28results about How to "Realize real-time detection" patented technology

The invention provides a construction method, a control method and a system of a flight control network, and the method comprises the steps: employing a depth deterministic strategy gradient algorithm, building an attitude control network of an unmanned aerial vehicle in a flight process based on the state information and a target flight value of the unmanned aerial vehicle in the flight process, employing a depth reinforcement learning algorithm, and carrying out the attitude control of the unmanned aerial vehicle in the flight process. Based on the state information and the information of the environment where the unmanned aerial vehicle is located, a path planning network and an intelligent avoidance network of the unmanned aerial vehicle in the flight process are built respectively; based on the attitude control network, the path planning network and the intelligent avoidance network, constructing a hierarchical deep reinforcement learning network of the unmanned aerial vehicle in the flight process; and training the hierarchical deep reinforcement learning network by adopting historical flight data of the unmanned aerial vehicle in different flight environments and a preset flight reward mechanism to obtain a flight control network of the unmanned aerial vehicle. According to the invention, the adaptability and flexibility of the unmanned aerial vehicle in the flight process can be improved.

The invention provides a rail transit foreign matter invasion risk identification and evaluation method and system, and belongs to the technical field of target identification of image processing. Image data of a running environment in front of a train are collected in real time; performing foreign matter detection on the acquired image data frame by frame through a foreign matter detection algorithm, and obtaining the category and position information of the detected foreign matter if the foreign matter is detected to exist in a certain frame of image; segmenting a track region in the frame of image through a track segmentation algorithm to obtain position information of the track region; based on the relative position relation between the foreign matter and the rail area, the distance between the foreign matter and the train and the category of the foreign matter, comprehensively evaluating and outputting the rail transit foreign matter invasion risk level. According to the method, the foreign matter invasion risk in the rail transit scene can be accurately identified in real time, meanwhile, a rail transit foreign matter invasion risk grade evaluation system is established, and efficient detection, identification and evaluation of the rail transit foreign matter invasion risk are achieved.

The utility model discloses a bridge expansion joint displacement detection device and detection system, and the device comprises a detection rod and a protection sleeve with one end provided with an opening. One end of the detection rod is inserted into the protective sleeve in a sliding and sealing manner, a laser displacement sensor is fixedly mounted at the end, located in the protective sleeve, of the detection rod, and a reflection part right opposite to the laser displacement sensor is arranged in the protective sleeve; the end, away from the detection rod, of the protection sleeve is fixedly sleeved with a sleeve in a sealed mode, a first cavity is formed between the sleeve and the protection sleeve, a first through hole communicated with the first cavity is formed in the sleeve, and a second through hole communicated with the first cavity is formed in the protection sleeve. According to the utility model, the bridge expansion joint can be detected in real time, and the detection efficiency and precision are improved.

The invention discloses a fluorescent quantitative PCR (polymerase chain reaction) primer group for detecting paenibacillus mucilaginosus and application of the fluorescent quantitative PCR primer group. The sequence of the primer group is shown as SEQ ID NO.1-3, the reaction system comprises the primer group, a PCR buffer, Taq DNA polymerase, UDG enzyme, positive control and negative control, and the detection steps comprise: extracting nucleic acid of a sample to be detected, constructing the reaction system, carrying out a reaction according to a reaction program, and carrying out result interpretation. The method has the advantages that the detection method is efficient, simple and convenient, the specificity is high, the sensitivity can reach 10 < 2 > CFU / mL, and the detection result is accurate and reliable.

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.

The invention discloses industrial wastewater treatment equipment with a waste gas purification function, and relates to the technical field of wastewater treatment.The treatment equipment is used for treating impurities in wastewater and comprises a main body mechanism, an impurity separation mechanism, an impurity detection mechanism, a solution separation mechanism and a waste gas filtering mechanism, and the main body mechanism is connected with the impurity separation mechanism; the main body mechanism is connected with the impurity detection mechanism, the solution separation mechanism and the waste gas filtering mechanism, the impurity separation mechanism is connected with the solution separation mechanism, the main body mechanism comprises a mounting base and a reaction device, and the reaction device is arranged on the mounting base and comprises a reaction tank and a heating resistance wire. The reaction tank is fixedly connected with the mounting base, the heating resistance wire is arranged in the tank wall of the reaction tank and is connected with a power supply, and the mounting base is connected with the impurity separation mechanism.

The invention provides an ear return time delay detection method and device, electronic equipment and a storage medium, the method is used for detecting ear return time delay of an ear return system, the ear return system at least comprises an audio collector and an audio player, and first cache time delay is determined according to collection cache data volume in the audio collector; determining the time delay of the audio collector according to the first cache time delay and the hardware time delay of the audio collector; determining a second cache delay according to the playing cache data volume in the audio player; determining the time delay of the audio player according to the second cache time delay and the hardware time delay of the audio player; according to the time delay of the audio collector and the time delay of the audio player, determining the ear return time delay of the ear return system; by adopting the method provided by the invention, the cached data volume of the ear return system is utilized to carry out ear return delay detection, and external equipment does not need to be connected to carry out delay detection, so that the detection process of the ear return delay is simplified, and real-time calculation on the ear return delay of the ear return system is facilitated.

