96 results about "Reference database" patented technology

Methods and systems for automatic detection and filling of information gaps in a reference database are described. Responsive to a user query in an ongoing chat session, a query embedding associated with the user query is obtained. A synthetic question embedding is identified from a vector database, based on a similarity to the query embedding. Responsive to determining that the similarity between the synthetic question embedding and the query embedding does not meet a similarity threshold, the ongoing chat session is monitored to detect an answer to the user query. A prompt is provided to a large language model (LLM) to generate and display a textual content corresponding to the user query, based on the detected answer, for automatically updating the reference database. The disclosed methods and systems effectively incorporate new or undocumented information that is not currently captured within the reference database, as gaps are identified.

The invention relates to the technical field of health evaluation, in particular to a group image health evaluation method and system based on intestinal flora, and the method comprises the steps: collecting intestinal flora samples of a target group through a standardized process, and obtaining microbial sequence information through a high-throughput sequencing technology; microflora diversity characteristics and core flora characteristics are extracted through strain identification and relative abundance analysis, individual flora characteristics are compared with a healthy population reference database, health state scores are calculated, health grades are divided, population health grade distribution is counted, and the population health grade distribution is calculated. And generating a group health evaluation report containing a visual chart and text analysis. According to the method, a complete technical system from sample collection to health strategy making is established, systematic evaluation of the group health state from the perspective of intestinal flora is achieved, and the limitation of a traditional method in group health early evaluation is overcome. The method is suitable for health monitoring of different scales of groups, and provides effective technical support for public health management and health service.

The invention discloses an ocean jacket platform structure damage identification method and system, and belongs to the technical field of ocean platform structure damage identification, and the method comprises the steps: obtaining different types of reference data in a reference database through classification, and determining the statistical values and damage thresholds of damage sensitive features corresponding to the different types of reference data; when the damage sensitive characteristic statistical value corresponding to the test data is greater than the damage threshold value corresponding to the reference data of the current category, judging that the jacket platform structure is damaged, and starting an on-site detection and maintenance process; when no damage is actually detected on site, taking the test data as a new working condition sample, putting the new working condition sample into the reference database, and updating the category label; and otherwise, taking the test data as normal data, classifying the normal data, and incorporating the normal data into the reference data of the corresponding category. According to the method, the influence of the excitation environment change on the structural damage identification result is considered, and the uncertainty of the structural damage identification result of the ocean platform is greatly reduced.

The invention provides a credible manuscript review decision-making method, system and equipment and a readable storage medium. The method comprises the following steps: receiving a manuscript to be reviewed, analyzing a document structure of the manuscript to be reviewed, and identifying a paper type; based on the identified paper type, calling a data processing agent, extracting a performance index corresponding to the paper type from at least one of a text, a table and a chart of the to-be-reviewed document, and converting the performance index into standardized structure data; traversing a preset database, comparing the data in the reference database with the structured performance indexes, and determining the similarity and the relative sequence of the performance indexes of the to-be-reviewed manuscript and the data in the database; and based on the similarity and the ranking percentage, outputting a quantitative score of the to-be-reviewed manuscript and the confidence of the quantitative score. Compared with the prior art, the method has the advantages that the professionality, objectivity and credibility of review are remarkably improved; and interference caused by training data prejudice and text subjective description is effectively reduced.

The invention discloses a sky-base collaborative tower camera image high-precision positioning method, which comprises the following steps of: carrying out virtual squint projection on a satellite image based on a high-resolution satellite orthoimage of an area around a tower camera, and mapping the satellite image to a tower camera squint coordinate system; performing multi-scale phase fusion terrain enhancement feature extraction and cross-view matching on the satellite reference image and the tower camera image to obtain high-precision homonymy points and meter-scale control points; block adjustment and absolute positioning are carried out on a reference database image collected by a tower camera; and based on the positioned reference database, carrying out high-precision geographic positioning on the natural resource illegal behaviors. According to the method, high-precision positioning of the tower camera can be efficiently and automatically realized, the positioning efficiency of the tower camera image is remarkably improved, and protection of natural resources is facilitated.

