50results about How to "Comprehensive detection effect" patented technology

The invention is suitable for the technical field of anomaly detection, and particularly relates to a cloud edge multi-mode abnormal event detection system based on a dynamic decision-making mechanism, and the system comprises a data collection module which is used for collecting videos and audios, and obtaining multi-mode data; the data preprocessing module is used for preprocessing to obtain preprocessed data; the key feature extraction module is used for carrying out key frame feature extraction and key frequency band feature extraction; the multi-mode anomaly detection module is used for carrying out anomaly judgment; and the cloud large-model intelligent processing module is used for analyzing the detected abnormal fragments and outputting a generative text result. According to the cloud edge multi-mode abnormal event detection system based on the dynamic decision-making mechanism provided by the invention, more comprehensive event understanding and anomaly detection are provided through combination of video and audio data. And deep features are extracted at the edge end by using the convolutional neural network, so that the detection accuracy is improved, and the false alarm rate is effectively reduced.

The invention discloses a stamping production process self-adaptive control method, a stamping production line and a program product, and relates to the technical field of stamping machining. The method comprises the steps that stamping production data collected by a data collection unit are received, and the stamping production data comprise one or more of drawing inflow, die surface temperature, lubricating oil amount, closing height, blank holder force, forming force and material performance parameters; determining a quality performance prediction condition of the product based on the stamping production data; determining to-be-optimized data from the stamping production data according to the quality performance prediction condition; stamping process optimization parameters are determined according to the to-be-optimized data; and the stamping process optimization parameters are sent to a stamping controller of the stamping equipment, so that the stamping controller adjusts the stamping action of the stamping equipment according to the stamping process optimization parameters. Intelligent and automatic management of the stamping production line can be achieved, the production efficiency is improved, and the defective rate is reduced.

The invention belongs to the technical field of disease source prevention and control, and particularly relates to an animal skin harmful factor detection method and system for animal disease source prevention and control, and the system comprises a multi-mode sensor detection module which can respectively detect microorganisms, chemical residues and other harmful factors on animal skins; the intelligent analysis and machine learning module is used for fusing the multi-modal data acquired by the sensor, and classifying, identifying and analyzing various data through a machine learning algorithm; a detection model is continuously optimized through machine learning, and the recognition precision of pathogens and harmful factors is gradually improved; and the Internet of Things real-time monitoring and automatic alarm module uploads detection data of each sensor to a cloud platform in real time through the Internet of Things technology, so that managers and technicians can monitor the state of the leather at any time. According to the invention, real-time and automatic detection of animal skin harmful factors is realized, improvement of the overall effect of animal disease source prevention and control is facilitated, and the method has a wide application prospect.

The invention discloses a diamond wire jumper and wire bow detection system for a polycrystalline silicon multi-wire cutting machine, and relates to the field of solar cell panel production quality detection.The diamond wire jumper and wire bow detection system comprises an image acquisition module used for acquiring a diamond wire mesh image; the image processing module is used for identifying each diamond wire mesh image and determining whether the diamond wire jumps or not and the wire bow value; the image processing module is arranged in the industrial personal computer, and the industrial personal computer displays the wire jumping information of the diamond wire mesh surface and the wire bow value of the diamond wire mesh surface in real time; the centralized monitoring platform is used for receiving the processing information of the industrial personal computer, determining whether diamond wire jumping and wire bow value abnormity exist or not and outputting a result; by designing the automatic cutting machine diamond wire jumper and wire bow detection system, a traditional field worker manual detection mode is replaced, and the labor efficiency of a polycrystalline silicon cutting workshop is improved.

The invention discloses a non-destructive testing system and method for a boiler pressure pipeline based on image processing, relates to the field of non-destructive testing, and solves the problem that an existing detection method for the boiler pressure pipeline is poor in effect. The sensor module is used for carrying out sensor detection on the boiler according to the boiler image processing data and respectively obtaining a pipeline pressure detection coefficient, a pipeline temperature detection coefficient and a pipeline vibration frequency detection coefficient to obtain boiler sensor data; and the nondestructive testing module is used for carrying out nondestructive testing on the boiler pipeline to be detected according to the boiler sensor data and the boiler image processing data, and issuing an abnormal early warning according to a detection result. The accuracy and comprehensiveness of nondestructive testing of the boiler pressure pipeline can be ensured.

