22results about How to "Resolve detection" patented technology

The invention relates to the technical field of ship automatic control and information safety, solves the technical problem that a traditional method cannot effectively monitor in real time and quickly give an early warning to prevent various accidents when an inland ship is in a complex and changeable operating environment, and particularly relates to an abnormal state detection method and system for a shore-based driving and controlling inland ship group. The method comprises four parts: identity authentication, node anomaly detection, dynamic trust evaluation and node adaptive control. According to the method, only reliable entities can participate in communication through a strict verification process and continuous trust evaluation, so that communication safety is enhanced, comprehensive and real-time monitoring of inland ship groups is realized, abnormal conditions such as physical faults or network attacks can be found in time, potential risks can be warned in advance, and the inland ship groups can be monitored in real time. Therefore, the safety and the reliability of the whole navigation are improved.

The invention belongs to the technical field of machining, and particularly relates to a process control method for the axial linear size of an inner groove of a micro part. Comprising the steps that 1, an inner hole and an end face on the opposite side of a control edge of an inner groove are machined to theoretical sizes; 2, machining an inner hole in the corresponding side of the control edge of the inner groove to a first size, wherein the first size is obtained by subtracting the first value b from the theoretical value; 3, determining a tool nose fillet R; 4, machining the inner hole in the corresponding side of the control edge to a first size by adopting a tool nose with a fillet R; 5, machining the inner groove to a first groove width by using a tool nose with a fillet R, wherein the inner groove and the inner hole on the corresponding side of the control edge form a measuring surface; step 6, measuring the distance from the end face on the opposite side of the control side to the measurement surface by using a depth micrometer; and 7, under the condition that the distance meets the threshold value, an inner hole in the side corresponding to the control edge of the inner groove is machined to the theoretical size through a tool nose with a fillet R, and the width of the inner groove is changed into the theoretical groove width from the first groove width at the moment.

The embodiment of the application discloses a multi-dimensional clutter map generation method and system. The method comprises the following steps: establishing a clutter map node and a plurality of signal processing nodes, and establishing a clutter map numbering mechanism; using the plurality of signal processing nodes to respectively receive echo data and control words, sending an application package to the clutter map node after completing control word analysis, and respectively performing pulse compression and accumulation processing on the echo data by the signal processing nodes to obtain signal amplitudes; using the clutter map node to buffer and analyze the application package one by one, searching for corresponding clutter maps according to the clutter map number, and sending the clutter maps meeting the conditions to the signal processing nodes through a distribution package; respectively completing target detection according to the clutter map threshold of the distribution package by the plurality of signal processing nodes, and sending the signal amplitudes to the clutter map node as an update package; searching for corresponding clutter maps according to the update package by the clutter map node, and completing clutter map updating; and repeatedly interacting the application package, the distribution package and the update package to generate a multi-dimensional clutter map in real time.

The present invention provides a method and device for detecting storage locations, a storage medium and an electronic device, wherein the method comprises: establishing a three-dimensional voxel probability map based on the relative positions of a plurality of time-of-flight ToF cameras in different orientations and RGB images of the plurality of ToF cameras; determining the semantics of a preset obstacle according to the three-dimensional voxel probability map and the vertical height distribution characteristics of the preset obstacle; extracting a two-dimensional storage location of a dockable storage location according to a preset storage location model and the determined semantics of the preset obstacle, and determining a three-dimensional storage location corresponding to the two-dimensional storage location in combination with the three-dimensional voxel probability map, thereby solving the problem in the related art that the storage location can only be detected by means of two-dimensional storage location detection.

