48 results about "Mobile sensing" patented technology

A system for inductive energy transmission may include a stationary induction charging device, a mobile induction charging device, and a positioning device configured to detect a relative position of respective charging coils of the charging devices during charging. The positioning device may include a transmitting device and a receiving device that are each arranged in a respective one of the charging devices. The transmitting device may include at least two transmitters that simultaneously emit a respective transmission signal with an associated predetermined frequency. The receiving device may include a receiver configured to output a superimposition of all received transmission signals as a time-dependent received signal. The positioning device may be configured to i) determine an associated amplitude for each transmission signal from the time-dependent received signal and / or ii) provide a position information item from the determined amplitudes. The position information item may represent the relative position of the coils.

A motor vehicle including a mobile induction charging device is disclosed. The motor vehicle is configured to: receive alignment fields generated by stationary induction charging devices of parking spaces of a parking lot and to detect the signal strength and alignment frequency of the alignment fields, recognize based on a stronger alignment field and the alignment frequency of the stronger alignment field that the mobile induction charging device is to be aligned with the stationary induction charging device associated with the parking space as it approaches one of the parking spaces, and output a navigation instruction for aligning the motor vehicle on the parking space via the alignment field associated with the approached parking space.

The invention relates to the technical field of Internet of Vehicles data privacy protection, and discloses an Internet of Vehicles data privacy protection method based on mobile perception federated learning, comprising the following steps: S1, a vehicle-mounted unit obtains vehicle operation data, power consumption behavior data and wireless communication data through mobile perception, generates a data set, and stores the data set in a database; and S2, the vehicle-mounted unit is based on the power utilization behavior data in the data set in the S1. By combining basic encryption strength calculation of a vehicle state and final encryption strength optimization of link stability, a two-dimensional dynamic encryption mechanism is constructed, battery remaining capacity and running speed in the vehicle state provide a basis for basic encryption, wireless communication link quality parameters support encryption strength secondary optimization, so that the encryption strength is adjusted as required, and the encryption efficiency is improved. And when the link is unstable, the strength is improved to guarantee privacy, when the link is stable, the complexity is reduced, the delay is reduced, finally, the sensitive parameter leakage rate is controlled at an extremely low level, the communication delay is maintained within 200 milliseconds, and the vehicle-gauge-level real-time requirement is met.

The invention discloses a coal mine methane leakage early warning method and system based on a wireless sensor network, and relates to the technical field of leakage early warning. The method comprises the following steps: deploying a sparse sensor network in a coal mine area, and constructing a coal mine cloud picture; real-time data of a coal mine area are collected and transmitted back to the central control processor; if the real-time data represents that no leakage exists, but the real-time data is in a metastable critical state, carrying out directional sensing management by calling a mobile sensing component in the sparse sensing network; if the real-time data represents that leakage exists, a leakage verification assembly is triggered, the data are synchronized to a coal mine cloud picture, cloud picture network screening and superposition state definition based on leakage events are carried out, and leakage data are determined and leakage early warning management is carried out based on superposition state collapse of candidate leakage paths by introducing a walking operator. The technical problem that in the prior art, coal mine methane leakage monitoring depends on a fixed sensing point, and the leakage state cannot be dynamically tracked is solved, and the technical effect of coal mine methane leakage dynamic positioning is achieved.

The invention provides a belt inspection robot control method and system, and relates to a data processing technology, the method comprises the following steps: obtaining an oblique detection zone located at a belt mechanism, and collecting magnetic flux data of static induction units obliquely arranged in the oblique detection zone at intervals; according to the magnetic flux data and the distribution positions of the static induction units, verification areas are generated, and based on the magnetic flux data of the change induction units corresponding to the verification areas, estimated contours corresponding to the verification areas are constructed; when it is determined that the verification area is located in the treatment area, a robot in the treatment area is controlled to sort and recognize the verification area, and the recognition contour of the to-be-sorted object is obtained; on the basis of the comparison result of the estimated contour and the recognized contour, the mobile sensing unit is controlled to move to the re-checking area for verification, a re-checking result is obtained, shape estimation can be conducted on the metal foreign matter buried below the coal, therefore, a robot is effectively guided, and the efficiency and reliability of removing the metal foreign matter are improved.

