1271 results about "Quality information" patented technology

The invention relates to the technical field of data processing, and discloses a BIM-based building construction quality information intelligent supervision system, which is used for improving the efficiency and accuracy of BIM-based building construction quality information intelligent supervision. The method comprises the following steps: a modeling module performs BIM modeling processing on a building engineering design drawing and building specification data to obtain a building twinborn body; the deployment module carries out field data acquisition system deployment on the building twinborn body to obtain a real-time data acquisition system; the detection module performs anomaly detection processing on the data acquired by the system to obtain a quality anomaly alarm and a priority processing level; the processing module carries out multi-dimensional visualization processing on the quality abnormity alarm and the priority processing level to obtain a visual interface; the decision-making module performs intelligent decision-making analysis on the quality abnormal information in the visual interface to obtain a target processing scheme; and the analysis module performs time sequence analysis and multivariable correlation analysis on the target processing scheme to obtain a dynamic quality evaluation report.

The invention provides a transmitting power control method and a TOC controller. The transmitting power control method comprises the following steps that S1, quality information of a channel is collected and obtained based on a system receiving end, the obtained quality information of the channel is evaluated, and the quality information of the channel comprises signal to noise ratio (SNR) data, received signal strength (RSSI), bit error rate (BER) data and link quality (CQI) data; the signal-to-noise ratio (SNR) data, the received signal strength (RSSI), the bit error rate (BER) data and the link quality (CQI) data can be obtained through real-time measurement or a prediction algorithm of historical data; and S2, monitoring the network load condition and user distribution in real time based on the system. According to the transmitting power control method and the TOC controller provided by the invention, the channel quality, the network load and the interference condition in a communication system are monitored in real time, and a self-adaptive adjustment mechanism is combined, so that the transmitting power can be accurately controlled, the communication quality can be effectively improved, the power consumption is reduced, and the TOC controller can stably work in a complex environment.

The invention relates to the technical field of digital management, in particular to an offshore platform component processing full life cycle quality tracing system which comprises a component unique identification code generation module, a multi-source processing data acquisition module, a quality judgment and tracing code association module, a holographic digital archive construction module and a three-dimensional visual tracing module. Wherein the component unique identification code generation module is used for generating a unique identification code; the multi-source processing data acquisition module is used for acquiring processing process data associated with the unique identification code of the component in real time; the quality judgment and traceability code association module is used for generating a quality judgment result based on a preset quality rule base; and the holographic digital archive construction module is used for generating a full-life-cycle data chain of the component. According to the method, the whole life cycle data chain with the unique traceability code as the index is constructed and mapped to the BIM model, and structural management and space-time visual traceability of the quality information of the offshore platform component are achieved.

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.

The invention relates to the technical field of quality management, and discloses an engineering project quality automatic evaluation system based on AIGC and BIM point cloud algorithms. Comprising the steps of preprocessing point cloud data and image data, identifying potential quality defects through a neural network identification model, constructing a BIM model and a point cloud model of a building structure, performing difference comparison on the point cloud model and the BIM model, evaluating the quality grade of the building structure, and generating a quality evaluation report of an engineering project. Compared with the prior art, the method can ensure that the point cloud model and the BIM model can accurately and consistently represent all the point locations of the building structure, and can accurately and visually evaluate and analyze the actual quality information of the building structure by performing difference comparison on the point cloud model and the BIM model. Therefore, the quality problem of the building structure in the real three-dimensional scene can be accurately evaluated, and the method has high timeliness and accuracy.

The invention provides a carbon footprint calculation-oriented multi-source heterogeneous data intelligent fusion method and device, and the method comprises the steps: obtaining the multi-source heterogeneous data of a product, the multi-source heterogeneous data comprising the basic information of the product and the carbon footprint data of the whole life cycle of the product; analyzing the data type of the multi-source heterogeneous data, and selecting an algorithm matched with the data type to convert the multi-source heterogeneous data into structured data to obtain a structure standardized data set; based on the loaded carbon footprint domain ontology, performing semantic extraction on the structure standardized data set to obtain a semantic standardized triple data set; performing quality evaluation on the semantic standardized triple data set, and constructing an initial carbon footprint data set including quality information based on a quality evaluation result; and performing conflict detection and conflict ablation on the initial carbon footprint data set to obtain a final carbon footprint data set of the product. Through the method disclosed by the invention, effective fusion of multi-source heterogeneous data in carbon footprint calculation can be realized.

