9results about How to "Realize dynamic generation" patented technology

The present application relates to a kind of forest leaf instance segmentation method and system based on deep learning, method includes: obtaining vegetation image, vegetation image is input into leaf instance segmentation model, obtains leaf instance segmentation prediction result;Leaf instance segmentation model is trained using training set;Training set includes: vegetation original image;Feature extraction and enhancement are carried out using backbone module in leaf instance segmentation model, and adaptive spatial fusion mechanism in progressive feature pyramid network is integrated to dynamically adjust feature weight, generate dynamic fusion feature;Through the dynamic asymmetric spatial perception mechanism built-in in dynamic anomaly regression head module, the corresponding multi-source deformation feature layer of dynamic fusion feature is obtained, and the feature fusion strategy of top-down cascaded decoding module is used to optimize multi-scale feature, obtain multi-source fusion feature layer, further using multi-source fusion feature layer, generate leaf instance segmentation prediction result.The present application solves the problems of data scarcity, poor adaptability and low efficiency.

The embodiment of the invention provides a task scheduling method and device, electronic equipment and a storage medium. The method comprises the steps that conventional inspection tasks are formulated according to the growth stage of a target crop to obtain a task queue, and the task queue comprises the conventional inspection tasks; issuing the conventional inspection task to an inspection robot to be executed by the inspection robot; based on the execution result of the conventional inspection task, adjusting the inspection tasks in the task queue, and sorting the inspection tasks in the adjusted task queue according to a target sorting strategy to obtain a task execution list; and issuing the inspection task in the task execution list to the inspection robot so as to be executed by the inspection robot. According to the scheme, the problem that a traditional static scheduling scheme is disjointed with the crop growth stage and the execution result of the inspection task can be solved, dynamic generation and adjustment of the inspection task are achieved through a two-dimensional task driving algorithm based on the growth stage and the execution result, and therefore the intelligent and extensible inspection task management capacity is achieved.

A method for planning an autonomous landing safe trajectory suitable for UAV inspection is proposed. After the UAV takes off, it acquires the current pose of the UAV, the point cloud map information of the surrounding environment, and the spatial orientation of the target point. By establishing the spatial transformation relationship between the camera coordinate system and the body coordinate system, the orientation vector relative to the ground target is calculated, and the target point is generated within the radar-sensible area. Based on the generated target point, an optimization function that minimizes the fourth derivative is constructed based on multiple high-order polynomials to generate a smooth trajectory with continuous position, velocity, and acceleration. The initial trajectory is transformed into a B-spline curve, and local trajectory segments with collision risk are optimized. A segmented penalty mechanism is designed based on the boundary threshold to guide the trajectory away from the boundary area. The time span is adjusted by calculating the trajectory derivative over-limit ratio, and a trajectory similarity cost function is introduced to ensure that the final optimized trajectory maintains the original geometric structure, thereby achieving trajectory control optimization and safe landing of the UAV.

This application discloses a knowledge- and data-driven elastic positioning method, system, and storage medium. The method includes: generating a knowledge graph based on a knowledge base in the positioning domain; the knowledge base includes multiple pieces of first knowledge information, including entity pairs in the positioning domain, relationships between entity pairs, and a first confidence level of the relationships; nodes in the knowledge graph represent entities, edges in the knowledge graph represent relationships between different entities, and the attributes of the edges include the first confidence level of the relationship represented by the edge; inferring a positioning model applicable to the target object based on currently available information sources, observation data of the available information sources for the target object, and the type of observation data; the positioning model includes positioning parameters, observation equations, and state transition equations; and locating the target object based on the observation data and the positioning model to obtain the positioning result of the target object.

The invention discloses an automatic operation and maintenance method and device, equipment, a storage medium and a program product, and relates to the technical field of data processing.The automatic operation and maintenance method comprises the steps that when an operation and maintenance trigger event is detected, data is obtained from multiple data sources, and multi-dimensional data is obtained; generating a strategy decision context object according to the multi-dimensional data; determining a resource condition rule matched with the current resource state according to the current resource state and a current resource condition rule set in a rule base; determining a test condition rule matched with the first test information of the current code according to the first test information of the current code and a current test condition rule set in a rule base; determining a target operation and maintenance strategy according to a resource condition rule matched with the current resource state and a test condition rule matched with the first test information of the current code; and executing the target operation and maintenance strategy. According to the method, the accuracy of the target operation and maintenance strategy is improved, and then the software delivery efficiency and the stability of a service system are improved.

The invention provides a display device and method and interaction equipment, which can be applied to the technical fields of display, human-computer interaction and computer vision processing. The display device comprises a processor configured to determine a writing point or a watermark point based on a plurality of writing signals collected at the same time, the plurality of writing signals are collected by a plurality of signal collectors of an input device in the process that a target object controls the input device to execute writing operation on a non-touch-sensitive surface, and the watermark point is a watermark point or a watermark point. The plurality of signal collectors have at least two types; and a display panel configured to display the writing point or the watermark point from the processor.

The invention relates to the technical field of retail inspection, and particularly discloses a retail store inspection method and system based on a configurable questionnaire, and the method comprises the steps: collecting the multi-dimensional state data of a target store in real time, and enabling the multi-dimensional state data to comprise static attribute data, dynamic business data flow and environment context data; performing standardization processing on the multi-dimensional state data to generate a target store state vector; based on a pre-trained optimal strategy curved surface model, the target store state vector is mapped to an inspection strategy vector space, a recommended inspection strategy vector is obtained through calculation, and the optimal strategy curved surface model represents a nonlinear mapping relation between the store state vector space and the inspection strategy vector space; according to the recommended inspection strategy vector, dynamically assembling and generating an inspection questionnaire from the modular questionnaire component library, and generating a corresponding inspection task execution scheme; and dynamic strategy optimization based on state perception for retail store inspection is realized.

The invention provides a patient body and mind multi-dimensional intelligent monitoring system and method based on multi-modal sensing, and relates to the technical field of medical monitoring. A health data acquisition module of the system acquires a limb movement track, a body pressure distribution time sequence diagram and basic physiological parameters of a patient in real time, and when a pressure center continuously moves outwards and the acceleration exceeds a dynamic threshold value, a high-frequency sampling mode is activated. And the health risk analysis module quantifies the corresponding relationship between the body position change and the physiological parameters through multi-modal correlation strength calculation, and outputs a bed falling risk grade signal. And the interactive health assessment module triggers voice interaction when the physiological parameters are abnormal, and combines subjective and objective data to generate a composite health index. And the clinical decision support module generates graded nursing suggestions according to the risk levels and the health indexes, and intelligently deploys the response of the medical care terminal. The physical and mental state of the patient is comprehensively monitored, and the medical monitoring early warning accuracy and clinical response efficiency of the patient are remarkably improved.

The invention provides a household broadband installation and maintenance service work order quality inspection method based on an intelligent agent. In the method, firstly, a quality inspection request is obtained, a quality inspection agent is matched from an agent pool according to the quality inspection request, the quality inspection agent is obtained based on a quality inspection rule and an agent meta-model, and the quality inspection agent comprises quality inspection capability; secondly, the sound recording file is translated into text data, and the sound recording file is used for recording a service call corresponding to the home broadband installation and maintenance service work order; and then, matching a cue word template according to the quality inspection capability of the quality inspection agent, and generating a cue word based on the cue word template and a quality inspection rule corresponding to the quality inspection agent. And finally, reasoning the text data and the cue words through the large model to obtain a quality inspection result. Through the method, the change of the quality inspection service can be quickly responded, and the quality inspection accuracy and the service fitting degree are improved.