54 results about "Performance requirement" patented technology

The invention relates to a method, a system and equipment for predicting creep stress at a joint of a concrete structure and a medium. The method comprises the following steps: testing a concrete structure material and a concrete structure joint filling material, and constructing a joint material performance database based on test data; constructing a multi-scale mechanical model comprising a macrostructure model and a microcosmic interface model based on the seam material performance database; constructing an interface constitutive relationship based on the seam material performance database and the multi-scale mechanical model; and predicting the creep stress at the joint of the concrete structure based on the material performance database at the joint, the multi-scale mechanical model and the interface constitutive relationship. The method can fully consider the sudden change of the performance of the material at the joint and the interface effect, provides reliable technical support for the safety evaluation and maintenance of the concrete structure, and is particularly suitable for engineering application of large-span and high-rise buildings and the like with higher requirements on the long-term performance of the structure.

The invention discloses a thermodynamic system parameter distribution method and device, and the method comprises the steps: S1, analyzing a block definition diagram and an internal block diagram from a SysML model to obtain a module structure description, a module value attribute, an interface specification of an equipment unit and a thermodynamic parameter description, and generating an analysis result, the analysis result comprises equipment unit port and connector information. And S2, based on the analysis result, mapping the equipment module to a simulation software element through name matching, and generating a steady-state thermal simulation model. And S3, associating the module value attributes with element attributes of the steady-state thermal simulation model through a parameter mapping mechanism, and generating attribute mapping data. And S4, generating a complementation parameter list according to the external design value and the heat balance demand. Therefore, the efficiency and accuracy of parameter allocation are improved, manual intervention is reduced, and it is ensured that the allocation result meets the requirements of system performance.

The invention relates to a code generation method and device, electronic equipment and a storage medium. Comprising the steps of obtaining a programming problem data set and a code generated by a target model, and obtaining a data set with rewards; based on an MSE regression training strategy and a comparison loss training strategy, training a reward model by using the data set with the reward to obtain a code reward model; and obtaining programming problem training data, sorting the programming problem training data by using the code reward model to obtain sorted training data, and obtaining a final reward according to the sorted training data, a reward model score output by the code reward model and a preset unit test score, and reinforcement learning training is carried out on a preset language model to obtain a code generation model, so that codes meeting preset performance requirements are generated through the code generation model. Therefore, the problems that in the prior art, the model reasoning cost is high, and it is difficult to capture the intermediate state and partial correctness in the code execution process to evaluate the code quality in a fine-grained mode are solved.

This application is directed to resource management in a storage system that includes a non-volatile memory and a collection of resources having one or more processing cores. The storage system allocates a first subset of resources to process queues of I / O access operations requested by a host device. The first subset of resources includes a storage controller corresponding to a subset of processing cores. The storage system obtains a first request for adjusting resource allocation of the storage device, and the first request includes a target performance requirement for processing the queues of I / O access operations. The storage system determines that the target performance requirement can be satisfied by allocation of at least a target subset of resources. In response to the first request and based on the target subset of resources, a second subset of resources is allocated for processing the one or more queues of I / O access operations.

The invention discloses a PID (Proportion Integration Differentiation) controller parameter setting method and electronic equipment. The method comprises the following steps: acquiring historical operation data of a controlled object; determining a target model of the controlled object and target model parameters of the target model according to the historical operation data; determining an initial value of a PID controller parameter based on the target model parameter; calculating a performance index of the PID controller based on the historical operation data, the target model and the current value of the PID controller parameter; determining an objective function of the PID controller according to the performance index; and based on the initial value of the PID controller parameter and the target function, carrying out multiple times of iterative optimization on the PID controller parameter to obtain an optimized target PID controller parameter. According to the method, parameter setting can be automatically realized without depending on expert experience, performance-oriented parameter setting is realized, the setting precision and efficiency are improved, different performance requirements can be self-adapted, and parameter setting optimized as required is realized.

The invention relates to training-free error compensation for compressed large language models. A Large Language Model (LLM) learns, understands and generates human-like text through machine learning, and thus is very powerful when used for various language-based tasks (e.g., text summarization, translation, and content generation). However, in order to provide superior performance, LLM typically has a considerable model scale and requires higher inference costs. In order to reduce the size and execution costs of LLMs, a method has been developed for specialized compression of LLMs. However, compared with an uncompressed model, most of the existing methods have the advantages that the accuracy is obviously reduced, or the training time is longer, and the adaptability is generally limited by a limited compression format range supported by hardware. According to the method, error compensation is provided for the compressed LLM in a training-free manner, so that flexibility is provided for various performance requirements.

