134results about How to "Improve judgment efficiency" patented technology

The invention discloses a power grid fault diagnosis system and method based on big data, belongs to the technical field of fault diagnosis, and solves the technical problems that in the prior art, only a line section where a fault occurs can be diagnosed, the type of the fault cannot be judged, and subsequent fault processing is not facilitated. The method comprises the following steps: constructing a fault anomaly library through historical data, and analyzing real-time data based on the fault anomaly library to obtain a preliminary diagnosis result; technicians can prepare in advance; integrating the real-time data into an index feature sequence, calling a fault diagnosis model, and inputting the index feature sequence into the fault diagnosis model to obtain a fault tag; matching a corresponding fault type based on the fault tag; the accuracy and the reliability of diagnosis can be improved; fault position information is obtained according to the data sensor and fault type analysis, and a technician closest to the fault position is dispatched to process the fault; and the fault can be timely processed, and greater influence caused by untimely processing can be avoided.

The invention relates to a system and method for assisting in judging whether salary debt behaviors exist or not, and belongs to the technical field of computer network communication. The system comprises a management server, a data acquisition module, a data analysis module, an early warning prompt module, a complaint processing module and a credit evaluation module; the data acquisition module is in bidirectional signal connection with the management server, the data analysis module is in bidirectional signal connection with the management server, the early warning prompt module is in bidirectional signal connection with the management server, and the complaint processing module is in bidirectional signal connection with the management server. According to the system and the method for assisting in judging whether the salary debt behavior of the migrant worker exists, through mutual cooperation among the management server, the data acquisition module, the data analysis module, the early warning prompt module, the complaint processing module and the credit evaluation module, key data such as fund flow and salary payment conditions of an engineering project can be monitored in real time; and early warning is immediately carried out once abnormity is found, so that the timeliness and accuracy of supervision are greatly improved.

The invention discloses an image category judgment method and device, equipment and a storage medium, and relates to the technical field of artificial intelligence. The method comprises the following steps: acquiring an input image; obtaining a first image category of the input image according to the input image through a first neural network model, the first neural network model being used for classifying whether the input image is an image generated by artificial intelligence AI; under the condition that the confidence coefficient of the first neural network model to the first image category is smaller than a first set threshold value, a second image category of the input image is determined through a second neural network model according to the input image and a text question, and the text question is used for asking whether the input image is AI generation or not; the second neural network model is used for classifying the input image again in combination with the text problem; and determining a determination result of the input image according to the second image category, the determination result being a result of determining whether the input image is an AI generation result. According to the method, the image category judgment efficiency is improved.

The invention relates to an X-ray-based defect identification method, belongs to the technical field of X-ray nondestructive testing, and solves the problems of low accuracy and efficiency of casting defect identification in the prior art. The method comprises the following steps: acquiring an X-ray image of a sample casting, and preprocessing the X-ray image to acquire an edge image of the sample casting; marking whether the contour has defects and defect types according to the area and defect features of each contour in the edge image of the sample casting; training a defect identification model by adopting the marked edge image of the sample casting; obtaining an X-ray image of a target casting, and preprocessing the X-ray image to obtain an edge image of the target casting; and inputting the edge image of the target casting into the trained defect identification model so as to identify whether the target casting has a defect and identify the type of the defect. According to the method, through combination of an X-ray imaging technology, an image processing technology and a machine learning technology, rapid and accurate identification of the internal defects of the casting is realized.

The invention discloses an application of a KASP molecular marker linked with a pumpkin flavor substance 2-acetyl-1-pyrroline in detection or screening of pumpkin germplasm resources containing 2-acetyl-1-pyrroline, the KASP molecular marker is located at the 712637 site of a chromosome 10 of a Chinese pumpkin genome, and the basic group at the site is T or C. The KASP molecular marker can be used for detecting or screening pumpkin germplasm resources containing 2-acetyl-1-pyrroline. The KASP molecular marker and the amplification primer group thereof can be used for accurately detecting whether the pumpkin germplasm resource contains the aromatic substance 2-acetyl-1-pyrroline or not, so that the judgment efficiency of the aromatic substance can be effectively improved, and the planting manpower, material resources and financial resources of non-target breeding resources are reduced.

