82results about How to "Guaranteed detection efficiency" patented technology

The invention discloses a wafer film defect detection system and method, and relates to the technical field of wafer film defect detection.The wafer film defect detection method comprises the following steps that in the wafer film defect detection process, laser beams are emitted through a laser scanner according to the preset light beam coverage rate, and the surface of a wafer is covered for preliminary scanning; in the laser beam scanning process, the intensity and the consistency of laser reflection signals are analyzed in real time. According to the invention, preliminary scanning is carried out by presetting the light beam coverage rate, the significance of the potential flaw area is evaluated by using the convolutional neural network, accurate classification of the flaw obvious area and the flaw non-obvious area is realized, high-density secondary scanning is carried out by dynamically adjusting the light beam coverage rate for the flaw non-obvious area, and finer surface information is captured. The detection efficiency is improved, the risks of missing detection and false detection are effectively reduced, the accurate detection of tiny flaws is ensured, the quality control of wafer film pasting is remarkably improved, and the production loss is avoided.

The invention discloses an AI-driven information security big data supervision method and system, and relates to the technical field of data supervision. Comprising the following steps: receiving data streams from different sources in real time, preprocessing the data streams, performing multi-dimensional dynamic label processing, and storing the data streams in different nodes in a distributed manner; calling an adaptive AI model for the distributed storage data in real time, and automatically adjusting parameters of the adaptive AI model based on the traffic change condition; when the adaptive AI model monitors an abnormal data stream, performing secondary intelligent grading analysis, and judging the type, the source and the potential threat level of the abnormality; when a high-risk anomaly is detected, an event-driven response mechanism is automatically triggered; and an event response result and a processing state are fed back to the adaptive AI model, and learning parameters and decision logic of the model are optimized. Under the support of multi-dimensional dynamic label processing, mass data streams can be flexibly and efficiently processed.

The invention belongs to the technical field of seam welding detection, and particularly discloses and provides a roof waterproof roll seam welding detection method which comprises the following steps: constructing a three-dimensional model of a to-be-constructed welding area, and marking the type of a welding detection point; welding characteristic analysis is conducted on the welding area, and all welding characteristic indexes are obtained; the number of welding detection points is determined, and the welding detection points are marked; confirming a standard passing threshold value of each welding detection point corresponding to each welding detection index; building a welding quality inspection model; sequentially carrying out quality inspection according to a set welding quality inspection plan, and recording quality inspection values; and the welding quality score value is output, and a welding quality inspection report of the waterproof coiled material is constructed and fed back. According to the method, the defect that current welding detection points are arranged comprehensively is effectively overcome, the specific welding characteristics of the waterproof coiled material are fully combined, the adaptability of a seam welding detection scene of the roof waterproof coiled material is improved, and meanwhile the representativeness and rationality of a welding detection result are guaranteed.

The invention discloses an ammonia nitrogen detection system and an application method thereof, and ammonia nitrogen detection test paper, the ammonia nitrogen detection system is prepared by the following steps: step SA1) preparing a dipping mixed solution, the dipping mixed solution comprises: a potassium sodium tartrate solution with a concentration of 3-60 g / L; a sodium salicylate solution with a concentration of 20-320 g / L; the concentration of the sodium nitroprusside solution is 0.1 to 0.8 g / L; and deionized water. On the basis of the principle of salicylic acid-pypocholoride spectrophotometry, the impregnated test paper, the reagent tube and the standard colorimetric card are combined, and the rapid ammonia nitrogen detection system special for medium-concentration sewage detection is successfully developed. The toxicity problem of mercury iodide in a Nessler reagent method and the toxicity problem of phenol in a phenol-pypocholoride spectrophotometric method are avoided, main reagents are non-toxic and harmless to a human body, interference of metal ions in a water sample can be effectively eliminated by adopting sodium potassium tartrate tetrahydrate as a chelating agent, and the detection stability and accuracy are improved.

