295 results about "Group detection" patented technology

The invention relates to the technical field of unit detection, in particular to a unit magnetic variable on-line monitoring method and system, and the method comprises the steps: carrying out the multi-source data collection through a sensor, carrying out the correction of the multi-source data through a multi-dimensional calibration mechanism, synchronizing a timestamp through a dual-synchronization system, and carrying out the frequency-band-divided conditioning and standardization processing; environmental noise in the standardized multi-source data is eliminated through an intelligent algorithm, feature vectors are extracted, and purified feature vectors are obtained; screening effective abnormal features through an isolation forest algorithm; and inputting the effective abnormal features into an LSTM prediction model to obtain a corrected prediction value, substituting the corrected prediction value into a logistic regression formula to obtain a fault prediction probability of fault occurrence, calculating a health degree score, and performing graded early warning according to the health degree score. According to the scheme, through multi-dimensional calibration, working condition adaptive feature extraction and graded early warning, the unit monitoring data precision, the fault feature recognition accuracy and the operation and maintenance decision efficiency are improved.

The invention provides a low-illumination target detection method and system fusing multi-scale features and local detail enhancement. The system comprises a feature extraction network based on a multi-pooling pyramid and cross-stage double-mixed attention, a dynamic detail semantic fusion pyramid network and double groups of detection heads. The feature extraction network based on the multi-pooling pyramid and the cross-stage double-mixed attention comprises a convolutional layer, a C2PSA module, an MPSPPF module and a CSP-EDHAN module; the dynamic detail semantic fusion pyramid network is used for fusing shallow high-frequency details and deep semantic information through top-down and bottom-up multi-scale feature fusion and introducing a surface detail fusion module into multiple scales, so as to output a fused feature map; the double groups of detection heads adopt a decoupling detection branch design, and the position and the category of a target are directly predicted on a fused feature map. The method can remarkably improve the precision and robustness of target detection in a low-illumination environment, and is suitable for the fields of night monitoring, automatic driving, security and protection and the like.

The invention relates to the technical field of impurity gas detection control, and discloses an impurity detection control method and system for high-purity oxygen, and the method comprises the steps: arranging a plurality of groups of TDLAS detection probes and temperature vibration monitoring units, and obtaining a spectrum harmonic signal and temperature and vibration data; the concentration is inverted through wavelength modulation spectrum demodulation and temperature and pressure disturbance compensation; pCA fusion denoising processing is executed through the edge calculation unit, and correction concentration is output; and abnormity is judged through a multi-scale dynamic threshold mechanism and linkage control is carried out. Compared with a common single-point probe or traditional low-pass filtering in the prior art, the technical problem that interference between impurity concentration change and environmental disturbance cannot be effectively handled especially in a high-vibration and high-temperature-difference environment is solved. According to the invention, through multi-channel cooperative weighting, PCA fusion compensation and a dynamic threshold determination mechanism, accurate detection control of the high-purity oxygen conveying pipeline in an industrial environment is realized, and the automation level of pipeline impurity gas detection control is improved.

The invention provides a TBM tunneling tunnel vault settlement automatic measurement alarm device and an operation method, the TBM tunneling tunnel vault settlement automatic measurement alarm device comprises an arch-shaped frame, a plurality of groups of support arms are uniformly distributed on the arch-shaped frame, and each group of support arms extend outwards along the radial direction of the arch-shaped frame; the arched plates are arranged at intervals along the upper circumferential side of the arched frame; the plurality of groups of detection units are arranged on each arched plate at intervals along the length direction of the arched plate, and each detection unit comprises a mounting part detachably connected with the corresponding arched plate, a trigger part movably arranged on the mounting part, and a reference part arranged on the mounting part; and the alarm unit comprises a sensor arranged on the mounting piece, and an alarm and a power supply system which are electrically connected with the sensor. The triggering piece synchronously moves along with the settlement of the vault, the settlement of the vault can be visually observed on the basis of the reference piece, and manual intervention is not needed in the whole process; the sensor senses abnormal movement of the triggering piece in real time, and once the abnormal movement exceeds a safety threshold value, the alarm immediately gives an alarm.

