990 results about "Data operations" patented technology

Systems and methods for integrating generative artificial intelligence (AI) within Software-as-a-Service (SaaS) platforms to automate data operations, synchronize cross-platform workflows, and enable intent-based interactions. A platform displays table structures of items and characteristics linked to a common objective, provides input interfaces, and enrolls AI agents as credentialed users with read / write privileges. The system prompts agents with column types, structural relations, and role profiles to generate and execute editing instructions that progress workflow objectives, detect missing or inconsistent data, and notify users or request information as needed. Hierarchical access schemes permit multiple agent instances with inherited privileges and resource limits managed through an AI center. Agents can operate as autonomous team members, analyze outputs, and support natural-language explanation sessions. Additional embodiments coordinate inter-service updates, maintain deviation detection tools, and construct tailored products and platform elements. These capabilities improve robust automation, decision support, and operational efficiency in complex SaaS environments.

The invention relates to the technical field of artificial intelligence and big data analysis, in particular to a data operation system and method based on a knowledge graph, and the method comprises the steps: extracting an entity and semantic relationship from multi-source business data, and constructing a dynamic evolvable initial knowledge graph; node features are aggregated, and multi-dimensional situation state vectors are generated in combination with gating loop unit modeling behavior path dependence; through a structure-semantic coupling attribution scoring mechanism, a statistical information gain and semantic similarity are fused to identify a core driving factor, and a causal regression model of the factor and an operation target is established; dynamically adjusting the edge weight and the structure of the atlas in real time, and triggering a new path discovery mechanism to continuously optimize the atlas; and according to a quantitative business target, reversely extracting a high-confidence influence path from the atlas, and generating a personalized strategy combination through intervention simulation and multi-target Pareto optimization, thereby realizing intelligent recommendation and decision closed loop driven by an operation target. According to the invention, higher-precision operation situation awareness and strategy generation are realized.

Systems and methods for integrating generative artificial intelligence (AI) within Software-as-a-Service (SaaS) platforms to automate data operations, synchronize cross-platform workflows, and enable intent-based interactions. A platform displays table structures of items and characteristics linked to a common objective, provides input interfaces, and enrolls AI agents as credentialed users with read / write privileges. The system prompts agents with column types, structural relations, and role profiles to generate and execute editing instructions that progress workflow objectives, detect missing or inconsistent data, and notify users or request information as needed. Hierarchical access schemes permit multiple agent instances with inherited privileges and resource limits managed through an AI center. Agents can operate as autonomous team members, analyze outputs, and support natural-language explanation sessions. Additional embodiments coordinate inter-service updates, maintain deviation detection tools, and construct tailored products and platform elements. These capabilities improve robust automation, decision support, and operational efficiency in complex SaaS environments.

The invention relates to a data query analysis method based on a natural language, which comprises the following steps of: analyzing a natural language query request input by a user into a dynamic semantic intention tensor which comprises an operation type, a comparison relationship, a time constraint and a data role semantic dimension, and dynamically combining according to task semantics to form a complete data query and analysis operation expression; mapping the natural language intention to a controllable data operation space of a database, and generating a preliminary data operation chain; performing side effect perception processing on the operation tensor, predicting a potential execution consequence of the operation, generating a side effect tensor for simulating a side effect of the database operation, and if any index in the side effect tensor exceeds a preset threshold value, performing local correction on the operation tensor; according to the method, a complex natural language query task is disassembled into a plurality of minimum semantic units by adopting a step-by-step semantic resolution mechanism, each unit is mapped into a specific tensor operation, and a dependency relationship between operation units is dynamically reasoned to generate an operation execution chain.

