129results about How to "Effective judgment" patented technology

The invention discloses an abnormal defect detection method and system applied to PCB intelligent welding, and relates to the technical field of PCB welding detection, and the method comprises the following steps: carrying out the image collection of a whole PCB through a high-definition camera, and recognizing and positioning all welding spots on the PCB through an image segmentation technology; and each welding spot is detected according to the initially set expected resolution, and after the welding spots with obvious welding problems are recognized, the recognized welding spots are screened out. According to the method, the welding spots are accurately positioned through the image segmentation technology, the detection efficiency is rapidly screened and improved by using the initial resolution, and obvious non-pseudo-soldering welding spots and potential pseudo-soldering welding spots are efficiently classified in combination with a deep learning model. Aiming at potential cold solder joints, the resolution is dynamically adjusted, high-resolution fine detection is performed, the cold solder problem is accurately identified, the detection accuracy and precision are remarkably improved, the omission ratio and the misjudgment ratio are reduced, and reliable technical support is provided for PCB intelligent welding quality control.

The invention discloses a video image defect detection and identification processing method and system, and the method comprises the following operation steps: obtaining a to-be-detected workpiece image of industrial video network data, carrying out the graying of the to-be-detected workpiece image, and obtaining a to-be-detected workpiece gray image; calculating gray values of pixel points in the gray image of the to-be-detected workpiece; distinguishing suspected pixel points according to the gray values of the pixel points, and clustering the suspected pixel points to obtain suspected areas; calculating the defect probability according to the suspected area; and judging whether the to-be-detected workpiece image has defects or not according to the defect probability.

The invention belongs to the technical field of biomolecules, and particularly relates to an NIPBL gene for judging the sex of chickens and application of the NIPBL gene. The NIPBL gene has a segment with the difference of 606bp on chicken Z and W chromosomes, and is also a deletion segment on the W chromosome, the chicken sex can be quickly and effectively identified by detecting the sequence condition, the chicken with the deletion of the molecular marker sequence segment is a female individual, and the chicken without the deletion of the molecular marker sequence segment is a male individual; the invention further provides a specific primer, the chicken sex can be accurately judged through a PCR amplification technology and agarose gel electrophoresis, a strip is clear, the method is small in technical difficulty, easy and convenient to operate and high in accuracy, the sex of chicks or chickens difficult to distinguish in appearance can be effectively identified, the method has practical significance on identification of varieties small in male and female appearance difference, and the method is worthy of popularization and application. The method disclosed by the invention is strong in technical applicability and good in repeatability, can be used for accurately identifying the gender of the poultry, and has a wide application prospect.

The invention provides a refueling station filling function detection device and method. The device comprises an operation control module, a vehicle-mounted hydrogen storage simulation module, a hydrogen diffusion module, a hydrogen supply module, a nitrogen purging module, a hydrogen replacement module, a weighing metering module and a skid-mounted carrying module. The operation control module comprises a control unit and an operation panel, different control signals are generated according to the requirements of workers, and the vehicle-mounted hydrogen storage simulation module is used for simulating vehicle-mounted hydrogen storage systems of different vehicle types and is connected with a hydrogen filling port of the hydrogen supply module through a main filling pipeline; the nitrogen purging module and the hydrogen replacement module are connected with the main pipeline through a pressure regulating valve and a one-way valve; the hydrogen diffusing module is connected with the main pipeline through a stop valve, and hydrogen in the pipeline of the device is vented through a flame arrester. By adopting the device, the problems of complicated operation and easy damage to equipment in a station in the existing detection technology are solved, the pressure and temperature of related media are detected in real time by adopting an automatic detection technology, and the filling function and metering of the hydrogen filling machine are monitored.

The invention belongs to the technical field of biomolecules, and particularly relates to an SMAD7 gene for judging chicken sex and application. Through the molecular marker and the design of a new PCR primer, the migration distance difference of two bands amplified by a ZW chromosome is 299bp, and compared with the migration distance difference of 150bp of a traditional sex identification gene CHD1 amplification system, the migration distance difference of the bands of the two items is larger, and judgment is easier; the fragments amplified by the designed PCR primer are smaller and are only 517bp and 816p, the PCR amplification time is remarkably shortened, and the sex identification time is shortened; in addition, amplification and agarose gel electrophoresis can be directly carried out by extracting chicken tissues, the sex of the chicken can be rapidly judged according to an electrophoresis result, the DNA extraction time is shortened, the time length can be controlled within 1 hour, operation is easy, the identification result is accurate, basic-level application and popularization are facilitated, and the method has a wide market application prospect.

