11results about How to "Realize real-time detection" patented technology

The utility model discloses a consumable detection device for a 3D printing extruder. The consumable detection device comprises a printing head shell, a wire extruding channel is vertically formed in the inner side of the printing head shell in a penetrating mode, and a detection channel, an adjusting groove and a square groove are formed in the inner side of the printing head shell. The inner wall of the detection channel is fixedly connected with a first fixing shaft and a clamping block. Through an innovative mechanical conduction structure, when the consumables are inserted from the top, the balls are pushed and eject the deflector rod, so that the distance between the magnet block on the deflector rod and the Hall sensor is changed, the entry state of the consumables is detected in real time, and meanwhile, the detection accuracy is improved. The Hall sensor can accurately sense the actual diameter of the consumables according to the difference of the shifting distance of the shifting rod caused by small change of the diameters of the consumables, real-time accurate control over the extrusion flow is achieved in combination with the driving motor and the transmission gear set, and the problem that in the prior art, the extrusion amount is unstable due to uneven diameters of the consumables is solved; and the consistency of printing quality is obviously improved.

This invention discloses a high-frequency resonance detection and early warning device for power systems, comprising a signal acquisition module, a signal transmission module, a signal processing module, a harmonic judgment module, and a result output module. By acquiring voltage / current signals from key electrical circuits, extracting high-frequency harmonic components through frequency domain analysis, and performing graded judgments, the device outputs corresponding processed signals, achieving real-time detection and early warning of high-frequency resonance anomalies. This solution achieves real-time detection, graded judgment, and differentiated handling of high-frequency resonance anomalies in power systems without relying on the internal model of the equipment or changing the original primary system structure and control strategy. It possesses strong engineering applicability and good versatility. Furthermore, by synchronously acquiring and comprehensively judging multiple signals, it effectively reduces the risk of false alarms and malfunctions, improving the stability and reliability of system operation.

This invention provides a method for detecting and calculating the austenite content in steel based on a permeability meter, relating to the fields of steel and electromagnetics. Based on the theoretical differences in saturation magnetization of different phases in ferromagnetic materials, this invention establishes a theoretical calculation model and detection method for measuring austenite content using a permeability meter. A standard-prepared sample is placed in a magnetic pole shoe, and the magnetic field strength H corresponding to the maximum permeability of the ferromagnetic material is first measured. μ Then at ≥1.5H μ Under a magnetic field strength of J, the polarization intensity of the magnetic field strength at multiple points was measured at continuous intervals. m Then, based on the saturation magnetization approximation law and derivation law, the saturation magnetization Js is fitted and solved. Finally, the austenite content is determined according to the theoretical calculation model of austenite content. The method described in this invention solves the influence of the constantly changing effective magnetic path length of traditional magnetometers on the measurement results. The method for determining austenite content is simple, has a solid theoretical basis, high measurement accuracy, and strong data repeatability.

The utility model relates to the related technical field of band-type brake detection, in particular to a railway wagon band-type brake detection system which comprises a main caisson shell, the left side and the right side of the main caisson shell are fixedly connected with bottom link plates, and the upper surfaces of the two bottom link plates are fixedly connected with a left caisson shell and a right caisson shell respectively. The upper surfaces of the main caisson shell, the left caisson shell and the right caisson shell are fixedly connected with detection assemblies. The railway wagon band-type brake detection system realizes real-time detection and dynamic early warning of vehicle wind embracing and chain embracing states through image acquisition and intelligent identification of components such as a railway wagon bottom brake cylinder piston stroke, a manual brake chain, a brake cylinder chain and the like, and can effectively prevent a band-type brake vehicle from over-peak humping, thereby reducing the labor intensity of operators and improving the working efficiency. Working efficiency is improved, and train operation safety is guaranteed. The protection grade of key components of the system wind embracing detection unit is IP68, and the system is more suitable for various complex working conditions.

This utility model discloses a real-time detection device for the turbojet power of a vertical takeoff and landing vehicle, relating to the technical field of detection devices. The real-time detection device uses a fixed frame connected to a clamp via a guide rail and a slider structure to fix the turbojet engine. The clamp is connected to the fixed frame via a force gauge set on the axis of the turbojet engine. It can collect thrust data in real time, avoiding the data delay and distortion problems caused by response lag and indirect calculation in traditional dynamometer methods, and significantly improving the dynamic response capability and data accuracy of the detection.

