29 results about "Multi field" patented technology

The invention discloses a transformer substation global digital twinborn fusion system, which comprises a data fusion module, a model fusion module and an artificial intelligence fusion module, and is characterized in that the data fusion module is used for collecting multi-source data of a transformer substation, preprocessing the data and performing data fusion on the preprocessed data; the model fusion module is used for constructing a bidirectional dynamic mapping model of a transformer substation physical entity and a digital virtual body, constructing a multi-field model and constructing a model increment updating mechanism, and the artificial intelligence fusion module is used for correcting the deviation of an AI model, performing simulation verification on the output of the AI model and generating a visual alarm. According to the method, the technical problems of incomplete data fusion, poor model fusion collaboration and insufficient AI and digital twinning fusion depth in the existing transformer substation digital twinning system are solved, real-time bidirectional accurate mapping of the transformer substation physical entity and the digital virtual body is realized, and the operation and maintenance efficiency and the decision-making precision are improved.

The invention discloses a multi-field die cutting part intelligent manufacturing management system and method based on the industrial internet, and relates to the technical field of data analysis, and the method specifically comprises the steps: building a product feature set based on the product demands of die-casting die cutting parts, and calculating the product passing rate of each die-casting die; extracting die-casting dies greater than a preset first qualified threshold value, obtaining pouring features, recording the pouring features as a die feature set, obtaining die features influencing die-casting die cutting piece production based on a correlation algorithm, and recording the die features as key influence die features; and for any die feature in the die feature set, based on the number of times of taking the die feature as the key influence die feature, obtaining a product feature of taking the die feature as the key influence die feature, and counting a constraint set of the die feature, thereby obtaining an optimal feature value range, and selecting an optimal die-casting die according to the optimal feature value range. The key influence mold features are identified based on the correlation algorithm, and the limitation that the quality of the mold is judged only depending on experience or a single parameter traditionally is broken through.

The application discloses a multi-field fake news detection method based on hierarchical potential field modeling, and belongs to the technical field of fake news detection. The method comprises the following steps: obtaining multi-angle multi-modal feature embedding of to-be-detected news by using a pre-training feature extractor; enhancing original field labels based on multi-modal features by using a field label enhanced memory network; constructing a single-modal and multi-modal processing flow by using a layer-stacking Transformer block, thereby modeling the field dependency relationship in news features in a hierarchical manner while adaptively fusing multi-modal features; introducing a variational mutual information decoupling module to supervise each layer of expert mixed network; obtaining a fake judgment feature by using a field perception Transformer, and outputting a fake judgment result through a classification head. By means of hierarchical field modeling and multi-modal feature fusion, the application effectively solves the distribution difference challenge existing in the multi-field adaptation of social media news.

The invention relates to the technical field of airborne system design, and discloses an airborne system digital forward design method, device, equipment and medium, a design process from demand analysis, architecture design, architecture tradeoff to simulation verification is established, integration and optimization of the airborne system design process are effectively realized, machine learning and multidisciplinary design optimization are combined, and the design efficiency is improved. According to the method, knowledge in multiple fields such as machinery, electronics and software is fused, design rules are mined from historical design cases through deep learning, a multi-target tradeoff analysis model is established, automatic generation and optimization of an architecture scheme are achieved, dependence on artificial experience is remarkably reduced, airborne system design efficiency is improved, design change cost is reduced, and the method is suitable for large-scale popularization and application. And the reliability of the airborne system is improved.

The application provides a dynamic modeling method and system for multi-field skill AI automatic semantic labeling, and relates to information retrieval, medical health and cross-field skill fusion scene. Through nonlinear dynamic modeling and biomedical stability control, the semantic label automatic generation and real-time matching of talent skill and health intervention effectiveness are realized. The application innovatively integrates the sound wave frequency of fetal brain promoting music method, maternal action instruction and blood type nutrition scheme into the "skill-time" frequency domain space, combines the Gevrey smoothing operator and fractional derivative evolution equation, accurately separates the temporary fetal movement fluctuation and low-frequency core characteristics, and breaks through the characterization limitation of traditional models on nonlinear biological coupling effect. By introducing the "intervention effect-time" frequency domain component and local dependency constraint, the short-term effectiveness and long-term value of music intervention on fetal neurodevelopment are quantified, and the model distortion problem caused by extreme data or cross-field parameter resonance in traditional methods is solved.