This application relates to the field of Internet of Things (IoT) technology, and in particular to a method and system for personnel safety monitoring in chemical industrial parks based on dual-channel heterogeneous data transmission and multi-source fusion. The method synchronously collects environmental parameters and inertial data through mobile sensing terminals; constructs an extended Kalman filter model to tightly couple and fuse ultra-wideband positioning coordinates with inertial dead reckoning data to correct cumulative drift in predicted values; employs a vertical distance threshold trajectory compression algorithm at the edge to eliminate redundant positioning points on linear paths, reducing transmission load; dynamically adjusts the radius of the electronic fence based on gas concentration and determines fall events by combining acceleration amplitude temporal characteristics; and utilizes a dual-channel WiFi collaborative mechanism to normally upload lightweight data via a low-power channel, only activating the high-speed channel to upload on-site images when boundary crossings or fall anomalies are detected. This application effectively solves the technical problems of low positioning accuracy, multimedia data transmission bandwidth conflicts, and delayed safety warnings in industrial sites.

The invention discloses an intelligent fire-fighting robot system and a control method. Comprising the following steps: acquiring wide-area environment image information through a fixed monitoring camera network deployed in an operation area, and acquiring approaching environment image information through a mobile sensing system carried by a fire-fighting robot; according to the intelligent fire-fighting robot system and the control method, the fire-fighting robot can automatically adapt to complex terrains such as oil stains and stairs and accurately recognize fire source properties, so that the optimal moving mode and the fire extinguishing agent are automatically selected. According to the system, sensing data of fixed monitoring and the robot body are fused, dynamic path planning and personnel guiding are achieved, the traffic capacity, the fire extinguishing precision and the personnel rescue efficiency in a complex fire scene are remarkably improved, and the risk of rescue personnel is effectively reduced.

The invention relates to a laser measuring device for measuring the width and length of a bridge crack, and belongs to the technical field of bridge detection, and the laser measuring device comprises a walking assembly, a steering assembly, an adjusting assembly, a laser range finder and a sensing assembly. Wherein the walking assembly is used for providing power for the laser measuring device to walk on a bridge; the steering assembly is arranged on a walking base in the walking assembly and used for providing power for the laser range finder to rotate in the vertical direction. The adjusting assembly is arranged on a steering table in the steering assembly, and independent movement in the vertical direction and the horizontal direction is provided for the laser range finder through an adjusting plate. The sensing assembly is arranged on the walking assembly and corrects the walking direction of the whole laser measuring device, and the situation that a complex visual system is needed to complete crack width and length measurement work is avoided. According to the method, the dependence on a complex visual identification algorithm is abandoned, and the problems of instable identification, precision reduction and even failure in the prior art are fundamentally eliminated.

This invention belongs to the field of bridge engineering technology, specifically relating to a bridge stress state diagnosis method based on digital twins and mobile sensors, aiming to achieve real-time diagnosis of the stress state of bridges with defects. The method includes acquiring spatial data of existing bridge defects, embedding defect parameters into a twin model, and generating an initial twin of the defective bridge. A modular monitoring station composed of mobile sensing devices is deployed on the bridge, with data transmitted between devices via a mesh self-organizing network to an edge computing terminal, where data preprocessing is performed. During the monitoring period, vehicle load, temperature and humidity, displacement, or vibration data are injected in real time into the initial twin of the defective bridge. An FEM-defect coupling algorithm is established to dynamically correct the structural stiffness matrix, forming a digital twin. A stress state diagnosis index system is established, comparing the responses of the digital and healthy twins under the same load, calculating the variation amplitude of each diagnostic index, and marking the structural health spectrum to determine whether the bridge has an abnormal stress state.

