39results about How to "Realize intelligent matching" patented technology

The invention relates to the technical field of data processing and analysis, in particular to a management method and system based on a man-post intelligent matching algorithm model. The method comprises the following steps: acquiring post description data; standardizing the post description data to obtain standard post description data; performing semantic feature recognition on the standard post description data to obtain post semantic feature information; performing industry term information identification on the post semantic feature information to generate post industry term information; performing post industry type division on the standard post description data according to the post industry term information to obtain post industry type data; performing post capability demand determination on the post industry type data to obtain post capability demand data; through a semantic analysis technology, a natural language processing technology and a machine learning algorithm, the talent core capability information is accurately identified, and the post demand information is deeply analyzed, so that the talent post matching accuracy is improved.

The invention relates to the technical field of software application testing, in particular to an automatic intelligent testing system and method for software application. The method comprises the following steps: acquiring test environment parameters of software to be tested, calculating a dynamic waiting time reference value, and generating waiting mechanism configuration data; performing element positioning information collection and element positioning strategy generation on a user interface of the software application based on the waiting mechanism configuration data to obtain element positioning configuration data; performing conditional waiting strategy processing according to the element positioning configuration data and the waiting mechanism configuration data to generate conditional waiting mapping data; and performing visual AI auxiliary positioning processing according to the conditional waiting mapping data to generate visual positioning feature data. Through real-time monitoring of test environment parameters, the system automatically calculates and configures appropriate waiting time, so that the test process can flexibly adapt to various operation environments.

The invention discloses an innovation service policy intelligent matching decision-making system and method based on big data, and belongs to the technical field of policy matching services, and the system comprises an information collection module, a policy matching module and a matching analysis module. The information collection module is used for collecting policy information and enterprise information and establishing a corresponding policy information base and an enterprise information base; the policy matching module is used for performing policy matching, identifying policy information in the policy information base and enterprise information in the enterprise information base in real time, and obtaining policy labels and enterprise feature labels corresponding to the policy information and the enterprise information; combining the policy labels and the enterprise feature labels in pairs to obtain matching evaluation combinations; evaluating each matching evaluation combination, and determining a matching enterprise corresponding to each policy information; setting a corresponding enterprise matching list according to each matching enterprise corresponding to the policy information; and the matching analysis module is used for performing decision analysis on the enterprise matching list corresponding to the policy information.

The invention relates to the technical field of machine learning, in particular to a dynamic productivity subpackage optimization method and system based on machine learning, and the method comprises the steps: collecting production line data, subpackage provider data and project data, and carrying out the data preprocessing, thereby improving the accuracy and reliability of the data, and facilitating the construction of a more accurate machine learning model; by constructing a machine learning model, dynamic productivity prediction, intelligent grouping of subpackages and project optimization are realized; a productivity adjustment strategy, a subpackage optimization strategy and a resource allocation optimization strategy are formulated in a targeted manner, and dynamic adjustment is performed, so that the production efficiency and the project quality are remarkably improved; by setting up a comprehensive feedback channel and quantitative analysis, continuous optimization of productivity and resource allocation is facilitated, and meanwhile, the flexibility and adaptability of decision making are improved. The method is used for solving the technical problems of low production efficiency, unstable project quality and unreasonable resource allocation existing in current industrial production management.

The invention provides an interface recommendation method and device, equipment, a medium and a program product, and relates to the field of big data. The method comprises the steps of performing sentence segmentation on a business demand document, performing abstract extraction on a sentence segmentation result of the business demand document based on a plurality of preset interface documents to obtain a business demand document abstract, and dividing each interface document into a corresponding service set under each classification level according to a service category to which each interface belongs under a plurality of classification levels. Determining a keyword of each service set under each classification level, and determining a service category corresponding to the business demand document and a corresponding recommendation interface based on the keyword of the business demand document abstract, the keyword of each service set and the keyword of each interface document; according to the method, accurate identification of the service category corresponding to the business demand document and intelligent matching of the recommendation interface are realized, and the efficiency and accuracy of matching the service interface of the business demand document are improved.

The invention discloses an intelligent screening and accurate matching method for guarantee task demands and supply information, and belongs to the technical field of data processing, and the method comprises the steps: collecting supply information based on a preset type, and building a material database based on the supply information; obtaining a demand list corresponding to the guarantee task executed by the demand side, and combining all the demand lists based on the guarantee task to generate a demand database; a screening matching model is constructed, the screening matching model analyzes and calculates a matching coefficient between the supply information and the demand list, and supply response information is extracted from the material database based on the matching coefficient; the method comprises the steps of constructing a mathematical model, evaluating the guarantee efficiency of supply response information based on the mathematical model, adjusting parameters of a screening matching model based on the guarantee efficiency, generating a precise matching model, and completing a guarantee task based on the precise matching model. According to the invention, the comprehensiveness of intelligent screening and accurate matching of guarantee tasks can be improved.

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 present invention discloses a method and system for controlling a streaming file in an office scene, which includes marking a content area to be processed in the streaming file; associating a flow sequence table with the content area to be processed in the streaming file, matching corresponding staff members and a processing sequence for the content area to be processed, and defining a synchronous state combination and an asynchronous state combination of each staff member for the streaming file according to the trigger time of each staff member and the corresponding content area, associating the synchronous state combination and the asynchronous state combination, and defining a combination coefficient; defining a control mode of the streaming file according to the combination coefficient, the flow sequence table, and the content area to be processed in the streaming file, thereby realizing intelligent matching of the control mode of the streaming file, and making full use of the synchronous state combination and the asynchronous state combination to trigger a corresponding working mode, so as to make corresponding processing arrangements based on the content in the streaming file.

