62 results about "Business integration" patented technology

The invention relates to the technical field of industrial safety, in particular to a factory safety intelligent management and control method based on a heterogeneous multi-system cross service fusion technology, and the method comprises the steps: collecting factory multi-source heterogeneous data, and carrying out the time-space alignment and fusion; constructing a risk assessment model based on a deep learning algorithm, and performing quantitative risk analysis on personnel behaviors, environmental parameters and equipment states; a dynamic grading early warning mechanism is established, and warning and automatic handling are achieved according to the risk grade; introducing risk trend prediction, and analyzing a risk evolution trend; and a safe closed-loop optimization mechanism is constructed, and self-adaptive adjustment of the management and control strategy is realized. According to the method, a full-process and dynamically-optimized intelligent safety management and control scheme is constructed, and comprehensive perception, quick response and continuous optimization of factory safety management are realized.

The invention discloses a cross-system business fusion workflow generation method and system based on a large model, and the method comprises the steps: obtaining a task demand, decomposing the task demand through a preset large model, and obtaining a plurality of subtask description steps; retrieving the sub-task description steps to obtain a plurality of pieces of related component information, and inputting the task demand, the sub-task description steps and the related component information into the large model to obtain component description information; and constructing a prompt template, and obtaining a workflow through the large model according to the prompt template, the task demand and the component description information. The working efficiency of business flow generation can be greatly improved, the labor cost can be reduced, the accuracy and applicability of workflow generation can be improved, and the method can be widely applied to the technical field of data processing.

The invention relates to the field of cold and hot data storage, in particular to a cold and hot data storage optimization method based on a large model, which comprises a business integration module, a data dependence module, a mode updating module, a cold and hot partitioning module and a file merging module, and is characterized in that the business integration module is used for collecting business data to form a training data set; the data dependency module is used for fitting business data to obtain a data consanguinity model, the mode updating module is used for predicting an access mode, the cold and hot partitioning module is used for calculating the heat of the data and performing dynamic scheduling, and the file merging module is used for automatically merging small files. A data storage structure is standardized, storage space is reduced, more efficient and more accurate cold and hot data classification can be achieved, the resource utilization rate of data storage hardware is improved, hot data response delay is reduced, the system storage utilization rate is remarkably improved, and the storage efficiency is improved.

The invention discloses an intelligent management and control method and equipment for an intelligent building and a medium, belongs to the technical field of intelligent buildings, and is used for solving the technical problems that subsystems are isolated, data query is inconvenient and intelligent guidance is lacked in maintenance in property management, maintenance and operation of the existing intelligent management and control technology for the intelligent building. The method comprises the steps of performing intelligent control on an equipment docking mode, a task distribution mode and a building business integration mode in a target building, and generating a building control service strategy related to equipment control; performing operation integration on various databases in the target building, and determining a data query service strategy under related data retrieval; performing question and answer interaction processing on the abnormal information in the target building to generate an intelligent question and answer service strategy under related abnormal answers; and carrying out multi-mode interaction control on the building control service strategy, the data query service strategy and the intelligent question and answer service strategy through a preset MCP protocol architecture so as to complete comprehensive response to a user instruction.

The invention discloses a cross-platform business system integration method based on a knowledge graph. The method comprises the following steps: S1, reading data from a business platform database and generating a field text, an entity identifier and a relation record; s2, inputting the field text into an ALBERT model, and generating a field semantic vector through a field word vector gating layer; s3, forming a triple according to the entity identifier and the relation record, and writing the triple into a knowledge graph; s4, inputting the triple into a TransH model, and generating an entity structure embedding vector through dynamic rotation updating of a relation vector and a hyperplane normal vector; s5, generating an entity embedding vector according to the field semantic vector and the entity structure embedding vector; s6, calculating a plurality of distances based on the entity embedding vectors to obtain the similarity of the cross-platform candidate entity pairs; and S7, performing repeated entity judgment on the similarity, and updating the knowledge graph. According to the invention, accurate alignment of cross-platform service entities is realized, the data fusion efficiency and consistency are improved, and the method is suitable for a multi-source service integration scene.