An embodiment of the utility model provides a continuous type detecting and sealing all-in-one machine, which relates to the technical field of packaging machinery and comprises a mounting rack, a longitudinal sealing mechanism and a transverse sealing mechanism, the longitudinal sealing mechanism and the transverse sealing mechanism are arranged on the lateral side of the mounting rack and connected with a metering mechanism at the upper end, and a detecting mechanism is arranged at the lower end of the transverse sealing mechanism. A packaging roll film is conveyed to the bagging mechanism through the film conveying mechanism to be rolled into a barrel shape to be formed, the longitudinal sealing mechanism completes sealing to enable the roll film to be in a barrel bag shape and meanwhile pulls the film downwards at a constant speed, the transverse sealing mechanism seals the bottom to enable the barrel bag to seal the bottom edge, and the metering mechanism meters products and then puts the products into the barrel bag. The transverse sealing mechanism rotates to the other side to complete sealing of the barrel bag, the sealed barrel bag is conveyed to the detection mechanism to detect the sealing condition, then the barrel bag is conveyed to the cutting mechanism to be cut off, the detection mechanism forms a complete package through a detected product, the package and finished product detection problem is solved, and the stability of package production in overall use is guaranteed.

The invention belongs to the technical field of pharmaceutical analysis, particularly relates to a method for detecting methylamine in Vonoprasone fumarate, and provides a convenient, efficient and accurate detection method for solving the problem of detection of methylamine in Vonoprasone fumarate. Derivative products are detected by liquid chromatography, the content of methylamine in the Vonoprazan fumarate can be detected, so that medication safety is effectively guaranteed, quality control of the Vonoprazan fumarate is facilitated, the method is convenient, efficient and accurate, the system applicability, repeatability, specificity and accuracy completely conform to the guidance principle verified by methods in Chinese pharmacopoeia, and the method is suitable for popularization and application. The method can be used for quality control of the Vonoprasone fumarate.

The utility model relates to a fixing device for motor detection, which comprises a bottom plate, a working table arranged above the bottom plate and a lifting mechanism connected between the bottom plate and the working table, a flat plate is arranged above the working table in a sliding manner, a sliding plate is arranged in the center of the flat plate in a sliding manner, and a cushion block for placing a motor is connected in the center of the sliding plate in a sliding manner. A pressing mechanism used for clamping and fixing a motor is arranged above the sliding plate, the lifting mechanism comprises a hoop connected with the bottom plate, the center of the hoop is in threaded connection with a stud, the upper portion of the stud is in threaded connection with a threaded sleeve, and the threaded sleeve is sleeved with a clamping ring connected with the workbench. A pressing plate used for fixing the threaded sleeve is arranged on the inner surface of the clamping ring in a sliding mode, and the outer portion of the clamping ring is in threaded connection with a rotary knob used for pushing the pressing plate. According to the fixing device, the motor can be quickly fixed, disassembled and assembled, and can be correspondingly adjusted and fixed according to the height requirement of the motor or a detection device, so that a user can conveniently and quickly detect the motor.

The invention provides a method for detecting the number of rod-shaped materials in a disc box, and the method comprises the following steps: obtaining a disc box image, and carrying out the preprocessing of the disc box image; performing bar-shaped material detection on the preprocessed disc box image based on threshold segmentation and Hough circle detection, and determining the number of bar-shaped materials in the disc box image based on a bar-shaped material detection result; carrying out hole identification detection on the preprocessed disk box image based on a contour extraction method, and determining the number of holes in the disk box image based on a hole identification detection result; and calculating a difference value between the number of the rod-shaped materials and the number of the holes, wherein the difference value is the final number of the rod-shaped materials in the disc box.

The utility model discloses a hot rolling velocimeter detection point oxide scale cleaning device which comprises a first processing section, the first processing section and a second processing section are arranged in parallel, and the first processing section and the second processing section are fixed on a hot rolling velocimeter detection unit base. The first treatment section comprises a first treatment bin and a second treatment bin, the second treatment section comprises a bracket with a compressed air header pipe, and the first treatment section and the second treatment section are used for removing and cleaning oxide scales of strip steel entering the first treatment section and the second treatment section. According to the utility model, the high-pressure water gun and the compressed air header pipe are connected with an on-site compressed air pipeline to provide compressed air with relatively equal pressure for the plurality of nozzles, so that the detection influence of hot rolling line strip steel oxide scale on the tachymeter is effectively solved.