The present application relates to the field of electronic devices, and discloses a control method and apparatus for an electronic device, a device, and a storage medium. The method comprises: acquiring current device information of an electronic device at a first moment; on the basis of the current device information, predicting a predicted state corresponding to a first system of the electronic device, wherein a state of the first system is related to the power consumption of the first system; and at a second moment, controlling the first system to switch to the predicted state, wherein the second moment is later than the first moment. Since the current device information is related to a usage scenario in which a user uses the electronic device, and the usage scenario is also related to a performance requirement of the user for the electronic device, a state that the first system having higher performance currently needs to enter is predicted on the basis of the performance requirement of the user, so that the state of the first system can be rationally controlled on the basis of the requirement of the user, thereby rationally balancing the performance and power consumption of the electronic device.

The invention relates to the field of bolt performance evaluation, and provides a bolt non-destructive mechanical property evaluation method and system based on indentation fusion correction. The bolt non-destructive mechanical property evaluation method based on indentation fusion correction comprises the steps that bolt surface and internal indentation and hardness test data are acquired, corresponding key feature parameters are extracted, and a sample data set is constructed according to the key feature parameters and corresponding target mechanical property parameters; training a double-layer fusion correction model by using the sample data set to obtain a trained double-layer fusion correction model, and predicting target mechanical property parameters of the bolt by using the trained double-layer fusion correction model to obtain a prediction confidence interval so as to judge whether the bolt meets mechanical property requirements or not; wherein the double-layer fusion correction model is formed by the weighted sum of a regression model of key characteristic parameters on the surface of the bolt and a regression model of key characteristic parameters in the bolt.

The invention provides a method for screening simulation material data through point cloud visualization, a storage medium and equipment, and the method comprises the steps: S1, obtaining a first material attribute and a second material attribute, the numerical value of the first material attribute is represented by a point on an x axis, and the numerical value of the second material attribute is represented by a point on a y axis; s2, retrieving material data with a first material attribute and a second material attribute; s3, constructing material groups according to the material data; s4, based on the material data, finding out the outer contour of the grouped material under the material group; and S5, displaying the material data and the outer contour. According to the method, two key performance indexes of the material are taken as coordinate axes, and performance data of different types of materials are marked on a graph in a point or region form, so that the performance distribution rule, the type difference and the relationship between the performance requirement and the material matching degree of the material are intuitively presented.

The invention provides a rapid modeling method and device for a complex functional structural member. The method comprises the steps that the complex functional structural member is divided into different stress areas; for each stress area, selecting a filling function element from a multidisciplinary function element construction library based on the performance requirement, the environmental stress load type and the space geometric constraint of the stress area; for each stress area, adjusting key parameters of the filling function element based on the environmental stress requirement and the parameterized geometric performance mapping relation of the filling function element to obtain a matched function element; and filling the corresponding stress areas with the matching function elements through a rapid reconstruction algorithm, and fusing the adjacent stress areas to obtain a reconstruction model of the complex functional structural member. The invention provides a quick modeling method and device for a complex functional structural member, and aims to solve the problems that the traditional method is difficult to solve the problems of low design efficiency and poor environmental stress adaptability and is difficult to meet the requirements of large-batch, multi-variety and quick additive manufacturing change production of the structural member.

The invention provides an automatic modeling method and device, electronic equipment and a storage medium, and relates to the technical field of automatic modeling, and the method comprises the steps: obtaining an input parameter; the input parameters comprise a modeling surface, a front section lap joint surface, a rear section lap joint surface and a position control point; based on the input parameters, generating a basic large surface of the part through parametric modeling; presetting a plurality of features on the basic large surface; determining the number of target features based on the length of the basic large surface and the size parameters of the features; on the basis of the number of the target features, the activity states of the multiple features are controlled through a preset rule so as to dynamically activate or cancel activation of the features; and updating the model to obtain a part structure meeting design requirements. In the mode, the structure of the whole part can be controlled according to the input parameters, and it is ensured that the part can meet the performance requirement at the same time.

The invention discloses a rating method, a rating system, electronic equipment and a storage medium. The rating method comprises the following steps: presetting priority levels of various performance requirements of a to-be-rated object according to requirements; formulating an executable rating standard based on each performance requirement with the preset priority level; and based on the actual performance of the to-be-rated object, performing performance rating on the to-be-rated object according to the executable rating standard, and outputting a formal rating report. Due to the adoption of the rating method, the classification rule of the rating object such as a crystal bar in multiple dimensions can be easily realized, so that different rating standards are easy to maintain; and specific classification is realized by setting the priority level, so that the requirement of product customization can be met, and the customer satisfaction is improved.