The invention discloses a variable speed-limiting control method for a confluence area in a highway road-alarm linkage mode, and relates to the technical field of variable speed-limiting control for the confluence area, and the method specifically comprises the following steps: firstly, constructing a lane-level variable speed-limiting control model based on reinforcement learning; secondly, safety constraint and intelligent control are conducted, and it is guaranteed that the output end speed limit value meets the condition that the vehicle speed change of adjacent lanes in the same time period is not higher than the preset speed per hour and the vehicle speed change of the same lane in the adjacent time periods is not higher than the preset speed per hour; in the aspect of variable speed limit control of the confluence area, the traffic efficiency and safety of the highway confluence area are remarkably improved. Through a reinforcement learning-based DVSL control model, an optimized action space design and a perfect safety constraint and inter-lane safety detection mechanism, a new technical path and a solution are provided for the development of an intelligent traffic system.

The invention provides an X-ray detection device for a strain clamp, and relates to the technical field of strain clamp detection equipment. An X-ray detection device for a strain clamp comprises a processing box body, a transmission belt, a conveying belt, a servo motor, a detector, a conveying chain and a rotating shaft, and the driving end of the servo motor penetrates through the outer side wall of the processing box body, extends into the processing box body and is fixedly connected with a center rod; the end, away from the driving end of the servo motor, of the center rod is rotationally connected with the inner side wall of the treatment box. When the adjusting roller body rotates, the adjusting roller body can drive the adjusting mounting rod to periodically swing around the winding shaft to cooperate with the intermittent movement of the wire clamp, so that the change of the angle and position between the detector and the wire clamp is realized, the comprehensive detection effect is achieved, and the device can be used for detecting the strain wire clamp in batches, so that the detection efficiency is improved. And the pause freight mode is matched with the change of the position and the included angle of the detector, so that the detection precision can be ensured.

The invention discloses a method and a kit for determining various free fatty acids in body fluid by liquid chromatography-tandem mass spectrometry. The method comprises the following steps: pre-treating a biological fluid sample by introducing an isotope internal standard, protein precipitation, liquid-liquid extraction and an automatic pipetting platform, then separating an isomeride and an interferent through liquid chromatography, carrying out mass spectrometry scanning monitored by tandem mass spectrometry multi-reaction, making a standard curve by using a calibrator, and quantifying, and low, medium and high quality control products continuously monitor the performance of the method. The method realizes the purpose of simultaneously analyzing and detecting 22 free fatty acids and 20 D / 13C labeled isotope hormones in a sample by using the UPLC-MS / MS technology without using solid-phase extraction and non-derivatization treatment, has the advantages of rapidness, simplicity and convenience in operation, multiple detection types, high flux, high accuracy and low cost, can be applied to content detection of low-content free fatty acid level, and has a wide application prospect. The research on a lipid metabolism pathway is facilitated.

The present invention relates to an offshore storage device for accommodating an inflatable liferaft, the inflatable liferaft comprising an internal volume containing a non-toxic gas, the internal volume having a controllable environment; an inflatable lifesaving device includes an interior volume, an uninflated inflatable lifesaving raft disposed in the interior volume, a gas cylinder disposed at least partially in the interior volume, the gas cylinder containing an inflation gas or a mixture of inflation gases for inflating the inflatable lifesaving raft, where a major portion of the inflation gas or the mixture of inflation gases is nitrogen or air, wherein the pressure indicator is operably connected with the gas cylinder to determine the pressure of the inflation gas in the gas cylinder.