The present invention discloses a medium-low temperature geothermal resource exploration device, comprising a guide pulley arranged at a geothermal wellhead, a measuring rope wound on the guide pulley, and a winding device arranged beside the geothermal well for winding the measuring rope, one end of the measuring rope is connected to the winding device, and the other end extends into the geothermal well, and a measuring float is arranged at the end of the measuring rope located in the geothermal well; an adjustment component is arranged on the measuring rope, and the adjustment component comprises an outer cylinder, a piston rod, an end cover, a first clamping device and a second clamping device, the piston rod is in a T-shaped structure, the piston rod is slidably installed in the outer cylinder, the end cover is connected to the outer cylinder, the piston rod passes through the end cover and is hinged to the second clamping device, a weight sensor is arranged at the upper end of the end cover, a pressure plate is arranged in the outer cylinder, the pressure plate can slide on the piston rod, and the lower end of the pressure plate contacts the weight sensor. The device can realize the detection of water level in the geothermal well, and has the advantages of simple monitoring and not easy to damage.

The invention discloses an electric drive type comprehensive detection vehicle and a track inspection method, and the detection vehicle comprises a walking unit, and a control unit, a seat unit, a power supply unit, an overhead line system detection unit and a track inspection unit which can be quickly disassembled and assembled on the walking unit, the power supply unit is electrically connected with the walking unit, the control unit, the contact network detection unit and the track inspection unit and provides working power for all the units, the control unit is arranged at the front end of the walking unit and comprises a control board, an industrial personal computer and an electric control system, the industrial personal computer and the electric control system are integrated in the control board, and the industrial personal computer is electrically connected with the contact network detection unit and the track inspection unit. And the electric control system receives and processes the image data, is electrically connected with the walking unit, and controls the walking unit to work under the control of the control console. Modular design is adopted in the overall structure, assembly and disassembly of upper and lower tracks can be achieved in a short time, carrying is convenient, the applicable scene is expanded, rapid and real-time automatic non-contact detection is achieved, the overhauling efficiency is greatly improved, and safety is improved.

The utility model discloses a silicon controlled rectifier dimming control circuit, which relates to the technical field of illumination and comprises an AC (alternating current) input module, a power supply circuit module, a zero-cross detection module, a control signal input module, a digital signal processing module and a power switch filtering module. The input end of the AC input module is connected with an AC power supply, and the output end is connected with the power supply circuit module, the zero-cross detection module and the power switch filtering module. The power supply circuit module is used for supplying power to the digital signal processing module; the control signal input module is used for inputting a control signal into the digital signal processing module; the zero-crossing detection module is used for inputting a zero-crossing signal into the digital signal processing module; and the power switch filtering module is used for filtering the dimming signal output by the digital signal processing module. According to the utility model, double-control dimming can be realized.

This utility model discloses a temperature measurement structure for power terminal equipment, including a wiring bracket, wiring terminals, a main circuit board, a temperature measuring plate, and a heat-conducting component. The wiring terminals are mounted on the wiring bracket, and the main circuit board is electrically connected to the wiring terminals. The temperature measuring plate has a temperature measuring circuit and is mounted on the wiring bracket and electrically connected to the main circuit board. The heat-conducting component is installed between the wiring terminals and the temperature measuring plate. By setting the temperature measuring plate independently of the main circuit board and fixing it with the wiring bracket, the temperature measurement structure of the power terminal equipment completely avoids layout changes and EMC degradation caused by adding components to the main circuit board. The heat is quickly and directionally transferred from the wiring terminals to the temperature measuring plate through the heat-conducting component, realizing real-time detection of the wiring terminal temperature. Furthermore, the modular design allows the same temperature measuring plate to be used in different models of power terminal equipment, reducing development and material preparation costs.

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.

The invention discloses a heading machine coal rock interface monitoring device and method based on a terahertz imaging technology. The method comprises the steps that terahertz waves are emitted through a terahertz wave emitter; dividing the terahertz wave into two beams of terahertz waves through a two-way beam splitter; processing the two beams of terahertz waves through an optical processing module to obtain a terahertz wave beam converging plane; carrying out area array scanning on the coal-rock interface of the heading machine based on the converged plane of the terahertz wave beams through a lens to obtain reflected terahertz wave signals; receiving the reflected terahertz wave signal through a terahertz wave detector; processing and analyzing the terahertz wave signal through a signal processing unit to obtain a grey-scale map of the coal-rock interface of the heading machine; and performing image processing on the grey-scale map through a computer to obtain monitoring information of the coal-rock interface of the heading machine. The method is applied to mining of the underground heading machine on coal mines, the problem that the heading machine ineffectively mines rock stratums can be effectively solved, and the mining efficiency of the coal mines is improved.

