16results about How to "Regulatory intelligence" patented technology

The invention is suitable for the technical field of naked eye 3D, and provides a naked eye 3D interaction method and system based on OSG, and the method comprises the following steps: loading an OSG library and a deep learning model, loading a 3D model, a map and a light source through OSG, and obtaining an OSG scene; collecting interaction data of a user in real time, inputting the interaction data into the deep learning model, and performing real-time analysis; outputting the visual angle parameter and the model parameter obtained through analysis, and adjusting the camera position and the model posture in the OSG scene according to the visual angle parameter and the model parameter; according to the optimized OSG scene, utilizing a computer vision technology to generate a parallax image, and utilizing a deep learning algorithm to optimize the parallax image so as to improve the reality sense and the stereoscopic sense of the 3D effect; and synthesizing the optimized parallax image into a naked eye 3D image. According to the invention, real-time and intelligent adjustment can be carried out according to the actual interaction behavior of the user, and the reality sense and stereoscopic impression of the 3D effect are strong.

The invention discloses an intelligent light source regulation and control system and method based on AI relighting, and belongs to the technical field of light source regulation and control, and the method comprises the following steps: 1, carrying out the three-dimensional reconstruction of a site through employing a three-dimensional reconstruction technology, and outputting a three-dimensional environment model; 2, matching the light source parameters with the AI re-lighting model; step 3, simulating a character polishing effect by the AI re-polishing model; 4, judging whether light source setting is completed or not, if not, executing the step 5, and if yes, executing the step 7; 5, detecting and feeding back space coordinates and spectral data; step 6, light source control adjustment and registration; step 7, event setting and light source matching; 8, scene figure detection and registration; step 9, registering light source switching and camera switching events; and 10, judging whether event matching is completed or not. The system can achieve the effects of intelligent dimming, cost reduction, high-precision matching, automatic control and the like, and is suitable for application scenes of studios or stage plays.

The invention discloses a student classroom behavior intelligent analysis and judgment system and method, and relates to the technical field of classroom behavior recognition, and the system comprises a data collection and storage module, a behavior analysis module, a monitoring time control module and an after-class feedback module. Through a target recognition algorithm, a labeling technology and a face recognition technology, generating a bounding box of a student position in each second frame image, recognizing a student identity and recording a coordinate range and a name of the corresponding bounding box; a behavior recognition model is constructed through a labeling technology and a key point technology, and corresponding student behaviors are analyzed when different analysis signals are received; monitoring face features of teachers in a classroom through a face recognition technology to adjust a classroom behavior monitoring period; analyzing the number of times and the total number of abnormal behaviors of each student, and carrying out special marking on a specified student; according to the invention, intelligent behavior identification of different types of students and intelligent adjustment of the monitoring period under different conditions are realized.

The present invention discloses a flight control method and system of unmanned aerial vehicle tracking technology, which relates to the field of unmanned aerial vehicle control technology. The method comprises the following steps: before the unmanned aerial vehicle takes off, the airborne sensor is pre-started, parameter initialization and calibration operations are performed, and magnetic markers are installed on the tracking target at the same time; the body position of the unmanned aerial vehicle during flight is obtained, and a multi-sensor data fusion algorithm is used to sense the target position of the tracking target in real time; obstacles existing in the flight path are detected in real time, integrated into a three-dimensional environmental model, and combined with a follow-up visual tracking algorithm to capture the motion state of the tracking target; target tracking data is saved and fed back in real time, and the battery status and energy consumption rate of the unmanned aerial vehicle are monitored. By combining magnetic guidance technology, multi-sensor data fusion and a follow-up visual tracking algorithm, the present invention can achieve high-precision target tracking in a dynamic and complex environment, while effectively avoiding obstacles and ensuring the flight stability and tracking accuracy of the unmanned aerial vehicle.

The invention relates to the technical field of data processing, in particular to an automatic filling method based on a browser, which comprises the following steps: acquiring filling duration, correction frequency and selection frequency; determining a temporary field; determining an automatic field; determining a filling field; determining a prediction field; and adjusting the threshold value and filling. According to the method, the filling duration, the correction frequency and the selection frequency of the user in the website browsing process are collected and analyzed in real time, the form fields can be intelligently recognized and automatically filled, the filling habit of the user can be accurately predicted and adapted by dynamically adjusting the duration threshold value, the form filling efficiency and accuracy are effectively improved, and the user experience is improved. Compared with a traditional static automatic filling mode, the method is more personalized, the filling strategy can be optimized in real time according to user behaviors, tedious steps of user operation are reduced, the user experience is improved, and the problems that the response speed is low and the filling adaptability is poor due to the fact that processing depends on a server side are effectively solved.