The invention discloses a supply chain full-link risk early warning platform and method based on big data. The platform comprises a supply chain division module, a data acquisition module, a risk assessment module, an alternative supplier module, a risk path conduction module and a risk plan module. Supply chain information is divided according to link nodes, then multi-source data is collected, supplier quality information is generated in combination with supplier data, consumption behavior data and public opinion data, suppliers are bound, the number of alternative suppliers is dynamically adjusted based on the real-time fluctuation rate, and risk conduction paths containing path nodes of different risk levels are constructed. And finally, generating a risk plan adaptive to the link scene. According to the invention, through multi-dimensional data fusion and a dynamic threshold mechanism, the cascade effect capture capability of supply chain risk conduction is enhanced, and collaborative improvement of risk early warning timeliness and plan accuracy is realized.

The invention belongs to the technical field of video communication processing, and particularly relates to an image quality improvement method for a video call of a fusion scheduling system, which comprises the following steps: performing quality evaluation on collected video frames, determining image quality information according to a quality evaluation value, a preset threshold value and statistical historical video frame quality, and sending the image quality information to a server; and then the code rate and the resolution used by the current video coding are obtained, and the video coding parameters are dynamically adjusted based on the image quality information, the code rate and the resolution, so that the self-adaptive video coding parameter adjustment based on the video content is realized, and the optimal video quality and transmission efficiency are achieved. According to the invention, the video data in the video call of the converged communication scheduling system is processed, and the problems that the image quality is reduced and the jamming is obvious are eliminated, so that high-definition and smooth video image quality is provided, the user experience is improved, and the use requirements are met.

In some implementations, a network device may receive an indication of a next-next-hop of the network device and link quality information of the next-next-hop. The network device may transmit network traffic based on the indication of the next-next-hop and the link quality information of the next-next-hop.

The invention discloses a holographic media transmission congestion prediction system based on a programmable network, and particularly relates to the technical field of transmission congestion prediction.The holographic media transmission congestion prediction system comprises the steps that sub-path division is conducted on a holographic media data transmission task path, network performance information of a switch and quality information of holographic media data are obtained, and a path congestion model is constructed; generating a path congestion influence index, evaluating the congestion influence degree of the network performance information of the switch and the quality information of the holographic media data on the holographic media data transmission sub-paths, and timely responding to the potential congestion hidden danger existing in the holographic media data transmission task path according to the congestion influence degree of the plurality of sub-paths. According to the method, the congestion condition is accurately evaluated, sudden congestion in a network is quickly and accurately sensed and dealt with, and when a holographic media data transmission task path has a potential congestion hidden danger, based on a shortest path optimization algorithm, an optimal transmission path is quickly selected, a congestion area is avoided, and the transmission efficiency is improved.

Embodiments of the present disclosure relate to methods, devices and computer readable media for communication. A terminal device determines CSI and channel quality information based on a measurement on a set of RSs from a network device, and determines a compression method at least based on the channel quality information. The terminal device compresses the CSI based on the compression method, and transmits, to the network device, the channel quality information and the compressed CSI. The network device determines the compression method applied for the compressed CSI based on the channel quality information, and recoveries CSI based on the compressed CSI and the compression method. In this way, CSI feedback overhead and compression performance may be balanced.

The invention provides a low-temperature cutting machining process monitoring and quality feedback control system, comprising: a sensor detection module comprising a vibration sensor, a temperature sensor, an acoustic emission sensor, a pressure sensor, a flow sensor and a structured light sensor; the signal processing and analyzing module is used for performing preprocessing, decomposition and feature extraction on the signal data acquired by each sensor and performing surface topography reconstruction on the point cloud data to obtain processing signal features and a processing surface three-dimensional topography model; the machining state and quality analysis module is used for analyzing the machining signal characteristics and the machining surface three-dimensional shape model and judging the machining state and the machining quality of the part to obtain machining state information and machining quality information; and the process parameter adjusting module is used for comparing and identifying the processing state information and the processing quality information with existing data in a database, so that process parameters are adjusted according to expert knowledge and process rules in the database.