The utility model discloses a multi-field wear-resistant scraper conveyor which mainly solves the technical problem that transportation is affected due to the fact that the bottom of a groove body of an existing scraper conveyor is prone to being abraded in the transportation process. The middle part is provided with a middle groove, and the machine head and the machine tail are correspondingly connected to the two ends of the middle part. The middle groove comprises a groove body, limiting plates, a plurality of supporting rollers and chains, wherein the limiting plates are symmetrically and internally buckled on the tops of the two sides of the groove body and correspondingly form limiting cavities with the groove walls of the two sides of the groove body, the supporting rollers are perpendicular to the axial direction of the groove body and arrayed in the groove body at equal intervals, and the chains circularly run on the upper sides and the lower sides of the supporting rollers along the axis of the groove body. The chain plates are fixed to the chain at equal intervals and are perpendicular to the axis of the groove body, the belts are connected between the adjacent chain plates, and the bottom faces of the belts are in sliding contact with the supporting rollers when materials are conveyed. Limiting parts correspondingly extending into the limiting cavities are arranged on the two sides of the chain plate. The scraper conveyor can avoid direct contact with the bottom of the material tank body, so that the relative integrity of the tank body is ensured.

1. The name of the design product: intelligent AI edge gateway. 2. The use of the design product: provide data encryption security for inter-device communication, smart home, Internet of Vehicles, industrial Internet of Things and other multi-field applications. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The application discloses a kind of adaptive control parameter optimization methods for multi-field industrial control system, belong to industrial control and intelligent control technical field;By collecting the multi-source heterogeneous time series data in multi-field industrial control system, a unified system state representation is constructed;The non-invasive virtual state evolution of multiple candidate control parameters is deduced, and the corresponding system response trajectory is generated;Introduce the preferred parameter verification mechanism based on physical residual and parameter risk potential, and screen out the parameter combination that violates physical constraints or has high risk;Based on spectral entropy and spectral geometric center, the frequency domain topology gating analysis is carried out, the stability and safety of the control parameters are constrained in frequency domain, and the application of the control parameters is triggered only when the frequency domain stability condition is met. Realize the safe, robust adaptive optimization of multi-field industrial control system control parameters without interfering with the existing production process, improve the reliability and engineering practicability of complex industrial control system parameter setting.

The application provides a multi-field attention mechanism-based electric energy prediction method and system, wherein the method comprises the following steps: acquiring electric energy data and corresponding general features and field features; using a continuous feature encoder and a discrete feature encoder to encode continuous features and discrete features respectively; performing feature fusion on various encoded feature representations, taking the field feature representation as a query in the attention mechanism, and taking the general features as key values and key values in the attention mechanism; calculating the similarity between the query and the key value as the attention weight of the corresponding key value; performing weighted summation on the general features according to the attention weight, splicing the field features, and obtaining mixed features; and using a feedforward neural network to map the mixed features to the electric energy data to obtain an electric energy prediction value. The application can predict the electric energy of various cities and power consumption industries based on a single model, and can fuse electric energy data in different fields to realize accurate electric energy prediction.

The invention discloses a self-adaptive control parameter optimization method for a multi-field industrial control system, and belongs to the technical field of industrial control and intelligent control. Uniform system state representation is constructed by collecting multi-source heterogeneous time series data in a multi-field industrial control system; performing non-intrusive virtual state evolution deduction on the multiple groups of candidate control parameters to generate a corresponding system response track; an optimal parameter verification mechanism based on physical residual errors and parameter risk potential energy is introduced, and parameter combinations which violate physical constraints or have high risks are screened out; based on frequency domain topology gating analysis of spectrum entropy and spectrum geometric gravity center, frequency domain constraint is carried out on stability and safety of control parameters, and application of the control parameters is triggered only when the frequency domain stability condition is met. On the premise that an existing production process is not interfered, safe and steady self-adaptive optimization is carried out on the control parameters of the multi-field industrial control system, and the parameter setting reliability and engineering practicability of the complex industrial control system are improved.