The invention discloses a personnel off-post detection method and device, a storage medium and a computer program product, and relates to the technical field of artificial intelligence, and the method comprises the steps: obtaining a current frame monitoring image in a target monitoring scene, and transmitting the current frame monitoring image to a YOLO target detection model to obtain a first image personnel number; if the number of the first image personnel is smaller than the preset number of post personnel, detecting whether the post lacking duration reaches the preset duration or not; if the off-duty duration reaches the preset duration, detecting the current frame of monitoring image through a multi-modal target detection model to obtain a second image personnel number; and if the number of personnel in the second image is smaller than the number of post personnel, determining that personnel leaving exists in the target monitoring scene. According to the method and the device, the high efficiency of the YOLO target detection model and the high accuracy of the multi-modal target detection model are combined, so that the relatively high detection efficiency is maintained, and the accuracy of personnel off-post detection is improved.

The invention discloses a thrown object detection method and system based on a traditional algorithm and deep learning. The method comprises the following steps: sequentially carrying out background filtering, category labeling, data enhancement, rasterizing operation and rasterizing partitioning, ground filtering and point cloud compensation on an original point cloud set to obtain a post-processing point cloud set; performing model training by taking the post-processing point cloud set as a training sample, and introducing a terrain clearance factor to obtain a target point cloud segmentation network model; performing background filtering, ground filtering and point cloud compensation on the to-be-detected point cloud in sequence to obtain to-be-detected post-processing point cloud; inputting the post-processing point cloud to be detected into the target point cloud segmentation network model for prediction to obtain the category of each point; and extracting the points of which the category is the throwing object, and calculating an external frame of the points to obtain the center position and the length, width and height size information of the throwing object. The method provided by the invention can accurately detect the small target thrown object, and improves the detection precision while ensuring the detection efficiency of the thrown object.

The invention discloses an underwater small target detection method based on feature screening and context fusion, and the method comprises the steps: improving a YOLOv3 network model, carrying out the feature screening and context fusion in a backbone network, constructing a target detection YOLOv3-CTE network model, carrying out the sparse training and optimization processing of a pruning network model of the target detection YOLOv3-CTE through a sample training set, and carrying out the detection of an underwater small target. Obtaining an optimal target detection network model; the sample verification set is adopted to verify the optimal target detection network model, a network model verification result is obtained, and the optimal target detection network model is updated according to the network model verification result; and predicting the sample test set based on the updated optimal target detection network model to obtain a detection result of the underwater small target. According to the method, in the underwater small target detection process, the parameter quantity can be reduced to a great extent, meanwhile, the calculation speed of the model is improved, and the classification and recognition accuracy of the underwater small target is further improved on the premise that the detection efficiency is guaranteed.

The invention discloses a structural damage grading identification method and system based on a deep learning classification algorithm, and relates to the technical field of structural health monitoring, and the method comprises the following steps: carrying out the preprocessing and enhancement of structural damage image data in a first-stage data set, and forming a second-stage data set; retaining the structure damage image with the optimal quality as a third-level data set; taking the category with the maximum classification probability value as the damage type of the damaged image block; and splicing the non-damaged image blocks and the marked damaged image blocks to obtain a final identification result. According to the method, a multi-level structure damage identification function is realized based on a deep learning classification algorithm, and compared with a traditional single-layer model or other existing detection models, the deep neural network model has the characteristic of gradually refining detection and identification through modular design; the method has the structural damage self-adaptive identification capability capable of automatically identifying various damage types, positions and degrees of the structure.

The invention discloses an inspection system suitable for a steel box girder, which belongs to the technical field of bridge engineering, and is characterized in that a walking track is arranged in the steel box girder, an inspection robot is arranged on the walking track, and a chassis walking mechanism, a space mechanical arm and a shooting module are combined to inspect the steel box girder. The shooting module can be driven by the chassis walking mechanism to penetrate through the partition plate in the box girder to walk when the space mechanical arm is in the initial stacking state, and is driven to the corresponding shooting position through folding / unfolding control of the space mechanical arm after moving in place, and therefore detection of the interior of the steel box girder is completed. The inspection system provided by the invention is simple in structure and convenient to use, can automatically complete the detection of the interior of the steel box girder, ensures the efficiency and accuracy of the detection of the interior of the steel box girder, avoids position omission during manual detection, improves the efficiency of the detection of the interior of the steel box girder, reduces the cost of the detection of the interior of the steel box girder, and improves the detection efficiency of the interior of the steel box girder. The internal detection quality of the steel box girder is ensured, and the practical value is good.

