15results about How to "Achieve automatic optimization" patented technology

The application discloses a spunlace non-woven fabric rewinding equipment collaborative control method and system based on the Internet of Things, and relates to the field of electric digital data processing.The method comprises the following steps: obtaining historical data and preprocessing to obtain a plurality of three-dimensional data sequence sets of roll diameter-torque-tension under normal working conditions; dividing the plurality of three-dimensional data sequence sets into a plurality of roll diameter slice sample groups and screening to obtain a non-woven fabric flat data set; performing nonlinear fitting on the non-woven fabric flat data set and constructing non-woven fabric flat upper and lower tracks; based on the non-woven fabric flat upper and lower tracks, real-time marking of an abnormal data interval in the current rewinding process is performed, and abnormality determination is performed in cooperation with an image detection mechanism; after the current rewinding process is completed, the non-woven fabric flat upper and lower tracks are updated and optimized. The application can dynamically adapt to roll diameter changes, accurately mark abnormal intervals and accurately determine abnormal working conditions in cooperation with an image detection mechanism, thereby effectively improving the quality control level of spunlace non-woven fabric rewinding production.

The present application relates to the technical field of distributed model training, and provides a model distribution parallel training process automatic optimization method, system and device. The method comprises the following steps: defining a task plane according to the communication and computing power of a neural network model, dividing the task plane to obtain a divided task plane; constructing a training time consumption model according to the divided task plane to obtain total time consumption; using a tournament algorithm to design a genetic algorithm to solve the training time consumption model according to the total time consumption to obtain a training optimization result; and embedding the training optimization result into the neural network model for optimization and updating. The present application models the training process in detail under the scene of a mesh pipeline and a heterogeneous network and computing power equipment. According to the established training process-training time consumption model, a meta-heuristic algorithm is applied to search for an optimal solution to realize automatic optimization of the distributed parallel training process.

Embodiments of the present application provide a prompt word generation method and device, equipment, storage medium and program product, relating to the technical field of financial technology and artificial intelligence. The method comprises: collecting first interaction behavior data between a user and a large language model and generating a first interaction feature vector based on the first interaction behavior data; inputting the first interaction feature vector into a first model to obtain a quality score of a first prompt word of the large language model; in the case that the quality score of the first prompt word is lower than a first threshold, generating a rewrite trigger signal and generating a new version of the first prompt word based on the rewrite trigger signal. The method of the present application can improve the efficiency of prompt word generation and the performance of the large language model.

The application belongs to the technical field of embroidery and discloses an AR-based embroidery method, system, AR glasses and storage medium, which comprises the following steps: inputting an embroidery sketch into a cycle generative adversarial network to obtain an embroidery pattern, wherein the cycle generative adversarial network is used for feature fusion of line structures of the embroidery sketch and embroidery patterns and generation of the embroidery pattern; embroidering according to the embroidery pattern by using AR glasses; in the embroidery process, in response to collected eye movement data and brain wave data, inputting the eye movement data and the brain wave data into an emotion model to obtain an emotion quantitative index, searching for the emotion quantitative index in a preset color-emotion association library to obtain a recommended color combination and displaying the recommended color combination. The application can realize convenient and efficient personalized embroidery work creation assistance.

The embodiment of the invention discloses a data optimization method and device, equipment, a storage medium and a product. The method comprises the steps that associated data and reference information of a to-be-optimized statement are obtained, the associated data comprise an analysis process of the to-be-optimized statement, the reference information comprises a rewriting example of a reference statement, supplemental content retrieval is conducted on the to-be-optimized statement, and supplemental content of the to-be-optimized statement is obtained; and rewriting the analysis process based on the to-be-optimized statement, the rewriting example of the reference statement and the supplementary content to obtain a rewritten analysis process, and generating an optimization result of the to-be-optimized statement through the rewritten analysis process. It can be seen that the analysis process of the to-be-optimized statement is rewritten by adding the rewriting example and the supplementary content of the reference statement, automatic optimization of the to-be-optimized statement can be achieved, and the optimization efficiency of the to-be-optimized statement is improved.