The invention relates to the field of intelligent operation and maintenance, and discloses a multi-source network data operation and maintenance system based on micro-service architecture and AI collaboration, comprising the steps of collecting multi-source data of a micro-service system, and performing cleaning, format unification and time alignment on the collected data; based on a data result of the data acquisition module, constructing a micro-service call chain and a dependency graph, embedding a real-time performance index and a log feature in each node, and dynamically updating a service relation graph; carrying out real-time anomaly detection on the multi-source data, and judging the alarm effectiveness in combination with a dynamic threshold and an AI alarm confidence self-learning mechanism; the AI conducts reasoning along the call chain anomaly map, causal relationship reasoning is added, and the anomaly propagation influence range is predicted; and feeding back a root cause positioning result and the optimized alarm information to an operation and maintenance system, optimizing an alarm threshold and decision parameters in combination with historical records, and outputting an updated operation and maintenance decision scheme. The method has the advantage of improving the operation stability of the system.

The invention relates to a notebook software vulnerability scanning method based on a security policy. According to the method, firstly, a security policy library of a target notebook is obtained, and the security policy library comprises access control rules, data operation limiting conditions and vulnerability detection reference requirements for different software types; collecting software running data of the target notebook computer, wherein the software running data comprises current running process information, file system operation records, network connection states and software configuration parameters; performing matching analysis on the software operation data and the security policy library to generate a preliminary scanning result; evaluating the risk level of the software vulnerability according to the preliminary scanning result; and finally, based on the risk level and the repair guide terms in the security policy library, generating software vulnerability repair guide information. Therefore, notebook software vulnerabilities can be scanned comprehensively and accurately, and effective repair guidance is provided.

The invention discloses a marine meteorological observation data millisecond query system based on time sequence block indexing. The marine meteorological observation data millisecond query system comprises a data input module, a data preprocessing module, a data hierarchical modeling module, a data storage cluster, a data analysis engine, a data query engine and a data operation interface module. Based on data modeling, data thinning and data partitioning technologies, data preprocessing is carried out for different meteorological ocean space weather data, and distributed storage and access of mass data are achieved; the method comprises the following steps: inputting ocean actual observation data, forecast data or historical data, carrying out model construction and index design according to meteorological ocean space weather data characteristics, completing distributed storage, and applying a data query engine and a data analysis engine to realize rapid aggregation query of the meteorological ocean space weather data; storage and query of lattice point data are realized by using a distributed database, and the problems of scale and query performance of meteorological ocean space weather data are effectively solved.

The invention relates to an enterprise data operation multi-source data virtualization access and index automatic management and control method and system, belongs to the technical field of computers, and aims to solve the problems of index definition fragmentation, frequent logic conflicts, dependency static management and verification rule rigid coupling in the prior art. Comprising the following steps: constructing a unified virtualized data access layer to integrate heterogeneous data sources; the indexes are disassembled into semantic atoms capable of being managed in a versioning mode and registered to an atom knowledge base; dynamically constructing an index dependency relation directed acyclic graph based on semantic atom combination; dynamically binding the data quality rules with semantic atoms; and analyzing an index request through a virtualized query engine, reversely traversing atlas aggregation dependency and rules, generating and executing local query, and automatically checking result data quality at the same time. According to the method, unified index definition, dependence on automatic conduction, quality embedded verification and multi-source transparent access are realized, and the data consistency, the treatment efficiency and the system flexibility are remarkably improved.

The invention discloses an artificial intelligence auxiliary authentication method and system for data element right confirmation, and relates to the technical field of data element management and credible circulation. Comprising the following steps: data acquisition: acquiring a data product, an ownership statement and contract terms, and calculating an initial digital fingerprint of the data product; and ownership identification: extracting core value elements and features of the data product based on a multi-modal intelligent analysis model, quantifying value contribution weights formed by all links to the data product, and automatically generating a data element circulation graph. According to the method, the multi-modal intelligent analysis model is constructed, and the data product is deeply scanned and analyzed automatically, so that the dependence on predefined rules is reduced, and the intellectualization and automation of ownership identification are realized; by constructing an intelligent compliance verification model, data operation behaviors are monitored and compared in real time, substantive compliance control over the whole data use process is achieved, and a credible use closed loop is established.

