16results about How to "The result is objective" patented technology

The invention relates to a method for integrally evaluating the class state of a student by taking a classroom as a unit, which belongs to the field of education quality management and comprises the following steps of: S1, acquiring a classroom video and segmenting the classroom video into a frame image sequence; s2, students in each frame of image are detected according to a human body detection algorithm, and human body areas are cut out; s3, outputting human skeleton points according to a posture detection algorithm, and generating a pure skeleton line segment image; s4, classifying the skeleton line segment images based on a pre-trained posture classification model, and evaluating the learning posture of each student; and S5, counting all student states in each frame of image, finally combining evaluation results of all frames, and calculating the student state of the whole class. According to the invention, through the training model, the learning state of the student can be objectively counted according to a posture detection algorithm, and the method has the characteristics of fast statistical speed, objective result, trainable model and adjustable standard.

The invention discloses a user-side energy storage grid-connected risk level evaluation and safe operation evaluation method, which comprises the following steps of: firstly, constructing a risk level index system by considering limiting factors of a user-side energy storage risk level; and then, an improved entropy weight method is adopted to calculate the index weight of a risk index system of the user-side energy storage system, risk grade division is carried out, and a risk grade evaluation process of user-side energy storage is constructed. And finally, evaluating the safe operation of the user side energy storage system on the distribution network side based on an AHP-entropy weight method. According to the method, a user-side energy storage grid-connected risk level evaluation method and a user-side energy storage grid-connected safe operation evaluation method are improved, the grid-connected risk level can be evaluated more accurately, safe operation evaluation is carried out on the basis of risk evaluation, the safety and reliability of user-side energy storage grid connection are further enhanced, and the user-side energy storage grid-connected risk level evaluation method and the user-side energy storage grid-connected safe operation evaluation method are improved. And an effective guarantee is provided for user-side energy storage grid connection.

The invention discloses an urban public service facility utilization efficiency evaluation method based on high-resolution satellite data, and relates to the technical field of satellite remote sensing. The method comprises the following steps: extracting a spatial range of urban public service facilities through high-resolution satellite data; utilizing the acquired population position data to construct urban public service facility people flow fluctuation models in different time periods, and determining a reasonable people flow interval; carrying out abnormal value detection on the human traffic of the urban public service facility; and constructing an urban public service facility utilization rate evaluation model, and evaluating the utilization rate of the urban public service facility. According to the urban public service facility utilization rate evaluation method based on the high-resolution satellite data, the result of the method is real and objective, uncertainty generated by reported data of urban public service facilities is avoided, the open condition and the utilization efficiency of the urban public service facilities can be mastered truly and objectively, and the method is suitable for popularization and application. The application of satellite remote sensing in the fields of sports facility monitoring and supervision is expanded.

The present invention relates to the technical field of pipeline wear detection, and specifically discloses an automatic detection terminal and device and method for densely arranged thin pipeline wear, including a guide structure, a probe body, a probe base, a connecting flange, a remote auxiliary imaging device, a main imaging device, a near-end auxiliary imaging device, a first laser positioning device and a second laser positioning device; the guide structure is connected to the remote end of the probe body; one end of the probe base is connected to the near-end of the probe body, and the other end is connected to the connecting flange; the remote auxiliary imaging device and the near-end auxiliary imaging device are arranged oppositely, and are used to collect the notch contour of the pipeline wear area; the first laser positioning device and the second laser positioning device are used to measure the relative posture of the pipeline and the detection terminal; the main imaging device is used to provide visual information for the remote operation automatic detection terminal. The present invention achieves the goal of performing pipeline wear detection tasks in an inaccessible or dangerous environment, while improving detection efficiency and reducing personnel workload.

The invention belongs to the technical field of foreground prediction and scientific research of sandstone type uranium ores in basins, and particularly relates to a method for remodeling a screen-type metallogenic time sequence of sandstone type uranium ores in basins, which comprises the following steps: step (1), utilizing tectonic low-temperature thermal chronology or stratigraphic back-stripping inversion to recover the rise and fall history of ore-bearing stratums in a basin uranium ore gathering area, so as to obtain a screen-type metallogenic time sequence of the sandstone type uranium ores in the basin; comprehensively dividing a plurality of uranium metallogenic stages; (2) sandstone ore is systematically collected in different industrial uranium mine holes of the selected uranium mine concentration area, and ore microelement and Ra analysis is carried out; (3) carrying out U-Ra balance correction total rock U-Pb isotope dating on the same-pore sandstone uranium ore, and obtaining key metallogenic time points of different stages; (4) carrying out uranium occurrence form research on the sandstone uranium ore sample with high uranium content; (5) carrying out micro-area in-situ U-Pb isotope dating on the delineated uranium ore; and (6) according to the comprehensively divided data results of the multiple uranium metallogenic stages, the key metallogenic time points of the different stages and the micro-area in-situ U-Pb isotope dating, reconstructing the sandstone curtain type uranium metallogenic time sequence. According to the method, the multi-stage uranium metallogenic process in the open system can be effectively divided, and the success rate of obtaining the multi-stage key metallogenic age and the geological reliability of the multi-stage key metallogenic age are improved.