The invention discloses a target attribute identification method, electronic equipment and a computer readable storage medium, and the method comprises the steps: obtaining a current frame, and determining a scheduling interval state matched with the current frame, and a motion information state and a quality information state matched with a target in the current frame; the scheduling interval state comprises preferentially identified attributes in the current frame, the dependence condition of part of the attributes is a moving target in the video frame, and the dependence condition of part of the attributes is the image quality of the target in the video frame; determining an identification priority corresponding to a target in the current frame based on the scheduling interval state, the motion information state and the quality information state, and selecting at least part of the target in the current frame as a target to be identified according to the identification priority; and obtaining attributes of the to-be-identified target, and obtaining an attribute identification result of at least part of the target in the current frame based on the identified attributes in the current frame and the identified attributes in at least part of historical frames before the current frame. According to the scheme, the precision and comprehensiveness of target attribute recognition can be improved.

The invention belongs to the technical field of engineering intelligent quality monitoring and management, and particularly relates to a hydropower engineering civil engineering quality supervision system capable of automatically collecting and monitoring. Comprising an engineering data multi-point automatic acquisition platform, a civil engineering quality automatic monitoring application platform, an engineering quality analysis engine, a design model import module and an engineering quality monitoring data integration analysis platform which are connected in sequence. According to the engineering data multi-point automatic acquisition platform, an acquisition device can be carried by a constructor, and engineering quality information can be automatically scanned and acquired after the constructor enters a specified work area; according to the automatic civil engineering quality monitoring application platform, on the basis that the engineering quality analysis engine provides functions, the monitoring modules are used for analyzing the collected information, and whether the civil engineering of each part meets the corresponding quality management requirement or not is judged; and the result is published to a project quality monitoring data integration analysis platform for integration to form a quality management report.

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 provides a titanium dioxide calcination control method, device and system, and relates to the technical field of automatic control, and the control method comprises the steps: obtaining the current batch production information of to-be-produced titanium dioxide and the corresponding preset batch quality information; inputting the current batch production information and the corresponding preset batch quality information into the calcination control model to obtain a final control strategy; and controlling the rotary kiln system according to the final control strategy. Through accurate data analysis and processing, the method can optimize the calcination process, so that the final quality of titanium dioxide is improved.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive control signaling indicating a channel state information (CSI) reporting configuration for time-domain CSI reporting associated with a set of time intervals and a CSI reference resource, where the CSI reference resource is included within one of the set of time intervals. In other words, the CSI reporting configuration may define an association, alignment, or arrangement between the CSI reference resource and the set of time intervals. The UE may perform measurement of, prediction based on, or both, one or more CSI-RSs in accordance with the CSI reporting configuration. The UE may then transmit a time-domain CSI report indicating time-domain CSI associated with the set of time intervals, where the alignment enables the network to determine which time intervals correspond to the respective time-domain CSI.

The invention discloses a remote intelligent monitoring alarm device and method for drying equipment, and relates to the related field of alarm devices, and the device comprises an atomization image collection module which is used for collecting atomization images, and carrying out the recognition to obtain the feature distribution of liquid drops; the feature array acquisition module is used for acquiring a hot air feature array, a temperature array and a humidity array; the drug atomization drying prediction module is used for predicting drug atomization drying; the first medicine drying quality information acquisition module is used for acquiring first medicine drying quality information; the accumulative iteration prediction module is used for carrying out accumulative iteration prediction; and the alarm module is used for judging whether the accumulated predicted time length is greater than the inertia adjustment time length, if so, not giving an alarm, and if not, giving an alarm. The technical problems that the alarm information is not accurate enough and the actual operation state of the drying equipment is difficult to accurately reflect in the existing remote monitoring of the drying equipment are solved, and the technical effect of improving the remote monitoring capability and the alarm accuracy of the drying equipment is achieved.

The invention provides a cloud-edge collaborative intelligent tool magazine tool life prediction method and system, and relates to the field of fault prediction and health management.The method comprises the steps that in a cloud data center, a current tool health index is obtained according to workpiece machining quality information and tool surface image evaluation; according to the current cutter health index, a cutter damage monitoring and early warning mechanism is configured and sent to an edge processing unit; according to the adaptive monitoring frequency, a sensor is controlled to conduct data monitoring, multi-source monitoring data are judged according to the adaptive early warning indexes, if not triggered, dynamic updating of a tool damage monitoring and early warning mechanism is conducted in an iteration mode, and if triggered, tool damage early warning is conducted. The invention aims to solve the technical problem that the accuracy and the reliability of tool damage early warning are insufficient due to the fact that a traditional early warning mechanism is difficult to adapt to the dynamic change of a tool machining state, and can improve the adaptation degree of a monitoring early warning mechanism and the tool machining state and remarkably improve the accuracy and the reliability of early warning by introducing a dynamic monitoring early warning mechanism.

