73 results about "Data design" patented technology

The invention relates to the technical field of forestry intelligent management, in particular to a forestry plant regeneration cultivation intelligent analysis method and system. The method comprises the following steps: constructing a forestry digital twinborn model; according to the forestry digital twinborn model, carrying out plant individual matrix cultivation time sequence state analysis, and generating plant individual matrix cultivation time sequence state data; performing plant cultivation state comprehensive evaluation processing on the plant cultivation time sequence state characteristic data to generate plant cultivation state evaluation data; performing plant cultivation influence factor analysis based on the plant cultivation time sequence state characteristic data to generate plant cultivation influence factor data; performing plant cultivation state influence factor gain analysis on the plant cultivation state evaluation data and the plant cultivation influence factor data to generate plant cultivation state influence factor gain data; and designing a plant regeneration cultivation intelligent decision based on the plant cultivation state influence factor gain data. According to the invention, more intelligent and efficient forestry plant regeneration cultivation intelligent management is realized.

The invention provides a dynamic risk management and control system and risk assessment early warning method for a process industry, and the system comprises a micro-service data design module, an engine configuration module, an AP I interaction module, a data configuration module, a task generation module, and a simulation module. Simulation, early warning and strategy generation of the whole production process of the process industry are realized by adopting a micro-service framework and a container dynamic arrangement technology, key scenes of the whole production process of the process industry are covered, specific scene application verification can be realized based on existing industrial control, safety, environmental protection, equipment management and the like, and data of various links and the like in the production process are acquired, so that the production efficiency is improved. The platform function and the use effect thereof are comprehensively evaluated in a specific scene, abnormal conditions are quickly identified and positioned, improvement measures are formulated and implemented, self-learning and self-adaptive capabilities are realized, early warning and management and control strategies can be flexibly adjusted, and the method has flexibility.

The invention provides a data-driven fast reflector composite adaptive tracking control method. The data-driven fast reflector composite adaptive tracking control method comprises the following steps: S1, establishing an autoregression model of a biaxial fast reflector with external input based on multiple groups of primary functions; s2, designing an autoregression model composite parameter estimator according to the input and output data; s3, designing a nonlinear and coupling compensation controller based on an autoregression model composite parameter estimator; and S4, constructing a linear part non-minimum implementation form based on the compensation controller, and designing a model prediction controller. The method mainly aims at the difficulty caused by unknown nonlinear characteristics and double-axis coupling of the fast reflector, and can ensure that the double-axis tracking precision of the fast reflector is recovered to a model prediction control upper limit which is not influenced by coupling and nonlinearity.

A data scheduling method and computing equipment, the method is applied to a main processing unit, the main processing unit is in communication connection with a co-processing unit, the co-processing unit comprises a plurality of processing cores, and the method comprises: aligning target data of a target data volume according to a preset alignment boundary; determining a target level according to the aligned target data volume; determining a data segmentation parameter of the target data according to the target data volume and the target level; and the data segmentation parameters are sent to the co-processing unit, so that the co-processing unit schedules the processing core to execute calculation according to the data segmentation parameters. Therefore, the targeted data segmentation scheme is designed for the target data with different target data volumes to determine the data segmentation parameters, so that reasonable scheduling and distribution of a plurality of processing cores can be realized, and the rate of executing target binocular operator calculation by the system is improved.

The present invention relates to the technical field of power management data analysis, and in particular to a method and system for unified intelligent power management. The method comprises the following steps: integrating and collecting heterogeneous power data based on a power management system to generate integrated power data; performing multi-level power perception feature analysis based on the integrated power data to generate multi-level power perception feature data; performing local multi-element power perception driven associated feature analysis based on local multi-level power perception feature data to generate local power perception driven associated feature data; performing local dynamic power scheduling demand intelligent analysis based on local power perception driven associated feature data to generate local dynamic power scheduling demand data; designing global intelligent power management decisions based on local dynamic power scheduling demand data; and executing intelligent power unified management operations based on global intelligent power management decisions. The present invention analyzes the characteristics of heterogeneous power supplies and the characteristics of each power usage scenario to achieve intelligent unified power management.

