30 results about "Enterprise information management" patented technology

The invention discloses an enterprise information intelligent management method and system based on big data, and relates to the technical field of big data analysis, and the method comprises the steps: carrying out the data degradation analysis processing of to-be-managed enterprise information; and carrying out comparative analysis processing on the data degradation difference value. According to the method and the device, the data degradation difference value is determined by performing data degradation analysis on the enterprise information to be managed, the data degradation difference value can display the access times and the access frequency of the enterprise information, and the calling condition of the enterprise information can be determined by performing comparative analysis on the data degradation difference value subsequently; in addition, even if the number of calling times of some enterprise information is small, the enterprise information cannot be directly deleted, data or blood relationship analysis needs to be carried out on the enterprise information, whether the enterprise information has relevance with other enterprise information which does not reach the retention period or not is determined, and if the enterprise information has relevance, the enterprise information which does not reach the retention period needs to be deleted. And the data are also reserved, so that the integrity of the data during calling is ensured.

This invention discloses a closed-loop management and method for the entire lifecycle of enterprise strategic planning, relating to the fields of enterprise information management and network security technology. It involves acquiring the enterprise strategic plan and creating a separate version after each change; encrypting the version and obtaining a hash fingerprint; storing the hash fingerprint and unique version number in a decentralized manner; storing the encrypted version and key on a cloud server; when a user accesses the platform, network traffic characteristics are collected and input into a network security analysis model trained by a spatially limited multi-stage exploration algorithm to determine the security monitoring results; if secure, the target version data is scheduled and its integrity is verified using the decentralized hash fingerprint; after successful verification, the data and the key encrypted with the user's public key are securely transmitted to the user. This achieves absolute tamper-proof and closed-loop traceability of the strategic planning version, and improves the accuracy of network environment perception through a multi-stage exploration algorithm, constructing a highly secure data access and transmission defense line.

The invention provides a FastGPT knowledge base-based visual form generation method, a medium and equipment, and belongs to the technical field of artificial intelligence. Comprising the following steps: collecting form design data from a business system, cleaning the data and extracting key fields to obtain original JSON data of a form; original JSON data of the form is imported, and a knowledge base of form design is constructed based on a knowledge base function of a FastGPT system; searching answer content in the knowledge base according to question content queried by the user; using a large-scale pre-training model to generate form JSON data in combination with the context understanding ability and the retrieval result, extracting form information from the form JSON data, and presenting form content; and regularly learning a form mode from newly collected form design data, and updating the current knowledge base. The method is applied to the fields of enterprise informatization management, automatic office business and the like, the form design efficiency and quality can be effectively improved, and the labor cost is reduced.

The present application relates to the technical field of loading system, in particular to an intelligent unattended quick loading system; the intelligent loading system of the present application takes automatic license plate recognition as a vehicle identity recognition means, combines with ground sale business logic, automatically controls the ground scale peripheral equipment, guides the vehicle to go up and down the ground scale, realizes the vehicle guidance under the warehouse, and according to the vehicle information, carries out the loading operation of the specified coal quality and quantity, registers the delivery information, prevents the weighing cheating, automatically loads the vehicle, prints the bill and realizes a series of intelligent operation such as the single inspection and factory delivery, and effectively connects with the sales system and enterprise information management system, and through increasing the digitalization and intelligent application, improves the work efficiency, reduces the manual participation and lowers the labor cost.

This invention relates to the field of enterprise information management and intelligent document processing technology, specifically to an AI-based enterprise management document automatic archiving system based on semantic analysis. The system includes a cloud-based multi-source heterogeneous data acquisition module and a base semantic anchoring module, a spatiotemporal business graph construction module, a semantic context gravity coupling calculation module, and a fluid archiving execution module. By acquiring the location characteristics and flow range of business interface nodes and data source nodes, the system divides data into sub-regions, periodically collects document flow data and business pulse flow data, generates basic semantic vectors and business state weights, constructs a dynamic graph, calculates real-time correlation gravity, and executes virtual view archiving and permission mapping switching. This invention achieves the synchronous evolution of document archiving location, document permissions, and business visibility, avoiding the formation of knowledge silos due to fixed folder structures.