A method and a system for building a knowledge base for industrial use and using the knowledge base to manage and control industrial products, processes, resources and systems. The knowledge base uses semantic processing modules and artificial intelligence tools to enable continuous extraction and entry of knowledge into the knowledge base from various sources including user inputs, operation status reports, manuals, websites, diagnosis reports, sensor data, operation sequence, and other static or ephemeral sources. The knowledge base is supported by a knowledge base management system that includes a suite of tools to support knowledge entry, update, retrieval and visualization using both natural language based queries and structured queries with predefined syntax. The system also provides tools to retrieve and assemble knowledges on-the-fly to support industrial applications including to design products, services or production lines, build production process, manage scheduling and flow, monitor and optimize operations, diagnose issues, apply business logics, procure materials and supplies, manage and train workforce, and provide customer supports.

In some implementations, a cybersecurity system is provided for summarizing network security investigations. The system receives a request to summarize an investigation sequence performed in response to a computer security incident, retrieves tokenized elements that correspond to the investigation sequence, and provides the tokenized elements to a large language model (LLM) for translation into a data operation format. The system receives, from the LLM, and for each tokenized element, a corresponding translated data operation. For each translated data operation, the system submits the translated data operation for execution by a data source, and receives a corresponding data operation response. The system performs a summarization process of the investigation sequence, and outputs a natural language summarization.

The invention provides a clinical test data security sharing method and device based on a block chain. The method is applied to the technical field of data processing, and comprises the following steps: extracting feature dimensions corresponding to various types of data, and calculating corresponding data sensitivity coefficients; determining a data sensitivity level of the corresponding data category; extracting corresponding associated metadata; selecting a corresponding encryption algorithm to encrypt the data, and generating corresponding encrypted data and a data abstract; uploading the associated metadata, the encrypted data and the data abstract to a block chain node, constructing a clinical test data sharing account book, and recording a timestamp and a node signature of data operation; extracting identity authentication information and historical access records of visitors, and calculating access credibility; judging whether the visitor is allowed to acquire the decryption key or not; after the visitor obtains the encrypted data, the integrity in the data transmission process is verified based on the non-tampering property of the block chain. Therefore, the security of clinical test data sharing based on the block chain is improved.

The invention provides a network security malicious code binary search method and system, and relates to the technical field of data processing, and the method comprises the steps: calculating the multi-dimensional structural similarity between a to-be-detected binary file and each standard binary reference file based on a function level control flow semantic feature vector; determining a finally matched standard binary reference file according to the multi-dimensional structural similarity; performing fine-grained difference analysis on the binary file to be detected and the finally matched standard binary reference file to obtain a fine-grained difference analysis result; and on the basis of a fine-grained difference analysis result, in combination with sensitive data operation behavior feature detection, judging whether the to-be-detected binary file is a maliciously tampered version, and positioning a malicious code injection point. According to the method, the defects that in the prior art, dependence on fixed features is too high, and compilation optimization is sensitive are overcome.

The invention discloses a hydropower station data operation and maintenance method, which comprises the following steps of: arranging a sensor network on hydraulic facilities and electromechanical gold junction equipment, acquiring data, preprocessing the data, registering in space and time scales, converting data signals into acoustic, optical and electric signals, and transmitting the acoustic, optical and electric signals to a server; the method comprises the following steps: performing signal fusion of a three-dimensional sonar signal and an RGB image based on an attention concentration mechanism, performing deep analysis on data, extracting a sensor data mode of hydraulic facilities and electromechanical junction equipment under normal working condition operation, establishing a fault diagnosis model, performing real-time diagnosis on the hydraulic facilities and the electromechanical junction equipment, and constructing a response decision knowledge base. Establishing a hydropower optimization scheduling model, and displaying the information of the hydropower station; the system integrates the Internet of Things, big data, artificial intelligence, cloud computing, BIM three-dimensional modeling and digital twinning technologies, realizes real-time monitoring, intelligent diagnosis and optimal scheduling of equipment and facilities of the hydropower station, and improves the overall digital intelligent operation management level of the hydropower station.

