18results about How to "Accurate perception" patented technology

This disclosure relates to the technical field of gas pipeline condition monitoring devices. It provides a collision alarm device for overhead natural gas pipelines, used to monitor the columns supporting overhead natural gas pipeline sections. The device includes a swing arm, a sliding member, a pressure sensor, and an elastic member. The swing arm is oscillatingly mounted on the column. The sliding member is slidably mounted on the column and contacts the swing arm, configured such that after the swing arm oscillates, the swing arm pushes the sliding member to slide. The pressure sensor is mounted on the column and is used to transmit data to an external controller. The two ends of the elastic member act on the sliding member and the pressure sensor, respectively, to absorb the force between the swing arm and the sliding member and transmit the force to the pressure sensor. This technical solution solves the problem in related technologies where collisions or scrapes between external objects cause pipeline leaks in overhead sections of natural gas pipelines or columns, leading to untimely detection, natural gas loss, and increased on-site safety hazards.

The application relates to the technical field of intelligent interaction systems and automobile customer service marketing, and discloses a traffic automobile customer service marketing method and system based on a large language model, wherein the traffic automobile customer service marketing method based on the large language model comprises the following steps: collecting driver fixation point data by using an eye movement tracking algorithm to generate eye movement trajectory data sets; constructing a visual attention heat map to form a user attention distribution model; calculating multi-medium characteristic parameters to establish a medium characteristic model; using the large language model to generate and adapt personalized marketing content and output multi-medium compatible marketing information; realizing intelligent attention guidance according to the user attention distribution model, the medium characteristic model and the multi-medium compatible marketing information; and realizing accurate perception and quantitative analysis of the visual attention of the driver through the eye movement tracking technology, so that the marketing system can master the user focus points in real time, and the technical problem that a traditional interface cannot perceive actual user focus points is solved.

This invention discloses a green and ecological planting method for daylilies, belonging to the field of agricultural planting technology. It addresses the technical problems of excessive reliance on chemical fertilizers and traditional mulching in current daylily cultivation, leading to soil ecological imbalance and low fertilizer utilization. The method includes: applying organic fertilizer made from cow and sheep manure and Asteraceae plant residues through aerobic composting, using a layered strip application method. First, fully decomposed organic fertilizer is applied as a base fertilizer layer in the planting furrow, followed by semi-decomposed organic fertilizer that has completed the main fermentation stage but not the later aging stage as a middle layer fertilizer; after land preparation and ridging, wood ash is spread on the ridge surface, followed by the laying of black fully biodegradable mulch film; finally, holes are made in the mulch film for daylily seedling planting. This method is mainly used for sustainable ecological planting of daylilies, improving soil fertility and structure, regulating soil pH and providing potassium, conserving moisture and suppressing weeds while avoiding residual pollution, thereby increasing daylily yield and quality while reducing environmental impact.

The application belongs to the technical field of robot control, and particularly relates to a master-slave operating arm with electromagnetic force feedback for precision assembly and a bidirectional transparent control method, which comprises a master-slave robot unit, an information transmission unit, a master-slave control unit, an electromagnetic force feedback unit, a bidirectional transparent control unit, a singular point processing unit, an adaptive path planning unit and a master-slave proportion matching unit. The electromagnetic force feedback unit obtains environmental force information through a magnetic coupling component and transmits the information to the master control unit; the bidirectional transparent control unit constructs a master-slave control closed loop, balances the system transparency and stability under communication delay, detects and avoids joint singular points through a Jacobian matrix, and constructs a potential field function to generate an optimal motion path. The application realizes high-precision control and force feedback under a communication delay environment, and improves the accuracy and safety of remote operation.