The present application relates to the technical field of artificial intelligence and enterprise information management, in particular to a kind of industry and finance abnormal penetrating type traceability analysis method fusing reason-cause graph and meta-learning.The method first constructs reason-cause graph with event as node and logical relationship as edge from multiple source business data.When identifying financial abnormality, it is injected into the graph as a signal and analyzed by reverse propagation to locate the potential source event set.Further, a model trained by meta-learning is called, which can quickly adapt to new abnormalities and accurately determine the root cause business event from the potential set by comparing historical patterns.Finally, a traceability report containing complete causal evidence chain and auditable details is automatically generated.The present application realizes the automatic, intelligent and accurate positioning from financial digital abnormality to deep business root cause, and solves the pain points of low efficiency of traditional manual traceability and difficulty in discovering complex correlations.

The application relates to the technical field of enterprise information management and intelligent document processing, in particular to an AI enterprise management document automatic archiving system based on semantic analysis, which comprises a cloud end, a multi-source heterogeneous data acquisition module in communication connection with the cloud end, a base semantic anchoring module, a time-space business graph construction module, a semantic context gravity coupling calculation module and a fluid archiving execution module; the position characteristics and flow range division data sub-regions of business interface nodes and data source nodes are acquired, document flow data and business pulse flow data are collected in a timing mode, basic semantic vectors and business state weights are generated, a dynamic graph is constructed, real-time correlation gravity is calculated, virtual view archiving and permission mapping switching are executed; the application realizes the synchronous evolution of document archiving positions, document permissions and business visibility, and avoids the formation of knowledge islands caused by fixed folder structures.

This invention discloses a method, device, and medium for multi-platform order synchronization processing, belonging to the field of enterprise information management technology. It addresses the technical problems of low order processing efficiency, high error rates, and asynchronous information between orders, as well as high labor costs in existing multi-platform e-commerce management. The method includes: acquiring raw heterogeneous order data from different e-commerce platforms through an API interface adapter; standardizing and converting the raw heterogeneous order data to obtain standard order data; integrating the standard order data with various business tasks under a relevant business rule engine to obtain customized order data; synchronizing the customized order data with relevant enterprise systems and obtaining order process feedback information based on order update information; and visually configuring both the customized order data and the order process feedback information through a visual management backend to obtain order process monitoring information.

The present application relates to the technical field of enterprise information management and risk control, and particularly relates to a contract compliance dynamic management and control system and method based on data linkage. The contract compliance dynamic management and control system based on data linkage comprises: a data fusion module, which is used for automatically connecting and integrating internal business data sources and external compliance data sources of an enterprise to form fused data; a compliance monitoring module, which is used for performing real-time dynamic compliance verification on a contract execution process based on the fused data; a supplier verification module, which is used for performing multi-dimensional compliance cross-verification on a supplier at a key node of contract execution based on the fused data; and an early warning and tracing module, which is used for generating a graded risk early warning and performing full-link tracing on a risk event according to verification outputs of the compliance monitoring module and the supplier verification module. By establishing an automatic data connection and processing channel, deep fusion and real-time synchronization of internal and external compliance data are achieved.

The invention discloses a dynamic cost auditing method and system based on a process engine, and relates to the technical field of enterprise informatization management and process automation. The method comprises the following steps: collecting cost-related data from an enterprise business system; creating a cost auditing request based on the cost data; dynamically matching and instantiating a corresponding auditing process according to the attribute information of the auditing request through a process engine based on a BPMN standard; dynamically loading a corresponding auditing rule from the dynamic rule base; generating an auditing suggestion and a risk score in combination with an auditing rule and a machine learning algorithm; the auditor makes a final decision by referring to the auditing suggestion and the risk score; the audit result is fed back to related systems and personnel; and archiving and storing the auditing process data. Through organic combination of a process engine, a rule engine and an intelligent algorithm, automation, intelligence and dynamic of cost auditing are realized, the auditing efficiency and accuracy are remarkably improved, the cost risk is reduced, and powerful support is provided for cost management and control of enterprises.

