23results about How to "Ensure data security" patented technology

The invention discloses a discrete manufacturing multi-view BOM dynamic derivation method and system based on a tree-shaped network structure, and belongs to the technical field of intelligent manufacturing and product data management. The method comprises the following steps: constructing a tree body as a single product data source, and storing a hierarchical relationship, attribute definition and engineering semantics of a product in a tree structure; based on the tree body, dynamically matching derivation rules through a mesh mapping relation library; executing rule matching, semantic verification, structure reconstruction and dictionary verification by utilizing a dynamic view derivation engine to generate a target BOM view; semantic constraint and verification are carried out on the derivation process through a BOM data dictionary module; and realizing access control and audit based on role, scene and data sensitivity through the security and authority control module. According to the method, a new generation of xBOM dynamic derivation architecture which takes a tree form as an ontology, takes a net form as mapping, is configurable in rule and is strong in data specification is constructed; the fundamental problem of discrete manufacturing multi-view BOM management is solved, and engineering rationality and service flexibility are both achieved.

The invention relates to the technical field of high-voltage dry-type reactive power compensation, and discloses an underground mining high-voltage dry-type reactive power compensation device. Comprising a dry-type iron core filter reactor module, a high-voltage self-healing parallel capacitor module, an intelligent measurement and control protection integrated module, a heat dissipation dustproof adaptive adjustment module, a high-voltage insulation wiring terminal group, a fault positioning and early warning module and a remote monitoring communication module. All the modules are integrated into a whole through modular design. According to the invention, a modular integrated design is adopted, each functional module is uniformly arranged in the mining explosion-proof shell to form a uniform grounding loop, the shell meets the explosion-proof standard, the protection grade reaches IP65, and the high-grade insulation design of each module is matched, so that the underground high-dust, high-humidity and explosive environment is effectively adapted; the problems that a traditional device is large in potential safety hazard and poor in adaptability are thoroughly solved, and the safety and reliability of the device are remarkably improved.

The embodiment of the present disclosure provides a file security acquisition method, device, medium and electronic equipment, and relates to the technical field of data processing. The method comprises the following steps: obtaining a model training request about a preset task initiated by a requestor for a to-be-trained model, the model training request carrying a training configuration parameter, verifying the model training request, confirming a container group and a resource access key corresponding to the training configuration parameter after the verification is passed, and allocating computing resource and data resource required by the container group; and accessing training corpus in the data resource according to the resource access key in the container group, so as to train the to-be-trained model according to the computing resource and the training corpus. The file security acquisition method adopted by the present disclosure controls the access authority of data through the resource access key, so that the model training is carried out under the condition of ensuring data security, the risk of data and privacy leakage is reduced, and the effect of model training is improved.

The embodiment of the invention discloses a data transmission method and device based on a longitudinal encryption authentication device and a readable medium. A specific embodiment of the method comprises the following steps: carrying out dynamic identity confirmation on a target substation; generating a data transmission tunnel and transmission configuration information; carrying out data packet grouping on to-be-transmitted data packets in the to-be-transmitted data packet sequence; generating an identity verification label corresponding to the to-be-transmitted data packet group; according to the data security configuration information and the longitudinal encryption authentication device, performing data encryption on a data load in a to-be-transmitted data packet in the to-be-transmitted data packet sequence and the obtained identity verification tag sequence; and transmitting the encrypted data packet sequence to the target substation through the data master transmission tunnel, and transmitting the encrypted identity verification tag sequence to the target substation through the data slave transmission tunnel. According to the implementation, the data transmission logic is optimized, the data delay is reduced, and the data security of the data related to the power system in the data transmission process is ensured.

This invention discloses a multi-agent air-to-ground network resource allocation method based on federated learning. In the air-to-ground network, the ground network constitutes high-data-rate V2I links; the air network constitutes V2U links for direct communication with ground vehicles; the V2U links share the spectrum resources of the V2I links and use hybrid spectrum access technology for transmission; a network resource allocation system model consisting of M pairs of V2I links and K pairs of V2U links is constructed; a multi-agent resource allocation method is adopted, and a deep reinforcement learning model is constructed with the goal of minimizing the total transmission delay of the V2I link channels; federated learning is used to optimize the deep reinforcement learning model; during the execution phase, the V2U links obtain their current state based on observations, and the optimal resource allocation strategy is obtained using the trained model. This invention exhibits good stability in highly dynamic air-to-ground networks.

