18results about How to "Reduce inconsistency" patented technology

The invention is suitable for the technical field of data processing, and particularly relates to a sensor data time synchronization error compensation method and device, and the method comprises the steps: obtaining the multi-sensor original data of a current frame, and extracting the multi-sensor feature data; obtaining an error estimation vector based on the error estimation network; performing error compensation on the multi-sensor original data to obtain multi-sensor compensation data; constructing a factor graph, and performing optimization solution on the factor graph to obtain a residual set; calculating a comprehensive quality score according to the residual set; according to the comprehensive quality score and the comprehensive quality scores of the first M frames, determining that a triggering condition is met, and triggering fine adjustment; and based on the multi-sensor original data, the multi-sensor feature data and the comprehensive quality score in the time window, performing fine adjustment on the model parameters of the error estimation network to obtain the error estimation network after fine adjustment. According to the method, more accurate compensation of time sequence errors and data distortion among multiple sensors is realized, and continuous self-adaptive optimization is realized.

The invention discloses a rapid assembly welding construction method for boiler steam blowpipes. The method comprises the steps that small-pipe-diameter and large-pipe-diameter welding auxiliary structures are manufactured, pipelines are hoisted to the installation position for butt joint, the corresponding welding auxiliary structures are selected according to the pipe diameters so that pipe openings of the pipelines can be aligned and preliminarily welded and positioned, and final butt joint welding is completed after the auxiliary structures are dismantled. An auxiliary mounting and welding structure of the automatic screwing device is further manufactured, and the device enables a screwing driving mechanism to be in butt joint with a connecting bolt, a nut or an adjusting bolt by adjusting the positions of all parts and drives the screwing driving mechanism to rotate. According to the assembly welding device, the technical effects of quickly and accurately completing assembly welding of the boiler steam blowpipes and improving the construction efficiency and quality are achieved.

The application discloses a register configuration combination verification information generation method, a verification method and a device, and relates to the technical field of chip verification. First, the bit width and the value range of a domain segment are obtained by analyzing a register description file, and then the value range is divided according to the bit width, and verification points are automatically obtained, so that the generation efficiency and consistency of the verification points are improved. Secondly, the value range of a random variable corresponding to the domain segment is determined according to one or more verification points, and the diversity of the test configuration is increased. Thirdly, each verification point is mapped into a corresponding coverage bin of a coverage point, so that each coverage bin corresponds to a corresponding verification point, and whether the corresponding verification point is covered can be determined according to the hit condition of the coverage bin in the subsequent process. Finally, the test constraint condition and the coverage rate model are both generated according to the same set of verification points, so that the generation efficiency, completeness and accuracy of the verification information are improved. When the register configuration combination verification is performed, the efficiency, completeness and accuracy of the register configuration combination verification are ensured.

This application relates to the field of two-dimensional semiconductor material preparation technology, specifically to a method for preparing monolayer molybdenum disulfide by dual-sulfur source chemical vapor deposition, comprising the following steps: Step 1, providing a chemical vapor deposition reaction chamber having an upstream region, a growth region, and a downstream region; Step 2, arranging a molybdenum-containing precursor in the growth region, and arranging a substrate above or opposite to the molybdenum-containing precursor; Step 3, arranging a first sulfur-containing precursor in the upstream region and a second sulfur-containing precursor in the downstream region; Step 4, introducing a carrier gas into the reaction chamber and heating it to cause the first sulfur-containing precursor, the second sulfur-containing precursor, and the molybdenum-containing precursor to volatilize and undergo a chemical vapor deposition reaction on the substrate surface to form a monolayer molybdenum disulfide. This invention employs a dual-sulfur source strategy, achieving large-size, uniform, and low-defect preparation of monolayer MoS2, facilitating widespread application.

This application discloses a channel estimation method, apparatus, terminal, and network-side device, belonging to the field of communication technology. The channel estimation method of this application includes: a terminal receiving first information sent by a network-side device, the first information being used to indicate a target association relationship, the target association relationship being an association relationship between a first signal and multiple sets of second signals, the multiple sets of second signals corresponding one-to-one with multiple resource ranges; the terminal performing channel estimation based on the first information.

