13results about How to "Avoid real-time" patented technology

The invention relates to the technical field of digital product data processing, and discloses a digital product recharging and selecting system which comprises a data acquisition module, a feature extraction module, a score calculation module, a score compensation module and a commodity recommendation module. Compared with the prior art that a digital product is subjected to static recommendation only based on historical consumption behaviors of a user, and particularly, real-time dynamic optimization recommendation cannot be realized under the condition of rapid change of user preferences or cold start of new commodities, the method and the device have the advantages that the user behavior feature sensitivity index and the real-time interaction behavior are combined, so that the real-time dynamic optimization recommendation can be realized; according to the method, the weight of the recommendation model is dynamically adjusted, accurate capturing of user requirements and real-time updating of the recommendation sequence are achieved, therefore, the problems that in a traditional recommendation system, recommendation results are homogenized, and the real-time performance is insufficient are solved, and the accuracy of digital product recommendation is improved.

The invention discloses a Fast RCNN-based transformer component detection method, which comprises the following steps: replacing an original VGG16 with a feature extraction network ResNet50 to serve as a trunk feature extraction network, adopting a transfer learning mode to take a weight trained on an ImageNET data set as an initial weight of a model, and replacing a region-of-interest pooling operation with a bilinear interpolation method, so as to improve the detection accuracy of a transformer component. And carrying out clustering analysis on the original data set through a K-means clustering algorithm, adopting a contour coefficient method as an evaluation standard, and customizing an anchor frame of a transformer component fault according to a clustering result. A thought is provided for application of deep learning in power equipment fault detection, the model can be carried with various mobile detection platforms subsequently, has high engineering use value, solves the problems of insufficient feature abstraction degree, low accuracy and the like of transformer component detection images, is beneficial to saving manpower, guarantees the safety of inspection personnel, and improves the detection efficiency. And the problems of inspection blind spots and poor real-time performance caused by large subjectivity are avoided, so that the transformer component detection method with higher reliability is realized.

The invention discloses a real-time auditing method for privacy protection of data cross-border flow. The method comprises the following steps: initializing an auditing mechanism, and generating public and private key pairs of domestic enterprises and overseas enterprises; calculating an exit data encryption key and an entry data encryption key; the domestic enterprise encrypts the outbound data through the outbound data encryption key to generate an outbound data ciphertext, and the review institution performs secret state review on the outbound data ciphertext; the overseas enterprise cooperates with the review institution to decrypt the review result, and obtains a partial decryption result of the review institution on the outbound data ciphertext when the review result is passed, and the partial decryption result and partial decryption of the overseas enterprise on the outbound data ciphertext are aggregated to obtain outbound data; the overseas enterprise encrypts the entry data through the entry data encryption key to generate an entry data ciphertext, and the review institution performs secret state review on the entry ciphertext; and the domestic enterprise cooperates with the review institution to decrypt the review result, and obtains a partial decryption result of the review institution on the entry data ciphertext when the review result is passed, and the partial decryption result and partial decryption of the domestic enterprise on the entry data ciphertext are aggregated to obtain entry data.

The utility model discloses a quartz tube sleeve for assembling a bonding wire annealing tube gas sensor, which comprises a tube body, the fixing pipe is used for being inserted into an annealing pipe opening to achieve sleeving connection of the pipe body and the annealing pipe, the limiting protrusion is used for abutting against the end face of the annealing pipe opening, the mounting base is used for mounting a gas sensor, and the limiting protrusion is arranged on the inner circumferential wall of the pipe body. One end of the limiting protrusion is connected between the fixing pipe and the installation base, the other end of the limiting protrusion is arranged in an inclined mode in the direction where the fixing pipe is located, a connecting table is arranged on the side wall of the installation base, and a containing cavity used for containing the sensor body is formed in the connecting table. The gas concentration monitoring device is simple in structure and convenient and reliable to assemble, facilitates monitoring of gas concentration and has a good use effect.

