117results about How to "Avoid uncertainty" patented technology

The invention provides an obstacle association method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining measurement data from at least one sensor, and enabling the measurement data to comprise a plurality of obstacle measurements and detection information thereof; for each obstacle measurement to be associated, selecting a target reference point type from a plurality of predefined candidate reference point types according to detection information of the obstacle measurement to be associated; determining a measurement reference point from the detection information of the obstacle measurement based on a target reference point type selected for each obstacle measurement; determining a matching measure between a measurement reference point and a track reference point based on the measurement reference point measured by the obstacle and the track reference point determined for the fused track; according to the calculation result of the matching measurement between all the obstacle measurements and all the fused tracks, the association relationship between the obstacle measurements and the fused tracks is determined, and the accuracy and the reliability of obstacle association can be remarkably improved by adopting the method.

The application discloses a feature placement method and system for multi-GPU sampling graph neural network training, uniformly models a sampling graph neural network training process, and obtains hardware topology information; in a pre-sampling process, the number of times of accessing node features is counted as node heat, the node features are sorted according to the node heat, the node features are divided into a plurality of feature blocks according to a single-block capacity, and the feature blocks are divided into hot blocks or cold blocks according to block heat; based on the feature block set obtained by the division and the obtained hardware topology information, a mixed integer programming model is constructed, with the minimum bottleneck link time in a feature extraction stage and the memory load imbalance degree as targets, the mixed integer programming model is solved, and the placement position, access path and link flow of the globally jointly optimized hot block are obtained. The application can obtain a high-quality feature placement scheme under a given hardware constraint, minimize the extraction time, and improve the resource utilization rate of a multi-GPU system.

The present application belongs to the field of tunnel advanced prediction technology, and discloses a tunnel advanced prediction electromagnetic observation system and a detection method. The observation mode of surface emission, underground reception, multi-source emission and multi-component reception is adopted. In this mode, high-power emission can be conveniently used, the problems of high transportation cost in the tunnel and low signal-to-noise ratio of collected data are improved, the coverage area of observation data can be improved, and more effective information can be obtained. Based on the observation system, a tunnel advanced prediction inversion algorithm based on deep learning is developed, quasi-three-dimensional joint inversion of multi-component, time-domain and frequency-domain signals is realized, the advantages of deep learning algorithm are fully utilized, time-domain and frequency-domain electromagnetic signals are fully utilized, the calculation efficiency and detection precision of inversion are improved, the non-uniqueness in inversion is reduced, and rapid imaging of underground space structure is realized.

The embodiment of the invention provides a rock dislocation or fracture damage risk early warning method and system, and belongs to the technical field of geotechnical engineering. The method comprises the following steps: acquiring acoustic emission parameter data used for representing rock acoustic emission behaviors, and inputting the acoustic emission parameter data into an acoustic emission parameter identification model to generate probability data corresponding to each preset acoustic emission type; determining an identification type of the acoustic emission parameter data based on the probability data of each preset acoustic emission type, and extracting a target acoustic emission parameter data sequence corresponding to the identification type; based on the target acoustic emission parameter data sequence, calculating a risk determination parameter used for representing a rock dislocation or fracture failure trend, and comparing the risk determination parameter with a preset risk criterion to generate a risk determination result; and outputting rock dislocation or fracture damage risk early warning information based on a risk judgment result. According to the scheme of the invention, the method achieves the distinguishing and judgment of the dislocation and fracture stages of the rock mass, and generates the early warning output of the corresponding damage risk.

The application discloses a time synchronization device and communication equipment, a PTP sending module receives an Ethernet frame to output a first sending data packet start identification signal and a first sending signal; a time stamp processing module assigns a first current time stamp to a first sending time latch signal, and assigns the first sending time latch signal to a time stamp t1 register; a processor acquires the time stamp t1 to stamp a synchronization message / follow-up message, a PCS receiving module receives to output a first receiving data packet start identification signal; a PTP receiving module analyzes a delay request message to output the first receiving data packet start identification signal; the time stamp processing module assigns a second current time stamp to a first receiving time latch signal, and assigns the first receiving time latch signal to a time stamp t4 register; the processor acquires the time stamp t4 to stamp a delay response message. The application can realize high-precision time synchronization.

