals, and has the advantages of very high sensitivity, simple process, high integration level and the like.

The invention provides an LSTM underwater robot modeling method based on TPE hyper-parameter optimization, and relates to the technical field of underwater robot modeling, and the method comprises the steps: carrying out the time sequence feature extraction through a memory unit comprising a forgetting gate, an input gate and an output gate, and predicting the state change amount delta Yt'at a t + 1 moment through an output layer; performing iterative optimization on the number of layers and the number of units of the LSTM network and training the model to obtain an optimized LSTM model; evaluating the optimized LSTM model through a multi-step cumulative prediction error, inputting an initial real state into the model to carry out T-step recursive prediction, updating a current state by utilizing a prediction state increment in each step, and finally calculating an average position error and an attitude error in a T-step window on a verification set; and selecting the hyper-parameter combination with the minimum comprehensive error of the verification set as a final model parameter, and completing the dynamic modeling of the underwater robot. According to the method, the problem that the model is inaccurate due to excessive parameterization in a nonlinear dynamic model can be solved.

The invention discloses a water environment pollution traceability system and method. The system comprises a multi-level monitoring module, a flow field reconstruction module, an inversion solving module, an intelligent identification module and a decision judgment module which are connected in sequence. The multi-level monitoring module acquires pollutant concentration and a three-dimensional flow field parameter time sequence in real time, and performs spatial interpolation and time filtering processing on flow field data; the flow field reconstruction module establishes a dynamic source-receptor response matrix according to the pollutant transmission track network; an inversion solving module calculates posterior probability distribution of the parameters; the intelligent identification module identifies the pollution source type through a pre-training classification model; and the decision judgment module comprehensively judges the effective pollution source according to the posterior probability confidence coefficient and the spatio-temporal evolution characteristics. According to the method, flow field reconstruction and probability inference technologies are fused, high-precision identification and parameter estimation of the dynamic pollution source of the water body are achieved, and the problems that in the prior art, mobile pollution sources cannot be effectively treated, and intermittent emission cannot be achieved are solved.

The invention relates to the technical field of path planning, in particular to a water conservancy unmanned aerial vehicle inspection process control system and method based on big data analysis. Performing path risk assessment based on a water surface anomaly prediction result and a weather anomaly analysis result, performing unmanned aerial vehicle flight anomaly analysis based on unmanned aerial vehicle operation condition data and a historical path risk analysis result, and performing path planning selection. According to the method, the path danger is quantitatively evaluated based on the evolution condition of the weather and the wave condition on the path in the flight process of the unmanned aerial vehicle, the safety of path selection is improved, the influence of the future wind power condition on the wave danger is analyzed in the evaluation process of the wave condition, and the evaluation accuracy is improved. Therefore, the future wave danger is quantitatively predicted and evaluated, and the evaluation accuracy of the path danger is improved.

The invention discloses a low-power-consumption winch sensor based on a tunneling magnetoresistance effect. The low-power-consumption winch sensor comprises a measurement module, a signal conversion unit, a shell, a mandrel, a magnetic rotary disc and a detection assembly. The magnetic turntable and the mandrel are connected and rotate synchronously, the detection assembly comprises a TMR sensing element and N magnets, and the magnetic turntable is provided with mounting blind holes for embedding the magnets; the TMR sensing element is arranged on the shell and comprises a mounting plate and two sensing units, the magnetic domain directions of the two sensing units are perpendicular to the rotation axis, magnetic resistance signals of the two sensing units are converted through the signal conversion unit and input into the measuring module, the horizontal distance between the centers of the two sensing units and the magnet and the rotation axis is R, and the center distance L of the two sensing units is smaller than R * sin (180 degrees / N); the sensor is based on the TMR tunneling magnetoresistance effect, is high in detection sensitivity and low in energy consumption, outputs square wave signals with phase differences, can be used for a measurement module to accurately analyze and calculate the rotating speed and the rotating direction of a winch roller, is simple in overall structure, small in radial size and easy to install, and the installation precision is controlled.

