25results about How to "Effective judgment" patented technology

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 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 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 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.

The present application relates to the production process field, specifically relates to a kind of integral forming foaming production process for filling sub-class components in mould, comprising the following steps: setting mould, taking material, lifting transfer, pre-embedded part installation seam identification, fixed pre-embedded part, fastening pre-embedded part and foaming etc.Step;Through the above steps, the present application solves the production process that same type product needs to be glued to connect pillow core body and sub-class components, improves environmental protection and appearance, greatly improves production efficiency, saves cost;Also eliminate the possibility of pillow core body and sub-class components separation after long time use, need after-sales maintenance.

This application relates to the field of test tube detection technology, and more particularly to a test tube detection method, apparatus, electronic device, and storage medium. The method involves adjusting the tilt angle of a photoelectric module relative to a carrier rack so that when no test tube is placed in a slot of the carrier rack, the first detection point of the photoelectric module is located on the carrier rack plane corresponding to the slot, and when a test tube is placed in a slot of the carrier rack, the second detection point of the photoelectric module is located on the side wall of the corresponding test tube. The method also involves acquiring a test tube detection command sent by a host computer, wherein the test tube detection command includes at least one target slot in the carrier rack; driving the moving mechanism to position the photoelectric module above the target slot for detection, obtaining a detection result indicating whether a test tube is placed in the target slot, and uploading the detection result to the host computer. Therefore, based on the detection operation process of the moving mechanism and the photoelectric module, the method can efficiently, flexibly, and accurately determine whether a test tube exists in the carrier rack.

This invention provides a method for detecting transmission line temperature based on data model prediction, comprising: acquiring transmission line images, including infrared and visible light images; classifying and storing the images according to geographical information acquired at the time of acquisition; aligning the transmission line images; removing background interference using visible light images; extracting features from the infrared images and storing them as a hierarchical three-dimensional database of temperature gradients and geographical information; constructing a model based on the isolated forest algorithm using the hierarchical three-dimensional database; making predictions using the constructed model; and performing residual analysis on the predicted and actual values ​​to predict fault points and trend changes. By constructing a temperature data information model using temperature data, and using isolated forest outlier detection and gradient change patterns to determine the temperature changes of each tower, the method reflects the fault change patterns of the towers. Through data prediction and analysis, it enables early prediction and warning of potential hazards, rapid screening and prediction, and improves implementation efficiency and practical application significance.

This application discloses a method for spatial layout of a vehicle trunk and a vehicle in the field of intelligent cockpit technology. When the currently available space in the trunk is insufficient to accommodate items to be loaded, the method combines the actual occupancy status of the rear seats with the optimization goal of maximizing rear passenger space while meeting the needs for item storage. It then formulates a reasonable rear seat adjustment scheme and determines the corresponding target available space, achieving dynamic adaptive expansion of the storage space. Based on this, and combining the target available space and the spatial attribute parameters of the items to be loaded, an adaptive loading layout strategy is further generated, and the seat adjustment scheme and loading layout strategy are output uniformly to guide the user through the operation. This method deeply integrates dynamic space adjustment with loading planning under multiple constraints, fully exploring the potential of in-vehicle storage space while balancing loading and passenger usage needs.

The application relates to the technical field of anti-cheating analysis, in particular to an anti-cheating method based on client behavior analysis, which comprises the following steps: dividing a game process into multiple time periods, calculating high-frequency operation strength by combining statistical feature differences, fluctuation amplitudes and click densities, and screening high-frequency operation time periods by clustering to extract operation shock strength; dividing virtual joystick states based on non-cheating user behaviors, marking outlier operations according to state switching time length and preset response time value range matching conditions, and constructing operation outlier degrees; and fusing game service data, operation shock strength and operation outlier degrees to form a feature vector, and using an isolation forest model to perform anti-cheating judgment on a user to be detected. The application solves the problem that existing plug-in detection methods rely on static thresholds and ignore actual running states of devices, which leads to the inability to effectively identify hidden cheating and a high misjudgment rate, and improves the accuracy of anti-cheating behavior monitoring.