This invention discloses a physical twin modeling method for cross-condition industrial control systems. It constructs a data-physical fusion physical twin model applied to an anomaly detection framework for industrial control systems. This framework uses the physical twin model as its core, expressing industrial physical processes through a system of differential equations and introducing physical constraints using PINN. Simultaneously, it continuously calibrates the model using real-time operational data to achieve dynamic updates. Furthermore, it achieves adaptive capabilities across conditions, stages, and scenarios through parameter sharing and transfer learning. The trained physical twin model is compared with real-time data, and the existence of anomalies is determined by analyzing the deviation between predicted and observed values. This framework organically combines the high fitting properties of data-driven approaches with the interpretability of physical-driven approaches, providing industrial control systems with high-precision, interpretable, and transferable anomaly detection capabilities.

The utility model discloses a gang saw automatic lubricating device relates to steel production equipment technical field, include: guide component, lubrication supply system and trigger mechanism, and guide component includes guide post and guide sleeve, and the outside of guide sleeve is fixedly connected with saw blade driver, lubrication supply system includes oil reservoir, plunger pump and two lubricating oil pipes, and the oil reservoir is installed in the top of saw blade driver to store lubricating oil, and the plunger pump is installed in the top of oil outlet ware, and the oil inlet of plunger pump communicates with oil reservoir, and the oil outlet of plunger pump communicates with lubricating oil pipe to deliver the quantitative lubricating oil to guide sleeve, trigger mechanism is installed on the guide post to when saw blade driver rises to the top set position, trigger mechanism and plunger pump contact pressurization and make plunger pump supply the quantitative hydraulic oil to guide sleeve, simple structure, convenient to use, realizes the automatic lubrication of gang saw guide sleeve under the condition of not introducing the complex electric control system, effectively improves the stability of gang saw equipment operation.

The invention provides a cross-layer annotation correction and real-time rendering method and application thereof, and belongs to the technical field of digital pathological image processing. According to the method, the problems of labeling dislocation, editing distortion and large-point-set rendering lagging during switching of the multi-focal-plane slices are solved. The method is characterized by comprising the following steps: determining interlayer offset parameters of each focal plane, and carrying out associative storage with focal plane identifiers; anchoring an original focal plane and storing original geometric data when the label is created; when the target focal plane is switched, cross-layer mapping is carried out according to the relative offset parameters, and geometric semantic stability is kept for different labeling types; a rendering complexity index is calculated, hierarchical simplified rendering is executed in a continuous interaction stage, and high-precision display is recovered after interaction is stable; and after editing, reversely writing the target geometric data back to the original focal plane coordinate system. According to the method, cross-layer accurate correction and real-time smooth interaction of the labels are realized, and pathological diagnosis is effectively assisted.

The utility model discloses a transformer hoisting device mainly relates to the power station equipment installation technical field. Including the beam, the both ends of beam top side are equipped with the upper lifting hole respectively, the upper lifting hole is hung with the lifting cable, the both ends of beam bottom side are equipped with the lower lifting hole respectively, the lower lifting hole is hung with the lifting belt or the lifting cable, the both ends of beam are equipped with the length direction same direction extension's rebates respectively, the rebates are hinged with the swing arm, the inner end of swing arm is located in the rebates and the outer end of swing arm exceeds the both ends of beam, the outer end rotatable mounting of swing arm has the vertical guide pulley of axial, be equipped with the elastic element between swing arm and rebates, the elastic element makes swing arm keep with beam and keep static same direction, and when swing arm swings, the elastic element has the elastic force of making swing arm reset for with beam same direction. The utility model has the beneficial effect at in narrow space to the hoisting path can be in the middle direction, prevents and twists and turns and hangs the partiality.

This invention provides a method and system for updating a synchronous forwarding table in a 5G private network device based on UDP, belonging to the field of communication technology. The method includes: a central processing module generating synchronous forwarding table update information and encapsulating it into UDP packets, which are then sent to a message processing module. This information includes a slice identifier, a forwarding table identifier (SEID), PDR rule content, QER rule content, FAR rule content, and a QER rule quantity field. Upon receiving the data, the message processing module determines the valid QER rule content based on the QER rule quantity field, updates the forwarding table according to the synchronous forwarding table update information, stores the updated forwarding table in a hardware forwarding table storage area bound to the slice identifier, and performs packet forwarding processing according to the FAR rule content. This invention achieves efficient, reliable, and multi-slice isolation-compliant synchronous forwarding table updates between the central processing module and the message processing module.