The invention discloses a high-entropy alloy design method based on machine learning and a nuclear high-entropy alloy, and belongs to the technical field of metal material design. The design method comprises the following steps: collecting historical high-entropy alloy data, and establishing an initial data set of component-process-phase structure-mechanical property; constructing an initial feature variable composed of the element features and the empirical features, and screening to obtain a key feature variable; respectively constructing a classification model for predicting a phase structure and a regression model for predicting mechanical properties; based on the key characteristic variables, a classification model and a regression model, alloy components are screened according to a target phase structure and target mechanical properties, and design components are obtained; the design components are verified through experiments. According to the design method, on the premise that the phase structure is met, collaborative optimization of strength and toughness is achieved, and therefore the high-entropy alloy meeting various performance requirements can be designed, especially the high-entropy alloy which has an FCC phase structure and is high in toughness and resistant to high temperature and is applied to an advanced nuclear energy system can be designed.

This invention relates to the field of server technology, specifically providing a method, system, terminal, and storage medium for dynamic monitoring of hard disk performance. The method includes: setting a matching hard disk performance data collection frequency for a business scenario based on the performance requirements of that scenario; monitoring the actual business scenario of the server and obtaining a target collection frequency matching the actual business scenario; periodically collecting hard disk performance data by calling a hard disk performance data collection script according to the target collection frequency; and using pre-stored standard performance data to determine anomalies in the hard disk performance data and identifying the data as abnormal. This invention can flexibly update the hard disk performance monitoring frequency according to the server's business scenario, thereby avoiding resource waste or untimely hard disk performance monitoring.

The operation mode setting device includes a storage unit, a monitoring unit, and an HW setting control unit. The storage unit stores a plurality of operation modes of the hardware and power characteristic data including power efficiency PE and a performance index value PIV. The monitoring unit acquires metrics data including a current load factor LF of the hardware in operation. The HW setting control unit consults the power characteristic data to select an operation mode in descending order of the power efficiency PE at the current load factor LF of the metrics data. If the performance index value PIV at the current load factor in the selected operation mode satisfies a predetermined performance requirement, the HW setting control unit causes the hardware to operate in the selected operation mode.

The invention provides a resource optimization method and device of a storage system, electronic equipment and a storage medium, and relates to the technical field of distributed storage, historical performance data of the distributed storage system is collected to form a historical performance reference by constructing a quantitative relation model between a system resource use condition and a service performance index, and the historical performance reference is used for optimizing the service performance index of the distributed storage system. The resource occupation proportion of the data reconstruction task is dynamically adjusted based on the benchmark and the real-time service performance index, and then resource allocation control is performed according to the adjusted proportion, so that the problem that in the prior art, due to the lack of dynamic association between service performance and resource occupation and the lack of historical performance reference support, resource allocation control cannot be performed easily can be solved. The problem that the service performance cannot be guaranteed or the resource utilization rate is low due to the fact that the reconfiguration resources are distributed according to a fixed proportion or a simple threshold value is solved, and the technical effects that the resources are efficiently distributed to the data reconfiguration task on the premise of ensuring that the service request meets the preset performance requirement, and service performance guarantee and resource utilization rate optimization are unified are achieved.

A codec scheduling method and device under multiple instances, a storage medium and a terminal. The codec scheduling method under multiple instances comprises: when multiple instances are concurrently running, obtaining real-time performance requirement parameters of codecs corresponding to the multiple instances respectively, the real-time performance requirement parameters being used to determine whether the codecs are real-time codecs; and scheduling the work of each codec according to the actual performance satisfaction of the real-time codecs and the real-time performance requirement parameters of each codec, wherein the scheduling priority of the real-time codecs is higher than that of non-real-time codecs. The above scheme can prioritize the work of real-time codecs to schedule the work of non-real-time codecs under the condition of meeting the performance requirements of real-time codecs, thereby fully utilizing system performance and improving user experience.

This application relates to a method, apparatus, equipment, and medium for determining the production process of a cathode material system. The method for determining the production process of a cathode material system includes: determining the parameter information of the cathode material system based on its components; the parameter information includes pre-constructed process information corresponding to the production process of the cathode material system or performance requirement information of the cathode material system; inputting the parameter information into a preset neural network model; and determining the target production process of the cathode material system based on the output of the preset neural network model. The method for determining the production process of a cathode material system provided in this application can rapidly determine the production process of a novel "material-coating" system.

