54results 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 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 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 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 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 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 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 utility model relates to the technical field of water supply system detection equipment, in particular to a novel water supply exhaust pressure measuring device which comprises a pressure measuring meter, a quick-opening ball valve is installed at the lower end of a pressure buffer pipe, an L-shaped connecting pipe is installed at the lower end of the quick-opening ball valve, and the quick-opening ball valve is connected with a three-way connector through the L-shaped connecting pipe. A connecting pipe is installed at one end of the three-way connector, an automatic exhaust valve is installed at the upper end of the connecting pipe, a corrugated hose is installed at the other end of the three-way connector, and the end, away from the three-way connector, of the corrugated hose is connected with a multifunctional conversion connector. The multifunctional adapter is adopted, diversified use scenes and hierarchical functions of the device are enriched, the pressure measuring process is more flexible and convenient, the efficiency of on-site judgment and problem solving is greatly improved, meanwhile, the specification of the multifunctional adapter is diversified, the multifunctional adapter can be rapidly matched with water supply pipelines of different specifications, and the practicability is high. And the application range of the device is obviously expanded.

The invention discloses a secondary side wiring judgment system and method for multiple current transformers. The system comprises a multi-channel data acquisition module, a data communication module and a judgment module, the multi-channel data acquisition module comprises a plurality of channel data acquisition units; the first channel data acquisition unit comprises a parallel resistor; each channel data acquisition unit acquires a current signal output by the corresponding current transformer; the first channel data acquisition unit is also used for acquiring a specific voltage signal corresponding to the current signal output by the corresponding current transformer; the data communication module sends current signals acquired by the channel data acquisition units and specific voltage signals acquired by the first channel data acquisition unit to the judgment module; the judgment module determines each power signal according to each current signal and the specific voltage signal, and also judges the phase relation of the plurality of current transformers in a three-phase output loop of the generator set; and the wiring consistency of the secondary sides of the plurality of current transformers is judged according to the relation and the phase relation of the power signals.

This invention relates to a method for determining soil compaction degree using balers based on real-time machine parameters. Specifically, it relates to a method for determining soil compaction degree in the agricultural field. The purpose of this invention is to address the problems of existing soil compaction degree determination methods, which rely on laboratory testing, consider only a single parameter, have low accuracy, and poor real-time performance. The process is as follows: Acquire the real-time driving speed of the tractor, the tractor's own weight, the tractor's load weight, the tractor's tire pressure, the number of tractor trips, the mass of straw collected per unit time, and the baler's straw compaction density; obtain standardized real-time driving speed of the tractor, standardized tractor's own weight, standardized tractor's load weight, standardized tractor's tire pressure, standardized number of tractor trips, standardized mass of straw collected per unit time, and standardized baler's straw compaction density; calculate the soil compaction degree using a matrix method; and classify the soil compaction degree into grades.

The present application belongs to the field of plaintext recognition. It is a method for plaintext recognition of strings based on feature information calculation. After obtaining and parsing a certain amount of plaintext strings and ciphertext strings, the judgment thresholds of the plaintext strings under five dimensions are obtained by multi-dimensional analysis and training of the strings, which are information entropy threshold, average distance threshold, conversion probability threshold, readability threshold and continuous segment threshold. After determining the priority of each threshold, the string is respectively calculated for information entropy, average distance between adjacent characters, character type conversion probability, string readability judgment and character type continuous segment ratio to obtain a calculated score, and then the corresponding calculated score of each priority is compared with the threshold in order of priority to determine whether it is a plaintext string, and the plaintext string that has been judged is marked, thereby improving the judgment efficiency. In this way, the string features are analyzed from multiple angles to improve the accuracy of plaintext recognition.

The purpose of the present invention is to provide a test method for avoiding misjudgment of voltage difference in chip design, the method comprising: constructing a voltage identification device; using the voltage identification device to mark on the constructed circuit; generating a corresponding layout according to the constructed circuit; constructing a comparison rule of the calibre LVS tool; using the calibre LVS tool to verify whether there is a voltage mislabeling or missing mark in the layout according to the comparison rule. The present invention uses the calibre LVS tool to intelligently detect whether there is a voltage mislabeling or missing mark, so that the efficiency and accuracy of the detection are greatly improved, and the accident of chip breakdown caused by failure to judge where the voltage difference is too large is avoided.

The present invention proposes a method for judging the stage of tobacco leaf baking process, which belongs to the technical field of tobacco leaf baking. The method for judging the stage of tobacco leaf baking process, before actual baking, inputs preset baking parameters of the entire baking process through the control end of the baking room; in the entire baking process of actual baking, according to the calibrated data collection time t of the baking process stage, collects the hyperspectral information of tobacco leaf state index X; and establishes characteristic spectral data of tobacco leaf state index X at the collection time t through the hyperspectral information collected at the time t; compares the characteristic spectral data of tobacco leaf state index X at the actual baking time t with the pre-calibrated hyperspectral information; and judges the stage of the current tobacco leaf baking process through the comparison result. The automation of the stage judgment of the tobacco leaf baking control process can be realized, and the efficiency of judging the stage of the baking process can be improved.