The invention discloses a piezoelectric film with bionic textures and a preparation method and application thereof, the piezoelectric film is formed by directionally stacking and depositing fibers with core-shell structures, the piezoelectric film has a gully-bulge alternating bionic morphology imitating human skin surface textures, and the aperture of the piezoelectric film is gradually increased from an attachment surface in the thickness direction; the fiber having the core-shell structure comprises: a core layer having a porous structure and containing modified molybdenum disulfide and polyester; the shell layer wraps the core layer, and the shell layer contains collagen; the piezoelectric film comprises a sensing unit area and a flexible connection area, the collagen crosslinking degree of the sensing unit area is larger than 75%, and the collagen crosslinking degree of the flexible connection area is 40%-55%. Under the synergistic effect of materials and structures, the piezoelectric film not only has a high piezoelectric constant, but also shows excellent mechanical properties, air permeability and moisture penetrability, and has wide application prospects in the fields of electronic skin, health monitoring and the like.

The invention discloses a momentum wheel mounting structure optimization and verification method suitable for in-orbit vibration source frequency avoidance, and the method comprises the steps: determining whether the momentum wheel generates resonance at a normal working rotating speed or not through the response measurement of the speed increasing process of the momentum wheel under the condition of a free boundary of a whole satellite, and further generating disturbance vibration to other sensors; establishing a system-level whole satellite model containing an assembly or a local simulation model capable of reflecting installation local rigidity, and carrying out modal analysis; the method comprises the following steps: under limited space constraints, carrying out operation efficacy and reinforcement state simulation iteration without disassembling a product, determining a reinforcement mode direction according to a formation, determining specific parameters according to frequency, and carrying out convergence to obtain a lightest, most efficient and operable integrated lightweight reinforcement structure under different momentum wheel mounting positions; and performing reinforcement design to the whole satellite, performing momentum wheel acceleration process response measurement under the condition of the free boundary of the whole satellite, determining the local structure frequency of the reinforced momentum wheel according to the formant occurrence frequency, and determining whether the in-orbit frequency avoidance reinforcement design meets the requirement or not.

This invention discloses an optimization method for LSTM inflow forecasting models for reservoir scheduling. First, based on reservoir flood control and drought relief scheduling regulations, key inflow characteristics, including minimum and maximum flow rates within the forecast period, are identified and selected as forecast targets. Second, a series of LSTM models are constructed by traversing input schemes such as single-variable runoff and multi-variable rainfall and runoff, as well as two modes: direct output of inflow characteristics and indirect output of flow time series. Then, the Nash efficiency coefficient is used as the core evaluation index to determine the optimal input-output configuration for each forecast period. Finally, under the optimal configuration, the influence of memory time on forecast effectiveness is analyzed. A comprehensive evaluation index E is constructed through NSE forward normalization and MAE and RMSE inverse normalization to determine the dynamically optimal memory time as the forecast period extends. This invention achieves precise alignment between the forecast model and scheduling needs, with the optimal memory time significantly extended compared to the physical runoff generation and confluence time, effectively improving the scientific rigor and practicality of reservoir forecasting and scheduling decisions.

This invention discloses an intelligent adaptive dose verification calculation method and system. The intelligent adaptive dose verification calculation method includes: obtaining preliminary dose distribution data for a patient based on a deep learning-based dose prediction model; dynamically assigning variance reduction parameters to particles in a Monte Carlo simulation based on the high and low dose distribution information in the preliminary dose distribution data, wherein the variance reduction parameters include simulation weights, with simulation weights assigned to particles predicted to be in high-dose regions being less than those assigned to particles predicted to be in low-dose regions; and using a Monte Carlo dose calculation engine, simulating the planned beam based on the dynamically assigned variance reduction parameters to obtain high-precision verification dose distribution data. This invention's intelligent adaptive dose verification calculation method ensures the physical authenticity of the final verification dose distribution and the credibility of the "gold standard."

