16 results about "Enterprise information system" patented technology

The invention discloses a multi-source heterogeneous data fusion method based on dynamic loading. The multi-source heterogeneous data fusion method is applied to the field of data fusion integration of different data sources and different structures. The method comprises the following steps: (1) constructing a reliable data acquisition layer comprising a main data platform, a unified data integration interface service realized based on message middleware, and an integrated log management module; (2) in a data loading and data processing stage, cleaning and integrating data by adopting dynamic fragmentation and streaming processing, and constructing a multi-level authority control function based on role and data attribute matching and a full-process data transmission and storage encryption and decryption function based on an annotation technology aiming at a data security problem; and (3) constructing a user-defined data display layer. The method mainly solves the problems that data transmission is unreliable, authority control is dispersed and granularity is inconsistent in data processing, and dynamic data cannot be displayed in a user-defined mode, and an effective method is provided for full-process data fusion of a discrete manufacturing enterprise information system.

The invention discloses an MCP data acquisition system and method for autonomously arranging and self-correcting calling of a target system interface API based on a large language model, and belongs to the technical field of enterprise information system integration and intelligent data processing. The method comprises the following steps of: firstly, automatically acquiring an API (Application Program Interface) document, interface parameters and authentication requirements of a target system, performing semantic analysis on structured and unstructured contents in the document, and extracting interface fields, parameter types, response structures and error code information; then, based on a document analysis result and actual interface calling feedback, API semantic inversion and dependency relation recognition are executed, and the field purpose, the parameter input and output relation, a paging mechanism and an interface calling link are automatically deduced. According to the method, the heterogeneous API interface document can be automatically analyzed, the calling chain can be automatically generated, self-error correction and self-adaptive optimization can be realized in the calling process, the API docking cost can be greatly reduced, and the stability and the automation degree of interface calling are improved. Meanwhile, multi-source data from an energy system, a logistics system and a supply chain system can be subjected to semantic recognition and automatic mapping, the requirements for data collection and standardization in the first range, the second range and the third range of carbon emission are met, and end-to-end automatic integration and processing of carbon emission data are achieved. The method has high universality, strong robustness and continuous evolution capability, and is suitable for various business scenes such as enterprise carbon accounting, cross-system intelligent data integration, system API management and automatic operation and maintenance.

This application relates to the technical field of network and information security, and discloses an account security inspection system based on the RDP protocol. It uses the WinRM protocol as the core remote execution protocol, while also supporting the RDP protocol as an alternative connection method, enabling agentless remote management of Windows hosts. The system employs a multi-dimensional security inspection module covering more than 20 security checks, including password policies, account locking, user permissions, and login auditing. It supports all versions of Windows Server 2008 to 2022 through a cross-distribution compatibility mechanism. It utilizes a dynamic load-aware concurrent inspection engine to process log analysis and embedded account scanning tasks in parallel, and automatically identifies abnormal changes to account information through baseline comparison with integrity protection and a permission change awareness module. This invention requires no software deployment on the target host, is non-intrusive to the production environment, and can efficiently complete account security checks on large-scale Windows assets, significantly improving the account security protection capabilities of enterprise information systems.

Apparatus and methods for providing a co-browsing session between an artificial intelligence (“AI”)-equipped customer assistance digital robot (“bot”) and a user of an enterprise information system portal. The methods may include receiving, by the bot, on a first channel that is accessible by the user from the portal, from the user, performing an operation on a working web page. The working web page may be accessible by the user via the portal from a second channel. The second channel may be accessible by the user from the portal. The second channel may be different from the first channel. The second channel may be in communication with a user-activity monitor. The user-activity monitor may be configured to collect and serve user-activity data. The bot may be a bot that does not have permission to access the user-activity monitor.

The invention belongs to the technical field of informatization and intelligent manufacturing of ferrous metallurgy enterprises, and discloses a dynamic value optimization and self-adaptive disposal system and method for steel and iron material excess materials, and the method comprises the steps: obtaining steel and iron material excess material data and steel and iron material related data from an enterprise information system database, and carrying out the data integration processing; according to a data integration processing result, carrying out size changing scheme matching on the steel and iron material remainder, and obtaining a size changing benefit value of a size changing scheme based on an economic benefit measurement and calculation model; setting a target benefit value and a target library age of the steel and iron material remainder, acquiring the current library age of the steel and iron material remainder, performing dual threshold decision logic judgment in combination with the scale change benefit value, generating system recommendation, performing final selection of a scale change scheme in combination with manual reexamination, acquiring a scale change execution instruction, and issuing the scale change execution instruction to an execution system; according to the method, dual threshold decision logic judgment is carried out on the residual materials, the dynamic value of the residual materials can be optimized, and the residual materials can be subjected to rapid and accurate size changing treatment.