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 invention provides a probe contact detection system based on a multi-channel pressure-sensitive film sensor, relates to the technical field of semiconductor chip packaging and testing, and is used for solving the technical problems of low sensitivity, limited area and non-uniform contact pressure in a traditional mechanical or optical contact detection method. The system comprises an objective table which is provided with a pressure-sensitive film sensor with a plurality of channels; the to-be-tested chip is adsorbed on the surfaces of the pressure-sensitive film sensors of the multiple channels in a vacuum manner; the metal probe is in contact with an electrode of the to-be-tested chip and is used for applying pressure to the to-be-tested chip under the action of external force; wherein under the condition that voltage is applied to the electrode of the chip to be tested, the metal probe is pressed down to apply pressure to the chip to be tested, at the moment, output signals of the pressure-sensitive film sensors of the multiple channels are collected, analog-to-digital conversion, signal filtering and denoising processing are carried out, and the chip to be tested is obtained. And a two-dimensional pressure mapping graph is generated to detect the pressure state and position parameters of the metal probe.

The invention belongs to the technical field of industrial production monitoring, and discloses an information mask-based industrial production anomaly detection method and a related device. The industrial production anomaly detection method based on the information mask comprises the steps of obtaining original industrial signal data to be detected in industrial production; based on the obtained original industrial signal data, performing data reconstruction by using the trained reconstruction model to obtain a data reconstruction result; and obtaining a reconstruction error between the data reconstruction result and the original industrial signal data, comparing the reconstruction error with a preset reconstruction error threshold, and obtaining an industrial production anomaly detection result based on a comparison result. According to the technical scheme disclosed by the invention, the generalization is enhanced by introducing the information mask and the reconstruction idea, so that the technical scheme can realize efficient anomaly detection in different workshops and different production lines, can adapt to different industrial environments, and can realize real-time detection of abnormal conditions in the industrial production process.

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 invention relates to the field of check valves, in particular to a self-suction sewage pump and check valve structure which comprises a check valve body, the check valve body comprises a middle through section, a water inlet is formed in one end of the middle through section, a water outlet is formed in the other end of the middle through section, and a sealing ring is installed on the lower portion in the middle through section. A sealing piston is installed on the upper side of the middle of the sealing ring, a sliding sleeve is installed in the middle of the top end of the sealing piston, a limiting sleeve is slidably connected into the sliding sleeve, a reset spring is arranged on the inner side of the limiting sleeve, a fixing bin is arranged on the upper portion of the sealing piston, and a fixing frame is fixedly connected to the middle of the periphery of the fixing bin. Water falling back can be directly blocked on the upper portion through the fixing disc and the sealing plate, so that the fixing disc and the sealing plate can be matched with the sealing ring, double sealing of the interior of the check valve body is achieved, and check sealing work can be effectively completed.

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.

The invention discloses preparation and application of a fluorescent probe for detecting hypochlorous acid, and the probe comprises phenothiazine (PZ), quinoline malononitrile (QM), hemicyanine and other structures, and has high anti-interference capability and remarkable Stokes shift. Under various stimuli, the probe can monitor the HClO level in RAW 264.7 and 4T1 cells in a red channel, can record the correlation between the HClO concentration and the breast cancer recurrence progress, is used for diagnosing the recurrent breast cancer and tracking the treatment progress of the recurrent breast cancer, and monitors the recurrence state of breast tumors through intracellular HClO fluorescence imaging. The method has theoretical guiding significance and good application prospects in the aspects of promoting early diagnosis of the recurrent breast cancer, development of therapeutic drugs and the like.

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.

The present invention relates to the technical field of pH detection, and specifically to a real-time pH detection mechanism for a reverse osmosis water treatment device, comprising a three-way pipe installed on a water outlet pipe of a reverse osmosis module, with detection pipes fixed at both ends of the three-way pipe, an insertion pipe fixedly connected to the detection pipe, a sealing component installed in the insertion pipe; and two support frames, the two support frames are respectively located on the outsides of the two detection pipes, an outer pipe is fixed on the support frame, a track groove is provided on the outer pipe, and a track plate is slidably inserted in the track groove. The detection pipe designed by the present invention is connected with the water outlet pipe of the reverse osmosis device through the three-way pipe, and a detection unit designed in cooperation is extended into the insertion pipe to directly detect the permeate in the water outlet pipe. Compared with the sampling inspection method by personnel, the permeate can be detected in real time, so that it can be judged whether the pH value of the permeate meets the standard at the first time, and the mixing of the permeate that does not meet the standard and the permeate that meets the standard is avoided, thereby improving the quality of the permeate.

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 invention relates to a memory leak detection method and device, electronic equipment and a storage medium, and the method completes the reading of an object through multiple frame cycles, only a certain number of objects are read in each frame cycle instead of reading all objects in one frame cycle, and only a small part of CPU resources are occupied, thereby avoiding the influence on the normal operation of a server, and improving the reliability of the memory leak detection. And the stability of the server is improved. Meanwhile, the program does not need to be interrupted, memory leak detection can be completed in the frame cycle period, and real-time detection of memory leak is achieved.

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.