This utility model discloses a high-performance concrete impermeability testing device, including a testing box and a test block. The test block is slidably connected inside the testing box, and a testing component is movably connected above the test block inside the testing box. The advantages are: by installing a pressure plate inside the testing cylinder and the pressure cylinder, and configuring an electric push rod for driving the pressure plate to adjust its displacement, this utility model achieves flexible and precise adjustment of the water pressure inside the testing cylinder and the pressure cylinder. Therefore, the testing device can perform more accurate testing on the concrete test block. Furthermore, it can control the pressure plate to increase the water pressure at an appropriate time and decrease it after an appropriate time, thus achieving a more comprehensive testing effect on the concrete test block. Alternatively, it can control the pressure plate to continuously increase the water pressure at a certain speed and gradually decrease it after reaching a set value, thereby achieving a linear testing effect.

The invention discloses a method and system for detecting the internal quality of a polyethylene pipeline hot-melt welding joint, and belongs to the technical field of pipeline quality detection.The method comprises the following steps that before a tensile test is carried out, ultrasonic quality detection is carried out on a casual inspection joint of a polyethylene pipeline set to be detected; dynamically determining an initial tensile rate based on the material grade and the material attribute parameter of the to-be-tested polyethylene pipeline group, and executing a first tensile test at the initial tensile rate; iteratively and dynamically adjusting the tensile rate of the tensile test of the next casual inspection joint based on the tensile test result of the previous casual inspection joint until the tensile test of each casual inspection joint is completed; dynamically executing fracture quality detection based on the fracture position and the fracture characteristic parameter of each spot check joint to obtain a fracture quality detection result of each first joint; and executing internal quality comprehensive detection based on the ultrasonic quality detection result, the fracture quality detection result and the tensile test result of each first joint.

The invention provides a quality detection device for automobile shock absorber processing, and relates to the technical field of automobile shock absorber quality detection devices.The quality detection device comprises a front wheel assembly to be detected and a ground rail and further comprises a triangular support arranged on the ground rail in a sliding mode, and the triangular support comprises a fixed bottom frame, a movable side frame and a supporting ring rail; according to the technical scheme, translation of the triangular support is matched with the steering action of a front wheel assembly to be detected, different detection runways can be replaced for detection of different types of obstacles, and detection of different types of obstacles at different relative speeds can be simulated. The stress condition of the shock absorber before and after the collision between the wheel assembly and the obstacle and the stress data of the shock absorber are detected in a more real simulation environment, so that the obtained detection data are more matched with the actual effect of the shock absorber crossing the obstacle at different speeds per hour, errors are reduced, and the obtained detection data are more reliable.

The utility model relates to the field of coated glass detection devices, and discloses a coated glass processing resistance inspection device which comprises a basic assembly, an adjusting assembly and a cleaning assembly, the bottom end of the basic assembly is fixedly connected with the adjusting assembly, the front end of the adjusting assembly is provided with the cleaning assembly, and the basic assembly comprises a partition plate. The front side of the partition plate at the left end is fixedly connected with a servo motor, the front sides of the opposite ends of the partition plates are fixedly connected with second chain wheels, the driving end of the servo motor penetrates through the left side and the right side of the partition plates and is fixedly connected to the opposite ends of the second chain wheels, and the opposite ends of the second chain wheels are fixedly connected with working rollers. By starting a double-head motor, a second bevel gear is driven to drive a first bevel gear, and then the first bevel gear drives a threaded column, so that a moving rod drives an ultraviolet searchlight to move back and forth in the horizontal direction.

The invention relates to the technical field of weld joint detection, in particular to a pipeline weld joint flaw detection device and a detection method thereof.The detection device comprises a fixed seat, a movable seat, a supporting assembly, a moving assembly and a detection assembly; a fixed seat is fixedly arranged at one end of the base, a movable seat is movably arranged at the other end of the base, the moving assembly is movably arranged between the fixed seat and the movable seat, a positioning unit is movably arranged on the moving assembly and comprises a positioning plate, and a pipeline is placed on the positioning plate; the ends, close to each other, of the fixed base and the movable base are rotationally provided with supporting assemblies, and the two supporting assemblies are concentrically arranged. A detection assembly is installed in the middle of the moving assembly and comprises a rotating plate, adjusting units are movably arranged at the two ends of the rotating plate respectively, ultrasonic probes are arranged on the adjusting units, and the adjusting units move in a reciprocating mode through a reciprocating lead screw mechanism; the detection method is applied to the detection device, two sides of an annular welding seam or a longitudinal welding seam can be detected at the same time, and the detection effect is more comprehensive and accurate.

