16results about How to "Improve judgment accuracy" patented technology

The application relates to the technical field of solid waste treatment, and discloses an intelligent control sorting system and sorting equipment for construction waste based on AI vision, which integrates material conveying, visual sensing, multi-stage driving sorting and a central main control module; a main controller constructs a window load entropy model based on visual data, reversely adjusts the frequency of a front-end vibrating material uniformizing device to realize full-line load balancing, and effectively prevents the phenomenon of overload congestion or idling of rear-end mechanical arms; a special electro-hydraulic mixed drive gripper is arranged at the sorting end, which can intelligently switch between servo electric power soft grabbing and hydraulic rigid heavy load locking modes according to the physical properties of materials; in addition, the system calculates visual touch feature residual errors by using physical feedback in the grabbing process, and iteratively corrects the weight parameters of the visual recognition algorithm online. The application effectively solves the problems that the traditional sorting line has large flux fluctuation and complex rigid and flexible materials are difficult to be considered, and significantly improves the overall sorting efficiency and purity of the system.

This invention discloses a polarity testing method for metering devices suitable for high-noise environments, belonging to the field of metering device testing technology. The method includes: generating a square wave excitation signal with preset parameters based on algorithm control and applying it to the primary side of the metering device; acquiring the secondary side induced response signal, which is then synchronously transmitted after filtering, baseline drift correction, and amplitude scaling preprocessing; integrating the excitation and preprocessed signals, extracting phase difference, delay time, and amplitude characteristic parameters, and sequentially performing polarity, phase sequence, and on / off determination to obtain a preliminary comprehensive result; based on the preliminary result and characteristic parameters, outputting the determination result and confidence level through an improved CNN model, and obtaining the final polarity conclusion through weighted fusion; and visually outputting the final conclusion. This invention, through the collaborative design of precise excitation, anti-interference preprocessing, multi-dimensional preliminary determination, and AI-fused final determination, effectively suppresses noise interference, improves the accuracy and stability of polarity determination, and is suitable for high-noise scenarios such as industrial sites and substations.

The application provides a two-stage fusion based on sound and vibration signals for a milling cutter wear state classification method of a disc type milling cutter of a gear milling machine, relates to the fields of multi-source information fusion and fault diagnosis, and mainly comprises the following steps: 1) four noise sensors are used to collect noise signals in four directions, and the correlation degrees of the noise signals in different directions are obtained through a gray B-type correlation degree method, so that the sound signals after fusion are obtained through data stage fusion; 2) the vibration signals of the main shaft of the gear milling machine are collected, and the collected vibration signals and the fused sound signals are preprocessed and subjected to time-frequency feature extraction; a Relieff-mRMR joint algorithm is used to optimize the extracted characteristic values, and the characteristic values with greater influence are selected to construct a data set; 3) a BiLSTM is used to extract the features of the data set, and then an XGBoost is used to classify the extracted characteristic vectors, so that the classification results of different wear states of the disc type milling cutter are obtained. The two-stage fusion method is used to fuse the sound and vibration signals, so that the characteristics of tool wear can be more effectively captured, and the wear state of the disc type milling cutter of the gear milling machine can be judged.

This disclosure relates to a full-process processing method for fiber optic composite ground wires, including: a design stage where a design database is established, the structure and processing technology of the fiber optic composite ground wire are determined based on the database, and auxiliary optimization design is performed; a manufacturing stage where multiple attribute parameters of the fiber optic composite ground wire are monitored to improve quality; an operation stage where the fiber optic composite ground wire is monitored under extreme low-temperature conditions to obtain initial data; the original health indicators are input into a pre-trained health and status recognition model to obtain the status recognition results of the fiber optic composite ground wire; and an early warning is issued based on the status recognition results. The technical solution of this application improves design quality, provides early warning during the operation stage, and is beneficial for extending the lifespan of the fiber optic composite ground wire.

The application provides a fake news detection method and related equipment, and belongs to the technical field of natural language processing and information authenticity detection. The method comprises the following steps: preprocessing and segmenting an original input text to obtain a sentence set and score a candidate claim set obtained; converting the sentence into a single sentence declarative expression to obtain a normalized claim, and structurally constructing the normalized claim; simultaneously performing information retrieval according to the structural construction mode to obtain a candidate evidence, performing multidimensional consistency verification on the structured claim and the candidate evidence, and scoring to obtain a total verification score; and correcting the total verification score by using the matching degree of a news site and an IP address, and outputting a verification result. The application prepositions noise processing and fact positioning, adopts a structured claim for fine-grained verification, and corrects through cross-information source matching of an IP address and a news site, so that the accuracy, interpretability and identification ability for numerical / time tampering of fake news detection are improved.

