16 results about "Vertical control" patented technology

The invention discloses a TRD equipment construction vertical control method and system based on digital twinning, and relates to the technical field of TRD equipment construction control, and the method comprises the steps: creating a three-dimensional dynamic twinning body which is in fidelity synchronization with TRD equipment and a construction geological environment; connecting physical perception execution equipment, and driving the digital twin model to update synchronously; calling a vertical state sensing module, and identifying a hierarchical vertical state by using a preset vertical tolerance threshold; and carrying out strategy matching search, feeding back a vertical control adjustment strategy, and carrying out real-time operation response on TRD equipment. The technical problems that in the prior art, in traditional TRD equipment construction, perpendicularity control is prone to being affected by geological environment changes and equipment operation data feedback lag, so that equipment control precision is low, and construction quality is unstable are solved, accurate control over TRD equipment construction perpendicularity is achieved, and the construction quality is improved. And the construction quality and the equipment operation stability are improved.

The application relates to the technical field of land surveying, and discloses a land surveying automatic mapping device and method, which comprises a machine body assembly, a foot stand assembly is installed at the bottom of the machine body assembly, a protection mechanism is further arranged at the outer side of the machine body assembly, the protection mechanism comprises cover plates, the cover plates are movably installed on the machine body assembly, the cover plates are mutually spliced to form a cover body, the machine body assembly is located in the cover body, a dust suction box is further arranged in the protection mechanism, dust adhered to the machine body assembly in the cover body is sucked and removed, a limiting air blowing mechanism is further installed on the foot stand assembly, the machine body assembly comprises a base plate, the foot stand assembly is installed at the bottom of the base plate, a horizontal adjusting mechanism is installed on the base plate, an installation plate is installed on the horizontal adjusting mechanism, a machine body is installed on the installation plate, a front display screen is arranged at the front side of the machine body, a horizontal control screw is arranged on the machine body, and a vertical control screw is arranged on the machine body, so that the machine body is protected and dust is sucked.

Provided is a fabricated rapid construction platform for a bridge, including a fixing frame, an upper-layer tubular pile position control structure, a lower-layer tubular pile position control structure, and a console, the fixing frame includes a bottom rail platform, supporting posts, a top operation platform, and several supporting legs; the upper-layer tubular pile position control structure and the lower-layer tubular pile position control structure are provided between the bottom rail platform and the top operation platform; the upper-layer tubular pile position control structure includes two sub-structures arranged symmetrically about the central axis of a second through hole, and each sub-structure includes a braking device, a vertical control arm, and a horizontal control arm. The lower-layer tubular pile position control structure includes an annular frame, a revolution driving device, and four lower control arms.

The present application relates to the technical field of pressure sensitive adhesive production monitoring, and particularly relates to a pressure sensitive adhesive online production analysis method and system based on data monitoring. The method comprises the following steps: deploying a coating data monitoring network on a coating production line; synchronously obtaining coating real-time monitoring data containing coating thickness data and coating pressure data online through the coating data monitoring network; performing horizontal and vertical decoupling analysis and pressure disturbance feature based on the coating thickness data in the coating real-time monitoring data, then determining the defect source type, and generating corresponding vertical control instructions, horizontal control instructions or step-by-step cooperative control instructions according to the defect source type, so as to realize real-time automatic control of the horizontal and vertical thickness of the wide-width pressure sensitive adhesive coating. The present application realizes accurate determination of the defect source through online correlation diagnosis of the coating thickness and process pressure data, so as to complete real-time regulation of the horizontal and vertical thickness.

The invention relates to the technical field of grain detection and sampling, in particular to a marine aggregate and division all-in-one machine which comprises a sampling assembly and a division assembly, the sampling assembly comprises a grain pile base and an aggregate sampling rod, a control bearing seat is arranged at the upper end of the grain pile base, and a telescopic arm assembly is rotationally arranged at the upper end of the control bearing seat; the telescopic arm assembly comprises a supporting sleeve beam, a first telescopic arm and a second telescopic arm, when the device is used for collecting and dividing, the device is lifted to be placed above grains of a ship, and then multi-point grain collecting and sampling are achieved through the telescopic arm assembly and the vertical control assembly of the sampling assembly; meanwhile, the device is placed on grains, the influence of damage to an aggregate sampling rod caused by ship floating can be avoided, the sampling efficiency and quality of division can be rapidly improved in cooperation with treatment of a stirring frame and two conical center cylinders in the division link after material collection, and operation is free of worry and convenient.

