12 results about "Information engineering" patented technology

This invention discloses a method, apparatus, and related equipment for detecting defects in inkjet-printed OLED dry film, belonging to the field of optoelectronic information engineering. The method uses a laser with a spot size smaller than the pixel slot to irradiate the OLED panel. A detector array consisting of multiple sub-units receives the reflected and scattered light generated after irradiation. Then, the photocurrent intensity of each sub-unit is acquired. The photocurrent intensity of the sub-unit corresponding to the reflection center at the current moment is compared with that at the previous moment. When the change exceeds a first preset range, abnormal sub-units are identified based on their photocurrent intensity. Based on the number, location distribution, and photocurrent intensity of the abnormal sub-units, defects are eliminated or the defect type is determined. This method improves detection efficiency in industrial production scenarios without occupying production time, can be integrated with production cycles, and does not require additional large-scale evaporation or testing equipment. It is an excellent method for improving the overall yield of inkjet-printed OLED panels.

The present application relates to the field of transportation information engineering, and more particularly to a traffic hub crowd counting method and system based on multi-scale cross-region graph convolution driving, wherein the method comprises: constructing a crowd counting sequence; constructing three time series density map identification evaluation standards of spatial consistency, time sequence continuity and scale adaptability; proposing a multi-scale cross-region graph convolution network model to train and test the traffic hub crowd counting; and performing instance verification of the traffic hub crowd counting. The proposed model is applied to a series of empirical data sets for training and testing, which proves that it can achieve better demand prediction performance than the baseline model.

This invention relates to the field of traffic information engineering and control technology, and is a parallel dual-master redundancy switching system for track electronic actuators and its implementation method. The system includes a Series I track electronic actuator, a Series II track electronic actuator, and a wiring backplane. Both Series I and Series II track electronic actuators are plugged into the wiring backplane. By setting up a parallel dual-master redundancy switching system for Series I and Series II track electronic actuators, the track status information collected by both systems is the same when the two systems collect current, ensuring consistency. Moreover, the parallel dual-master redundancy switching system has the same matching impedance and consistent acquisition circuit parameters under different operating states such as dual-system and single-system (except when both systems are faulty), eliminating the problem of asynchronous states between the two systems after impedance matching, and reducing the influencing factors on the acquisition of track section status.

This invention proposes an information-based engineering supervision method and system based on big data. The method includes: acquiring a set of supervision record data and engineering stage identifier data; based on the engineering stage identifier, generation timestamp, and record type of each supervision record, combined with the boundaries, order, and allowed record types of the engineering stages, selecting records that meet the conditions of stage consistency and prior existence to form a set of usable supervision records; merging records according to the order of engineering stages, and sorting them according to timestamp and record identifier within each stage to construct a supervision process representation structure; based on this structure, performing coverage and order consistency checks on the set of necessary engineering stages corresponding to the target supervision conclusion, generating a determination result of the validity of the supervision conclusion; and outputting the engineering supervision handling status accordingly, controlling the progress or locking of engineering stages, and improving the automation and traceability of supervision.

This invention relates to the fields of remote sensing and geographic information engineering technology, and particularly to a land use change identification method driven by multi-source spatial data. The method includes: acquiring multi-source spatial data covering a target area and performing standardized preprocessing to generate a priori land use map as the data assimilation background field; constructing a land use abundance change process model based on material conservation, and obtaining a spatial discrete framework through adaptive grid deformation; establishing a multi-source differentiable observation operator, and solving the core parameters through four-dimensional variational assimilation with land use conversion constraints to complete land use change identification and rolling dynamic monitoring. In this invention, land use change is modeled as a continuous physical process, overcoming the limitations of traditional discrete-time hard classification and comparison methods. This effectively improves the temporal coherence of change identification and the consistency of multi-source data fusion, meeting the needs of high-precision long-term land use dynamic monitoring, and providing stable and reliable data support for natural resource surveys, monitoring, and land spatial management.

The present application relates to geodetic surveying, geographic information engineering technical field, specifically point to a kind of geodetic surveying report generation system based on artificial intelligence, surveying specification analysis engine output specification quantization rule set synchronous transmission to each module;Multi-source surveying data acquisition module transmits multi-source spatial data and acquisition full parameter to adaptive pose solution module and penetrating responsibility traceability module;Adaptive pose solution module exports point cloud data to compliance check and report generation module, unqualified data back transmission correction;Qualified data are sent into perception meta-learning module, and its processing result is checked again, and unqualified back transmission, and the report content and full-link compliance check record synchronous transmission to penetrating responsibility traceability module.The present application quantizes and disassembles surveying specification and uniformly executes, adaptive pose solution adapts project accuracy, meta-learning multi-task processing depth binding specification, through process check back transmission and full-link traceability, clear error component and responsibility attribution.