The invention provides a remote sensing building group depth detection and change intelligent evaluation method for urban planning, and the method comprises the steps: carrying out the multi-modal data collection of a target urban region, and carrying out the standardization processing, abnormal value elimination, multi-modal alignment and interference suppression processing, and obtaining a multi-modal data set; constructing a multi-branch hybrid network, and performing triplet feature extraction on the multi-modal data set through the multi-branch hybrid network to obtain a building group fusion feature map; performing change area detection and change type classification on the two building group fusion feature maps with different time phases to obtain building group change information; and constructing a dynamic evaluation index based on the urban planning core demand, and performing building group change evaluation in combination with the building group change information. According to the method, through multi-source and multi-modal data acquisition and processing, multi-branch hybrid network triplet feature extraction and change detection and dynamic evaluation index application, urban planning core requirements are adapted, and building group detection precision and change evaluation effectiveness are improved.

The invention relates to the technical field of electronic control system testing and diagnosis, and discloses a high-precision control module detection and data analysis system and method, and the system comprises a data collection and excitation execution module which is used for carrying out data interaction with a tested control module and applying an excitation signal; the dynamic divergence calculation module is used for calculating the dynamic divergence representing the internal dynamic relation deviation degree of the tested control module according to the real-time state data of the tested control module and by comparing with a preset reference state space tensor; and the predicted deviation degree calculation module is used for calculating the predicted deviation degree between the actual state and the predicted state of the tested control module according to a preset state observer model. According to the method, a closed-loop self-adaptive test framework is adopted, active exploration is carried out by taking maximization of dynamic divergence as a target, deep faults which are difficult to expose in a conventional test and are caused by dynamic coupling failure can be efficiently found, and the depth and coverage rate of fault detection are greatly improved.

A bot detection service associated with an overlay network operates to score traffic as a probability of being a bot, as opposed to returning a binary classification (i.e., bot or human). According to the approach herein, scoring is determined through probability estimates, wherein a score (the probability) is based on considering a set of detections concurrently. In one embodiment, all (or substantially all) triggered (current) threat detections contribute to the score. The preferred approach penalizes requests that fail all (or substantially all) combinations of detection algorithms. According to a further feature, an automated tuning (autotuning) is also applied, e.g., using real-time empirical statistical models, to adapt the measurement of false positive probability for one or more threat detection algorithms to suit customer traffic trends. The approach herein is also extensible to include any number of future threat detection algorithms.

Data platforms described herein are configured to monitor a compute environment and to use machine learning models for managing security threat alerts for the compute environment. Such a data platform may identify, based on event data indicative of events occurring in the compute environment, a set of detected security threats present within the compute environment. Using a machine learning model trained based on previous event data indicative of events that occurred previously, the data platform may reduce the set of detected security threats to form a subset of prioritized security threats. The data platform may then provide security threat alerts for the compute environment in a manner that emphasizes alerts associated with prioritized security threats over alerts associated with other detected security threats of the set of detected security threats. Corresponding methods, systems, and products are also disclosed.

A method for determining occupied positions in a space starts by receiving detections of object movement from a radar monitoring the space. Each detection is associated with a position in the space and a time point when the detection was made. The method accumulates detections that have a time point within a first time period of predefined duration, and identifies a set of clusters of detections in the space by analyzing similarity in position of the accumulated detections. Any cluster whose detections are temporally distributed within a proportion of the first time period which is below a predefined proportion threshold are then removed from the set of clusters. The positions in the space that correspond to the set of clusters are determined to be occupied during the first time period.

The invention relates to the technical field of glue pudding quality detection, and discloses a glue pudding quality intelligent detection system and method based on multi-sensor fusion. The system comprises a data acquisition module, a stability analysis module, a detection parameter search module, a quality detection execution module and a quality judgment module. The data acquisition module acquires a surface image, weight and texture elasticity data set of the glue pudding sample through a multi-sensor array; the stability analysis module evaluates the acquired data to obtain image, weight and texture elastic stability factors; the detection parameter search module takes each stability factor as a joint index, and determines an optimal detection parameter group through density clustering search in a detection parameter space; the quality detection execution module detects the target glue pudding of the production line according to the optimal parameter group to obtain multi-source detection data; and the quality judgment module inputs the multi-source data into a classifier to obtain a quality grade judgment result. The system realizes comprehensive detection of the glue pudding quality, and improves the detection intelligence and automation level.

