22results about How to "Realize scientific" patented technology

The invention provides a business workflow dynamic arrangement and optimization method based on a large model agent, and the method comprises the steps: (1) analyzing the features and operation logic of a multi-element business workflow, and defining a business workflow description language; and (2) decomposing a complex business process construction process, and providing a layered process modeling system to guide a large model agent to construct a workflow model. And (3) constructing a task execution queue based on the task dependency relationship, and dynamically executing and monitoring the workflow. And (4) according to the execution log of the business workflow, discovering the bottleneck, redundancy and abnormity of the workflow model by adopting a process mining algorithm, and proposing a process improvement and optimization strategy. And (5) constructing a collaboration framework of a plurality of large model agents, and realizing dynamic arrangement, monitoring and optimization of the business workflow. According to the method, the defects that the current business workflow construction depends on experience of designers, and effectiveness and function requirements are difficult to guarantee are overcome; the defect that the business workflow is difficult to adapt to dynamic demand changes is overcome.

This invention provides a method and system for predicting vehicle speed in commercial vehicles using the E-Power architecture, relating to the field of commercial vehicle speed measurement technology. First, vehicle operating data is collected via hardwired and CAN bus lines. Second, the PCA method is used to extract features from the collected vehicle operating data, obtaining variables highly correlated with vehicle speed, which serve as input to the speed prediction model, improving computational efficiency. Finally, a speed prediction model is established based on a recursive fuzzy neural network and a multi-step prediction strategy, achieving accurate prediction of vehicle speed during operation and improving fuel economy and driving comfort.

The invention discloses a sheet metal processing intelligent control method and system based on multi-source data feedback, and relates to the technical field of industrial digital control, and the method comprises the steps: obtaining the data of a to-be-processed sheet metal part, and according to the data of the to-be-processed sheet metal part, based on the geometric characteristics and deviation sensitive characteristics of a sheet metal part processing path, calculating the processing path of the sheet metal part; differentiated machining areas are divided, and a partition machining map is generated. According to the method, differentiated classified management and control of the processing areas are realized through the partitioned processing map, a regional basis is provided for subsequent differentiated process parameter configuration, accurate distribution of acquired resources is realized through configuring data acquisition frequency and precision parameters based on the regional deviation sensitivity level, deviation causes are quantified through a data model, and the accuracy of the data model is improved. And the technological parameter adjustment amount is deduced in combination with the equipment constraint range and the parameter sensitivity, so that the scientificity and accuracy of parameter adjustment are realized, the problems of insufficient blindness and adaptability of traditional manual experience adjustment are solved, and the precision consistency of sheet metal processing is improved.

The application discloses a cabin reverberation parameter recommendation method and system based on a multi-dimensional objective evaluation model, which comprises sound field equalization and reverberation acoustic data acquisition; multi-dimensional objective feature extraction, fusion and dimension reduction; multi-dimensional objective evaluation model modeling; based on indoor acoustics, sound quality evaluation and Zwicker psychoacoustic model and Filter Mode, facing cabin audio application scenarios, including voice mode, concert hall / theater mode, pop / electronic music mode, respectively outputting corresponding RT, C80 parameter value range, and executing on a vehicle-mounted DSP to realize adaptive reverberation parameter configuration. The application constructs a quantifiable multi-dimensional evaluation objective model Model=f(RT, C80) with reverberation time RT and clarity C80 as input and with intelligibility STI, sound quality SQ and surround sense LEV as output, and recommends optimal reverberation parameter configuration for different audio scenes based on the model.

