10results about How to "Strong intelligence" patented technology

The invention relates to the technical field of deep foundation pit monitoring, and discloses a deep foundation pit micro-deformation InSAR remote sensing method and system and a storage medium. The method comprises the following steps: synchronously acquiring data through a ground radar and an InSAR satellite, and obtaining a point target set and an original scattering characteristic sequence; obtaining a net deformation phase sequence without influence through registration residual correction, phase deduction and weighted fusion processing, and carrying out phase consistency quality control and unwrapping processing to obtain an accumulated deformation quantity sequence; constructing a deformation mechanism correlation characteristic matrix based on correlation analysis of the cumulative deformation quantity sequence and radar reflection intensity amplitude attenuation characteristics; and fusing the deformation mechanism correlation feature matrix and the real-time differential interference image group, extracting deformation rate and phase gradient change, and further generating a deep foundation pit local micro-deformation risk early warning index set. According to the invention, the tiny deformation of the surrounding area of the foundation pit can be effectively detected, potential risks are warned in advance, and the safety and monitoring efficiency in the construction process are improved.

The utility model relates to the technical field of stocker cargo carrying tables, and discloses a sensor mounting structure of a stocker cargo carrying table, which comprises a cargo carrying table main body, a first aluminum alloy beam is fixedly mounted on the left side of the cargo carrying table main body, and a second aluminum alloy beam is fixedly mounted on the right side of the cargo carrying table main body; the code scanner is fixedly mounted on the back surface of the cargo carrying table main body; and the camera support is fixedly installed on the top of the second aluminum alloy beam, and a camera is fixedly installed on the inner wall of the camera support. According to the utility model, through the design of the sensor layout mechanism and the cooperation of the groove-shaped photoelectricity and the limit switch, compared with the common diffuse reflection photoelectricity, the groove-shaped photoelectricity has the advantages of strong anti-interference capability, various specifications and styles, higher intelligence and higher reliability due to the special structural design, and compared with the existing scheme, the limit switch has the advantages that the structure is simple and the cost is low. And in the aspect of emergency braking treatment, braking treatment is quicker and more efficient, so that the safety can be further improved.

This invention discloses a manufacturing equipment and method for hot roughing universal joints used in metallurgical steel rolling. The equipment includes a worktable with four support legs at its bottom and a central control system at its top. It also includes a speed-changing support mechanism mounted on the top of the worktable, with two fixing mechanisms on the mechanism. The two fixing mechanisms respectively fix the universal joint and a flange. This supports the universal joint and the flange, enabling synchronous rotation and position adjustment, providing stable support for subsequent welding, straightening, and other processes. This device significantly improves welding quality by refining grains and dispersing impurities through multi-field coupling; avoiding surface damage through non-contact creep straightening; achieving micron-level straightening through ultrasonic rolling; forming a deep residual compressive stress layer to improve fatigue resistance; reducing human error through automated closed-loop control; adapting to various workpiece specifications; and significantly improving efficiency and reducing costs through integrated processing.

The application discloses a radar radiation source identification system based on a time domain graph tensor attention network, realizes the connection between different sampling points and different radar features, and thus accurately identifies the radar radiation source. The identification system is composed of a radar acquisition module, a database and an upper computer. The radar acquisition module acquires the radar radiation source signal and stores the radar radiation source signal into the database. The upper computer collects the data in the database, performs signal transformation on the collected data, models a robust attention identification model based on the time domain graph tensor data after signal transformation, and detects new radar radiation source signals by using the robust attention identification model. The application realizes online identification of the radar radiation source identification with strong intelligence, high precision and high accuracy, and solves the problems of low identification precision of the radar radiation source and the fact that the time domain correlation and feature correlation are not considered.

This invention belongs to the technical field of smoked food processing equipment, specifically a smoking chamber for producing cured meat. It includes a modular house, a wood-fired stove installed outside the modular house, and a smoke exhaust and air intake device installed inside the modular house. The modular house includes a roof sealing panel, wall sealing panels, an insulated floor, and a modular beam. The roof sealing panel, wall sealing panels, and insulated floor are installed on the modular beam and assembled using hinges to form a sealed chamber. An installation cavity is reserved in the roof section. A suspension rod is installed inside the modular beam. A chimney is located behind the wood-fired stove and connected to a smoke guide pipe. A smoke guide valve is installed near the chimney on the smoke guide pipe. This solution uses a fully sealed modular structure combined with heat-insulating and flame-retardant panels, and with the wood-fired stove's smoke supply mode, reduces firewood costs. The incense plate of the spray device can be flexibly replaced with different incense materials to achieve various flavor combinations. Furthermore, the differentiated negative pressure smoke distribution design ensures complete smoke coverage, resulting in even coloring and a richer flavor in the cured meat.