This invention discloses a method for identifying photomask defects, belonging to the field of photomask inspection technology. The method includes: S1, acquiring a surface defect image; S2, preprocessing the surface defect image based on the imaging characteristics of the defect; S3, correcting the preprocessed surface defect image using a filtering algorithm; S4, performing colorimetric analysis on the corrected surface defect image to obtain particle regions; S5, segmenting the particle regions based on the morphological features of the defect to obtain defect islands; S6, performing morphological analysis on the defect islands to obtain the defect type and size. The photomask defect identification method provided by this invention automatically processes surface defect images and extracts defect islands by combining morphological and colorimetric analysis methods, improving the accuracy of defect identification, overcoming the limitations of differences in imaging systems across different devices, achieving automatic batch processing, and saving manpower and material resources in mass production.

The application discloses a method and device for identifying road congestion state in real time, equipment and storage medium. Including: obtaining trajectory data corresponding to an idling vehicle equipped with a front image device, filtering a target vehicle driving on a road based on the trajectory data; extracting the front view image of the target vehicle, inputting the front view image into a pre-trained traffic object recognition model, and outputting the traffic object recognition result in the image; based on the traffic object recognition result, filtering an initial congestion image and automatically labeling the traffic light category corresponding to the initial congestion image; based on the traffic light category, inputting the initial congestion image into the corresponding congestion recognition model, and outputting the congestion level determination result of the current vehicle. Through image data recognition and congestion level recognition, the application accurately determines the congestion level, improves the accuracy and real-time performance of congestion recognition, provides strong support for traffic management and optimization, and improves road traffic efficiency.

The application provides a cargo state change determination method and device, a server and a readable storage medium. The method comprises the following steps: acquiring a first cargo state image before transportation and a second cargo state image after transportation of cargo of a to-be-detected vehicle; preprocessing the first cargo state image and the second cargo state image to obtain double-channel gray image data; determining the similarity of the double-channel gray image data; and determining whether the cargo state changes based on the similarity. According to the application, the similarity of two cargo state images before and after transportation is determined, so that the cargo state change before and after transportation can be determined at low cost and high efficiency, and the judgment accuracy and efficiency are improved.

The invention belongs to the technical field of gas reservoir development, and discloses an ultra-deep ultrahigh-pressure fractured low-porosity sandstone gas reservoir gas well sand production prediction method and system.The prediction method comprises the steps that it is assumed that a plastic area exists in surrounding rock of a to-be-measured well, and the plastic area is of an oval structure; the method comprises the following steps: acquiring the length of a major semi-axis of a plastic region of an elliptical structure by utilizing the acquired borehole radius, rock cohesive force, rock internal friction angle, bottom hole pressure, maximum horizontal ground stress and minimum horizontal ground stress of a borehole to be measured and combining a pre-constructed projection model of the plastic region of the elliptical structure, and comparing the length of the major semi-axis with the borehole radius, determining whether the to-be-measured well produces sand or not; and when the to-be-measured well produces sand, acquiring the radius of the plastic region by using a pre-constructed plastic region radius model, and completing the sand production prediction of the ultra-deep ultrahigh-pressure fractured low-porosity sandstone gas reservoir gas well. The prediction result of the method is accurate and reliable.

The invention relates to the field of display, in particular to a display panel and a display device.The display panel comprises a first substrate, the first substrate comprises a display area and a non-display area arranged around the display area, and a driving chip, a common wire and a water vapor detection circuit are arranged in the non-display area; the common wire and the water vapor detection circuit are arranged around the display area; the water vapor detection circuit is connected with the common wire; the common wire is connected with the driving chip; when the driving chip detects that the water vapor detection circuit and the common wire are not conducted, the display panel is in a first state; and when the driving chip detects that the water vapor detection circuit is conducted with the common wire, the display panel is in a second state. By means of the mode, whether the display panel is invaded by water vapor or not can be rapidly and conveniently judged, and the service life of the display panel can be prolonged.

