235 results about "Body sensors" patented technology

The invention discloses a large-scale ocean data buoy safety monitoring system and method based on multi-source fusion, and relates to the technical field of buoy monitoring. Buoy equipment operation parameters, ocean environment data and surrounding ship dynamic information are synchronously acquired through a buoy body sensor group, an environment monitoring unit and a ship identification module; time-frequency domain feature extraction and anomaly detection are carried out on the collected data, and a collision risk dynamic evaluation model is constructed in combination with ship trajectory prediction; establishing an equipment health, environment interference and ship threat fusion evaluation system, and performing risk grade division in combination with real-time monitoring data and a historical database; and generating early warning information based on the risk level, and automatically triggering an equipment maintenance instruction and a ship collision avoidance alarm. The method adapts to ship variable-speed steering scenes, threshold values are dynamically adjusted, and adaptability and analysis accuracy of the system are improved.

The invention discloses a new energy automobile body frame lightweight design method based on digital twinning, and relates to the technical field of new energy automobile body structure design and computer-aided engineering simulation, and the method comprises the following steps: S1, building a digital twinning body connected with a physical automobile body sensing system; s2, a dynamic precision topology network module is used for dynamically dividing a simulation precision area of the vehicle body frame according to the mechanical energy transmission path and the real-time sensing data. According to the new energy automobile body frame lightweight design method based on digital twinning, intelligent allocation of computing resources is realized through a dynamic precision topology network, and the computing burden of multi-physics coupling simulation is effectively reduced while precise prediction of a key structure is ensured; the sharp contradiction among the model precision, the real-time response and the optimization efficiency is effectively solved, and effective closed-loop iteration of the lightweight design is achieved under the complex constraint condition.

The invention relates to the technical field of intelligent gateways, and discloses a multi-mode industrial Internet of Things intelligent gateway based on edge computing and an implementation method thereof, and the method comprises the steps: obtaining sensor data streams of a door magnetic sensor, a human body sensor, a temperature and humidity sensor and a smoke detector in an intelligent region; constructing a space-time fusion data matrix based on the sensor data stream; inputting the space-time fusion data matrix into an edge layer quantization neural network, a fog layer recurrent neural network and a cloud layer large model for distributed reasoning to obtain a reasoning result set; and performing priority queue scheduling and zero-copy transmission on emergency events, important events and conventional events in combination with the reasoning result set to generate a control instruction sequence, so that parallel operation of data acquisition and processing is realized, and the intelligent level, the response performance and the operation reliability of an intelligent regional Internet of Things system are improved.

A localization method and apparatus for use in memory parking, a device, and a medium. The method comprises: acquiring a pose of a vehicle relative to an initial position on the basis of a vehicle body sensor; on the basis of the pose of the vehicle, extracting perceptual semantic information of the surrounding of the vehicle at the current moment, and performing map-based matching with map semantic information of the surrounding of the vehicle to obtain pose differences between the perceptual semantic information and the map semantic information; and correcting the pose on the basis of the pose differences to obtain an accurate pose.

The invention relates to the technical field of mechanical arm control, in particular to a flexible mechanical arm control system which comprises a flexible mechanical arm body, a driving unit, a driving state sensing unit, an upper computer controller and an intelligent controller. The flexible mechanical arm body is formed by connecting a plurality of flexible cavity muscles and a plurality of connecting modules in series, and the clamping mechanism is installed at the front end of the flexible mechanical arm body; the driving unit is used for driving the flexible joint of the mechanical arm to move and deform by adjusting the air pressure and driving the clamping mechanism to act by adjusting the air pressure; the driving state sensing unit comprises a shape sensing unit, a tail end pose sensor and a driving state sensor; high-precision reconstruction of the full state of the mechanical arm is achieved, an intelligent control algorithm is combined, accurate trajectory tracking and point position control can be achieved, closed-loop control can be achieved only through a body sensor without depending on external visual equipment, and the applicability and reliability of different scenes are improved.

A cloud-based computer system for diagnosis of conditions to counteract adverse anatomical or medical effects of unnatural supination of subtalar joints by elevated shoe heels. The system includes smartphones or other mobile computer devices located proximate to a center of gravity of users during locomotion, sensor(s) located in a sole or removable sole insert of footwear of the users; sensor(s) located in the smartphones or mobile computer devices; a connection between the sensors and the smartphones or mobile computer devices to provide data between the sensors and the smartphones or mobile computer devices; and a connection between the smartphones or mobile computer devices and the cloud-based computer system to provide data between the smartphones or mobile computer devices and the cloud-based computer system. The sensors located in the soles or removable sole inserts of the footwear and the smartphones or mobile computer devices include a gyroscope and an accelerometer.