The invention discloses a business self-service handling terminal based on social security and an intelligent management method, and relates to the technical field of data processing and analysis, and the method comprises the steps: building an integrated business processing platform, and integrating various social security business rules and processes; real-time connection with a social security policy issuing system is established, and the platform automatically acquires latest policy information based on changes of social security policies; through a preset rule engine, automatically adjusting the business process and the handling requirement according to the latest policy; a standardized communication interface and a data format are adopted, so that real-time sharing and interaction of data are realized by self-service handling terminals of all regions and departments; a central management server is established, and all terminal devices are managed and monitored in a unified mode. Through multi-service integration, real-time connection, the rule engine, the standardized interface and the central management server, the efficiency, convenience and safety of social security service self-service handling are improved, and the adaptability and the cross-regional cooperation capability of the system are enhanced.

The invention discloses a core page performance judgment method, electronic equipment, a medium and a product, and relates to the technical field of data analysis, the core page performance judgment method is applied to a business integrated management system, the business integrated management system is used for managing a client system, and the method comprises the following steps: for any sub-application system in the client system, identifying each core page in the sub-application system, and determining the core page performance of the sub-application system; determining each key user using the sub-application system; and determining whether the performance index of the core page of the sub-application system reaches the standard or not based on the user behavior data of the sub-application system, each key user and each core page. The technical problem of how to determine whether the performance of the core scene used by the core user is affected or not is solved.

The invention relates to the technical field of gas business, and discloses a multi-business collaborative gas business system, which comprises a data acquisition and processing module, a business module integration and collaboration module, an optimization scheduling module and a real-time monitoring and feedback module, the data acquisition and processing module acquires operation data of gas equipment by using Internet of Things equipment, and performs primary processing on the acquired data through a data processing algorithm; the business module integration and collaboration module realizes data sharing and business collaboration of each business module through a collaboration algorithm; the optimal scheduling module is used for maintaining the gas equipment through an optimal scheduling algorithm according to the state and the cooperation result of each business module; the real-time monitoring and feedback module ensures efficient operation and stability of the system through a real-time monitoring and feedback mechanism, and based on a complex collaborative algorithm and multi-service integration, the gas service system can effectively realize data sharing and optimized collaboration among all service modules, and improve operation efficiency and service quality.

The invention discloses a bank customer complaint management platform construction method. The construction method comprises a business process, an intelligent solution, intelligent driving performance, data driving and attribution analysis. The business process is displayed by a mobile terminal interface; according to the intelligent solution, overall reporting of complaint data is automatically carried out, and related result information is returned according to an input intention of a user; according to the intelligent driving performance, complaint services and data are simplified into a billboard through integration and intelligentization; the data driver is used for integrating all data capabilities of the whole line; and the attribution analysis is used for integrating complaint whole-line businesses into the mobile terminal platform, and analyzing the reason of each complaint case one by one by virtue of attribution analysis. The invention aims to actively respond to complaint management work requirements of supervision departments, comprehensively improve complaint management quality and efficiency, ensure accurate control of the whole process of complaint events, and improve the professionality and efficiency of complaint management work.

The invention discloses a power grid operation and maintenance service management method based on an informatization means, and belongs to the field of network operation and maintenance, and the method comprises the steps: S1, building power grid operation and maintenance service integrated data information, and generating a multi-source data flow with a timestamp; s2, constructing an operation inspection operation relation model of the hierarchical knowledge graph, and carrying out semantic modeling on equipment, personnel and operation scenes to realize task and risk matching identification; s3, executing task dynamic assignment and resource reconstruction, and performing priority optimization and cross-region scheduling; s4, carrying out digital twin operation inspection site virtual replication, synchronously mapping sensing data and operation images, and realizing track, working condition and risk node visualization; s5, performing abnormal working condition closed-loop management, pushing abnormal data through event triggering, and forming iterative optimization in combination with historical feedback; and S6, forming comprehensive performance evaluation and data archiving, and uniformly incorporating task execution, risk response and equipment maintenance into an intelligent archiving system. The method has the beneficial effects that the power grid operation inspection efficiency, accuracy and traceability are improved.