This invention discloses a method, apparatus, device, and medium for morphological operations based on local density maps, relating to the field of image processing technology. The method includes: calculating a local density map based on a target image; using the local density map to characterize the local grayscale distribution features of each pixel; assigning structural element parameters of different sizes to different regions based on the local density map; performing morphological operations on the target image using structural element parameters of different sizes to obtain multiple morphological operation results; and fusing the multiple morphological operation results based on the local density map to obtain the final morphological operation result. This invention accurately perceives local image features through local density maps, adaptively assigns structural element parameters of different sizes to different regions, and organically combines the processing advantages of different parameters through a fusion strategy. While maintaining high computational efficiency, it effectively balances detail preservation and noise suppression, significantly improving the processing quality of morphological operations.

The invention discloses an environment-based adaptive braking method and device, a storage medium and equipment, and belongs to the technical field of deep learning. Collecting vehicle state data, vehicle exterior environment data, surrounding vehicle data and user behavior data; processing the vehicle state data and the vehicle exterior environment data by using LSTM to obtain environment change trend characteristics; carrying out fusion processing on the environment change trend characteristics, the vehicle exterior environment data, the surrounding vehicle data and the user behavior data by utilizing Random Forest to obtain a structured rainy day scene label; a basic braking parameter matched with the rainy day scene label is searched in a dynamic rule base, the optimization model is used for optimizing the rainy day scene label and the basic braking parameter, and a braking control instruction is obtained; and the braking control instruction is sent to the vehicle, so that a braking system in the vehicle executes braking operation based on the braking control instruction. According to the invention, self-adaptive braking can be carried out in a rainy day scene, and the safety is improved.

This invention discloses a grouped point cloud-driven arm-hand operating system. The arm-hand operating system includes a VR-based teleoperation data acquisition module, an environmental perception and encoding unit, and a two-layer feature fusion diffusion denoising model. Specifically: the VR-based teleoperation data acquisition module consists of a posture recognizer, a posture mapper, and a data storage module; the environmental perception and encoding unit consists of a point cloud grouper, a point cloud encoding module, and a state integrator; and the two-layer feature fusion diffusion denoising model consists of a two-layer feature fusion module and a diffusion denoising network. This arm-hand operating system can respond to environmental changes in real time, achieving comprehensive scene perception while quickly formulating task execution plans. This data acquisition-algorithm deployment collaborative framework effectively solves the challenge of balancing cost, speed, and accuracy in intelligent arm-hand operation, providing a cost-effective solution for embodied intelligence, robotic operations, and other fields.

This invention discloses an adaptive router and its routing method based on a three-dimensional on-chip network with irregular inter-layer interconnections. It utilizes the vertically connected topology of the three-dimensional on-chip network, a healthy TSV (Through Silicon Via) location mechanism, and a congestion propagation network to adaptively reconstruct routing paths based on congestion level, injection rate, and TSV availability. By designing healthy TSV information tables, healthy TSV distance information tables, healthy TSV congestion information tables, a routing decision module, and healthy TSV propagation and congestion awareness mechanisms, it achieves collaborative operation between distance-based and congestion-based routing algorithms to reduce performance losses caused by congestion and failures. This invention uses relatively low hardware overhead, enhances the reliability and adaptability of three-dimensional on-chip network routing, and effectively reduces the average packet latency in the presence of irregular vertical interconnections and dynamic network traffic changes, significantly improving the overall performance and robustness of the system under fault and congestion environments.

This invention discloses a smart maintenance method, equipment, and computer storage medium for highway electromechanical equipment, relating to the field of highway electromechanical equipment maintenance technology. The method includes: collecting equipment operation data, cleaning and extracting features from the data to obtain a standardized multimodal feature set; calculating the current health index of the equipment based on the multimodal feature set through weighted fusion, and classifying the equipment health level according to the health index; when the health level reaches a preset trigger condition, inputting real-time and historical multimodal feature sequences into a pre-trained long short-term memory network model, and outputting a predicted value of the equipment's remaining service life; automatically generating maintenance work orders based on the health index and the predicted value of the remaining service life, and dynamically scheduling maintenance resources in conjunction with maintenance personnel location, spare parts inventory, and traffic flow information. This invention solves the technical problems of slow response, incomplete status perception, and high maintenance costs existing in the prior art.