The invention relates to the technical field of data sharing, and discloses a supervisible data security sharing method and equipment based on a three-chain architecture, and the method comprises the steps that a user submits a data sharing strategy to a strategy contract, the contract generates a strategy verification key and returns the strategy verification key, and the user creates a temporary symmetric key and a data identifier; packaging into a security token and encrypting by using a supervision chain public key to finish strategy registration and key initialization; and the user transmits the encrypted security token to the storage chain through the relay chain, the relay chain verifies the identity of the user and then forwards the token, and the storage chain verifies that the contract decrypts the token by using the private key of the supervision chain. Through a three-chain architecture, zero-knowledge proof and an anti-quantum evidence storage mechanism, data operation compliance can be verified through a non-tampering operation evidence storage chain, the risk of sensitive information leakage caused by opening of supervision authority is reduced, the defect that encrypted data is difficult to audit is overcome, a cross-chain security token fusing mechanism is utilized to resist communication threats, and the safety of the system is improved. And privacy protection and supervision compliance are dynamically balanced.

The invention provides an embedded system based on NVME oF RDMA. The system comprises an initiating end, a target end and an NVME-oF Target unit, wherein the initiating end is used for initiating a data reading request or a data writing request to a storage target of the target end; the target end is used for executing corresponding data operation according to the request of the initiating end; the initiating end is connected with the target end through an optical fiber; the NVMe-oF Target unit is arranged in the target end, and the NVMe-oF Target unit is arranged in the target end; according to the system, a software and hardware collaborative storage access architecture is constructed, and a kernel protocol stack bypass mechanism is adopted, so that the processing delay in a data transmission path is effectively reduced, the real-time requirement in an embedded scene is met, and the high-delay bottleneck of data transmission on a standard Linux platform is solved.

The invention discloses a big data governance method and system based on a rule engine, belongs to the technical field of big data processing, and aims to solve the technical problems of low efficiency, slow response and rule stiffness in the current data governance process. Comprising a data access layer used for collecting data from each data source; the metadata management module is used for constructing a knowledge graph based on the metadata; the rule engine module is used for constructing a rule base; the data quality evaluation module is used for analyzing and evaluating the multi-source heterogeneous data based on the rule base; the authority control and compliance auditing module is used for performing authority control and performing compliance analysis on data operation through a preset compliance scale board based on an auditing log; the governance engine module is used for carrying out governance operation on the multi-source heterogeneous data based on the data quality analysis result to form a data governance execution result; and the feedback optimization module is used for optimizing the AI large model based on the data governance execution result.

An apparatus and a method for performing an authenticated encryption with associated data (AEAD) operation of an encrypted instruction and a golden tag stored in a memory device in an event of a cache miss are provided. The apparatus includes a bus control circuit, a block buffer, a tag buffer and an AEAD circuit. The bus control circuit receives a read address from a cache for reading the encrypted instruction and the golden tag from the memory device. The block buffer receives and stores the encrypted instruction from the bus control circuit, wherein a size of the block buffer is preset to be N times a size of one cache line. The tag buffer receives and stores the golden tag from the bus control circuit. The AEAD circuit performs the AEAD operation upon the encrypted instruction and the golden tag to check whether the encrypted instruction is tampered or not.

The invention is suitable for the field of computer system structures, and provides a multi-core consistency dynamic synchronization method and system based on an RISC-V. The method comprises the steps that the core of a multi-core processor is spatially divided into n consistency domains, each consistency domain is configured with an independent area directory cache and an independent RCC, and transactions in the area are locally processed by the corresponding RCC; when a core in the consistency domain initiates a data operation request, the RCC to which the core belongs checks the state of target data in the consistency domain; according to the data state, the RCC carries out internal synchronization in the consistency domain by adopting an optimized broadcast protocol, or carries out directory type point-to-point communication with other consistency domains through the GDSA to realize cross-domain synchronization; on the premise of ensuring strict consistency, communication delay and energy consumption are remarkably reduced, the overall throughput and expandability of the system are improved, and an efficient consistency solution idea is provided for the RISC-V multi-core processor.