This invention discloses a full-link intelligent reconciliation method, apparatus, device, and medium. The method includes: determining whether the payment information can be processed based on the received business settlement order; if so, processing the payment information based on the corresponding business settlement order to obtain corresponding reconciliation information and synchronizing the information; if the payment information cannot be processed, acquiring unprocessed business settlement orders, integrating them to obtain a business integration order, and determining whether there is matching payment information; if so, processing the payment information based on the matching business integration order to obtain integrated reconciliation information and synchronizing the information. The above-mentioned full-link intelligent reconciliation method can accurately associate payment information with business settlement orders and perform efficient layered decoupling throughout the entire process, thereby achieving bidirectional reconciliation and significantly improving the reconciliation efficiency in practical applications.

The invention provides a data storage optimization method and platform for business integration, and relates to the technical field of data processing, and the method comprises the steps: carrying out the department architecture extraction of a target enterprise, and obtaining a plurality of business function departments; calling service data to obtain a plurality of pieces of historical service data; service interaction analysis is carried out, and a data integration topology network is constructed and generated; according to the data flow direction, segmenting the plurality of historical business data into a plurality of groups of business data subsets; constructing a plurality of business cooperation judgment models, and mapping and synchronizing the business cooperation judgment models to a plurality of business data uploading nodes; and performing data flow direction prediction on the dynamically uploaded service data, and performing intelligent data routing based on a prediction result to complete data storage updating of the K middleware. The technical problem that in the prior art, data management and storage of different business departments in an enterprise are generally static and isolated, and intelligent and dynamic adjustment and optimization capabilities are lacked, so that the efficiency of the whole business process is low is solved.

The invention relates to the technical field of multi-counter decoupling service integration, in particular to a multi-counter decoupling service support method based on plug-in and script development, and the method comprises the following steps: S1, layering the overall security transaction function in a demand analysis stage; s2, a diversified business plug-in module is customized according to a brokerage business mode, and the universal plug-in module and the business plug-in module are bonded through an LUA environment; and S3, the function of a basic library is completed through the universal plug-in, the entrusting server platform and the universal plug-in module are combined, and the service plug-in runs on the entrusting server platform. The whole security transaction function is divided into three parts, the part for realizing the management function of the entrusting server is realized by the entrusting server and the universal plug-in, the specific business function is realized by the function plug-in and the business script, and the function plug-in and the business script are bonded through the LUA environment.

The present invention proposes a property payment data fusion processing method and system, which relates to the technical field of business data fusion processing, and obtains owner information and building information within the property management scope, generates a building information model, obtains owner building information and building collection information; splits the building collection information to obtain a building payment split group, integrates the building collection information of the building payment split group, and obtains business fusion data; obtains fusion collection fee information, splits it, obtains type split fees, distributes and pays, calculates payment anomaly coefficients, and then performs anomaly positioning, marking and early warning; obtains the information collection amount of the building collection information, updates the fee collection and payment according to the information collection amount, and obtains fee payment update data. The present invention realizes the accurate collection and efficient management of property fees, which not only improves the efficiency and accuracy of property management, but also enhances the intelligence and transparency of fee collection.

The invention discloses a channel point location aggregation and frame selection query method based on an electronic map, belongs to the technical field of computer software and geographic information systems, and aims to solve the problems that in the prior art, dependency on a third-party map SDK and a spatial database plug-in is high, aggregation points are prone to visual jump, query performance is insufficient, and the service fusion degree is low. According to the method, spatial discretization mapping is achieved at a server side through fixed grid indexes, a standard structured query language is combined with a numerical processing function, point location gridding aggregation and polymorphic frame selection query are completed, and two-stage filtering, density self-adaptive adjustment, atomization permission control and an intelligent caching mechanism are matched. According to the method, a third-party special component is not needed, the aggregation stability, the query efficiency and the deployment suitability can be remarkably improved, and the method is suitable for massive point location map application scenes such as security monitoring and smart cities.