A kind of enterprise information management system print data processing method and device, product, medium, print data processing method includes: receiving print data, generating editable table document;In response to formula contained in editable table document, trigger formula to complete calculation;Get the format parameter of editable table document, and determine conversion rule according to format parameter;Based on conversion rule, editable table document is converted into cross-platform format table document, and cross-platform format table document is pushed to the user end of enterprise information management system.The above scheme can be converted into cross-platform format table document on the server side to the editable table document, realize print format uniformity.Formula calculation is triggered actively before conversion, which avoids printing out wrong data after conversion.

The invention discloses an enterprise culture intelligent management platform based on context awareness and multi-modal interaction, and relates to the technical field of enterprise informatization management. According to the platform, a multi-source data access module collects enterprise business data; the culture content intelligent generation engine automatically generates multi-modal culture content through an AI technology; the context awareness interaction front end dynamically adapts to a content presentation form according to the equipment state and the user scene; the feedback analysis and optimization module analyzes dominant and implicit interaction data, establishes a content performance evaluation model and realizes push strategy optimization; intelligent production, situational distribution and data-driven optimization of enterprise culture contents are realized, and the problems of content production lag, single presentation form, subjective effect evaluation and the like in traditional culture management are solved.

The invention provides a modularized purchasing process configuration method and system in the technical field of enterprise informatization management, and the method comprises the steps: S1, packaging a business function of a purchasing process into a business component, and registering the business component to a component registration center; s2, after the access request is authenticated, a visual process designer is displayed; s3, the visual process designer selects business components from the component registration center based on the configuration instruction, carries out process arrangement on each business component so as to associate the business components to corresponding process nodes, and configures component parameters so as to generate a purchase process; and S4, based on the purchase process starting request, calling a purchase process of a corresponding version through a process execution engine, loading an associated service component from the component registration center based on a process node of the purchase process, and executing a corresponding service logic based on an execution method of the service component. The method has the advantages that the flexibility and maintainability of purchasing process configuration are greatly improved, and the development cost is greatly reduced.

The invention provides a business opportunity full-link inquiry and collaborative decision-making method and system in the technical field of enterprise information management, and the method comprises the steps: receiving a business opportunity creation request through a server, and processing a customer demand to generate structured business opportunity data; whether intelligent inquiry is started or not is determined according to the requirement definiteness and the quotation library matching degree, if yes, an order is dynamically sent to a purchasing terminal, the quotation library is updated and the business opportunity is associated after quotation is processed, then a scheme draft is generated based on business opportunity data, a business terminal adjusts the scheme draft, a quotation scheme document is generated, and operation and states are recorded in the whole process to form a digital file; and automatically generating a visual report for evaluating the conversion efficiency, the root cause and the performance through the analysis model. The business opportunity full-link management method has the advantages that the cooperation efficiency of business opportunity full-link management, the resource matching accuracy, the customer demand response speed and the data-driven decision-making ability are greatly improved.

The invention relates to the technical field of enterprise informatization management and multi-source data integration, and discloses a multi-source data standardization processing method and system based on ERP, and the method comprises the steps: obtaining an original data set of a purchasing system and an original data set of an inventory system, and generating a standardized data set; determining a field attribute mapping relationship between the purchase field and the inventory field; constructing a unified dimension conversion model to calculate a conversion factor to obtain a standardized data set; verifying the standardized data set to generate a qualified data set; constructing a service time sequence list on the basis, and obtaining an anomaly detection result; and generating final integrated data according to the anomaly detection result. According to the method, semantic alignment and dimension unification of multi-source data can be realized, and data consistency and decision accuracy are improved.