The invention provides a log analysis method and system based on a large language model, and belongs to the technical field of log analys.The method comprises the steps that anti-fact rewriting is conducted on a to-be-analyzed log, and multiple log variants are obtained; log parameters are extracted from the log variants through the large language model to serve as intermediate variables, and the confidence coefficient of each intermediate variable is determined; performing correctness scoring on each intermediate variable based on statistical information of a historical log corpus knowledge base; determining a comprehensive score of each intermediary variable according to the confidence coefficient of the intermediary variable and the correctness score of the intermediary variable; and screening the medium variable with the highest comprehensive score as a log parameter of the log to be analyzed, and generating a log template of the log to be analyzed according to the log parameter of the log to be analyzed. According to the log analysis method, the stable semantic structure of the log can be more emphasized in the log analysis process, and the accuracy and generalization ability of log analysis are improved.

This invention discloses an asynchronous sparse matrix outer product multiplier based on an event-driven circuit design. The multiplier employs a merging strategy that explicitly associates data with storage unit addresses, mapping matrix data address indices to corresponding addresses in the storage modules. Identical indices indicate identical storage locations, necessitating a merging operation. This strategy ensures the determinism of the data merging process and avoids complex sorting operations. Furthermore, the event-driven, clockless circuit used in this multiplier effectively mitigates some problems associated with synchronous circuits due to the absence of a clock and the use of an asynchronous controller to control data transmission. It also features low power consumption, high adaptability, and a certain degree of electromagnetic interference resistance, making it suitable for processing scenarios requiring ultra-low power consumption.

This invention discloses an air conditioning device that determines the initial and equilibrium temperatures of a power module; controls the compressor's operating state to ensure the IGBT output current has a relative zero temperature coefficient; determines the total power module losses at the equilibrium temperature based on the IGBT's relative zero temperature coefficient parameters; acquires the thermal resistance of the inverter driver and refrigerant radiator, and determines the theoretical temperature based on the thermal resistance and total losses; determines the theoretical temperature rise based on the theoretical and initial temperatures, and determines the measured temperature rise based on the equilibrium and initial temperatures; determines the deviation value based on the theoretical and measured temperature rises; acquires the standard deviation value, and compares the deviation value with the standard deviation value to determine whether the refrigerant radiator is qualified. The air conditioning device can intelligently assess the reliability of the refrigerant radiator and its installation.

The invention relates to the technical field of workpiece polishing, and discloses a polishing and grinding device for rotary workpiece manufacturing, which comprises a base, a movable cover is slidably arranged on the inner side of the base, air inlet covers are connected to the two sides of the base, one end of each air inlet cover is connected with the same air inlet pipe, and an air flow frame is connected to the interior of the base. And one side of the inner wall of the base is connected with an ultrasonic generator, the bottom end of the inner wall of the base is connected with an electromagnet, a crankshaft is rotationally arranged between the inner sides of the movable covers, one end of the crankshaft is rotationally provided with a plurality of sets of connecting suites, and the other ends of the connecting suites are connected with universal joints. According to the multi-workpiece polishing device, all-around uniform grinding of multiple workpieces is achieved, uncertainty of manual polishing is avoided, the machining efficiency is improved, it is ensured that the motion trail of the workpieces is stable in the high-speed reciprocating polishing process, accidental loosening is prevented, stable lifting of the movable cover is achieved, mechanical abrasion is reduced, and the working environment is clean.

This application provides a geological space modeling method, apparatus, electronic device, and storage medium. The method includes performing multiple rounds of geological information filtering operations on a predetermined geological space containing multiple voxels; determining multiple inferred geological information for each other voxel (excluding all partial voxels); determining the target information confidence level corresponding to the other voxels; determining whether to update the multiple inferred geological information corresponding to the other voxels; in response to determining to update the multiple inferred geological information corresponding to the other voxels, updating the multiple inferred geological information corresponding to at least one other voxel to its corresponding updated geological information based on the multiple inferred geological information corresponding to at least one other voxel, the target information confidence level, and multiple sets of geological information; and modeling the predetermined geological space based on all actual geological information, all inferred geological information, and all updated geological information, thus solving the technical problem of poor modeling accuracy of geological space in the prior art.

