152 results about "Reference database" patented technology

The invention discloses an integrated collaborative management method for construction site risk operation data, and belongs to the technical field of data management. The method comprises the following steps: constructing and calibrating a space-time risk reference database; deducing a potential risk conduction link set, and generating an associated intervention knowledge base; during operation, through multi-sensor cooperative verification, an abnormal signal is confirmed as a risk event; matching the risk event with a conduction link to calculate a risk upgrade level and dynamically adjust an early warning threshold; and when the early warning is triggered, generating and issuing a dynamic collaborative response instruction, and feeding back a processing result to correct the reference database to form a management closed loop. According to the method, the technical means of constructing the space-time risk reference, deducing the conduction link, cooperatively verifying the risk and dynamically regulating and controlling the threshold are adopted, so that the predictability of project risk management and control, the efficiency of resource cooperative scheduling and the scientificity of overall management decision are improved.

The invention discloses a reservoir dam safety monitoring method and system based on edge calculation, and relates to the technical field of hydraulic engineering safety monitoring, and the method comprises the steps: obtaining monitoring data by each edge calculation node, carrying out the preprocessing, and generating a standardized data matrix; establishing a reference database, executing anomaly detection, and generating a labeling time sequence data matrix; performing multi-scale decomposition on the labeled time sequence data matrix, and constructing a node response feature matrix; the central processing unit receives data of each edge computing node, analyzes a multi-parameter spatial propagation mode by constructing a parameter-spatial correlation matrix, and obtains a spatial correlation feature matrix; establishing a Bayesian risk assessment model, predicting a dam risk level and outputting a risk evolution trend; and issuing a differentiated early warning instruction according to the risk assessment result. Through a distributed architecture combining edge calculation and central processing, real-time monitoring, intelligent analysis and accurate early warning of the dam safety state are realized, and the monitoring efficiency and the risk identification accuracy are improved.

The invention discloses a key marker gene-based intelligent cell type annotation method, which comprises the following steps of: constructing a static knowledge base by using known marker genes in a reference database, and endowing the marker genes with cell specific weights by using a TF-IDF method, so that the annotation accuracy and interpretability are improved. Meanwhile, under the condition that static matching is insufficient, the literature is understood through a large language model, mark information is extracted, dynamic completion of the knowledge base is achieved, the defect that updating of a traditional knowledge base is lagged is overcome, and good adaptability and expansibility are achieved. Besides, static and dynamic matching scores are fused in the annotation process, so that more robust cell type identification is realized, annotation requirements of multi-tissue, multi-species and novel cell states are adapted, high-precision and extensible cell type annotation can be realized in a scene with insufficient reference knowledge or a fuzzy sample, and the annotation efficiency is improved. And the method has good universality and practicability.

The invention relates to the field of pollutant monitoring, in particular to an indoor decoration harmful substance monitoring and early warning method and system based on multi-sensor analysis. The method comprises the following steps that decoration whole-process parameter collection is carried out based on multiple sensor nodes, regional parameter distribution fitting is carried out, and an all-weather monitoring reference database is constructed; performing air pollutant identification marking on the all-weather monitoring reference database, and performing multi-time-point concentration change evolution analysis to obtain a multi-time-point concentration distribution evolution model; carrying out dynamic pollutant diffusion mining on the multi-time-point concentration distribution evolution model, carrying out combined pollution evaluation calculation, and constructing a multi-pollutant combined diffusion risk chain; dynamic interpolation modeling is carried out on the multi-time-point concentration distribution evolution model, micro-scale space-time disturbance reconstruction is carried out, and a pedestrian disturbance space-time diffusion model is constructed. According to the invention, through accurate and efficient risk assessment of indoor decoration harmful substances, dynamic early warning is carried out, and the safety of indoor decoration is improved.

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 provides a high-throughput detection and bioinformation analysis and identification method for a human ring virus group, the method comprises the whole process from reference database construction, sample processing, high-throughput sequencing to bioinformation analysis, and the technical scheme specifically comprises the following steps: step 1, constructing a human ring virus high-quality reference database; 2, performing high-throughput sequencing on the metagenome of the human sample; and step 3, a ring virus group biological information analysis process.

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 relates to the technical field of building construction, and discloses an attached vibrator vibration parameter matching decision-making system, which comprises a perception execution dual-mode vibrator network, a vibration acoustic fingerprint generation and analysis module, a fingerprint evolution time sequence inference module and a multi-target dynamic decision-making engine, generating a vibration acoustic fingerprint formed by multi-dimensional physical characteristics according to the response signal; the method comprises the following steps: constructing a fingerprint evolution sequential sequence, comparing the fingerprint evolution sequential sequence with a reference database, deducing the performance of a concrete material on line, and further calling a mapping function matched with the performance to evaluate a real-time compactness state; and finally, based on the evaluated compactness, the multi-target dynamic decision engine adopts a model prediction control strategy to generate an optimal dynamic operation instruction for each vibrator node. Closed-loop self-adaptive control of detection, evaluation, decision making and execution is constructed, the optimal vibration parameters can be matched in real time, the vibration quality and uniformity of concrete are remarkably improved, energy consumption is reduced, and dependence on artificial experience is 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.

A vehicular system has a database of position data of discrete points on a route, a first positioning circuit that measures an own vehicle position by using the magnetic markers, a second positioning circuit that measures the own vehicle position by autonomous navigation, and a control circuit that controls the vehicle by taking a deviation of the own vehicle position with respect to the route as a control target. In the database, marker position data with reference to any discrete point is recorded as linked to position data. The first positioning circuit identifies the detected magnetic marker by referring to the database. The control circuit identifies the deviation of the own vehicle position with respect to the route by referring to the database.

