27 results about "Gps navigation" patented technology

The invention relates to the field of unmanned ships, and discloses an intelligent cruise and collaborative operation method for a multifunctional unmanned ship, which comprises the following steps: debugging preparation: selecting a functional module according to an operation demand, installing the functional module on an unmanned ship modular platform through a standardized interface, completing initialization and establishing a data transmission link with a cloud; and cruise planning: acquiring environmental data in real time, planning an initial cruise path by using a self-adaptive algorithm in combination with position information acquired by Beidou or GPS navigation in real time, and monitoring environmental changes in real time, dynamically optimizing the path and adjusting a route and a speed to cover a task area during navigation. By collecting environmental data in real time and planning and optimizing a cruise path by using an adaptive algorithm, the unmanned ship can accurately cover a task area, does not depend on a fixed route any more, dynamically adjusts the route and speed according to the actual situation of a water area, quickly reaches a key monitoring point, and reduces unnecessary sailing time.

The invention relates to the technical field of intelligent inspection of power equipment, and particularly discloses a power transmission line inspection system based on an autonomous correction long-endurance unmanned airship. The system aims to solve the problems of short endurance, small operation radius, single image angle, intermittent operation, leak detection, low precision, poor environmental adaptability and the like caused by dependence on manpower or GPS navigation in the conventional unmanned aerial vehicle inspection. The system comprises an energy supply module, a data acquisition module, an intelligent control module and a communication and data return module. Wherein the energy supply module is integrated with a solar energy collection, storage and intelligent scheduling unit to realize day-and-night continuous energy supply; the intelligent control module adopts an RT-DETR visual algorithm to identify a tower in real time, performs automatic deviation correction by fusing pose information, and accurately tracks a preset track; the data acquisition module supports multi-angle high-definition imaging, and the communication module guarantees real-time data return. And high-precision unmanned inspection with ultra-long endurance, full-automatic and wide-area continuous coverage is integrally realized.

The present invention provides an intelligent inspection system, method, and device for logistics site safety inspections, relating to the technical field of logistics site safety inspections. The system primarily comprises a data acquisition module, a data processing module, and a result generation module. The data acquisition module includes a road condition image unit, a GPS navigation unit, a three-dimensional model unit, an IMU inertial unit, and a sensor unit. The data processing module includes a cargo overturning risk assessment unit and a curve passability risk assessment unit. This solution enables intelligent inspection and early warning of safety issues at logistics sites, and is particularly suitable for providing early warning of risks such as cargo overturning, curve passability, overheight, and overweight during the transportation of large cargo, thereby effectively preventing major safety accidents.

The application discloses a kind of based on visual navigation substation unmanned aerial vehicle inspection method and system, comprising: based on the video stream data of unmanned aerial vehicle acquisition, obtain multiple continuous video frame images;Video frame image is input into feature extraction network, and the substation road environment feature is extracted, and the extracted feature is respectively input into yaw angle prediction network and horizontal flight prediction network, and the yaw angle parameter of each direction substation road and the translation parameter required for unmanned aerial vehicle flight are output;According to the parameter information output, based on Gaussian mixture model, determine the yaw angle of unmanned aerial vehicle, and then generate unmanned aerial vehicle rotation direction control instruction and generate unmanned aerial vehicle translation control instruction;According to control instruction, control unmanned aerial vehicle flight, and carry out inspection.The application learns through the visual image of substation, so that unmanned aerial vehicle can recognize the pre-set inspection path and surrounding environmental obstacles, get rid of the dependence on GPS navigation signal, realize substation unmanned aerial vehicle automatic inspection.

This invention discloses an adaptive control system for inspection drones, belonging to the field of drone intelligent control technology. This adaptive control system can automatically inspect the furnace, greatly reducing workload and improving inspection efficiency compared to traditional inspection methods. Furthermore, the automatic inspection avoids high-altitude operations, reducing the danger of inspection work. This invention can achieve continuous self-positioning of the drone based on preset reference objects within the furnace. This method can operate independently of GPS navigation, enabling rapid updates of the drone's spatial position even in furnaces with weak GPS signals. The entire process can be performed without signal interaction with other devices or platforms, significantly reducing the impact of signal interference. Additionally, when performing inspection tasks, the drone can operate outside of visual range without affecting its autonomous positioning, greatly enhancing the drone's inspection range and capabilities.

