23results about How to "Realize intelligent matching" patented technology

The invention discloses a multi-agent cooperation method, system and device based on shared memory data, and a medium, mainly relates to the technical field of multi-agents, and aims to solve the problem that a traditional reasoning system cannot recognize semantic similarity between requests and cannot sense a context relationship of agent tasks, so that the efficiency is improved. The intelligent agent system is often deployed at multiple nodes, and the cache result cannot be shared across the nodes. Comprising the steps of obtaining an output result and an intermediate result generated by each path node; caching the semantic signature and the output result to a preset result cache layer; caching an intermediate result generated by each path node as context information to a preset context cache layer; and according to a preset time window, detecting inference frequencies of different semantic signatures generated by all the agents, and according to the inference frequencies, adjusting storage time of output results corresponding to the semantic signatures in a preset result cache layer.

The utility model discloses an automatic lifting cutting device, which relates to the technical field of optical fiber cutting and particularly comprises an electric lifting execution structure, a tool bit fixing structure and a guide reset structure. The tool bit fixing structure comprises a tool bit bearing platform, a baffle connected with the tool bit bearing platform, a tool bit fixing shaft movably connected with the middle of the top end of the tool bit bearing platform and a displacement sensor connected with one side of the top end of the tool bit bearing platform. The electric lifting executing mechanism comprises a motor mounting plate, an ejector rod movably connected with the motor mounting plate, a second servo motor connected with the motor mounting plate and a ball screw movably connected with the motor mounting plate, and the ejector rod is located below the baffle. According to the automatic lifting cutting device, real-time dynamic adjustment of working coordinates of the tool bit is achieved through the digital control system, intelligent matching of cutting parameters is achieved, and the adaptability and cutting precision of the device to optical fibers of different specifications are improved.

This invention relates to the field of laser processing technology, and discloses a method and system for femtosecond laser three-dimensional surface processing based on adaptive optics. The method includes: spatial topology reconstruction of the original point cloud data of the workpiece to be processed to obtain a three-dimensional digital surface; row spacing planning and optimization of the three-dimensional digital surface to obtain a spatial processing trajectory, and point wavefront mapping of the spatial processing trajectory to obtain pre-compensated phase distribution data; optical field distortion analysis of the surface reflected light signal of the workpiece to be processed to obtain the actual wavefront phase; encoding the pre-compensated phase distribution data into an initial wavefront control command for a beam shaping device, and iteratively optimizing the initial wavefront control command to obtain a wavefront supplement signal; and updating the spatial processing trajectory by combining the real-time contour data of the workpiece to be processed. This invention can improve the efficiency of femtosecond laser three-dimensional surface processing based on adaptive optics.

The invention discloses an illegal evidence chain evidence obtaining method and system based on external graphic features of a garbage bag, and relates to the technical field of garbage classification, and the method comprises the steps: obtaining an illegal putting graph uploaded by an inspection worker; inputting the violation putting image into a target identification model, and obtaining a violation image label; and screening out target video data from a video database according to the illegal image tag, and storing the target video data as law enforcement evidence. According to the invention, the efficiency and accuracy of garbage classification and illegal behavior supervision can be improved, the security, privacy and authenticity of data are ensured, a favorable means based on illegal evidence is provided for supervision of unclassified residents, and conditions are provided for unattended delivery points.

A deformation-viewpoint dynamic coupling robot viewpoint intelligent planning method and system, the method comprising: constructing a deformation-view mapping model and training; constructing a space-time graph convolution network and training; constructing a multi-objective hierarchical decoupling optimization network, inputting the multi-modal information in the actual into the trained deformation-view mapping model, generating a coverage prediction value, generating a compensated view according to the deformation compensation layer; the motion optimization layer uses a deep reinforcement learning strategy network and combines an adaptive importance sampling strategy to screen the compensated view and generate a screened candidate viewpoint set; generating a space-time safety corridor according to the trained space-time graph convolution network, scoring the collision risk of the screened candidate viewpoint set according to the safety constraint layer, constructing a multi-objective fitness function and solving, obtaining the optimal viewpoint set. The present application is suitable for high-precision visual detection scene, which significantly improves the real-time performance and robustness of robot viewpoint planning.