The utility model discloses a resin lens glue injection and detection integrated device based on machine vision, and relates to the technical field of glue injection and detection integrated devices. A conveying assembly used for moving is arranged at the upper end of the bottom plate, and a clamping and rotating assembly used for clamping and rotating the resin lens is arranged on the conveying assembly. According to the device, a resin lens is placed between two extrusion blocks, two oppositely-arranged second electric cylinders are started to enable the two extrusion blocks to be close to each other, the resin lens can be rapidly extruded and clamped between the two extrusion blocks, a movable frame is arranged at the left end and the right end of the inner wall of a second U-shaped block, so that a mounting block is matched with a first groove, and the resin lens is rapidly extruded and clamped between the two extrusion blocks. And then a first electric cylinder is started to adjust the height of a lifting block, so that a positioning column is inserted into a first through hole, a second through hole and a second groove, the lens can be quickly fixed, and the problem that in the prior art, when a glue injection and detection integrated device is used, the resin lens is generally inconvenient to quickly clamp and fix is solved.

The invention discloses an X-ray fluorescence determination method for a glass fiber batch. The method comprises the following steps: manufacturing a sample piece to be detected, preparing a calibration sample, manufacturing a calibration sample piece, establishing a working curve of an X-ray fluorescence spectrometer for detecting the glass fiber batch, analyzing the sample piece to be detected, and calculating the mass percent of a glass fiber component. According to the method, a wavelength dispersion X-ray fluorescence spectrometer is adopted for determining the chemical components such as fluorine, boron, sulfur, carbon, silicon and aluminum and the COD content in the glass fiber batch with different formulas, operation is easy and convenient, the analysis speed is high, the measurement accuracy and precision are good, pollution of chemical waste liquid is greatly reduced, and the method is suitable for industrial production. The components of the glass fiber and the sulfur and chemical oxygen demand (COD) in the glass fiber batch are predicted in advance.

The invention relates to the technical field of path detection, in particular to a vision-based path center line detection method, which comprises the following steps of: acquiring an image by using a camera, calculating a mask of a fruit tree by using threshold segmentation and morphological filtering, and settling a fruit tree region by using a connected domain; aligning the color map with the depth map, performing coordinate transformation and grid division, calculating three-dimensional coordinates of the central point in a camera coordinate system one by one based on a fruit tree region and the aligned depth map, and obtaining obstacle point cloud information; according to the method, a traditional image processing technology and a point cloud information processing technology are fused, so that the robot detects the obstacles on the two sides of a road in real time, and a proper course adjustment angle is calculated to avoid the obstacles; the robot can return to the center line of the main road after leaving the obstacle area, it is guaranteed that the robot can avoid obstacles and can run on the relative center line of the road all the time, and the influence of irregular environment characteristics is overcome.

The present invention provides an anomaly detection method, system, medium, electronic device and anomaly detection model; the anomaly detection model comprises: an anomaly filter, a global semantic embedding block, a multi-scale channel autoencoder and a student feature restoration network; the global semantic embedding block is connected with the anomaly filter, and the global semantic embedding block is used to obtain a deep semantic information flow; the multi-scale channel autoencoder is used to obtain a normal detail information flow; the student feature restoration network is used to obtain a student feature map based on the deep semantic information flow and the normal detail information flow; the student feature map is compared with the teacher feature map to obtain an anomaly map, so as to realize anomaly detection of an image to be tested based on the anomaly map; the present invention uses the dual information flow of the deep semantic information flow and the normal detail information flow for anomaly detection, which helps the student feature restoration network to simultaneously reconstruct semantic and detail features, and effectively solves the detection problem of large defects and semantic structure defects.