This invention relates to the field of electric vehicle charging technology, and discloses a method and system for optimizing charging fees for charging piles based on dynamic rates. The method includes: collecting multi-dimensional feature data and user charging data, performing preprocessing and feature extraction; constructing and training a charging demand prediction model to predict charging demand in real time; constructing a price response model and combining it with a charging load prediction curve for dynamic rate optimization; performing user cluster analysis and designing personalized incentive strategies; setting rate information release rules and dynamically scheduling charging resources; collecting operational data and user response data in real time, and optimizing the charging demand prediction model and price response model based on the charging load prediction curve; and performing data encryption and privacy protection. This invention, through a personalized incentive mechanism, formulates differentiated incentive strategies for three types of users: price-sensitive, time-sensitive, and convenience-first.

The application provides a server cluster hard disk fault processing method and device, electronic equipment and a storage medium, and the method comprises the following steps: obtaining fault warning information of a server cluster hard disk; calling running data of the server cluster hard disk; determining the type of the server cluster hard disk fault based on the running data of the server cluster hard disk; when the type of the server cluster hard disk fault is an unavailable alarm, triggering a matched hardware-free fault detection process, and obtaining a detection result of the hardware-free fault detection process; and repairing the server cluster hard disk fault based on the detection result of the hardware-free fault detection process. The application can automatically detect the fault type of the server cluster hard disk, repair the server cluster hard disk fault, reduce the replacement rate of the server cluster hard disk, reduce the operation cost of the server cluster system, improve the efficiency of server cluster hard disk maintenance, ensure the data security of the server cluster user, and improve the user experience.

The application discloses a hard disk fault detection method, device and equipment and a medium, and relates to the field of hard disk detection.The method comprises the following steps: acquiring real-time vibration data and real-time noise data of a hard disk in operation; performing feature extraction and fusion on the real-time vibration data and the real-time noise data to obtain fused features; performing feature extraction on the real-time vibration data by using target statistical features to obtain statistical feature values; performing multi-layer wavelet analysis on the real-time noise data, and performing statistical analysis on the obtained wavelet coefficients to obtain a skewness value; splicing the fused features, the statistical feature values and the skewness value, and inputting the spliced features into a pre-trained long short-term memory network for multi-classification fault detection to determine the working state of the hard disk.The application can detect the hard disk fault at any time, realize early warning of the hard disk fault, ensure the real-time performance and accuracy of the hard disk fault detection, and ensure the data safety of a storage server with the hard disk as a main component.

The invention discloses a bare metal data management method and device, electronic equipment and a medium, and relates to the field of data processing. The method comprises the following steps: collecting system monitoring indexes, wherein the monitoring indexes comprise behavior data generated when a user operates a bare metal server and response information of the bare metal server to the behavior data of the user; based on an inference engine of an expert system, performing inference analysis on the monitoring indexes to evaluate a behavior risk level of operating the bare metal server by the user; and when the behavior risk level of the user is evaluated to be higher than or equal to a specified level, generating and outputting alarm information. According to the method, user behaviors and the response process of the bare metal server are continuously observed through the expert system, the risk level of the observed behaviors is evaluated, abnormal conditions are found in time, an alarm is given, and therefore the data security of the bare metal server is ensured.

The invention relates to the technical field of financial science and technology and data processing, and discloses an intelligent marketing service method and system based on customer tags, and the method comprises the following steps: obtaining customer tag data, and building a mapping relation among activities, customer groups and customer identifiers; the open interface receives a qualification query request of an external platform, verifies customer qualification based on the mapping relation and feeds back a state code on the premise of not exporting customer detail data; dynamic service staff routing calculation is executed, a manager is matched preferentially, a target website manager is determined by calculating the asset weight of a client at each website when no manager exists, and service staff information is fed back; and finally, performing stock verification and flow recording of right receiving. Through a data interaction mechanism in a physical isolation environment and an asset attribution-based addressing algorithm, the online marketing flow is accurately routed to the most suitable offline service personnel while the data privacy security is ensured, and the closed-loop management of the marketing service is completed.

The application discloses a private cloud device control method and domain, computer equipment and readable storage medium, relates to the cloud computing technical field, and is used for controlling the private cloud device to join the group formed by the private cloud device or accessing the group that the private cloud device has joined, and comprises the following steps: two or more than two controlled private cloud devices log in the respective private cloud accounts, select any one device as the master control device, the account is used as the master control account, and the controlled private cloud devices form a domain; the master control device sends the master control account to other private cloud devices; other private cloud devices in the domain join other groups formed by the private cloud devices through the master control account, or the private cloud devices that have joined the group formed by the private cloud devices proxy other private cloud devices to access the group formed by the private cloud devices. It does not need third-party authentication, and the original private cloud login account is not covered.