The invention relates to the technical field of batteries, in particular to a method and a system for detecting positions of tabs in a battery pole group based on machine vision. The method comprises the following steps: acquiring a connected domain of each tab in a to-be-detected battery plate group image; extracting three features of the connected domain of each tab; calculating the similarity between any feature of each tab and the corresponding feature of each template tab in the template battery plate group image; matching each tab in the to-be-detected battery plate group image with each template tab in the template battery plate group image by adopting a KM algorithm to obtain a matching result and the edge weight sum of the matching result; respectively inputting the edge weight sum into a first network model and a second network model to obtain a first anomaly rate and a second anomaly rate, and obtaining an anomaly probability; and responding to the condition that the abnormal probability is greater than a threshold value, determining that tabs with dislocation or defects exist in the to-be-detected battery plate group image. Whether the tabs in the battery pole group are qualified or not can be accurately determined, and the reliability of the battery is improved.

The invention discloses a die nondestructive testing method and system based on data analysis, and belongs to the field of physical or chemical detection.The die nondestructive testing method comprises the steps that die internal defect information is obtained and imported into a defect information analysis model for die internal defect information analysis; obtaining mold appearance image data, importing the mold appearance image data into an appearance deformation analysis model for appearance deformation information analysis, obtaining a mold internal defect information analysis result and an appearance deformation information analysis result, and importing the mold internal defect information analysis result and the appearance deformation information analysis result into a mold life analysis strategy for mold remaining life analysis. And early warning of die replacement is performed according to the analyzed remaining service life of the die, and the remaining service life of the die is accurately estimated in real time by comprehensively analyzing the internal defect information and the appearance deformation information in the using process of the die, so that the judgment efficiency and the judgment accuracy of the service life of the die are improved.

The invention discloses an animal state rapid discrimination method and system based on hierarchical behavior information, and is applied to the technical field of animal behavior analysis, and the method comprises the steps: obtaining an animal spontaneous behavior; performing behavior analysis on the animal spontaneous behavior, and decomposing the animal spontaneous behavior into an action module; and calculating the action conversion frequency of the animal in the preset time and the behavior ratio of the sniffing action and the carding action, and judging the animal behavior state based on the data of the original database. According to the method, the animal does not need to be trained in advance, and the behavior state of the animal can be identified only by recording the spontaneous behavior of the animal and carrying out fine action analysis and calculation.

The invention discloses a new commodity data acquisition method and device based on a shopping cart, which are applied to the technical field of communication, and the method comprises the steps: obtaining the bar code information of a commodity; searching characteristic value data corresponding to the bar code information from a database; when the quantity of the characteristic value data corresponding to the searched bar code information is smaller than a quantity threshold value, determining that the commodity is a new commodity, and sending a shooting acquisition signal to a visual sensor; receiving a multi-frame video image of a new commodity sent by a visual sensor, and screening out candidate images of the new commodity; matching the feature value data of the candidate image with feature value data corresponding to the bar code information in a database, and storing the feature value data in the database when matching succeeds; and when the matching fails, comparing the feature value data of the candidate image of the new commodity with feature value data corresponding to other bar code information except the bar code information in the database, and when the comparison difference is greater than a difference threshold value, storing the feature value data into the database. According to the invention, new commodity images can be automatically collected in the use process of the shopping cart.

The embodiment of the invention provides a data compliance risk supervision method and device, supervision equipment and a storage medium, and relates to the technical field of data processing. Obtaining to-be-analyzed data corresponding to the to-be-supervised business in each to-be-supervised mechanism according to the first business parameter of each to-be-supervised business; performing compliance risk analysis on the to-be-analyzed data corresponding to the to-be-supervised services in the to-be-supervised institutions according to the risk identification algorithms corresponding to the to-be-supervised services, and obtaining risk identification results of the to-be-supervised services in the to-be-supervised institutions; and according to the risk identification result, determining a target to-be-supervised service in the target to-be-supervised mechanism having the non-compliance risk, and according to the first service parameter of the target to-be-supervised service, the mechanism parameter of the target to-be-supervised mechanism and the risk identification result corresponding to the target to-be-supervised service, generating a risk event. Therefore, the centralized management degree of the data compliance risk of different business scenes and the judgment efficiency of the data compliance risk can be improved.

