450 results about "Quality information" patented technology

The invention relates to a lightweight component surface defect quantitative evaluation method, system and device, and the method comprises the steps: obtaining a multispectral surface image, laser three-dimensional data and ultrasonic detection data of a lightweight component, and carrying out the fusion registration based on a preset multi-sensor synchronization protocol, and obtaining a component joint data set; performing dynamic pruning analysis on the component joint data set to obtain geometric contour features, and performing internal feature extraction on the component joint data set to obtain internal abnormal response features; stress gradient distribution data and volume ratio parameters are carried out on the geometric contour features and the internal anomaly features; and obtaining an original working condition data set of the lightweight component, carrying out service working condition coupling analysis on the multi-dimensional prediction matrix, and carrying out multi-dimensional quality l parameter identification to obtain component comprehensive quality information. According to the method, the morphology mechanical coupling feature extraction precision of composite defects such as cracks and holes can be improved.

A control unit (130) of a control apparatus (10) acquires a position of a first communication device (40A) and first quality information about a plurality of links. The first communication device (40A) is positioned in a first site in which a first base station (20A1) for a first private network is arranged, and is connectable to the plurality of links including the first private network. The control unit (130) acquires a position of a second communication device (40B) and second quality information about the plurality of links. The second communication device (40B) is positioned in a second site in which a second base station (20B1) for a second private network is arranged, and is connectable to the plurality of links including the second private network. The control unit (130) acquires first and second communication information about the first and second communication devices (40A and 40B). The control unit (130) uses the first and second communication information and first and second quality information to determine a communication route satisfying a desired quality between the first and second communication devices (40A and 40B), and gives notice of route information.

The invention relates to the technical field of hot melt glue machines, in particular to a hot melt glue machine multi-path glue discharging control method and device, equipment and a storage medium. Glue discharging is executed based on the target, and actual glue discharging quality information of each glue path is obtained; according to the information and a preset target, a multi-path glue outlet state deviation matrix is generated; inputting the matrix into a multi-glue-path coupling cooperative control model to obtain cooperative control parameters of each glue path; and finally, cooperative control is carried out on each glue path actuator according to the parameters so as to eliminate the glue output quality difference among the glue paths. According to the method, the global glue discharging state is intelligently sensed, and the multi-path coupling relation is accurately modeled and compensated, so that high-precision cooperative control on the glue discharging quality of the multi-path hot melt glue machine is realized, the systematic technical problem of non-uniform glue discharging of multiple glue paths is effectively solved, and the quality and consistency of packaged or coated products are remarkably improved.

The invention discloses a non-reference image quality evaluation method and device based on multi-perception feature fusion and dynamic enhancement, and the method comprises the steps: obtaining the quality information of a multi-domain distorted image based on superpixel segmentation and Gaussian kernel filtering texture generation; quality related feature extraction is performed on multi-domain information through a semantic perception module and a distortion perception module, bidirectional modulation is performed on global visual features of an original distorted image through a cross attention mechanism, and dynamic fusion of multiple perception features is realized; through a parallel feature enhancement unit formed by local adaptive filtering of a visual self-attention block and a dynamic residual block, dynamic allocation of perception modes to different content areas is realized; generating a weighted quality score consistent with human visual perception through a weighted dual-path regression device; and outputting a predicted score consistent with the human score from the distorted image through the three sub-networks. According to the method, the problems of insufficient adaptability to complex content of a distorted image and low local distortion sensitivity are effectively solved.

The invention relates to the technical field of gas appliance quality control, and discloses a quality data analysis management system based on gas appliance production and after-sales service. A data acquisition module of the system acquires a process parameter time sequence from a distributed production terminal, and acquires a running state alarm event flow from a user service terminal in real time; the feature analysis module performs abnormal fluctuation compensation on a process parameter time sequence in a quality information fusion analysis mode, generates a multi-dimensional quality defect feature spectrum and determines a process tracing period; the risk conduction module obtains part circulation path information and analyzes defect correlation characteristics to obtain quality coupling data, and the production batch quality safety situation level is determined in combination with an alarm event flow; and the regulation and control execution module intervenes the full-life-cycle dynamic quality management and control blind area according to the process tracing cycle and the quality safety situation level. The system realizes integrated management of production and after-sales service quality data, and improves the effectiveness of quality management and control.

A method is performed by a user equipment (1100) for reporting quality of experience information. The method comprises transmitting, to a network node (1200) of a communications network, a quality of experience measurement report comprising quality of experience measurement data associated with an application session between the user equipment (1100) and the communications network. The method further comprises transmitting, to the network node (1200), an indication of a connectivity state of the user equipment (1100) with respect to the communications network when the application session was initiated.

