14results about How to "Realize refined management" patented technology

The application provides a kind of shipboard aviation equipment composite material damage D-S evidence theory nondestructive evaluation method, belongs to the field of shipboard aviation equipment nondestructive evaluation, it includes the following steps: at time, the triaxial damage area characteristics and triaxial vibration frequency characteristics of the composite material structure of shipboard aviation equipment are synchronously acquired and stored;The triaxial damage area characteristics and triaxial vibration frequency characteristics at time are compared respectively, and the corresponding triaxial damage area change degree and triaxial vibration frequency change degree are obtained;The identification framework of D-S evidence theory is established, and the triaxial mass function of the composite material structure is calculated respectively;According to the created D-S damage judgment model, the classification judgment and early warning of the composite material damage of shipboard aviation equipment are carried out.The application can realize the real-time classification evaluation of the dynamic damage of the composite material component of shipboard aviation equipment, and provide data support for the condition-based maintenance of shipboard aviation equipment.

The invention belongs to the technical field of electric vehicle charging, and particularly relates to an intelligent optimization method for standby power consumption of an electric vehicle charging system. In order to overcome the defect that the existing electric vehicle charging system cannot give consideration to reduction of standby power consumption and guarantee of user experience, the invention adopts the following technical scheme: the intelligent optimization method for the standby power consumption of the electric vehicle charging system comprises the following steps: establishing a multi-stage dormant state mechanism; through a data driving method, the optimal state granularity in the multi-stage dormant state is automatically determined, and a state conversion threshold value is dynamically adjusted; acquiring an environment state sensing feature vector; a standby power consumption optimization problem is converted into a sequence decision problem, the sequence decision problem is solved according to a multi-stage dormant state mechanism and an environment state sensing feature vector, and the sequence decision problem is to determine which state conversion action should be executed at what time. The method has the beneficial effect that the dynamic balance between the standby power consumption reduction and the instant response of the charging system is ensured.

This invention discloses a heuristic dynamic memory weighting and recall reordering method, comprising six steps: initial impression value calculation, Ebbinghaus forgetting curve modeling, recall depth parameterization, multi-dimensional independent sorting, multi-dimensional result fusion, and recall-triggered impression value inversely proportional increment. This invention simulates the natural decay of memory through an 8-stage Ebbinghaus forgetting curve, achieves a recall-as-reinforcement effect through an inverse impression value increment mechanism, comprehensively considers semantic similarity, temporal freshness, and memory importance through multi-dimensional reordering, and flexibly adjusts the breadth and depth of recall through recall depth parameterization. This invention provides two forgetting curve implementation methods: discrete-stage lookup table method and continuous curve calculation method (including exponential decay type and power-law decay type), suitable for different application scenarios. This invention significantly improves the intelligence level and anthropomorphism of AI long-term memory systems, enabling AI to perform natural memory recall like humans.

The application discloses a kind of based on scheduling model's multi-source analysis method and system of interbasin water transfer project, establishes the multi-modal coordination of error compensation based on to come water and water demand prediction model, obtains come water and water demand forecast data using the prediction model;Determine the priority weight between water supply benefit and risk, and establish the large-scale complex interbasin water transfer model of water supply benefit maximization and risk coordination;According to the priority weight and forecast data using the water transfer model obtains optimal water transfer scheme;Collect historical water supply data, obtain current water supply rule prediction data based on bidirectional recurrent neural network, and construct water source model;Using the water source model obtains the water source composition of each water receiving area.The present application significantly improves the intelligent level and decision efficiency of interbasin water transfer project scheduling management.

This invention belongs to the field of information security and relates to a security monitoring device based on a VPX architecture. It includes: a main processing module for processing and computing business data; a bridge module electrically connected to the main processing module for expanding auxiliary peripherals; a management and control module electrically connected to both the main processing module and the bridge module for system status monitoring and management; a network communication module electrically connected to the bridge module for providing four gigabit Ethernet interfaces to enable data interaction between systems; and a first level conversion module electrically connected to both the management and control module and the main processing module. This invention achieves end-to-end autonomous control from computation and control to security, enabling the perception and management of device health status, significantly improving fault diagnosis efficiency and system maintainability. It can operate stably in harsh environments such as national defense and aerospace, significantly improving system reliability and lifespan.