The application discloses a kind of non-contact track abrasion and third rail geometric parameter real-time detection method and system, the method includes, the graphic data of track is collected and is preprocessed;Image data after pre-processing is converted into three-dimensional point cloud data and is normalized processing in coordinate system;The point cloud data of the rail head of the stress-free side of steel rail is registered and fused, respectively detects the abrasion value of the vertical point position of the stress side of steel rail and the horizontal point position of the top surface of steel rail;According to third rail profile data, third rail center point detection and third rail abrasion value calculation are carried out;According to the relative position relationship between third rail center point and the rail surface of its adjacent side steel rail, third rail pull-out value and third rail guide height value are calculated.The abrasion detection result is compensated according to the third rail geometric detection result in the application, the third rail geometric measurement error caused by rail abrasion is eliminated, and the third rail geometric detection precision and third rail safety are improved.

The application discloses a stress detection method, a detection device and a computer readable storage medium. The stress detection method comprises the following steps: cutting a to-be-processed plate to form a cavity, and filling a slurry into the cavity, wherein a core layer of the to-be-processed plate is formed with a first through hole; a seed layer is formed on a top layer of the to-be-processed plate, and the slurry is filled in a set region of the seed layer; a build-up layer is respectively made on the seed layer and a bottom layer of the to-be-processed plate; a second through hole is respectively made between the build-up layer and the top layer and the bottom layer, the second through hole leads out an electrode pin, and the stress of the to-be-processed plate is detected through the electrode pin. The method can detect the internal stress change in real time, find the micro crack initiation in time, and effectively prevent the package cracking and the interface delamination.

This invention discloses an intelligent detection method for product surface anomalies based on machine vision, belonging to the fields of machine vision and anomaly detection technology. The method comprises the following steps: First, image data of the product surface is collected and filtered, comprehensively covering the surface of the product under test and dividing it into regions; the training set consists of normal surface images. Second, a suitable neural network structure is selected, and a loss function is constructed by combining MSE, Cosine, and SSIM; the model parameters are trained and saved. The anomaly heatmap of the verification image is compared with the heatmap of the normal image to determine the optimal threshold. Finally, preprocessing, network computation, and post-processing operations are performed on the test image to determine whether there are anomalies and their locations. This invention uses only surface images of normal products to train the neural network, eliminating the need to pre-collect images of various anomaly surfaces as training data, making it suitable for intelligent detection of various possible defects on the surface of products on assembly lines.

This invention discloses a method and system for detecting and evaluating the settlement of buried pipelines based on ground-penetrating radar (GPR). The detection method acquires B-Scan mask images of shallow-buried pipelines, extracts the overall and local characteristics of target hyperbolic reflection signal feature points in the images, removes singular points, performs curve fitting on all valid target hyperbolic reflection signal feature points, and calculates and scores the depth and wave velocity values ​​corresponding to the target feature points to obtain the pipeline burial depth. The evaluation method, based on the pipeline settlement detection results, identifies the location of maximum settlement deformation by using the angle formed by the height change between two points on the pipeline, and predicts the location where the risk of fracture in the detected section may occur. The detection system implements this detection method, and the evaluation system implements this evaluation method. This application solves the problem in engineering measurements where hyperbolic reflection signals with characteristic damage caused by electromagnetic wave attenuation and coupling cannot be effectively calculated, significantly improving the data's processability and analyzability.

The utility model discloses a kind of nitrogen oxide detection devices, it includes gas collection module, signal conversion module, data processing module and feedback control module. Gas collection module reduces particulate matter interference by porous filter assembly, signal conversion module utilizes electrochemical sensor to convert gas concentration into electrical signal, feedback control module dynamically adjusts sensor parameter to optimize sensitivity, environmental compensation module corrects temperature and humidity influence. In addition, the device is also provided with display module, storage module, wireless communication module and alarm module, and can realize data real-time monitoring, remote transmission and overproof alarm. The application can improve detection precision, response speed and real-time monitoring capability, meet complex scene application requirement.

This application relates to the field of power systems and provides a method, system, computer equipment, and storage medium for full-cycle gas management of environmentally friendly gas-insulated power equipment. The method includes: online real-time quality verification of a prepared mixed gas; filling the gas-insulated switchgear with the online real-time quality-verified mixed gas based on a multi-stage intelligent filling principle of constant current and constant pressure; acquiring multimodal edge gateway data; analyzing the edge gateway data to generate local rapid alarm information; constructing a gas state digital twin model based on the edge gateway data and model construction data associated with the gas-insulated switchgear; and generating and displaying fault diagnosis information based on the gas state digital twin model. This method can improve the effectiveness of gas detection and leakage fault diagnosis for environmentally friendly mixed gases.