The application relates to the technical field of data processing, and relates to an Excel data emergency reporting and processing method based on dynamic mapping, which comprises the following steps: receiving an emergency reporting instruction, confirming an emergency processing system and a to-be-processed Excel file based on the emergency reporting instruction, performing structural analysis on the to-be-processed Excel file to obtain a table header field set and a data region set, constructing a field mapping rule library by using a dynamic mapping unit and the table header field set, generating a dynamic filling report template set based on the field mapping rule library and the data region set, checking a backfill data set by using the field mapping rule library to obtain a check result set, performing data aggregation by using a data aggregation unit based on the check result set and the backfill data set to obtain an aggregated data table, and sending the aggregated data table to an initiating end of the emergency reporting instruction, so that the emergency reporting and processing of Excel data are realized. The application can improve the accuracy and efficiency of the emergency reporting and processing of Excel data.

The application relates to an AI-driven conversational ERP order generation method and system, and belongs to the field of resource planning systems. The method comprises the following steps: loading user permissions and collecting historical behavior sequences in response to a wake-up instruction; predicting an order intention and generating an active guidance prompt based on a time sequence coding model; extracting initial order elements by using a large language model, combining a static permission vector and a dynamic context vector for joint constraint optimization to generate accurate order elements; calling an ERP master data interface to obtain real business data after permission verification to generate a basic order data set; performing conflict resolution through a structured constraint rule library and a model output-rule bidirectional verification mechanism to generate a pre-order data object; and writing into a database to generate an official order after multi-modal fusion confirmation and risk control pre-checking. The application has the advantages that permission verification is pre-positioned, data is accurate and reliable, active guidance is provided, and multi-modal risk pre-checking is performed, so that order entry efficiency and compliance are significantly improved.

This invention relates to the field of big data processing and intelligent recommendation technology, and discloses a method for intelligent analysis and recommendation of science and technology innovation policies based on big data. The method includes: format conversion and word segmentation of the original policy documents; inputting a structured policy dataset into a policy domain ontology model; inputting multi-source enterprise data into a multi-dimensional feature system and performing data preprocessing; performing semantic matching calculations on the policy knowledge graph and multi-dimensional enterprise profiles; analyzing using an enterprise policy preference model; adjusting the recommendation model parameters through a feedback data quality assessment model and online learning; analyzing using a cross-departmental policy association identification algorithm; and obtaining policy collaborative analysis results through policy association network graph construction and policy combination optimization algorithms. This invention, by constructing a multi-dimensional policy knowledge graph and a deep semantic understanding mechanism, can accurately analyze the complex logical relationships and fine-grained semantic elements in policy provisions.

The invention relates to a desktop cloud virtual machine dynamic management system and method based on multi-dimensional intelligent monitoring. The system comprises a data acquisition module, a data preprocessing module, a state classifier and an intelligent scheduling decision module. The data acquisition module is used for acquiring multi-dimensional operation data of each virtual machine in real time in a desktop cloud cluster, the data preprocessing module is used for processing the multi-dimensional operation data to obtain standardized data, the state classifier is integrated with a decision tree classification model, the decision tree classification model is adopted to analyze the standardized data, and the data processing module is used for processing the analyzed standardized data. And the intelligent scheduling decision-making module is used for executing the corresponding dynamic management strategy according to the abnormal state type of the target virtual machine and correspondingly outputting the operation state of each virtual machine, and the operation state of each virtual machine comprises a normal state and an abnormal state. According to the technical scheme, the accuracy of fault diagnosis is improved, and refined and automatic dynamic management is realized.

