13results about How to "Flexible definition" patented technology

The invention belongs to the technical field of path planning, and particularly relates to a robot path planning method based on an RRT improved algorithm, and the method comprises the steps: obtaining environment space information needing path planning, defining parameters, and obtaining the minimum distance between a coordinate point and an obstacle; a bidirectional random tree is constructed and initialized, and sampling points are obtained through a sampling function; finding a nearest neighbor point, selecting a new node, carrying out safety distance judgment, and if not, carrying out sampling again; generating a discretization path; setting a cost function during local node expansion; performing loop iteration to generate discrete point cost, taking a minimum cost value, searching an optimal node and inserting the optimal node into the current tree; an overall path Path after local optimization is obtained; and discretizing the whole Path, setting a cost function of nodes during global planning, selecting the node with the minimum cost for reconnection, and finally obtaining a smooth and effective optimal path. According to the method, the optimality and smoothness of the path are effectively improved.

The invention relates to the technical field of numerical control system information processing, in particular to a curved surface numerical control machining information extraction method and device based on B-spline curved surface refactor.The method comprises the steps that after three-dimensional space position information of a curved surface machining cutter location point is obtained, cutter location point parameterization is carried out to determine B-spline curved surface parameters of a cutter positioning curved surface; determining a precision index according to the sum of squares of deviations of all cutter location points and the cutter positioning curved surface to calculate a regression matrix, determining a fairing energy index to calculate a fairing energy matrix, combining the two indexes to determine a comprehensive index, generating a curved surface reconstruction problem, solving the problem to obtain a reconstruction structure, and extracting curved surface numerical control machining information. Therefore, the problem that in the related technology, when a curved surface reconstruction algorithm processes disordered spatial discrete cutter location points, the requirements for rapidity, fairness and precision are generally difficult to consider is solved.

The invention relates to an on-chip integrated phase coding microwave signal generation system and method. The system comprises a laser, a polarization controller, a first chip end face coupler, a thin film lithium niobate optical chip, a second chip end face coupler, a signal generator, an optical fiber amplifier, an optical fiber isolator, a photoelectric detector and a microwave source. According to the invention, a first-order sideband of a phase modulation optical signal generated by the phase modulator is suppressed through filtering of the electrically tunable micro-ring resonator in the thin-film lithium niobate optical chip. The signal generator applies a periodically coded voltage signal to the electrically tunable micro-ring resonator, the position of a micro-ring harmonic peak is periodically controlled, and high and low levels of the voltage control signal correspond to the distance between two adjacent harmonic peaks of the electrically tunable micro-ring resonator and positive and negative first-order sidebands of the phase modulation optical signal. According to the invention, high-frequency and frequency-adjustable phase-coded microwave signals can be generated, and the system has the advantages of small voltage tuning range, flexible coding and simple system structure.

The invention relates to an access control method and system for financial sensitive data, and the method is applied to a cloud server, and comprises the steps: receiving a data access request sent by an access client, the data access request being used for requesting to obtain target sensitive data and at least carrying the attribute information of an access user; verifying whether the identity of the access user is legal based on the attribute information of the access user and a preset access control strategy; wherein the access control strategy is an access control strategy generated based on attribute-based encryption in advance, and the access control strategy comprises a constructed access control tree based on multiple attributes; and after the identity is verified to be legal, sending the decrypted target sensitive data to the access client.

The invention discloses a quality evaluation model construction method based on graph theory features, and the method comprises the steps: constructing a multi-evaluation object quality evaluation model data set, and obtaining a directed graph representing evaluation objects; constructing a second-layer quality evaluation model; carrying out measurement evaluation on object attributes representing in-degree nodes; constructing a quality model of a first-layer quality evaluation model, and obtaining an evaluation result of the first-layer model; carrying out the comprehensive quality evaluation of the evaluation object, and forming a topological graph representing the field quality evaluation; and performing loop execution to form a global quality evaluation topological graph of all the evaluation objects in the quality evaluation model representation field. According to the method, better quality evaluation generalization ability can be provided, and the evaluation accuracy and conformity can be more effectively improved compared with an existing quality evaluation model; by establishing a feature association rule with an external object, the quality evaluation model and the external object have a specific representation relationship in the aspect of application, and the application ductility of the evaluation quality model is improved.

The invention provides a Promise-based AI platform resource monitoring method and system, and relates to the technical field of resource monitoring, and the Promise-based AI platform resource monitoring method comprises the following steps: creating resource objects of a container management platform, and configuring a resource label for each resource object; a pre-configured label index set is used for screening resource labels meeting the monitoring requirement, list connection association processing is carried out on the screened resource labels and resource monitoring indexes provided by the open source container monitoring tool, and a wide list is generated; aggregation processing is carried out on the resource monitoring indexes in the wide table, and the total resource use amount under the preset query dimension is calculated; and a global index mapping rule base is constructed, and standardized access of different monitoring devices is adapted by configuring an adaptation layer. According to the method, the complexity caused by different equipment monitoring plug-ins is shielded through the unified query adaptation layer, the code quantity and complexity of a query interface are reduced, and the maintainability and readability of codes are improved.