The application discloses a kind of for semi-automatic generation method and system of safety and anti-seismic identification report of existing building.Method includes: extracting structural parameters from drawing by AI semantic understanding and regular check;Through mobile terminal, field data is input;Drawing parameters and field data are fused into intermediate data object;Based on SQLite specification library, applicable identification specification is automatically matched;Safety rating (Au~Du) and anti-seismic identification (first level structure check + second level bearing capacity checking) are executed;Finally, the results are automatically filled into Word template to generate complete identification report.The application is aimed at the special needs of existing building identification, integrates drawing intelligent extraction, mobile terminal edge detection and edge recording, specification intelligent matching, safety rating and anti-seismic identification and other modules, significantly improves the efficiency and standardization of identification report preparation, reduces the dependence on technical personnel experience, and is suitable for large-scale identification of existing buildings in urban renewal.

This invention discloses a method for testing the strength of engineering plastics. It addresses the problem of over-reliance on operator subjective experience and inconsistent judgment standards in determining the ultimate force of engineering plastics. This invention quantifies the difference between bending force and inversion stress, sets a standardized error threshold, and accurately determines whether the two sets of force values ​​exhibit an arithmetic progression. This objectively distinguishes between valid and abnormal detections from a data perspective. For abnormal detections, a retest signal can be directly generated to quickly locate problems such as loose clamping or excessive force loss, reducing invalid detections. For normal test data, a progressive logic of difference range prediction and inversion stress range verification accurately pinpoints the ultimate force of the engineering plastic, clearly distinguishing between the normal buffer deformation stage, the stage of buffer elasticity depletion and synchronous change, and the critical fracture large bending stage.

The invention relates to the technical field of semi-automatic control and machine vision detection, in particular to a tooth sheet heat dissipation shell detection device. The device comprises a roller conveying line used for conveying products, a detection station is arranged on a product conveying path of the roller conveying line, a feeding station and a discharging station are arranged on the two sides, away from the roller conveying line, of the top of the roller conveying line respectively, the feeding station is located at the front end of the product conveying path of the roller conveying line, and the discharging station is located at the rear end of the product conveying path of the roller conveying line. The discharging station is located at the rear end of a product conveying path of the roller conveying line. According to the detection device for the tooth sheet heat dissipation shell, tiny defects and changes can be captured through the arranged detection station by utilizing a high-resolution camera and an image processing algorithm, and the detection precision of the detection device is far higher than that of manual detection; according to the detection device for the tooth sheet heat dissipation shell, detection of a large number of products can be completed in a short time through the arranged detection station, the detection efficiency is remarkably improved, and the detection time cost is reduced.

The invention provides a trap and pre-exploratory well optimization sorting method and device, and belongs to the technical field of oil exploration, and the method comprises the steps: obtaining first data of a to-be-optimized trap; based on the first data, performing first optimization on the first data of the to-be-optimized trap by adopting a preset optimization method, and determining the trap meeting a first preset standard as a target trap to be optimized by the pre-exploratory well; acquiring second data of the target trap; according to the second data, performing second optimization on the target trap by adopting a preset optimization method to obtain a pre-exploratory well optimization result; and sorting the pre-exploratory well optimization results to obtain a pre-exploratory well optimization sorting result. The device comprises a first data acquisition module, a trap optimization module, a second data acquisition module, a pre-exploratory well optimization module and a pre-exploratory well sorting module. According to the method, evaluation and optimal sorting of traps and pre-exploratory wells in different regions and fields according to a unified standard are realized, and the result is more objective.

The invention discloses a method for automatically and quantitatively estimating a forest vertical structure by an airborne laser radar, and the method comprises the steps: determining a plurality of voxels based on the unmanned plane laser radar point cloud data of a forest object; based on each voxel, determining a penetration index profile feature map; determining the plant area index of each height layer of the forest object on the basis of taking the penetration index profile feature map as the input of a Beer law inversion model; and determining a vertical structure of the forest object based on the plant area index of each height layer of the forest object. According to the method, the laser echo penetration principle is utilized, the plant area index of each height layer of the forest object is directly inverted through the Beer law inversion model, a layering rule does not need to be manually set, the result is more objective and consistent, the applicability is higher, the efficiency is higher, and the method can be widely applied to actual tasks such as structure investigation and ecological monitoring of multiple types of forest resources.