The invention relates to the technical field of computers, in particular to a project process processing method and device, a storage medium and computer equipment. The method comprises the following steps: acquiring project original data; inputting the project original data into a preset project type identification model, and determining a target project type of the project original data; based on a preset project flow processing link corresponding to the target project type, determining a target processing link required for processing the project original data; creating a corresponding alliance chain node for the target processing link so as to construct an alliance chain according to the alliance chain node; and publishing the project original data to an alliance chain, so that alliance chain nodes process the project original data in sequence to obtain a project processing result. According to the method, automatic and intelligent operation of the project process is realized, and credibility, traceability and tampering resistance of data in the whole process can be ensured.

This invention discloses a multi-power adaptive fusion output method and system, relating to the fields of automation control and power machinery. It addresses the problems of traditional multi-power systems with fixed ratios, single adjustment dimensions, insufficient adaptive capability, low control precision, and susceptibility to vibration instability under complex working conditions. The method is based on three-level dynamic coupling and feedback iteration of hardness-direction-vibration. It involves five steps: environmental perception, basic weight calculation, initial power ratio synthesis, feedback iterative optimization, stable output, and memory. It dynamically adjusts the output ratio of the dual power devices using S-shaped response curves, sinusoidal coupling terms, and hyperbolic tangent smoothing iterative algorithms. The system consists of a perception module and a state monitoring module, a control core and an adaptive database, and dual-power execution modules connected by connecting cables. This invention achieves refined power matching, improves system adaptability and robustness, possesses self-learning capability under working conditions, significantly improves operational efficiency, and is suitable for complex operational scenarios such as tunnel dredging.

The application discloses a cooling and heat dissipation method and system of an energy storage power supply, and the cooling and heat dissipation method comprises the following steps: acquiring the discharging power of the energy storage power supply in real time, and calculating the real-time heat generation of the energy storage power supply; comparing the size of the real-time heat generation and the heat generation threshold value; when the real-time heat generation of the energy storage power supply is lower than or equal to the heat generation threshold value, starting the cooling circulation single loop, and according to the real-time heat generation of the energy storage power supply, calculating the conventional refrigeration power of the liquid cooling unit, and controlling the liquid cooling unit to operate at the conventional refrigeration power; when the real-time heat generation of the energy storage power supply is higher than the heat generation threshold value, starting the cooling circulation double loop, and according to the real-time heat generation of the energy storage power supply, calculating the rapid refrigeration power of the liquid cooling unit, and controlling the liquid cooling unit to operate at the rapid refrigeration power. The application can accurately match the cooling power of the liquid cooling unit according to the heat dissipation state of the energy storage power supply, and has the function of rapid cooling when the energy storage power supply is subjected to large-rate charging and discharging.

This invention relates to the field of wireless power bank technology, and more particularly to a foldable wireless power bank for mobile phones. The technical solution includes a power bank shell with an anti-slip base fitted to its outer wall. A magnetic charging plate is rotatably mounted on the front end of the anti-slip base, and a charging coil is disposed inside the magnetic charging plate. The driving folding mechanism includes a threaded rod, a push rod, and a connecting rod. Rotating the drive handle drives the threaded rod to rotate, causing the push rod to push the connecting rod, lifting and unfolding the front end of the magnetic charging plate. Simultaneously, the connecting rod drives another magnetic charging plate to extend, forming a dual wireless charging position. The linked heat dissipation mechanism includes a turbine heat dissipation mechanism and heat dissipation channels. When the magnetic charging plate is unfolded, the exhaust vent is open, and airflow blows towards the charging coil area for forced cooling. When closed, the magnetic charging plate seals the exhaust vent, and airflow is discharged from the end of the heat dissipation channel. This invention achieves deep linkage between folding, charging, and heat dissipation by simultaneously completing the unfolding of the charging plate and the switching of the heat dissipation channel through a single driving action.