The invention relates to the technical field of battery state monitoring, in particular to a hybrid energy storage battery state monitoring method and system based on data processing. The method comprises the following steps: collecting impedance measurement data of the hybrid energy storage battery pack under a preset frequency sequence; performing temperature correction processing on the impedance measurement data to obtain corrected impedance data under a standard temperature condition; establishing a health state impedance reference value of each energy storage unit based on the corrected impedance data to obtain an impedance reference database; calculating an impedance difference value sequence of each energy storage unit between adjacent frequency points by using the corrected impedance data; and dividing the impedance difference value sequence by the characteristic impedance value of the corresponding energy storage unit in the impedance reference database, and performing normalization processing to obtain a difference impedance characteristic vector. According to the invention, an accurate temperature compensation mechanism is established, the influence of environment temperature change on impedance measurement results is eliminated, and the consistency and comparability of monitoring results under different working conditions are ensured.

The invention discloses a multi-scene high-precision positioning method based on near ultrasound, and relates to the technical field of positioning, and the method comprises the steps: obtaining deployment parameters and environment reference parameters, and constructing a standardized reference database; deploying a near ultrasonic base station and a positioning terminal, and cooperatively collecting a near ultrasonic signal and a Beidou signal; performing targeted cleaning and standardization processing on the near ultrasonic signal and the Beidou signal; extracting features of the cleaned near ultrasonic signal and the Beidou signal, and performing fusion positioning calculation to obtain a positioning result; a positioning result is corrected through a self-calibration algorithm and an AI deep optimization model, and multi-dimensional positioning feedback is realized; and outputting a multi-dimensional positioning result. In actual use, an AI-driven scene algorithm is adopted for positioning optimization, indoor and outdoor centimeter-level seamless positioning is achieved, the method is adaptive to complex scenes such as strong electromagnetism, strong noise and multi-reflection, the deployment cost is remarkably reduced, and 1D, 2D and 3D positioning results are accurately output according to service requirements.

This application discloses a visual laser composite monitoring method and system for disconnector switch contacts, relating to the field of power system monitoring technology. The method includes: establishing a corresponding reference database based on the target disconnector switch; acquiring real-time image information, real-time laser ranging information, and real-time control information of the target disconnector switch after completing the closing action, and analyzing these to determine if the switch is in place, obtaining closing determination information; and issuing a closing warning result based on the closing determination information. This application addresses the problem that existing disconnector switch position monitoring relies on external indicators and cannot intuitively and accurately determine the insertion depth of internal contacts. By combining visualization and laser ranging principles, it solves the difficulties of existing methods in determining whether the switch is in place and quantifying the insertion depth, aiming to fundamentally avoid power safety accidents caused by incomplete closing.

This invention provides a visual positioning method and system, belonging to the field of visual positioning technology. The method includes: extracting query feature vectors from a query image to be located; obtaining candidate images and their corresponding candidate geographic coordinates based on the similarity between the query feature vectors and reference feature vectors in a reference database; calculating the spatial geographic distance between the candidate geographic coordinates; performing density spatial clustering on the candidate geographic coordinates based on the spatial geographic distance to obtain spatial clusters; determining the target spatial cluster containing the most candidate geographic coordinates; and calculating the geometric center of the candidate geographic coordinates within the target spatial cluster, using the center coordinates as the positioning coordinates of the query image. This invention introduces a physical scale to cluster and vote on the retrieval results, removing mismatch noise caused by homogeneous appearances in different locations, overcoming the jump error caused by relying solely on single visual similarity, and achieving high-precision UAV visual positioning with spatial consistency.