The utility model discloses a motor rotor multi-position exposure clamping device adapted to industrial camera defect detection, which comprises a supporting frame body, sliding chutes are arranged on the inner walls of the two sides of the supporting frame body, the two ends of a moving frame are respectively in sliding fit with the two sliding chutes, and a first clamping mechanism is arranged at the top of the moving frame. A second clamping mechanism is installed in the supporting frame and comprises two electric telescopic rods, and second clamping plates are installed at the telescopic ends of the two electric telescopic rods. When the camera detects the motor rotor, the motor rotor can be driven to rotate slowly through the arranged first clamping mechanism, so that the camera can detect the appearance of the motor rotor more comprehensively; and through the arranged second clamping mechanism, the motor rotor can be driven to rotate by taking the electric telescopic rod as the circle center, so that the camera can conveniently detect the rotating shafts at the two ends, and the effect of overall detection of the motor rotor is achieved.

A phishing mail information extraction method based on a large language model is characterized by comprising the following steps: step 1, scanning a received mail; 2, extracting a password from the text of the mail by adopting a GPT model; judging whether the attachment of the mail is a compressed package or not, and if yes, entering the step 3; step 3, decompressing the compressed package by using the password extracted in the step 2; 4, performing Trojan virus detection on the decompressed original file; the functions of the method belong to a part of a'mail filter ', features which cannot be extracted by some traditional technologies are extracted through an AI large model (LLM, Large Language Model) technology so as to improve the accuracy of the whole filtering function, the ability of the AI large model technology such as GPT for semantic understanding is introduced, traditional keyword matching and regular matching are replaced, and the accuracy of the whole filtering function is improved. Therefore, a more perfect detection effect is achieved.

The invention discloses a portable nuclear radiation reconnaissance simulation training system and a nuclear radiation reconnaissance training method, and relates to the technical field of nuclear emergency reconnaissance training. The system comprises an integrated portable control box, wherein the integrated portable control box comprises a control terminal, a communication base station and a power supply module for supplying power to the control terminal and the communication base station; the virtual hazardous environment construction unit is deployed in the control terminal; the portable communication terminal and the intelligent simulation sensing terminal are placed in the integrated portable control box; according to the nuclear radiation reconnaissance training method, hazard scene data estimation is carried out through the virtual hazard environment construction unit, the intelligent simulation sensing terminal receives and reports detection data in real time, communication and positioning technologies are combined, reconnaissance simulation training of a radiation field is finally completed, and three stages of training preparation, implementation and evaluation are covered. According to the embodiment of the invention, a vivid nuclear radiation environment is simulated, a user can be helped to carry out reconnaissance skill training, and the emergency response capability for coping with a nuclear radiation event is improved.

The invention relates to the technical field of intelligent energy routing device control, in particular to an intelligent energy routing device control system, which comprises a network communication module, an information processing module, an infrared sensing module and an energy routing module, and realizes intelligent monitoring and efficient energy management of household appliances. The intelligent monitoring module monitors the network connection state and switching time of the household appliance in real time, and intelligently controls the household appliance according to a control command signal of a user. Meanwhile, efficient distribution and adjustment of energy are achieved through the energy routing module, and the equipment capacity and the manufacturing cost are reduced.