Techniques are disclosed to determine driver scoring that consider road quality and / or conditions in driver score computations. In contrast to the conventional approaches, the use of road conditions and / or road quality in the computation of driver scores allows for the consideration of road conditions and / or quality to improve upon conventional scoring techniques.

Disclosed are a product quality incident early warning method and system based on a convolutional neural network, the method includes: obtaining product quality information, determining product quality compliance, and issuing an early warning for a quality incident; inspecting product quality to obtain production-related parameters and appearance parameters, which are used to determine a production benefit value and a finished product qualification rate of the product, respectively, thereby determining a product quality compliance value; comparing the product quality compliance value with a preset quality compliance threshold to screen out quality anomaly index information of the product, and constructing a product quality anomaly convolutional neural network model to issue an early warning for the quality incident, such that product quality information can be obtained in a more accurate and rapid manner, allowing for quicker and more efficient identification of a product quality incident.

The invention discloses a medical oncology specimen collection and management system, and relates to the technical field of specimen management, and the system comprises a collection and detection unit which is used for collecting biopsy specimens and corresponding specimen data; the tracking quality control unit is used for storing full-process information of the biopsy specimens by utilizing a block chain and dynamically evaluating and tracing quality information of the biopsy specimens; the integrated learning unit is used for constructing a multi-omics database, generating a tumor multi-omics knowledge graph and carrying out dynamic knowledge updating through data mining; and the decision management unit is used for sharing resources and monitoring authorized use records of the biopsy specimens. By integrating the block chain, federal learning and process reconstruction, full-chain upgrading of medical oncology specimens from'collection 'to'application' is realized, tumor diagnosis and treatment are promoted to step forward from'experience-driven 'to'data-driven', digitization, standardization and traceable management of biopsy specimen full-process information are realized, and the efficiency of medical oncology diagnosis and treatment is improved. And data support and decision support are provided for clinical practice and scientific research.

The disclosure relates to a 5G or 6G communication system for supporting higher data rates. The disclosure provides a method performed by a base station of an NTN. The method includes: transmitting, to a terminal, a first PDSCH in first slots, wherein the first slots include at least one slot where the first PDSCH is scheduled without HARQ feedback; receiving, from the terminal, channel quality information and feedback information, wherein the feedback information includes HARQ feedback information and RLC status information associated with a transmission of the first PDSCH in the at least one slot; predicting a MCS and a repetition number for a second PDSCH, based on the information associated with the channel quality information and the feedback information; transmitting, to the terminal, information on the MCS and information on the repetition number; and transmitting, to the terminal, the second PDSCH in second slots.

The invention relates to the technical field of building informatization, and particularly discloses a BIM construction quality dynamic monitoring method and system based on edge computing, and the method comprises the steps: S1, collecting the physical parameters of a construction site through an Internet of Things sensor according to a preset initial frequency, and transmitting the original data to an edge computing node; s2, preprocessing the original data through edge computing nodes to generate a structured data set; s3, comparing the structured data set with design parameters in a BIM model database to generate a quality inspection intermediate result; according to the method, automation, refinement and real-time performance of construction quality inspection are realized, the quality management and control efficiency and the problem response speed are remarkably improved, deep association and dynamic updating of quality information and the BIM model are ensured, a strong data driving capability is provided for risk early warning, decision support and archive management in the construction process, and the construction efficiency is improved. And the engineering quality is effectively guaranteed by dynamically optimizing the monitoring resources.

The invention discloses a tea processing big data analysis and quality tracing system and method, and relates to the technical field of agricultural informatization management. The tea processing big data analysis and quality tracing system is constructed, full-process data collection, real-time monitoring and accurate tracing from fresh leaves to finished products are achieved, key parameter data in the processing process are collected in real time through a sensor, key factors influencing the tea quality are extracted through an advanced data analysis algorithm, and the quality of the tea is accurately traced. According to the method, the quality of tea leaves can be accurately identified, quality abnormal points are accurately positioned, the problems of incomplete data acquisition, lagged analysis and inaccurate tracing in a traditional method are solved, meanwhile, a unique tracing code is generated for each processing batch, a full-process data mapping table is constructed, dynamic updating and real-time query of quality information are realized, the quality management level of tea leaf processing is remarkably improved, and the method is suitable for large-scale popularization and application. The requirements of consumers on transparency and high quality are met.