The invention discloses a millimeter-wave radar operation management and control system based on anti-interference processing, relates to the technical field of radar operation management and control, solves the technical problem that the operation trend of a millimeter-wave radar cannot be predicted in the prior art, and particularly relates to a method for analyzing the interference influence of the millimeter-wave radar in a detection area by an interference influence analysis unit. Interference information and influence information are collected, and low-efficiency detection signals or high-efficiency detection signals are generated according to information analysis; the operation fault detection unit performs operation fault detection on the millimeter wave radar, collects fault detection information, obtains an operation fault detection coefficient, and generates a detection maintenance signal or a detection qualified signal through coefficient threshold comparison; the operation trend analysis unit analyzes the operation trend of the millimeter wave radar, collects frequency adding information and constant frequency information, and generates an efficiency reduction signal or an efficiency normal signal according to information analysis; and the operation management and control platform performs operation management and control according to the corresponding type signal.

The present invention relates to the technical field of neutron scattering, and in particular to a hyperbolic single crystal graphite analyzer used in a secondary spectrometer of a neutron spectrometer, which improves the energy resolution and detection efficiency of the neutron spectrometer by optimizing the geometric shape of the analyzer; the analyzer comprises a substrate, and both the horizontal (x) and vertical (y) directions of the substrate are designed into a hyperbolic trapezoidal structure according to a fourth-order polynomial, which determines the overall geometric shape of the analyzer; the present invention effectively solves the problems existing in the prior art through an innovative design of a hyperbolic single crystal graphite analyzer, significantly improves the performance of the neutron spectrometer, and has important value for neutron scattering research and applications in related fields.

The utility model discloses an SIM card tray detection device which comprises a workbench, two supporting plates are fixedly connected to the top of the workbench, two rotating rollers are rotationally connected between the two supporting plates, a conveying belt is arranged on the outer sides of the two rotating rollers, and a plurality of fixing seats are fixedly connected to the outer side of the conveying belt at equal intervals. The beneficial effects of the utility model are that: it is novel in structure, simple to operate, easy to master, not only compact in structure, but also stronger in practicality, and more convenient to use. Compared with a traditional device, by arranging the fixing base, the rotating shaft, the electromagnet, the magnet, the connecting rod, the clamping base, a first spring, a touch switch, a gear ring, a touch rod and a rack, the electromagnet can be controlled to be powered on by triggering the touch switch after the fixing base moves to the clamping position, then the touch switch generates repulsive force on the magnet, and the clamping effect is achieved. In this way, the first spring is compressed and the clamping seat is driven to clamp the SIM card support.

The invention relates to the technical field of Korla bergamot pear detection, and discloses a Korla bergamot pear organic acid content nondestructive detection method, which comprises: collecting a bergamot pear sample with consistent maturity, no damage and complete surface layer; the surface is wiped with absolute ethyl alcohol and then naturally air-dried, only the surface layer is subjected to vacuum freeze drying and smashing, and the integrity of a main body is reserved; according to the method, ICP-MS, HT-IRMS and GC-MS / EMIS are combined with an HS-HPME extraction technology, multi-dimensional detection of mineral elements, isotope contents and ratios and volatile components is carried out, and an isotope and element characteristic database and a regional characteristic volatile substance fingerprint spectrum are constructed; analyzing and screening characteristic indexes through orthogonal partial least squares, and eliminating interference factors; and establishing a linear discrimination model, forming an organic acid content detection and origin identification integrated technical system, and optimizing detection parameters. According to the method, rapid and nondestructive testing and source area traceability are realized, and reliable technical support is provided for quality evaluation of the Korla bergamot pears.

The invention discloses a cylindrical plane test block supporting structure for ultrasonic water immersion detection, and belongs to the technical field of ultrasonic water immersion detection. The problems that in the prior art, the detection efficiency is low, and a probe is prone to being damaged are solved. The supporting structure body comprises a shell with an opening in the upper end, an inner support is arranged in the shell, the inner support and the cylindrical plane test blocks are sequentially placed in the shell, the bottom face of the inner support is attached to the bottom face of the shell, the top face of the inner support is attached to the bottom faces of the cylindrical plane test blocks, the top faces of all the cylindrical plane test blocks are coplanar, and the shell is provided with a window. The cylindrical plane test block supporting structure for ultrasonic water immersion detection is used for ultrasonic water immersion detection, the top surface of each detection test block is located on the same plane, it is guaranteed that the water distance between a probe and the top surface of each test block is consistent, detection of test blocks of different lengths can be achieved only by translating the probe in the test block detection process, and the detection efficiency is improved. The time for moving and adjusting the water distance each time is shortened, and the detection efficiency is greatly improved; the probe is prevented from moving and colliding with the test block.

