227 results about "Weather condition" patented technology

A system and method of calculating an estimated time of arrival for a traveler is provided, along with a notification of this estimated time that is sent to a third party. The traveler is equipped with a navigation unit having a global positioning sensor and a wireless communications device. The navigation unit communicates with a service center equipped with a server capable of generating a preferred navigational route for the traveler. The service center also includes a traffic database for maintaining current traffic information. Once the traveler has selected a predetermined time and frequency of notifications based upon a selected criterion, the navigation unit transmits the traveler's position and velocity to the service center. The service center then calculates the estimated time of arrival based upon the traveler's position, velocity, distance to be traveled and traffic and weather conditions. Once this time is calculated, the service center sends a notification to the third party.

This invention discloses an airport FOD (Foreign Object Debris) detection and removal system and method based on multi-source sensing fusion. The system includes a mobile transport chassis, a multi-source heterogeneous sensing unit, a six-degree-of-freedom collaborative robotic arm, a composite cleaning end effector, and an edge computing platform. During operation, environmental data is first collected using LiDAR, millimeter-wave radar, and a binocular camera. Spatiotemporal fusion and state estimation algorithms are used to achieve all-weather, high-precision positioning and attribute calculation of FOD. The composite cleaning end effector integrates a high-negative-pressure suction port, a ring-shaped electromagnetic adsorption array, and a flexible mechanical claw. Subsequently, the system adaptively switches between magnetic suction, suction pickup, or gripping modes based on the material, volume, and shape characteristics of the FOD, and combines a visual closed-loop feedback mechanism to automatically upgrade and verify the cleaning strategy. This invention effectively solves the problems of poor perception robustness under complex weather conditions and insufficient adaptability of single cleaning methods, significantly improving the intelligence level and operational efficiency of airport pavement foreign object removal.

The present application discloses a method, system, and computer system for detecting inclement weather driving conditions. The method includes obtaining an image captured by a camera mounted to a vehicle, determining a classification for road and weather conditions using a condition prediction model to analyze the image, in response to determining that the classification for road and weather conditions matches a particular predefined road and weather classification, determining an active measure associated with the particular predefined road and weather classification, and causing the active measure to be performed.

This invention discloses a crop-adaptive agricultural meteorological observation system, belonging to the field of agricultural meteorological observation technology. It integrates multiple devices to collaboratively measure various meteorological variables to indicate weather conditions, deploys them in a grid-like layout, and collects and transmits data regularly. It collects key growth parameters according to crop growth stages and synchronously correlates them with meteorological data; optimizes data and accurately matches it to construct a fusion dataset; establishes a correlation model to identify key meteorological factors; adjusts observation parameters according to crop needs; sets two-level early warnings and pushes information through multiple channels; retrieves data from multiple dimensions and securely stores it; and provides visual operation and parameter setting functions. This invention improves the accuracy of meteorological data through multi-variable collaborative observation, dynamically adapts to the needs of different crop growth stages and varieties, provides comprehensive regional collaborative observation coverage, timely and targeted early warnings, supports linkage with external devices, promotes the refinement and intelligence of agricultural meteorological observation and planting management, and helps ensure crop growth.

This invention discloses an intelligent terminal system that changes the interface skin according to environmental changes, relating to the field of communication technology. The system includes the following steps: acquiring the driver's gender information and determining the main color scheme of the interface based on the gender information; collecting the driver's facial emotions and generating a face recognition result; collecting the brightness value inside the bus and comparing the brightness value with a set threshold to obtain the current brightness level; acquiring the current location information of the bus and connecting to a server to obtain the current weather conditions based on the location information; comprehensively analyzing the obtained data and searching and configuring it with an interface database, outputting the configured result, and changing the current interface skin to the updated interface skin to complete the skin change; judging the driver's emotional state based on the skin change result and providing reminders to the driver accordingly. This invention not only changes the traditional impression left by in-vehicle terminal devices on customers but also improves vehicle driving safety and enhances user satisfaction.

This utility model discloses an automotive wheel hub testing fixture, including a fixed platform with an outer frame fixedly connected to it. A detection mechanism and a fixture connection mechanism are arranged on the fixed platform, with the detection mechanism located at the side of the fixture connection mechanism. This automotive wheel hub testing fixture, through a heating mechanism in a fourth chamber and a cooling mechanism in a third chamber, combined with unidirectional ventilation holes in the second and third partitions, can simulate extreme temperature environments. Real-time monitoring and feedback are achieved using temperature sensors, adapting to performance testing of wheel hubs under different climatic conditions such as high-temperature exposure and low-temperature freezing. Simultaneously, the rubber friction stripes on the outer side of the wheel simulate road surface friction, and a pressure sensor monitors the contact pressure in real time, reproducing the wheel hub's stress state under different driving loads. This enables comprehensive testing of both temperature and load variables, covering complex scenarios in actual use, thereby detecting the quality of the wheel hub.