The embodiment of the invention discloses a quality monitoring method and device for a space anchor point, equipment and a medium. A specific embodiment of the method comprises the following steps: constructing an initial scanning area corresponding to a space anchor point based on the space anchor point corresponding to a space object; generating map information according to the initial scanning area and each visual frame corresponding to the spatial anchor point; according to the map information, monitoring index information is generated, and the monitoring index information comprises scene quality information; and generating quality feedback information of the space anchor point according to the monitoring index information. According to the implementation mode, the initial scanning area is constructed, the map information and the monitoring index information are generated, accurate space anchor point quality information is obtained, guidance and feedback are provided for a user, the stability and reliability of the space anchor point in AR application are improved, and the use experience of the user is enhanced.

A method for beam adjustment in a base station disclosed herein may comprise the steps of allocating a first resource for transmitting candidate beams determined on the basis of the number of sweeps and the number of subcarriers of which beams are squinted in an angle search space; transmitting, to a terminal, first resource information indicating the allocated first resource; mapping beam indexes to each of the candidate beams; transmitting, to the terminal, information about the beam indexes mapped to each of the candidate beams; transmitting a reference signal by using the first resource; receiving reception quality information for the reference signal from the terminal; and determining a transmission beam on the basis of the reception quality information.

The invention provides a signal transmission method, apparatus and device, a medium and a program product. The method comprises the steps of sending an access response message and an uplink measurement signal configuration signaling to a target terminal; receiving an uplink measurement signal periodically sent by the target terminal according to the uplink measurement signal configuration signaling; obtaining uplink channel quality information; the target terminal is indicated to report downlink channel quality information; determining a target main link and a target auxiliary link with the target terminal according to the uplink channel quality information and the downlink channel quality information, and sending a main link configuration signaling of the target main link to the target terminal; receiving a main link configuration completion signaling sent by the target terminal according to the main link configuration signaling; and sending a link resource configuration signaling to the target terminal through the target main link. According to the invention, the main link and the auxiliary link are determined based on the channel states of the two links, so that the resource utilization rate and the transmission reliability are effectively improved.

The invention provides a self-service zooming method of a camera system based on depth-guided image quality evaluation. The method comprises three core links of multi-scale depth perception, depth-guided image quality evaluation and joint-driven intelligent focusing control. By fusing lightweight feature coding and a multi-scale optimization strategy, accurate depth information is generated, and a spatial perception basis is provided for subsequent processing; the depth features and the image texture features are combined, a focusing fuzzy evaluation model is constructed, and reliable feedback of the imaging quality is achieved; a key focusing area is identified based on depth and quality information, a target focal plane is decided, and a lens is driven through an intelligent control algorithm to complete rapid and accurate focusing. Through collaborative fusion of depth perception and image quality evaluation, intelligent zoom control of the camera system in a dynamic scene is realized, the imaging consistency and focusing precision are effectively improved, the method is suitable for multiple camera devices such as smart phones, security monitoring and automatic driving, and the imaging experience of users is improved.

This application relates to the field of medical technology and provides a medical application scenario matching method, electronic device, and computer program product. The medical application scenario matching method includes: acquiring a medical image sequence; determining image information of the medical images in the medical image sequence, the image information including key information, which includes one or more of the following: imaging object information, phase information, lesion detection information, and image quality information of the corresponding medical image; and outputting at least one target application scenario adapted to the medical image sequence based on the key information. Embodiments of this application can prevent doctors from using unsuitable medical image sequences in specific application scenarios, thus helping to improve doctors' work efficiency.

The invention provides a large model dynamic adaptation and collaborative extraction method based on a unified framework. The method comprises the steps of preprocessing to-be-processed multi-modal data; dynamically identifying a modal type and carrying out adaptive coding to obtain a basic feature; the semantic anchor points are combined to generate fusion features through a parallel Transform encoder, feature distortion is synchronously monitored, and error correction is carried out; realizing cross-modal information interaction based on a cross-attention mechanism of an anchor point weight enhancement matrix, and generating a cross-modal feature vector; determining a differential fusion weight according to the type of the relationship between the modes, and obtaining a global fusion feature; semantic consistency is detected, and the weight is dynamically adjusted; semantic information is converted, fine-grained data is supplemented, and a preliminary result is formed; verifying and complementing attributes based on the knowledge graph; and generating a multi-granularity extraction result containing the global result and the fine-granularity grounding information. According to the method, efficient adaptation, accurate fusion and high-quality information extraction of multi-modal data can be realized.

