7results about How to "Reduce alignment" patented technology

This invention relates to a gear welding device and method for a press, belonging to the field of press manufacturing. The technical solution is as follows: A gear welding device for a press includes a work platform with a ground rail. A transfer trolley is movably mounted on the ground rail to carry the gear to be welded. Positioners are mounted on both sides of the ground rail, each equipped with a rotatable gripper. A gantry frame is also mounted on the work platform, spanning the ground rail. A welding robot is movably mounted on the gantry frame, its movement direction being horizontal and perpendicular to the ground rail. The welding robot is equipped with a machine vision module. This solution, through the positioner grippers, can precisely achieve 180° rotation of the gear, providing a stable posture adjustment basis for double-sided welding. The welding robot, combined with the machine vision module, enables automated and high-precision acquisition of weld information, providing data support for intelligent welding path planning.

The utility model relates to electric motor car controller technical field especially relates to a high performance controller device for electric motor car, including base, the upper portion of base has the open mouth, there is electrical element for controlling electric motor car motor in the base, be provided with the upper cover on the open mouth, the wiring post is integrally injection molded on the upper cover, and the wiring post is electrically connected with electrical element, and the base is fixedly connected with the upper cover through the wiring post, through above technical scheme, the utility model solves the problem that the current controller device structure is not enough simple, manual assembly is complicated and cost is high.

The invention provides an end-side cloud collaborative big data analysis method and system, and the method comprises the steps: employing the hierarchical retrieval under end-side cloud collaboration, determining a retrieval starting level based on a deployment and control target type and retrieval task timeliness, and triggering continuous retrieval according to a preset collaborative strategy: carrying out the matching of an associated camera range according to the deployment and control target type and an incident site; in the terminal layer retrieval, each associated camera performs deployment and control target retrieval on historical feature data in a local short-term time window, and triggers edge layer retrieval when the historical feature data are not hit; according to edge layer retrieval, an edge box calls historical feature data in a middle-term time window uploaded by all associated cameras in an area, deploy and control target retrieval is carried out, and cloud layer retrieval is triggered when a target is not hit; and in the cloud layer retrieval, a cloud server screens feature data in a long-term window of a retrieval area from a cloud database according to a retrieval task and performs deployment and control target retrieval. The problems of high transmission pressure, low retrieval efficiency, resource waste and the like are solved.

The present application is applicable to the field of audio synthesis technology, and provides an audio synthesis method, device and terminal device based on duration information, the method comprising: obtaining text data, inputting the text data into a pre-trained duration model for processing, obtaining a mapping relationship between the text data and acoustic feature information, inputting the text data and the mapping relationship into a pre-trained acoustic model for processing, and obtaining audio data. The text data is feature extracted through the duration model, the duration information of the text data is determined, and the mapping relationship between the text data and the corresponding acoustic feature information is determined based on the duration information, so as to obtain audio data corresponding to the text data based on the acoustic model, and provide a strong supervision signal for the alignment processing of the text data and the speech data, significantly reduce the alignment problem in speech synthesis, and output audio data that is completely close to the human voice and has a better rhythm.

The invention provides a short-term wind power prediction method and system based on dynamic delay and hierarchical federated learning, and relates to the technical field of wind power prediction, and the method comprises the steps: firstly, dynamically adjusting the historical wind power data timestamps of each surrounding wind power plant and a target newly-built wind power plant; performing empirical mode decomposition, obtaining a component frequency spectrum through frequency spectrum analysis, and optimizing the component frequency spectrum to obtain an optimized frequency spectrum component; the method comprises the steps of constructing a feature matrix, carrying out multi-scale clustering on the feature matrix, obtaining multi-channel spectrum component features, improving the data processing effect, capturing more frequency features, and improving the stability and accuracy of a prediction model. Multi-channel features are input into a self-attention wind power prediction model, and the model is trained through hierarchical federated learning, so that effective combination of personalized models and global models of a target wind power plant and surrounding wind power plants is ensured, data privacy protection is improved, adaptability to a newly-built wind power plant is improved, and wind power prediction efficiency is improved. And the wind power prediction precision is improved.