This invention relates to the field of electronic digital data processing and discloses a method for generating computable task semantics from SOP text for flight training. The method includes: parsing the original script to extract key elements and constructing task nodes containing target states, parameter tolerance ranges, and behavioral rules; establishing directed dependencies between nodes to generate a task semantic graph; calculating a semantic execution score factor representing the degree of convergence of the operational intent towards the target state based on the evolution trend of the controlled entity feature state vector within a preset time window; and using the numerical evolution characteristics of the score factor satisfying the convergence criterion as the basis for triggering topological migration of the task semantic graph. This invention replaces instantaneous threshold comparison with temporal residual evolution judgment, eliminating the spatiotemporal mismatch between discrete semantic commands and continuous telemetry data streams, and improving the system's fault tolerance for non-standard phase operation recognition.

The application discloses an ECU offline test method, system, medium and electronic equipment, comprising: obtaining configuration parameters, establishing an offline test project based on the configuration parameters; generating a corresponding offline test file based on the test case, calling the offline test file to perform offline test on the ECU; identifying whether the ECU meets the offline requirements, recording the corresponding test state, and generating a corresponding test report; offline detection of the ECU under different power supply conditions, realizing full-process automatic test of power supply control, offline test, data acquisition, compliance determination and report archiving, improving the offline detection efficiency, determination accuracy and standardization level of the ECU, and meeting the operation requirements of various vehicle-mounted ECU offline tests.

This invention discloses a method for detecting the quality of power pole splices based on the back-transmission ratio of elastic wave signals, belonging to the technical field of power facility safety evaluation. The method includes: applying vibration to the pole and acquiring the elastic wave response signal; extracting the reflection amplitude A at the splice. b And the amplitude of the reflection from the top of the pole A t This invention introduces a distance attenuation coefficient κ to construct a back-transmission ratio ζ that eliminates the influence of excitation force. Based on the elastic wave multilayer medium propagation model, a nonlinear mapping relationship between the impedance ratio η of the joint and the rod and ζ is established, and η is obtained by solving the problem. The tightness of the joint is evaluated based on the value of η; the closer η is to 1, the tighter the connection. This invention eliminates the influence of impact force by introducing a back-transmission ratio ζ and compensates for the difference in propagation distance by using an attenuation coefficient κ, thus achieving quantitative and robust detection of the joint quality and overcoming the shortcomings of traditional methods that rely on the absolute amplitude of the signal and are easily affected by medium attenuation.

The application discloses a kind of based on Beidou double-channel double power supply radar water level gauge device and system, specifically related to telemetry water level monitoring and Beidou communication technical field, including the water level value of each sampling time, main power output value and backup power output value, water level value is formed water level sequence according to sampling in succession, and when main power output is invalid and backup power output is effective, power supply path is switched to backup power, and the sampling record with sampling time and power supply source mark is output;By executing power supply switching mark, water level continuous connection arrangement, double-channel division work sending and process boundary interpretation restoration to sampling record, make first Beidou channel send water level main chain, second Beidou channel synchronously send power supply switching bit and the boundary information corresponding to unconfirmed section.

The present application relates to the field of petrochemical industry and environmental protection technology, and particularly relates to a multi-core pipe parallel type main and auxiliary cavity cyclone oil-gas-water separation system and a separation method. The method comprises obtaining the time of flight of reflected sound waves and the Doppler power spectral density diagram of the cyclone separation main cavity; determining the axial coordinate sequence and the radial coordinate sequence based on the time of flight; determining whether the cyclone intensity of the cyclone separation main cavity is qualified based on the height difference of the cyclone liquid column; in response to the unqualified cyclone intensity, determining the adjustment direction of the gas phase outlet back pressure based on the cyclone gas core ratio; based on the qualified cyclone intensity, determining whether the cyclone load of the cyclone separation auxiliary cavity is up to standard based on the frequency spectrum width value, and in response to the unqualified cyclone load, prolonging the liquid phase separation time of the cyclone separation main cavity; based on the qualified cyclone load, determining whether there is a downward trend of the oil-gas-water separation efficiency, and enabling sound early warning when the oil-gas-water separation efficiency has a downward trend. The present application solves the problem of lag in sensing the state fluctuation of the oil-gas-water mixed liquid flow field.