The invention provides a deep space star catalogue multi-detector air-ground collaborative deployment method based on reinforcement learning, and belongs to the technical field of planet surface detection. According to the method, a leap device and a patroller serve as detectors to cooperatively detect an unknown area of a deep space star catalogue, three types of communication channels are established between the detectors, and the communication radius between the different detectors is calculated; the method comprises the following steps: establishing constraints in the aspects of communication range, sensing range, coverage mode and energy, and setting an optimization target to keep communication connection between detectors under limited energy and maximize the total coverage area of the detectors; a leap device and a patroller are used as two agents, and an optimal deployment strategy is determined based on a multi-agent near-end strategy optimization algorithm. According to the invention, the method optimizes the regional coverage strategy, achieves the efficient distribution of resources, improves the detection efficiency and accuracy of a leap device and a detector in extreme terrains and complex environments, reduces the energy consumption while guaranteeing the coverage efficiency, and improves the overall energy utilization efficiency of the system.

The utility model relates to the technical field of water sample detection, and discloses a sampling detection device for water supply and drainage, which comprises a mounting plate, the upper side wall of the mounting plate is fixedly connected with a detection box, a support frame and a fixing frame, the fixing frame is internally and rotatably connected with a rotating drum, a winding and unwinding rope is wound outside the rotating drum, and the winding and unwinding rope is fixedly connected with the detection box. The lower end of the winding and unwinding rope is fixedly connected with a sampling box, the side wall of the sampling box is fixedly connected with a micro pump machine, the water inlet end of the micro pump machine is communicated with the side wall of the sampling box, and the lower side wall of the sampling box is fixedly communicated with a water inlet pipe. According to the utility model, when the sampling box is used for sampling water at a certain depth and the water inlet of the sampling box is blocked, impurities blocked at the water inlet can be automatically cleaned, so that the detection efficiency of the detection equipment is ensured, the brush plate can be conveniently and quickly replaced after the brush plate is worn after being used for a long time, and the detection efficiency of the detection equipment is improved. And the cleaning efficiency of the brush plate is ensured.

The invention relates to an air coupling dual-polarization combined radar antenna and a transceiving method thereof, belongs to the technical field of ground penetrating radar antennas, and solves the problems of low gain and poor air coupling detection effect of a radar antenna in the prior art. According to the invention, four same antenna units are orthogonally combined to form the dual-polarized combined antenna with two transmitting and two receiving; the four antenna units comprise a first transmitting antenna, a first receiving antenna, a second transmitting antenna and a second receiving antenna; the first transmitting antenna and the first receiving antenna are bilaterally symmetrical; and the second transmitting antenna and the second receiving antenna are vertically symmetrical. The radar antenna provided by the invention adopts an air coupling system, is stronger in directivity and higher in efficiency, can couple more energy into a to-be-detected target body, is suitable for air coupling ground penetrating radar application, and is better in detection effect.

The present application relates to the technical field of crystal nondestructive testing, and particularly relates to a crystal defect nondestructive testing method and system based on pumped probe transient absorption spectrum, which comprises the following steps: detecting a target region of a crystal to be tested by using pump light and probe light; collecting a transient absorption image of the target region according to a preset time delay between the pump light and the probe light, and extracting a target risk region; focusing the pump light and the probe light, and performing point-by-point scanning on the target risk region by using the focused pump light and probe light; collecting three-dimensional transient absorption intensity distribution and defect dynamic evolution data of each scanning point in the target risk region under different time delays; performing correlation calibration based on the transient absorption image and the three-dimensional transient absorption intensity distribution to obtain defect parameters; and constructing a damage prediction model based on sample damage threshold data, and outputting damage threshold prediction results according to the defect parameters. The purpose is to realize nondestructive and rapid detection of internal defects of deuterated potassium dihydrogen phosphate crystals.