The present invention discloses an automated traffic regulation compliance determination method and device for autonomous driving testing, and belongs to the field of autonomous driving technology. The method comprises: obtaining a scene map of the autonomous driving test, and drawing a semantic map based on the scene map, wherein different traffic elements in the scene map correspond to different colors in the semantic map; performing an autonomous driving test, and calculating the vehicle projection area of ​​the test object in the semantic map based on the world coordinates and bounding box of the test object; judging whether the vehicle projection area contains the target traffic element based on the color of the traffic element; judging whether the test object complies with traffic rules based on the judgment result of whether the vehicle projection area contains the target traffic element; and evaluating the traffic regulation compliance of the test object according to the statistics of the test object's compliance with traffic rules during the autonomous driving test. The present invention improves the accuracy and reliability of the traffic regulation compliance determination results, and improves the determination efficiency.

The invention relates to the technical field of intelligent vehicles, and provides an intelligent cabin instrument self-checking method and device and electronic equipment. The method comprises the following steps: starting a target detection model to detect the state of a target indicator light in an intelligent cabin under the condition of determining that the intelligent cabin starts instrument self-inspection, and obtaining a first time when the target indicator light is lighted for the first time and a second time when the target indicator light is extinguished for the first time after the target indicator light is lighted; when the absolute value of the time difference between the second time and the first time is smaller than the preset threshold value, it is determined that self-inspection of the instrument corresponding to the target indicator light passes, intelligent cabin instrument self-inspection verification based on interface detection is achieved, the accuracy of self-inspection result judgment is improved, and the judgment efficiency is improved.

The invention relates to the field of circuit board manufacturing, and particularly discloses an interlayer alignment method for a five-layer LCP circuit board and the five-layer LCP circuit board. A first LCP base material, a second LCP base material, a third LCP base material and a fourth LCP base material are stacked in sequence; each second sight hole in the second piece of LCP base material and each alignment ring on the third piece of LCP base material are positioned in each first sight hole of the first piece of LCP base material, and when the hole edge of the second sight hole in each corner of the second piece of LCP base material is positioned in the corresponding alignment ring of the third piece of LCP base material from each first sight hole of the first piece of LCP base material, the hole edge of the second sight hole in each corner of the second piece of LCP base material is positioned in the corresponding alignment ring of the third piece of LCP base material; and judging that the alignment fitting precision of the second piece of LCP substrate and the third piece of LCP substrate meets the requirement, and through the method, the alignment precision of the circuits between the inner layers of the five-layer LCP circuit board can be visually and accurately identified, the material waste is reduced, and the production cost is reduced.

The application discloses a fault detection method and device, equipment, medium and program product, and relates to the technical field of fault diagnosis. The method comprises the following steps: acquiring a first voltage signal and a first current signal input to a converter, and a second voltage signal of a DC bus; determining whether a voltage variation represented by the second voltage signal is greater than a preset variation, and obtaining a first determination result; if the first determination result indicates that the voltage variation represented by the second voltage signal is not greater than the preset variation, fusing the first voltage signal and the first current signal to obtain a fused signal; and processing the fused signal to obtain a fault position of the converter. The method effectively avoids the problem that the current fault position and the voltage fault position do not correspond in the traditional detection method, and improves the efficiency and accuracy of fault position determination.

A method and device for determining reference teeth of a seven-tooth chain wheel relates to the technical field of chain wheel repair, and comprises the following steps: determining a mapping position of a symmetric center line of outer teeth of the seven-tooth chain wheel on an inner spline; one outer tooth is used as a candidate tooth, and the other outer teeth are used as judgment teeth; determining a reference line based on the symmetric center line of the candidate teeth; determining whether the mapping positions corresponding to the judgment teeth on the two sides of the reference line are consistent or not, and if yes, determining the candidate teeth as reference teeth; according to the method, the reference teeth of the seven-tooth chain wheel are judged according to the geometrical relationship that the mapping positions corresponding to the outer teeth on the two sides of the reference teeth of the seven-tooth chain wheel are consistent, whether the candidate teeth are the reference teeth or not is determined by determining whether the mapping positions corresponding to the judgment teeth on the two sides of the candidate teeth are consistent or not, the operation process is greatly simplified, and the judgment efficiency is improved.

This invention provides a method and system for optimizing logistics shuttle routes based on ant colony optimization algorithm, relating to the field of route optimization technology. The method includes: allocating orders to logistics shuttles; setting up sub-simulation vehicles; constructing multiple routes using the sub-simulation vehicles and leaving time markers; assigning importance levels to each route; obtaining the priority order of logistics shuttles; and optimizing the routes of logistics shuttles according to the priority order. This invention addresses the problem in existing technologies where logistics shuttle route optimization cannot determine whether a logistics shuttle should change routes or stop and wait when route conflicts occur, leading to reduced logistics transportation efficiency due to logistics shuttles choosing time-consuming collision avoidance methods.

The invention discloses a power grid fault equipment positioning method and device and a storage medium, and the method comprises the steps: collecting a wave recording file collected by a power grid for primary electrical equipment which triggers a protection action event when the power grid is monitored to start the protection action event; determining the fault of the power grid according to the recording file; positioning a first weight of a fault of one electrical secondary device in the power grid according to the protection action event; positioning a second weight of a fault of the primary electrical equipment in the power grid in the power direction according to the wave recording file; positioning a third weight of a fault of the primary electrical equipment in the power grid in the differential current direction according to the wave recording file; and according to the first weight, the second weight and the third weight, positioning the primary electrical equipment with the fault in the power grid. According to the embodiment, the primary electrical equipment with the fault of the power grid is comprehensively positioned from the dimensions of protection action events, power, differential current and the like, the judgment efficiency and accuracy of the power grid fault can be effectively improved, the accident power failure time is shortened, and the safe operation level of the power grid is improved.