109results about How to "Improve data security" patented technology

The invention discloses a data real-time analysis and decision-making system based on an edge intelligent Internet of Things, belongs to the technical field of Internet of Things, and aims to solve the technical problems of insufficient real-time performance, high delay, large bandwidth occupation and high dependence on a central server in data processing of Internet of Things equipment. Comprising an edge device layer, an edge computing node layer, a cloud edge collaboration module and a central server layer, each edge computing node is used for taking data after local analysis processing as input, performing prediction analysis through a local model, making a decision through a decision generation mechanism based on an analysis result, and performing cloud edge collaboration. Generating decision optimization through an adaptive decision optimization algorithm, and performing data exchange with the central server layer through a cloud edge collaboration module; and the central server layer is used for carrying out model updating based on the real situation and the analysis result corresponding to the analyzed and processed data uploaded by each edge computing node, and returning the updated model parameters to the edge computing node layer.

The invention belongs to the technical field of automobile information safety fuzzy testing, discloses an automobile information safety fuzzy testing method based on a large model, and develops optimization application research of LLMs in an automobile software fuzzy testing scene by utilizing the advantages of an artificial intelligence technology in the aspects of data processing, natural language interaction, generalization ability and the like. The concealment and effectiveness of the test set generated by the fuzz test are optimized, and the fuzz test process efficiency is improved. Through the implementation of the invention, related key technologies are applied to the fuzz test of the automobile, and other related products and enterprises in China are radiated by writing technical standards, so that the fuzz test system can be used as an application demonstration and sample plate of the fuzz test of the intelligent driving automobile. According to market analysis, fuzzy test calculation is carried out on 100 thousand automobiles every year according to the method, and the data safety and the system safety are improved.

The invention discloses a decentralized application-oriented smart contract program generation method, device and equipment and a storage medium, and belongs to the field of block chain smart contracts, and the method comprises the steps of persisting an executable code and state data of a fragmented smart contract in block data; in response to a calling instruction for the fragmented smart contract, extracting the executable code and the state data persisted in the block data to execute the fragmented smart contract, and updating the state data persisted in the block data according to execution of the fragmented smart contract; and in response to a reconstruction instruction for the fragment smart contract in execution, extracting persistent executable codes and state data from the block data, and reconstructing the fragment smart contract in execution through the extracted executable codes and state data. The problems of complex cross-fragment calling, low execution speed and difficult fault recovery of the smart contract are solved, and the performance and stability of the block chain system in decentralized application processing are improved.

The present invention discloses a photovoltaic microgrid energy management and optimization scheduling system, relates to the technical field of smart grids, and solves the problems of unstable output power, complex control strategy and poor real-time response capability of the existing system; the present invention predicts future photovoltaic power generation and load curves through an intelligent prediction and analysis module, provides a reliable data basis for the optimal scheduling of the system, adjusts the energy distribution between the photovoltaic system, energy storage device and controllable load in real time through a dynamic scheduling optimization module, realizes efficient energy utilization and stable operation of the system, optimizes the output of distributed energy resources and the charging and discharging strategy of the energy storage device through a distributed energy resource control module and an energy storage management and optimization module, and further improves the real-time response capability and operation efficiency of the system; the present invention greatly improves the energy management, prediction accuracy, real-time response capability and safety control capability of the existing photovoltaic microgrid.

The invention discloses a wearable 5G intelligent thermometer and an intelligent body temperature monitoring system, and belongs to the technical field of body temperature monitoring. The wearable 5G intelligent thermometer comprises watchbands, the watchbands are movably installed on the left side and the right side of a body temperature monitoring host through installation shafts, a temperature sensing testing head is arranged at the bottom of the body temperature monitoring host, and the body temperature monitoring host is connected with a mobile terminal of a guardian through a 5G network. The problem that in the prior art, only the body temperature measuring function can be achieved, the body temperature of a user cannot be monitored and analyzed, and a guardian cannot be notified in time when the body temperature is abnormal is solved, the temperature sensing measuring head with faults can be eliminated, the temperature value measuring accuracy can be ensured, and the user experience is improved. The body temperature change can be quickly responded, a guardian can conveniently and remotely check and analyze the body temperature change, the law and trend of the body temperature change can be found, the accuracy of body temperature monitoring data is ensured, the overall condition of the body can be more comprehensively known, and the diagnosis accuracy is improved.

