16results about How to "Improve update process" patented technology

The embodiment of the invention provides a code generation method and device, electronic equipment and a medium. The code generation method specifically comprises the steps that a design image corresponding to a user interface is received; determining a description text corresponding to the design image; fusing the description text with a prompt text for generating a front-end code to obtain a fused prompt text; and inputting the fused prompt text into a large language model, and outputting a target front-end code corresponding to the user interface by the large language model. According to the embodiment of the invention, the efficiency of front-end development can be greatly improved, the labor cost of code writing by developers can be greatly reduced, and the threshold of front-end development can be reduced.

The invention relates to the technical field of databases, and particularly provides a time series data indexing method and device.An index entry of a time series data indexing structure comprises all data position statistical information in an interval range, and the content comprises the first time TS of the interval range; (2) the logic offset P of the first record in the storage in the interval range; (3) recording the number C of data in the interval; (4) an average time interval I of data in the interval; the end time TE of the interval range is obtained according to (TS + (C-1) * I), so that storage is not needed. Compared with the prior art, the method has the advantages that the storage space of the index can be reduced, and the data writing, searching, updating and deleting efficiency of the index can be improved.

The invention discloses an option detection method and device for a basic input and output system, equipment and a medium in the technical field of computers. According to the method, the BIOS option baseline file is determined, baseline export does not need to be carried out in subsequent testing and function verification stages, and the BIOS version updating process is simplified; moreover, the BIOS option baseline file is automatically determined based on the basic input and output system code, manual operation of related personnel is not needed, the error rate and the BIOS development period can be reduced, and the BIOS version updating and online efficiency can be improved.

The present application proposes a method and device for determining labels of text data. The method includes acquiring text data, extracting text features of the text data, determining at least one label of the text data based on the text features and a multi-label set, wherein the multi-label set includes a regular label set, a long-tail label set, and an unknown label set, and adjusting the multi-label set based on the determined labels of the text data. The solution of the present application can effectively improve the speed, efficiency, and accuracy of multi-label determination of text data in a conversation and reduce costs, accurately extract and update the connection between different labels to reflect the customer's conversation intention.

The present invention relates to an electric horn using a mems mic as a driving circuit and a sound control method. At present, conventional electric horns use a 555 timer or IC to generate a frequency signal to drive a MOS tube to generate an induced electromotive force to make the horn sound. The manufacturing cost is high, the volume is large, and the reliability is low. The present invention comprises: a diaphragm (12), the diaphragm is pressed and fixed to the outer stop of a housing seat (2) through a gland (11), a coil frame (3) is provided between the diaphragm and the housing seat, the coil frame is fixed to the inner bottom of the housing seat, a controller (5) and a terminal (4) are respectively installed on the side surface of the coil frame, the terminal is connected to the wiring harness on the vehicle, a connecting stud (13) is fixed to the lower center of the housing seat, the external thread of the connecting stud passes through the housing seat and is fixed to the vehicle body steel frame, and a horn housing (1) is fixed to the upper part of the housing seat. The present invention is used as an electric horn for motor vehicles.

This invention discloses a fluid flow drag-reducing electrolyzer, comprising an electrolyzer frame and two electrodes, two guide plates, and a diaphragm installed and tightly fitted together within the frame. The electrolyzer frame has an inlet at its bottom and an outlet at its top. The two electrodes are symmetrically distributed on both sides of the diaphragm; each electrode is flattened by rolling. The two guide plates are symmetrically distributed on both sides of the diaphragm and located outside the corresponding electrodes. Each guide plate has multiple guide grooves arranged radially along its diagonal and parallel lines near the corresponding electrode. By optimizing the electrode thickness and its internal fluid channel design, this invention reduces the flow resistance of the electrolyte in the electrode region, improves electrolyte renewal efficiency, and enhances the overall operating performance of the electrolyzer.

The application provides an automatic construction and updating method of an industrial manufacturing field large model knowledge base, and belongs to the technical field of industrial artificial intelligence. The application automatically extracts time-overlapping scheduling instance pairs from a task arrangement system scheduling log, and requires that the tool wear segment coding sequences of the two instances in the entire overlapping period are completely consistent, thereby fundamentally avoiding parallel operation mis-matching caused by tool life segment changes, and significantly improving the physical equivalence and reliability of the candidate parallel operation mode. Meanwhile, the rule conflict detection is performed by fusing metadata labels and blood relationship attributes of upstream source entries, so as to identify task source priority, trigger type and other deep business semantic conflicts that cannot be found by traditional methods based on equipment or time dimensions, thereby greatly improving the safety and process compliance of the knowledge base storage content.

