25 results about "Data design" patented technology

This invention provides a method, apparatus, device, and storage medium for generating teaching data. The method includes: acquiring user-inputted unit instructional design requirements; calling a pre-set domain-specific model; acquiring teaching intentions based on the unit instructional design requirements; retrieving knowledge information related to the teaching intentions from a domain knowledge base; calling the domain-specific model; and generating unit instructional design content based on the unit instructional design requirements and the knowledge information related to the teaching intentions. Furthermore, it can generate lesson-level teaching activity content based on the unit instructional design content, and can generate lesson-level teaching activity courseware based on the lesson-level teaching activity content. The teaching data generation method provided by this invention can intelligently generate teaching data, which can be directly used or modified by the user, and can also serve as a reference for the user's instructional data design, thereby greatly reducing the user's burden.

The invention relates to an obstacle recognition method based on multi-modal data depth fusion and adaptive optimization. The method comprises the following steps: S1, collecting image data through a camera and preprocessing the image data; for radar data, abnormal values are removed through a filtering algorithm, and time sequence prediction is carried out; s2, constructing a novel multi-modal fusion neural network, and enabling the novel multi-modal fusion neural network to automatically learn the importance of different modal features by adopting a mode of combining feature splicing and an attention mechanism so as to realize more efficient data fusion; and S3, introducing a reinforcement learning algorithm, and adjusting parameters and an identification strategy of the neural network in real time according to the driving state and the environment change of the vehicle. Through the above design, the method can improve the recognition accuracy of an obstacle in a complex environment in severe weather and a complex urban environment through the adaptive image enhancement and denoising technology and the optimization processing of radar data.

An object of the system according to the embodiment is to digitize and design a picture of a child and to exhibit the picture on an online platform.SOLUTION: A system includes a digitalization part, a designing part, and an exhibition part. The digitizing section captures a picture of a child as digital data. The designing unit designs the digital data captured by the digitizing unit. The exhibiting part exhibits the data designed by the designing part on an online platform.SELECTED DRAWING: Figure 1

The application discloses a kind of dynamic spatio-temporal semantic joint embedding coal mine underground miner track identification method, belong to coal mine underground data analysis technical field.Utilize coal mine underground miner track data design miner track identification model, this model realizes which one miner track data of identification input belongs;Including: time feature extraction module, spatial feature extraction module, semantic feature extraction module and joint representation learning module.Advantages: track feature is extracted from time, space and semantic three dimensions and joint learning feature representation;Dynamic graph embedding method is used to extract the time dimension characteristics of track, obtain the long-term time dependence of variable-length track sequence, and apply multi-head self-attention mechanism to improve the processing efficiency of long sequence;Graph neural network is used to extract the structural topological information of track, and the semantic features of external factors are fused to improve the accuracy of miner track identification, thereby providing technical support for track data mining and intelligent scheduling platform in coal mine underground.

Embodiments of the present application provide a software test data design method and device, electronic equipment and storage medium, and belong to the technical field of software testing. The method comprises: establishing a test file, inputting test data required to be set for a test case into the test file; configuring a calling label for specific test data; reading the test data required to be set for the test case to obtain a case object; performing attribute judgment on a component structure of the case object to obtain a judgment result; determining a processing result of the case object according to the judgment result and the calling label, and outputting the processing result. Embodiments of the present application can reduce maintenance test time, improve compatibility of a test program, and reduce operation difficulty of a tester by sequentially inputting, marking, reading, judging and processing integration of test data.

A unified system with a machine learning feature data pipeline that can be shared among various product areas or teams of an electronic platform is described. A set of features can be fetched from multiple feature sources. The set of features can be combined with browsing event data to generate combined data. The combined data can be sampled to generate sampled data. The sampled data can be presented in a format having a structure that is agnostic to a feature source from which the set of features was fetched. The sampled data can be joined with old features by a backfilling process to generate training data designed to train one or more machine learning models. Related methods, apparatuses, articles of manufacture, and computer program products are also described.

