8 results about "Embedded intelligence" patented technology

The application discloses a kind of based on ZYNQ platform's transmission tower steel member weld surface defect detection system and method, belong to industrial vision detection and embedded intelligent identification technical field.Pass through acquisition weld image and construct defect dataset, in YOLOV3 target detection network training stage introduction self-adapting residual network structure and channel attention mechanism, enhance shallow layer detail information transmission and defect relevant feature response, realize to crack, pore, slag inclusion, undercut and weld tumor and so on Defect Effective identification.Training optimized model faces ZYNQ heterogeneous hardware and is deployed, through hierarchical data access, convolution unit reuse, multi-level parallel computing and pipeline processing, reduce data movement overhead, improve convolution operation efficiency and on-chip resource utilization, reduce the hardware scale required for edge deployment, to improve the real-time performance and engineering application capability of weld surface defect detection.

This invention discloses a pet posture recognition and health monitoring method and collar, belonging to the field of pet wearable devices and embedded intelligent sensing technology. The method includes: collecting raw motion data of the target pet and preprocessing it; extracting acceleration and angular velocity features based on the preprocessed data to obtain temporal fusion features; inputting the temporal fusion features into a preset lightweight classification model to output the pet's posture category; performing periodic quantitative statistics on the posture categories to obtain behavioral statistics data; and comparing the behavioral statistics data with preset health judgment conditions to obtain relevant health status data of the target pet. This invention effectively distinguishes between effective and ineffective motion through temporal fusion features, achieves local offline inference through a lightweight classification model, and realizes pet health monitoring through a complete closed loop from posture recognition to health assessment. It features high recognition accuracy, low power consumption, and long battery life.

This invention discloses a high-efficiency heat exchange air source heat pump system and its control method, belonging to the field of air source heat pump heat exchange control technology. The system includes a heat pump hardware body and an embedded intelligent control software system. The software system constructs a perception-decision-execution-iteration closed-loop architecture, integrating load forecasting, intelligent heat exchange regulation, phase change collaborative control, fault diagnosis, and data interaction modules. Through multi-algorithm fusion, it achieves accurate heat exchange load forecasting, dynamic parameter adjustment, and fault protection under all operating conditions, solving problems such as control lag and poor coordination in traditional systems. This invention significantly improves load forecasting accuracy and reduces regulation lag through innovative software system architecture and multi-module collaboration, achieving precise coordination between phase change components and the main unit, accurate and efficient fault diagnosis, supporting continuous system optimization, significantly improving heat exchange efficiency and operational stability under all operating conditions, reducing energy consumption and maintenance costs, and possessing broad application prospects.

The utility model provides a kind of micro FFC embedded intelligent module, the interface of FFC connector is fixedly installed with U-shaped hollow groove block, the upper surface of U-shaped recess in U-shaped hollow groove block middle part is transversely provided with thin film thermocouple array, the inside of U-shaped hollow groove block is provided with including ADC converter, MCU single-chip microcomputer and capacitor, the top of the left and right ends of U-shaped hollow groove block is respectively provided with green pilot lamp and red pilot lamp and with MCU single-chip microcomputer communication connection, thin film thermocouple array, ADC converter and MCU single-chip microcomputer are sequentially connected, thin film thermocouple array, ADC converter and MCU single-chip microcomputer, green pilot lamp and red pilot lamp are electrically connected with capacitor. Through the technical scheme of the utility model, thin film thermocouple array and ADC converter realize ±0.1 ℃ temperature resolution, can observe FFC flat cable overheating condition in real time, significantly reduce the risk of connector failure caused by abnormal temperature rise of micro device due to FFC flat cable, give consideration to miniaturization, high precision and long-term stability.

1. Name of the product in this design: Embedded Intelligent Remote Control Moving Head Light. 2. Application of this design: Intelligent lighting for museums, large hotel venues, large villas and other similar locations. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

This invention provides a method and system for on-chain parallel inference task execution based on embedded smart contracts, belonging to the field of blockchain and distributed computing. The method includes: a publisher deploying a task management contract and publishing task metadata containing input data, model parameter summaries, and resource requirements; multiple execution nodes autonomously and randomly selecting tasks to be executed based on their own resource matching; each execution node submits complete model parameters, which are verified for completeness by the task management contract based on the model parameter summary, and then the corresponding embedded inference contract instance is dynamically deployed; the contract instance is injected with model parameters upon creation, performs forward propagation inference through fixed-point arithmetic operations, and immediately self-destructs after returning the result to the task management contract; this invention significantly reduces on-chain resource consumption through one-time embedded contracts, decentralized random task distribution, and fixed-point quantitative inference, achieving efficient and verifiable on-chain inference execution across multiple nodes.

A system and method for creating self-determinative documents. The described technology provisions documents with embedded intelligence that enables self-determination, allowing for remote control, secure access, and dynamic interaction across platforms. This system includes a physical processor and memory to execute embedded intelligence, facilitating document lifecycle management, access control, and data integrity. The method involves receiving a request to create a self-determinative document, provisioning the document with intelligence, storing data, and providing remote access.

The application provides a kind of real-time device of power equipment safety state based on meteorological analysis, belongs to the technical field of power equipment safety analysis, including sensing terminal layer, edge intelligence layer and cloud decision layer, sensing terminal layer is connected with edge intelligence layer, edge intelligence layer is connected with cloud decision layer, sensing terminal layer is used for all-round, stereoscopic monitoring of power operation site environment risk, equipment state and personnel health, edge intelligence layer is used for embedded intelligent gateway, sets up risk assessment model, realizes local data preprocessing, anomaly detection and preliminary warning, reduces network load and improves response speed. Breakthrough traditional monitoring limitations, realize accurate risk prediction, through meteorological-electricity-personnel multidimensional data deep fusion and coupling modeling, break data island, accurately quantify the influence of environmental mutation on equipment safety. Dynamic risk index reflects the health status of equipment in real time, the false alarm rate is reduced to ≤5%, which is 40% lower than the traditional system, effectively avoiding invalid operation and maintenance.