14results about How to "Reliable assessment" patented technology

The invention relates to the technical field of CO2 burying and storing amount calculation, in particular to an exhausted condensate gas reservoir CO2 structure burying and storing amount calculation method and device, electronic equipment, a storage medium and a computer product. The method comprises the following steps: constructing a depleted condensate gas reservoir CO2 buried substance balance equation; deducing the depleted condensate gas reservoir CO2 burying material balance equation, and constructing a depleted condensate gas reservoir CO2 structure burying amount calculation model; based on the depleted condensate gas reservoir CO2 structure burying stock calculation model, the depleted condensate gas reservoir CO2 structure burying stock is obtained. According to the method, the change of a mixed gas deviation factor after CO2 injection, the change of the saturation degree of residual stratum condensate oil in the CO2 injection process and the influence of deformation of rocks and bound water are considered. The calculation result of an example shows that the CO2 structure burying amount under different burying pressures in the new method is basically matched with the calculation result of a numerical simulation method, and the error is kept within 6.42%.

The invention discloses an integrated sediment methanogenesis anaerobic culture bottle, and relates to the field of microorganism culture and detection.The integrated sediment methanogenesis anaerobic culture bottle comprises a bottle body and an integrated bottle cap assembly, the integrated bottle cap assembly comprises a main cap body, a barometer, an integrated guide pipe and a sampling one-way valve, the main cap body is in sealed connection with a bottle opening of the bottle body, and the integrated guide pipe is connected with the sampling one-way valve; the barometer is installed on the main cover body, a pressure sensing probe of the barometer is communicated with a headspace in a bottle, one end of the integrated guide pipe is communicated with the headspace in the bottle, and the other end of the integrated guide pipe penetrates through the main cover body to be connected with the sampling one-way valve. The integrated sediment methanogenesis anaerobic culture bottle provided by the invention has the functions of air pressure monitoring, lossless gas taking and convenient sampling, and the accuracy, convenience and data output quality of a sediment methanogenesis long-term culture experiment are remarkably improved.

This invention discloses a method and apparatus for accurate bridge damage identification and location based on multi-source data fusion. The method includes: performing spatiotemporal registration and data fusion on the time-series data of the bridge's global planar deformation obtained by ground-based synthetic aperture radar and the time-series data of the bridge's point-like three-dimensional deformation obtained by the BeiDou satellite navigation system to obtain a fused deformation field of the entire bridge area; calculating multiple damage characteristic indicators reflecting different deformation physical mechanisms of the bridge based on the fused deformation field, and determining the corresponding preliminary damage level based on the damage judgment threshold of each damage characteristic indicator; using the preliminary damage levels of each damage characteristic indicator as independent evidence sources, performing evidence fusion to resolve indicator conflicts, and determining the bridge damage location and damage level based on the fusion result. This method can effectively improve the accuracy and reliability of bridge damage identification and location, providing a scientific basis for bridge operation and maintenance decisions.

The invention discloses a power distribution network system bearing capacity evaluation method and device, a medium and equipment, and the method comprises the steps: calculating first index values of a plurality of evaluation indexes at the same sampling moment based on a target access scheme of a to-be-accessed new energy system in a target power distribution network system; based on the first index value of each evaluation index, performing fuzzy judgment on the importance degree of any two evaluation indexes, and determining a target subjective weight of each evaluation index; for the evaluation dimension to which each evaluation index belongs, performing fuzzy judgment on the importance degree of any two evaluation dimensions, and determining a target subjective weight of each evaluation dimension; and determining a score of the target access scheme at least based on the target subjective weight of each evaluation index, the target subjective weight of the evaluation dimension to which each evaluation index belongs and the first index value of each evaluation index, so as to obtain an evaluation result of the bearing capacity of the target power distribution network system. According to the invention, the bearing capacity of the power distribution network system can be accurately evaluated.