The application discloses a kind of single vehicle control methods based on scene style migration and SAC network cooperation, including steps: S1, using SUMO tool to build simulation platform;S2, construct single vehicle longitudinal control model, SAC network is used to obtain traffic state from simulation platform, then take action control vehicle behavior, after action execution, agent receives the reward value updated agent parameter that simulation platform feedback;S3, define policy network, output the numerical value of acceleration;Define value function network, output layer represents the estimation of state value;S4, through the vehicle control experimental platform built in call SUMO to simulate different weather conditions, and build measurement model;S5, on the basis of single vehicle longitudinal control model build migration learning framework;S6, using migration learning will train convergent single vehicle longitudinal control model to be transplanted to different weather conditions and train.The application can effectively inhibit traffic stop and go wave, ensure traffic safety, reduce fuel consumption.

This invention provides a vehicle supporting automated valet parking. The vehicle control unit acquires weather conditions for the use of automated valet parking, determines the validity of infrastructure sensors installed in the parking lot based on the weather conditions, and also determines the validity of onboard sensors based on the weather conditions. The vehicle control unit performs automated valet parking based on sensing information from at least one of the valid infrastructure sensors and onboard sensors.

A system and a method include a control unit configured to determine a position of an aircraft within an airspace from tracking information received from a tracking sub-system. The control unit is further configured to associate weather conditions with the position within the airspace. The weather conditions are detected by one or more sensors of the aircraft.

This invention relates to an adaptive severe weather image restoration method based on continuous testing, belonging to the field of computer vision and image processing technology. It includes the following steps: constructing a severe weather dataset and dividing it into training and testing sets; constructing a severe weather image restoration framework, including a pre-trained model DA-CLIP, a student model, and a teacher model; inputting the publicly available dataset into the pre-trained model DA-CLIP for training, and initializing the student and teacher models using the parameters of the trained DA-CLIP model; inputting the training set of the severe weather dataset into the student and teacher models respectively for model training and optimization, obtaining a trained severe weather image restoration framework; inputting the test set images of the severe weather dataset into the trained severe weather image restoration framework to obtain the image restoration result. This invention can improve the model's image restoration performance under complex and realistic weather conditions.

We provide the system. [Solution] Collect fish finder data, By integrating past weather conditions, seasons, and fishing records, and analyzing them with artificial intelligence, A means for notifying an information processing device of information indicating the location of the fishing grounds in coordinates, A means to function as a platform for information recipients to act efficiently, with the aim of managing urban resources. Based on the analyzed data, this information will be provided to fishermen as a means to optimize resource utilization within urban areas. A system that includes this.

This invention relates to the field of unmanned aerial vehicle (UAV) flight control technology, and discloses a method for adaptive adjustment control of UAV flight attitude. Addressing the problems of unstable flight and untimely or inaccurate attitude adjustment of UAVs in complex weather conditions and variable terrain, this method deploys multiple types of sensors on the UAV to collect flight data in real time, including information such as air pressure, wind speed and direction, and attitude angles, and transmits the data to a central processing unit (CPU). The CPU analyzes and processes the data based on a preset algorithm model. When it detects a deviation in flight attitude from a set value, it automatically adjusts the UAV's rotor speed, wing angle, and other actuators to achieve rapid adaptive adjustment of flight attitude. This method effectively improves the flight stability and reliability of UAVs in complex environments and can be widely applied in fields such as aerial surveying, material delivery, and environmental monitoring, ensuring efficient and safe operation of UAVs.

The invention provides a vehicle scene reconstruction method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring image data acquired by a vehicle, multi-frame millimeter wave radar data and inertial measurement unit data; when it is recognized that the weather state of the environment where the vehicle is located is severe weather, the severity level of the severe weather is determined; according to the severity level, performing fusion processing on the multiple frames of millimeter wave radar data to obtain accumulated radar data; performing enhancement processing on the accumulated radar data to generate enhanced radar data; performing dedegradation processing on the image data according to the enhanced radar data to generate an enhanced image; and generating three-dimensional scene reconstruction data of the surrounding environment of the vehicle according to the enhanced image, the enhanced radar data and the inertial measurement unit data. Therefore, a stable and accurate three-dimensional scene reconstruction result can be output in severe weather.