The present application discloses a management method and device for electronic devices, belonging to the field of electronic technology. The method is used for a management device, and the management device is used to manage electronic devices with information recorded in a device management platform, and the method includes: obtaining firmware information of the target electronic device to be managed, and the firmware information includes version information of the firmware program; when it is determined based on the firmware information that there is an updated version of the firmware program of the target electronic device, the firmware program is updated based on the updated version; the information of the target electronic device after the firmware program is updated is recorded in the device management platform to manage the target electronic device. The present application pre-updates the firmware program of the target electronic device, solving the problem that the management effect of the management device on the electronic device is poor and the use effect of the electronic device is also poor. The present application is used to manage electronic devices.

The invention discloses a causal federation element reinforcement learning intelligent decision-making method and system for people-benefiting insurance claim settlement, and relates to the field of insurance intelligent claim settlement, and the method comprises the steps: building and adaptively generating a regional causal knowledge graph based on a multi-dimensional policy text; a causal federation element reinforcement learning framework is adopted, through element strategy network initialization, and federation learning is utilized to carry out fine adjustment on small samples in an encryption mode on the premise that data does not go out of a domain, so that local intention recognition model adaptation is realized; according to the claim consultation text of the user, performing intention recognition in combination with neural symbol double-track reasoning and knowledge graph causal chain matching; and training the decision tree, and generating a visual report through anti-factual reasoning to assist in decision making. According to the method, the user intention recognition accuracy and the rule interpretability are enhanced, the response adaptation efficiency of policy dynamic updating is improved, privacy is guaranteed on the premise that data are not out of a domain, small sample learning is achieved, then the people-benefiting insurance claim settlement processing efficiency and the customer satisfaction degree are optimized, and the operation cost is reduced.

The utility model relates to a shaver capable of preventing mistaken touch starting with a micro-current function, which comprises a head cover assembly and a machine body assembly, the head cover assembly and the machine body assembly can be disassembled and assembled, the head cover assembly is provided with a first electrode and a second electrode which are used for being attached to the face, and the first electrode and the second electrode are arranged on the machine body assembly. A first conductive needle and a second conductive needle are arranged on the shaver body assembly, the first electrode and the second electrode are in contact conduction with the first conductive needle and the second conductive needle respectively, and the first electrode and the second electrode are in contact with the face at the same time to start the shaver. When the head cover assembly is attached to the face, the shaver can be normally triggered when the face makes contact with the two electrodes at the same time, in addition, during shaving, the first electrode and the second electrode release micro-current at the same time, the micro-current can stimulate skin muscles, accelerate renewal and metabolism of the skin, increase the elasticity of the skin and improve the symptoms of relaxation or sagging, and the purposes of maintaining beauty and keeping young are achieved.

The present invention discloses a multi-agent traffic simulation data storage and update method, including: establishing corresponding vehicle agents for all vehicles; constructing a simulation space graph, each vehicle agent corresponds to a node in the simulation space graph; determining the connection correspondence between nodes, and completing the edge definition of the simulation space graph; combining the vehicle attribute information, vehicle following decision-making ability and vehicle lane-changing decision-making ability of each vehicle agent, using a depth-first algorithm to update the state of the vehicle agent corresponding to each node on the simulation space graph, and then updating the node corresponding to the connection edge of each node on the simulation space graph based on the vehicle agent position after the state update, to achieve data update of the simulation space graph until the simulation time ends. The present invention avoids the process of repeated reading during the state update process, thereby accelerating the storage and update of micro-simulation states from the perspective of data structure, and improving the operation efficiency of micro-simulation.

The invention relates to the technical field of copper wire annealing, and discloses anti-oxidation intelligent copper wire annealing equipment and an annealing process thereof.The anti-oxidation intelligent copper wire annealing equipment comprises a tubular annealing device, the outer surface of the tubular annealing device fixedly communicates with a forming bin, an air pump is installed at the top of the forming bin, and a heating unit is arranged on the outer surface of the tubular annealing device; a turning and wrapping assembly used for preventing the copper wire from being oxidized is arranged in the forming bin, through rotation of a first shearing plate and a hollow ring, inert gas can form a tight annular structure fluid, the surface of the copper wire is tightly and evenly wrapped with the fluid, a barrier is formed, contact of external oxygen is effectively isolated, and therefore the risk of oxidation reaction is reduced, and the service life of the copper wire is prolonged. In addition, due to the natural overturning characteristic of the fluid of the annular structure under rotation of the first shearing plate, mixing and updating in the gas are promoted, the inreactivity between oxygen and inert gas is utilized, a trace amount of oxygen is gradually pushed to the outer side of the annular structure, and stable maintenance of the oxygen-free environment is further ensured.