The invention discloses a multi-field and multi-scene-oriented arbitrary multi-frequency pseudo-random signal electrical stimulation device, which is characterized in that the device provides a signal generation module, a signal receiving module, a signal amplification module, a signal output module, a power supply module and the like which are connected in sequence. The multi-frequency pseudo-random signal used by the device integrates the advantages of low-order and high-order pseudo-random signals, is wide in frequency coverage, can flexibly customize and switch the low-order and high-order pseudo-random signals, is realized through specific coding, is high in practical operability, can accurately match the inherent frequency range of a target area in different application scenes, and is high in practicability. And multi-frequency combined signals are selected as required to realize synchronous stimulation. No matter in the fields of rehabilitation physiotherapy, tissue function adjustment, special biological effect regulation and control and the like, the device can adapt to differences of different groups and individuals, the personalized stimulation requirements of diversified scenes are met, and the adaptation range is far beyond that of a traditional single-field device.

The invention belongs to the technical field of forestry engineering maintenance, and particularly relates to a multi-field self-adjusting execution rocker arm which comprises a girder, a working arm, a connecting frame and a mounting seat. According to the invention, the motor I, the motor II and the motor III are controlled through the external integrated console. The mounting base mounting bolt is assembled on the movable carrier, then the positioning ring makes contact with the working face for use, and the positioning ring achieves the spraying effect on trunks or branches through the spraying holes in the inner side. When a working face is changed, for example, the diameter of a trunk is changed, a third motor drives a worm, when the worm rotates, a thread of the worm makes contact with a third shifting wheel, the third shifting wheel can be made to rotate, then a second shifting wheel is driven to rotate, when the second shifting wheel rotates, a shifting cylinder is shifted, a first shifting wheel is driven, then the first shifting wheel drives a second lead screw, and the second lead screw is driven to rotate. When the second lead screw rotates, the connecting rods on the two sides drive the positioning rings to move synchronously, and therefore the distance between the positioning rings is adjusted.

The invention belongs to the technical field of detection pretreatment equipment in multiple fields of food, non-food and the like, and provides an efficient and accurate multi-field sample preparation and separation device and a use method thereof.The efficient and accurate multi-field sample preparation and separation device comprises a treatment cylinder, a top cover is arranged at the top end of the treatment cylinder, and a smashing and homogenizing mechanism is arranged above the top cover; a discharging assembly is arranged below the processing barrel, supporting seats are fixedly connected to the bottom face of the processing barrel, and a weighing assembly is fixedly installed on the side faces, close to each other, of the two supporting seats. The variable frequency motor drives the driving rod, the driving disc and the smashing cutter to efficiently rotate, a homogenizing structure can be formed, one-stop rapid sample homogenizing can be achieved in cooperation with auxiliary liquid supply of the water injection electromagnetic valve and the water injection pipe, subsequent cryopreservation and repeated freezing and thawing are not needed, it is avoided that the biological activity of a sample induces drug metabolic conversion or structural isomerization, and the efficiency is high. And the detection result reflects the original residual state.

Disclosed by the present disclosure is a method for obtaining key parameters for pollutant transportations under coupling effects of temperature and hydrodynamics based on a site scale. The method is to obtain the permeability parameters, thermal conductivity, and dispersion coefficient of the contaminated sites based on multi field coupling numerical simulations of hydrodynamic field-temperature field-concentration field. The transportation parameters for pollutants on the site are key indicators for the investigations and treatments of organic pollution on the site. The method as illustrated in the present disclosure includes establishing a water-thermal-salt coupling model for organic contaminated sites according to site drilling data and site physical test results in the early stage, performing multiple field coupling numerical inversion according to the site model in combination with multi-party data, adjusting the model parameters through manual trial and error method to improve model accuracy and obtaining the optimal model.