This invention discloses a knowledge-driven intelligent moxibustion scheme generation method and system, belonging to the interdisciplinary field of traditional Chinese medicine information engineering and artificial intelligence. First, this invention collects Zhou Meisheng's moxibustion monographs and medical records to construct a domain-specific knowledge graph containing moxibustion sensation features, completing the digital representation of the academic thoughts of this renowned traditional Chinese medicine practitioner. Second, it constructs a graph neural network reasoning model incorporating a multi-head attention mechanism to simulate Professor Zhou Meisheng's diagnostic and treatment thinking in moxibustion. Finally, it generates personalized moxibustion schemes, providing interpretability through knowledge graph path backtracking and achieving closed-loop dynamic control of the scheme based on real-time moxibustion sensation feedback. This invention solves the problems of difficulty in inheriting Zhou Meisheng's moxibustion experience and the lack of interpretability and dynamic control capabilities in intelligent moxibustion decision-making. It can be directly embedded into intelligent moxibustion devices and primary healthcare systems, promoting the standardization and large-scale application of high-quality traditional Chinese medicine moxibustion resources.

This invention belongs to the field of industrial safety and risk management technology, specifically disclosing a safety risk prevention system and method for railway information engineering. The system includes a risk analysis module and a risk assessment and quantification module. The risk analysis module integrates the Work Breakdown Structure (WBS-RBS) method and the STPA model to identify and analyze risks in the entire workflow and system functions of railway information engineering, and constructs a risk classification system based on the analysis results. The risk assessment and quantification module defines each item in the risk classification system as a risk event, and uses the risk matrix method, Apriori association rule mining, and complex network theory to objectively calculate its probability, consequence value, and network weight, ultimately achieving a quantitative assessment of the comprehensive risk level. This invention solves the problems of subjective assessment and lack of systematic and forward-looking preventive measures in the field of railway information engineering due to the scarcity of accident cases, realizing precise prevention from systemic risk deduction to data-driven quantitative assessment.

The utility model discloses a kind of monitoring devices for information engineering belong to monitoring equipment technical field, can be conveniently adjusted to specified position to monitor when working, and can be adjusted to the horizontal circumferential angle and the vertical angle etc. The monitoring device for information engineering includes a guide rail, a mounting table is slidably arranged on the guide rail, a meshing tooth plate is arranged at the top of the guide rail, a moving assembly for moving the mounting table is installed on the side of the top of the mounting table, a top seat is installed at the top of the mounting table, a fixing seat is protrusively arranged at the top of the top seat, a hinged seat is rotatably arranged inside the fixing seat, the top of the hinged seat protrudes out of the fixing seat, and a monitoring camera is installed on the two side edges of the hinged seat protruding out of the fixing seat.

This invention relates to the field of transportation information engineering, and provides a traffic flow prediction method and system based on a spatiotemporal contrastive learning model. The method includes: constructing a spatiotemporal graph convolutional network to extract spatiotemporal features of traffic data; designing a spatiotemporal data augmentation module to generate an enhanced view to improve model robustness; introducing a spatiotemporal contrastive learning mechanism to jointly optimize the spatiotemporal feature representation through four sets of contrastive learning tasks; and finally outputting future traffic flow through a prediction module. This invention addresses the complex spatiotemporal variations of road traffic data. Its superior prediction performance has been verified on multiple publicly available traffic datasets, significantly improving the accuracy and robustness of traffic flow prediction.

The present application relates to the technical field of information engineering knowledge graph construction, and particularly relates to a supervision knowledge graph dynamic modeling method based on multi-source heterogeneous data fusion. The method constructs a dynamic evolution and cross-source consistent knowledge network by designing a four-dimensional knowledge graph modeling framework, combining entity alignment of a graph neural network, relationship extraction of remote supervision, and attribute processing of weighted fusion. For a multi-modal data missing scenario, a virtual feature compensation mechanism (historical event retrieval, multi-dimensional feature weighted fusion) is used to generate virtual features and map them to the graph, effectively filling in the data and solving the problem of incomplete knowledge coverage in complex engineering scenarios. A compliance entropy evaluation model is introduced to quantify the compliance state of the supervision knowledge graph from three dimensions of rule coverage, data consistency, and traceability integrity, breaking through the limitations of the traditional artificial compliance check in terms of lag and subjectivity.

The utility model relates to information engineering wiring technical field, and disclose a double -deck isolated cable fixing device for information engineering wiring, including fixed frame, the fixed frame in middle fixedly connected with the baffle, the baffle surface is provided with positioning mechanism, the fixed frame surface is provided with mounting mechanism, the positioning mechanism includes support plate, support plate fixedly connected with baffle surface, the one side fixedly connected with first clamping piece of support plate away from baffle, first clamping piece surface is provided with second clamping piece, the one side fixedly connected with support frame of second clamping piece away from first clamping piece. This double -deck isolated cable fixing device for information engineering wiring, spring elasticity pushes second clamping piece reset, and forms firm clamping fixed with first clamping piece to cable, even in the environment of violent vibration or frequent pulling, can ensure that cable does not appear the situation of loosening displacement.