The invention belongs to the technical field of electronic countermeasures, and particularly relates to a distributed jammer closed-loop coherent control method based on synthesis effect feedback, which comprises the following steps of: modeling signal coherent synthesis efficiency, acquiring coherent synthesis efficiency of a jammer A and a jammer B under different phase differences under an error-free condition, and calculating the coherent synthesis efficiency of the jammer A and the jammer B; establishing a phase difference-coherent combination efficiency mapping relation reference database; a-B jammer phase correction is carried out; and jammer A-C correction is carried out. According to the method, the robustness and the engineering practicability are remarkably improved; the cost, the power consumption and the complexity are effectively reduced; according to the invention, by taking a synthesis effect as a guide, the harsh requirement on the absolute space-time precision of a single node is relaxed, common commercial devices with lower cost and lower precision are allowed to be used for construction, and meanwhile, the complexity of initial calibration and setting is simplified, so that the hardware cost, power consumption and deployment and maintenance difficulty of the whole distributed mode are greatly reduced; and the dynamic self-correction and long-term stability capabilities are endowed.

We provide the system. [Solution] A means for receiving the industry and job content selection from the user, Based on the aforementioned industry and business content, a means for sending a request to the server, A means for identifying the target industry from the aforementioned request content and selecting the appropriate prompt by referring to a database, A system including means for responding to the user with a selected prompt.

A preliminary identification (pID1) of an individual (130) is obtained from an identification system (150). A camera exposure and / or ISO setting (ID1: xs1) associated with the preliminary identification (pID1) is retrieved from a data memory (120), and image data (Dimg) representing a body part (132, 133, 134, 135, 136, 137) of the individual (130) is registered. The image data (Dimg) is matched to reference data (DR) in a reference database (160). The unique animal identity (ID1) is assigned to the individual (130) if and only matching criteria of the unique animal identity (ID1) identical to the preliminary identification (pID1) are satisfied. In the image data (Dimg), a further check is made as to whether pixels in the at least one region of interest meet at least one quality criterion. If so, the exposure and / or ISO setting (ID1: xs1) for the unique animal identity (ID1) remains unchanged in the data memory (120). Otherwise, the camera (140) is controlled to adjust its exposure and / or ISO settings such that the subsequently registered image data (Dimg) is estimated to meet at least one quality criterion.

This application provides a control method, air conditioning equipment, and medium for an air conditioning device. The method includes: acquiring control board combination identification information of the air conditioning device, wherein the control board combination identification information includes identification information of the indoor unit control board and identification information of the outdoor unit control board; matching the control board combination identification information of the air conditioning device with data records in a preset valid reference database to obtain a matching result; and executing task flow information corresponding to a target embedded component based on the matching result, wherein the target embedded component is a component that operates based on the indoor unit control board and the outdoor unit control board. Based on this application's solution, the application of the target embedded component in the air conditioning device can adapt to changes in the control board, improving the operational stability of the air conditioning device.

A system and method include an analysis control unit configured to receive nuclear magnetic resonance (NMR) data of a sample. A reference database is in communication with the analysis control unit. The reference database stores standard data including information regarding a plurality of standards for chemical compounds, and may also store information regarding quantum mechanical spectral analysis (QMSA) model data and test method data. The analysis control unit is further configured to compare the NMR data with the standard data to determine if the NMR data is associated with one of the plurality of standards, and identify one or more differences between the NMR data and the one of the plurality of standards.

The invention provides a goaf intelligent drilling system and method. The goaf intelligent drilling method comprises the following steps that datum holes and engineering holes are formed in an exploration area according to a preset proportion; a rock core sample is obtained through datum hole construction; various parameters are collected in real time in the construction process; a convolutional neural network model is constructed, and the mapping relation between the drilling parameters, the image features, the stratum physical property parameters and the logging data and the geological database is established; constructing a geological reference database; engineering hole drilling construction is carried out, and various data are collected in real time in the construction process; inputting a neural network model, and carrying out lithology identification, stratigraphic division and mining-induced fracture prediction analysis work; constructing a three-dimensional geologic model based on mining data, drilling results, fusion logging data and lithology inversion results; and predicting the drilling efficiency. And the abnormal drilling fluid consumption, pressure fluctuation and vibration spectrum characteristics are analyzed, so that accident advanced early warning is realized. According to the system and the method, the exploration efficiency is remarkably improved, and in-hole accidents can be early warned through abnormal drilling parameters.

