40results about How to "Ensure data security" patented technology

The present invention discloses a high-precision smart meter for outdoor use, which belongs to the technical field of smart meters. The following scheme is proposed, which includes a smart meter body, heat dissipation structures are arranged on both sides of the smart meter body, an air intake structure is detachably installed on the heat dissipation structure, the smart meter body and the air intake structure can be detachably installed inside the meter box, an adjustment component and a pushing component for driving the adjustment component are arranged inside the air intake structure, and a driving component for adjusting the pushing component is arranged on the smart meter body; by arranging the air intake structure, the adjustment component and the pushing component, if the connecting hole is configured in a ⊥ shape, the external natural wind will be effectively guided to the inside of the wind collecting cover, and then smoothly flow into the inside of the installation shell through the air intake duct and the conduit, so as to implement uniform and effective air cooling and heat dissipation on the side wall of the smart meter body, thereby significantly improving its operating stability and ensuring the high precision of the smart meter body during operation.

The invention relates to the technical field of image processing, and discloses a transparent and restorable face anonymization processing method and system, and the method comprises the steps: obtaining to-be-anonymized original face images, extracting initial identity features from the original face images through a face feature extractor, and generating a group of keys for each original face image; constructing a reversible neural network, inputting the identity features and the secret keys belonging to the same original face image as a group of input data into the reversible neural network, performing affine transformation through the reversible neural network, and finally generating anonymized identity features controlled by the secret keys; and inputting the original face image and the anonymized identity features into a pre-trained generator so as to generate an anonymized face image. According to the method, the application requirements are fully met, and the dual goals of data security and privacy protection are ensured.

The invention relates to the technical field of artificial intelligence, in particular to a voice braking method, which allows a user to customize a braking triggering sound according to personal preference and driving habits, the voice can be a clear voice instruction or a specific voice feature, such as scream or shouting, so that the flexibility and applicability of the method are improved; sound features in emergency situations such as screaming and shouting are deeply analyzed, and a more accurate sound feature model is established; therefore, the method can quickly respond when a driver or a passenger makes an emergency sound characteristic, the emergency braking response time is shortened, the probability and severity of accidents are reduced, and the problem that in the prior art, an emergency braking mode mainly depends on a physical sensor and the operation behavior of the driver, and the safety is poor can be effectively solved. The technical problems that the potential information source, namely the sound characteristics of people in the vehicle, is not fully utilized for braking, so that the information source is limited, and the emergency braking response is lagged are solved.

The invention discloses a data aggregation system, method and device, electronic equipment and a storage medium. The method comprises the steps that an aggregation platform applies for a first symmetric key from a password service platform; encrypting a pre-acquired encryption parameter by using the first symmetric key to obtain first encrypted information; the gateway management equipment applies for a first symmetric key and a second symmetric key; decrypting the first encrypted information by using the first symmetric key to obtain an encryption parameter; encrypting the encryption parameter by using a second symmetric key to obtain second encrypted information; the gateway applies for a second symmetric key; decrypting the second encrypted information by using the second symmetric key to obtain an encryption parameter; performing secret segmentation calculation based on the encryption parameters to obtain corresponding secret shares; the gateway management equipment aggregates the secret shares to obtain an aggregation result; and the aggregation platform reconstructs the aggregation result to obtain a secret value. In this way, data security and privacy protection between participants are ensured.

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.

A digital project task management cooperation platform system based on cloud deployment comprises a data layer, a service layer, an interface layer and an access layer. The service layer comprises service configuration, an intelligent task engine, basic service and task service; the service layer provides diversified contract service interfaces for the access layer; the intelligent task engine provides standard task management service; each basic service is integrated, and a universal intelligent task service system is realized; the intelligent task engine processes wide task types; the state and progress of a task are managed through a task service, document data related to the task are stored and managed through a file service, and smooth communication between task participants is ensured through a message service; and finally, key information in the document is automatically extracted through an intelligent identification technology. The platform system can greatly improve the conditions of information asymmetry, unsmooth communication and low management efficiency in the existing project management.