Disclosed is an electric vehicle capable of being continuously charged using wind energy, comprising: an air inflow part (110) formed to allow wind to flow in during travel; a turbine (120) formed at the rear end of the air inflow part (110) and rotated by wind energy; a power generation unit (130) for generating electric power; a power source unit (140); a sensor unit (160) formed on the front surface of the electric vehicle (10) and comprising a wind velocity sensor (161) for measuring wind velocity during travel, a rainfall sensor (162) for measuring rainfall during a rainy season, a snowfall sensor (163) for measuring snowfall during snowfall, and a sandstorm sensor (164) for measuring a sandstorm; and a controller (150) electrically connecting a battery (141) and an electric motor (11) by means of an electrical system and controlling the charging of the battery (141) by the power generation unit (130), wherein the air inflow part (110) comprises an air inflow path (111) recessed at each side or the center of the lower front part of the electric vehicle (10) and an opening / closing hole (112) formed at the air inflow path (111), opening / closing same, and having an aperture structure in which multiple air-through holes are arranged, and the controller (150) analyzes each value measured by the wind velocity sensor (161), the rainfall sensor (162), the snowfall sensor (163), and the sandstorm sensor (164), so as to operate the opening / closing hole (112) and thereby regulate the airflow that flows into the air inflow path (111), and thus generate electric power using wind energy regardless of the driving environment and weather conditions, which enables continuous charging.

1. Name of the product in this design: Graphical User Interface for Defogging Display Function of Smart Bathroom Mirror (VMOS-PRO-6.0). 2. Purpose of this design: This design is used to run programs and display graphical user interfaces for user interaction. 3. The key design features of this product are the graphical user interface content on the product screen. 4. The image or photograph that best illustrates the design's key features: the front view. 5. The smart bathroom mirror in this design is a conventional design, and other views are omitted; this graphical user interface is used to demonstrate the defogging display function. 6. Human-computer interaction method of graphical user interface: Clicking on the icons of each module in the main view will enable the corresponding function. Clicking the "Smart Mode" button of the "Defogging" module in the main view will turn off the defogging function and jump to the interface change state diagram 1. Slide the interface change state diagram 1 to jump to the interface change state diagram 2. Clicking the "Control" icon in the lower right corner of the interface change state diagram 2 will jump to the interface change state diagram 3, where the corresponding function operation can be performed. Clicking the "Clean" icon in the interface change state diagram 3 will bring up the pop-up window shown in the interface change state diagram 4. The main view usage state reference diagrams 1 to 4 show the display of the corresponding weather module in the main view under some different weather conditions.

The invention relates to the technical field of foundation pit deformation prediction, in particular to a full-buried sewage plant deep foundation pit deformation prediction method based on multi-source monitoring. According to the multi-time-scale data change rate of each monitoring point of a target deep foundation pit, a time sequence feature vector is formed, and according to the environmental parameter time sequence change of a future sudden weather working condition, a prediction monitoring data time sequence vector is generated in combination with prediction monitoring data of each monitoring point before the working condition occurs; performing prediction monitoring data comparison on each monitoring point and an associated monitoring point to form a prediction monitoring data space vector, fusing a time sequence and the space vector to screen similar historical samples, and constructing a prediction mapping relation based on historical monitoring data of the similar historical samples and deformation; and the prediction time sequence deformation amount of the future sudden weather condition is output, and safety early warning is carried out, so that refined and intelligent prediction of deep foundation pit deformation is realized, the timeliness and effectiveness of safety early warning are ensured, and the engineering safety accident risk is reduced.

This invention discloses an energy-saving and environmentally friendly construction water tank, relating to the field of construction technology. It includes a water storage tank with a water storage plate fixed to the top. Symmetrical return channels are formed on the water storage plate, and an inlet channel communicating with the inside of the water storage tank is formed at the bottom of the return channels. A sealing plate is slidably connected inside the inlet channel. A flow guiding mechanism for guiding rainwater is located directly above the water storage plate. A filter screen is fixed inside the water storage tank, and a self-cleaning mechanism is provided on the filter screen. This invention optimizes the rainwater collection structure of existing water tanks. The designed flow guiding mechanism can adjust the tilt angle of the flow guiding plate according to weather conditions, allowing rainwater to contact the flow guiding plate over a larger area, ultimately converging on the water storage plate and entering the water storage tank from the inlet channel for collection. This achieves rainwater collection by increasing the rainwater receiving area, maximizing rainwater collection. Furthermore, the self-cleaning mechanism automatically cleans the filter screen during operation of the flow guiding mechanism to prevent clogging.