The application provides a one-time forming method and device for a large-thickness high-strength steel double-curved transition ring plate in the field of ships. The one-time forming device for the large-thickness high-strength steel double-curved transition ring plate comprises an upper die and a lower die; the upper die is arranged on an oil press, and the lower die is arranged on a working platform; during working, the upper die is driven to move up and down by the oil press, and a part placed on the lower die is pressed and expanded to form. The rebound data in two curvature directions are effectively arranged, so that the rebound data design of the die can effectively refer to the plate theory and the experience rebound database, and the processing rebound amount is effectively offset; meanwhile, the die arrangement that the edge of the lower die is slightly larger than the edge of the upper die is combined with the method that the middle part is pressed first and then the two sides, so that the double-curved transition ring part is not prone to torsional deviation along the circumferential direction; the linear vertical plate welding combined die set form reduces the manufacturing period and cost of the die set. The application is suitable for being applied as a one-time forming device and method for a large-thickness high-strength steel double-curved transition ring plate.

The invention relates to a sample amplification method for gross errors in multi-beam sounding data, which comprises the following steps of: processing original multi-beam sounding data to obtain first data which is kept consistent in numerical value; amplifying four types of multi-beam sounding gross errors for the first data; and setting a threshold value according to a hydrographic measurement standard, comparing the first data after amplification of the four types of multi-beam sounding gross errors, and introducing points with depth offset greater than the threshold value in the first data into a deep learning model to complete sample amplification of gross errors. The sample amplification method for the gross error in the multi-beam sounding data can solve the problems that in the prior art, a gross error detection method depends on manual intervention or parameter adjustment, repeatability is poor, complex environment adaptability is insufficient and the like. The problems that an existing sample generation method is difficult to efficiently simulate the diversity of gross errors in multi-beam sounding data, so that training data of a deep learning model is insufficient, and the accuracy of underwater pile surveying and mapping is affected are solved.

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 belongs to the technical field of structural strength, and particularly provides a front-end cooling module installation structural strength simulation analysis method, device and equipment and a medium. The method comprises the steps that vehicle body structural data and front-end cooling module parameters are obtained; carrying out finite element modeling of a vehicle body structure and parametric modeling of a front-end module on the basis of the acquired data and parameters; the assembly connection of the vehicle body structure and the front-end cooling module is realized; setting boundary conditions, and analyzing the mounting structure strength of the front-end cooling module based on the boundary conditions; and judging whether the mounting structure strength of the front-end cooling module meets the requirement based on the analysis result and the material yield strength, and outputting a judgment result. By simulating the nonlinear characteristics of the front-end cooling module and the vehicle body mounting rubber mat, the actual stress condition of the vehicle body structure can be simulated, and by analyzing the strength of the front-end cooling module mounting structure in the engineering data design stage, the structural strength risk can be judged in advance and optimized and avoided.

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 invention relates to the technical field of automobile seat design, in particular to an automobile front-row seat man-machine arrangement method, front-row seat modeling is checked after CAS is completed, and the method comprises the following steps that 1, input conditions needed by checking are determined; 2, checking the Y-direction cross section arrangement of the front-row seats; 3, checking the X-direction cross section arrangement of the front-row seat cushion; 4, checking Z-direction cross section arrangement of the front-row seat backrest; and 5, adjusting the model CAS of the front row seat and the three-dimensional data of the seat according to the checking results of the steps 2-4, and after adjustment, repeating the steps 2-4 for checking until the checking results meet the requirements. According to the method, in the early stage of design and development, namely in the modeling stage and the three-dimensional data design stage, ergonomics of front-row seats are arranged and considered, man-machine arrangement and specific requirements are carried out on all positions of a specific single seat, the man-machine design problem is avoided, and the comfort level of a driver is improved.

The present invention discloses a method for determining the transmission load for reliability analysis, which relates to the technical field of transmissions. This method designs driving conditions and shifting rules, inputs the driving conditions, shifting rules, and vehicle data into a visual simulation tool for simulation calculation, and screens the data from the simulation calculation to combine the target gears. Finally, the transmission load distribution of the target gears is obtained through simulation again using the visual simulation tool, including the S1 simulation data design step, the S2 simulation data calculation and screening step, and the S3 simulation calculation of the transmission load step. The present invention establishes a dynamic model to perform simulation motion through the Simulink simulation tool, combines engine parameters to screen out the target gears and combines them, and then obtains the transmission load distribution result of the target gears through simulation again using the Simulink simulation tool. Through this method, the transmission load distribution of different target gear combinations under multi-condition operation can be analyzed.

