143 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.

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.

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.

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 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 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.

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.

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.

To provide a management system capable of unitarily managing an operation state of a machine tool and states of industrial tools.SOLUTION: A machine tool includes a body part sensor which detects an operation state of the machine tool side. An industrial tool includes an industrial tool sensor which detects usage state of the industrial tool side. Further, there is provided a user interface (UI) connected to both of operation monitoring data of the machine tool obtained by the body part sensor and industrial tool monitoring data obtained by the industrial tool sensor.SELECTED DRAWING: Figure 1

The invention provides a robot navigation method and device based on edge and cloud cooperative computing. The method comprises the following steps: acquiring real-time environment sensing data through a body sensor of the robot; executing real-time positioning and map construction, and generating a local obstacle avoidance instruction; generating a task unloading decision according to the task division strategy, the current network state and the server resource state; and fusing the optimized global map, the long-term trajectory prediction result and the local obstacle avoidance instruction to generate a global comprehensive navigation strategy of the robot. According to the method, robot navigation tasks are intelligently divided and dynamically unloaded through an innovative edge and cloud cooperative computing framework, the low delay of the edge side and the powerful computing power of the cloud are fully utilized, and the core bottleneck that the computing power of a robot body is limited can be effectively solved. The overall delay of the navigation system is obviously reduced, and the navigation efficiency, safety and intelligent level in a large complex scene are improved.

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.

A system for assessing a status of a spinal implant includes a reader device, a wearable body sensor, and a spinal implant. The wearable body sensor includes a first short-range receiver, a first short-range transmitter, and an inertial measurement unit. The wearable body sensor is configured to be positioned over a portion of a spine of a wearer, and measure movement information corresponding to spinal motion of the wearer while the wearer performs one or more movements while wearing the wearable body sensor. The spinal implant includes one or more sensors configured to measure implant information comprising one or more characteristics of a fusion status of the spinal implant, a second short-range receiver, and a second short-range transmitter. The wearable body sensor is configured to communicate movement information to the reader device. The spinal implant is configured to communicate implant information to the reader device via the second transmitter.

The invention provides a child mode intelligent detection method and system, electronic equipment and a medium, and belongs to the technical field of riding safety, and the method comprises the steps: obtaining the position of a child object based on a passenger monitoring system; monitoring child characteristic sound information of the child object position based on a microphone sound area positioning system; within the period of validity of the child feature sound information, whether a child crying feature mode is in is judged according to a vehicle window sensor and a seat pressure-sensitive sensor corresponding to the position of the child object; and in the child crying characteristic mode, sending a control instruction to a preset entertainment system to execute operation. The passenger monitoring system, the in-vehicle camera, the vehicle body sensor and the microphone sound area positioning system are combined with cabin visual detection to assist sound area detection, the negative emotion and dangerous behaviors of the child in the driving process are detected, and when it is detected that the child cries, the child is actively operated and pacified in a targeted mode, so that the burden cost of a driver and other members in the vehicle is reduced, and the driving safety is improved. The home user travel experience is improved, and the safety risk is reduced.

1. The name of the design product: multifunctional body sensor controller (WXQ). 2. The use of the design product: controller for entertainment, fitness, and stress relief. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The present invention discloses a toilet lid with a replaceable film, which includes a base, a film replacement seat ring hinged to the base, a film replacement device, a human body sensor and a controller installed on the base. The controller controls whether the film replacement device performs a film replacement action according to the signal of the human body sensor. The present invention can control the film replacement device by sensing the human body, thereby realizing contactless automatic film replacement, which greatly facilitates people's use and is more hygienic and clean.

This invention discloses a system and method for improving the dynamic stability of excavators during remote driving, comprising: vehicle body sensors, an on-board controller, a local base station, a remote controller, a remote handle, and a remote foot pedal. The remote handle and remote foot pedal are both electrically connected to the remote controller, and both the on-board controller and the remote controller are electrically connected to the local base station. By utilizing the powerful computing capabilities of the local base station to perform complex data calculations, replacing the traditional method of using the on-board controller and remote controller for data processing, computational efficiency can be significantly improved, latency reduced, and the stability of the control system enhanced. By using the local base station to calculate the dynamic stability coefficient K of the entire vehicle in real time, the driver can accurately control the vehicle speed based on the dynamic stability coefficient K, effectively preventing vehicle rollover or loss of control and improving the safety of remote driving. Simultaneously, it allows the vehicle to reach higher working speeds while ensuring safety, effectively improving work efficiency.

A device for detecting an angle of inclination of a vehicle having a chassis, a vehicle body carried by the chassis and connected by springs to unsprung components of the chassis. Vehicle wheels are coupled to the vehicle body by chassis control arms. Sensor arrangements, including at least one body sensor arrangement, are provided on the vehicle body and one or more chassis sensor arrangements is on the unsprung components of the chassis and / or the chassis control arms. Each sensor arrangement has acceleration sensors to detect translatory accelerations in different spatial directions and provide acceleration signals. An evaluation device connected to the sensor arrangements determines a pitch angle from the acceleration signals. Rotational movement sensors detect rotational movements about different axes and provide and body rotational movement signals characterizing these rotational movements. The pitch angle can be determined by the evaluation device using the body rotational movement signals.

An analyte monitoring system and method for an on-body sensor control device may have the ability to sense two or more analytes of a patient, the sensor control device comprising a processor and a memory, there are instructions for determining various machine states and outputs based on time-dependent sensor data for each analyte. The status and output may include: alarm conditions for one or more analytes; consulting a message; a correction of the analyte state estimate; indication of failure of the sensor control device, failure of the insulin delivery device, drug dose calculation; or analyzing the report. Examples of systems and methods for dual analytes including glucose and ketones are described. Data may be transmitted from the sensor control device to the reader device for output to a user.

This application provides a remote driving method and related equipment based on remote desktop control technology, belonging to the field of remote driving technology. The method includes: collecting driving environment data and vehicle status data through vehicle body sensors; rendering a local operation screen based on the driving environment data and vehicle status data to obtain a driving operation video stream; synchronizing incremental pixels of the driving operation video stream to a remote operating terminal using remote desktop control technology, and collecting the synchronization time of the pixel increment process; dynamically allocating transmission redundancy to key frames in the driving operation video stream based on the synchronization time; encoding the key frames according to the transmission redundancy to obtain redundant data packets; and synchronizing the incremental pixels of the driving operation video stream and the redundant data packets together to the remote operating terminal. This application can reduce the data interaction latency of remote driving and improve the safety of remote driving.

This utility model discloses an intelligent spray eyewash room with automatic cleaning, including an eyewash room body and an eyewash unit body. The eyewash room body is equipped with an electric swing door, a pressure-sensing foot pedal, a V-shaped drain channel, and an infrared human body sensor to achieve automatic response when a user enters; the eyewash unit body controls the water flow through a solenoid valve, combined with constant temperature water supply, a filtration device, and ultraviolet disinfection to ensure rinsing safety; the equipment supports manual / automatic dual-mode operation and can be linked with a remote terminal through a multi-modal interactive panel.