The present invention relates to an image acquisition device for a smoking path simulation system, and belongs to the technical field of cigarette detection equipment. The device includes a manipulator, a frame body fixedly connected to the working end of the manipulator and having N support rods, N cameras respectively fixedly connected to different support rods and with lenses facing the working end of the manipulator, and N fill lights respectively fixedly connected to different support rods and with light sources facing the working end of the manipulator; wherein N≥2. The device of the present invention utilizes fill lights and a camera to dynamically acquire images in real time under the action of the smoking path of the manipulator, thereby effectively improving the accuracy of the detection of the burning ash characteristics of cigarettes. The present invention is suitable for image acquisition in smoking path simulation systems of various types of cigarettes.

A thermostat switch quantity detection device includes a plurality of detection circuit modules with independent power supply and ground system, wherein the detection circuit module includes a detection circuit unit and a comparison circuit unit; the input end of the detection circuit unit is connected to the thermostat switch as the input end of the detection circuit module; the output end of the detection circuit unit is connected to the input end of the comparison circuit unit; the output end of the comparison circuit unit is used as the output end of the detection circuit module. The detection circuit unit uses a plurality of diodes to form a detection circuit, thereby ensuring the safety of the device under test and the test equipment; it can be powered and simultaneously determine the on-off status of multiple groups of switch quantities, and will not cause equipment damage due to a short circuit caused by a pair of contacts being reversely connected, thereby improving detection efficiency, saving test time, maintaining the normal operation of the transformer system, and ensuring production and detection efficiency.

The utility model relates to the technical field of plastic part size detection, in particular to a high-precision plastic part size detection device which comprises a base, an intermittent rotating assembly and four supporting columns are arranged in the middle of the top of the base, a detection platform is arranged at the top of the intermittent rotating assembly, and a fixing assembly is arranged on the top face of the detection platform. A mounting platform is fixedly connected among the top ends of the four supporting columns, and the improved size detection device fixes a plastic part through mutual cooperation of the intermittent rotating assembly and the fixing assembly, so that deviation of the detection precision caused by deviation of the plastic part in the detection process is avoided, and the detection precision is improved. The intermittent rotating assembly drives the plastic parts fixed by the four sets of clamping plates to sequentially rotate to the position below the detection head for size detection, the step that the previous plastic part is taken down, and then the next to-be-measured plastic part is placed in a detection area and fixed for detection is omitted, and therefore the detection efficiency of the plastic parts is improved.

The utility model belongs to the field of marker detection, especially a kind of disease marker automation detection device, the existing device cannot be realized to the quick clamping and release of needle tube, realize the fixed effect of absolute stability, lead to the problem of low detection efficiency and the stability of detection result is poor, present and propose the following scheme, it includes case, the side of case is inlaid with touch screen and is arranged, the inside of case is fixed with mounting bracket by screw;Clamping mechanism is provided on the mounting bracket, and the clamping mechanism is used to clamp and fix the needle tube loaded with blood sample.The utility model in the quick clamping and release of needle tube loaded with blood sample are realized by the setting of clamping mechanism, improve operating efficiency, also realize the stable clamping and fixing of needle tube, ensure that there is no movement or drop during detection process, so as to guarantee the efficiency and stability of detection.

This invention provides a multimodal fake news detection method based on dual cognition and hybrid expert networks, involving the interdisciplinary fields of natural language processing and computer vision. The method includes: extracting and fusing single-modal features from the text and image data of the news to be detected to obtain comprehensive multimodal features; simultaneously inputting the comprehensive multimodal features into an experience system based on a global memory and an inference system based on a hybrid expert network; the experience system outputs memory features by retrieving data from the global memory, and the inference system selects and activates a portion of the expert network through a dynamic routing mechanism and aggregates and outputs inference features; calculating dynamic arbitration weights based on the comprehensive multimodal features, memory features, and inference features, and using these dynamic arbitration weights to weightedly fuse the memory features and inference features to obtain fused features; inputting the fused features into a classifier to output the authenticity determination result of the news to be detected.