The invention discloses a three-dimensional magnetic field bionic seal beard sensor based on a Hall effect. The sensor comprises a mounting frame, a Hall chip, a universal joint component, bionic beards and magnets, wherein the Hall chip and the universal joint component are arranged on the mounting frame; the bionic beards are arranged on the universal joint component; the universal joint component is used for enabling the bionic beard to swing in a first direction and a second direction in a reference plane perpendicular to the center line of the bionic beard after the bionic beard is subjected to the acting force of fluid, the first direction is perpendicular to the second direction, and the universal joint component enables the bionic beard to reset after the bionic beard is not subjected to the acting force of the fluid; the magnetic flux density of the magnets changes along with the movement of the bionic beards; the Hall chip is used for sensing magnetic field information. While the characteristics of strong environmental adaptability and high sensitivity of a conventional bionic beard sensor are reserved, the limitation of one-way sensing of the sensor is broken through, the synchronous detection capability of the flow velocity, the flow direction and the vortex street frequency is improved, and the application range of the sensor in a complex underwater scene is widened.

The invention belongs to the technical field of underwater sea condition data monitoring, and discloses an underwater online intelligent monitoring analysis system and method. According to the method, an acoustic Doppler current profiler (ADCP) carried by a seabed observation system is used for carrying out seabed flow measurement, the speed and direction of water flow are obtained, and a binocular camera carried by the seabed observation system is used for determining the size of underwater organisms; performing image mode recognition and classification on the underwater creatures by using an image recognition algorithm in the underwater observation system, and recognizing the types and the number of the underwater creatures; transmitting data to a communication module of the virtual anchor system unmanned platform by using the armored cable, performing error control on the data transmitted by the armored cable, and detecting and correcting error information of the data in the transmission process; and judging whether the returned information is successful or not through an information transmission control method in the underwater observation system. According to the invention, the method can achieve the image recognition of Branchiostoma under a complex sea condition, and improves the operation efficiency and safety.

A force and / or motion measurement system is disclosed herein. In one or more embodiments, the force and / or motion measurement system includes at least one kinematic sensor device configured to detect a position and / or movement of a body portion of a person, the at least one kinematic sensor device being mounted in a floor of a room or in a force measurement assembly; and at least one data processing device operatively coupled to the at least one kinematic sensor device, the at least one data processing device including at least one hardware component storing computer executable instructions, and the at least one data processing device configured to execute the computer executable instructions. The computer executable instructions comprise instructions for determining a position and / or movement of the person based upon output data from the at least one kinematic sensor device.

The invention provides a multifunctional tactile sensor based on a double-taper-region plastic optical fiber and a preparation method thereof.According to the sensor, the middle of a PMMA plastic optical fiber is made into a taper through the fused biconical taper technology, and after tapering, an input optical fiber, a first taper region, a micro optical fiber, a second taper region and an output optical fiber which are sequentially connected from left to right are formed; a coating layer of polyester resin NOA 144 is arranged on the periphery of the second conical region; and the peripheries of the first conical region, the micro optical fiber and the second conical region are also packaged in an elastic cladding of PDMS (Polydimethylsiloxane). According to the sensor, force measurement and sliding direction identification can be carried out, the square distribution of a sensing area can be directly changed through the diameter of the micro optical fiber and the length of the conical area, and therefore the sensitivity of the sensor and the accuracy of pressure measurement are remarkably influenced. And the cone region is obtained by adopting a fused biconical taper technology, the manufacturing process is simple and convenient, the manufacturing cost is low, the device integration degree is relatively high, the stability is strong, and the device has relatively great competitiveness and application prospects in the fields of tactile sensing, medical operation and the like.