The application discloses a design, verification analysis and optimization method of a bracket-free invisible orthodontic appliance model, and belongs to the technical field of oral orthodontics. The design method of the application adopts a cooling method to simulate and adjust the thermal expansion deformation of a local appliance model, restricts the deformation direction and size, and realizes the design deformation of the appliance model. The analysis verification method of the application comprises iterative simulation of the osteogenesis and osteolysis biological effect under orthodontic treatment force based on computer three-dimensional finite element analysis, simulation of wearing of the appliance, reading of simulation results, and analysis and verification. The optimization method of the application is based on the simulation results. The application creatively adopts a "cooling method" with prestress loading to realize the model deformation simulation of the appliance, and can combine the finite element simulation of the periodontal membrane biological effect of the actual clinical treatment time. The application implements the step-by-step design, analysis verification and optimization of the invisible orthodontic appliance model according to the analysis verification results.

The invention relates to the technical field of three-dimensional geographic modeling, in particular to a land utilization planning auxiliary method and system based on a 3D terrain model, and the method comprises the following steps: obtaining point cloud and elevation information, converting the information into a terrain curved surface, discretizing the information into a voxel grid, analyzing a planning index, converting the planning index into a geometric constraint boundary, and traversing to construct a planning voxel field. Calculating earthwork digging and filling requirements and sunshine hours to generate an evaluation matrix, correcting the building voxel distribution and finely adjusting the terrain elevation. According to the method, terrain refined expression is realized by using an octree segmentation algorithm, indexes such as a plot ratio are converted into three-dimensional space geometric constraints, site suitability is evaluated through connectivity analysis, and building layout and earthwork balance are automatically optimized by adopting morphological operation, so that the problems of lack of space intuition and error accumulation in traditional two-dimensional planning are solved; the planning calculation precision and decision scientificity under the complex terrain are remarkably improved, and dynamic adjustment and visual expression of the scheme are achieved.

This application provides a model update method, apparatus, device, medium, and product. The method includes: acquiring target item features of a first item uploaded by a first user, the target item features including at least one of item usage status, item attribute parameters, and item identifier; performing a quality assessment on each target item feature using a quality assessment model to determine a first assessment result corresponding to each target item feature; acquiring target quality inspection information uploaded by a second user, the target quality inspection information including at least a second assessment result obtained by the second user on the quality assessment of the target item features in the second item; acquiring a first deviation between the first assessment result and the second assessment result, and updating the quality assessment model in reverse based on the first deviation. This method can improve the accuracy and timeliness of users determining the quality assessment results of target items online.

The invention discloses a two-phase flow jet flow atomization coordinated intelligent condensation regulation and control system and method, and relates to the technical field of condensation regulation and control. Comprising the following steps: S1, collecting collaborative condensation regulation and control data in real time, and carrying out data preprocessing; s2, the condensation working condition is judged in real time, and a jet atomization and condensation cooperation mode is switched according to the condensation working condition; s3, entering a jet atomization and condensation cooperation mode, evaluating the intensity of atomization spraying, and carrying out graded regulation and control on jet atomization and condensation cooperation; s4, evaluating the comprehensive safety of the liquid level and the energy efficiency in real time in the jet atomization and condensation coordinated regulation and control process, and adjusting the liquid discharge and condensation operation mode based on the evaluation result of the comprehensive safety of the liquid level and the energy efficiency. The problems that for a high-heat-flux data center, the condensation link of an existing two-phase immersion liquid cooling system mainly focuses on passive condensation and lacks active intelligent regulation and control, steam accumulation, cavity pressure fluctuation and condensation lag are prone to occurring under high loads, and the heat dissipation stability and efficiency are affected are solved.

The application discloses an artificial cooling equipment parameter automatic optimization method and system based on soil data analysis, and relates to the technical field of artificial cooling. The method comprises the following steps: building a regional soil cooling simulation space according to three-dimensional soil structure information, water injection well distribution information and extraction well distribution information; obtaining three-dimensional soil temperature distribution through distributed optical fiber temperature measurement equipment monitoring, and calculating three-dimensional soil temperature difference distribution in combination with a preset cooling target; constructing a regional soil cooling prediction model based on a soil flow mechanism and the regional soil cooling simulation space; using the regional soil cooling prediction model to perform iterative optimization of cooling equipment parameters, and outputting adaptive equipment parameters; and controlling the cooling device and the heat energy recovery device to perform soil cooling work in a target region according to the adaptive equipment parameters. The technical problems of low cooling efficiency, excessive resource consumption and local hot area residue caused by the fact that the artificial cooling equipment parameters cannot be dynamically changed and optimized in real time according to soil data in the prior art are solved.