The utility model relates to the technical field of clamps, in particular to a fixing clamp for testing and detecting a high-frequency transformer, which comprises a base, a supporting seat is fixedly mounted on the top side of the base, an electric push rod is fixedly mounted in the middle of the bottom side of the supporting seat, and the output end of the electric push rod is fixedly connected with a movable disc seat. The high-frequency transformer clamping and fixing device has the advantages that through matched arrangement of the electric push rod, the movable disc base, the hinge base, the connecting rod, the movable base, the clamping and fixing structure, the guide sliding groove and the guide rod, the four side faces of a high-frequency transformer can be clamped and fixed at the same time, and the situation that the high-frequency transformer deviates is avoided; according to the fixing clamp for testing and detecting the high-frequency transformer, normal proceeding of the detection process and the detection efficiency are guaranteed, high-frequency transformers of multiple sizes can be pressed and fixed, the application range of the fixing clamp for testing and detecting the high-frequency transformer is expanded, and the practicability and the structural flexibility of the fixing clamp for testing and detecting the high-frequency transformer are improved.

The invention discloses detection equipment for electronic material production, and relates to the technical field of electronic material production. The detection equipment for electronic material production comprises a bottom plate, the top of the bottom plate is fixedly connected with a plurality of supporting plates, the side walls of the supporting plates are fixedly connected with a material groove, one end of the material groove is provided with an inclined section, a capacitor is conveyed in the material groove, and the capacitor comprises a positive electrode pin and a negative electrode pin. The other end of the trough is rotationally connected with a baffle through a rotating mechanism, and the side wall of the supporting plate is fixedly connected with a collecting box. According to the detection equipment for electronic material production, automatic continuous detection can be carried out on a capacitor, meanwhile, before detection, a positive electrode pin and a negative electrode pin of the capacitor are automatically distinguished and straightened, so that the detection efficiency and effect are guaranteed, after detection is completed, the positive electrode pin and the negative electrode pin can be straightened, and the detection efficiency is improved. And the production quality of capacitors is ensured.

The invention relates to the technical field of corrosion electrochemistry, and discloses a high-throughput detection method for corrosion resistance of metal. A distributed multi-channel electrochemical workstation comprises an independent multi-channel direct-current test electrochemical workstation and an independent multi-channel alternating-current test electrochemical workstation, the high-throughput detection method for the corrosion resistance of the metal comprises the step of detecting the corrosion resistance of the metal by using the distributed multi-channel electrochemical workstation. The distributed multi-channel electrochemical workstation provided by the invention can effectively avoid the galvanic corrosion phenomenon caused by a wire beam electrode electrochemical corrosion experiment and the problems of high cost and large occupied space of a traditional independent parallel high-flux electrochemical corrosion experiment; the high-throughput detection method for the corrosion resistance of the metal, provided by the invention, not only can ensure the detection efficiency, but also greatly reduces the test cost, and can be suitable for high-throughput electrochemical corrosion experiment tests of different metal materials.

This application relates to the field of power equipment testing technology, and in particular to a method and apparatus for detecting the amount of dissolved gas degassing in oil. The method includes: acquiring oil sample information and operating condition information of the corresponding expandable gas collector; determining the pressure change data of the expandable gas collector based on the oil sample information and operating condition information; and calculating the total amount of dissolved gas degassing in the oil sample based on the pressure change data and a preset mapping relationship. This solves the problems of gas chromatography, which is cumbersome to operate, requires highly skilled personnel, has high instrument and consumable costs, and is time-consuming, making real-time monitoring impossible; and vacuum degassing, which requires strict vacuum levels, has high equipment purchase and maintenance costs, poor degassing effect stability, difficulty in guaranteeing detection accuracy, and is prone to oil sample contamination and complex operation.

The present invention discloses a PVD coating differential shaft appearance inspection device, which relates to the field of PVD coating inspection technology, and includes: a base, a conveying mechanism is provided at both sides of the top of the base, a clamping assembly is provided at the ends of the two conveying mechanisms, and a positioning assembly, an appearance inspection assembly, two symmetrically arranged scratch assemblies and a feeding mechanism are sequentially provided at the top of the base between the two clamping assemblies. The present invention can cause sliding between the mounting plate and the conveying mechanism through the operation of the adjustment assembly in the feeding mechanism, thereby changing the horizontal position of the differential shaft. When the differential shaft is released on one of the inclined surfaces of the guide frame, the differential shaft is output through this place. Similarly, when the differential shaft is released on the other inclined surface of the guide frame, the differential shaft is output through this place, so as to output defective products caused by different reasons, facilitate subsequent manual review, and then facilitate the location of the process that causes the PVD coating to be unqualified, and provide data for improving the PVD process.