The utility model relates to the technical field of rotary cultivators, and particularly discloses a crawler efficient cultivation machine which comprises a cultivation machine body. The crawler wheel is arranged at the bottom end of the cultivator main body; the blade mechanism is mounted at the outer part of one side of the cultivator main body; by means of the lifting arm, the blade outer cover, the speed reducer and the controller, the blade is designed to be in an arc shape or an anchor shape so that the blade can penetrate through and turn over soil more effectively, cultivation resistance is remarkably reduced through the optimized design, operation efficiency is improved, and in addition, by carrying a GPS navigation system and combining an automatic driving algorithm, the operation efficiency is improved. The rotary cultivator can realize accurate positioning and autonomous navigation, the dependence on manual operation is reduced, the operation efficiency is further improved, the intelligent operation mode is particularly effective for a complex or rapidly-changed operation environment, and the adaptive capacity and the working efficiency of the rotary cultivator in diversified farmlands are greatly enhanced.

The invention relates to the field of agricultural planting, and particularly discloses a wheat-corn double cropping relay intercropping annual high-yield synergistic mechanized production method which comprises the following steps: wheat sowing: adopting a wheat and corn relay intercropping mode, setting the width of a wheat sowing belt to be 50 cm, reserving the width of a corn empty row to be 50 cm, setting the total row spacing to be 1 m, and ensuring standardized planting of each row; drip irrigation tape laying and soil loosening: during the growth period of the wheat, laying drip irrigation tapes along the reserved empty rows of the corn, and performing soil loosening operation; according to the method, through deep integration of accurate planting parameter control and agricultural machinery agriculture, both the wheat and the corn can achieve good yield. Wherein standardized row spacing configuration is matched with a precision seeding technology, it is ensured that the corn planting density is stabilized at 7800 plants per mu, meanwhile, the operation precision is improved to 95% or above through application of a GPS navigation system, and the phenomena of repeated seeding and miss-seeding are remarkably reduced. Through cooperation of a drip irrigation system and deep scarification operation, the water and fertilizer utilization rate is increased, and soil organic matter is increased annually.

1. Name of the product in this design: Handheld GPS Device. 2. Purpose of this design: For GPS navigation. 3. The key design features of this product are the combination of shape and pattern. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The invention discloses a GPS navigation single-arm robot navigation system for percutaneous nephrolithotripsy (PCNL), which comprises a reverse laser positioning module used for emitting laser from inside to outside of tissues through a laser emitter to assist in positioning an insertion point of a surgical puncture needle; the single-arm robot execution module is used for driving a puncture needle to arrive at the body surface puncture point marked by the laser spot along a planned path based on instruction movement of the navigation signal tracking and fusion module and executing puncture; the navigation signal tracking and fusion module is used for tracking signals, receiving and processing spatial position information and medical image data and generating a real-time navigation interface; the special instrument suite comprises an integrated double-endoscope sleeve, and the inner diameter of the sleeve allows the standard nephroscope or the flexible ureteroscope to conduct combined lithotripsy or exploration at the same time. According to the invention, reverse optical positioning, robotics, real-time electromagnetic navigation and special instrument innovation are integrated, and an integrated intelligent solution for covering preoperative planning, intra-operative navigation, channel establishment and stabilization of the whole process is provided.

The invention discloses an unmanned vehicle positioning and navigation method based on multi-sensor data fusion. An unmanned vehicle carries a laser sensor, an IMU sensor and a GPS navigation system. The laser sensor, the IMU sensor and the GPS navigation system are fused into the same coordinate system through external parameter calibration; unifying trigger pulses of all the sensors so as to synchronize acquisition timestamps of the laser sensor, the IMU sensor and the GPS navigation system; according to the campus area type in the campus scene, the fusion weight of the laser sensor, the IMU sensor and the GPS navigation system is adjusted in real time, and outdoor positioning and indoor positioning of the unmanned vehicle are completed; according to the invention, multi-sensor data fusion positioning is realized, and the precision and stability of unmanned vehicle positioning in an outdoor environment and an indoor environment are improved.

The air quality monitoring alarm recommendation system, method and computer device of the present invention can provide a travel decision based on the air quality and people's health status, and a list of things to prepare when traveling. In view of the fact that the air quality in streets changes rapidly and that some areas cannot be monitored when vehicles monitor the air quality during route navigation, when monitoring the air quality, the air quality collection unit on the building is preferentially used for preliminary air quality monitoring, and then the data is transmitted to the user. The user plans multiple navigation routes based on the data in combination with the GPS navigation module. The system also includes a mobile air quality precision monitoring component, which can monitor the air quality in real time on the driving route. It includes an air particle rapid detector and several air purifiers. The air quality can be preferentially detected by the air particle rapid detector. When the air quality does not meet the standard, several air purifiers are started for air purification.