This invention relates to the field of coal mine gas geological disaster prevention and intelligent identification technology, and discloses a method and system for intelligent identification and graded early warning of underground gas geological anomalies in coal mines. The method includes: S1, collecting multi-source heterogeneous monitoring data in the target area of ​​the coal mine and performing standardization processing and spatiotemporal benchmark unification; S2, constructing a multi-dimensional feature fingerprint database based on historical or accumulated standardized datasets; S3, acquiring real-time multi-source monitoring data for the current tunneling or exploration process and extracting its features; based on the multi-dimensional feature fingerprint database, using evidence theory to fuse and calculate multiple extracted real-time feature evidences to obtain a comprehensive confidence assessment result for the existence of a specific type of gas geological anomaly in the undiscovered area ahead; S4, generating graded early warning information based on the comprehensive confidence assessment result and a preset risk level threshold. This invention achieves advanced identification, risk assessment, and targeted early warning of geological disasters such as underground gas outbursts.

The present invention relates to an error determination apparatus, an error determination method, and a recording medium. An error determination apparatus (10) for determining a measurement error occurring when a workpiece is measured by a coordinate measuring machine includes: an information acquisition section (121) for acquiring motion error information indicating a measurement result of a motion error of the coordinate measuring machine and design information of the workpiece; a measurement position designation section (122) for designating a measurement position on the workpiece based on the design information; an error determination section (123) for determining a measurement error occurring in measurement at the measurement position due to the motion error based on the motion error information; and an output section (125) for outputting the measurement error determined by the error determination section (123).

The application discloses a method and device for mining data relationship of a point of interest, an equipment and a medium, and relates to the technical field of geographic information. The method comprises the following steps: acquiring position information of a point of interest; determining a road loop matched with the point of interest based on the position information; the road loop is a closed loop surrounded by external roads in road network data, and there is no road chain in the internal part of the road loop to divide the road loop into two parts; the road chain is composed of one external road or connected by two or more external roads; the external road is a road located outside the point of interest; determining a search range of the point of interest based on the road loop; and mining data relationship of the point of interest based on the search range. The application has high efficiency and recall rate when performing data mining on the point of interest.

The application discloses a kind of transmission tower inclination monitoring method and system based on image analysis, belong to based on image processing monitoring technical field, specifically including monitoring platform, image acquisition unit, feature information identification unit, inclination risk determination unit, risk grade division signal and early warning unit;It is based on visual collection tower object image, calibrate multiple rigid feature points on the collected image, and establish background reference system based on absolute static background anchoring, monitor the displacement vector of multiple rigid feature points, eliminate the error brought by the influence of perspective deviation through static absolute reference system, and cross validation is carried out in combination with the same direction displacement of multiple points, to improve the determination accuracy of whether transmission tower exists inclination risk, when determining that transmission tower exists inclination risk, obtain tower inclination angle according to feature point displacement vector calculation, generate risk signal at all levels according to inclination angle change trend and carry out targeted and efficient early warning.

Embodiments of the present application provide a starting control method of a cleaning device, the cleaning device and a cleaning system. The starting control method comprises: in response to a starting instruction of the cleaning device, obtaining an inclination angle of a machine body in a first direction; obtaining a contact state between a bottom of a brush main body in the cleaning device and a cleaning surface; when the inclination angle is in a preset range and the brush main body is in contact with the cleaning surface, controlling the cleaning device to start cleaning work; and when the inclination angle is not in the preset range or the brush main body is not in contact with the cleaning surface, controlling the cleaning device to not perform cleaning work. The starting control method of the present application solves the problem of false starting of the cleaning device caused by the posture of the machine body, thereby improving the user experience.

The application discloses a genome penetration identification method fusing parent-specific SNPs and population allele frequencies, and relates to the technical field of bioinformatics and data processing. The method is based on the whole genome variation data of a parent population with a known source, uses the difference in population allele frequencies to screen parent-specific diagnostic SNP sites, and constructs a diagnostic SNP library. For the whole genome variation data of a sample to be measured, parent sources are determined in a preset sliding window through a physical path and a statistical path. On this basis, the double-path determination results are fused according to the decision rules of physical priority and loss completion, and the final determination results of each sliding window are obtained. Then, through continuous window merging and chromosome physical coordinate mapping, a phase block list and a visual karyotype map are output. The method is beneficial to improving the accuracy and robustness of parent source determination of chromosome segments.