6results about How to "Performance optimization and improvement" patented technology

The application discloses a three-dimensional detection and diagnosis simulation verification method and platform for tunnel apparent diseases and a storage medium. The method comprises the following steps: collecting point cloud data and image data of a tunnel model, performing difference analysis based on the two types of data to obtain an apparent detection result, and positioning a suspicious disease area of the tunnel model according to the apparent detection result. A machine learning model is used to analyze a disease diagnosis result corresponding to the suspicious disease area, and the disease diagnosis result is compared with preset real disease information of the tunnel model, and a comparison result obtained can be used to optimize the machine learning model. The scheme avoids the limitations of real vehicle verification and non-entity verification, and effectively improves the verification effect and verification efficiency of the machine learning model.

The invention discloses a Cu-Fe alloy material with high strength, high conductivity and high heat resistance and a preparation method thereof.The Cu-Fe alloy material is prepared from, by mass, 0.8-3% of Fe, 0.05-0.2% of Mg, 0-0.1% of Si, 0-0.2% of Nb, 0-0.1% of V, 0-0.1% of P and the balance Cu, and meanwhile the total mass percentage of Si, V, P and Nb is smaller than 0.2%. According to the preparation method of the Cu-Fe alloy material, the rapid treatment effect of electric pulses is utilized, a water quenching process is combined, and the high-strength, high-conductivity and high-heat-resistance Cu-Fe alloy material is obtained. And the work-hardened structure state is rapidly fixed, so that the dislocation density and the structure distortion state are reserved, and the Cu-Fe alloy material with high strength, high conductivity and high heat resistance is obtained.

The application relates to a binocular vision-based automatic calibration method for the spatial position of an internal module of an instrument, and comprises the following steps: acquiring the positions of cameras installed in different directions of the instrument; acquiring selected standard objects; under the condition of the same imaging resolution, performing coarse adjustment by using a large field of view, and then performing fine adjustment by reducing the field of view; acquiring a set initial step length; controlling a mechanical arm to move according to the step length; identifying the image boundary and comparing the consistency of pixel positions; judging whether the position deviation of the standard object and a probe is less than a set error limit; if yes, the current position is acquired; otherwise, the step length is updated, and the step of controlling the mechanical arm to move according to the step length is jumped to. The application is applied to the calibration process of a three-dimensional mechanical arm of an instrument, and computer vision technology is used to assist manual operation, so that the calibration process is automatically realized, the calibration steps are simplified, the requirement for an operator is reduced, and the standardization of the calibration process and the calibration result is easy to realize.

The application discloses a terahertz neural synapse memorization device and a preparation method thereof. The terahertz neural synapse memorization device comprises a substrate, an active region formed on the substrate, two electrodes in the form of interdigital electrodes, the two electrodes comprising test parts and finger parts, the test parts of the two electrodes being respectively formed on two sides of the active region, the finger parts being arranged on the active region in a staggered manner at a certain interval, and the interval between adjacent finger parts being controlled at a nanometer level; the two electrodes are respectively used as a presynaptic end and a postsynaptic end of a neural synapse, a high-frequency voltage signal is applied to the presynaptic end as an excitation source of the neural synapse, and a current signal response of the postsynaptic end is collected, so that a terahertz neural morphological calculation function is realized.

The invention belongs to the field of motor protection, and discloses a stator core processing protection device with a winding, which comprises a protection main body embedded in an end cover, the protection main body is of a spliced structure, an accommodating cavity is formed in the center of the protection main body, and a sealing cover plate is mounted in the accommodating cavity; a sealing drainage structure is arranged at the bottom of the protection body and comprises an adapter and a drainage tube, one end of the adapter is connected with the bottom of the containing cavity, and the other end of the adapter is connected with the drainage tube; and the drainage pipe extends between the end cover and the bearing chamber at the lower end so as to guide the cooling liquid out of the product. Through the structural design of the protection body, the magnetic attraction installation accessory, the sealing drainage structure and the like, scrap iron, grinding dust and cooling liquid can be effectively prevented from entering the winding in the stator iron core machining process, and the machining quality and later operation safety are ensured. Meanwhile, the device has the advantages of being convenient to mount and dismount, and the tool utilization rate and the production efficiency can be remarkably improved.

The invention relates to the technical field of network security, in particular to a vulnerability scanner performance analysis method and device, equipment and a storage medium. According to the method, the scanning data of the vulnerability scanner are integrated to obtain the scanning data with relatively high identification degree, so that the efficiency of subsequent dimension performance analysis is improved, dimension performance analysis is performed on the integrated scanning data, the operation performance of the vulnerability scanner is quantified through specific numerical values, the scanning data influencing the vulnerability scanner is determined, and the accuracy of dimension performance analysis is improved. Therefore, subsequent performance optimization is facilitated, the technical problem that performance analysis and quantification of the vulnerability scanner are difficult to realize in the prior art is avoided, and the efficiency of monitoring the performance of the vulnerability scanner is also improved.