The invention discloses an enterprise information acquisition, analysis and management system, and relates to the technical field of enterprise information intelligent management. The method is used for solving the problems that traditional information collection depends on manpower, the analysis capability is weak, and the deployment efficiency is low; the system is composed of an information acquisition module, an information processing module, an enterprise information AI management module and a management execution module. The method comprises the following steps: automatically collecting enterprise sales information from network and entity channels through an intelligent algorithm, extracting high-value keywords by utilizing a graph model and semantic analysis, and constructing a structured information pool; according to the method, important information is identified and classified to the knowledge graph, an information deployment path is intelligently planned in combination with a graph neural network and a reinforcement learning strategy, and the deployment difficulty is comprehensively evaluated through entropy weight analysis, a regression model and deep learning, so that the optimal deployment sequence and automatic execution are realized; enterprises are helped to efficiently manage sales information resources, and the decision-making quality and the market response capability are improved.

The invention discloses an enterprise customer information management system and management method, and relates to the technical field of enterprise information management. The system comprises a customer basic information module, a space-time sequence analysis module, a geographic information association module, a data storage module and an interactive display module, the customer basic information module accurately processes missing values and abnormal values, and data quality and management efficiency are improved in combination with distributed storage; the LSTM model integrates multi-dimensional features, monthly updating ensures accurate purchase time prediction, and assists an enterprise in reasonable planning; the geographic information association module visually presents the relationship between the regional value and the associated enterprise through coordinate transformation, clustering analysis and GIS visualization, and optimizes resource configuration; in customer management, the system outputs purchase prediction and triggers collaborative early warning, and customer interaction is enhanced; a data verification feedback mechanism forms a closed loop, and the model is continuously optimized; the modules are flexible in communication and friendly in interface, and customer control, market prediction and decision-making capabilities of enterprises are comprehensively improved.

This invention provides a role-based multi-dimensional performance management system and method, relating to the field of enterprise information management technology. The system includes configuring functional permissions and data permission rules based on user roles; generating data filtering conditions based on the data permission rules corresponding to user roles and the organizational dimension field in core business data records to limit the data scope accessible to user roles; obtaining performance appraisal schemes configured for at least one user role; collecting business data from related business modules based on data source identifiers; and calculating and generating performance results according to scoring formulas. When key data affecting performance results changes, a change record is generated, the historical version of the original record is retained, and a confirmation process is triggered. Upon confirmation, the performance results are updated; upon rejection, the performance results before the change are maintained. This invention enables data permission control for different user roles, performance result calculation, and result management after changes to key data.

The application relates to the technical field of enterprise information management systems, and discloses an enterprise information management method and an enterprise information management system, the method comprising the following steps: calculating interaction demand information of a first system in a second system in enterprise information management; constructing an interaction strategy optimization semantic learning model in an interaction module, mapping internal fields of the first system and corresponding internal fields of the second system in the interaction demand information, so as to determine a plurality of interaction nodes in the second system; establishing corresponding interaction mapping nodes in the interaction module; when it is detected that data updating exists in the interaction demand information, determining an interaction node of the interaction mapping node to which to-be-synchronized data are synchronized, synchronizing updated interaction demand information in the interaction node to the interaction mapping node, and generating feedback data sent to the first system. The application is beneficial to solving the problem of data islands existing in the current enterprise information management.

The invention discloses an intelligent notification plug-in based on a nailing development platform and an implementation method. The implementation method comprises the following steps: S1, initializing the plug-in; s2, receiving a notification request; s3, generating a structured message; s4, precise pushing execution is carried out; s5, state real-time tracking; and S6, processing an abnormal event. The method relates to the field of instant messaging technology and enterprise information management. The plug-in is constructed based on a nailing open framework, deep coupling of a service system and nailing ecology is achieved through self-defined JSAPI extension, and the problems that in traditional enterprise notification, the touch accuracy is low, state feedback is lacked, privacy protection is insufficient, and the multi-scene adaptability is poor are solved. The plug-in core comprises an intelligent message processing module, a precise distribution module, a state tracking module and a safety control module, and automatic template generation of notifications, precise pushing based on user identification, full life cycle state feedback and sensitive information encryption protection can be achieved. Practical application shows that the plug-in can reduce the notification error rate by more than 90% and improve the feedback response efficiency by 30%, and is suitable for multi-industry enterprise information distribution scenes of personnel management, supply chain collaboration, medical service and the like. According to the technical scheme of the invention, through a bidirectional communication mechanism of the nailing JSBridge and the service system, the information security is ensured, and the enterprise notification circulation efficiency is remarkably improved.