The application discloses a kind of based on multi-source fusion and reinforcement learning's composite material additive manufacturing adaptive control method, first in printing process Synchronous acquisition space position, infrared temperature, tension and compression force and multi-source sensor data such as visible light image;Through the lightweight perception module constructed to each road data is parallelly processed and feature extraction, to force data adopts second-order difference to carry out state discrimination, to temperature data adopts multistage threshold segmentation and extracts forming area statistical feature, and reward feature is generated in combination with image recognition and position mutation detection;The multi-dimensional state features after fusion are combined with reward function, and the agent is trained using reinforcement learning algorithm to learn the optimal printing parameter decision strategy;The trained agent is used for real-time control, and the best printing speed and layer thickness instruction are dynamically output to the mechanical arm according to the current state. The application realizes accurate description and real-time adaptive control of complex multi-physical field coupling process, effectively improves printing quality and process stability.

This invention discloses a locking and release device for a 4D-printed small satellite based on SMA (Super-Magnetic Atomizing) technology, belonging to the fields of aerospace and biomimetic 4D printing technology. The device consists of a main supporting shell 1, a launch platform 2, an auxiliary drive device 3, a locking lever 4, a locking and release spring assembly 5, and an energy storage spring assembly 6. The auxiliary drive device 3 controls the downward movement of the locking mechanism through temperature changes of the inner and outer springs, thereby compressing the energy storage spring assembly 6 and heating it to achieve autonomous energy storage. The launch platform 2 supports the satellite at its upper end and is tightly connected to the energy storage springs at its lower end. The locking and release spring assembly 5 is used to lock the satellite and drive its release. In summary, this invention provides a locking and release device for a 4D-printed small satellite based on SMA, making the failure modes of the satellite launch device effectively controllable and improving the device's adaptability to the extreme environment of space.

The present application relates to the technical field of electrical system design, and more particularly to a spacecraft electrical system interconnection component principle data optimization method and system. The method comprises the following steps: obtaining interconnection component data; structurally deconstructing the interconnection component data to obtain principle unit data; constructing cross-task inheritance paths and extracting assumption constraints based on the principle unit data to obtain cross-task inheritance path data and assumption constraint data, respectively; performing cross-generation principle consistency verification based on the cross-task inheritance path data and the assumption constraint data to obtain distortion unit data; and performing distortion accumulation evaluation on the distortion unit data to obtain distortion accumulation data to assist interconnection component optimization work. By constructing a cross-task inheritance path and principle assumption bearing mapping relationship, the present application can effectively identify implicit principle faults in the electrical system caused by structural pruning or inheritance distortion, and improve the reuse reliability of principle data in multiple generations of space missions.

The invention discloses a systematic correction method for sampling monitoring data of nuclear facilities, which comprises the following steps of: synchronously sampling through an S1 scaling model test to obtain tracer aerosol concentration distribution data, and evaluating the representativeness of an existing sampling position to obtain first monitoring concentration data x; s2, a gas-solid two-phase turbulence coupling numerical simulation model is established, test data is used for iterative verification and calibration until deviation is controlled, and a verification model is obtained; and S3, simulating under different working conditions, identifying a representative sampling section according to an airflow mixing uniformity criterion, measuring to obtain second monitoring concentration data y, and establishing a closed-loop technical route of y = f (x) and systematically correcting the existing monitoring data, monitoring data of an existing sampling position are converted into corrected radioactive emission data used for nuclear facility environment monitoring and radiation safety evaluation, and therefore the closeness and usability of the monitoring data to the real emission level are remarkably improved.

The application provides a pinhole degree detector and an automatic device, and relates to the technical field of detection. The pinhole degree detector comprises a detection box, and a flattening mechanism, a detection mechanism and a winding mechanism are sequentially arranged in the detection box along a preset direction. The winding mechanism is used for winding the material to be detected, so that the material to be detected moves along the preset direction. It can be understood that the preset direction here is the conveying direction of the material to be detected. On the moving path of the material to be detected, the flattening mechanism is used for flattening the material to be detected. The detection mechanism is used for acquiring pinhole information on the material to be detected. Based on this, the pinhole degree detector provided by the application does not need manual carrying and positioning of the material to be detected, greatly reduces the manual labor intensity, improves the production efficiency, avoids subjective errors and uncertainties caused by manual operation, and improves the accuracy and reliability of the detection structure.