A UV light source adhesive curing device includes: a lamp board, UV lamp beads fixedly connected to and electrically connected to the lamp board; and an energy sensor fixedly connected to the lamp board and located on the side of the lamp board where the UV lamp beads are located, viewed perpendicular to the lamp board. The energy sensor and the UV lamp beads are arranged side by side on the lamp board. The energy sensor receives UV light emitted by the UV lamp beads to determine if the UV lamp beads are on. By receiving UV light emitted by the UV lamp beads and determining if they are on, the energy sensor can monitor the status of the UV light source in real time. The design of determining whether the UV lamp beads are on based on whether they receive UV light ensures that insufficient UV light intensity can be effectively detected, and corresponding actions can be performed based on the detection result, avoiding the problem of ineffective adhesive curing.

The application is suitable for the technical field of intelligent evaluation, and provides an effect evaluation method and system suitable for immune intervention measures, which comprises the following steps: firstly, accurately obtaining first TCR repertoire data information and second TCR repertoire data information of a target object; then, determining first immune age information according to the first TCR repertoire data information, and determining second immune age information according to the second TCR repertoire data information; and finally, effectively generating evaluation result information based on the above. The application can establish a brand-new and highly sensitive end-point index, which can be used for the evaluation of clinical trials and health products. The index quantifies the specific influence of intervention measures on the 'youthfulness' of the immune system, provides objective and automated judgment criteria, and evaluates the effectiveness of immune intervention measures, thereby improving the reliability of the evaluation, providing a more solid foundation for scientific research and clinical application, promoting the research and optimization of health products, and better meeting individual health needs.

The application discloses a kind of methods, systems, devices and storage medium for determining that water-soluble paper blockage causes boiler tube burst, belong to boiler operation and maintenance technical field.Get the start-stop time of unit before boiler tube burst, and judge whether the time interval from the last unit startup and grid connection when tube burst occurs is less than the preset time;Get the last unit shutdown maintenance project, and judge whether the pipe ring that occurs tube burst has been subjected to pipe cutting and welding operation;Get the on-site image information of boiler tube burst, and judge whether the failure mode is short-time overheating tube burst.If the above determination results are all yes, then determine that boiler tube burst is caused by water-soluble paper blockage;If no, then it cannot be determined that boiler tube burst is caused by water-soluble paper blockage.The application can quickly and accurately determine whether tube burst is caused by water-soluble paper as foreign matter blocking boiler pipe, thereby winning valuable time for unit rapid repair, and avoiding the recurrence of similar accidents.

This utility model discloses an integrated device for testing the number of uses of anti-fog cloth, relating to the field of anti-fog cloth technology. It aims to solve the technical problem of uneven surfactant distribution on the glass sheet caused by full-coverage wiping with anti-fog cloth, resulting in insufficient accuracy of test results. The device includes a housing with a partition in the middle. From left to right, cavities A, B, C, and D are arranged on the front surface of the partition. A wiping mechanism A is arranged in cavity A, and a testing mechanism is arranged in cavity B. This utility model optimizes the design of the bushing and shaft structure. A drive motor drives the bushing to rotate via gear set A, which in turn causes the lower housing B to rotate synchronously. Simultaneously, the meshing transmission of gear set B causes the reciprocating screw to move the wiping plate radially within the housing. This allows the anti-fog cloth to move in a radial spiral trajectory as the housing rotates, achieving comprehensive and uniform wiping of the glass sheet surface and improving the problem of uneven surfactant distribution in traditional wiping methods.

The invention discloses an interface function detection method and device and a readable storage medium, and the method comprises the steps: applying a test signal to a control interface of a tested device; wherein the test signal is configured to simulate cooperative work between at least one external device and the device under test; collecting feedback information output by the tested equipment in response to the test signal through at least two different functional channels; and judging whether the function of the control interface is normal or not by analyzing the relationship between the feedback information and / or the logic association between the feedback information and the test signal. According to the invention, the system can achieve the integrated and automatic detection of the functions of a complex control interface through simulating a real cooperative working condition and carrying out the cross verification through a multifunctional channel.