The application relates to the field of electronic equipment, aims to solve the problem that the known electronic equipment cover design freedom is low, and processing efficiency, cost and structural performance are not easy to be considered, and provides a cover, electronic equipment and a manufacturing method thereof. The cover comprises a cover plate and an outer attached layer, and the outer attached layer is attached to one side of the cover plate. The cover plate comprises a main body part and an edge part. The outer peripheral edge of the main body part has a bonding surface. The edge part is connected to the outer peripheral edge of the main body part and is integrated with the main body part at the bonding surface. The application has the beneficial effect that the cover has high design freedom, different parts can be designed according to performance requirements, and efficiency, cost and structural performance are considered.

The invention discloses a wind generating set casting material modular design method which comprises the following steps: constructing a universal casting model, performing parametric design on the universal casting model based on common structures of castings of different models, and reserving structural allowance for material replacement; establishing a casting material performance database, wherein the database comprises mechanical properties, processing properties and environmental adaptability parameters of various materials; according to the performance requirements of the target unit, screening adaptive materials from the database; based on the selected materials, generating a structure adjustment scheme for the general casting model; and simulation and experimental verification are conducted on the adjusted casting model, and it is ensured that the casting model meeting the design requirement is obtained. The technical problems of high mold cost, long research and development period, limited material selection, low maintenance efficiency and the like caused by one machine and one mold in the traditional production of castings of the wind generating set are solved. The comprehensive effects that the mold cost and the storage pressure are remarkably reduced, and the research and development and maintenance period is greatly shortened are achieved.

This invention relates to the field of microphone design technology, specifically to an AI-based microphone design optimization method and system. The method includes: establishing a design space based on the microphone's structural parameters, material parameters, operating parameters, and performance requirements; determining design variables, optimization objectives, and constraints; generating an initial sample set and performing high-fidelity physical field simulation to obtain target values; performing various preprocessing steps on the target values, constructing an AI surrogate model, and selecting the current surrogate model; embedding the current surrogate model into a multi-objective evolutionary optimization process to obtain a candidate non-dominated solution set; further filtering candidate designs based on prediction uncertainty and performing high-fidelity physical field simulation to update the surrogate model online; and after meeting the stopping condition, verifying the non-dominated solutions and outputting a Pareto solution set that satisfies the constraints. This invention can improve the efficiency and reliability of multi-objective microphone optimization.

The invention belongs to the technical field of intelligent manufacturing, and relates to a cyclic regeneration-oriented design excess material intelligent matching application method and system, and the method comprises the following steps: generating an excess material manufacturing gene file; generating a structured performance demand list containing engineering constraints; screening preliminary candidate excess materials through a geometric inclusion algorithm; a gain weighting score is distributed for the recognized forward gain condition, and a gain strengthening excess material list is generated; removing excess materials with negative risk conditions to form a final recommended excess material set; generating a virtual assembly scheme of process path optimization including subsequent processing procedures omitted due to the utilization of the hidden process characteristics and the estimated cost of the subsequent processing procedures; and automatically adjusting the calculation weight of the gain weighted score and the judgment threshold of the negative risk condition. According to the method, the problem that early warning cannot be performed and heat affected zones which can affect welding quality and fatigue performance due to thermal cutting cannot be avoided is solved.

The invention provides a reverse design method and device for a material structure, equipment and a storage medium, and relates to the field of material design. Constructing a three-dimensional feature vector matrix of the sample material; the three-dimensional feature vectors in the matrix are used for representing the three-dimensional microstructure features of the sample material. And extracting macroscopic performance parameters of the sample material, and taking the macroscopic performance parameters as model condition information. And forming a training data pair by using the three-dimensional feature vector and the model condition information. And carrying out iterative training on the conditional diffusion model by utilizing the training data pair until a training ending condition is reached, thereby obtaining a target conditional diffusion model. And inputting the target macroscopic performance parameters into the target condition diffusion model to obtain a target three-dimensional microstructure meeting target macroscopic performance parameter conditions. The three-dimensional microstructure of the material can be reversely designed according to the required performance, the material development efficiency is improved, and the development cost is reduced; and the designed structure can more accurately meet the required performance requirements, and is more suitable for the real process.