This invention provides a method and apparatus for evaluating software bill of materials (SBOM) generation tools, relating to the field of computer technology. The method includes: inputting a pre-selected target software project into a SBOM generation tool to be tested, obtaining an original SBOM file output by the tool; performing standardized parsing on the original SBOM file to obtain a corresponding standard SBOM file; performing multi-dimensional evaluation on the standard SBOM file to obtain an evaluation score; the evaluation score includes a field compliance score, a package-level consistency score, and a field-level consistency score; and obtaining an evaluation result for the SBOM generation tool based on the evaluation score. The software bill of materials (SBOM) generation tool evaluation method provided by this invention, by integrating multi-dimensional scores to generate a final evaluation result, achieves an accurate and reliable evaluation of the SBOM generation tool.

The utility model discloses an air flotation test device for solid-liquid separation of biogas slurry, which relates to the technical field of anaerobic fermentation product treatment and comprises an air flotation tank, a water collecting tank, a residue collecting tank, a residue scraping mechanism, a reflux pump, a bubble machine and a bubble water releaser, the water collecting tank is communicated with the air flotation tank, and the water collecting tank can receive residue-removed biogas slurry in the air flotation tank; the bubble water releaser is fixedly arranged in the treated biogas slurry in the air flotation tank and can fill bubble water into the treated biogas slurry, a liquid inlet of the reflux pump is communicated with the water collecting tank, a liquid outlet of the reflux pump is communicated with a liquid inlet of the bubble machine, a liquid outlet of the bubble machine is communicated with the bubble water releaser, and the bubble water releaser is communicated with the water collecting tank. The slag collecting tank is fixedly arranged at the top of the inner side wall of the air floatation tank, the slag scraping mechanism is arranged above the air floatation tank, and the slag scraping mechanism can scrape biogas residues on the liquid level of treated biogas slurry in the air floatation tank into the slag collecting tank; according to the utility model, reliable evaluation and pre-estimation can be provided for the actual removal effect of the biogas residue in the biogas slurry doped with the biogas residue by the air flotation equipment.

The application provides a multifunctional testing device for simulating a real use scene of a paper diaper, and relates to the technical field of paper diaper performance detection. The multifunctional testing device comprises a base, a large arm connected to the base, a first rotating component arranged on the large arm, a small arm rotatably connected to the large arm through the first rotating component, a turning flange connected to the small arm, a second rotating component arranged on the turning flange, a baby posture simulation model connected to the output end of the second rotating component, a liquid simulation unit in communication with the baby posture simulation model through a liquid pipeline, a temperature control unit connected to the liquid simulation unit, a gas simulation unit arranged in the baby posture simulation model and used for outputting gas, a sensing unit arranged on the surface and / or inside of the baby posture simulation model, and a control unit electrically connected to the first rotating component, the second rotating component, the liquid simulation unit, the temperature control unit, the gas simulation unit and the sensing unit respectively.

This invention relates to the field of power equipment technology, and more particularly to an intelligent monitoring method for the operating status of charging cables. The method includes: conducting a torsion test on a sample of the charging cable to obtain its structural stability; determining the distribution of monitoring points to implement a monitoring strategy for the operating parameters of the charging cable; acquiring fluctuations in current, voltage, and resistance at several monitoring points during operation to determine if the fluctuations are abnormal; determining an anomaly index based on the average of several historical fluctuation data that could cause abnormal charging temperatures; determining a temperature monitoring mode for the charging cable based on the anomaly index and establishing a correlation prediction model for the charging cable temperature; adjusting the distribution of monitoring points based on the historical accuracy of the temperature prediction model; and determining an optimization strategy for the temperature monitoring mode based on the changes in the adjusted accuracy. This invention solves the problem of inaccurate temperature monitoring of charging cables.

This invention proposes a continuous learning method and evaluation method to mitigate the double forgetting of visual language models. The method includes: adding two parallel paths to the backbone network of a pre-trained visual language model—one a task-agnostic expert path and the other a task-related expert group path—to obtain a model based on heterogeneous expert hybridization; training the model using a two-stage training strategy, including: a first stage, freezing the task-related expert group path and training only the task-agnostic expert path, using contrastive learning to solidify the pre-trained general knowledge of the visual language model; a second stage, freezing the task-agnostic expert path and training only the task-related expert group path, using a cross-entropy loss function to learn task-specific knowledge; and an inference stage, dynamically fusing the outputs of the two parallel paths through a hierarchical routing mechanism to achieve collaborative learning of pre-trained knowledge and task-specific knowledge.

