68results about How to "Improve data security" patented technology

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 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.

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 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 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.

This invention provides a method and apparatus for compressing and encrypting snapshots of multiple 3D color objects based on spatial division multiplexing. The method includes: generating an object beam and a reference beam based on a three-primary-color laser source, and generating multiple composite three-color parallel beams based on the object beam; illuminating each 3D color object and a random phase mask connected to each 3D color object with the multiple composite three-color parallel beams, respectively, and calculating the light field distribution of each 3D color object on the corresponding random phase mask plane; encrypting the light field distribution using each random phase mask, and generating an object light field on a detector plane based on the encrypted light field distribution; and generating an encrypted color hologram of multiple 3D color objects by interfering with the reference beam on the detector plane through the object light field and the reference beam. This method can significantly reduce the crosstalk effect during decoding of different encrypted objects, greatly reduce the leakage of object information, and significantly improve security.

The application discloses a data encryption and decryption method based on a big data platform, and comprises the following steps: data source access; judging whether the data source is sensitive data; if the data source is non-sensitive data, processing the data source according to a normal data specification process; if the data source is sensitive data, entering a sensitive data area; when the data in the sensitive data area is needed, according to user requirements, the sensitive data is trimmed and aggregated according to user requirements, and after processing, an encryption UDF function is called to encrypt the data, and the data is pushed to a non-sensitive data area for subsequent data integration or output; after the data integration processing of the sensitive data is completed, the data is synchronously input into a kylin database or a mysql database according to requirements; when the classified data is queried, an OTP check code is input, and after verification, the sensitive data field is displayed; the encryption method is more flexible, and the encryption mode is safer.

A method is disclosed that includes receiving an alias resolution request message including an alias from a transfer server, and then transmitting the alias resolution request message including the alias to each of a plurality of mapping computers. Then, a plurality of alias resolution response messages are received from the plurality of mapping computers, the plurality of alias resolution response messages respectively including a plurality of credentials or tokens. Then, a credential or token is determined from the plurality of credentials or tokens, and the determined credential or token is transmitted to a transfer server computer. The transfer server computer uses the determined credential or token to conduct a transaction process.

The invention relates to a data quality monitoring system and method under data security and privacy protection. The system comprises a basic information management module, a metadata integration Agent module, an intelligent classification and grading Agent module, a desensitization rule generation Agent module, a desensitization rule execution Agent module, a monitoring rule generation Agent module, a monitoring rule execution Agent module, a monitoring and abnormity early warning Agent module, a system optimization Agent module and a visualization module. According to the method, the classification and grading technology, the desensitization technology and the large model technology are combined for data quality monitoring, data differential protection can be achieved, quality monitoring rules can be intelligently generated, differential monitoring strategy configuration based on data service importance and sensitivity can be achieved, safe and explainable anomaly analysis and reports are provided, and the safety and reliability of data quality monitoring are improved. Therefore, the pertinence, the safety and the self-adaptive capability of monitoring are improved.

This invention provides a method and system for compressing power messages, relating to the field of power system control technology. The method includes: acquiring power messages via a first FPGA; timestamping the acquired power messages; caching the timestamped messages in a first shared memory; extracting messages from the first shared memory; parsing the messages according to their type and classifying and storing them in a second shared memory; extracting messages from the second shared memory by control block using a second FPGA; compressing the compressed packages corresponding to the control blocks; storing the compressed packages in a third shared memory; packaging and secondary compression according to a set time period; generating a total compressed package for that time period; and storing it on an SSD for dual-disk storage. This invention effectively reduces the storage space requirements for historical messages, improves the storage time of historical messages, and solves the problem of frequent failures in storing historical messages for post-event analysis of power systems.