The invention discloses an intelligent home control system, which relates to the technical field of intelligent home and comprises an illumination sensor, an infrared human body sensor, an auxiliary sensor, an edge analysis module, an illumination controller and an illumination strategy optimization module. The multi-source sensing data is subjected to fusion analysis through an edge analysis module, so that accurate light control based on multi-condition judgment is realized; and the lighting strategy optimization module dynamically adjusts a logic weight or a threshold value based on the abnormal behavior characteristics of the user, so that the control strategy has an adaptive optimization capability, and the response accuracy, stability and individuation level of the system are remarkably improved.

The invention discloses a fan adaptive control method based on an AI large model, and relates to a new energy power generation intelligent control technology, and the method comprises the following steps: S1, synchronously collecting fan body sensor data, laser radar / ultrasonic environment sensing data and a power grid dispatching signal, and carrying out the time-space alignment processing of multi-source heterogeneous data; and S2, inputting the preprocessed feature data into a wind power basic model based on a deep learning architecture, wherein the model is pre-trained through cross-wind-field historical data and is adapted through target unit data. According to the fan adaptive control method based on the AI large model, by means of the powerful learning and analysis capacity of the AI large model, complex data laws in the fan operation process can be deeply excavated, the fan operation state and environment changes can be accurately sensed, adaptive control is achieved, frequent manual intervention is not needed, the fan operation automation degree is greatly improved, and the fan operation efficiency is improved. The power generation efficiency is effectively improved, the energy loss is reduced, and the fault probability is reduced.

Gesture-controlled virtual reality systems and methods of controlling the same are disclosed herein. An example apparatus includes an on-body sensor to output first signals associated with at least one of movement of a body part of a user or a position of the body part relative to a virtual object and an off-body sensor to output second signals associated with at least one of the movement or the position relative to the virtual object. The apparatus also includes at least one processor to generate gesture data based on at least one of the first or second signals, generate position data based on at least one of the first or second signals, determine an intended action of the user relative to the virtual object based on the position data and the gesture data, and generate an output of the virtual object in response to the intended action.

In one aspect, a multi modal body sensor monitoring and recording system includes a personal status monitor (PSM) that communicates user bio-sensor data to an SCP. The PSM includes a controller comprising a sensing face, an intermediary circuit, and a mounting face. The controller provides a sensor array of specified biosensors. The controller is mountable with an ECG patch. The PSM includes an ECG patch coupled with the controller. The controller is removably mounted via comprising a sensor patch comprising a flat piece of material with an array of sensors arranged on a sensing face of the sensor patch of the sensor patch that is designed with a receptacle to which the controller device is connected into the ECG patch. The ECG patch obtains an ECG data of the user that is passed to the controller. The controller electronically communicates the ECG data and the specified biosensor data to the PHI server. The PHI server queries one or more health provider records systems to obtain a set of electronic health records, of the user. The PHI server electronically communicates the set of electronic health records to a system control program (SCP) server. The SCP server uses the biosensor data collected by the PSM, along with the PHI from electronic health records, to construct a virtual model of an individual's quantifiable biological markers in real time.

The present invention relates to the technical field of eyewashers, specifically to an eyewasher equipped with a remote monitoring module for real-time water quality monitoring, comprising a bracket and an anti-slip device, an eyewash basin is provided on the surface of the bracket, an eyewash head is provided on the inner wall of the eyewash basin, a water inlet pipe is provided on one side of the bracket, a water level sensor is provided on the surface of the water inlet pipe, a control module is provided on the surface of the bracket, a human body sensor is provided on the surface of the bracket, an alarm is provided on the surface of the bracket, a spray head is provided on one side of the bracket, the output end of the human body sensor is electrically connected to the input end of the control module, and the output end of the water level sensor is electrically connected to the input end of the control module. The present invention, by providing an anti-slip device, is convenient for preventing the equipment from slipping off, can effectively prevent the phenomenon of the equipment spraying part from loosening due to long-term use, reduces the probability of the equipment falling off and being unable to continue to be used, and thus improves the overall stability of the equipment.

Gesture-controlled virtual reality systems and methods of controlling the same are disclosed herein. An example apparatus includes an on-body sensor to output first signals associated with at least one of movement of a body part of a user or a position of the body part relative to a virtual object and an off-body sensor to output second signals associated with at least one of the movement or the position relative to the virtual object. The apparatus also includes at least one processor to generate gesture data based on at least one of the first or second signals, generate position data based on at least one of the first or second signals, determine an intended action of the user relative to the virtual object based on the position data and the gesture data, and generate an output of the virtual object in response to the intended action.