This invention relates to the field of gas safety inspection management, and more particularly to a gas safety inspection management method and system based on image recognition. The method includes: acquiring user files and historical safety inspection rectification data, generating a risk file package, and generating a strategy package accordingly; generating a session package through appointment visit verification; performing evidence status machine access control collection under the constraints of the session package, collecting image evidence according to the evidence slot template and performing access control for clarity, repeatability, and coverage, forming an evidence package and evidence credibility score; performing object identification and hazard candidate generation; performing consistency access control verification on the hazard candidate set, inspection item set, and safety inspector input items, generating abnormal results and handling plans, and updating the risk file package and the strategy package for the next cycle. This invention realizes the coordinated operation of evidence collection, hazard identification, verification judgment, and handling arrangement in the gas safety inspection process, improving the continuity and traceability of the safety inspection process.

The application discloses a kind of high proportion new energy access power distribution network's net load prediction method and system, method includes: collecting power distribution network historical operation data and regional meteorological data and preprocessing;The causal effect intensity between different characteristics in the data after being calculated is determined the final causal adjacency matrix;Net load prediction model is built, including multilayer trend feature extraction module, multilayer periodic feature coding module and feature fusion coding module;Through net load prediction model, predict load power, photovoltaic and wind power output, net load power;Based on the prediction result, total loss function is calculated and net load prediction model is trained;Through the net load prediction model of well-trained, predict the net load power of future time.This application introduces causal mechanism modeling, trend and cycle decomposition fusion and physical constraint joint optimization mechanism, significantly improves the accuracy, stability and engineering practicability of net load prediction under the scene of high proportion new energy access power distribution network.

This invention provides a problem analysis and processing method, apparatus, electronic device, medium, and program product, applicable to the field of artificial intelligence technology. The method includes: acquiring target problem text to be analyzed; performing type identification and text extraction on the target problem text based on a preset set of problem type tags to obtain a first text fragment and a second text fragment; selecting target knowledge resources from different types of knowledge resources based on the first and second text fragments and performing retrieval to obtain corresponding first and second candidate information; and performing dynamic balancing calculations on the first and second candidate information to obtain processing suggestions. By integrating philosophical analysis methods with an artificial intelligence problem parsing framework, different problem types in mixed inputs can be accurately separated, and appropriate retrieval strategies and generation logics can be adopted for each, thereby avoiding knowledge mismatch and improving the accuracy and persuasiveness of the response.

This invention discloses an euploidy prediction method based on the fusion of blastocyst developmental dynamics and spherical harmonic decomposition. The method acquires multifocal plane image sequences of blastocysts using a time-difference imaging system and extracts dynamic parameters. After semantic segmentation and depth estimation, a three-dimensional surface model is obtained through surface reconstruction. The trophoblast cell instances are segmented to obtain three-dimensional centroid coordinates. These centroid coordinates are radially projected onto a unit sphere, and a spherical density function is constructed after excluding the inner cell mass mask. Spherical harmonic decomposition is then normalized using Monte Carlo zero-model normalization to obtain normalized power spectra at each degree. The basic morphological features, dynamic parameters, and spherical harmonic features are fused and filtered before training an ensemble learning model to output prediction results. This invention is the first to introduce spherical harmonic analysis into blastocyst assessment, capturing multi-scale spatial distribution information that global statistics cannot obtain. The power spectrum exhibits rotational invariance, and zero-model normalization eliminates cell number confounding.