The application discloses a kind of high-impact weather condition-oriented wind power prediction information filtering method.It realizes the dynamic soft selection and reweighting of different input variables under different weather conditions through instance-level attention recalibration, improves the effective signal-to-noise ratio, and reduces the interference of noise channels on the learning process.At the same time, it removes irrelevant random disturbances from the information flow by variational information bottleneck compression regularization term, alleviates overfitting and noise memory problems caused by relying only on error minimization, and improves cross-condition generalization ability.Compared with the prior art, the present application can effectively filter out random disturbances irrelevant to the prediction task under the condition of strong noise and distribution fluctuation caused by high-impact weather, improve the stability, robustness and cross-scene generalization ability of the wind power prediction model, and have good engineering application value.

The application discloses a forest fire prevention and extinguishing auxiliary decision system method and device, system and storage medium, which comprises the following steps: S1, collecting data related to forest fire fighting in real time through sensors, unmanned aerial vehicles and on-site report multi-source means; S2, calculating the fire-fighting personnel capacity, fire-fighting equipment capacity, weather influence coefficient and fire field complexity coefficient according to the data related to forest fire fighting, and simultaneously calculating the fire-fighting capacity value; S3, calculating the required number of fire-fighting resources according to the fire-fighting capacity value and fire extinguishing demand; and optimizing the allocation scheme of the fire-fighting resources according to the calculation result. The technical scheme of the application replaces subjective judgment with a quantitative model, unifies fire-fighting resource scheduling, ensures accurate matching of resource input and fire field scale, weather conditions and personnel quality, avoids waste or deficiency, responds to fire field changes in real time, and improves fire extinguishing efficiency.

This invention discloses a method and apparatus for defect detection in power distribution network equipment based on multi-model collaboration, aiming to solve the problem of low defect detection accuracy caused by complex weather interference and noise labeling. The method includes: constructing a power distribution network defect detection dataset containing different weather interferences and noise labeling; building and training a multi-model collaborative detection model containing five modules: a weather interference quantification module calculates the interference coefficient ω; a multi-expert integration module constructs sub-models based on YOLOv8 and configures independent training conditions; a labeling consistency voting module marks suspicious samples; a suspicious sample adaptive relabeling module updates the labels; and a noise-aware loss function module dynamically adjusts the loss weights. A new image is input, inferred by the model, and the defect category, bounding box, and confidence score are output. This invention improves the robustness of detection under complex weather conditions, reduces the impact of noise labeling, and effectively improves the accuracy and efficiency of defect detection in power distribution network equipment. It is suitable for power distribution network inspection scenarios and has significant engineering application value.

This application belongs to the field of fire patrol route optimization technology, specifically providing a method and system for dynamic fire risk assessment and fire patrol route optimization. The method mainly includes: acquiring multi-source observation data of the assessment unit; establishing a hidden Markov model based on historical multi-source observation data; generating a first probability value for the assessment unit being in a preset first risk state and a second probability value for being in a preset second risk state based on real-time multi-source observation data using the hidden Markov model; adjusting the probability parameters in the hidden Markov model according to real-time weather data meeting preset weather conditions; and regenerating the second probability value to obtain the optimized patrol route. This application enables the proactive identification of areas where risk increases sharply due to the superposition of weather and anomalies, generating patrol routes that prioritize coverage of such areas. This allows the deployment of patrol forces to match the dynamically changing high-risk distribution, significantly improving the accuracy and timeliness of proactive prevention and control.

A computer-implemented method includes using an image captured by a vehicle camera on the vehicle to determine a vehicle visibility distance for the vehicle with a computing device on the vehicle. The determined vehicle visibility distance is compared to a predetermined desired visibility distance and a first drone is used at the vehicle visibility distance away from the vehicle when the vehicle visibility distance is less than the predetermined desired visibility distance. An image captured by the vehicle camera is combined with a first drone video image captured by the first drone to provide a combined image having a total visibility distance of a sum of the vehicle visibility distance and a first drone visibility distance.

This utility model relates to the technical field of greenhouse shading net support frame, and more particularly to an adjustable height greenhouse shading net support frame, comprising several pipe assemblies. Each pipe assembly includes a steel pipe, the bottom end of which is connected to an insert shaft. An inner retractable rod is inserted into the top end of the steel pipe through a through groove, and a winding head is connected to the top end of the inner retractable rod. A through groove is formed on the side of the steel pipe, and a plate seat is connected to the inner wall of the through groove. A locking screw is inserted into the side of the plate seat through a threaded hole. Several positioning holes are formed on the surface of the inner retractable rod, which are adapted to the end of the locking screw. This utility model, by setting up the pipe assembly, achieves the lifting and adjustment of the inner retractable rod. The height of the winding head can be freely changed by the telescopic movement of the inner retractable rod inside the steel pipe. The positioning holes on the surface of the inner retractable rod allow for multi-level adjustment, enabling workers to adjust the inner retractable rod according to seasonal changes, weather conditions, or the needs of different crops.