The present application relates to the field of aerospace TT&C and artificial intelligence cross technology, and in particular to a federated learning driven edge node multi-axis collaborative optimization method and system, aiming at the defects of large transmission pressure, poor data security, weak multi-axis collaboration ability, single point failure and the like of traditional TT&C antenna centralized architecture, the system is composed of a central aggregation node, an edge LCU control node and an antenna multi-axis execution mechanism. The system adopts a horizontal federated learning mode, the edge node locally collects and stores original working condition data, and only encrypts and uploads model parameters after completing model training; the central node completes parameter aggregation through a multi-dimensional dynamic weight algorithm, generates a global model and iterates. The present application can optimize antenna multi-axis action timing, tracking accuracy and load distribution, has advantages of data security, low transmission cost, strong robustness, easy expansion and the like, and is suitable for various TT&C antenna cluster scenes.

The application belongs to the field of new generation wireless communication technology, and provides an interference utilization precoding method and system for ISAC system security enhancement. Based on the -PSK structure, the constellation is divided into multiple regions, in each time slot, a region is randomly selected as the DI region, the data security scaling factor based on random DI and its refined version are derived, and the non-convex optimization problem of guaranteeing the communication CI constraint, the data security constraint based on random DI and the transmission power constraint is constructed with the optimization target of maximizing the radar illumination power towards the eavesdropper, and the optimization result is solved. The simulation results show that the security enhanced interference utilization precoding scheme can effectively deal with the intelligent data eavesdropper in the ISAC system, and compared with the existing CI based ISAC precoding scheme and the ISAC precoding scheme based on deterministic DI, it has significant advantages in improving the data security of the ISAC system.

The invention relates to the technical field of artificial intelligence and big data processing, and discloses an artificial intelligence-based big data analysis platform system, which comprises a data access layer, a data preprocessing layer, an AI analysis engine layer, a data storage layer, an application service layer and a monitoring operation and maintenance layer which are in communication connection in sequence. The data access layer is used for realizing multi-source heterogeneous data access and high-frequency data caching; the preprocessing layer completes data cleaning conversion and quality detection; the AI analysis engine layer realizes full-life-cycle management, intelligent analysis and result optimization and explanation of the model; the data storage layer adopts a mixed framework for classified storage and remote backup; the application service layer provides a visual display and open interface; the monitoring operation and maintenance layer guarantees stable operation of the system. According to the invention, data processing efficiency and analysis precision are improved, and data security and user experience are enhanced.

The invention is suitable for the field of intelligent technical services, and provides a waste recycling transaction method and system, and the method comprises the following steps: obtaining waste data based on the waste processing process of an intelligent recycle bin, the waste data comprising type information and weight information; price information is obtained through retrieval based on the type information through the cloud platform, and the total amount of the waste is calculated according to the price information and the weight information; receiving a collection code image uploaded by the intelligent recycle bin; performing data analysis on the collection code image through the cloud platform to obtain account information of the user, and transferring funds to the user according to the accounting total amount and the account information; and carrying out encrypted storage and synchronization on data generated by the transaction, waste data and account information through a block chain network. According to the method, the user can put the waste products more conveniently, the user does not need to classify and put the waste products, and the waste products are identified and then summarized based on the sorting process, so that the value calculation of the waste products is more accurate.

The application discloses a kind of multi-modal optical communication modules with network defense capability, it is related to transmission technical field, solve optical communication module defense capability is insufficient, modal adaptability is poor, transmission is unstable and so on.The module is composed of shell, optical communication signal transceiver component, multi-modal transmission component, network defense component, total controller, adopts layered installation, double mode drive, multi-modal multiplexing, uses photoelectric double-layer monitoring, national encryption algorithm, three-level defense linkage security protection means, improves transmission performance by dynamic routing switching and error code compensation, realizes whole module cooperation by modal routing collaborative scheduling, with the characteristics of iP65 protection and EMC compatibility, improve transmission rate, anti-interference ability and network security, transmission and defense collaborative optimization.

This invention discloses an OTA upgrade and rollback method for an electric two-wheeled vehicle controller and an electric two-wheeled vehicle. The controller includes an MCU and a Bluetooth chip. The MCU's flash memory is divided into a bootloader guidance area and an APP running area, while the Bluetooth chip's flash memory is divided into a Bluetooth APP area and an MCU program backup area. The method includes: after the controller is powered on, the MCU chip enters the guidance area, detects a valid upgrade flag, backs up the current firmware in the APP running area, and encrypts and transmits it to the backup area. After the backup is completed, an OTA upgrade is performed. After the upgrade is completed, the guidance area verifies the upgraded firmware in the APP running area. If the verification passes, it jumps to the running area and sets the upgrade flag to invalid; if the verification fails, a rollback process is triggered. The guidance area decrypts the firmware stored in the backup area and rolls it back to the APP running area. By utilizing the remaining space resources of the Bluetooth chip, the overall resource utilization efficiency of the controller is improved.