The application relates to the technical field of electrical testing, and discloses a cable connection reliability testing method for a locomotive braking system, which comprises the following steps: S1, reference modeling: performing diagnostic grouping on a connection point, collecting an initial electrical fingerprint of the connection point, and establishing a health reference database; S2, excitation and monitoring: applying dynamic excitation to a cable to be tested, synchronously collecting a transient resistance signal in real time, and calculating a resistance fluctuation spectrum; S3, fault diagnosis: performing correlation analysis on the resistance fluctuation spectrum and dynamic excitation characteristics, combining the reference database, and diagnosing potential connection defects; and S4, evaluation and reporting: performing quantitative evaluation on the health state of the connection point according to the diagnosis result, and finally generating a comprehensive diagnosis report. The application adopts electrical response monitoring and health index evaluation technology under dynamic excitation, accurately identifies intermittent defects, and realizes quantitative evaluation and prediction of the cable connection reliability.

The embodiment of the invention provides a database detection method and related equipment, and the method comprises the steps: obtaining a reference database corresponding to a to-be-detected database, and the reference database is different from the to-be-detected database in database architecture; respectively sending the generated query statements to the reference database and the to-be-tested database; obtaining a test execution result obtained by executing the query statement by the to-be-tested database, and obtaining a reference execution result obtained by executing the query statement by the reference database; performing verification conversion on the test execution result and the reference execution result to obtain verification information of the test execution result and verification information of the reference execution result; and according to the verification information of the test execution result and the verification information of the reference execution result, performing logic defect detection on the to-be-detected database to obtain a detection result of the to-be-detected database, so that the accuracy of database detection can be improved.

A methods, systems, and devices for secure linking and matching of data elements across independent data systems of a first and a second enterprise are disclosed. The system includes a first private data system having a first private database that may include all attributes known to the first enterprise A reference data system having a reference database and is also part of the first enterprise. The reference database may contain a plurality of identity data records that only contain identity attributes that are used for resolving and verifying identities of unknown data records that are external to the reference data system. A first set of query attributes may be used determine whether a subject represented by the first set of query attributes associates uniquely with a subject of any private data record stored in the first private database. A similar comparison may be made in the reference database.

The embodiment of the invention provides an intelligent monitoring method and device for the appearance of a fan blade, and the method comprises the steps: triggering a camera device to carry out the automatic snapshot based on a preset condition, obtaining image data in a rotation period of the blade, and carrying out the preprocessing of the image data; performing multi-dimensional comparative analysis on the preprocessed image data and historical image data in a preset dynamic reference database, and outputting a comparison result; performing anomaly recognition on the comparison result by adopting an AI algorithm, and judging whether the blade has appearance anomaly or not and the anomaly level; and triggering a corresponding alarm mechanism according to the abnormal level, and performing linkage to generate an operation and maintenance work order, so as to track a maintenance process and a repair effect through the operation and maintenance work order. According to the method, traditional manual climbing inspection can be replaced, normalized and all-weather monitoring of the blade appearance is achieved, and the monitoring efficiency, the operation and maintenance response speed and the anomaly recognition accuracy are improved.

The application discloses a detection system, device and method for embryo chromosomal aneuploidy and parent contamination analysis. The system comprises a database module, an alignment module, an analysis and calculation module and a parent contamination detection module. The analysis and calculation module is used for performing the following steps: calculating the ratio of the number of effective sequences matched to each chromosome to the number of corresponding chromosome sequences in the reference database, performing statistical analysis, obtaining the number of target chromosomes of the sample to be detected, and obtaining the detection result of whether the frequency of alleles observed in the genetic linkage disequilibrium mode is abnormal. The parent contamination detection module comprises a contamination prediction model. The aneuploidy detection and parent contamination analysis of the embryo can be simultaneously realized by one detection.