A blockchain-verified data tracking system provides enhanced data privacy management through selective masking of blockchain ledger fields. Data transactions associated with a data set are detected and recorded in a blockchain ledger, with certain data fields masked based on a blockchain permission scheme. Network nodes can store and transmit blockchain updates, generating a distributed and secure record of data transactions. The selective masking enables different levels of access to sensitive information based on user roles, permissions, or other criteria, facilitating compliance with data protection regulations while supporting data operations and analytics.

The invention provides a construction method of a business element knowledge base and a local data analysis method based on the business element knowledge base. The business meta-knowledge base comprises table structure definitions for a plurality of business scenes, business rule documents and analysis templates. The local data analysis method based on the business meta-knowledge base comprises the following steps: receiving a user demand; generating a prompt instruction based on the user demand and the business meta-knowledge related to the user demand; sending the prompt instruction to the large language model, and receiving a structured data operation statement which is returned by the large language model and is generated based on the prompt instruction; and executing the structured data operation statement locally to obtain an answer to the user demand. According to the method, the business meta-knowledge base is constructed, then interaction between the local data and the large language model is achieved through the business meta-knowledge base, efficient data analysis is achieved through the large language model, and meanwhile the privacy security of the local data can be protected.

The invention discloses a non-inductive cooperative regulation and control method and device for flexible loads in a building and a medium. The method relates to the field of power control, and solves the problem that a high-precision and quick-response flexible load regulation and control scheme is lacked. According to the method, the problem of space-time correlation adaptation of the equipment is solved by collecting the running state, environment and personnel distribution multi-source heterogeneous real-time data of the equipment, constructing the topological dynamic graph of the equipment, outputting nonlinear space-time correlation information and capturing the dynamic thermal-mechanical coupling relation between the equipment in real time. A personalized regulation and control instruction is generated by an independent decision-making unit to replace a fixed threshold value; coupling disturbance is predicted in combination with associated information, initial PID parameters are compensated, it is ensured that the temperature adjusting amplitude is converged to a user perception threshold value, and frequent starting and stopping of equipment are avoided. The independent decision-making unit and PID compensation are both based on local data operation, and the instruction response period is shortened; differentiated control instructions are converted according to equipment sensitivity, a high-sensitivity area is finely regulated and controlled to ensure comfort, and a low-sensitivity area preferentially responds to power grid peak clipping.

A computer-implemented method receives a request to explain a configuration key which represents a set of rules for controlling a process flow of an entity of an enterprise resource planning (ERP) system, the set of rules defining a data operation scheme based on a plurality of tables stored in a database of the ERP system. The method generates a data object from the plurality of tables, the data object including a group of key-value pairs which collectively define the set of rules, preserving the hierarchy of the involved tables. The method generates a prompt based on the data object generated from the plurality of tables, prompts a large language model using the prompt, receives a response from the large language model, and based on the response, outputs an explanation of the configuration key summarizing the set of rules in natural language. Related computing system and software are also disclosed.

The invention provides an artificial intelligence processor, an electronic device and a data transmission method. The artificial intelligence processor comprises a first sub-communication device configured to receive at least one first data packet of a first type and a second data packet of a second type associated with the at least one first data packet from a first other artificial intelligence processor through a communication network, the second data packet instructs the first other artificial intelligence processor to continuously send at least one first data packet until the second data packet; a data operation unit configured to receive data packets of a first type and data packets of a second type from the first sub-communication device, the first sub-communication device further configured to respond to the data operation unit to receive all of the at least one first data packet from the first sub-communication device; the second data packet is sent to the data operation unit. The artificial intelligence processor can confirm whether data transmission is completed in a convenient manner.

The invention discloses a bandwidth allocation method and device for a namespace, and the method comprises the steps: receiving an operation request, and determining a target namespace for which the operation request aims in an SSD (Solid State Disk); obtaining the capacity of the target namespace and the total bandwidth of the NAND Flash end of the SSD, determining active namespaces when the operation request is received, and obtaining the sum of the capacities of all the active namespaces; wherein the active namespace refers to a namespace with data operation in a preset time period; obtaining a capacity ratio between the capacity of the target namespace and the determined sum of the capacities of all the active namespaces; and allocating bandwidth for the target command space according to the total bandwidth of the NAND Flash end and the obtained capacity ratio, and executing the received operation request according to the allocated bandwidth. Therefore, the overall bandwidth utilization rate is improved.