A system may include a static air temperature probe attached to an aircraft, an electronic flight instrument system, and a processor. The processor may be configured to measure a static air temperature at the aircraft using the static air temperature probe. The processor may further be configured to calculate a Mach number associated with the aircraft based at least partially on the static air temperature. The processor may also be configured to calculate a true air speed of the aircraft based on the Mach number. The processor may display an indication of the true air speed using the electronic flight instrument system. The processor may also be configured to calculate the speed of sound based at least partially on the static air temperature.

The utility model provides a wind direction and wind speed measuring device and a steel structure tower device. The wind direction and wind speed measuring device comprises a sampling main body, the sampling main body comprises a plurality of air inlets and at least two air channels, the plurality of air inlets are correspondingly communicated with the at least two air channels, openings of the plurality of air inlets face at least two different directions, and the at least two air channels are mutually independent and extend in different directions; the first temperature detection assemblies are arranged in the air ducts and used for collecting temperature information of at least two different positions in the extending direction of the air ducts. The second temperature detection assembly is arranged inside or outside the air duct and used for collecting environment temperature information. The humidity detection assembly is arranged inside or outside the air duct and used for collecting environment humidity information. The controller is used for calculating wind power data according to the temperature information and the humidity information, and the wind power data comprises wind direction and wind speed. The 360-degree omni-directional wind speed and wind direction measuring device is beneficial to measuring 360-degree omni-directional wind speed and wind direction, wide in measuring range, high in reliability, easy to maintain and high in measuring precision.

An exemplary hearing device may be configured to be inserted at least partially within an ear canal of a user of the hearing device. The hearing device may include a first temperature sensor configured to detect ear canal temperature within the ear canal, a second temperature sensor configured to detect ambient temperature outside of the ear canal, and a processor. The processor may be configured to determine a work status of the user indicative of an activity level of the user and determine a core body temperature of the user based on the ear canal temperature detected by the first temperature sensor, the ambient temperature detected by the second temperature sensor, and the work status of the user.

An atmospheric environment detection device disclosed by the present invention comprises a detection instrument, a loading box, a hydraulic lifting rod and a chassis, a lifting baffle plate and a micro air pump are arranged in the loading box, a transmission part is arranged at the bottom end of the lifting baffle plate, gear racks are arranged at the upper end and the lower end of the detection instrument, and a protection plate is arranged at the bottom end of the micro air pump. A trigger gear is arranged on one side of the micro air pump, and a moving part is arranged between the trigger gear and the protection plate. The lifting shielding plate and the micro air pump are additionally arranged on the loading box, when a detection instrument is inserted and pulled out, the internal rotating belt and the conveying belt can be driven to rotate, and the lifting shielding plate shields internal contacts and shields an air outlet of the micro air pump; the detachable conical inserting rods, the expansion bolt holes and the magnetic suction connectors at the upper bottom ends of the multiple fixing bases can adapt to fixation of the whole device in soft soil, cement ground and vehicle-mounted transportation, and the adaptability of the device is improved.

A sensing device (100) for collecting a motion signal of a target object and a wearable device comprising the sensing device (100). The sensing device (100) comprises a first sensing unit (120) arranged on a first side face (110-a), facing a target object, of a flexible substrate (110). An electric signal generated by a first sensing unit (120) is conducted to a target position (A) through a first conductive channel (111) arranged on a flexible substrate (110), and the target position (A) is farther away from a target object relative to a first side face (110-a), so that the connection position of the sensing device (100) and an external circuit can be away from the first side face (110-a). The first side surface (110-a), facing the target object, of the sensing device (100) can be kept flat, and non-uniform deformation of the first sensing unit (120) of the first side surface (110-a) is avoided, so that the working stability of the sensing device (100) is improved. Meanwhile, the first side surface (110-a) is kept flat, so that the foreign body sensation when the sensing device (100) is worn can be reduced, and the wearing comfort of the sensing device (100) is improved.

A system and method are for authentication and a system and method are for authentication based personal service.