This application discloses a floating marine production platform, comprising: a main floating platform; a fisheries system, located on top of a pontoon, including a vertically spaced base and frame connected by a retractable drive column, with a mesh component inside the frame that moves synchronously with the frame; a wave energy capture system, including several energy capture modules evenly arranged along the circumference of the pontoon; a tidal energy capture system, including a turbine located at the bottom of the wave energy capture system; an energy management and storage system, located in a containment cavity, which rectifies and stabilizes the AC power generated by the wave and tidal energy capture systems and feeds it into a DC bus connected to a lithium-ion battery pack; and a collaborative control system that dynamically adjusts the energy storage charging and discharging strategy, calculates the optimal aquaculture depth, and provides feedback to drive the column to move synchronously. This application, through multi-system collaborative design, achieves an organic integration of marine energy development and aquaculture, significantly improving the efficiency of the production platform.

The invention relates to a dynamic nutrition adjustment method and system based on metabolic adaptability, and the method comprises the steps: collecting historical metabolic rate data and real-time biosensor data, carrying out the preprocessing, and recognizing and outputting a structured metabolic data set containing a platform period marker; calculating a metabolic attenuation slope, a nutrient responsivity and an energy gap elastic coefficient, and generating a metabolic adaptability coefficient through weighted fusion; dynamically adjusting the macroscopic nutrient proportion and the total calorie value, and outputting a nutrition adjustment instruction; carrying out strengthening processing on the nutrition adjustment instruction; according to the nutrition enhancing instruction and a pre-configured user diet preference database, optimizing and calculating a specific food material combination, verifying a blood glucose fluctuation level, and outputting an executable meal replacement formula; and calculating the metabolic response rate and dynamically correcting the calculation weight of the metabolic adaptability coefficient based on the executed metabolic rate feedback data. According to the invention, the accuracy, timeliness and individual fitness of nutrition intervention are improved.

The application provides an order delivery path planning method and system, a server and a storage medium, relates to the technical field of logistics, solves the problems that the traditional decision scheme cannot balance the working time of delivery personnel and cannot avoid the detour of delivery personnel, and comprises the following steps: according to the data of a collection and distribution station, time distance matrix data and delivery personnel data, solving a first path planning strategy of a planable order based on a preset first path planning target, determining a target delivery personnel and the to-be-delivered orders of the target delivery personnel; according to real-time time distance matrix data and real-time position data, solving a second path planning strategy of the to-be-delivered orders based on a preset second path planning target, and determining real-time delivery path planning information of the target delivery personnel. The application realizes intelligent matching of delivery personnel and planable orders and intelligent decision of delivery personnel and delivery paths, and improves the delivery efficiency of delivery personnel.

The invention relates to a resource scheduling method and device, equipment, a medium and a product, and the method comprises the steps: obtaining driver compatible information on a server in response to a computing power scheduling request, the driver compatible information comprising at least one piece of information of state information, GPU driver version information, CUDA version information and GPU card identification of each GPU in the server; and determining a driving environment of the computing power scheduling request according to the driving compatibility information, and executing a computing power scheduling task corresponding to the computing power scheduling request in the driving environment. According to the method, by obtaining the driver compatible information with the single GPU card as the granularity, matching of the computing power resources and the driver dependency relationship is achieved, the completely compatible isolated driving environment can be constructed or selected according to the information, and therefore it is ensured that the computing power scheduling request can be processed on the basis of the needed exact driving version, the problem of computing power fragmentation is solved, and the computing power scheduling efficiency is improved. And the GPUs of different drive versions in the server can be efficiently utilized.

The application relates to the technical field of big data processing, and discloses a non-contact medical insurance service matching method based on scene self-adaptation, which comprises the following steps: performing face recognition through a medical insurance business desktop service terminal of a medical service institution to obtain medical insurance information of a user and a large amount of historical medical service data; obtaining the categories of a plurality of medical service institutions; obtaining the main business degree of each medical insurance service of each medical service institution, and constructing an initial medical institution-core medical insurance service matrix; obtaining the influence radius of each medical service institution; obtaining the influence degree of two medical service institutions; obtaining the subjective influence coefficient of the user for the medical insurance service of the corresponding medical service institution, so as to adjust the medical institution-core medical insurance service matrix of each user; and performing medical insurance service matching and pushing of the user based on the medical institution-core medical insurance service matrix of the user. The application aims to solve the problem that the medical insurance service lacks self-adaptation ability such as user portrait and thus the matching degree is poor.