The invention discloses a temporary wharf special construction scheme intelligent generation method based on a multi-field knowledge base. The method comprises the steps that 1, the specific name of a temporary wharf special construction scheme is input; 2, a qwen-32B large model, a standard specification knowledge base and a design file knowledge base are utilized to automatically generate compilation basis chapters; step 3, generating project general situation chapters by using the qwen-32B large model and the design file knowledge base; and 4, generating a construction plan chapter by using the qwen-32B large model and the design file knowledge base. 5, designing a file knowledge base by utilizing the qwen-32B large model and the construction process knowledge base, and generating construction process chapters; step 6, generating guarantee measure chapters by utilizing the qwen-32B large model, the construction process knowledge base, the design file knowledge base and the basic guarantee knowledge base; and step 7, generating acceptance requirement chapters by using the qwen-32B large model and the design file knowledge base. And the problems in a special construction scheme compilation process are solved.

The invention discloses a product design method and a formulating system thereof, particularly relates to the technical field of product design, and aims to generate association records through'demand-design 'two-way mapping, capture multi-field design changes and quantify cross-field conflicts, evaluate change influences through a full-cycle cost-performance coupling model, and perform intelligent rollback verification on unqualified versions. And finally generating a log containing a'demand-design-change 'traceability chain. The system comprises a first draft and demand mapping module and a cross-domain deviation collaboration module, and the method is correspondingly executed. According to the product design method and the formulation system thereof, the problems of demand disjunction, conflict control difficulty, one-sided evaluation and the like in traditional design are effectively solved, full-period global balance is realized, the design efficiency is improved, and the cost and the risk are reduced.

The application discloses a large-range automatic precise control liquid dispensing method of a pipette, and belongs to the technical field of the pipette. In the application, a single device is combined with a double peristaltic pump mode, so that the wide-range liquid dispensing demand is covered, a plurality of pipettes are not needed to be matched, cost and space are saved, integer dispensing plus a high-precision iteration of a residual amount is adopted, the minimum precision reaches 0.01 muL, non-integer volume demand is accurately adapted, three modes of automatic, high-precision and manual are provided, different use scenes are adapted, and the operation threshold is reduced, manual contact is reduced, liquid pollution and volatilization risk are reduced, and the application is suitable for precise liquid dispensing in multiple fields.

The invention discloses a large-range automatic accurate control pipette liquid preparation method, and belongs to the technical field of pipettes. According to the invention, a single device depends on a double-peristaltic pump combined mode, the wide-range liquid preparation requirement is met, a plurality of pipettes do not need to be matched, and the cost and the space are saved; through integer allocation and margin high-precision iteration, the minimum precision reaches 0.01 [mu] L, and the non-integer volume requirement is accurately met; an automatic mode, a high-precision mode and a manual mode are provided, different use scenes are adapted, and the operation threshold is lowered; manual contact is reduced, liquid pollution and volatilization risks are reduced, and the device is suitable for accurate liquid preparation in multiple fields.

The application provides a multi-field task processing method, system, device and medium based on knowledge fusion and Agent cooperation, and belongs to the technical field of cross-field knowledge fusion. The application generates a sub-task set by decomposing a user input task; constructs a specialized Agent set according to a skill mapping table and a role template library; performs cross-field knowledge retrieval and fusion on the Agent set, monitors output consistency and classifies collaboration conflicts; triggers corresponding expansion mechanisms for different conflicts, updates a knowledge graph or generates a new Agent; and simultaneously monitors field knowledge updates, adjusts knowledge weights and synchronizes to related modules. The application realizes accurate decomposition and specialized processing of complex tasks, improves cross-field knowledge fusion efficiency, solves collaboration conflicts, enhances system adaptability, ensures processing timeliness through real-time knowledge updates, and improves the task processing quality and efficiency of a multi-Agent system.