This invention discloses a drying device. The design of the base and detachable drying baskets allows for convenient loading and unloading of drying items, improving the ease of daily drying operations. The collaborative work of the rainproof mechanism, detection mechanism, and electronic control module changes the traditional passive situation of relying on manual supervision and maintenance for drying. Addressing the unpredictable weather conditions of summer, frequent typhoons, and the foggy and windy autumn, the device can sense weather changes in real time and automatically trigger protective actions. It can quickly unfold a tarpaulin to cover the drying baskets without manual intervention, preventing the dried items from getting wet from rain, being blown away by strong winds, or being damaged by fog and moisture, thus ensuring the quality of the dried goods. Simultaneously, the infrared detector and camera in the detection mechanism, along with a buzzer, can promptly detect and drive away small animals that try to steal the dried goods, reducing food waste and further minimizing losses for the public.

This invention relates to the field of hydrological telemetry technology and provides a hydrological telemetry method and system based on edge computing. The invention acquires hydrological telemetry data from multiple telemetry points, identifies multiple adjacent telemetry points corresponding to each point, and extracts data from these adjacent points. It then performs adjacent impact analysis to screen multiple effective telemetry points; acquires aquatic meteorological data; performs wave impact analysis on the multiple effective telemetry points; selects key telemetry points; and acquires relevant impact data. Based on edge computing technology, it performs safety calculations and telemetry early warnings for wave impacts. This allows for the screening of effective telemetry points and the selection of key telemetry points. Furthermore, based on edge computing technology, it performs direct safety calculations and telemetry early warnings for wave impacts at key telemetry points. This enables complex risk assessment of wave climb under complex weather conditions, achieving rapid and effective hydrological telemetry water level risk early warning.

This utility model proposes a safety protection device for walking during bridge superstructure construction, belonging to the field of bridge construction technology. The device includes two movable trolleys mounted above the bridge deck, each trolley equipped with a winch connected to a steel wire rope. A suspended platform is connected to the bottom of the steel wire rope and positioned below the bridge deck. Reinforcing cages for guardrail construction are located on both sides of the bridge deck. The device also includes a stabilizing mechanism fitted onto the steel wire rope and a fixing mechanism connected to the rear end of the trolleys. This utility model, applied during bridge structure construction, solves the problem of wear and tear on the steel wire rope and bridge deck caused by gaps between them and weather conditions such as wind. It also improves the overall stability of the suspended platform, enhances the convenience of trolley fixing, and facilitates trolley movement.

This application provides a heliostat intelligent correction control method based on four-quadrant meteorological monitoring and an intelligent correction control system for a tower solar thermal power plant. The method includes: collecting real-time DNI values ​​from meteorological stations in the southeast, southwest, northwest, and northeast quadrants of the tower solar thermal power plant's mirror field, as well as the time-series operating parameters of the heliostat, to obtain real-time monitoring data; determining the operating status of each quadrant based on the real-time monitoring data, including real-time DNI values, DNI change slopes, and fluctuation amplitudes, whereby the operating status includes normal or abnormal; and executing a preset correction strategy based on the operating status of each quadrant. The technical solution of this application provides a heliostat correction method that simultaneously addresses systematic deviation correction and suppresses random meteorological interference, thereby improving the accuracy of angle prediction and tracking stability under complex weather conditions.

This invention provides a multimodal incremental railway fastener defect detection method and system under severe weather conditions, belonging to the field of target recognition technology. Step 1: Sequentially construct training and validation sets for multimodal railway fasteners under rain, snow, fog, strong light, low light, and normal weather conditions; construct a global test set containing multimodal railway fastener data for all six weather conditions. Step 2: Construct a full-cycle closed-loop mechanism for multimodal target detection to achieve continuous learning in continuously evolving scenarios. Step 3: Propose a dual-space replay screening strategy for meta-features to extract challenging and representative high-value samples for inclusion in the replay pool. Step 4: Propose a wavelet-guided non-adversarial detail injection module to resolve the adversarial conflict between noise removal and style preservation in incremental learning. This invention can continuously adapt to various severe weather changes in railway scenarios, effectively alleviate the problem of catastrophic forgetting, and achieve accurate detection of fastener defects under various severe weather conditions.