The invention provides a fault identification method for a parallel capacitor and a series reactor based on parameter characteristic analysis. The method comprises the following steps: carrying out simulation modeling on a real circuit, and initializing a reference characteristic value in a normal state; constructing a fault list and a fault impedance value set; constructing a fault comparison table based on the impedance deviation values under different faults; and the to-be-detected state of the power system is sampled, the actual impedance deviation vector is calculated, the fault type is determined through the comparison table, and early warning is given out. According to the method, accurate fault identification and real-time monitoring can be realized, the reliability of the power system is improved, the economic loss and the safety risk are reduced, and the practical value is relatively high.

A high-compatibility power supply controller comprises a signal identification assembly, a switch driver and a switch assembly. The signal recognition assembly comprises a high-frequency signal recognizer, and the high-frequency signal recognizer receives a first input signal. And the switch driver is connected with the high-frequency signal recognizer. The switch assembly is connected with the switch driver. Wherein the high-frequency signal recognizer executes a counting program comprising a preset number of counting cycles within a preset time interval to detect the number of sine waves of the first input signal, and generates a conduction signal when the number of sine waves of any counting cycle is greater than or equal to a preset threshold value. The switch driver turns on the switch assembly according to the turn-on signal.

The invention discloses a photomask defect identification method, and belongs to the technical field of photomask detection. The method comprises the following steps: S1, acquiring a surface defect image; s2, preprocessing the surface defect image based on the imaging characteristics of the defect; s3, performing filtering algorithm correction on the preprocessed surface defect image; s4, performing colorimetric analysis on the surface defect image corrected by the filtering algorithm to obtain a particle region; s5, on the basis of morphological characteristics of defects, segmenting the particle region to obtain defect islands; and S6, performing morphological analysis on the defective island to obtain a defect type and a defect size. The photomask defect identification method provided by the invention combines morphological and colorimetric analysis methods to automatically process the surface defect image and extract the defect island, improves the accuracy of defect identification, gets rid of the constraint of the difference of different equipment imaging systems, realizes automatic batch processing, and saves the manpower and material investment in the mass production link.

The invention discloses an automobile drunk driving automatic monitoring method and related equipment, relates to the field of drunk driving monitoring, and mainly aims to solve the problem that current automobile drunk driving automatic monitoring is not intelligent and accurate enough. The method comprises the following steps: acquiring driver seat personnel information and alcohol content information; determining light reflection data of pupils of the driver under the condition that alcohol is fed back to exceed the standard according to the driver seat personnel information and the alcohol content information; and determining the drunk driving state of the driver based on the light reflection data of the pupil of the driver. The method is used for the automobile drunk driving automatic monitoring process.

The invention relates to the field of medical equipment and health monitoring, and discloses a sleep monitoring system for lead shedding real-time monitoring and early warning, comprising: an intelligent material lead electrode for fitting the skin and providing high conductivity; the micro air pressure adjusting module is used for adjusting the attaching force through air pressure to guarantee tight contact between the electrode and the skin; the multi-sensor fusion module is used for monitoring the contact state between the electrode and the skin in real time; the microcontroller is used for processing a sensor signal and detecting a lead state; and the signal processing and fusing module is used for processing and fusing various sensor signals in real time and detecting a lead state. Accurate monitoring and dynamic adjustment are achieved through multi-sensor fusion and a deep learning algorithm, the detection precision and the system adaptability are improved, real-time data transmission and user reminding are ensured through the wireless transmission and vibration feedback module, the monitoring efficiency is improved, the equipment endurance is prolonged through the efficient energy management module, and the maintenance cost is reduced.