The invention relates to the technical field of hard alloy column tooth passivation, and particularly discloses a hard alloy column tooth passivation machine tool which comprises a frame body, an inner cylinder is rotationally arranged at the upper end of the frame body, a cylinder cover is hinged to the upper end of the inner cylinder, a clamping assembly is arranged on the bottom wall of the inner cylinder, a liquid storage tank is arranged on one side of the frame body, and a water pump is arranged on one side of the liquid storage tank. The water inlet end of the water pump communicates with the liquid storage tank, the water outlet end of the water pump communicates with the middle of the bottom wall of the inner cylinder, and an electrolytic passivation mechanism is arranged on the inner bottom wall of the inner cylinder; the cylindrical teeth are placed in the inner cylinder, the clamping assembly can stably clamp the cylindrical teeth, then the cylinder cover is closed, the water pump is started, the water pump on one side of the frame body pumps electrolyte in the liquid storage box into the middle of the bottom wall of the inner cylinder, and at the moment, the electrolytic passivation mechanism can make the polished ends of the cylindrical teeth generate uniform passivation films; and the scraping effect and scraping efficiency of the passivation film are improved, so that the passivation effect of the column teeth is improved, the corrosion resistance of the column teeth is improved, and the service life of the column teeth is prolonged.

This invention discloses a method for dynamic monitoring of forest resources and automatic database updating based on multi-source remote sensing data, belonging to the field of forestry informatization. This method addresses the inconsistencies in resolution, imaging time, and band coverage of multi-source remote sensing data by dynamically generating multi-scale grids to achieve spatial alignment and fusion of data. Utilizing temporal residual discriminative convolutional networks and sparse attention mechanisms, it intelligently detects changes in forest resources, achieving efficient and automatic attribute inversion. The system also includes automatic differential database updates and multi-version management to ensure information synchronization and reliability. Combined with external climate and fire data, it provides alarms for abnormal changes and suggestions for auxiliary intervention, forming an intelligent closed loop from monitoring to management. This method improves the automation, intelligence, and precision of forest resource monitoring and is suitable for large-scale, dynamic forest resource management scenarios.

The present invention relates to the technical field of computer vision tracking, and in particular to a visual target tracking method based on a multi-phase attention mechanism, comprising the following steps: S1: normalizing the input images of the target template and the search area in the twin neural network; S2: inputting the image information into the feature extraction network, and outputting the last three layers of feature blocks of the extracted information; S3: hierarchically inputting the three layers of feature blocks into the dual-stage attention perception network; S4: uniformly adjusting the dimensions of the three feature blocks through multiple convolution operations of the adjustment layer; S5: hierarchically inputting the three feature blocks into the multi-layer context information decoder module; S6: merging and reducing the scale of the output three feature blocks through scale reduction operations respectively; S7: obtaining a response map; S8: obtaining a response map optimized by global perspective; S9: inputting the optimized response map into the classification regression prediction head to obtain a tracking result. The present invention can enhance the accuracy of tracking targets with different levels of features.

The invention discloses a TPM (Trusted Platform Module) external key revocation system based on an MPT (Message Passing Transport) tree. The system comprises a key link part in a TPM, a node transmission part in a TPM software stack, a node processing part of an application layer and a node related file stored externally, the key link is responsible for linking a key newly generated by the TPM to a leaf node of the MPT tree to calculate a hash value of the key and transmitting a related node value to be updated in the MPT tree out of the TPM to store a root node of the MPT tree in the TPM for verifying the validity of the key; the node processing part is responsible for sending out requests of three secret key related operations and carrying out preprocessing; and reading the nodes of the MPT tree from the node related file according to the request and writing the nodes into the node related file. According to the invention, the MPT tree structure is used to realize the revocation of the external key, and the rollback mechanism of the MPT tree is used to effectively guarantee the storage security of the data and the external key.