13results about How to "Realize verification" patented technology

This invention provides an automated assembly and tightening device for shaft-end nuts that is easy to verify, belonging to the field of industrial manufacturing technology. This invention achieves full automation of the nut assembly process by integrating components such as a base, conveying mechanism, nut supply device, assembly robotic arm, tightening mechanism, and verification system. Its core lies in employing a two-stage tightening control strategy, dividing the tightening process into preliminary tightening and reinforcement tightening stages. In the preliminary tightening stage, a low-speed, high-precision mode and dynamic damping control ensure correct thread engagement. The intermediate verification stage measures axial displacement values ​​to promptly detect anomalies. In the reinforcement tightening stage, a stepped torque-increasing algorithm ensures uniform stress distribution. Finally, multi-parameter comprehensive verification evaluates the tightening quality and generates a traceability code, effectively solving the quality instability problem caused by a single-stage tightening method for shaft-end nuts.

This invention provides a method and system for constructing a negative obstacle risk map, relating to the field of robot environmental perception technology. The method includes: acquiring multimodal sensing data of a legged robot in the current operating environment to obtain the types of negative obstacles, multiple candidate regions, and the corresponding confidence and uncertainty of each candidate region; using a risk diffusion algorithm, performing ink blurring processing based on the type, confidence, and uncertainty to generate a continuous risk field corresponding to each candidate region; dividing the continuous risk field to generate a continuous risk gradient distribution corresponding to each candidate region; performing terrain modeling based on laser point clouds, updating the continuous risk gradient distribution using Bayesian fusion to obtain a multi-level grid map, and then performing tactile closed-loop correction on the multi-level grid map to generate a risk cost map. This invention improves the accuracy of constructing a negative obstacle risk map.

This application provides a full-system cold flow test system for a liquid rocket pressurization and delivery system. The system includes: a storage tank, a pressurization system, a delivery system, and a water tank. The storage tank contains liquid. The pressurization system is connected to the top of the storage tank and is used to increase the pressure in the storage tank. The delivery system includes a drain pipe and a liquid discharge flow limiting device. The liquid discharge flow limiting device is installed on the drain pipe. One end of the drain pipe is connected to the bottom of the storage tank, and the other end extends into the water tank. The drain pipe is used to deliver the liquid from the storage tank to the water tank. The liquid discharge flow limiting device is used to control the discharge flow rate of the liquid from the storage tank. This application comprehensively simulates a full-system cold flow test without engine ignition, improving the realism and reliability of the test.

This application relates to a time compensation method, a battery management system, a vehicle, a server, and a service system. It includes: obtaining a temperature difference threshold relationship, which includes the correspondence between temperature difference ranges and temperature thresholds; compensating for the battery's static dormancy time based on the temperature difference threshold relationship; where the temperature difference range characterizes the degree to which the battery's temperature deviated from a reference temperature during the previous power-off, and the temperature threshold characterizes the amount of temperature change corresponding to the duration of static dormancy during the power-off to power-on period within the corresponding temperature difference range. This method can compensate for the battery's static dormancy time in the event of an RTC failure, thereby enabling the BMS's functions such as SOC static correction, SOH online calculation, and static equalization calculation to operate normally.

The application provides a centering driving verification method and system, electronic equipment and storage medium. The centering driving verification method comprises the following steps: acquiring driving track information, vehicle speed information and a current road image of a lane where a vehicle to be controlled is located; extracting left and right lane line feature points in the current road image; performing curve fitting on the left and right lane line feature points respectively to obtain left and right lane line equations; performing curve fitting based on the driving track information to obtain a driving track equation; determining a track relative deviation amount, a position relative deviation amount and a heading relative deviation amount according to the left and right lane line equations, the driving track equation and the vehicle speed information; and performing centering driving verification based on the track relative deviation amount, the position relative deviation amount and the heading relative deviation amount.

The application relates to the technical field of intelligent decision-making, and discloses a text detection method, a text detection device, equipment and a medium: a to-be-detected text is acquired, multi-modal analysis is performed on the to-be-detected text, and a multi-modal text fingerprint is obtained; when a text verification result of the to-be-detected text represents that all text verifications pass, a text semantic version graph is acquired; text matching is performed on the multi-modal text fingerprint and historical text fingerprints in the text semantic version graph, and a target detection text is obtained; a difference between the to-be-detected text and the target detection text is determined as a semantic difference, and when the semantic difference is key field information and a state of the target detection text is completed, the to-be-detected text is determined as a risk text. The application is applied to a financial scene. Through the multi-modal text fingerprint and the text semantic version graph, subtle information in the to-be-detected text and overall text fingerprint detection are realized, and the accuracy and reliability of risk text detection are improved.

This invention relates to an apparatus and method for the efficient capture of iodine-containing exhaust gas, comprising a tower system, a gas supply system, an absorbent system, an exhaust gas detection system, and a control system. Iodine-containing exhaust gas enters from the bottom of the tower system via the gas supply system and flows upward within the tower. The absorbent system enters from the top of the tower system via a nozzle and flows downward. The two gases come into countercurrent contact within the tower. Sodium hydroxide in the absorbent reacts with iodine in the exhaust gas to form iodide, thus converting iodine from the gas phase to the liquid phase, achieving iodine absorption and capture. After absorption and capture, the exhaust gas passes through a demisting section to capture entrained droplets before being discharged from the top of the tower system. The exhaust gas detection system measures the concentration of iodine in the exhaust gas. This method enables efficient gas-liquid contact and mass transfer, and achieves constant-temperature circulation and composition control of the alkaline solution. Through optimized tower structure and control system, it achieves stable and efficient capture of iodine from iodine-containing exhaust gas, possessing good potential for scientific research verification and engineering scale-up.