The application discloses a gamma correction method, a display device, a storage medium and a program product, relates to the technical field of image display, and the method is applied to the display device, and the method comprises the following steps: in the case that a target display brightness adjustment instruction is detected, a target reference display brightness corresponding to a target display brightness is determined, the target display brightness adjustment instruction is used for adjusting the current display brightness of the display device to the target display brightness; a gamma lookup table and a gamma reference voltage corresponding to the target reference display brightness are acquired from a gamma correction parameter storage area of the display device, and the gamma lookup table and the gamma reference voltage corresponding to the target reference display brightness are determined based on the gamma lookup table and the gamma reference voltage corresponding to the target reference display brightness; in the case that the current display brightness of the display device is adjusted to the target display brightness, gamma correction is performed based on the gamma lookup table and the gamma reference voltage corresponding to the target display brightness. The application can improve the processing efficiency and real-time performance of gamma correction.

The utility model provides a medical adhesive tape distributor which comprises a bottom plate, an L-shaped plate is fixedly connected to one end of the bottom plate, a plurality of sawteeth used for puncturing medical adhesive tapes are fixedly connected to the end of the horizontal portion of the L-shaped plate, and a supporting piece used for limiting the position of a medical adhesive tape roll is installed on the side, away from the L-shaped plate, of the upper surface of the bottom plate. A first inserting plate is installed at the end, away from the L-shaped plate, of the bottom plate, a connecting pipe is arranged on the first inserting plate in a sleeving mode, a second inserting plate is inserted in the side, away from the first inserting plate, of the connecting pipe, and a clamping frame used for being clamped on the table edge is fixedly connected to the end, located on the outer side of the connecting pipe, of the second inserting plate; the upper surface of the clamping frame is in threaded connection with a clamping screw used for limiting the relative position of the clamping frame and the table edge, and the two positions, close to the end of the clamping frame, of the upper surface of the connecting pipe are in threaded connection with positioning screws.

The invention provides a double-peak-value current control strategy of a four-switch Buck-Boost converter, belongs to the technical field of converter control, and solves the problems that an existing control algorithm is relatively large in delay during high-frequency real-time calculation, and the control method still needs to switch algorithms under light-load and heavy-load conditions. Comprising the following steps: dividing a switching period into four stages: an energy storage stage D-A, a direct connection stage A-B, an energy release stage B-C and a clamping stage C-D according to on and off states of a switching tube of the FSBB converter; a voltage regulator is introduced to the point B to output Vc1, so that the point B is related to the point A, and the FSBB is limited to control the degree of freedom; and the specific value information of the input voltage and the output voltage is detected, the inductive current working state of the FSBB in the step-up / step-down state is determined according to the magnitude relation of the input voltage and the output voltage, and a control logic circuit is constructed to complete double-peak current control.

This invention discloses an intelligent image recognition system and method for cable defects based on artificial intelligence, belonging to the field of image recognition technology. The invention analyzes cable images captured by a high-definition camera using sensors mounted on a robot to collect data on the thickness of the cable overlay. It calculates and judges the cable sag angle, marks the target cable, generates a predicted curve for the overlay thickness based on meteorological data, calculates a predicted curve for the deformation degree of the target cable based on the predicted curve, classifies risk levels and sets warning coefficients based on the deformation rate extracted from the predicted curve, and calculates the priority of the robot for cable defect detection based on the warning coefficient and the deformation degree, driving the robot to plan the detection path.

The invention discloses a wall-climbing robot for vertical metal tank capacity verification, which belongs to the technical field of large metal container volume measurement, and comprises a robot body, wherein the robot body comprises a chassis and a shell, and driving wheels are arranged on both sides of the chassis, and the robot body is provided with: an adsorption unit, comprising a plurality of magnets for adsorbing the metal tank wall, the magnets are connected into a mesh through a connector and move at the bottom of the chassis; a measuring unit, comprising a folding ruler arranged on the chassis and exposed at the top of the shell; a rust removal unit, comprising a rust removal bucket arranged at the front end of the robot body and a driver for driving the rust removal bucket to be lifted and lowered; and a control unit, comprising a microcontroller, a posture detector, an obstacle detector, a suction detector for detecting the adsorption force of the magnet, a distance sensor for measuring the distance between the top of the shell and the metal tank wall, and a communication device. It can avoid leaving indentations on the surface of the metal tank and avoid the problem that the robot is affected by the rust on the metal tank wall.