This application relates to the field of automotive quality control technology, and in particular to a method and system for tracing and managing the quality data of automotive parts throughout their entire lifecycle. The method includes: first, acquiring the quality data of the parts throughout their entire lifecycle and identifying the corresponding lifecycle stages; then, retrieving a matching set of quality management rules from a preset strategy library and extracting core and auxiliary quality actions; next, traversing historical operation records to verify whether all core actions have been executed, calculating the execution ratio of auxiliary actions after achieving the target, and determining whether the stage completeness threshold has been reached; if the target is met, generating a stage migration instruction and a list of quality tasks for the next stage, executing the instruction to update the stage identifier, distributing tasks to the corresponding control nodes, and triggering subsequent data collection and verification. This application helps to achieve standardized and closed-loop control of quality data throughout the entire lifecycle, improving the efficiency and accuracy of quality traceability and control.

This invention discloses a method, apparatus, and device for detecting infant vital signs using millimeter waves. The method includes a visible light acquisition unit that acquires visible light image sequences of the crib surface area, a millimeter wave acquisition unit that simultaneously acquires millimeter wave echo data of the crib surface area, a target range determination module that combines a preset or calibrated crib surface area with the infant's body area detected by the visible light images to determine the target position range of the infant on the crib surface and map it to the millimeter wave detection range, and a dynamic gating module that controls the freezing, restoration, or restart of the millimeter wave vital sign detection process. Through the collaborative design of visible light-assisted and millimeter wave vital sign detection, based on a preset or calibrated crib surface area and combined with the infant's body area detection results, the target position range of the infant is mapped to the millimeter wave detection range. Vital sign signals are extracted based on the echo data of this target range, improving the targeting and effectiveness of millimeter wave vital sign detection.

The application discloses an IGBT module intelligent monitoring system integrated with a temperature sensor and relates to the technical field of power electronic equipment monitoring.The system comprises the following: an information acquisition unit, which comprises a detection loop formed by various sensors, acquires data, processes the data, generates a structured data set, and transmits the structured data set to a hot state evaluation unit; the unit predicts junction temperature trends, quantifies thermal margins, generates an evaluation report, and issues the evaluation report to a collaborative decision unit; the unit calculates optimal instructions and transmits the optimal instructions to a precise regulation and control unit; the latter executes regulation and control, records logs, acquires parameters, triggers protection, and feeds back corrections, thereby forming a closed-loop control; the application builds a multi-unit collaborative closed-loop control architecture, integrates multiple functions, realizes full-dimensional perception and fine management of IGBT modules, optimizes data processing and regulation and control logic, realizes efficient linkage of monitoring and regulation and control, predicts junction temperature changes, combines graded protection and dynamic correction, adapts to different working conditions, prolongs the service life, and improves the stability, reliability and operation efficiency of the system.

The application relates to the technical field of data processing, and discloses a quick sorting method and system for instant invoice of different specifications, which comprises the following steps: determining an order type based on order information, locking target inventory based on the order type, and triggering a three-way locking mechanism; horizontally and vertically counting the target inventory and performing inventory lending processing; screening the ticket state of the target inventory, and filtering out the to-be-sorted tickets with the ticket state of 'locked' and 'problem ticket' from the target inventory; detecting the allocation specification of the order information, and triggering the box opening logic if the allocation specification is the same; and sorting the target inventory based on the order information. Through specification level association and dynamic lending, the application solves the problems of insufficient sorting specification accuracy, low efficiency caused by separate database and table, large artificial checking workload, and delayed real-time data statistics in instant invoice sorting.