The invention provides a building decoration quality analysis system based on a BIM technology, and belongs to the technical field of quality analysis, and the system comprises a collection module which is used for collecting related data of building decoration engineering to construct a standard three-dimensional BIM model; the association binding module is used for acquiring various data in the construction process in real time based on data acquisition equipment in the building decoration construction process, arranging the various data according to a preset format specification, and carrying out association binding on the data and corresponding building decoration units in the standard three-dimensional BIM model; and the quality analysis module is used for analyzing a deviation set of actual building decoration according to the predefined index of each building decoration unit, marking the corresponding building decoration unit to obtain single quality information and total quality information, generating a quality analysis report and outputting the quality analysis report. The problems of data splitting, fuzzy positioning and non-uniform standards in traditional quality control are solved, the efficiency and accuracy of quality analysis are improved, and a reliable basis is provided for quality tracing and rectification of decoration projects.

The disclosure relates to a fifth generation (5G) communication system or a sixth generation (6G) communication system for supporting higher data rates beyond a fourth generation (4G) communication system. A method of a base station in a wireless communication system includes transmitting, to a user equipment (UE), channel state information (CSI) report configuration information including configuration information configuring the UE to report precoding matrix index (PMI) quality information (PQI), transmitting a CSI-reference signal (CSI-RS) to the UE, and receiving, from the UE, a CSI and the PQI determined based on the CSI report configuration information and the CSI-RS.

The invention discloses an automobile aluminum ornament product quality inspection method based on big data, particularly relates to the field of quality management and quality inspection decision, and is used for solving the problem that existing aluminum ornament quality inspection depends on fixed rules and experience judgment and is difficult to dynamically optimize quality inspection performance and resource allocation in combination with after-sales quality information. According to the method, structured processing and damage mode division are performed on vehicle after-sales damage data, key process features are extracted in combination with production process time sequence data, and a defect early propagation model is constructed, so that prediction of occurrence probabilities of different defect types is realized; on the basis, a multi-layer hierarchical quality inspection strategy is dynamically generated according to the defect risk level, quality inspection execution cost and historical quality loss cost are integrated, and quality inspection performance indexes of a next production cycle are output through multi-objective optimization, so that the scientificity and decision value of quality risk management are improved while the cost is controlled, and the quality risk management efficiency is improved. Therefore, the management requirements of refined operation and cost constraint are met.

The invention discloses a method for adaptively reconstructing an NDVI (normalized difference vegetation index) missing value, which belongs to the technical field of data missing value reconstruction, and is characterized in that an NDVI time sequence is decomposed into trend, season and abnormal components through dynamic Kalman filtering to identify abnormal observation caused by factors such as cloud and aerosol, and reconstruction is completed by using a space-time low-rank structure. Compared with a traditional method, the method can generate a high-quality NDVI time sequence without external quality information, is suitable for observation products from different satellite sources, and further provides support for continuous monitoring and accurate description of long-term vegetation dynamics.

The invention discloses a compression and decompression method based on generic genome expression, and relates to the technical field of compression and decompression of DNA next-generation sequencing data, in particular to the compression and decompression method based on generic genome expression. The method aims at solving the problems that in the prior art, the capacity of processing population genetic diversity is insufficient, original sequencing quality information cannot be effectively restored during decompression, and memory occupation is too high during large-scale data processing. Obtaining a to-be-compressed sequencing sequence data file, a reference genome sequence and a thousand-person genome variation sample; obtaining a haplotype list, a variation list and a haplotype offset list corresponding to each window block; storing the window number, the haplotype number, the haplotype offset, the head and tail unmatched sequences, the current sequence name and the quality score character string into a single compression block; carrying out binding storage; completing the compression processing of the mass fraction; and obtaining each to-be-compressed sequencing sequence based on the result of the compressed part.

In various examples, one or more network links for transmitting data in a network may be selected based at least in part on a quality associated with the one or more network links. Link quality information associated with a plurality of links may be accessed and analyzed to determine which links to use for transmitting data. Link quality may be evaluated in combination with other link attributes to proactively select network links to minimize network disruption in the event of network equipment failure.