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 transformer winding fault detection, in particular to a preventive maintenance method and device for transformer winding faults. The method comprises the following steps: acquiring current signals of a three-phase winding of a transformer and vibration acceleration signals in different directions; obtaining an excitation-response spectrum matrix based on the current signal and the vibration acceleration signal, and constructing a health state vibration mode base; projecting the excitation-response spectrum matrix to a health state vibration mode base to obtain a vibration mode contribution coefficient vector; constructing a frequency-mode association graph structure according to similar conditions of different frequencies in a health state vibration mode base at the initial stage of equipment commissioning; endowing nodes of the graph structure with features to obtain winding structure state feature vectors, and establishing a reference database of each temperature interval; and matching the winding structure state feature vector and the vibration mode contribution coefficient vector in the current time period with a reference database, and determining a fault reason. According to the invention, the timeliness of transformer winding fault early warning is improved.

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 stroke-oriented motion cognition composite rehabilitation system, which adopts a cloud distributed architecture and comprises a database unit, a patient terminal and a doctor terminal, the database unit is constructed based on a cloud server, adopts modular design and comprises a doctor information module, a patient information module, an evaluation standard module and a task information module; the evaluation standard module comprises a personalized evaluation parameter library and a standardized reference database; the patient terminal is used for receiving the task data transmitted by the database unit, displaying a specific task to a patient, and collecting task parameters of the patient while the patient executes training and evaluation tasks; the patient terminal comprises an account management module, a task execution module and a data acquisition module, and the task execution module integrates a trajectory tracking task, a visual arrival task, a motion interception task, a labyrinth navigation task and a target memory task; the doctor terminal is used for a doctor to remotely manage a patient, formulate a personalized rehabilitation scheme and track the rehabilitation progress in real time.

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.

The invention discloses a combined drive control method and system for a functional concrete processing cycle, and relates to the technical field of intelligent control, and the method comprises the steps: carrying out the multi-dimensional feature collection of raw materials of concrete, obtaining the feature information of the raw materials, and carrying out the screening analysis of a combined drive control database through taking the feature information as a constraint, thereby obtaining a control reference database; dividing a control reference database; analyzing functional requirements of the concrete, and determining a functional evaluation plan; performing optimization traversal on the reference library without the additives to obtain a first optimal control strategy, and performing optimization traversal on the reference library with the additives to obtain a second optimal control strategy; and comparing the first optimal control strategy with the second optimal control strategy to obtain a target control strategy, and performing combined drive control on the concrete. The technical problem that the processing control strategy cannot be intelligently matched according to the characteristics of the concrete raw materials in the prior art is solved, and the technical effects of accurate matching and functional control optimization of the concrete processing strategy are achieved.

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.

Provided are a subject evaluation device and a subject evaluation system that can perform processing suitable for various sensors in various places according to the needs of the places. A subject evaluation device (1) that evaluates a state of a subject (3) is characterized by having: one or more sensors (2) that measure the state of the subject (3); an acquisition section that acquires subject information and feature information of the subject (3) via the sensors (2); a conversion section that converts a subject information image into an evaluation target image on a two-dimensional plane according to the feature information of the sensors (2); a reference database that stores a correlation between a past evaluation target image obtained by performing image conversion in advance and reference information associated with the past evaluation target image; an evaluation section that generates an evaluation result for the evaluation target image with reference to the reference database; and an output section that outputs the evaluation result.

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 discloses a method for instant sensing and early warning of inorganic salt impurity content in urea, comprising: calibration reference database, including: pure urea solution density-temperature-concentration reference curve and data table calibration, typical inorganic salt impurity conductivity characteristic calibration and mixed urea solution conductivity-impurity content mapping relationship calibration; real-time acquisition of field data; calculation of inorganic salt impurity static content, including: calculation of total inorganic salt impurity concentration in the current urea solution; combined with urea dissolving tank geometric parameters and real-time liquid level data of the urea dissolving tank, the total mass of the inorganic salt impurity in the dissolving tank is calculated; dynamic calculation of impurity increment per unit time, based on multiple groups of static impurity mass data collected in continuous time sequence, the increase of the inorganic salt impurity in the urea dissolving system per unit time is calculated; dynamic calibration based on historical data; hierarchical early warning and interlocking control. Corresponding systems, electronic devices and computer readable storage media are also disclosed.

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 invention discloses a process control method and device for rear-end design of a digital chip and EDA tool software, and the method comprises the steps: firstly, carrying out RC automatic calibration on a pre-wiring database according to a design database, a reference database, a reference parasitic parameter information file and / or a preset time sequence calibration target, and then obtaining a parameter configuration file, the parameter configuration file comprises calibration configuration parameters for parasitic parameter extraction and / or time sequence values; and then loading the parameter configuration file in a logic synthesis stage, a layout stage, a clock tree synthesis stage, a wiring stage and / or an ECO stage of physical perception in a digital chip back-end design for RC extraction. According to the calibration configuration parameters, RC extraction or a time sequence value of a certain stage is used as a reference value to guide an RC engine of another stage, and then an optimized RC estimation model is used for iterative design again, so that a calibrated RC estimation or extraction model can be applied in different stages, the RC estimation and extraction precision is improved, and the design process efficiency is further improved.

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.