The invention discloses a cable fault abnormity monitoring method and system, and relates to the technical field of cable monitoring, and the method comprises the steps: obtaining the historical fault data of a to-be-monitored cable, and carrying out the analysis of the historical fault data according to the fault type, and obtaining the fault electric data of the corresponding fault type; analyzing the fault electric data to screen monitoring data items of the monitoring equipment; acquiring attenuation properties of the corresponding data items in the cable according to the monitoring data items, determining data propagation distances of the monitoring data items according to the attenuation properties, and recording the data propagation distances as effective propagation data; setting monitoring points for the cable based on the effective propagation data to obtain monitoring point data; and detecting the cable based on the monitoring point data to obtain monitoring data, determining whether the cable has a fault according to the monitoring data, and outputting a corresponding judgment result. The effect of reducing the construction cost of the monitoring system is achieved through reasonable setting of the monitoring points.

The invention relates to a nuclear power plant emergency facility residence judgment method and system, a storage medium and electronic equipment. The nuclear power plant emergency facility residence judgment method comprises the steps that a nuclear power plant emergency facility residence judgment mode is determined according to a selection instruction; the residence judgment mode comprises any one or more combinations of a radiation monitoring-based mode, an accident source item-based mode and an air sampling-based mode; if the judgment mode is any one, a residence judgment result and / or a protection action suggestion are / is given based on the selected judgment mode; and outputting a target residence judgment result and / or a target protection action suggestion based on the residence judgment results of the multiple combinations if the target protection action suggestion is the multiple combinations. According to the method, external irradiation can be judged, contribution of an internal irradiation path can be evaluated, an automatic mode is adopted, the judgment efficiency is improved, human errors can be avoided, the reliability and accuracy of a judgment result are improved, and the reasonability of personnel protection action decisions in emergency facilities is improved.

The invention relates to the technical field of computational lithography, in particular to a mask pattern optimization method, a program product, a storage medium and equipment. The method comprises the following steps: providing a reticle graph; detecting defects of the reticle graph to generate a database file, wherein the database file comprises a defect data group corresponding to each detected defect; displaying the defect data set contained in the database file in real time through the first graphical user interface; receiving a selection instruction for the defect data set in the first graphical user interface, recording the selected defect data set to a second graphical user interface and displaying the selected defect data set in real time; and continuing iterative correction of the optical proximity effect, and after each round of correction in the iterative process is finished, updating the database file according to the newly corrected reticle graph. According to the method, the function of quickly repositioning the previously positioned defect information is provided for workers, the operation steps of a user in the mask graph correction process are simplified, and the working efficiency is improved.

The present invention relates to the technical field of rotary transformers, and its implementation method provides a method, device and equipment for determining the wiring fault of a rotary transformer. The method for determining the wiring fault of a rotary transformer includes: determining that the rotary transformer operates in a DQ axis current closed loop mode, obtaining the correspondence between at least one set of current and position signals of the rotary transformer in the DQ axis current closed loop mode; mapping the theoretical position corresponding to the current and the solution position obtained by decoding the position signal to a plane rectangular coordinate system, obtaining the position relationship between the theoretical position and the solution position based on the coordinate axis, and determining the wiring fault in the primary winding connection, the first secondary winding connection and the second secondary winding connection according to the position relationship. The implementation method provided by the present invention can improve the efficiency of determining the wiring fault of a rotary transformer.