The invention discloses a mycoplasma pneumoniae gene detection kit based on a silicon-based micro-fluidic chip and a detection method thereof, and the kit provided by the invention comprises a rapid hot start DNA polymerase, a PCR reaction mixed solution, a positive reference substance and a negative reference substance, and also comprises a PCR reaction system which takes a mycoplasma pneumoniae repMp1 gene as a target gene, the following primers are designed by a PCR (Polymerase Chain Reaction) fluorescent probe method: an upstream primer F, a downstream primer R and a detection probe P, and the nucleotide sequences of the upstream primer F, the downstream primer R and the detection probe P are shown as SEQ ID NO.1-3. The mycoplasma pneumoniae gene detection method provided by the invention comprises the steps of extraction of pathogen DNA (Deoxyribonucleic Acid) and PCR (Polymerase Chain Reaction) amplification detection. According to the invention, the mycoplasma pneumoniae gene detection kit which is more comprehensive in detection effect, high in specificity, good in sensitivity, low in omission ratio, convenient, simple and easy to operate is provided.

The invention discloses a surface treatment and flaw detection device for a roller body of a supporting roller. The surface treatment and flaw detection device comprises a horizontal supporting truss, a double-layer fixedly-connected supporting workbench, a supporting transmission roller, a crank rocker grinding mechanism and a flaw detection sliding table tool rest, a supporting transmission roller for supporting a processed roller is arranged on the inner side of the horizontal supporting truss; the two double-layer fixedly-connected supporting workbenches are symmetrically arranged relative to the axial direction of the machining roller. The middle of the upper layer of the double-layer fixedly-connected supporting workbench is open, rollers are embedded in the two ends of the upper layer, and a crank rocker grinding mechanism capable of moving left and right under cooperation of the rollers is arranged at the opening. A flaw detection sliding table tool rest connected through a lead screw is arranged on one side of the lower-layer workbench of the double-layer fixedly-connected supporting workbench, and a movable oil brushing device is arranged on the other side of the lower-layer workbench of the double-layer fixedly-connected supporting workbench. According to the device, surface treatment before flaw detection and a flaw detection device are integrated, comprehensive grinding and flaw detection are achieved, all-directional dead-corner-free surface pretreatment and subsequent detection work of the roller are guaranteed, and the machining space can be effectively saved.

The invention discloses a ship bus duct electrical performance detection method and system, and relates to the technical field of ship electrical appliances, and the method comprises the steps: a first detection assembly detects an initial electrical performance index of a target bus duct according to a preset static strategy, and activates a second detection assembly when the index reaches a limit value; and the edge data processor performs dynamic operation to detect real-time operation state information, analyzes the information to obtain a real-time state feature set, inputs the real-time state feature set into the electrical performance evaluation model to obtain a real-time electrical performance index, and stops detection of the target bus duct if the real-time index does not reach a limit value. The technical problems that in the prior art, ship bus duct electrical performance detection is not comprehensive and inaccurate, and real-time performance and intelligence are insufficient are solved, and the technical effects that comprehensive, real-time, accurate and intelligent detection and evaluation of the ship bus duct electrical performance are achieved, and the safety and reliability of a ship electrical system are improved are achieved.

The present application relates to a battery pack damage assessment method, device, vehicle, equipment and storage medium. The method comprises: obtaining the measured temperature of the battery pack in the vehicle, the measured temperature of the coolant in the cooling system corresponding to the battery pack, the measured flow rate and the measured flow resistance; determining the standard flow resistance according to the measured temperature of the battery pack, the measured temperature of the coolant and the measured flow rate; determining the damage assessment result of the battery pack according to the difference between the measured flow resistance and the standard flow resistance; wherein, determining the standard flow resistance according to the measured temperature of the battery pack, the measured temperature of the coolant and the measured flow rate comprises: searching in the flow resistance map according to the measured temperature of the battery pack, the measured temperature of the coolant and the measured flow rate to obtain the standard flow resistance. The use of this method can improve the accuracy and timeliness of battery pack damage assessment.

The invention relates to the technical field of railway signal control, provides a double-system hot standby switching method and system for a 2 * 2-vote-2 structure, and aims to solve the technical problem that data consistency and synchronism between a main system and a standby system are difficult to ensure when the main system and the standby system are switched and taken over in the prior art. Comprising the following steps: periodically acquiring state factors of two systems, and calculating a local system state and an opposite system state of each system based on the state factors; the two systems respectively send the respective calculated local system state and opposite system state to the opposite system; in each system, according to the local system state and the opposite system state calculated by the current system and the local system state and the opposite system state sent by the opposite system, judging whether the system cutting calculation is correct or not, and if the system cutting calculation is correct, generating a system cutting result; and each system executes a system switching operation according to the system switching result generated by the current system. According to the invention, main-standby switching can be rapidly carried out, the service interruption time is reduced, and the recovery speed of the system is improved.