This application belongs to the field of elevator door control technology, specifically an adaptive anti-pinch control system and method for elevator door operators, including a sensing layer, a control layer, and an execution layer. The sensing layer integrates infrared sensors, ultrasonic sensors, pressure sensors, and current sensors to collect information on obstacles near the door and the load information of the door operator motor. The control layer uses an Arduino microcontroller as its core, paired with a dedicated BLDC driver module, to receive and analyze the data from the sensing layer and issue control commands. The execution layer consists of a brushless DC motor and a door drive mechanism, controlling the opening and closing of the door according to the commands from the control layer. This solution addresses the problem that traditional systems lack real-time monitoring and fault warning functions for the door operator's operating status, making it difficult to detect potential safety hazards in a timely manner, thus increasing maintenance costs and safety risks.

The application provides a building health performance optimization design method based on space thermal autonomy. The method realizes comprehensive and overall evaluation of user thermal comfort by integrating a thermal comfort comprehensive evaluation model in the calculation process. Meanwhile, a space-time graph model is applied to train a prediction model of space thermal autonomy, and the dynamic characteristics of the indoor environment in the time dimension and the space layout are accurately captured and analyzed in combination with the user activity law, so that the problems of large prediction error and large computing power demand of the current space thermal autonomy are solved. The implementation of the application can greatly improve the efficiency and accuracy of the prediction of the space thermal autonomy, provide technical support for optimizing the space thermal autonomy in the building design process, improve the passive design strategy of the building, enhance the thermal regulation capacity of the building itself, improve the living experience of the occupants, save energy and reduce carbon, and promote the development of the building design in a more healthy, green and efficient direction.

The application discloses a kind of non-structure grid full automatic generation method, it is related to computational fluid dynamics pre-processing technical field.The application includes: the component segmentation is carried out to aircraft CAD model, obtains segmentation result and key geometric feature line;Geometric defect identification and repair are carried out to each subcomponent, generate component-level surface grid;Fusion geometric data, component semantic label and calculation working condition, utilize neural network to predict the grid area type and control parameter of boundary line, drive generation optimized surface grid;Based on optimized surface grid, generate boundary layer and three-dimensional body grid, assemble and output complete simulation model.Intelligent segmentation is realized by the combination of multi-modal AI and geometric rules, defect adaptive repair and grid strategy intelligent decision are realized by using graph neural network, and hybrid body grid containing pyramid transition unit is automatically generated, end-to-end full automatic generation from CAD model to simulation grid is realized, and the grid generation efficiency, quality and adaptability to flow field characteristics are significantly improved.

The invention provides a robot control method, system and device, a medium and a product, and the robot control method comprises the steps: generating a three-dimensional semantic map of a working area based on an image in the working area shot by a monitoring camera, and responding to a natural language obtaining instruction, according to the natural language instruction, the real-time position of the robot and the three-dimensional semantic map, the navigation action lexical element and the operation action lexical element are generated, so that the robot is controlled to execute the task corresponding to the natural language instruction in the working area according to the navigation action lexical element and the operation action lexical element, the robot can be controlled more accurately, and the working efficiency is improved. Therefore, the safety risk when the robot executes the task is effectively reduced, and it is guaranteed that the robot can execute the task in a dynamic complex environment with low risk and high precision.

The utility model provides a digital operation system for a complete set of switch equipment, which comprises a partial discharge monitoring device, a mechanical characteristic monitoring device, a wireless temperature measuring device, a multifunctional ammeter, a switch state detection device, a microcomputer protection device and an infrared camera which are communicated with an integrated intelligent touch screen, information collected by a multifunctional electric meter, a partial discharge monitoring device, a mechanical characteristic monitoring device, a wireless temperature measuring device and other sensors is transmitted to an integrated intelligent touch screen through an RS485 serial port, and an infrared camera uploads a state image of a gas tank switch to the integrated intelligent touch screen in real time. The electrical equipment operation state monitoring system realizes comprehensive monitoring of the electrical equipment operation state, can be used for ring main units, C-GIS and other products, is obviously superior to existing products in the market in the aspects of intelligence, safety, operation and maintenance efficiency and expansibility, and is especially suitable for industrial, commercial and intelligent power grid scenes with high reliability requirements.