The invention discloses a power system oscillation mechanism identification method and a model construction method, and relates to the field of power system low-frequency oscillation, and the method comprises the steps: collecting the active power data of a generator and the active power data of a tie line; performing linear normalization and principal component analysis dimension reduction processing on the data, and constructing a multi-dimensional time sequence to-be-tested sample; a sample is input into a pre-trained deep belief network (DBN) model, the model is formed by stacking a plurality of restricted Boltzmann machines (RBM), data deep features are extracted through unsupervised layer-by-layer greedy pre-training, and parameter optimization is performed in combination with supervised fine tuning. According to the method, negative damping oscillation and forced power oscillation can be automatically identified, the uncertainty of manual feature selection is avoided, the influence of noise and amplitude difference on the identification precision is effectively suppressed, and the adaptability of the model to an actual power grid complex disturbance condition is improved.

The invention relates to a real-time vibration compensation device and method for a cold atom gravimeter. The device comprises a Raman laser, a rubidium atomic group, a reflector, an accelerometer, an optical phase-locked loop module, an analog-to-digital converter, a reference clock source, a heteronuclear FPGA, a direct frequency generation module and an upper computer. Two pairs of Raman lasers oppositely act on a rubidium atomic group in the vertical direction, the accelerometer and the reflector are in rigid connection, analog differential signals of the accelerometer enter the analog-digital converter, converted digital signals enter the heteronuclear FPGA for digital calculation, and the reference clock source serves as clock signals of the digital circuit. A signal calculated by the heteronuclear FPGA enters the direct frequency generation module and is output to the optical phase-locked loop to control the phase of the Raman laser, and the heteronuclear FPGA communicates with the upper computer through TCP connection. The vibration real-time compensation device for the cold atom gravimeter is fully digital, and has the advantages of large dynamic range, low noise and high-precision phase synchronization compensation capability.

The utility model provides a track vibration isolation mat simulation detection device, including a plurality of elastic support components, lower basic simulation board, track board simulation board, vibration loading mechanism and vibration acceleration sensor, the vibration isolation mat sample of waiting for detecting is arranged between lower basic simulation board and track board simulation board, therefore can simulate actual vibration isolation mat floating plate track structure well, and the vibration isolation mat performance that detects obtains is very close to its performance in actual track, has very good reference value. Besides, through setting a plurality of elastic support components below lower basic simulation board, and setting vibration acceleration sensor on it, can take the vibration energy that vibration loading mechanism loads as input energy, take the elastic potential energy of elastic support component that vibration acceleration sensor detects as output energy, and evaluates the performance of vibration isolation mat based on input energy and output energy, compares with the traditional track lower basic vibration level difference method more intuitive and simple.

This application provides a task processing method, apparatus, device, and medium based on ontology domain language. The method includes: acquiring a natural language task request for a target domain; converting the natural language task request into a corresponding structured domain model using a predefined semantic template of the domain, wherein the model is a data object constructed according to the semantic template and containing multiple predefined fields; generating an executable instruction based on the value of at least one field in the structured domain model; executing the instruction to obtain an execution result, thereby completing the business operation corresponding to the natural language task request. This solution, by introducing ontology domain language and semantic templates, maps natural language into a structured domain model, achieving precise parsing and formal expression of task descriptions, and overcoming the problems of uncertainty and insufficient reliability of execution results caused by the reliance on probabilistic reasoning in traditional methods.

This invention discloses an underwater image enhancement method based on cascaded correction and multi-scale fusion, mainly including the following steps: (1) establishing an underwater image dataset to form a first dataset; (2) constructing an underwater image enhancement model based on cascaded correction and multi-scale fusion; (3) inputting the first dataset into the model for image enhancement; (4) evaluating the enhanced underwater image to meet the index requirements, thus obtaining the final underwater image enhancement model based on cascaded correction and multi-scale fusion. Compared with the prior art, the underwater image enhancement method disclosed in this invention significantly enhances the clarity and color fidelity of underwater images, effectively improving the visual quality of underwater images.