The invention provides a method and a system for software to automatically monitor performance bottleneck, comprising the following steps: (1) writing a test script according to interface performance requirements, and firstly adding a thread group: setting thread quantity, thread variation M and other attributes; (2) adding a sampler, and filling interface request parameters; (3) adding a double-result monitor, recording the number N of monitoring times, setting an initial value as 0, presetting a monitoring result reference value, and judging whether a monitoring result executed by the thread meets the reference value or not; (4) executing the thread group, monitoring the execution result of the thread group by the monitor, and adding 1 to the monitoring frequency; and judging whether the monitoring result meets a reference value or not, and generating a judgment result to determine whether the thread group continues to execute or not and determine the number of threads executed by the thread group next time. And (5) after the thread stops, introducing a monitoring result into the report template to form a test report. According to the method, the efficiency of testing the performance bottleneck of the interface can be greatly improved, the accuracy of a test result is improved, and the compiling of a test report is quickly completed.

This application provides a performance analysis method, apparatus, electronic device, chip, and medium, relating to the field of chip design and development. The method includes: generating at least one set of test configuration schemes based on the performance requirements of the module under test and a preset performance scenario; performing performance simulation of the module under test under the preset performance scenario in parallel based on the at least one set of test configuration schemes to trigger at least one target performance event and acquire at least one performance data point through a preset performance monitoring unit; quantifying and analyzing the at least one performance data point to obtain performance analysis results under the preset performance scenario; and updating at least one set of test configuration schemes based on the performance bottleneck when the performance analysis results show a performance bottleneck, thereby determining the optimal configuration parameters of the optimal test configuration scheme based on the updated at least one set of test configuration schemes. This improves performance tuning efficiency, reduces development cycle and labor costs, and ensures that the module under test achieves optimal resource allocation while meeting performance targets.

A seal with an optimized profile that provides enhanced sealing performance for high pressure operating conditions while ensuring compliance with applicable standards and performance requirements is disclosed. The seal comprises an annular body having a first side, an opposite second side, an inner surface, and an outer surface. The inner surface includes a radially inwardly extending projection. At least a portion of the projection has a substantially trapezoidal cross-sectional shape.

The invention discloses a physical system optimization method and device, a storage medium and electronic equipment, and the method comprises the steps: obtaining a design parameter space of a to-be-optimized physical system and a plurality of mutually conflicting performance indexes; mapping the design parameter space into a Riemannian manifold; the inherent symmetry of the physical system in the ideal state is identified, and the trade-off relation among the multiple performance indexes is represented as a symmetry breaking mode according to the inherent symmetry; executing geometric optimization on a Riemannian manifold on the basis of a symmetry breaking mode so as to search a design parameter set meeting target performance requirements while keeping physical constraints; and updating the physical system according to the design parameter set. The optimization efficiency of the physical system can be improved.

The application belongs to the technical field of industrial process control, and provides a control method and system of a multi-single-arm manipulator system with specified performance constraints. When a consistency error is obtained, coordinate transformation is performed according to a consistency error model of the single-arm manipulator and a constructed global performance function, and the global performance function is added, so that the performance requirements are met, the problem of poor control performance caused by the influence of the external environment due to the complexity of the working environment is avoided, and the control effect is guaranteed. On this basis, a cost function and an optimal cost function are designed based on the consistency error and the optimization target, and an approximate optimal controller is designed based on the cost function, so that the purpose of reducing the control cost is achieved. In the control process, the global performance function and the reinforcement learning algorithm are added, so that the specified performance constraints are met and the control cost is reduced. On the basis of meeting the stability of the multi-single-arm manipulator system and meeting the specified control performance, the purpose of reducing the control cost is achieved.

A seal with an optimized profile that provides enhanced sealing performance for high pressure operating conditions while ensuring compliance with applicable standards and performance requirements is disclosed. The seal comprises an annular body having a first side, an opposite second side, an inner surface, and an outer surface. The inner surface includes a radially inwardly extending projection. At least a portion of the projection has a substantially trapezoidal cross-sectional shape.

This application is directed to resource management in a storage system that includes a non-volatile memory and a collection of resources having one or more processing cores. The storage system allocates a first subset of resources to process queues of I / O access operations requested by a host device. The first subset of resources includes a storage controller corresponding to a subset of processing cores. The storage system obtains a first request for adjusting resource allocation of the storage device, and the first request includes a target performance requirement for processing the queues of I / O access operations. The storage system determines that the target performance requirement can be satisfied by allocation of at least a target subset of resources. In response to the first request and based on the target subset of resources, a second subset of resources is allocated for processing the one or more queues of I / O access operations.