This invention discloses a cross-platform business system integration method based on knowledge graphs, comprising the following steps: S1, reading data from the business platform database and generating field text, entity identifiers, and relation records; S2, inputting the field text into an ALBERT model, generating field semantic vectors through a domain word vector gating layer; S3, forming triples based on entity identifiers and relation records and writing them into the knowledge graph; S4, inputting the triples into a TransH model, generating entity structure embedding vectors through dynamic rotation of relation vectors and hyperplane normal vectors; S5, generating entity embedding vectors based on field semantic vectors and entity structure embedding vectors; S6, calculating various distances based on entity embedding vectors to obtain the similarity of cross-platform candidate entity pairs; S7, performing duplicate entity determination on the similarity and updating the knowledge graph. This invention achieves accurate alignment of cross-platform business entities, improves data fusion efficiency and consistency, and is suitable for multi-source business integration scenarios.

The invention provides an intelligent construction site management system. The intelligent construction site management system comprises cloud deployment, edge deployment and end deployment. The cloud deployment comprises a data receiving and processing module, a service fusion and rule making module and a data storage and management module, and is responsible for data receiving, service fusion, rule making and storage and management of mass data. And the edge deployment comprises a data acquisition and primary processing module, a self-adaptive algorithm application module and an edge calculation module, and is responsible for data cleaning, screening, threshold rule dynamic adjustment and field data processing and analysis. The end deployment comprises a data acquisition and uploading module, an anomaly detection and alarm module and a feedback mechanism module, and is responsible for real-time data acquisition, anomaly detection and alarm and operation strategy adjustment. According to the system, through cooperative work of cloud, edge and end deployment, intelligentization and high efficiency of construction site management are realized, the management efficiency, the safety and the resource utilization rate are remarkably improved, and green construction and sustainable development are promoted.

The embodiment of the disclosure discloses an extensible low-code platform cross-system business integration method, a target terminal defines a unified and standardized data model and API interface of a low-code platform integration system and a data model and API interface of an external system according to a specification of the low-code platform; the low-code platform integration system calls an API interface of the external system to obtain basic configuration data of the external system; the external system calls an API interface of the low-code platform integration system according to a synchronization rule to execute a business data synchronization task; and the target terminal integrates the basic configuration data and the business data according to a data correspondence relationship between the basic configuration data and the business data to form a complete business. The target terminal defines the unified and standardized data model and API interface, reduces the complexity and maintenance difficulty of the low-code platform integration system itself, and improves the development efficiency of using the low-code platform to perform business integration across external systems.

The invention discloses a risk prevention method, electronic equipment, a storage medium and a product, relates to the technical field of security prevention, is applied to a business integrated management system, and comprises the following steps: for any client system managed by the business integrated management system, determining an overall security score of the client system under each security index, detecting whether the performance of each key scene in the client system reaches the available base line of the system or not; judging whether the client system reaches a system security base line based on the overall security score; and under the condition that the client system does not reach the system safety bottom line and the system available bottom line, determining that the client system has potential risks, and carrying out switching-out processing on the client system. The technical problem of how to timely discover the potential risk of the system under the condition of ensuring that the system is safe and available is solved.