The application discloses a kind of baseline deviation identification method and system of low-dimensional discrete perception of industrial process, by gathering low-dimensional discrete perception data in industrial process key node, establish individualized process state baseline model for specific equipment, process stage, and calculate the statistical deviation degree of current state relative to baseline, to realize early identification and early warning of abnormal operation trend.The application overcomes the shortcomings of traditional high-dimensional monitoring system, such as high cost, complex maintenance and difficulty in adapting to individual differences, and has the characteristics of low cost, easy deployment, strong adaptability and long-term stable monitoring, suitable for various industrial scenes such as rotating equipment vibration monitoring, thermal process tracking and fluid system leakage detection.

This invention relates to the field of financial marketing technology, specifically to an integrated financial marketing management method and system based on marketing data domains. The method includes the following steps: collecting customer transaction and preference data, calculating the magnitude of change and normalizing it into feature vectors; analyzing group differences, calculating the rate of change, and generating a judgment result; combining lifecycle data clustering stage numbers and conversion progress matching rhythm parameters to generate personalized marketing plans; calculating ad placement frequency and consultant service ratio according to multi-group needs for optimized resource allocation; collecting interaction and transaction data after resource allocation, inputting it into a regression model for analysis, and generating marketing effectiveness evaluation results. In this invention, by collecting customer transaction and preference data, quantifying changes, and normalizing them into feature vectors, analyzing group differences to dynamically identify states, combining lifecycle clustering matching rhythm parameters to generate strategies, optimizing ad placement frequency and consultant service ratio according to group needs, and using regression analysis to form a closed-loop optimization management system.

This invention relates to the field of computer technology and discloses a personnel allocation decision-making method, system, electronic device, and storage medium based on working hour data. The method includes acquiring working hour data, classifying and structuring it, and performing multi-dimensional statistical analysis on the classified working hour data to generate a working hour distribution map; calculating the maximum number of personnel at full capacity based on the total annual working hour demand and the standard working hours available per person per year; acquiring data on the difference between actual working hours and statutory standard working hours, as well as unused leave, and calculating the equivalent personnel shortage based on an overtime compensation model; establishing a resource balance model that includes constraints such as shift work, skill level matching, time period distribution, and management redundancy, calculating the resource balance coefficient, and correcting the maximum number of personnel at full capacity to obtain an executable personnel allocation base; and determining the personnel allocation plan by combining the equivalent personnel shortage, the personnel allocation base, and future working hour demand. This invention can improve the executability of personnel allocation decisions.

This application discloses a human resource allocation method and system based on multi-source employment demand, relating to the field of knowledge graph technology. The method includes: acquiring employment task types and multi-dimensional task demand information; obtaining family-of-tasks and family-of-task demand information; and extracting neighboring task groups and neighboring task demand information groups; generating multi-dimensional capability parameters; processing and acquiring human resource matching degree, matched human resource information, and matched multi-dimensional capability parameters; and extracting neighboring human resource information groups and neighboring multi-dimensional capability parameter groups; performing derivative task matching analysis to obtain derivative human resource matching degree; and optimizing human resources based on the human resource matching degree and derivative human resource matching degree to obtain optimal human resource information for allocation. This application solves the technical problems of existing human resource allocation methods lacking the ability to predict potential derivative tasks and exhibiting information silos between the human resource database and the task database, leading to low matching efficiency and accuracy.

The application provides a management method, device and equipment of wireless device assets, and a medium, and relates to the technical field of communication. The method comprises the following steps: acquiring positioning information of a plurality of wireless base station devices, and acquiring site location information of a plurality of wireless communication sites; based on the positioning information of the plurality of wireless base station devices and the site location information of the plurality of wireless communication sites, a plurality of sets of device association relationships are established, wherein each set of device association relationship comprises a wireless base station device and a wireless communication site associated with the wireless base station device; in the case that it is determined that the registration information of the wireless device assets is incorrect based on the plurality of sets of device association relationships and a preset error determination condition, error information of the wireless device assets is generated. According to the embodiment of the application, fine management of the wireless device assets can be realized.