The application discloses a screen projection method, device and system, electronic equipment and a storage medium. The screen projection method comprises the following steps: receiving a broadcast signal; analyzing the broadcast signal to obtain screen projection information; judging whether to display a screen projection request prompt based on the screen projection information; if it is judged to display the screen projection request prompt, the screen projection request prompt is displayed; and in response to a confirmation operation of the user agreeing to the screen projection request prompt, a screen projection operation is performed. The application triggers the screen projection operation by the screen projection end, specifically, the broadcast signal sent by the screen projection end is received, and the screen projection operation is performed according to the screen projection information carried in the broadcast signal, so that the user does not need to search for the screen projection end on the screen projection end, the operation is convenient, the error rate of the screen projection connection is reduced, and the user experience is improved.

The invention belongs to the technical field of observable technology, and provides an electric power information system alarm traceability method and system based on redundancy processing and observation, after alarm information corresponding to a traceability object is determined, alarm types are matched according to the determined alarm information, and the alarm information is displayed on a graphical interface according to the matched alarm types; specifically, when graphical interface display is carried out, whether the alarm type is index alarm is judged, if yes, index graphical interface display is carried out, if not, whether the alarm type is link alarm is judged, if yes, link graphical interface display is carried out, and if not, log graphical interface display is carried out; according to the method, the type matching is performed according to the alarm source, and the graphical interface display object is automatically judged and determined according to different alarm types, so that the judgment efficiency is improved, the overall alarm traceability and the observability of fault information are realized, and the traceability accuracy is ensured.

This invention discloses a method and system for dynamically determining the impact of construction projects on hydrological monitoring, relating to the field of hydrological monitoring technology. The specific steps are as follows: constructing an evaluation index system that couples static and dynamic indicators; assigning static weights to static indicators using the analytic hierarchy process (AHP) and dynamic weights to dynamic indicators using the entropy weight method; calculating the total weight based on the static and dynamic weights; constructing and training a machine learning model; inputting the static, dynamic, and total weight data into the trained machine learning model; and outputting the impact level; automatically matching response measures based on the impact level and trend prediction results. This invention proposes a dynamic weight correction algorithm based on project stage and hydrological conditions, applying machine learning algorithms to determine the impact level of construction projects on hydrological monitoring, achieving a closed-loop linkage from level determination to measure matching, and solving the problems of singular and disconnected evaluation in existing technologies.

The invention provides a sensitive information identification early warning method and system based on a short video and a medium, and relates to the technical field of information identification, and the method comprises the steps: converting audio data into text data; extracting image features and text features, and performing matching association to form a plurality of image-text feature clusters; obtaining the overlap ratio between the image-text feature clusters, converting the overlap ratio into the overlap ratio of the features in each image-text feature cluster, carrying out weight reduction on the image features and the text features with high overlap ratios in the image-text feature clusters, and carrying out feature fusion; sequencing the image-text feature clusters from small to large according to the overlap ratio, and determining a key feature cluster sequence; and sequentially inputting the fused features into a sensitive information identification model for identification until sensitive information is identified. According to the method, feature association in time sequence and repeated feature data weight reduction are performed on the multi-modal data extracted from the short video, so that the concealment feature information of the sensitive data is amplified, and the accuracy of judgment and recognition is improved.

The present invention discloses a network media device status judgment method, system, device and medium, and relates to the network device and streaming media technology field. The method comprises: configuring an ffprobe command for judging the network media device status, and sending command line parameters corresponding to the ffprobe command and a stream pulling address to the network media device to be judged; judging whether the metadata fed back by the network media device to be judged contains the streams keyword according to the stream pulling address, and determining whether the network media device to be judged is online according to the judgment result. The present invention can reduce the probability of accessing abnormal devices and improve the efficiency of users using devices and video monitoring experience.

The present invention provides an infrared spectrum detection system for in-situ insulator aging degree and a judgment method thereof. The system includes an unmanned aerial vehicle, an infrared spectrum detection device, a mechanical arm and a wireless control module. The wireless control module controls the mechanical arm to bring the infrared spectrum detection device close to the insulator to be detected. The wireless control module can receive the infrared spectrum data detected by the infrared spectrum detection device and transmit it to the control terminal that is transmitted to the ground. With the assistance of the work of the unmanned aerial vehicle and the mechanical arm, it is only necessary to approach the insulator to be detected to obtain the corresponding data and judge whether there is aging phenomenon, which solves the problem that the insulator needs to be removed in the current technology in order to collect data to judge aging. The present invention can perform online detection of insulators in the air without stopping the work of the transmission line or removing the insulator.

