6results about How to "Real-time adjustability" patented technology

The application is a kind of method for remotely guiding infrared observation equipment to observe target, belonging to the technical field of remote guidance, which comprises the following steps: a remote control terminal locates the observation target and obtains target position information, and then wirelessly transmits the target information to first, second and third infrared observation equipment; the remote control terminal estimates the optimal observation distance based on the estimated size of the target and the field of view angle and resolution of the first infrared observation equipment; the remote control terminal guides the first, second and third infrared observation equipment to move to the optimal observation distance from the target position and to the positions of the three apexes of the inscribed regular hexagon in the circle for cooperative target observation; the remote control terminal remotely controls the real-time adjustment of the direction, position and focal length of each infrared observation equipment based on the video stream images returned by the first, second and third infrared observation equipment. The application is used to remotely and real-timely guide infrared observation equipment to observe the specified target.

This disclosure relates to a method, apparatus, electronic device, and computer program product for generating two-dimensional animation, belonging to the field of animation production technology. The method includes: determining target art material, the target art material including a target object; obtaining a motion path set for the target object, wherein the motion path is used to represent the motion trajectory of the target object in the two-dimensional animation to be generated; determining multiple control points set for the target object and binding the control points to the motion path; and controlling the control points to move along the motion path based on motion parameters set for the target object, to generate a two-dimensional motion animation of the target object along the motion path. This disclosure provides an efficient, accurate, and easy-to-operate animation generation scheme through automated control point binding and motion control, greatly simplifying the animation production process and applicable to complex deformation scenes.

This utility model relates to the field of honeycomb glass manufacturing technology, and more particularly to a honeycomb-shaped glass, comprising: a glass substrate having a first end face and a second end face opposite to each other, with a plurality of honeycomb microporous units disposed between the first end face and the second end face, each honeycomb microporous unit including an inlet hole and an outlet hole respectively located on the first end face and the second end face, and the inlet hole and the outlet hole being connected by a guide channel; a plurality of liquid storage unit cavities are arranged at intervals along the vertical direction in the guide channel, and adjacent liquid storage unit cavities are connected by a plurality of horizontally arranged airflow unit channels; this honeycomb-shaped glass can realize dynamic release and storage balance of liquid, solving the problems of weak liquid storage function and insufficient airflow control capability of traditional honeycomb structures, and also allows for intuitive observation of the internal gas-liquid flow state, facilitating real-time monitoring and adjustment, and has broad application prospects in the fields of microfluidic control.

The utility model relates to a liquid injection amount adjusting device and a battery liquid injection amount correcting device. The injection amount adjustment device (100) includes: a servo adjustment mechanism (25); the liquid injection pump (30) is electrically connected with the servo adjusting mechanism (25); a weighing meter (50); an analog input / output module (70); the analog quantity input and output module (70) is used for receiving a liquid injection quantity measurement value from the metering and weighing instrument (50) and converting the measurement value into electric signal information; the PLC control module (80) is configured to receive the electric signal information from the analog input / output module (70) and compare the electric signal information with a set target value to generate a control instruction, and the servo adjustment mechanism (25) is configured to receive the control instruction from the PLC control module (80) and adjust the liquid injection amount of the liquid injection pump (30).

The present application relates to a kind of carbon nanotube-Fe base hydrogen production electrocatalyst and application, belong to water electrolysis hydrogen production technical field.The present application is mainly realized by the following steps: one, current collector surface pretreatment;Two, solvothermal synthesis Fe base precursor;Three, in situ preparation carbon nanotube-Fe base electrocatalyst under chemical vapor deposition;Four, electrochemical in situ activation.The present application proposes carbon nanotube-Fe base composite electrocatalytic structure in situ construction on the surface of conductive current collector for the first time.Under the synergistic effect of each parameter in preparation process, the obtained structure not only can give full play to the conductive and structural advantages of carbon nanotube, but also can regulate the electronic structure of Fe base active site through interface coupling effect, so as to significantly improve the performance of water electrolysis hydrogen production.Compared with prior art, in situ preparation electrocatalyst is in situ bonded with current collector and has good dispersibility, and carbon nanotube-Fe base electrocatalyst is conducive to forming conductive network and improving electrocatalytic efficiency.

The invention relates to the technical field of natural language processing knowledge maps, and discloses a natural language processing method based on a learning auxiliary knowledge map. According to the method, scene analysis is carried out on to-be-processed language data to generate original semantic activeness data, the original semantic activeness data is mapped to a knowledge field intensity model, and real-time knowledge concentration is obtained through calculation. According to a comparison result of the concentration and a threshold value, a graph dynamic evolution instruction is generated, a semantic disturbance channel is activated, and a semantic disturbance vector is injected into the knowledge graph. Then cognitive inertia evaluation is started, the knowledge graph is reconstructed according to the graph structure compensation amount obtained through evaluation, and a compensated knowledge graph is formed. And performing semantic disambiguation and association reasoning in the dynamically optimized map, and outputting a language processing result. According to the method, knowledge concentration quantitative perception and a disturbance-based dynamic reconstruction mechanism are introduced, so that the knowledge graph can be self-evolved in real time in the processing process, and the understanding and reasoning precision of complex and dynamic semantics is improved.