This disclosure provides a data collection method, apparatus, electronic device, and storage medium, relating to the field of mobile communication technology. The method includes: a first network element sending a first information acquisition request to a UDM network element; receiving data collection subscription information corresponding to a terminal returned by the UDM network element; and determining a target data collection method based on the data collection subscription information corresponding to the terminal. The method provided in this disclosure can, based on requesting data collection subscription information from a UDM network element, allow the first network element to selectively determine a data collection method. Therefore, this disclosure can achieve user data collection while improving user data security and preventing the leakage of user privacy.

The embodiment of the invention provides a database read-write separation method and device, equipment, a storage medium and a program product, and relates to the field of distribution. The method comprises the following steps: analyzing a configured connection character string to create a connection pool group; according to cluster state information corresponding to the connection pool group, dynamically allocating a master library connection or a slave library connection; and updating cluster state information of each connection pool in the connection pool group in real time in the process of dynamically distributing the master library connection or the slave library connection. According to the method provided by the invention, the sensing dimension and the dynamic adaptation capability of the connection pool group to the cluster node state are increased, and the accuracy of the read-write request routing and the utilization efficiency of the connection resource are improved.

The invention relates to an intelligent security and protection method and device for insurance business. The method comprises the following steps: receiving a plurality of transaction requests, wherein each transaction request has a unique serial number and an interface address; based on the serial number of each transaction request, the plurality of transaction requests are divided into a plurality of serial transaction groups which are sequenced according to the time sequence, the first transaction group comprises the previous transaction request, each subsequent transaction group comprises one or more parallel transaction requests, and each parallel transaction request is used as the following transaction request; fields of key business data of each transaction request are extracted through respective interface addresses of the previous transaction request and the plurality of the following transaction requests, and the previous transaction request and the following transaction requests are associated through the key business data; and when the field of the key business data of the previous transaction request is the same as the field of the key business data of the next transaction request, determining that the previous transaction request and the next transaction request are passed. According to the invention, the data security in the insurance business can be improved.

This invention provides a system and method for verifying a primary radiation dose distribution curve, and a storage medium. A system and method for verifying a primary dose distribution curve generated by a radiation machine using a cloud-based service are discussed. An exemplary system may include: a cloud providing the cloud-based service; and a user interface enabling multiple users to access the cloud-based service. A file service can extract image information and information about the radiation machine from a patient's DICOM file. A dose engine service can determine a secondary radiation dose distribution curve by applying a dose algorithm to the image information and the radiation machine information. The applied dose algorithm may differ from the dose algorithm used by the radiation machine to generate the primary dose distribution curve. A dose assessment service can use the secondary radiation dose distribution curve to verify the accuracy of the primary dose distribution curve based on the consistency indication between the primary and secondary dose distribution curves.

The invention relates to the technical field of vehicle accident monitoring systems, and discloses a vehicle accident monitoring system and method in a high-risk environment and a ground vehicle, the ground vehicle is equipped with a sensor suite, a local wireless transmitter, a parking apron and a plurality of unmanned aerial vehicles, the unmanned aerial vehicles are accommodated in the parking apron, and the unmanned aerial vehicles are connected with the sensor suite. And the control processor is configured to execute a shadow formation protocol, and at least one unmanned aerial vehicle is deployed to keep a continuous air trailing position behind the ground vehicle during the operation of the system. Aiming at the core pain point of the existing driving vehicle data recording scheme, the comprehensive breakthrough is realized: firstly, through data recording equipment and vehicle physical decoupling and dual storage redundancy, the data loss risk of a traditional airborne black box caused by vehicle damage is thoroughly avoided, and the accident data integrity is guaranteed;