The invention relates to the technical field of open pit mines, and provides an open pit coal mine muck pile lumpiness judgment method and system based on image segmentation. The judgment method comprises the following steps: performing muck pile image acquisition on a muck pile area in the open pit coal mine, converting an acquired first image into a gray image, and performing dust removal treatment to obtain a third image; based on a maximum between-class difference method, segmenting the third image to obtain a fourth image, and determining the muck pile rock particle size of the open pit coal mine according to a connected region of the fourth image; and according to the obtained muck pile rock particle size of the open pit coal mine, based on a preset muck pile rock lumpiness interval, the muck pile rock lumpiness distribution percentage of the open pit coal mine is obtained. Therefore, the judgment of the blasting muck pile lumpiness of the open pit coal mine is more convenient and efficient, the production of the mining, loading and transporting links after blasting is not influenced in the judgment process, the statistics of the boulder rate of the blasting muck pile rocks of the open pit coal mine is realized, and a reference is provided for the design optimization of blasting parameters of the open pit coal mine.

The invention discloses an information release early warning system and method based on an LED screen, and relates to the technical field of information release, the system comprises a data division module, a model construction module, an early warning cache module and a release distribution module; according to the technical key points, collected multi-source information is divided into a normal data set and an abnormal data set according to short-term, middle-term and long-term labels, different time levels are set accordingly, early warning time of a plurality of priorities under the different time levels is judged, early warning events are quickly and intelligently predicted in combination with early warning signals and an attention mechanism, and the early warning efficiency is improved. The problem of information delay is solved; the distribution level is calculated through the feature information, the distribution box is designed, the distribution adaptation degree is calculated based on the distribution box information, the distribution data packet is generated through processing and uploaded to the LED screen, and the accuracy and fineness of weather forecast are improved.

The invention relates to the technical field of customer and merchant credit evaluation, in particular to a dynamic performance behavior-based customer and merchant credit evaluation method and system and a medium. The method comprises the steps of obtaining historical transaction data of a customer and a merchant; identifying dynamic performance behavior information from historical transaction data of the customer and the merchant by adopting a data mining algorithm; based on the identified dynamic performance behavior information, constructing a dynamic index system of customer and merchant credit evaluation; weighting each index in the dynamic index system to obtain the weight of each index; obtaining latest dynamic performance behavior information of the customer and the merchant; the method comprises the following steps of: extracting required indexes from latest dynamic performance behavior information of a customer service provider based on a dynamic index system of customer service provider credit evaluation, and performing standardization processing on the indexes to obtain standardized values of the indexes; and carrying out weighted calculation on the standardized value of each index and the weight of the corresponding index to obtain the credit score of the customer service provider, so that the accuracy and the real-time performance of the customer service provider credit evaluation can be improved.

The invention belongs to the technical field of encoders, and particularly discloses a method and equipment for judging the driving direction of a servo motor with an absolute encoder. The method comprises the following steps of: sequentially arranging and storing coded values of an absolute position encoder into a one-dimensional coding array according to an actual sequence of the coded values; obtaining a current coding value and a target coding value, judging whether the current coding value is legal, and respectively calculating the positions of the current coding value and the target coding value in the coding array; the position of the current coding value in the coding array and the position of the target coding value in the coding array are judged, if the position of the current coding value in the coding array is larger than the position of the target coding value in the coding array, the driving direction of the servo motor is reverse, and otherwise, the driving direction of the servo motor is forward. According to the method, the code quantity and the operation frequency are reduced, the calculation time is shortened, and the performance requirement on a control chip of the servo controller is reduced.

The invention provides a cheating detection method and device based on an H5 game, and the method comprises the steps: determining to-be-detected data of a game user in a game match in response to a game behavior of the game user in the H5 game, inputting the to-be-detected data into a pre-trained cheating detection model, and carrying out the cheating detection through the cheating detection model. Determining abnormal data in the to-be-detected data, outputting the abnormal data, determining an abnormal coefficient corresponding to the abnormal data according to the abnormal data, and judging whether the game user has a cheating behavior or not according to a preset detection threshold value and the abnormal coefficient. Through the method, after the game data of the game user in the game match is obtained, whether the game user has cheating behaviors in the game match or not can be efficiently judged through the pre-trained cheating check model.