The invention provides a video conference method, system and device and a storage medium, and relates to the technical field of network communication, the method comprises the following steps: obtaining network performance information, user behavior information, video quality information and retrieval service use information, the retrieval service use information comprising a retrieval service calling state; taking the network performance information, the user behavior information and the video quality information as input, and obtaining a predicted code rate through a pre-constructed first parameter adjustment model; judging whether the retrieval service is called or not according to the calling state of the retrieval service, and if not, adjusting the video parameters according to the predicted code rate; and if yes, obtaining a preset resolution and a preset frame rate, calculating a video code rate to obtain a target code rate, and adjusting the video parameters according to the target code rate. According to the method, the optimal video code rate is predicted in the conference process through the pre-trained first parameter adjustment model, and the video data transmission parameters are adjusted according to the retrieval behavior of the user, so that the information acquisition efficiency of the user is improved.

The invention relates to an edge weak network-oriented wireless ad hoc network link quality discovery method, which comprises the following steps of: acquiring signal intensity of neighbor nodes through a sliding window, calculating fluctuation amplitude of the signal intensity, and judging a link stable state based on a preset threshold value; dynamically adjusting the duration of the HELLOINTERVAL timer according to the stable state of the link, and broadcasting the Hello request message at the frequency corresponding to the adjusted duration of the timer; after the neighbor node receives the Hello request, multi-dimensional service quality information is calculated, and the multi-dimensional service quality information subjected to differential coding compression is returned to the request node through a Hello response message; and after the request node receives the Hello response message, extracting and updating the link quality data in the local neighbor information table, and dynamically updating the link quality data based on the received Hello response message. The resource waste in the edge weak network is effectively reduced, the network efficiency is improved, the link quality information is ensured to be accurate and reliable, and the network robustness is enhanced.

A wireless communication method includes: determining a measurement result of at least one cell; and in a case where a cell whose measurement result meets a corresponding condition exists in the at least one cell, performing, through a layer 1 or a layer 2, any one of: reporting cell quality information of the at least one cell, reporting cell quality information of at least one first candidate cell, and triggering a handover process.

The invention relates to an intelligent welding robot control method and system based on a deep learning model, and relates to the technical field of welding robos.The intelligent welding robot control method comprises the steps that image detection information generated when a workpiece is welded and welding parameter information of a welding gun are obtained; analyzing and determining a welding position point according to the welding parameter information; based on the welding position points, welding spot image information corresponding to the welding position points and original image information when welding is not conducted are determined from the image detection information; analyzing and determining quality demand information according to the original image information; welding spot quality information is analyzed and determined according to the welding spot image information; and quality adjustment control information is determined according to the deviation condition between the welding spot quality information and the quality demand information, and the quality adjustment control information is output to the welding robot for welding adjustment. The welding device has the effect of improving the welding efficiency.

A cross reality system that provides an immersive user experience shared by multiple user devices by providing quality information about a shared map. The quality information may be specific to individual user devices rendering virtual content specified with respect to the shared map. The quality information may be provided for persistent coordinate frames (PCFs) in the map. The quality information about a PCF may indicate positional uncertainty of virtual content, specified with respect to the PCF, when rendered on the user device. The quality information may be computed as upper bounding errors by determining error statistics for one or more steps in a process of specifying position with respect to the PCF or transforming that positional expression to a coordinate frame local to the device for rendering the virtual content. Applications running on individual user devices may adjust the rendering of virtual content based on the quality information about the shared map.

The invention discloses a hydraulic engineering full-link core drilling quality detection intelligent management method and system, and the method comprises the steps: S1, selecting a drilling position for drilling and coring, and obtaining a sample; s2, sample label information is read and synchronized to an LIMS system, electronic tracking codes are generated, and classified storage is carried out according to preset positions; s3, scanning the code to obtain sample information, verifying the identity of the sample, and testing the sample after the sample is correct; s4, after sample detection is finished, encrypting sample data, transmitting the encrypted sample data to an LIMS system, and generating a sample report through a Web application program in combination with an NLG; and S5, pushing the detection report to the representative unit through a notification mechanism, and synchronously sending the report to the representative designated mailbox to complete transmission of report information. According to the method, a whole-process intelligent ecological system from a drilling site to laboratory detection to report delivery is formed, the space-time limitation and technical barriers of information acquisition are broken, and the timeliness and transparency of project quality information transmission are improved.