The application provides a network service platform intelligent matching method, system, device and storage medium, the method comprises the following steps: receiving a service request sent by a user terminal; obtaining user information corresponding to the user terminal from a user management server; selecting multiple network service platforms as alternative network service platforms according to the type of the service request; obtaining matching conditions corresponding to the alternative network service platforms from a platform management server; selecting one network service platform from the alternative network service platforms as a matching network service platform according to the matching conditions and the user information; and pushing the service request and the user information to the matching network service platform. By adopting the scheme of the application, intelligent matching between a service platform and a user is realized, the efficiency of selecting a service platform by the user is improved, and the probability of successful service establishment is further improved.

The invention discloses a self-adaptive frequency measurement and dual-energy management ocean temperature and pressure sensing method, and belongs to the technical field of ocean environment monitoring. In order to solve the problems that an existing ocean temperature and pressure observation device depends on battery power supply, the measurement frequency is fixed, and self-adaptive adjustment cannot be achieved according to the energy state and the environment change, the method comprises the steps that a dual-energy power supply mechanism in which a friction nano-generator and a standby battery cooperate is constructed, and a chained multi-node sensor is arranged to collect temperature and pressure data of different depths; the energy state is judged based on the output state of the energy management module and the voltage of the standby battery, and meanwhile, the vertical gradient and time sequence change of temperature and pressure data are analyzed to identify thermocline and possible ocean dynamic process characteristics; and finally, dynamically adjusting the measurement frequency and the working state of the sensing node according to the energy state and the identified environment characteristic information. According to the invention, long-term stable operation of the sensing system in an energy fluctuation environment is realized, and the energy utilization efficiency and the capture capability of a key ocean process are improved.

The present application relates to the technical field of material management in production and manufacturing, and particularly relates to an intelligent matching and inventory management system for automobile wiring harness production materials. Through the collaborative operation of a work order analysis module, a replenishment triggering module, a distribution scheduling module and an execution feedback module, the present application realizes intelligent matching and dynamic inventory management of automobile wiring harness production materials. The system first accurately calculates material demand and readiness based on production work orders and real-time inventory, generates executable work order queues and predicts consumption benchmarks; then, through dynamic replenishment points, it intelligently triggers replenishment and prioritizes replenishment instructions in combination with multi-dimensional factors; finally, through execution feedback, a management closed loop is formed.

This invention discloses a deep learning-based intelligent decision-making method and system for emergency ballast water reception schemes, relating to the field of artificial intelligence technology. The method includes: acquiring emergency ballast water reception events and collecting corresponding basic information; constructing a first target emergency operation chain starting with the target ship type and a second target emergency operation chain starting with the target emergency plan; extracting representation vectors from each operation chain and inputting them into a target intelligent decision-making model, outputting a target emergency plan representation vector and a target ship type representation vector; and determining the target emergency reception scheme based on the aforementioned representation vectors. This method dynamically integrates multi-dimensional information through deep learning to achieve intelligent matching of emergency plans, improving decision-making efficiency and accuracy.

The application discloses a kind of multi-dimension benchmark test data analysis method and device based on modular framework, it is related to test data analysis technical field, including: establishing unified connection obtains original data set and standardizes conversion formation structured data;Recognition tool type calls analysis plug-in interface conversion into format uniform comparable data;Construct data matrix, select benchmark system using adaptive algorithm and execute statistical fluctuation detection based on statistical rules, generate analysis result data;According to semantic analysis, optimal chart is matched and visual rendering is generated to generate report.It realizes benchmark test whole process automation closed loop, solves the tool island problem caused by tool data isomerism;Through plug-in architecture, the compatibility and efficiency of heterogeneous data processing are improved;Adaptive calibration and statistical detection are introduced, subjective error of manual selection benchmark is eliminated, the objectivity and scientificity of performance analysis are significantly enhanced, and intelligent generation of performance evaluation report is realized.