13 results about "Track analysis" patented technology

The application discloses a food full-link quality deterioration tracing method and system, a medium and a product, and relates to the technical field of food quality tracing.The method is implemented, and a sensory description label in consumer feedback information is extracted by a tracing system; with the aid of a preset food quality knowledge graph, accurate mapping of subjective sensory information and objective physical and chemical indexes is realized, and the problem that subjective feedback and objective data are disconnected in a traditional tracing system is solved.The tracing system carries out dynamic deduction on food full-link monitoring data through a preset quality deterioration dynamics model, and upgrades food quality deterioration from static threshold judgment to dynamic numerical evolution track analysis, so that the cumulative deterioration effect of each circulation link can be quantified.The tracing system screens food quality deterioration responsibility links based on average deterioration rate and link deterioration increment, traces deterioration inducement of the responsibility links in combination with the preset food quality knowledge graph, accurately defines the deterioration responsibility and traces the reasons, and improves the tracing efficiency and accuracy.

This invention relates to a data processing method for single-event multi-track detection based on a time projection chamber, belonging to the field of particle track analysis technology. The method includes the following steps: S1: Denoising preprocessing of the original points; S2: Reconstructing and correcting all tracks in the event using three-dimensional iterative Hough transform and weighted least squares method, outputting the linear equation of each track; S3: For a given straight line, calculating the distance from all points in the event to the straight line, setting a distance threshold, and considering points less than the threshold as points located on the straight line, thereby achieving track splitting; S4: Overfitting processing of the split tracks. This invention improves the processing effect of time projection chamber and other particle track detectors on single-event multi-track detection, providing a practical solution for high-energy particle multi-track detection and identification.

The application provides a student homework submission state tracking analysis method, comprising: extracting subject coherence context, content growth, offline import mark and session start and end time stamp from homework editing sessions before and after switching to form an initial editing session archive; according to the connection map, it is judged whether the potential breakpoint exists offline editing and the connection compensation of the cross-device editing track is obtained, the large block content growth appearing in the switching gap ending period is included as a positive factor to form an adjusted integrity score curve; and according to the breakpoint identification result, the subject context of the paragraphs before and after the breakpoint is re-collected and the content growth is re-calculated to obtain the verified subject coherence context and content growth sample, and a verification confirmed homework archive is formed.

The present application relates to the technical field of locomotive blind area early warning, and particularly relates to a locomotive lookout blind area visual early warning system, comprising: a data acquisition module, configured to collect image data of the locomotive in real time; a data analysis module, configured to determine whether the pantograph offset is out of limit based on the pantograph offset; a contact analysis module, configured to determine whether the contact stability meets the standard based on the contact pressure fluctuation value, and to increase the pantograph spring tension according to the difference between the contact pressure fluctuation value and the first contact pressure fluctuation threshold; a line analysis module, configured to determine whether the catenary line recovery is qualified based on the line recovery time length, and to increase the preset interval according to the ratio of the preset line recovery time length and the line recovery time length; and a track analysis module, configured to determine whether the pantograph and the catenary line match meet the standard based on the flatness similarity, and to decrease the lowering pantograph spring tension according to the relative difference between the flatness similarity threshold and the flatness similarity, the present application improves the accuracy of the locomotive lookout blind area early warning.

This invention provides a method and system for tracking and analyzing power load demand, belonging to the field of power system technology. The method acquires actual user power load data and target load instructions within the current dispatch cycle, calculates the load error sequence and identifies deviation intervals to obtain current user electricity consumption behavior segments. These segments are then compared one by one with a historical database of electricity consumption behavior segments from the same period, identifying local deviation intervals and determining morphological shift characteristic patterns. A load feature reference template is obtained through multiple feature filtering. Based on the load feature reference template and the target load instructions, the target load trajectory is reconstructed. This allows for tracking and analysis of user power load in the next dispatch cycle, obtaining load demand tracking results. The power load demand tracking and analysis method provided by this invention can adapt to dynamic changes in user power load characteristics, effectively improving the accuracy and real-time performance of power load demand tracking, thereby enhancing the reliability of power grid dispatch operation.

The present invention relates to a comprehensive framework for real-time quality monitoring, control, and optimization in additive manufacturing (AM) processes, notably Laser Powder Bed Fusion (LPBF). The system combines high-speed imaging, sophisticated mathematical modeling, and machine learning techniques to analyze track geometric attributes and melt pool characteristics, including width, height, depth, wetting angles, and hatch spacing. Novel dimensionless wetting shape factors are introduced to characterize track profiles, and equations for acute and obtuse contact angles are derived, with additional exploration of the interplay between powder layer thickness and track dimensions through quadratic equations describing hyperbolic relationships.