The embodiment of the invention provides a business data sharing method and system, electronic equipment and a storage medium, and belongs to the technical field of financial science and technology. The method comprises the following steps: at a first data node, performing hash calculation on first service data according to a hash function to obtain a first service hash value, encrypting a random integer value according to a one-way encryption function to obtain a first service encryption value, and at the first data node, establishing a mapping relation from the first service hash value to the first service encryption value, performing model construction at the first data node according to the second business data, the hash function, the one-way encryption function and the first privacy calculation model to obtain a second privacy calculation model, and performing one-way encryption on the first data node according to the first business hash value, the one-way encryption function, the first business encryption value and the second privacy calculation model to obtain a second privacy calculation model; and sharing the first business data to the second data node, thereby realizing the sharing of the business data while ensuring the security of the business data.

The invention provides a mobile office method and system applied to river and lake secret visit, and relates to the field of water resource management and environmental protection, and the method comprises the steps: after a new problem clue is received, carrying out the severity grade classification and influence range grade classification of the problem clue through an intelligent algorithm, and obtaining a classification result; according to the position information corresponding to the problem clues and the classification result, determining a priority order of the problem clues in a patrol queue; in the process that the worker carries out evidence collection according to the priority ranking, obtaining field evidence data corresponding to each problem clue through mobile equipment carried by the worker; and generating an investigation report according to the investigation template corresponding to the problem clue and the field evidence data. By implementing the method, intelligent allocation and mobile office of problem clues are realized, so that resource allocation is optimized, and response time delay of report generation is reduced.

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.

The invention relates to the technical field of data uplink, and relates to a data uplink method and device based on double decentration, equipment and a medium, and the method comprises the steps: matching a matched virtual device of trusted collection equipment, and initializing a virtual device key group of the matched virtual device; performing decentralized identity registration on the matched virtual device according to the virtual device key group to obtain a virtual device identity document; acquiring collection environment data and a trusted root key, and performing abstract calculation and trusted root signature on the collection environment data according to the trusted root key to obtain a collection data abstract and a collection data signature; generating transaction data by using the virtual device identity document, the collected data abstract and the collected data signature, and performing transaction signature on the transaction data by using the virtual device key group to obtain signature transaction data; and performing transaction packaging and transaction uplink on the signature transaction data and the transaction data to obtain uplink data. According to the invention, the flexibility of data uplink can be improved.

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 embodiment of the invention provides a private cloud equipment access method and device, electronic equipment and a readable storage medium. The method comprises the following steps: acquiring private cloud equipment information; wherein the private cloud equipment information at least comprises first identification information and initial configuration parameters; connecting a private cloud device corresponding to the first identification information according to the initial configuration parameter; when the user equipment is successfully connected with the private cloud equipment, sending user equipment information to the private cloud equipment; the private cloud device is used for sending the private cloud device information and the user device information to the private cloud server, and the private cloud server is used for generating a private cloud device address of the private cloud device according to the private cloud device information and the user device information; receiving a private cloud device address of the private cloud device sent by the private cloud server; and accessing the corresponding private cloud device through the private cloud server according to the private cloud device address. According to the embodiment of the invention, the experience of the user on the private cloud equipment is improved.

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 present invention provides a visual inspection method based on federated learning, which overcomes the problem of limited industrial data set size in each inspection task; the model provided in the method can be applied across industries to ensure efficient deployment of the model in new industries that initially provide limited data, and the method can solve various problems in actual defect detection applications; the model in the server in the method can be continuously updated regularly and help each client upgrade its inspection model over time; in addition, the method requires the client to send data information obtained from the original image to the server through a deep learning model, and this information cannot be used to restore the original data, so there is no data security issue involved to ensure the data security of the client; the present invention also relates to a visual inspection system, storage medium, and electronic device based on federated learning.

