7results about How to "Fully determined" patented technology

This application provides a robot localization method, a computer program product, and a storage medium. The robot localization method includes: acquiring image data and odometer data of a target cage during robot movement; acquiring coordinate information of feature structures on the target cage from the image data; and determining the robot's localization data based on the coordinate information and the odometer data. This eliminates the need for additional QR code tags, positioning base stations, etc., reducing costs and making the robot less susceptible to interference. Furthermore, by combining the coordinates of feature structures in the image with the odometer data, the robot's position can be comprehensively determined, improving the accuracy of robot localization.

The application relates to the technical field of PCIe devices, and discloses a parameter configuration method and device, a computer device and a storage medium, the method comprising the following steps: setting a plurality of first preset value combinations; configuring preset values of a plurality of PCIe devices according to the first preset value combinations, and performing first testing on the plurality of PCIe devices to obtain first testing results; determining an effective preset value range that can be configured by each PCIe device according to the first testing results; selecting an effective preset value from the effective preset value range corresponding to each PCIe device to form a second preset value combination; configuring preset values of the plurality of PCIe devices according to the second preset value combination, and performing second testing on the plurality of PCIe devices to obtain second testing results; and determining an optimal second preset value combination according to the second testing results corresponding to the plurality of second preset value combinations. The application can determine optimal preset values corresponding to each PCIe device respectively, and can simultaneously ensure the stability of PCIe links of each PCIe device.

The invention discloses a method and a device for determining the size of a leakage point of an oil pipe. The method comprises the steps that pressure change information of an oil pipe of a target gas well and pressure change information of a casing pipe of the oil pipe in a plugging state and a releasing state are obtained respectively, and a target well section containing a leakage point in the oil pipe is determined according to the pressure change information of the oil pipe and the pressure change information of the casing pipe; target pressure states of the oil pipe at a plurality of target positions in the target well section are obtained, and local leakage point sizes corresponding to the leakage points in the oil pipe at the target positions are determined according to the target pressure states; and determining the target leakage point size corresponding to the leakage point in the oil pipe according to the local leakage point sizes determined at the plurality of target positions, thereby comprehensively and accurately evaluating the severity and the distribution condition of the leakage point, improving the reliability and the precision of leakage point detection, optimizing the maintenance scheme, reducing the maintenance cost, and improving the detection efficiency. And safe and efficient operation of the oil-gas well is ensured.

The application discloses a kind of fracture conductivity determination method and device, it is related to oil and gas field development technical field, main purpose is to improve the efficiency and accuracy of fracture conductivity determination method.The main technical scheme of the present application is: obtaining the fracture conductivity database of target work area;According to the fracture conductivity database of target work area, obtain the basic architecture of fracture conductivity neural network;Determine neural network weight and threshold training method based on preset training accuracy;Based on the basic architecture of fracture conductivity neural network, the preset training accuracy and the neural network weight and threshold training method, adjust neural network training method and carry out neural network training, obtain neural network model;According to the neural network model, determine the fracture conductivity of target work area.The present application is mainly used for efficiently and accurately determining fracture conductivity, and then provides reliable fracture conductivity parameters for hydraulic fracturing reconstruction, design.

The application relates to the technical field of document query assistance, in particular to a structured XML standard document intelligent query assistance system based on a large model, which comprises a data receiving module, a document comparison module, a data division module, a data analysis module, a text generation module, a data statistics module and a data processing module, whether the processing of each document is qualified is determined based on a click probability, when it is determined that the processing of each document is abnormal, a preset reference quantity is adjusted to a corresponding value, whether the operation of the document generation module is qualified is determined based on the average push quantity of the average single output push document of the text generation module, when it is determined that the operation of the document generation module is abnormal, a preset category quantity used for dividing the relevance of single batch documents is adjusted to a corresponding value. The feedback of the user is analyzed, the system is optimized according to the use behavior of the user, and the query efficiency of the document is improved.

The present application relates to oseltamivir phosphate single crystal and its preparation method. The present application selects specific mixed solvent to slowly evaporate to obtain needle-like crystal, which is the first successful preparation of oseltamivir phosphate single crystal in the world. The oseltamivir phosphate single crystal prepared by the present application has the chemical formula of C 16 H 31 N2O8P, a molecular weight of 410.40, and a crystal structure belonging to orthorhombic system, a space group of P21212, a=23.9002(6)Å, b=24.4812(6)Å, c=7.4191(2)Å, α=90°, β=90°, γ=90°, V=4340.96(19)Å 3 , Z=8. The preparation and determination of the single crystal have important significance and application value for the structure-activity relationship study of oseltamivir phosphate drug and new drug development.

The invention relates to a battery life prediction method and device and a vehicle, and the method comprises the steps: obtaining the charging and discharging information and battery parameter information of a target battery of a target vehicle in each preset period in a preset time period, and obtaining the vehicle operation rate of the target vehicle in the preset period, and according to the charging and discharging information, the battery parameter information and the vehicle operation rate, a battery life prediction result corresponding to the target battery is obtained through a pre-trained battery life prediction model. In this way, the active life influence factor of the battery when the vehicle runs and the passive life influence factor of the vehicle in the non-running state can be comprehensively considered, and the determination of the battery life influence factor is more comprehensive. Meanwhile, the battery life prediction model is adopted to predict the battery life, the influence condition of different battery parameters on the battery life can be accurately determined, and the reliability and accuracy of battery life prediction are improved.