The invention, which relates to the technical field of assembling, discloses an automatic detection machine for assembling a snap spring in a connecting piece, comprising an equipment cabinet, and an A material vibration disc, a B material vibration disc, an assembling frame, a detection frame, a primary preassembling module, a secondary assembling module, an insertion and extraction force detection module, a first screening module, a CCD camera, a second screening module and a transfer module which are installed at the upper part of the equipment cabinet. The material A and the material B are supplied by a vibrating disc, the material A and the material B are preliminarily pressed by the primary preassembling module, the material A and the material B are secondarily pressed by the secondary assembling module, the insertion and extraction force is detected by the insertion and extraction force detection module, the insertion and extraction force unqualified products are removed by the first screening module, visual detection is performed by the CCD camera, the products after visual detection are sorted by the second screening module, and the press-fitting body is transferred by the transferring module. The equipment realizes automatic assembly and detection, improves the efficiency and precision, and reduces the labor cost and the rate of unqualified products.

The invention discloses an early warning method and device based on nursing requirements, a medium and a smart wearable product, and relates to the technical field of smart home / smart home, and the early warning method based on nursing requirements comprises the steps: detecting the physiological feature data of a target user through a millimeter wave radar, and obtaining the physiological feature data of the target user; detecting first temperature and humidity data and posture data of the target user through an auxiliary sensor module; and based on the physiological feature data, the first temperature and humidity data and the posture data, predicting a nursing demand value of the target user through a nursing prediction model, generating early warning information when the nursing demand value is greater than a preset threshold, and sending the early warning information to at least one terminal device. The method is different from a traditional single sensor detection scheme, through multi-dimensional data fusion, the prediction accuracy is improved, the false alarm rate is reduced, the problem of nursing response delay existing in a traditional scheme is solved, timely response in a complex environment is ensured, and the use experience of a user is improved.

The invention discloses a sensing, retrieval and positioning target detection method and system for a synthetic aperture radar remote sensing image, a storage medium and a product, belongs to the technical field of computer vision and remote sensing image processing, and solves the problem of insufficient utilization of group distribution characteristics caused by a single-target independent detection strategy. A target initial small group box is generated through a weak detector based on a synthetic aperture radar remote sensing image, and position correction is carried out; a middle group detection frame and a large group detection frame are generated step by step based on a merged group generation algorithm and a target initial small group frame before correction, and after size processing of each cutting area is completed through a Gaussian size adjustment module, the cut areas are respectively input into a middle group detector and a large group detector for detection. Obtaining a corrected middle group frame and a corrected large group frame; and inputting each corrected group box into a progressive detector based on a box integration fusion algorithm, and processing to obtain a predicted group box. The method is used for target detection in the synthetic aperture radar remote sensing image.

The application discloses a kind of unmanned aerial vehicle group detection and distinguishing method and device based on KT and DeANM, the method includes: the three-dimensional echo signal of digital beam forming transformation is obtained to echo signal in space dimension;According to the acceleration and velocity ambiguity number of three-dimensional echo signal search target, and based on wedge stone conversion algorithm to the three-dimensional echo signal after preliminary filtering compensation;According to the distance, velocity and angle of three-dimensional echo signal after compensation to target rough estimate;According to distance rough estimate value, velocity rough estimate value and angle rough estimate value, the distance dimension and angle dimension of three-dimensional echo signal after compensation are extracted Fourier inverse transform and obtain two-dimensional echo signal;Two-dimensional echo signal is decoupled atomic norm minimization processing and obtains the topley matrix of target, and the distance super-resolution estimate value and angle super-resolution estimate value of target are obtained by Van der Monde decomposition to the topley matrix of target.The present application can realize high-precision detection and distinguish to unmanned aerial vehicle group.

This utility model discloses a capsule testing device, belonging to the technical field of capsule testing machines. Specifically, it relates to a multi-purpose, fully compatible capsule testing machine, comprising a feeding hopper, a rotary feeding device, two sets of testing stations, a conveying device, a synchronization device, a testing system, a rejecting system, a finished product collection device, and a control system. This utility model is compatible with the testing of three major types of materials: empty capsules, filled capsules, and soft capsules, and can accommodate the testing needs of different capsule models. It is easy to clean and maintain, and can operate stably and uniformly, improving the accuracy and stability of testing results. This project adopts machine vision inspection principles and high-speed image processing technology to perform fully automatic, blind-spot-free testing of capsule products. It quickly models and manages different product types, counts and statistically analyzes the test results, and automatically rejects defective products. It features fast testing speed, high testing accuracy, comprehensive technical service, strong upgrade capabilities, and simple and easy-to-use equipment.