The invention discloses a fetal brain development assessment method and a computer program product, and belongs to the field of medical image analysis. The method comprises the following steps: firstly, acquiring a brain image of a fetus, and then segmenting the brain image by using a segmentation model trained based on a multi-gestational-age sample and a loss function adjusted along with gestational ages to obtain a brain segmentation result; calculating a brain development index of the fetus based on the segmentation result; estimating the gestational age of the fetus by using a gestational age estimation model, wherein the gestational age estimation model comprises a segmentation model serving as a generator and a discriminator obtained through adversarial training; acquiring a normal brain development index range of the corresponding gestational age from a reference database based on the estimated gestational age; and finally, comparing the calculated brain development index with a normal range to obtain a fetal brain development evaluation result.

To provide a system for determining a state of a pelvic condition in a subject characterized by abnormal contractile activity in a target pelvic structure.SOLUTION: The system includes a sensing module configured to measure electrical activity in a pelvis of a subject at a plurality of time points during a hormonal cycle of the subject, a signal processing module configured to receive measurements of the electrical activity from the sensing module and to isolate a measurement of an electrical contractility parameter representative of a pelvic structure of interest from the measurements of the electrical activity, and a processor module operatively connected to the signal processing module. The system is configured to receive as input a measurement of an electrical contractility parameter representing a pelvic structure of a subject, generate a data profile of the subject including the measurement of the electrical contractility parameter representing the pelvic structure of the subject, compare the data profile to a reference database including different pelvic disease states, and output a pelvic disease state in the subject based on the comparison.SELECTED DRAWING: Figure 2

The invention relates to the technical field of database testing, in particular to a database testing method, system and equipment based on knowledge distillation and a medium, and the method comprises the following steps: constructing a multi-modal feature extractor, and performing multi-dimensional feature extraction on an input structured query statement and an execution context thereof; training the first network model based on a multi-modal feature sample generated by executing the historical test case in the reference database and execution behavior data corresponding to the multi-modal feature sample to obtain a teacher model; training the second network model according to the output probability distribution of the teacher model and the middle layer features to obtain a student model; and processing the structured query statement query of the to-be-tested database by the multi-modal feature extractor, respectively inputting the processed structured query statement query into the trained teacher model and student model, and judging whether functional abnormality exists in the current query or not according to the difference of output prediction results. The objective of the invention is to realize database function testing with high coverage rate, low manual intervention and interpretability.

The present application relates to the technical field of bridge health monitoring, and discloses a method for determining the change of bridge structure stiffness based on bridge health monitoring deformation data. The method establishes an initial data set of bridge deformation monitoring data and performs multi-scale decomposition processing to generate deformation component data of different time scales; the deformation component data of different time scales is input into a pattern recognition engine to identify feature mode data streams associated with the structure stiffness; a stiffness influence factor sequence is constructed based on the feature mode data streams, and statistical characteristic quantities of the stiffness influence factor sequence are calculated through a sliding time window; the statistical characteristic quantities are subjected to multi-dimensional matching analysis with a historical reference database to output a stiffness anomaly probability index; and a hierarchical verification mechanism is activated according to the stiffness anomaly probability index to confirm the stiffness change trend through a cross-validation algorithm. The present application provides reliable data support for the evaluation of the health condition of bridge structures.

The invention discloses an in-service nurse nursing behavior intelligent analysis and training system based on artificial intelligence, and relates to the technical field of nursing behavior analysis. The information acquisition module is used for acquiring past nursing behavior information and acquiring real-time nursing behavior information of an in-service nurse; according to the invention, the reference library is established based on the previous nursing behavior information through the set reference establishment method as a reference, the nursing name corresponding to the real-time nursing behavior information is judged through the behavior matching method, and whether the nursing behavior of the nurse is standard is judged through the behavior analysis method in combination with the nursing name. And when the behavior is not standard, to-be-optimized information is generated through a behavior optimization method and sent to nurses, intelligent analysis behaviors are integrally provided, training is provided when the behaviors have defects, the compliance and skill gap in actual operation is continuously and objectively evaluated through systematic analysis and training, near-real-time error correction and decision support is provided, and the accuracy and the reliability of the system are improved. And the safety and the efficiency are instantly improved in key nursing links.