The invention discloses a network security plan management system and method based on multi-dimensional quality evaluation, belongs to the technical field of enterprise informatization management, and aims to solve the technical problem of how to improve the overall protection level and management efficiency of enterprise network security. Comprising an operation plan management module which creates and manages an operation plan based on a configuration instruction; the task intelligent distribution module is used for generating operation tasks according to the execution period and the starting time of the operation plan and distributing the tasks to the plan executors based on a preset role grouping rule; the task execution and filling module supports an executor to fill data and check and store the data; the multi-stage auditing module supports an administrator to audit the submitted scheduled task; the operation quality evaluation module is used for generating a comprehensive quality evaluation result; and the abnormal error correction module is used for starting an online error correction approval process.

The invention relates to the technical field of application of computer data processing in enterprise informatization management, and discloses a national capital and national enterprise integrated management system and management method based on a supervision service fusion architecture. A dual-mode parallel engine is configured to realize dual-line parallel processing, when enterprise business data is received, compliance rule verification and service resource intelligent matching are executed at the same time through an algorithm, and a supervision result and a service recommendation list are fused and fed back, so that supervision-service integrated closed-loop processing of national asset businesses is realized. And the efficiency, timeliness and management efficiency of supervision and service are improved.

The application discloses an enterprise customer information management system and a management method, and relates to the technical field of enterprise information management; the system comprises a customer basic information module, a space-time sequence analysis module, a geographic information correlation module, a data storage module and an interactive display module; the customer basic information module accurately processes missing values and abnormal values, and improves data quality and management efficiency in combination with distributed storage; an LSTM model integrates multi-dimensional features, monthly updates guarantee procurement time prediction accuracy, and helps enterprises to reasonably plan; the geographic information correlation module directly presents regional value and the relationship between related enterprises through coordinate conversion, clustering analysis and GIS visualization, and optimizes resource allocation; in customer management, the system outputs procurement prediction and triggers collaborative early warning, and enhances customer interaction; a data verification feedback mechanism forms a closed loop, and continuously optimizes the model; each module flexibly communicates, the interface is friendly, and the enterprise customer control, market prediction and decision-making ability are comprehensively improved.

The invention relates to the technical field of enterprise information management, intelligent decision support and data association analysis, in particular to an enterprise operation information association system based on a cloud platform. Comprising an information node use frequency acquisition module used for acquiring a standardized use frequency in a preset time period; the value feedback processing module is used for acquiring normalized business value feedback related to the information retrieval path; the dynamic weight adjusting module is used for calculating and updating the association weight between the information nodes of the current time period; and the personalized path optimization module is used for generating an optimal information retrieval path according to the updated association weight between the information nodes in combination with the personalized preference weight of the specific user. According to the invention, the defect of static solidification of the information association rule in the traditional system is overcome, so that the information association can respond to the dynamic change of the enterprise business, the self-evolution is realized, and the reality and timeliness of the information association are ensured.

The invention relates to the technical field of enterprise informatization management, in particular to a sales order intelligent merging delivery method and system. The method comprises the following steps: acquiring sales order data of a target customer from a business management system through a business management system interface; querying a to-be-synchronized delivery record which is generated for the target customer but is not synchronized to the business management system in the intermediate layer data storage to obtain the corrected actual deliverable volume of each material; receiving a screening condition configured by a user through the operation interface, and filtering the sales order data according to the screening condition; receiving a target delivery quantity, arranging the filtered orders in an ascending order according to the business identifiers reflecting the order input sequence, and sequentially accumulating the actual delivery quantity of the materials corresponding to the orders; generating a delivery order according to an accumulation result, and writing the delivery order into the intermediate layer data storage; according to the invention, intelligent merging delivery of multiple sales orders can be automatically and accurately realized on the premise that data synchronization of the business management system is delayed.

