5results about How to "Overcoming adjustment" patented technology

The embodiment of the invention discloses a camera adjusting method, system and device. A target shooting parameter of a conference room space is acquired; based on the target shooting parameters, determining a target shooting range which needs to be covered by the at least two first cameras in the conference room space; determining a lens adjustment angle corresponding to each first camera according to the target shooting range and the current shooting range of each first camera; and based on the lens adjustment angle, adjusting the at least two first cameras, so that the shooting ranges of the adjusted first cameras jointly cover the target shooting range. Therefore, the target shooting range, which needs to be covered by the first camera in the conference room space, is determined according to the target shooting parameter of the conference room space, so that the angle of the first camera is adjusted according to the target shooting range, and the shooting angle of the camera in the conference room space can be automatically adjusted in accordance with a conference room scene; the definition of picture output is ensured under the condition of covering a conference room scene.

This invention provides a metal forming device for fire protection material processing, relating to the field of metal processing equipment. It includes a base, a processing frame mounted on top of the base, a start switch mounted on the left front end of the processing frame, a connecting column mounted on the inner wall of the rear end of the processing frame, a cylinder mounted on top of the connecting column, an upper mold fixedly connected to the output end of the cylinder, a lower mold mounted on the front end of the processing frame, and a control component mounted on the right outer wall of the processing frame. By integrating forming state acquisition, coupling judgment, real-time adjustment, deviation memory, and progressive pre-compensation modules into the control component, and forming a deeply coupled control execution chain with mechanical components such as the cylinder, mold, guide structure, and fine-tuning installation structure, this integrated design ensures that the input of the control system is entirely derived from real-time feedback of the physical process, and the output directly acts on the power source of the actuator, avoiding the problem of disconnection between control logic and mechanical operating state in traditional devices.

The utility model discloses a wax injection spiral conveying device which comprises a conveying module connected with a wax cylinder, the conveying module is provided with a wax conveying channel, an injection nozzle is arranged at the output end of the wax conveying channel, a feeding screw rod is rotationally arranged in the wax conveying channel, and the feeding screw rod is provided with a feeding hole. The feeding screw is in transmission connection with a driving element used for driving the feeding screw to rotate relative to the wax feeding channel. And when the feeding screw rod rotates relative to the wax feeding channel, wax liquid in the wax feeding channel is pushed to flow towards the nozzle. Under the action of the feeding screw, stable conveying of the wax liquid is guaranteed, and the wax injection amount can be adjusted by adjusting the rotating speed of the feeding screw.

The invention discloses a bridge swivel construction intelligent control system based on a pull rope displacement meter, and relates to the technical field of bridge swivel construction. The system is composed of a rotating hinge module, a measurement control module and a traction module, the rotating hinge module provides rotating body support, the measurement control module comprises a pull rope displacement meter and an intelligent neural network training base station center, the pull rope displacement meter is arranged along the tangent line of a rotating disc to collect displacement signals, and the base station center generates optimized equivalent factors through a BP neural network and a fuzzy logic composite algorithm; a PID controller is combined to output an instruction; the traction module adjusts tension through a tensioning jack and an electromagnetic actuator. The system constructs a'measurement-calculation-control-execution 'closed-loop feedback mechanism, realizes high-precision monitoring through a displacement-angular velocity conversion model, and dynamically suppresses rotation shaking. The system overcomes the defects of lagging, insufficient precision and the like of traditional measurement, improves rotation smoothness and construction safety, and meets the high-precision control requirement of large-span bridge rotation.