The disclosure provides a dielectric sensor capable of identifying a resin flow direction and a preparation method and an application thereof are provided. The dielectric sensor includes a bottom electrode being a first electrical conductor in a shape of a continuous pattern and a top electrode located within an outer contour of the continuous pattern and divided into an upper, a lower, a left and a right regions, provided with second electrical conductors arranged at intervals in the same region. A first wire connects the second electrical conductors in the left and right regions to form a first signal channel, and a second wire connects the second electrical conductors in the upper and lower regions to form a second signal channel.

There is provided a sensor unit for a fastener assembly, the sensor unit comprising a mounting arranged to rigidly attach the sensor unit to, or adjacent to, a fastener assembly; and a sensor, that is an optical flow sensor or an inductive sensor, configured to sense movement of the fastener assembly. The sensor unit may comprise a processor arranged to process the output of the sensor to detect loosening of the fastener assembly and to output a signal representing the status of the fastener assembly. The sensor unit may comprise a wireless communication unit arranged to communicate the signal.

The invention discloses a non-contact method for measuring a three-dimensional flow velocity field in a pipeline based on acoustic Doppler, and the method comprises the steps: transmitting a focused sound beam into the pipeline, receiving an echo signal reflected by a scatterer in fluid, and generating a Doppler echo signal set covering different angles and depth positions; performing pulse compression and time-frequency analysis on the Doppler echo signal set, and calculating the sight flow velocity component of each point along the sound beam direction; calculating a three-dimensional flow velocity vector of each sampling point based on the coordinate position of each space sampling point and the corresponding sight line flow velocity component, and realizing decoupling of the flow velocity direction and size; according to the spatial distribution of the three-dimensional flow velocity vector on the section of the pipeline, a three-dimensional flow velocity field model in the pipeline is generated through interpolation fitting, and section flow and flow state characteristic parameters are calculated according to the model. According to the embodiment of the invention, the limitation that only two-dimensional or one-dimensional flow velocity can be measured in a traditional method can be broken through, and the spatial resolution and measurement precision of flow velocity field reconstruction in a complex flow state are improved.

Techniques disclosed herein relate generally to monitoring and tracking food intake events or other behaviors. In some examples, the techniques involve detecting, based on at least one of user input or sensor input from a first set of one or more sensors, a start of a food intake event; activating, in response to detecting the start of the food intake event, a second set of one or more sensors for tracking the food intake event; and determining, based on at least sensor data from the second set of one or more sensors, one or more event-specific parameters for the food intake event.

The invention provides a visual monitoring method and device for power transmission line inspection, and relates to the technical field of power transmission line detection, and the method comprises the steps: controlling a preset crawling visual device to detect a preset power transmission line, and obtaining the environment wind parameters of the power transmission line; the environment wind parameters comprise environment wind direction parameters and environment wind speed parameters; analyzing the environmental wind parameters to determine actual influence wind parameters and reference critical wind parameters; judging whether the actual influence wind parameters meet the requirements of the reference critical wind parameters or not; if yes, continuing to control the crawling visualization device to detect the power transmission line, and continuing to obtain the environmental wind parameters of the power transmission line for cyclic judgment; if not, acquiring equipment wind receiving parameters of the crawling visualization device; analyzing the equipment wind receiving parameters to determine equipment adjustment parameters; and controlling the crawling visualization device to adjust the attitude according to the equipment adjustment parameters. The method has the effect of improving the detection accuracy of the power transmission line.

A flow detection device (10) and method for detecting fluid flow in a pipe system, comprising: a heating element (103) for supplying heat into the pipe system, a first temperature sensor (104a) and a second temperature sensor (104b) positioned either side of the heating element (103), and a processor (101), wherein: the heating element (103) and the first and second temperature sensors (104a, 104b) are configured to be mounted to an outer surface of a pipe contained in the pipe system, with the heating element (103), the first temperature sensor (104a) and the second temperature sensor (104b) being in thermal contact with the outer surface of the pipe, and the processor (101) is configured to detect fluid flow within the pipe system by monitoring the temperature difference between the first and second temperature sensors (104a, 104b) over a predetermined period of time.