The invention relates to the field of enterprise informatization management and financial automatic processing, in particular to an automatic invoicing system of an order system based on an automatic script, and the system at least comprises the following modules: an invoicing request triggering module, when an order meets a preset condition, the order system automatically generates an invoicing request, and triggers a subsequent invoicing process; the order data extraction and verification module is used for extracting information required by invoicing from the order database by the system and performing integrity and compliance verification; the automatic script execution module is used for simulating keyboard input and mouse clicking through a programming mode; and the invoice generation and write-back module is used for obtaining invoice information and writing back the invoice information to the order system after the tax platform returns an invoice issuing success result. Compared with a traditional manual operation or API direct connection scheme, the method has the following beneficial effects that the efficiency is improved, the error rate is reduced, the response time is shortened, platform dependence is avoided, the cost is reduced, and the expandability is high.

The application discloses an ERP system intelligent reminding method and system based on process state identification, relates to the technical field of enterprise information management and process intelligent control, and is used for solving the problems of inaccurate state identification, lagging and extensive reminding, easy shielding of key blocking tasks and insufficient closed-loop management in an ERP business process; by establishing process node rules and state field mapping relations, the current process node, node state, responsible object, entering time and overtime of a business document are identified; on the basis, a to-be-reminded task list is generated, a reminding plan is dynamically generated in combination with a task stay duration, an emergency degree, a node propagation amount, a state fluctuation amount, an over-limit expansion amount and a shielding correction amount, and reminding delivery, upgrade processing, state review and closed-loop management are completed, so that the ERP process tracking, reminding accuracy and business processing efficiency are improved.

The invention relates to the technical field of enterprise informatization management, in particular to a sales order intelligent merging delivery method and system. The method comprises the steps of obtaining a candidate sales order set; extracting a plurality of logistics business attributes of each order, determining a grouping identifier based on a combination value of the attributes, and classifying the orders with the same grouping identifier into the same order group; in each order group, the order lines are arranged in an ascending order according to the combination of the sales voucher creation date and the sales voucher number, the current available quantity of each material is sequentially simulated and deducted, the order lines are marked as full allocation or insufficient inventory, and an inventory allocation result of each order group is generated; after a confirmation instruction is received, delivery orders are generated in batches and submitted, fusing and rollback are executed on the group when submission fails, and other groups are not affected; according to the method, the order merging compatibility can be automatically judged, the inventory distribution process is rehearsed in advance, grouping-level abnormal isolation is realized during batch execution, and the accuracy and reliability of merging delivery are effectively improved.

The invention relates to the technical field of enterprise informatization management training, in particular to an enterprise digital learning training management platform based on AI and big data analysis, which comprises a production data interface module; the context-aware synchronization engine is used for receiving and analyzing the production context data, and dynamically identifying at least one target training theme related to the current or recent production activity according to a preset rule or model; the AI enhancement decision module is used for responding to the recognized target training theme and executing the following operations: based on the target training theme, retrieving and matching at least one associated training resource unit from the learning resource library module; and generating an enabling instruction comprising at least one training resource unit based on a predefined or dynamically calculated push strategy, and a client interaction module. According to the invention, production context can be sensed in real time, personalized learning is dynamically driven, and quantifiable verification and closed-loop optimization of the training effect at the production side are realized.

The invention discloses a comprehensive management and evaluation system for enterprise information, which belongs to the technical field of information management and comprises an information management unit which is bidirectionally connected with an evaluation database, an evaluation index setting unit, a data evaluation model and an evaluation management unit. An evaluation database is established by acquiring enterprise basic information, economic information, personnel information, product information and scientific and technological activity information, an enterprise technology innovation capability data evaluation model is constructed, corresponding evaluation indexes are formulated in cooperation with constituent elements of an evaluation index setting unit, and an enterprise technology innovation capability evaluation index system is formed. And the data evaluation model is adopted to comprehensively evaluate the technical innovation capability of the enterprise and generate an evaluation result and an analysis report, so that the operation condition of the enterprise information management system can be truly and effectively reflected, the technical innovation capability of the enterprise is comprehensively evaluated, and the enterprise can grasp, improve and improve the technical innovation capability level.