Disclosed are a method, a device and a system of a sensor integrated safety system based computing platform. The computing platform is executed on a data processing device and integrated with a set of sensors associated with components of a safety system In accordance therewith, the data processing device collects a number of parameters of the components of the safety system and / or of access thereof through detection of the number of parameters via the set of sensors. The number of parameters includes one or more parameter(s) related to breathable air from a source within the safety system supplied thereacross via a fixed piping system implemented therein and / or access of the breathable air. The data processing device also monitors the safety system and / or one or more components thereof based on the collected number of parameters.

The utility model relates to the technical field of probe position detection, in particular to a detection tool. The detection tool is used for detecting a probe assembly of to-be-tested equipment, the probe assembly comprises a plurality of probes arranged along a first horizontal direction, and the detection tool comprises a support; the detection module is arranged on the bracket and can move along a first horizontal direction relative to the bracket; the driving device is arranged on the support and connected with the detection module so as to drive the detection module to move in the first horizontal direction; the detection module comprises a first sensor, and the first sensor is configured to detect whether the detection end of each probe is located at a first preset height or not in the process of moving in the first horizontal direction. And if the detection module detects that the probe which does not need to be positioned at the first preset height is positioned at the first preset height, or the probe which needs to be positioned at the first preset height is not positioned at the first preset height, judging that the channel switching is wrong. Therefore, the condition of channel switching errors can be found through the detection module.

The present application relates to the field of chip package testing, in particular to a chip package testing system and a testing method thereof. The system comprises a testing box, the inside of which is divided into a testing room and a chip in-out room. The testing room is divided into a feeding room with adsorption equipment and detection equipment, a discharging room, and two groups of detection rooms. The rotating plate is divided into four groups of rotatable detection stations, each of which is provided with a positioning assembly. The testing box is also provided with a feeding box, a qualified product discharging box, an unqualified product discharging box, and a controller. Through the rotation of the detection stations, the feeding room, the two groups of detection rooms, and the discharging room are sequentially opposite, and the feeding, detection, and classified discharging are automatically performed. The structure is compact, and the items for simultaneous detection can be installed and replaced according to needs. The detection process is cyclic, continuous, efficient, and intelligent. After the detection is completed, the qualified products and unqualified products are classified and recycled, the detection results are intuitive, the classification and statistics are convenient, and the detection efficiency is improved.

The utility model relates to the technical field of piston sorting, in particular to automatic sorting equipment for piston assembly assembling defects. The device comprises a rectangular bottom plate, and supporting legs are fixedly connected to the four corners of the bottom side of the rectangular bottom plate. Due to the fact that existing piston detection and sorting basically depend on manual detection and sorting, omission is inevitably caused by manual detection and sorting, piston assemblies can be conveyed through the arranged conveying assembly, in the conveying process, the appearance of the piston assemblies is detected through the two detection assemblies, and the detection accuracy of the piston assemblies is improved. And when the piston assembly with the defective appearance is encountered, the two detection assemblies transmit data to the data processor, and the data processor drives the sorting assembly to sort the piston assembly, so that the effects of conveying, detecting and sorting can be achieved, omission caused by manual detection and sorting is avoided, and the working efficiency is improved. And the production speed of the piston assembly can be increased.

The invention relates to the technical field of ancient building protection and digital detection, in particular to an ancient building non-standard process quality verification device based on augmented reality, which comprises a rack and a device body, the device body comprises a connecting piece, a connecting holding rod and a control terminal, and the connecting piece is composed of a supporting bottom column, a connecting disc and a supporting top column. The connecting holding rod is composed of a holding rod body and a protective sleeve, detection mechanisms are further arranged at the top end of the holding rod body, the control terminal is arranged on the top face of the supporting top column, and a control system and a control component are arranged in the control terminal. The device is simple in structure and convenient to use, can face some angles, can also hold the link holding rod to detect, is convenient to carry, disassemble and assemble, detects various physical data of the ancient building through the three sensors respectively, draws and compares the data through the control system, has high precision, avoids subjectivity of manual detection, and is low in error.