To generate three-dimensional data for dentures (anterior crowns) which do not depend on the shape of the tooth model and from which the resin is difficult to dislodge.SOLUTION: The computer has: the placement range accepting unit to accept a designation of a range or location to place a bead-like structure on a three-dimensional tooth model corresponding to three-dimensional data of a tooth model; the placement unit to place the bead-like structure on the three-dimensional tooth model at a predetermined interval based on the range or location designated by the placement range acceptance section; and the output unit to output the three-dimensional data of the bead-like structure placed by the placement section and the three-dimensional data of the tooth model, all of which are implemented by a program.SELECTED DRAWING: Figure 6

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.

Disclosed in the present invention are a module communication method and apparatus, and an electronic device and a storage medium. The method comprises: acquiring a call instruction of a first module for an objective function; performing serialization on the call instruction, so as to obtain binary encoded data; performing serial protocol encoding on the binary encoded data, so as to obtain serial encoded data; sending the serial encoded data to a second module; performing serial protocol decoding on the serial encoded data, so as to obtain the binary encoded data; performing deserialization on the binary encoded data, and performing parsing to obtain an execution instruction for executing the objective function; on the basis of the execution instruction, executing an AT instruction corresponding to the objective function; and on the basis of an execution result of the AT instruction, obtaining an execution result returned to the first module by the second module. On the basis of a serialized binary data design and a serial encoding and decoding design, the embodiments of the present invention can improve the efficiency of data communication, increase the communication speed and enhance the communication stability, and thus can be widely applied to the technical field of data processing.

The present invention relates to the technical field of fault diagnosis of power grid equipment, and in particular to an adaptive learning power grid equipment abnormality detection and diagnosis method and system, comprising the following steps: fusing the collected data of different modes, firstly encoding and decoding the data based on the informer network structure, then introducing a score-guided network into the structure, taking the encoded data as input, taking the data and the cluster center distance ratio of normal and abnormal data as labels, training to obtain scores, and then designing a loss function based on the scores, input data and decoded data, to achieve automatic updating and optimization of the network structure, and adapt to the changing equipment status and environmental conditions. The present invention adopts an unsupervised adaptive learning method, utilizes multimodal data, solves the difficult problem in the detection of abnormal working status of power equipment, and provides a new technical solution for power grid equipment status detection and diagnosis.

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.

The present application relates to the technical field of building decoration construction, and disclose a kind of steel structure inclined support ceiling joist overall lifting installation construction method, specific steps are as follows: S1, measurement release, composite existing control point, arrange edge angle traverse net, establish steel structure inclined support ceiling joist construction control net;S2, steel structure ceiling joist structure deepening, use BIM technology to cooperate steel structure ceiling joist design and carry out steel structure ceiling joist structure deepening work;S3, according to computer theoretical data design and make lifting device;S4, the lifting device installation;S5, according to construction drawing, steel structure ceiling joist is assembled on ground;S6, by lifting device, steel structure ceiling joist overall lifting.Not only can effectively guarantee construction safety and construction period, save construction cost, but also can effectively guarantee construction safety;Construction design level first-class, scheme flexible and simple, applicable scene range is wide, and generalizability is high.

1. Name of the Design Product: Display Screen Panel of the Graphical User Interface for Case Information Display on Electronic Devices. 2. Use of the Design Product: The design product is used to run programs. 3. Design Key Points of the Design Product: Lie in the interface content of the graphical user interface. 4. Picture or Photograph that Best Illustrates the Design Key Points: The front view of Design 1. 5. Without Design Key Points, the rear view, left view, right view, top view, and bottom view are omitted. 6. Design 1 is designated as the basic design. 7. Use of the Graphical User Interface: The graphical user interface of the design product is used for users to understand the details of cases occurring in three-dimensional space and the real state of the three-dimensional space. The graphical user interface of the design product is applied to devices with display functions, such as mobile phones, tablets, and monitors. The graphical user interface shown in the front view of Design 1 and the graphical user interface shown in the front view of Design 2 both include two display areas distributed left and right. The display area on the left shows the three-dimensional space, and the display area on the right shows the relevant information of the case occurring in the three-dimensional space. In the display area on the right of the graphical user interface shown in the front view of Design 2, there are multiple pieces of information related to trace evidence arranged in order from top to bottom. Each piece of information includes a text part, an image part, and a control located between the text part and the image part. When the user clicks on the control in a certain piece of information, it switches to the graphical user interface shown in the interface change state diagram of Design 2.

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.