The present invention provides systems, methods, and articles for stress reduction and sleep promotion. A stress reduction and sleep promotion system includes at least one remote device, at least one body sensor, and at least one remote server. In other embodiments, the stress reduction and sleep promotion system includes machine learning.

The invention discloses a non-inductive automatic decision-making method and system for a central air conditioner, and relates to the technical field of participation of the central air conditioner in power demand response, and the method comprises the steps: collecting indoor and outdoor environment data and user behavior data in real time through a temperature and humidity sensor, an air quality monitor and human body inductor equipment; establishing a power operation model when the central air conditioner participates in demand response; a central air conditioner automatic decision-making model based on PMV indexes is established; and the intelligent terminal adjusts the operation mode of the central air conditioner through an execution unit of the central air conditioner system according to the central air conditioner regulation and control instruction output by the automatic decision-making model. According to the non-inductive automatic decision-making system for the central air conditioner, automatic adjustment of the central air conditioner is achieved by intelligently monitoring and analyzing user behaviors and indoor and outdoor environment data. By means of automatic regulation and control, energy use is optimized, energy efficiency and energy saving performance are improved, the air conditioner load can be dynamically adjusted to respond to the power grid requirement, and the response capacity of the system is enhanced.

The present invention provides systems, methods, and articles for stress reduction and sleep promotion. A stress reduction and sleep promotion system includes at least one remote device, at least one body sensor, and at least one remote server. In other embodiments, the stress reduction and sleep promotion system includes machine learning.

The invention relates to the technical field of smart agriculture and the Internet of Things, and discloses a smart agriculture data acquisition and analysis system and method based on the Internet of Things, and the system comprises a sensing layer, a network layer, a platform layer, an application layer and a feedback optimization loop, the sensing layer is used for collecting agricultural environment multi-source data, and the sensing layer comprises sensor nodes and image acquisition equipment; the sensor node comprises an environment sensor group and a crop body sensor group, the network layer is connected with the sensing layer through an electric signal, the network layer comprises an Internet of Things gateway and a communication network, the communication network comprises one or more combinations of LoRa, ZigBee and 4G / 5G, the platform layer is connected with the network layer through an electric signal, and the platform layer is specifically a cloud service platform. By integrating a sensing layer, a network layer, a platform layer, an application layer and a feedback optimization loop, comprehensive acquisition, efficient transmission, intelligent analysis and accurate control of agricultural environment and crop body multi-source data are realized, and the problems existing in a traditional agricultural production mode are effectively solved.

The present invention discloses a smoke loading amount detection device, a detection method, and a smoke loading barn. The device comprises a first human body sensor (1), a second human body sensor (2), and a collector. The first human body sensor (1) and the second human body sensor (2) are fixedly installed beside a door (31) of a smoke loading barn (3). The first human body sensor (1) is arranged outside the second human body sensor (2). A partition (4) is arranged between the first human body sensor (1) and the second human body sensor (2). The first human body sensor (1) and the second human body sensor (2) are connected to the collector. The collector detects the number of people loading smoke according to the signals of the first human body sensor (1) and the second human body sensor (2), and estimates the number of cigarette clips N1 and the amount of smoke loaded G1 according to the number of people loading smoke. The present invention provides a smoke loading amount detection device, a detection method, and a smoke loading barn. The device can detect the number of people loading smoke, and estimate the number of cigarette clips and the amount of smoke loaded according to the number of people loading smoke.

The protective door for the machine tool comprises a protective door assembly, the protective door assembly comprises an upper door frame body and a lower door frame body, two sets of symmetrically-distributed opening and closing doors are rotationally connected between the upper door frame body and the lower door frame body, and the upper door frame body and the lower door frame body are both in positioning connection with the opening and closing doors through built-in opening and closing electronic locks; the upper door frame body is connected with a human body sensor, a controller, a fire sensor, a camera and an audible and visual alarm, the lower door frame body is connected with a control switch, the opening and closing door is connected with an observation window, a fixing plate is connected between the upper door frame body and the lower door frame body, the fixing plate is connected with a moving rod through a cleaning electric push rod, the moving rod is connected with cleaning cloth, and the fixing plate is connected with a mounting frame. A fire extinguisher and a starting assembly are connected in the mounting frame, and the controller is electrically connected with a control device of the machine tool. The system has the beneficial effects that intelligent safety protection is achieved; real-time monitoring and fault early warning can be realized; the observation window can be conveniently cleaned; and the system has efficient emergency processing capability.