The invention provides an automatic design method, system and device for a super-capacitor energy storage system and a medium, and belongs to the technical field of capacitor energy storage. The method comprises the following steps: carrying out standardized definition, feasibility screening, priority ranking and combination verification on input data designed by the super-capacitor energy storage system, and outputting a cabin and cell combination list; step-by-step topology decomposition is carried out according to the sequence of a system level, a cluster level, a Pack level and an electric core level, and a structured topology scheme document is output; a closed-loop feedback simulation model of an electric domain and a heat domain is established, electric performance, heat safety and service life verification is carried out on the topology schemes, and a qualified topology scheme list is obtained through screening; under the cabin space constraint, cluster block translation and rotation operation is carried out on the screened topology scheme, and an optimized cluster level arrangement scheme is output; performing multi-target quantitative scoring and same-level arbitration on the corresponding topology scheme, and screening to obtain an optimal topology scheme; and generating a flow chart, a layout schematic diagram and a parameter report corresponding to the optimal topology scheme.

The invention discloses a digital jaw position recording and occlusal relationship collecting device and method, and relates to the technical field of oral medicine. Comprising the following steps: acquiring upper and lower jaw tissue surface data of a to-be-detected person, generating an oral cavity model of the to-be-detected person, performing three-dimensional data design based on the oral cavity model to obtain a tray model, importing the tray model into 3D printing software to obtain a personalized occlusion tray, wearing the tray by the to-be-detected person, and obtaining a static jaw position relationship by utilizing a three-dimensional scanner. The method comprises the following steps: acquiring opening and closing, lateral and front-back movement track data by using a lower jaw movement analysis system to form acquisition data, preprocessing the acquisition data, and inputting the preprocessed data into digital restoration / orthodontic design software to carry out subsequent digital design and analysis of a restoration / orthodontic appliance. According to the invention, high-precision jaw position recording and occlusal relationship acquisition are realized, data can be seamlessly jointed with a digital design process, the prosthesis adaptation rate and the treatment efficiency are improved, and the method has remarkable clinical application value and popularization prospect.

The invention relates to an industrial internet component maturity evaluation method, device, equipment and medium, and the method comprises the steps: obtaining the evaluation result of each index item under a preset evaluation index of a target industrial internet component, the preset evaluation index comprises at least one of a business specification, a technical design scheme, a function design scheme and a data design scheme; each preset evaluation index comprises at least one index item; calculating a quantitative evaluation result of the target industrial internet component according to the evaluation result of each index item of the preset evaluation index and the corresponding weight; the maturity of the target industrial internet component is judged according to the quantitative evaluation result of the target industrial internet component, the maturity of the industrial internet component can be identified and evaluated, more targeted basis and guidance are provided for construction of the industrial internet component, and the design and development quality of the industrial internet component is effectively improved.

A control device for a robot according to the present invention controls a drive motor for one specific drive shaft of the robot such that the torque output by a torque detector matches a torque setting value when rotation of a component member is inhibited by a rotation inhibiting unit. The control device acquires a rotational position output by a rotational position detector of the specific drive shaft once the torque matches the torque setting value. The control device generates mastering data in response to output by the rotational position detector on the basis of the rotational position of the drive motor output by the rotational position detector and predetermined mastering data design values.

The invention relates to a modular well cementation data designing and monitoring system based on a cloud platform. Comprising a well cementation design unit, a well cementation design optimization unit and a signal processing unit, which are sequentially connected according to a signal transmission direction, wherein the well cementation design unit is used for carrying out construction parameter design based on a full-process construction database; the well cementation design optimization unit is used for carrying out construction process and construction parameter optimization design based on a machine learning model; the well cementation field monitoring unit is used for comparing optimization design data of the cloud platform with the field real-time monitoring data, and querying and displaying comparison data and graphs; wherein the well cementation field monitoring unit acquires field real-time monitoring data on a local platform, compares optimization design data of a cloud platform with the field real-time monitoring data, and queries and displays comparison data and graphs on the cloud platform; the well cementation design unit and the well cementation design optimization unit are both arranged on a cloud platform. The scientificity of well cementation construction design is improved, and the whole well cementation process can be monitored and managed.