The invention discloses a photovoltaic module and a risk assessment method, and voltage data collected by a first voltage sensor, a second voltage sensor and a third voltage sensor can be used for obtaining the voltage of three battery strings, so that the problem that each battery string in the photovoltaic module cannot be detected is solved. Moreover, the connection mode in the embodiment does not adopt a mode of detecting the voltage at the two ends of a single battery string, so that the capability of detecting the negative voltage is not needed, and the cost of the voltage sensor can be greatly reduced. Besides, the three voltage sensors and the three diodes can be integrated through the connection mode adopted in the embodiment, so that technical improvement can be completed on the basis that an existing design scheme is slightly changed as much as possible, and the requirement for risk assessment of the battery string is met with low cost.

The invention belongs to the technical field of pharmaceutical analysis, particularly relates to a method for detecting 4-(1, 1-dibromoethyl)-6-chloro-5-fluoropyrimidine in voriconazole, and provides a convenient, efficient and accurate detection method for solving the problem of detection of 4-(1, 1-dibromoethyl)-6-chloro-5-fluoropyrimidine in voriconazole. The content of 4-(1, 1-dibromoethyl)-6-chloro-5-fluoropyrimidine in voriconazole can be detected, so that the medication safety is effectively guaranteed, the quality control of voriconazole is facilitated, the method is convenient, efficient and accurate, the system applicability, repeatability, specificity and accuracy completely conform to the guidance principle verified by methods in Chinese Pharmacopoeia, and the method is suitable for popularization and application. The method can be used for quality control of voriconazole.

The invention discloses an intelligent flood discharge pool drainage device for an airport, comprising: a side wall flood discharge pool, two side walls are arranged on one opposite side of the flood discharge pool, a water inlet side wall and a flood discharge scattering side wall are arranged on the other opposite side, a plurality of drainage pipes are buried in the water inlet side wall, the flood discharge scattering side wall is connected to the scattering surface, the pipe is connected to the flood discharge pool and a water pump through one of the two side walls, and one end of the pipe connected to the water pump extends to a clean water pool; the clean water pool is used to purify the extracted water, and the clean water pool is respectively connected to an air conditioning grey water pipe, a grey water toilet flushing pipe and an irrigation pipe; the water pump is connected to a solar panel through a solar water quality monitor; the water pump is a solar pumping water pump; the water inlet side wall, the flood discharge scattering side wall and the side walls are all flexible honeycomb ecological side walls; polypropylene high molecular polymer is used for thermoplastic molding; the height of the flood discharge scattering side wall is lower than the two side walls (3) and the water inlet side wall.

The utility model relates to the technical field of worm gear and worm testing, in particular to a worm gear and worm testing tool, which is characterized in that during detection, a worm gear is placed on a placement block, the worm gear is fixed on the placement block through a clamping assembly, an adjusting cylinder is started, the position of a clamping chuck is adjusted by the adjusting cylinder according to the length of the worm, and the worm is clamped and fixed by the clamping chuck; when a pushing component is started, the pushing component pushes a supporting frame, the supporting frame slides on a sliding guide rail through a sliding block, so that a worm is meshed with a worm gear, when a driving component is started, the driving component drives a rotating disc to rotate, the rotating disc drives an adjusting air cylinder, a clamping chuck and the worm to rotate, and the worm rotates to drive the worm gear to rotate; when the worm gear drives the placing block and the rotating shaft to rotate, the rotating speed of the rotating shaft is detected through the tester, so that the tester clamps the transmission efficiency of the worm gear and the worm.

The application discloses an angle-adjustable multifunctional support, when the groove of the supporting block is rotated on the boss of the base for angle adjustment, the locking screw A and the inner locking screw B are first screwed out and no longer tightly limited, the aviation parts are perpendicularly leaned on two perpendicular datum surfaces of the supporting block, the supporting block with the aviation parts is rotated on the base for angle adjustment, at this time, the scale value of the adjusted angle can be observed through the correspondence of the angle scale A and the angle scale B, when any one of the multiple inclined surfaces of the aviation parts is presented horizontally, the aviation parts are removed, the locking screw A and the inner locking screw B are screwed in, the supporting block is tightly limited by the inner locking screw A and the inner locking screw B and can no longer be circularly and angularly rotated with the base, the aviation parts are perpendicularly leaned on the two perpendicular datum surfaces, and then the inclined surface presented horizontally is detected, so that the problem that the multiple inclined surfaces cannot be correspondingly rotated to be presented horizontally for detection is solved.