This invention discloses a six-dimensional force sensor with integrated temperature data acquisition function. The invention relates to the field of six-dimensional force sensor technology and includes a housing. A bottom cover plate is provided below the housing, and an upper cover plate is provided above the housing. A connecting assembly is provided between the housing, the bottom cover plate, and the upper cover plate for connecting and fixing the housing, the bottom cover plate, and the upper cover plate. An elastic body is provided inside the housing. Multiple strain beams are provided on one side of the elastic body. One end of each strain beam is fixedly connected to the side wall of the elastic body, and the other end of the elastic body is fixedly connected to the inner wall of the housing. Strain gauges are fixedly mounted on the surface of each strain beam, and an integrated circuit board is fixedly mounted on the surface of the elastic body. This device acquires temperature data generated during sensor use using a high-precision thermistor, then integrates and processes the data via a circuit board, and finally transmits the data to the cloud for further processing via a data transmission line and data transmission port.

This utility model discloses a gyroscope attitude detection circuit, including a power supply module, a multi-axis inertial sensor, a main control unit, a filtering circuit, and a communication connection unit. The power supply module supplies power to the entire circuit. The multi-axis inertial sensor collects three-axis angular velocity and acceleration data. The main control unit has a communication interface for receiving attitude data from the multi-axis inertial sensor and generating commands adapted for robot control. The filtering circuit is connected between the power supply terminal of the multi-axis inertial sensor and the power supply module and is equipped with decoupling filtering function. The communication connection unit is connected between the multi-axis inertial sensor and the main control unit, and data transmission is achieved using an IIC bus. This utility model aims to solve the problems of low attitude detection accuracy and weak anti-interference capability in existing systems.

This utility model discloses an outboard motor boom structure, comprising: a steering sleeve fitted onto the outboard motor; a clamping plate located outside the steering sleeve for clamping with the hull; a fastening ring rotatably disposed outside the steering sleeve to allow the steering sleeve to rotate; and a pitch section disposed between the fastening ring and the clamping plate for adjusting the angle between the steering sleeve and the clamping plate. The pitch section includes a fixed disc mounted to the fastening ring, the fixed disc being covered by a clamping member, an adjusting plate being provided on the outside of the clamping member, and an adjusting component between the adjusting plate and the clamping member. Compared with the prior art, the advantage of this utility model is that when the pitch angle needs to be adjusted, rotating the fixed disc forces the ball to exit from one disc hole and fall into the next adjacent disc hole. This process produces a noticeable shifting sensation, allowing the operator to accurately perceive and locate the specific pitch angle.

This invention discloses a multi-task teacher-student network collaborative training method for underwater scattering environments, aimed at improving the scene perception and understanding capabilities of autonomous underwater vehicles. The invention trains high-performance teacher models using datasets with single depth labels and single semantic labels, respectively, and designs a lightweight multi-task student model framework. Through feature extraction and fusion, the parameter size of the model is reduced and inference speed is improved. Through the design of the loss function in the knowledge distillation process, it is ensured that the student model can inherit the depth perception and semantic understanding capabilities of the teacher model. This invention can be widely applied in fields such as marine resource exploration, underwater infrastructure maintenance, and environmental monitoring, providing accurate environmental understanding and target recognition capabilities for underwater work, and has significant application prospects and economic benefits.

This application provides a method and system for optimizing fiber winding for micro-vibration sensing in unmanned aerial vehicles (UAVs). The method involves first acquiring micro-vibration strain data from the UAV's wing surface; then fusing the UAV's flight attitude parameters and performing bending loss compensation processing on the micro-vibration strain data to generate a compensated vibration signal; next, applying fiber grating wavelength demodulation processing to the compensated vibration signal to generate a wavelength variation sequence; then, performing empirical mode decomposition (EMD) on the wavelength variation sequence to obtain multi-scale vibration modes; and finally, determining the optimal fiber winding spacing on the UAV's wing surface based on the modal energy distribution. The technical solution provided in this application not only achieves precise radio frequency interference through protocol identification but also adaptively adjusts interference and guidance strategies based on the UAV's response behavior, enabling controllable, safe, and orderly removal of intruding UAVs.