The invention discloses an abnormality judgment method for a gas turbine and the gas turbine, and relates to the field of gas turbine control. The method comprises the steps that operation data and a standard control limiting value corresponding to the current operation working condition are obtained; processing the operation data to obtain mapping data; calculating a reference index corresponding to the mapping data, and obtaining a control limit value corresponding to the reference index; when it is determined that the control limit value is larger than the standard control limit value, it is judged that the gas turbine is abnormal under the current operation working condition and the current time period; and calculating the contribution rate of each data point of the mapping data, and judging the target corresponding to the data point of which the contribution rate is greater than a preset contribution rate as abnormal. The method and the device are used for solving the problems of poor accuracy, low efficiency and long consumed time when the abnormity of the gas turbine is judged manually in the prior art, and ensuring that the abnormity of the gas turbine is judged automatically, accurately and quickly.

The application discloses a vehicle reverse driving detection method for an expressway, and comprises the following steps: reading single-frame initial data of an expressway video stream, inputting the single-frame initial data into a lane line detection model to obtain lane lines and generate initial lane information; adaptively generating a first region and a second region; merging the two target detection regions, inputting the two target detection regions into a target detection model to obtain vehicle detection results, fusing the vehicle detection results, inputting the fused results into a multi-target tracking algorithm to obtain vehicle trajectory information; judging the driving direction of a lane; and identifying whether reverse driving occurs based on the trajectory information of a current vehicle and the driving direction of the lane where the current vehicle is located. The application can solve the problem of large calculation overhead caused by frame-by-frame analysis of a lane region in a traditional vehicle reverse driving detection method for an expressway by analyzing the relative position relationship between the vehicle motion trajectory and the identified lane in real time.

The invention provides a catechol violet oily acid-base indicator for judging the reaction endpoint of silicone oil. The invention discloses a yellow color in an acidic environment and a red purple color in an alkaline environment, and the color range is that the pH value is 1.5-7, the color range is yellow, the pH value is 7-9, and the color range is red purple, and the pH value is 9-11. The oily acid-base indicator has important application value in chemical production, catechol violet is used as a raw material, an ethanol-acetone-aqueous solution is used as a solvent, the silicone oil acid-base indicator is successfully synthesized, and the silicone oil acid-base indicator has the advantages of being simple in preparation, clear in color development, sensitive in color change and good in indication performance and has very good practical performance.

The invention discloses a cardiovascular disease auxiliary prevention reminding system based on deep learning, which comprises a shell, the top of the outer surface of the shell is fixedly provided with a display screen, and the top of the inner cavity of the shell is fixedly provided with a data acquisition module, a data transmission module, a data processing module and a buzzer in sequence from left to right. Through the arrangement of the data acquisition module, the physiological monitoring module, the data transmission module, the data processing module, the deep learning analysis module, the central control module, the buzzer and the personalized suggestion module, multiple health information of a user is acquired; the health condition and the disease risk of the user can be judged timely and effectively, and personalized health guidance can be performed according to the health condition and the disease risk of the user, so that the user can adjust corresponding living habits, daily exercises and diet according to own health, and the purpose of preventing cardiovascular diseases is achieved.

The utility model provides a sectional type cutting machine, which relates to the technical field of cutting machines and comprises a plurality of groups of supporting legs, a worktable is mounted at the top ends of the supporting legs, a through groove is formed in the worktable, an adjusting mechanism is arranged in the through groove, a placing table is mounted at the top end of the adjusting mechanism, and a cutting table is mounted at the top end of the placing table. A set of sliding grooves are formed in the surface of the workbench, sliding mechanisms are installed in the sliding grooves, an installation frame is fixedly installed at the top end of the workbench, an air cylinder is connected and installed on the top end face of the installation frame, and a cutting mechanism is installed at the bottom end of the air cylinder. According to the device, after an article is placed by a worker, the stepping motor can be started to rotate the cutting direction of the cutter according to the cutting position, and the cutting efficiency is indirectly improved.