The present disclosure provides a system of distributed edge computing for cooperative augmented reality with mobile sensing capability. The system includes a plurality of nodes configured to generate a plurality of data streams; and a plurality of distributed edge servers configured to process one or more tasks using the plurality of data streams. An Apache Storm distributed stream processing platform is installed and properly configured on each distributed edge server; the plurality of distributed edge servers includes one or more service modules installed on each distributed edge server and configured to process the one or more tasks; and the plurality of distributed edge servers includes a master distributed edge server and a plurality of slave distributed edge servers; and a scheduler is installed on the master distributed edge server and configured to distribute the one or more tasks to the plurality of distributed edge servers.

The application discloses a tea garden pest multi-source sensing monitoring and intelligent decision-making pesticide application system, and relates to the technical field of intelligent agriculture. The system comprises a mobile sensing array, a static monitoring base station and a time synchronization module. By collecting multispectral images and environmental parameters and completing space-time alignment, the system realizes multi-modal feature deep fusion relying on the cross-attention mechanism, combines space-time sequence repair technology and sheltering bottom-up strategy to deal with target sheltering problems, generates pesticide application action vectors based on a deep reinforcement learning algorithm, and integrates mechanical response characteristics and physical constraint filtering to ensure stable execution. Meanwhile, the system constructs a pesticide application amount residual feedback closed loop to realize online optimization of the model. The application effectively improves the accuracy of pest identification and pesticide application and the stability of equipment operation, solves the problems of poor environmental adaptability, insufficient sheltering response and disconnection between decision-making and execution in the prior art, and realizes intelligent and accurate prevention and control of tea garden pests.

The invention belongs to the technical field of household appliances, and particularly relates to a household appliance. The body of the household appliance is provided with an opening; the door body is connected to the opening of the machine body in an openable manner; the two ends of the buffering piece are connected with the door body and the machine body correspondingly. The triggering piece is connected to the buffering piece and reciprocates along with opening and closing of the door body; the sensing piece is connected to the machine body; wherein when the trigger piece is close to the induction piece, the induction piece is triggered and generates a trigger signal; and when the triggering piece is far away from the sensing piece, the sensing piece is not triggered. The safety hidden danger that the door body falls due to the fact that the door body is opened on the premise that the buffering piece fails can be avoided, safety and user experience are improved, and good practicability is achieved.

The invention belongs to the technical field of tunnel construction monitoring, and discloses a construction tunnel on-load roadside sensing method based on a laser radar, and the method comprises the steps: obtaining the point cloud data of an on-load laser radar and a roadside laser radar; calculating the real-time pose of the on-board laser radar in the global coordinate system based on the roadside laser radar point cloud data; performing combined filtering on the point cloud data; converting the filtered on-load laser radar point cloud data into a global coordinate system by using the real-time pose, and fusing the filtered on-load laser radar point cloud data with the filtered roadside laser radar point cloud data to obtain three-dimensional construction tunnel point cloud data; establishing geometric models of the left and right side walls of the construction tunnel, and calculating the actual width of the construction tunnel by using the geometric models; through cooperation of vehicle-mounted mobile sensing and roadside fixed sensing and combination of combined filtering and data processing flow specially designed for construction interference, the problem of large error of a construction tunnel section width calculation result is solved, environmental noise is effectively inhibited, and high-precision measurement of the construction tunnel width is realized.

This invention discloses an intelligent warehouse management system based on integrated hardware and software, belonging to the field of warehouse management technology. Specifically, it includes: First, a node synchronization module deploys and synchronizes multiple mobile sensing nodes. A data acquisition module controls the movement of work units and collects time-stamped point cloud data, sending it to the sensing nodes. A coordinate alignment module sets the receiving node as the master node and converts the point cloud data to its coordinate system to generate a local map. A fragmentation and distribution module divides the map into geographical segments and distributes them to neighboring nodes. A collaborative fusion module receives feedback fragments from neighboring nodes, merges them, and generates a corrected local map. Finally, a path planning module calculates and sends updated paths for work units based on this map. This invention achieves decentralized real-time environmental perception and adaptive path planning in a dynamic warehouse environment, improving the system's robustness and operational continuity in complex and changing scenarios.