The invention relates to the technical field of intelligent medical treatment, in particular to a hospital-oriented intelligent scoring performance assessment method, system and device and a medium, and the method comprises the steps: obtaining the performance data of a plurality of hospitals, and extracting a standardized performance indicator vector; unsupervised clustering analysis is carried out on the standardized performance indicator vectors, multiple performance levels are divided, and benchmark groups are determined based on the performance levels; on the basis of the performance data of the benchmark group, key performance indicators and critical threshold values thereof are identified, and score weights are deduced through reverse regression analysis; constructing a scoring formula based on the key performance indicators, the critical threshold values and the scoring weights; and based on the performance data, calculating the comprehensive performance score of each hospital by using a scoring formula. According to the method, objective and adaptive scoring based on data driving can be realized, and scientificity and efficiency of hospital performance assessment are remarkably improved.

The invention discloses a three-network emergency resource optimization method and system fused with an unmanned aerial vehicle communication relay, and belongs to the technical field of power system planning and disaster defense, and the method comprises the steps: building a communication power supply coupling model based on an unmanned aerial vehicle relay drive, and obtaining a communication recovery basic framework; constructing an outer layer optimization model taking the pre-disaster multi-type emergency resource layout scheme as a decision variable; an improved bald eagle optimization algorithm is adopted, constraint conditions of a communication recovery basic framework are embedded, an outer layer optimization model is iteratively solved, and a pre-disaster resource deployment scheme which is most robust in all scenes is determined; constructing an inner-layer model by adopting mixed integer second-order cone programming, performing refined solution on post-disaster emergency response, and optimizing a pre-disaster resource deployment scheme; and constructing a double-layer robust optimization model to realize three-network emergency resource optimization. According to the method, the cooperative scheduling capability of multiple types of resources in pre-disaster, in-disaster and post-disaster stages can be improved, the guarantee capability of key loads is enhanced, and the method has global search capability and engineering adaptability.

The application discloses a kind of flight platform cluster's track planning method and device, the method includes: collection obtains task demand information set and flight platform cluster technical index information set;The task demand information set includes the execution position and demand information of each to be executed task;The demand information includes demand task type information and the demand value of all technical indexes;The flight platform cluster technical index information set includes the execution task type information, position information and technical index value set of each flight platform;The technical index value set includes several technical index values;The task demand information set and flight platform cluster technical index information set are preprocessed, and obtain preprocessed information set;The preprocessed information set is subjected to track planning processing, and obtains the track set of flight platform cluster.

The present application relates to the field of medical information technology, in particular to a medical consumable intelligent evaluation system fusing evidence-based medicine and personalized analysis. The system comprises a data fusion module, an evidence-based evidence management module, a personalized analysis module, a decision interaction module and a closed-loop feedback tracing module. The data fusion module integrates internal and external data of the hospital to generate a structured data set; the evidence-based evidence management module quantitatively grades the evidence and constructs a dynamic evidence database; the personalized analysis module combines patient characteristics and preferences, and outputs individualized multi-dimensional analysis results through a patient-surgery scene-consumable matching model; the decision interaction module generates structured options based on the analysis results, supports doctor-patient collaborative decision-making and records the process; the closed-loop feedback tracing module collects real-world feedback data for calibrating and iteratively optimizing the matching model. The present application realizes intelligent, reasonable and personalized evaluation of medical consumables, and improves the scientificity, interpretability and auditability of the evaluation.

The invention provides a steam generator heat transfer tube wear prediction and intelligent tube blocking method and system. The method comprises the steps that flow fields, vibration fields and wear databases of a heat transfer tube under different working conditions and positions are constructed through analogue simulation and real overhaul data of a nuclear power plant; constructing a training sample based on the constructed flow fields, vibration fields and wear databases of the heat transfer tube under different working conditions and positions; respectively training the flow field prediction model, the vibration field prediction model and the wear coefficient prediction model; during the unit overhaul period, operation data of a steam generator, position information of each heat transfer pipe and a supporting plate and corresponding abrasion data are obtained; respectively carrying out pretreatment; utilizing the trained flow field prediction model, vibration field prediction model and wear coefficient prediction model to predict the wear depth during the next overhaul; and judging whether the predicted wear depth during the next overhaul reaches or exceeds a set threshold value, and triggering and controlling the automatic pipe plugging operation when the wear depth reaches or exceeds the threshold value.