The invention discloses a road compaction quality detection device, relates to the field of detection devices, and aims to solve the problems that detection is performed by mounting detection pieces on multiple groups of rollers, but the structures of the rollers are fixed structures, and multiple groups of detection units arranged on the rollers are located at the same height, so that a road on which the current rollers run cannot be accurately measured; the telescopic end of the electric push cylinder is connected with the mounting frame, so that the distance between the outer sleeve and the ground is controlled, the outer sleeve is attached to the ground, the ground extrudes the outer touch probe, the bottom end of the induction probe makes contact with the telescopic outer touch probe, telescopic movement is conducted, and under the cooperation of a resistance wire on the sliding column and a sliding piece, the electric push cylinder is driven to rotate. The display screen on the control panel displays different coefficient changes according to the advancing route of the slip sheet, so that the detection condition of the current road surface is recorded, and compared with the prior art, the real condition of the advancing route of each group of jackets can be clearly known through the arrangement of the multiple groups of external touch probes on the jackets.

The invention discloses an automatic batch detection method for multifunctional meters. The method comprises the following steps: (1) constructing a detection system by adopting a standard source, a current relay, a communication relay and a control system, and establishing a detection unit group; (2) detecting system line connection; (3) address setting: in the address setting process, addresses are allocated to all the to-be-tested multifunctional meters in sequence, and the to-be-tested multifunctional meters are in an online state; and (4) power-on test: the control system compares detection data with standard data output by the standard source to judge whether an error is within an allowable range, namely whether the product is qualified. The device has the advantages that addresses of newly-installed multifunctional meters can be automatically modified in sequence through the on-off mode of the relays, the address conflict problem is effectively prevented, and the number of detection instruments can be set through the on-off mode of the relays.

The application relates to a ball pin blank forging detection device and method, and relates to the technical field of detection devices. The device comprises a workbench and a fixing disc arranged on the workbench. The fixing disc is in a cylindrical shape, and a ball pin is coaxially arranged at the axial position of the fixing disc. The workbench is provided with a conveying assembly for feeding and discharging the ball pin, a fixing assembly for fixing and lifting adjusting the ball pin, and a detection assembly for hardness detection of the ball pin. The detection assembly is provided with three groups. The three groups of detection assemblies are uniformly arranged along the circumferential direction of the fixing disc. The detection assembly comprises a sliding block slidingly arranged on the fixing disc. The sliding block slides along the radial direction of the fixing disc, and one end of the sliding block protrudes from the inner circumferential wall of the fixing disc. The sliding block comprises a first sliding block and a second sliding block arranged oppositely. The first sliding block is located directly above the second sliding block. The application has the effects of improving the accuracy of hardness detection and improving the detection efficiency.

The invention relates to the technical field of gas meter production equipment, in particular to a gas meter movement group detection assembly line. The leakage detection unit, the rocker assembly unit and the running-in unit are sequentially arranged at the position adjacent to the first conveying mechanism in the conveying direction of the first conveying mechanism. The second conveying mechanism is provided with a circulating path and is used for receiving the running-in movement group; according to the scheme, a plurality of key procedures of leakage detection, rocker assembly, running-in, error detection, clip assembly and the like of the movement group are integrated on a unified assembly line, so that the inter-procedure material transfer and waiting time is shortened, the continuity and automation of the production process are realized, and the production efficiency is greatly improved; and the second conveying mechanism is provided with a circulation path, and is matched with the error curve detection unit and the error correction unit, so that automatic shunting, correction and recycling detection of unqualified movement groups are realized, and manual intervention is reduced as much as possible.

The utility model relates to the technical field of cam detection, especially to a cam curve parameter detection device, including detection table, positioning assembly, rotation structure, frame, detection assembly and data processing module, positioning assembly sets up at the top of detection table through rotation structure, positioning assembly is used for positioning the cam of detection, and rotation structure is used for driving the rotation of the cam of detection, frame is fixed in the outside of detection table, positioning assembly and rotation structure, two sets of detection assembly install on the frame and are used for gathering the curve parameter of the cam of detection, data processing module is electrically connected with detection assembly and is used for receiving and processing the parameter data that detection assembly gathered, and it is through the cooperation of non -contact detection assembly and adaptable positioning structure, realizes the automation integrated detection of multi -specification cam curve parameter under the stable controllable detection environment, promotes the detection efficiency, accuracy and adaptability.