The application provides a terrain recognition method, device and equipment for a legged robot and a medium. The method comprises the following steps: acquiring pose data collected by a body sensor of a target legged robot, and calculating state parameters of the target legged robot; inputting the pose data and the state parameters into a foot-ground contact force model to determine three-dimensional foot-ground contact force; generating a contact mask sequence representing a foot-end ground contact state of the target legged robot based on the three-dimensional foot-ground contact force, and segmenting the pose data to obtain a segmented pose data set; inputting the pose data set into a pre-trained terrain classification model to determine a confidence vector of the current ground under multiple terrain attributes, and determining a terrain category of the current ground according to multiple confidence vectors. Through the method and device, the autonomous adaptation capability and environmental perception reliability of the legged robot in complex terrain are significantly improved.

A method for automatically providing instructional content based on wearable data from a wearable device is provided. The method may include automatically tracking and receiving, via the wearable device, real-time wearable data associated with a user and a detected user activity including automatically detecting body sensor data associated with the user and corresponding to the detected user activity. The method may also include automatically determining whether the tracked and received real-time wearable data associated with the user and the user activity indicates a user frustration event. The method may further include in response to automatically determining that the tracked and received real-time wearable data associated with the user and the user activity indicates the user frustration event, automatically retrieving and presenting the instructional content from instructional material related to the user activity and the user frustration event.

Methods of compensating for ambient temperature using temperature sensors, the method comprising: sampling at a first sampling rate, with a processor, first temperature measurements from a first temperature sensor on an on-body sensor. Then determining, with a processor, first ambient-compensated temperatures from the first temperature measurements; and determining, with a processor, final ambient-compensated temperatures by applying a correction gain or factor to the first ambient-compensated temperatures. Wherein the correction gain or factor changes value at a slower rate than the sampling rate.

An athletic performance monitoring system includes an article of apparel having a upper body portion and a lower body portion, a sensor system configured to sense a movement of the user and including an upper body sensor connected to the upper body portion, a lower body sensor connected to the lower body portion, at least one port in communication with the sensors, and a plurality of conductive leads connecting the sensors to the port(s). The sensors may be stretch-based sensors that increase in resistance upon tensile deformation. At least one electronic module is connected to the port(s) to collect movement data from the sensors through the port(s). The module(s) may analyze the movement data and provide real-time feedback to the user regarding the movement of the user, based on analysis of the movement data, or the module(s) may transmit the movement data to an external device for analysis.

An actuating device include a base, a frame body, two first shaft portions, an optical element, a frame body driving assembly, and a frame body sensing module. The two first shaft portions extend along a first axis. Each first shaft portion is located between the frame body and the base. The optical element is disposed in an opening of the frame body. The frame body driving assembly drives the frame body to swing about the two first shaft portions as rotating axes and includes a first coil and a first magnetic element disposed on one of the two first side walls and is located between the first coil and the frame body. The frame body sensing module is connected to the base and includes a frame body sensor disposed adjacent to the first magnetic element to sense an amount of change in magnetic field strength of the first magnetic element.

The utility model belongs to the field of monitoring equipment, concretely is a kind of intelligent looped netowrk cabinet monitoring equipment, the top of cabinet is provided with top cover, the upper end surface of cabinet is provided with first through-hole, the inside of first through-hole is slidably provided with first sliding seal plate, the top of first sliding seal plate is provided with the second sliding seal plate synchronous sliding with first sliding seal plate, the upper end surface of second sliding seal plate is provided with second through-hole, the upper end of second through-hole is provided with exhaust fan on the upper end surface of second sliding seal plate, the lower end of second through-hole is provided with filter cover on the lower end surface of second sliding seal plate, the lower end surface of filter cover is connected and is provided with monitoring probe, the outer end surface of cabinet door is provided with multiple infrared human body inductors.The utility model is provided with second sliding seal plate and other components, so that the exhaust fan can monitor the inside of looped netowrk cabinet, and when someone approaches outside, it can be moved to the outside of looped netowrk cabinet for monitoring in time.