The invention belongs to the field of archive data secure transmission, and discloses an archive data secure transmission method based on a bidirectional encryption algorithm. Comprising the following steps: collecting historical comprehensive data and real-time data information, designing a security policy according to the historical comprehensive data, deploying the security policy to all archive data, and dynamically updating the sensitivity level of the real-time data information; constructing an input packet according to the real-time data information, designing a secret key and secret key generation model, importing the input packet into the model, and obtaining a secret key and a secret key which are generated in real time; segmenting the real-time data information through a slicing strategy, and encrypting the real-time data information by using a secret key and a secret key; a multi-element encryption group is designed according to the ciphertext fragment, multi-path transmission is used, and a receiving end carries out data decryption and restoration through a dynamic key; and displaying the transmission report on a computer end page, and performing interface interaction with a user to realize safe transmission of the archive data based on a bidirectional encryption algorithm.

The invention discloses an SCADA (supervisory control and data acquisition) system optimization method for an intelligent power grid, which improves data processing efficiency and system response speed by performing data grading processing on edge computing nodes, and reduces data transmission load by adopting a differential transmission strategy and an intelligent compression technology. A deep learning algorithm is utilized to construct a self-learning fault prediction model to enhance fault prediction and diagnosis capability, a multi-layer data security and privacy protection mechanism is introduced to improve data security and privacy protection, and an intelligent scheduling module is introduced to enhance system collaboration and dynamic adaptability. According to the comprehensive optimization methods, the real-time performance, reliability and safety of the SCADA system are remarkably improved, so that the SCADA system is more suitable for the complex environment of the smart power grid, and the efficient, stable and safe operation requirements of the smart power grid for the SCADA system are met.

The present application relates to a method and system for protecting user data security on a multi-tenant platform, the method comprising: determining a complete key based on the unified key and the encryption vector; authenticating the user, determining the user's level, and controlling the frequency based on the user's level; verifying the user's authority to determine whether the current user has access rights to the data; after both the identity authentication and authority verification are passed, using the complete key to encrypt and transmit the data requested by the user. The present application proposes an overall data security strategy that can effectively improve data security in complex scenarios such as enterprise-level multi-tenants. At the same time, because the strategy is unified as a whole and is simplified as much as possible, it takes into account both ease of use and different access scenarios.

The invention discloses a corpus standardized template construction and file automatic generation method and system, and the system comprises a template construction module, a file generation module, a verification module, a user interface module, a storage and management module, an extension and optimization module, and a quality evaluation module. The standardized management of the corpus is realized, the problem that the structure and format of the corpus lacks unified standards in the traditional method is solved, and the compatibility and sharing of the corpus are improved. Meanwhile, data cleaning, format conversion and multi-modal data integration technologies are combined, corpus files meeting template requirements are automatically generated, the data processing flow is simplified, and the risk of data inconsistency or loss is reduced.

The application discloses an unmanned aerial vehicle intelligent sensing and intention reasoning system and device, which comprises image acquisition, target detection, knowledge graph, multi-modal large model, airborne computing power and edge-cloud cooperation module. The system is guided by target detection, enhances scene knowledge through the knowledge graph, improves the analysis ability of the multi-modal large model, and realizes the intelligent monitoring of the unmanned aerial vehicle based on the RK3588 platform. Real-time monitoring is realized by using the maneuverability of the unmanned aerial vehicle, which can not only analyze the scene, but also infer and predict the behavior intention and situation, thereby realizing early warning. The local and cloud systems are equipped with a historical database, a visual interface and a large parameter model, and the returned information is deeply analyzed. The system can be applied to the scenes of border patrol, city security, animal protection and the like.

The invention relates to the technical field of data transmission, in particular to a processing and risk assessment method and device for mass files and asset data and a medium, and the method comprises the steps: dividing to-be-processed mass files and asset data into a plurality of data clusters; based on a duration evaluation algorithm and a risk evaluation model, calculating the expected total processing duration and the risk level of each data cluster, and processing each data cluster according to the expected total processing duration and the risk level; performing real-time feature extraction and vectorization representation on the asset data, and matching asset features with a risk information feature library to identify and evaluate the risk of the asset features; when it is monitored that the data cluster transmission state or asset data analysis is abnormal, an auxiliary processing thread is started to continue executing the next task in the data cluster, the average processing speed of the corresponding data cluster is updated, and the total processing duration of the remaining tasks is evaluated again. Therefore, the data processing efficiency and the data security of the power system are 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.