This application relates to the field of intelligent transportation technology, and in particular to a traffic event verification and adaptive optimization system based on a large-scale model. The system includes: a video preprocessing module for image enhancement processing of the input video stream and generating keyframe data containing scene labels, time information, and location information; a video traffic event detection model module for detecting traffic events on the keyframe data and outputting preliminary detection results containing event type, event region, confidence level, time information, and location information; and a large-scale view model verification module for performing semantic analysis on the keyframe data and the preliminary detection results based on a pre-trained large-scale view model and outputting verification results. This application enables efficient collaboration between traffic event detection and verification, and improves the model's continuous adaptability in complex scenarios and dynamically changing environments through an adaptive optimization mechanism, thereby improving verification accuracy and reducing false positive and false negative rates.

This invention belongs to the field of molecular biology detection technology, and provides a primer composition, gDNA, probe, and method for detecting amino acid mutation sites in ALS of Amaranthus retroflexus. This invention is the first to construct a method for detecting multiple resistance mutations at multiple sites based on the synergistic effect of multiplex PCR and PfAgo. Through multiplex PCR amplification and PfAgo specific recognition and cleavage, it achieves simultaneous detection and mutation type identification of multiple resistance target sites in the ALS gene of Amaranthus retroflexus. Based on the multiple constraint mechanism of multiplex PCR amplification, PfAgo guided sequence recognition, and fluorescent probe cleavage, it achieves stepwise identification and verification of target sites, exhibiting excellent specificity, sensitivity, and robustness, reducing the risk of false positives, ensuring accurate and reliable results, and requiring no standards for interpretation. It is suitable for rapid and simultaneous multi-site detection of resistance to ALS inhibitors in Amaranthus retroflexus in the field, is simple to operate, and has low cost, providing technical support for resistance monitoring and precision herbicide management.

The application provides a kind of verification equipment and verification method for MEMS sensor, it is related to MEMS sensor verification equipment technical field.Verification equipment includes shell, test mechanism, driving mechanism and signal output unit, the sealed cavity is formed in the inside of shell, test mechanism is located in sealed cavity and includes center axis and multiple two two opposite connecting arms, the inside of each connecting arm is formed with gas pipeline, gas pipeline is configured to controllably pass into gas, one end of each connecting arm is connected with center axis, the other end is equipped with test seat, test seat is used to install MEMS sensor, driving mechanism is connected to the center axis of test mechanism, driving mechanism is set to drive all connecting arms of test mechanism to rotate around center axis by preset angle, signal output unit is connected with the MEMS sensor currently connected on test seat and is used to output the detection signal of MEMS sensor.The verification equipment of the application can realize the verification of multiple types of MEMS sensors by controlling different verification conditions, and the structure is simple, the cost is lower.

The application relates to the technical field of bridge structure health, in particular to a cable-stayed bridge cable force intelligent monitoring method and system based on multi-modal data fusion, which comprises the following steps: acquiring gray-scale images and strain data of each cable of a cable-stayed bridge at each moment in each monitoring period; extracting the cable skeleton in the gray-scale images; calculating the linear deviation and stress unevenness of each cable in each monitoring period to obtain the first evaluation value of each cable in each monitoring period; calculating the nonlinear strength and energy migration degree of each cable in each monitoring period to determine the second evaluation value of each cable in each monitoring period; and determining the abnormal coefficient of each cable in each monitoring period to perform abnormal evaluation on the cable force state of the cable of the cable-stayed bridge. The application realizes complementation and verification of multi-source information at a higher level, improves the accuracy of cable force abnormal monitoring of the cable-stayed bridge, and effectively guarantees the safe operation of the cable-stayed bridge.

This invention relates to the field of quantitative trading technology and provides a method and system for intelligent risk management in quantitative trading. The invention involves monitoring the trading environment in conjunction with other systems, acquiring manually input reference trading data when there are no risks, acquiring historical trading data and automatically generated quantitative trading data, performing profit and risk analysis, calculating the trading overlap rate when expected conditions are met, and determining whether the overlap conditions are satisfied. If the overlap conditions are satisfied, quantitative trading is executed. This system can acquire historical trading data, manually input reference trading data, and automatically generated quantitative trading data, perform profit and risk analysis, calculate the trading overlap rate when expected conditions are met, and then execute quantitative trading when the overlap conditions are satisfied. This ensures the security, compliance, and efficiency of quantitative trading while preventing the results from deviating significantly from the user's expectations, thus ensuring the stability of quantitative trading.

A DNA tag for detecting a trace variation is provided, the tag having a sequence selected from at least one of: (1) HHATHHHTCACCHHATHHH; or (2) HHHTAHHTAHHHTAHH, wherein H represents A, T or C.