This invention discloses a method, system, and storage medium for determining the equalization capacity of a lithium iron phosphate battery. The method includes the following steps: selecting a starting voltage value; determining that the current highest single-cell voltage value is greater than the starting voltage value; recording the charging trajectory, which is the charging trajectory from the current highest single-cell voltage value to the starting voltage value and then to the charging cutoff voltage; dividing the charging trajectory into multiple capacity zones, setting a corresponding equalization strategy and the charging capacity to be equalized for each capacity zone; recording the voltage value of each single cell at full charge; determining the capacity zone where the voltage value of each single cell belongs based on the divided charging trajectory intervals; and executing the corresponding equalization strategy and the charging capacity to be equalized. This invention can identify the difference in charge capacity between different single cells in a lithium iron phosphate battery system, reduce battery pack inconsistencies, minimize the differences between single cells within the battery system, and improve the usable capacity of the battery pack.

This invention discloses a method and system for correcting pixel response inconsistencies. The method relates to the field of pixel response correction technology and includes the following steps: calculation of dynamic pixel offset, acquisition of flat field coefficients, pixel-level comprehensive correction, and secondary optimization for bad pixel self-repair. This invention calculates the dynamic pixel offset using a temperature-time dual-domain prediction model by acquiring dark frame images and real-time temperature data; then, it integrates the baseline values ​​calibrated across the entire spectrum by a laboratory micro-integrating sphere, and updated values ​​from in-orbit observations of deep space and cloud tops, processed by bad pixel detection, to obtain the flat field coefficients; next, it combines GPS, attitude angles, and real-time temperature to perform pixel-level correction using the offset and flat field coefficients; finally, it relies on a deep reinforcement learning model containing convolutional neural networks and long short-term memory networks to output a gain compensation matrix, and uses a bad pixel self-repair module to perform secondary optimization of the image, improving the accuracy of pixel response inconsistency correction and solving the problem of large errors in pixel response inconsistency correction in existing technologies.

The feeding device of the laser cutting machine relates to the technical field of mechanical automation and comprises a supporting frame, a supporting plate is fixedly connected to the top of the supporting frame, a connecting shell is fixedly connected to the outer surface of the supporting plate, and a cleaning mechanism is arranged on the outer surface of the connecting shell. By arranging the connecting plate, when a material makes contact with the cleaning strip, the cleaning strip can clean stains on the surface of the material, at the moment, the material can push the cleaning strip upwards, the cleaning strip drives the connecting plate to move upwards, and the cleaning strip can clean the stains on the surface of the material. And at the moment, the connecting plate extrudes the spring, then the spring rebounds to enable the cleaning strip to be tightly attached to the surface of the material for cleaning, and through the connecting plate capable of sliding in the fixing shell, the effects that the cleaning strip can be tightly attached to the surface of the material for cleaning, the effectiveness during laser cutting can be ensured, and the smooth and clean cutting edge is obtained are achieved.

The invention discloses a method for generating mapping from business terms to coding technology terms, particularly relates to the technical field of computer software, and is used for solving the problems that in a large-scale industry informatization project, business requirements exist in a multi-source natural language text, terms are not uniform, rule boundaries are easy to omit, and the efficiency is low. Therefore, the problem of difficulty in automatically and stably generating coding technical terms matched with a specific engineering environment is solved. On the basis of a unified service term library and service change key points, candidate technical terms are screened by using a double-branch semantic coding model in combination with engineering environment tags and service rules, and finally an AI coding technical term list with version numbers is generated. Therefore, a technical term set capable of directly driving automatic coding can be automatically and stably generated for a specific engineering environment under the business demand conditions of multiple sources, inconsistent expression and boundary omission, and mapping deviation and inconsistency caused by manual understanding and translation and repeated communication are reduced.

The invention discloses a digital soil mapping method and device based on a horizontal-vertical bidirectional graph convolutional network, and the method comprises the steps: taking soil samples as nodes, and constructing horizontal connection edges between soil samples which are of the same soil type and are adjacent in spatial positions; the method comprises the following steps: constructing a vertical connecting edge between soil samples in adjacent depth layers in the same soil profile, and associating the soil samples with close soil attribute relationship in a space direction and a vertical profile direction through a horizontal connecting edge and the vertical connecting edge; based on the constructed soil sample graph structure training graph convolution model, structural correlation information between soil samples can be fully utilized, the precision and stability of a target soil attribute prediction model are effectively improved, and the inconsistency of prediction results in the space and section directions is reduced. And a more reliable technical support is provided for the fields of soil resource management, agricultural production, ecological environment evaluation and the like.