The invention relates to the technical field of vehicle simulation training systems, provides an intelligent management system for an automobile practical training center, and aims to solve the problem of limited practical training equipment resources, meet the diversified requirements of students and improve the practical training efficiency, and the intelligent management system for the automobile practical training center comprises core components such as a server side, a background control side and a student mobile terminal. Through a plurality of functional modules such as dynamic regulation and control, simulation training and practical training updating, practical training data can be acquired and processed in real time, idle time of students and equipment can be dynamically matched, personalized simulation training is provided for the students, each student can obtain sufficient practical training opportunities, and the practical training efficiency is improved. The teaching efficiency of a practical training center is improved, and the management level of automobile practical training is remarkably improved.

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 control method for contract exchange, in particular to a control method for intelligent contract exchange based on slabs in an inventory. The system comprises a real-time monitoring and data analysis module for slabs in an inventory, an automatic slab information acquisition module, a contract data management module, a design exchange decision module, a slab and contract association database establishment module and an exchange suggestion generation module, and slab data is recorded in the real-time monitoring and data analysis module for the slabs in the inventory. The method comprises the following steps of: establishing basic data, establishing association with other modules, displaying data information on an operation interface of a corresponding module of the system for real-time monitoring, performing intelligent contract exchange after new contracts are put in storage, establishing an association database of slabs and contracts, performing real-time monitoring and analysis on the data, and establishing contract exchange rules, thereby realizing intelligent contract exchange. Therefore, intelligent management of materials can be effectively carried out, and intelligent matching and exchange of contracts are realized.

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.

The invention discloses a maintenance service order sending method and device and a computer readable storage medium, and relates to the technical field of information management, and the method comprises the steps: obtaining the login information of a maintenance request initiating end, retrieving the associated service card information according to the login information of a user, achieving the intelligent matching of services, and improving the user experience. According to the technical scheme, the task requirement is more accurately determined in combination with the service card information and the maintenance request, resource waste or service quality reduction caused by undefined requirements is avoided, the required technical level can be accurately determined by identifying the technical field corresponding to the task requirement and evaluating the task difficulty level, and the service quality is improved. The task is ensured to be allocated to workers with corresponding professional knowledge and skills, so that the quality of maintenance service is improved.

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.

The invention discloses an intelligent assessment management system for safety emergency processing data, and belongs to the technical field of data management. Supervising the whole process of processing the safety emergency accident by the safety emergency processing team which carries out collaborative shared data synchronous push prompt, and carrying out active prevention influence processing analysis and active prevention influence state prompt on supervision data; active prevention implementation effect analysis of different dimensions is carried out on active prevention influence supervision data of all safety emergency processing teams for processing safety emergency accidents which implement collaborative shared data synchronous push prompts; dynamic optimization management is carried out on active prevention implementation shared data associated with different accident reasons in a self-adaptive manner according to analysis results of different dimensions; the method is used for solving the technical problems that the autonomous collaborative sharing processing and utilization effect of safety emergency processing data is poor and the autonomous supervision analysis optimization management effect is poor in the existing technical scheme.

The present invention discloses an intelligent screening and precise matching method for guarantee task demand and supply information, which belongs to the field of data processing technology, including: collecting supply information based on preset types, establishing a material database based on the supply information; obtaining a demand list corresponding to the guarantee task performed by the demander, combining all demand lists to generate a demand database based on the guarantee task; constructing a screening matching model, the screening matching model analyzes and calculates the matching coefficient between the supply information and the demand list, and extracts supply response information from the material database based on the matching coefficient; constructing a mathematical model, evaluating the guarantee efficiency of the supply response information based on the mathematical model, adjusting the parameters of the screening matching model based on the guarantee efficiency, generating a precise matching model, and completing the guarantee task based on the precise matching model. The present invention can improve the comprehensiveness of intelligent screening and precise matching of guarantee tasks.

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 the technical field of computers, in particular to a method and system for simplifying filling in the data collection process, and the method comprises the following steps: establishing a data summarization process, developing a unified data collection interface, receiving data from different filling persons, and defining data formats and field requirements; constructing a main data table and a filling person information table in a database, ensuring one-to-one correspondence between data and filling person information through an association relationship, ensuring data consistency and integrity by adopting transactional processing, and establishing a data monitoring mechanism; the method and the system for simplifying filling in the data collection process have the beneficial effects that when a data filling task is issued and filling is completed by a person in charge, information of filled data is combed, a data summarization process is established, a data structure is optimized, and existing data is summarized into a data table, so that the data collection efficiency is improved. And matching the filled data with related information corresponding to the filling person in the summarizing process.

The invention relates to the technical field of intelligent power supply dispatching systems, in particular to a power supply arm electrification state judgment method and system, and the method comprises the steps: carrying out the rule definition of an electrification state and a non-electrification state of a power supply arm; setting a power-on state rule and a power-off state rule for each power supply arm, and acquiring operation parameters of each power supply arm; and verifying whether the operating parameters of the power supply arm are changed based on the electrified state rule and the non-electrified state rule, performing anti-disturbance processing on the operating parameters of the power supply arm according to a verification result until the operating parameters of the power supply arm reach a steady state, performing electrified state matching on the operating parameters of the power supply arm, and outputting the electrified state of the power supply arm. According to the method, by defining the electrified state rule and the non-electrified state rule of the power supply arm and combining real-time operation parameter analysis and anti-disturbance processing, intelligent matching and accurate judgment of the electrified state of the power supply arm are achieved, and powerful support is provided for safe and stable operation of a power grid.

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.