The invention relates to the technical field of live stage lighting adjustment, and discloses an intelligent lighting adjustment method for a live stage, and the method comprises the steps: obtaining a light spot irradiated to a lighting area by a seat spotlight, and enabling the light spot to be circular; executing a row and column division strategy according to the light spot and the illumination area, and dividing the illumination area into a plurality of rows and columns; executing a screening constraint strategy according to a plurality of rows of the illumination area, and judging whether the seat spotlight irradiates the actor or not; marking the seat spotlight irradiating to the actor as a constraint spotlight; all columns of seat spotlight illumination are obtained, an illumination path planning strategy is executed, and a seat spotlight illumination path is obtained; in the process of restraining the spotlight to illuminate the audience seats, whether the actors are irradiated or not is predicted, and when the actors are irradiated, a classified avoiding strategy is executed, and the actors are prevented from being irradiated. The light of the spectator spotlight is prevented from directly irradiating the actor, so that the actor becomes a black shadow, and the experience of the spectator is not good.

The invention provides a textile antifouling performance testing device and a testing method, which relate to the technical field of textile testing, and comprise a dripping component, a smearing component and a wiping component which are arranged at intervals along the annular direction and respectively connected to a rotating seat, a carrying plate is provided below the output end of the dripping component, the smearing component is provided with a smearing end, and the wiping component is provided with a wiping part, the rotating seat drives the output end, the smearing end and the wiping part to be alternately placed above the carrying plate, so as to alternately drip, smear and wipe contaminants on the sample on the carrying plate, and to solve the problem of low efficiency in the current textile antifouling performance testing, a rotating seat is provided to drive each functional component to move, and the functional component acting on the sample is switched, so as to realize a standardized process of dripping, smearing and wiping, and at the same time, the operation sequence can be switched to realize different requirements, the wiping action on the sample is applied by the wiping part, and the wiping is repeated for multiple times to ensure the accuracy of the test data, reduce the manual burden and improve the efficiency.

The invention belongs to the technical field of network security, and particularly relates to a new energy power industry network security anomaly intrusion detection system, which comprises a network security anomaly intrusion detection system, and the network security anomaly intrusion detection system comprises an Ethernet, an administrator client, a user side, a data training module and a control center module. The administrator client comprises a response module, an intrusion detection module, a data preprocessing module and a data capture module; the user side comprises a power supply I, a processor module, a display module, a storage module, an input module and a network connection module; according to the invention, the administrator client carries out preliminary judgment on the communication data in the Ethernet and notifies the staff at the same time, so that the staff judges the result in the communication data, all suspicious data packets can be discarded in real time, the subsequent communication of the data stream is blocked, and the security of the system is improved; the problem that an existing system cannot process communication data in time is solved.

The invention provides a liquid state monitoring method in a magnetic separation process, a magnetic separation system and a state monitoring device applied to the magnetic separation system, the magnetic separation system comprises the state monitoring device, a magnetic separation device and a probe, and the probe moves in a magnetic separation hole site of the magnetic separation device based on a motion instruction. The method comprises the following steps: acquiring a first capacitance value of a probe at a target motion moment in a target motion process, wherein the target motion process corresponds to a target motion instruction; and determining whether the magnetic separation device is abnormal or not according to the first capacitance value and a target capacitance value associated with the target motion instruction. And the state of the magnetic separation device can be monitored in time.

The present invention discloses a vehicle-mounted mechanism controller and a control method for a floorless garbage truck, which relate to the field of garbage transportation and solve the problem that the existing floorless garbage truck often relies on the driver to make judgments when making passability judgments, which easily causes a large deviation between the judgment result and the actual situation. The controller comprises a data acquisition module, a data analysis module, a data processing module and a vehicle-mounted control module, wherein the data acquisition module acquires basic control data, the data analysis module analyzes the basic control data to obtain control analysis data, the data processing module processes the basic control data and the control analysis data to obtain control management data, and the vehicle-mounted control module controls the floorless garbage truck according to the control management data and the control analysis data. The present invention judges the passability of the road ahead of the floorless garbage truck, which improves driving safety compared to the traditional garbage truck which needs manual judgment.