The invention is suitable for the field of product production, and provides an equipment production method and device, equipment, a storage medium and a program product.The method includes the steps that when an external person logs in an account, a verification procedure is completed only in a simple control triggering mode in the verification process of a target sample, the external person is prevented from checking related parameter information of the target sample, and the verification efficiency is improved. Therefore, the confidentiality of the product and the data security are improved.

The invention provides an electricity-carbon collaborative transaction method and system based on an alliance chain double-chain architecture, and the method comprises the steps: carrying out the network initialization, and guaranteeing that all participating nodes meet the operation requirements of HyperledgerFabric; secret keys and certificates are generated, and identity certificates and secret keys of all organizations in the network are generated through an encryption tool provided by Fabric; defining a configuration and creation block, creating a configuration file to define an organization structure of a network, and reserving a channel and chain code configuration of the network; two channels are configured, and two independent channels are established for the electricity market and the carbon emission permit market; submitting a user transaction, including user identity verification, transaction proposal generation and endorsement node endorsement; transaction verification and packaging, including transaction packaging and sorting, and block verification and submission; and intelligent contract auditing: triggering the intelligent contract, auditing the electricity and carbon data and processing abnormal data. The transaction efficiency and the data security can be improved, and the market transparency and the collaborative operation of the electricity and carbon market are promoted.

The invention discloses a circuit for storing parameters by using an excitation loop of an electromagnetic flowmeter and an implementation method. The circuit comprises an MCU (Microprogrammed Control Unit) chip, a rectifying and voltage stabilizing circuit, a state judging circuit and a data return circuit, wherein the rectifying and voltage stabilizing circuit consists of a rectifying full bridge, a rectifying diode, a filtering capacitor and a low-power-consumption voltage stabilizer which are connected with an excitation loop of the electromagnetic flowmeter; the state judging circuit consists of a voltage comparator and a divider resistor; and the data return circuit consists of a constant-current device and a controlled switching device. By controlling the voltage state and the current state in the excitation loop, writing, storage and reading of parameter data are realized. Under the condition that the number of connecting lines between the converter and the sensor is not increased, parameters can be stored along with the sensor, and parameter backward reading is completed through the excitation loop when the converter is replaced, so that the maintenance efficiency is improved, and the safety of parameter data is enhanced.

This invention discloses an automated terminal equipment operation status monitoring device and method, belonging to the field of power distribution automation equipment monitoring technology. The device consists of an MCU, a current signal acquisition module, a voltage signal acquisition module, a temperature acquisition module, an A / D converter module, a power supply module, an alarm module, a communication recording module, a data storage module, and a display module. Each module is electrically connected according to a preset configuration to form a complete monitoring architecture. Based on this device, the method sequentially executes the following steps: system initialization self-calibration, multi-source signal synchronous acquisition and preprocessing, fault judgment threshold dynamic correction, multi-dimensional feature fusion fault analysis, hierarchical linkage response and data partitioning storage, and cyclic monitoring. This invention improves the accuracy of fault detection and analysis, can quickly locate faults and respond hierarchically, significantly shortens repair time, effectively improves the operation and maintenance management capabilities of terminal equipment, and ensures the safety of power distribution networks and equipment.

The present disclosure provides an interaction method, which can be applied to the technical fields of artificial intelligence, information security, computer software and the like, and the method comprises: in response to a first application program being started, calling a second application program, wherein the second application program is in a trusted execution environment; based on interaction information received by the second application program, generating a target interaction request and a disturbance request; sending the target interaction request and the disturbance request to a server to execute an interaction task by using the server, so as to obtain a target interaction result generated in response to the target interaction request and a disturbance result generated in response to the disturbance request; and feeding back the target interaction result to a target object. The present disclosure also provides an interaction device, an electronic device, a storage medium and a program product.

The application discloses a food additive production management and control system and method based on intelligent scheduling, and relates to the technical field of additive production.The application comprises a printing step and an extraction step, and the printing step comprises the following steps: a scheduling unit acquires scheduling records of a production workshop and uniformly uploads the scheduling records to a processing unit; the processing unit saves the scheduling records to a database, and simultaneously executes a data classification program according to the data length L of the scheduling records to obtain data blocks and a compression algorithm; the processing unit acquires packaging pictures from the database; the processing unit executes a picture fusion program according to the data blocks and the compression algorithm to obtain fused pictures; and the processing unit synchronously saves the fused pictures to the database.The application hides the scheduling records in the packaging pictures of each product through the data blocks and the compression algorithm, can realize distributed storage of the scheduling records, improves data security, avoids artificial tampering of the scheduling records, and improves the authenticity of the scheduling records.