The application discloses a mirror image reorganization method and electronic equipment, and relates to the technical field of storage service equipment, and comprises the following steps: identifying a first target node in an offline state based on the current state of at least one cluster node of a target mirror image ring, and determining a first mirror image pair of the first target node; determining a second target node and a third target node of the first mirror image pair according to the first target node and the first mirror image pair; acquiring the load of the second target node and the load of the third target node; and obtaining a mirror image reorganization result of the first mirror image pair according to the load of the second target node and the load of the third target node. The technical problem that the storage cluster node cannot dynamically adapt to abnormal scene switching and reversibility is poor when the storage cluster node fails or recovers is solved. Through the ring node layout and the dynamic mirror image pairing mechanism, automatic optimization and dynamic reorganization are realized when the node in the storage cluster environment fails or recovers, the mirror image pair reorganization efficiency is improved, and the load balancing demand is met.

The invention relates to the technical field of cementitious material preparation, in particular to a low-carbon cementitious material preparation method and system utilizing solid waste resources, and the method comprises the steps: obtaining a solid waste component database, constructing a plurality of cementitious material reference data based on the solid waste component database and a plurality of historical cementitious materials, performing high-performance material selection in the original solid waste material group based on the multiple pieces of cementing material reference data and the performance weight group to obtain a target solid waste material group, performing response surface optimization on the target solid waste material group to obtain an optimal solid waste proportion group, and inputting the optimal solid waste proportion group and the target solid waste material group into a target random forest model to obtain a target random forest model; and preparing the target low-carbon gel on the basis of the optimal solid waste ratio group, the target solid waste material group, the curing conditions and the exciting agent ratio. The accuracy of performance prediction of the cementing material and the efficiency of the preparation process can be improved.

The application discloses a kind of parameter optimization method and system of constant force mechanism, applied to constant force mechanism technical field, which comprises: by constructing feasible initial flexible constant force mechanism, and obtaining a plurality of initial structure parameters of constant force structure, the force-displacement characteristic curve of constant force mechanism is obtained by analysis, a plurality of initial structure parameters are analyzed, obtain several sensitive initial structure parameters, and construct constraint condition and optimization objective function, construct the cost function of description optimization objective function, and based on constraint condition, several sensitive initial structure parameters are optimized, obtain several optimization structure parameters, using several optimization structure parameters, constant force mechanism is adjusted, and obtains optimization constant force mechanism, and optimization constant force mechanism is verified.The application solves the technical problems that the prior art lacks a method for automatically designing and optimizing parameters based on constant force mechanism, resulting in a complex and low-efficiency constant force mechanism parameter optimization method.

This application discloses a video editing optimization method, device, and storage medium based on electroencephalogram (EEG) data. This application relates to the field of electronic data processing technology. The EEG-based video editing optimization method includes: responding to a received video to be edited, determining the video type based on video tags associated with the video to be edited; obtaining editing optimization rules from a knowledge base pre-trained based on EEG data and eye-tracking data according to the video type; determining multiple material segments and media elements corresponding to the video to be edited based on the audio track, image track, and text track of the video to be edited, wherein the media elements include text, images, and audio; and processing the material segments and media elements based on the editing optimization rules to generate editing optimization suggestions. This application can achieve the technical effect of improving the efficiency of video editing optimization.

The invention discloses a device and a method for promoting phosgenation reaction to produce special isocyanate, a'temperature-pressure-mass transfer-catalysis-tail gas treatment 'five-dimensional coordinated regulation and control system is established, and multi-parameter linkage closed-loop control is realized through a distributed control system (DCS): inert gas is pressurized in sections, the boiling point of a solvent is increased, and evaporation loss is reduced; the temperature is controlled by steam sections, so that local overheating is avoided; the catalyst is dynamically fed, and the reaction starting temperature is reduced; the treatment efficiency is improved by linkage of phosgene concentration and tail gas spraying. Compared with the traditional process, the method has the advantages that the energy consumption is reduced by 35%-40%, the reaction time is shortened by 20%-25%, the acidity (in terms of H2SO4) of the product is less than or equal to 0.001%, the content of hydrolyzed chlorine is less than or equal to 100 ppm, unmanned operation can be realized, and the method is suitable for clean production of 1, 5-pentamethylene diisocyanate and aliphatic isocyanate of the same series, and has a wide industrial application prospect.