The invention discloses an endangered plant phoebe hainanensis identification and systematic monitoring method based on multi-source data fusion, and belongs to the technical field of endangered plant protection. According to the method, a potential distribution area is delineated through a species distribution model, individual accurate identification and filing are achieved through a multi-branch feature fusion model, multi-scale growth and microenvironment data are collected through Internet of Things nodes, and finally a'discovery-identification-monitoring-protection 'whole-process closed loop is formed through a unified data management platform. According to the method, phenological feature extraction, transfer learning modeling, man-machine collaborative verification and low-power-consumption Internet of Things monitoring technologies are adopted, and the problems that a traditional method is low in efficiency, insufficient in recognition precision and fragmented in monitoring are solved. According to the method, efficient discovery, accurate identification and long-term dynamic monitoring of the wild population of the phoebe hainanensis are achieved, scientific support is provided for protection decision making, and the method is convenient to operate and high in practicability and has protection value and application prospects.

The application provides a kind of city granularity-based vehicle transfer path calculation method, system and terminal machine, belongs to the field of vehicle path planning, constructs adjacent city data network;Vehicle path data network is constructed;According to the input condition, the shortest path between nodes is calculated using Dijkstra algorithm, and the strategy of greedy algorithm is adopted, the adjacent nodes of the vertex closest to the starting point and not visited are traversed each time, until the end point is expanded, to obtain the hottest route between any two nodes or multiple nodes.The method is based on the actual vehicle operating conditions, from the perspective of city transfer, analyzes the transfer trend and heat between cities, and provides an effective method for finding popular routes, with strong practical value.

The application discloses a spoken language evaluation system and method based on multiple dimensions, and relates to the technical field of data processing.The system comprises the following steps: obtaining audio text, a phoneme list and a phoneme time boundary list corresponding to speech data according to a pre-trained text phoneme recognition model; calculating a fluency score according to the phoneme list and the phoneme time boundary list; obtaining a semantic score of the audio text through a pre-trained semantic model; obtaining a syntax score of the audio text through a pre-trained syntax model; matching the audio text and an answer text according to a text matching method based on an edit distance to obtain a text matching score; obtaining a pronunciation score of the audio data finally through phoneme confidence of the phoneme list; dynamically adjusting the weight of each dimension score according to the length of the audio text, and calculating a final spoken language evaluation score; and the application comprehensively evaluates the spoken language ability through multi-dimensional evaluation and dynamic weight adjustment according to the scene, and realizes the comprehensiveness, fairness, accuracy and high efficiency of the spoken language evaluation.

The invention discloses a dynamic optimization design method for the width of a protection coal pillar of a main roadway of a rock burst mine. The method comprises the following steps: step 1, determining the initial design width B0 of the protection coal pillar; 2, active weakening treatment is conducted on the protection coal pillar top plate corresponding to the width B0, and the actually-measured maximum stress concentration coefficient Kmeas is obtained; 3, the coefficient Kmeas is compared with a preset critical value [K], and whether the width of the coal pillar can be optimized or not is judged; 4, reducing the width according to a preset amplitude delta B during optimization to obtain a trial design width Btry, repeating the steps 2-3, and performing iterative verification until the minimum safety coal pillar width Bmin meeting the design condition is determined; and step 5, storing the minimum safety width Bmin and associated parameters into a database, and guiding subsequent similar condition design. The dynamic optimization design method provided by the invention solves the problems that the traditional design is static and rigid, the resource waste is serious, the treatment efficiency is not fed back to the design, and the traditional design is difficult to adapt to complex conditions.