Disclosed in the embodiments of the present disclosure are a desensitization method and apparatus for image data, wherein the desensitization method comprises: determining a target image channel, which needs to be subjected to target recognition, in a native image; performing image restoration on native data corresponding to the target image channel, so as to obtain a single-channel image corresponding to a color component of the target image channel; recognizing a target object from the single-channel image; determining a sensitive area in the native image on the basis of the target object; and performing data desensitization processing on the native data in the sensitive area. By means of the embodiments of the present disclosure, it can be guaranteed that privacy image data cannot be stored and leaked in a subsequent digital image signal processing process, thereby providing protection for the privacy data from the start of the generation of image data, and thus improving data security.

The application provides a steel structure management system, which integrates a contract information collection submodule, a third-party OCR calling submodule, a local open source large model processing submodule, an order information mapping entry submodule and an information checking and review submodule in an order management module, forms a full-process automatic processing system from contract collection, character recognition, semantic analysis, structured extraction, automatic entry to checking and review, and realizes accurate differentiation of printed and handwritten information, positioning of core elements and standardized conversion of formats through local deployment of an open source large model and special fine tuning for a steel structure contract scene, thereby completely solving the problems of low efficiency of manual entry, difficulty in handwritten character recognition and data privacy leakage. The application greatly reduces manual intervention, improves the accuracy of order information entry and the security of data, and promotes the intelligent and efficient transformation of order management of steel structure enterprises.

The present invention discloses a hierarchical encryption real-time normal height service method and system, comprising: step 1: hierarchically peeling a digital elevation benchmark model into k digital elevation benchmark sub-models, and encrypting the sub-models; step 2: storing the encrypted sub-models on multiple independent servers, respectively, and deploying a decryption algorithm and an elevation anomaly interpolation algorithm; step 3: deploying a data leakage prevention module on a broadcast server; step 4: the broadcast server receives a request for obtaining information content sent by a user terminal, and after verification, the broadcast server sends a request to a network RTK server to obtain differential data, and the server sends a request to obtain an elevation anomaly component; step 5: the broadcast server merges all the collected elevation anomaly components into an elevation anomaly, uses the elevation anomaly to correct the geodetic height in the received differential data to obtain a normal height, and broadcasts it to the user terminal. The present invention improves work efficiency and data security.

The invention relates to a multi-span collaborative study and judgment method based on a thinking brain map. The method comprises the following steps: constructing the thinking brain map by taking a case event as a central point and taking a case element as a node; in response to a collaborative editing operation of any user on the thinking brain map in multi-span collaboration, identifying an operation type of the collaborative editing operation; if the operation type is a modified node type, identifying a first target node corresponding to the collaborative editing operation in the thinking brain map, and obtaining editing content of the collaborative editing operation; standardizing the edited content through a preset data format to obtain standardized edited content, and updating a first target node in the thinking brain map according to the standardized edited content; and encrypting the updated thinking brain map, and pushing the encrypted thinking brain map to each user of the intranet from the extranet by adopting a secure data transmission technology, so that each user carries out case research and judgment through the updated thinking brain map. According to the method, cross-network and cross-department multi-person collaborative research and judgment can be realized, and the research and judgment efficiency and the data security are improved.

The invention discloses an API interface rapid integration and management system and method based on an off-line private environment. The method achieves the following purposes: data security is ensured, the scheme is deployed in an internal network of an enterprise, data does not circulate in an external network, and the data leakage risk is effectively reduced; the integration process is simplified, one-key SDK generation and an automatic updating mechanism are provided, automation of the API integration process is achieved, and the development efficiency is greatly improved; and after the API is changed, a developer only needs to update information and regenerate the SDK, code updating can be rapidly completed, the maintenance work is simplified, and the maintenance cost is reduced. The method is suitable for an enterprise internal network environment, the scheme can be deployed in an enterprise internal network, it is ensured that data does not circulate in an external network environment, and the data leakage risk is reduced.