One aspect of the disclosure relates to a fault modeling method comprising determining one or more signals corresponding to one or more onboard interface data associated with a fault; constructing one or more corresponding bottom fault logic units based on the one or more signals; based on the bottom layer fault logic unit and one or more logic operators, constructing fault combinational logic comprising zero layer, one layer or multiple layers of nesting; generating a fault combinatorial logic expression based on the constructed fault combinatorial logic; and generating at least one of a corresponding extensible markup language file and a binary file based on the generated fault combinatorial logic expression.

The application discloses a kind of based on station type identification auxiliary interlocking data design system and method, belong to the field of track traffic signal interlocking computer simulation, including input data processing step, station topological structure diagram generation step, general station type data editing storage step, special station type data editing storage step, and matching query output step, in project design liaison stage can efficiently identify that interlocking product does not support special station type, facilitate project data design personnel to carry out influence analysis, the station type that there is security risk and influence operation efficiency is discovered early and feedback optimization station type design, realize from source to eliminate hidden danger and influence, avoid in later interlocking data production stage discovery only through special design means to eliminate the influence brought by this special station type and additional increase data design auditing workload.

The application discloses a design method of a double-flap check valve for an airplane. Through a series, flow, and theoretical data design method, based on the working condition of the double-flap check valve and the index to be achieved, the double-flap check valve is subjected to series modification and optimization of structure, dynamic balance, material strength, and flow channel structure, so that the weight, structure, and strength of the double-flap check valve can be optimized, and the strength, sealing performance, and response speed of the double-flap check valve are ensured on the premise of simplifying the structure of the double-flap check valve and reducing the weight of the double-flap check valve.

The embodiment of the invention discloses a building structure performance prediction method and device, electronic equipment and a storage medium, relates to the technical field of building structure performance prediction, and can effectively improve the accuracy and efficiency of building structure performance prediction. The method comprises the steps of obtaining potential features of a first building structure according to structure data of the first building structure, random noise data and a preset potential feature extraction model; the random noise data is the same as the structural data parameter of the first building structure; according to a preset graph structure data design model and the structure data of the to-be-tested building structure, graph features of the to-be-tested building structure are obtained, wherein the structure data of the to-be-tested building structure are related to features and physical rules of the structure data of the first building structure; fusing the potential features and graph features of the to-be-detected building structure to obtain comprehensive features; and inputting the result into a preset performance prediction model to obtain the performance of the to-be-tested building structure. The method is suitable for building structure performance prediction.

The invention is suitable for the technical field of data statistics management, and provides a custom table management method and system based on a dynamic webpage technology, and the method comprises the following steps: designing three tables, namely a'diytable ', a'diycolumn' and a'diyvalue ', in a server-side database management system by adopting a B / S (Browser / Server) mode; independent table creation and maintenance, data management and cross-table retrieval of a user are realized by developing a management webpage; according to the data table management method in the B / S mode, a user can achieve the function similar to an EXCEL spreadsheet without installing software or plug-ins, meanwhile, the use threshold is lowered, a large amount of installation and deployment work is reduced, data information is flattened and associated in a data design mode, data information cross-table retrieval is achieved, and the user experience is improved. And efficient information utilization is improved.

The invention discloses a curved surface fabricated building based on finite element analysis and a construction method thereof, and relates to the technical field of fabricated constructions.The curved surface fabricated building comprises a hemispherical body, and the hemispherical surface of the hemispherical body faces the ground and stands on the ground; the hemispherical main body is formed by splicing five fan-shaped modules which are equally divided along a longitude line and have central angles of 72 degrees and a central traffic core positioned in the center; the fan-shaped modules are formed by an aluminum alloy reticulated shell framework and a multi-layer enclosure layer integrated structure; the central traffic core is connected with the plurality of fan-shaped modules; modeling analysis and optimization are carried out on the hemispherical main body through a finite element analysis module of a datamation design platform, so that the stress and deflection of the structure of the hemispherical main body are at least matched with 1.3 times of constant load, 1.6 times of movable load and 0.6 times of wind load combination to meet the standard requirements; bionic curved surface design, modular division and mechanical optimization of a curved surface assembly type building are achieved, and the curved surface assembly type building has the advantages of being high in structural strength, assembly efficiency and sealing performance and flexible in space modeling.