The invention relates to the technical field of distributed artificial intelligence and collaborative perception, and discloses an intelligent perception and decision-making system for distributed multi-modal data fusion, which comprises the following steps: acquiring multi-field real-time data streams in a live broadcast process, aligning the multi-field real-time data streams according to a unified time granularity, and storing the aligned data streams in a sliding window buffer area; carrying out abnormal point detection on the deviation degree sequence of each field by applying an accumulation and detection algorithm, and outputting abnormal alarm information when the accumulation deviation exceeds a dynamic threshold value; outputting the type pre-judgment of the current exception in the field of triggering the exception alarm; when a trend type abnormal event is detected, calculating the occurrence probability and urgency degree of each downstream event, and generating early warning information and intervention suggestions; according to the invention, the pre-judgment from the current domain exception to the future associated domain event is realized. The problem of pre-judgment lag caused by single-field detection is solved, and a time window is won for operation intervention.

The utility model discloses a ground bulk material belt conveyor for multiple fields. The problem that bulk materials carried at the position of an inclined-section bulk material belt conveyor are prone to sliding off under the action of the gravity of the bulk materials, and therefore the transportation efficiency and personal and equipment safety are affected is mainly solved. The device comprises a rack arranged on the ground, a conveying belt obliquely arranged relative to the rack, and a material pressing mechanism fixed relative to the rack and arranged above the conveying belt. The material pressing mechanism comprises stand columns which are arranged on the two sides of the rack and fixedly connected with the rack, guide grooves which are parallel to the conveying belt and are symmetrically fixed to the stand columns on the two sides, and fulcrum shaft chain belts which are arranged at the tops of the stand columns and used for synchronously rotating along with the conveying belt. The pressing plate assemblies are fixed to the surface of the fulcrum shaft chain belt at equal intervals, used for extruding the bulk materials on the conveying belt and correspondingly move along the guide grooves. Therefore, reliable transportation of various bulk material inclined sections can be achieved, and production efficiency reduction caused by material sliding and safety risks caused by material sliding are avoided.

The invention relates to the technical field of carbon emission management, in particular to a method and system for constructing a carbon-to-peak carbon neutralization path evaluation model and a medium, and the method comprises the following steps: S1, collecting multi-source time sequence data such as energy consumption, carbon emission, technical adoption and carbon sink change in different periods, and fusing multi-field dynamic feature embedding to obtain a model; constructing a carbon path evolution memory map reflecting the causal evolution relationship between the stages; s2, calculating a path tensor similarity and a tension index based on the atlas, identifying a jump window, judging a stipulated execution strength and structure adjustment hysteresis, and outputting a control window region set; and S3, constructing a carbon evolution driven boundary network and training a path evaluation model, and outputting a path sensitivity map and a regulation and control strategy suggestion. According to the invention, by constructing the carbon path evolution memory map and the carbon evolution driving boundary network, accurate identification and path sensitivity analysis of the control window area are realized, so that intelligent regulation and control strategy support is provided for a carbon-to-peak carbon neutralization path.

The invention belongs to the technical field of semiconductor display, and particularly relates to a Micro-LED display module design method which comprises the steps of system-level design index input and multi-level decomposition, pixel circuit automatic synthesis and optimization, display array automatic generation and physical design and the like. User macroscopic indexes are automatically and quantitatively decomposed into device-level, circuit-level and process-level executable parameters, a design starting point is ensured to consider a manufacturing constraint and multi-field coupling relationship depending on a collaborative design library, a forward design process from a system to a process is realized, circuit design automatically conforms to process capability, and the design efficiency is improved. Process selection directly serves a system performance goal. Parallel cooperative work is carried out under a unified index system and a model library, and the design period is remarkably shortened.

The application discloses a multi-field knowledge fusion method based on semantic trees, and mainly relates to the technical field of knowledge graph in multi-source and multi-field knowledge cross fusion. The application is based on the establishment of semantic trees of multiple fields of knowledge, proposes a corresponding association rule mining method, performs association analysis between the semantic trees, finds the association rules of different fields, and performs mining and calculation of associated elements based on graph operation theory, so that organic fusion of multi-field knowledge can be realized. The application can solve the problems of not easy alignment, association and merging of semantic trees of different fields due to heterogeneity, and can fuse multi-source and multi-field knowledge into an organic whole, so that more comprehensive, unified and cooperative knowledge sharing can be provided, and the application is especially suitable for theoretical and systematic design of a unified technical architecture in a 'knowledge-intensive' field.