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.

According to the remote communication interaction link system of the electric power inspection unmanned aerial vehicle, a data link solution which is high in reliability, good in safety, high in integration level and long in transmission distance is provided based on the structure and mechanism of a UAV data link. The design and construction of a power inspection UAV data link system hardware scheme are completed, data link system hardware equipment suitable for a power inspection UAV system is designed, the characteristics, the configuration mode and the installation mode of the data link system hardware equipment are described in detail, and an anti-interference design is provided for a power UAV control panel. A whole set of communication protocol is designed according to an unmanned aerial vehicle data link system, data congestion is demonstrated, data traffic is reasonably arranged through design and calculation, and generation of data congestion is prevented. All parameter indexes of the limit communication distance of the system are defined, and the data link design scheme is high in reliability, good in safety, high in integration level and long in transmission distance.

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 invention provides an efficient and secure SVCS300 voice communication exchange system and method, which relates to the field of communication technology, including receiving voice signals of different target devices through different types of interfaces and communication protocols, and performing preprocessing operations on the voice signals; performing corresponding processing on the preprocessed voice signals based on an efficient concurrent processing mechanism, and automatically adjusting the system resource allocation based on an intelligent load balancing mechanism and a dynamic resource scheduling mechanism; using data encryption technology to ensure the data security of the system, and ensuring the authenticity of the identity of the user end based on an identity authentication mechanism; automatically detecting and locating system fault points based on a support vector machine, discovering abnormal situations, triggering an alarm mechanism and generating a communication exchange fault report; the user end remotely monitors the system performance and operating status and performs corresponding configuration and management, thereby realizing efficient processing of a large number of concurrent calls and ensuring the data security of the communication process.

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 invention relates to an automatic video archiving method, system, device and equipment based on a scheduled task. The method comprises the following steps: acquiring load data of each video node and acquiring a preset video plan from a message queue; performing distribution processing by adopting a Raft consistency algorithm according to the load data and a preset video recording plan to obtain a video recording task; the method comprises the following steps: automatically acquiring real-time video data from a monitoring platform according to a video recording task of each video recording node, and curing the video data to obtain a video recording file; obtaining metadata of the video file; transmitting each video file and metadata thereof to a block chain and / or an enterprise cloud for storage; and verifying the corresponding video file on the block chain by adopting an intelligent contract and / or zero-knowledge proof according to the metadata, and determining whether the corresponding video file is successfully and automatically archived or not. According to the method, the Raft consistency algorithm and the block chain are combined, and automatic processing and data protection of the video file in the process from generation to archiving are achieved.

The present invention discloses an automobile EDR data encryption protection method and system, which specifically relate to the field of automobile electronic technology. By real-time capture, preprocessing and feature extraction of electromagnetic signals in various driving scenarios, a signal feature library is constructed, and risk assessment and scene division are performed based on the library. Corresponding protection measures can be taken for driving scenarios with different risk levels, especially in high-risk scenarios. Through risk analysis and prediction within a fixed time period, high-intensity protection strategies can be formulated and implemented. This method can not only effectively prevent electromagnetic signal leakage and ensure the data security of the EDR system, but also improve the overall safety and reliability of the system and enhance the integrity and accuracy of accident data.

The invention discloses a script encryption method and decryption method and device of a system, and the method comprises the following steps: carrying out the first encryption of a script file through a first encryption algorithm, and uploading the obtained encrypted script file to a server side; encrypting the key of the first encryption algorithm by using a second encryption algorithm to obtain an encrypted key file; disassembling the encrypted key file into a plurality of sub-files which are arranged in sequence; changing the arrangement sequence of the plurality of sub-files, and storing the sub-files in a resource folder of the system; by adopting the technical scheme, the security of the key of the first encryption algorithm is enhanced, so that the data security in the script file transmission process is ensured.