The invention discloses a visual language model system under a VLM security and protection monitoring scene, and relates to the technical field of visual language models, and the system comprises a multi-modal fusion module which is used for receiving and processing an image frame, a depth map and scene information, an abnormal event recognition module which is used for analyzing a monitoring image according to a visual language model and recognizing a high-order semantic event, and a VLM security and protection monitoring module. The structured event output module is used for generating standardized event data including event types, timestamps, position coordinates and confidence fields, the visual language model optimization method oriented to the fixed scene is provided for the application bottleneck of a current visual language model in a security and protection monitoring scene, multi-source perceptual information is fused, and the security and protection monitoring efficiency is improved. According to the method and the system, the high-accuracy and low-delay security scene intelligent understanding and warning capability is realized by means of targeted training means such as scene graph description, depth map and time sequence features and the like, such as chained thinking CoT data design, model distillation and cutting and the like.

This application discloses a machining data processing system and a machining data processing method, which includes a data design system, a monitoring system, and an inspection system, wherein the data design system is configured to determine a target machine tool and initial process parameters corresponding to a test item according to the quality requirements of the test item, the monitoring system is configured to receive machining process data and machining target data, and generate process adjustment parameters based on the machining process data and the machining target data, and the inspection system is configured to receive post-machining product quality detection results, and based on the product quality detection results, determine whether to transmit the process adjustment parameters to the data design system to update the process parameters in the machining process parameter library in the data design system, thereby facilitating the completion of process parameters in the data design system, making the machining process smoother through later process parameter recall, and ensuring that the post-machining product quality is more in line with the quality requirements.

The invention discloses a message data design method supporting mutual conversion with a word document, comprising the following steps: 1) collecting message information of message data, the message information comprising a message name, a message subject and a data structure name; 2) collecting message field data structure information of the message data; 3) if the message is a variable-length message and has a repeated data structure, acquiring the number of repetitions of the repeated data structure; according to the message data design method supporting mutual conversion between the message data and the word document, import and export of the interface protocol word document are supported, bidirectional editing and unified management are supported, and using habits of different designers can be matched.

The invention relates to a device and a method for distributing auxiliary data and providing data protection for the auxiliary data. Some memory cell rows may be configured to store auxiliary data that provides data protection for user data stored in other memory cell rows. The data protection provided by the auxiliary data may include, but is not limited to, error correction and / or detection schemes. To further enhance the protection of data stored in the rows of memory cells, available space in these rows of memory cells may be used to store preliminary auxiliary data designed to provide data protection for the auxiliary data itself.

The present invention is a semiconductor design system that acquires semiconductor design data designed by a customer, and, on the basis of the acquired design data, obtains semiconductor design data for manufacturing a semiconductor. The semiconductor design system comprises: a manufacturing condition optimization unit that acquires design data designed by a customer and performs manufacturing condition optimization thereon to obtains design data; and a design environment optimization processing unit that acquires the design data subjected to the manufacturing condition optimization by the manufacturing condition optimization unit, performs design environment optimization thereon to obtain change content data, and transmits the obtained change content data to the customer, wherein design data that has been changed on the basis of the change content data is acquired from the customer.

The invention provides a data demand intelligent conversion design method and system based on a large model and a knowledge graph, and the method comprises the steps: constructing a hierarchical knowledge storage system, and dynamically distributing a data model to a gold layer, a silver layer and a bronze layer for storage according to a comprehensive score; generating a data demand sorting list; performing knowledge recall based on a storage scheduling optimization algorithm; performing four-layer semantic quality inspection on the recall result; standardized design is generated, model knowledge passing quality inspection is packaged into constraint rules, and a large model is called through hierarchical Prompt engineering to generate a data design document. According to the method, the aperture matching accuracy is greatly improved, the constraint conflict rate is remarkably reduced, and high quality and consistency of output are ensured through a four-layer semantic matching quality inspection mechanism. The scheme effectively solves the problems of easy missing of key constraint conditions, non-uniform design standards, high error rate and the like in manual processing.