This application relates to the field of traffic flow sensing technology, and in particular to a traffic flow sensing method and system. The method involves collecting multi-source heterogeneous traffic sensing data from fixed sensing devices, mobile sensing terminals, and environmental sensors within a target sensing area; sending this data to an edge computing node for preliminary processing and feature extraction to generate structured feature data, which is then uploaded to a cloud platform; aligning the data to a unified spatiotemporal reference on the cloud platform and performing multi-source data fusion processing based on dynamic confidence weighting to obtain fused traffic parameters; dynamically adjusting the fusion weights of each data source using a pre-generated environment-weight mapping model; and finally generating traffic situation information including traffic flow, average vehicle speed, lane occupancy, and traffic event types based on the fused traffic parameters. This method can adapt to environmental changes, improve the accuracy and robustness of traffic flow sensing, and solve the problem of perception bias easily occurring with a single data source in specific environments.

The invention provides a low-altitude interference source recognition method and system based on pattern recognition. The method comprises the following steps of: 1, integrating a mobile sensing front end on an unmanned aerial vehicle platform, and acquiring a sensing data sequence, and 2, performing low-altitude simulation space reconstruction under the combination of numerical electromagnetic simulation and ray tracing on a target low-altitude area, and generating an interference identification module through supervised training of a meta classifier based on interference mode identification; 3, initializing the low-altitude simulation space according to the perception data sequence, constructing a three-dimensional electromagnetic environment thermodynamic diagram, and determining an interference identification result by executing interference identification based on the three-dimensional electromagnetic environment thermodynamic diagram; 4, performing unmanned aerial vehicle inspection management according to the interference identification structure; according to the method, data preprocessing and multi-dimensional feature engineering are combined, a comprehensive and high-quality data basis can be provided for interference recognition, and the recognition accuracy is improved.

The invention belongs to the technical field of plate detection, and particularly relates to a plate six-surface automatic scanning device. When a plate runs on a conveying part, a plate movement sensing assembly monitors the position of the plate in real time and feeds back the position to a controller; the controller immediately and sequentially triggers the correcting mechanism to correct the position of the plate, the anti-shaking mechanism restrains vibration in the conveying process, finally, the plate stably and accurately passes through the scanning module, and at the moment, the controller synchronously starts the six detection assemblies to achieve synchronous and automatic scanning and detection of the six surfaces of the plate; through the integrated design of conveying, correcting, anti-shaking and six-surface scanning and unified cooperative control of the controller, the problems that traditional manual detection is subjective and low in efficiency, and an existing scanning device is insufficient in precision, tedious in operation, poor in adaptability and the like due to deviation and shaking of plates and incapability of synchronous scanning of multiple surfaces are effectively solved; therefore, efficient, accurate and stable automatic detection of the six-surface quality of the plate is realized.

The application discloses a kind of mobile sensor and DALI driver's luminaire group control method based on many-to-many, it includes the following steps: step 1: at least 2 mobile sensors and at least 2 DALI luminaire drivers are connected in parallel on control data line;Step 2: select 1 mobile sensor from the at least 2 mobile sensors, and when receiving sensing signal, the selected mobile sensor sends pre-stored instruction sequence to each DALI luminaire driver on control data line by DALI broadcast respectively.The application can solve the problem of switch signal confusion when multiple mobile sensors control.

The invention relates to a method for operating a system (1) for inductive energy transfer, comprising a stationary inductive charging device (2, 2a) and a mobile inductive charging device (2, 2b). One of the inductive charging devices (2) has a transmitting coil (7) wound about a predetermined winding axis (1), and the other inductive charging device (2) has two receiving coils (9, 10) having respectively associated and predetermined winding axes (A2, A3). The transmitting coil (7) generates a predetermined pulse signal (P), and the relative position of the inductive charging devices (2) relative to each other is detected on the basis of the voltage (U) induced in the receiving coils (9, 10) by means of the pulse signal (P). The invention also relates to a system (1) operated in this way.