The application provides an Internet of Things-based terminal device interaction management method and system, which identifies a terminal device outside an Internet of Things after the terminal device requests to connect to the Internet of Things, allocates a time-limited key to the terminal device outside the Internet of Things, controls the time when the terminal device outside the Internet of Things accesses the Internet of Things, and ensures that the terminal device inside the Internet of Things can connect to the terminal device outside the Internet of Things only when the terminal device inside the Internet of Things is in an idle state. Meanwhile, after the terminal device inside the Internet of Things connects to the terminal device outside the Internet of Things, the terminal device inside the Internet of Things can adapt to the connection state of the terminal device inside the Internet of Things, avoid interference of the terminal device outside the Internet of Things on the Internet of Things, and ensure the data security of the Internet of Things.

This invention relates to the fields of computer vision and artificial intelligence, specifically to a knowledge-guided meter reading method and system based on a large visual language model. The method includes: a template acquisition step: acquiring a meter image and retrieving a structured reading prompt template containing metadata and inference logic instructions based on the type; a multimodal input step: inputting the image and template as multimodal data into a large visual language model; an inference generation step: extracting visual features and aligning them with the template's attention, executing thought chain inference in response to instructions, and generating a natural language description result containing intermediate inference evidence; and a parsing output step: performing structured parsing on the result and extracting meter reading values ​​that conform to format constraints. This invention achieves a deep integration of business logic and visual perception, establishes human-computer trust, and avoids logical fallacies inherent in purely visual models.

The invention provides an unmanned aerial vehicle cluster networking communication system and method, and belongs to the technical field of unmanned aerial vehicle communication. Comprising at least one main control unmanned aerial vehicle, and the main control unmanned aerial vehicle is provided with a first communication module, a first positioning module, a first data processing module and a dynamic network management module. Each slave unmanned aerial vehicle is provided with a second communication module, a second positioning module and a second data processing module; the relay unmanned aerial vehicle is provided with a third communication module and a signal enhancement module; and the ground control center is connected with the main control unmanned aerial vehicle through wireless communication. Network topology can be dynamically adjusted according to position changes, communication quality parameters and task requirements of the unmanned aerial vehicles, multi-band communication switching is supported, data security is guaranteed by adopting dynamic key encryption, a perfect fault processing mechanism is provided, and high efficiency, stability and security of unmanned aerial vehicle cluster communication are ensured.

The present disclosure provides an external link generation method, device, equipment and storage medium, which can be applied to the technical field of webpage processing. The method comprises: performing parsing processing on an external link generation request forwarded by a proxy server by a configuration server to obtain an original file; performing modification processing on the original file by the configuration server to obtain a webpage file; storing the webpage file from the configuration server in a preset static webpage file directory by the proxy server and generating an external link; and returning the external link to a front end by the proxy server. The storage of the external link reduces the storage of the original file; the webpage file is placed in the proxy server to ensure security; different servers perform their respective server logic, which also speeds up the external link generation efficiency in the face of massive content.

The application discloses a kind of based on SATA encryption bridge implementation control SSD partition hiding method, belong to SSD reading and writing technical field, the method is used for data reading and writing system, the data reading and writing system includes PC, SATA encryption bridge and SSD, the PC is connected the SSD by the SATA encryption bridge, the method includes: step 1: receiving the configuration information sent by PC, the configuration information includes the logical offset address of hidden partition, hidden area space size, hidden area user password and first encryption key;Step 2: according to the configuration information, set hidden partition in the SSD.This application based on SATA encryption bridge implementation control SSD partition hiding method, the configuration of visible partition and hidden partition is realized to SSD, effectively guarantee the security of data storage, reduce the possibility of sensitive data leakage;Hidden partition increases the setting of user password, can effectively prevent illegal user operation and cause data loss.

The application provides a data distribution method and device and a data receiving method, and relates to the technical field of big data. The method comprises the following steps: reading data required by at least one client from a database according to a preset data preprocessing timing task, preprocessing the data required by each client, and obtaining the processed data of each client after preprocessing. The data preprocessing timing task is used to instruct the server to extract data and perform preprocessing at regular intervals. According to a preset encryption algorithm, the processed data of each client is encrypted to obtain encrypted data of each client, and the encrypted data is cached in a local cache space. In response to a data download request initiated by any one or more clients, the corresponding encrypted data is extracted from the local cache space, and the encrypted data is distributed to the client. The method can effectively solve the problem of low transaction efficiency or slow application response caused by the client pulling data from the server multiple times.