This invention provides a rapid modeling method and terminal for variable cross-section leaf springs used in light trucks, relating to the field of light truck technology. The method involves calculating the geometric contours of each leaf spring in its extended state, selecting sample points at equal intervals along the length of each leaf spring in its extended state, and calculating the sample point data including coordinates and thickness. The method then calculates the geometric contours of each leaf spring in its free state. Based on the free state of each leaf spring, sample points are reselected, and corresponding sample point data is obtained through interpolation and exported. A leaf spring modeling file and an assembly parameter file are created. The sample point data of each leaf spring in its free state are imported into the leaf spring modeling file, and the leaf spring assembly parameters are imported into the assembly parameter file. The leaf spring toolbox is run to generate the leaf spring model, defining the leaf spring lugs and material properties to create the leaf spring model. This method uses a procedural approach, which can quickly and accurately calculate the sample point data of the variable cross-section leaf spring, improving the efficiency of leaf spring modeling and the accuracy of model creation.

The application provides a hydropower unit maintenance integrated hoisting method, system, equipment and medium, and belongs to the technical field of hydropower unit maintenance, the method comprises the following steps: obtaining the size and three-dimensional space coordinates of the hoisting target object; based on the size and three-dimensional space coordinates of the hoisting target object, and the load limit of the hoisting equipment, the space obstacles of the operation area and the safety distance constraint conditions determined in advance, an improved A* algorithm is used to generate multiple hoisting operation paths; in response to the path confirmation instruction, the actual operation path is obtained, and the hoisting equipment is driven to operate based on the actual operation path; the improved A* algorithm is used in combination with the working conditions of the hydropower unit maintenance site, multiple conditions such as the load limit of the hoisting equipment, the space obstacles of the operation area and the safety distance constraint are comprehensively integrated, the safety cost, obstacle penalty and load cost calculation are added on the basis of the traditional path planning, and multiple hoisting paths meeting different operation requirements can be generated.

This invention discloses a method and system for constructing a multi-scenario wireless network for power systems based on secure access, relating to the field of power communication technology. The method includes acquiring full power node data of the power system, extracting core influencing indicators of the nodes, and dividing the power nodes into different levels through quantitative analysis and hierarchical partitioning algorithms to obtain a hierarchical power node dataset. This invention achieves quantitative and scientific evaluation of power nodes through node hierarchy coefficients. By dividing nodes into four levels and constructing a hierarchical dataset, it achieves precise hierarchical partitioning and standardized interaction permissions for power nodes. By extracting hierarchical end nodes and filtering core source nodes based on connectivity and load rate, it constructs a node topology graph, achieving scientific partitioning and load balancing of power nodes at the same level. This ensures the network adapts to the differentiated secure access requirements of multiple scenarios such as production control and dispatch communication, improving the efficiency of wireless network construction.

The application discloses an AIS beacon-based navigation information publishing method and system, relates to the technical field of navigation aid, and comprises the following steps: acquiring multi-source beacon data, and obtaining multi-source beacon state data through data collection channel convergence mapping; utilizing a quick screening mechanism to screen and analyze, obtaining a beacon state data set to be published, and performing priority sorting to obtain priority beacon data information; based on publishing adaptation processing, obtaining a standardized publishing data package, and performing differential matching to obtain corresponding publishing instructions; utilizing an AIS communication link to publish the standardized publishing data package to a corresponding target navigation area; constructing a publishing state monitoring system, dynamically monitoring the execution process of the publishing instructions by utilizing the publishing state monitoring system, and optimizing the publishing parameters by combining the monitoring results and feedback information, to obtain optimized publishing control parameters. The application improves the accuracy and efficiency of beacon navigation information publishing.