The present application belongs to the field of chemical analysis test, and particularly relates to a coumarin fluorescent probe based on aminobenzaldehyde for preparing a reagent for detecting mercaptosuccinic acid and a preparation method. 2-Aminobenzaldehyde and 7-(diethylamino)coumarin-3-carboxylic acid are dissolved in dichloromethane, 1-ethyl-(3-dimethylaminoaldehyde) carbonyldiimidazole hydrochloride (EDCI) and 1-hydroxybenzotriazole (HBOT) are added as condensing agents, and the reaction is stirred at room temperature. The obtained crude product is separated and purified by thin layer chromatography to obtain the final yellow product, the coumarin fluorescent probe Y-SH based on aminobenzaldehyde. The coumarin fluorescent probe prepared by the present application can rapidly detect mercaptosuccinic acid in deionized water.

The utility model discloses an automatic detection device for lens surface defects of a laser cutting machine. The automatic detection device comprises a base, a core control module, a clamping assembly, a camera assembly and an active light source, the core control module is connected with the camera assembly and is used for controlling the camera assembly; the active light source is arranged on the base and is used for emitting active detection light and enabling the active detection light to irradiate the surface of a lens to be detected; the clamping assembly is connected with the base and is used for fixing the camera assembly and a to-be-detected lens; the camera assembly is used for obtaining images of the to-be-detected lens from multiple angles. According to the automatic lens surface defect detection technology, the risk of secondary pollution to the lens of the laser cutting machine during detection is avoided, and the automatic lens surface defect detection technology has the advantages of being high in recognition rate, high in detection speed, comprehensive in detected defect type and the like.

The invention discloses an image region extraction and segmentation method based on deep learning and a visual algorithm, and belongs to the technical field of image processing and analysis. SA1, data acquisition and data preprocessing: collecting information such as paper, a computer screen and a mobile phone screenshot which are shot by a user, and manually excluding the conditions of pictures which do not belong to the three types as original data; sA2, constructing a data set: manually marking the edge of a polygon foreground, then processing and filling the edge as a mask as a mask target, and constructing a training set, a test set and a verification set in combination with the mask and a picture image; sA3, establishing a deep learning model: constructing a deep learning network DocSegNet composed of an edge extraction network and a deep learning network, and initializing network parameters of the deep learning network DocSegNet; sA4, training the DocSegNet: performing supervised training on the whole DocSegNet, taking all test sets and training sets, performing training by a cross validation method, taking a network model with the minimum average loss, and storing the model.

The invention discloses a signal detection method and system based on iterative estimation in composite Gaussian clutter, belonging to the field of radar target detection. First, it is assumed that clutter from different distance units has the same covariance matrix structure, but has unknown power mismatch, and the mismatch amount is a non-random non-negative number. Then, the clutter covariance matrix estimation value is constructed using the power mismatch amount obtained by the iterative estimation and the data to be detected, the training sample, and the iterative estimation. Then, the test statistic is calculated, and the detection threshold is determined according to the false alarm probability. Finally, the size between the test statistic and the detection threshold is compared. If the test statistic is greater than the detection threshold, it is determined that the target exists, otherwise it is determined that the target does not exist. The detection method and system of the invention take into account the problem of power mismatch in the training sample in the composite Gaussian clutter, obtain all the mismatch amounts through iterative estimation, and realize clutter suppression, signal accumulation and target judgment in an integrated manner, simplify the process, and improve the detection performance.