The application discloses a data authority management method and device based on employee functions, and the method comprises the following steps: acquiring function information of an employee, wherein the function information comprises a plurality of function attributes; constructing a plurality of attribute columns based on the function information, wherein each attribute column corresponds to one function attribute; searching for attribute field data corresponding to each attribute column, and adding the attribute field data to the attribute column; and assigning operation authority to the attribute column according to the importance level of the attribute field data and the employee level of the employee. According to the function information of the employee, the operation authority of the employee to the data can be determined, the data in the enterprise is divided and isolated according to the personal function of the employee, the different data can be conveniently used by each employee under the condition of ensuring the safety of the enterprise data, and the operation efficiency in the enterprise is improved.

The invention discloses a power grid video monitoring system data transmission method and device based on an anti-quantum cryptography technology, electronic equipment and a storage medium, and belongs to the technical field of data encryption, and the method comprises the steps: matching an anti-quantum signature public key corresponding to an equipment terminal, and carrying out the signature verification of a connection request; when the connection request signature verification is passed, matching an anti-quantum handshake protocol public key corresponding to the equipment terminal, and generating a corresponding ciphertext and a temporary symmetric session key according to the anti-quantum handshake protocol public key and the random message; sending the ciphertext to the equipment terminal, and deriving the temporary symmetric session key to obtain a corresponding data encryption key and a message authentication key when the equipment terminal is successfully unpacked; the handshake confirmation information sent by the equipment terminal is decrypted and subjected to integrity verification, and data transmission is performed after the integrity verification is passed, so that the problem that data transmission in the prior art is lack of a bidirectional identity authentication link can be solved.

The application discloses a device label recognition method and device based on sequence characteristics and electronic equipment, the method comprises the following steps: obtaining the application sequence and device characteristics of the target device respectively; inputting the application sequence into a sequence model to obtain first features; inputting the device characteristics into a second embedding layer to obtain a second embedding vector; inputting the first features and the second embedding vector into an attention layer to obtain context features; splicing the context features and the second embedding vector to obtain spliced features; and identifying the target label of the target device based on the spliced features. The application takes the application sequence as dynamic characteristics and takes the device characteristics as static characteristics; the sequence model, the second embedding layer, the attention layer and the splicing layer are used to analyze the dynamic characteristics and the static characteristics to obtain spliced features containing the timing change information and the attribute information of the hidden application behavior; the spliced features are used to mine and identify the device label, improve the accuracy of label recognition, improve the user experience and ensure the platform data security.

Embodiments of the present application provide an application processing method, an electronic device, a storage medium and a computer program product. In the embodiments of the present application, a mechanism for converting a complex workflow into a content generation application is provided. In this way, a user can try the content generation function of the content generation platform without building a workflow, the use threshold of the content generation platform is lowered, the operation process of the user trying the content generation technology is simplified, the try experience is improved, the user is helped to try the content generation technology at a low threshold, and the conversion efficiency from the pre-sale intention of the user to the payment is improved. In addition, the user does not need to be provided with a complete workflow file for trying the content generation function of the content generation platform, the data leakage risk is reduced, the data security of the content generation platform is ensured, and the diversified needs of the user in the content generation application are met.

The invention discloses a data security protection method and system, electronic equipment and a readable storage medium. The data security protection method comprises the following steps: performing first bidirectional credible authentication with a key management service; after the first two-way trusted authentication is passed, a first key is obtained from a key management service, and the first key corresponds to the first service; and performing encryption and decryption processing on the communication data of the first service based on the first key. According to the method provided by the embodiment of the invention, the communication data of the service is encrypted and decrypted based on the key obtained through the bidirectional credible authentication in the credible execution environment, so that the secure distribution of the key can be ensured, the confidentiality of the key and the credibility of the encryption and decryption environment can be ensured, and the full-link data security of the network service and the cloud service can be further ensured. Especially under the inference service scene which is widely applied nowadays and based on an artificial intelligence model, the data security of the whole link of the inference service can be ensured.

The invention provides a permission access control method and device, and relates to the technical field of permission control. The method comprises the following steps: acquiring a target role tag of a target user in a process that the target user accesses a system; the system is one of external systems accessed by the target user; determining a target permission point label corresponding to the target role label according to a preset label mapping relation; wherein the preset label mapping relationship comprises a mapping relationship between a preset role label and a preset permission point label; and performing permission access control on the system accessed by the target user according to a target permission point corresponding to the target permission point label. The device executes the method. According to the permission access control method and device provided by the embodiment of the invention, the permission configuration work can be simplified, the working efficiency is improved, and the enterprise data security is ensured.