The invention relates to the field of ocean equipment digital design, and particularly discloses a Modelica-based FPSO complex equipment multi-field coupling modeling method, which comprises the following steps: carrying out top-down hierarchical decomposition on a riser support system, and designing a unified model library architecture and interface specifications; a modular model component library of a control system, a hydraulic system and a mechanical system is developed based on Modelica; designing a mechanical-hydraulic energy coupling interface, a control-hydraulic signal coupling interface and a control-mechanical feedback coupling interface, integrating multi-field equations into a unified differential algebraic system by using Modelica non-causal modeling characteristics, and processing multiple time scales and discrete events; and integrating model components of all fields to construct a system digital prototype, and carrying out full-coupling simulation verification of typical working conditions. According to the method, unified description and seamless coupling of the FPSO complex equipment multi-field model are realized, the design collaboration and the model reusability are improved, and the design verification cost is greatly reduced.

The invention relates to a three-dimensional structure unit cell configuration multi-physical field performance coupling regulation and control method and system, and belongs to the field of electric digital data processing. And constructing a multi-scale self-similar microstructure unit cell through a fractal geometry theory. The fractal dimension is quantitatively represented by adopting a box-counting dimension method, a mapping relation model of the fractal dimension and electromagnetic, mechanical, optical and other physical properties is established, and directional regulation and control of macroscopic physical properties are realized. The material meets the requirements of multiple fields such as electromagnetic wave absorption, vibration suppression and light field regulation and control through parameterized design, the limitation of cross-physical field regulation and control of traditional materials is solved, and a universal framework is provided for mathematical design of functional materials.

1. Name of the product in this design: Motion Controller (HIC3000PLUS). 2. Application of this design: for motion control of equipment in multiple fields. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The invention discloses a multi-field linkage state machine system for describing a complex business scene, and belongs to the technical field of brokerage transaction systems. According to the system, a state machine and a process definition are loaded through a configuration analyzer; the filler converts the external request into an internal event and fills the corresponding configuration; the event queue router routes the event to a fixed working thread queue according to the service identifier so as to ensure the sequence; the working thread pool concurrently executes events; the process execution engine executes the process in the event; and the multi-field state machine management center drives state circulation, and automatically generates and triggers a linkage event associated with the state machine when the state change triggers a linkage condition, thereby realizing the linkage of the multi-field state machine. According to the method and the system, through a modularized and configured architecture and in combination with an assemblable thread queue model, the technical problems that a state machine in a brokerage transaction system is complex in management, difficult to link and difficult to consider concurrency performance and sequence consistency are solved, and high development efficiency, high maintainability and high expandability are realized.

The invention relates to a human-vehicle interaction data retrieval method, system and device for an intelligent cockpit large model agent, and belongs to the technical field of human-vehicle interaction of intelligent vehicles. The problems that in the prior art, due to the fact that a single embedded model processes multi-field heterogeneous data, feature interference is serious, illusion is likely to be generated, retrieval precision is low, and response delay is high are solved. The invention provides a classification-fine tuning-retrieval collaborative architecture. The method comprises the following steps: firstly, accurately dividing input interaction data into target fields such as vehicle control, multimedia and navigation through a multi-field request classifier; then freezing the shared backbone network, and only activating and utilizing an exclusive adapter module of a corresponding field to carry out efficient parameter fine tuning so as to generate a field adaptation vector; and finally, executing accurate retrieval in the knowledge base of the corresponding field and calling the target API. According to the method, cross-domain interference is effectively suppressed, the retrieval precision and response speed are remarkably improved, the calculation and storage overhead is greatly reduced, good expansibility is achieved, and the multi-domain interaction experience of the intelligent cockpit is remarkably improved.