The invention relates to the technical field of chip testing equipment, in particular to chip automatic testing equipment convenient for multi-angle identification, which comprises a visual detection device, a plane adjusting device, an angle adjusting device and a controller, a to-be-detected platform is mounted on the plane adjusting device, the plane adjusting device is used for performing plane adjustment on the to-be-detected platform in the X-axis direction and the Y-axis direction, and the to-be-detected platform is used for placing a to-be-detected chip; a visual detection device is mounted on the angle adjusting device, the angle adjusting device is used for adjusting the angle of the visual detection device in the Z-axis direction, and the visual detection device is used for identifying imaging and detecting positioning; the controller is electrically connected with the visual detection device, the plane adjusting device and the angle adjusting device, and the controller is used for adjusting the angle adjusting device and the plane adjusting device according to signals fed back by the visual detection device. According to the invention, multi-angle and high-precision detection of the chip can be realized, and meanwhile, the test efficiency, stability and accuracy are improved.

This application discloses a method, apparatus, storage medium, and electronic device for adjusting transmission power, relating to the field of smart home technology. The method includes: receiving device information reported by a communication module, wherein the device information includes at least: the device network identifier of the device where the communication module is located and the corresponding device model; determining the current device's configuration information in different dimensions based on the device information; determining the target transmission power to be executed by the communication module based on the configuration information and preset configuration data; and adjusting the historical transmission power of the communication module on the current device using the target transmission power. This solves the problems of single configuration strategy, poor flexibility, and low efficiency when dynamically managing the transmission power of communication modules in the cloud. Furthermore, by receiving and parsing the device information of the communication module in the cloud, multi-dimensional configuration parameters are determined to intelligently and dynamically adjust the historical transmission power settings of the communication module in the IoT device.

The invention discloses a gray release verification method for a localized cloud charging system, and the method comprises the steps: introducing a twinborn state transaction verifier which carries out the synchronous verification of the context states of new and old version applications at a plurality of key state points of a charging transaction, achieves the in-event discovery and real-time intervention of logic deviation, and improves the verification efficiency. Therefore, the actual occurrence of wrong transactions is avoided. Meanwhile, the invention provides an RCI (Relief Confidence Index) model, the performance of the new version on consistency, performance and stability is comprehensively quantified, and subjective judgment is converted into scientific data decision. According to comparison of the RCI value and the preset threshold value, the system can automatically execute operations such as rollback, verification range expansion or promotion suggestion and the like, and intelligent and staged transition from single-point verification to total release is realized. According to the method, on the premise of guaranteeing zero interruption of the service, deep and safe verification and automatic decision issuing of the new version application can be realized, and the reliability and efficiency of updating of the key service system are remarkably improved.

This invention discloses an adaptive spatial filtering method to reduce the false alarm rate in laser ranging. An adaptive spatial filtering module is introduced into the laser ranging system. A real-time sky background noise acquisition module detects changes in sky background light intensity and feeds this information back to the control system for immediate response. Based on the acquired control signals, a receiving field-of-view control module enables automatic control of a series of mechanisms and circuits. A variable aperture with adjustment function limits the background noise entering the laser ranging system; when the background light radiation intensity is high, the aperture diameter decreases, and vice versa. This design is simple in structure, easy to operate, stable, and highly automated. It not only balances the system's target acquisition capability and noise suppression capability but also has good adaptability, allowing for real-time, intelligent, and efficient adjustment of system structural parameters according to observation conditions, thereby improving system stability and automation.

The invention discloses a waveguide antenna automatic alignment system capable of being accurately assembled, which comprises a monitoring mechanism, an adjusting mechanism arranged on the inner side of the monitoring mechanism and a grabbing mechanism arranged above the monitoring mechanism, and is characterized in that the adjusting mechanism comprises a base, a rotating assembly arranged on the base and a shaking assembly arranged on one side of the rotating assembly; the grabbing mechanism comprises a linear sliding rail assembly, a downward pressing piece arranged on the linear sliding rail assembly and a pneumatic suction cup arranged on the downward pressing piece. The monitoring mechanism comprises a base, a placement frame arranged on the base and a monitoring piece arranged on one side of the placement frame; the placing frame and the monitoring piece are arranged under the linear sliding rail assembly, and the monitoring piece is used for preventing a circuit board from being fixed; therefore, the overall assembly precision of the product is improved, the assembly process is accelerated through the automatic process, the production period is shortened, and the production efficiency is improved.

