7results about How to "Centralization" patented technology

A safe and environmentally friendly data management system and method are disclosed, relating to the field of big data governance. The system includes: a server node; a front-end interactive interface, including access points and business directories for multiple ledger modules; a back-end storage architecture, including ledger documents and storage directories; a dynamic indexing engine for establishing a mapping relationship between the front-end interactive interface and the back-end storage architecture; and a heterogeneous integration unit for embedding internal hyperlinks and external URLs pointing to the regulatory platform within the ledger modules. By adopting this solution, multi-format independent ledger units are integrated flatly on the main interface, allowing direct navigation with a click, conforming to the habits of paper-based browsing. It is adaptable to multiple terminals, supports low-threshold deployment and smooth upgrades, and combines compliance management, intelligent retrieval, and cross-departmental collaboration functions. It overcomes the shortcomings of traditional compliance systems, such as cumbersome processes and inefficiency, enabling low-cost implementation, improving data management efficiency and compliance risk control levels, and adapting to the needs of enterprises of different sizes.

The invention discloses a method for filtering webpage access based on a kernel driver, which belongs to the technical field of internet communication and comprises the following steps: step 1, a user inputs an access website for a user browser to generate a DNS (Domain Name Server) query request message; 2, judging whether a DNS query request message exists in a local DNS cache or not, if yes, obtaining an IP address for access, and if not, executing a step 3; and step 3, sending a query request to a DNS server, constructing a complete DNS query request network packet according to a network protocol standard, capturing all DNS query request network packets sent to the 53 port by a kernel driving program, and then analyzing target domain names of the DNS query request network packets through a DNS protocol. Centralized and automatic management and control are achieved, the system is particularly suitable for scenes such as machine rooms and classrooms needing unified network behavior management, and the operation and maintenance cost is greatly reduced.

This application discloses a method, apparatus, device, storage medium, and program product for classifying pathological images, relating to the field of machine learning. The method includes: acquiring sample pathological images from a pathological image database, the sample pathological images being labeled with sample tags; matching the sample tags with corresponding pathological image tag sets in the pathological image database to determine the sample pathological image database; inputting the sample pathological images into a classification model to obtain sample prediction probabilities; determining a loss value based on the sample prediction probabilities and sample tags corresponding to the sample pathological image database, training the classification model to obtain a pathological image classification model, which is used to classify target pathological images to obtain prediction results. Through this approach, the correlation between pathological image databases can be strengthened, achieving better centralized pathological image classification and facilitating better management and use of pathological images. This application can be applied to various scenarios such as cloud technology, artificial intelligence, and intelligent transportation.

The utility model belongs to the field of wearing equipment, disclose a kind of button structure and intelligent wearing equipment, button structure includes button support, pivot and reset piece, button support includes rotating part and pressing part, one end of rotating part is bent and forms snap-fit part, the other end of rotating part is bent and forms annular part, the connecting place of pressing part and rotating part is located between snap-fit part and annular part;Pivot is worn in annular part, and it is used to be fixedly connected with intelligent mainframe;One end of reset piece is used to be connected with intelligent mainframe, and the other end is abutted in rotating part;When pressing pressing part, rotating part is rotated around pivot, so that snap-fit part and buckle are unlocked;When releasing pressing part, rotating part resets under the action of reset piece, so that snap-fit part and buckle are unlocked.The utility model realizes that intelligent mainframe keeps relative fixed state relative to wearing component by button structure, and button structure occupies small space, it is convenient to install and layout in the equipment such as intelligent mainframe.

The invention discloses a control method for multiple refrigerated containers, the multiple refrigerated containers are connected with an intelligent mother cabin through independent power supply interfaces, the intelligent mother cabin is provided with a power supply module for supplying power to the multiple refrigerated containers in a centralized mode, and the control method is executed by the intelligent mother cabin and comprises the steps that the power supply module is controlled to independently supply power to each refrigerated container in real time; receiving real-time operation data of each refrigerating box; based on a preset strategy and the real-time operation data, a corresponding refrigeration control instruction is generated for each refrigerating box; and each refrigeration control instruction is sent to the corresponding refrigeration box so that the refrigeration box can conduct refrigeration according to the refrigeration control instruction.

The invention relates to the technical field of engineering machinery, and provides an aerial work platform and a control method thereof.The aerial work platform comprises a motor, an electronic pump, a valve set, a vehicle control unit and a motor controller, and the vehicle control unit is used for obtaining a user action instruction and the pressure of a pressure signal feedback port of the valve set and judging the action type according to the user action instruction; and the motor controller is used for controlling the displacement of the electronic pump and the rotating speed of the motor according to the output port pressure of the electronic pump, the pressure signal feedback port pressure of the valve group and the action type. The optimal rotating speed and displacement can be matched for the motor and the pump, control signals are completely based on electronic signals, the environment interference resistance is high, the main control mode is integrated in the motor controller, the response is faster, the composite action and the single action are separated, direct flow control is adopted for the single action, the throttling loss is greatly reduced, and the control efficiency is improved. Load sensitivity and displacement control are adopted for composite action, and throttling loss can be reduced under some working conditions.

The invention provides a Bluetooth call audio processing method and device. The method comprises the following steps: receiving original audio data from at least one Bluetooth call device; packaging the original audio data and a corresponding Bluetooth communication equipment type identifier to form an audio data packet; based on a pre-stored Bluetooth call equipment configuration file, corresponding processing configuration information is acquired according to the equipment type identifier in the audio data packet, and the processing configuration information at least comprises an audio format parameter and a processing parameter; according to the processing configuration information, performing standardization processing on the original audio data to generate standard audio data conforming to a unified format; and informing at least one AI application of an application layer of the storage position of the standard audio data. According to the invention, the development complexity and the integration cost of an AI application side are reduced, and the system stability, the processing efficiency and the reliability of the whole voice interaction experience in a multi-model cooperative processing scene are remarkably improved.