The invention discloses an intelligent warehouse management system and method based on a digital twinning technology, and the system comprises an intelligent warehouse digital twinning system, a business integration data synchronization system, an equipment data protocol adaptation and collection system, and a three-dimensional twinning warehouse scene construction system, and the intelligent warehouse digital twinning system is connected with the business integration data synchronization system. And the service integration data synchronization system is connected with the equipment data protocol adaptation and acquisition system. According to the intelligent warehouse management system and method based on the digital twinborn technology, advanced technology applications such as 3D visual display and interaction are deeply fused, warehouse-in and warehouse-out information, the 3D technology, warehouse management and supervision requirements are organically combined, a digital warehouse running in parallel with a real physical warehouse is created, and the intelligent warehouse management system and method based on the digital twinborn technology have the advantages of being high in practicability and high in practicability. The invention aims to improve the warehouse management efficiency, reduce the cost, improve the safety management level and provide clearer, more visual, more comprehensive and safer management means for enterprise management.

The application discloses a cross-application page reuse method and system, and the method comprises the following steps: exporting configuration data by exporting a configuration data model, and converting the configuration data to generate a data file; wherein the configuration data is data exported by a first application according to page configuration requirements of a second application, and the configuration data comprises a custom page, table structure data, a business API, a dictionary and a dictionary API, business integration data and system variables; entering application settings of the second application, opening an upload file pop-up window component according to a setting option, and uploading a JSON file into the second application through the upload file pop-up window component; according to the page configuration requirements of the second application, the configuration data is imported by importing a configuration data model, analyzing a data file, and importing configuration data, and the first page is reused to the second application. The embodiment realizes cross-application quick page reuse, reduces the complexity and configuration time of configuration data, and improves the efficiency of application configuration.

The present application relates to the field of hot and cold data storage, and particularly to a hot and cold data storage optimization method based on a large model, comprising a business integration module, a data dependency module, a mode updating module, a hot and cold partition module and a file merging module, the business integration module is used for collecting business data to form a training data set, the data dependency module is used for fitting business data to obtain a data blood relationship model, the mode updating module is used for predicting an access mode, the hot and cold partition module is used for calculating the heat of data and performing dynamic scheduling, and the file merging module is used for automatically merging small files, the present application can reduce repeated storage, ensure data source uniqueness, standardize data storage structure, reduce storage space, can realize more efficient and more accurate hot and cold data classification, improve resource utilization of data storage hardware, reduce hot data response delay, significantly improve system storage utilization, and improve storage efficiency.

A business integration system which has an upstream unit configuration 10 and a downstream unit configuration 30 and which executes processing related to prescribed business includes: an instruction part 131 for notifying an execution instruction for the downstream unit configuration 30; a system state determination part 12 for detecting the occurrence of an event that has an impact on the processing related to the business in the business integration system and identifying the impact range of the event; and an arithmetic execution part 132 for executing the processing related to the prescribed business. The instruction part 131 provides a standby instruction for continuing the processing of the downstream unit configuration 30, with respect to the impact range, via a communication part 11, and cancels the standby instruction upon detection of restoration of the event. The arithmetic execution part 132 acquires the result of the related processing in the downstream unit configuration corresponding to the execution instruction, reflects the result of the related processing, and executes processing after the related processing.

The embodiment of the application provides a kind of calling system, it is related to computer software and information technology field, the system includes: call control cluster, media server cluster, load balancer and registration center;Registration center is used to register the information of each cluster in call control cluster and each cluster in media server cluster;Load balancer distributes outgoing service request to the first target call control instance in call control cluster;First target call control instance is used to determine the first target media server instance in media server cluster, and sends target call instruction to the first target media server instance based on outgoing service request;First target media server instance is used to establish the two-way media stream transmission channel between the first target user and the first target agent in outgoing service request.The embodiment of the application is used to provide a kind of technical scheme for solving the problems that existing call system lacks rich interface support, is not easy to do business integration and operation and maintenance.