This invention discloses an intelligent navigation four-row rice transplanter and its transplanting method. The invention includes a chassis, a seedling box device, a seedling picking device, and an auxiliary seedling delivery device. The invention plans the global operation path through a controller and uses a GPS navigation module for positioning, achieving unmanned operation. The seedling picking device's lifting mechanism drives its elevation to adapt to different planting depth requirements. Furthermore, the longitudinal movement device of the seedling box device drives the elevation of the seedling box assembly, adjusting the height difference between the seedling box assembly and the seedling picking mechanism, thereby adjusting the amount of seedlings picked by the picking claws in the seedling picking mechanism to adapt to different transplanting agronomic requirements. The auxiliary seedling delivery device assists in delivering seedlings to the seedling box assembly. This invention achieves unmanned operation with intelligent navigation along the rice crop row path, adaptive elevation of the seedling box assembly and seedling picking arm for different paddy fields, rice seedling picking, and fully automated rice transplanting, effectively improving the level of intelligence in rice transplanting.

The application discloses a kind of methods for preventing ETC gantry system misreading, belong to highway electronic communication technical field, including the following steps: S1, when vehicle travels, vehicle-mounted equipment is with GPS navigation module and the data transmission of automobile sensor module acquisition vehicle-mounted equipment terminal;S2, path screening module on vehicle-mounted equipment terminal is possibly screened out by the positioning of GPS navigation module Vehicle travel path;S3, vehicle speed comparison module on vehicle-mounted equipment terminal compares vehicle speed and travel speed on possible travel path screening, when vehicle travels on highway, accurate highway route can be screened by the screening of vehicle speed comparison module;It can realize effectively preventing the misreading of vehicle travel lane adjacent direction ETC gantry to vehicle-mounted electronic tag, the problem of reverse tolling caused, while ensuring the accuracy of charge without increasing the construction cost and transaction success rate of ETC gantry, so as to ensure the normal operation of ETC system.

The present invention discloses a system and method for autonomous landing of a rotary-wing UAV based on a mobile platform. By designing a multi-scale nested combination mark to meet the recognition requirements of a monocular camera at different distance gradients, the drone's monocular camera maintains a recognizable mark at different altitudes during landing. Simultaneously, an auxiliary landing system calculates and estimates the mobile platform's speed and position, and uses the acquired drone's speed and position to assist in landing. This system and method achieves autonomous landing of the drone on the mobile platform by switching between three basic states: GPS navigation, visual cruise, and visual navigation. It features high landing efficiency and strong stability.

This invention provides a method and device for detecting GPS spoofing attacks on unmanned aerial vehicles (UAVs) based on contrastive learning and Mamba, relating to the field of UAV navigation security monitoring technology. The method includes: acquiring UAV GPS navigation data, preprocessing it to generate multiple trajectory subsequences of fixed window length to obtain initial time-domain data, and performing frequency-domain transformation on the navigation data to obtain initial frequency-domain data; inputting the initial time-domain data and initial frequency-domain data into a trained dual-branch Mamba model for feature extraction, and outputting time-domain features and frequency-domain features respectively; calculating a spoofing score based on the time-domain features and frequency-domain features, and determining the detection result of the spoofing attack behavior based on the spoofing score; wherein, the two branches in the dual-branch Mamba model share weights; the spoofing attack detection model is trained based on a contrastive learning strategy. This invention can reduce reliance on manual labels while maintaining both modeling efficiency and detection accuracy for long-sequence navigation data.

The application discloses a Beidou auxiliary navigation switching system and method for a civil aircraft, and solves the problems of unavailable GPS navigation, navigation precision decline, loss of integrity and continuity, and route error caused by a deceptive signal in the flight stage of the civil aircraft by taking the Beidou auxiliary navigation as an emergency navigation source when all GPS modules are determined to be invalid by a navigation switching module and an airborne flight management module in cooperation, and only needs to install the Beidou auxiliary navigation module and the navigation switching module in the civil aircraft itself, without changing the civil aircraft itself, so that the process is simple and not complicated.