The application relates to the technical field of construction control, and particularly discloses a large-span cable-supported beam construction control method and system based on deformation data. The method comprises the following steps: acquiring cable force time sequence data and node deformation data in a tensioning construction process, and establishing a correlation deviation sequence; performing local relaxation deviation evolution track analysis on the correlation deviation sequence, extracting a local relaxation candidate interval, and screening candidate components through track similarity determination; then, a cause-and-effect tracing model is constructed and the candidate components are verified, and a prestress loss amplitude and a time domain distribution of local relaxation are output; a dynamic supplementary adjustment control strategy is formulated based on the quantitative results, and the prestress loss is offset through staged tensioning supplementary adjustment. The system comprises a deviation analysis module, a component extraction module, a component verification module and a dynamic supplementary adjustment module. According to the application, local relaxation is identified and loss is quantified, unbalance in supplementary adjustment is reduced, and the stress and deformation of the large-span cable-supported beam structure meet the design expectation.

The present application relates to the technical field of asset management, in particular to an enterprise dormitory asset RFID identification and life cycle management system, which solves the problem that the existing enterprise asset management relies on the mode of manual account registration and regular manual inventory, and the management personnel needs to check and register the assets one by one, which is time-consuming and laborious and prone to errors, and the maintenance of the assets depends on manual memory or regular inspection, and there is a lack of effective early warning mechanism, comprising an enterprise dormitory asset supervision platform, the enterprise dormitory asset supervision platform is built-in with an asset full life cycle management model, and the enterprise dormitory asset supervision platform comprises an asset registration and binding module, a real-time positioning and inventory module, a state monitoring and early warning module and a full life cycle tracking analysis module. Through the automatic collection advantage of the RFID technology, the present application can build an asset full life cycle digital management system and improve the efficient management of the enterprise dormitory assets.

This invention relates to the field of commercial information processing technology and discloses a method and system for evaluating advertising effectiveness based on eye-tracking data visualization. Addressing the problems of existing evaluation methods' difficulty in objectively quantifying visual attention, and the high cost, complex operation, and lack of customized advertising analysis functions of general-purpose eye-tracking analysis software, this invention configures an eye-tracking device and performs multi-point calibration to simultaneously collect data such as fixation point coordinates, duration, and pupil diameter. Through multidimensional cleaning, fixation event extraction, and coordinate normalization, a fixation heatmap is generated using Gaussian kernel density estimation, and a fixation trajectory map is generated through temporal interpolation. The invention also automatically calculates indicators such as the proportion of fixation duration in the core focal area, overlap, and the proportion of blind spots. This invention achieves full automation from data collection to report generation, objectively and accurately revealing the distribution of visual attention in advertising, transforming physiological data into intuitive design basis, and providing a standardized and repeatable quantitative tool for advertising effectiveness evaluation.

This application relates to the field of data processing technology, and in particular to a test chain state tracking and analysis method, system, and storage medium based on artificial intelligence. The test chain state tracking and analysis method includes: acquiring raw logs of continuous integration and continuous deployment corresponding to a target test chain; preprocessing the raw logs to obtain preprocessed log text; inputting the preprocessed log text into a large language model to obtain structured information representing the overall state of the target test chain; and updating the state information associated with the target test chain based on the structured information. This application can accurately and quickly extract complex information, solving the problem of unreliable extraction of complex information in existing technologies.

In one embodiment, an analytics tracking system is disclosed that comprises an interface in electronic communication with one or more consumer devices configured to enable a corresponding consumer to access the interface via a mobile application. The system further comprises a consumer data store comprising data regarding at least one consumer, a movement data store comprising data regarding locations and / or movement of the at least one consumer, and an online behavior data (OBD) data store comprising data associated with browsing and / or application data histories of the at least one consumer. The system further comprises a dynamic analysis system configured to analyze data from the consumer data store, the movement data store, and the OBD data store to generate at least one of custom information for the at least one consumer or identify a location for presentation of information to the at least one consumer.

The application discloses a cold-chain pork quality dynamic evaluation method and system based on multi-source data fusion, relates to the technical field of data processing and intelligent evaluation, and comprises the following steps: collecting multi-source signal information in the whole process of cold-chain transportation, arranging the multi-source signal information according to a unified time sequence, continuously arranging all signals on a time axis, and forming a complete dynamic record; extracting each time interval and signal amplitude change track in the formed dynamic record, analyzing a signal section with repeated wave peaks in a short time, and generating preliminary data of reflection interference determination. Through time sequence arrangement and dynamic correlation of multi-source signals, a wave peak track analysis mechanism is constructed, real-time identification and correction of reflection interference are realized, the continuous and accurate gas concentration curve is ensured, a list of reflection source positions is generated, the numerical distribution of repeated fragments is adjusted, false fluctuations are eliminated, and the stability and reliability of cold-chain pork quality evaluation are improved.