A numerical simulation analysis method for the swelling and bursting of pressurized water reactor fuel rod cladding, relating to the field of reactor safety analysis technology, includes: obtaining constant parameters of the fuel rod cladding; establishing and meshing a geometric model; assigning physical property values ​​to each element mesh; calculating the temperature distribution of the fuel rod cladding and determining whether a phase transition has occurred; if a phase transition has occurred, calculating the phase transition process of the cladding material; if the phase transition is complete or has not occurred, calculating the creep and plastic behavior of the cladding material; updating the effective stress and effective strain rate of the cladding material, and then calculating the yield stress of each element mesh; determining whether both the effective strain rate and yield stress have reached the corresponding failure thresholds; if neither has reached the threshold, repeating the calculation; if either reaches the failure threshold, performing a dynamic bursting process calculation of the cladding until the pressure inside and outside the cladding is balanced, and simulating the dynamic bursting process of the cladding; this method addresses the limitations and inaccurate results of traditional bursting analysis.

The application relates to the technical field of medical detection, and particularly discloses a fall prevention control method for inpatients, which comprises the following steps: recording fall risk data of a patient during hospitalization, and lower limb muscle strength data and motor nerve conduction velocity data in daily examination through a data recording module; the compensation of nerve signal transmission delay is realized by correcting the lower limb muscle strength data of the patient in daily examination during hospitalization, so that the corrected lower limb muscle strength data is closer to the real situation of the patient; on the basis, the comprehensive fall risk of the patient is quantitatively analyzed based on the corrected lower limb muscle strength data and the fall risk data of the patient during hospitalization, the risk assessment based on high-quality data is realized, the reliability of the fall risk assessment result of the patient is improved, and reliable data support is provided for subsequent formulation of the fall prevention control method.

This invention discloses a low-cycle fatigue life prediction method applicable to thin-walled complex structures, comprising the following steps: Characteristic simulation component design: Based on the critical distance theory and the stress gradient equivalence principle, a characteristic simulation component with stress distribution equivalent to that of a real thin-walled complex structure is designed; Material constitutive model and fatigue life equation construction: Based on strain-controlled test data of standard smooth specimens, the cyclic stress-strain curve, strain life equation, and SWT life equation of the material are established; Stress-controlled fatigue test of the characteristic simulation component; L-N curve calibration; Life prediction model construction; Model verification and application. This invention, through the technical route of "equivalent substitution of characteristic simulation components + stress-controlled testing + material constitutive data," effectively solves the core technical problems of high cost of existing fatigue tests for thin-walled complex structures, the inability to implement strain-controlled testing, and the difficulty in quantifying stress gradient effects, achieving low-cost and high-precision life assessment.

The invention discloses a multi-sight-distance deep learning track line detection method based on global features, and the method comprises the steps: 1, installing a far-focus camera and a near-focus camera at the head or side surface of a train, obtaining track line images in different scenes in the train operation process, and constructing a data set; 2, in image preprocessing, a Sobel operator is used for calculating gradient energy to generate a focusing degree image, a decision diagram is generated through multi-scale morphological optimization operation, and smooth transition of fused image boundaries is achieved through Gaussian weighted fusion; step 3, constructing an improved ResNet18 backbone network, fusing multi-scale features, combining row selection and structure perception loss, and performing Adam optimization training; and 4, real-time track line detection is carried out. According to the invention, through multi-sight-distance image fusion and global feature extraction, technical support is provided for realizing high-precision and real-time detection of a train track line, automatic train driving, track state monitoring and other key tasks.

A monitoring system for a food preparation system includes a sensor unit having at least one sensor for determining current sensor data of food being loaded or unloaded to or from a food processing chamber of the food preparation system; the processing unit is used for determining current feature data according to the current sensor data; the classification unit is used for determining characteristic data of food in the food processing chamber according to the current characteristic data; and a control unit for controlling at least one actuator adapted to notify or alert a user or to set operating parameters of the food preparation system based on the determined characteristic data of the food present within the food processing chamber.