The invention discloses a data lake storage optimization method and platform for enterprise business integration, and relates to the technical field of data processing. The method comprises the following steps: acquiring a service integration data stream of a target enterprise, and extracting a service multi-source heterogeneous data set from the service integration data stream; carrying out explicit and implicit information joint modeling to obtain an explicit and implicit information joint association result set; carrying out iterative memory storage optimization analysis, carrying out data lake storage on the business multi-source heterogeneous data set according to a target storage optimization strategy, and generating a storage optimization memory bank; and when the real-time service data is received, performing prior storage identification based on the storage optimization memory bank, obtaining a prior storage result, verifying the prior storage result, and if the verification is passed, storing the real-time service data based on the prior storage result. The technical problem of low storage efficiency of enterprise business integration data in the prior art is solved, and the technical effect of improving the storage efficiency of the data lake is achieved.

The invention discloses a variable management method based on NET-SNMP, and relates to the technical field of network communication and network management, and the method comprises the steps: obtaining first configuration information through configuring an XML configuration file and defining SNMP variables and data source mapping; based on the first configuration information, constructing an MIB data structure during operation; registering the MIB data structure to an SNMP agent to form a request entry; and processing the SNMP request according to the data source mapping through the request entry to obtain a variable result. According to the method, the technical threshold can be reduced, SNMP variable management can be realized only through configuration, configuration file modification can take effect without recompiling and restarting an SNMP proxy service, and seamless connection of services is realized.

The application provides a data storage optimization method and platform for business integration, relates to the technical field of data processing, and comprises the following steps: extracting the department architecture of a target enterprise to obtain a plurality of business function departments; calling business data to obtain a plurality of historical business data; performing business interaction analysis to construct and generate a data integration topology network; according to the data flow direction, the plurality of historical business data are divided into a plurality of groups of business data subsets; a plurality of business cooperation judgment models are constructed and mapped and synchronized to a plurality of business data uploading nodes; the data flow direction of dynamically uploaded business data is predicted, intelligent data routing is performed based on the prediction result, and data storage updating of K intermediates is completed. The application solves the technical problem that the data management and storage of different business departments in an enterprise are usually static, isolated, lack intelligent and dynamic optimization capabilities, and the overall business process efficiency is low.

The invention discloses a micro-service assembly and integration processing system, and the system comprises a business integration platform micro-service module which is used for externally disclosing an interface and serving a peripheral system; the public-to-public micro-service module is used for providing basic information query service for public-to-public customers; the private micro-service module is used for providing basic information query service for personal customers; and the signing micro-service module is used for inquiring and managing customer signing information. According to the invention, a micro-service architecture is adopted, and the system is split into a plurality of independent and autonomous services. The architecture improves the expandability, flexibility and maintainability of the system. Each micro-service can be independently developed, deployed and updated, the coupling degree between systems is reduced, and the development efficiency and the system stability are improved.

The invention provides an aquatic product operation management system, which belongs to the technical field of operation management, integrates system management, basic management, purchase management, warehouse management, quality management and financial management modules, and remarkably improves the operation efficiency and management level of enterprises. The system management module guarantees the safety and stability of the system, and the maintainability and expansibility are enhanced; the basic management module unifies data standards and simplifies the operation process; the purchasing management module optimizes the purchasing process, reduces the cost and guarantees the quality; the warehouse management module realizes inventory refined management, and improves the warehouse utilization rate and the material safety; the quality management module establishes a perfect quality system, ensures product safety and meets supervision requirements; and the financial management module realizes financial business integration, enhances financial management and control and provides decision support. All the modules cooperate to help enterprises to improve the operation efficiency, reduce the cost, guarantee the quality, optimize the decision, and assist aquatic enterprises to realize digital and intelligent management.

This invention discloses a method and system for generating cross-system business integration workflows based on a large model. The workflow generation method includes: acquiring task requirements; decomposing the task requirements into multiple sub-task description steps using a preset large model; retrieving information from each sub-task description step to obtain multiple related component information; inputting the task requirements, the sub-task description steps, and the related component information into the large model to obtain component description information; constructing a prompt template; and generating a workflow based on the prompt template, the task requirements, and the component description information using the large model. This invention can significantly improve the efficiency of business workflow generation, reduce labor costs, and improve the accuracy and applicability of workflow generation, and can be widely applied in the field of data processing technology.