The present invention discloses a multi-level video risk mining method, device and medium, including: obtaining video data, environmental data and comment data; extracting key frames in the video data and performing risk detection to obtain detection information of each key frame; obtaining user characteristics, and cleaning each key frame according to user characteristics, environmental data and detection information to obtain key frames in a standardized format; pre-configuring risk identification rules; matching key frames in a standardized format with risk identification rules, and counting violations according to matching results; determining whether a hit is found according to the violation counting result, and performing corresponding disposal on the hit video data; and reviewing the video data through the comment data; and marking and grading the video data according to the disposal and review results. The present invention can improve the quality of risk mining.

The present invention discloses a fully automatic screening method for coagulation factor VIII inhibitors. The FVIII inhibitor screening method of the present method is fully automated, simple, fast and accurate. Unlike the traditional manual method which is cumbersome and time-consuming, the present method can directly load the centrifuged specimen onto the machine, and the detection time is short, the results are more objective, the repeatability is stronger, the quality control is easier, and the influence of non-objective factors can be more effectively eliminated.

The invention discloses an industrial package explosive production data automatic acquisition, analysis and tracing method, and the method specifically comprises the following steps: S1, the industrial package explosive production data is automatically acquired, and the production data comprises process data and personnel data; s2, generating a two-dimensional code according to the industrial packaging explosive production data, printing the two-dimensional code at a carton sealing opening of the packaging explosive, completing warehouse-out scanning, and recording the warehouse-out quantity; and S3, calculating the explosive cost according to the industrial packaging explosive production data and the ex-warehouse quantity.

The present invention relates to a method for constructing a characteristic spectrum of a Piper longum sample and a detection method. The present invention adopts ultra-high performance liquid chromatography and reasonably controls the chromatographic conditions to find out ultra-high performance liquid chromatography conditions that are simultaneously applicable to Piper longum medicinal materials, decoction pieces, water extracts, and standard decoctions and formula granules thereof, thereby constructing a characteristic spectrum of the Piper longum sample. The characteristic spectrum of the present invention contains 10 characteristic peaks, which enables the quality control of Piper longum to rise from the original content determination of a single component or the determination of a few common peaks to the overall control of the intrinsic quality of the Piper longum sample, providing an effective method for the quality detection of Piper longum and its modern preparations.

This invention relates to a method for confirming the virtual center position of an ultra-precision machine tool based on straight groove cutting. The workpiece and a diamond turning tool are fixed on the C-axis and B-axis of the ultra-precision machine tool, respectively. The workpiece is turned to eliminate Z-axis tool setting errors. After tool setting is completed using a tool setter, the initial virtual center position is recorded, and the diamond turning tool is controlled to plan the first straight groove. The virtual center function is activated, and the B-axis is rotated by an angle α, controlling the diamond turning tool to plan the second straight groove. Then, the B-axis rotation angle is adjusted to -2α, controlling the diamond turning tool to plan the third straight groove. The depth of the three straight grooves is measured along the Z-axis and recorded. The angle θ between the initial virtual center, the actual virtual center, and the B-axis rotation center, as well as the distance L' from the actual virtual center to the B-axis rotation center, are calculated to confirm the position of the actual virtual center. When machining complex feature structures, this invention can greatly improve the efficiency of toolpath programming, effectively reduce machining path deviations, and improve the surface quality of ultra-precision machining.

The invention discloses an electromagnetic relay multi-target parameter optimization design method considering performance index and quality consistency at the same time. The method comprises the following steps: step 1, randomly sampling to determine a decision parameter combination sample; step 2, calculating a parameter combination sample suction by a finite element simulation method; step 3, establishing a multi-model stacked suction rapid calculation model; step 4, uniformly sampling and calculating a suction standard deviation by introducing a normal distribution weight; step 5, objective function establishment and optimization problem dimensionality reduction; and step 6, Pareto optimal solution set solving and optimal parameter combination screening are carried out. Different from other parameter optimization methods, the method has the advantages that a rapid suction calculation model is established, constraint conditions during actual engineering application are considered, optimal parameter combinations are really approached, suction fluctuation is reduced, suction mean values are optimized, and the method is good in overall optimization effect, objective in result and low in time and labor cost.