The invention relates to the technical field of traffic control, in particular to a road and railway crossing safety prevention and control system, which comprises a prevention and control center, a thickness gauge, an unmanned aerial vehicle and a satellite, and is characterized in that the prevention and control center comprises a controller, a prevention and control tower and an emission light source; traffic marking lines for prohibiting vehicles from crossing are arranged on the two sides of the road surface respectively, and first reflecting surfaces are arranged on the traffic marking lines; a rail top is selected as a second reflecting surface; using a thickness gauge to measure the thickness of the rail and the road; the emission light source emits light to the first reflection surface and the second reflection surface, an initial reflection path is formed through reflection, and the unmanned aerial vehicle and the satellite are controlled to be located on the reflection path; an existing structure is used or transformed, the transformation cost is low, and the durability is extremely high; the launching angle is fixed, the unmanned aerial vehicle and the satellite are both located on a reflection path, and recognition can be achieved through one-time launching of the launching light source; according to the invention, through air-space-ground integrated monitoring, the safety of the intersection of the road and the railway is ensured.

The application discloses a power electronic distribution network transformer propagation model optimal adaptation method and system, and the method comprises the following steps: calculating transformer winding leakage inductance and winding resistance, and transformer excitation inductance and excitation resistance; estimating the equivalent value of each link distributed capacitance; deducing the propagation coefficient of the high-frequency transformer model and the low-frequency transformer model at any frequency under the excitation source; calculating the relative deviation amount of the corresponding propagation coefficient of the high-frequency transformer model and the low-frequency transformer model at different frequencies in the required frequency band of the simulation scene; obtaining the maximum value of the relative deviation amount of the propagation coefficient under all conditions in the required frequency band of the simulation scene; when all the maximum values of the relative deviation amount of the propagation coefficient are less than the set relative deviation limit value, the low-frequency transformer model is selected for the simulation scene, otherwise the high-frequency transformer model is selected; the application has the advantages that the optimal selection of the transformer model is performed under the consideration of the simulation efficiency and accuracy requirements.

The invention relates to the technical field of computers, and discloses a code commissioning result judgment method and device and a code commissioning method and device. The judgment method comprises the following steps: after a target code is deployed on a target server, calculating an index value set of a plurality of indexes by utilizing an obtained service processing data sequence, an obtained request and error data sequence and an obtained server load data sequence of the target server; for any first target index, calculating target deviation data according to the first target index value set and a preset target index normal probability; determining an acceptable interval taking preset target historical deviation data as a center; if all the target deviation data are within the corresponding acceptable intervals, it is judged that the target code is put into production successfully; otherwise, judging that the target code is put into production unsuccessfully. According to the method, the judgment process of the code commissioning result is standardized and automated, the judgment efficiency and accuracy of the commissioning result are greatly improved, and the labor cost is reduced.

The invention belongs to the technical field of ventilation devices, and particularly relates to a warm air filter ventilation device which comprises a transfer box body, a main ventilation pipeline is inserted into the upper surface of the transfer box body, a first branch pipe and a second branch pipe are inserted into the surface of the main ventilation pipeline, and transmission assemblies are arranged in the first branch pipe and the second branch pipe correspondingly. Each transmission assembly comprises a first gear, a rectangular frame body, a main rotating shaft, an air plate with holes, a first connecting guide rod, a first toothed plate and a second toothed plate, and branch pipe judging assemblies are arranged on the surfaces of the first branch pipe and the second branch pipe respectively; it can be judged that no gas flows in the first branch pipe and the second branch pipe when the first warning lamp runs, the wind power condition in the pipeline can be judged by observing the running states of the third warning lamp and the second warning lamp, and stress in the rotating process of the first connecting shaft tends to be balanced; and the resistance in the rotating process of the first connecting shaft is reduced.