The compact layered water intake tower comprises a working chamber of a vertical structure, the top of the working chamber is connected with a control chamber, the side surface of the working chamber is connected with a lug room, and the interior of the working chamber is connected with a water diversion treatment section; the control room is provided with opening and closing equipment, the working room comprises an upper-layer water taking section, a middle-layer water taking section and a lower-layer water taking section, and an orifice is formed in the right side of the working room and higher than the upstream water level A vertical control gate groove is formed in the working chamber and is in sliding fit with the control gate; a plurality of access doors are vertically formed in the surface of one side of the working chamber; the device solves the technical problems that in the prior art, too many service gates of a water intake tower are arranged in the horizontal direction, equipment in a working room is not arranged compactly, the service gates are too large in size and inconvenient to overhaul, the trash holding structure is incomplete, and large potential safety hazards exist, the ball valves are used for replacing emergency gates, and the function of convenient and fast installation is achieved; and when an accident occurs, the ball valve can be rapidly and emergently closed, and danger is avoided.

The embodiment of the invention provides a method and system for determining a prediction speed model, a storage medium and equipment, and relates to the field of oil exploration seismic data processing, and the method comprises the steps: obtaining a plurality of speed model labels through controlling a speed longitudinal control line to slide up and down on a VSP zero offset speed model; performing ray tracing forward modeling on the speed model label to obtain corresponding first arrival travel time data; marking the respective corresponding first arrival travel time data through each speed model label, and constructing a training data set; training an initial neural network model through the training data set to obtain a target neural network model which is qualified in training; and inputting the actual first arrival travel time data into the target neural network model for speed model prediction, and obtaining a predicted speed model corresponding to the actual first arrival travel time data. According to the method, the prediction precision of the target neural network model is improved.

This invention discloses an intelligent control system and climbing method for hydraulic climbing formwork, relating to the field of hydraulic climbing technology for curved bridge tower concrete structures. It includes a BIM model, a vertical movement control module for the formwork, a horizontal control module for the formwork, and a hydraulic servo system. The BIM model is used to query the coordinates of key points on the main tower segment to be climbed, and simultaneously configures preset joint variables during formwork movement to drive automatic climbing. The vertical control module monitors whether the joint variable movement status meets preset requirements during formwork movement, and adjusts the joint variable parameters according to the actual status of the "formwork status monitoring" module to ensure the vertical movement and positioning of the formwork. This intelligent hydraulic climbing formwork control system establishes a main tower formwork angle control function based on design drawings, and establishes a function with height as the independent variable for each adjustable arc formwork and rearward movement device, outputting the adjustment amount of each adjustment system to achieve automatic matching of the formwork shape and high structural construction accuracy.

The present application belongs to the technical field of computer vision and image data processing, and relates to a monitoring video behavior feature extraction method and system based on a space-time graph convolution network. The method comprises the following steps: first, extracting human body skeleton key points from the monitoring video and performing scale normalization based on the torso length; second, calculating a vertical control deviation value reflecting the degree of vertical gravity control loss of the human body and a trajectory oscillation entropy reflecting the degree of disorder of the motion trajectory; third, using the vertical control deviation value and the trajectory oscillation entropy to construct an adaptive weight function to generate a behavior anomaly weighting coefficient; and finally, weighting the to-be-identified skeleton features using the behavior anomaly weighting coefficient and inputting the space-time graph convolution network for identification. The present application can effectively distinguish behaviors that are similar in spatial geometric shape but different in physical nature, thereby reducing the false positive rate in industrial scenarios.

The application discloses a longitudinal-vertical control method, system and device for a wheel-legged unmanned platform, and relates to the field of unmanned platform control. The method comprises the following steps: determining an equivalent passive damping system; constructing a longitudinal dynamics system of a wheel-legged system and a vertical dynamics model of the wheel-legged system; respectively acquiring longitudinal key responses and vertical key responses; establishing longitudinal control targets according to the longitudinal key responses; establishing vertical control targets according to the vertical key responses; determining a longitudinal-vertical control target function of the wheel-legged system; determining an active controller based on the longitudinal dynamics system of the wheel-legged system and the vertical dynamics model of the wheel-legged system by using an active control algorithm according to the target function; and equivalently converting the longitudinal active control force and the vertical active control force into joint torque of each wheel leg for control. The application can reduce the vibration negative effect of the unmanned platform caused by large road excitation, and improve the driving safety and stability of the wheel-legged unmanned platform.

The application discloses a kind of unmanned aerial vehicle autonomous obstacle avoidance and dynamic landing method and system based on vision.The method comprises the following steps: collecting environment image, identifying landing platform and obstacle and tracking and positioning landing platform;Based on obstacle information, threat assessment is carried out, and environment state description is generated by encoding vision and threat information;Based on landing platform position, reward information is constructed, and environment state description is input into autonomous decision network, after feature fusion of reward information and environment state description in horizontal control sub-network, horizontal motion decision is output, and vertical control sub-network outputs vertical motion decision;According to motion decision, control instruction is generated, unmanned aerial vehicle is controlled to avoid obstacle and land to landing platform.The application converts vision information into structured state description by threat assessment mechanism, and guides decision process by fusing reward information and state features, realizes autonomous obstacle avoidance and accurate landing in complex environment.