Methods and associated systems for autonomous package delivery utilize a UAS / UAV, an infrared positioning senor, and a docking station integrated with a package delivery vehicle. The UAS / UAV accepts a package for delivery from the docking station on the delivery vehicle and uploads the delivery destination. The UAS / UAV autonomously launches from its docked position on the delivery vehicle. The UAS / UAV autonomously flies to the delivery destination by means of GPS navigation. The UAS / UAV is guided in final delivery by means of a human supervised live video feed from the UAS / UAV. The UAS / UAV is assisted in the descent and delivery of the parcel by precision sensors and if necessary by means of remote human control. The UAS / UAV autonomously returns to the delivery vehicle by means of GPS navigation and precision sensors. The UAS / UAV autonomously docks with the delivery vehicle for recharging and preparation for the next delivery sequence.

The application discloses a robot indoor and outdoor navigation switching method and system based on a large language model. Multidimensional data of the environment where the robot is located is obtained by using a multi-modal sensor, including visual images, laser radar point clouds, GPS signals, and IMU data. The preprocessed images are input into a visual encoder to extract key visual features. The large language model uses these features for reasoning, combines with an internal scene knowledge base, and outputs a scene judgment result. To enhance the accuracy of scene judgment, the change trend of multi-frame image features is analyzed based on a time sliding window. An extended Kalman filter is used to weight and fuse multi-modal sensor data in the indoor and outdoor transition area. When the navigation mode is switched, a dual-mode parallel running mechanism is used, and SLAM and GPS navigation modes are activated simultaneously in the indoor and outdoor transition area. By dynamically adjusting the weights of SLAM and GPS, the target navigation mode is gradually transitioned at the data fusion level, and smooth switching is realized.

The invention discloses an unmanned aerial vehicle attitude control abnormity monitoring method and system based on data driving, and relates to the technical field of unmanned aerial vehicle attitude control. The method comprises the steps of establishing an unmanned aerial vehicle data control center, and planning a flight path of an unmanned aerial vehicle; an attitude data acquisition chip is arranged in the unmanned aerial vehicle, and millisecond data acquisition is performed by using the attitude data acquisition chip; and the control server carries out fitting comparison on the actual flight attitude route of each time node and the path planning route of the corresponding time node, carries out comparative analysis on yaw data and a driving database, and finds a deviation correction route instruction for correcting the route. The system comprises a data control center, an attitude data acquisition chip in the unmanned aerial vehicle, a gyroscope, a magnetometer, an accelerometer, a GPS navigator and a radar which are arranged in the unmanned aerial vehicle, and a signal base station established on the ground; and a driving database is established in the control server. According to the method, the problems that the generalization ability of an existing model is reduced, the prediction result is unstable or the sensitivity to abnormal data is increased are solved.

The application discloses a port automatic driving vehicle positioning method and system based on RFID, which comprises the following steps: using the strength and corresponding phase information of the RFID ground calibration signal received by the RFID transceiver to guide the AGV to reach the vicinity of the specified position, using the GPS navigation system to provide the direction information; when the AGV reaches the specified driving section guided by the GPS, the RFID transceiver sends the signal to the ground calibration to determine the accurate distance between the AGV and the ground calibration, and the AGV reaches the specified ground calibration position through the predetermined trajectory route, i.e. through the sequence of the ground calibration; the RFID transceiver determines the distance between the RFID label and the RFID ground calibration to complete the locking of the final position. The RFID system which is simple and easy to deploy is used to weaken or eliminate the negative influence of the equipment noise, the environmental noise, the signal reflection and the signal shielding on the positioning accuracy, so that the dependence of the system on the environment and the equipment is reduced while the positioning method accuracy is improved, and the practical application requirements of the port AGV positioning are met.

The task of the invention is to construct a low-altitude management system for controlling safe flight of all nationwide low-altitude aircrafts in real time through a low-altitude management wide area network by adopting a new-generation information technology, integrating remote sensing and GPS navigation technologies and the like. The axiom physics is a physical basic theory of a new generation of information technology, GPS navigation technology and the like. The invention depends on five laws in'axiom physics' to solve the world problem of physics publication. Wherein the macroscopic axiom physics constructed by two object essential laws is expected to replace the classical mechanics and relativistic theory. The microcosmic axiom physics created by two particle natural laws can derive five public settings in quantum mechanics, and has potential to replace quantum mechanics. In addition, a particle phase invariant theorem is deduced according to a basic force law in a particle access theory.