The utility model discloses alloy material surface defect laser positioning and correcting equipment which comprises clamping shells which are fixedly mounted on the surface of a conveying belt body and are arranged at equal intervals, rotating rings which are symmetrically arranged are rotationally arranged in the clamping shells, and arc tooth rings which are capable of expanding in the radial direction are arranged on the rotating rings. And the arc tooth ring is also provided with an elastic belt which is circumferentially arranged and is deformed and stretched under the insertion matching of the alloy pipe. According to the laser positioning and correcting equipment for the surface defects of the alloy material, the alloy pipe is stably hooped through the inner walls of the arc-shaped racks, so that the alloy pipe is stably clamped and fixed, and the alloy pipe is rotated below the camera by being matched with the arc gear ring to be meshed with the transmission gear rod; the outer side wall of the alloy pipe can be covered by the recognition range of the camera, so that the purpose of efficient judgment is achieved, the alloy pipe can keep a stable rotating state in the process, the recognition accuracy is improved, and the qualification rate of a whole batch of pipe fitting products is guaranteed.

This application relates to a method, apparatus, and computer equipment for determining short-circuit faults in a double-circuit DC transmission line on the same tower. The method includes: if at least two faulty lines are detected in the double-circuit DC transmission line on the same tower, then, based on the rectifier station end current, inverter station end current, and line grounding current of each faulty line, determining the candidate short-circuit line among the at least two faulty lines; and based on the rectifier station end current, inverter station end current, and loop grounding current of the candidate short-circuit line, determining the target short-circuit line among the candidate short-circuit lines. This method can increase the efficiency and accuracy of target short-circuit line determination and significantly reduce the consumption of manpower and material resources.

The present invention provides a method for predicting the maintenance mode of an electromechanical system based on the underlying characteristics of the fault. The method includes: based on the maintenance record of the electromechanical system, taking the fault data as an example and the fault type as a label, constructing a correlation matrix between the instance and the label, clustering all the labels, calculating the Euclidean distance between the instance and the cluster center of the positive and negative instance sets of the label, and obtaining the mapping relationship between the instance and the label; constructing a binary classifier, taking the fault data of the faulty electromechanical system as an unknown instance, inputting the unknown instance into the binary classifier, and outputting a preliminary determination result of the maintenance mode of the faulty electromechanical system; introducing a calibration label, and using the underlying characteristics of the fault and the calibration label to update the preliminary determination result of the maintenance mode of the faulty electromechanical system, and obtaining the final determination result of the maintenance mode. The method provided by the present invention can effectively determine the maintenance mode based on the data collected from the complex electromechanical system, and has high accuracy.

The embodiments of this specification provide a train satellite positioning deception warning method, system, device and medium, wherein the method includes collecting the positioning data of the train autonomous positioning unit under no deception and preset deception attack conditions based on the deception scenario test, and calculating the historical reference quantity of the navigation satellite signal observation characteristics to obtain the first data set; iteratively training the optimized lightweight gradient boosting machine to obtain the train satellite positioning deception state recognition model; iteratively training the long short-term memory network to obtain the train satellite positioning deception situation prediction model; inputting the real-time positioning data of the train autonomous positioning unit into the deception state recognition model to determine the current deception state flag quantity, and when the deception state flag quantity is a deception state, calling the deception situation prediction model to determine the deception trend flag quantity, and determine the degree of deception influence of the train autonomous positioning unit. This solves the problem that the prior art does not have an active protection mechanism for preemptive prevention from the perspective of forecasting and warning.

The utility model relates to technical field of hardware circuit board circuit structure, concretely relates to a MOS pipe short circuit identification protection circuit, and technical solution main points include the identification circuit between input and the source electrode s of MOS pipe Q3 is connected, identification circuit protection resistance RS1, resistance R1, resistance R2, capacitor C1, triode Q2 and singlechip, the series connection between input and MOS pipe Q1 on resistance RS1, triode Q2's emitting electrode connects input, capacitor C2 one end and resistance R1 one end, triode Q2's base connects capacitor C2 other end, resistance R1 other end and resistance R2 one end, resistance R2 other end connects the joint between resistance RS1 and MOS pipe Q3, triode Q2's collector connects singlechip one pin, the utility model discloses through identification circuit, carries out short circuit detection and identification to MOS pipe, in order to facilitate circuit protection.