The invention discloses an end-to-end visual reinforcement learning automatic gun insertion charging method for efficient video memory utilization, and belongs to the technical field of robot automatic charging. The method comprises the steps that a system architecture composed of a mechanical arm, a tail end RGB camera and a body sensor is built; constructing a diversified charging scene in an Isaac Gym simulation platform, and generating training data; an end-to-end reinforcement learning model based on a PPO algorithm is adopted, an RGB image and a joint state are used as input, a joint control action is directly output, and direct mapping from sensing to control is achieved; a simulation environment is separated from a reinforcement learning training GPU, video memory utilization is optimized, and the training efficiency is improved; and after training is completed, the model is deployed on a single GPU, and a mechanical arm is controlled to complete a precise gun insertion task according to real-time vision and state information. According to the method, multi-stage processing and complex pose estimation in a traditional method are avoided, and the method has the advantages of system simplification, high adaptability, efficient training and accurate control.

Multiple embodiments of this specification relate to the field of information technology, and more specifically, to an OEOT-based intelligent management method and system for campus light environments. The method includes the following steps: reading the ambient color temperature and ambient light intensity detected by an ambient light color temperature sensor and an ambient light intensity sensor installed in a classroom; polling the human proximity status of a human body sensor at each learning station on a preset cycle to obtain a list of learning stations with human proximity; traversing the learning stations in the learning station list, and performing the following steps: reading video data and audio data obtained by a camera and microphone at the learning station for a preset time length; identifying the activity status of a person based on the video data and audio data; generating a fill light scheme based on the activity status of the person, the ambient color temperature, and the ambient light intensity; controlling the brightness and color temperature of a dual-color LED light based on the fill light scheme; and correcting the color temperature of the dual-color LED light based on the detection value of the color temperature sensor at the learning station.

The present invention provides a sterilizing lamp system for a wardrobe, which includes a sterilizing lamp arranged inside the wardrobe, and also includes an MCU control board, a human body sensor and a signal controller. The signal controller is arranged corresponding to the wardrobe door of the wardrobe. The signal controller includes a housing, a bottom case, a start switch and a signal sensing module. The bottom case is provided with the signal sensing module and the start switch. The housing is arranged on the bottom case and covers the signal sensing module. The signal sensing module includes an infrared transmitting tube and an infrared receiving tube. The signal sensing module is arranged corresponding to the wardrobe door, and a reflective layer is provided at the position of the wardrobe door corresponding to the signal sensing module. An MCU control board is arranged on the sterilizing lamp. The signal controller and the human body sensor are connected to the MCU control board. The present invention has good safety performance and good sterilizing effect.

The utility model relates to the technical field of advertising, in particular to an intelligent air supply advertising box which comprises an advertising box body, a box cavity is arranged in the advertising box body, a display panel is arranged in front of the box cavity, and advertising pictures are arranged in the box cavity. A human body sensor is installed on the advertising box body, the advertising box further comprises an air conditioner, the air conditioner is provided with an air supply outlet, the air supply outlet is formed in the advertising box body and faces the front face of the advertising box body, the air conditioner is connected with a control device, and the human body sensor is connected with the control device. When the human body sensor detects that a person passes, the human body sensor detects a signal and transmits the signal to the control device, the control device starts the air conditioner, and air is blown to the front of the advertising box body through the air supply outlet; when the human body sensor detects that no person passes, the human body sensor transmits a signal to the control device, and the control device does not start the air conditioner. The advertising box has the advantage that proper air can be supplied to people.

This application provides a vehicle control method, comprising obtaining wheel accelerations from wheel sensors and body accelerations from body sensors located above the wheel sensors; determining the preset stage of the wheel when the vehicle passes over a bump based on the wheel and body accelerations; and adjusting the current of each wheel's shock absorber based on the damping parameters corresponding to the preset stage. By identifying the different stages of a vehicle passing over a bump and adjusting the damping force of the vehicle's suspension accordingly, this application can significantly improve ride comfort when the vehicle passes over a bump.

The utility model discloses an intelligent alarm device for a bathroom, and the device comprises a plurality of carbon dioxide gas sensors which are distributed on different wall surfaces of the bathroom, are close to the ground of the bathroom, and are used for detecting the concentration of carbon dioxide in the bathroom; the alarm assembly comprises a first alarm device installed in the bathroom and a second alarm device installed outside the bathroom, and the first alarm device is further provided with a switch button; the controller is connected with the carbon dioxide gas sensor, the first alarm device, the switch button and the second alarm device and used for controlling the first alarm device to give an alarm when the carbon dioxide concentration in the bathroom exceeds a first preset threshold value. When the signal from the switch button is not received within a preset time after the first alarm device gives an alarm prompt, the second alarm device is controlled to give an alarm prompt; and the power supply module is connected with the carbon dioxide gas sensor, the controller and the alarm component so as to supply power.