The disclosure provides a collaborative optimization configuration method and system based on dynamic evolution characteristics of a power distribution network, and belongs to the field of power distribution network planning. The method comprises the following steps: establishing a line fault rate function of a unit length of a line of the power distribution network under the influence of freezing rain disasters; establishing an index related to the load demand of the power distribution network and a line fault rate growth rate index related to the line fault rate function, forming a dynamic evaluation index system for evaluating the power distribution network planning; processing the indexes in the dynamic evaluation index system, and establishing a multi-index comprehensive cloud model; combining the multi-index comprehensive cloud model to calculate the similarity between adjacent years based on the indexes in the dynamic evaluation index system, and dividing different stages of the power distribution network planning. The method and system provided by the disclosure can realize the scientificity and refinement of the power distribution network planning.

The invention relates to the technical field of orchard monitoring, and discloses a citrus orchard environment monitoring and intelligent early warning system based on the Internet of Things, and the system comprises a data collection and evaluation module; a sensing target setting and equipment laying module; a disease and pest prediction module; a risk level evaluation module; and a personalized operation module. Environment and plant health data are collected in real time through a multi-source sensor, in combination with phenological stage division and disease and pest rhythm analysis, a sensing target is dynamically set, equipment layout is optimized, the disease and pest occurrence probability is accurately predicted by means of time sequence map matching and a climate-driven mechanism, and finally personalized operation suggestions are generated based on risk level assessment. Full-chain closed-loop management from data acquisition, intelligent early warning to precise prevention and control is realized, and scientificity, timeliness and prevention and control efficiency of citrus orchard management are remarkably improved.

The application provides a multi-dimensional risk information visualization method and system based on cognitive load optimization, and relates to the technical field of data visualization. It includes: social risk multi-dimensional data attribute analysis and classification; calculating the perception efficiency coefficient of each channel; fusing scene prior, data-driven and user-defined three-source signal to calculate information importance weight, and combining dimension complexity to construct cognitive load function; under the constraint of channel mutual exclusion, the optimal mapping configuration of data attribute to visual channel is solved with the goal of minimizing total cognitive load; the current task type of the user is identified, the view importance weight is calculated, and after stability control processing, the screen space is dynamically optimized and allocated through a nonlinear allocation algorithm; finally, a multi-view linkage interface is rendered and presented. Through the perception efficiency driven visual encoding optimization and task driven layout dynamic adaptation, the cognitive load of the management personnel is significantly reduced, and the risk judgment efficiency and system usability are improved.

The invention discloses a relay fault identification method considering contact quality, relates to the technical field of relay fault identification, and solves the problem that the relay fault identification result is inaccurate due to the fact that the contact quality of a relay is not considered in the relay fault identification process in the prior art. According to the method, a multi-parameter weighted comprehensive evaluation system with the contact quality as the core is constructed, the contact resistance value, the fluctuation standard deviation of the contact resistance value and the pull-in and release time characteristics of the contact resistance value are synchronously considered, the contact quality is improved from single parameter judgment to quantifiable comprehensive scoring, a state grading and fault recognition linkage mechanism is established, and the contact quality evaluation accuracy is improved. The defect of insufficient identification accuracy caused by neglecting the contact quality in the prior art is effectively overcome, and the relay fault identification precision and the intelligent level of power grid equipment state maintenance are remarkably improved.

The present application relates to a kind of highway photovoltaic power generation potential evaluation method and device based on unmanned aerial vehicle, method includes: by unmanned aerial vehicle, obtain highway along high-resolution multispectral image, laser point cloud and meteorological observation data;Data is automatically preprocessed and fused to generate feature dataset containing terrain, ground cover and weather information;Based on the dataset, the key factor that influences photovoltaic power generation is analyzed and quantified, and a standardized factor vector is formed;The factor vector is input into the prediction model constructed by the fusion of analytic hierarchy process and neural network, and the photovoltaic power generation potential of each evaluation unit and the whole road is calculated, and a visual evaluation report is automatically generated.The method effectively overcomes the problems of insufficient accuracy of traditional satellite remote sensing and low efficiency of manual survey, realizes efficient, accurate and comprehensive automatic evaluation of highway photovoltaic resources, and provides a reliable basis for photovoltaic project planning and decision-making.