The invention relates to the technical field of geological disaster emergency, and discloses a geological disaster emergency evacuation path intelligent planning system based on edge calculation. The system comprises a terrain monitoring layer, a risk assessment layer, a path deduction layer and an evacuation control layer. The terrain monitoring layer collects a multi-dimensional terrain data flow of a disaster area in real time through an edge computing node; the risk assessment layer fuses the historical catastrophe model and the multi-dimensional topographic data flow to carry out geological stability calculation, and generates a dynamic risk distribution map; the path deduction layer generates an initial evacuation path network through a self-adaptive optimization algorithm in combination with the dynamic risk distribution map and a preset evacuation constraint condition; and the evacuation control layer converts the initial evacuation path network into a navigation instruction set and drives terminal execution equipment to implement evacuation guidance. According to the system, the terrain change of a disaster area can be mastered in real time, the risk is accurately evaluated, an evacuation path fitting the reality is generated, personnel evacuation is effectively guided, and the efficiency and safety of emergency evacuation of geological disasters are improved.

The invention relates to the technical field of vehicle transmission, in particular to a wheel type hybrid transmission walking mechanical transmission system which is mainly composed of a terrain recognition module, a control module, a motor transmission module, a speed change module, a clutch module, a hydraulic transmission module, an energy storage module and a suspension module. The terrain environment around the wheel type walking machine is scanned in real time; the motor transmission module is directly connected with a driving wheel of the wheel type walking machine, and the walking machine is driven to advance or retreat through rotation of a motor. The hydraulic transmission module provides power for the wheel type walking machine through a hydraulic motor. The speed change module performs speed change control according to the instruction sent by the control module; the clutch module is used for disconnecting and connecting the corresponding motor transmission module and hydraulic transmission module according to the terrain requirement of the control module; the invention aims to provide a walking mechanical transmission system which is efficient, flexible and suitable for various terrains.

The invention discloses an air-drop height, wind speed and wind direction measuring device and method of an anti-impact retractable structure, and belongs to the technical field of atmosphere data measurement and air-drop equipment. The invention aims to solve the problems of poor impact resistance, low response speed and large volume and weight of the existing measuring device in an air-drop environment. The retracting and releasing device, the wind direction measuring unit and the pressure difference measuring device are highly integrated, so that the device can push the wind direction measuring unit to an optimal measuring position in an air-drop flight measuring stage and perform real-time atmosphere information acquisition and feedback, and the device is quickly retracted into a cabin in a landing stage, so that the measuring device is prevented from destructive impact. Through the unique structural design, the measuring device can feed back accurate and reliable atmosphere information in real time in an extreme air-drop environment so as to adjust a flight strategy, meanwhile, the measuring device has high impact resistance, and the service life of the measuring device is prolonged.

The invention provides a mainboard power supply analysis method and analysis system, and relates to the technical field of mainboards, the mainboard power supply analysis system comprises a power supply system of a plurality of local mainboards, the power supply system comprises a plurality of distributed nodes and a master control node used for coordinating the distributed nodes, and the distributed nodes respectively collect working parameters of the local mainboards where the distributed nodes are located; the working parameters are preprocessed; correspondingly inputting the preprocessed working parameters into a PID (Proportion Integration Differentiation) controller configured by distributed nodes, and generating initial control output; each distributed node sends the preliminary control output and the working parameters to the master control node, and obtains adjusted PID parameters and final control output by using a self-adaptive fuzzy logic controller of the master control node; evaluating the local operation state of the local mainboard according to the adjusted PID parameters and the final control output; and each distributed node sends the local operation state to the master control node, and the master control node judges the global operation state of the power supply system according to a preset state index.

A method for adjusting downlink outer loop AMC in a 5G wireless system and a base station, the method comprising: obtaining a feature vector in a current decision period; inputting the feature vector in the current decision period into an intelligent decision model to determine a target offset of downlink outer loop AMC in the current decision period from a preset MCS offset value range; wherein the feature vector in the current decision period comprises a value of a physical layer parameter and a value of a throughput parameter, wherein the value of the physical layer parameter is determined according to CQI currently fed back by a UE in at least two latest TTI periods; and the value of the throughput parameter is determined according to the size of a TB successfully transmitted by the UE in a preset throughput window, so as to realize more intelligent, stable and accurate adjustment of the downlink outer loop MCS offset.

This invention discloses an adaptive decision-making path planning method and system based on multi-level risk. The method includes: applying a gray clustering algorithm coupled with a long short-term memory network to a warning model for dynamically assessing and classifying the disability risk of a target object; generating an initial decision path based on the risk assessment results and a disability prevention and control knowledge base by solving a multi-objective optimization function that integrates expected effectiveness, feasibility, and burden; collecting effect deviations and execution deviations during path execution, and dynamically adjusting the weights of the multi-objective optimization function using a fuzzy weight controller to reconstruct the decision path; and iteratively updating the knowledge base based on group feedback data. This invention helps solve the problems of static disability risk assessment, rigid intervention plans, and fragmented management scenarios in existing technologies, achieving dynamic and accurate early warning of disability risk in the elderly, deep adaptive adjustment of intervention paths, and full-cycle closed-loop management.