11 results about "Elastic matching" patented technology

The invention discloses a transformer oil metal impurity intelligent identification method based on a capillary electrophoresis spectrogram, and relates to the technical field of impurity detection and identification. According to the invention, a detection environment based on improved miniaturized CE-C4D is constructed and signal data is collected; performing multi-stage preprocessing on the signal to obtain a pure spectrogram; performing elastic matching and time axis nonlinear correction on the pure spectrogram and a standard fingerprint spectrogram library by using a DTW algorithm; extracting a peak area based on the aligned spectrogram and carrying out inversion calculation on the absolute concentration of each metal element; evaluating the confidence coefficient of the concentration value, and if the concentration value does not reach the standard, adaptively optimizing parameters and reprocessing; constructing a fault fingerprint feature vector based on the final concentration value, and inputting a diagnosis model to output fault type and severity evaluation; according to the method, identification errors caused by electrophoresis migration time drift are overcome, high-sensitivity and accurate quantification of trace metal and intelligent fault diagnosis are achieved, and a reliable solution is provided for on-site monitoring of the state of the transformer.

The application provides a chain track joint misalignment detection device and method, the detection device comprises a support plate, a first positioning assembly and a second positioning assembly; the first positioning assembly and the second positioning assembly for fixing the chain track joint to be detected are arranged on the surface of the support plate along a first direction; wherein the first positioning assembly and the chain track joint to be detected are elastically matched. The positioning tool of the chain track joint is arranged, the left and right joints are quickly positioned and detected, the speed, the accuracy and the universality of the detection are improved, the defective products can be effectively prevented from flowing into the next process in time, and the elastic matching plays the role of accurate positioning and appearance protection of the chain track joint in the clamping process of the tool clamping the chain track joint.

Embodiments of the present application relate to the technical field of computer, and disclose a team matching method and device based on game, medium and product. The method comprises: determining a team score of a matching team according to a teaming request of a player; the matching team is used to represent a basic battle unit generated based on the teaming request; dynamically calculating a segment width according to a current number of online players; determining a dynamic segment set according to the team score and the segment width; wherein the segment set is an elastic matching interval set based on dynamic adjustment of a segment boundary and the segment width according to real-time matching load; and determining a multi-team matching result according to the dynamic segment set. At least the technical problem of rigid rules in related technologies can be solved.

The invention relates to the technical field of knowledge maps, in particular to a safety production knowledge map construction method for an AI question-answering system, which comprises the following steps of: operating a text extraction node by analysis equipment, fusing operating voltage to recombine basic state map nodes, calculating a forward propagation weight, generating a syntax tree structure and topological analysis characteristics, and constructing a safety production knowledge map for an AI question-answering system. The method comprises the following steps: acquiring voltage parameters, positioning nodes of an anchor point diagram, calculating an actual path hop count, measuring a hop count deviation parameter and a structure attenuation penalty score, executing elastic matching based on character similarity to obtain an operation instruction sequence, and converting the operation instruction sequence into a starting signal. The intent mapping distance is evaluated by utilizing topology analysis, the semantic offset and structural mismatch of spoken questions and answers are solved, static knowledge retrieval is converted into an emergency question and answer mechanism with closed-loop feedback field intervention capability, and the accuracy and reliability of instruction triggering in an industrial scene are improved.

The invention discloses an employment post matching method and system based on data analysis, relates to the technical field of employment post matching, constructs a space-time elastic matching system adaptive to a flexible employment scene, breaks through the limitation of traditional static time presetting through a sliding window and thermodynamic diagram analysis, and improves the matching efficiency. Stability and temporary changes of real available time periods of users are accurately captured, and the method is especially suitable for time period fluctuation requirements of housewives and other groups caused by family affairs; based on time granularity division and core time period marking of industry characteristics, efficient utilization of fragmentary time periods such as household service and the like is met, the requirement for continuity of equipment operation posts is guaranteed, and intelligent adaptation of macroscopic requirements and microcosmic time units is achieved; meanwhile, interaction modes are automatically switched according to physiological features of special employment groups, and the exposure priority of core competitive posts is improved while matching fairness is guaranteed through an advantage dimension weight adjustment mechanism.

The application discloses a micro-grid secondary system networking based on elastic matching and a regulating method thereof, real-time collection of system data; according to the collected system data, a matching combination of micro-grid power distribution is obtained under the constraint of constraint conditions with the lowest total cost and elasticity measurement as a target, an optimized scheduling instruction is formulated according to the obtained matching combination; the optimized scheduling instruction is executed; the system state after the execution of the optimized scheduling instruction is fed back; and the elasticity measurement in the elastic matching is optimized and corrected through a neural network prediction model according to the fed-back system state. The elasticity measurement based on the neural network correction is used for flexible networking, the controllable distributed power supply, energy storage and other equipment in different modules are combined, optimized and coordinately controlled by using the elasticity measurement, so that energy consumption elasticity and power cost minimization are realized while the micro-grid secondary system is flexibly networked.