The invention discloses a suspension bridge main cable protective coating aging monitoring system, which relates to the technical field of bridge anticorrosive coating monitoring and comprises a main cable and a cable clamp connected to the main cable. The sensor induction sheet is arranged on the cable clamp; the butt joint of the edge of the inner ring of the end face of the cable clamp and the straight seam is provided with an induction piece installation groove, the cable clamp is provided with a wiring groove connected with the induction piece installation groove, a sensor induction piece is arranged in the induction piece installation groove, a wire of the sensor induction piece is embedded in the wiring groove, and the outer surface of the cable clamp is coated with an anti-corrosion coating. The anti-corrosion coating covers the induction piece installation groove and the wiring groove, and the sensor induction piece detects the corrosion degree of the anti-corrosion coating in a mode of measuring alternating current impedance. According to the technical scheme, the aging condition of the protective coating of the bridge main cable is detected in a mode of measuring alternating current impedance, detection on the main cable can be reduced, the main cable is not prone to damage, and frequent replacement is not needed.

The invention relates to the technical field of industrial park inspection, and discloses an anomaly detection method and system for an industrial park unmanned inspection machine and a storage medium, and the method comprises the steps: generating continuous frame images through a camera module, recognizing a temporary vehicle, judging whether the temporary vehicle is a moving or static vehicle according to a pixel total displacement value, and recognizing the information of a road where the vehicle is located; the temporary distance between the dynamic vehicle and the nearest static vehicle is calculated when the dynamic vehicle is on the non-traffic road, and first early warning information is sent if the temporary distance does not reach the standard; and sound parameters are generated through the pickup module, and second early warning information is sent after the preset characteristic frequency is matched. And obtaining a thermal image, calculating a heat value of a pixel area to identify a thermal abnormal state, and if the position is matched with the temporary vehicle, sending third early warning information. And calculating early warning data by integrating the three kinds of early warning information, and sending an assistance prompt to the background when the threshold value is exceeded. Through multi-dimensional data detection, early warning data is comprehensively generated, abnormal conditions of vehicles can be timely and accurately found, assistance prompts can be sent to the background according to needs, and the safety of the park is guaranteed.

The present invention provides a multiplex RT-PCR primer set, a kit and an application for simultaneously detecting four CTV genotypes, belonging to the technical field of plant virus detection, wherein the four citrus tristeza virus genotypes are T30, T68, JY and HA; the multiplex RT-PCR primer set is composed of a primer for detecting T30, a primer for detecting T68, a primer for detecting JY and a primer for detecting HA. The multiple pairs of specific primers and the kit designed by the present invention have the characteristics of strong specificity and high sensitivity. The kit of the present invention makes the CTV genotype detection process simpler and more efficient, greatly saves the genotype detection cycle, and plays a positive role in improving the detection and prevention and control of CTV genotypes.

The invention relates to the technical field of computers, and provides a memory diagnosis method and device, electronic equipment and a storage medium. According to the method, a system diagnosis interface is preset, so that when an application program in a user mode operation environment calls the system diagnosis interface, a microkernel system can enter a kernel mode operation environment, then subsequent memory diagnosis can completely detect a to-be-detected memory, and the situation that the user mode environment is lack of permission is avoided; in the embodiment of the invention, the problems that a to-be-detected memory cannot be completely diagnosed by an application program in a user mode, and the diagnosis effect is poor are solved, in addition, multiple pieces of background data are generated according to the bit length of the to-be-detected memory, so that the generated multiple pieces of background data can cover different adjacent states of 0 and 1 in the to-be-detected memory; and subsequently detecting the to-be-detected memory through each piece of background data, thereby achieving the effect of comprehensively and accurately detecting the to-be-detected memory.