A no-reference video assessment framework employs a multi-resolution input representation and a patch sampling mechanism on a video having multiple frames 302 to aggregate information across different granularities in spatial and temporal dimensions. The framework effectively models complex spacetime distortions that occur in user generated content-type videos. According to one aspect, the framework embeds video clips 302 as multi-resolution patch tokens using complementary modules. This includes a multi-resolution video embedding module 322, and a space-time factorized Transformer encoding module 324, 326. The multi-resolution video embedding module 322 is configured to encode multi-scale quality information in the video, capturing both global video composition from lower resolution frame and local details from larger resolution frames. The space-time factorized Transformer encoding module 324, 326 aggregates the spatial and temporal quality from the multi-scale embedding input, and is configured to output a quality score 330 for the input video.

The invention discloses a knowledge base-based field intelligent decision-making method and system, and belongs to the field of equipment operation and inspection. The invention is oriented to the field of equipment operation and inspection, combines advanced technologies and ideas such as layout analysis, named entity recognition, text generation, large language model fine tuning, text classification and target detection, and constructs a knowledge base-based field intelligent decision method and system for efficient processing and decision support of equipment fault information. The method comprises the following steps: constructing and organizing multi-source heterogeneous data, and integrating high-quality information into a maintenance knowledge base; on the basis, generating a self-adaptive text maintenance strategy by utilizing domain knowledge and responding to a dynamic operation context; and finally, fusing image modal data through an anomaly detection method, accurately positioning a fault, and improving the generation quality of a text maintenance strategy. According to the method, a complete process from multi-source heterogeneous data to multi-dimensional strategy generation is realized, key problems in equipment maintenance are effectively solved, and efficiency and accuracy are remarkably improved.

The invention provides a wireless resource scheduling method and device, equipment, a medium and a program product, and relates to the field of wireless transmission, and the method comprises the steps: collecting a current network resource use condition; receiving measurement data sent by the terminal during operation of the target service, and evaluating the service quality of the target service based on the measurement data to obtain service quality information; synchronizing the service quality information and the network resource use condition to a first control unit so as to generate service quality target information through the first control unit; calling a second control unit to generate a first resource scheduling instruction based on a preset artificial intelligence model in combination with the service quality target information, the service quality information and the configuration information of the terminal; the first control unit is a non-real-time wireless access network intelligent control unit, the second control unit is a near-real-time wireless access network intelligent control unit, and the first resource scheduling instruction is used for scheduling wireless resources for the terminal. And the response speed of the base station to the wireless resource scheduling is improved.

A method for enhancing summary reply capability of an intelligent question-answering system based on graph clustering comprises the following steps: step 1, acquiring text data of a document, and converting unstructured text data into a structured text information graph; step 2, performing hierarchical clustering on the text information atlas, and dividing the text information atlas into a plurality of different information communities; step 3, generating an information abstract for each information community, selecting an information abstract similar to a user question, and generating a candidate document set; and step 4, integrating the candidate document set to obtain a final summary reply. According to the method, firstly, the text information atlas and the graph clustering technology are creatively combined, and LLM optimization is supplemented, so that the summarization reply capability of the intelligent question-answering system is remarkably improved. Secondly, the deep semantic structure and the document content are organically combined, so that the recall quality, the information comprehensive efficiency and the reply continuity of the intelligent question-answering system are improved, and efficient and reliable technical support is provided for application of the intelligent question-answering system in a complex task scene.

Provided are phase tracking reference signal (PTRS) configuration, determination and information feedback methods and devices. The PTRS configuration method includes: transmitting, by a first node, the control information to a second node, where the control information is used for indicating a configuration parameter of the PTRS to the second node and the PTRS is transmitted by the first node or the second node. The second node determines the configuration parameter of the PTRS through the control information transmitted by the first node and / or an agreed implicit rule. A third node transmits control information to a fourth node, where the control information is used for feeding received power or quality information of the PTRS back to the fourth node.