The invention discloses an intelligent management and control method based on the full life cycle of a steel structure, and relates to the technical field of intelligent management of steel structures. According to the method, the bridge steel structure digital intelligent manufacturing cloud platform is constructed, the steel structure full-life-cycle intelligent control method is designed based on the cloud platform, the component production technological process is randomly set through the graphical process designer and the cloud platform, information is automatically circulated in the component manufacturing process, project component data is clear and visible, and the construction efficiency is improved. The production management level and production benefits are improved, the technological process is optimized through the cloud platform, production tasks are distributed, teams and related production personnel receive the tasks through mobile phone APPs, production entry information, quality information and the like are filled in the production process, production component models and part models are visually browsed in the production process through the BIM technology, and the production efficiency is improved. The project condition is visually browsed on the project site by means of the BIM technology, and the installation progress of the project is mastered.

Time synchronization can be maintained during mobility of the UE by utilizing communications with a target base station. The target base station may receive a time delivery configuration or a time delivery area from the network. The time delivery configuration or a time delivery area is used to determine a delivery of time quality information, which can be utilized by the UE.

The invention discloses a real-time evaluation method and system for power production data quality, and belongs to the technical field of power generation industry data security. Classified data quality measurement points and overall data quality measurement points are created in a real-time database according to the types of measurement points in an I / O (input / output) list of a power production monitoring system; an evaluation rule is established on the basis of five items of data including effective measuring points, normal data quality information, non-out-of-range data, normal multi-selection measuring point data and timely data refreshing, the quality of the power production data is evaluated in real time according to the types of the measuring points, and the production data quality is comprehensively evaluated from the aspects of effectiveness, accuracy and timeliness of the data. Abnormal conditions in the production process are accurately positioned, the use value of data is guaranteed, and the requirements of power enterprises for big data analysis and data security management are met.

The invention provides a multipath P2P file reliable transmission method based on intelligent grading, which comprises the following steps: detecting available port resources and multipath network quality required by P2P transmission in a multipath P2P environment so as to construct a multipath resource pool, and performing targeted matching of an intelligent grading transmission mode on the multipath resource pool in combination with network quality information; calling the configured intelligent blocking model to block a to-be-transmitted file to obtain file blocks and generate a block state table, performing multi-path parallel cooperative transmission on the file blocks in cooperation with the matched intelligent hierarchical transmission mode, and synchronously monitoring the transmission state of each path on the file blocks to generate a transmission breakpoint record; and based on the configured abnormal degree intelligent grading model, determining an abnormal grading grade according to a transmission breakpoint record, and according to the abnormal grading grade, triggering the intelligent blocking model to adjust blocking parameters and synchronously adjust a multi-path resource pool to optimize matching of an intelligent grading transmission mode so as to implement file transmission based on intelligent grading control in a multi-path P2P (Peer-to-Peer) environment.

The invention discloses a PC component BIM twinborn collaborative exchange method based on deep learning, and aims to solve the problems that unstructured multi-modal data of a site or a factory is difficult to automatically identify the identity, the state and the quality of a PC component and accurately map the unstructured multi-modal data with BIM twinborn objects one by one, and increment updating capable of realizing multi-party collaborative exchange is difficult to form. According to the method, time synchronization and coordinate calibration preprocessing is carried out on image data, video data and point cloud data, component instance recognition and feature extraction are carried out by using a deep learning model, and component state information and component quality information are generated; analyzing a BIM twinborn model to obtain priori features such as a unique identifier of a component, a component type, a size parameter, a spatial position and component geometry, performing cross-modal feature fusion under priori guidance, generating a candidate matching relationship, and constructing an optimal transmission cost matrix containing feature difference and constraint penalty to obtain a soft matching matrix; one-to-one mapping is obtained by adopting matching confidence rejection and assignment solution, an identification result and an evidence data index are written into a twinborn object, component-level difference is carried out on the twinborn object and a previous version to generate evidence increment exchange data, and the technical effects of high-reliability automatic updating and traceable cooperative exchange of the component-level twinborn model are achieved.

According to the multi-source retrieval and agent collaborative decision-making medical question-answering system and method, a three-layer retrieval framework is constructed, a local medical knowledge base vector retriever, a PubMed intelligent retriever and an academic deep crawling device are integrated, dynamic fusion of multi-source heterogeneous medical information is achieved, and the medical question-answering efficiency is improved. Through the synergistic effect of the three, the information coverage range is remarkably expanded, more comprehensive and multi-dimensional evidence support is provided for various medical problems, the retrieval efficiency and accuracy of a professional database are effectively improved, and the use threshold of non-professional users is reduced. Meanwhile, the technical scheme of the invention supports dual-scene task processing, can meet diversified medical information requirements, provides reliable reference for diagnosis and treatment decisions of medical staff, also provides structured and high-quality information support for subject investigation of medical researchers, and powerfully promotes intelligence and precision of medical information processing.