The invention provides a deep complex tectonic zone structure simulation method and device. According to the seismic data of the target area, determining boundary condition parameters and structural evolution stage division information; determining construction loading control parameters according to the boundary condition parameters; obtaining a target simulation stratum of each stage according to the structural evolution stage division information; according to the structure loading control parameters, the transverse control module and / or the longitudinal control module are / is controlled to carry out corresponding extrusion operation on the target simulation stratum of each stage so as to simulate and form a target structure belt of each stage; and a data acquisition module is used for acquiring stress response data and tectonic deformation image data of a target tectonic zone at each stage in the extrusion process, determining stratum response characteristics under the loading of the target simulated stratum structure, and determining an evolution process of the stratum and mechanical control characteristics of the stratum according to the stratum response characteristics. Therefore, the tectonic evolution process is more accurate and controllable, and the consistency of a simulation result and actual geological evolution is improved.

The utility model discloses a feed guide rail of cross -shearing machine with infrared detection function, include: base, two U -shaped rails are equipped with on its top, and the bottom inner wall of U -shaped rail is embedded with a plurality of first anti -wear ball, threaded drive guiding mechanism, install between the top of base and the bottom of two U -shaped rails, and threaded drive guiding mechanism is used for to two U -shaped rail horizontal drive. The utility model discloses a series of structure's setting, can realize to the horizontal control pressure positioning and vertical control pressure positioning of strip material, through horizontal and vertical positioning mode, improve the stability in transmission process, reduce the situation of strip material up and down and left and right swing, through control pressure positioning, can effectively reduce the situation of the normal conveying of strip material because of the positioning clamping force is bigger, and can detect the strip material feeding condition through the infrared detection mode, and remind personnel, convenient personnel eye -catching strip material feeding condition.

The invention relates to the technical field of pressure-sensitive adhesive production monitoring, in particular to a pressure-sensitive adhesive online production analysis method and system based on data monitoring. The method comprises the following steps: deploying a coating data monitoring network on a coating production line; coating real-time monitoring data including coating thickness data and coating pressure data are synchronously obtained on line through a coating data monitoring network; the method comprises the following steps of: performing transverse and longitudinal decoupling analysis and pressure disturbance characteristics on the basis of coating thickness data in coating real-time monitoring data, then judging the type of a defect source, and generating a corresponding longitudinal regulation and control instruction, a transverse regulation and control instruction or a step-by-step coordinated regulation and control instruction according to the type of the defect source; therefore, real-time automatic control of the transverse and longitudinal thicknesses of the wide pressure-sensitive adhesive coating is realized. According to the method, accurate judgment of a defect source is realized through online correlation diagnosis of the coating thickness and the process pressure data, so that real-time regulation and control of transverse and longitudinal thicknesses are completed.

The application provides a focusing method for defect detection, comprising the following steps: placing a to-be-detected substrate on a workpiece table and making a center point of the to-be-detected substrate be at an optimal focal plane of a detection objective lens; acquiring vertical heights of a plurality of sampling points by a vertical measurement sensor; performing polynomial fitting on all sampling points of the to-be-detected substrate, and outputting all valid sampling point data of the measured fitting substrate surface type; fitting the substrate surface type according to the output valid sampling point data, and adjusting a vertical height parameter of a substrate area where a detection light spot is located in real time, or adjusting an X-direction tilt value, a Y-direction tilt value and the vertical height parameter in real time, so that the to-be-detected substrate as a whole is placed at the optimal focal plane of the detection objective lens. The vertical control of a multilayer high-order complex substrate surface type is realized, and the vertical control precision is improved.

The invention discloses a construction method of a large vertical control model in the field of air conditioners, and belongs to the technical field of construction of large control models, the construction method comprises the steps of selecting and optimizing a base model architecture and carrying out adaptation of characteristics in the field of air conditioners, and the whole-process innovation from basic model optimization to continuous evolution is realized by constructing the large vertical control model; the instruction analysis precision is improved through multi-modal data fusion, closed-loop optimization is formed in combination with physical constraints and user feedback, the intelligent level and user experience of an air conditioning system are remarkably improved, a step-by-step reasoning chain is designed, a model can generate a complete control path containing multi-modal evidence, and the model adapts to different user preferences through dynamic instruction fine adjustment; the flexibility of instruction analysis is remarkably improved, intelligent decision-making in a multi-intention scene is realized, and the user satisfaction and the equipment energy efficiency balance capability are improved.