9results about How to "Accuracy" patented technology

This invention provides a method and apparatus for vehicle-mounted audio zone noise reduction, relating to the field of vehicle control technology. The method includes: when any target occupant among multiple occupants in a vehicle is in a call state, determining the target seat area where the target occupant is located from multiple seat areas in the vehicle; determining an acoustic control area based on the target seat area; when there is playback content in the acoustic control area, reducing the playback volume of the playback device in the acoustic control area; and when it is detected that the target occupant's call has ended, restoring the playback volume of the playback device in the acoustic control area to its original volume.

This invention relates to the fields of computer vision and civil engineering monitoring technology. It discloses a machine vision-based method for detecting concrete defects in high-speed railway bridge piers, comprising: calculating a global threshold and a local threshold based on a second image; weighting the global and local thresholds to obtain a mixed threshold; and segmenting the second image according to the mixed threshold to obtain a defect image. This invention, through binarization preprocessing of the image and combined with the Faster R-CNN algorithm, can accurately extract concrete defect features of high-speed railway bridge piers, significantly reducing computational resource consumption. Simultaneously, a weighted risk scoring method is designed to effectively assess the degree of concrete defects, ensuring high-precision assessment results. Furthermore, this invention innovatively designs an early warning system that can issue timely warnings when the detected defect degree reaches a certain threshold, avoiding potential safety risks.

The utility model discloses a novel ton bag, which comprises a bag body for containing materials, a hoisting fixing structure sewn on the outside of the bag body for hoisting and fixing the bag body, a top connecting component installed on the top of the bag body, and a bottom connecting component installed on the bottom of the bag body for connecting the inside and outside of the bag body.

The application provides a kind of fast recovery diode operating reliability test method and system, it is related to circuit test technical field, the method comprises: fast recovery diode is set on experiment table, setting test environment parameter, and setting the frequency data of test power supply;Further setting test power supply, and the test voltage data of test resistance both ends is acquired, further determines reliability variation index, and determines reliability test result according to the reliability variation index of multiple test periods.According to the application, the test authenticity and accuracy can be improved by simulating complex working conditions through periodically changing test environment parameters, and the reference value of test results can be improved.Based on the dynamic adjustment of test environment, the workload of fast recovery diode is improved, and the test accuracy is improved.The reliability variation index of each test period can also be calculated to accurately know the performance change and reliability decline range of fast recovery diode, which provides an important basis for determining the reliability of fast recovery diode.

This invention relates to the field of electrolytic oxidation technology, and in particular to an online monitoring system for electrolytic coloring. It includes: a power calculation module, a power supply module, an electrolytic cell, a stirrer, a heat exchanger, and a cooling device. The power calculation module is connected to the power supply module, the power supply module is connected to the electrolytic cell, the electrolytic cell is connected to the heat exchanger, and the heat exchanger is connected to the cooling device. An electrolyte is provided inside the electrolytic cell, and the stirrer is located inside the electrolytic cell. A monitoring unit is used to detect the surface area of ​​the workpiece being processed and the parameters of the electrolyte in real time. A control unit is used to control the output current of the power supply module based on the surface area of ​​the workpiece. This invention, through dynamic real-time monitoring of the metal electrolytic coloring process, fully ensures the production quality of the electrolyte and the workpiece. Furthermore, by monitoring relevant parameters during the production process and automatically adjusting them, it prevents local defects in the finished workpiece and improves the processing quality.

The application discloses a kind of calculation methods of X-ray intensity distribution in power cable, first using multi-frequency X-ray machine to five kinds of power cable materials of copper, aluminum, XLPE, silicone rubber and semiconductive layer, record initial X-ray dose rate and dose rate after penetration;Second, the transmittance of different materials through different thickness, average attenuation coefficient and each section average attenuation coefficient are calculated by X-ray attenuation formula, and the fitting formula is obtained;By comparing the results of traditional method with the results of the application calculation method, it can be found that when using traditional attenuation coefficient calculation, due to lack of measurement of X-ray attenuation coefficient of multi-frequency X-ray source transmission material and consideration of multiple hardening phenomenon occurred when cable material is irradiated by X-ray, larger error can be caused.It can be confirmed that the calculation method of this experiment is more accurate than traditional method.

This invention relates to a health monitoring device and method for weld seams in metal structures of metallurgical cranes, belonging to the field of metallurgical crane operation and maintenance technology. It includes a detection upper cover, a detection interlocking plate, and a detection lower cover. Detection components are provided on the top surface of the upper cover and the bottom surface of the lower cover. Each detection component includes a probe sleeve and a probe upper cover fixedly mounted on the inner wall of the probe sleeve by bolts. An electromagnetic ultrasonic monitoring probe is fixedly installed on the inner wall of the probe upper cover. A telescopic groove is formed on the side of the probe sleeve near the detection interlocking plate, and a connecting ring cylinder is slidably installed on the inner wall of the telescopic groove. This invention addresses the shortcomings of existing technologies in the health monitoring of weld seam areas in metal structures of metallurgical cranes by combining an electromagnetic ultrasonic probe with a simulated sample that simulates the damage state of the weld seam area being monitored. The simulated sample has the same temperature and stress state as the weld seam being monitored, increasing the detection accuracy of the device.

This invention discloses a fault diagnosis system for rotating equipment based on a large language model, aiming to improve the accuracy and efficiency of fault diagnosis for industrial rotating equipment. The system consists of six parts: data collection, data preprocessing, a neural network model, a time-series label knowledge base, a large language model, and a user unit. The system can not only detect faults in real time but also enable interaction through the user unit, allowing for analysis and prediction of the rotating equipment's operating status based on user needs. The system optimizes input through data preprocessing techniques and enhances the large language model using a time-series label knowledge base. Based on this, and combining equipment operating data, historical records, and neural network diagnostic results, the large language model can accurately identify potential faults and generate actionable maintenance suggestions, thereby significantly improving equipment reliability and the safety of industrial production.

This invention provides a method and system for predicting the efficiency of biochemical treatment based on the dynamic evolution of water quality fingerprints. The method includes: collecting spectral data at the inlet of a wastewater treatment system and extracting water quality fingerprint feature vectors to construct a time-series dataset reflecting dynamic changes in water quality; simultaneously collecting effluent efficiency index data and establishing a time correspondence between the data and the water quality fingerprints to form structured training data; using deep learning models such as LSTM or Transformer to learn from the training data, constructing a mapping relationship from water quality fingerprints to future efficiency indicators, and achieving accurate prediction of biochemical treatment efficiency; generating early warning information based on the prediction results and dynamically adjusted graded early warning thresholds, and formulating optimized process control schemes by combining an expert knowledge base and an experience-based learning model. This invention breaks through the traditional passive management model that relies on delayed monitoring, achieving early warning and proactive prevention of potential risks in wastewater treatment systems, effectively improving treatment efficiency and reducing energy consumption and operating costs.