This application proposes a method for assisting vehicle control, comprising: acquiring perception data about a target object in the vehicle's surrounding environment using environmental sensors, wherein the target object is only partially visible to the environmental sensors; determining basic attribute information about the target object based on the perception data using a trained machine learning model; performing a retrieval in a reference database based on the basic attribute information to determine reference geometric information for characterizing the complete geometric shape of the target object; and providing the reference geometric information for vehicle control. This application also proposes a system for assisting vehicle control, a device for assisting vehicle control, and a computer program product. By combining machine learning techniques with database retrieval, the machine learning model only needs to perform relatively simple recognition tasks and more reliably obtains the complete geometric shape information of the target object from the reference database.

Title: Method and device for the diagnosis, prognosis and / or therapeutic monitoring of diseases impacting the mineral profile of at least one biological fluid. The method according to the invention consists of: - Implementing a reference database (RDB) comprising data relating to samples of biological fluid, and to the healthy or sick subjects from whom the samples originate; - Implementing a sample Ex from a subject Sx to be tested; - Analyzing each sample to determine at least one Mineral Profile of Sx; - Defining diagnostic (d), prognostic (p), and therapeutic monitoring (t) categories to make at least one prediction of Sx's membership in a category; - Statistically processing the RDB data and graphically visualizing the processed data, then positioning the Sx data on this visualization; - and / or performing machine learning on the RDB data;to make the prediction of membership concerning Sx and thereby assist in the diagnosis, prognosis and / or therapeutic monitoring of diseases impacting the mineral composition of at least one biological fluid, for Sx Figure 1;

The invention discloses an aircraft power supply system no-load abnormity monitoring method and early warning system, and relates to the technical field of electrical variable measurement, and the method comprises the steps: executing no-load exclusive reference calibration after confirming that the system enters a stable no-load working condition, and building a no-load operation reference database; the multi-channel unit subjected to nanosecond-level synchronous calibration acquires no-load electric variables and environmental parameters; abnormal features are extracted through time domain and frequency domain conjoint analysis, and data are corrected through a no-load exclusive environment-aging coupling compensation model; a no-load exclusive risk scoring formula is adopted to quantify the risk, and an abnormal type and grade are judged in combination with a no-load exclusive abnormal recognition model; and fault tracing is completed through the combined positioning model, grading early warning is triggered, and storage data is encrypted. The method can accurately capture no-load weak abnormal signals, improve the early fault recognition rate, and guarantee the operation safety of an aircraft power supply system.

The invention relates to the technical field of fan blade maintenance, in particular to an accumulated dust detecting and cleaning method for a fan blade. The method comprises the steps of dividing a blade into a plurality of dust deposition sensitive areas based on chord length distribution and historical dust deposition data of the fan blade; constructing a reference database of fan blade ash deposition detection, and generating a reference parameter set including regional basic ash deposition parameters, environment associated ash deposition parameters and working condition associated ash deposition parameters; based on the reference parameter set, performing multi-dimensional data acquisition on the plurality of ash deposition sensitive areas to generate a sensing data set; and performing multi-stage judgment on the sensing data set and the reference parameter set to generate a dust deposition abnormity judgment result, and formulating a cleaning strategy and executing cleaning operation according to the dust deposition abnormity judgment result. According to the method, the accuracy of fan blade dust deposition detection and the high efficiency of cleaning operation can be improved, and stable and efficient operation of the fan is guaranteed.

The application discloses a pre-wiring RC automatic calibration method and system based on timing driving, which comprises the following steps: firstly, initializing configuration parameters for RC estimation based on user input or automatically executed RC automatic calibration instruction; then, acquiring reference timing which is preset or calculated according to a reference database; then, performing timing analysis on a pre-wiring database to be calibrated according to the initialized configuration parameters and the reference timing; finally, applying a three-stage timing driving calibration algorithm to dynamically calibrate the configuration parameters of the pre-wiring database based on the reference timing, so as to acquire and output calibration parameters. Since the pre-wiring RC model is optimized by means of automatic adjustment, the pre-wiring timing value is automatically calibrated to be as close as possible to the wired timing value, a plurality of different inputs can be preset as reference targets for calibration, and a plurality of customized calibration characteristics can be selected to achieve more refined timing value control.