The invention provides a zero-trust-based dynamic data secure transmission and processing channel construction device and method, and the method comprises the steps: S1, collecting to-be-transmitted data, and classifying the data to obtain a data classification result; s2, based on the data classification result, the user identity information and the environmental risk information, a dynamic security policy is generated, and the dynamic security policy comprises an encryption algorithm selection rule, a trust evaluation threshold and a data operation authority policy; according to the invention, the fine-grained security policy is generated and continuously adjusted by dynamically sensing the data sensitivity and the real-time trust state, so that the full-link self-adaptive security protection from transmission to processing is realized; according to the method, the security multi-party calculation is seamlessly integrated in a high-sensitivity scene, so that the end-to-end security and privacy protection level of data in a cross-domain and multi-participant environment are remarkably improved while the data mobility is guaranteed, and the problem that a traditional static security mechanism is difficult to adapt to dynamic risks is effectively solved.

The invention discloses an auditing method and device during function execution in reproductive medical service. A server side method comprises the steps that an information operation request sent by a client side is received; the information operation request carries a globally unique identifier and auditing parameters of the patient; checking whether the information operation request has an operation authority or not; when the information operation request has the operation authority and the parameter state of the auditing parameter is to-be-stored, performing data desensitization on original medical information in the auditing parameter to obtain to-be-stored medical information; constructing a first operation log based on a data operation function expression and a service attribute in the audit parameter; and storing the to-be-stored medical information to the medical data table by adopting the global unique identifier, and storing the first operation log to the audit data table. By adopting the embodiment of the invention, the security of data transmission and storage can be improved. Meanwhile, the operation behavior of each link is accurately recorded and monitored through a refined management mode, and the transparency and traceability of data are improved.

The present storage solution provides an order of operations of a computer-implemented method that includes implementing a primary-First principle with a first data Op received by the primary storage site being executed on the primary storage site and then replicated to the secondary storage site and a second data Op received by the secondary storage site being first replicated to the primary storage site. The method further includes acquiring overlap write manager (OWM) lock locally on the primary storage site for the first data Op if there are no conflicting ops that are already inflight working on an overlapping range, sending the first data Op to a file system of the primary storage site to modify the file system as per primary-first principle, and suspending any new Ops from the primary storage site that have an overlapping range that overlaps with a range of the first data Op.

Systems and methods for integrating generative artificial intelligence (AI) within Software-as-a-Service (Saas) platforms to automate data operations, synchronize cross-platform workflows, and enable intent-based interactions. A platform displays table structures of items and characteristics linked to a common objective, provides input interfaces, and enrolls AI agents as credentialed users with read / write privileges. The system prompts agents with column types, structural relations, and role profiles to generate and execute editing instructions that progress workflow objectives, detect missing or inconsistent data, and notify users or request information as needed. Hierarchical access schemes permit multiple agent instances with inherited privileges and resource limits managed through an AI center. Agents can operate as autonomous team members, analyze outputs, and support natural-language explanation sessions. Additional embodiments coordinate inter-service updates, maintain deviation detection tools, and construct tailored products and platform elements. These capabilities improve robust automation, decision support, and operational efficiency in complex SaaS environments.

One embodiment sets forth a technique for implementing data abstraction layers via a data gateway. According to some embodiments, the technique can include the steps of receiving a request to generate a data abstraction layer instance, where the request includes a set of configuration parameters, identifying, based on the request, a data abstraction layer among a plurality of data abstraction layers implemented by the data gateway, performing at least one operation to generate the data abstraction layer instance based on the data abstraction layer and using the set of configuration parameters, and causing at least one additional request to be routed to the data abstraction layer instance for processing. Another embodiment sets forth a technique for performing data operations using data abstraction layer instances implemented by the data gateway.