The present invention relates to a query system based on data analysis, and in particular to the technical field of database management. The query system comprises a user information management module for implementing dynamic authority management for users, a data source management module for managing user requests, caches, data sources and data security, and a database management module for managing a number of databases. The present invention analyzes the query request of the user to determine whether the user request exists in the cache, so as to determine the selection of the query mode for the query request, thereby making flexible selections in the query process, and setting different supervision strengths in the corresponding query mode to supervise the query process, thereby improving the accuracy of control over the data query process.

The embodiment of the invention provides a computing power resource transaction method and a block chain system, and the method comprises the steps: a first block chain node receives a creation request of a computing power resource transaction order, generates order information according to a resource identifier and a resource number, and returns the order information to a client; the first block chain node belongs to an order channel; the second block chain node receives the payment request, generates a payment acceptance voucher according to the order information and returns the payment acceptance voucher to the client; the second block chain node belongs to a payment channel; the first block chain node receives the payment success synchronization request, updates order information according to the payment completion voucher, and returns the updated order information to the client; the third block chain node receives the computing power resource scheduling request, and performs computing power resource scheduling according to the updated order information; the third block chain node belongs to a computing power resource management channel; the order channel, the payment channel and the computing power resource management channel are in mutual data isolation. According to the embodiment of the invention, the data security of computing power resource transaction is improved.

The application discloses a kind of data processing methods, systems and storage medium of autonomous operation of cross-industry alliance, it is related to business data processing technical field, method includes: based on the unique digital identity identification of user generation for blockchain data base, and the behavior record of user in cross-industry alliance node is written into blockchain account book, and the digital assets of chain on authentication are formed by intelligent contract processing;Dynamic user portrait is constructed by user intelligent agent, and the resource state of merchant side is collected by merchant intelligent agent and generates lead demand data;Cross-industry joint consumption coupon package strategy is generated by scheduling intelligent agent, and joint consumption coupon package is generated and put by intelligent contract, and the state of updating and canceling is executed cross-merchant fund clearing and data settlement.By the technical scheme of the application, chain on authentication, intelligent agent cooperation, coupon package generation, right and interest cancellation and automatic clearing and settlement data processing closed loop can be formed, the consistency and credibility of cross-industry right and interest circulation and settlement processing are improved.

The application provides a fruit and vegetable recognition and supply management method and system based on edge computing, and relates to the technical field of Internet of Things and smart home, and comprises the following steps: acquiring fruit and vegetable management multi-source data; pre-processing fruit and vegetable images to obtain to-be-recognized fruit and vegetable images, inputting the to-be-recognized fruit and vegetable images into a preset fruit and vegetable recognition model for recognition to obtain fruit and vegetable categories; updating inventory states according to the fruit and vegetable categories and corresponding weight data, and adjusting storage environment conditions based on the fruit and vegetable categories and a preset storage condition suggestion library; calculating historical consumption based on the weight data, and generating fruit and vegetable management decisions according to the inventory states, inventory time information and the historical consumption; and outputting the fruit and vegetable management decisions to terminal equipment. The application realizes high-precision recognition, dynamic inventory management and intelligent supply decisions of fruits and vegetables.

The invention provides a data storage and backup recovery system based on block storage, which belongs to the field of data storage and is composed of three main components: a scheduling module is responsible for global backup and recovery task scheduling and monitoring; the backup execution module executes data extraction, transmission and backup management; the storage modules are distributed at different nodes to ensure persistent and secure storage of data. According to the system, communication between components is optimized by utilizing an innovative communication protocol, and various message types are supported to realize efficient cooperative work, including intelligent component registration, heartbeat detection, backup, recovery instruction processing and the like. According to the invention, through highly refined data block management, a strong storage resource control capability is provided for a user.

The invention discloses a multi-user encrypted data cross-domain search method based on a constant-level query token, and relates to the field of encrypted data range search. A system model is composed of a user group, data owners of different search domains, a block chain and a cloud server. The method comprises an initialization stage, a key distribution stage, an index construction stage, a token generation stage and an authorization query stage. A data owner constructs a sequence weighted inverted index to realize a randomized constant-level query token, and a binary tree sorting tree is used for storing different values to determine a search range, so that the query overhead is reduced, and the security of a query process is improved; a request chain and an authorization chain are introduced to store key information related to a user and a data owner and carry out index construction and search, so that safe search is realized. According to the method, the overhead of multiple users in the range search process is reduced, the security in the query process is improved, and the security and integrity of query information during multi-data-field range search are ensured.