To easily generate three-dimensional data necessary for creating a fabricated object, even when a user does not know the position information of a patient's missing teeth or abutment teeth.SOLUTION: Implemented in a computer are: a determination unit configured to identify specific colored portions corresponding to a fabricated object on a three-dimensional tooth model according to three-dimensional tooth data; a generation unit configured to generate three-dimensional data of the fabricated object on the three-dimensional tooth model based on the specific portions identified by the determination unit; and an output unit configured to output the three-dimensional data of the fabricated object generated by the generation unit.SELECTED DRAWING: Figure 3

The invention relates to the technical field of automobile seat design, in particular to a comfortable arrangement method for automobile rear row seats, the rear row seats comprise outer side seats and middle seats, checking is carried out after seat modeling CAS of the rear row outer side seats and the middle seats is completed, and the seat models of the outer side seats and the middle seats are checked; comprising the following steps: step 1, determining input conditions required for checking, wherein the input conditions comprise a rear-row dummy model, an H point and a seat modeling CAS; 2, checking the Y-direction cross section arrangement of the rear row outer side seats; 3, checking the Y-direction cross section arrangement of the rear-row middle seat; and step 4, adjusting the seat shape CAS and the seat three-dimensional data according to the checking results of the steps 2-3, and repeating the steps 2-3 for checking after adjustment until the checking results meet the requirements. According to the method, in the early stage of design and development, namely in the modeling stage and the three-dimensional data design stage, ergonomic and comfortable arrangement of the rear-row seats is considered, the man-machine design problem is avoided, and the comfort of passengers is improved.

The application provides a machining data processing system and a machining data processing method. The machining data processing system includes: a data design system, a monitoring system and a quality inspection system, the data design system configured to determine a target machine tool and initial process parameters corresponding to a test project according to a quality requirements of the test project; the monitoring system configured to receive machining process data and machining target data, to generate process adjustment parameters based on the machining process data and the machining target data, a quality inspection system configured to receive quality inspection result of the machine product, and determine whether to transmit the process adjustment parameters to the data design system based on the product quality inspection result, to update the process parameters in the machining process parameter library in the data design system.

The present invention proposes a data-based integrated model for low-code application development, and based on this, provides an efficient low-code application development method based on common genetic information. In view of the characteristics of the application program and its components in a tree-ordered organizational structure, the essential properties of the program and its components, including controls, menus, databases, etc., are condensed from top to bottom, and the extracted common information is used to form the DNA genetic information and value attribute value information of each element unit, etc., and the low-code application development integration model is formed by relying on two core data structures such as DNA and VDs, which effectively realizes the seamless integration of each element unit and realizes the integrated integration of data design, form design, and program development.

The invention relates to the technical field of electric vehicle charging, and discloses a development-free implementation method for automatic parameter configuration of a charging pile equipment management platform, which comprises a charging equipment cloud platform rear end webpage and a charging equipment cloud platform front end webpage, and specifically comprises the following steps: step 1, a webpage interface is configured according to rules; step 2, adding parameter item prototype design; step 3, form template data design; step 4, designing business metadata; step 5, creating form template data; and step 6, dynamically rendering parameter configuration form design. According to the method, remote configuration of the equipment parameters is carried out at the webpage end, management parameters can be freely and flexibly added, all current parameters and subsequently added parameters of the charging pile can be realized only by adding required configuration items to the webpage subsequently, and the charging pile can be put into use immediately without secondary development; the workload of code development of research and development personnel can be reduced, a development-free function is realized, and the development efficiency and the equipment deployment speed are greatly improved.

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 present application relates to the technical field of rail measurement data processing and specifically to a method, system, device and medium for generating a precise tamping scheme for a railway track. Firstly, a superelevation curve is generated according to superelevation values ​​corresponding to all mileage values ​​of the actually measured railway track, and the superelevation curve is subjected to low-pass filtering and peak filtering to obtain a precise filtered superelevation curve; then, a curve corresponding to a key wave crest area in the precise filtered superelevation curve is used as a curve to be processed, and straight-slow points, slow-straight points, slow-round points and round-slow points are obtained to form flat curve design data; finally, based on the flat curve design data, an accurate track design curve is designed; and based on the track design curve and the actually measured data, a flat curve actually measured deviation curve and a flat curve target curve are designed, and a difference curve between the flat curve target curve and the flat curve actually measured deviation curve is used as a flat curve starting amount curve of the railway track to perform precise tamping on the railway track.

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.