The invention discloses electronic equipment, and belongs to the technical field of communication. The electronic equipment comprises an equipment shell, a camera shooting decoration ring and an elastic abutting piece, the camera shooting decoration ring is fixedly connected with the equipment shell through the elastic abutting piece, the camera shooting decoration ring is provided with a matched protrusion, the matched protrusion is provided with a center shaft, and the matched protrusion comprises a first limiting protrusion and a second limiting protrusion which are connected; the first limiting protrusion protrudes out of the surface of the camera shooting decoration ring in the direction where the center shaft is located, the second limiting protrusion protrudes out of the surface of the first limiting protrusion in the first direction, the first direction intersects with the direction where the center shaft is located, the elastic abutting part comprises an elastic matching part and an abutting part which are connected, and the elastic matching part is provided with an elastic clamping opening; the first limiting protrusion is clamped in the elastic bayonet, the elastic matching part abuts against the second limiting protrusion in the second direction, the abutting part abuts against the equipment shell in the third direction, and the second direction is opposite to the third direction.

The application provides an AI intelligent fingerprint image matching and identifying method and device, electronic equipment and storage medium, the method comprises the following steps: acquiring a to-be-identified fingerprint image and acquisition state data; generating a quality heat map according to local image quality and acquisition state, and dividing an effective area into a high-trust area, a compensable area and a low-trust area; constructing a minutia point topology graph for the high-trust area to perform elastic matching, obtaining a first matching score and a local deformation parameter; extracting texture features from the compensable area and fusing the texture features with a direction field residual error to obtain a second matching score; constructing a cross-channel matching graph to fuse the scores of each area, and performing re-projection error geometric consistency verification on the compensable area based on the deformation parameter; and finally comprehensively judging and outputting an identifying result. Through quality partitioning, channel-by-channel matching and geometric consistency verification, the application can suppress low-quality areas and deformation interference, and improve the stability and reliability of fingerprint identification under complex conditions.

The application discloses a kind of intelligent scheduling method and system based on multiple pile charging module, it is related to charging module intelligent scheduling technical field, the charging data of user is collected to generate charging application, corresponding charging demand bubble is generated according to charging request;According to the physical connection relationship and capacity limit of charging facility, a virtual pipe network model is constructed;In the virtual pipe network model, the transmission path from the entrance to the target charging pile is matched for the charging demand bubble, and a path matching result is generated;Based on the size of charging demand bubble and the real-time available width of virtual pipe on transmission path, size verification is carried out, and a passability verification result is generated;According to the passability verification result, corresponding resource scheduling operation is executed, and a scheduling scheme is generated;The application converts charging scheduling into the dynamic adaptation process of bubble in pipe, realizes the flexible matching and global optimization of charging resources under strict power grid constraints.

The embodiment of the invention relates to the technical field of computers, and discloses a game-based team matching method and device, a medium and a product. The method comprises the following steps: determining a team score of a matched team according to a team forming request of a player; the matching team is used for representing a basic battle unit generated based on the team forming request; dynamically calculating the segmentation width according to the number of current online players; determining a dynamic segment set according to the team score and the segment width; wherein the segment set is an elastic matching interval set for dynamically adjusting the segment boundary and the segment width based on a real-time matching load; and determining a multi-team matching result according to the dynamic segmentation set. The technical problem of rule stiffness in related technologies can be at least solved.

The invention provides a wind and light resource and data center load intelligent matching method in an extreme weather situation, and the method comprises the steps: carrying out the time-space alignment of the obtained meteorological sudden change data, multi-physical field equipment state parameters, power grid operation parameters and load demands, and obtaining a four-dimensional time series data set; inputting the four-dimensional time series data set into the dynamic prediction model to generate a cascade failure conduction factor matrix; wherein the dynamic prediction model is used for representing a conduction relation between a meteorological parameter sudden change threshold value and equipment cascade failure; taking the cascade failure conduction factor matrix as a constraint condition, performing multi-objective optimization solution under space-time constraint, and generating an elastic matching instruction set; wherein the elastic matching instruction set is used for indicating the energy system to execute intelligent resource scheduling. By adopting the method, the limitation of traditional single-factor static correlation analysis can be broken through, and collaborative optimization across weather, energy and load centers is realized, so that dynamic balance between wind and light resource supply and data center demands is maintained in extreme weather, and the comprehensive energy efficiency is improved.