1. The name of the design product: intelligent sensor (HSSD24 microwave). 2. The use of the design product: for LED lamps intelligent induction and interconnection, to realize the function of mobile induction and brightness automatic adjustment and control of intelligent lighting system. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The embodiment of the invention relates to the technical field of stretching devices, and provides a stretching mechanism, a motion detection method of the stretching mechanism and terminal equipment, and the stretching mechanism comprises a moving assembly, a sensing assembly and a control assembly. The transmission assembly comprises a transmission part moving around the axis of the transmission assembly and a movable part, and the movable part reciprocates in the extending direction of the transmission part. The induction assembly comprises at least one first induction part and a magnet part, the magnet part is arranged on the transmission part and rotates around the shaft along with the transmission part, and the first induction part is located on the peripheral side of the magnet part. The control assembly is electrically connected with the first sensing part. According to the stretching mechanism provided by the embodiment of the invention, the magnet part rotates around the shaft along with the transmission part and performs magnetic induction interaction with the first induction part, so that the magnetic flux of the first induction part is periodically changed, the control assembly performs counting when receiving the periodic change of the magnetic flux of the first induction part, and then the stretching mechanism is controlled according to the perimeter of the transmission part. The moving distance of the movable part in the extending direction of the transmission part is obtained.

The invention relates to the field of lighting lamps, and discloses a grouping control method for lighting lamps, which comprises the following steps: connecting at least two mobile sensors and at least two DALI lamp drivers on a control data line in parallel, and realizing grouping control based on three modes: dynamic master-slave setting, static master-slave setting and non-master-slave conflict resolution. And when the control main body receives an induction signal, a pre-stored instruction sequence is sent to all DALI lamp drivers based on DALI broadcast, and uncompleted instructions are emptied during triggering, so that synchronous response is ensured. According to the invention, a single-point fault is eliminated based on a distributed architecture, response efficiency and stability are improved based on a broadcast mechanism and a conflict processing strategy, flexible expansion is supported, and the method is suitable for various illumination scenes such as offices and corridors.

A mobile monitoring system suitable for an expressway. The system comprises a mobile sensing and publishing integrated device and a cloud management platform, wherein the mobile sensing and publishing integrated device comprises a traffic sensing subsystem, an information publishing subsystem, a wireless communication subsystem and a power supply subsystem, the traffic sensing subsystem is used for monitoring a traffic operation state and traffic event information, the information publishing subsystem is used for prompting the traffic event information, the wireless communication subsystem is used for implementing data communication interaction of the cloud management platform, and the power supply subsystem provides a power supply for the mobile sensing and publishing integrated device. By means of applying a mobile sensing and publishing integrated device, all-weather traffic monitoring, and real-time publishing of detection information can be realized; and a cloud management platform is provided to support display of a cloud platform video, alarm and recording of a traffic event, and setting and central control of an information publishing plan.

The invention designs an indoor thermal comfort map construction, regulation and control system and method based on mobile perception. The system is composed of a movable platform module, an environment perception module, a space positioning module, a drawing fitting module, a detection and identification module and a control decision module. The method comprises the following steps of: (1) acquiring environment / physiological parameters required by a personal thermal comfort prediction average voting (PMV) model by a system through an autonomous cruise mode, and (3) calculating a thermal comfort PMV value according to the acquired data, and constructing a two-dimensional dynamic map of temperature, humidity and PMV distribution through a digital interpolation method. And (4) according to the current temperature and humidity and thermal comfort distribution, setting points of the heating ventilation air-conditioning system are adjusted in a fuzzy control mode in combination with the user position, and the purpose of optimizing the user thermal comfort and air-conditioning energy consumption is achieved. The movable platform is introduced, the setting point of the heating ventilation air conditioning system is optimally controlled, the indoor thermal comfort level can be improved, and meanwhile, the energy consumption of indoor air conditioning operation is reduced.

