812 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 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.

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.

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 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 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.

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.

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.

A system may receive, from a client device, a query requesting quality information of a target device. The system may access a set of data records associated with the target device, pre-process the set of data records for extracting raw data associated with the target device from the set of data records, and convert the pre-processed data to normalized data using a first large language model (LLM). The system may apply a second LLM to the normalized data for generating an output result, which includes the requested quality information of the target device. Applying the second LLM may include: retrieving contextual information related to the target device; generating a prompt to the second LLM, the prompt comprising at least the normalized data, the retrieved contextual information, and the query requesting quality information of the target device; and providing the generated prompt to the second LLM to receive the output result.

The invention discloses a modulation parameter adjustment method, relates to the technical field of frequency modulation, and aims to solve the problem that the communication quality and reliability of a communication system are affected due to poor modulation accuracy of the frequency of the communication system. Comprising the steps that signal quality information, channel capacity and environment information are collected, the signal quality information comprises the signal-to-noise ratio, the bit error rate and the frequency offset, and the environment information comprises the environment temperature value, the environment humidity value and the electromagnetic interference frequency; determining the channel quality according to the signal-to-noise ratio, the bit error rate, the frequency offset and the channel capacity; comparing the environment information with standard environment information to obtain a comparison result, and determining whether the environment information affects channel quality according to the comparison result; if it is determined that the environmental information affects the channel quality, determining an influence parameter according to the environmental information, and determining a channel evaluation parameter through the influence parameter and the channel quality; and determining whether to adjust the carrier frequency modulation parameter according to the channel evaluation parameter.

Provided in the embodiments of the present disclosure is a wireless communication method, which includes: a terminal device acquires a third data set, where the third data set includes identification information of spatial filters of K3 time units and link quality information of K3 time units; inputs the third data set into a second network model, to output second prediction information, where the second prediction information includes identification information of spatial filters of F3 time units and link quality information of F3 time units, and at least one checkpoint is set within the F3 time units; and determines, according to a link quality check result of a first checkpoint, whether to use spatial filters output by the second network model within n time units after the first checkpoint, wherein the first checkpoint belongs to the at least one checkpoint.

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 discloses a link congestion processing method, a communication system and a related device, and belongs to the technical field of communication. The method is applied to a first network device in a first network, the first network device and a second network device are traffic entrance devices of the first network, the first network device is connected with a third network device in a second network through a first link, and the second network device is connected with a fourth network device in the second network through a second link. The method comprises the following steps: acquiring quality information of a first link and quality information of a second link; and if the traffic adjustment condition is determined to be satisfied based on the acquired quality information, adjusting the target traffic on the first link to the second link. By adopting the scheme, the flow inlet equipment can be correspondingly configured, and the deployment is simple. According to the scheme, the routing on a plurality of links is not required to form load sharing, and the routing does not need to be frequently changed, so that the flooding of the whole network of the routing cannot be caused.

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.

The invention provides a confidence evaluation method and device, electronic equipment and a storage medium. The method comprises the steps that key information and semantic features of a query instruction are accurately captured by query features; the search result features comprehensively represent the core key points and the text features of the document; semantic difference features are determined based on the semantic difference between the query instruction and the search result, text difference features are determined based on the text difference between the query instruction and the search result, and the internal relation between the query instruction and the search result in the semantic and text level is deeply mined; the query features, the search result features, the semantic difference features and the text difference features can comprehensively reflect the matching degree and quality information of the query instruction and the search result, so that confidence coefficient prediction is performed based on the query features, the search result features, the semantic difference features and the text difference features to obtain a confidence coefficient score result; the performance of the RAG retrieval module can be efficiently evaluated, and dependence on external reference data and a complex large language model is got rid of.