The invention discloses a radian detection tool which comprises an arc-shaped detection plate, a detection positioning roller is fixedly assembled at one end of the arc-shaped detection plate, and a detection fixing handle is fixedly assembled at one end of the detection positioning roller; according to the invention, the two groups of detection positioning rollers are attached to the wall surfaces at the two sides of a wall corner to achieve the positioning effect of the whole device, at the moment, the arc detection plate is attached to an arc angle, and the detection equipment slides in the direction of the wall corner by holding the detection handle rod; whether the radian of a wall corner is qualified or not can be quickly detected through the convex fitting arc-shaped plate or the concave fitting arc-shaped plate on one side of the arc-shaped detection plate, and during detection, the pressure of multiple different positions can be monitored in real time through multiple groups of convex pressure sensor connecting rods and concave pressure sensor connecting rods. Therefore, the detection effect can be more accurately realized, and the detection equipment with the structure can conveniently and rapidly adapt and adjust the whole equipment according to different detection requirements, so that the use is more convenient.

The utility model discloses wafer rack box detection equipment, which is characterized in that a wafer rack box is placed on a placing platform, a multi-axis driving group, a detection group, the placing platform and a light source group are started, the light source group provides illumination for the detection group, and the detection group is driven by the multi-axis driving group to be close to the wafer rack box so as to detect the wafer rack box. And contact detection and visual detection are carried out on each dimensional point of the wafer rack box, so that multi-dimensional detection is realized, and the detection precision and accuracy are improved.

The invention relates to the field of underground detection, and discloses a super-large-scale water-containing underground goaf drilling and loading unmanned ship group detection system and method, and the system comprises a drill bit storage module, an unmanned ship group, an underwater communication module and a central data processing module. The drill bit storage module is used for realizing deployment and recovery of the unmanned ship group; underground goaf data collected by the unmanned ship group is sent to the central data processing module through the underwater communication module to be processed, and an underground goaf holographic three-dimensional model is obtained. The method has the beneficial effects that the detection efficiency is greatly improved, and efficient detection of the super-large-scale water-containing goaf can be completed with less manual intervention. The mode of cooperative operation of multiple unmanned ships significantly expands the coverage range of single detection, and the detection efficiency is improved by several times compared with that of a single robot. And meanwhile, the embedded processing module of the drilling and loading platform supports real-time data analysis and modeling, so that the post-processing time is further shortened.

The invention relates to the technical field of safety detection of a natural gas pipeline in a natural gas pipe gallery, in particular to a flexible array eddy current multi-parameter detection system and method for the natural gas pipeline, and the system comprises an upper computer, an excitation module, an array probe, a collection module and a power supply module detection method for providing a working power supply for the excitation module and the collection module. The method comprises the following specific steps: step 1, initializing a system and installing a probe; step 2, setting detection parameters; step 3, real-time monitoring and signal acquisition; 4, acquiring and storing a reference signal; step 5, differential signal extraction; step 6, establishing a calibration curve; 7, analyzing and calculating parameters; and step 8, displaying a result. Step 9, retesting the key area; the flexible excitation coil and the four groups of detection coils are adopted, so that the system is very suitable for pipeline curved surface detection, settlement, displacement, crack defects, weld defects and coating thickness measurement are realized at the same time, equipment redundancy and operation cost are reduced, and the system is simple in structure.

The embodiment of the present application provides a parcel image segmentation method, device, system and image processing equipment, the method is applied to the image processing equipment in the security inspection system, the security inspection system further includes a security inspection equipment, the security inspection equipment has a detector and a detection unit, the detection unit includes multiple groups of detectors, the detection range of the multiple groups of detectors covers the space of the preset height perpendicular to the conveying belt transmission direction of the security inspection equipment, and the method comprises the following steps: obtaining parcel data detected by the detector in the operation process of the security inspection equipment and a detection result of the detection unit; in the case that the detection result indicates that there is no parcel on the conveying belt, determining parcel data in the parcel data based on the difference between the parcel data and reference data; and based on the parcel data, the parcel data is segmented to obtain a parcel image. The embodiment of the present application can improve the accuracy of parcel image segmentation and reduce the loss of parcel data.