The utility model discloses a floating type yarn guide winding mechanism, including the winding with bobbin subassembly, fixed support subassembly, screw drive subassembly, floating type cross -beam subassembly, support roller subassembly and mobile sensing subassembly, the winding with bobbin subassembly is set on the support roller subassembly top, the support roller subassembly is installed on floating type cross -beam subassembly, one side of floating type cross -beam subassembly is connected with fixed support subassembly, be provided with screw drive subassembly on fixed support subassembly, be provided with mobile sensing subassembly on screw drive subassembly. The innovation scheme is with a whole floating type cross -beam yarn guide mechanism and winding position are matched, when the center of bobbin and the center of the motion have deviation, can be through manual or automatic calibration mode to the cross -beam mechanism calibration, do fine control, solve the problem of winding forming poorly after replacing different types of bobbin.

1. The name of the design product: intelligent sensor (HSSD24PIR). 2. The use of the design product: intelligent induction and interconnection for LED lamps, realizing the functions of mobile induction, automatic brightness adjustment and control of intelligent lighting system. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

1. The name of the design product: intelligent sensor (HSSD23). 2. The use of the design product: intelligent induction and interconnection for LED lamps, realizing the functions of mobile induction, automatic brightness adjustment and control of intelligent lighting system. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The application discloses a belt fire-fighting safety management system suitable for a roller robot, belongs to the technical field of production line fire-fighting safety management, and specifically comprises a patrol path planning module, a multi-source mobile sensing module, a risk assessment positioning module, a pre-warning verification module and a fire-fighting execution module; the system is used for full-line automatic patrol by means of a roller robot, overcomes the disadvantages of blind area and low efficiency of manual patrol, comprehensively collects original belt running state data based on a mobile control mode, obtains multi-source feature data based on feature extraction after preprocessing, analyzes the multi-source feature data in combination with a machine learning model, the system can identify potential individual risks and comprehensive risks in an early stage of accidents such as fire and mechanical failure, dynamically adjusts a patrol strategy according to the risk types, realizes smooth switching from 'global scanning' to 'local focusing', intensively monitors and verifies a key risk area, and improves fire-fighting execution accuracy.

This invention provides a surface adaptive lifting method, relating to the field of workpiece heat treatment technology, comprising: S1, determining model parameters; S2, creating a geometric model and meshing; S3, establishing a coordinate system within the meshed geometric model set; S4, dividing the tooth surface of a large-module rack into three parts and continuously adjusting the sensor movement speed in each region to solve the dynamic temperature field distribution; and S5, using a tooth surface path adaptive speed regulation method to complete the heating process in the deceleration zone, transition zone, and acceleration zone. This invention cleverly utilizes a tooth surface path adaptive speed regulation method, enabling intelligent adjustment of the large-module rack's temperature consistency under varying sensor speeds, thus optimizing the traditional moving induction heating simulation method which suffers from difficult speed control and complex calculations.

The invention belongs to the technical field of electrical equipment, and particularly relates to a household appliance. An opening is formed in a machine body of the household appliance, a door body is connected to the opening of the machine body in an openable and closable mode, at least part of a buffering piece is elastic, the buffering piece is provided with a first end and a second end, the first end of the buffering piece is connected with the door body, and the second end of the buffering piece is connected with the machine body; the triggering piece is connected to the buffering piece and reciprocates along with opening and closing of the door body; the sensing piece is connected to the machine body and is arranged on the moving path of the triggering piece so as to block the movement of the triggering piece; wherein when the trigger piece blocks the induction piece, the induction piece is triggered and generates a trigger signal; and when the triggering piece is far away from the sensing piece, the sensing piece is not triggered. The safety hidden danger that the door body falls due to the fact that the door body is opened on the premise that the buffering piece fails can be avoided, safety and user experience are improved, and good practicability is achieved.