This invention discloses a motion planning method for a seven-DOF robotic arm system, comprising a six-DOF robotic arm and a guide rail. The method first obtains key configuration parameters, dividing the system's revolution angle around a fixed point into n regions and establishing a one-to-one mapping with n predetermined positions on the guide rail. These parameters include the boundary angles of each region, the corresponding guide rail positions, and floating thresholds set for both to suppress fluctuations in region boundary identification caused by floating-point precision. Subsequently, the current revolution angle and guide rail position are identified to determine the target revolution angle. Based on the region numbering relationship between the current and target angles and the current guide rail position, a motion path is adaptively generated. This path is achieved through asynchronous coordination of the robotic arm joint motion and the guide rail linear motion, maintaining a constant end-effector posture throughout the process. This invention avoids real-time kinematics solving through discretization and parameter mapping, improving planning stability, system adaptability, and motion efficiency.

The invention belongs to the technical field of nuclear power, and particularly relates to a multi-robot path planning system and method based on a multi-source sensor data fusion architecture. The system provided by the invention aims at nuclear power plant multi-robot tasks, encapsulates a special data fusion processing tool, generates a navigation path suitable for the multi-robot tasks in real time by analyzing and positioning related robot bodies and nuclear power plant deployment sensor data in combination with environmental map information, and provides the navigation path for engineering application after virtual environment verification. Therefore, data sources such as robot body sensors, visual monitoring in a nuclear power plant, wireless communication access points and the like are read, analyzed, converted and normalized integrated, a decentralized global scheduling mode is adopted, and preset structured map information is combined to form a practical multi-robot path planning solution. And rapid generation of the optimal navigation path of the multiple robots in the plant is realized.

This invention relates to the field of digital information transmission security and discloses a design method for an SM2 hardware accelerator resistant to side-channel attacks in an RTOS. The method includes: constructing an absolute time window strictly aligned with the communication time slot period based on a bus synchronization clock; monitoring the SM2 operation progress within the window and automatically triggering an isochronous flow control unit upon completion of the actual instruction; this unit drives the operation core to perform twin pseudo-instruction filling on irrelevant data, isomorphic to the actual instruction, until the window terminates and the result is output. This invention physically shapes non-constant-time cryptographic operations into carrier signals with fixed timing and continuous equal-amplitude power envelopes, eliminating feature leakage in differential power analysis and ensuring that the hardware accelerator presents a zero-jitter, time-rigid node to the RTOS, thus meeting the stringent requirements of deterministic transmission in industrial time-sensitive networks.

The invention provides an underwater concrete pouring guide pipe regulation and control system and a regulation and control method thereof. A conduit; a height automatic monitoring device; a catheter depth measuring device; a pouring volume monitoring device; and a data processing and decision module. Through cooperative acquisition and fusion analysis of multi-source construction information such as concrete pouring interface height, conduit hole entering depth and pouring volume, continuous, automatic and high-precision calculation of conduit burial depth is realized, and the problems of error accumulation and insufficient real-time performance caused by intermittent measurement depending on artificial experience in a traditional construction process are avoided; by synchronously monitoring the concrete interface state and the space position of the guide pipe, the buried depth of the guide pipe is always in a controllable range, so that the risks of quality defects such as frost boiling and mud inclusion caused by too small buried depth are effectively reduced, and pipe blockage and pipe drawing difficulty caused by too large buried depth are reduced; in addition, real-time evaluation and anomaly identification of the construction state can be realized in a complex underwater construction environment.