The present application relates to a method and system for digital twinning of heavy assets, and belongs to the field of digital twin technology. The method includes: obtaining relevant data information of infrastructure equipment in the target field and performing preprocessing; constructing a digital twin corresponding to the target infrastructure equipment; forming a one-to-one mapping relationship between the constructed digital twin model and multiple digital twins, and determining the attenuation curve of each digital twin based on the digital twin model; in response to detecting that the attenuation change rate of the target time node is greater than the first preset threshold, determining whether to trigger the warning information corresponding to the target digital twin according to the correlation of different digital twins; in response to detecting that the warning information corresponding to the target digital twin needs to be triggered, sending the warning information to the terminal. The present application can accurately and effectively judge and predict safety hazards and other issues, so as to remind relevant personnel to deal with them in time, thereby avoiding unnecessary losses.

The invention discloses a system for judging and isolating a single-phase earth fault based on a centralized FA of a wireless communication master station. The main points of the technical scheme are that the system comprises a transformer station zero sequence voltage transformer, a sequence characteristic wave injection device, a primary and secondary fusion vacuum circuit breaker feeder terminal (FTU), a primary and secondary fusion vacuum circuit breaker, a fault indicator, a wireless communication system and a master station control system. Meanwhile, the invention further discloses a method for judging and isolating the single-phase earth fault based on the wireless communication master station centralized FA, fault judgment and isolation are carried out according to the data and the signals received by the system by applying the preset logic criterion, and the method is used for quickly and accurately judging and isolating the single-phase earth fault. Through deep analysis of sudden changes and characteristic waves of signals such as voltage and current, the speed and reliability of fault determination are improved.

The invention relates to a result mode hidden non-interactive ciphertext connection keyword retrieval method, which comprises the following steps of: in an initial stage, respectively storing a system key and an index structure generated by a data owner in a local data owner and a cloud server; the data owner locally generates trap door information according to the system key and sends the trap door information to the cloud server to execute retrieval operation on the index structure, and after the encrypted data meeting the retrieval condition are returned, the data owner decrypts the encrypted data meeting the retrieval condition according to the system key to obtain a retrieval result. Through a symmetric subset predicate encryption protocol (S2PE) based on an XOR filter and a novel non-interactive index structure generation method, ciphertext connection keyword retrieval in which a keyword pair result mode (KPRP) and a cross-query intersection result mode (IP) are hidden at the same time is achieved, the number of interaction rounds of a cloud server and a data owner is reduced to one, retrieval efficiency is improved, and retrieval time is shortened. The data owner and the cloud server can realize KPRP and IP hiding without extra communication.

The invention belongs to the field of mechanical property test and evaluation of metal materials, and discloses a method for judging the tensile fracture quality of a hot-rolled steel plate. The method comprises the following steps: acquiring a sample with the special fracture; whether yield and necking phenomena occur or not before fracture is confirmed, and mechanical property data are obtained; comparing the performance data with a qualified reference sample; if it is confirmed that yield necking occurs and no significant difference exists in performance, it is directly judged that normal ductile fracture occurs; if the performance difference is obvious, microscopic morphology observation is carried out, and if dimple characteristics are observed, normal ductile fracture is still judged; if yield necking does not occur, microscopic observation judgment is performed, and if cleavage or intergranular fracture characteristics are observed, brittle fracture is judged. According to the method for judging the tensile fracture quality of the hot-rolled steel plate, normal special fractures and material defects of high-strength steel can be quickly and accurately distinguished, unnecessary microscopic reinspection is avoided, judgment standards are unified, quality disputes can be reduced, and material application is promoted.

The application provides a multi-model cooperative detection method and system for traffic abnormal events, and relates to the technical field of intelligent transportation.The method comprises the following steps: constructing a multi-source perception system covering a target traffic area, and obtaining a multi-source traffic data set; performing semantic division based on road structure and traffic operation characteristics, obtaining a plurality of traffic state units, continuously encoding the states, and generating a plurality of time-series traffic state representations; performing traffic state abnormality preliminary screening, and constructing a candidate abnormal traffic event set; inputting a multi-model cooperative analysis framework, performing multi-model joint reasoning, and outputting abnormal traffic event identification results; and combining traffic network propagation characteristics to generate abnormal traffic event response strategies.The application solves the technical problem that the traffic abnormality detection in the prior art often uses a single model to analyze data, which cannot capture multi-dimensional information of complex traffic events, thereby affecting the accurate identification of traffic abnormal events.