The invention relates to a communication method and system, electronic equipment and a storage medium. The communication method comprises the following steps: at least according to a command part of an SCPI instruction, generating a Key code for identifying target service content; the Key code is at least used for a communication protocol between the user interaction presentation end and the service logic processing end under the synchronization condition; generating an ID code at least according to the Key code to identify the identity of the target device; the ID code is at least used for requesting a communication protocol between the user interaction presentation end and the service logic processing end under the condition. According to the embodiment of the invention, the uniqueness of each request content or synchronous content can be ensured, a standardized mode is provided to form a communication protocol, and possible conflicts in multi-product integration and version management are avoided.

The present invention belongs to the field of path planning technology, and specifically relates to a robot path planning method based on an improved RRT algorithm, wherein the steps include obtaining environmental space information that requires path planning, defining parameters, obtaining the minimum distance between coordinate points and obstacles; constructing a bidirectional random tree and initializing it, obtaining sampling points through a sampling function; finding the nearest neighbor point, and selecting a new node to make a safe distance judgment, and resampling if it is not satisfied; generating a discretized path; setting a cost function when a local node is expanded; looping and iterating to generate a discrete point cost, taking the minimum cost value, finding the optimal node and inserting it into the current tree; obtaining an overall path Path after local optimization; discretizing the entire Path, setting the cost function of the node during global planning, selecting the node with the minimum cost for reconnection, and finally obtaining a smooth and effective optimal path. The present invention effectively improves the optimality and smoothness of the path.

This application relates to the field of remote sensing image processing technology, specifically disclosing a method and system for real-time identification and information downlink of urban black and odorous water bodies from satellite, including: receiving and parsing task instructions; selecting images to be processed from image data stored on satellite according to the target area and observation time window in the task instructions; performing adaptive on-satellite processing on the images to be processed according to the processing parameters in the task instructions to obtain an identification result set including black and odorous water body identification results and pollution levels, floating garbage identification results, and green algae and duckweed identification results; scoring each identification result, with the score for black and odorous water body identification results calculated based on pollution level and area, and the scores for floating garbage identification results and green algae and duckweed identification results calculated based on area; sorting the scores of all identification results, selecting high-value identification results according to the sorting results, compressing the high-value identification results, and prioritizing their downlink to the ground via the satellite-to-ground data transmission channel.

The present application proposes a DevOps-based intelligent code checking method and system, comprising the following steps: Step 1: pipeline pulls code; Step 2: obtains code checking type; Step 3: parses code file language type; Step 4: calls Prompt module interface to obtain prompt words; Step 5: constructs query request using code language type, code checking type and code content, and retrieves knowledge from knowledge base; Step 6: processes code content, prompt words and knowledge base data to obtain model input data; Step 7: inputs model input data into LLM model to generate checking content; Step 8: formats model generated content into checking results; Step 9: writes checking results into database. The present invention integrates multiple LLM large models and knowledge bases to automatically perform code checking, improves the accuracy and efficiency of code checking, and solves the problems of poor static checking effect, difficult expansion of checking rules and low efficiency in traditional code checking methods.

The invention provides a method, a device, equipment and a medium for enhancing workflow, and the method comprises the steps: packaging the whole process of the workflow into a DAG directed acyclic graph structure on a front-end page of Dify, and submitting the DAG directed acyclic graph structure of the workflow to a rear end; modifying a method for acquiring a next operable node at the back end into a method for acquiring all next nodes from the DAG directed acyclic graph structure of the workflow according to the current node; when the back end executes the workflow, after the current node is executed, if only one next node exists, the next node is directly executed; and if at least two next nodes exist, taking each next node as a sub-workflow, and starting a thread for each sub-workflow for asynchronous execution. The method has the advantages that on one hand, the definition of the workflow is more flexible, on the other hand, the execution efficiency of the workflow can be effectively improved, and the method is suitable for requirements of more application scenes; and streaming output can be better supported.

This invention provides a reverse design method for wharf foundation piles based on multi-objective optimization, belonging to the field of civil engineering structural design technology. In the composite load space composed of vertical, horizontal loads, and bending moments, this invention uses a shape parameter vector containing dimensions and coupling coefficients to define and parameterize the target failure envelope. By performing numerical limit state analysis and fitting on design samples, the actual shape parameters are obtained. This is used to train a machine learning model that can quickly predict the shape of the corresponding envelope from the design parameters. Using the difference between the predicted shape and the target shape as the optimization objective, and combined with construction costs, the model is used to evaluate candidate designs. A multi-objective optimization algorithm is used iteratively to obtain a set of design parameters that optimally balance performance and cost. The selected design is verified through high-precision simulation. After confirming that its actual performance matches the target, the parameters and performance information are integrated into a standard digital file to directly drive automated construction.

The present invention discloses a method and device for constructing a metamodel of a landing gear based on metamodeling, the method comprising: splitting the aircraft landing gear according to five dimensions, namely, physical components, interfaces, technical indicators, processes involved in the development of the aircraft landing gear engineering, and technical fields involved in each component, to construct a metamodel instance of the aircraft landing gear; establishing constraint relationships based on the structural, electromechanical, and thermal properties of the aircraft landing gear, attaching the constraint relationships to the metamodel instances of each aircraft landing gear through modeling expressions, encapsulating the metamodel instances of the aircraft landing gear to which the constraint conditions are attached; determining the association relationship between the metamodel instances of the aircraft landing gear after encapsulation; constructing an aircraft landing gear model, and assigning values ​​to each instance in the aircraft landing gear model. The method constructs a metamodel instance suitable for the aircraft landing gear in view of the characteristics of the aircraft landing gear system, saving the overall architecture design time of the landing gear.