This invention relates to the field of image analysis technology, and more particularly to an intelligent gas leak monitoring system based on infrared thermal imaging, comprising: a pipeline robot; a feature region extraction module for determining feature regions in an infrared image based on local temperature difference and thermal steepness reference values; an analysis selection module for determining whether to perform cloud feature analysis or test analysis based on the number of cloud feature images when feature regions exist; a feature analysis module for determining whether a leak exists in cloud feature analysis based on gas absorption depth and peak interval variation coefficient; a test analysis module for applying low-frequency vibration to a target pipeline area and determining whether it is under suspected leak conditions based on multi-band absorption ratio; and a suspected leak analysis module for determining the region category of the target pipeline area based on the spatial convergence of the leak source and determining a processing strategy based on the region category. This invention can improve the positioning accuracy of leak sources.

This invention discloses a SNP molecular marker for identifying the flowering period of Osmanthus fragrans and its application, belonging to the field of Osmanthus fragrans molecular marker technology. This invention provides an SNP molecular marker significantly associated with the flowering period of Osmanthus fragrans, located at position 14870380 on chromosome 12, with polymorphism A or C. Furthermore, by detecting the genotype of this SNP molecular marker, the flowering period phenotype of Osmanthus fragrans can be efficiently determined. Therefore, this SNP molecular marker has good application prospects in identifying the flowering period of Osmanthus fragrans or in Osmanthus fragrans assisted breeding. In addition, this SNP molecular marker can be detected in batches and applied to seedling flowering period screening, contributing to molecular-assisted breeding, germplasm resource identification, and variety rights protection of Osmanthus fragrans.

The invention relates to the technical field of data analysis, and discloses a dynamic metadata analysis system and method based on JSON (JavaScript Object Notation), and the system comprises an information obtaining module which obtains the byte length of all collection moments within a preset duration before the current moment; the hierarchical difference module divides a preset time length into a plurality of time periods, and determines a hierarchical difference metric value based on the dispersion degree of the byte length; the cross-layer difference module determines a cross-layer difference degree and a metadata drift coefficient based on the difference of byte lengths between the end period and the remaining period; and the data analysis module performs weighted summation on the hierarchical difference metric value and the metadata drift coefficient to obtain a comprehensive dynamic metadata analysis influence value, judges whether data analysis can be performed on the JSON document or not, accurately and efficiently judges whether data analysis is suitable for being performed at the current moment or not, avoids invalid analysis operation when metadata is unstable or structural fluctuation is relatively large, and improves the analysis efficiency of the JSON document. The waste of computing resources is remarkably reduced, and the overall analysis efficiency is improved.

The application relates to a door type scaffold with a vertical detection function and a vertical detection method, and belongs to the technical field of building construction. In order to overcome the fact that the verticality of the installation of steel pipes in a scaffold is difficult to be detected in real time in the prior art, and the construction efficiency and construction safety are affected, the door type scaffold with the vertical detection function comprises a base and a plurality of support pipes, the base and the support pipes both comprise a socket assembly, the socket assembly comprises a socket pipe, a gravity mechanism and a plurality of detection mechanisms, the gravity mechanism comprises a plumb bob, a connecting rod and a leveling disc, one end of the connecting rod is connected with the plumb bob, the other end of the connecting rod penetrates through the leveling disc and is connected with a fixed disc in a universal mode, and the detection mechanism comprises a detection rod and a marker rod, the lower end of the detection rod is abutted against the leveling disc, the upper end of the detection rod is connected with the marker rod, and the other end of the marker rod extends to an observation window. The application aims to realize real-time detection of the verticality of the connection between the steel pipe and the base, the steel pipe and the steel pipe, improve the construction convenience and the construction efficiency, and guarantee the construction safety and quality.