The utility model discloses a mechanical arm unpacking device which comprises a full-automatic mechanical gripper, a full-automatic carton sealing machine, carton placing platforms and a rotary table, the full-automatic carton sealing machine and the rotary table are arranged on the two sides of the full-automatic mechanical gripper respectively, the carton placing platforms are arranged on the rotary table, and under the driving of the rotary table, the carton placing platforms are arranged on the rotary table. A plurality of carton containing platforms arranged on the rotating disc move to the grabbing position in sequence, a portal frame is arranged on the side, facing the full-automatic mechanical gripper, of the rotating disc, and a detection device is installed on the portal frame, arranged above the grabbing position and used for detecting the size, the stacking thickness, the material shortage condition and the like of cartons at the grabbing position of the full-automatic mechanical gripper. And the cartons can be conveyed to the preset grabbing positions in sequence under the driving of the rotating disc, so that the overall production efficiency and processing capacity are remarkably improved. Cartons on all the carton placing platforms are conveyed to the same grabbing position in turn through the rotating disc to be detected, and the number of needed cameras is greatly reduced.

The invention discloses packaging equipment capable of rapidly replacing a roll film, and relates to the technical field of packaging equipment, the packaging equipment comprises a film releasing device, a V-shaped shaping device and a packaging host, a driving motor drives rotating rings on the two sides to rotate oppositely through a bevel gear and a transmission thread, so that driving side pressing rollers on the two sides are synchronously folded towards the middle and are matched with the upper contour of a transition section; inconsistency caused by respective left and right adjustment is reduced, and the centering and adjusting efficiency of the bending surface is improved. And the upper partial pressure roller and the lower partial pressure roller vertically clamp and roll a triangular surface and form rolling support, so that a film is stressed more uniformly at a transition section, feeding is more stable, and deviation and broken line drift caused by local tension fluctuation are reduced. The driving side pressing roller is attached to the inner side of the bent face, the driven side pressing roller is attached to the outer side of the bent face, symmetrical rolling limiting and rolling clamping are formed on the bent faces on the two sides, springback, wrinkling and edge warping of the bent faces are restrained, and the convergence trend and forming consistency of the bent faces are enhanced.

The present application relates to the technical field of agricultural planting, and discloses a high-yield rape intelligent breeding screening method and system, which comprises the following steps: S1: obtaining multiple rape plant branch images; S2: labeling the top end of the mature rape silique beak region and dividing it into a training set, a validation set and a test set; S3: uniformly scaling the sample size to a preset pixel to form a standardized network input tensor; S4: inputting the standardized network input tensor into a rape silique beak detection model for forward propagation; S5: repeating the operations of S3 and S4, and stopping training when the maximum training round is reached; S6: after each training round ends, inputting the validation set into the current rape silique beak detection model for forward evaluation; S7: inputting the test set into the saved optimal model for independent testing; and S8: obtaining multiple rape plant branch images, and obtaining the number of rape silique corresponding to the images through the rape silique beak detection model. The present application realizes accurate and efficient counting of rape silique by accurately identifying tiny beaks.

The application belongs to the technical field of intelligent service management and manufacturing, and discloses a kind of technician platform management service system based on labor dispatching.The system includes: portrait management module, for building and maintaining the technician skill portrait containing dynamic state parameters;Task analysis module, for decomposing customer tasks into task skill topology based on domain knowledge model;Matching decision module, for executing two-stage decision based on skill coverage screening and scheduling simulation containing timing planning, generating dispatching scheme;Feedback evolution module, for calibrating portrait parameters and optimizing decision strategy according to task execution results.The application realizes accurate, dynamic and self-evolving matching and scheduling of technician skills and complex tasks, and can improve the problems of low skill utilization efficiency, suboptimal task resource allocation and lack of self-improvement ability in traditional labor dispatching.