This invention provides a food inspection method, equipment, and medium based on industrial big data. By deploying sensors on the production line and the enterprise information system, it collects and stores multi-source industrial big data in real time. The collected multi-source industrial big data is preprocessed, and a deep autoencoder model is trained using historical normal batch datasets to determine the dynamic reconstruction error threshold for food quality characteristics. During online detection, the real-time data stream is input into the deep autoencoder model to calculate the reconstruction error. If the error exceeds the threshold, an early warning is triggered, and the feature variable with the highest contribution rate is located. Using the located feature variable with the highest contribution rate, combined with association rule mining, suspicious risk sources are output. This invention achieves reduced false alarm rates and improved detection sensitivity by generating a dedicated dynamic threshold, locating abnormal contribution rates, and then combining association rule mining to trace risk sources, thus achieving closed-loop real-time quality control from early warning triggering to risk source output.

The present application provides an enterprise knowledge graph automatic construction and intelligent retrieval method, the method comprises the following steps: collecting multi-source data from heterogeneous enterprise information systems, performing data cleaning and standardization processing; and based on the comprehensive scoring mechanism of field similarity and behavior semantic vector, merging the entities from different systems to generate a standard entity set with unique identification; based on the standard entity set, combining the scoring mechanism of task-type relationship and collaborative relationship, extracting semantic relationship from behavior records to construct enterprise knowledge graph structure; extracting representative semantic paths from the knowledge graph structure, screening high-quality paths through a path scoring model, and organizing them into a structured path index set; receiving a natural language query sentence, encoding the natural language query sentence into a semantic vector, matching it with the path index set, and executing a query in the graph and returning the result in combination with the permission control mechanism.

The invention belongs to the technical field of log analysis and intelligent operation and maintenance, and discloses a rare earth industry-oriented mass log data intelligent association analysis method and system. Aiming at the problems that traditional log analysis depends on manpower, the efficiency is low and cross-system association is difficult to discover, heterogeneous log data generated by multiple systems are converged, and a mode self-learning algorithm is adopted to automatically identify a log format and extract structured information; performing association mining on the log events based on time sequence co-occurrence analysis and semantic similarity analysis; and constructing a log event association graph, and automatically locking a fault source from massive association events by adopting a causal reasoning algorithm. According to the method, the fault positioning time is shortened from the hour level to the minute level, the root cause locking accuracy is 95% or above, and the method is suitable for operation and maintenance monitoring and fault diagnosis scenes of a rare earth enterprise informatization system.

This invention belongs to the field of information security technology and provides a security risk assessment platform for enterprise information systems based on big data analysis. The platform includes collecting visitor access behavior characteristic data of asset nodes in the enterprise information system; then, quantifying the probability of security damage based on the degree of abnormality of the access behavior, and integrating multi-dimensional behavioral characteristics to generate a comprehensive probability of damage to the asset node by the visitor; based on this, aggregating the probability of damage to the same asset node by all visitors to generate a comprehensive probability of damage and a comprehensive risk score for that asset node; finally, weighted fusion of the risk scores of each asset node to obtain the overall security risk score of the enterprise information system, completing the risk assessment. This invention achieves quantitative assessment of security risks of enterprise information systems, improves the objectivity and accuracy of risk assessment, quantifies visitor behavior risks and establishes a probability model, reduces subjective reliance, and thus more effectively identifies and responds to security threats.

The invention discloses a multi-system fused wooden door manufacturing enterprise information system integration architecture and method, which adopts a layered loose coupling design, and comprises an enterprise operation layer which comprises an enterprise resource planning system for order and financial management and a product life cycle management system for product model and process management; the planning and scheduling layer comprises an advanced planning and scheduling system which serves as a planning decision center and carries out limited productivity simulation and optimized scheduling based on multi-source real-time data, and the manufacturing operation layer comprises a manufacturing execution system used for production execution and monitoring and a warehouse management system used for fine management of materials. By constructing a unified data model, adopting an event-driven loose coupling collaboration mechanism and establishing a middle platform for converging real-time manufacturing data, full-process digital communication and intelligent linkage from customer orders, product design, material supply, intelligent scheduling, manufacturing execution to warehouse logistics are realized.

