5results about How to "Convenient and quick positioning" patented technology

The invention discloses a battery maintenance method based on a dynamic sparse neural network and a large language model, and belongs to the technical field of battery management. The method comprises the following steps: acquiring sensor time sequence data and an operation and maintenance text maintenance log of a battery pack, and respectively carrying out standardized preprocessing on the sensor time sequence data and the operation and maintenance text maintenance log; extracting time domain and frequency domain features of the preprocessed sensor time sequence data to obtain sensor features; carrying out semantic coding on the preprocessed text maintenance log by adopting a large language model subjected to battery domain knowledge fine adjustment to obtain text semantic features; performing feature fusion on the sensor features and the text semantic features based on a cross attention mechanism to generate fusion features; and inputting the fusion features into a dynamic sparse neural network which adaptively adjusts the sparseness of each layer of network according to the real-time health state of the battery, and outputting a battery fault probability and a fault root cause weight.

The embodiment of the invention provides a dynamic visual debugging method and device, a vehicle, a medium and a program product. The method comprises the steps of obtaining an interface description language file corresponding to a to-be-debugged device by responding to access of the to-be-debugged device, the interface description language file comprising at least two types of interface components and definition information of a communication interface; based on the interface description language file, generating and displaying a dynamic debugging page corresponding to the to-be-debugged device; receiving input of to-be-debugged parameters through a debugging parameter configuration component of the dynamic debugging page, generating a debugging instruction based on the to-be-debugged parameters, and sending the debugging instruction to the to-be-debugged equipment through the communication interface, so that the to-be-debugged equipment executes the debugging instruction; and acquiring equipment state data of the to-be-debugged equipment through the communication interface, and updating display content of the debugging result display component based on the equipment state data. According to the method provided by the embodiment of the invention, the debugging efficiency and quality are improved, and meanwhile, the debugging cost is reduced.

This invention relates to the field of aluminum-based composite copper foil production technology, specifically to a tension control method for producing aluminum-based composite copper foil, comprising: a tension unwinding roller, a tension winding roller, and a high-vacuum winding coating equipment body, wherein both the tension unwinding roller and the tension winding roller are internally rotatably connected to the high-vacuum winding coating equipment body. This invention, by setting up components such as a tension control mechanism, and through torque adjustment between the drive source and the reducer, as well as signal feedback connection between the tension sensor and the controller, enables the tension sensor to detect the running tension of the tension unwinding roller and the tension winding roller in real time, and the controller to control the output state of the drive source. This achieves the ability of the device to automatically match closed-loop or open-loop tension control modes according to material specifications, realizing compatible control of precise adjustment at low tension and stable output at high tension, significantly improving the adaptability and efficiency of aluminum-based composite copper foil production.

The invention provides a micro-service architecture system health degree measuring method and system, a storage medium and electronic equipment, and relates to the technical field of software development, computing resources, a database and a system micro-service program are abstracted into nodes, and a graph database is utilized to construct an object relation model; collecting index data of each component through a monitoring tool and storing the index data in a local time sequence database; an alarm threshold reference is predicted based on a correlation analysis algorithm, and automatic tracking of an alarm threshold is realized; defining a system health degree quantitative index set in combination with an alarm threshold dynamic prediction model; and determining a system health degree score by adopting a membership theory-comprehensive evaluation method. According to the invention, the measurement accuracy is improved, the false alarm rate is reduced, and the reliability of the system health degree measurement result is improved.

The invention belongs to the technical field of visual inspection, and particularly relates to a conveyor belt defect visual inspection device and method. The conveyor belt defect visual inspection device comprises a bedplate, a rack, a traction mechanism, a visual mechanism and a stretching mechanism; a pair of racks is arranged, and the tops of the racks are fixedly connected with a track beam; a pair of sliding blocks is connected into the track beam in a sliding mode. A spring is arranged between the sliding block and the track beam; a hydraulic cylinder is fixedly connected to the surface of the rack; and a connecting rod is hinged between the output end of the hydraulic cylinder and the pair of sliding blocks. The hydraulic cylinders push the sliding blocks to slide towards the two sides along the track beam through the connecting rods, the distance between the pair of supporting rollers is gradually increased, the conveying belt is stretched and deformed in the length direction of the conveying belt, the conveying belt is in a tensioned state, the real tensioning working condition of the conveying belt in the using process is fully simulated, potential defects on the surface of the conveying belt are more obviously exposed, and the conveying belt is more stable in performance. Particularly, tiny cracks, wrinkles or delamination and the like can be conveniently and accurately detected and identified by a follow-up visual mechanism.