This disclosure provides a semantic segmentation method, system, and medium for camouflaged objects based on two-stage edge guidance. The method utilizes SAM2 and Hiera backbone networks to extract multi-scale features and generates an edge prior map based on these features. Then, a multi-granularity edge feature perception module provides a feature basis for two-stage edge guidance through its edge representation capabilities at different scales and directions, resulting in enhanced multi-scale features. Based on the enhanced multi-scale features and the edge prior map, and combined with the edge confidence map of the upper-layer prediction results, the features are dynamically optimized layer by layer from low to high scale, generating intermediate feature results containing fine-grained edge information. Based on the dynamically optimized intermediate feature results, a cross-scale edge-assisted decoder is used to integrate and reconstruct the intermediate feature results. A layer-by-layer edge reconstruction feedback mechanism is used to achieve feature refinement and edge enhancement, ultimately outputting the semantic segmentation result of the camouflaged object.

The utility model relates to the technical field of barrier avoidance device, concretely is a portable barrier avoidance device for assisting blind people to travel, including the casing, the second outer wall of casing is provided with first ranging module, the inclined surface of casing is provided with second ranging module, is provided with host computer and vibration module in the casing. The utility model discloses, aiming at the problem that the privacy of blind user is neglected because of voice broadcast for the prior art product, the device provides the feedback mode of non - voice through vibration module, avoids causing the attention of others or the psychological discomfort of user, improves the use experience while protecting the privacy, overcomes the voice failure problem of prior art product in noisy environment, even under complex scene, user can also know that the barrier appears in the front or the front lower side through vibration prompt, ensures the product stability and practicality. Still with braille button, automatic adjusting function is combined, reduces the learning cost and psychological stress, improves the acceptance of user to product.

The utility model relates to an annular pulse diagnosis instrument which comprises an annular pulse diagnosis support, a pulse diagnosis seat is arranged at the lower end of the annular pulse diagnosis support and fixedly installed on a base, a linear guide rail is transversely installed on the inner side of the upper portion of the annular pulse diagnosis support, a sliding block is installed on the linear guide rail, and a suspension frame is installed on the sliding block. Three pulse diagnosis probes which are linearly arranged in the longitudinal direction are installed on the portion, on the inlet side of the tongue diagnosis camera device shell, of the suspension frame, each pulse diagnosis probe comprises an electric cylinder, the lower end of each electric cylinder is connected with a pulse diagnosis pressure head, and a pulse diagnosis sensor is installed at the lower end of each pulse diagnosis pressure head; a pulse diagnosis support is fixedly installed on the inner side of the lower portion of the annular pulse diagnosis support. Acupuncture points can be accurately positioned according to the size of a human arm, operation is easy and convenient, patient comfort is high, and the requirement for modernization of traditional Chinese medicine pulse diagnosis is met.

The application provides an EDFA optical fiber signal amplification system based on intelligent gain, which comprises an input signal processing module for extracting optical signal characteristics, a signal amplification module for generating output optical signals through multi-stage amplification, a signal monitoring module for monitoring input and output signals in multiple dimensions, an intelligent control module for executing a gain control algorithm based on monitoring data and signal characteristics to generate a pump control signal, and a pump control module for adjusting the working state of a pump source and feeding back to the amplification module to realize intelligent gain control. The application can realize precise gain adjustment and dynamic optimization of the EDFA optical fiber signal amplification system, improve the stability and performance of the system under complex working conditions, reduce energy consumption, and enhance the reliability and transmission efficiency of the optical fiber communication system.