A business linkage processing method and apparatus for an enterprise information system, a computer program product, and a readable storage medium, the business linkage processing method comprising: receiving configuration information, the configuration information being used for establishing a custom association field associated with a second business object for a first business object; in response to a preset first linkage triggering condition, packaging a first event message containing the state data of the first business object, and sending the first event message to the asynchronous communication medium; in response to the situation that a first event message in the asynchronous communication medium is monitored and grabbed, triggering and executing a second business object based on the user-defined associated field; wherein the packaging and sending of the first event message and the monitoring and capturing of the first event message are executed asynchronously. By adopting the scheme, the association relationship between the business objects is configurable, the linkage rule between different business modules can be defined without modifying a program code, and the flexibility and maintainability of the system are improved.

The application discloses a processing method and device of a system element, a program product and an electronic device, relates to the technical field of artificial intelligence, and the method comprises the following steps: performing semantic coding on standard words in a standard dictionary to obtain standard vectors, and constructing a standard vector knowledge base based on the standard vectors and standard word information corresponding to each standard word; performing semantic coding on original elements in an information system; inputting the original vectors obtained through coding into the standard vector knowledge base for semantic matching; performing compliance verification on the original elements based on M similar standard words obtained through matching, wherein the compliance verification comprises at least one of name semantic sub-verification, description text semantic sub-verification, enumerated value semantic sub-verification and enumerated value sequence sub-verification; in the case that the original elements are not compliant, generating a rectification scheme of the original elements based on the compliance verification result, and processing the original elements based on the rectification scheme. The application solves the technical problem of non-standard element setting in an enterprise information system.

The invention provides a label generation method and device and a medium, and relates to the field of data processing. The method comprises the following steps: acquiring unstructured text data in an enterprise information system, wherein the unstructured text data is a natural language text which is not formatted; performing context analysis on the unstructured text data by utilizing a large language model to generate an initial label set; and processing the initial label set based on a preset rule to form a cross-hierarchy label structure, the cross-hierarchy label structure comprising at least two label layers with different semantic dimensions, and establishing an association relationship network between the label layers. According to the invention, the hysteresis of label updating is reduced.

The application relates to the technical field of operation and maintenance management, in particular to a big data-based information system comprehensive operation and maintenance management platform method and system, which comprises the following steps: collecting system operation data of a specified enterprise information system in real time, storing and preprocessing the system operation data, and outputting a system operation data set; performing time axis calibration and fusion processing on the system operation data set, and outputting a multidimensional correlation data set; establishing a dynamic correlation model based on the multidimensional correlation data set, monitoring abnormal conditions in real time, and outputting an early warning level; matching a candidate treatment scheme set based on the early warning level; selecting an optimal treatment scheme from the candidate treatment scheme set based on a preset screening rule and executing the optimal treatment scheme; and outputting an execution effect evaluation result of the optimal treatment scheme and feeding back the execution effect evaluation result to a preset big data platform. The application has the advantages of real-time discovery of equipment hidden dangers and automatic selection of optimal solution effects.

The invention provides a carbon metering method based on transaction path credible tracking carbon emission flow positioning identification, and belongs to the field of power supply chain carbon emission. The block chain intelligent contract is in butt joint with a power market, a dispatching center and a power generation enterprise information system, and real-time and multi-source heterogeneous data collection and safe chaining are achieved. According to the method, multi-dimensional feature clustering and path topology analysis are fused, a power transaction path is dynamically decomposed, and a high-frequency carbon flow joint point is identified. And finely calculating the carbon emission of each path section by combining real-time equipment parameters and multivariate correction factors through a segmented weighted correction carbon emission algorithm. And introducing subject-object collaborative weight allocation and credibility adjustment to realize carbon flow attribution and whole-process tracing. The system supports carbon footprint traceability authentication, enterprise green purchase, quota distribution and multi-level visual analysis, and ensures that the whole process of carbon measurement data is safe, transparent and traceable.

The invention relates to the technical field of computers, discloses an intelligent business finance and tax data analysis and decision method and system, and aims to solve the problems of weak business finance and tax data integration capability, poor model generalization, insufficient real-time analysis and decision closed loop deficiency in the prior art. The method comprises the following steps: acquiring original business, financial and tax data through an enterprise information system interface; executing standardized cleaning and generating a structured data set; performing cross-system association based on the unified credit code and the timestamp, and constructing a three-dimensional association matrix; multidimensional dynamic characteristics including income acceleration, cost fluctuation, tax deviation and the like are extracted; according to the method, deep fusion of multi-source data is realized by establishing the business finance and tax knowledge graph, the model prediction precision is improved by adopting multi-scale dynamic feature coding, the environmental adaptability is enhanced in combination with an online learning mechanism, the decision response time is shortened through quantitative analysis and visual interaction, and the operation agility and compliance management and control capability of an enterprise are remarkably improved.