The utility model discloses an intelligent weeding robot, which relates to the field of weeding robots and comprises a weeding structure arranged at the bottom of a rack, the weeding structure consists of an adjustable support and a laser weeding structure, and the laser weeding structure comprises a pumping laser transmitter, a heat dissipation structure and a high-definition camera. A heat dissipation structure adopts the design of a hollow shell, a heat dissipation fin group and a micro circulating pump, and cooling liquid circulation is combined with a barb-shaped auxiliary heat dissipation sheet, so that the laser can efficiently dissipate heat and stably operate for a long time; a walking structure, a control device and a machine cover with a GPS antenna and a shadowless lamp are arranged on the machine frame, a protection plate and a steering engine drive walking wheel are arranged on the machine frame, an obstacle avoidance radar is arranged on a hub motor shaft, and the laser radar, the shadowless lamp, the GPS antenna and the like are electrically connected with a PLC to achieve intelligent control. Soil disturbance is avoided through laser precise weeding, the reliability of equipment is improved through a heat dissipation structure, the recognition precision is improved through a high-definition camera, and the autonomy of GPS navigation and obstacle avoidance functions is enhanced.

The present application relates to the technical field of unmanned aerial vehicle detection, in particular to a segmented mean constant false alarm rate detection method based on FFT accumulation; first, the collected unmanned aerial vehicle digital signal is subjected to 75% time overlap FFT spectrum accumulation processing, then a segmented mean constant false alarm rate algorithm is used for dynamic threshold detection, a constant false alarm rate threshold V T is calculated, the size of the current frequency point data frame and the constant false alarm rate threshold V T is compared, and the index number and data frame of the frequency point greater than the constant false alarm rate threshold V T are output, the accuracy of noise threshold acquisition and the sensitivity of signal detection are improved, the problem of large noise variance fluctuation caused by non-uniform clutter such as GPS navigation, mobile phone communication signal and wifi signal in the environment is avoided, and more distant target detection is realized.

The invention provides an under-coal reservoir exploration-oriented in-well seismic data acquisition method, and belongs to the technical field of oil and gas field exploration and development engineering.The method comprises the following steps that a Walkaway VSP observation system is arranged, the Walkaway VSP observation system comprises excitation point measuring lines and a receiving point system, each excitation point measuring line is provided with a set of seismic sources, and each excitation point measuring line is provided with a set of seismic sources; the receiving point system comprises a plurality of detectors; the seismic sources are controlled to be excited alternately, excitation point positions of the seismic sources are marked through GPS navigation and a manual method, seismic data in a well are collected, and the underground horizontal orientation of the detector does not change during collection. According to the method, data collection is more stable, the reliability of seismic data collection in the well is ensured, errors generated by data collection are reduced, and the prediction precision of the under-coal reservoir is improved by accurately obtaining the in-well seismic information reflecting the under-coal reservoir.

The invention discloses a wolfberry picking device, which belongs to the field of agricultural machinery and comprises a machine body, and a wolfberry picking system and a wolfberry collecting system which are symmetrically arranged in the machine body. According to the invention, by applying machine vision, a color identification technology, GPS navigation and other technologies, automatic control of wolfberry picking and transportation is realized, and the wolfberry picking and transportation efficiency and the planting economic benefit are effectively improved. In addition, a design thought of an agricultural Internet of Things system is also provided, and intelligent management in an agricultural production process is realized.

The invention provides a trajectory prediction method during GPS failure, and the method specifically comprises the following steps: entering a trajectory prediction mode when a current GPS signal is invalid, exiting the trajectory prediction mode when the current GPS signal is valid, and predicting the position of a vehicle at the next moment based on the current course angle and running speed of the vehicle in the trajectory prediction mode, and the position at the next moment is used as the current position, and the vehicle position at the next moment is estimated. When the fact that the position information collected by the GPS navigation system is invalid is detected, the MPU enters a track estimation mode, the driving distance is determined based on the driving speed of the vehicle, then the driving distance is converted into the longitude and latitude of the position of the vehicle based on the course angle, and on the premise that no hardware equipment is additionally arranged, prediction of the track of the vehicle under the condition that the GPS signal is lost is achieved. The method is especially suitable for the situation that the GPS signal temporarily loses efficacy when the vehicle passes through the tunnel.

1. The name of the design product: electrical connector (flip cover type). 2. The use of the design product: used for the connection of mainboard and screen, and mainboard and power supply of electronic equipment (computer, liquid crystal display, scanner), mobile equipment (mobile phone, tablet, notebook computer), printing equipment (printer, copier), navigation equipment (vehicle-mounted GPS navigation) and medical equipment. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.